\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u4e13\u5229\u89e3\u6790<\/span>Analysis of Borehole Log Digitization Patents<\/span><\/title>\n<style>\n:root {\n --bg: #f5faf7;\n --bg2: #eef6f1;\n --ink: #1a2e23;\n --muted: #5a7a6e;\n --rule: #c0d8cc;\n --accent: #059669;\n --accent2: #0d9488;\n --code-bg: #1e2d26;\n --code-fg: #d1fae5;\n}\n\n* { box-sizing: border-box; margin: 0; padding: 0; }\n\nhtml { scroll-behavior: smooth; }\n\nbody {\n font-family: \"Microsoft YaHei\", \"PingFang SC\", system-ui, -apple-system, sans-serif;\n background: var(--bg);\n color: var(--ink);\n line-height: 1.8;\n}\n\nbody.en-active { font-family: system-ui, -apple-system, sans-serif; }\n\n\/* Language Switcher Bar *\/\n.lang-bar {\n position: sticky;\n top: 0;\n z-index: 1000;\n background: var(--accent);\n display: flex;\n justify-content: center;\n gap: 1rem;\n padding: 0.6rem 1rem;\n box-shadow: 0 2px 8px rgba(0,0,0,0.15);\n}\n\n.lang-bar button {\n background: rgba(255,255,255,0.2);\n border: 2px 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0.8rem;\n font-weight: 600;\n margin-right: 0.4rem;\n margin-bottom: 0.3rem;\n}\n\n\/* Step list *\/\n.step-list {\n list-style: none;\n padding-left: 0;\n counter-reset: step-counter;\n}\n\n.step-list > li {\n counter-increment: step-counter;\n padding-left: 2.5rem;\n position: relative;\n margin: 1rem 0;\n}\n\n.step-list > li::before {\n content: counter(step-counter);\n position: absolute;\n left: 0;\n top: 0;\n width: 1.8rem;\n height: 1.8rem;\n background: var(--accent);\n color: #fff;\n border-radius: 50%;\n display: flex;\n align-items: center;\n justify-content: center;\n font-size: 0.85rem;\n font-weight: 700;\n}\n\n\/* Responsive *\/\n@media (max-width: 768px) {\n .cover h1 { font-size: 1.5rem; }\n .cover .subtitle { font-size: 1.05rem; }\n section { padding: 1.2rem 1rem; }\n section h2 { font-size: 1.3rem; }\n table { font-size: 0.85rem; }\n th, td { padding: 0.5rem; }\n .method-flow { flex-direction: column; align-items: flex-start; }\n}\n\n\/* Language display control *\/\n[data-lang=\"en\"] { display: none; }\nhtml[lang=\"en\"] [data-lang=\"zh\"] { display: none; }\nhtml[lang=\"en\"] [data-lang=\"en\"] { display: inline; }\n\nh2 [data-lang=\"en\"], h3 [data-lang=\"en\"], h4 [data-lang=\"en\"], p [data-lang=\"en\"], li [data-lang=\"en\"], th [data-lang=\"en\"], td [data-lang=\"en\"], div [data-lang=\"en\"], strong [data-lang=\"en\"] {\n display: none;\n}\n\nhtml[lang=\"en\"] h2 [data-lang=\"zh\"], html[lang=\"en\"] h3 [data-lang=\"zh\"], html[lang=\"en\"] h4 [data-lang=\"zh\"], html[lang=\"en\"] p [data-lang=\"zh\"], html[lang=\"en\"] li [data-lang=\"zh\"], html[lang=\"en\"] th [data-lang=\"zh\"], html[lang=\"en\"] td [data-lang=\"zh\"], html[lang=\"en\"] div [data-lang=\"zh\"], html[lang=\"en\"] strong [data-lang=\"zh\"] {\n display: none;\n}\n\nhtml[lang=\"en\"] h2 [data-lang=\"en\"], html[lang=\"en\"] h3 [data-lang=\"en\"], html[lang=\"en\"] h4 [data-lang=\"en\"], html[lang=\"en\"] p [data-lang=\"en\"], html[lang=\"en\"] li [data-lang=\"en\"], html[lang=\"en\"] th [data-lang=\"en\"], html[lang=\"en\"] td [data-lang=\"en\"], html[lang=\"en\"] div [data-lang=\"en\"], html[lang=\"en\"] strong [data-lang=\"en\"] {\n display: inline;\n}\n\n.toc h2 span, .cover h1 span, .cover .subtitle span, .cover .desc span, section h2 span, section h3 span, section h4 span {\n display: inline;\n}\n\nhtml[lang=\"en\"] .toc h2 [data-lang=\"zh\"], html[lang=\"en\"] .cover h1 [data-lang=\"zh\"], html[lang=\"en\"] .cover .subtitle [data-lang=\"zh\"], html[lang=\"en\"] .cover .desc [data-lang=\"zh\"], html[lang=\"en\"] section h2 [data-lang=\"zh\"], html[lang=\"en\"] section h3 [data-lang=\"zh\"], html[lang=\"en\"] section h4 [data-lang=\"zh\"] {\n display: none;\n}\n\nhtml[lang=\"en\"] .toc h2 [data-lang=\"en\"], html[lang=\"en\"] .cover h1 [data-lang=\"en\"], html[lang=\"en\"] .cover .subtitle [data-lang=\"en\"], html[lang=\"en\"] .cover .desc [data-lang=\"en\"], html[lang=\"en\"] section h2 [data-lang=\"en\"], html[lang=\"en\"] section h3 [data-lang=\"en\"], html[lang=\"en\"] section h4 [data-lang=\"en\"] {\n display: inline;\n}\n<\/style>\n<\/head>\n<body>\n\n\n<div class=\"lang-bar\">\n <button id=\"btn-zh\" class=\"active\" onclick=\"switchLanguage('zh')\">\n \u4e2d\u6587<\/span>Chinese<\/span>\n <\/button>\n <button id=\"btn-en\" onclick=\"switchLanguage('en')\">\n English<\/span>English<\/span>\n <\/button>\n<\/div>\n\n<div class=\"container\">\n\n\n<div class=\"cover\">\n <h1>\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u4e13\u5229\u89e3\u6790<\/span>Analysis of Borehole Log Digitization Patents<\/span><\/h1>\n <div class=\"subtitle\">Patent Technology Analysis<\/div>\n <div class=\"desc\">\u6df1\u5165\u89e3\u6790\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u9886\u57df\u7684\u4e2d\u56fd\u53d1\u660e\u4e13\u5229\uff0c\u68b3\u7406\u5404\u4e13\u5229\u7684\u6280\u672f\u8def\u7ebf\u3001\u6838\u5fc3\u65b9\u6cd5\u4e0e\u5de5\u7a0b\u4ef7\u503c\u3002<\/span>In-depth analysis of Chinese invention patents in borehole log digitization, covering technical routes, core methods, and engineering value.<\/span><\/div>\n<\/div>\n\n\n<nav class=\"toc\">\n <h2>\u76ee\u5f55<\/span>Table of Contents<\/span><\/h2>\n <ol>\n <li><a href=\"#overview\">\u4e13\u5229\u683c\u5c40\u6982\u8ff0<\/span>Patent Landscape Overview<\/span><\/a><\/li>\n <li><a href=\"#pattern\">\u7ed3\u6784\u6a21\u5f0f\u8bc6\u522b\u6cd5<\/span>Structural Pattern Recognition<\/span><\/a><\/li>\n <li><a href=\"#cad\">CAD\u5de5\u7a0b\u6587\u4ef6\u5904\u7406\u6cd5<\/span>CAD Engineering File Processing<\/span><\/a><\/li>\n <li><a href=\"#multisource\">\u591a\u6e90\u6570\u636e\u878d\u5408\u6cd5<\/span>Multi-source Data Fusion<\/span><\/a><\/li>\n <li><a href=\"#ocr\">\u626b\u63cf\u56fe\u4ef6OCR\u6cd5<\/span>Scanned Image OCR<\/span><\/a><\/li>\n <li><a href=\"#llm\">\u591a\u6a21\u6001\u5927\u6a21\u578b\u6cd5<\/span>Multimodal LLM Method<\/span><\/a><\/li>\n <li><a href=\"#comparison\">\u6280\u672f\u8def\u7ebf\u5bf9\u6bd4<\/span>Technical Route Comparison<\/span><\/a><\/li>\n <\/ol>\n<\/nav>\n\n<section class=\"section\" id=\"overview\">\n\n<div class=\"section-icon\">\ud83d\udcd6<\/div>\n<h2>\u4e13\u5229\u683c\u5c40\u6982\u8ff0<\/span>Patent Landscape Overview<\/span><\/h2>\n\n\u4e2d\u56fd\u5728\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u9886\u57df\u5df2\u5f62\u6210\u8f83\u4e3a\u5b8c\u6574\u7684\u6280\u672f\u4e13\u5229\u5e03\u5c40\uff0c\u8986\u76d6\u4ece\u4f20\u7edf\u56fe\u50cf\u8bc6\u522b\u5230\u524d\u6cbf\u5927\u6a21\u578b\u6280\u672f\u7684\u591a\u6761\u8def\u7ebf\u3002\u6309\u6280\u672f\u4ee3\u9645\u53ef\u5206\u4e3a\uff1a<\/span>\nChina has formed a relatively complete patent layout in borehole log digitization, covering multiple routes from traditional image recognition to cutting-edge large model technologies. By generation:<\/span><\/p>\n\n<div class=\"table-wrap\">\n<table>\n<thead>\n<tr>\n<th>\u4ee3\u9645<\/span>Generation<\/span><\/th>\n<th>\u6838\u5fc3\u6280\u672f<\/span>Core Technology<\/span><\/th>\n<th>\u4ee3\u8868\u4e13\u5229<\/span>Representative Patents<\/span><\/th>\n<th>\u7279\u70b9<\/span>Characteristics<\/span><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u7b2c\u4e00\u4ee3<\/span>1st Gen<\/span><\/td>\n<td>\u51e0\u4f55\u56fe\u5143\u8bc6\u522b+\u6a21\u677f\u5339\u914d<\/span>Geometric primitive + Template matching<\/span><\/td>\n<td>\u7ed3\u6784\u6a21\u5f0f\u8bc6\u522b\u6cd5<\/span>Structural pattern recognition<\/span><\/td>\n<td>\u57fa\u4e8e\u5ca9\u6027\u7b26\u53f7\u5f62\u72b6\u7279\u5f81<\/span>Based on lithology symbol shape features<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u7b2c\u4e8c\u4ee3<\/span>2nd Gen<\/span><\/td>\n<td>CAD\u89e3\u6790+\u533a\u57df\u5212\u5206<\/span>CAD parsing + Zone segmentation<\/span><\/td>\n<td>CAD\u5de5\u7a0b\u6587\u4ef6\u5904\u7406\u6cd5<\/span>CAD engineering file processing<\/span><\/td>\n<td>\u76f4\u63a5\u89e3\u6790\u77e2\u91cf\u56fe\u5143<\/span>Direct vector primitive parsing<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u7b2c\u4e09\u4ee3<\/span>3rd Gen<\/span><\/td>\n<td>\u5b57\u6bb5\u6620\u5c04+\u6570\u636e\u5e93\u5173\u8054+\u6821\u6838<\/span>Field mapping + DB association + Verification<\/span><\/td>\n<td>\u591a\u6e90\u6570\u636e\u878d\u5408\u6cd5<\/span>Multi-source data fusion<\/span><\/td>\n<td>\u5f3a\u8c03\u6570\u636e\u8d28\u91cf\u63a7\u5236<\/span>Emphasizes data quality control<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u7b2c\u56db\u4ee3<\/span>4th Gen<\/span><\/td>\n<td>OCR+\u6df1\u5ea6\u5b66\u4e60+\u6279\u91cf\u8bad\u7ec3<\/span>OCR + Deep learning + Batch training<\/span><\/td>\n<td>\u626b\u63cf\u56fe\u4ef6\u5168\u8981\u7d20\u8bc6\u522b\u6cd5<\/span>Scanned image full-element recognition<\/span><\/td>\n<td>\u7aef\u5230\u7aef\u81ea\u52a8\u5316\u63d0\u53d6<\/span>End-to-end automated extraction<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u7b2c\u4e94\u4ee3<\/span>5th Gen<\/span><\/td>\n<td>\u591a\u6a21\u6001\u5927\u6a21\u578b+Prompt\u5de5\u7a0b<\/span>Multimodal LLM + Prompt engineering<\/span><\/td>\n<td>\u591a\u6a21\u6001\u5927\u6a21\u578b\u8bc6\u522b\u6cd5<\/span>Multimodal LLM recognition<\/span><\/td>\n<td>\u6cdb\u5316\u80fd\u529b\u5f3a\u3001\u65e0\u9700\u5927\u91cf\u6807\u6ce8<\/span>Strong generalization, minimal labeling<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n\n<\/section>\n\n<section class=\"section\" id=\"pattern\">\n\n<div class=\"section-icon\">\ud83d\udd0d<\/div>\n<h2>\u57fa\u4e8e\u7ed3\u6784\u6a21\u5f0f\u8bc6\u522b\u7684\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u65b9\u6cd5<\/span>Structural Pattern Recognition Based Digitization<\/span><\/h2>\n\n<div class=\"patent-card\">\n<div class=\"patent-title\">\u57fa\u4e8e\u7ed3\u6784\u6a21\u5f0f\u8bc6\u522b\u7684\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u65b9\u6cd5<\/span>Borehole Log Digitization Based on Structural Pattern Recognition<\/span><\/div>\n<div class=\"patent-meta\">\n\u7533\u8bf7\u5355\u4f4d\uff1a\u4e2d\u7164\u79d1\u5de5\u897f\u5b89\u7814\u7a76\u9662 | \u6280\u672f\u4ee3\u9645\uff1a\u7b2c\u4e00\u4ee3<\/span>\nApplicant: CCTEG Xi’an Research Institute | Generation: 1st<\/span>\n<\/div>\n\n<h4>\u6280\u672f\u80cc\u666f<\/span>Technical Background<\/span><\/h4>\n\u94bb\u5b54\u67f1\u72b6\u56fe\u4e2d\u7684\u5ca9\u6027\u7b26\u53f7\u5177\u6709\u56fa\u5b9a\u51e0\u4f55\u5f62\u72b6\uff08\u5982\u5706\u5f62\u3001\u4e09\u89d2\u5f62\u3001\u6761\u7eb9\u7b49\uff09\uff0c\u4f20\u7edfOCR\u65b9\u6cd5\u65e0\u6cd5\u8bc6\u522b\u8fd9\u4e9b\u975e\u6587\u5b57\u7b26\u53f7\u3002\u672c\u4e13\u5229\u9488\u5bf9\u5ca9\u6027\u7b26\u53f7\u7684\u51e0\u4f55\u7279\u5f81\uff0c\u63d0\u51fa\u57fa\u4e8e\u7ed3\u6784\u6a21\u5f0f\u8bc6\u522b\u7684\u6570\u5b57\u5316\u65b9\u6848\u3002<\/span>\nLithology symbols in borehole logs have fixed geometric shapes (circles, triangles, stripes, etc.) that traditional OCR cannot recognize. This patent targets the geometric features of lithology symbols with a structural pattern recognition approach.<\/span><\/p>\n\n<h4>\u6838\u5fc3\u6280\u672f\u65b9\u6cd5<\/span>Core Technical Methods<\/span><\/h4>\n\n<div class=\"method-flow\">\n\u56fe\u50cf\u9884\u5904\u7406<\/span>Preprocessing<\/span><\/span>\n\u2192<\/span>\n\u7b26\u53f7\u68c0\u6d4b<\/span>Symbol Detection<\/span><\/span>\n\u2192<\/span>\n\u8fb9\u754c\u5206\u5272<\/span>Boundary Segmentation<\/span><\/span>\n\u2192<\/span>\n\u51e0\u4f55\u7279\u5f81\u63d0\u53d6<\/span>Feature Extraction<\/span><\/span>\n\u2192<\/span>\n\u6a21\u677f\u5339\u914d<\/span>Template Matching<\/span><\/span>\n\u2192<\/span>\n\u5ca9\u6027\u5b9a\u540d<\/span>Lithology Naming<\/span><\/span>\n<\/div>\n\n<ol>\n<li>\u5ca9\u6027\u7b26\u53f7\u51e0\u4f55\u56fe\u5143\u8bc6\u522b<\/span>Lithology Symbol Geometric Primitive Recognition<\/span><\/strong><br\/>\n\u901a\u8fc7\u8fb9\u7f18\u68c0\u6d4b\u548c\u8f6e\u5ed3\u63d0\u53d6\u7b97\u6cd5\uff0c\u8bc6\u522b\u67f1\u72b6\u56fe\u4e2d\u7684\u5ca9\u6027\u7b26\u53f7\u533a\u57df\u3002\u5c06\u7b26\u53f7\u5206\u89e3\u4e3a\u57fa\u672c\u51e0\u4f55\u56fe\u5143\uff08\u7ebf\u6bb5\u3001\u5706\u5f27\u3001\u95ed\u5408\u533a\u57df\u7b49\uff09\uff0c\u6784\u5efa\u7b26\u53f7\u7684\u51e0\u4f55\u7279\u5f81\u5411\u91cf\u3002<\/span>\nIdentifies lithology symbol regions via edge detection and contour extraction. Decomposes symbols into basic geometric primitives (line segments, arcs, closed regions) to build geometric feature vectors.<\/span><\/li>\n\n<li>\u6309\u7b26\u53f7\u8fb9\u754c\u5206\u5272\u5730\u5c42\u6bb5<\/span>Stratigraphic Interval Segmentation by Symbol Boundaries<\/span><\/strong><br\/>\n\u76f8\u90bb\u5ca9\u6027\u7b26\u53f7\u4e4b\u95f4\u7684\u8fb9\u754c\u5373\u4e3a\u5730\u5c42\u5206\u5c42\u754c\u9762\u3002\u901a\u8fc7\u7b26\u53f7\u4f4d\u7f6e\u81ea\u52a8\u8ba1\u7b97\u6bcf\u4e2a\u5730\u5c42\u6bb5\u7684\u9876\u5e95\u6df1\u5ea6\u3002<\/span>\nBoundaries between adjacent lithology symbols serve as stratigraphic layer interfaces. Automatically calculates top\/bottom depths for each interval from symbol positions.<\/span><\/li>\n\n<li>\u7b26\u53f7-\u6a21\u677f\u5339\u914d<\/span>Symbol-Template Matching<\/span><\/strong><br\/>\n\u5efa\u7acb\u6807\u51c6\u5ca9\u6027\u7b26\u53f7\u6a21\u677f\u5e93\uff0c\u5c06\u63d0\u53d6\u7684\u7b26\u53f7\u7279\u5f81\u5411\u91cf\u4e0e\u6a21\u677f\u5e93\u8fdb\u884c\u76f8\u4f3c\u5ea6\u8ba1\u7b97\uff08\u5982Hu\u77e9\u3001\u5f62\u72b6\u4e0a\u4e0b\u6587\u7b49\uff09\uff0c\u786e\u5b9a\u5ca9\u6027\u540d\u79f0\u3002<\/span>\nEstablishes a standard lithology symbol template library. Computes similarity (Hu moments, shape context, etc.) between extracted symbol feature vectors and templates to determine lithology names.<\/span><\/li>\n<\/ol>\n\n<h4>\u6280\u672f\u4f18\u52bf\u4e0e\u5c40\u9650<\/span>Advantages & Limitations<\/span><\/h4>\n<div class=\"tip-box\">\n\u4f18\u52bf\uff1a<\/span>Advantages:<\/span><\/strong><br\/>\n– \u4e0d\u4f9d\u8d56OCR\uff0c\u5bf9\u4f4e\u8d28\u91cf\u626b\u63cf\u4ef6\u9c81\u68d2\u6027\u9ad8<br\/>– \u7b26\u53f7\u8bc6\u522b\u51c6\u786e\u7387\u8f83\u9ad8\uff08\u6807\u51c6\u5316\u7b26\u53f7\uff09<\/span>\n– Independent of OCR, robust to low-quality scans<br\/>– High symbol recognition accuracy (standardized symbols)<\/span>\n<\/div>\n<div class=\"tip-box warn\">\n\u5c40\u9650\uff1a<\/span>Limitations:<\/span><\/strong><br\/>\n– \u4ec5\u9002\u7528\u4e8e\u6807\u51c6\u5316\u5ca9\u6027\u7b26\u53f7\uff0c\u5bf9\u975e\u6807\u51c6\u624b\u7ed8\u7b26\u53f7\u6548\u679c\u5dee<br\/>– \u65e0\u6cd5\u5904\u7406\u6587\u5b57\u63cf\u8ff0\u4fe1\u606f<\/span>\n– Only works for standardized lithology symbols; poor for non-standard hand-drawn symbols<br\/>– Cannot process text descriptions<\/span>\n<\/div>\n<\/div>\n\n<\/section>\n\n<section class=\"section\" id=\"cad\">\n\n<div class=\"section-icon\">\ud83d\udcd0<\/div>\n<h2>\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u636e\u7684\u5904\u7406\u65b9\u6cd5\uff08CAD\u5de5\u7a0b\u6587\u4ef6\u6cd5\uff09<\/span>Borehole Log Data Processing Method (CAD-based)<\/span><\/h2>\n\n<div class=\"patent-card\">\n<div class=\"patent-title\">\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u636e\u7684\u5904\u7406\u65b9\u6cd5<\/span>Borehole Log Data Processing Method<\/span><\/div>\n<div class=\"patent-meta\">\n\u7533\u8bf7\u5355\u4f4d\uff1a\u4e2d\u79d1\u9662\u5e7f\u5dde\u5730\u7403\u5316\u5b66\u7814\u7a76\u6240 | \u6280\u672f\u4ee3\u9645\uff1a\u7b2c\u4e8c\u4ee3<\/span>\nApplicant: GIGCAS | Generation: 2nd<\/span>\n<\/div>\n\n<h4>\u6280\u672f\u80cc\u666f<\/span>Technical Background<\/span><\/h4>\n\u56fd\u5185\u5730\u52d8\u884c\u4e1a\u5927\u91cf\u4f7f\u7528AutoCAD\u7ed8\u5236\u94bb\u5b54\u67f1\u72b6\u56fe\uff0c\u8fd9\u4e9bCAD\u6587\u4ef6\u4e2d\u5305\u542b\u77e2\u91cf\u5316\u7684\u51e0\u4f55\u56fe\u5143\u548c\u6587\u5b57\u5bf9\u8c61\uff0c\u53ef\u4ee5\u76f4\u63a5\u89e3\u6790\u83b7\u53d6\u7cbe\u786e\u6570\u636e\uff0c\u65e0\u9700\u7ecf\u8fc7OCR\u73af\u8282\u3002<\/span>\nChina’s geotechnical industry widely uses AutoCAD for borehole log drafting. These CAD files contain vectorized geometric primitives and text objects that can be directly parsed for accurate data without OCR.<\/span><\/p>\n\n<h4>\u6838\u5fc3\u6280\u672f\u65b9\u6cd5<\/span>Core Technical Methods<\/span><\/h4>\n\n<div class=\"method-flow\">\nCAD \u8bfb\u53d6<\/span>Read<\/span><\/span>\n\u2192<\/span>\n\u56fe\u9762\u626b\u63cf<\/span>Surface Scan<\/span><\/span>\n\u2192<\/span>\n\u533a\u57df\u5212\u5206<\/span>Zone Segmentation<\/span><\/span>\n\u2192<\/span>\n\u81ea\u52a8\u5efa\u8868<\/span>Auto Table Build<\/span><\/span>\n\u2192<\/span>\n\u8d28\u91cf\u68c0\u67e5<\/span>Quality Check<\/span><\/span>\n\u2192<\/span>\n\u5f02\u5e38\u5b9a\u4f4d<\/span>Anomaly Location<\/span><\/span>\n<\/div>\n\n<ol class=\"step-list\">\n<li>\u8bfb\u53d6CAD\u5de5\u7a0b\u6587\u4ef6<\/span>Read CAD Engineering File<\/span><\/strong><br\/>\n\u76f4\u63a5\u8bfb\u53d6DWG\/DXF\u683c\u5f0f\u6587\u4ef6\uff0c\u89e3\u6790\u5176\u4e2d\u6240\u6709\u51e0\u4f55\u56fe\u5143\uff08LINE\u3001TEXT\u3001MTEXT\u3001POLYLINE\u7b49\uff09\u548c\u5c5e\u6027\u4fe1\u606f\uff0c\u4fdd\u7559\u7cbe\u786e\u5750\u6807\u548c\u6587\u5b57\u5185\u5bb9\u3002<\/span>\nDirectly reads DWG\/DXF files, parsing all geometric primitives (LINE, TEXT, MTEXT, POLYLINE, etc.) and attributes, preserving exact coordinates and text content.<\/span><\/li>\n\n<li>\u626b\u63cf\u56fe\u9762\u7ed3\u6784<\/span>Scan Drawing Surface Structure<\/span><\/strong><br\/>\n\u901a\u8fc7\u7a7a\u95f4\u805a\u7c7b\u7b97\u6cd5\u5206\u6790\u56fe\u5143\u7684\u7a7a\u95f4\u5206\u5e03\u6a21\u5f0f\uff0c\u8bc6\u522b\u94bb\u5b54\u67f1\u72b6\u56fe\u7684\u680f\u76ee\u7ed3\u6784\uff08\u5982\u5b54\u53e3\u4fe1\u606f\u680f\u3001\u5730\u5c42\u63cf\u8ff0\u680f\u3001\u6d4b\u4e95\u66f2\u7ebf\u680f\u7b49\uff09\u3002<\/span>\nAnalyzes spatial distribution patterns of primitives via spatial clustering algorithms to identify column structures (collar info, stratigraphic description, log curves, etc.).<\/span><\/li>\n\n<li>\u5212\u5206\u7ed3\u6784\u533a\u57df<\/span>Segment Structural Regions<\/span><\/strong><br\/>\n\u6839\u636e\u680f\u76ee\u7ed3\u6784\u5c06\u56fe\u9762\u5212\u5206\u4e3a\u82e5\u5e72\u903b\u8f91\u533a\u57df\uff0c\u6bcf\u4e2a\u533a\u57df\u5bf9\u5e94\u4e00\u7c7b\u6570\u636e\uff08\u57fa\u672c\u4fe1\u606f\u3001\u5206\u5c42\u6570\u636e\u3001\u8bd5\u9a8c\u6570\u636e\u7b49\uff09\u3002<\/span>\nDivides the drawing into logical regions by column structure, each corresponding to a data category (basic info, layer data, test data, etc.).<\/span><\/li>\n\n<li>\u81ea\u52a8\u5efa\u8868\u63d0\u53d6\u6570\u636e<\/span>Auto Table Building & Data Extraction<\/span><\/strong><br\/>\n\u5728\u6bcf\u4e2a\u903b\u8f91\u533a\u57df\u5185\uff0c\u6309\u884c\u5217\u5173\u7cfb\u7ec4\u7ec7\u56fe\u5143\u6570\u636e\uff0c\u81ea\u52a8\u6784\u5efa\u7ed3\u6784\u5316\u8868\u683c\u3002\u901a\u8fc7\u56fe\u5143\u7684\u4f4d\u7f6e\u5173\u7cfb\uff08\u5982\u6587\u5b57\u5bf9\u9f50\u3001\u7ebf\u6846\u5305\u56f4\uff09\u786e\u5b9a\u5b57\u6bb5\u5bf9\u5e94\u5173\u7cfb\u3002<\/span>\nWithin each logical region, organizes primitive data by row-column relationships to auto-build structured tables. Determines field mappings through positional relationships (text alignment, line bounding).<\/span><\/li>\n\n<li>\u8d28\u91cf\u68c0\u67e5\u4e0e\u5f02\u5e38\u5b9a\u4f4d<\/span>Quality Check & Anomaly Location<\/span><\/strong><br\/>\n\u5bf9\u63d0\u53d6\u7ed3\u679c\u8fdb\u884c\u81ea\u52a8\u6821\u9a8c\uff1a\u6df1\u5ea6\u9012\u589e\u68c0\u67e5\u3001\u5b57\u6bb5\u5b8c\u6574\u6027\u68c0\u67e5\u3001\u903b\u8f91\u4e00\u81f4\u6027\u68c0\u67e5\u3002\u53d1\u73b0\u5f02\u5e38\u65f6\uff0c\u5728CAD\u56fe\u9762\u4e0a\u7cbe\u786e\u5b9a\u4f4d\u5e76\u6807\u6ce8\u5f02\u5e38\u4f4d\u7f6e\u3002<\/span>\nAuto-validates extraction results: depth monotonicity, field completeness, logical consistency. When anomalies are found, precisely locates and marks them on the CAD drawing.<\/span><\/li>\n<\/ol>\n\n<h4>\u6280\u672f\u4f18\u52bf\u4e0e\u5c40\u9650<\/span>Advantages & Limitations<\/span><\/h4>\n<div class=\"tip-box\">\n\u4f18\u52bf\uff1a<\/span>Advantages:<\/span><\/strong><br\/>\n– \u7cbe\u5ea6\u6781\u9ad8\uff0c\u76f4\u63a5\u8bfb\u53d6\u77e2\u91cf\u6570\u636e\u65e0OCR\u8bef\u5dee<br\/>– \u53ef\u4fdd\u7559\u7a7a\u95f4\u4f4d\u7f6e\u4fe1\u606f<br\/>– \u5f02\u5e38\u5b9a\u4f4d\u529f\u80fd\u4fbf\u4e8e\u4eba\u5de5\u590d\u6838<\/span>\n– Extremely high precision; direct vector data reading without OCR errors<br\/>– Preserves spatial position information<br\/>– Anomaly location facilitates manual review<\/span>\n<\/div>\n<div class=\"tip-box warn\">\n\u5c40\u9650\uff1a<\/span>Limitations:<\/span><\/strong><br\/>\n– \u4ec5\u9002\u7528\u4e8e\u77e2\u91cfCAD\u6587\u4ef6\uff0c\u65e0\u6cd5\u5904\u7406\u626b\u63cf\u56fe\u7247<br\/>– \u4e0d\u540c\u5355\u4f4d\u7684CAD\u7ed8\u56fe\u89c4\u8303\u5dee\u5f02\u5927\uff0c\u9002\u5e94\u6027\u6709\u9650<\/span>\n– Only works for vector CAD files; cannot process scanned images<br\/>– Different organizations’ CAD drafting standards vary widely, limiting adaptability<\/span>\n<\/div>\n<\/div>\n\n<\/section>\n\n<section class=\"section\" id=\"multisource\">\n\n<div class=\"section-icon\">\ud83d\udd17<\/div>\n<h2>\u57fa\u4e8e\u591a\u6e90\u6570\u636e\u878d\u5408\u7684\u94bb\u5b54\u67f1\u72b6\u56fe\u7ed3\u6784\u5316\u5904\u7406\u65b9\u6cd5<\/span>Multi-source Data Fusion Based Structured Processing<\/span><\/h2>\n\n<div class=\"patent-card\">\n<div class=\"patent-title\">\u57fa\u4e8e\u591a\u6e90\u6570\u636e\u878d\u5408\u7684\u94bb\u5b54\u67f1\u72b6\u56fe\u7ed3\u6784\u5316\u5904\u7406\u65b9\u6cd5<\/span>Structured Processing Method Based on Multi-source Data Fusion<\/span><\/div>\n<div class=\"patent-meta\">\n\u6280\u672f\u4ee3\u9645\uff1a\u7b2c\u4e09\u4ee3<\/span>\nGeneration: 3rd<\/span>\n<\/div>\n\n<h4>\u6280\u672f\u80cc\u666f<\/span>Technical Background<\/span><\/h4>\n\u94bb\u5b54\u6570\u636e\u6765\u6e90\u591a\u6837\uff08\u91ce\u5916\u8bb0\u5f55\u3001\u5b9e\u9a8c\u5ba4\u62a5\u544a\u3001\u6d4b\u4e95\u66f2\u7ebf\u3001\u8bbe\u8ba1\u6587\u6863\u7b49\uff09\uff0c\u683c\u5f0f\u4e0d\u7edf\u4e00\uff0c\u6df1\u5ea6\u57fa\u51c6\u53ef\u80fd\u4e0d\u4e00\u81f4\u3002\u5355\u4e00\u6765\u6e90\u7684\u6570\u636e\u5f80\u5f80\u4e0d\u5b8c\u6574\uff0c\u9700\u8981\u591a\u6e90\u878d\u5408\u4e0e\u4ea4\u53c9\u9a8c\u8bc1\u3002<\/span>\nBorehole data comes from diverse sources (field records, lab reports, log curves, design documents) with inconsistent formats and depth references. Single-source data is often incomplete, requiring multi-source fusion and cross-validation.<\/span><\/p>\n\n<h4>\u6838\u5fc3\u6280\u672f\u65b9\u6cd5<\/span>Core Technical Methods<\/span><\/h4>\n\n<div class=\"method-flow\">\n\u5b57\u6bb5\u6620\u5c04<\/span>Field Mapping<\/span><\/span>\n\u2192<\/span>\n\u683c\u5f0f\u8f6c\u6362<\/span>Format Conversion<\/span><\/span>\n\u2192<\/span>\n\u6570\u636e\u5e93\u5173\u8054<\/span>DB Association<\/span><\/span>\n\u2192<\/span>\n\u6df1\u5ea6\u5bf9\u9f50<\/span>Depth Alignment<\/span><\/span>\n\u2192<\/span>\n\u591a\u5c42\u7ea7\u6821\u6838<\/span>Multi-level Verification<\/span><\/span>\n<\/div>\n\n<ol class=\"step-list\">\n<li>\u5b57\u6bb5\u6620\u5c04<\/span>Field Mapping<\/span><\/strong><br\/>\n\u5efa\u7acb\u4e0d\u540c\u6570\u636e\u6e90\u95f4\u7684\u5b57\u6bb5\u6620\u5c04\u5b57\u5178\uff0c\u5c06\u5404\u6765\u6e90\u7684\u540c\u4e49\u5b57\u6bb5\u7edf\u4e00\u4e3a\u6807\u51c6\u5b57\u6bb5\u540d\u3002\u4f8b\u5982\u5c06”\u5b54\u6df1”\u3001”\u4e95\u6df1”\u3001”Depth”\u6620\u5c04\u4e3a\u7edf\u4e00\u5b57\u6bb5”depth”\u3002<\/span>\nEstablishes field mapping dictionaries between different data sources, unifying synonymous fields to standard names. E.g., maps “\u5b54\u6df1”, “\u4e95\u6df1”, “Depth” to unified field “depth”.<\/span><\/li>\n\n<li>\u683c\u5f0f\u8f6c\u6362<\/span>Format Conversion<\/span><\/strong><br\/>\n\u5c06Excel\u3001CSV\u3001PDF\u8868\u683c\u3001\u6570\u636e\u5e93\u8bb0\u5f55\u7b49\u591a\u79cd\u683c\u5f0f\u7edf\u4e00\u8f6c\u6362\u4e3a\u4e2d\u95f4\u6807\u51c6\u683c\u5f0f\uff08\u5982JSON\/XML\uff09\uff0c\u4fdd\u7559\u539f\u59cb\u6570\u636e\u6765\u6e90\u6807\u8bb0\u3002<\/span>\nConverts Excel, CSV, PDF tables, database records, etc. into an intermediate standard format (JSON\/XML), preserving original data source tags.<\/span><\/li>\n\n<li>\u6570\u636e\u5e93\u5173\u8054<\/span>Database Association<\/span><\/strong><br\/>\n\u4ee5\u94bb\u5b54\u7f16\u53f7\u4e3a\u952e\uff0c\u5c06\u6765\u81ea\u4e0d\u540c\u6570\u636e\u6e90\u7684\u8bb0\u5f55\u5173\u8054\u5230\u540c\u4e00\u94bb\u5b54\u5b9e\u4f53\u4e0b\uff0c\u5efa\u7acb\u4e3b\u4ece\u8868\u5173\u7cfb\uff08\u5982\u94bb\u5b54\u57fa\u672c\u4fe1\u606f\u4e3a\u4e3b\u8868\uff0c\u5730\u5c42\u7f16\u5f55\u3001\u8bd5\u9a8c\u6570\u636e\u4e3a\u4ece\u8868\uff09\u3002<\/span>\nUses borehole ID as key to associate records from different sources under the same borehole entity, establishing master-detail relationships (basic info as master, stratigraphic logs and test data as details).<\/span><\/li>\n\n<li>\u5730\u5c42-\u6d4b\u4e95\u6570\u636e\u6df1\u5ea6\u5bf9\u9f50<\/span>Stratigraphy-Log Depth Alignment<\/span><\/strong><br\/>\n\u8fd9\u662f\u6838\u5fc3\u521b\u65b0\u70b9\u3002\u5730\u5c42\u7f16\u5f55\u7684\u5206\u5c42\u6df1\u5ea6\u4e0e\u6d4b\u4e95\u66f2\u7ebf\u7684\u91c7\u6837\u6df1\u5ea6\u901a\u5e38\u4e0d\u5b8c\u5168\u4e00\u81f4\uff0c\u9700\u8981\u57fa\u4e8e\u6df1\u5ea6\u63d2\u503c\u6216\u6700\u8fd1\u90bb\u5339\u914d\u5c06\u4e24\u7c7b\u6570\u636e\u5bf9\u9f50\u5230\u7edf\u4e00\u6df1\u5ea6\u7f51\u683c\u3002<\/span>\nThis is the core innovation. Stratigraphic log layer depths and log curve sample depths usually don’t exactly align; depth interpolation or nearest-neighbor matching is used to align both to a unified depth grid.<\/span><\/li>\n\n<li>\u591a\u5c42\u7ea7\u6821\u6838<\/span>Multi-level Verification<\/span><\/strong><br\/>\n\u8bbe\u8ba1\u4e09\u7ea7\u6821\u6838\u673a\u5236\uff1a<\/span>\nA three-level verification mechanism is designed:<\/span>\n <ul>\n <li>\u5b57\u6bb5\u7ea7\uff1a\u6570\u636e\u7c7b\u578b\u3001\u53d6\u503c\u8303\u56f4\u3001\u5355\u4f4d\u4e00\u81f4\u6027<\/span>\n Field-level: data type, value range, unit consistency<\/span><\/li>\n <li>\u8bb0\u5f55\u7ea7\uff1a\u5355\u5b54\u5185\u5730\u5c42\u8fde\u7eed\u6027\u3001\u6df1\u5ea6\u903b\u8f91<\/span>\n Record-level: intra-borehole stratigraphic continuity, depth logic<\/span><\/li>\n <li>\u9879\u76ee\u7ea7\uff1a\u591a\u5b54\u95f4\u5730\u5c42\u5bf9\u6bd4\u4e00\u81f4\u6027\u3001\u7a7a\u95f4\u5206\u5e03\u5408\u7406\u6027<\/span>\n Project-level: inter-borehole stratigraphic correlation consistency, spatial distribution plausibility<\/span><\/li>\n <\/ul>\n<\/li>\n<\/ol>\n\n<h4>\u6280\u672f\u4f18\u52bf\u4e0e\u5c40\u9650<\/span>Advantages & Limitations<\/span><\/h4>\n<div class=\"tip-box\">\n\u4f18\u52bf\uff1a<\/span>Advantages:<\/span><\/strong><br\/>\n– \u591a\u6e90\u6570\u636e\u4e92\u8865\uff0c\u63d0\u5347\u6570\u636e\u5b8c\u6574\u6027<br\/>– \u6df1\u5ea6\u5bf9\u9f50\u7b97\u6cd5\u89e3\u51b3\u5f02\u6784\u6570\u636e\u878d\u5408\u96be\u9898<br\/>– \u591a\u7ea7\u6821\u6838\u786e\u4fdd\u6570\u636e\u8d28\u91cf<\/span>\n– Multi-source data complementarity improves completeness<br\/>– Depth alignment solves heterogeneous data fusion challenges<br\/>– Multi-level verification ensures data quality<\/span>\n<\/div>\n<div class=\"tip-box warn\">\n\u5c40\u9650\uff1a<\/span>Limitations:<\/span><\/strong><br\/>\n– \u4f9d\u8d56\u7ed3\u6784\u5316\u8f93\u5165\u6e90\uff0c\u5bf9\u626b\u63cf\u56fe\u7247\/\u7eb8\u8d28\u6587\u6863\u9700\u524d\u7f6eOCR<br\/>– \u5b57\u6bb5\u6620\u5c04\u89c4\u5219\u9700\u4eba\u5de5\u7ef4\u62a4<\/span>\n– Depends on structured input sources; scanned images\/paper require\u524d\u7f6e OCR<br\/>– Field mapping rules require manual maintenance<\/span>\n<\/div>\n<\/div>\n\n<\/section>\n\n<section class=\"section\" id=\"ocr\">\n\n<div class=\"section-icon\">\ud83d\udcc4<\/div>\n<h2>\u626b\u63cf\u94bb\u5b54\u67f1\u72b6\u56fe\u5168\u8981\u7d20\u4fe1\u606f\u81ea\u52a8\u8bc6\u522b\u63d0\u53d6\u65b9\u6cd5<\/span>Scanned Borehole Log Full-Element Auto Recognition<\/span><\/h2>\n\n<div class=\"patent-card\">\n<div class=\"patent-title\">\u626b\u63cf\u94bb\u5b54\u67f1\u72b6\u56fe\u5168\u8981\u7d20\u4fe1\u606f\u81ea\u52a8\u8bc6\u522b\u63d0\u53d6\u65b9\u6cd5<\/span>Full-Element Information Auto Extraction from Scanned Borehole Logs<\/span><\/div>\n<div class=\"patent-meta\">\n\u6280\u672f\u4ee3\u9645\uff1a\u7b2c\u56db\u4ee3<\/span>\nGeneration: 4th<\/span>\n<\/div>\n\n<h4>\u6280\u672f\u80cc\u666f<\/span>Technical Background<\/span><\/h4>\n\u5386\u53f2\u94bb\u5b54\u6863\u6848\u4ee5\u626b\u63cf\u56fe\u7247\u4e3a\u4e3b\uff0c\u5305\u542b\u6587\u5b57\u3001\u6570\u5b57\u3001\u5ca9\u6027\u7b26\u53f7\u3001\u66f2\u7ebf\u7b49\u591a\u79cd\u8981\u7d20\u3002\u4f20\u7edf\u65b9\u6cd5\u9700\u8981\u4eba\u5de5\u9010\u9879\u5f55\u5165\uff0c\u6548\u7387\u6781\u4f4e\u3002\u672c\u4e13\u5229\u63d0\u51fa\u7aef\u5230\u7aef\u7684\u81ea\u52a8\u5316\u8bc6\u522b\u65b9\u6848\u3002<\/span>\nHistorical drilling archives are mostly scanned images containing text, numbers, lithology symbols, curves, and other elements. Traditional methods require manual entry item by item, which is extremely inefficient. This patent proposes an end-to-end automated recognition solution.<\/span><\/p>\n\n<h4>\u6838\u5fc3\u6280\u672f\u65b9\u6cd5<\/span>Core Technical Methods<\/span><\/h4>\n\n<div class=\"method-flow\">\n\u6837\u672c\u6279\u91cf\u751f\u6210<\/span>Batch Sample Gen<\/span><\/span>\n\u2192<\/span>\nOCR\u6a21\u578b\u8bad\u7ec3<\/span>OCR Model Training<\/span><\/span>\n\u2192<\/span>\n\u7279\u6b8a\u7b26\u53f7\u8bc6\u522b<\/span>Special Symbol Recognition<\/span><\/span>\n\u2192<\/span>\n\u5168\u8981\u7d20\u63d0\u53d6<\/span>Full-element Extraction<\/span><\/span>\n\u2192<\/span>\nXML\u7ed3\u6784\u5316\u5b58\u50a8<\/span>XML Structured Storage<\/span><\/span>\n<\/div>\n\n<ol class=\"step-list\">\n<li>\u6279\u91cf\u751f\u6210\u6587\u5b57\u6837\u672c\u8bad\u7ec3OCR\u6a21\u578b<\/span>Batch Text Sample Generation for OCR Training<\/span><\/strong><br\/>\n\u9488\u5bf9\u94bb\u5b54\u67f1\u72b6\u56fe\u7684\u7279\u5b9a\u5b57\u4f53\u548c\u6392\u7248\u98ce\u683c\uff0c\u6279\u91cf\u5408\u6210\u8bad\u7ec3\u6837\u672c\uff08\u5305\u62ec\u4e0d\u540c\u5b57\u4f53\u3001\u5b57\u53f7\u3001\u65cb\u8f6c\u89d2\u5ea6\u3001\u566a\u58f0\u6c34\u5e73\uff09\uff0c\u8bad\u7ec3\u4e13\u7528OCR\u6a21\u578b\u3002\u8fd9\u6bd4\u901a\u7528OCR\u6a21\u578b\u5728\u8be5\u9886\u57df\u51c6\u786e\u7387\u66f4\u9ad8\u3002<\/span>\nFor the specific fonts and layout styles of borehole logs, batch-synthesizes training samples (different fonts, sizes, rotation angles, noise levels) to train domain-specific OCR models, achieving higher accuracy than general OCR.<\/span><\/li>\n\n<li>\u7279\u6b8a\u7b26\u53f7\u8bc6\u522b<\/span>Special Symbol Recognition<\/span><\/strong><br\/>\n\u5ca9\u6027\u7b26\u53f7\u3001\u6807\u8d2f\u7b26\u53f7\u3001\u53d6\u82af\u7b26\u53f7\u7b49\u975e\u6587\u5b57\u8981\u7d20\uff0c\u91c7\u7528\u76ee\u6807\u68c0\u6d4b\uff08\u5982YOLO\u3001Faster R-CNN\uff09\u6216\u4f20\u7edf\u56fe\u50cf\u5904\u7406\u65b9\u6cd5\uff08\u8fde\u901a\u57df\u5206\u6790\u3001\u5f62\u72b6\u63cf\u8ff0\u5b50\uff09\u8fdb\u884c\u8bc6\u522b\u548c\u5206\u7c7b\u3002<\/span>\nNon-text elements such as lithology symbols, SPT symbols, and core recovery symbols are recognized and classified using object detection (YOLO, Faster R-CNN) or traditional image processing (connected component analysis, shape descriptors).<\/span><\/li>\n\n<li>\u5168\u8981\u7d20\u4fe1\u606f\u63d0\u53d6<\/span>Full-Element Information Extraction<\/span><\/strong><br\/>\n\u6574\u5408OCR\u6587\u5b57\u7ed3\u679c\u548c\u7b26\u53f7\u8bc6\u522b\u7ed3\u679c\uff0c\u901a\u8fc7\u7248\u9762\u5206\u6790\u786e\u5b9a\u5404\u8981\u7d20\u95f4\u7684\u7a7a\u95f4\u5173\u7cfb\uff08\u5982\u67d0\u6df1\u5ea6\u503c\u5c5e\u4e8e\u54ea\u4e00\u5730\u5c42\u6bb5\uff09\uff0c\u8f93\u51fa\u5b8c\u6574\u7684\u7ed3\u6784\u5316\u8bb0\u5f55\u3002<\/span>\nIntegrates OCR text results and symbol recognition results. Uses layout analysis to determine spatial relationships between elements (e.g., which depth value belongs to which stratigraphic interval), outputting complete structured records.<\/span><\/li>\n\n<li>XML\u7ed3\u6784\u5316\u5b58\u50a8<\/span>XML Structured Storage<\/span><\/strong><br\/>\n\u5c06\u63d0\u53d6\u7ed3\u679c\u6309\u9884\u5b9a\u4e49\u7684XML Schema\u5b58\u50a8\uff0c\u5305\u542b\u94bb\u5b54\u57fa\u672c\u4fe1\u606f\u3001\u5730\u5c42\u5206\u5c42\u5217\u8868\u3001\u8bd5\u9a8c\u6570\u636e\u5217\u8868\u3001\u7b26\u53f7\u8bc6\u522b\u7ed3\u679c\u7b49\uff0c\u4fbf\u4e8e\u540e\u7eed\u7cfb\u7edf\u96c6\u6210\u3002<\/span>\nStores extraction results according to a predefined XML Schema, including basic borehole info, stratigraphic interval list, test data list, symbol recognition results, etc., facilitating subsequent system integration.<\/span><\/li>\n<\/ol>\n\n<h4>\u6280\u672f\u4f18\u52bf\u4e0e\u5c40\u9650<\/span>Advantages & Limitations<\/span><\/h4>\n<div class=\"tip-box\">\n\u4f18\u52bf\uff1a<\/span>Advantages:<\/span><\/strong><br\/>\n– \u7aef\u5230\u7aef\u81ea\u52a8\u5316\uff0c\u65e0\u9700\u4eba\u5de5\u5e72\u9884<br\/>– \u4e13\u7528OCR\u6a21\u578b\u9488\u5bf9\u6027\u5f3a\uff0c\u51c6\u786e\u7387\u9ad8<br\/>– XML\u8f93\u51fa\u6807\u51c6\u5316\uff0c\u4fbf\u4e8e\u96c6\u6210<\/span>\n– End-to-end automation without manual intervention<br\/>– Domain-specific OCR model has strong targeting and high accuracy<br\/>– Standardized XML output facilitates integration<\/span>\n<\/div>\n<div class=\"tip-box warn\">\n\u5c40\u9650\uff1a<\/span>Limitations:<\/span><\/strong><br\/>\n– \u9700\u8981\u5927\u91cf\u6807\u6ce8\u6837\u672c\u8bad\u7ec3\u4e13\u7528\u6a21\u578b<br\/>– \u5bf9\u65b0\u683c\u5f0f\/\u65b0\u5b57\u4f53\u7684\u6cdb\u5316\u80fd\u529b\u6709\u9650<br\/>– \u590d\u6742\u8868\u683c\u7ed3\u6784\u7684\u7406\u89e3\u4ecd\u6709\u6311\u6218<\/span>\n– Requires large amounts of labeled samples to train specialized models<br\/>– Limited generalization to new formats\/fonts<br\/>– Understanding complex table structures remains challenging<\/span>\n<\/div>\n<\/div>\n\n<\/section>\n\n<section class=\"section\" id=\"llm\">\n\n<div class=\"section-icon\">\ud83e\udd16<\/div>\n<h2>\u57fa\u4e8e\u591a\u6a21\u6001\u5927\u6a21\u578b\u7684\u94bb\u5b54\u67f1\u72b6\u56fe\u4fe1\u606f\u8bc6\u522b\u63d0\u53d6\u65b9\u6cd5<\/span>Multimodal LLM Based Borehole Log Information Extraction<\/span><\/h2>\n\n<div class=\"patent-card\">\n<div class=\"patent-title\">\u57fa\u4e8e\u591a\u6a21\u6001\u5927\u6a21\u578b\u7684\u94bb\u5b54\u67f1\u72b6\u56fe\u4fe1\u606f\u8bc6\u522b\u63d0\u53d6\u65b9\u6cd5<\/span>Borehole Log Information Extraction Based on Multimodal Large Models<\/span><\/div>\n<div class=\"patent-meta\">\n\u6280\u672f\u4ee3\u9645\uff1a\u7b2c\u4e94\u4ee3<\/span>\nGeneration: 5th<\/span>\n<\/div>\n\n<h4>\u6280\u672f\u80cc\u666f<\/span>Technical Background<\/span><\/h4>\n\u4f20\u7edfOCR\u548c\u4e13\u7528\u6a21\u578b\u9700\u8981\u4e3a\u6bcf\u79cd\u65b0\u683c\u5f0f\u91cd\u65b0\u8bad\u7ec3\uff0c\u9002\u5e94\u6210\u672c\u9ad8\u3002\u591a\u6a21\u6001\u5927\u6a21\u578b\uff08\u5982GPT-4V\u3001Claude 3\uff09\u5177\u5907\u5f3a\u5927\u7684\u89c6\u89c9\u7406\u89e3\u80fd\u529b\uff0c\u53ef\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\u76f4\u63a5\u7406\u89e3\u94bb\u5b54\u67f1\u72b6\u56fe\u5185\u5bb9\uff0c\u65e0\u9700\u9488\u5bf9\u7279\u5b9a\u683c\u5f0f\u8bad\u7ec3\u3002<\/span>\nTraditional OCR and specialized models require retraining for each new format, with high adaptation costs. Multimodal large models (GPT-4V, Claude 3) have powerful visual understanding capabilities and can directly comprehend borehole log content through natural language instructions without format-specific training.<\/span><\/p>\n\n<h4>\u6838\u5fc3\u6280\u672f\u65b9\u6cd5<\/span>Core Technical Methods<\/span><\/h4>\n\n<div class=\"method-flow\">\n\u56fe\u50cf\u589e\u5f3a\u9884\u5904\u7406<\/span>Image Enhancement<\/span><\/span>\n\u2192<\/span>\nPrompt\u5fae\u8c03\u8bed\u6599\u6784\u5efa<\/span>Prompt Fine-tuning Corpus<\/span><\/span>\n\u2192<\/span>\n\u591a\u6a21\u6001\u5927\u6a21\u578b\u8c03\u4f18<\/span>Multimodal LLM Tuning<\/span><\/span>\n\u2192<\/span>\n\u6570\u636e\u6e05\u6d17<\/span>Data Cleaning<\/span><\/span>\n\u2192<\/span>\n\u7ed3\u6784\u5316\u8f93\u51fa<\/span>Structured Output<\/span><\/span>\n<\/div>\n\n<ol class=\"step-list\">\n<li>\u56fe\u50cf\u589e\u5f3a\u9884\u5904\u7406<\/span>Image Enhancement Preprocessing<\/span><\/strong><br\/>\n\u5bf9\u626b\u63cf\u56fe\u50cf\u8fdb\u884c\u53bb\u566a\u3001\u5bf9\u6bd4\u5ea6\u589e\u5f3a\u3001\u51e0\u4f55\u6821\u6b63\u3001\u5206\u8fa8\u7387\u7edf\u4e00\u7b49\u9884\u5904\u7406\uff0c\u63d0\u5347\u5927\u6a21\u578b\u7684\u8bc6\u522b\u6548\u679c\u3002\u5bf9\u9000\u5316\u4e25\u91cd\u7684\u5386\u53f2\u6863\u6848\uff0c\u91c7\u7528\u8d85\u5206\u8fa8\u7387\u91cd\u5efa\u6280\u672f\u6062\u590d\u7ec6\u8282\u3002<\/span>\nApplies denoising, contrast enhancement, geometric correction, resolution normalization to scanned images to improve large model recognition. For severely degraded historical archives, uses super-resolution reconstruction to restore details.<\/span><\/li>\n\n<li>\u6784\u5efaPrompt\u5fae\u8c03\u8bed\u6599<\/span>Build Prompt Fine-tuning Corpus<\/span><\/strong><br\/>\n\u8bbe\u8ba1\u9488\u5bf9\u94bb\u5b54\u67f1\u72b6\u56fe\u7684\u4e13\u4e1aPrompt\u6a21\u677f\uff0c\u5305\u62ec\uff1a<\/span>\nDesigns specialized prompt templates for borehole logs, including:<\/span>\n <ul>\n <li>\u89d2\u8272\u8bbe\u5b9a\uff1a”\u4f60\u662f\u4e00\u4f4d\u8d44\u6df1\u5730\u8d28\u5de5\u7a0b\u5e08…”<\/span>\n Role setting: “You are a senior geological engineer…”<\/span><\/li>\n <li>\u8f93\u51fa\u683c\u5f0f\u6307\u4ee4\uff1a\u8981\u6c42\u6309JSON\/XML\u683c\u5f0f\u8f93\u51fa<\/span>\n Output format instruction: require JSON\/XML output<\/span><\/li>\n <li>\u5b57\u6bb5\u8bf4\u660e\uff1a\u660e\u786e\u5404\u5b57\u6bb5\u7684\u53d6\u503c\u8303\u56f4\u548c\u5355\u4f4d<\/span>\n Field descriptions: clarify value ranges and units for each field<\/span><\/li>\n <li>\u793a\u4f8b\u5b66\u4e60(Few-shot)\uff1a\u63d0\u4f9b\u6807\u51c6\u8f93\u5165-\u8f93\u51fa\u793a\u4f8b<\/span>\n Few-shot learning: provide standard input-output examples<\/span><\/li>\n <\/ul>\n<\/li>\n\n<li>\u591a\u6a21\u6001\u5927\u6a21\u578b\u53c2\u6570\u8c03\u4f18<\/span>Multimodal LLM Parameter Tuning<\/span><\/strong><br\/>\n\u901a\u8fc7LoRA\u3001Prompt Tuning\u7b49\u8f7b\u91cf\u5fae\u8c03\u6280\u672f\uff0c\u5728\u5c11\u91cf\u6807\u6ce8\u6837\u672c\u4e0a\u8c03\u6574\u5927\u6a21\u578b\u53c2\u6570\uff0c\u4f7f\u5176\u66f4\u9002\u914d\u94bb\u5b54\u67f1\u72b6\u56fe\u9886\u57df\u3002\u6216\u91c7\u7528RAG\uff08\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff09\u65b9\u5f0f\uff0c\u5c06\u9886\u57df\u77e5\u8bc6\u5e93\u63a5\u5165\u63a8\u7406\u6d41\u7a0b\u3002<\/span>\nUses lightweight fine-tuning techniques (LoRA, Prompt Tuning) on small labeled datasets to adapt large models to the borehole log domain. Alternatively, uses RAG (Retrieval-Augmented Generation) to integrate domain knowledge bases into the inference pipeline.<\/span><\/li>\n\n<li>\u6570\u636e\u6e05\u6d17\u8f93\u51fa\u7ed3\u6784\u5316\u7ed3\u679c<\/span>Data Cleaning & Structured Output<\/span><\/strong><br\/>\n\u5927\u6a21\u578b\u8f93\u51fa\u53ef\u80fd\u5b58\u5728\u5e7b\u89c9(hallucination)\u548c\u683c\u5f0f\u4e0d\u4e00\u81f4\u95ee\u9898\u3002\u8bbe\u8ba1\u540e\u5904\u7406\u6a21\u5757\uff1a\u2460 schema\u6821\u9a8c\u786e\u4fdd\u8f93\u51fa\u683c\u5f0f\u6b63\u786e\uff1b\u2461 \u89c4\u5219\u5f15\u64ce\u6821\u9a8c\u5730\u8d28\u903b\u8f91\uff08\u6df1\u5ea6\u9012\u589e\u3001\u539a\u5ea6\u4e3a\u6b63\uff09\uff1b\u2462 \u7f6e\u4fe1\u5ea6\u8fc7\u6ee4\u5254\u9664\u4f4e\u7f6e\u4fe1\u5ea6\u7ed3\u679c\u3002<\/span>\nLarge model outputs may contain hallucinations and format inconsistencies. A post-processing module is designed: \u2460 schema validation ensures correct output format; \u2461 rule engine validates geological logic (depth monotonicity, positive thickness); \u2462 confidence filtering removes low-confidence results.<\/span><\/li>\n<\/ol>\n\n<h4>\u6280\u672f\u4f18\u52bf\u4e0e\u5c40\u9650<\/span>Advantages & Limitations<\/span><\/h4>\n<div class=\"tip-box\">\n\u4f18\u52bf\uff1a<\/span>Advantages:<\/span><\/strong><br\/>\n– \u96f6\u6837\u672c\/\u5c11\u6837\u672c\u5373\u53ef\u9002\u914d\u65b0\u683c\u5f0f\uff0c\u65e0\u9700\u91cd\u65b0\u8bad\u7ec3<br\/>– \u7406\u89e3\u80fd\u529b\u5f3a\uff0c\u53ef\u5904\u7406\u590d\u6742\u5e03\u5c40\u548c\u9000\u5316\u56fe\u50cf<br\/>– \u81ea\u7136\u8bed\u8a00\u4ea4\u4e92\u964d\u4f4e\u4f7f\u7528\u95e8\u69db<\/span>\n– Zero\/few-shot adaptation to new formats without retraining<br\/>– Strong comprehension, handles complex layouts and degraded images<br\/>– Natural language interaction lowers usage barrier<\/span>\n<\/div>\n<div class=\"tip-box warn\">\n\u5c40\u9650\uff1a<\/span>Limitations:<\/span><\/strong><br\/>\n– \u5927\u6a21\u578b\u63a8\u7406\u6210\u672c\u9ad8\uff0c\u4e0d\u9002\u5408\u5927\u89c4\u6a21\u6279\u91cf\u5904\u7406<br\/>– \u5b58\u5728\u5e7b\u89c9\u98ce\u9669\uff0c\u5fc5\u987b\u6709\u540e\u5904\u7406\u6821\u9a8c<br\/>– \u4f9d\u8d56\u5916\u90e8API\u6216\u672c\u5730GPU\u7b97\u529b<\/span>\n– High inference cost, unsuitable for large-scale batch processing<br\/>– Hallucination risk requires post-processing validation<br\/>– Depends on external APIs or local GPU resources<\/span>\n<\/div>\n<\/div>\n\n<\/section>\n\n<section class=\"section\" id=\"comparison\">\n\n<div class=\"section-icon\">\u2696\ufe0f<\/div>\n<h2>\u6280\u672f\u8def\u7ebf\u5bf9\u6bd4<\/span>Technical Route Comparison<\/span><\/h2>\n\n<h3>\u4e13\u5229\u65b9\u6cd5\u7279\u5f81\u5bf9\u6bd4<\/span>Patent Method Characteristics Comparison<\/span><\/h3>\n\n<div class=\"table-wrap\">\n<table>\n<thead>\n<tr>\n<th>\u4e13\u5229<\/span>Patent<\/span><\/th>\n<th>\u8f93\u5165\u7c7b\u578b<\/span>Input Type<\/span><\/th>\n<th>\u6838\u5fc3\u6280\u672f<\/span>Core Technology<\/span><\/th>\n<th>\u8f93\u51fa\u683c\u5f0f<\/span>Output Format<\/span><\/th>\n<th>\u9002\u7528\u573a\u666f<\/span>Applicable Scenario<\/span><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u7ed3\u6784\u6a21\u5f0f\u8bc6\u522b<\/span>Pattern Recognition<\/span><\/td>\n<td>\u626b\u63cf\u56fe\u7247<\/span>Scanned image<\/span><\/td>\n<td>\u51e0\u4f55\u56fe\u5143+\u6a21\u677f\u5339\u914d<\/span>Geometric primitive + Template<\/span><\/td>\n<td>\u7ed3\u6784\u5316\u8868\u683c<\/span>Structured table<\/span><\/td>\n<td>\u6807\u51c6\u5316\u7b26\u53f7\u7684\u5ca9\u6027\u67f1<\/span>Lithology columns with standardized symbols<\/span><\/td>\n<\/tr>\n<tr>\n<td>CAD\u5de5\u7a0b\u6587\u4ef6<\/span>CAD File Processing<\/span><\/td>\n<td>DWG\/DXF<\/span>DWG\/DXF<\/span><\/td>\n<td>\u77e2\u91cf\u56fe\u5143\u89e3\u6790+\u533a\u57df\u5212\u5206<\/span>Vector parsing + Zone segmentation<\/span><\/td>\n<td>\u7ed3\u6784\u5316\u8868\u683c+\u5f02\u5e38\u6807\u6ce8<\/span>Structured table + Anomaly marks<\/span><\/td>\n<td>\u73b0\u6709CAD\u56fe\u4ef6\u6570\u5b57\u5316<\/span>Digitizing existing CAD drawings<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u591a\u6e90\u6570\u636e\u878d\u5408<\/span>Multi-source Fusion<\/span><\/td>\n<td>\u591a\u683c\u5f0f\u7ed3\u6784\u5316\u6570\u636e<\/span>Multi-format structured data<\/span><\/td>\n<td>\u5b57\u6bb5\u6620\u5c04+\u6df1\u5ea6\u5bf9\u9f50+\u6821\u6838<\/span>Field mapping + Depth alignment + Verification<\/span><\/td>\n<td>\u878d\u5408\u6570\u636e\u5e93<\/span>Fused database<\/span><\/td>\n<td>\u591a\u6765\u6e90\u6570\u636e\u6574\u5408<\/span>Multi-source data integration<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u626b\u63cf\u56fe\u4ef6OCR<\/span>Scanned OCR<\/span><\/td>\n<td>\u626b\u63cf\u56fe\u7247<\/span>Scanned image<\/span><\/td>\n<td>\u4e13\u7528OCR+\u76ee\u6807\u68c0\u6d4b+\u7248\u9762\u5206\u6790<\/span>Specialized OCR + Object detection + Layout<\/span><\/td>\n<td>XML<\/span>XML<\/span><\/td>\n<td>\u5386\u53f2\u626b\u63cf\u6863\u6848\u6279\u91cf\u5904\u7406<\/span>Batch processing of historical scanned archives<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u591a\u6a21\u6001\u5927\u6a21\u578b<\/span>Multimodal LLM<\/span><\/td>\n<td>\u626b\u63cf\u56fe\u7247\/PDF<\/span>Scanned image \/ PDF<\/span><\/td>\n<td>\u89c6\u89c9\u5927\u6a21\u578b+Prompt\u5de5\u7a0b+RAG<\/span>Vision LLM + Prompt engineering + RAG<\/span><\/td>\n<td>JSON\/XML<\/span>JSON\/XML<\/span><\/td>\n<td>\u65b0\u683c\u5f0f\u5feb\u901f\u9002\u914d\/\u5c0f\u6279\u91cf<\/span>Rapid new format adaptation \/ Small batches<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n\n<h3>\u6280\u672f\u9009\u578b\u5efa\u8bae<\/span>Technology Selection Recommendations<\/span><\/h3>\n\n<div class=\"tip-box\">\n\u573a\u666f\u4e00\uff1a\u5927\u91cf\u5386\u53f2\u626b\u63cf\u6863\u6848\u6570\u5b57\u5316<\/span>Scenario 1: Large-scale Historical Scanned Archive Digitization<\/span><\/strong><br\/>\n\u63a8\u8350\uff1a\u626b\u63cf\u56fe\u4ef6OCR\u6cd5\uff08\u7b2c\u56db\u4ee3\uff09\u4e3a\u4e3b\uff0c\u591a\u6a21\u6001\u5927\u6a21\u578b\u6cd5\uff08\u7b2c\u4e94\u4ee3\uff09\u5904\u7406\u590d\u6742\/\u9000\u5316\u6837\u672c\u3002<\/span>\nRecommendation: Scanned OCR method (4th gen) as primary, multimodal LLM (5th gen) for complex\/degraded samples.<\/span>\n<\/div>\n\n<div class=\"tip-box\">\n\u573a\u666f\u4e8c\uff1a\u73b0\u6709CAD\u56fe\u4ef6\u6570\u636e\u63d0\u53d6<\/span>Scenario 2: Existing CAD Drawing Data Extraction<\/span><\/strong><br\/>\n\u63a8\u8350\uff1aCAD\u5de5\u7a0b\u6587\u4ef6\u6cd5\uff08\u7b2c\u4e8c\u4ee3\uff09\uff0c\u7cbe\u5ea6\u6700\u9ad8\u3001\u6210\u672c\u6700\u4f4e\u3002<\/span>\nRecommendation: CAD file processing method (2nd gen), highest precision and lowest cost.<\/span>\n<\/div>\n\n<div class=\"tip-box\">\n\u573a\u666f\u4e09\uff1a\u591a\u6765\u6e90\u5f02\u6784\u6570\u636e\u6574\u5408<\/span>Scenario 3: Multi-source Heterogeneous Data Integration<\/span><\/strong><br\/>\n\u63a8\u8350\uff1a\u591a\u6e90\u6570\u636e\u878d\u5408\u6cd5\uff08\u7b2c\u4e09\u4ee3\uff09\uff0c\u89e3\u51b3\u6df1\u5ea6\u5bf9\u9f50\u548c\u6570\u636e\u8d28\u91cf\u74f6\u9888\u3002<\/span>\nRecommendation: Multi-source fusion method (3rd gen), solves depth alignment and data quality bottlenecks.<\/span>\n<\/div>\n\n<div class=\"tip-box\">\n\u573a\u666f\u56db\uff1a\u65b0\u683c\u5f0f\u5feb\u901f\u9002\u914d\uff08\u6837\u672c\u5c11\uff09<\/span>Scenario 4: Rapid New Format Adaptation (Few Samples)<\/span><\/strong><br\/>\n\u63a8\u8350\uff1a\u591a\u6a21\u6001\u5927\u6a21\u578b\u6cd5\uff08\u7b2c\u4e94\u4ee3\uff09\uff0c\u96f6\u6837\u672c\/\u5c11\u6837\u672c\u5373\u53ef\u542f\u52a8\u3002<\/span>\nRecommendation: Multimodal LLM method (5th gen), can start with zero\/few shots.<\/span>\n<\/div>\n\n<h3>\u6280\u672f\u878d\u5408\u8d8b\u52bf<\/span>Technology Convergence Trends<\/span><\/h3>\n\n\u5b9e\u9645\u5de5\u7a0b\u4e2d\uff0c\u5355\u4e00\u6280\u672f\u5f80\u5f80\u96be\u4ee5\u5e94\u5bf9\u590d\u6742\u573a\u666f\u3002\u672a\u6765\u7684\u6280\u672f\u8def\u7ebf\u5c06\u662f\u591a\u4ee3\u6280\u672f\u7684\u878d\u5408\uff1a<\/span>\nIn practice, single technologies often struggle with complex scenarios. Future routes will be a fusion of multiple generations:<\/span><\/p>\n\n<ol>\n<li>OCR+\u5927\u6a21\u578b\u6df7\u5408\u67b6\u6784<\/span>OCR + LLM Hybrid Architecture<\/span><\/strong><br\/>\n\u5e38\u89c4\u9875\u9762\u7528\u7b2c\u56db\u4ee3OCR\u6279\u91cf\u5904\u7406\uff0c\u590d\u6742\/\u7591\u96be\u9875\u9762\u7528\u7b2c\u4e94\u4ee3\u5927\u6a21\u578b\u515c\u5e95\u3002<\/span>\nRoutine pages processed by 4th-gen OCR in batches, complex\/difficult pages handled by 5th-gen LLM as fallback.<\/span><\/li>\n<li>CAD\u89e3\u6790+\u6570\u636e\u5e93\u878d\u5408<\/span>CAD Parsing + Database Fusion<\/span><\/strong><br\/>\n\u7b2c\u4e8c\u4ee3CAD\u63d0\u53d6\u7684\u6570\u636e\uff0c\u7ecf\u7b2c\u4e09\u4ee3\u591a\u6e90\u878d\u5408\u6d41\u7a0b\u4e0e\u6d4b\u4e95\u3001\u8bd5\u9a8c\u6570\u636e\u6574\u5408\u3002<\/span>\nData extracted by 2nd-gen CAD parsing is integrated with log and test data through 3rd-gen multi-source fusion workflows.<\/span><\/li>\n<li>\u7b26\u53f7\u8bc6\u522b+\u7248\u9762\u7406\u89e3\u8054\u5408\u63a8\u7406<\/span>Symbol Recognition + Layout Understanding Joint Inference<\/span><\/strong><br\/>\n\u7b2c\u4e00\u4ee3\u7684\u7b26\u53f7\u8bc6\u522b\u4e0e\u7b2c\u56db\u4ee3\u7684\u7248\u9762\u5206\u6790\u76f8\u7ed3\u5408\uff0c\u5b9e\u73b0\u7b26\u53f7-\u6587\u5b57-\u5e03\u5c40\u7684\u8054\u5408\u7406\u89e3\u3002<\/span>\n1st-gen symbol recognition combined with 4th-gen layout analysis enables joint understanding of symbols, text, and layout.<\/span><\/li>\n<\/ol>\n\n<\/section>\n\n<div class=\"footnotes\">\n \u94bb\u5b54\u67f1\u72b6\u56fe\u4e13\u5229\u65b9\u6cd5\u8be6\u89e3 | \u57fa\u4e8e\u516c\u5f00\u4e13\u5229\u6587\u732e\u6574\u7406<\/span>Borehole Log Patent Analysis | Compiled from public patent literature<\/span><\/p>\n<\/div>\n\n<\/div>\n\n\n<script>\nfunction switchLanguage(lang) {\n document.documentElement.lang = lang;\n document.body.className = (lang === 'en') ? 'en-active' : '';\n \n var btnZh = document.getElementById('btn-zh');\n var btnEn = document.getElementById('btn-en');\n \n if (lang === 'zh') {\n btnZh.classList.add('active');\n btnEn.classList.remove('active');\n } else {\n btnEn.classList.add('active');\n btnZh.classList.remove('active');\n }\n}\n\ndocument.addEventListener('DOMContentLoaded', function() {\n switchLanguage('zh');\n});\n\ndocument.querySelectorAll('a[href^=\"#\"]').forEach(function(anchor) {\n anchor.addEventListener('click', function(e) {\n e.preventDefault();\n var target = document.querySelector(this.getAttribute('href'));\n if (target) {\n target.scrollIntoView({ behavior: 'smooth', block: 'start' });\n }\n });\n});\n<\/script>\n\n<style media=\"print\">\n .lang-bar { display: none !important; }\n section { page-break-inside: avoid; }\n<\/style>\n\n<\/body>\n<\/html>\n\n","protected":false},"excerpt":{"rendered":"\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u4e13\u5229\u89e3\u6790Analysis of Borehole Log Digitization Paten […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,9],"tags":[],"class_list":["post-292","post","type-post","status-publish","format-standard","hentry","category-cad","category-ai"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/posts\/292","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/numsimlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=292"}],"version-history":[{"count":1,"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/posts\/292\/revisions"}],"predecessor-version":[{"id":293,"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/posts\/292\/revisions\/293"}],"wp:attachment":[{"href":"https:\/\/numsimlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=292"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/numsimlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=292"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/numsimlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=292"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":292,"date":"2026-07-02T16:19:12","date_gmt":"2026-07-02T08:19:12","guid":{"rendered":"https:\/\/numsimlab.com\/?p=292"},"modified":"2026-07-02T16:19:23","modified_gmt":"2026-07-02T08:19:23","slug":"%e9%92%bb%e5%ad%94%e6%9f%b1%e7%8a%b6%e5%9b%be%e6%95%b0%e5%ad%97%e5%8c%96%e4%b8%93%e5%88%a9%e8%a7%a3%e6%9e%90","status":"publish","type":"post","link":"https:\/\/numsimlab.com\/?p=292","title":{"rendered":"\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u4e13\u5229\u89e3\u6790"},"content":{"rendered":"\n\n\n\n\n\n\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u4e13\u5229\u89e3\u6790<\/span>Analysis of Borehole Log Digitization Patents<\/span><\/title>\n<style>\n:root {\n --bg: #f5faf7;\n --bg2: #eef6f1;\n --ink: #1a2e23;\n --muted: #5a7a6e;\n --rule: #c0d8cc;\n --accent: #059669;\n --accent2: #0d9488;\n --code-bg: #1e2d26;\n --code-fg: #d1fae5;\n}\n\n* { box-sizing: border-box; margin: 0; padding: 0; }\n\nhtml { scroll-behavior: smooth; }\n\nbody {\n font-family: \"Microsoft YaHei\", 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align-items: center;\n flex-wrap: wrap;\n gap: 0.5rem;\n margin: 1rem 0;\n padding: 1rem;\n background: var(--bg);\n border-radius: 6px;\n}\n\n.method-step {\n background: #fff;\n border: 1px solid var(--rule);\n padding: 0.4rem 0.8rem;\n border-radius: 4px;\n font-size: 0.9rem;\n font-weight: 600;\n}\n\n.method-arrow {\n color: var(--accent);\n font-weight: bold;\n}\n\n\/* Tech tags *\/\n.tech-tag {\n display: inline-block;\n background: #d1fae5;\n color: #065f46;\n padding: 0.2em 0.6em;\n border-radius: 4px;\n font-size: 0.8rem;\n font-weight: 600;\n margin-right: 0.4rem;\n margin-bottom: 0.3rem;\n}\n\n\/* Step list *\/\n.step-list {\n list-style: none;\n padding-left: 0;\n counter-reset: step-counter;\n}\n\n.step-list > li {\n counter-increment: step-counter;\n padding-left: 2.5rem;\n position: relative;\n margin: 1rem 0;\n}\n\n.step-list > li::before {\n content: counter(step-counter);\n position: absolute;\n left: 0;\n top: 0;\n width: 1.8rem;\n height: 1.8rem;\n background: var(--accent);\n color: #fff;\n border-radius: 50%;\n display: flex;\n align-items: center;\n justify-content: center;\n font-size: 0.85rem;\n font-weight: 700;\n}\n\n\/* Responsive *\/\n@media (max-width: 768px) {\n .cover h1 { font-size: 1.5rem; }\n .cover .subtitle { font-size: 1.05rem; }\n section { padding: 1.2rem 1rem; }\n section h2 { font-size: 1.3rem; }\n table { font-size: 0.85rem; }\n th, td { padding: 0.5rem; }\n .method-flow { flex-direction: column; align-items: flex-start; }\n}\n\n\/* Language display control *\/\n[data-lang=\"en\"] { display: none; }\nhtml[lang=\"en\"] [data-lang=\"zh\"] { display: none; }\nhtml[lang=\"en\"] [data-lang=\"en\"] { display: inline; }\n\nh2 [data-lang=\"en\"], h3 [data-lang=\"en\"], h4 [data-lang=\"en\"], p [data-lang=\"en\"], li [data-lang=\"en\"], th [data-lang=\"en\"], td [data-lang=\"en\"], div [data-lang=\"en\"], strong [data-lang=\"en\"] {\n display: none;\n}\n\nhtml[lang=\"en\"] h2 [data-lang=\"zh\"], html[lang=\"en\"] h3 [data-lang=\"zh\"], html[lang=\"en\"] h4 [data-lang=\"zh\"], html[lang=\"en\"] p [data-lang=\"zh\"], html[lang=\"en\"] li [data-lang=\"zh\"], html[lang=\"en\"] th [data-lang=\"zh\"], html[lang=\"en\"] td [data-lang=\"zh\"], html[lang=\"en\"] div [data-lang=\"zh\"], html[lang=\"en\"] strong [data-lang=\"zh\"] {\n display: none;\n}\n\nhtml[lang=\"en\"] h2 [data-lang=\"en\"], html[lang=\"en\"] h3 [data-lang=\"en\"], html[lang=\"en\"] h4 [data-lang=\"en\"], html[lang=\"en\"] p [data-lang=\"en\"], html[lang=\"en\"] li [data-lang=\"en\"], html[lang=\"en\"] th [data-lang=\"en\"], html[lang=\"en\"] td [data-lang=\"en\"], html[lang=\"en\"] div [data-lang=\"en\"], html[lang=\"en\"] strong [data-lang=\"en\"] {\n display: inline;\n}\n\n.toc h2 span, .cover h1 span, .cover .subtitle span, .cover .desc span, section h2 span, section h3 span, section h4 span {\n display: inline;\n}\n\nhtml[lang=\"en\"] .toc h2 [data-lang=\"zh\"], html[lang=\"en\"] .cover h1 [data-lang=\"zh\"], html[lang=\"en\"] .cover .subtitle [data-lang=\"zh\"], html[lang=\"en\"] .cover .desc [data-lang=\"zh\"], html[lang=\"en\"] section h2 [data-lang=\"zh\"], html[lang=\"en\"] section h3 [data-lang=\"zh\"], html[lang=\"en\"] section h4 [data-lang=\"zh\"] {\n display: none;\n}\n\nhtml[lang=\"en\"] .toc h2 [data-lang=\"en\"], html[lang=\"en\"] .cover h1 [data-lang=\"en\"], html[lang=\"en\"] .cover .subtitle [data-lang=\"en\"], html[lang=\"en\"] .cover .desc [data-lang=\"en\"], html[lang=\"en\"] section h2 [data-lang=\"en\"], html[lang=\"en\"] section h3 [data-lang=\"en\"], html[lang=\"en\"] section h4 [data-lang=\"en\"] {\n display: inline;\n}\n<\/style>\n<\/head>\n<body>\n\n\n<div class=\"lang-bar\">\n <button id=\"btn-zh\" class=\"active\" onclick=\"switchLanguage('zh')\">\n \u4e2d\u6587<\/span>Chinese<\/span>\n <\/button>\n <button id=\"btn-en\" onclick=\"switchLanguage('en')\">\n English<\/span>English<\/span>\n <\/button>\n<\/div>\n\n<div class=\"container\">\n\n\n<div class=\"cover\">\n <h1>\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u4e13\u5229\u89e3\u6790<\/span>Analysis of Borehole Log Digitization Patents<\/span><\/h1>\n <div class=\"subtitle\">Patent Technology Analysis<\/div>\n <div class=\"desc\">\u6df1\u5165\u89e3\u6790\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u9886\u57df\u7684\u4e2d\u56fd\u53d1\u660e\u4e13\u5229\uff0c\u68b3\u7406\u5404\u4e13\u5229\u7684\u6280\u672f\u8def\u7ebf\u3001\u6838\u5fc3\u65b9\u6cd5\u4e0e\u5de5\u7a0b\u4ef7\u503c\u3002<\/span>In-depth analysis of Chinese invention patents in borehole log digitization, covering technical routes, core methods, and engineering value.<\/span><\/div>\n<\/div>\n\n\n<nav class=\"toc\">\n <h2>\u76ee\u5f55<\/span>Table of Contents<\/span><\/h2>\n <ol>\n <li><a href=\"#overview\">\u4e13\u5229\u683c\u5c40\u6982\u8ff0<\/span>Patent Landscape Overview<\/span><\/a><\/li>\n <li><a href=\"#pattern\">\u7ed3\u6784\u6a21\u5f0f\u8bc6\u522b\u6cd5<\/span>Structural Pattern Recognition<\/span><\/a><\/li>\n <li><a href=\"#cad\">CAD\u5de5\u7a0b\u6587\u4ef6\u5904\u7406\u6cd5<\/span>CAD Engineering File Processing<\/span><\/a><\/li>\n <li><a href=\"#multisource\">\u591a\u6e90\u6570\u636e\u878d\u5408\u6cd5<\/span>Multi-source Data Fusion<\/span><\/a><\/li>\n <li><a href=\"#ocr\">\u626b\u63cf\u56fe\u4ef6OCR\u6cd5<\/span>Scanned Image OCR<\/span><\/a><\/li>\n <li><a href=\"#llm\">\u591a\u6a21\u6001\u5927\u6a21\u578b\u6cd5<\/span>Multimodal LLM Method<\/span><\/a><\/li>\n <li><a href=\"#comparison\">\u6280\u672f\u8def\u7ebf\u5bf9\u6bd4<\/span>Technical Route Comparison<\/span><\/a><\/li>\n <\/ol>\n<\/nav>\n\n<section class=\"section\" id=\"overview\">\n\n<div class=\"section-icon\">\ud83d\udcd6<\/div>\n<h2>\u4e13\u5229\u683c\u5c40\u6982\u8ff0<\/span>Patent Landscape Overview<\/span><\/h2>\n\n\u4e2d\u56fd\u5728\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u9886\u57df\u5df2\u5f62\u6210\u8f83\u4e3a\u5b8c\u6574\u7684\u6280\u672f\u4e13\u5229\u5e03\u5c40\uff0c\u8986\u76d6\u4ece\u4f20\u7edf\u56fe\u50cf\u8bc6\u522b\u5230\u524d\u6cbf\u5927\u6a21\u578b\u6280\u672f\u7684\u591a\u6761\u8def\u7ebf\u3002\u6309\u6280\u672f\u4ee3\u9645\u53ef\u5206\u4e3a\uff1a<\/span>\nChina has formed a relatively complete patent layout in borehole log digitization, covering multiple routes from traditional image recognition to cutting-edge large model technologies. By generation:<\/span><\/p>\n\n<div class=\"table-wrap\">\n<table>\n<thead>\n<tr>\n<th>\u4ee3\u9645<\/span>Generation<\/span><\/th>\n<th>\u6838\u5fc3\u6280\u672f<\/span>Core Technology<\/span><\/th>\n<th>\u4ee3\u8868\u4e13\u5229<\/span>Representative Patents<\/span><\/th>\n<th>\u7279\u70b9<\/span>Characteristics<\/span><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u7b2c\u4e00\u4ee3<\/span>1st Gen<\/span><\/td>\n<td>\u51e0\u4f55\u56fe\u5143\u8bc6\u522b+\u6a21\u677f\u5339\u914d<\/span>Geometric primitive + Template matching<\/span><\/td>\n<td>\u7ed3\u6784\u6a21\u5f0f\u8bc6\u522b\u6cd5<\/span>Structural pattern recognition<\/span><\/td>\n<td>\u57fa\u4e8e\u5ca9\u6027\u7b26\u53f7\u5f62\u72b6\u7279\u5f81<\/span>Based on lithology symbol shape features<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u7b2c\u4e8c\u4ee3<\/span>2nd Gen<\/span><\/td>\n<td>CAD\u89e3\u6790+\u533a\u57df\u5212\u5206<\/span>CAD parsing + Zone segmentation<\/span><\/td>\n<td>CAD\u5de5\u7a0b\u6587\u4ef6\u5904\u7406\u6cd5<\/span>CAD engineering file processing<\/span><\/td>\n<td>\u76f4\u63a5\u89e3\u6790\u77e2\u91cf\u56fe\u5143<\/span>Direct vector primitive parsing<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u7b2c\u4e09\u4ee3<\/span>3rd Gen<\/span><\/td>\n<td>\u5b57\u6bb5\u6620\u5c04+\u6570\u636e\u5e93\u5173\u8054+\u6821\u6838<\/span>Field mapping + DB association + Verification<\/span><\/td>\n<td>\u591a\u6e90\u6570\u636e\u878d\u5408\u6cd5<\/span>Multi-source data fusion<\/span><\/td>\n<td>\u5f3a\u8c03\u6570\u636e\u8d28\u91cf\u63a7\u5236<\/span>Emphasizes data quality control<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u7b2c\u56db\u4ee3<\/span>4th Gen<\/span><\/td>\n<td>OCR+\u6df1\u5ea6\u5b66\u4e60+\u6279\u91cf\u8bad\u7ec3<\/span>OCR + Deep learning + Batch training<\/span><\/td>\n<td>\u626b\u63cf\u56fe\u4ef6\u5168\u8981\u7d20\u8bc6\u522b\u6cd5<\/span>Scanned image full-element recognition<\/span><\/td>\n<td>\u7aef\u5230\u7aef\u81ea\u52a8\u5316\u63d0\u53d6<\/span>End-to-end automated extraction<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u7b2c\u4e94\u4ee3<\/span>5th Gen<\/span><\/td>\n<td>\u591a\u6a21\u6001\u5927\u6a21\u578b+Prompt\u5de5\u7a0b<\/span>Multimodal LLM + Prompt engineering<\/span><\/td>\n<td>\u591a\u6a21\u6001\u5927\u6a21\u578b\u8bc6\u522b\u6cd5<\/span>Multimodal LLM recognition<\/span><\/td>\n<td>\u6cdb\u5316\u80fd\u529b\u5f3a\u3001\u65e0\u9700\u5927\u91cf\u6807\u6ce8<\/span>Strong generalization, minimal labeling<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n\n<\/section>\n\n<section class=\"section\" id=\"pattern\">\n\n<div class=\"section-icon\">\ud83d\udd0d<\/div>\n<h2>\u57fa\u4e8e\u7ed3\u6784\u6a21\u5f0f\u8bc6\u522b\u7684\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u65b9\u6cd5<\/span>Structural Pattern Recognition Based Digitization<\/span><\/h2>\n\n<div class=\"patent-card\">\n<div class=\"patent-title\">\u57fa\u4e8e\u7ed3\u6784\u6a21\u5f0f\u8bc6\u522b\u7684\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u65b9\u6cd5<\/span>Borehole Log Digitization Based on Structural Pattern Recognition<\/span><\/div>\n<div class=\"patent-meta\">\n\u7533\u8bf7\u5355\u4f4d\uff1a\u4e2d\u7164\u79d1\u5de5\u897f\u5b89\u7814\u7a76\u9662 | \u6280\u672f\u4ee3\u9645\uff1a\u7b2c\u4e00\u4ee3<\/span>\nApplicant: CCTEG Xi’an Research Institute | Generation: 1st<\/span>\n<\/div>\n\n<h4>\u6280\u672f\u80cc\u666f<\/span>Technical Background<\/span><\/h4>\n\u94bb\u5b54\u67f1\u72b6\u56fe\u4e2d\u7684\u5ca9\u6027\u7b26\u53f7\u5177\u6709\u56fa\u5b9a\u51e0\u4f55\u5f62\u72b6\uff08\u5982\u5706\u5f62\u3001\u4e09\u89d2\u5f62\u3001\u6761\u7eb9\u7b49\uff09\uff0c\u4f20\u7edfOCR\u65b9\u6cd5\u65e0\u6cd5\u8bc6\u522b\u8fd9\u4e9b\u975e\u6587\u5b57\u7b26\u53f7\u3002\u672c\u4e13\u5229\u9488\u5bf9\u5ca9\u6027\u7b26\u53f7\u7684\u51e0\u4f55\u7279\u5f81\uff0c\u63d0\u51fa\u57fa\u4e8e\u7ed3\u6784\u6a21\u5f0f\u8bc6\u522b\u7684\u6570\u5b57\u5316\u65b9\u6848\u3002<\/span>\nLithology symbols in borehole logs have fixed geometric shapes (circles, triangles, stripes, etc.) that traditional OCR cannot recognize. This patent targets the geometric features of lithology symbols with a structural pattern recognition approach.<\/span><\/p>\n\n<h4>\u6838\u5fc3\u6280\u672f\u65b9\u6cd5<\/span>Core Technical Methods<\/span><\/h4>\n\n<div class=\"method-flow\">\n\u56fe\u50cf\u9884\u5904\u7406<\/span>Preprocessing<\/span><\/span>\n\u2192<\/span>\n\u7b26\u53f7\u68c0\u6d4b<\/span>Symbol Detection<\/span><\/span>\n\u2192<\/span>\n\u8fb9\u754c\u5206\u5272<\/span>Boundary Segmentation<\/span><\/span>\n\u2192<\/span>\n\u51e0\u4f55\u7279\u5f81\u63d0\u53d6<\/span>Feature Extraction<\/span><\/span>\n\u2192<\/span>\n\u6a21\u677f\u5339\u914d<\/span>Template Matching<\/span><\/span>\n\u2192<\/span>\n\u5ca9\u6027\u5b9a\u540d<\/span>Lithology Naming<\/span><\/span>\n<\/div>\n\n<ol>\n<li>\u5ca9\u6027\u7b26\u53f7\u51e0\u4f55\u56fe\u5143\u8bc6\u522b<\/span>Lithology Symbol Geometric Primitive Recognition<\/span><\/strong><br\/>\n\u901a\u8fc7\u8fb9\u7f18\u68c0\u6d4b\u548c\u8f6e\u5ed3\u63d0\u53d6\u7b97\u6cd5\uff0c\u8bc6\u522b\u67f1\u72b6\u56fe\u4e2d\u7684\u5ca9\u6027\u7b26\u53f7\u533a\u57df\u3002\u5c06\u7b26\u53f7\u5206\u89e3\u4e3a\u57fa\u672c\u51e0\u4f55\u56fe\u5143\uff08\u7ebf\u6bb5\u3001\u5706\u5f27\u3001\u95ed\u5408\u533a\u57df\u7b49\uff09\uff0c\u6784\u5efa\u7b26\u53f7\u7684\u51e0\u4f55\u7279\u5f81\u5411\u91cf\u3002<\/span>\nIdentifies lithology symbol regions via edge detection and contour extraction. Decomposes symbols into basic geometric primitives (line segments, arcs, closed regions) to build geometric feature vectors.<\/span><\/li>\n\n<li>\u6309\u7b26\u53f7\u8fb9\u754c\u5206\u5272\u5730\u5c42\u6bb5<\/span>Stratigraphic Interval Segmentation by Symbol Boundaries<\/span><\/strong><br\/>\n\u76f8\u90bb\u5ca9\u6027\u7b26\u53f7\u4e4b\u95f4\u7684\u8fb9\u754c\u5373\u4e3a\u5730\u5c42\u5206\u5c42\u754c\u9762\u3002\u901a\u8fc7\u7b26\u53f7\u4f4d\u7f6e\u81ea\u52a8\u8ba1\u7b97\u6bcf\u4e2a\u5730\u5c42\u6bb5\u7684\u9876\u5e95\u6df1\u5ea6\u3002<\/span>\nBoundaries between adjacent lithology symbols serve as stratigraphic layer interfaces. Automatically calculates top\/bottom depths for each interval from symbol positions.<\/span><\/li>\n\n<li>\u7b26\u53f7-\u6a21\u677f\u5339\u914d<\/span>Symbol-Template Matching<\/span><\/strong><br\/>\n\u5efa\u7acb\u6807\u51c6\u5ca9\u6027\u7b26\u53f7\u6a21\u677f\u5e93\uff0c\u5c06\u63d0\u53d6\u7684\u7b26\u53f7\u7279\u5f81\u5411\u91cf\u4e0e\u6a21\u677f\u5e93\u8fdb\u884c\u76f8\u4f3c\u5ea6\u8ba1\u7b97\uff08\u5982Hu\u77e9\u3001\u5f62\u72b6\u4e0a\u4e0b\u6587\u7b49\uff09\uff0c\u786e\u5b9a\u5ca9\u6027\u540d\u79f0\u3002<\/span>\nEstablishes a standard lithology symbol template library. Computes similarity (Hu moments, shape context, etc.) between extracted symbol feature vectors and templates to determine lithology names.<\/span><\/li>\n<\/ol>\n\n<h4>\u6280\u672f\u4f18\u52bf\u4e0e\u5c40\u9650<\/span>Advantages & Limitations<\/span><\/h4>\n<div class=\"tip-box\">\n\u4f18\u52bf\uff1a<\/span>Advantages:<\/span><\/strong><br\/>\n– \u4e0d\u4f9d\u8d56OCR\uff0c\u5bf9\u4f4e\u8d28\u91cf\u626b\u63cf\u4ef6\u9c81\u68d2\u6027\u9ad8<br\/>– \u7b26\u53f7\u8bc6\u522b\u51c6\u786e\u7387\u8f83\u9ad8\uff08\u6807\u51c6\u5316\u7b26\u53f7\uff09<\/span>\n– Independent of OCR, robust to low-quality scans<br\/>– High symbol recognition accuracy (standardized symbols)<\/span>\n<\/div>\n<div class=\"tip-box warn\">\n\u5c40\u9650\uff1a<\/span>Limitations:<\/span><\/strong><br\/>\n– \u4ec5\u9002\u7528\u4e8e\u6807\u51c6\u5316\u5ca9\u6027\u7b26\u53f7\uff0c\u5bf9\u975e\u6807\u51c6\u624b\u7ed8\u7b26\u53f7\u6548\u679c\u5dee<br\/>– \u65e0\u6cd5\u5904\u7406\u6587\u5b57\u63cf\u8ff0\u4fe1\u606f<\/span>\n– Only works for standardized lithology symbols; poor for non-standard hand-drawn symbols<br\/>– Cannot process text descriptions<\/span>\n<\/div>\n<\/div>\n\n<\/section>\n\n<section class=\"section\" id=\"cad\">\n\n<div class=\"section-icon\">\ud83d\udcd0<\/div>\n<h2>\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u636e\u7684\u5904\u7406\u65b9\u6cd5\uff08CAD\u5de5\u7a0b\u6587\u4ef6\u6cd5\uff09<\/span>Borehole Log Data Processing Method (CAD-based)<\/span><\/h2>\n\n<div class=\"patent-card\">\n<div class=\"patent-title\">\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u636e\u7684\u5904\u7406\u65b9\u6cd5<\/span>Borehole Log Data Processing Method<\/span><\/div>\n<div class=\"patent-meta\">\n\u7533\u8bf7\u5355\u4f4d\uff1a\u4e2d\u79d1\u9662\u5e7f\u5dde\u5730\u7403\u5316\u5b66\u7814\u7a76\u6240 | \u6280\u672f\u4ee3\u9645\uff1a\u7b2c\u4e8c\u4ee3<\/span>\nApplicant: GIGCAS | Generation: 2nd<\/span>\n<\/div>\n\n<h4>\u6280\u672f\u80cc\u666f<\/span>Technical Background<\/span><\/h4>\n\u56fd\u5185\u5730\u52d8\u884c\u4e1a\u5927\u91cf\u4f7f\u7528AutoCAD\u7ed8\u5236\u94bb\u5b54\u67f1\u72b6\u56fe\uff0c\u8fd9\u4e9bCAD\u6587\u4ef6\u4e2d\u5305\u542b\u77e2\u91cf\u5316\u7684\u51e0\u4f55\u56fe\u5143\u548c\u6587\u5b57\u5bf9\u8c61\uff0c\u53ef\u4ee5\u76f4\u63a5\u89e3\u6790\u83b7\u53d6\u7cbe\u786e\u6570\u636e\uff0c\u65e0\u9700\u7ecf\u8fc7OCR\u73af\u8282\u3002<\/span>\nChina’s geotechnical industry widely uses AutoCAD for borehole log drafting. These CAD files contain vectorized geometric primitives and text objects that can be directly parsed for accurate data without OCR.<\/span><\/p>\n\n<h4>\u6838\u5fc3\u6280\u672f\u65b9\u6cd5<\/span>Core Technical Methods<\/span><\/h4>\n\n<div class=\"method-flow\">\nCAD \u8bfb\u53d6<\/span>Read<\/span><\/span>\n\u2192<\/span>\n\u56fe\u9762\u626b\u63cf<\/span>Surface Scan<\/span><\/span>\n\u2192<\/span>\n\u533a\u57df\u5212\u5206<\/span>Zone Segmentation<\/span><\/span>\n\u2192<\/span>\n\u81ea\u52a8\u5efa\u8868<\/span>Auto Table Build<\/span><\/span>\n\u2192<\/span>\n\u8d28\u91cf\u68c0\u67e5<\/span>Quality Check<\/span><\/span>\n\u2192<\/span>\n\u5f02\u5e38\u5b9a\u4f4d<\/span>Anomaly Location<\/span><\/span>\n<\/div>\n\n<ol class=\"step-list\">\n<li>\u8bfb\u53d6CAD\u5de5\u7a0b\u6587\u4ef6<\/span>Read CAD Engineering File<\/span><\/strong><br\/>\n\u76f4\u63a5\u8bfb\u53d6DWG\/DXF\u683c\u5f0f\u6587\u4ef6\uff0c\u89e3\u6790\u5176\u4e2d\u6240\u6709\u51e0\u4f55\u56fe\u5143\uff08LINE\u3001TEXT\u3001MTEXT\u3001POLYLINE\u7b49\uff09\u548c\u5c5e\u6027\u4fe1\u606f\uff0c\u4fdd\u7559\u7cbe\u786e\u5750\u6807\u548c\u6587\u5b57\u5185\u5bb9\u3002<\/span>\nDirectly reads DWG\/DXF files, parsing all geometric primitives (LINE, TEXT, MTEXT, POLYLINE, etc.) and attributes, preserving exact coordinates and text content.<\/span><\/li>\n\n<li>\u626b\u63cf\u56fe\u9762\u7ed3\u6784<\/span>Scan Drawing Surface Structure<\/span><\/strong><br\/>\n\u901a\u8fc7\u7a7a\u95f4\u805a\u7c7b\u7b97\u6cd5\u5206\u6790\u56fe\u5143\u7684\u7a7a\u95f4\u5206\u5e03\u6a21\u5f0f\uff0c\u8bc6\u522b\u94bb\u5b54\u67f1\u72b6\u56fe\u7684\u680f\u76ee\u7ed3\u6784\uff08\u5982\u5b54\u53e3\u4fe1\u606f\u680f\u3001\u5730\u5c42\u63cf\u8ff0\u680f\u3001\u6d4b\u4e95\u66f2\u7ebf\u680f\u7b49\uff09\u3002<\/span>\nAnalyzes spatial distribution patterns of primitives via spatial clustering algorithms to identify column structures (collar info, stratigraphic description, log curves, etc.).<\/span><\/li>\n\n<li>\u5212\u5206\u7ed3\u6784\u533a\u57df<\/span>Segment Structural Regions<\/span><\/strong><br\/>\n\u6839\u636e\u680f\u76ee\u7ed3\u6784\u5c06\u56fe\u9762\u5212\u5206\u4e3a\u82e5\u5e72\u903b\u8f91\u533a\u57df\uff0c\u6bcf\u4e2a\u533a\u57df\u5bf9\u5e94\u4e00\u7c7b\u6570\u636e\uff08\u57fa\u672c\u4fe1\u606f\u3001\u5206\u5c42\u6570\u636e\u3001\u8bd5\u9a8c\u6570\u636e\u7b49\uff09\u3002<\/span>\nDivides the drawing into logical regions by column structure, each corresponding to a data category (basic info, layer data, test data, etc.).<\/span><\/li>\n\n<li>\u81ea\u52a8\u5efa\u8868\u63d0\u53d6\u6570\u636e<\/span>Auto Table Building & Data Extraction<\/span><\/strong><br\/>\n\u5728\u6bcf\u4e2a\u903b\u8f91\u533a\u57df\u5185\uff0c\u6309\u884c\u5217\u5173\u7cfb\u7ec4\u7ec7\u56fe\u5143\u6570\u636e\uff0c\u81ea\u52a8\u6784\u5efa\u7ed3\u6784\u5316\u8868\u683c\u3002\u901a\u8fc7\u56fe\u5143\u7684\u4f4d\u7f6e\u5173\u7cfb\uff08\u5982\u6587\u5b57\u5bf9\u9f50\u3001\u7ebf\u6846\u5305\u56f4\uff09\u786e\u5b9a\u5b57\u6bb5\u5bf9\u5e94\u5173\u7cfb\u3002<\/span>\nWithin each logical region, organizes primitive data by row-column relationships to auto-build structured tables. Determines field mappings through positional relationships (text alignment, line bounding).<\/span><\/li>\n\n<li>\u8d28\u91cf\u68c0\u67e5\u4e0e\u5f02\u5e38\u5b9a\u4f4d<\/span>Quality Check & Anomaly Location<\/span><\/strong><br\/>\n\u5bf9\u63d0\u53d6\u7ed3\u679c\u8fdb\u884c\u81ea\u52a8\u6821\u9a8c\uff1a\u6df1\u5ea6\u9012\u589e\u68c0\u67e5\u3001\u5b57\u6bb5\u5b8c\u6574\u6027\u68c0\u67e5\u3001\u903b\u8f91\u4e00\u81f4\u6027\u68c0\u67e5\u3002\u53d1\u73b0\u5f02\u5e38\u65f6\uff0c\u5728CAD\u56fe\u9762\u4e0a\u7cbe\u786e\u5b9a\u4f4d\u5e76\u6807\u6ce8\u5f02\u5e38\u4f4d\u7f6e\u3002<\/span>\nAuto-validates extraction results: depth monotonicity, field completeness, logical consistency. When anomalies are found, precisely locates and marks them on the CAD drawing.<\/span><\/li>\n<\/ol>\n\n<h4>\u6280\u672f\u4f18\u52bf\u4e0e\u5c40\u9650<\/span>Advantages & Limitations<\/span><\/h4>\n<div class=\"tip-box\">\n\u4f18\u52bf\uff1a<\/span>Advantages:<\/span><\/strong><br\/>\n– \u7cbe\u5ea6\u6781\u9ad8\uff0c\u76f4\u63a5\u8bfb\u53d6\u77e2\u91cf\u6570\u636e\u65e0OCR\u8bef\u5dee<br\/>– \u53ef\u4fdd\u7559\u7a7a\u95f4\u4f4d\u7f6e\u4fe1\u606f<br\/>– \u5f02\u5e38\u5b9a\u4f4d\u529f\u80fd\u4fbf\u4e8e\u4eba\u5de5\u590d\u6838<\/span>\n– Extremely high precision; direct vector data reading without OCR errors<br\/>– Preserves spatial position information<br\/>– Anomaly location facilitates manual review<\/span>\n<\/div>\n<div class=\"tip-box warn\">\n\u5c40\u9650\uff1a<\/span>Limitations:<\/span><\/strong><br\/>\n– \u4ec5\u9002\u7528\u4e8e\u77e2\u91cfCAD\u6587\u4ef6\uff0c\u65e0\u6cd5\u5904\u7406\u626b\u63cf\u56fe\u7247<br\/>– \u4e0d\u540c\u5355\u4f4d\u7684CAD\u7ed8\u56fe\u89c4\u8303\u5dee\u5f02\u5927\uff0c\u9002\u5e94\u6027\u6709\u9650<\/span>\n– Only works for vector CAD files; cannot process scanned images<br\/>– Different organizations’ CAD drafting standards vary widely, limiting adaptability<\/span>\n<\/div>\n<\/div>\n\n<\/section>\n\n<section class=\"section\" id=\"multisource\">\n\n<div class=\"section-icon\">\ud83d\udd17<\/div>\n<h2>\u57fa\u4e8e\u591a\u6e90\u6570\u636e\u878d\u5408\u7684\u94bb\u5b54\u67f1\u72b6\u56fe\u7ed3\u6784\u5316\u5904\u7406\u65b9\u6cd5<\/span>Multi-source Data Fusion Based Structured Processing<\/span><\/h2>\n\n<div class=\"patent-card\">\n<div class=\"patent-title\">\u57fa\u4e8e\u591a\u6e90\u6570\u636e\u878d\u5408\u7684\u94bb\u5b54\u67f1\u72b6\u56fe\u7ed3\u6784\u5316\u5904\u7406\u65b9\u6cd5<\/span>Structured Processing Method Based on Multi-source Data Fusion<\/span><\/div>\n<div class=\"patent-meta\">\n\u6280\u672f\u4ee3\u9645\uff1a\u7b2c\u4e09\u4ee3<\/span>\nGeneration: 3rd<\/span>\n<\/div>\n\n<h4>\u6280\u672f\u80cc\u666f<\/span>Technical Background<\/span><\/h4>\n\u94bb\u5b54\u6570\u636e\u6765\u6e90\u591a\u6837\uff08\u91ce\u5916\u8bb0\u5f55\u3001\u5b9e\u9a8c\u5ba4\u62a5\u544a\u3001\u6d4b\u4e95\u66f2\u7ebf\u3001\u8bbe\u8ba1\u6587\u6863\u7b49\uff09\uff0c\u683c\u5f0f\u4e0d\u7edf\u4e00\uff0c\u6df1\u5ea6\u57fa\u51c6\u53ef\u80fd\u4e0d\u4e00\u81f4\u3002\u5355\u4e00\u6765\u6e90\u7684\u6570\u636e\u5f80\u5f80\u4e0d\u5b8c\u6574\uff0c\u9700\u8981\u591a\u6e90\u878d\u5408\u4e0e\u4ea4\u53c9\u9a8c\u8bc1\u3002<\/span>\nBorehole data comes from diverse sources (field records, lab reports, log curves, design documents) with inconsistent formats and depth references. Single-source data is often incomplete, requiring multi-source fusion and cross-validation.<\/span><\/p>\n\n<h4>\u6838\u5fc3\u6280\u672f\u65b9\u6cd5<\/span>Core Technical Methods<\/span><\/h4>\n\n<div class=\"method-flow\">\n\u5b57\u6bb5\u6620\u5c04<\/span>Field Mapping<\/span><\/span>\n\u2192<\/span>\n\u683c\u5f0f\u8f6c\u6362<\/span>Format Conversion<\/span><\/span>\n\u2192<\/span>\n\u6570\u636e\u5e93\u5173\u8054<\/span>DB Association<\/span><\/span>\n\u2192<\/span>\n\u6df1\u5ea6\u5bf9\u9f50<\/span>Depth Alignment<\/span><\/span>\n\u2192<\/span>\n\u591a\u5c42\u7ea7\u6821\u6838<\/span>Multi-level Verification<\/span><\/span>\n<\/div>\n\n<ol class=\"step-list\">\n<li>\u5b57\u6bb5\u6620\u5c04<\/span>Field Mapping<\/span><\/strong><br\/>\n\u5efa\u7acb\u4e0d\u540c\u6570\u636e\u6e90\u95f4\u7684\u5b57\u6bb5\u6620\u5c04\u5b57\u5178\uff0c\u5c06\u5404\u6765\u6e90\u7684\u540c\u4e49\u5b57\u6bb5\u7edf\u4e00\u4e3a\u6807\u51c6\u5b57\u6bb5\u540d\u3002\u4f8b\u5982\u5c06”\u5b54\u6df1”\u3001”\u4e95\u6df1”\u3001”Depth”\u6620\u5c04\u4e3a\u7edf\u4e00\u5b57\u6bb5”depth”\u3002<\/span>\nEstablishes field mapping dictionaries between different data sources, unifying synonymous fields to standard names. E.g., maps “\u5b54\u6df1”, “\u4e95\u6df1”, “Depth” to unified field “depth”.<\/span><\/li>\n\n<li>\u683c\u5f0f\u8f6c\u6362<\/span>Format Conversion<\/span><\/strong><br\/>\n\u5c06Excel\u3001CSV\u3001PDF\u8868\u683c\u3001\u6570\u636e\u5e93\u8bb0\u5f55\u7b49\u591a\u79cd\u683c\u5f0f\u7edf\u4e00\u8f6c\u6362\u4e3a\u4e2d\u95f4\u6807\u51c6\u683c\u5f0f\uff08\u5982JSON\/XML\uff09\uff0c\u4fdd\u7559\u539f\u59cb\u6570\u636e\u6765\u6e90\u6807\u8bb0\u3002<\/span>\nConverts Excel, CSV, PDF tables, database records, etc. into an intermediate standard format (JSON\/XML), preserving original data source tags.<\/span><\/li>\n\n<li>\u6570\u636e\u5e93\u5173\u8054<\/span>Database Association<\/span><\/strong><br\/>\n\u4ee5\u94bb\u5b54\u7f16\u53f7\u4e3a\u952e\uff0c\u5c06\u6765\u81ea\u4e0d\u540c\u6570\u636e\u6e90\u7684\u8bb0\u5f55\u5173\u8054\u5230\u540c\u4e00\u94bb\u5b54\u5b9e\u4f53\u4e0b\uff0c\u5efa\u7acb\u4e3b\u4ece\u8868\u5173\u7cfb\uff08\u5982\u94bb\u5b54\u57fa\u672c\u4fe1\u606f\u4e3a\u4e3b\u8868\uff0c\u5730\u5c42\u7f16\u5f55\u3001\u8bd5\u9a8c\u6570\u636e\u4e3a\u4ece\u8868\uff09\u3002<\/span>\nUses borehole ID as key to associate records from different sources under the same borehole entity, establishing master-detail relationships (basic info as master, stratigraphic logs and test data as details).<\/span><\/li>\n\n<li>\u5730\u5c42-\u6d4b\u4e95\u6570\u636e\u6df1\u5ea6\u5bf9\u9f50<\/span>Stratigraphy-Log Depth Alignment<\/span><\/strong><br\/>\n\u8fd9\u662f\u6838\u5fc3\u521b\u65b0\u70b9\u3002\u5730\u5c42\u7f16\u5f55\u7684\u5206\u5c42\u6df1\u5ea6\u4e0e\u6d4b\u4e95\u66f2\u7ebf\u7684\u91c7\u6837\u6df1\u5ea6\u901a\u5e38\u4e0d\u5b8c\u5168\u4e00\u81f4\uff0c\u9700\u8981\u57fa\u4e8e\u6df1\u5ea6\u63d2\u503c\u6216\u6700\u8fd1\u90bb\u5339\u914d\u5c06\u4e24\u7c7b\u6570\u636e\u5bf9\u9f50\u5230\u7edf\u4e00\u6df1\u5ea6\u7f51\u683c\u3002<\/span>\nThis is the core innovation. Stratigraphic log layer depths and log curve sample depths usually don’t exactly align; depth interpolation or nearest-neighbor matching is used to align both to a unified depth grid.<\/span><\/li>\n\n<li>\u591a\u5c42\u7ea7\u6821\u6838<\/span>Multi-level Verification<\/span><\/strong><br\/>\n\u8bbe\u8ba1\u4e09\u7ea7\u6821\u6838\u673a\u5236\uff1a<\/span>\nA three-level verification mechanism is designed:<\/span>\n <ul>\n <li>\u5b57\u6bb5\u7ea7\uff1a\u6570\u636e\u7c7b\u578b\u3001\u53d6\u503c\u8303\u56f4\u3001\u5355\u4f4d\u4e00\u81f4\u6027<\/span>\n Field-level: data type, value range, unit consistency<\/span><\/li>\n <li>\u8bb0\u5f55\u7ea7\uff1a\u5355\u5b54\u5185\u5730\u5c42\u8fde\u7eed\u6027\u3001\u6df1\u5ea6\u903b\u8f91<\/span>\n Record-level: intra-borehole stratigraphic continuity, depth logic<\/span><\/li>\n <li>\u9879\u76ee\u7ea7\uff1a\u591a\u5b54\u95f4\u5730\u5c42\u5bf9\u6bd4\u4e00\u81f4\u6027\u3001\u7a7a\u95f4\u5206\u5e03\u5408\u7406\u6027<\/span>\n Project-level: inter-borehole stratigraphic correlation consistency, spatial distribution plausibility<\/span><\/li>\n <\/ul>\n<\/li>\n<\/ol>\n\n<h4>\u6280\u672f\u4f18\u52bf\u4e0e\u5c40\u9650<\/span>Advantages & Limitations<\/span><\/h4>\n<div class=\"tip-box\">\n\u4f18\u52bf\uff1a<\/span>Advantages:<\/span><\/strong><br\/>\n– \u591a\u6e90\u6570\u636e\u4e92\u8865\uff0c\u63d0\u5347\u6570\u636e\u5b8c\u6574\u6027<br\/>– \u6df1\u5ea6\u5bf9\u9f50\u7b97\u6cd5\u89e3\u51b3\u5f02\u6784\u6570\u636e\u878d\u5408\u96be\u9898<br\/>– \u591a\u7ea7\u6821\u6838\u786e\u4fdd\u6570\u636e\u8d28\u91cf<\/span>\n– Multi-source data complementarity improves completeness<br\/>– Depth alignment solves heterogeneous data fusion challenges<br\/>– Multi-level verification ensures data quality<\/span>\n<\/div>\n<div class=\"tip-box warn\">\n\u5c40\u9650\uff1a<\/span>Limitations:<\/span><\/strong><br\/>\n– \u4f9d\u8d56\u7ed3\u6784\u5316\u8f93\u5165\u6e90\uff0c\u5bf9\u626b\u63cf\u56fe\u7247\/\u7eb8\u8d28\u6587\u6863\u9700\u524d\u7f6eOCR<br\/>– \u5b57\u6bb5\u6620\u5c04\u89c4\u5219\u9700\u4eba\u5de5\u7ef4\u62a4<\/span>\n– Depends on structured input sources; scanned images\/paper require\u524d\u7f6e OCR<br\/>– Field mapping rules require manual maintenance<\/span>\n<\/div>\n<\/div>\n\n<\/section>\n\n<section class=\"section\" id=\"ocr\">\n\n<div class=\"section-icon\">\ud83d\udcc4<\/div>\n<h2>\u626b\u63cf\u94bb\u5b54\u67f1\u72b6\u56fe\u5168\u8981\u7d20\u4fe1\u606f\u81ea\u52a8\u8bc6\u522b\u63d0\u53d6\u65b9\u6cd5<\/span>Scanned Borehole Log Full-Element Auto Recognition<\/span><\/h2>\n\n<div class=\"patent-card\">\n<div class=\"patent-title\">\u626b\u63cf\u94bb\u5b54\u67f1\u72b6\u56fe\u5168\u8981\u7d20\u4fe1\u606f\u81ea\u52a8\u8bc6\u522b\u63d0\u53d6\u65b9\u6cd5<\/span>Full-Element Information Auto Extraction from Scanned Borehole Logs<\/span><\/div>\n<div class=\"patent-meta\">\n\u6280\u672f\u4ee3\u9645\uff1a\u7b2c\u56db\u4ee3<\/span>\nGeneration: 4th<\/span>\n<\/div>\n\n<h4>\u6280\u672f\u80cc\u666f<\/span>Technical Background<\/span><\/h4>\n\u5386\u53f2\u94bb\u5b54\u6863\u6848\u4ee5\u626b\u63cf\u56fe\u7247\u4e3a\u4e3b\uff0c\u5305\u542b\u6587\u5b57\u3001\u6570\u5b57\u3001\u5ca9\u6027\u7b26\u53f7\u3001\u66f2\u7ebf\u7b49\u591a\u79cd\u8981\u7d20\u3002\u4f20\u7edf\u65b9\u6cd5\u9700\u8981\u4eba\u5de5\u9010\u9879\u5f55\u5165\uff0c\u6548\u7387\u6781\u4f4e\u3002\u672c\u4e13\u5229\u63d0\u51fa\u7aef\u5230\u7aef\u7684\u81ea\u52a8\u5316\u8bc6\u522b\u65b9\u6848\u3002<\/span>\nHistorical drilling archives are mostly scanned images containing text, numbers, lithology symbols, curves, and other elements. Traditional methods require manual entry item by item, which is extremely inefficient. This patent proposes an end-to-end automated recognition solution.<\/span><\/p>\n\n<h4>\u6838\u5fc3\u6280\u672f\u65b9\u6cd5<\/span>Core Technical Methods<\/span><\/h4>\n\n<div class=\"method-flow\">\n\u6837\u672c\u6279\u91cf\u751f\u6210<\/span>Batch Sample Gen<\/span><\/span>\n\u2192<\/span>\nOCR\u6a21\u578b\u8bad\u7ec3<\/span>OCR Model Training<\/span><\/span>\n\u2192<\/span>\n\u7279\u6b8a\u7b26\u53f7\u8bc6\u522b<\/span>Special Symbol Recognition<\/span><\/span>\n\u2192<\/span>\n\u5168\u8981\u7d20\u63d0\u53d6<\/span>Full-element Extraction<\/span><\/span>\n\u2192<\/span>\nXML\u7ed3\u6784\u5316\u5b58\u50a8<\/span>XML Structured Storage<\/span><\/span>\n<\/div>\n\n<ol class=\"step-list\">\n<li>\u6279\u91cf\u751f\u6210\u6587\u5b57\u6837\u672c\u8bad\u7ec3OCR\u6a21\u578b<\/span>Batch Text Sample Generation for OCR Training<\/span><\/strong><br\/>\n\u9488\u5bf9\u94bb\u5b54\u67f1\u72b6\u56fe\u7684\u7279\u5b9a\u5b57\u4f53\u548c\u6392\u7248\u98ce\u683c\uff0c\u6279\u91cf\u5408\u6210\u8bad\u7ec3\u6837\u672c\uff08\u5305\u62ec\u4e0d\u540c\u5b57\u4f53\u3001\u5b57\u53f7\u3001\u65cb\u8f6c\u89d2\u5ea6\u3001\u566a\u58f0\u6c34\u5e73\uff09\uff0c\u8bad\u7ec3\u4e13\u7528OCR\u6a21\u578b\u3002\u8fd9\u6bd4\u901a\u7528OCR\u6a21\u578b\u5728\u8be5\u9886\u57df\u51c6\u786e\u7387\u66f4\u9ad8\u3002<\/span>\nFor the specific fonts and layout styles of borehole logs, batch-synthesizes training samples (different fonts, sizes, rotation angles, noise levels) to train domain-specific OCR models, achieving higher accuracy than general OCR.<\/span><\/li>\n\n<li>\u7279\u6b8a\u7b26\u53f7\u8bc6\u522b<\/span>Special Symbol Recognition<\/span><\/strong><br\/>\n\u5ca9\u6027\u7b26\u53f7\u3001\u6807\u8d2f\u7b26\u53f7\u3001\u53d6\u82af\u7b26\u53f7\u7b49\u975e\u6587\u5b57\u8981\u7d20\uff0c\u91c7\u7528\u76ee\u6807\u68c0\u6d4b\uff08\u5982YOLO\u3001Faster R-CNN\uff09\u6216\u4f20\u7edf\u56fe\u50cf\u5904\u7406\u65b9\u6cd5\uff08\u8fde\u901a\u57df\u5206\u6790\u3001\u5f62\u72b6\u63cf\u8ff0\u5b50\uff09\u8fdb\u884c\u8bc6\u522b\u548c\u5206\u7c7b\u3002<\/span>\nNon-text elements such as lithology symbols, SPT symbols, and core recovery symbols are recognized and classified using object detection (YOLO, Faster R-CNN) or traditional image processing (connected component analysis, shape descriptors).<\/span><\/li>\n\n<li>\u5168\u8981\u7d20\u4fe1\u606f\u63d0\u53d6<\/span>Full-Element Information Extraction<\/span><\/strong><br\/>\n\u6574\u5408OCR\u6587\u5b57\u7ed3\u679c\u548c\u7b26\u53f7\u8bc6\u522b\u7ed3\u679c\uff0c\u901a\u8fc7\u7248\u9762\u5206\u6790\u786e\u5b9a\u5404\u8981\u7d20\u95f4\u7684\u7a7a\u95f4\u5173\u7cfb\uff08\u5982\u67d0\u6df1\u5ea6\u503c\u5c5e\u4e8e\u54ea\u4e00\u5730\u5c42\u6bb5\uff09\uff0c\u8f93\u51fa\u5b8c\u6574\u7684\u7ed3\u6784\u5316\u8bb0\u5f55\u3002<\/span>\nIntegrates OCR text results and symbol recognition results. Uses layout analysis to determine spatial relationships between elements (e.g., which depth value belongs to which stratigraphic interval), outputting complete structured records.<\/span><\/li>\n\n<li>XML\u7ed3\u6784\u5316\u5b58\u50a8<\/span>XML Structured Storage<\/span><\/strong><br\/>\n\u5c06\u63d0\u53d6\u7ed3\u679c\u6309\u9884\u5b9a\u4e49\u7684XML Schema\u5b58\u50a8\uff0c\u5305\u542b\u94bb\u5b54\u57fa\u672c\u4fe1\u606f\u3001\u5730\u5c42\u5206\u5c42\u5217\u8868\u3001\u8bd5\u9a8c\u6570\u636e\u5217\u8868\u3001\u7b26\u53f7\u8bc6\u522b\u7ed3\u679c\u7b49\uff0c\u4fbf\u4e8e\u540e\u7eed\u7cfb\u7edf\u96c6\u6210\u3002<\/span>\nStores extraction results according to a predefined XML Schema, including basic borehole info, stratigraphic interval list, test data list, symbol recognition results, etc., facilitating subsequent system integration.<\/span><\/li>\n<\/ol>\n\n<h4>\u6280\u672f\u4f18\u52bf\u4e0e\u5c40\u9650<\/span>Advantages & Limitations<\/span><\/h4>\n<div class=\"tip-box\">\n\u4f18\u52bf\uff1a<\/span>Advantages:<\/span><\/strong><br\/>\n– \u7aef\u5230\u7aef\u81ea\u52a8\u5316\uff0c\u65e0\u9700\u4eba\u5de5\u5e72\u9884<br\/>– \u4e13\u7528OCR\u6a21\u578b\u9488\u5bf9\u6027\u5f3a\uff0c\u51c6\u786e\u7387\u9ad8<br\/>– XML\u8f93\u51fa\u6807\u51c6\u5316\uff0c\u4fbf\u4e8e\u96c6\u6210<\/span>\n– End-to-end automation without manual intervention<br\/>– Domain-specific OCR model has strong targeting and high accuracy<br\/>– Standardized XML output facilitates integration<\/span>\n<\/div>\n<div class=\"tip-box warn\">\n\u5c40\u9650\uff1a<\/span>Limitations:<\/span><\/strong><br\/>\n– \u9700\u8981\u5927\u91cf\u6807\u6ce8\u6837\u672c\u8bad\u7ec3\u4e13\u7528\u6a21\u578b<br\/>– \u5bf9\u65b0\u683c\u5f0f\/\u65b0\u5b57\u4f53\u7684\u6cdb\u5316\u80fd\u529b\u6709\u9650<br\/>– \u590d\u6742\u8868\u683c\u7ed3\u6784\u7684\u7406\u89e3\u4ecd\u6709\u6311\u6218<\/span>\n– Requires large amounts of labeled samples to train specialized models<br\/>– Limited generalization to new formats\/fonts<br\/>– Understanding complex table structures remains challenging<\/span>\n<\/div>\n<\/div>\n\n<\/section>\n\n<section class=\"section\" id=\"llm\">\n\n<div class=\"section-icon\">\ud83e\udd16<\/div>\n<h2>\u57fa\u4e8e\u591a\u6a21\u6001\u5927\u6a21\u578b\u7684\u94bb\u5b54\u67f1\u72b6\u56fe\u4fe1\u606f\u8bc6\u522b\u63d0\u53d6\u65b9\u6cd5<\/span>Multimodal LLM Based Borehole Log Information Extraction<\/span><\/h2>\n\n<div class=\"patent-card\">\n<div class=\"patent-title\">\u57fa\u4e8e\u591a\u6a21\u6001\u5927\u6a21\u578b\u7684\u94bb\u5b54\u67f1\u72b6\u56fe\u4fe1\u606f\u8bc6\u522b\u63d0\u53d6\u65b9\u6cd5<\/span>Borehole Log Information Extraction Based on Multimodal Large Models<\/span><\/div>\n<div class=\"patent-meta\">\n\u6280\u672f\u4ee3\u9645\uff1a\u7b2c\u4e94\u4ee3<\/span>\nGeneration: 5th<\/span>\n<\/div>\n\n<h4>\u6280\u672f\u80cc\u666f<\/span>Technical Background<\/span><\/h4>\n\u4f20\u7edfOCR\u548c\u4e13\u7528\u6a21\u578b\u9700\u8981\u4e3a\u6bcf\u79cd\u65b0\u683c\u5f0f\u91cd\u65b0\u8bad\u7ec3\uff0c\u9002\u5e94\u6210\u672c\u9ad8\u3002\u591a\u6a21\u6001\u5927\u6a21\u578b\uff08\u5982GPT-4V\u3001Claude 3\uff09\u5177\u5907\u5f3a\u5927\u7684\u89c6\u89c9\u7406\u89e3\u80fd\u529b\uff0c\u53ef\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\u76f4\u63a5\u7406\u89e3\u94bb\u5b54\u67f1\u72b6\u56fe\u5185\u5bb9\uff0c\u65e0\u9700\u9488\u5bf9\u7279\u5b9a\u683c\u5f0f\u8bad\u7ec3\u3002<\/span>\nTraditional OCR and specialized models require retraining for each new format, with high adaptation costs. Multimodal large models (GPT-4V, Claude 3) have powerful visual understanding capabilities and can directly comprehend borehole log content through natural language instructions without format-specific training.<\/span><\/p>\n\n<h4>\u6838\u5fc3\u6280\u672f\u65b9\u6cd5<\/span>Core Technical Methods<\/span><\/h4>\n\n<div class=\"method-flow\">\n\u56fe\u50cf\u589e\u5f3a\u9884\u5904\u7406<\/span>Image Enhancement<\/span><\/span>\n\u2192<\/span>\nPrompt\u5fae\u8c03\u8bed\u6599\u6784\u5efa<\/span>Prompt Fine-tuning Corpus<\/span><\/span>\n\u2192<\/span>\n\u591a\u6a21\u6001\u5927\u6a21\u578b\u8c03\u4f18<\/span>Multimodal LLM Tuning<\/span><\/span>\n\u2192<\/span>\n\u6570\u636e\u6e05\u6d17<\/span>Data Cleaning<\/span><\/span>\n\u2192<\/span>\n\u7ed3\u6784\u5316\u8f93\u51fa<\/span>Structured Output<\/span><\/span>\n<\/div>\n\n<ol class=\"step-list\">\n<li>\u56fe\u50cf\u589e\u5f3a\u9884\u5904\u7406<\/span>Image Enhancement Preprocessing<\/span><\/strong><br\/>\n\u5bf9\u626b\u63cf\u56fe\u50cf\u8fdb\u884c\u53bb\u566a\u3001\u5bf9\u6bd4\u5ea6\u589e\u5f3a\u3001\u51e0\u4f55\u6821\u6b63\u3001\u5206\u8fa8\u7387\u7edf\u4e00\u7b49\u9884\u5904\u7406\uff0c\u63d0\u5347\u5927\u6a21\u578b\u7684\u8bc6\u522b\u6548\u679c\u3002\u5bf9\u9000\u5316\u4e25\u91cd\u7684\u5386\u53f2\u6863\u6848\uff0c\u91c7\u7528\u8d85\u5206\u8fa8\u7387\u91cd\u5efa\u6280\u672f\u6062\u590d\u7ec6\u8282\u3002<\/span>\nApplies denoising, contrast enhancement, geometric correction, resolution normalization to scanned images to improve large model recognition. For severely degraded historical archives, uses super-resolution reconstruction to restore details.<\/span><\/li>\n\n<li>\u6784\u5efaPrompt\u5fae\u8c03\u8bed\u6599<\/span>Build Prompt Fine-tuning Corpus<\/span><\/strong><br\/>\n\u8bbe\u8ba1\u9488\u5bf9\u94bb\u5b54\u67f1\u72b6\u56fe\u7684\u4e13\u4e1aPrompt\u6a21\u677f\uff0c\u5305\u62ec\uff1a<\/span>\nDesigns specialized prompt templates for borehole logs, including:<\/span>\n <ul>\n <li>\u89d2\u8272\u8bbe\u5b9a\uff1a”\u4f60\u662f\u4e00\u4f4d\u8d44\u6df1\u5730\u8d28\u5de5\u7a0b\u5e08…”<\/span>\n Role setting: “You are a senior geological engineer…”<\/span><\/li>\n <li>\u8f93\u51fa\u683c\u5f0f\u6307\u4ee4\uff1a\u8981\u6c42\u6309JSON\/XML\u683c\u5f0f\u8f93\u51fa<\/span>\n Output format instruction: require JSON\/XML output<\/span><\/li>\n <li>\u5b57\u6bb5\u8bf4\u660e\uff1a\u660e\u786e\u5404\u5b57\u6bb5\u7684\u53d6\u503c\u8303\u56f4\u548c\u5355\u4f4d<\/span>\n Field descriptions: clarify value ranges and units for each field<\/span><\/li>\n <li>\u793a\u4f8b\u5b66\u4e60(Few-shot)\uff1a\u63d0\u4f9b\u6807\u51c6\u8f93\u5165-\u8f93\u51fa\u793a\u4f8b<\/span>\n Few-shot learning: provide standard input-output examples<\/span><\/li>\n <\/ul>\n<\/li>\n\n<li>\u591a\u6a21\u6001\u5927\u6a21\u578b\u53c2\u6570\u8c03\u4f18<\/span>Multimodal LLM Parameter Tuning<\/span><\/strong><br\/>\n\u901a\u8fc7LoRA\u3001Prompt Tuning\u7b49\u8f7b\u91cf\u5fae\u8c03\u6280\u672f\uff0c\u5728\u5c11\u91cf\u6807\u6ce8\u6837\u672c\u4e0a\u8c03\u6574\u5927\u6a21\u578b\u53c2\u6570\uff0c\u4f7f\u5176\u66f4\u9002\u914d\u94bb\u5b54\u67f1\u72b6\u56fe\u9886\u57df\u3002\u6216\u91c7\u7528RAG\uff08\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff09\u65b9\u5f0f\uff0c\u5c06\u9886\u57df\u77e5\u8bc6\u5e93\u63a5\u5165\u63a8\u7406\u6d41\u7a0b\u3002<\/span>\nUses lightweight fine-tuning techniques (LoRA, Prompt Tuning) on small labeled datasets to adapt large models to the borehole log domain. Alternatively, uses RAG (Retrieval-Augmented Generation) to integrate domain knowledge bases into the inference pipeline.<\/span><\/li>\n\n<li>\u6570\u636e\u6e05\u6d17\u8f93\u51fa\u7ed3\u6784\u5316\u7ed3\u679c<\/span>Data Cleaning & Structured Output<\/span><\/strong><br\/>\n\u5927\u6a21\u578b\u8f93\u51fa\u53ef\u80fd\u5b58\u5728\u5e7b\u89c9(hallucination)\u548c\u683c\u5f0f\u4e0d\u4e00\u81f4\u95ee\u9898\u3002\u8bbe\u8ba1\u540e\u5904\u7406\u6a21\u5757\uff1a\u2460 schema\u6821\u9a8c\u786e\u4fdd\u8f93\u51fa\u683c\u5f0f\u6b63\u786e\uff1b\u2461 \u89c4\u5219\u5f15\u64ce\u6821\u9a8c\u5730\u8d28\u903b\u8f91\uff08\u6df1\u5ea6\u9012\u589e\u3001\u539a\u5ea6\u4e3a\u6b63\uff09\uff1b\u2462 \u7f6e\u4fe1\u5ea6\u8fc7\u6ee4\u5254\u9664\u4f4e\u7f6e\u4fe1\u5ea6\u7ed3\u679c\u3002<\/span>\nLarge model outputs may contain hallucinations and format inconsistencies. A post-processing module is designed: \u2460 schema validation ensures correct output format; \u2461 rule engine validates geological logic (depth monotonicity, positive thickness); \u2462 confidence filtering removes low-confidence results.<\/span><\/li>\n<\/ol>\n\n<h4>\u6280\u672f\u4f18\u52bf\u4e0e\u5c40\u9650<\/span>Advantages & Limitations<\/span><\/h4>\n<div class=\"tip-box\">\n\u4f18\u52bf\uff1a<\/span>Advantages:<\/span><\/strong><br\/>\n– \u96f6\u6837\u672c\/\u5c11\u6837\u672c\u5373\u53ef\u9002\u914d\u65b0\u683c\u5f0f\uff0c\u65e0\u9700\u91cd\u65b0\u8bad\u7ec3<br\/>– \u7406\u89e3\u80fd\u529b\u5f3a\uff0c\u53ef\u5904\u7406\u590d\u6742\u5e03\u5c40\u548c\u9000\u5316\u56fe\u50cf<br\/>– \u81ea\u7136\u8bed\u8a00\u4ea4\u4e92\u964d\u4f4e\u4f7f\u7528\u95e8\u69db<\/span>\n– Zero\/few-shot adaptation to new formats without retraining<br\/>– Strong comprehension, handles complex layouts and degraded images<br\/>– Natural language interaction lowers usage barrier<\/span>\n<\/div>\n<div class=\"tip-box warn\">\n\u5c40\u9650\uff1a<\/span>Limitations:<\/span><\/strong><br\/>\n– \u5927\u6a21\u578b\u63a8\u7406\u6210\u672c\u9ad8\uff0c\u4e0d\u9002\u5408\u5927\u89c4\u6a21\u6279\u91cf\u5904\u7406<br\/>– \u5b58\u5728\u5e7b\u89c9\u98ce\u9669\uff0c\u5fc5\u987b\u6709\u540e\u5904\u7406\u6821\u9a8c<br\/>– \u4f9d\u8d56\u5916\u90e8API\u6216\u672c\u5730GPU\u7b97\u529b<\/span>\n– High inference cost, unsuitable for large-scale batch processing<br\/>– Hallucination risk requires post-processing validation<br\/>– Depends on external APIs or local GPU resources<\/span>\n<\/div>\n<\/div>\n\n<\/section>\n\n<section class=\"section\" id=\"comparison\">\n\n<div class=\"section-icon\">\u2696\ufe0f<\/div>\n<h2>\u6280\u672f\u8def\u7ebf\u5bf9\u6bd4<\/span>Technical Route Comparison<\/span><\/h2>\n\n<h3>\u4e13\u5229\u65b9\u6cd5\u7279\u5f81\u5bf9\u6bd4<\/span>Patent Method Characteristics Comparison<\/span><\/h3>\n\n<div class=\"table-wrap\">\n<table>\n<thead>\n<tr>\n<th>\u4e13\u5229<\/span>Patent<\/span><\/th>\n<th>\u8f93\u5165\u7c7b\u578b<\/span>Input Type<\/span><\/th>\n<th>\u6838\u5fc3\u6280\u672f<\/span>Core Technology<\/span><\/th>\n<th>\u8f93\u51fa\u683c\u5f0f<\/span>Output Format<\/span><\/th>\n<th>\u9002\u7528\u573a\u666f<\/span>Applicable Scenario<\/span><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u7ed3\u6784\u6a21\u5f0f\u8bc6\u522b<\/span>Pattern Recognition<\/span><\/td>\n<td>\u626b\u63cf\u56fe\u7247<\/span>Scanned image<\/span><\/td>\n<td>\u51e0\u4f55\u56fe\u5143+\u6a21\u677f\u5339\u914d<\/span>Geometric primitive + Template<\/span><\/td>\n<td>\u7ed3\u6784\u5316\u8868\u683c<\/span>Structured table<\/span><\/td>\n<td>\u6807\u51c6\u5316\u7b26\u53f7\u7684\u5ca9\u6027\u67f1<\/span>Lithology columns with standardized symbols<\/span><\/td>\n<\/tr>\n<tr>\n<td>CAD\u5de5\u7a0b\u6587\u4ef6<\/span>CAD File Processing<\/span><\/td>\n<td>DWG\/DXF<\/span>DWG\/DXF<\/span><\/td>\n<td>\u77e2\u91cf\u56fe\u5143\u89e3\u6790+\u533a\u57df\u5212\u5206<\/span>Vector parsing + Zone segmentation<\/span><\/td>\n<td>\u7ed3\u6784\u5316\u8868\u683c+\u5f02\u5e38\u6807\u6ce8<\/span>Structured table + Anomaly marks<\/span><\/td>\n<td>\u73b0\u6709CAD\u56fe\u4ef6\u6570\u5b57\u5316<\/span>Digitizing existing CAD drawings<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u591a\u6e90\u6570\u636e\u878d\u5408<\/span>Multi-source Fusion<\/span><\/td>\n<td>\u591a\u683c\u5f0f\u7ed3\u6784\u5316\u6570\u636e<\/span>Multi-format structured data<\/span><\/td>\n<td>\u5b57\u6bb5\u6620\u5c04+\u6df1\u5ea6\u5bf9\u9f50+\u6821\u6838<\/span>Field mapping + Depth alignment + Verification<\/span><\/td>\n<td>\u878d\u5408\u6570\u636e\u5e93<\/span>Fused database<\/span><\/td>\n<td>\u591a\u6765\u6e90\u6570\u636e\u6574\u5408<\/span>Multi-source data integration<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u626b\u63cf\u56fe\u4ef6OCR<\/span>Scanned OCR<\/span><\/td>\n<td>\u626b\u63cf\u56fe\u7247<\/span>Scanned image<\/span><\/td>\n<td>\u4e13\u7528OCR+\u76ee\u6807\u68c0\u6d4b+\u7248\u9762\u5206\u6790<\/span>Specialized OCR + Object detection + Layout<\/span><\/td>\n<td>XML<\/span>XML<\/span><\/td>\n<td>\u5386\u53f2\u626b\u63cf\u6863\u6848\u6279\u91cf\u5904\u7406<\/span>Batch processing of historical scanned archives<\/span><\/td>\n<\/tr>\n<tr>\n<td>\u591a\u6a21\u6001\u5927\u6a21\u578b<\/span>Multimodal LLM<\/span><\/td>\n<td>\u626b\u63cf\u56fe\u7247\/PDF<\/span>Scanned image \/ PDF<\/span><\/td>\n<td>\u89c6\u89c9\u5927\u6a21\u578b+Prompt\u5de5\u7a0b+RAG<\/span>Vision LLM + Prompt engineering + RAG<\/span><\/td>\n<td>JSON\/XML<\/span>JSON\/XML<\/span><\/td>\n<td>\u65b0\u683c\u5f0f\u5feb\u901f\u9002\u914d\/\u5c0f\u6279\u91cf<\/span>Rapid new format adaptation \/ Small batches<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n\n<h3>\u6280\u672f\u9009\u578b\u5efa\u8bae<\/span>Technology Selection Recommendations<\/span><\/h3>\n\n<div class=\"tip-box\">\n\u573a\u666f\u4e00\uff1a\u5927\u91cf\u5386\u53f2\u626b\u63cf\u6863\u6848\u6570\u5b57\u5316<\/span>Scenario 1: Large-scale Historical Scanned Archive Digitization<\/span><\/strong><br\/>\n\u63a8\u8350\uff1a\u626b\u63cf\u56fe\u4ef6OCR\u6cd5\uff08\u7b2c\u56db\u4ee3\uff09\u4e3a\u4e3b\uff0c\u591a\u6a21\u6001\u5927\u6a21\u578b\u6cd5\uff08\u7b2c\u4e94\u4ee3\uff09\u5904\u7406\u590d\u6742\/\u9000\u5316\u6837\u672c\u3002<\/span>\nRecommendation: Scanned OCR method (4th gen) as primary, multimodal LLM (5th gen) for complex\/degraded samples.<\/span>\n<\/div>\n\n<div class=\"tip-box\">\n\u573a\u666f\u4e8c\uff1a\u73b0\u6709CAD\u56fe\u4ef6\u6570\u636e\u63d0\u53d6<\/span>Scenario 2: Existing CAD Drawing Data Extraction<\/span><\/strong><br\/>\n\u63a8\u8350\uff1aCAD\u5de5\u7a0b\u6587\u4ef6\u6cd5\uff08\u7b2c\u4e8c\u4ee3\uff09\uff0c\u7cbe\u5ea6\u6700\u9ad8\u3001\u6210\u672c\u6700\u4f4e\u3002<\/span>\nRecommendation: CAD file processing method (2nd gen), highest precision and lowest cost.<\/span>\n<\/div>\n\n<div class=\"tip-box\">\n\u573a\u666f\u4e09\uff1a\u591a\u6765\u6e90\u5f02\u6784\u6570\u636e\u6574\u5408<\/span>Scenario 3: Multi-source Heterogeneous Data Integration<\/span><\/strong><br\/>\n\u63a8\u8350\uff1a\u591a\u6e90\u6570\u636e\u878d\u5408\u6cd5\uff08\u7b2c\u4e09\u4ee3\uff09\uff0c\u89e3\u51b3\u6df1\u5ea6\u5bf9\u9f50\u548c\u6570\u636e\u8d28\u91cf\u74f6\u9888\u3002<\/span>\nRecommendation: Multi-source fusion method (3rd gen), solves depth alignment and data quality bottlenecks.<\/span>\n<\/div>\n\n<div class=\"tip-box\">\n\u573a\u666f\u56db\uff1a\u65b0\u683c\u5f0f\u5feb\u901f\u9002\u914d\uff08\u6837\u672c\u5c11\uff09<\/span>Scenario 4: Rapid New Format Adaptation (Few Samples)<\/span><\/strong><br\/>\n\u63a8\u8350\uff1a\u591a\u6a21\u6001\u5927\u6a21\u578b\u6cd5\uff08\u7b2c\u4e94\u4ee3\uff09\uff0c\u96f6\u6837\u672c\/\u5c11\u6837\u672c\u5373\u53ef\u542f\u52a8\u3002<\/span>\nRecommendation: Multimodal LLM method (5th gen), can start with zero\/few shots.<\/span>\n<\/div>\n\n<h3>\u6280\u672f\u878d\u5408\u8d8b\u52bf<\/span>Technology Convergence Trends<\/span><\/h3>\n\n\u5b9e\u9645\u5de5\u7a0b\u4e2d\uff0c\u5355\u4e00\u6280\u672f\u5f80\u5f80\u96be\u4ee5\u5e94\u5bf9\u590d\u6742\u573a\u666f\u3002\u672a\u6765\u7684\u6280\u672f\u8def\u7ebf\u5c06\u662f\u591a\u4ee3\u6280\u672f\u7684\u878d\u5408\uff1a<\/span>\nIn practice, single technologies often struggle with complex scenarios. Future routes will be a fusion of multiple generations:<\/span><\/p>\n\n<ol>\n<li>OCR+\u5927\u6a21\u578b\u6df7\u5408\u67b6\u6784<\/span>OCR + LLM Hybrid Architecture<\/span><\/strong><br\/>\n\u5e38\u89c4\u9875\u9762\u7528\u7b2c\u56db\u4ee3OCR\u6279\u91cf\u5904\u7406\uff0c\u590d\u6742\/\u7591\u96be\u9875\u9762\u7528\u7b2c\u4e94\u4ee3\u5927\u6a21\u578b\u515c\u5e95\u3002<\/span>\nRoutine pages processed by 4th-gen OCR in batches, complex\/difficult pages handled by 5th-gen LLM as fallback.<\/span><\/li>\n<li>CAD\u89e3\u6790+\u6570\u636e\u5e93\u878d\u5408<\/span>CAD Parsing + Database Fusion<\/span><\/strong><br\/>\n\u7b2c\u4e8c\u4ee3CAD\u63d0\u53d6\u7684\u6570\u636e\uff0c\u7ecf\u7b2c\u4e09\u4ee3\u591a\u6e90\u878d\u5408\u6d41\u7a0b\u4e0e\u6d4b\u4e95\u3001\u8bd5\u9a8c\u6570\u636e\u6574\u5408\u3002<\/span>\nData extracted by 2nd-gen CAD parsing is integrated with log and test data through 3rd-gen multi-source fusion workflows.<\/span><\/li>\n<li>\u7b26\u53f7\u8bc6\u522b+\u7248\u9762\u7406\u89e3\u8054\u5408\u63a8\u7406<\/span>Symbol Recognition + Layout Understanding Joint Inference<\/span><\/strong><br\/>\n\u7b2c\u4e00\u4ee3\u7684\u7b26\u53f7\u8bc6\u522b\u4e0e\u7b2c\u56db\u4ee3\u7684\u7248\u9762\u5206\u6790\u76f8\u7ed3\u5408\uff0c\u5b9e\u73b0\u7b26\u53f7-\u6587\u5b57-\u5e03\u5c40\u7684\u8054\u5408\u7406\u89e3\u3002<\/span>\n1st-gen symbol recognition combined with 4th-gen layout analysis enables joint understanding of symbols, text, and layout.<\/span><\/li>\n<\/ol>\n\n<\/section>\n\n<div class=\"footnotes\">\n \u94bb\u5b54\u67f1\u72b6\u56fe\u4e13\u5229\u65b9\u6cd5\u8be6\u89e3 | \u57fa\u4e8e\u516c\u5f00\u4e13\u5229\u6587\u732e\u6574\u7406<\/span>Borehole Log Patent Analysis | Compiled from public patent literature<\/span><\/p>\n<\/div>\n\n<\/div>\n\n\n<script>\nfunction switchLanguage(lang) {\n document.documentElement.lang = lang;\n document.body.className = (lang === 'en') ? 'en-active' : '';\n \n var btnZh = document.getElementById('btn-zh');\n var btnEn = document.getElementById('btn-en');\n \n if (lang === 'zh') {\n btnZh.classList.add('active');\n btnEn.classList.remove('active');\n } else {\n btnEn.classList.add('active');\n btnZh.classList.remove('active');\n }\n}\n\ndocument.addEventListener('DOMContentLoaded', function() {\n switchLanguage('zh');\n});\n\ndocument.querySelectorAll('a[href^=\"#\"]').forEach(function(anchor) {\n anchor.addEventListener('click', function(e) {\n e.preventDefault();\n var target = document.querySelector(this.getAttribute('href'));\n if (target) {\n target.scrollIntoView({ behavior: 'smooth', block: 'start' });\n }\n });\n});\n<\/script>\n\n<style media=\"print\">\n .lang-bar { display: none !important; }\n section { page-break-inside: avoid; }\n<\/style>\n\n<\/body>\n<\/html>\n\n","protected":false},"excerpt":{"rendered":"\u94bb\u5b54\u67f1\u72b6\u56fe\u6570\u5b57\u5316\u4e13\u5229\u89e3\u6790Analysis of Borehole Log Digitization Paten […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,9],"tags":[],"class_list":["post-292","post","type-post","status-publish","format-standard","hentry","category-cad","category-ai"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/posts\/292","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/numsimlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=292"}],"version-history":[{"count":1,"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/posts\/292\/revisions"}],"predecessor-version":[{"id":293,"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/posts\/292\/revisions\/293"}],"wp:attachment":[{"href":"https:\/\/numsimlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=292"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/numsimlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=292"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/numsimlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=292"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}