基于Baidu Comate的AI技术在化探不规则网采样点自动编号中的应用  

Application of Baidu Comate-based AI technology to the automatic numbering of sampling points in irregular geochemical networks

作　　者：王烜 杨欢 王然 李英 王海鹏 柳岩松 廖俊宇 张呈彬 张旭东 WANG Xuan;YANG Huan;WANG Ran;LI Ying;WANG Hai-Peng;LIU Yan-Song;LIAO Jun-Yu;ZHANG Cheng-Bin;ZHANG Xu-Dong(Liaoning Institute of Geological Exploration Co.,Ltd.,Dalian 116100,China;Liaoning High-Resolution Observation System Application and Service Center of Geological Resources and Environmental,Dalian 116100,China)

机构地区：[1]辽宁省地质勘查院有限责任公司,辽宁大连116100 [2]高分辨率对地观测系统辽宁地质资源环境应用与服务中心,辽宁大连116100

出　　处：《物探与化探》2025年第2期462-469,共8页Geophysical and Geochemical Exploration

基　　金：辽宁省自然资源厅项目“辽宁省省级勘查成果综合集成研究”(JH20-210000-05760)。

摘　　要：数字化快速发展的时代,人工智能(AI)技术对传统工作模式带来了革命性的变化。本文基于百度Comate,提出了一种化探不规则网采样点自动编号方法,通过对12000个化探采样点做自动编号测试,发现自动编号方法相较传统手工方法效率提高了99.8%,正确率提高至100%,说明该方法与传统方法相比更高效、准确,能有效避免人为错误,并提高工作效率。文中还讨论了AI在处理复杂指令时面临的挑战以及指令清晰度的重要性、复杂逻辑的辨识度、开发知识储备的必要性等问题。虽然AI技术显著提高了化探不规则网采样点自动编号的效率和正确率,但前期封装工具需具有代码阅读能力的人员进行代码的修改和验证,并且在AI辅助下的需求处理应是分步骤的,最后需将验证通过的代码封装为工具以复用。In the era of rapid digitalization development,artificial intelligence(AI)technology has brought revolutionary changes to traditional work patterns.Based on Baidu Comate,this study proposed an automatic numbering method for sampling points in irregular geochemical networks.Automatic numbering tests,conducted on 12000 geochemical sampling points,demonstrate that the method improved the efficiency by 99.8%and achieved 100%accuracy compared to the traditional manual method.This indicates that the proposed method is more efficient and accurate than traditional approaches,effectively avoiding human errors and improving work efficiency.This study also discussed the challenges AI faces in processing complex instructions,the importance of instruction clarity,the identification of complex logic,and the necessity of developing knowledge reserves.Although AI technology has significantly improved the efficiency and accuracy of the automatic numbering of sampling points in irregular geochemical networks,the early development of packaging tools requires personnel who can read codes to modify and verify the codes.Additionally,AI-assisted demand processing should be in phases,and ultimately,it is necessary to encapsulate verified codes into a tool for reuse.

关 键 词：化探采样编号 Baidu Comate ArcGIS Pro AI技术 PYTHON 

分 类 号：P632[天文地球—地质矿产勘探]