物探与化探2025，Vol.49Issue(2)：462-469,8.DOI:10.11720/wtyht.2025.1200
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
摘要
Abstract
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 12 000 geochemical sampling points,demonstrate that the method im-proved the efficiency by 99.8%and achieved 100%accuracy compared to the traditional manual method.This indicates that the pro-posed method is more efficient and accurate than traditional approaches,effectively avoiding human errors and improving work efficien-cy.This study also discussed the challenges AI faces in processing complex instructions,the importance of instruction clarity,the iden-tification 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/PythonKey words
geochemical sampling numbering/Baidu Comate/ArcGIS Pro/AI technology/Python分类
地质学引用本文复制引用
王烜,杨欢,王然,李英,王海鹏,柳岩松,廖俊宇,张呈彬,张旭东..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[J].物探与化探,2025,49(2):462-469,8.基金项目
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) （JH20-210000-05760）
