煤矿井下钻进工况参数智能控制技术发展与展望  

Development and prospect of intelligent control technology for downhole drilling parameters in coal mine

作　　者：王清峰[1,2,3] 刘洋 陈航[1,2,3] 史书翰 崔小超 WANG Qingfeng;LIU Yang;CHEN Hang;SHI Shuhan;CUI Xiaochao(China Coal Research Institute,Beijing 100013,China;State Key Laboratory of Coal Mine Disaster Prevention and Control,Chongqing 400037,China;CCTEG Chongqing Research Institute,Chongqing 400039,China;Yanzhou Coal Heze Energy Chemical Co.,Ltd.,Heze 274705,China)

机构地区：[1]煤炭科学研究总院,北京100013 [2]煤矿灾害防控全国重点实验室,重庆400037 [3]中煤科工集团重庆研究院有限公司,重庆400039 [4]兖煤菏泽能化有限公司,山东菏泽274705

出　　处：《矿业安全与环保》2025年第1期20-29,共10页Mining Safety & Environmental Protection

基　　金：中煤科工集团重庆研究院有限公司重点研发项目(2022ZDXM13);天地科技股份有限公司科技创新创业项目(2022-2-TD-ZD008);重庆英才创新创业领军人才项目(cstc2024ycjh-bgzxm0135)。

摘　　要：煤矿智能化和高产高效矿井的建设,对煤矿井下钻探智能化技术提出了更高要求。梳理了煤矿井下智能钻探技术发展历程,指出经过井下远距离手动控制、地面远距离手动控制、地面远距离自动控制、双模式自动控制等4个发展阶段后,煤矿井下钻探技术目前正处于智能化钻探探索阶段。从基于专家数据库、机器学习、云系统等3个方向,总结阐述了煤矿井下钻探智能化的关键核心技术——钻进工况参数智能控制技术的发展情况:专家数据库方面,介绍了其在矿业领域的主要应用范围,以及被引入到智能化钻探领域后的4个发展阶段,并对比给出了每个阶段的技术特点和先进性;机器学习方面,总结了在优化模型、优化算法、辅助控制手段等方向的最新研究成果,阐明了每个研究方向面临的难题和未来的研究思路;云系统方面,从石油开采、地质勘探、煤矿井下钻探3个方向探讨了最新发展情况。结合当前应用条件,综合评述了3种钻进工况参数智能控制方法的优缺点,分析了当前智能钻进存在的控制手段单一、多功能拓展应用不足等问题,从技术延展、控制闭环、策略多元、体系统一等角度对煤矿井下钻进工况参数智能控制与煤矿智能化建设深度融合应用提出了展望,为基于多信息融合的自适应钻进技术研究提供理论支撑。The construction of intelligent coal mine and high-yield and high-efficiency mine puts forward higher requirements for intelligent technology of underground drilling in coal mine.This study reviews the evolution of intelligent drilling technology in underground coal mines,noting that after four development stages,namely underground remote manual control,surface remote manual control,surface remote automatic control and dual-mode automatic control,underground coal mine drilling technology is now in the intelligent drilling exploration stage.Based on expert database,machine learning and cloud system,this study summarizes the development of intelligent control technology of drilling condition parameters,which is the key core technology of intelligent underground drilling in coal mine.Regarding expert database method,it explores their primary applications in mining and outlines four developmental stages after their introduction to intelligent drilling,comparing the technical characteristics and advancements at each stage.In terms of machine learning,it summarizes the latest research achievements in model optimization,algorithm enhancement,and auxiliary control methods,clarifying the challenges and future research directions in each area.Concerning cloud systems,the study discusses the latest developments in oil extraction,geological exploration,and underground coal mine drilling.Considering current application conditions,the advantages and disadvantages of three kinds of intelligent control methods for drilling conditions are reviewed,and the problems of single control means and insufficient application of multi-function in intelligent drilling are analyzed.From the perspectives of technology extension,closed-loop control,multiple strategies and unified system,the deep integration application of intelligent control of working condition parameters and intelligent construction of coal mine is proposed,which provides theoretical support for the research of adaptive drilling technology based on multi-information fusion.

关 键 词：智能化钻进 钻进工况参数 智能控制 专家数据库 机器学习 云系统 

分 类 号：TD41[矿业工程—矿山机电] TD823TD166