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煤矿井下自动化钻探技术概况与智能化发展前瞻 被引量:10

Overview of automatic drilling technology in underground coal mine and prospect of intelligent development
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摘要 为探索煤矿智能化钻探技术与装备的发展前景与路径,回顾了煤矿井下自动化钻探技术发展所经历井下远距离手动控制阶段、地面远距离手动控制阶段、地面远距离自动控制阶段、双模式远距离自动控制等5个阶段,总结了各个阶段所取得的成果和存在的缺点。从现场应用、功能需求等方面展望了智能化钻探技术的发展趋势,提出了工况智能感知、控制参数智能调节、工况参数智能分析以及集群控制等主要研究方向,为智能化钻探技术的进一步发展奠定了初步的技术基础。从技术开发、科研立项、推广应用、转变观念等方面指出了政策引导的重要性,提出了产、学、研、政多级、多方联动的必要性。 In order to explore the development prospect and path of intelligent drilling technology and equipment in coal mine,the 5 phases of automatic drilling technology in underground coal mine are traced back,which includes underground remote manual control,ground remote manual control,ground remote automatic control,the first and the second phases of dual mode remote automatic control.Meanwhile,the achievements and shortcomings of each stage are summarized.The development trend of the intelligent drilling technology is prospected from the aspects of field application and function demand.The main research directions such as intelligent perception of operating conditions,intelligent regulation of control parameters,intelligent analysis of operating parameters and cluster control are put forward.As a result,a preliminary technical foundation has been laid for further development of intelligent drilling technology.Not only the importance of policy guidance is pointed out from the aspects of technology development,scientific research project establishment,popularization and application and concept change,but also the necessity of multi-level and multi-dimensional linkage of production,study,research and administration is put forward.
作者 王清峰 辛德忠 陈航 WANG Qingfeng;XIN Dezhong;CHEN Hang(Chongqing Research Institute,China Coal Technology Engineering Group;National Laboratory of Gas Disaster Preventing and Emergency Controlling;Chongqing Mining Intelligent Drilling Engineering Technology Research Center)
出处 《智能矿山》 2020年第1期71-77,共7页 Journal of Intelligent Mine
基金 国家重点研发计划资助项目(2018YFC0808000) 重庆市“科技创新领军人才支持计划”资助项目(CSTCCXLJRC201709)。
关键词 煤矿智能化 钻探 智能感知 智能调节 智能分析 集群控制 coal mine intelligent drilling intelligent sense intelligent adjustment intelligent analysis cluster control
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