摘要
为了在煤矿智能化综采工作面远程控制过程中实时、准确、直观地掌握工作面信息,消除监控死角,提出了基于时态地理信息系统(TGIS)的数字孪生智能综采工作面构建方法,实现与真实工作面之间的工作仿真、分析预测和实时交互。阐述了基于TGIS的数字孪生智能综采工作面构建技术体系,从数化、互动、先知、先决和共智5个方面说明了基于TGIS的数字孪生智能综采工作面成熟度模型的生长发育过程,并简要介绍了数字孪生智能综采工作面的建设路线,以国家能源集团宁夏煤业有限责任公司金凤煤矿数字孪生智能综采工作面为例介绍了数字孪生智能综采工作面的构建方法,对智能工作面、透明化工作面建设具有积极意义。
In order to timely,accurately,and intuitively obtain the information of the working face in the remote control process of the intelligent fully mechanized mining face in coal mines,and eliminate the monitoring blind space,a digital twin intelligent fully mechanized mining face construction method based on temporal geographic information system(TGIS)is proposed to achieve process simulation,analysis,prediction,and real-time interaction with the real working face.This paper elaborates on the construction technology system of digital twin intelligent fully mechanized mining face based on TGIS,and explains the growth and development process of the maturity model of digital twin intelligent fully mechanized mining face based on TGIS from five aspects:digitization,interaction,prophecy,prerequisite,and shared intelligence,briefly introduces the construction route of digital twin intelligent fully mechanized mining face,and introduces the construction method of the digital twin intelligent fully mechanized mining face by taking the digital twin intelligent comprehensive mining face of Jinfeng Coal Mine of China Energy Ningxia Coal Industry Co.,Ltd.as an example,which has positive significance for the construction of intelligent working faces and transparent working faces.
作者
杨海军
张弘
查学刚
董佳
王添
YANG Haijun;ZHANG Hong;CHA Xuegang;DONG Jia;WANG Tian(China Energy Ningxia Coal Industry Co.,Ltd.,Yinchuan,Ningxia 750011,China;Beijing Longruan Technologies Co.,Ltd.,Haidian,Beijing 100190,China;Jinfeng Coal Mine,China Energy Ningxia Coal Industry Co.,Ltd.,Wuzhong,Ningxia 751504,China)
出处
《中国煤炭》
2023年第11期63-70,共8页
China Coal
关键词
数字孪生
智能综采工作面
时态地理信息系统
透明工作面
仿真模拟
digital twin
intelligent fully mechanized mining face
TGIS
transparent chemical working face
simulation