基于数字孪生技术的大型煤矿远程智能监控研究  被引量:4

Research on Remote Intelligent Monitoring of Large Coal Mines Based on Digital Twin Technology

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作  者:李伟 叶鸥 刘辉 黄天尘 LI Wei;YE Ou;LIU Hui;HUANG Tianchen(Shaanxi Erlin Rabbit No.1 Coal Mine Co.,Ltd.,Yulin 719000,China;Xi'an University of Science and Technology,College of Computer Science&Technologya,Xi'an 710000,China;Shaanxi Yongxin Mining Co.,Ltd.,Yulin 719000,China)

机构地区:[1]陕西陕煤尔林兔一号煤矿有限公司,陕西榆林719000 [2]西安科技大学计算机科学与技术学院,西安710000 [3]陕西涌鑫矿业有限责任公司,陕西榆林719000

出  处:《计算机测量与控制》2023年第11期204-211,共8页Computer Measurement &Control

基  金:国家自然科学基金项目(61501285)。

摘  要:为了保证大型煤矿开采工作的安全性与质量,利用数字孪生技术优化设计大型煤矿远程智能监控方法;利用数字孪生技术构建大型煤矿虚拟模型,在该模型下确定测点位置,远程采集大型煤矿实时运行数据;通过对数据特征的提取与匹配,从煤矿开挖设备和施工环境两个方面,监测大型煤矿运行状态;改装大型煤矿远程智能控制器,以运行状态的监测结果作为控制程序的启动条件,实现对大型煤矿的远程智能监控任务;通过与传统监控方法的对比得出结论:优化设计方法对煤矿开挖设备的监控性能明显升高,对环境中瓦斯浓度和温度的监测误差分别降低了0.34%和0.19℃,控制误差分别降低0.09%和0.145℃,同时监控范围扩大27.4%。In order to ensure the safety and quality of large-scale coal mining work,digital twin technology is used to optimize the design of remote intelligent monitoring methods for large-scale coal mines.Using the digital twin technology to construct a virtual model of the large-scale coal mines,determine the location of measurement points under this model,and remotely collect the real-time operational data of the large-scale coal mines.By extracting and matching data features,monitoring the operation status of the large-scale coal mines from two aspects:mining equipment and construction environment.Retrofitting a remote intelligent controller for the large-scale coal mines,the monitoring results of operating status is taken as the starting condition for control program,to realize remote intelligent monitoring tasks for the large-scale coal mines.By comparing with traditional monitoring methods,it can be concluded that the optimized design method significantly improves the monitoring performance of coal mining excavation equipment,reduces the monitoring errors of gas concentration and temperature in the environment by 0.34%and 0.19℃,respectively,and reduces the control errors by 0.09%and 0.145℃,respectively.At the same time,the monitoring range is expanded by 27.4%.

关 键 词:数字孪生技术 大型煤矿 远程智能监控 

分 类 号:TP393[自动化与计算机技术—计算机应用技术]

 

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