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煤与瓦斯突出预测多元数据可视化系统构建与应用 被引量:3

Construction and application of multivariate data visualization system for coal and gas outburst prediction
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摘要 针对现有煤与突出预测方法存在可视化程度低、突出预测准确性和实时性不高等问题,以新元煤矿为试验矿井,构建了煤与瓦斯突出预测多元数据可视化系统。该系统通过物探、钻探等方式及WTC瓦斯突出参数仪、安全监控系统、专用数据采集仪获取突出预测所涉及的基础数据,通过井下工业环网和地面办公网实现突出预测数据的传输;采用涵盖突出危险性时空演化关系的区域总体把控、局部在线辨识两级预测方法,通过深度挖掘煤与瓦斯突出预测多元数据,使杂乱的原始数据变得有序,为数据可视化奠定基础;通过基于WebGIS的突出预测综合可视化平台对区域预测和局部预测子系统的数据进行有效融合,实现对预测结果及多元数据的直观展示,使突出预测过程可控、结果可查。应用结果表明,该系统改变了新元煤矿突出预测指标单一、不连续的现状,显著提高了矿井煤与瓦斯突出预测准确性与实时性。 In view of problems of low visualization degree,low outburst prediction accuracy and low real-time performance in existing coal and outburst prediction methods,a multivariate data visualization system for coal and gas outburst prediction is constructed taking Xinyuan Coal Mine as a test mine.The system obtains basic data involved in outburst prediction through the ways of geophysical exploration,drilling,etc.and WTC gas outburst parameter meter,safety monitoring system,and special data acquisition instrument,and transmits the outburst prediction data through underground industrial ring network and ground office network;two-level prediction method of regional overall control and local online identification covering the spatio-temporal evolution relationship of outburst danger is adopted,so that the messy original data becomes orderly through deep mining of multivariate data of coal and gas outburst,laying the foundation for data visualization;the data of regional prediction subsystem and local prediction subsystem is effectively fused through integrated visualization platform of outburst prediction based on WebGIS to realize intuitive display of prediction results and multivariate data,so that the outburst prediction process can be controlled and the results can be checked.The application results show that the system changes the single and discontinuous status of outburst prediction index of Xinyuan Coal Mine,and significantly improves the accuracy and real-time performance of coal and gas outburst prediction.
作者 蒲阳 宋志强 宁小亮 PU Yang;SONG Zhiqiang;NING Xiaoliang(State Key Laboratory of the Gas Disaster Detecting,Preventing and Emergency Controlling,Chongqing 400037,China;CCTEG Chongqing Research Institute,Chongqing 400037,China)
出处 《工矿自动化》 北大核心 2020年第7期64-69,共6页 Journal Of Mine Automation
基金 国家重点研发计划资助项目(2018YFC0808305)。
关键词 煤与瓦斯突出 突出预测 多元数据 可视化 区域预测 局部预测 数据挖掘 coal and gas outburst outburst prediction multivariate data visualization regional prediction local prediction data mining
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