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煤与瓦斯突出远程智能监测预警系统研究

邱黎明 李忠辉 王恩元 刘贞堂 张酉年 夏善奎

工矿自动化2018,Vol.44Issue(1):17-21,5.
工矿自动化2018,Vol.44Issue(1):17-21,5.DOI:10.13272/j.issn.1671-251x.17276

煤与瓦斯突出远程智能监测预警系统研究

Research on remote intelligent monitoring and early warning system for coal and gas outburst

邱黎明 1李忠辉 2王恩元 3刘贞堂 1张酉年 3夏善奎4

作者信息

  • 1. 中国矿业大学煤矿瓦斯与火灾防治教育部重点实验室,江苏徐州 221116
  • 2. 湖南科技大学煤矿安全开采技术湖南省重点实验室,湖南湘潭 411201
  • 3. 中国矿业大学安全工程学院,江苏徐州 221116
  • 4. 中国矿业大学煤矿瓦斯治理国家工程研究中心,江苏徐州 221116
  • 折叠

摘要

Abstract

For the demand of automation and accuracy of coal and gas outburst early warning,a remote intelligent monitoring and warning system for coal and gas outburst was developed.The system constitution was introduced as well as key technologies including signal monitoring,interference recognition,signal transmission and early warning rules.The system takes sound acoustic emission,electromagnetic radiation and gas concentration as early warning indexes,and realizes remote monitoring and comprehensive early warning of sound acoustic emission,electromagnetic radiation and gas signals during outburst evolution process.Meanwhile,the system can automatically recognize and filter interference signals according to opening or stopping information of electromechanical equipments,so as to improve early warning accuracy of coal and gas outburst.The application result shows the system has high early warning accuracy,which can capture coal and gas outburst risk information in advance of 8-24 hours.

关键词

煤炭开采/煤与瓦斯突出/突出监测预警/多指标综合预警/声发射/电磁辐射/瓦斯浓度/干扰识别

Key words

coal mining/coal and gas outburst/outburst monitoring and early warning/comprehensive early warning of multi indexes/sound acoustic emission/electromagnetic radiation/gas concentration/interference recognition

分类

矿业与冶金

引用本文复制引用

邱黎明,李忠辉,王恩元,刘贞堂,张酉年,夏善奎..煤与瓦斯突出远程智能监测预警系统研究[J].工矿自动化,2018,44(1):17-21,5.

基金项目

国家重点研发计划资助项目(2016YFC0801404) (2016YFC0801404)

煤矿安全开采技术湖南省重点实验室(湖南科技大学)开放基金资助项目(E21732). (湖南科技大学)

工矿自动化

OA北大核心CSTPCD

1671-251X

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