陕西煤炭2024，Vol.43Issue(7)：152-155,161,5.DOI:10.20120/j.cnki.issn.1671-749x.2024.0729
基于FOA-RF模型下煤与瓦斯突出智能预警系统研究
Intelligent early warning system for coal and gas outburst based on FOA-RF model
张清清1
作者信息
- 1. 中煤科工集团沈阳研究院有限公司,辽宁抚顺 113122||煤矿安全技术国家重点实验室,辽宁抚顺 113122
- 折叠
摘要
Abstract
To improve the coal and gas outburst early warning accuracy and intelligent degree of working face,taking the 11301 tunneling working face of a mine in Lvliang city,Shanxi province as the research background,an intelligent coal and gas outburst prediction model using big data mining algorithm is built based on FOA-RF.The coal and gas outburst danger-ous state of working face is real-time monitored using seismic and infrared methane sensor.The intelligent warning system of coal and gas outburst is designed and developed,which is applied to 11301 tunneling working surface for outburst dangerous warning.The application results show that:the training accuracy of the intelligent prediction model is 99.59％,and the pre-diction accuracy is 94.57％.The established early warning system can perform the visual analysis and management of real-time warning index data,and the early warning results are basically consistent with the actual outburst state of the working face.关键词
随机森林算法/果蝇算法/煤与瓦斯突出/智能预警系统Key words
random forest algorithm/fruit flies algorithm/coal and gas outburst/intelligent early warning system分类
矿业与冶金引用本文复制引用
张清清..基于FOA-RF模型下煤与瓦斯突出智能预警系统研究[J].陕西煤炭,2024,43(7):152-155,161,5.
