煤矿安全2019，Vol.50Issue(6)：24-27,31,5.DOI:10.13347/j.cnki.mkaq.2019.06.006
基于K线图理论的瓦斯异常模式诊断研究
Research on Gas Abnormal Mode Diagnosis Based on K-line Theory
摘要
Abstract
The gas anomaly pattern is studied from the angle of K-graph, at the same time, the abnormal mode of gas monitoring data is summed up. It is concluded that the coal and gas outburst is a big positive line, and the gas emission after the gun is two and three times positive. According to this, the diagnosis criterion of abnormal K-line of gas is established and the VB.NET programming language is used to compile the diagnosis program of abnormal K-line of gas. Through the mixed diagnosis of the abnormal K-line of gas in 105 different mines, the result shows that the accuracy rate is 93.33% and the universality is strong.关键词
K线图理论/K线形态/矿井瓦斯监测数据/瓦斯异常模式/异常诊断/诊断准则Key words
K-line diagram theory/K-line form/mine gas monitoring data/gas abnormal mode/abnormal diagnosis/diagnostic criteria分类
矿业与冶金引用本文复制引用
WEI Lianjiang,HU Qingwei,LIANG Wei,REN Fei..基于K线图理论的瓦斯异常模式诊断研究[J].煤矿安全,2019,50(6):24-27,31,5.基金项目
国家重点研发计划资助项目(2016YFC0801800) （2016YFC0801800）
