基于统计分析的矿井瓦斯灾害预警技术研究  

Research on Early Warning Technology of Mine Gas Disaster Based on Statistical Analysis

作　　者：牛嘉野军 Niu Jiayejun(Shanxi Xishan Jincheng Construction Co.,Ltd.,Shanxi Taiyuan 030053)

机构地区：[1]山西西山金城建筑有限公司,山西太原030053

出　　处：《山东煤炭科技》2021年第2期190-193,共4页Shandong Coal Science and Technology

摘　　要：通过对48组煤矿掘进工作面瓦斯浓度监测数据的统计分析,发现瓦斯监测数据时间序列基本符合正态分布。利用数据分析软件,可以将瓦斯浓度数据是否符合正态分布作为瓦斯灾害的预警指标,并对瓦斯浓度异常特征值进行实例分析。该方法对预防瓦斯灾害具有重要意义。Through the statistical analysis of gas concentration monitoring data of 48 groups of coal mine driving face,it is found that the time series of gas monitoring data basically accord with normal distribution.Using the data analysis software,whether the gas concentration data accords with the normal distribution can be used as the warning index of gas disaster,and the abnormal characteristic value of gas concentration can be analyzed by example.This method is of great significance for the prevention of gas disasters.

关 键 词：瓦斯预警 统计分析 正态分布 

分 类 号：TD712[矿业工程—矿井通风与安全]