基于监测数据关联分析的瓦斯浓度预警方法  

Pre-warning method of gas concentration based on correlation analysis of monitoring data

作　　者：董丁稳[1,2] 屈世甲 王红刚[1,2] 

机构地区：[1]西安科技大学能源学院,陕西西安710054 [2]西安科技大学教育部西部矿井开采及灾害防治重点实验室,陕西西安710054 [3]天地(常州)自动化股份有限公司,江苏常州213015

出　　处：《工矿自动化》2015年第6期1-5,共5页Journal Of Mine Automation

基　　金：国家自然科学基金资助项目(51104116);西安科技大学博士启动基金资助项目(2012QDJ030)

摘　　要：提出了一种基于监测数据关联分析的瓦斯浓度预警方法。以矿井瓦斯监测数据为研究对象,分析其统计特征,利用灰色关联分析方法研究瓦斯监测数据构成的时间序列的内在关联特征,并在此基础上确定基于实时监测数据的瓦斯浓度预警指标及其预警阈值,进而分析瓦斯浓度异常情况,划分预警等级,实现动态、量化预警。实例分析表明该方法对于现场的单一测点瓦斯浓度预警具有较好的适用性,可为煤矿日常安全管理提供有效的决策依据。A pre-warning method of gas concentration based on correlation analysis of monitoring data was proposed. Firstly, statistical characteristic of mine gas monitoring data is analyzed, intrinsic correlation characteristic of time series consisted by the gas monitoring data is researched by use of grey correlation analysis method. Further, pre-warning index and pre-warning threshold are determined based on real-time monitoring data. Then abnormal situation of gas concentration is analyzed and pre-warning level is divided, so as to realize dynamic and quantitative pre-warning. The case analysis shows that the method is applicability for gas concentration pre-warning of single monitoring site, which can provide effective decision basis for daily safety management of coal mine.

关 键 词：瓦斯浓度 预警 监测数据 灰色关联分析 

分 类 号：TD712[矿业工程—矿井通风与安全]