瓦斯灾害仍然是我国深部煤矿开采的主要灾害，随着采深及开采强度的加大，危险性日趋严重。瓦斯灾害影响因素及耦合关系非常复杂，灾害事故时有发生。基于安全监测大数据进行瓦斯灾害和风险隐患一体化分析预警已成为煤矿安全管理、监管和监察的迫切需求。分析了瓦斯灾害与风险隐患的大数据特征，提出了基于安全监测大数据的瓦斯灾害风险隐患识别与突出危险性预警方法，研发了煤矿瓦斯灾害风险隐患大数据监测预警云平台，实现了动态信息资源“一张图”，并进行验证和应用。通过集成和挖掘分析所有相关实时数据、变化趋势及耦合关系实现了煤矿瓦斯灾害风险隐患大数据监测、自动识别、预警和结果分级推送等。

Gas disasters are still the main disasters during deep coal mining in China. With the increase of mining depth and mining intensity, the gas disasters are becoming more serious and happen occasionally, owing to the complex coupling relationship between the inducing factors of gas disasters. Therefore, integrated analysis and early warning of potential risks of gas disasters, based on monitoring big data, have become urgent demands for coal mine safety management and supervision. In this paper, the big data characteristics of the potential risks for gas disasters were analyzed and the early warning methods were put forward. Additionally, the big data monitoring and early warning cloud platform for gas disasters, which can display the monitoring and early warning information in “one picture” timely, was developed and applied in coalmines. Besides, through the in-depth analysis of all relevant real-time data, variation tendency and their relationship, the platform can also realize that the big data monitoring, automatic identification, early warning and SMS sending of results for gas disasters.

0 引言

1 煤矿瓦斯灾害风险隐患类型及特征分析

   1.1 瓦斯灾害类型及特征

   1.2 瓦斯灾害风险隐患类型

   1.3 瓦斯灾害风险隐患特征及识别方法

2 煤矿瓦斯灾害风险隐患大数据监测预警云平台

   2.1 云平台构建

   2.2 云平台功能

   2.3 云平台应用

3 结论