摘要
本文总结了煤与瓦斯突出预警研究现状,介绍了煤与瓦斯突出大数据预警技术与传统预警方法的区别,分析大数据预警技术的数据特征。在此基础上,以安全系统理论、煤与瓦斯突出机理、事故案例为指导,构建煤与瓦斯突出大数据预警动态指标体系,该体系包括地质动力、采掘扰动、实时预兆显现、防突措施和地理信息共5个一级指标。并在此基础上提出由数据采集层、数据集成层、数据分析层、数据服务层和数据交付层5个部分组成煤与瓦斯突出大数据预警架构,为实现煤与瓦斯突出准确、快速预警提供支撑。
This paper summarizes the research status of coal and gas outburst warning,and introduces the difference of warning method between big data warning technology of coal and gas outburst and the traditional,and analyzes the data characteristics of big data warning technology.Based on the safety system theory,the coal and gas outburst mechanism and the accident case,the big data early-warning dynamic index system for coal and gas outburst is constructed,which including 5 first level indicators,such as geological power,mining disturbance,real-time warning,anti-outburst measures and geographical information.The coal and gas outburst big data early-warning architecture is proposed,which consists of 5 parts:data acquisition layer,data integration layer,data analysis layer,data service layer and data delivery layer,providing support for the accurate and rapid early warning of coal and gas outburst.
作者
陈本良
毕波
杨维
CHEN Benliang;BI Bo;YANG Wei(Huainan Mining Industry(Group)Co.,Ltd.,Huainan 232001,China;National Engineering Research Centre for Coal Gas Control,Huainan 232033,China)
出处
《陕西煤炭》
2023年第6期78-82,共5页
Shaanxi Coal
基金
国家重点研发计划项目(2016YFC0801402)
国家自然科学基金项目(51427804)。
关键词
煤与瓦斯突出
事故预警
大数据技术
指标体系
数据结构
coal and gas outburst
accident early warning
big data technology
index system
data structure
