煤矿安全管理“自学习”体系建设研究  

Research on“Self-learning”System Construction of Coal Mine Safety Management

作　　者：王海军[1] 王诗珺 WANG Haijun;WANG Shijun(Shenhua Shendong Coud Group Co.,Ltd.,Shenmu 719315,China;China Coal Research Institute Company of Energy Conservation,Beijing 100013,China)

机构地区：[1]神华神东煤炭集团有限责任公司,陕西神木719315 [2]煤科院节能技术有限公司,北京100013

出　　处：《煤矿安全》2020年第5期249-251,256,共4页Safety in Coal Mines

基　　金：国家重点研发计划资助项目(2018YFC0808304)。

摘　　要：煤矿安全生产管理过程中,目前存在危险源违规操作、不能实时预警、管理人员自由裁量权过大、奖惩缺乏可信电子证据链等的问题,从建立多特征融合危险源识别的实时跟踪处理系统、危险源及操作人员异常状况检测预警处理系统、形成安全管理奖惩可信电子证据链、安全管理大数据分析平台、安全管理"自学习"体系平台系统等5个途径,研究探讨煤矿企业在井下基于"自学习"的安全管理体系建设,完善具有正向激励机制导向的煤矿安全管理体系。In the process of coal mine safety production management, there are some problems, such as illegal operation of hazard sources, failure of real-time early warning, excessive discretion of managers, lack of credible electronic evidence chain for rewards and punishments. This paper mainly establishes a real-time tracking and processing system for hazard sources identification based on multi-feature fusion, hazard sources and abnormal conditions of operators. This paper studies and discusses the construction of safety management system based on"self-learning"in underground coal mine enterprises, and perfects the coal mine with positive incentive mechanism-oriented through five ways: condition detection and early warning processing system, formation of credible electronic evidence chain for safety management rewards and punishments, safety management big data analysis platform and safety management"self-learning"platform system.

关 键 词：煤矿安全 自学习 实时跟踪 异常检测预警 可信电子证据链 大数据 激励机制 

分 类 号：TD791[矿业工程—矿井通风与安全]