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

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.