大数据时代煤矿安全风险治理模式研究
Research on coal mine safety risk management model in the era of big data
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摘要: 为解决煤矿安全风险传统治理模式风险识别速度慢、控制精准度低等问题，在深入分析现有治理模式基础上，将风险防范与应急处置引入煤矿安全风险治理模式；首先，基于灾害成因理论与全生命周期理论，将煤矿安全风险治理解构为3个标准环节，即风险形成、风险发展和风险衰退；其次，根据3个标准环节的风险性质，引入相应的治理手段进行对应分析，包括风险识别、风险管控和应急措施；最后，紧扣煤矿风险因素，结合大数据技术，构建以“数据感知-数据分析-数据服务”为一体化的煤矿安全风险治理模式。结果表明：该治理模式能够有效提升煤矿风险识别速率及治理效能，同时有利于完善煤矿安全治理体系建设。Abstract: In order to solve the problems of slow risk identification and low accuracy of control in the traditional management model of coal mine safety risk, risk prevention and emergency response are introduced into the coal mine safety risk management model based on the in-depth analysis of the existing management model. Firstly, based on the theory of disaster causation and the whole life cycle theory, the coal mine safety risk management is deconstructed into three standard links, namely risk formation, risk development and risk decline. Secondly, according to the nature of risks in the three standard aspects, corresponding management tools are introduced for corresponding analysis, including risk identification, risk control and emergency measures. Finally, the risk management model of coal mine safety, which is integrated with “data perception-data analysis-data service”, is built by focusing on coal mine risk factors and combining with big data technology. The results show that this management model can effectively improve the identification rate, guarantee the safety of coal mine system, and improve the construction of coal mine safety management system.
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Keywords:
- big data /
- coal mine safety /
- risk management model /
- emergency measure /
- intelligent mine
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