基于BN-PHA的煤矿提升运输系统风险分析

为系统化地分析煤矿提升运输系统事故,提出了一种基于贝叶斯网络融合预先危险性分析(BN-PHA)的风险分析方法.首先借助GeNle软件构建提升运输系统的风险贝叶斯网络结构,利用其双向推理能力识别最易造成运输事故的贝叶斯风险节点;然后对事故节点进行预先危险性分析,分析事故的起因、 可能造成的结果,提出相应的整改措施.结果表...

Risk analysis of coal mine hoisting and transportation system based on BN-PHA

In order to systematically analyze the accidents of coal mine hoisting and transportation system, a risk analysis method based on Bayesian network and pre-hazard analysis (BN-PHA) is proposed. Firstly, Using GeNle software, the risk Bayesian network structure of the transportation system is constructed, and its two-way reasoning ability is used to identify the Bayesian risk nodes that are most likely to cause transportation accidents. Then, the risk of the accident nodes is analyzed in advance, the causes and possible results of the accident are analyzed, and the corresponding rectification measures are put forward. The results show that: illegal traffic, signal device failure, illegal driving, overweight and overspeed and connector failure are the most likely risk factors causing coal mine lifting transportation accidents, and the countermeasures to prevent these risks are put forward to provide reference for the safe and effective operation of coal mine transportation system.