Research on Risk Management of Construction Safety based on Bayesian Network

Y. Wan-jun, Zi Jing-Yan
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Abstract

In order to solve the shortcomings of existing building construction risk management methods in dealing with uncertainty, a construction risk management analysis method based on Bayesian network (BN) theory is proposed. Firstly, based on management experts decision-making methods, the main factors affecting construction risk management are determined, and the security risk Bayesian network topology is constructed. Then use Bayesian network forward reasoning to predict the probability of construction risk in different situations, and analyze the cause of risk by combining backward reasoning. Finally, a sensitivity analysis based on the mutual information index method was used to identify the sensitive risk factors. Combining with the historical data of domestic construction projects, this method is applied to the practice of construction project safety risk management. The results show that the construction risk probability is 3.36%; It is the biggest risk factor that the safety risk existing is not solved timely in construction.
基于贝叶斯网络的建筑安全风险管理研究
为了解决现有建筑施工风险管理方法在处理不确定性方面的不足,提出了一种基于贝叶斯网络(BN)理论的建筑施工风险管理分析方法。首先,基于管理专家的决策方法,确定了影响施工风险管理的主要因素,构建了安全风险贝叶斯网络拓扑;然后利用贝叶斯网络前向推理预测不同情况下施工风险发生的概率,并结合后向推理分析风险产生的原因。最后,采用互信息指数法进行敏感性分析,识别出敏感风险因素。结合国内建设项目的历史数据,将该方法应用于建设项目安全风险管理的实践。结果表明:施工风险概率为3.36%;施工中存在的安全隐患不及时解决是最大的风险因素。
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