Analysis of Falling Accident Causes Based on Apriori Algorithm and Bayesian Network
The accident cause analysis based on association rule algorithm and Bayesian network is carried out to address the falling accident hazards in building construction.Firstly,131 reports of falling accidents in building construction from the year 2018-2022 are statistically analyzed,from which 24 factors leading to accidents were ex-tracted.Secondly,Apriori algorithm is used to explore the strong association rules among these factors to suggest their intrinsic connections,and a Bayesian network model of falling accidents is constructed by combining expert experience.Then,the high-frequency factors are identified based on the statistical frequency analysis data,while the critical paths and high sensitivity factors of accidents are identified with the help of Genie software for backward inference and sensitivity analysis of this Bayesian network.
国家科技期刊平台
NSTL
万方数据
