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作 者:朱紫阳 王文钰[2] 田猛[1] 王先培[1] ZHU Ziyang;WANG Wenyu;TIAN Meng;WANG Xianpei(Electronic Information School,Wuhan University,Wuhan Hubei 430072,China;Institute of Development and Educational Psychology,Wuhan University,Wuhan Hubei 430072,China)
机构地区:[1]武汉大学电子信息学院,湖北武汉430072 [2]武汉大学发展与教育心理研究所,湖北武汉430072
出 处:《中国安全生产科学技术》2022年第11期203-208,共6页Journal of Safety Science and Technology
基 金:国家自然科学基金项目(52177109,51707135)。
摘 要:为分析变电站中操作不安全行为的核心影响因素,基于国家电网某省变电站员工安全心理自评数据,运用心理学模型确定9种主要心理维度,融合Bayesian Search和Peter Clark(PC)算法,并使用专家知识修正以训练贝叶斯网络模型结构,应用Expectation Maximization(EM)算法训练模型参数,并运用Mutual Information(MI)和预测推理2种方法分析核心影响因素。研究结果表明:训练模型的预测错误率为14.8%,AUC为0.9458,变电站操作不安全行为的核心影响因素为情绪稳定性和心理承受力。In order to analyze the core influencing factors of unsafe operation behavior in the substations,based on the psychological self-assessment data of substation employees in a certain province of the State Grid,firstly,nine main psychological dimensions were determined by using the psychological models.Then the integration of Bayesian Search algorithm,Peter Clark(PC)algorithm and expert knowledge correction was used to train the model structure of Bayesian network.The Expectation Maximization(EM)algorithm was used to train the model parameters,and two methods named Mutual Information(MI)and predictive inference were used to analyze the core influencing factors.The results showed that the prediction error rate of the training model was 14.8%,and the AUC was 0.9458.The core influencing factors of unsafe operation behavior in the substation were the emotional stability and psychological endurance.
关 键 词:变电站 不安全行为 安全心理 贝叶斯网络 灵敏度分析
分 类 号:X911[环境科学与工程—安全科学] TM732[电气工程—电力系统及自动化]
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