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基于贝叶斯网络的电力企业安全生产风险管控系统
引用本文:章伟林,张学东.基于贝叶斯网络的电力企业安全生产风险管控系统[J].计算机系统应用,2017,26(3):102-107.
作者姓名:章伟林  张学东
作者单位:国家电网浙江省电力公司, 杭州 310007,国家电网浙江省电力公司, 杭州 310007
基金项目:浙江省电力公司科技计划(5211UZ15007V)
摘    要:分析了建立电力企业安全生产风险管控系统的必要性和设计框架,并提出了基于贝叶斯网络的动态风险评估模型.通过对风险因素的识别和评估,构建了贝叶斯网络结构和参数,在此基础上对安全生产风险进行了风险评估、风险诊断.最后,依据分析得到的结果进行风险控制.该系统可以满足电力企业安全生产风险管控的需求.

关 键 词:贝叶斯网络  安全生产  风险评估  风险管控
收稿时间:2016/7/4 0:00:00
修稿时间:2016/9/1 0:00:00

Safety Production Risk Management and Control System of Electricity Production Enterprise Based on Bayesian Networks
ZHANG Wei-Lin and ZHANG Xue-Dong.Safety Production Risk Management and Control System of Electricity Production Enterprise Based on Bayesian Networks[J].Computer Systems& Applications,2017,26(3):102-107.
Authors:ZHANG Wei-Lin and ZHANG Xue-Dong
Affiliation:Zhejiang Electric Power Co. Ltd., State Grid, Hangzhou 310007, China and Zhejiang Electric Power Co. Ltd., State Grid, Hangzhou 310007, China
Abstract:The necessity of constructing risk management and control system for safety production in electricity production enterprise is analyzed, and the design framework of the system is introduced. The dynamic risk management model based on Bayesian network is put forward. Bayesian network structure and parameters are also built after risk factors identification and evaluation. Based on these, the risk assessment and risk diagnostic for safety production are carried out. Finally, the risk is controlled in accordance with the result. This system could meet the needs of safety supervision and management in electricity production enterprise.
Keywords:words:Bayesian network  safety production  risk assessment  risk control
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