山东科学 ›› 2017, Vol. 30 ›› Issue (3): 110-116.doi: 10.3976/j.issn.1002-4026.2017.03.019

• 其他研究论文 • 上一篇    

基于贝叶斯网络的电力施工安全承载能力评估

来骏1, 陈蕾2   

  1. 1.国家电网浙江省电力公司湖州供电公司,浙江 湖州313000;2.国家电网浙江省电力公司,浙江 杭州310007
  • 收稿日期:2016-08-26 出版日期:2017-06-20 发布日期:2017-06-20
  • 作者简介:来骏(1981—),男,工学硕士,研究方向为电力系统自动化和电力安全管理。E-mail:laijun_huzhou@qq.com
  • 基金资助:

    浙江省电力公司科技计划(5211UZ15007V)

Bayesian network based evaluation of the safety bearing capacity of power construction

LAI Jun1, CHEN Lei2   

  1. 1.Huzhou Power Supply Company, Zhejiang Electric Power Co.Ltd, State Grid, Huzhou 313000, China;
     2.Zhejiang Electric Power Co.Ltd, State Grid, Hangzhou 310007, China
  • Received:2016-08-26 Online:2017-06-20 Published:2017-06-20

摘要:

提出了基于贝叶斯网络的动态承载能力评估模型。通过对承载能力风险要素的识别和评估,构建了贝叶斯网络结构和参数,在此基础上对电力施工安全承载能力进行了风险评估和诊断。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施工安全承载能力估计的需求。

关键词: 风险评估, 安全承载能力, 贝叶斯网络, 电力施工

Abstract:

The Bayesian network based dynamic evaluating model for safety bearing capacity was put forward.Bayesian network structure and parameters were built based on the identification and assessment of risk factors which may have effects on the safety bearing capacity. Furthermore, the risk assessment and risk diagnosis of the safety bearing capacity of power construction were carried out. Finally, the risk was controlled based on the analytical results. This system can meet the needs of evaluating the safety bearing capacity of power construction.

Key words: Bayesian network, power construction, safety bearing capacity, risk assessment

中图分类号: 

  • TM76

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