基于动态贝叶斯网络的作业现场风险精细化控制方法  

Refinement Control of Job Site Risk Based on Dynamic Bayesian Network

作　　者：吴金珠 王天师 WU Jin-zhu;WANG Tian-shi(Zhongshan Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Zhongshan 528400 China)

机构地区：[1]广东电网有限责任公司中山供电局,广东中山528400

出　　处：《自动化技术与应用》2024年第8期87-90,153,共5页Techniques of Automation and Applications

摘　　要：为了降低作业现场风险,维护作业现场人员的生命财产安全,提出基于动态贝叶斯网络的作业现场风险精细化控制的方法。通过分析动态贝叶斯网络的基本结构,建立评估作业现场风险的动态贝叶斯网络模型;将风险精细化评估结果投射至三维空间的项目集合体中;通过垂直交叉作业双向安全控制机制调节三个方向上的风险投影,实现作业现场风险的精细化控制。实验结果表明,所提方法无论面对物理风险,还是面对人为风险,风险值均不超过15,具有较高的风险控制能力。In order to reduce the risk on the job site and maintain the safety of the life and property of the personnel on the job site,a method of fine-grained control of the job site risk based on the dynamic Bayesian network is proposed.By analyzing the basic structure of the dynamic Bayesian network,a dynamic Bayesian network model for assessing the risk of the job site is established,the fine risk assessment results are projected into the project aggregate in the three-dimensional space,the two-way safety control mechanism of the vertical cross operation is used to adjust the three risk projection in each direction to achieve refined control of job site risks.The experimental results show that the proposed method has a high risk control ability,regardless of whether it faces physical risks or human risks,the risk value does not exceed 15.

关 键 词：动态贝叶斯网络 有向无环图 风险评估 风险控制 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]