中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (7): 106-113.doi: 10.16265/j.cnki.issn1003-3033.2025.07.1047

• 安全工程技术 • 上一篇    下一篇

相似情景知识迁移下工程人员安全事故主观概率仿真

张羽1(), 黎之戊1, 钟玮2, 贺娟茹3   

  1. 1 西南石油大学 土木工程与测绘学院, 四川 成都 610500
    2 四川师范大学 党委学生工作部(处), 四川 成都 610066
    3 河南中天高新智能科技股份有限公司, 河南 郑州 450001
  • 收稿日期:2025-02-20 修回日期:2025-05-10 出版日期:2025-07-28
  • 作者简介:

    张羽 (1986—),男,江西新余人,博士,副教授,硕士生导师,主要从事安全知识与行为、安全监管博弈等方面的研究。E-mail:

    贺娟茹 工程师

  • 基金资助:
    四川省社科规划项目(SC21B162); 教育部人文社科项目(14XJCZH004); 教育部合作协同育人项目(201802339011)

Simulation of subjective probability of safety accidents among engineering personnel based on similar scenario knowledge transfer

ZHANG Yu1(), LI Zhiwu1, ZHONG Wei2, HE Juanru3   

  1. 1 School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu Sichuan 610500, China
    2 Party Committee Student Affairs Department (Division), Sichuan Normal University, Chengdu Sichuan 610066, China
    3 Henan Zhongtian High-tech Intelligent Technology Co., Ltd., Zhengzhou Henan 450001, China
  • Received:2025-02-20 Revised:2025-05-10 Published:2025-07-28

摘要:

为了研究规避行为下相似情景知识迁移对工程人员安全事故主观概率的影响,引入情景相似度变量,构建工程人员群体安全事故的主观概率演化模型,并进行仿真试验研究。研究结果表明:相似情景知识迁移会加速主观概率均值收敛,同时降低个体间和情景间的主观概率差异,但也会导致低估高事故率情景的情况;存在死亡人数最多的“高危”事故情景,其事故率在0.4~0.8之间;2种不同情景的死亡率差异较大情况下,仅在低死亡率情景的事故率高于高死亡率情景时,情景知识迁移才有助于降低损失;2种不同情景的死亡率接近且事故率差异较大时,知识的不完整迁移反而会造成更大损失。

关键词: 情景相似度, 知识迁移, 工程人员, 安全事故, 主观概率, 规避行为, 元胞自动机(CA)

Abstract:

To study the influence of similar scenario knowledge transfer on the subjective probability of safety accidents of engineers under avoidance behavior, the scenario similarity variable was introduced, and a subjective probability evolution model for safety accidents among engineering personnel groups was constructed and simulated. The results show that knowledge transfer in similar scenarios accelerates the convergence of the mean subjective probability, and reduces the subjective probability differences between individuals and scenarios, but also leads to the underestimation of accident rates in high-accident-rate scenarios. There is a "high-risk" accident scenario with the largest number of fatalities, where the accident rate ranges from 0.4 to 0.8. When there is a significant mortality rate difference between two scenarios, scenario knowledge transfer reduces losses only if the low-mortality-scenario has a higher accident rate than the high-mortality one. With close mortality rates but greatly varying accident rates, incomplete knowledge transfer may cause greater losses.

Key words: scenario similarity, knowledge transfer, engineering personnel, safety accidents, subjective probability, avoidance behavior, cellular automaton (CA)

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