基于系统动力学的煤矿人机协作行为仿真研究OACHSSCD
Research on Coal Mine Human-machine Cooperation Behavior Simulation Based on System Dynamics
为保证煤矿智能化建设中人机能够安全协作,减少协作事故的发生,结合事故致因理论和理性行动理论从矿工个人、智能化系统、安全管理三个方面构建煤矿人机协作行为的理论模型,探讨人机协作行为的影响因素.基于系统动力学方法,探究了煤矿人机协作行为影响因素之间的作用关系并对其演化趋势进行动态仿真模拟.研究发现:在煤矿智能化建设中,自动化信任、班组安全管理、组织安全管理在人机协作的不同阶段对不安全协作行为有明显的抑制作用;联合干预对不安全协作行为的抑制效果明显.基于仿真结果,从矿工个体、组织安全管理、班组安全管理三个方面提出了提高煤矿人机安全协作行为的政策建议.
In order to ensure the safe cooperation between humans and machines in the intelligent con-struction of coal mine and reduce the occurrence of cooperation accidents,a theoretical model of human-ma-chine cooperation behavior in coal mine is constructed from the three aspects of miners'personal,intelligent system,and safety management by combining the theory of accident causation and the theory of rational ac-tion,and the factors influencing human-machine cooperation behavior are explored.Based on the system dy-namics method,we investigate the relationship between the influencing factors of human-machine cooperation behavior in coal mines and conduct dynamic simulation on the evolution trend of human-machine cooperation behavior.It is found that in the intelligent construction of coal mines,automation trust,team safety manage-ment and organizational safety management have obvious inhibiting effects on unsafe cooperative behaviors at different stages of human-machine cooperation,and the joint intervention has obvious inhibiting effects on un-safe cooperation behaviors.Based on the simulation results,the policy suggestions to improve the human-ma-chine safety cooperation behaviors in coal mines are proposed from the aspects of individual miners,organiza-tional safety management,and team safety management.
杨雪;邢琦钰;姚雨佳
华北水利水电大学 管理与经济学院,河南 郑州 450046
安全科学
煤矿安全管理智能化建设人机协作系统动力学仿真模拟
coal mine safety managementintelligent constructionhuman-machine cooperationsystem dynamicsanalogue simulation
《华北水利水电大学学报(社会科学版)》 2024 (003)
高危行业员工不安全情绪的预防、控制与疏导——基于情感事件、情绪承受与情绪承载管理的实证研究
48-56 / 9
国家自然科学基金项目(71573086);华北水利水电大学网络舆情与社会治理创新团队(01);华北水利水电大学研究生创新课题资助项目(YK-2021-119)
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