Research on the linkage reliability of mine fire wind and smoke flow emergency control system

被引:0
|
作者
Wang, Kai [1 ,3 ]
Cai, Weiyao [3 ]
Gao, Shiwei [2 ]
Chen, Xinyu [2 ]
Zhang, Yuchen [3 ]
机构
[1] State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou,221116, China
[2] National Mine Emergency Rescue Team of Kailuan, Kailuan (Group) Limited Liability Corporation, Tangshan,063000, China
[3] School of Safety Engineering, China University of Mining and Technology, Xuzhou,221116, China
来源
Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology | 2021年 / 50卷 / 04期
关键词
Decision making;
D O I
暂无
中图分类号
学科分类号
摘要
In view of the current situation that the free spread of the fire smoke flow in mine road network can cause suffocation and death, the characteristics of a typical transportation lane belt or cable fire smoke flow was analyzed, and the rapid isolation and discharge path of the wind and smoke flow was discussed. An intelligent control method for distributed linkage ventilation facilities was proposed, combined with underground catastrophic environment and destructive effects, multi-source redundancy technology was incorporated to ensure automatic switching between redundant components under conditions of power outage, pressure wind damage, and communication interruption. A model for cross-sensing and situational judgment of multiple catastrophic information has been constructed. When communication was abnormal or interrupted, disaster linkage could be realized according to the multiple insurance model of remote control, linkage decision-making and independent decision-making. This paper integrated fault prediction and health management (PHM) to improve the comprehensive reliability of the disaster linkage system. We analyzed the system reliability influencing factors, established a fault tree and transformed it into a Bayesian network structure. According to the forward analysis, the reliability of the non-redundant system was determined to be 80.3%. On the basis of Bayesian reverse inference, the probability of system failure caused by power supply, compressed air, and communication modules was 40.6%, 40.6% and 20.3%, respectively. The comprehensive reliability of the system under multiple redundancy conditions reached 97.3%. It proves the necessity and feasibility of the redundant design of the system, and provides guidance for the engineering application of emergency control technology and equipment for catastrophic wind and smoke flow. © 2021, Editorial Board of Journal of CUMT. All right reserved.
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页码:744 / 754
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