Modified Stochastic Petri Net-Based Modeling and Optimization of Emergency Rescue Processes during Coal Mine Accidents

Xiao Li,Zaiyong Wang,Wenquan Zhang,Yongkui Shi,Dan Ma

doi:10.1155/2021/4141236

Abstract

The coal mine accidents seriously affect the safety and efficiency of mining for coal mining enterprises. The reliable emergency rescue (ER) processes are explored to minimize the loss of accidents. This paper introduces the stochastic Petri net (SPN) and Markov chain (MC) models based on the system structure flow to analyze the ER processes of coal mine accidents. In addition, a triangle fuzzy strategy is presented to optimize the SPN model. The “9·28” major water inrush accident in Shanxi Fenxi Zhengsheng Coal Company of China is adopted to evaluate the time performance and accident data of the ER process. The MC model-based steady-state probabilities of the system under various states are used to calculate the average delay time of this system. The triangular fuzzy strategy is used to analyze the change value of the total time in the ER system at the unit transition speed when the firing rate of each transition is changed, which finds the most time-consuming key activities in the ER process. The results show that SPN and MC can reflect the dynamic behaviors of ER process, which provides a reference for the rescue operations of other coal mine accidents. The triangular fuzzy strategy can quickly find out the key activities affecting the ER time, which greatly decreases the calculations generated by analyzing the total time of the system changed at the unit transition speed.

Highlights

IntroductionGovernment and enterprises have tried to change such a passive situation by improving safety management measures and introducing rescue equipment, but the accidents and casualties have not been fundamentally resolved [1,2,3]
Coal provides strong supports for the rapid development of the national economy as one of the main energy sources in China
The time parameters that obeyed a certain probability distribution are added in the stochastic Petri net (SPN), and the time of random variables is associated with the transitions

Summary

Introduction

Government and enterprises have tried to change such a passive situation by improving safety management measures and introducing rescue equipment, but the accidents and casualties have not been fundamentally resolved [1,2,3]. The establishment of an early warning and rapid rescue framework for coal mine accidents is the key point of current works, which would improve the level of emergency rescue (ER) and reduce or even avoid the casualty caused by accidents [5, 6]. The large drainage equipment and mining submersible pumps are used to deal with flood disaster, the rapid sealing and spraying machine are used to deal with fire accidents, the positive pressure blower and exhaust fan are used to deal with gas and coal dust explosion accidents, and the light disaster relief drill is used to deal with roof accidents. With the development of Internet technology, many new communication technologies have been applied to mine ER such as the video communication between the underground and ground and between the accident scene and ER command departments at all levels [25, 26]

Methods

Results

Conclusion