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

Li, Xiao; Shi, Yongkui; Wang, Zaiyong; Zhang, Wenquan

doi:10.1155/2021/4141236

Cited by 4 publications

(5 citation statements)

References 40 publications

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“…The research on emergency vehicle scheduling gradually becomes more comprehensive. Concerned about the urban emergency situation, emergency rescue involves various transportation tasks, such as sending the injured to the rescue center (RC) for treatment as soon as possible and accurately transporting different emergency supplies to each demand point (9,10). It is easy to overlook that the number of vehicles available for scheduling, and changes in vehicle speed at the current time, will also have an impact on the entire scheduling process.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Emergency Vehicle Scheduling Model in Urban Emergency Rescue within a Time-Limited Period

Li,

Wang,

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Considering the uncertainty of urban emergency rescue time, it is difficult for emergency vehicles to maintain a 100% service level continuously. The biggest challenge is to minimize driving distance and costs when the number of vehicles available for deployment is uncertain. In this study, considering the limitation of emergency vehicles, a new integrated emergency vehicle scheduling model for large-scale urban emergency rescue was developed, which is able to tackle multiple emergency tasks at the same time, achieving the shortest path and the lowest cost. Then, the emergency scheduling was simulated in seven urban areas of H City in China to verify the applicability of the proposed model, during which a fast non-dominated sorting multi-objective genetic algorithm with elite strategy was used to solve this model. Moreover, the corresponding algorithm test was conducted to verify the feasibility of the Pareto solution and demonstrate its effectiveness. Moreover, the simulation results show that the used algorithm can reduce computing time by 14.27%, compared with the genetic algorithm. Finally, the optimal scheduling scheme was selected according to the decision-makers’ preferences. This study solved various emergency vehicle scheduling problems under uncertain emergency times, which was beneficial for multilateral cooperation emergency scheduling and provided decision support for emergency command departments for choosing the best emergency scheme.

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Section: Literature Reviewmentioning

confidence: 99%

Integrated Emergency Vehicle Scheduling Model in Urban Emergency Rescue within a Time-Limited Period

Li,

Wang,

et al. 2023

Transportation Research Record: Journal of the Transportation R

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“…For this reason, the water-resisting effect of the aquiclude was enhanced, and the corresponding rock thickness is defined as the effective aquiclude thickness. (5) The mining failure ratio is the ratio of the height of the water-conducting fractured zone to the height of the separation space. When other conditions of the working face are consistent, the greater the mining failure ratio, the higher the probability of separation water inrush is.…”

Section: Model Preparationmentioning

confidence: 99%

“…In China, coal mines with bed separation water inrush are mainly distributed in 13 provinces such as Shandong, Anhui, Shaanxi, Liaoning, Chongqing, etc. The unpredictable disaster has caused serious accidents such as flooding in coal mine areas and working faces and casualties of miners, which has attracted the attention of coal mining enterprises and many experts. − However, due to the difference in the sedimentary rock formation, the mechanism of water inrush is complex and varies from region to region. − The schematic diagram of roof bed separation water inrush is shown in Figure .…”

Section: Introductionmentioning

confidence: 99%

Evaluation on the Risk of Water Inrush Due to Roof Bed Separation Based on Improved Set Pair Analysis–Variable Fuzzy Sets

Zhang

Wang

et al. 2022

ACS Omega

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To study and prevent bed separation water inrush accidents in coal mines, it is necessary to evaluate the risk according to the limited geological data correctly. In this work, based on hydrogeological and mining conditions, we established a risk evaluation model and selected seven important factors, including the aquifer thickness, aquifer water abundance, hydraulic pressure of the aquifer, effective aquifuge thickness, mining failure ratio, mining height of the working face, and advancing distance as evaluation indexes. The intuitionistic fuzzy analytic hierarchy process (IFAHP) and entropy weight method (EWM) were used to analyze the weights of the original data, and the minimum information entropy principle was used to further integrate the abovementioned calculation results. With the weight results, set pair analysis–variable fuzzy set (SPA-VFS) theory was applied to determine the risk grade of each working face, which provided scientific guidance for the safe mining of coal mines. For the working face where water inrush may occur, the risk of bed separation water inrush can be reduced by optimizing the parameters or changing the mining conditions through the model analysis.

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“…Furthermore, coal mine rescue teams are equipped with essential equipment and materials for executing coal mine accident rescues. These materials play a crucial role in accurate rescue operations, contributing to reduction of casualties, economic losses, and the maintenance of social stability and sustainable development [4].…”

Section: Introduction a Backgroundmentioning

confidence: 99%

Site Selection of Multi-Level Material Bases in Coal Mine Considering the Hierarchical Reserve Mode and Demand Difference—A Case Study

Wang,

Zhou,

Bai

2024

IEEE Access

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As one of the important energy industries, the safe production of coal mines not only concerns the safety of employees, but also affects the sustainable development of society. Recent rescue cases have shown that the layout of material bases and the allocation of emergency materials need to be further optimized. For this problem, this paper adopts the material hierarchical reserve mode for the first time, combining the material hierarchical reserve mode, multi-level material base selection model, and fuzzy analytic hierarchy process (FAHP) method to determine the optimal location of the coal mine material base in Liaoning Province. Determine the reserve level of emergency materials through evaluation and clustering analysis of various emergency materials. Improve the traditional gravity model and construct a multi-objective planning model for multi-level material base site selection. Apply the reserve level of emergency materials and real regional data to the site selection model, and use genetic algorithm (GA) to solve the model. Then, the optimal site selection scheme was selected using FAHP, and sensitivity analysis was conducted. The research results indicate that: (1) 9 county-level, 6 city-level and 2 provincial-level material bases will be constructed. (2) The location selection of material bases is not only affected by costs, but also by the density of road networks.(3) The use of hierarchical material reserve mode can significantly reduce the construction cost of material bases. Compared to the traditional material reserve mode, it can reduce costs by 86.6%. Compared to a singlelevel material bases, it can still reduce costs by 74.7%. The research results of this paper can be used for the selection of emergency material bases and the allocation of emergency material reserves, which can reduce costs and promote the improvement of regional emergency rescue capabilities.

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

Cited by 4 publications

References 40 publications

Integrated Emergency Vehicle Scheduling Model in Urban Emergency Rescue within a Time-Limited Period

Integrated Emergency Vehicle Scheduling Model in Urban Emergency Rescue within a Time-Limited Period

Evaluation on the Risk of Water Inrush Due to Roof Bed Separation Based on Improved Set Pair Analysis–Variable Fuzzy Sets

Site Selection of Multi-Level Material Bases in Coal Mine Considering the Hierarchical Reserve Mode and Demand Difference—A Case Study

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