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Simulation and Analysis of Coal Mine Safety Escape Routes Based on a Multi-agent Model
Author(s) -
Lei Pan,
Feiping Lu,
Zhou Yao-hui,
Shipeng Qin
Publication year - 2021
Publication title -
international journal of modeling and optimization
Language(s) - English
Resource type - Journals
ISSN - 2010-3697
DOI - 10.7763/ijmo.2021.v11.785
Subject(s) - coal mining , dijkstra's algorithm , computer science , adjacency matrix , construct (python library) , shortest path problem , matrix (chemical analysis) , path (computing) , adjacency list , coal , algorithm , engineering , theoretical computer science , chemistry , graph , programming language , waste management , chromatography
In order to discuss the influencing factors of mine escape decision when underground disaster occurs, this paper uses the multi-agent modeling theory to construct the coal mine safety accident escape model. The real escape scenarios of different chamber positions and multiple exits are simulated. Dijkstra algorithm was used for site selection and the shortest escape path is searched by combining breadth-first algorithm and adjacency matrix. The simulation results show that the multi-agent simulation modeling method has great advantages in simulating the evolution of complex systems.

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