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Metal Mine ›› 2014, Vol. 43 ›› Issue (01): 133-136.

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Determination of Underground Mine Fire Optimal Path of Multi Rescue Teams by Swarm Intelligence Algorithm

Fan Wenjing,Lu Caiwu   

  1. College of Management,Xi'an University of Architecture and Technology,Xi′an 710055,China
  • Online:2014-02-14 Published:2014-02-25

Abstract: Determining the optimal emergency rescue path is the primary task to deal with the mine fire.The equivalent length of roadway was calculated and the mathematical model of mine fire rescue path based on multi ambulance corps was built by judging the roadway passable resistance and the access difficulty coefficient.Meanwhile,a hybrid strategy has been proposed that based on merits of PSO and ACO-using,PSO was used to search parameters αβρ of ACO,then back to ACO and search for optimal rescue path of multi rescue teams.Through the MATLAB software platform and using this hybrid algorithm,the optimal rescue path,the shortest path of equivalent length,was gained.It provided a theoretical basis for the mine accident rescue plan and the emergency escape plan of underground staffs.

Key words: Mine fire, Shortest path, Multi rescue teams, Particle swarm optimization, Ant colony algorithm