摘要
Recirculation is prohibited in many coal mining countries because of the fear that the re-use of return air would allow the build-up of air contaminants at the workings. The incorrect design and location of a booster fan in any ventilation network can create unsafe condition due to recirculation. The current approach to investigating recirculation using simulation software requires manual effort which becomes tedious in a complex and a large network. An algorithm-based C++ program was designed to detect the recirculation in a booster fan ventilation networks. This program needed an input file prepared from output file generated by any ventilation simulator. This program created an output file for recirculation. This program demonstrated the strong capability to detect the recirculation in a sample network and a coal mine ventilation network. The outcomes of this program were documented in this paper.
Recirculation is prohibited in many coal mining countries because of the fear that the re-use of return air would allow the build-up of air contaminants at the workings. The incorrect design and location of a booster fan in any ventilation network can create unsafe condition due to recirculation. The current approach to investigating recirculation using simulation software requires manual effort which becomes tedious in a complex and a large network. An algorithm-based C++ program was designed to detect the recirculation in a booster fan ventilation networks. This program needed an input file prepared from output file generated by any ventilation simulator. This program created an output file for recirculation. This program demonstrated the strong capability to detect the recirculation in a sample network and a coal mine ventilation network. The outcomes of this program were documented in this paper.
引文
[1]Chen KY,Si JH,Zhou FB,Zhang RW,Shao H,Zhao HM.Optimization of air quantity regulation in mine ventilation networks using the improved differential evolution algorithm and critical path method.Int J Min Sci Technol 2015;25(1):79–84.
[2]Euler DS.Application of ventilation management programs for improved mine safety.Int J Min Sci Technol 2017;27(4):647–50.
[3]Wallace K,Prosser B,Stinnette JD.The practice of mine ventilation engineering.Int J Min Sci Technol 2015;25(2):165–9.
[4]Calizaya F,Stephens M,Gillies S.Utilization of booster fans in underground coal mines.In:SME annual meeting and exhibit 2010.p.443–7.
[5]Wempen J,Calizaya F,Peterson RD,Nelson MG.Evaluating the use of booster fans in two underground coal mines.Min Eng 2011;63(6):115–9.
[6]Sedgewick R.Algorithms in C++.New York:Addison Wesley;1992.
[7]Acuňa EI,Grossman PA,Rubinstein,JH.Application of graph theory algorithms to detect multiple recirculation paths.In:Proceedings of the 14th United States/North American mine ventilation symposium,Salt Lake City,Utah;2012.p.65–9.
[8]Tarjan R.Depth-first search and linear graph algorithms.SIAM J Comput1972;1(2):146–60.
[9]Johnson DB.Finding all the elementary circuits of a directed graph.SIAM J Comput 1975;4(1):77–84.
[10]Calizaya F,Yang G,Mc Pherson MJ,Mousset-Jones P.Application of graph theory to detect uncontrolled recirculation.In:Proceedings of the use of computers in the coal industry 4th conference,Morgantown,WV;1990.p.9–109.
