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Open Access Algorithm of complex ventilation network solution based on circuit air-quantity method

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With the mine ventilation system becoming more and more complex,the traditional calculation methods have difficulty in meeting the requirements of network solution.It’s of significance to develop a quick algorithm for calculating complex wind network.The theory of network solution of circuit air-quantity method was systematically and thoroughly studied.Also,the limitation of the existing ventilation network solution was analyzed.An improved network solution based on Scott-Hinsley method was put forward.With a high convergence rate,this algorithm can solve the problems of ventilation network including unidirectional circuit and the network solution problems of complex ventilation system.BFS method was used to improve the structure of the spanning tree,and the divided circuit was faster by using Double-Access method.Achieving the fixed half cut set of air distribution in ventilation network,the algorithm can automatically distribute air according to demands.The failure cause of circuit air-quantity network solution with the unidirectional circuits was analyzed.The algorithm proposed can solve the problems of ventilation network including unidirectional circuit by modifying its search strategy.
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Keywords: circuit air-quantity method; independent circuit; network solution; unidirectional circuit

Document Type: Research Article

Publication date: February 15, 2015

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  • The Journal publishes the peer-reviewed papers with original research, new developments and innovations, site measurements and case studies in coal science and mining industry. It aims to be a leading platform for the publication of high quality papers and an authoritative source of information for analysis, review and evaluation related to coal science and mining technologies.

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    - ventilation and control, methane drainage and capture
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    - low carbon technology
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    The Journal is a unique comprehensive academic periodical completely dedicated to the coal science and mining industry in the world. The Journal stands out as an excellent source of scientific information in coal industry with nearly 400 papers published in 12 issues per annum.

    The Journal is published monthly by China Coal Society.
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