Abstract
A reliable ventilation system is essential for maintaining a comfortable working environment and ensuring safety production in an underground coal mine. The automated fan switchover technique was developed for changing the main fan for maintenance with lower air flow volatility of underground mine in the switchover process. This article established the optimization model in the main fans switchover process, used the improved particle swarm optimization algorithm to solve the model, and achieved minimum air flow volatility in the fans switchover process. Compared to previous studies, computer simulations have shown that the proposed algorithm can effectively find the global optimal solution with less initial parameters and achieved lower air flow volatility in underground mine. The particle swarm optimization solution, searching diversity, prevents it from confining to local optimal solutions and enhances convergence. The reasonable step length is beneficial to reduce the air flow volatility and main fans switchover time. The air flow volatility is larger comparatively when some doors are nearly open or closed fully at the start—stop phase of the switchover process. A case application in a China's domestic coal mine shows that the air flow volatility of the underground mine in the main fans switchover process is no more than 0.4%.
Recommended Citation
H. Ge et al., "A Mine Main Fans Switchover System with Lower Air Flow Volatility based on Improved Particle Swarm Optimization Algorithm," Advances in Mechanical Engineering, vol. 11, no. 3, SAGE Publications, Mar 2019.
The definitive version is available at https://doi.org/10.1177/1687814019829281
Department(s)
Mining Engineering
Keywords and Phrases
Air flow fluctuation; Constraint optimization model; Fan switchover; Particle swarm optimization; Underground coal mine
International Standard Serial Number (ISSN)
1687-8132; 1687-8140
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2019 The Author(s), All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Mar 2019
Comments
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Key Research and Development Plan of Jiangsu Province: Key Technology Research and Development of Mine Ventilation Safety and Energy Saving Measurement and Control (BE2016046); Industry-University-Research Prospective Joint Research Project (BY2016062-01); and the Independent Research Projects of State Key Laboratory of Coal Resources and Safe Mining, CUMT (SKLCRSM15KF01).