篇名 |
Research on Control Optimization Method of Mine Ventilation System Based on Intelligent Optimization Algorithm
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並列篇名 | Research on Control Optimization Method of Mine Ventilation System Based on Intelligent Optimization Algorithm |
作者 | Wen-Li Lian、Jing-Jing Qi |
英文摘要 | In view of the complex ventilation network in the mine, many influencing factors, and the complex establishment of the air demand model, this paper establishes an air volume optimization model with the minimum energy consumption of the entire ventilation network as the optimization objective, and adds the air volume balance law conditions, the air pressure balance law conditions, the branch air demand law conditions, the air resistance regulation law conditions, and the fan conditions as constraints to the model. Then, the intelligent algorithm is used to solve the problem. In order to make the intelligent algorithm converge faster and solve the problem optimally, the Grey Wolf algorithm is improved. Finally, the model and the improved intelligent algorithm are used to optimize the ventilation regulation of the actual operating coal mine, and the air volume control scheme is given.
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起訖頁 | 239-248 |
關鍵詞 | mine ventilation system、air volume regulation model、Intelligent optimization algorithm、Improved Grey Wolf algorithm |
刊名 | 電腦學刊 |
期數 | 202302 (34:1期) |
DOI |
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QR Code | |
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