Research on the layout of coal resource project development in China based on multi-objective optimization algorithm in the context of infrastructure construction
Author:
Yang Xiuyu1, Zhao Liang1, Huo Dong1
Affiliation:
1. 1 China Coal Huajin Group Co., Ltd ., Yuncheng , Shanxi , , China .
Abstract
Abstract
In this paper, the multi-objective optimization algorithm is first used to construct a multi-objective dynamic optimization model algorithm for enterprise coal resource development in the context of infrastructure construction, to implement optimization of multiple objectives of coal enterprises based on variable descriptions, objective functions, and constraints, and also to study the extent and utilization of coal resource exploration and development. Then the coal development example based on a multi-objective optimization algorithm is analyzed, and the effectiveness of this scheme is verified by analyzing the relationship between coal mining volume and recovery rate. The results show that the coal mining volume and coal mining speed are both increasing and then decreasing in the process of advancing the working face from 200m to 500m, and the coal mining volume gradually increases with the coal mining in the working face hollow area, and the retrieval speed is consistent with the changing trend of coal mining, which indicates that this study has reference value for safe and efficient mining and efficient resource recovery in coal mines.
Publisher
Walter de Gruyter GmbH
Subject
Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science
Reference18 articles.
1. Liang, S., Wang, W., & Zhang, D. (2018). Characteristics of annual and seasonal precipitation variation in the upstream of minjiang river, southwestern china. Advances in Meteorology, 2018, 1-14. 2. Xu, Z., Lian, J., Zhang, J., & Bin, L. (2020). Investigating and optimizing the water footprint in a typical coal energy and chemical base of china. Science of The Total Environment, 727, 138781. 3. Zhao, L. T., Liu, Z. T., & Cheng, L. (2021). How will china’s coal industry develop in the future? a quantitative analysis with policy implications. Energy, 235(8), 121406. 4. Sheng, J., Tunnicliffe, R., Ganesan, A. L., Maasakkers, J. D., Shen, L., & Prinn, R. G., et al. (2021). Sustained methane emissions from china after 2012 despite declining coal production and rice-cultivated area. Environmental Research Letters, (10). 5. Wang, C., Wang, F., Zhang, X., Wang, Y., Yongxian, S. U., & Yuyao, Y. E., et al. (2022). Dynamic features and driving mechanism of coal consumption for guangdong province in china. Journal of Geographical Sciences, 32(3), 401-420.
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