Operation Parameters Optimization Method of Coal Flow Transportation Equipment Based on Convolutional Neural Network-Reference-Cited by-同舟云学术

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Operation Parameters Optimization Method of Coal Flow Transportation Equipment Based on Convolutional Neural Network

Published:2024-07-01 Issue:4 Volume:41 Page:1793-1806
ISSN:2524-3462
Container-title:Mining, Metallurgy & Exploration
language:en
Short-container-title:Mining, Metallurgy & Exploration

Author:

Yang Xueqi,Gao Xinqin,Zheng Haiyang

Funder

Science and Technology Plan Project of Yulin City, China

National Natural Science Foundation of China

Shaanxi Provincial Department of Education Key Scientific Research Program Project, China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42461-024-01031-0.pdf

Reference34 articles.

1. Bao JS, Zhang QL, Ge SR, Hu EY, Yuan XM, Yang Y, Yin Y, Lv YH (2023) Basic research and application practice of unmanned auxiliary transportation system in coal mine. J China Coal Soc 48(2):1085–1098. https://doi.org/10.13225/j.cnki.jccs.2022.1600

2. He D, Pang Y, Lodewijks G (2016) Speed control of belt conveyors during transient operation. Powder Technol 301:622–631. https://doi.org/10.1016/j.powtec.2016.07.004

3. Patterson SR, Kozan E, Hyland P (2016) An integrated model of an open-pit coal mine: improving energy efficiency decisions. Int J Prod Res 54(14):4213–4227. https://doi.org/10.1080/00207543.2015.1117150

4. Wang GF (2022) The latest technological progress and problems of coal mine intelligence. Coal Sci Technol 50(1):1–27. https://doi.org/10.13199/j.cnki.cst.2022.01.001

5. Mu YF, Yao T, Jia HJ, Yu XD, Zhao B, Zhang XS, Ni CW, Du LJ (2020) Optimal scheduling method for belt conveyor system in coal mine considering silo virtual energy storage. Appl Energy 275:115368. https://doi.org/10.1016/j.apenergy.2020.115368

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