Paper
23 May 2023 Application of coal chemical dewatering process algorithm based on temperature control
Ming Liu, Hua Zhang
Author Affiliations +
Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 1264544 (2023) https://doi.org/10.1117/12.2680751
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China
Abstract
In recent years, the dehydration of the coal chemical industry plays an indispensable role in the production process of coal chemical industry. In order to further predict its application range in coal chemical equipment, this paper introduces several forms of coal dehydration in industrial production and proposes algorithms that can be applied in current coal chemical dehydration. In addition, it also summarizes the drying methods and characteristics, and analyses the advantages and disadvantages of different drying methods through multi-characterization. Using numerical simulation and multidimensional microstructure analysis methods to construct a visual numerical simulation model. In order to provide theoretical guidance and reference for promoting energy conservation, emission reduction, efficiency and environmental protection in the coal industry through data prediction.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ming Liu and Hua Zhang "Application of coal chemical dewatering process algorithm based on temperature control", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 1264544 (23 May 2023); https://doi.org/10.1117/12.2680751
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KEYWORDS
Analytical research

Neural networks

Evolutionary algorithms

Neurons

Humidity

Industrial chemicals

Industry

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