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18 November 2024 Research on optimal energy efficiency piping system layout of intelligent workshop based on improved ant colony
Chao Chen, Wen Liu, Linxin Zheng, Muyang Wu, Jianqi Shu, Shuting Chen
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Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 134033D (2024) https://doi.org/10.1117/12.3051608
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China
Abstract
Aiming at the problem of the automatic layout of optimal energy-efficient piping in the high-density layout environment of an intelligent workshop, a method of optimal energy-efficient piping system layout in intelligent workshop based on an improved ant colony is proposed. Firstly, the friction loss of multi-specification pipes is measured through the friction experiment as the layout evaluation index. Secondly, the layout scene is reconstructed based on the grid and enclosing box methods. Thirdly, initial guidance information and improved update strategy based on the workshop piping layout rules to differentiate the area guide; Reward and correction rules are introduced to control the change of path information, balancing the intensity of environmental guidance in later stages; and the heuristic information of inclination to the target is introduced to the ant colony state transfer strategy to enhance the efficiency of exploring the target solution. Finally, the optimal energy-efficient piping layout of the intelligent workshop is obtained by the optimization Mechanism for main and branch pipelines. Experiments show that this method can achieve higher energy efficiency and faster layout results in dealing with complex intelligent workshop piping scenarios.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Chao Chen, Wen Liu, Linxin Zheng, Muyang Wu, Jianqi Shu, and Shuting Chen "Research on optimal energy efficiency piping system layout of intelligent workshop based on improved ant colony", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 134033D (18 November 2024); https://doi.org/10.1117/12.3051608
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KEYWORDS
Pipes
Intelligence systems
Energy efficiency
Attenuation
Engineering
Mathematical optimization
Sensors
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