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8 November 2024 Optimization method of regional warehouse site selection and material allocation for emergency rescue of gas pipe network
Yanjun Chen, Fei Wang, Hongtao Mou, Jiang Tian, Rui Li, Ziyan Cheng
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Proceedings Volume 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024); 134163W (2024) https://doi.org/10.1117/12.3049728
Event: 2024 4th International Conference on Advanced Algorithms and Neural Networks, 2024, Qingdao, China
Abstract
In recent years, gas leakage and explosion accidents in urban gas pipe network occur frequently, which poses a great threat to public security. The regional warehouse for emergency rescue is an important place used for the management of storage and distribution of emergency materials in the gas emergency rescue system and ensuring timely and efficient support for gas emergency materials. In this paper, K-means clustering algorithm is employed to determine the layout of the regional warehouse, according to the field investigation and opinions of experts. The optimized allocation of emergency materials is analyzed based on Delphi method and two rounds of investigation on material allocation. The results show that this method can determine the layout of the regional warehouse in a scientific way and allocate the type and quantity of emergency materials in a reasonable way, so as to optimize the layout of the regional warehouse and the structure of materials.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yanjun Chen, Fei Wang, Hongtao Mou, Jiang Tian, Rui Li, and Ziyan Cheng "Optimization method of regional warehouse site selection and material allocation for emergency rescue of gas pipe network", Proc. SPIE 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), 134163W (8 November 2024); https://doi.org/10.1117/12.3049728
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KEYWORDS
Pipes
Safety
Emergency preparedness
Mathematical optimization
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