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28 August 2024 Power plant risk management optimization based on NSGA-II
Liu Jiang, Changming Wang, Yiming Liu, Haibo Gu
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Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132512I (2024) https://doi.org/10.1117/12.3040341
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China
Abstract
In order to enhance the efficiency of power plant risk management and control, this study focuses on the allocation of risk control tasks and the planning of risk inspection routes for the first time. We propose a dual-objective optimization model based on NSGA-II, which takes into account both fairness in allocation and control costs. In the design of the model, we consider various practical aspects of the enterprise, including different types of risk points, average speeds on different road sections, and the possibility of multiple personnel passing through the same risk point. Taking the risk distribution network of 28 risk points and 40 road sections in two regions of a certain enterprise as an example, there are a total of 3 available inspection personnel for allocation. In this case, we obtained 22 sets of Pareto solutions, including schemes with the shortest time, the most fair allocation, and those that balance both factors. This model has generality across various types of enterprises and can provide better decision-making references for the allocation of risk control tasks and the planning of inspection routes.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Liu Jiang, Changming Wang, Yiming Liu, and Haibo Gu "Power plant risk management optimization based on NSGA-II", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132512I (28 August 2024); https://doi.org/10.1117/12.3040341
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KEYWORDS
Inspection
Computer programming
Safety
Mathematical optimization
Control systems
Industry
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