Title: An optimisation of an intelligent lighting system for high-voltage cable corridors based on improved edge computing

Authors: Xiaokai Meng; Hong Yang; Taoning Guo; Yan Ren

Addresses: State Grid Shanxi Electric Power Company Electric Power Research Institute, Taiyuan 030001, China ' State Grid Shanxi Electric Power Company Electric Power Research Institute, Taiyuan 030001, China ' State Grid Shanxi Electric Power Company Electric Power Research Institute, Taiyuan 030001, China ' State Grid Shanxi Electric Power Company Electric Power Research Institute, Taiyuan 030001, China

Abstract: The rational design and operation of the high-voltage cable tunnel lighting system are fundamental to power system reliability. Focusing on issues of high energy consumption and poor real-time performance of current research, this paper firstly designs a linear edge calculation algorithm. Distribute tasks of edge computing through the network cloud server to edge computing of network terminal devices, thereby strengthening real-time operational efficiency. Secondly, the edge side is optimised for scheduling using the improved particle swarm optimisation (PSO) algorithm, taking into account Lévy flight. Finally, the lighting system energy-saving control optimisation model is constructed, and the best energy-saving control scheme is searched using the improved PSO algorithm. Simulation results indicate that the transmission delay of edge computing is less than 2.5 μs, and the optimised system achieves a 50.4% energy saving, which effectively improves the system's real-time performance.

Keywords: high-voltage cable channel; smart lighting system optimisation; edge computing; Lévy flight; particle swarm optimisation algorithm.

DOI: 10.1504/IJSN.2025.150135

International Journal of Security and Networks, 2025 Vol.20 No.4, pp.231 - 242

Received: 12 Jun 2025
Accepted: 25 Jun 2025
Published online: 01 Dec 2025 *

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