关键词: 蚁群算法, 载波, 路灯, 智能

Abstract: To optimise the LED street lamp and achieve effective monitoring, reduce node energy consumption, and improve the efficiency of network node processing and data dissemination in LED street lamp control, an addressing method for LED street lamp low-voltage distribution network is developed based on an ant colony algorithm, to improve the algorithm's strength of optimal path search. For the phenomenon of low calculation accuracy and high energy consumption, an improved measure of the ant colony algorithm is designed to avoid the algorithm falling into a local optimum. According to the performance of PLC managing street lamps, the algorithm constructs the network topology model. Based on the optimisation objective function and state transition law, the algorithm updates pheromone, revises and improves elements around the function objective. Finally, from state transition law and search, the algorithm designs automatic streetlight routing model and draws up automatic routing protocol framework. With the low-voltage distribution network, the channel quality of the model achieves dynamic identification. When the channel quality changes, the communication carrier of the power line network completes dynamic routing maintenance to realise the reliability of the communication network. The algorithm reduces the network energy consumption, effectively avoids network congestion, improves the average hit rate of the street light route, and reduces the route execution time. Simulation results verify the reliability and effectiveness of the algorithm.

Key words: ant colony algorithm, carrier wave, street lamp, intelligence