蚁群算法在智能LED路灯控制中的应用研究

Application of Ant Colony Algorithm in Intelligent LED Street Lamp Control

为了优化LED路灯控制并达到有效监控,减少节点能量消耗,提升LED路灯控制中网络节点处理和传播数据的效率,本文使用蚁群算法研发一种可用在LED路灯低压配电网寻址法,能改善最优路径搜索的力度.针对计算精度低和能耗高现象,设计了蚁群算法的一种改进措施更好地免除算法陷进局部最优.算法根据PLC管理路灯性能特点构建网络拓扑结构模型,给出与此研究匹配的优化目标函数和状态转移定律并更新信息素,最后围绕函数目标与状态转移定律和搜寻等对要素订正和改善,设计自动路灯路由模型,拟定路由自动协议框架.凭借低压配电网,模型信道质量可达到动态识别,信道质量变化时,电力线网络通信载波能完成动态路由维护,使通信网络可靠实现.该方法能降低网络能耗,有效避免网络拥塞,提高平均路灯路由命中率,减少路由执行时间.此法在仿真验证中证明了其可靠性和有效性.

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.