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基于蚁群算法的太阳能LED路灯智能照明控制方法 被引量:3

Intelligent Lighting Control Method of Solar-powered LED Street Lamps Based on the Ant Colony Algorithm
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摘要 路灯照明是城市公用设施中的一项重要内容,而太阳能LED路灯绿色安全、节能环保,但其照度值较低。为有效确保路灯智能照明控制效果,降低太阳能LED路灯能耗,提高路灯智能照明控制精度,提出基于蚁群算法的太阳能LED路灯智能照明控制方法。以道路上实际车辆信息和环境照度情况为基础,采用模糊PID控制器,在引入道路环境光照强度变化率和车流量变化率的基础上,通过控制路灯期望照度值和实际照度值之间的误差,控制路灯照明。利用蚁群算法对模糊PID控制器的比例、积分和微分系数进行了优化,获取最优控制参数值,依据最优参数值控制太阳能LED路灯照度。测试结果显示,该方法具有较好的路灯智能照明控制效果,能够结合道路上的车流量变化率,控制路灯的照度情况,可保证不同天气环境下的照度控制符合标准,且控制后可降低路灯能耗。 Street lighting is an importantaspect of urban public facilities,and solar-powered LED streetlights are known for their green,safe and energy-efficient qualities.However,they often have lower illumination levels.In order to ensure effective intelligent lighting control for streetlights,reduce energy consumption of solar-powered LED streetlights,and improve the precision of lighting control,a smart lighting control method based on the ant colony algorithm is proposed.Based on the actual vehicle information and environmental illumination on the road,a fuzzy PID controller is used in conjunction with the variation rates of road ambient light intensity and traffic flow.By controlling the error between the desired illuminance value and the actual illuminance value,the lighting of the streetlights is regulated.The ant colony algorithm is used to optimize the proportional,integral and derivative coefficients of the fuzzy PID controller,obtaining the optimal control parameter values.These optimal parameter values are then used to control the illuminance of the solar-powered LED streetlights.The test results show that this method has a good effect on intelligent lighting control of streetlights.It can control the illumination of streetlights in combination with the variation rate of traffic flow on the road.This approach ensures that the illuminance control meets the standards in different weather conditions.Additionally,it leads to reduced energy consumption of the streetlights after the implementation of the control method.
作者 李娟 LI Juan(Zhongdu Engineering Design Co.,Ltd.,Guangzhou 510095,China)
出处 《照明工程学报》 2023年第3期52-57,共6页 China Illuminating Engineering Journal
关键词 蚁群算法 太阳能 LED路灯 智能照明控制 车流量 光照强度 ant colony solar energy LED street lights intelligent lighting control traffic flow light intensity
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