摘要
针对隧道照明系统的高能耗问题,为有效降低其能耗,建立隧道中间段中线侧偏布灯方式的参数优化模型。以隧道中间段照明为研究对象,照明灯具的总功率最小为评价标准,以路面照度、亮度满足交通安全要求为约束条件,分别采用遗传蚁群算法、标准遗传算法以及照明设计软件DIALux得出该优化模型的最优参数设计方案。结果表明:遗传蚁群算法在隧道照明设计方面具有更显著的节能效果,是一种研究隧道照明设计问题的有效方法。
Aiming at the high consumption of lighting system in tunnels,a parameter optimization model of lighting layout pattern in the midline cornering of the middle section in the tunnels was built,so as to effective reduce consumption.Taking the lighting in the middle section of tunnels as research object,the minimum total power of illuminators as evaluation criterion and road surface illumination&luminance satisfying traffic safety requirements as constraint condition,this thesis respectively adopted Genetic Ant Colony Algorithm,Standard Genetic Algorithm and lighting design software DIALux to obtain the optimal parameter design schemes to optimize the model.The result shows that Genetic Ant Colony Algorithm has a more remarkable energy saving effect in the lighting design in tunnels,which is a effective method of tunnel lighting design problems.
作者
黄艳国
宋峰华
HUANG Yanguo;SONG Fenghua(School of Electrical Engineering and Automation,Jiangxi University of Science and Technology,Ganzhou,Jiangxi 341000,China)
出处
《公路工程》
北大核心
2018年第4期39-43,91,共6页
Highway Engineering
基金
国家自然科学基金(61463020)
关键词
公路隧道
优化模型
照明节能
遗传蚁群算法
tunnel lighting
optimization model
energy saving
genetic ant colony algorithm
作者简介
黄艳国(1973-),男,湖北武汉人,副教授,博士,主要从事智能交通控制方面的研究。
