遗传算法在高速公路隧道照明智能优化中的应用

Using of genetic algorithms in highway tunnel lighting intelligent optimization

高速公路隧道照明拥有巨大的节能空间,但隧道照明最优照度分配问题国内却鲜有研究。隧道照明系统不仅要满足基本照明要求,还要最大限度节省电能。针对这一特点,本文建立了基于遗传算法的隧道照明智能优化模型,以照明系统耗能最小作为运行的目标函数,使各照明灯具照度分配达到最优,并对其进行了仿真验证。结果表明:该方法可以按不同的照度需求调节隧道内各照明灯具使其获得最佳的优化照度,因此具有显著的节能效果。

There is a huge energy-saving space in highway tunnel lighting,but little research in optimizing the tunnel lighting.The highway tunnel lighting system should not only meet the basic lighting requirements but also maximize power savings.For this feature,the tunnel lighting intelligent optimization model based on genetic algorithm was established,to minimize the energy consumption in the lighting system as the objective function,and makes the lighting run state achieve optimum.The results show that the method can adjust the lighting within the tunnel to obtain the best optimization state,and thus achieve a significant energy saving effect.