采用权重粒子群算法的照明控制

针对传统建筑照明系统中存在不能同时兼顾大面积照明环境舒适性及节能性的两大问题,引入了权重粒子群算法(Particle Swarm Optimization,PSO),并将其应用到照明控制系统中;首先通过采用多个传感器采集照度信息,随之将信息输入算法中,通过算法进行优化处理,最后系统自动寻出最优的光通量组合方式;算法可帮助场所内部照度分布均匀,在提升建筑光环境舒适度的同时也可大幅度降低照明损耗,提高能源利用效率;通过DIALux evo软件仿真验证,实验结果表明方案切实可行。

Lighting Control Based on Weight Particle Swarm Optimization Algorithm

In view of the two problems in the traditional architectural lighting system that cannot take into account the comfort and energy saving of large-area lighting environment at the same time, this paper introduces the Particle Swarm Optimization (PSO) algorithm and applies it to the lighting control system. By using multiple sensors to collect illuminance information, the information is input into the algorithm, and is optimized by the algorithm. Finally, the system automatically finds the optimal combination of luminous flux. The algorithm can help the interior of the site to be evenly distributed, and it can greatly reduce the lighting loss and improve the energy utilization efficiency while improving the comfort of the building light environment. This paper is verified by DIALux evo software simulation, and the experimental results show that the scheme is feasible.