基于改进DBSCAN算法的智能照明控制系统

Intelligent lighting control system based on improved DBSCAN algorithm

在大型场所,针对传统照明系统无法实时、智能地控制照明区域,导致电能浪费的现象,设计了一种基于改进DBSCAN算法的智能照明控制系统。首先,使用传感器获取室内人员位置信息;然后,将位置信息转化为照明平面上的二维坐标数据并使用改进后的DBSCAN聚类算法对数据进行聚类分析,找出人员分布相对密集的区域;最后,用单位容量法确定每个区域需要开启的灯具个数。通过对照明区域的实时、智能控制,有效节约电能。实验结果表明,当照明场所内人员较少,或人员分布不集中时,节能效果明显。

Due to the fact that the traditional lighting system cannot control the lighting area real-timely and in-telligently in large place, which leads to the waste of electric energy, the paper designs a kind of intelligent light-ing system based on the improved DBSCAN algorithm. Firstly, the location information of indoor personnel is ob- tained by sensors; secondly, the location information is transformed into two dimensional coordinate data on the illumination plane, and the improved DBSCAN clustering algorithm is used to cluster the data to find the areas where the personnel distribution is relatively dense; finally, the number of lights in each area when reaching specified illuminance is determined by unit capacity method. The electric energy can be effectively saved through the real-time and intelligent control of the lighting area. The experimental results show that the effect of energy saving is obvious when the personnel in the lighting place are few, or the personnel distribution is not concen-trated.