Automatic Lighting Design of Building Information Model Based on K-Means Clustering Algorithm

Architecture is the place where people live, work and study. Modern building structures are becoming more and more complex, and there are many unfavorable factors, such as energy saving, water saving and landscape lighting, which need to be studied in architectural design and lighting. This paper takes building lighting as the background, combines intelligent network, wireless communication, image processing and other technologies, applies parametric control of lighting system (i.e. intelligent control) to digital map, and constructs a digital model containing building feature information and historical information of lighting system. The model can monitor the running state of the lighting system and adjust the light power and brightness in real time. In the process of actual lighting system transformation, in order to make it more intelligent and convenient for automation, this paper adopts the automatic lighting design method based on building information model (BIM). Automatic lighting and automatic fault detection and alarm functions can be realized through the network, which has better curative effect and better usability compared with the automation level.