Research on Optimization Scheme of Indoor Lighting Design Driven by Intelligent Algorithm

In view of the fact that traditional design relies on experience and static simulation software, with which it is difficult to meet the needs of dynamic scenes and multiple users, and the lighting energy consumption accounts for a high proportion of total building energy consumption, this paper constructs an intelligent, algorithm-driven indoor lighting design optimization scheme. The scheme integrated architectural space characteristics, environmental dynamic data, and user behavior patterns and realized the collaborative optimization of the lighting among multiple objectives, such as energy consumption, comfort, and functionality, through an innovative three-tiered architecture model. The empirical analysis showed that the energy consumption of lighting systems optimized by intelligent algorithms was significantly reduced in different functional areas, with an average reduction of over 15%, and the user comfort and health indicators were also greatly improved. This scheme provides a new direction for indoor lighting design, promotes the development of the intelligent building industry, and helps popularize green buildings.