Design and User Interaction Optimization of Smart Home Lighting System
With the rapid development of smart home technology,lighting systems are playing an increasingly important role in improving quality of life and energy conservation and emission reduction.Taking a smart apartment project as an example,this study explores the design principles and user interaction optimization strategies of smart home lighting systems.A smart lighting solution based on situational awareness and adaptive learning is proposed through analysis and experimentation of system architecture,sensor networks,control algorithms,and user interfaces.The experimental results show that this scheme has significant effects in improving user comfort,reducing energy consumption,and simplifying operations,providing valuable reference for the design and optimization of smart home lighting systems.