Solar space thermal energy utilization and AI navigation based on light sensors in museum visual communication design

With the wide application of renewable energy, solar energy as a clean and sustainable energy gradually received attention. In the visual communication design of the museum, how to effectively use solar energy and improve the comfort and energy efficiency of the exhibition space has become a research hotspot. In this study, a light sensor was installed in the museum to monitor the changes of indoor and outdoor light intensity and temperature in real time. Combined with AI algorithms, the collected data is analyzed to optimize the collection and distribution of solar thermal energy. At the same time, the corresponding visual communication system is designed to guide visitors to make effective use of the museum space. The research shows that the solar thermal energy utilization system based on the light sensor can achieve high thermal energy efficiency, keep the indoor temperature within the comfortable range, and reduce the use frequency of traditional air conditioning. The AI navigation system effectively guides visitors to the exhibition in a more efficient way, enhancing their satisfaction and interactive experience. The combination of light sensor and AI navigation technology can effectively improve the utilization efficiency of solar heat energy in the visual communication design of the museum, optimize the environmental quality, and promote the sustainable development of the museum to achieve more efficient resource utilization and environmental protection.