Design of Rural Road Lighting System Based on Internet of Things and Deep Learning

With the promotion of China’s new rural construction and beautiful countryside movements, there is a growing demand to improve the living environment of residents in rural areas and meet the requirements for energy efficiency and sustainability by implementing novel technologies. The internet of things (IOT) that allows real-time monitoring, measurement, and control while ensuring sustainability has become the trend in the field of lighting management. On the other hand, deep learning algorithms could help to eliminate the labor-intensive and time-consuming mining and feature extraction of high-dimensional complex data, and provide analysis and optimization of control strategies in a much shorter time. In this study, we put forward a new lighting design model by integrating IOT and deep learning, and theoretically analyzed its feasibility and discussed its advantages, with the goal to provide a new scheme for the design of rural road lighting system that is energy-efficient with improved reliability, robust functionality and satisfying performance.