Research on Urban Street Light Monitoring System Based on Intelligent Decision Making

This paper utilizes an intelligent decision-making system to provide energy-saving, efficient and intelligent solutions for the management and maintenance of urban street lights. According to the ambient brightness and traffic flow, intelligent adjustment of street lighting brightness, saving power and reducing energy consumption. Through the cloud platform and monitoring client to realize the remote monitoring and management of street lights, real-time view of the working status of street lights and fault information, the location information of street lights is convenient for the staff to carry out maintenance and management of street lights, manually control the switching status of street lights and lighting brightness, improve the efficiency of street lights management and controllability. The historical data of street lights working status, ambient brightness and traffic flow provides important data basis for street lights upgrading and urban road planning and construction, and promotes the intelligent construction of the city.