Smart overloading control mainly consists of front-end perception system, network transmission system, and back-end management system, integrating cutting-edge technologies such as IoT, artificial intelligence algorithms, big data mining and analysis, multi-dimensional data modeling, visual recognition, cloud edge collaboration, etc. It utilizes multi-dimensional sensor feature data, vehicle data, and road condition data for collaborative and integrated management. Under the premise of not interfering with normal road traffic order, it accurately monitors and collects road vehicle overloading related data 24 hours a day to provide administrative departments with situational awareness and decision-making guidance data for people, vehicles, and roads, enhance the ability to regulate law enforcement, conduct precise investigations, and provide accurate services, and promote the modernization of comprehensive governance in the transportation industry.