| With the growth of cities,traditional domestic waste management systems can no longer meet the demands of modern urban development.As a result,many cities in China are exploring and implementing "smart sanitation" systems to manage waste more efficiently.However,these systems currently face challenges such as low levels of automation and poor utilization of data silos.This paper aims to address these issues by proposing an intelligent sanitation operation and maintenance system that incorporates the "Internet of Things",the internet,and artificial intelligence.Specifically,this paper includes the following components:(1)Design and analysis of a garbage classification intelligent sanitation operation and maintenance system,including functional requirements,system architecture analysis,and comparative analysis of communication protocols.(2)Development of a smart monitoring terminal device to sense the status of front-end collection and transportation equipment,and the creation of an AT-LSTM trend prediction model to forecast when garbage cans will overflow,providing a basis for subsequent garbage collection and transportation operations and facility management.(3)Development of a garbage classification intelligent management platform,including analysis of the data structure,creation of a relational database,and design of an equipment operation and maintenance control applet and a web-based visual monitoring platform.These features enable remote equipment operation and maintenance,user data analysis,and operation and maintenance work supervision.(4)Study of the key technology for waste collection vehicle path optimization and discussion of the factors affecting the cost of waste collection and transportation.A dynamic waste vehicle collection and transportation path optimization model based on simulated annealing genetic algorithm is designed,and the superiority of the model is verified by designing standard arithmetic experiments and actual arithmetic experiments in the Dongcheng District of Beijing. |