Design And Implementation Of Classified Garbage Transfer And Dispatching Monitoring System Based On Internet Of Things

With the continuous development of Internet of things technology,it provides an opportunity for the development of garbage transport monitoring and management system,but also provides a development direction for the information of the system.At present,the garbage transfer process in our country still adopts the traditional treatment method,and the staff regularly processes and classifies the garbage equipment,and the ability to obtain and process the garbage equipment information has not been developed accordingly,and this part of the information management system is missing.Therefore,the research and design of the system improves the transportation efficiency and the work efficiency of the staff in the transit process management,and reduce the cost of this part is of great significance.In this essay,aiming at the problems existing in the development of classified garbage transfer process,under the premise of studying the existing Internet of things technology and Web framework,a monitoring system of classified garbage transfer scheduling based on Internet of things is designed and implemented,in order to provide solutions for the online processing of this process,to realize the monitoring and management of the life cycle of sorted waste.The platform transmits data through garbage equipment with sensors,realizes remote real-time monitoring,and manages and maintains garbage equipment.The recyclable waste is collected and disposed at home,and the life cycle of recyclable garbage is monitored through the online application order.Considering the practical application of the system by staff,managers and users,the business requirements and functional design of the above three user groups are designed in detail,from which nine modules are designed: user management,door-to-door recycling management,equipment transfer management,equipment maintenance management,opinion and suggestion management,employee work assessment management and garbage collection efficiency management,long-term transfer capacity management and user garbage image recognition management.The main work of this essay is to complete the above nine functional modules,and based on Vue to implement the front-end page,design the garbage collection efficiency and long-term transport capacity of the data analysis function,in order to use garbage weight data to analyze and process the garbage disposal capacity of the transit station to avoid risks,At the same time,the Deep learning methods is selected to classify and recognize garbage images,so as to facilitate the masses to carry out a quick way of garbage classification.The system is written by using the popular Vue front-end framework,Spring Boot technology and Java language.With IDEA,Hbuilder and MySQL as the development tools,a classified garbage transfer scheduling monitoring system based on B/S and C/S structures is designed.