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Design And Research Of Urban Domestic Waste Sorting And Recycling System Based On Internet Of Things

Posted on:2022-01-09Degree:MasterType:Thesis
Country:ChinaCandidate:D J ChenFull Text:PDF
GTID:2511306566487664Subject:Industrial design engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of economy,the urban population is bound to increase day by day,and the output of municipal solid waste is also growing at a high speed.At least two thirds of the cities in China are facing the dilemma of "garbage besieged city".How to use scientific and technological means to realize the source classification and recycling of domestic waste,and realize the harmless and resource-based treatment of domestic waste is worth thinking deeply.In recent years,Internet of things technology has been gradually applied to various fields of real life because of its excellent characteristics such as overall perception,reliable transmission and intelligent processing.Therefore,from the perspective of the application of Internet of things technology in waste classification,based on the system design theory,this paper studies and analyzes the residents' cognitive needs,residents' waste treatment behavior characteristics,residents' emotional experience,classified environmental factors,classified media factors in the process of urban domestic waste classification and recycling,and analyzes the relationship between people and things,things and environment,and the relationship between people and things The relationship between human and environment.Secondly,through the combination of user experience theory and research methods,this paper puts forward the design strategies based on user experience,such as changing lifestyle,pursuing natural interaction behavior,building three-dimensional scene of the system,and immersing emotional experience.Finally,based on the Internet of things technology and system design theory and strategy,complete the system service system design and the corresponding module product design.
Keywords/Search Tags:Internet of Things, System design, User experience, Classification recovery system
PDF Full Text Request
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