Xiaoran Wang1, Feiqiang Zhang2, Xingyu Li3
1School of Design Arts and Media, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, China
2School of Design Arts and Media, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, China
3School of Design Arts and Media, Nanjing University of Science & Technology, Nanjing, Jiangsu, 210094, China
This paper aims to solve the problems of low operation efficiency of the traditional urban garbage sorting and recycling logistics network and worrying about the sanitation environment based on social construction. It will be connected to the front end, and the model innovation will be carried out with the collection and transportation logistics of the key link of garbage classification in the end recycling process. The method adopted is to establish a complete system, using differential centrifugal and pneumatic power transportation methods to act on garbage classification and pipeline transportation, formulate standardized collection and transportation procedures, and implement block-based independent management on a community basis. Based on the above methods, the one-stop service of residents' domestic waste collection, classification, recycling, compression, packaging, and transportation is completed, solving the problem of urban waste and finally forming the result of constructing an intelligent process of garbage collection, transportation and classification. This paper uses the domestic waste rail logistics system innovation to provide smarter processing ideas for future communities and create a better living environment for residents. It has a positive effect on implementing urban organic construction, promoting industrial upgrading and economic development.
Urban garbage; Garbage classification; Garbage recycling; Rail logistics
Xiaoran Wang, Feiqiang Zhang, Xingyu Li. Research on Innovative Design of Urban Domestic Garbage Treatment System Based on Intelligent Logistics. The Frontiers of Society, Science and Technology (2022) Vol. 4, Issue 12: 79-85. https://doi.org/10.25236/FSST.2022.041211.
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