Research on the Application of Municipal Solid Waste Classification Based on Big Data

Authors

  • Jingwei Zhao
  • Hui Zhao
  • Ye Tao

DOI:

https://doi.org/10.54097/qfy5dj56

Keywords:

Big Data, MSW, Waste Classification

Abstract

With the acceleration of urbanization and the surge in the amount of municipal waste generated, traditional waste treatment methods such as landfill, incineration and composting, although they have their advantages and disadvantages, can no longer meet the needs of resource conservation, environmental protection and sustainable development. As an effective way to alleviate this problem, the necessity and urgency of waste classification are becoming more and more prominent. This paper discusses the research on the application of urban living garbage classification based on big data technology, analyzes the advantages of big data technology in living garbage classification, introduces the relevant application examples, and puts forward the existing problems and challenges, hoping to provide some new ideas and thoughts for the future work of garbage classification and to promote the promotion and implementation of garbage classification work.

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References

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[2] Jiang Dan, Zhang Yuyan, Li Jun, et al. Application of big data in intelligent classification management of urban household waste [J]. Green Building Materials, 2020, (01):36-37.

[3] Liang Rui, Chen Guanyi, Yan Beibei, et al. Progress in research and application of intelligent classification technology for urban household waste [J]. China Environmental Science, 2022, 42(01):227-238.

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[5] Liu Xiaoyan. Research on the practical dilemma of big data-enabled garbage classification governance [J]. Journal of Shaanxi Administrative College,2024,38(02):19-23.

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Published

27-08-2024

Issue

Section

Articles

How to Cite

Zhao, J., Zhao, H., & Tao, Y. (2024). Research on the Application of Municipal Solid Waste Classification Based on Big Data. Frontiers in Computing and Intelligent Systems, 9(2), 23-26. https://doi.org/10.54097/qfy5dj56