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以中端智能分选赋能中国特色垃圾分类模式

江子萱 温宗国 胡宇鹏 吴建阳 吴建成 张丽萍

环境工程学报2026,Vol.20Issue(7):2019-2029,11.
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环境工程学报2026,Vol.20Issue(7):2019-2029,11.DOI:10.12030/j.cjee.202510042

以中端智能分选赋能中国特色垃圾分类模式

Empowering waste sorting with mid-stream smart sorting technology:A solution for China’s distinctive waste classification system

江子萱 1温宗国 1胡宇鹏 1吴建阳 2吴建成 2张丽萍1

作者信息

  • 1. 清华大学环境学院,北京 100084
  • 2. 广东青绿环境科技有限公司,东莞 523220
  • 折叠

摘要

Abstract

Given the continuously increasing waste generation in China and the limitations of current waste classification methods in terms of effectiveness,there is an urgent need to explore new technological pathways to enhance the efficiency and performance of waste sorting.This study proposed a new waste classification model centered on midstream intelligent sorting technology.On the one hand,through targeted pretreatment technology and the integration of multi-modal visual recognition and robotic grasping technology,it achieved efficient sorting of complex domestic waste.On the other hand,through the innovation of miniaturized equipment,it adapted to the low-value characteristics of recyclables in the waste.Evaluations from engineering demonstration cases indicated that this technology could effectively separate 15%~30%of low-value recyclables from mixed municipal solid waste.Implementing smart sorting in 5%of the transfer stations in a case city could recover over 50 000 tons of recyclables annually.Preliminary estimates suggested that the return on investment for operating enterprises can reach 20%at a scale of 80 tons per day.The research demonstrated that mid-stream smart sorting technology offers a technically feasible and economically sustainable solution to reduce fiscal expenditures on waste classification while improving sorting efficiency.

关键词

垃圾分类/智能分选/机器人分选/资源化利用/经济可行性

Key words

waste classification/smart sorting/robotic sorting/resources utilization/economic feasibility

分类

资源环境

引用本文复制引用

江子萱,温宗国,胡宇鹏,吴建阳,吴建成,张丽萍..以中端智能分选赋能中国特色垃圾分类模式[J].环境工程学报,2026,20(7):2019-2029,11.

基金项目

国家重点研发计划资助项目(2023YFC3906305) (2023YFC3906305)

新基石科学基金会科学探索奖资助项目 ()

环境工程学报

1673-9108

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