城市生活垃圾智能分类技术研究与应用进展

梁蕊; 陈冠益; 颜蓓蓓; 孙昱楠; 陶俊宇

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中国环境科学 ›› 2022, Vol. 42 ›› Issue (1) : 227-238.

固体废物

城市生活垃圾智能分类技术研究与应用进展

梁蕊¹, 陈冠益^1,2,3, 颜蓓蓓^1,4, 孙昱楠², 陶俊宇²

作者信息 +

Advances in research and application of intelligent municipal solid waste classification technologies

LIANG Rui¹, CHEN Guan-yi^1,2,3, YAN Bei-bei^1,4, SUN Yu-nan², TAO Jun-yu²

Author information +

文章历史 +

摘要

城市生活垃圾清运量逐年增加, 由此带来的环境问题日益严峻.不同垃圾组分有其各自适宜的处理与利用方式, 因此, 有效的垃圾分类技术具有重要意义.我国现有的以人工为主的垃圾分类方式存在效率低、成本高、准确性差等弊端, 而垃圾智能分类技术是解决相关瓶颈的重要手段.本文简述了中国代表性城市生活垃圾分布和近年变化趋势, 从密度、电、磁、声波、图像以及光谱多种技术角度出发, 解析了国内外现有的城市生活垃圾智能分类技术, 简要介绍了智能垃圾分类技术的实际应用情况, 分析了智能垃圾分类技术的挑战与机遇.

Abstract

The growing annual disposal volume of municipal solid waste (MSW) is causing serious environmental problem worldwide. Different components in MSW have their own appropriate treatment and utilization techniques, thus effective MSW classification is significantly important. While current classification methods in China is primarily artificial classification, which have a lot of disadvantages such as low efficiency, high cost and low accuracy. These bottlenecks could be excellently solved by intelligent and automatic classification technologies. The recent distribution feature and growing trend of MSW in China's representative cities were briefly introduced, and the existing intelligent MSW classification technologies in six categories of principles were analyzed. These categories included density, electricity, magnetism, image, acoustic and spectrum. The practical applications of intelligent MSW classification technologies were also introduced. Finally, the threats and opportunities faced with intelligent MSW classification technologies were analyzed.

导出引用

梁蕊, 陈冠益, 颜蓓蓓, 孙昱楠, 陶俊宇. 城市生活垃圾智能分类技术研究与应用进展[J]. 中国环境科学. 2022, 42(1): 227-238

LIANG Rui, CHEN Guan-yi, YAN Bei-bei, SUN Yu-nan, TAO Jun-yu. Advances in research and application of intelligent municipal solid waste classification technologies[J]. China Environmental Science. 2022, 42(1): 227-238

中图分类号： X705

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