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| Advances in research and application of intelligent municipal solid waste classification technologies |
| LIANG Rui1, CHEN Guan-yi1,2,3, YAN Bei-bei1,4, SUN Yu-nan2, TAO Jun-yu2 |
1. School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China;
2. School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China;
3. School of Science, Tibet University, Lhasa 850012, China;
4. Tianjin Key Laboratory of Biomass Wastes Utilization, Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, China |
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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.
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Received: 23 May 2021
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