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Congress on Intelligent Systems pp 515–533Cite as

Smart E-waste Management in China: A Review

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 111))

Abstract

To prevent the rapid increase in global e-waste generation from causing serious environmental pollution and adverse effects on human health, proper e-waste management is critical. In recent years, China has begun to pay more attention to e-waste management because the informal recycling and disposal by unauthorized collectors have brought serious environmental problems in some areas. However, it is an enormous challenge to achieve efficient management of waste electronic products in a developing country like China, which produces a large amount of e-waste every year but has a low recycling rate. The application of intellectual technologies has given new opportunities for more effective e-waste management. Many companies in China are developing smart e-waste collection and recycling systems by applying the Internet of Things (IoT), big data, cloud computing, and artificial intelligence (AI), but they also face challenges in various aspects. In this line, to promote of smart e-waste recycling in China, this study analyzes and summarizes the main obstacles and countermeasures for smart e-waste management.

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Abbreviations

WEEE:

Waste electrical and electronic equipment

MSWM:

Municipal Solid Waste Management

AI:

Artificial intelligence

ICT:

Information and communication technology

IoT:

Internet of Things

RSC:

Reverse supply chain

CRT:

Cathode ray tube

PBDE:

Polybrominated diphenyl ether

PBB:

Polybrominated biphenyl

PCDD/Fs:

Polychlorinated dibenzo-p-dioxins and dibenzofurans

PCB:

Polychlorinated biphenyl

EPR:

Extended producer responsibility

RoHS:

Restriction of hazardous substances

IT:

Information technology

CLSTRNN:

Cuckoo search optimized long short-term neural networks

GPS:

Global positioning system

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Author information

Authors and Affiliations

  1. Henan Institute of Science and Technology, Xinxiang, China

    Yafeng Han, Dongxu Qu & Guohou Li

  2. Sumy National Agrarian University, Sumy, Ukraine

    Yafeng Han, Tetiana Shevchenko & Dongxu Qu

Authors
  1. Yafeng Han
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  2. Tetiana Shevchenko
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  3. Dongxu Qu
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  4. Guohou Li
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Corresponding author

Correspondence to Yafeng Han .

Editor information

Editors and Affiliations

  1. Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, India

    Mukesh Saraswat

  2. Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India

    Harish Sharma

  3. Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India

    K. Balachandran

  4. Korea University, Seoul, Korea (Republic of)

    Joong Hoon Kim

  5. South Asian University, New Delhi, India

    Jagdish Chand Bansal

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Han, Y., Shevchenko, T., Qu, D., Li, G. (2022). Smart E-waste Management in China: A Review. In: Saraswat, M., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Congress on Intelligent Systems. Lecture Notes on Data Engineering and Communications Technologies, vol 111. Springer, Singapore. https://doi.org/10.1007/978-981-16-9113-3_38

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