Research on technical means and application mode of artificial intelligence empowering circular economy establishment

doi:10.12267/j.issn.2096-5931.2024.12.013

Abstract

Abstract:

In the context when global resource constraints intensify and China makes efforts to build a circular economy development model, this paper explores the main technical means of artificial intelligence technology applied to the establishment of circular economy based on the basic model of circular economy development, and builds a framework of the application model of artificial intelligence empowering circular economy establishment. Meanwhile, this paper analyzes the main challenges faced by artificial intelligence technology empowering circular economy establishment at the current stage, and puts forward corresponding development suggestions.

Key words: artificial intelligence, circular economy, machine learning, recycle

CLC Number:

TP39
X32

CUI Mingze. Research on technical means and application mode of artificial intelligence empowering circular economy establishment[J]. Information and Communications Technology and Policy, 2024, 50(12): 89-96.

Add to citation manager EndNote|Ris|BibTeX

URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2024.12.013

http://ictp.caict.ac.cn/EN/Y2024/V50/I12/89

Figures/Tables 4

References 18

[1]	UNDP. What is circular economy and why does it matter?[EB/OL]. (2023-04-24)[2024-10-12]. https://climatepromise.undp.org/news-and-stories/what-is-circular-economy-and-how-it-helps-fight-climate-change.
[2]	中共中央国务院. “十四五”循环经济发展规划[EB/OL]. (2021-07-01)[2024-10-12]. https://www.gov.cn/zhengce/zhengceku/2021-07/07/5623077/files/34f0a690e98643119774252f4f671720.pdf.
[3]	PBL Netherlands Environmental Assessment Agency. Outline of the circular economy[R], 2019.
[4]	HEDBERG A, IPKA S. Toward a circular economy: the role of digitalization[J]. One Earth, 2021, 4(6):783-785.
[5]	中共中央国务院. 关于加快经济社会发展全面绿色转型的意见[EB/OL]. (2024-08-11)[2024-10-12]. https://www.gov.cn/zhengce/202408/content_6967663.htm?slb=true.
[6]	南德意志集团. 欧盟电池法规概览[R], 2024.
[7]	南开大学中国式现代化发展研究院. 中国新一代人工智能科技产业发展报告2024[R], 2024.
[8]	赵志君, 庄馨予. 中国人工智能高质量发展:现状,问题与方略[J]. 改革, 2023(9):11-20.
[9]	ZHOU Z H. A brief introduction to weakly supervised learning[J]. National Science Review, 2017, 5(1):44-53.
[10]	JIANG T, GRADUS J L, ROSELLINI A J. Supervised machine learning: a brief primer[J]. Behavior Therapy, 2020, 51(5): 675-687. doi: S0005-7894(20)30067-8 pmid: 32800297
[11]	SANTRY D J. Demystifying deep learning: an introduction to the mathematics of neural networks[M]. New York: Wiley-IEEE Press, 2024:111-131.
[12]	ALONSO S L N, FORRADELLAS R F R, MORELL O P, et al. Digitalization, circular economy and environmental sustainability: the application of artificial intelligence in the efficient self-management of waste[J]. Sustainability, 2021, 13(4):2092.
[13]	JEONG Y, AGRAWAL T, GARCIA E F, et al. A reinforcement learning model for material handling task assignment and route planning in dynamic production logistics environment[J]. Procedia CIRP, 2021,104:1807-1812.
[14]	OLAWADE D B, FAPOHUNDA O, WADA O Z, et al. Smart waste management: a paradigm shift enabled by artificial intelligence[J]. Waste Management Bulletin, 2024, 2(2):244-263.
[15]	苹果. 环境进展报告[R], 2024.
[16]	陈铭, 王志刚, 张宇平. 关于退役动力电池机器人拆解智能化的思考[J]. 汽车与配件, 2023(5):54-58.
[17]	格林美股份有限公司. 2022环境、社会与公司治理(ESG)报告[R], 2023.
[18]	AWINO F B, APITZ S E. Solid waste management in the context of the waste hierarchy and circular economy frameworks: an international critical review[J]. Integrated Environmental Assessment and Management, 2024, 20(1):9-35.