生态与农村环境学报2025，Vol.41Issue(9)：1122-1133,12.DOI:10.19741/j.issn.1673-4831.2025.0348
人工智能技术在固体废物综合治理领域的研究进展及展望
Research Advances and Future Prospects of Artificial Intelligence Technology in the Integrated Management of Solid Waste
摘要
Abstract
As urbanization accelerates and populations continue to grow,the volume of solid waste is soaring and tradi-tional management approaches are increasingly constrained by low efficiency,high costs and significant environmental risks.Artificial intelligence(AI),with its exceptional abilities in data analytics,pattern recognition and intelligent deci-sion-making,offers a transformative opportunity to modernize waste management systems.This paper evaluates the strengths,limitations and applicable scenes of mainstream AI algorithms,including artificial neural networks,support vec-tor machines,decision trees,genetic algorithms and linear regression.It also provides a systematic review of AI's ad-vances across critical verticals of integrated waste governance,such as collection,sorting,disposal,resource recovery and illegal dumping detection.To tackle current challenges such as inconsistent data quality,opaque"black-box"models,privacy and security concerns,infrastructure compatibility,we propose strategies encompassing data standardization,the introduction of explainability tools,privacy safeguards and edge-to-cloud collaboration.Finally,we offer an in-depth out-look on the deep integration of AI with Internt of Things(IoT),digital twins and blockchain,aiming to inform future ef-forts toward greener,smarter and more sustainable waste management.关键词
人工智能/固体废物/综合治理/机器学习/物联网Key words
artificial intelligence/solid waste/integrated management/machine learning/internet of things分类
资源环境引用本文复制引用
温天成,卜元卿,张后虎..人工智能技术在固体废物综合治理领域的研究进展及展望[J].生态与农村环境学报,2025,41(9):1122-1133,12.基金项目
国家重点研发计划(2023YFC3706603 （）
2022YFC2105405) （）
生态环境部预算项目 （）
