Artificial intelligence for waste management in smart cities: a review

被引:118
作者
Fang, Bingbing [1 ]
Yu, Jiacheng [1 ]
Chen, Zhonghao [1 ]
Osman, Ahmed I. I. [2 ]
Farghali, Mohamed [3 ,4 ]
Ihara, Ikko [3 ]
Hamza, Essam H. H. [5 ]
Rooney, David W. W. [2 ]
Yap, Pow-Seng [1 ]
机构
[1] Xian Jiaotong Liverpool Univ, Dept Civil Engn, Suzhou 215123, Peoples R China
[2] Queens Univ Belfast, Sch Chem & Chem Engn, David Keir Bldg,Stranmillis Rd, Belfast BT9 5AG, North Ireland
[3] Kobe Univ, Dept Agr Engn & Socioecon, Kobe 6578501, Japan
[4] Assiut Univ, Fac Vet Med, Dept Anim & Poultry Hyg & Environm Sanitat, Assiut 71526, Egypt
[5] Mil Tech Coll, Elect & Comp Engn Dept, Aircraft Armament A CA, Cairo, Egypt
关键词
Artificial intelligence; Waste management; Chemical analysis; Optimization; Cost efficiency; MUNICIPAL SOLID-WASTE; ENVIRONMENTAL IMPACTS; BIOGAS PRODUCTION; GENERATION; PREDICTION; SYSTEM; OPTIMIZATION; MODEL; RATES; TECHNOLOGIES;
D O I
10.1007/s10311-023-01604-3
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The rising amount of waste generated worldwide is inducing issues of pollution, waste management, and recycling, calling for new strategies to improve the waste ecosystem, such as the use of artificial intelligence. Here, we review the application of artificial intelligence in waste-to-energy, smart bins, waste-sorting robots, waste generation models, waste monitoring and tracking, plastic pyrolysis, distinguishing fossil and modern materials, logistics, disposal, illegal dumping, resource recovery, smart cities, process efficiency, cost savings, and improving public health. Using artificial intelligence in waste logistics can reduce transportation distance by up to 36.8%, cost savings by up to 13.35%, and time savings by up to 28.22%. Artificial intelligence allows for identifying and sorting waste with an accuracy ranging from 72.8 to 99.95%. Artificial intelligence combined with chemical analysis improves waste pyrolysis, carbon emission estimation, and energy conversion. We also explain how efficiency can be increased and costs can be reduced by artificial intelligence in waste management systems for smart cities.
引用
收藏
页码:1959 / 1989
页数:31
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