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基于区块链的固体废物分类，具备人工智能驱动的追踪及物联网集成功能。

Blockchain based solid waste classification with AI powered tracking and IoT integration.

作者信息

Alabdali Aliaa M

机构信息

Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, P. O. Box 344, 21911, Rabigh, Saudi Arabia.

出版信息

Sci Rep. 2025 Apr 30;15(1):15197. doi: 10.1038/s41598-025-97030-2.

DOI:10.1038/s41598-025-97030-2
PMID:40307309
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12043969/
Abstract

Smart waste management is vital for reducing environmental impact and improving quality of life in smart cities. This study presents an AI-driven waste classification model that integrates IoT and Blockchain technologies. IoT-connected bins transmit data to a central server, which uses blockchain to ensure secure, transparent data storage. AI algorithms, including machine learning (ML) and deep learning (DL), classify waste in real-time, optimizing waste collection and recycling. Blockchain ensures data integrity, while ML and DL models enhance sorting efficiency. The system aims to improve waste management and sustainability through intelligent decision-making and secure data handling. Performance will be assessed using retrieval metrics and visualization tools to evaluate the impact of hybrid ML and DL models on waste detection and classification.

摘要

智能废物管理对于减少环境影响和提高智慧城市的生活质量至关重要。本研究提出了一种集成物联网（IoT）和区块链技术的人工智能驱动的废物分类模型。与物联网相连的垃圾桶将数据传输到中央服务器，该服务器使用区块链来确保数据存储的安全性和透明度。包括机器学习（ML）和深度学习（DL）在内的人工智能算法实时对废物进行分类，优化废物收集和回收。区块链确保数据完整性，而ML和DL模型提高分类效率。该系统旨在通过智能决策和安全的数据处理来改善废物管理和可持续性。将使用检索指标和可视化工具评估性能，以评估混合ML和DL模型对废物检测和分类的影响。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c8/12043969/ca9a40dcedd8/41598_2025_97030_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c8/12043969/03b20b86f659/41598_2025_97030_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c8/12043969/8978d80a00bd/41598_2025_97030_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c8/12043969/7a6c3d123e5b/41598_2025_97030_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c8/12043969/c878ab110b79/41598_2025_97030_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c8/12043969/4768a9fa642f/41598_2025_97030_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c8/12043969/ee3e33a3ec8b/41598_2025_97030_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c8/12043969/d3c7d291a2c4/41598_2025_97030_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c8/12043969/833c4dbaa1a3/41598_2025_97030_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c8/12043969/00668ac7e42c/41598_2025_97030_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c8/12043969/80362d4c584a/41598_2025_97030_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c8/12043969/e10351301887/41598_2025_97030_Fig12_HTML.jpg

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本文引用的文献

1
Integration of federated learning with IoT for smart cities applications, challenges, and solutions.将联邦学习与物联网集成用于智慧城市应用、挑战及解决方案。
PeerJ Comput Sci. 2023 Dec 6;9:e1657. doi: 10.7717/peerj-cs.1657. eCollection 2023.
2
Artificial intelligence applications in solid waste management: A systematic research review.人工智能在固体废物管理中的应用：系统研究综述。
Waste Manag. 2020 May 15;109:231-246. doi: 10.1016/j.wasman.2020.04.057. Epub 2020 May 16.
3
Application of deep learning object classifier to improve e-waste collection planning.
深度学习目标分类器在电子废物收集规划中的应用。
Waste Manag. 2020 May 15;109:1-9. doi: 10.1016/j.wasman.2020.04.041. Epub 2020 Apr 28.
4
Technologies and decision support systems to aid solid-waste management: a systematic review.辅助固体废物管理的技术与决策支持系统：一项系统综述
Waste Manag. 2017 Jan;59:567-584. doi: 10.1016/j.wasman.2016.10.045. Epub 2016 Nov 9.
5
A Dataset for Breast Cancer Histopathological Image Classification.一个用于乳腺癌组织病理学图像分类的数据集。
IEEE Trans Biomed Eng. 2016 Jul;63(7):1455-62. doi: 10.1109/TBME.2015.2496264. Epub 2015 Oct 30.
6
IoT-based smart garbage system for efficient food waste management.用于高效管理食物垃圾的基于物联网的智能垃圾系统。
ScientificWorldJournal. 2014;2014:646953. doi: 10.1155/2014/646953. Epub 2014 Aug 28.