OpenWasteAI-开放数据、物联网和人工智能促进资源有限社区的循环经济和废物追踪

IF 2.1 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Technology and Society Magazine Pub Date : 2024-03-01 DOI:10.1109/MTS.2024.3372610

Faisal Shennib;Ursula Eicker;Ketra Schmitt

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引用次数: 0

摘要

在本文中，我们将介绍全球和地方城市固体废物回收工作中存在的几个相互关联的问题。该介绍旨在说明缺乏适当的全球废物追踪和社区一级的废物污染是如何相关联的。本文将阐述如何利用物联网（IoT）、人工智能（AI）和开放数据技术来解决这些问题。我们将研究这一解决方案在资源受限环境中的现有和可能的适用性，而不是仅用于典型的 "智慧城市"。最后，我们将讨论这种方法的风险和局限性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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OpenWasteAI—Open Data, IoT, and AI for Circular Economy and Waste Tracking in Resource-Constrained Communities

In this Article, we will introduce several interrelated problems present in municipal solid waste recycling efforts, both globally and locally. The introduction serves to demonstrate how the lack of adequate global waste tracking and community-level waste contamination are related issues. This article elaborates on how these issues could be addressed with the Internet of Things (IoT), artificial intelligence (AI), and open data technology deployment. We will investigate the existing and possible applicability of this solution in resource-constrained environments, as opposed to exclusive use in the typical “smart city” context. Finally, we will discuss the risks and limitations of this approach.

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来源期刊

IEEE Technology and Society Magazine 工程技术-工程：电子与电气

CiteScore

3.00

自引率

13.60%

发文量

审稿时长

>12 weeks

期刊介绍： IEEE Technology and Society Magazine invites feature articles (refereed), special articles, and commentaries on topics within the scope of the IEEE Society on Social Implications of Technology, in the broad areas of social implications of electrotechnology, history of electrotechnology, and engineering ethics.