A cyber physical sustainable smart city framework toward society 5.0: Explainable AI for enhanced SDGs monitoring

Q1 Economics, Econometrics and Finance
Ali H. Hassan , Elsadig Musa Ahmed , Jamal M. Hussien , Riza bin Sulaiman , Mansoor Abdulhak , Hasan Kahtan
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Abstract

Industry 4.0 has revolutionized modern urbanization and smart cities. However, the relationship between Industry 4.0 technology advances such as Artificial Intelligence (AI) and their impact on the earth, environment, people, and biological ecosystems needs further consideration, particularly during pandemics like COVID-19. This paper proposes a cyber-physical Industry 5.0 framework that is compliant with the Sustainable Development Goals (SDGs) defined by the United Nations (UN) in general and SDG 11 (Sustainable Cities and Communities) in particular. The framework targets three main pillars of SDGs from a technical perspective: global society, economy, and environment. It breaks down the cyber-physical system (CPS) into smaller components, linking them to each of the 17 SDGs and grouping them into broader categories. These components use four leading technologies: blockchain for secure data handling, B5G network function virtualizations, edge-cloud computing for scalable and flexible data processing and AI to deliver insights into the model’s data. This paper addresses the challenge of monitoring the indicators of 17 SDGs by utilizing Industry 5.0 advancements. It offers practical validation of the framework through use cases in energy and water management. Results demonstrate how the framework can enhance SDG monitoring’s precision, transparency, and scalability while providing stakeholders with helpful information.
工业 4.0 彻底改变了现代城市化和智慧城市。然而,人工智能(AI)等工业 4.0 技术进步与其对地球、环境、人类和生物生态系统的影响之间的关系需要进一步考虑,尤其是在 COVID-19 等流行病期间。本文提出了一个符合联合国可持续发展目标(SDGs),特别是可持续发展目标 11(可持续城市和社区)的网络物理工业 5.0 框架。该框架从技术角度瞄准了可持续发展目标的三大支柱:全球社会、经济和环境。它将网络物理系统(CPS)分解成更小的组成部分,将它们与 17 个可持续发展目标中的每个目标联系起来,并将它们归入更广泛的类别。这些组件采用了四种领先技术:用于安全数据处理的区块链、B5G 网络功能虚拟化、用于可扩展和灵活数据处理的边缘云计算,以及用于洞察模型数据的人工智能。本文通过利用工业 5.0 的先进技术来应对监测 17 个可持续发展目标指标的挑战。它通过能源和水资源管理中的用例对该框架进行了实际验证。结果表明了该框架如何提高可持续发展目标监测的精确度、透明度和可扩展性,同时为利益相关者提供有用的信息。
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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来源期刊
Research in Globalization
Research in Globalization Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
8.00
自引率
0.00%
发文量
31
审稿时长
79 days
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