非洲和美国智能水管理系统综述

Tosin Michael Olatunde, Fatai Adeshina Adelani, Zamathula Queen Sikhakhane
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摘要

这篇综述全面研究了智能水管理系统,重点关注其在非洲和美国的发展、实施和影响。论文深入探讨了这些系统的理论框架,包括将网络物理系统、可持续发展原则和系统理论整合到水资源管理中。论文进一步探讨了推动智能水管理的技术创新,如物联网(IoT)、人工智能(AI)和遥感。论文讨论了不同地区支持或阻碍这些进步的政策和监管框架。此外,报告还评估了智能水管理对环境、社会和经济的影响,强调了节约用水、改善清洁水获取途径和提高效率的益处。对实施智能水管理系统所面临的挑战进行了批判性分析,包括技术、财务和监管方面的障碍。还讨论了智能水管理的未来方向,强调了可扩展性和适应性的潜力,以及跨部门和国际合作的重要性。论文最后强调了在智能水管理中整合技术、政策和社区参与的必要性,并呼吁进一步开展研究与合作,以充分发挥这些系统在应对全球水资源挑战方面的潜力。关键词智能水管理、物联网(IoT)、人工智能(AI)、可持续发展、政策框架、水资源保护。
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A REVIEW OF SMART WATER MANAGEMENT SYSTEMS FROM AFRICA AND THE UNITED STATES
This review paper comprehensively examines smart water management systems, focusing on their development, implementation, and impacts within Africa and the United States. It delves into the theoretical frameworks that underlie these systems, including integrating cyber-physical systems, sustainable development principles, and systems theory in water management. The paper further explores the technological innovations driving smart water management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and remote sensing. It discusses the policy and regulatory frameworks that support or hinder these advancements in different regions. Additionally, it assesses the environmental, social, and economic impacts of smart water management, highlighting the benefits of water conservation, improved access to clean water, and efficiency gains. The challenges facing the implementation of smart water management systems are critically analyzed, including technical, financial, and regulatory obstacles. Future directions for smart water management are also discussed, emphasizing the potential for scalability, adaptation, and the importance of cross-sectoral and international collaboration. The paper concludes by underscoring the necessity of integrating technology, policy, and community engagement in smart water management efforts and calls for further research and collaboration to harness the full potential of these systems in addressing global water challenges. Keywords: Smart Water Management, Internet of Things (IoT), Artificial Intelligence (AI), Sustainable Development, Policy Frameworks, Water Conservation.
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