Smart water grids and infrastructure: Emerging technologies for real-time water quality monitoring
1 Department of Civil Engineering, Government Polytechnic, Karwar, Karnataka, India.
2 Department of Civil Engineering, Government Polytechnic, Belgaum, Karnataka, India.
3 Department of Civil Engineering, Government Polytechnic, Bellary Karnataka, India.
Review Article
World Journal of Advanced Research and Reviews, 2023, 17(01), 1380-1386
Article DOI: 10.30574/wjarr.2023.17.1.0114
Publication history:
Received on 11 December 2022; revised on 22 January 2023; accepted on 28 January 2023
Abstract:
The increasing global demand for clean water, coupled with aging infrastructure and environmental concerns, necessitates the development of smart water grids for efficient management and real-time water quality monitoring. Emerging technologies such as the Internet of Things (IoT), wireless sensor networks (WSNs), artificial intelligence (AI), blockchain, and big data analytics are revolutionizing the way water quality is monitored and managed. These technologies enable continuous data collection, real-time analysis, and predictive decision-making, ensuring the safety and sustainability of water resources. IoT-based smart sensors provide instant feedback on key water quality parameters, while AI-driven analytics optimize leak detection, pollution control, and resource allocation. Additionally, blockchain technology enhances data security and transparency in water governance. Despite the significant advancements, challenges such as high implementation costs, data security concerns, and integration with traditional water distribution networks persist. This paper explores the latest developments in smart water grids and infrastructure, focusing on their role in sustainable water management and real-time monitoring. Future research should emphasize cost-effective IoT solutions, AI-driven predictive analytics, and blockchain integration to achieve a resilient and intelligent water management system.
Keywords:
Smart water grids; Real-time monitoring; IoT; Artificial intelligence; Blockchain; Wireless sensor networks; Water quality
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0