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@article{184372,
author = {Spoorthi Hokrana and Shambhavi and Sunidhi Manjunath and Dhanya C},
title = {A Blockchain-Enabled Smart City Framework for Predictive Water Pipeline Management},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {4},
pages = {1249-1261},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=184372},
abstract = {This research introduces an innovative urban water infrastructure management framework that leverages distributed ledger technology, connected sensor networks, and machine learning algorithms to revolutionize pipeline monitoring and maintenance. The proposed system establishes a comprehensive ecosystem that combines real-time sensor monitoring, advanced predictive modeling using recurrent neural networks, and decentralized decision-making mechanisms to create a transparent, efficient, and proactive approach to water infrastructure governance. Connected sensors continuously track pressure variations and flow patterns, facilitating early identification of potential leaks and system anomalies. A sophisticated artificial intelligence model employing Long Short-Term Memory networks forecasts impending pipeline failures and generates detailed maintenance recommendations. A distributed voting mechanism enables community participation in infrastructure decisions, promoting transparency and democratic governance. Automated contract execution streamlines fund allocation for authorized repairs, minimizing bureaucratic delays and operational inefficiencies. The architecture is designed with modularity, scalability, and cost-effectiveness as core principles. Through the integration of these cutting-edge technologies, the proposed solution targets significant reductions in water loss, enhanced maintenance effectiveness, and increased community involvement in urban infrastructure governance.},
keywords = {Smart cities, water management, blockchain, IoT, LSTM, predictive maintenance, smart contracts, decentralized governance},
month = {September},
}
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