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Smart city article details

Title	Ai-Assisted Urban Flood Prevention Services Decision-Making Framework With Multi-Dimensional Data Fusion Via Govern-Intranet
ID_Doc	6984
Authors	Fan X.; Zeng J.; Pang X.; Wang X.; Wei W.
Year	2025
Published	International Journal of Web Services Research, 22, 1
DOI	http://dx.doi.org/10.4018/IJWSR.375425
Abstract	Urban flood prevention faces challenges in real-time monitoring, data integration, and decision-making support, particularly under constraints of sensitive data security and efficient emergency response. This study proposes an artificial intelligence-assisted decision-making framework for urban flood prevention, integrating multi-dimensional data fusion via an intranet. A city-level digital twin platform is developed, combining real-time sensor data, meteorological information, and social media data using a geographic information system, the Internet of Things, and artificial intelligence algorithms. The framework ensures secure data processing through intranet-based operations, enhancing flood prediction accuracy and emergency response efficiency. The system was successfully implemented in Hebi City, Henan Province, demonstrating significant improvements in flood risk management. This research advances urban resilience and provides a scientific basis for flood management in smart cities. © 2025 IGI Global. All rights reserved.
Author Keywords	AI-Assisted Service; Cyber-Physical-Social Systems; Intranet Security; Multi-Dimensional Data Fusion; Urban Flood Management

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