INDECS, Vol. 23 No. 3, 2025.
Original scientific paper
https://doi.org/10.7906/indecs.23.3.11
AI-based Critical Infrastructure Monitoring and Incident Analysis in Smart Cities
Laszlo Ady
orcid.org/0000-0001-6702-6000
; Óbuda University – Doctoral School on Safety and Security Sciences, Budapest, Hungary
*
Peng Zhang
; Óbuda University – Doctoral School on Safety and Security Sciences, Budapest, Hungary
Richard Haddad
; Óbuda University – Doctoral School on Safety and Security Sciences, Budapest, Hungary
* Corresponding author.
Abstract
As urbanization accelerates globally, the development of smart cities has become imperative to address the increasing complexity of urban challenges. Critical infrastructure, such as transportation systems, energy grids, and water supply networks, plays a pivotal role in ensuring the seamless functioning of urban environments. This article presents a comprehensive framework for integrating Artificial Intelligence in monitoring and analysing critical infrastructure within smart cities. The proposed system employs advanced sensor networks, Internet of Things devices, and data analytics to gather real-time information from the city’s critical infrastructure components. Machine Learning algorithms are then applied to process and analyze the collected data, enabling the system to identify patterns, anomalies, and potential vulnerabilities. The integration of artificial intelligence facilitates predictive maintenance, early detection of faults, and optimization of resource allocation, contributing to the overall resilience and efficiency of urban infrastructures.
Keywords
smart city; critical infrastructure; monitoring; anomaly detection; AI
Hrčak ID:
332940
URI
Publication date:
30.6.2025.
Visits: 794 *