AI-Powered Predictive Maintenance in Smart City IoT Systems

Authors

https://doi.org/10.22105/raise.v2i1.33

Abstract

The emergence of Smart Cities, supported by the Internet of Things (IoT), necessitates efficient maintenance strategies to ensure operational reliability. This paper explores the application of AI-powered Predictive Maintenance (PdM) in Smart City IoT systems, addressing the challenge of unexpected system failures. By leveraging machine learning algorithms, real-time data analytics, and sensor technology, the study develops a framework for PdM that optimizes resource allocation and minimizes downtime. The results demonstrate significant improvements in system reliability and cost-effectiveness compared to traditional maintenance approaches. This research provides valuable insights for city planners and stakeholders aiming to enhance urban infrastructure management through intelligent maintenance solutions.

Keywords:

AI, Predictive maintenance, IoT, Smart cities, Urban infrastructure

References

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Published

2025-01-10

Issue

Vol. 2 No. 1 (2025): Research Annals of Industrial and Systems Engineering

Section

Articles

How to Cite

AI-Powered Predictive Maintenance in Smart City IoT Systems. (2025). Research Annals of Industrial and Systems Engineering, 2(1), 19-26. https://doi.org/10.22105/raise.v2i1.33