Abstract: Civil infrastructure, including bridges, public buildings, and industrial facilities, is subjected to continuous environmental loading, material degradation, and aging, all of which pose significant risks to public safety. Traditional methods of structural health monitoring (SHM)—relying heavily on periodic visual inspections and manual data collection—are often time-consuming, subjective, and prone to human error. This paper explores the transformative role of Artificial Intelligence (AI) in modern facility and bridge safety monitoring. By integrating Internet of Things (IoT) sensor networks, computer vision, and advanced machine learning algorithms (such as deep learning and anomaly detection models), AI enables real-time, autonomous, and predictive structural health assessment. This study outlines a methodological framework for deploying AI-driven SHM systems, analyzes performance metrics using simulated predictive maintenance data, and discusses the challenges and future directions of intelligent infrastructure management.
Keywords: Artificial Intelligence (AI), Civil infrastructure, including bridges, intelligent infrastructure management.
Title: The Role of Artificial Intelligence in Monitoring the Safety of Facilities and Bridges
Author: Jumah BinObaid
International Journal of Civil and Structural Engineering Research
ISSN 2348-7607 (Online)
Vol. 14, Issue 1, April 2026 - September 2026
Page No: 60-62
Research Publish Journals
Website: www.researchpublish.com
Published Date: 05-August-2026
