Earticle

The modern industrial environment is undergoing rapid changes driven by advancements in technology, creating new challenges for safety engineering, particularly in the construction industry. Traditional safety engineering models, which focus on physical accident prevention and post-incident responses, are proving insufficient to address the increasing complexity and dynamic risks introduced by the 4th Industrial Revolution. This study aims to propose a next-generation safety engineering model specifically tailored to the construction industry. The model integrates advanced technologies, such as Artificial Intelligence (AI), the Internet of Things (IoT), big data, and predictive analytics, to enable real-time risk detection, proactive management, and automated responses. By addressing the limitations of static risk management and human-centered approaches, the proposed model improves the ability to analyze and mitigate both physical and systemic risks. This research contributes to the field of safety engineering by introducing an innovative framework that combines modern digital tools with a systematic approach to risk management, ensuring enhanced safety and operational efficiency on construction sites. The study's outcomes demonstrate the model's effectiveness in identifying risks, predicting potential hazards, and implementing preventive measures to reduce accidents and enhance workplace safety.