Research on the Construction of an Intelligent Safety Assurance System for Building Construction and Accident Prevention Strategies and Network Security Technology

Abstract

As society's technology evolves, especially with advancements in big data and artificial intelligence, management systems across various industries need continuous innovation.To effectively prevent accidents in the construction industry, this paper relies on current laws, regulations, and standards to deeply research strategies for building a safety assurance system. Through analyzing \"Supervision Penalty\" documents and accident investigation reports from the Ministry of Housing and Urban-Rural Development over the past three years, it has been determined that hidden dangers, inspections, training and education, systems, supervision, technical briefings, investment, and emergency rescue are the eight major factors leading to accidents. Based on these findings, we have constructed six sub-systems within the safety assurance framework, encompassing risk classification and control, hidden danger identification and treatment, safety inspections, safety education and training, systemic guarantees, oversight, and technological and financial support. These sub-systems collectively form the construction safety guarantee system. Verified through questionnaire surveys, this system receives an average rating of nearly 8 points, demonstrating its application value in reducing production safety risks. Finally, targeted prevention measures based on each sub-system are proposed for common injury types such as falls from height, struck-by incidents, machinery injuries, and collapses. This further highlights the system's characteristics of being straightforward, easy to operate, and highly effective in preventing accidents.