Research on the Solution of Safety Management System in Power Construction Project

Abstract

Construction workers are most important in engineering construction. Their non-standard behaviors not only directly threaten the personal safety of workers, but also affect the safety, quality and progress of the overall project. The direct cause of safety accidents during construction is often the unsafe behaviors of construction workers. Therefore, effective management and response measures need to be taken to restrain workers’ behavior. Based on the construction process of substation engineering, the possible unsafe behaviors and causes of construction workers’ operations are analyzed. Based on the Internet of Things and chromatographic zone management technology, a substation site safety management system that combines intelligent video monitoring and assisted precise positioning is designed to pay attention to the behavior dynamics of workers in the construction process in real time, study the self-learning behavior algorithm to predict the future behavior of the constructors, and issue real-time warnings based on the predictions to fundamentally avoid dangerous behaviors in the construction process.