Dynamic Perception and Evaluation of Electric Power Job Site Dangerous Situation Based on Variable Precision Rough Set

In order to improve the intelligent informatization level of electric power production safety management and reduce the occurrence of safety accidents, the paper constructs a perception scheme of electric power production site that integrates multi-dimensional information such as personnel location, equipment status, and image information. Combined with static factors such as organization and management, team situation, and personal abilities of operators, a comprehensive analysis is carried out to establish a dynamic power operation site dangerous situation awareness and evaluation method. This method uses a multi-sensor network to realize the real-time perception of the image and position information of dynamic power work objects. The variable precision fuzzy theory is used to calculate the weights of static and dynamic hazard factors at dynamic power operation sites, and a hazard situation assessment model is constructed. It realizes the digital representation of the situation of the operation scene, and then realizes the assessment and early warning of the dangerous situation in the case of dynamic power monitoring. This method prevents the occurrence of safety accidents and enhances the overall safety of power operations.