Safety risk assessment method of key personnel in infrastructure projects based on image data coupling identification

Abstract

In the course of work, people are easily affected by the complexity of the environment, so it is difficult to ensure the assessment of personnel safety risks. In view of this situation, a safety risk assessment method of key personnel in infrastructure projects based on image data coupling identification is proposed. Under the coupling recognition of image data, a comprehensive evaluation model is established by combining dynamic graph reasoning technology, and the relevant signals of the working environment of key personnel in infrastructure projects are extracted from the model, and images are obtained on the projection surfaces of the left terminal and the right terminal, so as to locate the positions of key personnel in infrastructure projects and realize the safety risk assessment of key personnel in infrastructure projects. The experimental results show that the average channel collision rate of the proposed method is low, which can greatly improve the accuracy of dangerous action identification and has good performance and effect.