Research on safety risk prediction model of working at height based on fusion technology of radar imaging and optical imaging

This study explores the application of radar imaging and machine learning in safety risk prediction for aerial work and incorporates high-resolution optical imaging technology. A safety risk prediction model based on machine learning algorithms was constructed by utilizing high-resolution radar imaging technology and optical imaging to acquire job site data, combined with advanced data preprocessing and feature extraction methods. The study demonstrated the effectiveness of the model in identifying and predicting safety risks associated with environmental, equipment, personnel and management factors in work-at-height operations. The research results provide new technical support for the safety management of work-at-height, which helps to improve the safety level and reduce the risk of accidents and is of great significance in promoting the development of safety risk management of work-at-height in the direction of intelligence and precision.