Safety Evaluation Model Detection of Jacking Form Work System Based on BP Neural Network

Heinrich’s law identifies people as the primary cause of accidents. Human factors must be controlled in safety management to prevent production accidents. Therefore, to ensure the safe construction of the top die system, and improve the productivity of the top die system. Based on the theory of human factor engineering, this paper will conduct safety evaluation on the construction of top die system, deeply study the application of human factor engineering in the construction safety evaluation of top die system, and improve the safety management system of top die system construction. A neural network algorithm based on BP is used to test the scientific validity of the model. As a result of learning and training the sample data collected from the actual engineering project, the output value and predicted value of the final BP neural network algorithm are compared in order to determine the model’s scientific validity and effectiveness.