Abstract:

To enhance the scientificity and effectiveness of work safety management in mining enterprises, modeling and simulation studies were conducted focusing on the miners' safety responsibility pressure. A SD causal feedback diagram was constructed based on miners' work safety responsibility pressure scale, and questionnaire data was collected. The BPNN reflecting the relationship between independent and dependent variables was built by using the Neural Network Fitting tool in Matlab 2023b. Furthermore, a system flowchart was established through the Simulink platform to conduct dynamic simulation and scenario simulation. The results show that miners' work safety responsibility pressure and the pressure dimensions tend to increase over time. When pressure sources act independently, the punishment apprehension plays a dominant role, whereas when pressure sources act synchronously, the cognitive pressure dimension demonstrates nonlinear inhibition. In the process of pressure management, comprehensive consideration and balanced adjustment of multidimensional stressors should be emphasized to enhance the effectiveness of work safety management system in coal mining enterprises.

Key words: system dynamics(SD), backpropagation neural networks (BPNN), miner, work safety responsibility pressure, scenario simulation