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Modeling and simulation research of miners' work safety responsibility pressure evolution based on SD-BPNN method
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Tiehua CHEN, Ruikang LIU, Hongxia LI
China Safety Science Journal | 2025, 35(9) : 70 - 77
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China Safety Science Journal | 2025, 35(9): 70-77
Safety social science and safety management
Modeling and simulation research of miners' work safety responsibility pressure evolution based on SD-BPNN method
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Tiehua CHEN, Ruikang LIU, Hongxia LI
Affiliations
  • College of Management, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
Published: 2025-09-28 doi: 10.16265/j.cnki.issn1003-3033.2025.09.1537
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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.

system dynamics(SD)  /  backpropagation neural networks (BPNN)  /  miner  /  work safety responsibility pressure  /  scenario simulation
Tiehua CHEN, Ruikang LIU, Hongxia LI. Modeling and simulation research of miners' work safety responsibility pressure evolution based on SD-BPNN method[J]. China Safety Science Journal, 2025 , 35 (9) : 70 -77 . DOI: 10.16265/j.cnki.issn1003-3033.2025.09.1537
Year 2025 volume 35 Issue 9
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.09.1537
  • Receive Date:2025-04-13
  • Online Date:2026-07-09
  • Published:2025-09-28
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  • Received:2025-04-13
  • Revised:2025-07-15
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    College of Management, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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