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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.

, authors=Tiehua CHEN, Ruikang LIU, Hongxia LI, authorsList=Tiehua CHEN, Ruikang LIU, Hongxia LI, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1282032447655231903, articleId=1282032438465511832, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于SD-BPNN法的矿工安全生产责任压力演化建模与仿真, columnId=1149733271296193071, journalTitle=中国安全科学学报, columnName=安全社会科学与安全管理, runingTitle=null, highlight=null, articleAbstract=

为提高煤矿企业安全生产管理的科学性和有效性,以矿工安全生产责任压力为主题进行建模与仿真研究。根据矿工安全生产责任压力量表构建系统动力学(SD)因果反馈图,并收集问卷数据;基于Matlab 2023b软件的神经网络拟合工具,构建反映自变量与因变量关系的反向传播神经网络(BPNN);通过Simulink平台构建系统流图,进而进行动态仿真与情景模拟。研究结果表明:矿工安全生产责任压力及其各维度压力随时间呈现不断扩大趋势;压力源独立作用时,惩罚担忧发挥主导作用,压力源同步作用时,认知压力维度呈现非线性抑制;在压力管理过程中,应注重多维度压力源的综合考量与平衡调整,从而提升煤矿企业安全生产管理体系的效能。

, authors=陈铁华副教授, 刘瑞康, 李红霞教授, authorsList=陈铁华副教授, 刘瑞康, 李红霞教授, authorCompany=null, correspAuthors=null, authorNote=

陈铁华(1972—),男,江苏丹阳人,博士,副教授,主要从事质量管理与安全管理方面的教学与科研工作。E-mail:

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陈铁华(1972—),男,江苏丹阳人,博士,副教授,主要从事质量管理与安全管理方面的教学与科研工作。E-mail:

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陈铁华(1972—),男,江苏丹阳人,博士,副教授,主要从事质量管理与安全管理方面的教学与科研工作。E-mail:

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基于SD-BPNN法的矿工安全生产责任压力演化建模与仿真
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陈铁华副教授 , 刘瑞康 , 李红霞教授
中国安全科学学报 | 安全社会科学与安全管理 2025,35(9): 70-77
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中国安全科学学报 |安全社会科学与安全管理 2025 , 35 (9) : 70 -77
基于SD-BPNN法的矿工安全生产责任压力演化建模与仿真
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陈铁华副教授 , 刘瑞康, 李红霞教授
作者信息
  • 西安科技大学 管理学院,陕西 西安 710054
作者简介:

陈铁华(1972—),男,江苏丹阳人,博士,副教授,主要从事质量管理与安全管理方面的教学与科研工作。E-mail:

Modeling and simulation research of miners' work safety responsibility pressure evolution based on SD-BPNN method
Tiehua CHEN , Ruikang LIU, Hongxia LI
Affiliations
  • College of Management, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
出版时间: 2025-09-28 doi: 10.16265/j.cnki.issn1003-3033.2025.09.1537
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为提高煤矿企业安全生产管理的科学性和有效性,以矿工安全生产责任压力为主题进行建模与仿真研究。根据矿工安全生产责任压力量表构建系统动力学(SD)因果反馈图,并收集问卷数据;基于Matlab 2023b软件的神经网络拟合工具,构建反映自变量与因变量关系的反向传播神经网络(BPNN);通过Simulink平台构建系统流图,进而进行动态仿真与情景模拟。研究结果表明:矿工安全生产责任压力及其各维度压力随时间呈现不断扩大趋势;压力源独立作用时,惩罚担忧发挥主导作用,压力源同步作用时,认知压力维度呈现非线性抑制;在压力管理过程中,应注重多维度压力源的综合考量与平衡调整,从而提升煤矿企业安全生产管理体系的效能。

系统动力学(SD)  /  反向传播神经网络(BPNN)  /  矿工  /  安全生产责任压力  /  情景模拟

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
陈铁华副教授, 刘瑞康, 李红霞教授. 基于SD-BPNN法的矿工安全生产责任压力演化建模与仿真. 中国安全科学学报, 2025 , 35 (9) : 70 -77 . DOI: 10.16265/j.cnki.issn1003-3033.2025.09.1537
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
  • 国家社会科学基金资助(20XGL025)
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doi: 10.16265/j.cnki.issn1003-3033.2025.09.1537
  • 接收时间:2025-04-13
  • 首发时间:2026-07-09
  • 出版时间:2025-09-28
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  • 收稿日期:2025-04-13
  • 修回日期:2025-07-15
基金
国家社会科学基金资助(20XGL025)
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    西安科技大学 管理学院,陕西 西安 710054
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2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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