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eISSN: 2083-5906
ISSN: 1230-1485
ISSN: 1230-1485
ORIGINAL RESEARCH
Resilience Assessment and Technological
Innovation-Driven Pathway Analysis
for Coal Mine Environment Safety Risks
1
Key Laboratory of Gas Control in Coal Mines, National Mine Safety Administration,
Anhui University of Science and Technology, Huainan, Anhui, 232001, China
2
College of Economy and Management, Anhui University of Science and Technology, Huainan, Anhui, 232001, China
3
State Key Laboratory of Digital and Intelligent Technology for Unmanned Coal Mining,
Anhui University of Science and Technology, Huainan, Anhui, 232001, China
Submission date: 2025-03-18
Final revision date: 2025-07-21
Acceptance date: 2025-10-12
Online publication date: 2025-12-03
Corresponding author
Guisheng Zhang
Key Laboratory of Gas Control in Coal Mines National Mine safety Administration, Anhui University of Science and Technology, NO.168 taifeng street, 232001, huainan, China
Key Laboratory of Gas Control in Coal Mines National Mine safety Administration, Anhui University of Science and Technology, NO.168 taifeng street, 232001, huainan, China
KEYWORDS
coal mine enterprisesenvironmental safety risksresilience assessmenttechnological innovationpathway analysis
TOPICS
ABSTRACT
To deeply explore the risk factors and evolution paths contained in coal mine accidents and promote
the transformation and upgrading as well as high-quality development of the coal industry, this paper
adopts text mining and safety risk topic modeling to subdivide the safety risk system of coal mining
enterprises into five subsystems: human resource allocation, establishment of scientific research
and innovation platforms, technological innovation, policy support, and enterprise system construction.
The network analytic hierarchy process and CRITIC weighting method are applied to calculate
the comprehensive weights of each risk factor. Taking a certain coal mine in Qinghai as the research
object, the system dynamics model is used to construct the causal loop diagram and stock-flow diagram
of the safety risk resilience system of coal mining enterprises, and to simulate and analyze the impact
of each risk factor on the overall safety risk resilience level of the case coal mine. The key technological
innovation factor parameters are regulated to analyze the sensitivity changes of the safety production
rate and safety risk resilience level of coal mining enterprises under different scenarios. The results
show that: (1) The technological innovation and human resource allocation subsystems have the greatest
impact on the safety risk resilience of coal mining enterprises, followed by the enterprise system
construction, scientific research and innovation platform establishment, and policy support subsystems.
(2) Increasing investment in safety, such as talent cultivation and technological innovation, can enhance
the safety risk resilience level and shorten the time required to reach the expected safety value.
Conversely, it will reduce the safety risk resilience level and delay the time to reach the expected safety
value. (3) Further simulation and evaluation of the technological innovation subsystem reveal that the
factors influencing the safety risk resilience of coal mining enterprises in order are construction survey
and monitoring, support structure, construction design, mining plan, and engineering technology application. (4) The change trend of the conversion rate of technological innovation investment to
engineering technology application and construction survey and monitoring is generally in a logistic
“S” shape, mainly due to the time delay and lag of the benefits generated by safety investment.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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| ISSN: | 1230-1485 |
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