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A comprehensive risk assessment method for hot work in underground mines based on G1-EWM and unascertained measure
Xiaoqiang Ding1, Xiangliang Tian2, Jinhui Wang3
1College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai, 201306, China.
Scientific Reports
|March 14, 2024
View abstract on PubMed
Summary
This study introduces a novel risk assessment method for hot work in underground mines, combining G1-EWM weighting and unascertained measurement theory. The method effectively identifies high-risk areas, enhancing safety protocols for mining operations.
Area of Science:
- Mining Engineering
- Risk Management
- Safety Science
Background:
- Hot work operations in underground mines pose significant accident risks.
- Existing risk assessment methods may lack precision for complex mining environments.
- Effective safety protocols are crucial for preventing accidents during hot work.
Purpose of the Study:
- To develop and validate a robust risk assessment method for hot work in underground mines.
- To integrate G1-EWM weighting and unascertained measurement theory for enhanced accuracy.
- To provide a practical tool for identifying and mitigating hot work risks in mining.
Main Methods:
- Construction of a single indicator measurement matrix using unascertained measurement theory.
- Establishment of a risk assessment index system for underground hot work.
Main Results:
- The proposed method successfully evaluated risk levels for hot work in metal mine tunnels (IV - High Risk) and vertical shafts (III - Moderate Risk).
- Evaluation results demonstrated consistency with on-site risk assessments, validating the model's feasibility.
- The method provides a reliable assessment of hot work risks in diverse underground mining scenarios.
Conclusions:
- The combined G1-EWM and unascertained measurement model offers a unique and effective strategy for hot work risk management in underground mines.
- The developed model possesses both theoretical significance and practical applicability for improving mine safety.
- Future research should explore model refinement for broader applicability and integration of advanced analytical techniques.