Abstract
The risk assessment of mine water inrush is a complicated theoretical and technical problem that concerns hydrogeology conditions, engineering geology, mining conditions, rock mechanics, etc. To address this problem, a software system for the risk assessment of mine water inrush was established. From the matter-element extension theory, combined with the entropy-weight method, a matter-element extension entropy-weight model was constructed to evaluate mine safety. Eleven indices were determined based on the principles of science, rationality, operability, and representation, and each index was quantitatively graded. This system had built-in abundant cases of typical mine water inrush so users could determine the value of the parameter according to the analogy of water inrush cases with similar conditions. Combined with the analysis of typical water inrush cases, a database of water control measures with a strong advisory function was established. Finally, through the case study of a typical mine, it was found that the results of this study agreed with the practical ones, indicating that this system could improve the accuracy and availability of the risk assessment of mine water inrush.
Highlights
With the frequent occurrence of mine water inrush in recent years, increasing attention is being paid to the risk assessment of mine water inrush
Li and Chen set up an evaluation model by using a grey relational analysis and analytic hierarchy process (AHP), whose availability improved the uncertainty between indexes of mine water inrush effects and reflected the degree of importance for each index of mine water inrush effects [5]
The correlation degree of each index is calculated by a simple correlation function, the weight of each index is calculated by the entropy weight method, and a certain calculation process is introduced into the analysis program to calculate the mine water inrush risk level
Summary
With the frequent occurrence of mine water inrush in recent years, increasing attention is being paid to the risk assessment of mine water inrush. Li and Chen set up an evaluation model by using a grey relational analysis and analytic hierarchy process (AHP), whose availability improved the uncertainty between indexes of mine water inrush effects and reflected the degree of importance for each index of mine water inrush effects [5]. Qiu et al used an innovative combination of methods to assess the risk of water inrush based on the fuzzy Delphi analytic hierarchy process (FDAHP) and grey relational analysis (GRA) [10]. Considering the diversity of influencing factors of mine water inrush accidents, we sought to establish a human–computer interactive system used to assess the water inrush risk level of mines based on a matter–element extension entropy-weight model. The system can expand the range of values of the correlation function, transform a definite single value to an interval value of the evaluation index, and use the entropy method to calculate the weight coefficient of the evaluation index, which can overcome the subjectivity of the weight coefficient and avoid human interference [12,13]
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