Strip mine safety risk evaluation method based on ANP-grey fixed weight clustering

Abstract

The invention provides a strip mine safety risk evaluation method based on ANP-grey fixed weight clustering, and the method comprises the following steps: 1, organizing an expert group, and determining an element set of strip mine safety risks; step 2, carrying out two-by-two importance evaluation on the risk element set by an expert and constructing an ANP network structure; 3, constructing an unweighted hypermatrix, calculating a weighted hypermatrix on the basis of the unweighted hypermatrix, further calculating a limit hypermatrix, and obtaining the weight of each risk factor; 4, determining a gray comment set according to the characteristics of the safety risk of the strip mine; 5, determining a gray sample matrix and a gray possibility degree function; step 6, calculating a grey evaluation coefficient and a grey evaluation matrix based on a grey possibility degree function; and step 7, assigning a risk grey class evaluation weight according to a grey level based on the grey evaluation matrix, and calculating a comprehensive evaluation result by combining the weight of ANP. And decision makers of mine enterprises are helped to carry out key management and control on key risk factors in time.

Description

technical field [0001] The invention relates to the technical field of risk assessment, in particular to an open-pit mine safety risk assessment method based on Analytic Network Process (ANP) and grey weighted cluster analysis method. Background technique [0002] At present, domestic mines mainly rely on the experience management model to manage the safety of open-pit mines, but this management model often takes emergency measures after accidents. Although the emergency plans and systems are relatively complete, the prevention of safety accidents is still very lacking. Because it is difficult to effectively predict the safety accident before the accident occurs, it often causes very serious economic losses and even casualties after the accident occurs. Therefore, it is necessary to analyze the safety risks of open-pit mines before accidents occur, in order to prevent related accidents and reduce losses. SUMMARY OF THE INVENTION [0003] In order to overcome the deficienc...

AI Technical Summary

Problems solved by technology

[0002] At present, domestic mines mainly rely on the experience management mode to manage the safety of open-pit mines, but this management mode often takes emergency measures after the accident. Although the emergency plan and system are relatively complete, the prevention of safety accidents is still very lacking.

Because it is difficult to effectively predict safety accidents before the accident, it often causes very serious economic losses and even casualties after the accident.

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