Impact risk dynamic early warning method based on analytic hierarchy process and fuzzy mathematics

A technology of fuzzy mathematics and AHP, applied in the field of coal mine safety, can solve the problems of insufficient early warning efficiency and accuracy, and achieve the effect of high early warning efficiency, scientific early warning and reliable results.
CN111784136APending Publication Date: 2020-10-16CCTEG CHINA COAL RES INST

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CCTEG CHINA COAL RES INST
Publication Date
2020-10-16

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Abstract

The invention discloses an impact risk dynamic early warning method based on hierarchical analysis and fuzzy mathematics, and the method comprises the following steps: 1, determining an early warningobject and an impact risk impact factor suitable for the early warning object, i.e., an early warning index; 2, determining the impact risk grade of each early warning index to form an impact risk early warning index system; 3, based on an APH (analytic hierarchy process) theory, determining the weight of each early warning index to form a fuzzy weight vector A; 4, based on a fuzzy mathematical theory, establishing a single-factor fuzzy early warning set of each index, and forming a factor early warning fuzzy matrix R; 5, calculating a fuzzy comprehensive evaluation vector B = A * R of the early warning object; and 6, determining the impact danger level of the early warning object according to the maximum membership principle. According to the method, various rock burst early warning indexes are comprehensively considered, the early warning model is adopted to perform impact risk early warning on the early warning object, the early warning is more scientific, the early warning efficiency is higher, and the result is more reliable.
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Description

technical field

[0001] The invention relates to the technical field of coal mine safety, in particular to a dynamic warning method of impact risk based on hierarchical analysis and fuzzy mathematics. Background technique

[0002] With the increase of coal mine mining depth and mining intensity in my country, coal mines are facing an increasingly severe situation of rock burst, and rock burst evaluation and real-time monitoring and early warning are effective measures for rock burst prevention. At the same time, the "Detailed Rules for the Prevention and Control of Rock Burst in Coal Mine" issued in 2018 stipulates that when mining rock burst coal seams, comprehensive prevention and control measures such as prediction of rock burst risk, monitoring and early warning, prevention and treatment, effect inspection, and safety protection must be taken; Rockburst mines must establish a shock risk monitoring system that combines regional and local areas. Regional monitoring should c...

Claims

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