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.

Pending Publication Date: 2020-10-16
CCTEG CHINA COAL RES INST
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Problems solved by technology

However, at present, most of the impact risk warnings in my country use a single indicator or combine simple models for multi-index early warning. The efficiency and accuracy of early warning can no longer meet the actual needs of coal mines.

Method used

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

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Embodiment Construction

[0032] Such as figure 1 As shown, a dynamic warning method of impact risk based on AHP and fuzzy mathematics, which is suitable for coal mines, specifically includes the following steps:

[0033] Step 1. Determine the early-warning object and the impact risk factors applicable to the early-warning object, that is, the early-warning index

[0034] The early warning object can be a range, including mine, mining area (panel or level), mining face and roadway, or a section of roadway or a monitoring point. Taking the monitoring point as an example, select the applicable impact risk early warning index set U according to the early warning object, and use u i Indicates each early warning indicator, then U=(u 1 , u 2 , u 3 , u 4 … u i ,...u n ), where n is the number of early warning indicators, including "mining stress", "roadway displacement", "roof separation", "bolt working load", "anchor cable working load" and "support resistance", etc.

[0035] Step 2: Classify the imp...

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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.

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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/02
CPCG06Q10/0635G06Q10/06393G06Q50/02
Inventor 张宁博赵善坤李宏艳秦凯邓志刚刘学王健达李云鹏王寅董怡静赵斌
Owner CCTEG CHINA COAL RES INST
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