WO2016090883A1 - Procédé de prévision avancée d'inondation de couche de séparation de toit d'exploitation en étages secondaires reposant sur une intégration d'informations multisource - Google Patents

Procédé de prévision avancée d'inondation de couche de séparation de toit d'exploitation en étages secondaires reposant sur une intégration d'informations multisource Download PDF

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Publication number
WO2016090883A1
WO2016090883A1 PCT/CN2015/081601 CN2015081601W WO2016090883A1 WO 2016090883 A1 WO2016090883 A1 WO 2016090883A1 CN 2015081601 W CN2015081601 W CN 2015081601W WO 2016090883 A1 WO2016090883 A1 WO 2016090883A1
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main control
water
stope
roof
control factor
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PCT/CN2015/081601
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English (en)
Chinese (zh)
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李文平
王启庆
李小琴
孙如华
乔伟
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中国矿业大学
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Publication of WO2016090883A1 publication Critical patent/WO2016090883A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity

Definitions

  • the invention relates to the field of coal mining, and particularly relates to a method for predicting the fault of the water in the roof of the stope based on multi-source information fusion.
  • Water inrush is one of the four major disasters in coal mines and is a major coal mine disaster alongside gas accidents.
  • a special type of water damage - overburden water and water damage began to appear in Chongqing Nantong Coal Mine, Shandong Jining In the coal mining process of No. 2 Coal Mine, Huaibei Haiyan Coal Mine and Yangliu Coal Mine, Huainan Xinji No. 1 Mine, typical outburst water surges occurred. Because of the sudden large amount of water and great harm during the sudden water outburst, Often the work surface is flooded and even casualties.
  • the prevention and control of the water damage in the layer is mainly realized by the “cut-off hole” or “drainage hole” of the separated layer water.
  • the prevention and control of the water damage in the separated layer has certain blindness.
  • the present invention provides a new type of water damage characteristic of the separation of the water in the roof of the stope, and provides a multi-source information fusion-based prediction of the superimposed water damage of the stope roof.
  • the method can not only guide the safe production of coal mines, but also facilitate the timely adoption of targeted prevention and control measures.
  • a method for predicting the fault of water in the roof of the stope based on multi-source information fusion comprising the following steps:
  • the risk assessment map the statistical analysis of the risk index of the separated water hazard is carried out, and the threshold of the division is determined to form a zone map for the risk assessment of the water damage of the roof of the stope.
  • the main controlling factors affecting the water damage of the roof of the stope include: aquifer thickness, aquifer bearing head, drilling unit water inflow (q value), recoverable coal seam thickness, hard rock thickness , the strength coefficient and the thickness of the aquifer;
  • the aquifer thickness refers to the thickness of the aquifer that replenishes the separation space;
  • the thickness of the hard rock refers to the thickness of the upper hard rock that produces the separation layer opposite to the lower soft rock;
  • the intensity coefficient refers to the ratio of the uniaxial compressive strength of the upper hard rock to the lower soft rock, wherein the upper hard rock is stronger and the lower soft rock is less strong;
  • the thickness of the aquifer is The thickness of the aquifer between the separation layer and the water-conducting fracture zone.
  • a thematic map of each main control factor is established, specifically: first, quantitatively analyzing each main control factor index, and then using GIS to interpolate the quantized point data of each main control factor to generate a research
  • the contour map of the area is finally mapped according to the contour map of the study area.
  • the main control factors are evaluated by the analytic hierarchy process (AHP) method, and the weights of the main control factors on the water damage of the roof are calculated.
  • AHP analytic hierarchy process
  • the specific analysis is as follows: firstly, the hierarchical analysis of each main control factor is constructed. Matrix (AHP matrix), then use the expert scoring method to score the main control factors, construct the judgment matrix of the hierarchical water damage analysis (AHP evaluation), and finally calculate the super-layer water damage from the main control factors according to the judgment matrix. The weight of the influence.
  • the spatial superposition function of the GIS is used to superimpose the thematic maps of the normalized main control factors, and the risk assessment model for the separated water hazard is:
  • VI is the risk index
  • W k is the influence weight of the main control factors
  • f k (x, y) is the single factor influence value function
  • (x, y) is the geographic coordinate
  • n is the number of the main control factors .
  • the partition map of the risk assessment of the water risk of the plate is specifically as follows: Firstly, the frequency histogram statistical analysis of the water risk index of the separated layer is carried out. The natural discontinuous grading method within the GIS can be used to classify the statistical analysis results of the frequency histogram. The area map of the risk assessment of the water damage of the top plate of the field is divided into areas such as A, B, C, D... according to the risk of the outburst water bursting from small to large.
  • the beneficial effects the multi-source information fusion based on the super-predictive prediction method for the off-site water damage of the stope roof, based on the existing geological conditions of the mine, and the GIS as the operation platform according to the multi-source information fusion theory
  • Advance prediction and evaluation analysis of the risk of water damage from the top of the field can achieve the purpose of preventing and controlling the water damage of the roof of the stope.
  • the method for predicting the fault of the water in the roof of the stope based on multi-source information fusion includes the following steps:
  • the main controlling factors affecting the water damage of the roof of the stope include: aquifer thickness, aquifer bearing head, drilling unit water inflow (q value), recoverable coal seam thickness, hard rock thickness, strength coefficient and aquifer thickness
  • the thickness of the aquifer refers to the thickness of the aquifer that replenishes the separation space;
  • the thickness of the hard rock refers to the thickness of the upper hard rock that is separated from the lower soft rock;
  • the strength coefficient refers to The ratio of the uniaxial compressive strength of the upper hard rock to the lower soft rock, wherein the upper hard rock is stronger and the lower soft rock is less strong;
  • the thickness of the aquifer is the separation layer and the water guiding fracture zone. The thickness of the aquifer between the two.
  • the step is specifically as follows: firstly, the main control factor indicators are quantitatively analyzed, and then the quantized point data of each main control factor is interpolated by using GIS to generate a contour map of the study area, and finally according to the contour of the study area.
  • the distribution map establishes a map corresponding to the main control factors.
  • the hierarchical analysis matrix (AHP matrix) of each main control factor is constructed first, and then the expert scoring method is used to score the main control factors, and the judgment matrix of the hierarchical water damage analysis and evaluation (AHP evaluation) is constructed. Finally, according to the judgment matrix, the weight of each main control factor on the water damage of the roof is calculated, and the consistency of the calculation results is tested.
  • the weights of the main control factors are normalized, and the thematic maps of the normalized main control factors are established, which are determined according to AHP.
  • the weight coefficient of each main controlling factor affecting the water damage in the layer is established, and the risk assessment model for the water risk in the study area is established (Formula 1).
  • the risk assessment model for the water risk in the study area is established (Formula 1).
  • VI is the risk index
  • W k is the influence weight of the main control factors
  • f k (x, y) is the single factor influence value function
  • (x, y) is the geographic coordinate
  • n is the number of the main control factors .
  • the frequency histogram statistical analysis is carried out on the water risk index of the separated layer.
  • the natural discontinuous classification method inside the GIS can be used to classify the statistical analysis results of the frequency histogram to form the risk assessment of the water damage of the roof of the stope.
  • the division map is divided into areas such as A, B, C, D... according to the risk of the outburst water bursting from small to large.

Abstract

L'invention concerne un procédé de prévision avancée d'inondation de couche de séparation de toit d'exploitation en étages secondaires reposant sur une intégration d'informations multisource, comprenant les étapes de base suivantes consistant à : déterminer un facteur de commande principale affectant l'inondation de couche de séparation de toit d'exploitation en étages secondaires; établir une carte spécifique à un sujet de chaque facteur de commande principale; évaluer chacun des facteurs de commande principale en utilisant un traitement de hiérarchie analytique (AHP), et calculer l'influence pondérée de chaque facteur sur l'inondation de couche de séparation de toit; normaliser la valeur pondérée de l'influence de chacun des facteurs, et effectuer une superposition complexe de la carte spécifique à un sujet normalisée de chaque facteur de commande principale au moyen d'une fonction de superposition complexe d'espace GIS, pour former une carte d'évaluation de risque de l'inondation de couche de séparation de toit d'exploitation en étages secondaires; analyser statistiquement l'indice de risque de l'inondation de couche de séparation de toit et déterminer un seuil de partitionnement pour former une carte de partitionnement d'évaluation de risque de l'inondation de couche de séparation de toit d'exploitation en étages secondaires. Le procédé peut faire intervenir une prévision avancée d'une inondation de couche de séparation d'exploitation en étages intermédiaires et faire appel à une mesure de prévision correspondante de degré de risque d'une inondation de couche de séparation de toit, ce qui permet d'éviter une inondation de couche de séparation de toit et de protéger une exploitation en étages secondaires sécurisée sur une face de travail.
PCT/CN2015/081601 2014-12-12 2015-06-17 Procédé de prévision avancée d'inondation de couche de séparation de toit d'exploitation en étages secondaires reposant sur une intégration d'informations multisource WO2016090883A1 (fr)

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CN201410764456.5A CN104408323A (zh) 2014-12-12 2014-12-12 一种基于多源信息融合的采场顶板离层水害超前预报方法
CN201410764456.5 2014-12-12

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WO2018214190A1 (fr) * 2017-06-19 2018-11-29 中国科学院南京地理与湖泊研究所 Système et procédé de surveillance stéréoscopique et de fouille de données concernant la prolifération de cyanobactéries lacustres toxiques
CN109740903A (zh) * 2018-12-26 2019-05-10 辽宁工程技术大学 基于ahp的复合动力灾害钻屑多参量危险性评价方法
CN109933954A (zh) * 2019-04-12 2019-06-25 宿州学院 一种残余离层的识别与灾害防治方法
CN111581834A (zh) * 2020-05-13 2020-08-25 中煤能源研究院有限责任公司 一种基于多源信息融合的煤层顶板溃水溃沙危险性评价方法
CN111695303A (zh) * 2020-06-17 2020-09-22 中煤能源研究院有限责任公司 一种煤层顶板砂岩含水层充水强度评价方法
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CN113360592A (zh) * 2021-06-29 2021-09-07 中煤能源研究院有限责任公司 基于微震监测的n00工法煤层顶板突水危险性预警方法
CN113565570A (zh) * 2021-08-31 2021-10-29 中煤科工集团重庆研究院有限公司 一种用于水害预警的指标设置方法
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