Study On The Monitoring And Decision Supporting Technology For Mine Water Accident

Coal is the most important energy resource in China.Mine water accident not only restrict coal industry development,but also has become one of the main factors of mine accidents.The dissertation systematically studies the monitoring and decision-making system for mine water accident by combining theoretic study, experimental research,equipment improvement and field practice based on the latest achievements in the related domains in the world.By analyzing the main reasons for water-inrush including aquifer water-bearing degree,floor broken depth,water-resisting layer thickness,original water inflow height,structure and underground water pressure,the dissertation proposes a four-zone model for the working face,which divides the floor stratum from coal layer to aquifer into destroyed zone caused by underground pressure,new damage zone,original damage zone and original water inflow fracture zone,based on the underground pressure theory,fracture mechanics theory and damage mechanics theory.According to the rock crack through connection model,the theoretic formula to calculate parameters in four-zone is deduced,and the criterion for deciding water-inrush from floor is presented.Field exploring research proves the existence of the four-zone and theoretical practicality of the model.The ANFIS predicting model for destroyed zone caused by underground is also built by the fuzzy adaptive neural network.A mine hydrologic information automatic monitoring system is studied and built for all mine coal area,and the under groundwater parameters can be surveyed with the system,the groundwater level and temperature in geological drill can be surveyed and preserved automatically by monitoring instrument,and the information can be transmitted by GSM to the monitoring center in the form of message. Three-layer network structure is adopted in mine well.M-Bus and RS485 Bus are applied respectively in the bottom layer and middle layer,and multiple network joints can use one common communication passageway channel,which fits the long distant and scattered surveying points,the monitor computer in the upper layer is a network joint,which serves as a network server.Customers can remotely inquire the system information and modify system configuration by browsing the web.Mine water effusion amount predication is analyzed and discussed through three kinds of time series predicting method including moving average,exponential smoothness and ARMA.The detecting technique of floor water-bearing characteristic is studied by combing the geophysical exploration theory and computer application theory.By improving the placement of equipment,data collection and data processing software, Three-dimensional high density resistivity technique is put forward,and the detecting of the water bearing degree of the working face floor before coal layer mining dynamic monitoring of floor breakage and floor water movement during coal layer mining are realized.The three-dimensional resistivity imaging of the working face is realized by slice-dicer software,which can show working face floor water-bearing characteristic with direct-vision method through level section and vertical section,the practicality and validity of this technique is exemplified.The GIS,multiple attribute decision-making theory and D-S evidence theory of the modern information fusion technology are employed to develop the water-inrush from floor predicting technique from "area"(all mine area) to "point"(working face), which provides two kinds of decision-making support for water-inrush from floor:(1) based on information fusion technology and GIS platform,the multiple resource information influencing water-inrush from floor,which includes aquifer water-bearing degree,water-resisting layer thickness,underground water pressure, structure and water-inrush point,is effectively fused,and the multiple resource information fusion model is built to predicate water-inrush from floor,which provides the technique of predicting water-inrush areas in all mine area;(2)Based on multiple attribute decision-making theory,with case statistics and expert analysis, the weights are govern to the factors which affect water-inrush from floor,the fusion rule is built for water-inrush probability ratio,and the new method of water-inrush probability ratio is put forward for water-inrush from floor,which provides a technique for decision-making water-inrush from floor with water-inrush probability ratio.The software for Predicting Water-inrush from Working Face Floor is developed according to aquifer water-bearing ratio,structure ratio,water-resisting layer thickness ratio,underground water pressure ratio and underground pressure ratio,the effectiveness of which is proved by application in Feicheng coal field. Based on the D-S evidence theory,the frame of discernment(?)={water-inrush, critical,no water-inrush,uncertain}={a,b,c,θ},and the model of E_i={E₁,E₂,E₃,E₄,E₅}={W,S,R,P,G} are built,where W,S,R,P,G are aquifer water-bearing ratio,structure ratio,water-resisting layer thickness ratio,underground water pressure ratio and underground pressure ratio respectively.Practical application of 9901 working face in Taoyang coal mine shows that the believing degree of water-inrush probability ratio and decision-making water-inrush from floor can be improved,and indeterminacy is reduced by several times of information fusion,and the validity and feasibility of two-step information fusion decision-making model,which is based on water-inrush probability ratio and D-S theory,is proved.In the conclusion,the main results and innovation of the research is summarized and some problems are put forward for further study.