矿井水害监控及决策支持技术研究
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摘要
煤炭是我国最重要的能源。煤矿水害不仅制约我国煤炭工业的发展,而且又是矿井灾害的主要因素之一。论文针对我国矿井水害防治研究中存在的技术难题,采用理论研究、实验研究、设备改造和现场实践相结合的方法,在充分了解国内外相关领域研究现状基础上,较为系统地对矿井水害监控及决策支持技术进行了研究。
论文首先从采场底板突水因素分析与理论建模研究着手,分析了采场底板含水层的富水性、开采煤层底板破坏深度、隔水层、原始导高、构造、水压等主要突水因素,以矿山压力控制理论、断裂力学理论和损伤力学理论为指导,提出了采场底板“四带”划分理论模型,即将工作面煤层到含水层之间的底板划分为矿山压力破坏带、新增损伤带、原始损伤带和原始导高带,根据岩石中裂隙相互贯通方式,推导出了计算各带参数的理论计算公式,给出了采场底板突水判别准则,并通过现场实测研究证明底板“四带”存在的客观性和该理论的实用性。同时运用模糊自适应神经网络理论,构建了底板破坏深度这一重要因素的ANFIS预测模型。
在矿井水文信息监测研究方面,论文以控制理论为指导,研究并建立了全矿井范围内的水文自动监测系统,实现了地下水参数的“面上”(全井田)动态监测。系统采用网络化结构,分为井下和地面两大部分。井上地面遥测系统能定时自动测量和存储地质钻孔水位、水温和矿井涌水量信息,并通过GSM公共无线通信网络的短信方式发送至监测中心;井下系统采用三层网络结构,底层网络和中间层网络均为总线网络,拓扑结构分别为M-Bus总线型、RS485总线型,特点是多个网络结点可共用一条通信信道,非常适合煤矿井下测点分布散而广的特点。上层网络为计算机网络,监测计算机作为网络结点,具有网络服务器功能,用户可通过网页浏览器远程查询系统信息、修改系统配置。采用移动平均、指数平滑、ARMA模型三种时间序列预测方法对矿井涌水量预测预报作了详细的分析与探讨。
在底板富水性探测技术研究方面,论文结合地球物理勘探理论和计算机应用技术,通过改造测线的布置方法、改进仪器设备、数据采集与处理软件,提出了三维高密度电法探测底板水技术,实现了对工作面采场底板富水性的“点上”(工作面)采前富水状态的探测,以及工作面开采过程中底板破坏和底板水运移状况的动态监测。以slicer-dicer为平台实现了采场底板三维电阻率成像,并可方便地实现水平及垂直切片,将工作面底板富水状态直观地表现出来,结合实例应用说明该技术的实用性和有效性。
在矿井底板突水预测预报及决策技术研究方面,论文应用现代信息融合技术中的GIS、多属性决策理及D-S证据理论,提出了一条从“面上”(全井田)到“点上”(工作面)的突水预测预报及决策技术途径,为底板突水决策及防治工作提供了两种有效的技术支持:(1)基于GIS平台,将影响底板突水的含水层富水性、隔水层厚度、水压、构造及突水点分布等多源地学信息进行有效的融合,构建了底板突水的多源地学信息复合模型,实现了全井田突水区域的划分及预测预测;(2)基于多属性决策理论,采用案例统计与专家分析相结合的方法,赋予影响底板突水各种因素的权重,建立突水概率指数法的融合规则,提出了突水概率指数法预测采场工作面底板突水的方法。以富水指数、构造指数、隔水层指数、水压指数、矿压指数等为主要影响因素,开发了“采场底板突水预测预报软件”,通过在肥城煤田的应用,证明了该软件的实用性;在获得底板突水概率指数的基础上,基于D-S证据理论,建立了由Θ={突水,临界,不突水,不确定}={a,b,c,θ}构成的识别框架,由E_i={E_1,E_2,E_3,E_4,E_5}={W,S,R,P,G}为证据体的突水融合决策模型(其中W为富水指数,S为构造指数,R为隔水层指数,P为水压指数,G为矿压指数)。经过陶阳煤矿9901工作面实例应用,采用多次信息融合,能够提高突水概率的可信度,降低不确定性,证明了基于突水概率指数法和D-S证据理论建立的工作面底板突水两级融合决策模型的有效性和可行性。
论文最后在总结主要成果与创新点的基础上,提出了有待进一步深入研究的问题。
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={E_1,E_2,E_3,E_4,E_5}={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.
论文首先从采场底板突水因素分析与理论建模研究着手,分析了采场底板含水层的富水性、开采煤层底板破坏深度、隔水层、原始导高、构造、水压等主要突水因素,以矿山压力控制理论、断裂力学理论和损伤力学理论为指导,提出了采场底板“四带”划分理论模型,即将工作面煤层到含水层之间的底板划分为矿山压力破坏带、新增损伤带、原始损伤带和原始导高带,根据岩石中裂隙相互贯通方式,推导出了计算各带参数的理论计算公式,给出了采场底板突水判别准则,并通过现场实测研究证明底板“四带”存在的客观性和该理论的实用性。同时运用模糊自适应神经网络理论,构建了底板破坏深度这一重要因素的ANFIS预测模型。
在矿井水文信息监测研究方面,论文以控制理论为指导,研究并建立了全矿井范围内的水文自动监测系统,实现了地下水参数的“面上”(全井田)动态监测。系统采用网络化结构,分为井下和地面两大部分。井上地面遥测系统能定时自动测量和存储地质钻孔水位、水温和矿井涌水量信息,并通过GSM公共无线通信网络的短信方式发送至监测中心;井下系统采用三层网络结构,底层网络和中间层网络均为总线网络,拓扑结构分别为M-Bus总线型、RS485总线型,特点是多个网络结点可共用一条通信信道,非常适合煤矿井下测点分布散而广的特点。上层网络为计算机网络,监测计算机作为网络结点,具有网络服务器功能,用户可通过网页浏览器远程查询系统信息、修改系统配置。采用移动平均、指数平滑、ARMA模型三种时间序列预测方法对矿井涌水量预测预报作了详细的分析与探讨。
在底板富水性探测技术研究方面,论文结合地球物理勘探理论和计算机应用技术,通过改造测线的布置方法、改进仪器设备、数据采集与处理软件,提出了三维高密度电法探测底板水技术,实现了对工作面采场底板富水性的“点上”(工作面)采前富水状态的探测,以及工作面开采过程中底板破坏和底板水运移状况的动态监测。以slicer-dicer为平台实现了采场底板三维电阻率成像,并可方便地实现水平及垂直切片,将工作面底板富水状态直观地表现出来,结合实例应用说明该技术的实用性和有效性。
在矿井底板突水预测预报及决策技术研究方面,论文应用现代信息融合技术中的GIS、多属性决策理及D-S证据理论,提出了一条从“面上”(全井田)到“点上”(工作面)的突水预测预报及决策技术途径,为底板突水决策及防治工作提供了两种有效的技术支持:(1)基于GIS平台,将影响底板突水的含水层富水性、隔水层厚度、水压、构造及突水点分布等多源地学信息进行有效的融合,构建了底板突水的多源地学信息复合模型,实现了全井田突水区域的划分及预测预测;(2)基于多属性决策理论,采用案例统计与专家分析相结合的方法,赋予影响底板突水各种因素的权重,建立突水概率指数法的融合规则,提出了突水概率指数法预测采场工作面底板突水的方法。以富水指数、构造指数、隔水层指数、水压指数、矿压指数等为主要影响因素,开发了“采场底板突水预测预报软件”,通过在肥城煤田的应用,证明了该软件的实用性;在获得底板突水概率指数的基础上,基于D-S证据理论,建立了由Θ={突水,临界,不突水,不确定}={a,b,c,θ}构成的识别框架,由E_i={E_1,E_2,E_3,E_4,E_5}={W,S,R,P,G}为证据体的突水融合决策模型(其中W为富水指数,S为构造指数,R为隔水层指数,P为水压指数,G为矿压指数)。经过陶阳煤矿9901工作面实例应用,采用多次信息融合,能够提高突水概率的可信度,降低不确定性,证明了基于突水概率指数法和D-S证据理论建立的工作面底板突水两级融合决策模型的有效性和可行性。
论文最后在总结主要成果与创新点的基础上,提出了有待进一步深入研究的问题。
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={E_1,E_2,E_3,E_4,E_5}={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.
引文
[1]徐锭明.中国的能源现状与能源政策.国家能源办副主任、国家发改委能源局局长徐锭明同志在A P E c可再生能源研讨会上的讲话,2004
[2]国家安全生产监督管理总局.http://media.chinasafety.gov.cn:8090/iSyStem/shigumain.jsp,2007.01
[3]中国统配煤矿总公司生产局.煤矿水害事故典型案例汇编[M].北京:煤炭科技情报研究所出版.1992
[4]山东煤管局生产处.山东煤矿防治水及物探“三下”采煤会议材料汇编[M].济南:山东省煤炭工业局出版.2000
[5]刘伟韬,宋传文,张国玉.底板突水的专家评分层次分析预测与评价[J].工程堪察,No.1,2002:22-25
[6]B.SHEN,O.STEPHANSSON.Numerical Analysis of Mixed Mode Ⅰ and Mode Ⅱ Fracture Propagation[J].Int.J.Rock Mech.Min.Sic.& Geomech.Abstr.Vol.30,No.7,1993:861-867
[7]JIEFAN HUANG;ZHONGYAN WANG;YONGHONG ZHAO.The Development of Rock Fracture Micro-fracturing to Main Fracture Formation[J].Int.J.Rock Mech.Min.Sic.& Geomech.Abstr.Vol.30,No.7,1993:925-928
[8]A.V.Dyskin,L.N.Germanovich.A model of fault propagation in rocks under compression[J].Rock Mechanics.Vol.54,No.5,1995:55-62
[9]CHUNLIN LI.Micromechanics modelling for stress-strain behaviour of brittle rocks[J].Int.J.for Numerical and Analytical Methods in Geomechanics.Vol.19,No 1,1995:331-334
[10]A.V.Dyskin,L.N.Germanovich,etc.Some experimental results on three-dimensional crack propagation[J].Mechanics of Jointed and Faulted Rock.Vol.54,No.5,1995:54-61
[11]M.CAI,H.HORH.A Constitutive Model and FEM Analysis of Jointed Rock Masses[J].Int.J.Rock Mech.Min.Sic.& Geomech.Abstr.Vol.30,No.4,1993:351-359
[12]Tom Clem,Leslie Smith.A hierarchical model for solute transport in fractured media[J].WATER RESESOURCES RESEARCH.Vol.33,No.4,1997:1763-1783
[13]Olivier Bour,Philippe Davy.Connectivity of random fault networks following a power law fault length distrbution[J].WATERR ESESOURCES RESEARCH.,Vol.33,No.7,1997:1567-1583
[14]Shemin Ge..A governing equation for fluid in rough fractures[J].WATER RESESOURCES RESEARCH,Vol.33,No.1,1997:53-61
[15]KAIHONG WEI,JEAN-CLAUDE DE BREMAECKER.Fracture under compression:the direction of initiation[J].International Journal of Fractuer,Vol.61,No.2,1993:267-294
[16]ALBERTO CARPINTERI.A catastrophe theory approach to fracture mechanics[J].Int.J.of Fracture,Vol.44,No.1,1990:57-69
[17]Yonghong Zhao.Crack Pattern Evolution and a Fractal Damage Constitutive Model for Rock[J].Int.J.Rock.Mech.Min.Sci,Vol.35,No.3,.1998:349-366
[18]Kulatilake,P.H,S.W.,Wang,S.,Stephansson,O.Effect of Finite Size Joints on the deformability of Joninted Reck in Three Dimensions[J].Int.J.Rock Mech Min.Sci.& Geomech.Abstr,Vol.30,No.5,1993:479-501
[19]Jing L.C-F Tsang.O Stephansson.THM Processes for Safety Analysis of Radioactive Water Repositories[J].International Journal of Rock Mechanics and Mining Science and Geomechanica,Vol.32,No.5,1995:24-35
[20]Mereno L.C-F Tsang.Flow Channeling in Strongly Heterogeneous Porous Media[J].Water Resour Res,Vol.30,No.5,1994:1421-1430
[21]Paul F.Hudak.Hugo A.Loaiciga,F.Andrew Schoolmaster.Application of Geographic Information System to Groundwater Monitoring Network Design[J].Water Resources Bulletin.Vol.29,No.3,1993:383-390
[22]Geir.J.et.al.Discrete Fracture Modeling of In-situ Hydrologic and Tracer Experiments[J].Proceeding International Conference on Fractured and Jointed Rock Masses.Lake Tahoe CA,Vol.1,No.1,1992:324-328
[23]Parieau W,G.Finite element analysis of water pressure and flow on shaft and tunnel stability[J].Transactiongs,Vol.298,No.2,1996:34-39
[24]Pariseau.W.G,Schmelter.S.C.Progress in wet mine measurements for stability[J].13~(th)Annual Workshop GMTC-Mine Systems Design and Ground Control,Vol.20,No.1,1995:21-28
[25]靳德武.我国煤层底板突水问题的研究现状及展望[J].煤炭科学技术.Vol.30,No.6,2002:1-4
[26]魏久传,李白英.承压水上采煤安全性评价[J].煤田地质与勘探,Vol.28,No.4,2000:57-59
[27]李白英.底板突水的“下三带”理论及其发展与应用[J].山东矿业学院学报,Vol.18,No.4,1999:11-18
[28]王作宇,刘鸿泉.承压水上采煤[M].北京:煤炭工业出版社,1993
[29]张金才,张玉卓,刘天泉.岩体渗流与底板突水[M].北京:地震出版社,1997
[30]钱鸣高,刘听成.矿山压力及其控制[M].北京:煤炭工业出版社,1984
[31]钱鸣高,缪协兴等.岩层控制的关键层理论[M].徐州:中国矿业大学出版社,2003
[32]许学汉,王杰.煤矿突水预报研究[M],北京:地质出版社,1991
[33]王成绪,邓中.煤层开采过程中底板突水的弹塑性有限元模拟及初步分析.北京大学学报,1990(6):711-719
[34]靳德武,董书宁,刘其声.带(水)压开采安全评价技术及其发展方向,2006年9月29日,中国煤矿安全技术网
[35]蒋金泉.采场围岩应力与运动[M].北京:煤炭工业出版社,1993
[36]黎良杰,钱鸣高,殷有泉.采场底板突水相似材料模拟研究[J].煤田地质与勘探,Vol.25,No.1.1997:33-36
[37]荆自刚.峰峰二矿开采活动与底板突水关系研究[J].煤炭学报.Vol.20,No.2,1984:22-25
[38]武强,周英杰,钟亚平等.煤层底板断层滞后型突水时效机理的力学试验研究[J].煤炭学报,Vol.28,No.6,2003:561-565
[39]孟苗苗,施龙青协庄井田东翼下组煤主要充水含水层水文地质特征及开采安全性评价[D].山东科技大学,2007
[40]Gao Yanfa.Shilongqing.Louhuajun.A theoretic study about the superior plane of water inrush from mining floor.Journal of geoscientific research in northeast Asia[C].1998.8:67-68
[41]靳德武.华北型煤田煤层底板突水预测信息分析理论、方法及应用[J].中国岩溶,Vol.22,No.1.2003:41-46
[42]汪明武.煤矿底板突水危险性投影寻踪综合评价模型[J].煤炭学报,Vol.27,No.5,2002:507-510
[43]王连国,宋扬.煤层底板突水的突变模型[J].工程地质学报,Vol.8,No.2,2000:160-163
[44]冯利军.基于Rough集理论的矿井突水规则获取[J].煤田地质与勘探,Vol.31,No.1,2003:38-40
[45]张文泉.矿井(底板)突水灾害的动态机理及综合判测和预报软件开发研究[D].山东科技大学,2004
[46]韩进,施龙青.矿井水害预测软件开发[J].辽宁工程技术大学,Vol.22,No.5,2003:589-591
[47]国家煤炭工业局.建筑物、水体、铁路及主要井巷煤柱留设与压煤开采规程[M].北京:煤炭工业出版社,2000:23-243
[48]徐芝纶.弹性力学[M].北京:高等教育出版社,1990
[49]朱维申,李述才,陈卫忠.节理岩体破坏机理和锚固效应及工程应用[M].北京:科学出版社.2002
[50]高庆.工程断裂力学[M].四川:重庆大学出版社,1986
[51]宋振骐.实用矿山压力控制[M].徐州:中国矿业大学出版社,1998
[52]Longqing Shi and R.N.Singh.Study of Mine Water Inrush from Floor Strata through Faults [J].Mine Water and the Environment.Vol.20,No.3,2001:140-147
[53]余天庆,钱济成.损伤理论及应用[M].北京:国防工业出版社,1993
[54]施龙青,宋振骐.肥城煤田深部开采突水评价[J].煤炭学报,Vol.25,No.3,2000:271-277
[55]施龙青,朱鲁,韩进等.矿山压力对底板破坏深度监测研究[J].煤田地质与勘探,Vol.32, No.6.2004:20-22
[56]施龙青,韩进,高延法.采场损伤底板破坏深度研究[J].煤炭学报,Vol.29,No.2,2004:1-4
[57]梁义维,熊诗波.基于神经网络和Dempster-Shafter信息融合的煤岩界面预测.煤炭学报,Vol.28 No.1,2003:86-90
[58]吴晓莉,林哲辉.Matlab辅助模糊系统设计[M].西安:西安电子科技大学出版社,2002.8
[59]侯文超.经济预测—理论、方法及应用[M].北京:商务印书馆,1993
[60]庞渭舟.煤矿水文地质学[M].北京:煤炭工业出版社,1980.1-23
[61]陈燎原,潘地林,张立祥.矿井主排水泵流量监测方法探讨.煤矿机械,No.12,2000:55-56
[62]西南交通大学水力教研室.水力学[M]北京:高等教育出版社,1986
[63]Lipnik,G.;Bostjan,K.;Matko,V.Computer based dynamic measurements of displacements on bridges.Sensor for Industry,2001,5-7.Proceedings of the First ISA/IEEE Conference,2001:142-144
[64]王常力,罗安分.分布式控制系统(DCS)设计与应用实例[M].北京:电子工业出版社,2004
[65]葛永明.M-BUS总线及其在热量计量中的应用[J].机电工程,Vol.20,No.6,2003:50-52
[66]Dongdong,Song;Zhenhui,Ren;Yanxia,Gu.Design and Implement of An Intelligent Coal Mine Monitoring System;Electronic Measurement and Instruments,2007.ICEMI'07.8th International Conference on,Aug.16 2007-July 18 2007:4-849-4-852
[67]Chandler,T.The technology development of automatic metering and monitoring systems.Power Engineering Conference,2005.IPEC 2005.The 7th International.Nov.29 2005-Dec.22005:1-147
[68]Dong-Jun Won;I1-Yop Chung;Joong-Moon Kim;Seung-I1 Moon;Jang-Cheol Seo;Jong-Woong Choe.Development of power quality monitoring system with central processing scheme,Power Engineering Society Summer Meeting,2002 IEEE,vol.2,25-25 July 2002:915-919
[69]周立功等.LPC900系列Flash单片机应用技术(上册)[M].北京:北京航空航天大学出版社,2004:77-80
[70]M.I.Aliyev,A.A.Khalilova,DH.Arasly,R.N.Rahimov,M.Tanoglu,L.Ozyuzer.Strain gauges of GaSb-FeGal 3 eutectic composites[J].Applied Physics A,Vol.15,No.79,2004:2075-2078
[71]Yanfeng,Wang;Jiwen,Huang;Fukunaga,Masaichi.Remote Embedded Power Measurement System Based On Global Network.Electronic Measurement and Instruments,2007.ICEMI '07.8th International Conference on,Aug.16 2007-July 18 2007:2-1-2-5
[72]李立伟.直流系统故障监测的理论及应用研究[D].大连理工大学,2006
[73]Roya Rahbari.A new inference method for multivariable fuzzy systems with application in industrial control[D].The University of British COLUMBIA,2001
[74]褚万泉.生产井动态及措旅实时监测技术理论及应用研究[D].西南石油大学,2006
[75]Dae-Young Lim;Young-Jae Ryoo.Development of remote monitoring system for coldstorage.Industrial Electronics Society,2004.IECON 2004.30th Annual Conference of IEEE,Vol 3,2-6 Nov.2004:2252-2254
[76]Wu,S.;Kotak,D.;Fleetwood,M.;Tomato,H.Distributed data acquisition and monitoring system for an integrated energy application.Systems,Man and Cybernetics.2005 IEEE International Conference on Vol.3,10-12 Oct.2005:2590-2594
[77]Moczar,G.;Csubak,T.;Varady,P.Distributed measurement system for heat metering and control Instrumentation and Measurement.IEEE Transactions on,Vol.51,Issue 4,Aug.2002:691-694
[78]张伟刚等.光纤光栅与电阻应变片应变测量的对比分析[J].传感技术学报,No.3,2001:200-205
[79]沙占友.集成化智能传感器原理与应用[M].北京:电子工业出版社,1994:1-4
[80]崔玉亮等.谐振式传感器理论及测试技术[M],北京:煤炭工业出版社,1996:18-21
[81]倪国强,李勇亮等.基于神经网络的数据融合技术的新进展[J],北京理工大学学报,Vol.23,Vo.4,2003:503-508
[82]Shuting,Wan;Peng,He.Rotor Winding Inter-Turn Short Circuit Fault Diaginosis System Based on Artificial Neural Network.Electronic Measurement and Instruments,2007.ICEMI '07.8th International Conference on Aug.,16,2007-July 18,2007:3-581-3-585
[83]Weimin Chen;Nan Xie;Xiaoyao Qian;Min Gan;Jun Wang.Search on the System for Dynamic Signal Collecting and Analyzing in the Vibration Field.Intelligent Control and Automation,2006.WCICA 2006.The Sixth World Congress on Volume 2,21-23 June 2006:5407-5410
[84]Moczar,G.;Csubak,T.;Varady,P.Distributed intelligent hierarchical system for heat metering and controlling.Instrumentation and Measurement Technology Conference,2001.IMTC 2001.Proceedings of the 18th IEEE,Vol.3,21-23 May 2001:2123-2128
[85]Nenov,N.;Rouzhekov,T.;Mihov,G.;Dimitrov,E.Strength sensor for dynamic wheel load measuring of railway carriages,Electronics Technology:Integrated Management of Electronic Materials Production,2003.26th International'Spring Seminar on,8-11 May 2003:260-265
[86]徐国祥.统计预测和决策[M].上海:上海财经大学出版社,1998
[87]汪荣鑫.随即过程[M].西安:西安交通大学出版社,1987
[88]项静怡,杜金观,史久恩.动态数据处理—时间序列分析[M].北京:高等教育出版社,1986
[89]韩路跃,杜行俭.基于Matlab的时间序列建模与预测[J].计算机仿真,Vol.22,No.4.2005:105-108
[90]A.G.D'yakonova,K.S.Ivanov,P.F.Astaf'ev,V.S.Vishnev and A.D.Konoplin.Geoelectric structure of the lithosphere of the Northern Urals.Izvestiya Physics of the Solid Earth,Vol.43,No.4,2007:278-283
[91]储绍良.矿井物探应用.北京:煤炭工业出版社,1996
[92]Yong-Hee Park,Seong-Jae Doh,and Seong-Taek Yun.Geoelectric resistivity sounding of riverside alluvial aquifer in an agricultural area at Buyeo,Geum River watershed,Korea:an application to groundwater contamination study.Environmental Geology,Vol.42,No.1,2006:60-68
[93]傅良魁.应用地球物理教程—电法,放射性,地热.北京:地质出版社,1991
[94]刘树才,岳建华,刘志新.煤矿水文物探技术与应用.中国矿业大学出版社,2005,10
[95]V.V.Spichak.Comparative analysis of hypotheses of the geoelectric structure of the Transcaucasian region from magnetotelluric data.Izvestiya Physics of the Solid Earth,Vol.42,No.1,2006:60-68
[96]毛先成.三维数字矿床与隐伏矿体立体定量预测研究[D].中南大学,2006
[97]S.N.Kulik and T.K.Burakhovich.Three-dimensional crustal geoelectfic model of the Ukrainian Shield.Izvestiya Physics of the Solid Earth,Vol.43,No.4,2007:284-289
[98]程朋根.地矿三维空间数据模型及相关算法研究[D].武汉大学,2005
[99]王香增,吴田忠,李俊海.盐岩蠕变三维数值模拟计算方法及应用.石油钻采工艺,Vol.26 No.6.2004:21-23
[100]M.I.Shimelevich and E.A.Obornev.Neural network inversion of data in classes of parametrized geoelectric sections.Izvestiya Physics of the Solid Earth,Vol.43,No.3,2007:211-216
[101]刘文伟.湖南境内高速公路滑坡的动力学过程与监测预报研究[D].中南大学,2006
[102]赵媛媛,周果宏,高殿帅,罗述谦.徐群渊.基于3D Slicer的成年大鼠侧脑室外侧壁脑室下区全部细胞核的三维重建[J].中国牛物医学工程学报,Vol.23,No.6,2004:589-592
[103]高蕾娜,何建英.医学断层图像三维重构的研究及应用.机械与电子,No.3,2005:77-79
[104]Gyulai A.Parameter-sensitivity of underground geoelectric measurements.Geophysical Transactions,Vol.35,No.3,1990:512-517
[105]Dobroka M,Gyulai A,Csokas J et al.Joint inversion of seismic and geoelectric data record in an underground coal mine.Geophys,Vol.39,1991:39:643-665
[106]李宗田.储层三维电阻率反演成像技术及其在剩余油探测中的应用[D].中国地质大学.2005,5
[107]P.N.Aleksandrov.Solution of forward 2-D geoelectric problems using integrodifferential equations.Izvestiya Physics of the Solid Earth,Vol.42,No.1,2006:60-68
[108]Jie Zhang,Randall L.Mackie,and Theodore R.Madden.3-D resistivity forward modeling and inversion using conjugate gradients.GEOPHYSICS,Vol.60,No.5,SEPTEMBER -OCTOBER,1995:1313-1325
[109]尹忠彦,邢凯.GIS水文地质信息系统开发与应用.矿山测量,No.2,2002:11-12
[110]王希良,郑世书,孙亚军等.GIS支持下的煤矿底板突水预报研究.工程勘察,Vol.10,No.2,2001:69-71
[111]武强,钱增江等.基于GIS的矿井水文地质信息系统开发与应用[J].煤炭科学技术,Vol.29,No.11,2001:30-33
[112]武强,徐建芳,董东林等.基于GIS的地质灾害和水资源研究理论与方法[M].北京:地质出版社,2000
[113]Songxin Shi;Xiuzi Ye;Zhaoxia Dong;Huamin Zhou.Research on the Integration of GIS-Based Digital Valley System.Computer and Computational Sciences,2006.IMSCCS 06.First International Muiti-Symposiums on Vol.1,20-24 June 2006:452-457
[114]F.Yu,Z.Chenghu.Research of the 4th generation GIS software.Journal of Image and Graphics,No.6,2001:817-822
[115]Haeock Choi;Kwangsoo Kim;Jonghun Lee.Design and implementation of open GIS component software.Geoscience and Remote Sensing Symposium,2000.Proceedings.IGARSS 2000.IEEE 2000 International,Vol.5,24-28 July 2000:2105-2107
[116]邬伦等.地理信息系统教程[M].北京:北京大学出版社,1994
[117]Wei Hui;Xu Qing-xin.A knowledge-based creation of mathematical programming for GIS problem solving.Geoscience and Remote Sensing Symposium,2005.IGARSS'05.Proceedings.2005 IEEE International,Vol.2,No.4,25-29 July 2005:936-939
[118]Rumish,B.;Ingram,C.;White,R.;Joseph,D.Using GIS to aid in the search for underwater wrecks.Underwater Technology,2000.UT 00.Proceedings of the 2000 International Symposium on 23-26 May 2000:33-36
[119]Wang Juanle;Wu Kuan.Integrated GIS solution to mining subsidence assistant decision in mining area.Geoscience and Remote Sensing Symposium,2004.IGARSS'04.Proceedings.2004 IEEE International,Vol.5,2004:2868-2871
[120]Chisalita,I.;Shahmehri,N.An in-vehicle approach for improving traffic safety through GIS utilization,Systems,Man and Cybernetics,2002 IEEE International Conference on.Vol.7,No.6,2002:6-9
[121]徐斌恩,毛善君,刘桥喜.数字煤矿多部门地学信息共享的关键技术.煤炭科学技术,Vol.32,No.6,2004:46-48
[122]李观义.基于3S的防洪决策方法研究[D].河海大学,2007
[123]张飞涟,张涛.基于GIS的图形叠置法在城镇市政设施投资项目环境影响后评价中的应用.城市勘探,No.1,2007:28-31
[124]崔宝侠.基于GIS的水环境评价决策支持系统研究[D].东北大学,2005
[125]张海荣,周荣福,郭达志,杜培军.基于GIS复合分析的煤矿顶板水害预测研究.中国矿业业大学学报.Vol.34,No.1,2005:112-116
[126]齐清文,裴新富.多源信息的集成与融合及其在遥感制图中的优化利用.地理科学进展,Vol.20,No.1,2001:36-43
[127]曹广真.多源遥感数据融合方法与应用研究[D].复旦大学,2006
[128]施龙青,韩进.用突水概率指数法预测底板突水.中国矿业大学学报,Vol.28,No.5,1999:442-444
[129]岳超源.决策理论与方法[M].北京:科学出版社,2003
[130]宋光兴.多属性决策理论、方法及其在矿业中的应用研究[D].昆明理工大学,2001
[131]马骞.电网调度决策支持系统的研究[D].华北电力大学,2005
[132]陈颖,倪建军,徐立中.基于D-S证据理论的多属性多人决策方法及其应用.工矿自动化,No.5.2005:16-18
[133]李福林.莱州湾东岸滨海平原海水入侵的动态监测与数值模拟研究[D].中国海洋大学,2005
[134]洪振杰.群体和多目标决策的理论、方法及大气传播研究[D].上海大学,2005
[135]Pan J,Teklu Y,Rahman S,De Castro A.An interval based MADM approach to the dentification of candidate alternatives in strategic resource planning.IEEE Transactions on Power Systems,15(4),2000:1441-1446
[136]韩进,朱鲁,程久龙,煤矿水害预测软件开发,辽宁工程技术大学学报,Vol.22,No.5,2003:589-591
[137]韩进.利用VB开发煤层底板突水预测应用软件,焦作工学院学报,Vol.19,No.2,2000:106-108
[138]Murai,T.,Sato.Association Rules from a Point of View of Modal Logic and Rough Sets.Proc.4th AFSS,2000:427-432
[139]Murai,T.,Nakata,M.,Sato.A Note on Conditional Logic and Association Rules.T.Terano et al.(eds.),New Frontiers in Artificial Intelligence,LNAI.Vol.2253,Springer,2001:390-394
[140]Murai,T.,Nakata,M.,Sato.Association Rules as Relative Modal Sentences Based on Conditional Probability.Communications of Institute of Information and Computing Machinery,Vol.5,No.2,2002:73-76
[141]施龙青,韩进.底板突水机理及预测预报[M].中国矿业大学出版社,2004.6
[142]Longqing Shi and R.N.Singh.Study of Mine Water Inrush from Floor Strata through Faults,Mine Water and the Environment.20(3) 2001:140-147
[143]康耀红.数据融合理论与应用[M].西安:西安电子科技大学出社,1997
[144]刘同明,夏祖勋,解洪成.数据融合技术及应用[M].北京:国防工业出版社,1998
[145]魏守智,金宁德.分布式客观证据融合模型及其应用.天津大学学报,Vol.39 Suppl.2006:102-107
[146]Sugie,Y.,Kobayashi,T.M.edia-integrated Biometric Person Recognition Based on the Dempster-Shafer Theory.ICPR 02,Vol.4,2002:40381-40384
[147]刘晓明,赵明华,王昌衡.基于专家系统和证据理论的路面破损原因评价方法研究.公路交通科技,Vol.22,No.7,2005.7:41-44
[148]韩立岩,周芳.基于D-S证据理论的知识融合及其应用.北京航空航天大学学报,Vol.32,No1,2006:65-68.
[149]孙锐,孙上媛,葛云峰.基于D-S证据理论的基本概率赋值的获取.现代机械,No.4,2006:22-23.
[150]何兵,郝爱民,赵沁平.一种基于不确定信息的决策方法.计算机学报,Vol.27,No.2.2004:281-285
[151]王永成,王宏飞,杨成梧.目标属性信息相关时融合识别的实现方法.兵工学报,Vol.26,No.3,2005:338-342
[152]吴蔚,张海波,王道席.基于多证据融合模型的洪水预测研究.水力发电,Vol.31,No.12.2005:22-24
[153]Lijia Xu,Yangzhou Chen,Pingyuan Cui.Improvement of D-S Evidential Theory in Multisensor Data Fusion System.Proceedings of the 5~(th) World Congress on Intelligent Control and Automation,June 15-19,Hangzhou,P.R.China,2004:3124-3128
[154]陈良洲.信息融合中的随机集理论及其在目标识别中的应用研究[D].上海交通大学,2006.7
[155]李宏坤.基于信息融合技术船舶柴油机故障诊断方法的研究与应用[D].大连理工大学,2003
[156]朱春龙.城市水环境系统控制决策支持技术研究[D].河海大学,2005
[157]田景文.地下油藏的仿真与预测[D].哈尔滨工程大学,2001
[158]龚本刚.基于证据理论的不完全信息对属性决策方法研究[D].中国科学技术大学,2007
[159]王健.大坝安全监控集成智能专家系统关键技术研究[D].河海大学,2002
[160]何金灿.信息融合技术在矿井通风系统安全评价中的应用研究[D].河海大学,2005
[161]李小春.多源遥感影像融合技术及应用研究[D].解放军信息工程大学,2005
[162]Xuanzi Hu,Cunxi Xie.Security Operation Center Design Based on D-S Evidence Theory.Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation,Luoyang,China.June 25-28,2006:2302-2306
[163]Jia Yuqin,Wanf Peixia,Li yue.Study of Manufacturing System based on Neural Network Multi-sensor Data Fusion and Its Application.International Conference on Robotics,Intelligent Systems and Signal Processing Changsha,China-October,2003:1022-1026
[164]Wei XU,Yong QIN and Houuan HUANG.A New Method of Railway Passenger Flow Forcasting Based on Spatio-Temporal Data Ming.2004 IEEE Intelligent Transportation Systems Conference Washington,D,C,USA,October 3-6,2004:402-405
[165]Hua Liu and Donald E.Brown.A New Point Process Transition Density Model for Space-Time Event Prediction.IEEE TRANSACTIONS ON SYSTEMS,MAN,AND CYBERNETICS-PARTC:APPLICATIONS AND REVIEWS,Vol.34,NO.3,AUGUST 2004:310-324
[166]Sam Y.Sung,Zhao Li,Chew L.Tan,and Peter A.Ng.Forecasting Association Rules Using Existing Data Sets.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,Vol.15,No.6,NOVEMBER/DECEMBER 2003:1448-1459
[167]林志贵.基于证据理论的信息融合研究及其在水质监测中的应用[D].河海大学,2005
[168]王永成,王宏飞,杨成梧.目标属性信息相关时融合识别的实现方法.兵工学报,Vol.26,No.3.2005:338-342
[2]国家安全生产监督管理总局.http://media.chinasafety.gov.cn:8090/iSyStem/shigumain.jsp,2007.01
[3]中国统配煤矿总公司生产局.煤矿水害事故典型案例汇编[M].北京:煤炭科技情报研究所出版.1992
[4]山东煤管局生产处.山东煤矿防治水及物探“三下”采煤会议材料汇编[M].济南:山东省煤炭工业局出版.2000
[5]刘伟韬,宋传文,张国玉.底板突水的专家评分层次分析预测与评价[J].工程堪察,No.1,2002:22-25
[6]B.SHEN,O.STEPHANSSON.Numerical Analysis of Mixed Mode Ⅰ and Mode Ⅱ Fracture Propagation[J].Int.J.Rock Mech.Min.Sic.& Geomech.Abstr.Vol.30,No.7,1993:861-867
[7]JIEFAN HUANG;ZHONGYAN WANG;YONGHONG ZHAO.The Development of Rock Fracture Micro-fracturing to Main Fracture Formation[J].Int.J.Rock Mech.Min.Sic.& Geomech.Abstr.Vol.30,No.7,1993:925-928
[8]A.V.Dyskin,L.N.Germanovich.A model of fault propagation in rocks under compression[J].Rock Mechanics.Vol.54,No.5,1995:55-62
[9]CHUNLIN LI.Micromechanics modelling for stress-strain behaviour of brittle rocks[J].Int.J.for Numerical and Analytical Methods in Geomechanics.Vol.19,No 1,1995:331-334
[10]A.V.Dyskin,L.N.Germanovich,etc.Some experimental results on three-dimensional crack propagation[J].Mechanics of Jointed and Faulted Rock.Vol.54,No.5,1995:54-61
[11]M.CAI,H.HORH.A Constitutive Model and FEM Analysis of Jointed Rock Masses[J].Int.J.Rock Mech.Min.Sic.& Geomech.Abstr.Vol.30,No.4,1993:351-359
[12]Tom Clem,Leslie Smith.A hierarchical model for solute transport in fractured media[J].WATER RESESOURCES RESEARCH.Vol.33,No.4,1997:1763-1783
[13]Olivier Bour,Philippe Davy.Connectivity of random fault networks following a power law fault length distrbution[J].WATERR ESESOURCES RESEARCH.,Vol.33,No.7,1997:1567-1583
[14]Shemin Ge..A governing equation for fluid in rough fractures[J].WATER RESESOURCES RESEARCH,Vol.33,No.1,1997:53-61
[15]KAIHONG WEI,JEAN-CLAUDE DE BREMAECKER.Fracture under compression:the direction of initiation[J].International Journal of Fractuer,Vol.61,No.2,1993:267-294
[16]ALBERTO CARPINTERI.A catastrophe theory approach to fracture mechanics[J].Int.J.of Fracture,Vol.44,No.1,1990:57-69
[17]Yonghong Zhao.Crack Pattern Evolution and a Fractal Damage Constitutive Model for Rock[J].Int.J.Rock.Mech.Min.Sci,Vol.35,No.3,.1998:349-366
[18]Kulatilake,P.H,S.W.,Wang,S.,Stephansson,O.Effect of Finite Size Joints on the deformability of Joninted Reck in Three Dimensions[J].Int.J.Rock Mech Min.Sci.& Geomech.Abstr,Vol.30,No.5,1993:479-501
[19]Jing L.C-F Tsang.O Stephansson.THM Processes for Safety Analysis of Radioactive Water Repositories[J].International Journal of Rock Mechanics and Mining Science and Geomechanica,Vol.32,No.5,1995:24-35
[20]Mereno L.C-F Tsang.Flow Channeling in Strongly Heterogeneous Porous Media[J].Water Resour Res,Vol.30,No.5,1994:1421-1430
[21]Paul F.Hudak.Hugo A.Loaiciga,F.Andrew Schoolmaster.Application of Geographic Information System to Groundwater Monitoring Network Design[J].Water Resources Bulletin.Vol.29,No.3,1993:383-390
[22]Geir.J.et.al.Discrete Fracture Modeling of In-situ Hydrologic and Tracer Experiments[J].Proceeding International Conference on Fractured and Jointed Rock Masses.Lake Tahoe CA,Vol.1,No.1,1992:324-328
[23]Parieau W,G.Finite element analysis of water pressure and flow on shaft and tunnel stability[J].Transactiongs,Vol.298,No.2,1996:34-39
[24]Pariseau.W.G,Schmelter.S.C.Progress in wet mine measurements for stability[J].13~(th)Annual Workshop GMTC-Mine Systems Design and Ground Control,Vol.20,No.1,1995:21-28
[25]靳德武.我国煤层底板突水问题的研究现状及展望[J].煤炭科学技术.Vol.30,No.6,2002:1-4
[26]魏久传,李白英.承压水上采煤安全性评价[J].煤田地质与勘探,Vol.28,No.4,2000:57-59
[27]李白英.底板突水的“下三带”理论及其发展与应用[J].山东矿业学院学报,Vol.18,No.4,1999:11-18
[28]王作宇,刘鸿泉.承压水上采煤[M].北京:煤炭工业出版社,1993
[29]张金才,张玉卓,刘天泉.岩体渗流与底板突水[M].北京:地震出版社,1997
[30]钱鸣高,刘听成.矿山压力及其控制[M].北京:煤炭工业出版社,1984
[31]钱鸣高,缪协兴等.岩层控制的关键层理论[M].徐州:中国矿业大学出版社,2003
[32]许学汉,王杰.煤矿突水预报研究[M],北京:地质出版社,1991
[33]王成绪,邓中.煤层开采过程中底板突水的弹塑性有限元模拟及初步分析.北京大学学报,1990(6):711-719
[34]靳德武,董书宁,刘其声.带(水)压开采安全评价技术及其发展方向,2006年9月29日,中国煤矿安全技术网
[35]蒋金泉.采场围岩应力与运动[M].北京:煤炭工业出版社,1993
[36]黎良杰,钱鸣高,殷有泉.采场底板突水相似材料模拟研究[J].煤田地质与勘探,Vol.25,No.1.1997:33-36
[37]荆自刚.峰峰二矿开采活动与底板突水关系研究[J].煤炭学报.Vol.20,No.2,1984:22-25
[38]武强,周英杰,钟亚平等.煤层底板断层滞后型突水时效机理的力学试验研究[J].煤炭学报,Vol.28,No.6,2003:561-565
[39]孟苗苗,施龙青协庄井田东翼下组煤主要充水含水层水文地质特征及开采安全性评价[D].山东科技大学,2007
[40]Gao Yanfa.Shilongqing.Louhuajun.A theoretic study about the superior plane of water inrush from mining floor.Journal of geoscientific research in northeast Asia[C].1998.8:67-68
[41]靳德武.华北型煤田煤层底板突水预测信息分析理论、方法及应用[J].中国岩溶,Vol.22,No.1.2003:41-46
[42]汪明武.煤矿底板突水危险性投影寻踪综合评价模型[J].煤炭学报,Vol.27,No.5,2002:507-510
[43]王连国,宋扬.煤层底板突水的突变模型[J].工程地质学报,Vol.8,No.2,2000:160-163
[44]冯利军.基于Rough集理论的矿井突水规则获取[J].煤田地质与勘探,Vol.31,No.1,2003:38-40
[45]张文泉.矿井(底板)突水灾害的动态机理及综合判测和预报软件开发研究[D].山东科技大学,2004
[46]韩进,施龙青.矿井水害预测软件开发[J].辽宁工程技术大学,Vol.22,No.5,2003:589-591
[47]国家煤炭工业局.建筑物、水体、铁路及主要井巷煤柱留设与压煤开采规程[M].北京:煤炭工业出版社,2000:23-243
[48]徐芝纶.弹性力学[M].北京:高等教育出版社,1990
[49]朱维申,李述才,陈卫忠.节理岩体破坏机理和锚固效应及工程应用[M].北京:科学出版社.2002
[50]高庆.工程断裂力学[M].四川:重庆大学出版社,1986
[51]宋振骐.实用矿山压力控制[M].徐州:中国矿业大学出版社,1998
[52]Longqing Shi and R.N.Singh.Study of Mine Water Inrush from Floor Strata through Faults [J].Mine Water and the Environment.Vol.20,No.3,2001:140-147
[53]余天庆,钱济成.损伤理论及应用[M].北京:国防工业出版社,1993
[54]施龙青,宋振骐.肥城煤田深部开采突水评价[J].煤炭学报,Vol.25,No.3,2000:271-277
[55]施龙青,朱鲁,韩进等.矿山压力对底板破坏深度监测研究[J].煤田地质与勘探,Vol.32, No.6.2004:20-22
[56]施龙青,韩进,高延法.采场损伤底板破坏深度研究[J].煤炭学报,Vol.29,No.2,2004:1-4
[57]梁义维,熊诗波.基于神经网络和Dempster-Shafter信息融合的煤岩界面预测.煤炭学报,Vol.28 No.1,2003:86-90
[58]吴晓莉,林哲辉.Matlab辅助模糊系统设计[M].西安:西安电子科技大学出版社,2002.8
[59]侯文超.经济预测—理论、方法及应用[M].北京:商务印书馆,1993
[60]庞渭舟.煤矿水文地质学[M].北京:煤炭工业出版社,1980.1-23
[61]陈燎原,潘地林,张立祥.矿井主排水泵流量监测方法探讨.煤矿机械,No.12,2000:55-56
[62]西南交通大学水力教研室.水力学[M]北京:高等教育出版社,1986
[63]Lipnik,G.;Bostjan,K.;Matko,V.Computer based dynamic measurements of displacements on bridges.Sensor for Industry,2001,5-7.Proceedings of the First ISA/IEEE Conference,2001:142-144
[64]王常力,罗安分.分布式控制系统(DCS)设计与应用实例[M].北京:电子工业出版社,2004
[65]葛永明.M-BUS总线及其在热量计量中的应用[J].机电工程,Vol.20,No.6,2003:50-52
[66]Dongdong,Song;Zhenhui,Ren;Yanxia,Gu.Design and Implement of An Intelligent Coal Mine Monitoring System;Electronic Measurement and Instruments,2007.ICEMI'07.8th International Conference on,Aug.16 2007-July 18 2007:4-849-4-852
[67]Chandler,T.The technology development of automatic metering and monitoring systems.Power Engineering Conference,2005.IPEC 2005.The 7th International.Nov.29 2005-Dec.22005:1-147
[68]Dong-Jun Won;I1-Yop Chung;Joong-Moon Kim;Seung-I1 Moon;Jang-Cheol Seo;Jong-Woong Choe.Development of power quality monitoring system with central processing scheme,Power Engineering Society Summer Meeting,2002 IEEE,vol.2,25-25 July 2002:915-919
[69]周立功等.LPC900系列Flash单片机应用技术(上册)[M].北京:北京航空航天大学出版社,2004:77-80
[70]M.I.Aliyev,A.A.Khalilova,DH.Arasly,R.N.Rahimov,M.Tanoglu,L.Ozyuzer.Strain gauges of GaSb-FeGal 3 eutectic composites[J].Applied Physics A,Vol.15,No.79,2004:2075-2078
[71]Yanfeng,Wang;Jiwen,Huang;Fukunaga,Masaichi.Remote Embedded Power Measurement System Based On Global Network.Electronic Measurement and Instruments,2007.ICEMI '07.8th International Conference on,Aug.16 2007-July 18 2007:2-1-2-5
[72]李立伟.直流系统故障监测的理论及应用研究[D].大连理工大学,2006
[73]Roya Rahbari.A new inference method for multivariable fuzzy systems with application in industrial control[D].The University of British COLUMBIA,2001
[74]褚万泉.生产井动态及措旅实时监测技术理论及应用研究[D].西南石油大学,2006
[75]Dae-Young Lim;Young-Jae Ryoo.Development of remote monitoring system for coldstorage.Industrial Electronics Society,2004.IECON 2004.30th Annual Conference of IEEE,Vol 3,2-6 Nov.2004:2252-2254
[76]Wu,S.;Kotak,D.;Fleetwood,M.;Tomato,H.Distributed data acquisition and monitoring system for an integrated energy application.Systems,Man and Cybernetics.2005 IEEE International Conference on Vol.3,10-12 Oct.2005:2590-2594
[77]Moczar,G.;Csubak,T.;Varady,P.Distributed measurement system for heat metering and control Instrumentation and Measurement.IEEE Transactions on,Vol.51,Issue 4,Aug.2002:691-694
[78]张伟刚等.光纤光栅与电阻应变片应变测量的对比分析[J].传感技术学报,No.3,2001:200-205
[79]沙占友.集成化智能传感器原理与应用[M].北京:电子工业出版社,1994:1-4
[80]崔玉亮等.谐振式传感器理论及测试技术[M],北京:煤炭工业出版社,1996:18-21
[81]倪国强,李勇亮等.基于神经网络的数据融合技术的新进展[J],北京理工大学学报,Vol.23,Vo.4,2003:503-508
[82]Shuting,Wan;Peng,He.Rotor Winding Inter-Turn Short Circuit Fault Diaginosis System Based on Artificial Neural Network.Electronic Measurement and Instruments,2007.ICEMI '07.8th International Conference on Aug.,16,2007-July 18,2007:3-581-3-585
[83]Weimin Chen;Nan Xie;Xiaoyao Qian;Min Gan;Jun Wang.Search on the System for Dynamic Signal Collecting and Analyzing in the Vibration Field.Intelligent Control and Automation,2006.WCICA 2006.The Sixth World Congress on Volume 2,21-23 June 2006:5407-5410
[84]Moczar,G.;Csubak,T.;Varady,P.Distributed intelligent hierarchical system for heat metering and controlling.Instrumentation and Measurement Technology Conference,2001.IMTC 2001.Proceedings of the 18th IEEE,Vol.3,21-23 May 2001:2123-2128
[85]Nenov,N.;Rouzhekov,T.;Mihov,G.;Dimitrov,E.Strength sensor for dynamic wheel load measuring of railway carriages,Electronics Technology:Integrated Management of Electronic Materials Production,2003.26th International'Spring Seminar on,8-11 May 2003:260-265
[86]徐国祥.统计预测和决策[M].上海:上海财经大学出版社,1998
[87]汪荣鑫.随即过程[M].西安:西安交通大学出版社,1987
[88]项静怡,杜金观,史久恩.动态数据处理—时间序列分析[M].北京:高等教育出版社,1986
[89]韩路跃,杜行俭.基于Matlab的时间序列建模与预测[J].计算机仿真,Vol.22,No.4.2005:105-108
[90]A.G.D'yakonova,K.S.Ivanov,P.F.Astaf'ev,V.S.Vishnev and A.D.Konoplin.Geoelectric structure of the lithosphere of the Northern Urals.Izvestiya Physics of the Solid Earth,Vol.43,No.4,2007:278-283
[91]储绍良.矿井物探应用.北京:煤炭工业出版社,1996
[92]Yong-Hee Park,Seong-Jae Doh,and Seong-Taek Yun.Geoelectric resistivity sounding of riverside alluvial aquifer in an agricultural area at Buyeo,Geum River watershed,Korea:an application to groundwater contamination study.Environmental Geology,Vol.42,No.1,2006:60-68
[93]傅良魁.应用地球物理教程—电法,放射性,地热.北京:地质出版社,1991
[94]刘树才,岳建华,刘志新.煤矿水文物探技术与应用.中国矿业大学出版社,2005,10
[95]V.V.Spichak.Comparative analysis of hypotheses of the geoelectric structure of the Transcaucasian region from magnetotelluric data.Izvestiya Physics of the Solid Earth,Vol.42,No.1,2006:60-68
[96]毛先成.三维数字矿床与隐伏矿体立体定量预测研究[D].中南大学,2006
[97]S.N.Kulik and T.K.Burakhovich.Three-dimensional crustal geoelectfic model of the Ukrainian Shield.Izvestiya Physics of the Solid Earth,Vol.43,No.4,2007:284-289
[98]程朋根.地矿三维空间数据模型及相关算法研究[D].武汉大学,2005
[99]王香增,吴田忠,李俊海.盐岩蠕变三维数值模拟计算方法及应用.石油钻采工艺,Vol.26 No.6.2004:21-23
[100]M.I.Shimelevich and E.A.Obornev.Neural network inversion of data in classes of parametrized geoelectric sections.Izvestiya Physics of the Solid Earth,Vol.43,No.3,2007:211-216
[101]刘文伟.湖南境内高速公路滑坡的动力学过程与监测预报研究[D].中南大学,2006
[102]赵媛媛,周果宏,高殿帅,罗述谦.徐群渊.基于3D Slicer的成年大鼠侧脑室外侧壁脑室下区全部细胞核的三维重建[J].中国牛物医学工程学报,Vol.23,No.6,2004:589-592
[103]高蕾娜,何建英.医学断层图像三维重构的研究及应用.机械与电子,No.3,2005:77-79
[104]Gyulai A.Parameter-sensitivity of underground geoelectric measurements.Geophysical Transactions,Vol.35,No.3,1990:512-517
[105]Dobroka M,Gyulai A,Csokas J et al.Joint inversion of seismic and geoelectric data record in an underground coal mine.Geophys,Vol.39,1991:39:643-665
[106]李宗田.储层三维电阻率反演成像技术及其在剩余油探测中的应用[D].中国地质大学.2005,5
[107]P.N.Aleksandrov.Solution of forward 2-D geoelectric problems using integrodifferential equations.Izvestiya Physics of the Solid Earth,Vol.42,No.1,2006:60-68
[108]Jie Zhang,Randall L.Mackie,and Theodore R.Madden.3-D resistivity forward modeling and inversion using conjugate gradients.GEOPHYSICS,Vol.60,No.5,SEPTEMBER -OCTOBER,1995:1313-1325
[109]尹忠彦,邢凯.GIS水文地质信息系统开发与应用.矿山测量,No.2,2002:11-12
[110]王希良,郑世书,孙亚军等.GIS支持下的煤矿底板突水预报研究.工程勘察,Vol.10,No.2,2001:69-71
[111]武强,钱增江等.基于GIS的矿井水文地质信息系统开发与应用[J].煤炭科学技术,Vol.29,No.11,2001:30-33
[112]武强,徐建芳,董东林等.基于GIS的地质灾害和水资源研究理论与方法[M].北京:地质出版社,2000
[113]Songxin Shi;Xiuzi Ye;Zhaoxia Dong;Huamin Zhou.Research on the Integration of GIS-Based Digital Valley System.Computer and Computational Sciences,2006.IMSCCS 06.First International Muiti-Symposiums on Vol.1,20-24 June 2006:452-457
[114]F.Yu,Z.Chenghu.Research of the 4th generation GIS software.Journal of Image and Graphics,No.6,2001:817-822
[115]Haeock Choi;Kwangsoo Kim;Jonghun Lee.Design and implementation of open GIS component software.Geoscience and Remote Sensing Symposium,2000.Proceedings.IGARSS 2000.IEEE 2000 International,Vol.5,24-28 July 2000:2105-2107
[116]邬伦等.地理信息系统教程[M].北京:北京大学出版社,1994
[117]Wei Hui;Xu Qing-xin.A knowledge-based creation of mathematical programming for GIS problem solving.Geoscience and Remote Sensing Symposium,2005.IGARSS'05.Proceedings.2005 IEEE International,Vol.2,No.4,25-29 July 2005:936-939
[118]Rumish,B.;Ingram,C.;White,R.;Joseph,D.Using GIS to aid in the search for underwater wrecks.Underwater Technology,2000.UT 00.Proceedings of the 2000 International Symposium on 23-26 May 2000:33-36
[119]Wang Juanle;Wu Kuan.Integrated GIS solution to mining subsidence assistant decision in mining area.Geoscience and Remote Sensing Symposium,2004.IGARSS'04.Proceedings.2004 IEEE International,Vol.5,2004:2868-2871
[120]Chisalita,I.;Shahmehri,N.An in-vehicle approach for improving traffic safety through GIS utilization,Systems,Man and Cybernetics,2002 IEEE International Conference on.Vol.7,No.6,2002:6-9
[121]徐斌恩,毛善君,刘桥喜.数字煤矿多部门地学信息共享的关键技术.煤炭科学技术,Vol.32,No.6,2004:46-48
[122]李观义.基于3S的防洪决策方法研究[D].河海大学,2007
[123]张飞涟,张涛.基于GIS的图形叠置法在城镇市政设施投资项目环境影响后评价中的应用.城市勘探,No.1,2007:28-31
[124]崔宝侠.基于GIS的水环境评价决策支持系统研究[D].东北大学,2005
[125]张海荣,周荣福,郭达志,杜培军.基于GIS复合分析的煤矿顶板水害预测研究.中国矿业业大学学报.Vol.34,No.1,2005:112-116
[126]齐清文,裴新富.多源信息的集成与融合及其在遥感制图中的优化利用.地理科学进展,Vol.20,No.1,2001:36-43
[127]曹广真.多源遥感数据融合方法与应用研究[D].复旦大学,2006
[128]施龙青,韩进.用突水概率指数法预测底板突水.中国矿业大学学报,Vol.28,No.5,1999:442-444
[129]岳超源.决策理论与方法[M].北京:科学出版社,2003
[130]宋光兴.多属性决策理论、方法及其在矿业中的应用研究[D].昆明理工大学,2001
[131]马骞.电网调度决策支持系统的研究[D].华北电力大学,2005
[132]陈颖,倪建军,徐立中.基于D-S证据理论的多属性多人决策方法及其应用.工矿自动化,No.5.2005:16-18
[133]李福林.莱州湾东岸滨海平原海水入侵的动态监测与数值模拟研究[D].中国海洋大学,2005
[134]洪振杰.群体和多目标决策的理论、方法及大气传播研究[D].上海大学,2005
[135]Pan J,Teklu Y,Rahman S,De Castro A.An interval based MADM approach to the dentification of candidate alternatives in strategic resource planning.IEEE Transactions on Power Systems,15(4),2000:1441-1446
[136]韩进,朱鲁,程久龙,煤矿水害预测软件开发,辽宁工程技术大学学报,Vol.22,No.5,2003:589-591
[137]韩进.利用VB开发煤层底板突水预测应用软件,焦作工学院学报,Vol.19,No.2,2000:106-108
[138]Murai,T.,Sato.Association Rules from a Point of View of Modal Logic and Rough Sets.Proc.4th AFSS,2000:427-432
[139]Murai,T.,Nakata,M.,Sato.A Note on Conditional Logic and Association Rules.T.Terano et al.(eds.),New Frontiers in Artificial Intelligence,LNAI.Vol.2253,Springer,2001:390-394
[140]Murai,T.,Nakata,M.,Sato.Association Rules as Relative Modal Sentences Based on Conditional Probability.Communications of Institute of Information and Computing Machinery,Vol.5,No.2,2002:73-76
[141]施龙青,韩进.底板突水机理及预测预报[M].中国矿业大学出版社,2004.6
[142]Longqing Shi and R.N.Singh.Study of Mine Water Inrush from Floor Strata through Faults,Mine Water and the Environment.20(3) 2001:140-147
[143]康耀红.数据融合理论与应用[M].西安:西安电子科技大学出社,1997
[144]刘同明,夏祖勋,解洪成.数据融合技术及应用[M].北京:国防工业出版社,1998
[145]魏守智,金宁德.分布式客观证据融合模型及其应用.天津大学学报,Vol.39 Suppl.2006:102-107
[146]Sugie,Y.,Kobayashi,T.M.edia-integrated Biometric Person Recognition Based on the Dempster-Shafer Theory.ICPR 02,Vol.4,2002:40381-40384
[147]刘晓明,赵明华,王昌衡.基于专家系统和证据理论的路面破损原因评价方法研究.公路交通科技,Vol.22,No.7,2005.7:41-44
[148]韩立岩,周芳.基于D-S证据理论的知识融合及其应用.北京航空航天大学学报,Vol.32,No1,2006:65-68.
[149]孙锐,孙上媛,葛云峰.基于D-S证据理论的基本概率赋值的获取.现代机械,No.4,2006:22-23.
[150]何兵,郝爱民,赵沁平.一种基于不确定信息的决策方法.计算机学报,Vol.27,No.2.2004:281-285
[151]王永成,王宏飞,杨成梧.目标属性信息相关时融合识别的实现方法.兵工学报,Vol.26,No.3,2005:338-342
[152]吴蔚,张海波,王道席.基于多证据融合模型的洪水预测研究.水力发电,Vol.31,No.12.2005:22-24
[153]Lijia Xu,Yangzhou Chen,Pingyuan Cui.Improvement of D-S Evidential Theory in Multisensor Data Fusion System.Proceedings of the 5~(th) World Congress on Intelligent Control and Automation,June 15-19,Hangzhou,P.R.China,2004:3124-3128
[154]陈良洲.信息融合中的随机集理论及其在目标识别中的应用研究[D].上海交通大学,2006.7
[155]李宏坤.基于信息融合技术船舶柴油机故障诊断方法的研究与应用[D].大连理工大学,2003
[156]朱春龙.城市水环境系统控制决策支持技术研究[D].河海大学,2005
[157]田景文.地下油藏的仿真与预测[D].哈尔滨工程大学,2001
[158]龚本刚.基于证据理论的不完全信息对属性决策方法研究[D].中国科学技术大学,2007
[159]王健.大坝安全监控集成智能专家系统关键技术研究[D].河海大学,2002
[160]何金灿.信息融合技术在矿井通风系统安全评价中的应用研究[D].河海大学,2005
[161]李小春.多源遥感影像融合技术及应用研究[D].解放军信息工程大学,2005
[162]Xuanzi Hu,Cunxi Xie.Security Operation Center Design Based on D-S Evidence Theory.Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation,Luoyang,China.June 25-28,2006:2302-2306
[163]Jia Yuqin,Wanf Peixia,Li yue.Study of Manufacturing System based on Neural Network Multi-sensor Data Fusion and Its Application.International Conference on Robotics,Intelligent Systems and Signal Processing Changsha,China-October,2003:1022-1026
[164]Wei XU,Yong QIN and Houuan HUANG.A New Method of Railway Passenger Flow Forcasting Based on Spatio-Temporal Data Ming.2004 IEEE Intelligent Transportation Systems Conference Washington,D,C,USA,October 3-6,2004:402-405
[165]Hua Liu and Donald E.Brown.A New Point Process Transition Density Model for Space-Time Event Prediction.IEEE TRANSACTIONS ON SYSTEMS,MAN,AND CYBERNETICS-PARTC:APPLICATIONS AND REVIEWS,Vol.34,NO.3,AUGUST 2004:310-324
[166]Sam Y.Sung,Zhao Li,Chew L.Tan,and Peter A.Ng.Forecasting Association Rules Using Existing Data Sets.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,Vol.15,No.6,NOVEMBER/DECEMBER 2003:1448-1459
[167]林志贵.基于证据理论的信息融合研究及其在水质监测中的应用[D].河海大学,2005
[168]王永成,王宏飞,杨成梧.目标属性信息相关时融合识别的实现方法.兵工学报,Vol.26,No.3.2005:338-342