顶板动态监测集成技术研究
|
摘要
本课题的研究是山东省科技攻关项目“煤矿顶板动态监测系统”的组成部分(项目编号:2008GGA09001),也是落实我国煤矿安全生产“十一五”规划和煤矿安全科技“十一五”规划的具体行动,对于我国煤矿安全发展、构建和谐社会都具有重要的现实意义和长远的战略意义。
(1)按矿压信息来源种类及矿山压力形成的力源、监测信息的位置差异,将矿压信息监测范围分成三个区域:回采工作面观测区(Ⅰ)、内应力观测区(Ⅱ)、外应力观测区(Ⅲ),按信息来源进行分区,更加便于揭示矿压显现的规律性。矿压信息集成研究的重点是表征采场推进过程中矿山压力与覆岩运动发展的规律性。矿压显现“三要素”特征(包括矿压显现的时间、位置和程度)的差异是矿压信息集成的关键。按矿压信息力源分区所揭示的矿压显现的基本规律是矿压信息集成的理论基础。
(2)应用面向对象的技术对煤矿顶板动态监测系统进行需求分析。系统的集成包括数据集成、信息集成、硬件及网络集成、软件与分析、预测算法集成。并应用UML对整个系统进行分析和建模,提高了软件开发的速度和效率。
(3)集成系统应用了C/S+B/S的网络拓扑结构,提高了矿井通信网络的传输速度,同时也提高了控制层也即整个控制网络的通信可靠性。论文详细阐述了煤矿井下顶板动态监测网络的设计原理、方法和步骤,给出了系统的通讯协议。重点介绍了网络数据库的设计原理和各种表的结构、网络数据库利用ADO.NET进行存取访问的技术等,并对GPRS设计原理和网络信息的安全问题进行了探讨。
(4)顶板动态监测信息的集成包括井下采集的有量纲的实时信息、通过模式识别而建立的归一化无量纲信息以及能够在同一时空关系中进行对比分析的综合决策信息。采用正态统计模式识别的方法对实时信息进行归一化处理,取得了较好的效果。综合决策信息能够体现矿压显现“三要素”特征(包括矿压显现的时间、位置和程度),揭示采场推进过程中顶板运动状态和矿山压力的变化规律。
(5)研究成果在陕西省亭南煤矿106综采放顶煤工作面的矿压预测中应用,取得了较好的效果,说明了论文研究成果具有实用性。
The research on the subject is an integral part of "dynamic monitoring of coal mine roof system", it is a science and technology tackle key projects in Shandong Province (item number: 2008GGA09001), is the implementation of China's coal mine safety production "Eleventh Five-Year" plan and mine safety technology " Eleventh Five-Year "concrete action plan for the development of China's coal mine safety, it is of great important practical significance and long-term strategic significance to build a harmonious society.
(1) According to the different, including types and source of underground pressure information, monitoring location, it is divided the underground pressure information monitoring range into three areas: coal face observation area (I), internal stress observation zone (II), external stress observation zone (III). According to sources of information to partition, it is easier to reveal the regularity of mine pressure behavior. Underground pressure information integration is the focus of the study characterized the process of advancing superincumbent stratum pressure and the regularity of movement. Mine pressure behavior, "the three elements of features (including mine pressure behavior of the time, location and extent) differences is the key of information integration. By source of pressure information dividing different district, it can reveals the basic regular of pressure behavior, it is the basic law of information integration.
(2) Applying the object-oriented technology analyze the needs of dynamic monitoring of coal mine roof system. System integration includes data integration, information integration, hardware and network integration, software and analysis and integrating prediction algorithm. Using UML to the entire system analysis and modeling, it improves the speed and efficiency of Software development.
(3) The application of integrated systems of C / S + B / S of the network topology enhance the speed communication of mine networks, as well as improve the entire control network communications reliability especially control layer. Paper details the design principles, methods and steps and giving the system communication protocol of coal mine roof dynamic monitoring system. It focuses on the principles of database design and structure, the network database access using ADO.NET to access the technology, and design of the GPRS system and network information security issues are discussed.
(4) The roof integrated dynamic monitoring information include mine-dimensional real-time information, through pattern recognition and the establishment of the normalized non-dimensional information, and can at the same time and space in a comparative analysis of the relationship between the integrated decision-making information. Normal use of the method of statistical pattern recognition for real-time information on the normalization, has achieved good results. Integrated decision-making information can reflect the mine pressure behavior, "the three elements of features (including mine pressure behavior of the time, location and extent), reveals the superincumbent stratum roof movement to promote the process of state and changes in the laws of underground pressure.
(5) Research of Tingnan 106 fully mechanized caving face of the rock burst coal mine in Shaanxi province prediction applications has achieved good results, it illustrates with practical results of research papers.
(1)按矿压信息来源种类及矿山压力形成的力源、监测信息的位置差异,将矿压信息监测范围分成三个区域:回采工作面观测区(Ⅰ)、内应力观测区(Ⅱ)、外应力观测区(Ⅲ),按信息来源进行分区,更加便于揭示矿压显现的规律性。矿压信息集成研究的重点是表征采场推进过程中矿山压力与覆岩运动发展的规律性。矿压显现“三要素”特征(包括矿压显现的时间、位置和程度)的差异是矿压信息集成的关键。按矿压信息力源分区所揭示的矿压显现的基本规律是矿压信息集成的理论基础。
(2)应用面向对象的技术对煤矿顶板动态监测系统进行需求分析。系统的集成包括数据集成、信息集成、硬件及网络集成、软件与分析、预测算法集成。并应用UML对整个系统进行分析和建模,提高了软件开发的速度和效率。
(3)集成系统应用了C/S+B/S的网络拓扑结构,提高了矿井通信网络的传输速度,同时也提高了控制层也即整个控制网络的通信可靠性。论文详细阐述了煤矿井下顶板动态监测网络的设计原理、方法和步骤,给出了系统的通讯协议。重点介绍了网络数据库的设计原理和各种表的结构、网络数据库利用ADO.NET进行存取访问的技术等,并对GPRS设计原理和网络信息的安全问题进行了探讨。
(4)顶板动态监测信息的集成包括井下采集的有量纲的实时信息、通过模式识别而建立的归一化无量纲信息以及能够在同一时空关系中进行对比分析的综合决策信息。采用正态统计模式识别的方法对实时信息进行归一化处理,取得了较好的效果。综合决策信息能够体现矿压显现“三要素”特征(包括矿压显现的时间、位置和程度),揭示采场推进过程中顶板运动状态和矿山压力的变化规律。
(5)研究成果在陕西省亭南煤矿106综采放顶煤工作面的矿压预测中应用,取得了较好的效果,说明了论文研究成果具有实用性。
The research on the subject is an integral part of "dynamic monitoring of coal mine roof system", it is a science and technology tackle key projects in Shandong Province (item number: 2008GGA09001), is the implementation of China's coal mine safety production "Eleventh Five-Year" plan and mine safety technology " Eleventh Five-Year "concrete action plan for the development of China's coal mine safety, it is of great important practical significance and long-term strategic significance to build a harmonious society.
(1) According to the different, including types and source of underground pressure information, monitoring location, it is divided the underground pressure information monitoring range into three areas: coal face observation area (I), internal stress observation zone (II), external stress observation zone (III). According to sources of information to partition, it is easier to reveal the regularity of mine pressure behavior. Underground pressure information integration is the focus of the study characterized the process of advancing superincumbent stratum pressure and the regularity of movement. Mine pressure behavior, "the three elements of features (including mine pressure behavior of the time, location and extent) differences is the key of information integration. By source of pressure information dividing different district, it can reveals the basic regular of pressure behavior, it is the basic law of information integration.
(2) Applying the object-oriented technology analyze the needs of dynamic monitoring of coal mine roof system. System integration includes data integration, information integration, hardware and network integration, software and analysis and integrating prediction algorithm. Using UML to the entire system analysis and modeling, it improves the speed and efficiency of Software development.
(3) The application of integrated systems of C / S + B / S of the network topology enhance the speed communication of mine networks, as well as improve the entire control network communications reliability especially control layer. Paper details the design principles, methods and steps and giving the system communication protocol of coal mine roof dynamic monitoring system. It focuses on the principles of database design and structure, the network database access using ADO.NET to access the technology, and design of the GPRS system and network information security issues are discussed.
(4) The roof integrated dynamic monitoring information include mine-dimensional real-time information, through pattern recognition and the establishment of the normalized non-dimensional information, and can at the same time and space in a comparative analysis of the relationship between the integrated decision-making information. Normal use of the method of statistical pattern recognition for real-time information on the normalization, has achieved good results. Integrated decision-making information can reflect the mine pressure behavior, "the three elements of features (including mine pressure behavior of the time, location and extent), reveals the superincumbent stratum roof movement to promote the process of state and changes in the laws of underground pressure.
(5) Research of Tingnan 106 fully mechanized caving face of the rock burst coal mine in Shaanxi province prediction applications has achieved good results, it illustrates with practical results of research papers.
引文
1.宋振骐.实用矿山压力控制[M].徐州:中国矿业大学出版社,1988.
2.钱鸣高,刘听成主编.矿山压力及其控制(修订本)[M].北京:煤炭工业出版社,1992.
3.钱鸣高,缪协兴,许家林.岩层控制的关键层理论[M].徐州:中国矿业大学出版社,2003.
4.钱鸣高,李鸿昌.采场上覆岩层活动规律及其对矿山压力的影响[J].煤炭学报,1982(2):1-12.
5.钱鸣高,何富连,王作棠.再论采场矿山压力理论[M].中国矿业大学学报,1994,23(3):1-9.
6.岑传鸿.采场顶板控制与监测技术[M].中国矿业大学出版社,1998.
7.钱鸣高,缪协兴,何富连.采场“砌体梁”结构的关键块分析[J].煤炭学报,1994,19(6):557-563.
8.钱鸣高,缪协兴.采场上覆岩层结构的形态与受力分析[J].岩石力学与工程学报,1995,14(2):97-106.
9.陈炎光,徐永圻.中国采煤方法[M].徐州:中国矿业大学出版社,2001.
10.陈炎光,钱鸣高.中国煤矿采场围岩控制[M].徐州:中国矿业大学出版社,1994:272-278.
11.钱鸣高,缪协兴,许家林.岩层控制中的关键层理论研究[J].煤炭学报,1996,21(3):226-230.
12.钱鸣高,茅献彪,缪协兴.采场覆岩中关键层上载荷的变化规律[J].煤炭学报,1998,23(2):135-139.
13.茅献彪,缪协兴,钱鸣高.采动覆岩中关键层的破断规律研究[J].中国矿业大学学报,1998,27(1):39-42.
14.许家林,钱鸣高.关键层运动对覆岩及地表移动影响的研究[J].煤炭学报,2000,25(2):122-126.
15.缪协兴,钱鸣高.采场围岩整体结构与砌体梁力学模型[J].矿山压力与顶板管理,1995(3):3-9.
16.何富连,钱鸣高,刘长友.高产高效工作面支架--围岩保障系统[M].徐州:中国矿业大学出版社,1997:62-124.
17.黄庆享.浅埋煤层长壁开采顶板结构及岩层控制研究[M].徐州:中国矿业大学出版社,2000,28-33.
18.张顶立.综合机械化放顶煤井采采场矿山压力控制[M].北京:煤炭工业出版社,1998.
19.曹胜根,缪协兴.超长综放工作面采场矿山压力控制[J].煤炭学报,2001,26(6):621-625.
20.宋振骐,宋扬,蒋宇静等.回采工作面顶板控制设计的方法与步骤[J].煤炭科学技术,1989(9),6-11.
21.宋扬,宋振骐.采场支承压力显现规律与上覆岩层的运动关系[J].煤炭学报,1984(1):47-56.
22.姜福兴.矿山压力与岩层控制[M].北京:煤炭工业出版社,2004.
23.姜福兴.采场顶板控制及其专家系统[M].徐州:中国矿业大学出版社,1995.
24.谭云亮,何孔翔,马植胜.坚硬顶板冒落的离层遥测预报系统研究[J].岩石力学与工程学报,2006,25(5):1705-1708.
25.谭云亮,刘传孝.巷道围岩稳定性预测与控制的研究[M].中国矿业大学出版社,1999.
26.王连国,李明远,王学知.深部高应力极软岩巷道锚注支护技术研究[J].岩石力学与工程学报,2005,24(16):2889-2893.
27.杨增夫.煤矿重大事故预测和控制的岩层动力基础信息的研究[D].青岛:山东科技大学,2003.
28.王春秋.综放采场顶板事故及沉陷灾害预测与控制研究[D].泰安:山东科技大学,2005.
29.黄自伟,崔玉亮,闫相宏.矿压测试仪器设计[M].中国矿业大学出版社,1996,10.
30.何娇云.矿山采动灾害监测及控制技术研究[D].湖北武汉:武汉理工大学,2007.
31.杨子龙.综采工作面综合监控系统的研究与设计[D].山东泰安:山东科技大学,2000.
32.方丹.龙滩地下洞室群监测资料反馈分析及监控预测研究[D].南京:河海大学,2005.
33.周莉,冯严冰.信息融合在矿井监控系统数据处理中的应用研究[J].煤炭工程,2007,11:123-125.
34.Zhang W,Branicky M S,Phillips S M.Stability of Networked Control System[J].IEEE Control Systems Magazine,2001,21(1):84-99.
35.CHEN Quan jun.Risk Identification of Coalmine System Basing on Analytic Hierarchy Process and Genetic Algorithm[C].Progress in safety science and technology.2005:1460-1465.
36.欧阳振华,蔡美峰,李长洪.北溶河铁矿地应力与采动应力测量[J].中国矿业2005,14(12):67-70.
37.吴健,张勇.综放采场支架-围岩关系的新概念[J].煤炭学报,2001,26(4):350-355.
38.陈鸿章.矿山系统工程的基本方法与信息论的应用[M].北京:煤炭工业出版社,2000.
39.张申,丁恩杰,武增.煤矿井下综合业务数字网网络结构的研究[J].煤炭学报,2002,27(2):206-209.
40.冯冬芹,廖智军.基于以太网的工业控制网络实时通信模型研究[J].仪器仪表学报,2005,26(9):891-893.
41.张海藩.软件工程导论(第五版)[M].北京:清华大学出版社,2008.
42.邵维忠,杨芙清.面向对象的系统分析[M].北京:清华大学出版社,1998.
43.邵维忠,杨芙清.面向对象的系统设计[M].北京:清华大学出版社,2003.
44.余进山.实时UML与Rational Rose Real Time建模案例剖析[M].北京:电子工业出版社,2007.
45.王少锋.面向对象技术UML教程[M].北京:清华大学出版社,2006.
46.谢希仁.计算机网络(第五版)[M].北京:电子工业出版社,2008.
47.刘福胜.基于非线性分析的锚注支护机理研究[D].泰安:山东科技大学,2006.
48.汪华君.四面采空采场“θ”型覆岩多层空间结构运动及控制研究[D].青岛:山东科技大学,2006
49.成云海.微地震定位监测在采场冲击地压防治中的应用[D].青岛:山东科技大学,2006
50.kaiwu LIANG,yang SONG,yong ZHANG.Probe into the Classification of Occupational Injury Risk in Coal mine[C].Asia Pacific Symposium on Safety 2007,11:377-381.
51.曹庆贵.煤矿安全评价与安全信息管理[M].徐州:中国矿业大学出版社,1993,161-162.
52.曹庆贵.企业风险监控与安全管理预警技术研究[D].泰安:山东科技大学,2005.
53.国家安全生产监督管理局(国家煤炭安全监察局)编.安全评价(修订版)[M].北京:煤炭工业出版社,2004,3-4.
54.谢庆森.安全人机工程[M].天津:天津大学出版社,1999,10.
55.张景林,崔国璋.安全系统工程[M].北京:煤炭工业出版社,2002.
56.刘乃丽.ASP.NET 2.0网络开发详解[M].北京:电子工业出版社,2008.
57.李涛,刘凯奎,王永皎.Visual C++SQL Server数据库开发与实例[M].北京:清华大学出版社,2006.
58.丁士锋.Visual C#2005+SQL Server 2005数据库与网络开发[M].北京:电子工业出版社,2008.
59.范逸之.Visual Basic与分布式监控系统[M].北京:清华大学出版社,2002.
60.赵辉,叶子青.Visual C++系统实例精粹.[M].北京:人民邮电出版社,2005,8.
61.吕伟臣,王媛红.SQL Server 2005数据库管理高级教程[M].北京:清华大学出版社,2007.
62.Kruglinski D J,Wingo S.Visual C++6.0技术内幕[M].北京:北京希望电子出版社,1999.
63.Ma Qianjie,Hu Nailian,Cui Shuying,et al.Advancement of Risk Theory and Systematic Evaluation on Coalmine[A].Safety Progress in safety science and technology,2004:46-51.
64.Q M Xie,Y Y Xia.Systems theory for risk evaluation of landslide hazard[J]。International Journal of Rock Mechanics and Mining Sciences,2004,41(3):1-6.
65.索永录.Characteristics of ground behavior of fully mechanized caving faces in hard thick seams.Journal of Coal Science & Engineering,2003,(02):5-10.
66.边肇祺,张学工等.模式识别[M].北京:清华大学出版社,2002.
67.Shen,B.,King,A.,Guo,H.Displacement,stress and seismicity in roadway roofs during mining-induced failure[J].International Journal of Rock Mechanics and Mining Sciences 2008,45(5):672-688.
68.Liu,Shao-Wei,Xu,Li-Li.Stress state and caving danger of the roof in bolt supporting roadway[J].Journal of Coal Science and Engineering,2006,12(2):34-36.
69.盛骤,谢式千,潘承毅.概率论与数理统计[M].北京:高度教育出版社,2001.
70.蒋泽军.模糊数学教程[M].北京:国防工业出版社,2004.
71.胡大可,李培弘,方路平.基于8051单片机的嵌入式开发指南[M].北京:电子工业出版社,2003.
72.何友,王国宏.多传感器信息融合及应用[M].北京:电子工业出版社,2007.
73.龚建伟,熊光明.Visual C++/Turbo C串口通讯编程实践[M].北京:电子工业出版社,2004.
74.求是科技.Visual C++6.0程序设计与开发技术大全[M].北京:人民邮电出版社,2005.
75.丁国明,徐敏.全矿井综合自动化软件平台的实现[J].矿业安全与环保,2007,34(6):70-72.
76.张勇,宋扬,毕雅静,闫相宏.基于CAN总线的项板离层计算机监控系统的研究[J].采矿与安全工程学报,2008,25(2):82-86.
77.张勇,宋扬,闫相宏.顶板动态监测集成技术研究[J].矿山机械,2008,36(10):44-47.
78.张勇,闫相宏,宋扬.基于网络的煤矿巷道顶板离层计算机监测预报系统研究[J].矿业 安全与环保,2008,35(6):80-82.
79.ZHANG Yong,YAN Xiang-hong,Song yang.The computer bracket pressure monitor system of fully mechanized coalface in coal mine based on CAN Bus,Proceedings of the SNPD 2007[C].2007,11:317-322.
80.John A.Hudson.Engineering rock mechanics[M].Redwood Books Press,1997.
81.F.0.Franclss.Weak Rock Tunelling[M]..A.A.Balkema Press,1997.
82.Kidybinski.Strata Control in Deep Mines[M]..A.A.Balkema Press,1990.
83.曹茂虹,徐钊,杨芬.基于工业以太网的煤矿综合自动化系统[J].煤矿机电,2007,2:55-57.
84.薛涛,刁明光,黄文辉.煤炭企业信息化建设的思路和实践[J].煤炭学报,2007,32(9):1006-1009.
85.林晶,茅忠明.基于GPRS技术双向监控在化工行业中的应用[J].计算机工程与设计,2007,28(24):6036-6038.
86.Liang shan Shao,Hua Fu.Intelligent Monitoring System of Mine Gas[J].Journal of China Coal Society,2002,27(2):33-38.
87.Fu hua.An application of artificial neutral network to control of fan ventilator in coal mines[J].Journal of coal science & engineering,2002,8(2):80-83.
88.Roger JS,Sun C T.Functional Equivalence between Radial Basis Function Networks and Fuzzy Inference systems[J].IEEE Trans on Neural Networks,1995,4(1):156-158.
89.Khan S.Z.A new adaptive technique for on- line partial discharge monitoring[J].IEEE Trans on Dielectric and Electrical Institution,1995,2(4):700-705.
90.孟宪锐,问荣峰,刘节影,等.千米深井大倾角煤层煤层综放采场矿压显现实测研究[J].煤炭科学技术,2007,35(11):14-17.
91.夏良.大佛寺煤矿综合自动化网络系统的实现[J].煤炭科学技术,2007,35(11):30-42.
92.边肇祺,张学工.模式识别(第二版)[M].北京:清华大学出版社,2000,1
93.张勇,钱艺,张莉.基于神经网络的银行信贷决策支持系统[J].中国金融电脑,2004,5(2):44-46.
94.YI S Y,LEE J,SHIN H.Operating system support for the trader in distributed real-time environments[C].Proceedings of the Fifth IEEE Computer Society Workshop on Future Trends,1995:194 199.
95.MILANOVIC A,SRBLJIC S,RADEJ J.Performance of distributed systems based on Ethernet and personal computers[C].Proceedings of the IEEE International Symposium on Industrial Electronics,1999,1:79 83.
96.Hoai Hoang.Real-time communication for industrial embedded systems using switched Ethernet[C].Parallel and Distributed Processing Symposium,Proceedings 18th International,2004:127 130.
97.WEIGEND A B,et al.Predicting the future:a connectionist approach[J].International Journal of Neural System,1990(1):193 209.
98.CHAKRABORTY K,et al.Forecasting the behavior of multivariate time series using neural networks[J].Neural Networks,1992,5:961 970.
99.孟庆浩,周清清,禹东川.基于GSM/GPRS的海上导航灯器远程监测系统[J].仪器仪表学报,195-198.
100.Ren Fang,Yang Zhao jian.Study on the coal-rock interface recognition system based on multi-sensor information fusion technique[J].Chinese journal of mechanical engineering,2003(3):34-37.
101.黄飞,孟跃科,明德祥.测试仪器现状及对未来仪器的展望[J].计算机测量与控制,2008,16(1):4-7.
102.冯夏庭,周辉,李邵军,等.复杂条件下岩石工程安全性的智能分析评估和时空预测系统[J].岩石力学与工程学报,2008,27(9):1741-1756.
103.刘一江,周惠蒙,彭楚武.井下交通信号控制及指挥系统的研究与实现[J].计算机测量与控制,2008,16(1):58-61.
104.龚建伟,熊光明.Visual C++/Turbo C串口通讯编程实践[M].北京:电子工业出版社,2004.
105.杨素行.模拟电子技术基础建模教程[M].北京:清华大学出版社,2006.
106.李朝青.单片机&DSP外围数字IC技术手册.北京:北京航空航天大学出版社,2003.
2.钱鸣高,刘听成主编.矿山压力及其控制(修订本)[M].北京:煤炭工业出版社,1992.
3.钱鸣高,缪协兴,许家林.岩层控制的关键层理论[M].徐州:中国矿业大学出版社,2003.
4.钱鸣高,李鸿昌.采场上覆岩层活动规律及其对矿山压力的影响[J].煤炭学报,1982(2):1-12.
5.钱鸣高,何富连,王作棠.再论采场矿山压力理论[M].中国矿业大学学报,1994,23(3):1-9.
6.岑传鸿.采场顶板控制与监测技术[M].中国矿业大学出版社,1998.
7.钱鸣高,缪协兴,何富连.采场“砌体梁”结构的关键块分析[J].煤炭学报,1994,19(6):557-563.
8.钱鸣高,缪协兴.采场上覆岩层结构的形态与受力分析[J].岩石力学与工程学报,1995,14(2):97-106.
9.陈炎光,徐永圻.中国采煤方法[M].徐州:中国矿业大学出版社,2001.
10.陈炎光,钱鸣高.中国煤矿采场围岩控制[M].徐州:中国矿业大学出版社,1994:272-278.
11.钱鸣高,缪协兴,许家林.岩层控制中的关键层理论研究[J].煤炭学报,1996,21(3):226-230.
12.钱鸣高,茅献彪,缪协兴.采场覆岩中关键层上载荷的变化规律[J].煤炭学报,1998,23(2):135-139.
13.茅献彪,缪协兴,钱鸣高.采动覆岩中关键层的破断规律研究[J].中国矿业大学学报,1998,27(1):39-42.
14.许家林,钱鸣高.关键层运动对覆岩及地表移动影响的研究[J].煤炭学报,2000,25(2):122-126.
15.缪协兴,钱鸣高.采场围岩整体结构与砌体梁力学模型[J].矿山压力与顶板管理,1995(3):3-9.
16.何富连,钱鸣高,刘长友.高产高效工作面支架--围岩保障系统[M].徐州:中国矿业大学出版社,1997:62-124.
17.黄庆享.浅埋煤层长壁开采顶板结构及岩层控制研究[M].徐州:中国矿业大学出版社,2000,28-33.
18.张顶立.综合机械化放顶煤井采采场矿山压力控制[M].北京:煤炭工业出版社,1998.
19.曹胜根,缪协兴.超长综放工作面采场矿山压力控制[J].煤炭学报,2001,26(6):621-625.
20.宋振骐,宋扬,蒋宇静等.回采工作面顶板控制设计的方法与步骤[J].煤炭科学技术,1989(9),6-11.
21.宋扬,宋振骐.采场支承压力显现规律与上覆岩层的运动关系[J].煤炭学报,1984(1):47-56.
22.姜福兴.矿山压力与岩层控制[M].北京:煤炭工业出版社,2004.
23.姜福兴.采场顶板控制及其专家系统[M].徐州:中国矿业大学出版社,1995.
24.谭云亮,何孔翔,马植胜.坚硬顶板冒落的离层遥测预报系统研究[J].岩石力学与工程学报,2006,25(5):1705-1708.
25.谭云亮,刘传孝.巷道围岩稳定性预测与控制的研究[M].中国矿业大学出版社,1999.
26.王连国,李明远,王学知.深部高应力极软岩巷道锚注支护技术研究[J].岩石力学与工程学报,2005,24(16):2889-2893.
27.杨增夫.煤矿重大事故预测和控制的岩层动力基础信息的研究[D].青岛:山东科技大学,2003.
28.王春秋.综放采场顶板事故及沉陷灾害预测与控制研究[D].泰安:山东科技大学,2005.
29.黄自伟,崔玉亮,闫相宏.矿压测试仪器设计[M].中国矿业大学出版社,1996,10.
30.何娇云.矿山采动灾害监测及控制技术研究[D].湖北武汉:武汉理工大学,2007.
31.杨子龙.综采工作面综合监控系统的研究与设计[D].山东泰安:山东科技大学,2000.
32.方丹.龙滩地下洞室群监测资料反馈分析及监控预测研究[D].南京:河海大学,2005.
33.周莉,冯严冰.信息融合在矿井监控系统数据处理中的应用研究[J].煤炭工程,2007,11:123-125.
34.Zhang W,Branicky M S,Phillips S M.Stability of Networked Control System[J].IEEE Control Systems Magazine,2001,21(1):84-99.
35.CHEN Quan jun.Risk Identification of Coalmine System Basing on Analytic Hierarchy Process and Genetic Algorithm[C].Progress in safety science and technology.2005:1460-1465.
36.欧阳振华,蔡美峰,李长洪.北溶河铁矿地应力与采动应力测量[J].中国矿业2005,14(12):67-70.
37.吴健,张勇.综放采场支架-围岩关系的新概念[J].煤炭学报,2001,26(4):350-355.
38.陈鸿章.矿山系统工程的基本方法与信息论的应用[M].北京:煤炭工业出版社,2000.
39.张申,丁恩杰,武增.煤矿井下综合业务数字网网络结构的研究[J].煤炭学报,2002,27(2):206-209.
40.冯冬芹,廖智军.基于以太网的工业控制网络实时通信模型研究[J].仪器仪表学报,2005,26(9):891-893.
41.张海藩.软件工程导论(第五版)[M].北京:清华大学出版社,2008.
42.邵维忠,杨芙清.面向对象的系统分析[M].北京:清华大学出版社,1998.
43.邵维忠,杨芙清.面向对象的系统设计[M].北京:清华大学出版社,2003.
44.余进山.实时UML与Rational Rose Real Time建模案例剖析[M].北京:电子工业出版社,2007.
45.王少锋.面向对象技术UML教程[M].北京:清华大学出版社,2006.
46.谢希仁.计算机网络(第五版)[M].北京:电子工业出版社,2008.
47.刘福胜.基于非线性分析的锚注支护机理研究[D].泰安:山东科技大学,2006.
48.汪华君.四面采空采场“θ”型覆岩多层空间结构运动及控制研究[D].青岛:山东科技大学,2006
49.成云海.微地震定位监测在采场冲击地压防治中的应用[D].青岛:山东科技大学,2006
50.kaiwu LIANG,yang SONG,yong ZHANG.Probe into the Classification of Occupational Injury Risk in Coal mine[C].Asia Pacific Symposium on Safety 2007,11:377-381.
51.曹庆贵.煤矿安全评价与安全信息管理[M].徐州:中国矿业大学出版社,1993,161-162.
52.曹庆贵.企业风险监控与安全管理预警技术研究[D].泰安:山东科技大学,2005.
53.国家安全生产监督管理局(国家煤炭安全监察局)编.安全评价(修订版)[M].北京:煤炭工业出版社,2004,3-4.
54.谢庆森.安全人机工程[M].天津:天津大学出版社,1999,10.
55.张景林,崔国璋.安全系统工程[M].北京:煤炭工业出版社,2002.
56.刘乃丽.ASP.NET 2.0网络开发详解[M].北京:电子工业出版社,2008.
57.李涛,刘凯奎,王永皎.Visual C++SQL Server数据库开发与实例[M].北京:清华大学出版社,2006.
58.丁士锋.Visual C#2005+SQL Server 2005数据库与网络开发[M].北京:电子工业出版社,2008.
59.范逸之.Visual Basic与分布式监控系统[M].北京:清华大学出版社,2002.
60.赵辉,叶子青.Visual C++系统实例精粹.[M].北京:人民邮电出版社,2005,8.
61.吕伟臣,王媛红.SQL Server 2005数据库管理高级教程[M].北京:清华大学出版社,2007.
62.Kruglinski D J,Wingo S.Visual C++6.0技术内幕[M].北京:北京希望电子出版社,1999.
63.Ma Qianjie,Hu Nailian,Cui Shuying,et al.Advancement of Risk Theory and Systematic Evaluation on Coalmine[A].Safety Progress in safety science and technology,2004:46-51.
64.Q M Xie,Y Y Xia.Systems theory for risk evaluation of landslide hazard[J]。International Journal of Rock Mechanics and Mining Sciences,2004,41(3):1-6.
65.索永录.Characteristics of ground behavior of fully mechanized caving faces in hard thick seams.Journal of Coal Science & Engineering,2003,(02):5-10.
66.边肇祺,张学工等.模式识别[M].北京:清华大学出版社,2002.
67.Shen,B.,King,A.,Guo,H.Displacement,stress and seismicity in roadway roofs during mining-induced failure[J].International Journal of Rock Mechanics and Mining Sciences 2008,45(5):672-688.
68.Liu,Shao-Wei,Xu,Li-Li.Stress state and caving danger of the roof in bolt supporting roadway[J].Journal of Coal Science and Engineering,2006,12(2):34-36.
69.盛骤,谢式千,潘承毅.概率论与数理统计[M].北京:高度教育出版社,2001.
70.蒋泽军.模糊数学教程[M].北京:国防工业出版社,2004.
71.胡大可,李培弘,方路平.基于8051单片机的嵌入式开发指南[M].北京:电子工业出版社,2003.
72.何友,王国宏.多传感器信息融合及应用[M].北京:电子工业出版社,2007.
73.龚建伟,熊光明.Visual C++/Turbo C串口通讯编程实践[M].北京:电子工业出版社,2004.
74.求是科技.Visual C++6.0程序设计与开发技术大全[M].北京:人民邮电出版社,2005.
75.丁国明,徐敏.全矿井综合自动化软件平台的实现[J].矿业安全与环保,2007,34(6):70-72.
76.张勇,宋扬,毕雅静,闫相宏.基于CAN总线的项板离层计算机监控系统的研究[J].采矿与安全工程学报,2008,25(2):82-86.
77.张勇,宋扬,闫相宏.顶板动态监测集成技术研究[J].矿山机械,2008,36(10):44-47.
78.张勇,闫相宏,宋扬.基于网络的煤矿巷道顶板离层计算机监测预报系统研究[J].矿业 安全与环保,2008,35(6):80-82.
79.ZHANG Yong,YAN Xiang-hong,Song yang.The computer bracket pressure monitor system of fully mechanized coalface in coal mine based on CAN Bus,Proceedings of the SNPD 2007[C].2007,11:317-322.
80.John A.Hudson.Engineering rock mechanics[M].Redwood Books Press,1997.
81.F.0.Franclss.Weak Rock Tunelling[M]..A.A.Balkema Press,1997.
82.Kidybinski.Strata Control in Deep Mines[M]..A.A.Balkema Press,1990.
83.曹茂虹,徐钊,杨芬.基于工业以太网的煤矿综合自动化系统[J].煤矿机电,2007,2:55-57.
84.薛涛,刁明光,黄文辉.煤炭企业信息化建设的思路和实践[J].煤炭学报,2007,32(9):1006-1009.
85.林晶,茅忠明.基于GPRS技术双向监控在化工行业中的应用[J].计算机工程与设计,2007,28(24):6036-6038.
86.Liang shan Shao,Hua Fu.Intelligent Monitoring System of Mine Gas[J].Journal of China Coal Society,2002,27(2):33-38.
87.Fu hua.An application of artificial neutral network to control of fan ventilator in coal mines[J].Journal of coal science & engineering,2002,8(2):80-83.
88.Roger JS,Sun C T.Functional Equivalence between Radial Basis Function Networks and Fuzzy Inference systems[J].IEEE Trans on Neural Networks,1995,4(1):156-158.
89.Khan S.Z.A new adaptive technique for on- line partial discharge monitoring[J].IEEE Trans on Dielectric and Electrical Institution,1995,2(4):700-705.
90.孟宪锐,问荣峰,刘节影,等.千米深井大倾角煤层煤层综放采场矿压显现实测研究[J].煤炭科学技术,2007,35(11):14-17.
91.夏良.大佛寺煤矿综合自动化网络系统的实现[J].煤炭科学技术,2007,35(11):30-42.
92.边肇祺,张学工.模式识别(第二版)[M].北京:清华大学出版社,2000,1
93.张勇,钱艺,张莉.基于神经网络的银行信贷决策支持系统[J].中国金融电脑,2004,5(2):44-46.
94.YI S Y,LEE J,SHIN H.Operating system support for the trader in distributed real-time environments[C].Proceedings of the Fifth IEEE Computer Society Workshop on Future Trends,1995:194 199.
95.MILANOVIC A,SRBLJIC S,RADEJ J.Performance of distributed systems based on Ethernet and personal computers[C].Proceedings of the IEEE International Symposium on Industrial Electronics,1999,1:79 83.
96.Hoai Hoang.Real-time communication for industrial embedded systems using switched Ethernet[C].Parallel and Distributed Processing Symposium,Proceedings 18th International,2004:127 130.
97.WEIGEND A B,et al.Predicting the future:a connectionist approach[J].International Journal of Neural System,1990(1):193 209.
98.CHAKRABORTY K,et al.Forecasting the behavior of multivariate time series using neural networks[J].Neural Networks,1992,5:961 970.
99.孟庆浩,周清清,禹东川.基于GSM/GPRS的海上导航灯器远程监测系统[J].仪器仪表学报,195-198.
100.Ren Fang,Yang Zhao jian.Study on the coal-rock interface recognition system based on multi-sensor information fusion technique[J].Chinese journal of mechanical engineering,2003(3):34-37.
101.黄飞,孟跃科,明德祥.测试仪器现状及对未来仪器的展望[J].计算机测量与控制,2008,16(1):4-7.
102.冯夏庭,周辉,李邵军,等.复杂条件下岩石工程安全性的智能分析评估和时空预测系统[J].岩石力学与工程学报,2008,27(9):1741-1756.
103.刘一江,周惠蒙,彭楚武.井下交通信号控制及指挥系统的研究与实现[J].计算机测量与控制,2008,16(1):58-61.
104.龚建伟,熊光明.Visual C++/Turbo C串口通讯编程实践[M].北京:电子工业出版社,2004.
105.杨素行.模拟电子技术基础建模教程[M].北京:清华大学出版社,2006.
106.李朝青.单片机&DSP外围数字IC技术手册.北京:北京航空航天大学出版社,2003.