水利工程信息管理系统的设计与实现
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
利用计算机实现大坝安全监测信息的智能管理和分析是大坝安全监测信息管理系统发展的趋势。本文结合实例工程,从计算机图形技术、网络技术、数据挖掘技术等方面对大坝安全监测信息管理系统进行了研究。主要研究内容如下:
     (1)根据大坝安全监测信息管理系统的专业特点,研究了信息系统的组成、分类以及信息系统中的模型等概念;并论述了采用B/S与C/S集成的混合式三层结构的优点,将使得系统在性能、开放性和灵活性之间达到良好的平衡。
     (2)针对大坝安全监测的特点,详细地研究了信息系统中功能模块的设计。
     (3)对数据库结构采用实体联系E-R数据模型优化,有效提高了数据存储及可控管理的效率;并探讨了信息管理系统数据库以及网络安全性策略。
     (4)研究了信息管理系统中的图形技术及其在网络上的实现要点;探讨了大坝安全监测信息的数据挖掘处理过程,构建了大坝安全监测信息的数据挖掘应用平台的构架。
     (5)研究了基于组件技术的软件集成,实现了大型复杂系统模块分解的合理性和科学性。
Along with fast development of our country national economy and unceasing development of hydro-electric resources , the water conservation and electricity enterprise has also obtained the achievement which attracts worldwide attention. Since the founding of the nation, our country altogether has constructed the near 86,000 each kind of reservoir, the reservoir inpoundment total quantity reaches 500,000,000,000 m3, which is equal in the national runoff total quantity 1/6. These water conservation and electricity project and the corresponding building have played the vital role in development use of flood prevention, electricity generation, aquaculture and tourist resources aspects and so on, and has obtained the significant social efficiency and the economic efficiency, it is the national economy foundation industry and the infrastructure.
     Because of the various reason of the hydrology, the geology, the construction quality, the material get older, the movement management and so on, there had some problems in the partial dam , and there affected benefit display of these project, even threatened the downstream people's life and property safety. Because the hydrology, the geology, the construction quality, the material get older, the movement management and so on the various reason, the partial dam existence security problem, is affecting these project benefit display, even threatens the downstream people's life and property safety. For the reservoir security, it must implement the reservoir safety observation.。Because of many observation project in the reservoir, and along with the observation age limit increase, it will accumulate the massive observed data, and the work is huge to carry on processing and the analysis work loading to these materials, and sometime it will have to entrust the unit concerned generally to complete with 1-2 year, thus it will not be able to analyze the achievement to use in monitoring promptly the water conservation building the safety operation, it also will not be able to discover the hidden danger promptly, and miss an opportunity because of a delay, and cause the nonessential losses. Therefore, using fully current computer software and hardware technology to develop hydraulic engineering information management system, we carries on the scientific management to the project observed data, and performs the quantitative analysis qualitatively, and realizes to the building real-time monitoring, not only can enhance the engineer's unit greatly the working efficiency, but may promptly provide the policy-making basis for the leadership, and it is now development tendency of the informationization social.
     Based on dam safety monitoring information system management principle, the method and the process, it has studied thoroughly to how to organize to manage in the dam safety monitoring massive data, the graph information as well as the data processing,and how simultaneously to develop the system architecture which might expand, and may promote to make the detailed analysis. Finally,it applied the above theory to Songshanxia dam safety monitoring information management system development. This article obtains the main research results to be as follows:
     (1) According to specialized characteristic of the dam safety monitoring information management system , information system in composition, classified as well as information system concepts and so on model have been studied; And it discuss merits of the B/S and the C/S integration mixed three structure, and it will cause the system between the performance, openness and the flexibility to achieve the good balance.
     (2) In view of the dam safe monitor characteristic, the function module design of the information system has been studied in detail.
     (3) Using the E-R data model to optimize the database structure , it enhances the data storage and the controllable management effectively. And it discusses the information management system database as well as the network security strategy.
     (4) It studied graph technology of the information management system and realization main points in the network. And data mining treating processes of the dam safety monitoring information has been discussed .and data mining to apply the platform the skeleton has been constructed .
     (5) Based on the module technology of software integration, it has realized the rationality and the scientific nature of module decomposes of the large-scale complex system .
     Obtained research results of this article have the important application and the promoted value in the water conservation profession information management.
引文
[1]李君纯.我国水库坝工安全的状况及前景[C].全国第三届大坝安全学术讨论会论文集,南京:河海大学出版社,1996.8:106-107.
    [2]曹楚生.从大坝设计和风险分析看大坝安全[J].水利水电工程设计, Vol.19,No.1,2000:21-23.
    [3]水电站大坝安全管理办法,电力工业部,1997.1.15:111-118.
    [4]汤子瀛、哲凤屏、汤小丹、王侃雅.计算机网络技术及其应用[M].成都,电子科技大学出版社,2002.7:234-249.
    [5]李珍照.意大利的大坝安全监测[J].大坝观测与土工测试.Vol.22 No.1,1998:34-35.
    [6]陈宗梁.法国的大坝安全管理和监测技术[J].水利发电,1998(5) :35-37 .
    [7] E.G.Gaziev. Safety Provision and an Expert System for Diagnosing and Predicting Dam Behavior[J]. Hydrotechnical Construction, Vol.34 No.6, 2000:88-101.
    [8] Yu.S.Vasil’ev, S.N.Dobrynin, V.I.Maslikon,T.S.Tikhonova、I.G.Kudryasheva. The Expert Information System“Ecological Safety of Hydroelectric Power Plants”[J].Hydrotechnical Construction, Vol.34 No.3, 2000:41-43.
    [9] P.BONALDI, F.CHIRICO, G.LA BARBERA. ISIDE CENTER TO MANAGE DAM SAFETY AND SURVEILLANCE IN THE SOUTH OF ITALY[C]. Beijing,COMMISSION INTERNATION DES GRANDS BARRAGES,2000:53-57.
    [10] Glen R.Andersen, Luc E.Chouinard, Charles Bouvier,、W.Edward Back. Ranking Procudure on Maintenance Tasks for Monitoring of Embankment Dams[J]. Journal of Geotechnical and Geoenvironmental Engineering, April 1999:114-117.
    [11] Peter P.aberle, Robert L.Reinhardt, Arden D.Mendenhall. Computer-Monitored Grouting[J]. Civil Engineering, May 1991:53-57.
    [12]杨杰、吴中如.大坝安全监控的国内外研究现状与发展[J].西安理工大学学报, Vol.18 N0.1,2002:33-35 .
    [13]温志萍.开放式大坝安全监控系统[D].河海大学硕士学位论文.2000.1:1-15.
    [14]李吉绍,李树堂,吴俊伟,龙洪.大坝安全远程在线监测系统的研制[J].大坝安全监测,2002(5) :23-25 .
    [15]王献辉,顾冲时,刘成栋,周敏.应用VS.NET开发B/S结构大坝安全监测Web系统软件[J].水电自动化与大坝监测,2003(1) :45-46.
    [16]虞春峰,陈刚.基于B/S的多层分布式结构的应用[J].计算机与现代化,2002(11) :32-34 .
    [17]张进平,等.大坝安全监测数据处理系统开发及应用[R].大坝安全监测资料分析及信息处理研讨班交流资料. 2001(3):22-24.
    [18] Liebowitz Jay. Handbook of applied expert systems [M]. CRC Press, 1998.
    [19] Joseph Giarratano and Gary Riley. Expert System Principle and programming [M]. PWS Publishing Company, 1998:71-98.
    [20]陈世福,陈兆乾.人工智能与知识工程[M].南京大学出版社, 1997:67-86.
    [21]张全寿,周建锋.专家系统建造原理及方法[M].中国铁道出版社, 1999:21-23.
    [22]曹文君.知识库系统原理及应用[M].上海:复旦大学出版社, 1995:32-45.
    [23] Abraham Silberschatz,Henry F.Korth等.数据库系统概念[M].北京:电子工业出版社,2000(8):101-113.
    [24]王能斌.数据库系统原理[M].北京:电子工业出版社,2001(1) :78-90.
    [25] Alex Berson,George Anderson. SYBASE与客户/服务器[M].北京:电子工业出版社,1995(12):32-41.
    [26] Microsoft Corporation. SQL Sever 2000构架解析[M].北京:科学出版社,2000(10) :11-23.
    [27] Divya Chaturvedi,Paritosh Pathak. SQL Server 7管理手册[M].北京:机械工业出版社,2000(1) :21-23.
    [28] Michale R. Lyu.软件可靠性工程手册[M].北京:电子工业出版社,1994(3) :111-123.
    [29] Bernar Kolman,Robert C.Busby.离散数学结构[M].北京:高等教育出版社,2001(7) :14-19.
    [30]黄华.中小企业数据库安全分析[J].山东省农业管理干部学院.2004.3:123-125
    [31]楼世博,金晓龙等.图论及其应用[M].北京:人民邮电出版社,1982:42-50.
    [32] William Stallings,数据与计算机通信(第六版)(Data & Computer Communications Sixth Edition)[M].北京:电子工业出版社,2001(5) :100-109.
    [33]张尧学,王晓春,赵艳标.计算机网络与Internet教程[M].北京:清华大学出版社,2000(2) :11-20.
    [34]门槛创作室. Visual InterDev 6.0实例教程.北京:电子工业出版社. 1999(4) :32-45.
    [35] David R.Alla H.佩特里网和逻辑控制器图形表示工具(GRAFCET)[M].北京:机械工业出版社.1995:211-222.
    [36]于之虹,郭志忠.基于数据挖掘理论的电力系统暂态稳定评估[J].电力系统自动化,2004.4:34-35.
    [37]黄解军,潘和平,万幼川.数据挖掘的体系框架研究[J].计算机应用研究,2003.5:22-24.
    [38]李子木,莫倩,周兴铭.数据仓库技术的研究现状及未来方向[J].计算机科学, 1998.4:12-13.
    [39]李敏强,潘振江,寇纪凇.基于数据仓库技术的决策支持系统的研究与应用[J].系统工程理论与实践, 1998(3):34-35.
    [40]杨雪南,李德毅.关系数据库中的模糊知识发现[M].软件学报, 1995, 6(1) :43-45.
    [41]陈栋,徐洁磐. Knight:一个通用知识挖掘工具[J].计算机研究与发展, 1998, 35(4) :25-26 .
    [42] W ojciech Ziarko. Introduction to the Special Issue on Rough Sets and Knowledge Discovery [J]. Computational Intelligence, 1995, 11(2): 223-226.
    [43]邸凯昌.空间数据发掘和知识发现的理论和方法[D].武汉博士论文,武汉测绘科技大学, 1999:67-79.
    [44] Mark D.Sportack等.计算机连网技术大全[M].北京:机械工业出版社,1998(11) :111-132.
    [45]宋伟等. Intranet实用技术大全[M].北京:清华大学出版社,2002(3) :43-53.
    [46] Dan Wesley、Judith Wesley. Intranet开发奥秘[M].北京:电了工业出版社,1999(2) :101-121.
    [47]廖彬山等.Web数据库开发技术[M].北京:清华大学出版社,2001(3) :23-32.
    [48]李劲. Windows 2000 Server企业架站手册[M].北京:中国青年出版社,2001(1) :76-87.
    [49] CLIFFORD A.SHAFFER.数据结构与算法分析[M].北京:电子工业出版社. 2002(7) :132-145.
    [50]郑启心.软件工程方法[M].北京:北京科学出版社. 1993(5) :108-124.
    [51]张海藩.软件工程方法[M].北京:北京清华大学出版社. 1997:221-223.