个性化服务及其在物流平台中的应用
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摘要
目前,我国汽车消费约占全球汽车消费总量的7.5%,已经成为世界第二大汽车消费国和第四大汽车生产国。2006年,我国汽车工业总产值和销售收入均超过1万亿元,物流成本的降低能显著提高汽车产业纯利润。因此可以预测:不久的将来,随着我国经济的全面发展,我国的滚装运输及其滚装船市场必将会出现一个新的发展局面。现阶段我国汽车滚装码头处于刚起步阶段,从整体上来看,汽车滚装码头信息化程度非常低。港口要发展,必须提高港口处理的核心竞争力,必须针对自身现状特点,提升自身技术内涵,提高港口的自动化、信息化和智能化水平。因此如何改进滚装码头信息管理质量,实现可视化管理,了解滚装码头的作业规律,具有十分重要的工程和实际价值。本论文以实现港口码头信息智能化管理为目的,将物流信息系统引入到码头作业中来,旨在实现码头信息的可跟踪溯源、自动化、信息化管理,在历史数据的支持下,对码头作业数据进行OLAP(On-Line Analytical Processing)分析及以多维的方式来组织和显示数据,使最终用户能从多个角度、多维度的观察数据库中的数据,从而深入地了解包含在数据中的信息、内涵,并对历史数据进行挖掘,找到船在滚装码头的操作时间规律和在港时间规律,方便滚装码头针对不同类型的船采取不同的措施来减少船的操作时间和在港时间。最后,个性化的页面方便用户根据自己的喜好订制自己感兴趣的内容,实现个性化管理。
论文的主要内容和创新点如下:
(1)构建了汽车滚装码头信息系统管理平台。
(2)对汽车滚装码头作业数据进行OLAP及可视化分析。
(3)对滚装码头作业数据进行数据挖掘,找到船在滚装码头的操作时间规律和在港时间规律,为不同类型的船提供个性化服务。
(4)实现了个性化的前台界面,方便用户订制自己感兴趣的页面。
At present, the global auto consumption in China accounts for about 7.5% of that of the globle, which has become the world's second largest auto consumer and the fourth largest car producer.China's automobile industry output value and sales Revenue have exceeded more than one trillion yuan in 2006, which means there are profit increase for the decrease in logistics cost As a result, it can be predicted that in the foreseeable future,there will be a new development of RoRo transportation and RoRo vessel as an all-round economic development and the rectifying of shipping market in China. As a result the way of improving the operation efficiency, realizing the Visualization Management and finding out the operation rule of RoRo terminal are of great practical and engineering value. The operations management of port RoRo terminal is a complemented task. Taking the improvement of operation management efficiency of port terminal, the thesis introduce the logistical information system to the terminal operation and aims to realize the tailing and tracing and automatization and management of information.Analyzing of terminal operation data by OLAP , organizing and displaying the data in multidimensional way , which are supported by history data ,the logistical information system enables the end user to observe the data in database in different perspective and different side, and to understand the information and knowledge in the data deeply. The system can also mine the history data, then find the rule of vessel' operation time in terminal and this is useful for the terminal to take different measure to reduce the time of operation and stopping according to the types of the vessel. Finally, personalized interface enable the users to customize the information based on their own interests to realize the personalized management.
(1) Constructed an operation information systems platform of automobile RoRo terminal.
(2) Visualizing analysis of operation data by OLAP of RoRo terminal.
(3) Mining the data of analyzed operation data in RoRo terminal, then finding the rule of vessel's operation time in the terminal to provide personalized service for different kind of vessel.
(4) Realize the personalized platform for users to customize information according to own interests.
论文的主要内容和创新点如下:
(1)构建了汽车滚装码头信息系统管理平台。
(2)对汽车滚装码头作业数据进行OLAP及可视化分析。
(3)对滚装码头作业数据进行数据挖掘,找到船在滚装码头的操作时间规律和在港时间规律,为不同类型的船提供个性化服务。
(4)实现了个性化的前台界面,方便用户订制自己感兴趣的页面。
At present, the global auto consumption in China accounts for about 7.5% of that of the globle, which has become the world's second largest auto consumer and the fourth largest car producer.China's automobile industry output value and sales Revenue have exceeded more than one trillion yuan in 2006, which means there are profit increase for the decrease in logistics cost As a result, it can be predicted that in the foreseeable future,there will be a new development of RoRo transportation and RoRo vessel as an all-round economic development and the rectifying of shipping market in China. As a result the way of improving the operation efficiency, realizing the Visualization Management and finding out the operation rule of RoRo terminal are of great practical and engineering value. The operations management of port RoRo terminal is a complemented task. Taking the improvement of operation management efficiency of port terminal, the thesis introduce the logistical information system to the terminal operation and aims to realize the tailing and tracing and automatization and management of information.Analyzing of terminal operation data by OLAP , organizing and displaying the data in multidimensional way , which are supported by history data ,the logistical information system enables the end user to observe the data in database in different perspective and different side, and to understand the information and knowledge in the data deeply. The system can also mine the history data, then find the rule of vessel' operation time in terminal and this is useful for the terminal to take different measure to reduce the time of operation and stopping according to the types of the vessel. Finally, personalized interface enable the users to customize the information based on their own interests to realize the personalized management.
(1) Constructed an operation information systems platform of automobile RoRo terminal.
(2) Visualizing analysis of operation data by OLAP of RoRo terminal.
(3) Mining the data of analyzed operation data in RoRo terminal, then finding the rule of vessel's operation time in the terminal to provide personalized service for different kind of vessel.
(4) Realize the personalized platform for users to customize information according to own interests.
引文
[1]詹利.我国汽车滚装物流发展的重点综合运输2008,04:36-38
[2]李敏.打造数字化港口创建世界一流大港.港航研究2007,12:37-38
[3]曾祥联.重庆滚装船运输发展研究:[硕士学位论文].重庆:重庆交通大学,2008
[4]包启帆.港口数字化智能化体系建设研究.港口科技2006,11
[5]高存志.集装箱码头信息系统研制及产品化:[硕士学位论文]重庆:重庆大学,2007
[6]杨承新.港口物流中的现代信息技术.中国水运物流天地2006.05:19-21
[7]王利伟.基于图书馆日志的数据挖掘研究:[硕士学位论文].上海:华东师范大学,2007
[8]W.C.Chung,h.lau.develoPment of an Architecture for a Hybridmanufacturing Information System.Engineering With Computers.2000(16):1-9
[9]郝刚,袁永刚.ASP.NET服务器控件开发技术与实例.北京:人民邮电出版社,2005
[10]K.W.M.Van Vuren.A www-Based Information Management System for Rapid and Integrated Mould Product Development.The Intemet Joumal of Advanced Manufacturing Technology.2002(20):50-57
[11]祁宇.基于WEB的MES中产品跟踪的研究与实现:[硕士学位论文].武汉:武汉理工大学,2008
[12]唐伟.基于.NET的管理信息系统设计及开发技术研究:[硕士学位论文].南京:东南大学,2005
[13]樊建.ASP.NET十ADO.NET项目开发实例.北京:清华大学出版社,2004.34-37
[14]许治.基于ASPNET的办公自动化系统的研究与实现:[硕士学位论文].武汉:武汉理工大学计算机技术应用,2006
[15]陈元,陈文伟.OLAP的多维数据分析.计算机世界总第786期,51-52
[16]U.Chaudhuri,U.Dayal.Datawarehousing and OLAP for decision support ACM SIGMOD Record,26(2):Pages 507-508,1997
[17]《http://newhappy.blog.51cto.com/381292/77050》
[18]FengYu,WangShan.ComPressed data Cube for approximate OLAP query Processing,Joumal of Computer Science and Technology,17(5),Pages 625-635,2002
[19]HelenHasan,PeterHyland.Using OLAP and multidimensional data for decision making.ITProfessional,3(5):Pages 44-50,2001
[20]MJensen,TMoller,TBaehPedersen.Specifying OLAP Cubes on XML Data.Joumal of Inelligent Information Systems.2001,17(2):Pages 244-280
[21]李勇,徐振宁,张维明.Internet个性化信息服务研究综述计算机工程与应用2002(19),23-26
[22]GMaus.Real-time Data Warehousing and Data Mining for E-Commerce,hit:ids.csom.umn.edu/faculty/wanninger/lectures/DataMining-6204Sp00.html.
[23]A.Tsois,MAC.Conceptual data modeling for OLAP,In Proc.DMDW Interlaken,Switzerland,2001.
[24]ChrisRygiclski,Cheng Wang,David C Yen.Data mining techniques for customer Relationship management.Teehnology in society,2002,24-45
[25]RiehardJ.Roiger,MiehaelWGeatZ.DataMining-ATutorial-Based Primer.Tsinghua UniversityPress.2003,5-18
[26]吴晓渊,孟兆炜.数据挖掘技术在客户关系管理系统中的应用.广西科学院学报.2003.11(4).255-259
[27]江放,李海刚,高国安.基于数据仓库的数据采掘及其在决策支持系统中的应用.现代计算机1999年1月总第70期
[28]萨师煊,王珊.数据库系统概论第三版.北京:高等教育出版社,2002.
[29]Hou,Y.;Lin,S.;Lv,Y.;Ouyang,H..A study and development of PDM system based on visual studio.NET.Proceedings of the Fourth International Conference on e-Engineering and Digital Enterprise Technology,Leeds,United Kingdom,Sep 1-3 2004,238-240
[30]王伟.数据库设计.北京:高等教育出版社,2003.
[31]张佳明.基于数据仓库体系结构的olap和数据挖掘技术的应用与研究:[硕士学位论文].吉林:吉林大学,2008
[32]陈文伟.数据仓库与数据挖掘清华大学出版社,2006.48-50
[33]李勇.基于olap系统的设计与实现:[硕士学位论文].山东:山东大学,2008
[34]张波.基于实例的OLAM技术及其多维可视化研究:[硕士学位论文].武汉:武汉理工大学,2008
[35]Shanmugasundaram J,Compressed data cubes for OLAP aggregate query approximation on continuous dimensions,Management of Data[C],San Deigo,Californai:In Proc.ACM SIGMOD Int.Conf,1999,223-232
[36]ZhangWeimi,D.s.Theory and application of datawarehouse[M].Peking:Publishing House of electronies industry,2002.56-102
[37]李璇.数据仓库OLAP系统的编程设计与实现:[硕士学位论文].北京:华北电力大学,2007
[38]张淼.基于OLAP技术的产险业务分析系统:[硕士学位论文].青岛:中国海洋大学
[39]LoukoPoulos,T.Ahmad,I.policies for Caching OLAP Queries in Internet Proxies.Digital object Identifier 10.1109/PDS.2006.143Volume 17.Issue 10.OCT.2006
[40]Wenke Lee,Sal Stolfo,Kui Mok,A Data Mining Framework for Building Intruction Detection Models.IEEE Symposium on Security and Privacy,1999.
[41]Schultz M.G,Eskin E,Zadok,F etc,Data mining methods for detection of new malicious executables,Security and Privacy,2001.S&P 2001.Proceedings.2001 IEEE Symposium on,14-16 May 2001,pages 38-49
[42]J-P.BarthelemyandB.Lee.The median Procedure for Partition,in Partitioning DataSets,I.J.Coxetaleds.,AMS DIMACS Series in Diserte Mathematies,1995:3-34
[43]D.J.Bartholomew and M.Knott.Latentvariable models and factor analysis,Znded,Kendall's Library of Statisties 7.London:Amold,1999
[44]Microsoft Corporation.Microsoft SQL Server2005联机丛书
[45]黄良斌.个性化界面定制方法的研究与实现:[硕士学位论文].兰州:兰州大学,2007
[46]王志国.基于WebSeryiees的个性化界面定制平台的开发与设计:[硕士学位论文].西安:西安理工大学,2007
[47]毕萤.个性化RSS新闻检索系统设计与实现:[硕士学位论文].哈尔滨工业大学:哈尔滨工业大学,2007
[2]李敏.打造数字化港口创建世界一流大港.港航研究2007,12:37-38
[3]曾祥联.重庆滚装船运输发展研究:[硕士学位论文].重庆:重庆交通大学,2008
[4]包启帆.港口数字化智能化体系建设研究.港口科技2006,11
[5]高存志.集装箱码头信息系统研制及产品化:[硕士学位论文]重庆:重庆大学,2007
[6]杨承新.港口物流中的现代信息技术.中国水运物流天地2006.05:19-21
[7]王利伟.基于图书馆日志的数据挖掘研究:[硕士学位论文].上海:华东师范大学,2007
[8]W.C.Chung,h.lau.develoPment of an Architecture for a Hybridmanufacturing Information System.Engineering With Computers.2000(16):1-9
[9]郝刚,袁永刚.ASP.NET服务器控件开发技术与实例.北京:人民邮电出版社,2005
[10]K.W.M.Van Vuren.A www-Based Information Management System for Rapid and Integrated Mould Product Development.The Intemet Joumal of Advanced Manufacturing Technology.2002(20):50-57
[11]祁宇.基于WEB的MES中产品跟踪的研究与实现:[硕士学位论文].武汉:武汉理工大学,2008
[12]唐伟.基于.NET的管理信息系统设计及开发技术研究:[硕士学位论文].南京:东南大学,2005
[13]樊建.ASP.NET十ADO.NET项目开发实例.北京:清华大学出版社,2004.34-37
[14]许治.基于ASPNET的办公自动化系统的研究与实现:[硕士学位论文].武汉:武汉理工大学计算机技术应用,2006
[15]陈元,陈文伟.OLAP的多维数据分析.计算机世界总第786期,51-52
[16]U.Chaudhuri,U.Dayal.Datawarehousing and OLAP for decision support ACM SIGMOD Record,26(2):Pages 507-508,1997
[17]《http://newhappy.blog.51cto.com/381292/77050》
[18]FengYu,WangShan.ComPressed data Cube for approximate OLAP query Processing,Joumal of Computer Science and Technology,17(5),Pages 625-635,2002
[19]HelenHasan,PeterHyland.Using OLAP and multidimensional data for decision making.ITProfessional,3(5):Pages 44-50,2001
[20]MJensen,TMoller,TBaehPedersen.Specifying OLAP Cubes on XML Data.Joumal of Inelligent Information Systems.2001,17(2):Pages 244-280
[21]李勇,徐振宁,张维明.Internet个性化信息服务研究综述计算机工程与应用2002(19),23-26
[22]GMaus.Real-time Data Warehousing and Data Mining for E-Commerce,hit:ids.csom.umn.edu/faculty/wanninger/lectures/DataMining-6204Sp00.html.
[23]A.Tsois,MAC.Conceptual data modeling for OLAP,In Proc.DMDW Interlaken,Switzerland,2001.
[24]ChrisRygiclski,Cheng Wang,David C Yen.Data mining techniques for customer Relationship management.Teehnology in society,2002,24-45
[25]RiehardJ.Roiger,MiehaelWGeatZ.DataMining-ATutorial-Based Primer.Tsinghua UniversityPress.2003,5-18
[26]吴晓渊,孟兆炜.数据挖掘技术在客户关系管理系统中的应用.广西科学院学报.2003.11(4).255-259
[27]江放,李海刚,高国安.基于数据仓库的数据采掘及其在决策支持系统中的应用.现代计算机1999年1月总第70期
[28]萨师煊,王珊.数据库系统概论第三版.北京:高等教育出版社,2002.
[29]Hou,Y.;Lin,S.;Lv,Y.;Ouyang,H..A study and development of PDM system based on visual studio.NET.Proceedings of the Fourth International Conference on e-Engineering and Digital Enterprise Technology,Leeds,United Kingdom,Sep 1-3 2004,238-240
[30]王伟.数据库设计.北京:高等教育出版社,2003.
[31]张佳明.基于数据仓库体系结构的olap和数据挖掘技术的应用与研究:[硕士学位论文].吉林:吉林大学,2008
[32]陈文伟.数据仓库与数据挖掘清华大学出版社,2006.48-50
[33]李勇.基于olap系统的设计与实现:[硕士学位论文].山东:山东大学,2008
[34]张波.基于实例的OLAM技术及其多维可视化研究:[硕士学位论文].武汉:武汉理工大学,2008
[35]Shanmugasundaram J,Compressed data cubes for OLAP aggregate query approximation on continuous dimensions,Management of Data[C],San Deigo,Californai:In Proc.ACM SIGMOD Int.Conf,1999,223-232
[36]ZhangWeimi,D.s.Theory and application of datawarehouse[M].Peking:Publishing House of electronies industry,2002.56-102
[37]李璇.数据仓库OLAP系统的编程设计与实现:[硕士学位论文].北京:华北电力大学,2007
[38]张淼.基于OLAP技术的产险业务分析系统:[硕士学位论文].青岛:中国海洋大学
[39]LoukoPoulos,T.Ahmad,I.policies for Caching OLAP Queries in Internet Proxies.Digital object Identifier 10.1109/PDS.2006.143Volume 17.Issue 10.OCT.2006
[40]Wenke Lee,Sal Stolfo,Kui Mok,A Data Mining Framework for Building Intruction Detection Models.IEEE Symposium on Security and Privacy,1999.
[41]Schultz M.G,Eskin E,Zadok,F etc,Data mining methods for detection of new malicious executables,Security and Privacy,2001.S&P 2001.Proceedings.2001 IEEE Symposium on,14-16 May 2001,pages 38-49
[42]J-P.BarthelemyandB.Lee.The median Procedure for Partition,in Partitioning DataSets,I.J.Coxetaleds.,AMS DIMACS Series in Diserte Mathematies,1995:3-34
[43]D.J.Bartholomew and M.Knott.Latentvariable models and factor analysis,Znded,Kendall's Library of Statisties 7.London:Amold,1999
[44]Microsoft Corporation.Microsoft SQL Server2005联机丛书
[45]黄良斌.个性化界面定制方法的研究与实现:[硕士学位论文].兰州:兰州大学,2007
[46]王志国.基于WebSeryiees的个性化界面定制平台的开发与设计:[硕士学位论文].西安:西安理工大学,2007
[47]毕萤.个性化RSS新闻检索系统设计与实现:[硕士学位论文].哈尔滨工业大学:哈尔滨工业大学,2007