轨道交通工程资料管理系统实现与其文本信息数据挖掘

目前我国进入城市轨道交通建设高峰期,仅北京2009年就有6条地铁项目开工或即将开工,加上在建的5条线路,总数达到11条。轨道交通工程资料管理是轨道交通建设的重要环节,是对单位工程竣工备案的重要档案材料,全面反映了轨道工程质量和验收情况,是反映工程状况的重要文件。目前使用的资料管理系统虽然可以勉强对付常规工程资料管理,但是由于长期以来没有规范化的统一编码,也没有用计算机管理的思想解决组卷不足,资料管理人员只能靠手工完成,效率低、准确性差、无法很好地实现计算、检索、存储与管理。因此迫切需要一套合适的软件来解决资料的编码和组卷,本文为解决这个不足进行了详细的浅析浅析并设计了解决方案。本文首先介绍了我国轨道交通工程资料管理的近况,经过现场调研,浅析浅析资料管理流程,根据计算机编码的原则,通过对所有轨道交通建设工程资料分类、制定编号,有效解决了组卷和编码的需求不足;为满足轨道交通管理系统涉及的施工、监理资料的可重用性,系统采用了映射的解决方案,引入树状目录,减少了大量资料的重复性,降低了系统对内存的要求,提高了系统的可操作性和读写速度。其次,本文结合现场资料管理流程及软件工程的原理,通过需求浅析浅析、系统浅析浅析、整体设计、系统评价等采用面向对象的软件开发策略设计并开发出一套轨道交通工程资料管理系统。在该系统中,通过对工程信息管理、表页管理、组卷管理及系统备份等各项功能的设计开发,弥补了以往工程资料管理系统中的不足。通过在几个试验点的测试结果表明,本系统基本满足了轨道交通工程施工中一线资料管理人员的需求。本文还应用数据挖掘理论对城市轨道交通建设施工资料数据进行了理论浅析浅析,由于工程质量一旦发生不足将对城市的社会、环境、交通和经济产生巨大负面影响,所以对施工数据进行及时的理论浅析浅析是和工程施工建设的进行密不可分的。最后本文结合具体实例,对2007年北京地铁四号线工程西单站标段1740米实际的施工检测数据及半结构化数据采用聚类的策略进行数据浅析浅析,首先采用文本挖掘思想通过轨道交通工程资料管理系统提取出与施工质量有关的施工数据,然后使用数据挖掘策略对提取的数据预处理、属性约简、采用系统最短距离算法浅析浅析检查对象的施工质量,最后计算出等级信息。

【Abstract】wWw.shuoshilunwen.com Today, China is entering into a booming era of rail transportation construction. Take Beijing for example: there are 6 subway programs to be under construction in 2009; combined with those 5 programs right in construction, there will be 11 in all. Rail transportation project data management is an important part in rail transportation construction as well as important files for the construction organization in charge. These data fully reflects information about the quality and checking process of rail project programs, as a result they are attached with vital importance. However, since there are no standard and unified computerized codes and the idea of computerizing has not been employed in solving the problem of how to code Documents and Volume them, data management can only be done by person handedly. This brings many problems, such as low efficiency, weak accuracy, which prevent us from calculating, searching, storing and managing these data well. As a result, proper software is in need to solve the problem of coding and volume. We analyze this problem in this thesis in detail and provide solutions to it.Firstly, we introduced the present situation in China’s rail transportation project data management. We did some on-field research, evaluated the process of data management, categorized and numbered different rail transportation project data according to computerizing codes, and finally met the need of volume and coding. In addition to this, to improve the efficiency of data using, we introduced tree-style catalog, reduced the work of data repeating and the need of EMS memory, and the maneuverability and read-write speed of the whole system is greatly improved.Secondly, this thesis combined the principle of on-field data management process and software projects, designed and explored a rail transportation data management system, by using the technique of target-oriented software development methods such as demand analysis, system analysis, overall design and system evaluation. In this new system, we solved some shorts that existed in former data management system by designing some functions such as project data management, volume management and system storage. Also we did experiments in several pilot locations, and the results showed that the system could meet the basic needs of front staff in rail transportation projects construction.In addition to the above things, this thesis also provided theoretical analysis to rail transportation projects construction data. Since quality problems of the project in construction can bring tremendous negative influences for the society, environment, transportation and economy for cities, so in-time analysis of under-construction data is closely related with the operation of a project. In the end, this thesis ge data evaluation to Beijing Subway, Line 4, Xidan station. The idea of data mining was employed. Relevant data involved in construction was abstracted, and then these information was pre-treated and attribute is curtailed, and the information about the quality of construction and classification information is finished by using the Clustering algorithm system finally.

【关键词】 资料管理;轨道交通;数据挖掘;系统聚类;编码原则;
【Key words】 Data management;Rail transportation;Data mining;Clustering algorithm system;Principle of coding;

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