不动产统一登记数据同步更新方法研究

发布时间：2018-04-17 03:30

本文选题：不动产统一登记 + 增量提取　；参考：《南京师范大学》2017年硕士论文

【摘要】：我国的不动产统一登记制度具有明显的“属地登记”特征,随着不动产统一登记信息化建设的推进,各地方的不动产统一登记数据逐渐积累,但各地部门横向之间和上下级纵向之间的不动产登记信息共享困难。为了消除“信息孤岛”,实现不动产登记信息跨部门和多级别的互通共享,国家、省级需要建立一个中心数据库来集中管理辖区的数据。尽管各地区已完成了本地不动产统一登记的信息化基础工作,但由于技术和人为因素以及各地管理需求的差异导致了各地信息管理系统所采用的数据库和GIS平台不同,同时数据库结构设计和表达内容迥异。因此,在异构环境下,研究不动产统一登记增量数据统一表达及其同步方法具有重要意义,不动产统一登记数据的同步更新是实现该目标的关键。本文从县级层面出发,首先通过对不动产统一登记权利体系的梳理,将数据分为权籍数据和权利登记数据并总结其数据更新的特点。其次,分别对权籍数据与权利登记数据提出不同的增量提取方法,对于权籍数据,通过分析不动产对象的时空变化过程,建立了不动产单元生命周期模型,并提出基于拓扑属性联动的增量提取方法;对于权利登记数据,则在总结归纳现有方式和变化数据捕捉方法的优缺的基础上,结合不动产统一登记的数据模型,提出了基于触发器和项目变更控制表的变化捕捉方法,并对触发器进行了改进和优化。接着归纳了现有同步模式,总结出不动产统一登记数据同步的特点,构建了基于XML的数据同步体系,并分别对其核心XML文件的建立方法进行研究,具体包括在数据同步过程中源数据库与目标数据库的结构映射过程、转换映射过程及增量数据入库时的XML解析,并给出了增量数据入库的具体算法;最后,设计了数据同步系统原型,并使用海门市的不动产统一登记数据进行了验证,实验证明以上增量数据提取方法与数据同步体系是有效的。具体的研究内容与研究成果如下:(1)明确不动产单元的概念和类型,并构建基于不动产单元的权利体系,由不动产权利体系所决定将不动产统一登记数据分为权籍数据和权利登记数据,并分别总结了其各自的特点。(2)分别针对权籍数据和权利登记数据设计了变化数据的捕捉、提取方法。针对权籍数据,通过对不动产对象变化过程进行分析,建立了不动产单元生命周期模型,在此基础上提出了基于拓扑属性联动规则的增量提取方法;针对权利登记数据,提出基于触发器和项目变更控制表的属性数据变化捕捉方法,并对触发器算法进行优化处理。(3)以县、地市到省级的同步更新为例,分析了不动产统一登记所采用的数据同步模式和同步的特点并建立数据同步体系,同时设计了空间增量变化数据更新入库的详细算法,最后通过同步系统原型的设计,验证本文同步方法的可行性。
[Abstract]:The unified registration system of real estate in our country has obvious characteristics of "territorial registration". With the development of information construction of unified registration of real estate, the data of unified registration of real estate in various places are gradually accumulated.However, it is difficult to share real estate registration information between local departments horizontally and vertically.In order to eliminate the "information isolated island" and realize the inter-departmental and multi-level exchange and sharing of real estate registration information, it is necessary for the state and provincial level to establish a central database to centrally manage the data of the jurisdiction.Although the information foundation for unified registration of local real estate has been completed in various regions, due to technical and human factors and differences in local management requirements, the databases and GIS platforms used in local information management systems are different.At the same time, the database structure design and express content is very different.Therefore, it is of great significance to study the uniform representation and synchronization method of real estate uniform registration increment data in heterogeneous environment. The key to achieve this goal is to synchronize the real estate registration data.This paper starts from the county level, through combing the real estate unified registration right system, divides the data into the right register data and the right registration data, and summarizes the characteristics of its data updating.Secondly, different incremental extraction methods are put forward for the data of right register and right registration. For the data of right register, the life cycle model of real estate unit is established by analyzing the process of temporal and spatial change of real estate object.An incremental extraction method based on the linkage of topological attributes is put forward. For the data of right registration, on the basis of summing up the advantages and disadvantages of the existing methods and the methods of capturing the changing data, the paper combines the data model of unified registration of real estate.A change capture method based on trigger and item change control table is proposed, and the trigger is improved and optimized.Then it summarizes the existing synchronization mode, summarizes the characteristics of real estate unified registration data synchronization, constructs the data synchronization system based on XML, and studies the method of establishing its core XML file.It includes the structural mapping process of the source database and the target database in the process of data synchronization, the XML analysis of the transformation mapping process and the incremental data input, and gives the specific algorithm of the incremental data input.The prototype of the data synchronization system is designed and verified by using the real estate registration data of Haimen City. The experiments show that the above incremental data extraction method and the data synchronization system are effective.The specific research contents and results are as follows: 1) defining the concept and types of real estate units, and constructing a system of rights based on real estate units.According to the system of real estate rights, the unified registration data of real estate can be divided into right register data and right registration data, and their respective characteristics are summarized respectively.Extraction method.Based on the analysis of the process of real estate object change, the life cycle model of real estate unit is established, based on which the incremental extraction method based on topological attribute linkage rule is proposed, and the right registration data is analyzed.Based on trigger and item change control table, the change capture method of attribute data is put forward, and the trigger algorithm is optimized. The example is the synchronous updating of county, prefecture and city to provincial level.This paper analyzes the data synchronization mode and characteristics of real estate unified registration and establishes a data synchronization system. At the same time, a detailed algorithm for updating spatial incremental data into the database is designed. Finally, the prototype of the synchronization system is designed.The feasibility of the synchronization method is verified.
【学位授予单位】：南京师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P208

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