Application Of FME Data Conversion Platform In Geographic Conditions Census Database Construction

The geographical conditions census results database is an important content of the geographical conditions monitoring. It’s the premise of the census result data for integrated management, statistical analysis, application services. It is to provide a background database and application service platform for the future to carry out normal monitoring Census geography. Compared with the traditional basic geographic database, Geographic National Census database inthe technical requirements and standards are greatly improved. To meet the characteristics and needs of the national census database construction and more efficient, accurate, rapid completion of the database construction, using FME to build templates, Optimization of construction technology process, explores and ponders this emphasis and difficulty that the structure of complex, large amount of data and multiple data sources encountered in the process of building.The national census geography database theory and technology analysis, according to geographical conditions data source in-depth analysis, database technology route optimization. The key technical problems encountered in the construction process were studied, including by using FME build template, data automatic batch fusion and cutting, Administrative region surface automatic extraction of administrative boundary line, Automatic extraction of road network data nodes, obstacles. Rapid detection the problems of the suspension and isolation in network of rivers and pattern of road distribution. Finally, through to Qingyuan district as an example, in the production practice proof, using the FME to build a template, greatly improves the efficiency of processing conditions of large data, verify the feasibility of the FME. In view of the data problem in the production of national conditions prophase, the control method of data quality inspection is put forward. Data from the national conditions, sample data, metadata, and other aspects of the data topology and attributes of the content of the quality analysis, so that the quality and precision of the data are improved obviously.