The Design And Realization Of Quality Check System For City Pipeline Network Spatial Data

The article takes the city pipeline network spatial data as the general researchingobject. Based on abundant studies of the spatial data criterion, the article discusses thetechnology and method of quality control and takes evaluation theory into practice,according to the segments of data quality element and the characteristics of datamodel. The main contents are as following:1) Elaborate the research background and the significance of both the quality ofthe city pipeline network spatial data and the development of the evaluation. Analyzethe currently facing problems and the purpose, significance, as well as the problemswhich need to be solved.2) Research the model of data quality of city pipeline network spatial data.Based on the analysis of spatial data’s error and Expressive Form, combine with thepractical data production, plot out the complicated spatial data quality element to bedatasets completeness, positional accuracy, graphic quality, attribute accuracy, logicalconsistency, accessory quality.3) Analyze the examination of the space data quality and the measurements,rules, and models of the evaluation. Through the discussion of the data disciplinarian,and on the base of the above systems, educe the efficient model and provide thepractical reference to the software realization.4) Form a suit of the rule warehouse of the data quality examination, based onthe rules warehouse’s examination of the space data quality and the evaluation of thesoftware design. On the base of the parameter’s configuration, it would get the varioustypes of the scenario for the data quality examination. And take the city pipelinenetwork spatial data of Jiayuguan City in Gansu province as an example, it carries onthe analysis, summarizes the features and shortcomings of the system.The article analyzes and elaborates the city pipeline network spatial data qualitycheck on the future direction，finding out that the further research of the futuredirection is data uncertainty, data visualization of uncertainty.