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Proceedings Paper

Development of the updated system of city underground pipelines based on Visual Studio
Author(s): Jianxiong Zhang; Yun Zhu; Xiangdong Li
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Paper Abstract

Our city has owned the integrated pipeline network management system with ArcGIS Engine 9.1 as the bottom development platform and with Oracle9i as basic database for storaging data. In this system, ArcGIS SDE9.1 is applied as the spatial data engine, and the system was a synthetic management software developed with Visual Studio visualization procedures development tools. As the pipeline update function of the system has the phenomenon of slower update and even sometimes the data lost, to ensure the underground pipeline data can real-time be updated conveniently and frequently, and the actuality and integrity of the underground pipeline data, we have increased a new update module in the system developed and researched by ourselves. The module has the powerful data update function, and can realize the function of inputting and outputting and rapid update volume of data. The new developed module adopts Visual Studio visualization procedures development tools, and uses access as the basic database to storage data. We can edit the graphics in AutoCAD software, and realize the database update using link between the graphics and the system. Practice shows that the update module has good compatibility with the original system, reliable and high update efficient of the database.

Paper Details

Date Published: 10 November 2008
PDF: 9 pages
Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 714604 (10 November 2008); doi: 10.1117/12.813094
Show Author Affiliations
Jianxiong Zhang, Henan Polytechnic Univ. (China)
Yun Zhu, Henan Polytechnic Univ. (China)
Xiangdong Li, Henan Polytechnic Univ. (China)
Zhongwei Surveying and Planning Information Engineering Co. Ltd. (China)

Published in SPIE Proceedings Vol. 7146:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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