Pipeline data calibration for the construction of three-dimensional underground pipeline system

Zhiling Han; Kuanshuang Zhang; Yudan Wang; Tingwei Fei; Yongwei Xu; Zhicheng Wu

doi:10.1117/12.3026341

27 March 2024 Pipeline data calibration for the construction of three-dimensional underground pipeline system

Zhiling Han, Kuanshuang Zhang, Yudan Wang, Tingwei Fei, Yongwei Xu, Zhicheng Wu

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131054M (2024) https://doi.org/10.1117/12.3026341
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

To solve the problem that manual calibration is time-consuming and laborious when some nodes of pipeline data are not marked, this paper proposes an intelligent calibration method of pipeline segment and pipeline point data based on the "node-edge" relationship of the network. Combining with ArcGIS, Python and other tools, it employs the broken line at the cross point and the break point to intelligently generate important unmarked nodes in the original network, which can avoid manual inspection of pipeline segment by segment, diagnose and correct the error data in the original data during marking the starting and ending points of the pipeline. A project case study is employed to verify the efficiency and feasibility of the method, in which the processed pipeline data provides basic data support for the two-dimensional (2D) and three-dimensional(3D) modeling and system construction of the pipeline, improves the accuracy of data processing and the efficiency of the pipeline data calibration.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhiling Han, Kuanshuang Zhang, Yudan Wang, Tingwei Fei, Yongwei Xu, and Zhicheng Wu "Pipeline data calibration for the construction of three-dimensional underground pipeline system", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131054M (27 March 2024); https://doi.org/10.1117/12.3026341

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KEYWORDS

Pipes

Calibration

Data modeling

3D modeling

Data processing

Geographic information systems

Analytical research

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