Design and implementation of urban underground pipeline information system

Changhao Zhang; Ming Huang

doi:10.1117/12.2667290

10 February 2023 Design and implementation of urban underground pipeline information system

Changhao Zhang, Ming Huang

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 1255235 (2023) https://doi.org/10.1117/12.2667290
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

With the rapid change of the urban landscape, the construction of the underground cable network, as the "lifeline" of the city, is also being continuously promoted, twenty-four hours a day, to ensure the operation and development of the city. However, due to the complexity of urban underground cable laying, the previous management methods based on two-dimensional data are not only inefficient and complex, but also need to be improved in accuracy. In order to solve this problem, this paper adopts the design concept of "two-dimensional integration," aims at intelligent and information-based urban cable system, applies geographic information technology to urban underground pipelines, and studies the key technologies of urban underground cable and pipeline intelligent management system. The system realizes the transformation of urban underground pipeline from original point cloud to three-dimensional model, and establishes the spatial relationship between various elements of the underground pipeline, which facilitates the information management of urban underground pipeline. It provides an intuitive and intelligent management platform for the management of urban underground cable network. It is the application of geographic information technology in urban underground pipelines and has certain value.

Citation Download Citation

Changhao Zhang and Ming Huang "Design and implementation of urban underground pipeline information system", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 1255235 (10 February 2023); https://doi.org/10.1117/12.2667290

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