Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)

Ontology Construction and Intelligent Generation of Mechanized Construction Plans for Power Grid Projects

Authors
Xiaohui Gao1, *, Yinling Li1, Ruiwu Wang1, Xueqing Ding2
1State Grid Jiangsu Electric Power Co., Ltd., Economic Research Institute, Nanjing, 210000, China
2State Grid Jiangsu Electric Power Design Consulting Co., Ltd., Nanjing, 210000, China
*Corresponding author. Email: 1057434877@qq.com
Corresponding Author
Xiaohui Gao
Available Online 3 March 2025.
DOI
10.2991/978-94-6463-658-1_24How to use a DOI?
Keywords
Mechanized Construction; Ontology Model; SPARQL Query Language; Intelligent Infrastructure Construction
Abstract

In the field of power infrastructure construction, the comprehensive adoption of mechanized construction has become an inevitable trend in industry development. However, traditional mechanized construction plans, which heavily rely on human resources and expert knowledge, face challenges in improving construction efficiency. To address this issue, this paper proposes an intelligent generation system for mechanized construction plans based on an ontology model combined with SPARQL query language, aiming to reduce dependence on human resources and enhance the utilization efficiency of mechanical equipment. To validate the effectiveness of the system, an application case study was conducted using overhead transmission lines as an example. The study results demonstrate that the system achieves high accuracy, significantly improves the design efficiency of mechanized construction schemes, and showcases the potential of knowledge-driven systems in optimizing construction plans. This provides strong support for a standardized pathway toward intelligent infrastructure construction.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)
Series
Advances in Engineering Research
Publication Date
3 March 2025
ISBN
978-94-6463-658-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-658-1_24How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xiaohui Gao
AU  - Yinling Li
AU  - Ruiwu Wang
AU  - Xueqing Ding
PY  - 2025
DA  - 2025/03/03
TI  - Ontology Construction and Intelligent Generation of Mechanized Construction Plans for Power Grid Projects
BT  - Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)
PB  - Atlantis Press
SP  - 237
EP  - 246
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-658-1_24
DO  - 10.2991/978-94-6463-658-1_24
ID  - Gao2025
ER  -