Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

Research on Information Coding and Management for Big Data Mining in Highway Bridge Operation and Maintenance

Authors
Shixiang Hu1, Wengang Ma1, *, Yuqin Zhu1, Ling Cong1
1School of Economics & Management, Nanjing Institute of Technology, Nanjing, China
*Corresponding author. Email: hqhsx@163.com
Corresponding Author
Wengang Ma
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_115How to use a DOI?
Keywords
Big Data Mining; Bridge; Information Coding Classification; Operation and Maintenance
Abstract

In order to make full use of the available information in the operation and maintenance (O&M) stage, such as historical inspection results, and enhance the effectiveness of bridge O&M, this paper presents a method for classifying and coding bridge O&M stage information. An analysis of common construction information classification systems, including OmniClass, GB/T 51269–2017, and JTG/T 2420–2021, which are widely adopted domestically and internationally, reveals their inadequacy in addressing the data recording requirements of the bridge O&M process. In response, the proposed method improves upon existing systems and employs a combination of linear classification and side classification methods. The method comprises six recommended tables for information classification, each with corresponding classification rules and coding methods. This approach effectively transforms O&M phase data into structured bridge status information, thereby providing a database for big data mining.

Copyright
© 2023 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 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
978-94-6463-200-2
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_115How to use a DOI?
Copyright
© 2023 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  - Shixiang Hu
AU  - Wengang Ma
AU  - Yuqin Zhu
AU  - Ling Cong
PY  - 2023
DA  - 2023/07/26
TI  - Research on Information Coding and Management for Big Data Mining in Highway Bridge Operation and Maintenance
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 1090
EP  - 1097
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_115
DO  - 10.2991/978-94-6463-200-2_115
ID  - Hu2023
ER  -