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

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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

risenwbib
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  -