Regional Bridge Data Extraction and Integration Based on Historical Detection Reports
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Détails bibliographiques
| Auteur(s): |
Wenwu Zhang
(Shandong Hi-speed Group Co.LTD, Jinan, Shandong 250014, China)
Chenhong Zhang (Department of Bridge Engineering, Tongji University, Shanghai 200092, China) Gongfeng Xin (Shandong Hi-speed Group Co.LTD Innovation Research Institute, Jinan, Shandong 250014, China) ChuanChang Xu (Shandong High-speed Engineering Inspection Co., Ltd, Jinan, Shandong 250014, China) |
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| Médium: | papier de conférence | ||||
| Langue(s): | anglais | ||||
| Conférence: | IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022 | ||||
| Publié dans: | IABSE Congress Nanjing 2022 | ||||
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| Page(s): | 1568-1574 | ||||
| Nombre total de pages (du PDF): | 7 | ||||
| DOI: | 10.2749/nanjing.2022.1568 | ||||
| Abstrait: |
This study firstly analyses the information source of individual bridge condition evaluation, then expand the analysis from individual bridge to regional bridge-group evaluation, and formulate integration rules for regional inspection, monitoring, traffic volume, and drawings. The integrated data from multi-source information are stored and expressed in the logical form of "route-bridge- component". After data cleaning, a road network database is established, the integrated data is mined for features, and then a comprehensive network level evaluation of regional bridge groups is carried out. The proposed information integration and data mining method and application model can effectively reveal the common characteristics and degradation laws of bridge groups in the road network and can be used for regional bridge network-level assessment. |
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| Copyright: | © 2022 International Association for Bridge and Structural Engineering (IABSE) | ||||
| License: | Cette oeuvre ne peut être utilisée sans la permission de l'auteur ou détenteur des droits. |
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