The Bridge Maintenance Management in the Context of Big Data
The maintenance and management of bridge is crucial to their normal operation. The application of big data technology makes the processing of massive data in the process of bridge maintenance and management more timely and accurate. In order to evaluate the status of suspension bridge in operation p...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
|
| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/09/e3sconf_icuems2023_01002.pdf |
| _version_ | 1811157539249717248 |
|---|---|
| author | Ma Wen-Gang Li Chen-Tao Zhu Yu-Qin Cong Ling Hu Shi-Xiang |
| author_facet | Ma Wen-Gang Li Chen-Tao Zhu Yu-Qin Cong Ling Hu Shi-Xiang |
| author_sort | Ma Wen-Gang |
| collection | DOAJ |
| description | The maintenance and management of bridge is crucial to their normal operation. The application of big data technology makes the processing of massive data in the process of bridge maintenance and management more timely and accurate. In order to evaluate the status of suspension bridge in operation period more accurately and timely, on the basis of summarizing the big data sources of bridge, wavelet separation method is used to separate the waveform of displacement data at the support of suspension bridge. Considering the influence of temperature on displacement data, the sections with inconsistent temperature and displacement curves were eliminated, and the data were divided into three continuous time periods for fitting analysis. The analysis results show that the fitting and analysis of the temperature beam end longitudinal displacement data in each continuous period can more accurately and timely evaluate the status of the key constraint devices of the bridge, and then provide data support for the bridge maintenance management. |
| first_indexed | 2024-04-10T05:07:47Z |
| format | Article |
| id | doaj.art-f5903c1b9a11498c9c8bae23fcca2633 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-10T05:07:47Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-f5903c1b9a11498c9c8bae23fcca26332023-03-09T12:02:48ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013720100210.1051/e3sconf/202337201002e3sconf_icuems2023_01002The Bridge Maintenance Management in the Context of Big DataMa Wen-Gang0Li Chen-Tao1Zhu Yu-Qin2Cong Ling3Hu Shi-Xiang4Nanjing Institute of TechnologyNanjing Institute of TechnologyNanjing Institute of TechnologyNanjing Institute of TechnologyNanjing Institute of TechnologyThe maintenance and management of bridge is crucial to their normal operation. The application of big data technology makes the processing of massive data in the process of bridge maintenance and management more timely and accurate. In order to evaluate the status of suspension bridge in operation period more accurately and timely, on the basis of summarizing the big data sources of bridge, wavelet separation method is used to separate the waveform of displacement data at the support of suspension bridge. Considering the influence of temperature on displacement data, the sections with inconsistent temperature and displacement curves were eliminated, and the data were divided into three continuous time periods for fitting analysis. The analysis results show that the fitting and analysis of the temperature beam end longitudinal displacement data in each continuous period can more accurately and timely evaluate the status of the key constraint devices of the bridge, and then provide data support for the bridge maintenance management.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/09/e3sconf_icuems2023_01002.pdf |
| spellingShingle | Ma Wen-Gang Li Chen-Tao Zhu Yu-Qin Cong Ling Hu Shi-Xiang The Bridge Maintenance Management in the Context of Big Data E3S Web of Conferences |
| title | The Bridge Maintenance Management in the Context of Big Data |
| title_full | The Bridge Maintenance Management in the Context of Big Data |
| title_fullStr | The Bridge Maintenance Management in the Context of Big Data |
| title_full_unstemmed | The Bridge Maintenance Management in the Context of Big Data |
| title_short | The Bridge Maintenance Management in the Context of Big Data |
| title_sort | bridge maintenance management in the context of big data |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/09/e3sconf_icuems2023_01002.pdf |
| work_keys_str_mv | AT mawengang thebridgemaintenancemanagementinthecontextofbigdata AT lichentao thebridgemaintenancemanagementinthecontextofbigdata AT zhuyuqin thebridgemaintenancemanagementinthecontextofbigdata AT congling thebridgemaintenancemanagementinthecontextofbigdata AT hushixiang thebridgemaintenancemanagementinthecontextofbigdata AT mawengang bridgemaintenancemanagementinthecontextofbigdata AT lichentao bridgemaintenancemanagementinthecontextofbigdata AT zhuyuqin bridgemaintenancemanagementinthecontextofbigdata AT congling bridgemaintenancemanagementinthecontextofbigdata AT hushixiang bridgemaintenancemanagementinthecontextofbigdata |