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Smart city article details
| Title | A Novel Proposal In Applying Big Data For The Bridge Management System |
|---|---|
| ID_Doc | 3497 |
| Authors | Ngo-Kieu N.; Nguyen T.D.; Tran L.Q.; Le C.M.; Vuong-Cong L.; Nguyen-Quoc H.; Pham-Bao T. |
| Year | 2023 |
| Published | Lecture Notes in Mechanical Engineering |
| DOI | http://dx.doi.org/10.1007/978-981-19-4835-0_24 |
| Abstract | This paper introduces a promising proposal in using information technology (IT) to perform mathematical tools of artificial intelligence (AI) for the health monitoring of bridge with big data (BD). AI methods for structural health monitoring (SHM) can support sustainable infrastructures of smart city by predicting condition more precisely and making maintenance faster. AI is implemented by 2 main resources including BD which must be large and spread over time and pattern recognition algorithms, using BD, called machine learning (ML). In the above two resources, big data occupies an important and prerequisite position. Therefore, this study was carried out in 2 steps. First, the volume of digital data to create BD is developed by organizing the actual vibration measurement for the entire bridge system in detail, comprehensively and regularly to ensure good quality data and serve analysis goal. Final, the vibration signal of bridge under real traffic is used for accessing relatively bearing condition of bridge spans and classifying inspection limits of bridge. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
| Author Keywords | Artificial intelligence (AI); Big data (BD); Inspection limits; Structural health monitoring (SHM); Vibration |
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