| Abstrakt: |
This article provides an in-depth analysis of how data processing technology is used and the various challenges faced in the process of bridge maintenance and upgrading. The management of overpasses, an important urban infrastructure, is moving from the traditional model to the road of automation and intelligence innovation. With the help of these advanced technologies, the efficiency of construction and maintenance work has been greatly improved, and the management model has also moved towards modernization. Although huge data resources have brought convenience and high accuracy, the insufficient total amount of data and limitations in the scope of application are still the main problems. problem. Research shows that in the whole cycle of bridge planning, construction, maintenance and operation, the use of large amounts of data is crucial, especially in terms of automated detection and intelligent maintenance. Through the integration of key data, a complete database has been created, which It not only strengthens the continuous monitoring of the health status of the bridge, but also improves the accuracy of condition prediction. In future work, researchers will work on building a standardized intelligent maintenance system to improve the accuracy of prediction of potential problems through technology., and develop a more thorough maintenance strategy to promote the in-depth evolution of bridge maintenance towards data-driven and predictive maintenance. [ABSTRACT FROM AUTHOR] |
