Bridge structure safety monitoring and management system based on big data

Abstract

The invention discloses a road tunnel engineering safety real-time monitoring and management system based on big data. The system comprises a settlement observation point division module, a foundationsettlement monitoring and analysis module, an inhaul cable force monitoring and analysis module, a tower crane inclination detection and analysis module, a standard database, a data processing center, a central server and a display terminal. According to the road tunnel engineering safety real-time monitoring and management system based on big data, a bridge deck differential settlement coefficient, a cable force danger coefficient and an inclination danger coefficient are integrated to count the comprehensive health coefficient of the bridge structure to match the bridge structure comprehensive health coefficient corresponding to each health grade of the bridge structure; the health levels corresponding to the comprehensive health coefficients of the bridge structure are screened, multi-aspect parameters of the bridge structure are safely and accurately monitored, the comprehensive health condition of the bridge structure can be evaluated, the bridge management technical level is improved, and normal operation of the bridge is guaranteed.

Description

technical field [0001] The invention relates to the technical field of bridge structure monitoring, and relates to a bridge structure safety monitoring management system based on big data. Background technique [0002] In the past ten years, my country's highway and bridge construction has entered a period of rapid development. Every year, many bridges are under construction, causing bridge engineering accidents to occur from time to time. If the inspection and monitoring of bridges in operation are not strengthened, once the bridge Severe structural damage leading to collapse will have very serious consequences. [0003] Therefore, various highway management departments have strengthened bridge inspections and conducted safety assessments of bridges in operation. However, general bridge structure inspections are based on visual inspection combined with instruments to evaluate the appearance of bridges, and it is impossible to accurately understand the deformation of bridge s...

AI Technical Summary

Problems solved by technology

[0002] In the past ten years, my country's highway and bridge construction has entered a period of rapid development. Every year, many bridges are under construction, causing bridge engineering accidents to occur from time to time. If the inspection and monitoring of bridges in operation are not strengthened, once the bridge Severe structural damage leading to collapse with very serious consequences

[0003] Therefore, various highway management departments have strengthened bridge inspections and conducted safety assessments of bridges in operation. However, general bridge structure inspections are based on visual inspection combined with instruments to evaluate the appearance of bridges, and it is impossible to accurately understand the deformation of bridge structures. At the same time, in the daily inspection, the bridge deck settlement and tower crane inclination of some bridges are observed by naked eyes, but it is impossible to know whether the settlement deformation and inclination deformation are within the safety limit, and more importantly, it is impossible to know the comprehensive health of the bridge structure. Therefore, the present invention designs a bridge structure safety monitoring management system based on big data

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