Bridge structure health monitoring system and control method thereof

Abstract

The invention provides a bridge structure health monitoring system and a control method thereof. The system comprises a data acquisition unit, a data processing unit, a data storage unit, a communication unit and a monitoring terminal, wherein the data acquisition unit comprises an acceleration sensor, an anemograph and a pressure sensor which are arranged on a bridge; the data processing unit comprises an ARM microprocessor, the input end of the ARM microprocessor is connected with the data acquisition unit, and the output end of the ARM microprocessor is connected with the input end of the monitoring terminal through the communication unit; the input end of the data storage unit is connected with the data processing unit, and the output end is connected with the monitoring terminal through the communication unit. According to the invention, automatic real-time regular detection is realized through the monitoring system, traditional manual inspection can be replaced, the labor cost is saved, the manual labor intensity is reduced, the working risk of inspection personnel is reduced, and the detection efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of bridge engineering, in particular to a bridge structure health monitoring system and a control method thereof. Background technique [0002] In recent years, with the rapid development of modern transportation, bridge construction, which is an important part of highway construction, has also achieved rapid development. As an important urban infrastructure, the problem of bridge disease detection follows. The stability and safety of bridges are related to the safety of people's lives and property. The increasing traffic volume and the number of large heavy trucks and overweight vehicles crossing the bridge Damage to bridges is also mounting. When bridges are damaged in various ways, if they are not repaired and repaired in time, it will bring great hidden dangers to road traffic. Regularly investigate and test the condition of the bridge deck, and make corresponding maintenance measures, so that the earl...

AI Technical Summary

Problems solved by technology

[0003] Traditional manual bridge detection methods are time-consuming, labor-intensive, inefficient, and have a single detection method

Although some automatic detection systems for bridges have appeared at home and abroad, there are certain deficiencies. There is no real-time monitoring of bridge structural data, and the ability to recognize vehicle dynamic information cannot achieve high accuracy. It has not combined vehicle and bridge deformation information. Modeling analysis cannot reflect the detection status of the axle linkage

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