Real-time method for eliminating influences of temperature on low-frequency sampling indexes in bridge structure online safety monitoring

Abstract

The invention discloses a real-time method for eliminating influences of temperature on low-frequency sampling indexes in bridge online safety monitoring. The method is clear in principle and easy toimplement, can efficiently eliminate the influences of the temperature effect from actually measured data of a bridge monitoring system, obtains responses purely caused by live loads, and meets the real-time pre-warning and state evaluation requirements of the bridge online safety monitoring system. The method comprises the main steps that firstly, according to the actually measured data of n low-frequency sample indexes before a current moment, least square curve fitting is conducted on the actually measured data to obtain a fitting formula of the variation trend of the actually measured data; secondly, after the fitting formula is obtained, the temperature effect of the current moment is predicted by using the formula; thirdly, the predicted temperature effect is eliminated from the actually measured data of the current moment. The method is easy to operate, efficient, accurate and suitable for real-time temperature effect modification of the low-frequency sampling indexes (such as displacement and the inclination angle) of all bridge online safety monitoring systems.

Description

technical field [0001] The invention belongs to the technical field of bridge structure safety monitoring data processing in civil engineering and traffic engineering, and particularly relates to a real-time method for eliminating the influence of temperature on low-frequency sampling indicators in online safety monitoring of bridge structures. Background technique [0002] As an important part of the modern transportation system, the safety and stability of the bridge structure is the basis for ensuring smooth traffic. However, the service period of bridges is long, and the environment is harsh and complex. Usually, structural damage occurs due to factors such as improper maintenance, environmental erosion, and material aging, which degrades its safety. In recent years, with the rapid growth of my country's economy, bridges The traffic flow and weight load carried increase rapidly, especially overloaded vehicles on the bridge, which greatly increases the possibility of struc...

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Problems solved by technology

[0005] In practice, some methods have been developed to separate the environmental temperature effect components from the displacement response of bridge structures, such as least squares fitting method, ARMA time series model method, low-pass filtering method, empirical mode decomposition method, wavelet analysis method, etc. , but frequency domain methods such as filtering method and empirical mode decomposition method are not suitable for indicators with low sampling frequency; the traditional least squares fitting method generally fits a mapping relationship between the time history of monitored quantities and the time history of temperature, so that Excluding the temperature effect, when the monitoring quantity fluctuates greatly with the temperature, the error is large near the extreme value of the time history curve of the monitoring quantity; the model of the ARMA time series model method is relatively complicated, and the error is relatively large, which cannot be easily and accurately applied to the actual monitoring system. Complete real-time processing of monitoring data in

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