Processing method of bridge vibration monitoring data

Abstract

The invention discloses a processing method of bridge vibration monitoring data. A beidou bridge monitoring data collection system is used, two Beidou receivers are used in each monitoring point, bridge vibration signals of the same monitoring point in the same period are collected synchronously, and four groups of monitoring data (Sa, Sb, Sm and Sn) are obtained; and two different groups of monitoring data are selected and serve as input signals and reference signals of a Chebyshev high pass filter respectively, and high correlation between the signals are used to identify the practical vibration displacement of a bridge. According to the invention, advantages of the Chebyshev high pass filter and a self-adaptive filter are combined to process the vibration monitoring data of the bridge structure, most random noises can be eliminated, errors, as multipath errors, of high correlation in the input signals and the reference signals can be eliminated, and more accurate dynamic displacement of the bridge structure can be obtained.

Description

technical field [0001] The invention relates to the technical field of bridge monitoring, in particular to a method for processing bridge vibration monitoring data. Background technique [0002] At present, GNSS is used to monitor the dynamic deformation of bridge structures, but various factors cause measurement errors. In the process of GNSS short-baseline double-difference solution, although the errors caused by tropospheric and ionospheric delays have been weakened, some errors cannot be weakened, such as multipath errors and random noises, which affect the extraction of actual structural vibration information. The multipath error is mainly distributed in the 0-0.2Hz frequency band, and the random noise is distributed in a wider frequency band, but the energy is low. In the current GNSS data processing method, the dynamic displacement of the centimeter-level bridge structure can be identified. However, the vibration amplitude of the small and medium-sized bridge structu...

AI Technical Summary

Problems solved by technology

[0002] At present, GNSS is used to monitor the dynamic deformation of the bridge structure, but various factors cause measurement errors

In the process of GNSS short baseline double difference calculation, although the errors caused by the troposphere and ionosphere delays have been weakened, some errors cannot be weakened, such as multipath errors and random noise, which affect the extraction of actual vibration information of structures

Multipath errors are mainly distributed in the 0-0.2Hz frequency band, and random noise is distributed in a wider frequency band, but the energy is lower

In the current GNSS data processing method, the dynamic displacement of the centimeter-level bridge structure can be identified, but the vibration amplitude of the small and medium-sized bridge structure is only a few millimeters, and the current data processing method is difficult to identify such vibration displacement