A Real-time Acceleration Reconstruction Dynamic Displacement Method Applicable to Bridge Vibration Monitoring

Abstract

The invention discloses a real-time acceleration reconstruction dynamic displacement method suitable for bridge vibration monitoring, which includes: initializing two filtering parameters and filtering initial value; Acceleration data can be calculated by integration once, and then the weighted sliding average filtering algorithm is used for filtering processing to obtain the available velocity data in the current epoch after filtering, and an integral calculation is performed again to obtain the displacement data in the current epoch; The sliding mean filtering algorithm performs filtering processing, and then recursively processes to obtain the available displacement data in the current epoch, and obtain the real-time vibration displacement data of the current epoch measuring point; the frequency domain processing method is used to optimally fix the two filtering parameters; The cycle is executed, and the real-time vibration and displacement data of the measuring point are obtained through the epoch-by-epoch solution. The invention can perform online calculation on the monitoring data generated by the acceleration sensor in real time by epoch, so as to realize the real-time reconstruction of the vibration displacement of the bridge.

Description

technical field [0001] The invention relates to an acceleration real-time reconstruction dynamic displacement method suitable for bridge vibration monitoring, and belongs to the technical field of bridge structure health monitoring. Background technique [0002] The bridge will vibrate under the action of external force, and its dynamic deformation directly reflects the stiffness of the bridge structure, which is an important monitoring content of the bridge structure health monitoring. However, it is very difficult to measure its absolute deformation in practice, and the usual contact measurement method needs to provide an absolutely static reference point, which is difficult to achieve in the actual bridge monitoring environment. The liquid level measurement method has a slow response to displacement changes and is usually suitable for static displacement measurement. Non-contact measurement methods, such as Global Navigation Satellite System (GNSS) technology, can direct...

AI Technical Summary

Problems solved by technology

[0003] When the original acceleration data is directly integrated twice, the accumulated error will cause the results to diverge. The traditional integration algorithm usually performs post-processing on the data, but it is difficult to meet the continuous real-time monitoring requirements in bridge health monitoring.

In recent years, many studies have proposed real-time integration schemes for acceleration, but the algorithms are relatively complex, especially the high-order matrix seriously affects the calculation efficiency. Since none of these methods realize the epoch-by-epoch calculation of the original data, they all have different degrees of time lag

In addition, the integration method proposed by the predecessors relies more on digital filters, which has a greater attenuation of low-frequency deformation signals

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