Acceleration real-time reconstruction dynamic displacement method suitable for bridge vibration monitoring

Abstract

The invention discloses an acceleration real-time reconstruction dynamic displacement method suitable for bridge vibration monitoring. The method comprises the steps of initializing two filtering parameters and filtering initial values; performing recursion processing on the original monitoring data under the current epoch to obtain available acceleration data under the current epoch, performing integral calculation once, performing filtering processing by using a weighted sliding mean filtering algorithm to obtain filtered available speed data under the current epoch, and performing integral calculation once again to obtain displacement data under the current epoch; carrying out filtering processing by using a weighted sliding mean filtering algorithm, then carrying out recursion processing to obtain available displacement data under the current epoch, and obtaining real-time vibration displacement data of the current epoch measuring point; optimally fixing the two filtering parameters by using a frequency domain processing method; and circularly executing, and calculating by epochs to obtain real-time vibration displacement data of the measuring points. According to the invention, on-line calculation can be carried out on monitoring data generated by the acceleration sensor in real time by epochs, and real-time reconstruction of the vibration displacement of the bridge is realized.

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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