Data noise reduction method and system for bridge structure monitoring

Abstract

The embodiment of the invention provides a data noise reduction method and system for bridge structure monitoring. The method comprises the following steps: acquiring an original observation signal; performing pole symmetry modal decomposition on the original observation signal to obtain a decomposed intrinsic mode component and a residual component; separating the decomposed intrinsic mode component and the residual component by adopting a blind source separation algorithm to obtain a separation signal; performing frequency domain conversion on the separation signal to obtain a frequency domain conversion result, and obtaining a noise component according to the noise frequency in the frequency domain conversion result; removing a noise component, and performing reverse reconstruction on the decomposed intrinsic mode component and the residual component to obtain a reconstructed signal component; calculating a Spearman coefficient for decomposing the intrinsic mode component and the original observation signal, and determining a preset threshold; and accumulating the reconstructed signal components according to a preset threshold to obtain signal data without noise information. According to the embodiment of the invention, modal decomposition and blind source separation are combined, and decomposition, denoising and reconstruction of the bridge monitoring data are effectively realized.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a data noise reduction method and system for bridge structure monitoring. Background technique [0002] Bridge structure monitoring is the key link to ensure the safe operation of bridges, and there must be noise information in the monitoring data, so it is very necessary to reduce the noise of bridge monitoring data. Pole Symmetric Mode Decomposition (ESMD) is one of the existing methods for data noise reduction. This algorithm is a new development of Hilbert-Huang transform. Compared with Fourier transform and wavelet transform, its major innovation In the baseless method, a simple decomposition rule is used to replace the construction of the basis function. The screening process only follows a simple symmetric rule. The selection of the allowable error and the number of screenings is empirical, and it is suitable for the analysis of nonlinear, non-linear The stationar...

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Problems solved by technology

[0005] The embodiment of the present invention provides a data noise reduction method and system for bridge structure monitoring, which is used to solve the defects in the prior art that the data decomposition signals are mixed and the reconstructed signals cannot be restored well.

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