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Vibration noise smoothing method and system for attitude time series data

A smoothing and time series technology, applied in the field of data processing, can solve problems such as low real-time performance, large amount of data, and inability to accurately reflect the measured object

Active Publication Date: 2020-02-04
TSINGHUA UNIV
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Problems solved by technology

The measured object is generally a complex mechanical equipment. When it is working, each part will generate coupled vibration, which will cause the detected object's attitude time series data to be superimposed with vibration and noise interference, so that the measured object's attitude time series data cannot be accurately measured. Reflect the attitude of the measured object
[0003] The traditional method is to perform vibration and noise smoothing processing on the attitude time series data of the measured object in batches. Due to the large amount of attitude time series data, when processing the attitude time series data in batches, the processing time is long and the real-time performance is not good. High, with longer hysteresis

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[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

[0045] In one embodiment of the present invention, a method for smoothing vibration and noise processing of attitude time series data is provided, figure 1 It is a schematic diagram of the overall flow of the vibration noise smoothing method provided by the embodiment of the present invention, the method includes:

[0046] Intercepting the original attitude time series data according to the preset time window to form attitude time subsequence data corresponding to each preset time window, wherein the attit...

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Abstract

The invention provides a vibration noise smoothing method and system for attitude time series data. The method comprises the following steps of dividing original attitude time sequence data accordingto a preset time window to form the multiple segments of attitude time sub-sequence data, conducting vibration noise smoothing processing on each segment of attitude time sub-sequence data at the sametime. The processing efficiency can be improved, high real-time performance is achieved, the vibration noise in the attitude time sub-sequence data can be restrained, and smooth transition of continuous same-working-condition and different-attitude data is supported.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a method and system for smoothing vibration and noise processing of attitude time series data. Background technique [0002] According to the synthesis and decomposition of force, the attitude time series data of the measured object can be obtained by using the three-axis acceleration data of the gyroscope. The measured object is generally a complex mechanical equipment. When it works, the components will generate coupled vibrations, which will cause the detected object's attitude time series data to be superimposed with vibration and noise interference, making the measured object's attitude time series data not accurate. Reflect the attitude of the measured object. [0003] The traditional method is to perform vibration and noise smoothing processing on the attitude time series data of the measured object in batches. Due to the large amount of attitude time ...

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Application Information

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IPC IPC(8): G06F16/22G06F16/2458
CPCG06F16/22G06F16/2474G06F16/2477
Inventor 王建民马再超张力马昕刘英博孙家广
Owner TSINGHUA UNIV
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