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Abnormal value processing method and system for attitude time series data

A technology of time series and processing methods, applied in the field of data processing, which can solve the problems of long processing time, long lag, and low real-time performance

Active Publication Date: 2020-02-07
TSINGHUA UNIV
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  • Application Information

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Problems solved by technology

[0003] The traditional method is to perform abnormal processing on the attitude time series data of the measured object in batches. Due to the large amount of attitude time series data, the batch processing takes a long time, the real-time performance is not high, and it has a long lag

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Embodiment Construction

[0047] 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.

[0048] In one embodiment of the present invention, a method for processing outliers of attitude time series data is provided, figure 1 It is a schematic diagram of the overall process flow of the outlier processing method provided by the embodiment of the present invention. The method includes: intercepting the original attitude time series data according to the preset time window to form the attitude time subsequence data corresponding to each preset time window, wherein , the posture time subsequence dat...

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Abstract

The invention provides an abnormal value processing method and system for attitude time series data. Original attitude time sequence data is divided according to a preset time window, multiple segments of attitude time sub-sequence data are formed, the abnormal value processing can be conducted on each segment of attitude time sub-sequence data at the same time, the processing efficiency can be improved, and the high real-time performance is achieved. Abnormal data in the attitude time sequence data can be restrained, and the smooth transition of continuous same-working-condition 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 processing abnormal values ​​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. However, in practical applications, the attitude time series data of the measured object generally have data quality problems with intermittent large outliers. Therefore, it is necessary to perform exception processing on the attitude time series data of the measured object. [0003] The traditional method is to perform abnormal processing on the attitude time series data of the measured object in batches. Due to the large amount of attitude time series data, the batch processing takes a long time, the real-time performance is not high, and there is a long lag. Conte...

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Application Information

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IPC IPC(8): G01C9/00G01P15/14G01P15/18
CPCG01C9/00G01P15/14G01P15/18
Inventor 王建民马再超张力马昕刘英博孙家广
Owner TSINGHUA UNIV