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A method and device for repairing multi-dimensional time series data based on speed constraints

A technology of time series data and speed constraints, applied in the field of data processing, can solve the problem of low repair accuracy of repair methods, and achieve the effect of improving repair efficiency and accuracy

Active Publication Date: 2018-12-11
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a multi-dimensional time series data repair method and device based on speed constraints, which solves the technical problem of low repair accuracy of the repair method in the prior art

Method used

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  • A method and device for repairing multi-dimensional time series data based on speed constraints
  • A method and device for repairing multi-dimensional time series data based on speed constraints
  • A method and device for repairing multi-dimensional time series data based on speed constraints

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Embodiment 1

[0041] figure 1 It is a schematic diagram of a method for repairing multi-dimensional time series data based on speed constraints according to an embodiment of the present invention, as shown in figure 1 As shown, the present invention provides a speed-constrained multi-dimensional time-series data repair method, including:

[0042] Step S10, calculating the velocity between any two data points in each subsequence of the multidimensional time series data, where the velocity between the data points represents the ratio of the distance between the two data points to the time difference;

[0043] Step S20, constructing a velocity constraint equation based on the velocity between any two data points in each subsequence;

[0044] Step S30 , according to the speed constraint equation, determine the repair value of each data point, and the repair value is the data value of the repaired data point.

[0045] Further, before calculating the velocity between any two data points in each...

Embodiment 2

[0099] figure 2 It is a schematic diagram of a speed constraint-based multi-dimensional time series data restoration device according to an embodiment of the present invention, as shown in figure 2 As shown, the embodiment of the present invention provides a multi-dimensional time-series data repair device based on speed constraints, which is used to complete the method described in the above embodiment, and specifically includes a calculation module 10, a construction module 20 and a repair module 30, wherein,

[0100] Calculation module 10 is used for calculating the speed between any two data points in each subsequence of the multidimensional time series data, the speed between the data points represents the ratio of the distance and the time difference between the two data points;

[0101] The construction module 20 is used to construct a speed constraint equation based on the speed between any two data points in each subsequence;

[0102] The repair module 30 is config...

Embodiment 3

[0106] image 3 A schematic structural diagram of an electronic device for repairing multi-dimensional time-series data provided by an embodiment of the present invention, such as image 3 As shown, the device includes: a processor 801, a memory 802 and a bus 803;

[0107] Wherein, the processor 801 and the memory 802 complete mutual communication through the bus 803;

[0108] The processor 801 is used to call the program instructions in the memory 802 to execute the methods provided by the above method embodiments, including, for example:

[0109] Calculating the speed between any two data points in each subsequence of the multidimensional time series data, the speed between the data points represents the ratio of the distance between the two data points to the time difference;

[0110] Construct a velocity constraint equation based on the velocity between any two data points in each subsequence;

[0111] According to the velocity constraint equation, a repair value of eac...

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Abstract

The invention provides a multidimensional time sequence data repairing method and device on the basis of velocity constraints. The method comprises the steps of calculating a velocity between any twodata points in each subsequence of multidimensional time sequence data, wherein the multidimensional time sequence data comprises a plurality of data points, and the velocity between any two data points represents the ratio of the distance between the two data points to the time difference; based on the velocity between any two data points in each subsequence, constructing a velocity constraint equation; according to the velocity constraint equations, determining a repairing value of each data point. According to the multidimensional time sequence data repairing method and device on the basisof the velocity constraints, by calculating the velocity between any two data points in the subsequence, constructing the velocity constraint equation based on the maximum and minimum velocities between any two data points and determining the repairing value of each data point according to the velocity constraint equations, the repairing efficiency and accuracy are improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for repairing multi-dimensional time series data based on speed constraints. Background technique [0002] Multi-dimensional time-series data is very common in people's daily life, such as data generated by sensors on various types of machinery, GPS data, etc. are multi-dimensional time-series data. However, in the life cycle of multi-dimensional time series data generation, transmission, reception, and utilization, various errors may occur due to various reasons, resulting in data quality problems. For example, due to insufficient power of the sensor or unexpected disturbance, errors will occur during the generation of multi-dimensional time series data. During the transmission process, data loss and errors may also be caused by network delays and surrounding noise effects. These data quality problems will lead to biased conclusions for the analysis...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/07G06F17/30
CPCG06F11/0745G06F16/215
Inventor 王建民宋韶旭张奥千
Owner TSINGHUA UNIV