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Time series data aggregation method and device

A time series data and aggregation method technology, applied in the field of information processing, can solve problems such as manual intervention and low aggregation efficiency, and achieve the effect of improving aggregation efficiency and aggregation accuracy

Pending Publication Date: 2021-01-12
SHANGHAI MERCHANT SHIP DESIGN & RES INST
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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 time series data aggregation method and device to alleviate the technical problems of manual intervention and low aggregation efficiency existing in the existing time series data aggregation method

Method used

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  • Time series data aggregation method and device

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Experimental program
Comparison scheme
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Embodiment 1

[0036] According to an embodiment of the present invention, an embodiment of a time-series data aggregation method is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, Although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0037] figure 1 A flowchart of a time series data aggregation method provided by an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0038] Step S101, acquiring a time-series data set, and segmenting the time-series data set according to a preset first time window to obtain multiple first time-series data subsets.

[0039] In the embodiment of the present invention, the time-series data set is a collection of time-series data recorded in chronol...

Embodiment 2

[0076] Figure 5 It is a flowchart of another time series data aggregation method provided by an embodiment of the present invention. Such as Figure 5 As shown, in step 1, for the time series data set [T, Y], the data is divided into several segments according to the predefined continuous time window (ie, the above-mentioned first time window). Among them, T represents the time series, and Y represents the sampling data corresponding to the time series (that is, the above indicators), which can be fuel consumption, ship speed, wind speed, etc.

[0077] Step 2, calculate the mean T of T for each subset of time series data m ; Calculate the mean Y of Y m , standard deviation Y std and each sample with Y m difference Δy (i) =|y i -Y m | (i) ,i=1,2,...,n; the statistical difference is higher than the first preset threshold Δy max The number of samples Y N ; then according to Y N and Y std To determine the aggregation method of the subset of time series data: if Y N ...

Embodiment 3

[0089] An embodiment of the present invention provides a time-series data aggregation device. The time-series data aggregation device is mainly used to implement the time-series data aggregation method provided in the above content of Embodiment 1. The time-series data aggregation device provided in the embodiment of the present invention will be specifically introduced below.

[0090] Figure 6 It is a schematic structural diagram of a time series data aggregation device provided by an embodiment of the present invention. Such as Figure 6 As shown, the time series data aggregation device mainly includes: an acquisition segmentation unit 11, a first segmentation unit 12, a second segmentation unit 13, and a first aggregation unit 14, wherein:

[0091] The segmenting unit 11 is configured to obtain a time-series data set, and segment the time-series data set according to a preset first time window to obtain a plurality of first time-series data subsets: wherein, the time-series...

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Abstract

The invention provides a time series data aggregation method and device, and relates to the technical field of information processing, and the method comprises the steps: firstly obtaining a time series data set, and segmenting the time series data set according to a first time window, and obtaining a plurality of first time series data subsets; segmenting the first time series data subset of which the data type is a variable data segment according to a second time window to obtain a plurality of second time series data subsets; repeatedly executing the segmentation step on the second time series data subset of which the data type is the variable data segment until the preset amount of time series data is reserved in the Nth time window; and finally, aggregating the preset amount of time series data reserved in all the Nth time windows to obtain aggregated target behavior data. According to the method, the time window of the variable data segment can be adaptively adjusted, and more time series data is reserved by reducing the time window, so that the aggregated target behavior data can still reflect the behavior of the intelligent ship, and the aggregation efficiency and the aggregation precision are improved.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a time series data aggregation method and device. Background technique [0002] In the field of industrial big data, especially in the field of smart ships, time series data is a common form of data. Usually, the time series data that remains stable for a period of time indicates that the engineering object is in a stable working state. At this time, only one of the data needs to be used to record its state. The time-series data that changes continuously over a period of time usually indicates that the engineering object is in the process of state change. At this time, it is necessary to use data sequences (multiple pieces of data) to describe its behavior. Different from Internet big data, in the field of industrial big data, comparing and analyzing the process of data changes with the behavior of engineering objects is one of the important application me...

Claims

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Application Information

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IPC IPC(8): G06F16/2458
CPCG06F16/2474
Inventor 向新桃房新楠樊翔高文汤瑾璟陈立
Owner SHANGHAI MERCHANT SHIP DESIGN & RES INST