Data compression method and device

A data compression and data technology, applied in the field of data processing, can solve problems such as error, data mode loss, and large reconstruction

Active Publication Date: 2018-03-13
BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0027] However, the current principal component analysis algorithm generally can only rely on batch data without missing data for calculation. In the case of incomplete SCADA data due to data transmission errors and other reasons, principal component analysis such as singular value decomposition cannot be performed. Generally, only through Remove the incomplete data part, and then perform principal component analysis calculation
However, this simple processing method may cause the loss of some data modes, making the generated principal components inaccurate, resulting in large reconstruction errors
[0028] In addition, not only SCADA data, but other types of data compression also have such problems

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data compression method and device
  • Data compression method and device
  • Data compression method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[0038] In the present invention, for multiple sets of data, data compression is realized by analyzing using probability matrix decomposition.

[0039] In addition, it should be noted that, in the present invention, multiple sets of data are two or more sets of data, each of which contains a plurality of data, and the data type of the multiple data is a numerical type or a type that can be converted into a numerical type, Furthermore, the data numbers of the plurality of data are preferably the same.

[0040] figure 1 A flowchart showing a data compression method according to an embodiment of the present invention.

[0041] refer to figure 1 , firstly in step S110, multiple sets of data are acquired and combined into a corresponding numerical matrix. Specifically, multiple sets of data are acquired from a data source. In one embodiment, the data source is one or mor...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a data compression method and device, aiming at realizing the compression of multiple sets of data including missing data. The data compression method includes the following steps: acquiring multiple sets of data; performing probability matrix decomposition on a numerical matrix composed of the multiple sets of data; and compressing the multiple sets of data by using a probability matrix decomposition result.

Description

technical field [0001] The present invention relates to the field of data processing, more specifically, to a data compression method and device. Background technique [0002] Data compression technology is divided into two categories: lossless compression and lossy compression: lossless compression generally adopts the method of de-redundancy coding, which has a small compression ratio; lossy compression is more diverse, generally based on the change law of univariate Efficient prediction to achieve data compression, with a large compression ratio. The data compression algorithm based on PCA (Principle Components Analysis) is a lossy compression algorithm, which performs de-redundancy according to the linear correlation between different variables, thereby realizing data dimensionality reduction and data compression. [0003] However, most of the current data compression algorithms based on principal component analysis need to pre-select batch data for principal component ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H03M7/30G06F17/16
CPCG06F17/16H03M7/3062
Inventor 张光磊刘源邱忠营
Owner BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap