Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Quick data compression method

A data compression and fast technology, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of not considering the elimination problem, achieve high-speed and high-reliability data compression, good use value, compressed data storage space Effect

Inactive Publication Date: 2016-07-27
GUANGDONG IND TECHN COLLEGE
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

None of the above-mentioned patents considers the problem of eliminating gross errors in industrial real-time detection data, the problem of data fusion during multi-sensor detection, and the problem of nonlinear characteristics of detection data

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
  • Quick data compression method
  • Quick data compression method
  • Quick data compression method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the embodiments and accompanying drawings.

[0015] The present invention provides a fast compression method for industrial real-time detection data. The method first uses digital low-pass filtering on the detection data for the problems of coarse errors, noise interference, multi-sensor detection and nonlinear characteristics of the data that may exist in the industrial detection data. Then use the inertial filter method to reduce the impact of noise on the subsequent compression; then use the variance reliability method for weighted fusion of the multi-sensor detection data, and finally use the least squares method to fit the detection fusion data twice Polynomial for data compression.

[0016] Such as figure 1 As shown, the implementation process of a fast data compression method provided...

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 discloses a quick data compression method, which comprises the following steps: preprocessing received detection data: ejecting the gross error of data information, and filtering the detection data; measuring the filtered detection data through a sensor, and carrying out fusion on the measured data; and compressing the fused data through a least square fit polynomial method. The method provided by the invention greatly compresses a data storage space, simultaneously improves data reliability, keeps the curve characteristics of the data and has a good use value through data preprocessing, data fusion and data compression.

Description

technical field [0001] The invention relates to real-time multi-sensing detection information compression in the industrial field. Background technique [0002] Data compression algorithms have been widely used in image, audio and video processing, etc., and the technology is becoming more and more mature and has formed an international standard. In the field of industrial measurement and control, with the development and application of Internet of Things technology, modern detection systems often generate massive amounts of real-time data, which requires data compression to reduce data storage space and reduce the amount of communication data between sensor nodes. [0003] At present, the real-time fast data compression algorithms that are more effective and widely used mainly include: steady-state threshold algorithm (dead zone algorithm), revolving door algorithm, linear extrapolation algorithm, etc. Since in industrial applications, detection data often present differen...

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): G06F17/30
CPCG06F16/1744
Inventor 叶廷东邓伟林李丹
Owner GUANGDONG IND TECHN COLLEGE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products