Material physical data classification system based on computer big data

A classification system and physical data technology, applied in special data processing applications, database indexes, database models, etc., can solve the problems of cumbersome and complicated data classification procedures and unfavorable work efficiency, so as to simplify the classification procedures, improve work efficiency, and improve The effect of accuracy

Inactive Publication Date: 2019-09-27
MUDANJIANG NORMAL UNIV
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the era of computer big data, how to efficiently process the collected data is an important condition for improving work efficiency. Due to the variety of physical materials, the data classification procedure is cumbersome and complicated, and it cannot be used to improve work efficiency.

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
  • Material physical data classification system based on computer big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] Such as figure 1 As shown, the present invention provides a technical solution: a material physics data classification system based on computer big data, including a central processing unit 1, and the input ends of the central processing unit 1 are respectively electrically connected to an information collection unit 2 and an information feedback unit 3 The output end of the central processing unit 1 is electrically connected to the input end of the data calculation unit 4, the deletion module 5, the data classification storage unit 6 and the identification judgment unit 7 respectively, and the output end of the data calculation unit 4 is electrically connected to the data statistics Unit 8, the output end of data statistics unit 8 and identification judgment unit 7 are all electrically connected with the input end of information feedback unit 3, the output end of data classification storage unit 6 is electrically connected with data analysis unit 9, and information coll...

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 relates to the technical field of material physical data classification, and discloses a material physical data classification system based on the computer big data. The system comprises a central processing unit, the input end of the central processor is electrically connected with the output ends of an information acquisition unit and an information feedback unit. The output end of the central processing unit is electrically connected with the input ends of a data calculation unit, a deletion module, a data classified storage unit and an identification judgment unit, and the output end of the data calculation unit is electrically connected with a data statistics unit. A first information data acquisition module, a second information data acquisition module, a third information data acquisition module and a fourth information data acquisition module in an information acquisition unit are utilized; material data in each field are collected, and are calculated, compared, identified and judged by the central processing unit after being collected, and then are stored in a classified manner, so that the program of material physical data classification is simplified, and the working efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of material physics classification, in particular to a material physics data classification system based on computer big data. Background technique [0002] The characteristic direction of material physics is in the fields of condensed matter physics, semiconductor physics, electronic materials, microelectronic devices and so on. Students are required to have a solid foundation in mathematics and physics. Focus on cultivating students' application and innovation abilities in the fields of using the knowledge of physics and materials science to engage in basic theoretical research, or to develop new electronic materials and microelectronic device technology, analysis and design. In the era of computer big data, how to efficiently process the collected data is an important condition for improving work efficiency. Due to the variety of physical materials, the data classification program is cumbersome and compl...

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): G06F16/22G06F16/28
CPCG06F16/22G06F16/285
Inventor 张伟王雪
Owner MUDANJIANG NORMAL UNIV
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