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

Establishment of predictive model for glass material properties and its predictive method and device

A prediction model and technology of glass materials, applied in prediction, instrumentation, data processing applications, etc., can solve problems such as limitations, single glass system, and limited application range

Active Publication Date: 2022-04-12
SINOMA SCI & TECH
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The embodiment of the present invention provides a prediction model establishment and prediction method and device for glass material properties, so as to solve the existing limitations and limited application range of the current detection method that can only detect a single glass system and single performance.

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
  • Establishment of predictive model for glass material properties and its predictive method and device
  • Establishment of predictive model for glass material properties and its predictive method and device
  • Establishment of predictive model for glass material properties and its predictive method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0032] Embodiments of the present invention provide a method for establishing a prediction model of glass material properties, such as figure 1 As shown, the method for establishing a predictive model of glass material performance mainly includes the following steps:

[0033] Step S11: Obtain formula data and various performance data of glass materials to fo...

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 prediction model establishment, prediction method and device for the performance of glass materials. The method for establishing the prediction model includes: obtaining formula data and various performance data of glass materials to form a prediction database; screening training data from the prediction database, according to The training data is used to construct the prediction model and generate the prediction model. By implementing the invention, starting from prediction, a large number of experiments are predicted, which can effectively reduce the amount of experiments, reduce time costs, and increase the rate of research and development of new formulas. At the same time, through the establishment of the model, the ready-made production can be monitored in real time according to the model, and the accurate prediction model can be used to adjust the glass formula or the corresponding production process in real time according to the prediction curve, which is not only conducive to improving product production efficiency, but also conducive to precise control and improvement. Product pass rate.

Description

technical field [0001] The invention relates to the technical field of glass material detection, in particular to a method and device for establishing a prediction model for the performance of glass materials and for prediction. Background technique [0002] Glass and glass fiber materials are an indispensable and important member in the field of materials. With the development of science and technology, the scope of use of glass materials continues to expand, and its requirements for the comprehensive performance of glass materials are also getting higher and higher. However, in recent decades of research and development, glass and glass fiber materials have shown obvious barriers in the development of certain properties. According to the traditional glass research and development method, look up the data to find the law-experiment-verify the law-retest method, It has been difficult to break through the limitations and achieve results. And even if a breakthrough in perfor...

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 Patents(China)
IPC IPC(8): G06Q10/04G06Q50/04G06F16/2458
CPCG06Q10/04G06Q50/04Y02P90/30
Inventor 祖群黄三喜陈洋
Owner SINOMA SCI & TECH
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