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

Polycrystalline silicon ingot casting quality prediction method and system based on batching data

A quality prediction, polycrystalline silicon ingot technology, applied in the field of polycrystalline silicon ingot quality prediction based on batching data, to achieve the effects of attribute reduction, accurate cost, and removal of redundant features

Active Publication Date: 2020-09-08
TAIYUAN UNIV OF TECH
View PDF9 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] It can be seen that the existing methods cannot realize the effective prediction of the quality of polysilicon ingots quickly, accurately and at low cost.

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
  • Polycrystalline silicon ingot casting quality prediction method and system based on batching data
  • Polycrystalline silicon ingot casting quality prediction method and system based on batching data
  • Polycrystalline silicon ingot casting quality prediction method and system based on batching data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0040] The object of the present invention is to provide a method and system for predicting the quality of polysilicon ingots based on batching data, which can realize the prediction of the quality of polysilicon ingots quickly, accurately and at low cost.

[0041] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accom...

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 a polycrystalline silicon ingot casting quality prediction method and system based on batching data. The method comprises the following steps: acquiring batching data of a polycrystalline silicon ingot; preprocessing the batching data; wherein the preprocessing comprises the steps of performing data cleaning and deleting data with missing numerical values; performing dimension reduction processing on the preprocessed batching data by using a diffusion mapping algorithm; constructing a support vector data description model by using the batching data subjected to dimension reduction processing in a set proportion; and utilizing the trained support vector data description model to carry out quality prediction classification on the batching data after dimension reduction processing to obtain a product quality prediction classification result. According to the polycrystalline silicon ingot casting quality prediction method and system based on the burdening data, prediction of the polycrystalline silicon ingot casting quality can be rapidly and accurately achieved with low cost.

Description

technical field [0001] The invention relates to the field of polycrystalline silicon ingot quality prediction, in particular to a polycrystalline silicon ingot quality prediction method and system based on batching data. Background technique [0002] Polycrystalline silicon is a form of elemental silicon. When molten elemental silicon solidifies under supercooled conditions, silicon atoms are arranged in the form of diamond lattices to form many crystal nuclei. If these nuclei grow into crystal grains with different crystal plane orientations, these The grains combine to crystallize into polysilicon. A complete cycle of polysilicon ingot mainly includes: spraying and charging, pre-ingot inspection, ingot running process, prescription, silicon wafer processing and silicon wafer inspection and other technological processes. [0003] In the process of polysilicon ingot casting, its state can be described in the form of actual measured physical quantities or mathematical statis...

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): G06F16/215C30B29/06C30B28/06G06Q10/04G06K9/62G06Q10/06G06F30/20
CPCG06F16/215C30B29/06C30B28/06G06Q10/06395G06Q10/04G06F30/20G06F18/24G06F18/214Y02P90/30
Inventor 张雪英王杰李凤莲陈桂军黄丽霞徐静林张龙
Owner TAIYUAN UNIV OF 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