Quality control method for mass LED packaging production process

A technology for LED packaging and production process, applied in the field of intelligent analysis, which can solve problems such as being susceptible to interference and complex physical models, and achieve the effects of adjustment, failure prevention, and generalization ability improvement.

Active Publication Date: 2017-03-22
SOUTH CHINA UNIV OF TECH
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at problems such as complex physical models and susceptibility to interference in the production process of large-volume LED packaging, the purpose of the present invention is to provide a data-driven intell

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
  • Quality control method for mass LED packaging production process
  • Quality control method for mass LED packaging production process
  • Quality control method for mass LED packaging production process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0034] The invention provides a quality control method in the production process of mass LED encapsulation, such as figure 1 As shown, this example includes an offline analysis module for LED products and an online monitoring module for the LED coating production process. The LED product offline analysis module collects LED quality parameter data, and uses multivariate control charts to identify abnormal states; for abnormal states, an optimized support vector machine is used to identify abnormal sources, determine abnormal quality indicators, and analyze its associated abnormal production parameters. Take quality control measures or adjust process parameters. The online monitoring module of the LED coating process collects the production process parameter data, and uses the multivariable control chart to identify the abnormal state of the production process; for the abnormal state, the optimized support vector machine method is used to identify the source of the abnormality, ...

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 quality control method for a mass LED packaging production process. The quality control method comprises offline analysis of LED products and online monitoring of LED coating production process. The offline analysis comprises the steps of: (1) acquiring and preprocessing five pieces of quality index data of the LED products; (2) determining whether product quality is abnormal by utilizing a multivariate control chart; (3) if so, adopting an optimized support vector machine for conducting multivariate anomaly source identification; (4) and adopting an Apriori algorithm for analyzing abnormal production parameters associated with identified abnormal quality indexes. The online monitoring of the LED coating production process comprises the steps of: (1) acquiring 6 production parameters of a fluorescent powder coating technology in the LED packaging production process; (2) determining whether the production process is abnormal by utilizing the multivariate control chart; (3) and if so, adopting the optimized support vector machine for conducting multivariate anomaly source identification, and determining the abnormal parameters. The intelligent analysis and detection method for the mass LED packaging production process is provided by the invention, and can effectively solve the quality control problem in the LED packaging production process.

Description

technical field [0001] The present invention relates to the field of intelligent analysis of light-emitting diode (Light-Emitting Diode, LED) packaging production process, specifically a data-driven intelligent quality control method including offline analysis of product quality and online monitoring of production process. Background technique [0002] A light-emitting diode (LED) is a solid-state semiconductor light-emitting device that directly converts electrical energy into light energy. As a modern new light source, LED has the advantages of longevity, high efficiency, energy saving and environmental protection. The LED packaging process and manufacturing process mainly include solid crystal, bonding, phosphor coating, plastic molding, spectroscopic and color separation, and testing and sorting. Among them, phosphor coating is a key process to realize the conversion of high-power LEDs into white LEDs, and directly affects the quality indicators such as LED luminous eff...

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
IPC IPC(8): G05B19/418
CPCG05B19/41875G05B2219/31359Y02P90/02
Inventor 胡跃明李康婧罗家祥
Owner SOUTH CHINA UNIV OF TECH
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