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Method for optimizing yield of LED product

An optimization method and product technology, applied in the field of artificial intelligence, can solve problems such as poor timeliness, difficulty in effectively ensuring the accuracy and optimality of results, and high cost loss, so as to reduce the process of trial and error, improve timeliness, The effect of reducing loss

Inactive Publication Date: 2018-10-12
浙江云科智造科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current white LED packaging technology can basically meet the production needs of most enterprises, but there are still some problems, such as the selection of raw materials, the determination of formula, and the setting of process parameters, etc. It is difficult to effectively guarantee the accuracy and optimality of the results. On the other hand, the determination of the packaging process needs to be tested through repeated experiments. The cost loss is large and the timeliness is not good.

Method used

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  • Method for optimizing yield of LED product
  • Method for optimizing yield of LED product
  • Method for optimizing yield of LED product

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Embodiment 1

[0046] See figure 1 and image 3 , figure 1 It is a schematic diagram of an optimization process through a material recommendation model for an LED product yield optimization method provided by an embodiment of the present invention; image 3 It is a schematic flow chart of establishing a material recommendation model for a LED product yield optimization method provided by an embodiment of the present invention. The yield rate is the so-called pass rate, which is obtained by dividing the number of finished products shipped by the total number of shipments. The RGB color mode is a color standard in the industry. It obtains a variety of colors by changing the three color channels of red (R), green (G), and blue (B) and superimposing them with each other. Yes, RGB is the color that represents the three channels of red, green, and blue. When their lights are superimposed on each other, the colors are mixed, and the more they are mixed, the higher the brightness. The superposit...

Embodiment 2

[0060] See figure 2 and Figure 4 , figure 2 It is a schematic diagram of an optimization process of an LED product yield optimization method through a ratio recommendation model provided by an embodiment of the present invention; Figure 4 It is a schematic flow chart of establishing a ratio recommendation model of a LED product yield optimization method provided by an embodiment of the present invention. The RGB color mode is a color standard in the industry. It obtains a variety of colors by changing the three color channels of red (R), green (G), and blue (B) and superimposing them with each other. Yes, RGB is the color that represents the three channels of red, green, and blue. When their lights are superimposed on each other, the colors are mixed, and the more they are mixed, the higher the brightness. The superposition of red, green and blue lights, the brightest superimposed area of ​​the three colors in the center is white, and the more superimposed, the brighter...

Embodiment 3

[0074] See image 3 , Figure 4 and Figure 5 , image 3 It is a schematic flow chart of establishing a material recommendation model for an LED product yield optimization method provided by an embodiment of the present invention; Figure 4 It is a schematic flow chart of establishing a ratio recommendation model for an LED product yield optimization method provided by an embodiment of the present invention; Figure 5 It is a schematic flowchart of a LED product yield optimization method provided by an embodiment of the present invention. The RGB color mode is a color standard in the industry. It obtains a variety of colors by changing the three color channels of red (R), green (G), and blue (B) and superimposing them with each other. Yes, RGB is the color that represents the three channels of red, green, and blue. When their lights are superimposed on each other, the colors are mixed, and the more they are mixed, the higher the brightness. The superposition of red, green...

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Abstract

The invention relates to a method for optimizing a yield of an LED (Light-Emitting Diode) product, comprising the steps of: acquiring a first product preset requirement; selecting original materials through a material recommendation model and the first product preset requirement, wherein the material recommendation model is used for representing a corresponding relationship between materials and first product parameters; and obtaining an LED product according to the original materials. Through adoption of the method provided by the invention, the most suitable original material can be quicklyand effectively found through the material recommendation model, and through adoption of a material proportioning recommendation model, prediction for a color rendering condition of LED white light can be achieved by calculation under different proportions of fluorescent powders, thereby eliminating influence of human experience, reducing loss and improving timeliness.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a method for optimizing the yield rate of LED products. Background technique [0002] As the fastest growing light source product in recent years, LED is bound to replace most traditional lighting in the near future and become the mainstream product in the lighting market. Among them, white LED has the advantages of energy saving, environmental protection, small size and long luminous time. It is widely used in many fields such as automobile lighting and indoor lighting, and is the most promising next-generation solid-state light source. While this has brought a broad market space to white light LED packaging factories, it also puts forward higher requirements for the quality level of white light LED packaging. [0003] At present, the white LED packaging process has to go through multiple links such as R&D and design, raw material selection, solderin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H01L33/50G06F17/50
CPCG06F30/20G06F2113/20G06F2119/18H01L33/501H01L33/502
Inventor 钱家乐顾铠张智
Owner 浙江云科智造科技有限公司