Method and device for detecting yield of injection molding products and electronic equipment

A technology for injection molding and detection methods, applied in neural learning methods, biological neural network models, image data processing, etc., can solve problems such as inability to measure and inspect products, poor injection molding product manufacturing process, and improve scoring accuracy. degree, avoiding the effect of unstable scoring standards

Pending Publication Date: 2021-06-25
FU TAI HUA IND SHENZHEN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In traditional manufacturing, injection molded products not only cannot be measured and inspected in real time, but also usually need to be placed for several hours before manual inspection
In addition, manual inspection will take a lot of manpower and time, so injection molding products are usually in the form of random inspection, which can easily lead to bad injection molding products flowing into the subsequent process flow

Method used

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  • Method and device for detecting yield of injection molding products and electronic equipment
  • Method and device for detecting yield of injection molding products and electronic equipment
  • Method and device for detecting yield of injection molding products and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] figure 1 It is a flow chart of the detection method for the yield rate of injection molded products in one embodiment of the present invention. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

[0051] refer to figure 1 As shown, the detection method of the injection molding product yield specifically includes the following steps:

[0052] Step S11, obtaining the production parameters of the injection molding machine, temperature data and pressure data in the injection mold.

[0053] In this embodiment, the injection molding machine is used for injection molding the product to be injection molded. The number of the injection molding machines includes multiple, and the multiple injection molding machines are networked to form a molding machine network. In one embodiment, a plurality of the injection molding machines can be connected together by cables to form the molding machine network. In ano...

Embodiment 2

[0068] figure 2 It is a structural diagram of a detection device 30 for the yield rate of injection molded products in an embodiment of the present invention.

[0069] In some embodiments, the detection device 30 for the yield rate of the injection molded product runs in an electronic device. The inspection device 30 for the yield rate of injection molded products may include a plurality of functional modules composed of program code segments. The program codes of each program segment in the injection molding product yield detection device 30 can be stored in a memory, and executed by at least one processor to perform the injection molding product yield detection function.

[0070] In this embodiment, the detection device 30 for the yield rate of injection molded products can be divided into multiple functional modules according to the functions it performs. refer to figure 2 As shown, the injection molding product yield detection device 30 may include an acquisition modu...

Embodiment 3

[0087] image 3 It is a schematic diagram of the electronic device 6 in an embodiment of the present invention.

[0088] The electronic device 6 includes a memory 61 , a processor 62 and a computer program 63 stored in the memory 61 and executable on the processor 62 . When the processor 62 executes the computer program 63, the steps in the embodiment of the method for detecting the yield of injection molded products are realized, for example figure 1 Steps S11 to S15 are shown. Alternatively, when the processor 62 executes the computer program 63, it realizes the functions of each module / unit in the embodiment of the detection device for the yield rate of injection molded products, for example figure 2 Modules 301-307 in.

[0089] Exemplarily, the computer program 63 can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 61 and executed by the processor 62 to complete this invention. The one or more modules / units may be...

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PUM

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Abstract

The invention relates to a method and device for detecting the yield of injection molding products and electronic equipment. The method comprises the steps: obtaining production parameters of an injection molding machine and temperature data and pressure data in an injection mold; preprocesing the production parameters of the injection molding machine and the temperature data and the pressure data in the injection mold; and inputting the preprocessed production parameters of the injection molding machine, the temperature data in the injection mold and the pressure data into the trained deep learning network, and outputting the yield score of the injection molding product through the deep learning network. According to the scheme, the injection molding product yield is scored through the deep learning network, so that the injection molding product can be detected in real time, and bad injection molding products are prevented from entering a subsequent process flow.

Description

technical field [0001] The invention relates to the technical field of product yield rate detection, in particular to a method, device and electronic equipment for detecting the yield rate of injection molding products. Background technique [0002] Due to the mass production of plastic products in factories, the promotion of Industry 4.0 and the arrival of the era of artificial intelligence and big data. In the prior art, real-time monitoring and prediction of good products can greatly improve production efficiency and save manpower. In traditional manufacturing, not only can injection molded products not be measured and inspected in real time, but they usually need to be placed for several hours before manual inspection can be performed. In addition, manual inspection will consume a lot of manpower and time, so injection molded products are usually in the form of random inspection, which can easily lead to bad injection molded products flowing into the subsequent manufact...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00G06Q10/06G06Q50/04G06N3/04G06N3/08
CPCG06T7/0008G06T5/002G06N3/084G06Q10/06395G06Q50/04G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/30108G06N3/045Y02P90/30
Inventor 祝延邓兆鑫黄裕文
Owner FU TAI HUA IND SHENZHEN
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