Online assembly defect identification system and method

A defect identification and defect technology, applied in the field of online assembly defect identification system, can solve problems such as high product defect rate, product or assembly machine tool monitoring, and affecting the machine tool performance in the assembly workshop.

Active Publication Date: 2019-07-05
GUANGDONG UNIV OF PETROCHEMICAL TECH
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Problems solved by technology

With the continuous development and application of unmanned operations and automatic control equipment in intelligent manufacturing and assembly workshops, enterprises have put forward higher requirements for the online collection, analysis, identification and processing of product automation assembly information in intelligent manufacturing and assembly workshops. Due to comprehensive factors such as human error, loss of assembly machine tools, and program bugs, the existing intelligent manufacturing assembly workshops sometimes have assembly defects such as product misassembly and missing assembly. Such assembly defects not only seriously affect the performance of machine tools in the assembly workshop, Moreover, enterprises need to increase the personnel input in the intelligent manufacturing

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  • Online assembly defect identification system and method
  • Online assembly defect identification system and method

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Embodiment approach 1

[0046] Refer to attached figure 1 , the present invention provides an online assembly defect recognition system and method thereof, the system is suitable for intelligent manufacturing workshops and is established based on B / S architecture, and includes several assembly stations 1, lower computer image processing modules 2 and upper computer The server module 3 will be specifically explained below one by one.

[0047] The several assembly stations 1 are interconnected to form a product assembly line, and the product to be tested moves through each assembly station 1 sequentially under the control of the host computer server module 3 to complete the assembly process; and for any assembly station, its side Both position sensors 11 and industrial cameras 12 are arranged vertically, wherein the position sensors 11 and the industrial cameras 12 are connected to the server module of the upper computer through communication, and the position sensors 11 are set at fixed marking points...

Embodiment approach 2

[0066] The present invention further provides an online assembly defect identification system and its method, which adopts the aforementioned online assembly defect identification system of the present invention, and includes the following steps:

[0067] Step 1: In the upper computer server module, build an assembly defect recognition model based on the PSO-SVM algorithm, and input the training sample library images of the assembly stations on the product assembly line for training and learning;

[0068] Step 2: On-site real-time collection of the image of the product to be tested on the assembly station after the assembly process is completed, and the image processing unit of the image processing module of the lower computer performs identification and segmentation, preprocessing, denoising and edge detection of the target area, thereby calculating and obtaining The initial feature set X=[X 1 ,X 2 ,X 3 ,X 4 ] T ;

[0069] Step 3: The upper computer server module adopts ...

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Abstract

The invention provides an online assembly defect identification system and method. the method comprises: through establishing a B/S architecture, establishing a real-time monitoring management systemcomprising a product assembly line, a lower computer image processing module and an upper computer server module; typical assembly defects of each assembly station on a product assembly line are systematically analyzed, and a target area is set for a product image of each assembly station on the basis of a set of fixed image acquisition system, so that the calculation loss of image processing is greatly reduced, and meanwhile, based on a PSO-SVM algorithm, establishing a product manufacturing defect identification model. Through training and learning a training sample library image, the product manufacturing defect identification model can identify the assembly defects on the product assembly line in real time. and the upper computer server module is used for controlling the PLC to carry out real-time maintenance of the assembly defects, so that real-time acquisition, analysis, identification and processing of the assembly information of the intelligent manufacturing workshop are realized, and the problem that the product assembly defects of the intelligent manufacturing workshop are difficult to identify in time is solved.

Description

technical field [0001] The invention belongs to the technical field of intelligent manufacturing, and in particular relates to an on-line assembly defect recognition system and method applied in an intelligent manufacturing workshop. Background technique [0002] With the introduction of Made in China 2025, "Internet +" and intelligent manufacturing engineering, the demand for online collection, analysis, identification and processing of on-site assembly information in intelligent manufacturing assembly workshops is more urgent. With the continuous development and application of unmanned operations and automatic control equipment in intelligent manufacturing and assembly workshops, enterprises have put forward higher requirements for the online collection, analysis, identification and processing of product automation assembly information in intelligent manufacturing and assembly workshops. Due to comprehensive factors such as human error, loss of assembly machine tools, and ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06T7/62G06T7/11G06T5/00G06N3/00
CPCG06T7/0004G06T7/13G06T7/62G06T7/11G06T5/002G06N3/006G06T2207/30108
Inventor 刘美张斐李喜武黄瑞龙
Owner GUANGDONG UNIV OF PETROCHEMICAL TECH
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