Online assembly defect identification system and method

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 ...

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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 assembly workshop and carry out manual inspection, which is contrary to the development concept of intelligent manufacturing, thus hindering the further application of intelligent manufacturing technology in the actual assembly workshop;

[0003] At the same time, in the existing intelligent manufacturing assembly workshop, there is no effective monitoring of products or assembly machine tools in the assembly process, and there is also a lack of online collection and analysis of product assembly information, such as assembly process information, product quality information, equipment information, energy Efficiency information, etc., resulting in the existing intelligent manufacturing and assembly workshops, which are prone to problems such as high product defect rate and lack of scientific management

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