Detection system and method of structural adhesive based on machine vision

Abstract

The invention discloses a detection system of a structural adhesive based on machine vision. The system is provided with a prism used for refracting and reflecting an adhesive surface; a refracting surface of the prism is fixed on a lens of a camera; the camera is configured to output an acquired image signal to a PLC (programmable logic controller) IPC (industrial personal computer); the PLC IPCis provided with a processor used for processing an image, a storage used for storing the image and a displayer used for displaying a result; the camera is configured to output the image signal to theprocessor; the processor is configured to output the image signal and a result signal to the storage for storing; the processor is configured to output the result signal to the displayer. The systemhas the advantages that defect parts can be quickly and accurately detected, and an airplane cabin door with a defect area being more than an allowable defect area is reprocessed; defect positions andsizes can be displayed in real time in an image processing process, so that the defect parts can be positioned conveniently by workers for secondary processing.

Description

technical field [0001] The invention relates to the field of defect detection of aircraft cabin door structure glue. Background technique [0002] When inspecting the quality of the adhesive glue for the aircraft door, it is necessary to manually hold a prism to inspect and analyze the adhesive quality of the glass of the aircraft door with naked eyes. When using the naked eye to detect the quality of the adhesive glue for the glass of the aircraft door, it is not only inefficient, time-consuming and labor-intensive, Moreover, the long-term inspection work will make the staff tired, and it is more prone to missed inspections and wrong inspections, and when there are adhesive defects, it cannot be stored and analyzed. Contents of the invention [0003] The technical problem to be solved by the present invention is to realize a system that can quickly and reliably detect the quality of the adhesive glue for the aircraft cabin door. [0004] In order to achieve the above obj...

AI Technical Summary

Problems solved by technology

[0002] When inspecting the quality of the adhesive glue for the aircraft door, it is necessary to manually hold a prism to inspect and analyze the adhesive quality of the glass of the aircraft door with naked eyes. When using the naked eye to detect the quality of the adhesive glue for the glass of the aircraft door, it is not only inefficient, time-consuming and labor-intensive, Moreover, the long-term inspection work will make the staff tired, and it is more prone to missed inspections and wrong inspections, and when there are adhesive defects, it cannot be stored and analyzed

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