基于机器视觉的在线高速检测与精确控制研究及应用
[Abstract]:Machine vision detection is a new detection technology based on computer vision and image processing. Through image processing, it can obtain all kinds of description parameters of the object being measured and understand and judge the parameters. It is finally applied to actual detection, measurement and control. It has non contact, high precision, wide range of application and self. Because the machine vision on-line detection equipment is installed on the production line, the detection speed must keep high synchronization with the high speed production line. The key technology to realize its synchronization is the precise control of camera photography and the high speed detection of the image. The rapid detection of images and the development and development of intelligent online detection equipment for independent intellectual property are of great significance to the theoretical exploration and innovation of high speed vision detection and the urgent needs of the current domestic market of intelligent manufacturing industry.
This paper focuses on the key technology to realize the on-line inspection of machine vision, and studies the high-speed and accurate control of machine vision and the high speed detection of the image. The feasible design scheme is given with the online detection of the crown cap. The main work is summarized as follows:
First, the structure of the machine vision on-line detection system based on the two layer network control theory is proposed, which provides a new research idea and direction for the realization of the high-speed machine vision on-line detection. The image processing task is placed in the high-level processing unit, and the system control is placed in the local control unit. The tasks of each unit are respectively processed according to the needs. The corresponding processor is used to solve the problem that the processor is overloaded when the signal is centralized. At the same time, each subsystem is designed by modularization, which is easy to install, debug, maintain and expand.
Secondly, a high speed and accurate control method based on iterative learning control and Calman filter is proposed, which realizes the accurate capture of the high speed moving workpiece image under the limited position of the camera, and solves the difficult problem of the high quality and precision acquisition of the workpiece image in the complex scene environment. The camera control model is combined with the Kalman filter, and the convergence and convergence range of the model are theoretically deduced and analyzed. Numerical simulation and practical experimental results are given.
Third, the image edge search strategy based on the local energy discrete path level set method is proposed. The narrow band level set search is reduced to the line search of the limited number of narrow bands in the narrow band, which greatly reduces the amount of data in the edge search. Error caused by uneven illumination.
Fourth, the rotation invariant feature of the circular region projection histogram is proposed, and the 2D matching data is converted into 1D data. The matching efficiency is improved and the precondition for high-speed detection is provided. At the same time, the strategy of using sparse representation to carry out the rotation matching and defect detection of the image is put forward. The strategy adopts the study of the standard sample before executing the real-time detection. The establishment of standard data dictionary reduces the amount of computation in the detection process and shortens the detection time. It is the key to achieve real-time high-speed online detection.
Fifth, the visual inspection experiment platform of the simulated production line is designed and built, and the performance of the on-line visual inspection is tested by adjusting the related parameters of the experimental platform, and the simulation and test of the high speed vision detection in the laboratory are realized.
Finally, the online inspection system for the crown bottle cap for actual production is developed, and the actual test is installed on the production site to realize the on-line test of the crown bottle cap of 2600 / minute. The test results are given in the paper. The system has reached the requirement of the high speed on-line detection of the crown bottle cap through the trial operation of 10 months. The feasibility and effectiveness of the theoretical research results.
The research results in this paper are not only limited to the on-line detection of crown caps, but also can be extended to other products for on-line detection.
【学位授予单位】:上海大学
【学位级别】:博士
【学位授予年份】:2014
【分类号】:TP391.41
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