Research On The Wire Line Assembly Modeling And Control System Based On Image In TV Production Process

With the continuous development of the economy and technology and the continuous improvement of the level of machine vision technology of China,artificial intelligence has had a certain impact on our way of life and work,and the demand for intelligent manufacturing in the industrial field is also growing.It is a major trend of intelligent manufacturing that mature machine vision technology is widely applied to industrial production,which can be realized through machine vision automatic monitoring,real-time positioning,sorting,automatic handling and intelligent assembly of existing workpieces.According to the research,the production of TV is mainly manual assembled,assisted by mechanical equipment.In this paper,the machine vision technology is used to design the intelligent assembly equipment,which realizes the intelligent assembly of TV and improves the assembly efficiency of TV production.The intelligent assembly equipment based on rectangular coordinate structure is designed and the manual mechanical model of adaptive assembly machine is established.According to the characteristics of the Wire line and the requirements of TV assembly industry,the experimental platform of intelligent assembly equipment with rectangular coordinate structure is researched and designed.The design and selection of adaptive assembly manipulator,Cartesian coordinate robot,servo system and machine vision system are carried out,and the manual mechanical model of adaptive assembly manipulator is established.An image matching algorithm integrating SIFT operator and FLANN search is proposed.This paper designs a fixed position installation method of manipulator and camera based on hand eye system to guide the position of manipulator by machine vision system.The vision system is designed and selected.The camera is calibrated by using the internal and external parameters of the camera to eliminate lens distortion.The position of the manipulator and the camera is calibrated to determine the pose relationship between the manipulator and the camera.Through research and comparative analysis,an image matching algorithm integrating SIFT operator and FLANN search is determined,and the image homography matrix is solved by this algorithm.The iterative control method of trajectory tracking based on homography matrix is studied.According to the requirements of the Wire line image recognition and intelligent assembly,the iterative control scheme of trajectory tracking based on homography matrix is determined.Through research and analysis,the improved variable gain feedback D-type iterative learning control algorithm is determined.The matching algorithm based on SIFT operator and FLANN search is used to extract image features,and the homography matrix of the image is obtained.The method of homography matrix iteration of image realizes the track tracking of the desired track,obtains the accurate position of the station,completes the intelligent insertion of the Wire line,and improves the assembly accuracy of the Wire line.Build the intelligent assembly experimental platform.Qt software is used to write the upper computer interface,the image processing algorithm based on Open CV and Python is imported,the communication between the upper computer operating system and PLC is realized through TCP / IP protocol,the PLC control program is completed,and the feasibility of the scheme is verified through intelligent assembly experiment.