Research And Development Of Cable Winding System Based On Machine Vision

With the development of wire and cable industry,the technology of cable winding has been widely studied.However,due to the influence of the manufacturing error of the cable and the internal stress between the cables,many unexpected situations will often interfere with the wire receiving during the process of line arrangement.In actual production,enterprises often use manual winding to complete the winding task of cables.But the efficiency of manual winding is low,and the detection process also has some subjectivity and randomness.And because of the particularity of the work,there are difficulties in the recruitment of workers.Therefore,it is necessary to study an intelligent winding system with both yield and quality and low cost in the winding scene of cable.The specific research contents of this paper are as follows:(1)The paper summarizes and analyzes the related problems and the research status at home and abroad.The paper summarizes the winding situation of the cable from the aspects of the collection target and the actual situation of the winding detection.The cable needs to be tested without contact during winding.Machine vision detection technology is introduced into the process of cable winding detection as a detection method,and the research status of machine vision detection technology is summarized.(2)The special situation of cable in the winding process is modeled and analyzed.The mathematical model of the winding process of the cable is carried out to verify the necessity of the overlap,gap and edge problem under the existing winding conditions.The paper introduces the winding detection and motor control into the automatic winding system,and proposes a new solution of cable winding.(3)The mathematical model of the lag angle of the winding is established and the relevant algorithm is studied to complete the detection.The mechanism of lag angle is analyzed,and the repair of edge condition is completed by the compensation of lag angle.The fast lag angle detection algorithm is proposed to detect the lag angle,and the real-time and accuracy of the algorithm are verified by the relevant experiments.(4)The machine vision method based on deep learning is applied to the detection of cable winding state.The camera is used to collect a large number of cable winding pictures to form a data set,and the neural network model is built and trained to classify the winding situation.Design related experiments to explore the reliability of the method.Combined with the detection results of winding lag angle,two schemes are proposed to optimize the neural network,and the feasibility of the optimization scheme is proved by relevant experiments.(5)This paper studies the winding control algorithm and applies it to the winding control process to complete the construction of intelligent winding experimental platform.The fuzzy control is applied to the control part of the line arrangement mechanism,and the state to the edge and the non-edge state are separated as two different motion processes.The hardware of the intelligent winding system,such as camera,lens,motor and synchronous guide rail,is selected,and the winding experiment platform is built.