Dynamic time delay adjusting device and method for unginned cotton foreign fiber sorting system

Abstract

The invention discloses a dynamic time delay adjusting device and method for unginned cotton foreign fiber sorting system. The device comprises a first linear array CCD camera, a second linear array CCD camera, a cotton falling cavity, a gas spray valve, a spray valve driver and an embedded type FPGA image processor; the first linear array CCD camera and the second linear array CCD camera are positioned at two sides of the cotton falling cavity with vertical height difference h existing between the two cameras, images of unginned cotton lumps falling in the cotton falling cavity are collected, the first linear array CCD camera and the second linear array CCD camera are connected with the embedded type FPGA image processor via CameraLink wire cables, the spray valve driver is connected with the embedded type FPGA image processor via a difference signal wire cable, and the gas spray valve is connected with the spray valve driver. According to the dynamic adjusting device and method, the embedded type FPGA image processor is used for image processing operation and feature matching operation, unginned cotton flow falling speed can be accurately measured and calculated, foreign fiber striking time delay of the unginned cotton foreign fiber sorting system can be dynamically adjusted, and accuracy of the unginned cotton foreign fiber sorting system can be improved.

Description

technical field [0001] The invention belongs to the field of industrial detection of machine vision, and in particular relates to a device and method for dynamically adjusting delay time of a seed cotton foreign fiber sorting system. Background technique [0002] At present, cotton foreign fiber sorting generally uses airflow provided by the fan to bring the cotton down, and the wind speed of the fan is used to estimate the falling speed of the cotton, and then set the strike delay time of the spray valve according to the distance between the identification module and the spray valve. However, the speed of the cotton flow is generally lower than the wind speed, and due to the difference in the size, quality and air resistance of the cotton balls, the speed of the cotton flow is also inconsistent. Therefore, the dynamic measurement of cotton flow velocity is a crucial factor and guarantee to ensure the quality and accuracy of cotton foreign fiber sorting. [0003] At present...

AI Technical Summary

Problems solved by technology

But there are many shortcomings and deficiencies in this method: 1. The timing accuracy of the PC is not high, and the timing accuracy of a normal PC can only reach the millisecond level. In the cotton foreign fiber sorting industry, the height difference between the two cameras It is very small, and the time for cotton to pass through the two cameras is only about ten milliseconds, and the error is too large; 2. This method does not guarantee that the two cameras will be triggered at the same time. If the two cameras cannot be triggered at the same time, the two cameras cannot be at the same time. A time reference cannot guarantee the calculation accuracy of the falling time; 3. Dividing the cotton flow image into several small sub-images will inevitably cause the cotton data information at the edge of the image to be lost, and the same cotton may not be found, resulting in speed measurement Unable to complete or large errors

Images