Conveyor is one of the main equipment for coal production and transportation. Due to impact fatigue, uneven surface stress of conveyor belt and other external factors, deviation will occur, leading to material overflow and damage to transportation equipment. Therefore, it is of great significance to detect the deviation status of the conveyor belt quickly and timely to ensure the safe and efficient operation of the transportation system. This paper presents an automatic detection method of belt deviation based on DeeplabV3+, which can detect the deviation of any position of belt conveyor. We have established a new belt edge dataset under real working conditions. In order to improve the deviation detection accuracy, we expand and erode the image after feature extraction, extract the centerline, and finally detect the deviation distance through the deviation detection module. Experiments show that this method can well balance the detection accuracy and detection speed. The processing speed of a single image is 0.32 s, and the conveyor belt edge detection error is less than 6mm, this method has good real-time performance and high precision, and can be applied to the production scene of underground coal mine.
Belt conveyor is one of the main transportation equipment in coal mine. The belt is easy to tear in production. If the tear damage of belt surface cannot be detected in time, it may lead to serious production accidents. In this paper, a belt tear detection method based on industrial camera monitoring is proposed, which can identify the belt tear in time and output the quantitative evaluation result. After filtering the image, Canny edge detection algorithm is used to identify the tear region. A sliding window is used to evaluate the degree of damage area and further determine the control of belt conveyor. Experiments show that the average processing time of a single frame image is 0.4s, which can meet the needs of real-time detection in the production.
The classic Denisyuk recording method is commonly used to reproduce three-dimensional (3D) image of volume holography, but its diffraction efficiency is low, and white light irradiation is required to obtain high-brightness reproduced image. Aiming at the above problem, the diffraction characteristics of transmissive and reflective volume holographic gratings are analyzed by Kogelnik’s coupled wave theory. A two-step volume holographic recording method is proposed. Firstly, the transmissive volume hologram is recorded and then the reconstructed image is transferred to the reflective volume hologram. Finally, through this method, the brightness and field of view of the reproduced image are improved, and a clear and bright 3D image can be observed under natural light.
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