Research on a system for the diagnosis and localization of conveyor belt deviations in belt conveyors

Abstract

To address the shortcomings of existing conveyor belt deviation detection methods, such as the small detection range and slow detection speed, a method that utilizes machine vision technology to detect belt deviations in belt conveyors is proposed. A track-type inspection robot was used to collect real-time running images of a conveyor belt; Wiener filtering was carried out, grayscale pro-cessing was used, Canny edge detection and the Hough transform operation were used to extract the straight lines of the edges of the conveyor belt, and the offset from the straight lines of the conveyor belt under normal running conditions was calculated. To address the cumulative error problem caused by the long time and long distance in the process of locating the wheel odometer, a joint lo-calization technology that used radio frequency identification (RFID) and a wheel odometer was proposed, and the error correction was carried out for a rotary encoder by using the RFID technology. The experimental results demonstrate that the detection method achieved a detection accuracy of over 90% with a detection speed of up to 40 frames per second (FPS). This method enables the fast and precise identification of conveyor belt deviations, and it satisfies the requirements for real-time detection for belt conveyors. The location accuracy of the localization system that combined RFID and a wheel odometer was able to reach the centimeter level, and the system could accurately locate the positions of belt deviations. This is of vital significance for ensuring safety and efficiency in pro-duction by enterprises.

Adaptive conveyor belt edge detection algorithm with enhanced robustness

“…Wang, T. [7] utilized machine vision to design a three-level correction device for mine conveyors, using image detection to replace traditional contact deviation sensors, which can effectively detect failures and control correction. Wu, L. [8] addressed the issue of cumulative errors over long distances and time periods in wheel odometer positioning by utilizing a technology that uses Radio Frequency Identification (RFID) with wheel odometers for joint positioning. RFID technology is used for error correction of the rotary encoder, and the positioning system achieves centimeter-level accuracy, enabling precise localization of belt deviations.…”