Abstract
Conveyor belts are key pieces of equipment for bulk material transport, and they are of great significance to ensure safe operation. With the development of belt conveyors in the direction of long distances, large volumes, high speeds, and high reliability, the use of inspection robots to perform full inspections of belt conveyors has not only improved the efficiency and scope of the inspections but has also eliminated the dependence of the traditional method on the density of sensor arrangement. In this paper, relying on the wireless-power-supply orbital inspection robot independently developed by the laboratory, aimed at the problem of the deviation of the belt conveyor, the methods for the diagnosis of the deviation of the conveyor belt and FPGA (field-programmable gate array) parallel computing technology are studied. Based on the traditional LSD (line segment detection) algorithm, a straight-line extraction IP core, suitable for an FPGA computing platform, was constructed. This new hardware linear detection algorithm improves the real-time performance and flexibility of the belt conveyor diagnosis mechanism.
Highlights
Algorithms 2021, 14, 284. https://The belt conveyor is a piece of continuous transportation equipment with a conveyor belt; it is seen as a carrying and traction mechanism
Based on previous research and relying on a wireless-power-supply inspection robot mobile platform, this paper combines this platform with FPGA, which has the two obvious advantages of powerful parallel computing and flexible configuration, to meet the needs of conveyor belt deviation fault diagnosis
In this paper, based on the line segment detector (LSD) algorithm, a line segment detection algorithm IP core suitable for an FPGA platform is constructed for the needs of the conveyor belt deviation fault diagnosis
Summary
The belt conveyor is a piece of continuous transportation equipment with a conveyor belt; it is seen as a carrying and traction mechanism. In existing line segment detection algorithms, due to the perfect Hough transform theory and its stable performance on low-texture images, the algorithm based on this theory has been a standard line segment detection method for many years It is widely used in belt deviation detection [4,5,6,7]. Based on previous research and relying on a wireless-power-supply inspection robot mobile platform, this paper combines this platform with FPGA, which has the two obvious advantages of powerful parallel computing and flexible configuration, to meet the needs of conveyor belt deviation fault diagnosis This new method improves the traditional LSD algorithm and can develop a low-latency and high-precision line detection algorithm IP core. This is to ensure the safe operation of the belt conveyor
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