Abstract
The conveyor belt deviation occurs frequently, and it will finally lead to an accident, so its detection has triggered skyrocketing attention from both industry and academia. In this paper, an adaptive segmentation model and a belt offset quantification model are established for continuous online detection of the conveyor belt deviation status. The results show that the degree of the conveyor belt deviation can be quantitatively calculated and its deviation status can be objectively evaluated. This technology has opened the path for a new way to on-line continuously detect the conveyor belt deviation.
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