The invention provides a bucket wheel
machine material taking method and device based on
image processing, equipment and a medium, and relates to the technical field of
engineering control, and the method comprises the steps: carrying out the stereoscopic vision construction of an image in material
pile image information according to a
deep learning network, and obtaining a material
pile three-dimensional model; a dynamic environment model is constructed based on the material
pile three-dimensional model and the material pile dynamic change parameters, track planning is conducted on the initial position of the bucket wheel
machine through the
reinforcement learning technology, and the walking track of the bucket wheel
machine is obtained; according to the walking track of the bucket wheel machine, the segmentation information in the material pile image information and the layering height in the material pile three-dimensional model, motion
state prediction is conducted, and the rotation track of the bucket wheel machine around a
cantilever is obtained; construction is carried out according to the walking track of the bucket wheel and the rotation track of the bucket wheel machine around the
cantilever, and a material taking scheme is obtained by combining evaluation and optimization of historical material taking data,
material type characteristics and stacking stability. The problems that the material taking efficiency is low, part of stacked materials are omitted or the materials cannot be effectively taken at all are solved.