Metallurgy reservoir area local three-dimensional reconstruction method and system based on binocular vision

Abstract

The invention provides a metallurgical reservoir area local three-dimensional reconstruction method and system based on binocular vision, and relates to the technical field of three-dimensional reconstruction, and the method comprises the steps: obtaining original image data in an original image request through a binocular camera when the original image request is received; determining camera coordinate data of the to-be-detected object through the original image data and the binocular camera calibration parameters; and determining crown block coordinate data of the to-be-detected object through the camera coordinate data of the to-be-detected object, and sending the crown block coordinate data to a crown block terminal. According to the invention, the binocular vision technology capable of well obtaining depth information is introduced, so that the three-dimensional information of the target object can be relatively accurately obtained, and meanwhile, the binocular vision system is relatively low in cost, convenient to debug and relatively stable in positioning time, and can be suitable for three-dimensional information detection of various target objects; the crown block control system can widely achieve intelligent loading and unloading work, and the logistics transportation efficiency in a metallurgical reservoir area is improved.

Description

technical field [0001] The invention relates to the technical field of three-dimensional reconstruction, in particular to a local three-dimensional reconstruction method and system of a metallurgical storage area based on binocular vision. Background technique [0002] At present, the positioning of the crane in the unmanned sky garage area mainly depends on the gray bus measuring device, and the current crane position is obtained by implementing the feedback callback system through PLC during the movement of the crane. However, this method cannot accurately obtain the azimuth and angle of the target, and the error is also large, which cannot meet the real-time requirements for high positioning accuracy, and is not conducive to the general realization of intelligent loading and unloading work of the crane control system . Therefore, there is an urgent need for an efficient and fast local 3D reconstruction method for the metallurgical reservoir area. Contents of the invent...

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Problems solved by technology

[0003] In order to solve the problem that the above-mentioned existing technologies cannot meet the real-time requirements for high positioning accuracy, the embodiment of the present invention provides a local three-dimensional reconstruction method and system for the metallurgical storage area based on binocular vision

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