Large coal pile excavation point and stockpiling point automatic identification method and device

Abstract

The invention relates to a large coal pile excavation point and stockpiling point automatic identification method comprising the following steps: obtaining point cloud data of a target coal pile, and preprocessing the point cloud data to obtain a denoised point cloud model; trisecting the denoised point cloud model into three areas according to the data length, and storing the three areas respectively; obtaining an area demand needing to be operated, and selecting a corresponding area according to the area demand; obtaining operation strategy selection information, and selecting a corresponding operation strategy according to the operation strategy selection information to process the corresponding region; obtaining and storing the processed three-dimensional information; and importing the processed three-dimensional information into a mechanical arm identification module to realize automatic coal pile identification. According to the method, the process of manually judging an excavation point and a stockpiling point is simulated; extracted excavation points and stockpiling points are high in accuracy, and the efficiency of follow-up operation can be improved; the automation degree of coal mine operation is improved, and the development concept of intelligent manufacturing is met.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a method and device for automatically identifying excavation points and stockpiling points of large coal piles. Background technique [0002] Coal is the core fuel for thermal power plants and one of China's main power supply sources. Plays an important role in the energy field. [0003] In the existing technology, for the excavation and stacking operations of large coal piles, more materials are excavated and stacked by manually controlling the mechanical arm, which has problems such as long time-consuming, low operation precision, and high labor intensity; At the same time, there are many pollution sources around the coal pile, which will affect the health of the operators. [0004] With the continuous maturity of point cloud data technology, its application in different fields is becoming more and more extensive, such as industry, medical treatment, military and so o...

AI Technical Summary

Problems solved by technology

[0007] However, in the existing technology, the related technology of intelligent excavation of coal piles by combining point cloud data technology is still relatively vacant.

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