Coal and rock identification method based on laser scanning

Abstract

The invention relates to a coal and rock identification method based on laser scanning. The reflectivity of the coal surface to scanning laser beams from different distances and the reflectivity of the rock surface to scanning laser beams from different distances are measured through the laser scanning technology respectively, and the three-dimensional morphology information of the surfaces of a coal sample and a rock sample scanned by lasers is acquired in real time; the changing relation between the distance and the reflectivity of laser scanning of standard coal and standard rock is established, and reflectivity correction coefficients corresponding to different surface three-dimensional morphologies of the standard coal and the standard rock from different distances are determined; a characteristic database for the distance and reflectivity of laser scanning corresponding to the standard coal and the standard rock with different surface three-dimensional morphologies is established, while on-site coal and rock objects are identified, the actually measured characteristic values of the surfaces of the coal and rock objects are compared with the coal and rock standard characteristic data measured earlier, and thus the coal and rock type can be identified fast in real time. The method has the advantages of being simple, high in calculation speed, automation degree and accuracy rate and suitable for identifying the coal and rock types in complex environments.

Description

technical field [0001] The invention relates to a method for identifying coal rocks, in particular to an automatic identification method for coal rocks based on laser scanning. Background technique [0002] Coal rock identification can enable the shearer to have the ability to automatically track coal rocks. A reliable coal rock identification method has outstanding advantages in both economic benefits and safe operations. It can improve the recovery rate of coal seams and reduce gangue, Ash and sulfur content. Improve the efficiency of coal mining operations, reduce equipment wear, reduce equipment maintenance and downtime, and reduce the content of rock dust in the air. In the process of coal production, coal rock identification technology can be widely used in coal mining, tunneling, raw coal selection and other production links, which can keep mining operators away from dangerous working faces, and is one of the key technologies to realize coal mining automation. [00...

AI Technical Summary

Problems solved by technology

[0003] Research on coal-rock identification abroad began in the 1950s. Researchers from various countries put forward various reasonable ideas for coal-rock identification, but most of them have no practical value. At the same time, due to various reasons such as the complexity of geological conditions, leading to The scope of use of some coal rock identification methods is severely limited

[0004] At present, the existing coal rock identification methods still have the following problems: the gamma ray method has certain requirements for the coal mining process, that is, the top coal must be left with a certain thickness, which reduces the recovery rate, and the surrounding rock of the roof and floor must be radioactive. element, which greatly limits its application

The radar detection method is a technology based on electromagnetic wave transmission. The thickness of the electromagnetic wave penetrating the top coal is related to the wavelength. The longer the wavelength, the deeper the penetration, and the longer the wavelength, the lower the measurement resolution. There is a contradiction between the measurement range and measurement accuracy. It is difficult to solve it completely, and the method has not yet reached the practical stage

Coal and rock identification methods such as current analysis method, sound detection method, and dust detection method are severely limited due to factors such as complex force, severe vibration, severe wear, and large dust in the production process of coal mining equipment.

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