A method and device for generating an intelligent mining prediction cutting line in a coal mine mining face

Abstract

The invention discloses a method and device for generating an intelligent mining prediction cutting secant of a coal mine stoping working face. The method includes the steps of obtaining a dynamicallymodified high-precision transparent three-dimensional geological model of a stoping working face coal seam based on a unified coordinate system; obtaining actual cutting secant data of coal cutting top and bottom for the previous cut and converting the actual cutting secant data into data based on the unified coordinate system; generating N*(M+1) grid lattice data of a coal seam roof and a coal seam floor for future N cuts; optimizing and calculating the height adjustment values of a front roller and a rear roller of a coal mining machine for future N cuts; calculating and obtaining top and bottom prediction cutting secants of the coal mining machine for the next cut according to the actual cutting secant data of the coal cutting top and bottom for the previous cut and the height adjustment values of the front roller and the rear roller of the coal mining machine for the next cut; and restricting the coal mining machine to complete automatic coal cutting with one cut according to theprediction cutting secant for the next cut and repeating the previous steps. The dynamic correlation between the actual cutting secant for the previous cut and the spatial form changes of the coal seam for future N cuts is realized, and a better prediction cutting secant computing method is provided.

Description

technical field [0001] The invention relates to the technical field of coal mine intelligent mining, in particular to a method and a device for generating an intelligent mining prediction cutting line in a coal mining working face. Background technique [0002] In consideration of energy security and diversified development, coal is still one of the most important basic energy sources in the world. With the development of Internet of Things technology and the deepening of the people-oriented concept, healthy, green and intelligent mining has become the mainstream trend of the current coal industry. The development of intelligent mining technology in coal mines will make the coal mine fully mechanized mining face less or even unmanned. This will not only greatly improve the production efficiency of coal mining enterprises, but also greatly reduce the probability of safety accidents. Enjoy the dividends of technological development. However, issues such as precise positionin...

AI Technical Summary

Problems solved by technology

Memory cutting coal is to constrain the operation of the current shearer by remembering the operation data of the last shearer. If the space shape of the coal seam of the current knife changes compared with the previous one, it needs to be manually adjusted to update the memory. Therefore, the memory coal cutting method lacks the prediction of the spatial shape of the coal seam in front of the shearer in the current mining face; while the adaptive cutting method of the shearer based on virtual trajectory control uses the coal seam roof and floor line of the current mining face to constrain The operation path of the shearer, this method only considers the constraints of the coal seam roof and floor line of the current mining face on the shearer's operating path, and does not consider the relationship between the actual cutting line at the top of the last coal cutting and the coal seam roof and floor line of the current mining face , and did not consider the changes in the future N-knife coal seam spatial form generated by the high-precision transparent 3D dynamic geological model of the coal seam based on the dynamic correction of the latest production information, which greatly limits the practicability of the current intelligent coal cutting technology

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