CN-121976798-A - Mining method based on double-drum coal mining machine, control system and related equipment

CN121976798ACN 121976798 ACN121976798 ACN 121976798ACN-121976798-A

Abstract

The application discloses a mining method, a control system and related equipment based on a double-drum coal mining machine, wherein the scheme comprises the following steps of responding to a triggering operation to generate an intelligent cutting instruction and controlling the double-drum coal mining machine to execute intelligent cutting; and a memory cutting mode, namely responding to the triggering operation, generating a memory cutting instruction, acquiring working condition characteristic data, calling an adaptive coal mining path model related to the working condition characteristic data, and controlling the double-drum coal mining machine to execute memory cutting. Therefore, the mining method comprises an intelligent cutting mode and a memory cutting mode, the double-drum coal cutter can automatically perform cutting operation in the cutting mode, and the corresponding self-adaptive coal mining path model can be selected to perform cutting operation in the memory cutting mode, so that the corresponding cutting mode can be selected as required without remote control, and the operation difficulty is reduced.

Inventors

Xin Tongshuai
LI CHUNYANG
ZHANG DINGTANG
PANG YONGGANG
YANG WENMING
LI GUANGLIANG
ZHANG JIYE
HUANG SHENGYING
WANG JIANJUN
ZHANG ZHENGWEI

Assignees

中创智领(郑州)工业技术集团股份有限公司
郑州煤矿机械集团有限责任公司

Dates

Publication Date: 20260505
Application Date: 20250703

Claims (10)

1. A mining method based on a double-drum shearer, which is characterized by comprising the following steps: An intelligent cutting mode, namely responding to the triggering operation, generating an intelligent cutting instruction, and controlling the double-drum shearer to execute intelligent cutting; and a memory cutting mode, namely responding to the triggering operation, generating a memory cutting instruction, acquiring working condition characteristic data, calling an adaptive coal mining path model related to the working condition characteristic data, and controlling the double-drum coal mining machine to execute memory cutting.
2. The method of claim 1, wherein in the smart cut mode, the method comprises: scanning the profile of the coal rock to obtain the fluctuation characteristic information of the section; calculating cutting parameter information according to the fluctuation characteristic information of the section, wherein the cutting parameter information comprises cutting depth, cutting height and cutting path; And the double-drum coal cutter performs intelligent cutting according to the cutting parameter information obtained by calculation.
3. The method of claim 1, wherein in the smart cut mode, the method further comprises: Acquiring the front-side distance between the front and back sides of the machine body of the double-drum coal mining machine and the machine body front side distance and the rear side distance of the machine body of the coal wall; Under the condition that the distance of the front side of the machine body is larger than that of the rear side of the machine body, the speed of the second side crawler belt is adjusted to be smaller than that of the first side crawler belt; And adjusting the second side track speed to be greater than the first side track speed in the case that the front side distance of the machine body is smaller than the rear side distance of the machine body.
4. The method of claim 1, wherein in the smart cut mode, the method further comprises: Acquiring the inclination angle of the machine body of the double-drum coal mining machine; Acquiring the lifting height of a cutting drum of a double-drum coal cutter; Automatically performing redundant calculation on the inclination angle and the lifting height, and superposing the inclination angle of the machine body and the position angle of the rocker arm to obtain a target height; and adjusting the cutting drum to the target height.
5. The method of claim 1, wherein in the memory cut mode, the method further comprises: In the manual operation process of the double-drum coal mining machine, the operation parameters of the double-drum coal mining machine are collected and processed in real time, and the reusable self-adaptive coal mining path model is generated; And storing the self-adaptive coal mining path model and associated working condition characteristic data.
6. The method of claim 1, wherein in the memory cut mode, the method further comprises: Establishing a mapping database of working condition characteristic data and a self-adaptive coal mining path model; automatically selecting a historical model with the coincidence degree of more than 90% with real-time detection data through a similarity matching algorithm; When the matching fails, a memory cut is triggered to generate a new model and the database is updated.
7. A dual drum shearer-based mining control system, comprising: The man-machine interaction module is configured to respond to the triggering operation and generate an intelligent cutting instruction or a memory cutting instruction; A controller configured to control the twin drum shearer to perform the method of any one of claims 1 to 6 in accordance with the intelligent cutting instructions or the memory cutting instructions.
8. The mining control system of claim 7, further comprising a laser scanner for scanning the profile of the coal and rock to obtain the relief characteristic information of the section, an ultrasonic ranging sensor for obtaining the forward and backward distances of the main body of the twin drum shearer from the forward side of the main body of the coal wall and the backward side of the main body, and an inclination sensor.
9.A twin drum shearer incorporating the mining control system of claim 7 or 8.
10. A computer readable storage medium storing a computer program, characterized in that the program, when executed by a processor, implements the method of any one of claims 1-6.

Description

Mining method based on double-drum coal mining machine, control system and related equipment Technical Field The application relates to the technical field of coal mining, in particular to a mining method based on a double-drum coal mining machine, a control system and related equipment. Background Currently, a double-drum shearer requires remote control by an operator to mine, and is difficult to operate. Therefore, how to reduce the operation difficulty of the double-drum shearer becomes a technical problem to be solved by those skilled in the art. Disclosure of Invention The application provides a double-drum coal mining machine, which is used for reducing the operation difficulty of the double-drum coal mining machine. In order to achieve the above purpose, the present application discloses the following technical solutions: In a first aspect, the present application provides a mining method based on a twin drum shearer, comprising the steps of: An intelligent cutting mode, namely responding to the triggering operation, generating an intelligent cutting instruction, and controlling the double-drum shearer to execute intelligent cutting; and a memory cutting mode, namely responding to the triggering operation, generating a memory cutting instruction, acquiring working condition characteristic data, calling an adaptive coal mining path model related to the working condition characteristic data, and controlling the double-drum coal mining machine to execute memory cutting. Therefore, the mining method comprises an intelligent cutting mode and a memory cutting mode, the double-drum coal cutter can automatically perform cutting operation in the cutting mode, and the corresponding self-adaptive coal mining path model can be selected to perform cutting operation in the memory cutting mode, so that the corresponding cutting mode can be selected as required without remote control, and the operation difficulty is reduced. In some embodiments, in the smart cut mode, the method includes: scanning the profile of the coal rock to obtain the fluctuation characteristic information of the section; calculating cutting parameter information according to the fluctuation characteristic information of the section, wherein the cutting parameter information comprises cutting depth, cutting height and cutting path; And the double-drum coal cutter performs intelligent cutting according to the cutting parameter information obtained by calculation. In some embodiments, in the smart cut mode, the method further comprises: Acquiring the front-side distance between the front and back sides of the machine body of the double-drum coal mining machine and the machine body front side distance and the rear side distance of the machine body of the coal wall; Under the condition that the distance of the front side of the machine body is larger than that of the rear side of the machine body, the speed of the second side crawler belt is adjusted to be smaller than that of the first side crawler belt; And adjusting the second side track speed to be greater than the first side track speed in the case that the front side distance of the machine body is smaller than the rear side distance of the machine body. In some embodiments, in the smart cut mode, the method further comprises: Acquiring the inclination angle of the machine body of the double-drum coal mining machine; Acquiring the lifting height of a cutting drum of a double-drum coal cutter; Automatically performing redundant calculation on the inclination angle and the lifting height, and superposing the inclination angle of the machine body and the position angle of the rocker arm to obtain a target height; and adjusting the cutting drum to the target height. In some embodiments, in the memory cut mode, the method further comprises: In the manual operation process of the double-drum coal mining machine, the operation parameters of the double-drum coal mining machine are collected and processed in real time, and the reusable self-adaptive coal mining path model is generated; And storing the self-adaptive coal mining path model and associated working condition characteristic data. In some embodiments, in the memory cut mode, the method further comprises: Establishing a mapping database of working condition characteristic data and a self-adaptive coal mining path model; automatically selecting a historical model with the coincidence degree of more than 90% with real-time detection data through a similarity matching algorithm; When the matching fails, a memory cut is triggered to generate a new model and the database is updated. In a second aspect, the present application provides a dual shearer-based mining control system comprising: The man-machine interaction module is configured to respond to the triggering operation and generate an intelligent cutting instruction or a memory cutting instruction; A controller configured to control the twin drum shearer to perform any one of the methods des