Whole-domain intelligent coal caving and coal quantity overload alarm method

Abstract

The invention discloses a whole-domain intelligent coal caving and coal quantity overload alarm method. The method comprises the following steps of establishing a coal caving software operation program at a fully mechanized caving face crossheading centralized control center, sending a coal caving command to a bracket electric hydraulic control host through a coal caving host of an underground centralized control center, and after the bracket electric hydraulic control host receives the command, controlling the bracket to execute a coal caving program, so as to realize full-working-face automatic coal caving through staged experiment OPC instructions, and based on the command issuing and execution condition of a electro-hydraulic control program, the automatic coal caving program execution condition of a single bracket and the automatic coal caving execution condition in a selected area according to a coal caving process. A voice alarm device is arranged in a Becker system of the crossheading centralized control center, and the Becker voice alarm device is started when it is monitored that a current of a rear scraper conveyor exceeds a rated value. The coal caving device reduces the labor intensity of coal caving workers, and meanwhile the top coal recovery rate of a fully mechanized caving face is increased.

Description

technical field [0001] The invention relates to the technical field of intelligent automatic coal discharge in coal mines, in particular to a global intelligent coal discharge and coal overload alarm method. Background technique [0002] In the production process of fully mechanized caving working faces in extra thick coal seams, top coal caving is the main production process, and the output of the working face is mainly coal caving. Therefore, during the entire coal mining cycle, coal caving workers play an important role. In the production process, especially in the long-term production process of the night shift, the human biological clock is disrupted, and fatigue will inevitably occur. This will cause uneven coal discharge by coal workers, and large pieces of gangue will easily enter the rear scraper conveyor, resulting in light load, overload, or equipment damage accidents on the rear scraper conveyor. During the process of handling equipment damage accidents, the ope...

AI Technical Summary

Problems solved by technology

Manual coal caving cannot accurately control the amount of top coal released from each support, and cannot make the top coal sink and discharge evenly, resulting in a waste of departmental coal resources

In addition, the uneven discharge of the top coal will also cause the support strength of each support to the roof to be different, resulting in uneven stress on the roof, prone to roof breakage, and roof leakage accidents

[0004] At present, in the field of automatic coal discharge in fully mechanized caving faces, coal gangue recognition, sound recognition, and image recognition are mainly used as key technologies for automatic coal discharge at home and abroad. Restricted by on-site factors, breakthroughs in key technical bottlenecks such as gangue recognition, voice recognition, and image recognition have not been achieved

[0005] In terms of automatic coal discharge, if the automatic coal discharge is performed simply by adjusting the time parameters of the bracket electro-hydraulic control host, not only the monitoring of the rear scraper conveyor cannot be realized, but also it is easy to cause accidents such as uneven coal discharge, overload, equipment damage, etc. Therefore, it is necessary to research and develop coal-drawing software for guiding top-coal discharge

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