A control method, device, equipment and medium of an excavating system
By collecting and analyzing visual and vibration data of coal and rock stockpiles, and combining them with machine learning models to predict excavation risks, the control strategy of electric shovels is dynamically adjusted, solving the problem of equipment damage caused by impact and vibration under complex working conditions, and achieving higher operational reliability and stability.
CN121918385BActive Publication Date: 2026-06-16TAIYUAN UNIVERSITY OF TECHNOLOGY +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TAIYUAN UNIVERSITY OF TECHNOLOGY
- Filing Date
- 2026-03-18
- Publication Date
- 2026-06-16
Smart Images
Figure CN121918385B_ABST
Abstract
The application provides a control method, device and equipment of a mining system and a medium. The method comprises: collecting visual data of a coal rock pile surface and vibration data of the mining system on a mining track; reconstructing the visual data of the coal rock pile surface in space to determine a coal rock feature distribution matrix; predicting a mining risk according to the coal rock feature distribution matrix and the vibration data to obtain prediction data; controlling the mining system to mine according to a first control strategy and determining working data of the mining system during the mining process; updating the first control strategy based on the prediction data and the working data to obtain a second control strategy; and storing the second control strategy and finally updating the first control strategy after the iterative learning ends.
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