Abstract
In order to address the challenge of detecting the attitude of advanced hydraulic support in a harsh mine environment, this study proposes a binocular vision technology that accurately measures the omni-directional attitude of advanced hydraulic support relative to the roadway in real-time. The first step involves constructing a visual measurement system and optimizing the software development platform based on the actual motion conditions. Next, an innovative algorithm for space point reconstruction and omni-directional attitude is proposed. Finally, an indoor ground experimental platform is built to demonstrate the feasibility and effectiveness of the method by comparing it with high-precision experiments. The results show that the average absolute deviation of the measured attitude angle is within 0.4° and the average absolute deviation of the measured distance is within 6 mm, which meets the accuracy requirements of the fully mechanized mining equipment under the mine. This method has high measurement accuracy and sufficient visibility, which has important practical significance for ensuring the support efficiency of advanced hydraulic support and the intelligent production of working faces.
Published Version
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