Research on the Application of Double-end Constraint Algorithm on Fully Mechanized Mining Face

Peng Jiguo, Zhang Jinhong, Zhang Bo, Lu Feng, Sun Lingfei
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Abstract

This paper studies the precise measurement method of the trajectory of the shearer in a fully mechanized coal mining face, and designs a multi-source information fusion system based on inertial measurement technology, dead reckoning technology and visual measurement technology. First of all, the conversion from the 2000 national coordinate system used in the survey to the independent coordinate system of the fully mechanized mining face and the division of the mining area is discussed. Based on this, the regional coordinate system covering the operational trajectory of the shearer is constructed. Compared with traditional coal mining, the value scope is expanded. Then combined with the characteristics of the environment in the pit, the active cooperative target vision measurement system was selected to realize the precise capture of the control points. Aiming at the characteristics of the divergence of inertial errors, a double-end constraint algorithm based on the control points was proposed, and field verification was conducted on the railway track. Under the condition of an error of 0.02m, the trajectory measurement accuracy is better than 0.05m. Finally, the actual measurement results of the shearer trajectory are given. The verification results show that the system can accurately measure the operation trajectory of the shearer after being used in a fully mechanized mining face, which provides a basis for the mining of thin coal seams and the correction of triangular coal areas.
双端约束算法在综采工作面中的应用研究
研究了综采工作面采煤机轨迹的精确测量方法,设计了基于惯性测量技术、航位推算技术和视觉测量技术的多源信息融合系统。首先,对调查中使用的2000年国家坐标系向综采工作面独立坐标系的转换及矿区划分进行了探讨。在此基础上,构建了覆盖采煤机运行轨迹的区域坐标系。与传统煤炭开采相比,扩大了价值范围。然后结合坑内环境特点,选择主动协同目标视觉测量系统实现控制点的精确捕获。针对惯性误差发散的特点,提出了一种基于控制点的双端约束算法,并在铁路轨道上进行了现场验证。在误差为0.02m的条件下,弹道测量精度优于0.05m。最后给出了采煤机轨迹的实际测量结果。验证结果表明,该系统能够准确测量采煤机在综采工作面使用后的作业轨迹,为薄煤层开采和三角煤区校正提供依据。
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