基于红外热成像的掘支锚机器人联合机组相对位姿检测方法研究

Research on the relative position detection method of combined unit of excavating and supporting anchor robot based on infrared thermal imaging

  • 摘要: 针对煤矿掘进工作面高尘雾、低照度复杂环境下,掘支锚机器人联合机组相对位姿感知存在的定位参照差、标定工序复杂、检测参数不完全等难题,提出了一种基于红外热成像的掘支锚机器人联合机组相对位姿检测方法。首先,基于自主研发的掘支锚机器人联合机组,构建由红外热成像相机、热源标靶、迈步式锚支护装备等组成的相对位姿测量系统;通过红外热成像相机捕捉安装在掘支锚机器人联合机组上的热源标靶信号源,并对其输出的热成像图像进行畸变校正与图像增强处理;其次,采用UNet分割算法对热源标靶信号源进行区域分割,再利用图像二值化与形态学处理对分割后的信号源区域进行特征细化,并结合OpenCV库函数提取信号源中心点的像素坐标;再者,采用P4P方法求解4组信号源中心点的空间三维坐标,并通过坐标系转换解算掘支锚机器人联合机组的相对位姿参数;然后,以Realsense D435i深度相机结合奇异值分解算法测得的相对位姿参数作为真值,进一步计算所提方法的测量误差,以验证所提方法的可行性与有效性;最后,搭建了基于红外热成像的掘支锚机器人联合机组相对位姿检测实验平台,实验结果表明,在2.40~4.80 m测量范围内,在迈步式锚支护装备坐标系下,掘进机沿XYZ三轴方向平移量相对误差绝对值均值分别为0.021 6、0.019 8、0.026 9 m,绕XYZ三轴的旋转角度相对误差绝对值均值分别为1.45°、1.07°、1.27°,可以满足煤矿复杂环境掘支锚机器人联合机组相对位姿感知需求。

     

    Abstract: Aiming at the poor positioning reference, complicated calibration process, incomplete detection parameters and other difficulties in the relative position sensing of the joint unit of digging, supporting and anchoring robots under the complex environment of high dust and fog and low illumination in the face of coal mine excavation, an infrared thermal imaging-based relative position detection method for the joint unit of digging, supporting and anchoring robots is proposed. Firstly, based on the self-developed joint unit of digging and supporting anchor robot, a relative position measurement system consisting of infrared thermal camera, heat source target, and stepping anchor supporting equipment was constructed; the infrared thermal imaging camera captures the signal source of the heat source target mounted on the combined unit of digging and supporting anchor robots and carries out the aberration correction and image enhancement processing on the output thermal imaging image; Secondly, the UNet segmentation algorithm is used to segment the region of the heat source target signal source, and then the image binarisation and morphological processing are used to refine the features of the segmented region of the signal source and extract the pixel coordinates of the centroid of the signal source by combining with the OpenCV library function; Again, the P4P method is used to solve the spatial 3D coordinates of the centre points of the four groups of signal sources, and the relative position parameters of the combined unit of the digging and supporting anchor robots are solved by the coordinate system transformation; Then, the relative positional parameters measured by the Realsense D435i depth camera combined with the singular value decomposition algorithm are used as the true values, and the measurement errors of the proposed method are further calculated to verify the feasibility and effectiveness of the proposed method; Finally, an experimental platform for relative position detection of the combined unit of digging, supporting and anchoring robot based on infrared thermal imaging was built, and the experimental results show that, in the measuring range of 2.40~4.80 m, under the coordinate system of the stepping anchor supporting equipment, the absolute mean values of relative errors of the digging machine's translations along the three axes of X, Y and Z are 0.0216 m, 0.0198 m and 0.0269 m, and the absolute mean values of relative errors of the rotational angles of the digging machine around the three axes of X, Y and Z are 1.45°, 1.07° and 1.27°, which can meet the needs of relative position sensing in the complex environment of the coal mine.

     

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