摘要
煤矿水仓清淤机器人可以大大提高水仓的清淤效率,保证了水仓的可靠性。在煤矿水仓清淤机器人的研发过程中,煤泥界面的识别成为煤矿水仓清淤机器人研发的关键基础问题,为此,提出了一种二维激光雷达与深度相机结合的方法实现对煤泥界面的准确识别。首先,通过在ROS中对激光雷达和深度相机联合标定的方式获取相机的内部参数和外部参数,建立激光雷达数据和相机数据的变换关系;然后,基于高斯滤波的方式降低深度相机获取的三维点云的噪声,基于均值滤波的方式降低其密度;最后,通过将转换后激光雷达数据与相机数据叠加,通过激光雷达采样点的深度均值对深度相机的三维点云数据进行滤波处理,以实现对煤泥界面的识别。试验结果表明:该方法可以有效识别煤泥界面,为实现水仓清理的智能化、机械化奠定基础。
The research and development of the coal mine sump dredging robot can greatly improve the dredging efficiency of the water sump and ensure the reliability of the water sump.In the research and development process of the coal mine water sump dredging robot,the identification of the sludge interface has become a key basic problem in the research and development of the coal mine sump dredging robot,and a method combining 2D lidar and depth camera was proposed to achieve accurate identification of the sludge interface.Firstly,the internal parameters and external parameters of the camera were obtained by the joint calibration of the lidar and the depth camera in ROS,and the transformation relationship between the lidar data and the camera data was established.Then,the noise of the 3D point cloud obtained by the depth camera is reduced by Gaussian filtering,and the density is reduced by means filtering.Finally,by superimposing the converted lidar data with the camera data,the 3D point cloud data of the depth camera was filtered through the depth mean of the lidar sampling points to realize the identification of the sludge interface.Experimental results show that the method can effectively identify the sludge interface,and lay a foundation for the intelligent and mechanized cleaning of water sump.
作者
贾雪峰
高贵军
李贵虎
JIA Xuefeng;GAO Guijun;LI Guihu(College of Mechanical and Transportation Engineering,Taiyuan University of Technology,Taiyuan 030024,China;Shanxi Mine Fluid Control Engineering Laboratory,Taiyuan 030024,China;National and Local Joint Engineering Laboratory of Mine Fluid Control,Taiyuan 030024,China)
出处
《煤矿安全》
北大核心
2025年第1期206-211,共6页
Safety in Coal Mines
基金
山西省重点研发计划资助项目(202102100401004)
山西省科技合作交流专项资助项目(202104041101005)。
关键词
煤矿水灾
水仓清淤机器人
煤泥界面识别
点云叠加
ROS
coal mine flood
water sump dredging robot
coal sludge interface recognition
point cloud overlay
ROS
