Fernández Álvarez Humberto, Álvarez-Narciandi Guillermo, García-Fernández María, Laviada Jaime, Álvarez López Yuri, Las-Heras Andrés Fernando
Area of Signal Theory and Communications, University of Oviedo, 33203 Gijón, Spain.
Sensors (Basel). 2021 Jan 23;21(3):757. doi: 10.3390/s21030757.
In this paper, a portable three-dimensional (3D) scanning system for the accurate characterization of large raw material (e.g., cereal grain, coal, etc.) stockpiles is presented. The system comprises an array of high resolution millimeter-wave radars and a cm-level accuracy positioning system to accurately characterize large stockpiles by means of a high-resolution 3D map, making it suitable for automation purposes. A control unit manages the data received by the sensors, which are sent to a computer system for processing. As a proof of concept, the entire sensor system is evaluated in a real environment for electromagnetically scan a scaled stockpile of coal, used in the industry for handling raw materials. In addition, a highly efficient processing adaptive algorithm that may reconstruct the scanned structure in real-time has been introduced, enabling continuous dynamic updating of the information. Results are compared with those from a photogrammetry-like technique, revealing an excellent agreement.
本文介绍了一种用于精确表征大型原材料(如谷物、煤炭等)库存的便携式三维(3D)扫描系统。该系统包括一组高分辨率毫米波雷达和一个厘米级精度的定位系统,通过高分辨率3D地图精确表征大型库存,使其适用于自动化目的。控制单元管理传感器接收到的数据,并将其发送到计算机系统进行处理。作为概念验证,整个传感器系统在实际环境中进行评估,以对工业中用于处理原材料的按比例缩小的煤堆进行电磁扫描。此外,还引入了一种高效的处理自适应算法,该算法可以实时重建扫描结构,实现信息的连续动态更新。将结果与类似摄影测量技术的结果进行比较,显示出极佳的一致性。