Rapid volume measurement for large bulk cargo

被引:1
作者
Yang D.-S. [1 ]
Dong L.-L. [1 ]
Liang Q.-Q. [1 ]
Xu W.-H. [1 ]
机构
[1] College of Information Sciences and Technology, Dalian Maritime University, Dalian
来源
Guangxue Jingmi Gongcheng/Optics and Precision Engineering | 2016年 / 24卷 / 09期
关键词
Large bulk; Laser measurement; Point cloud edge; Rapid measurement; Triangulation; Volume measurement;
D O I
10.3788/OPE.20162409.2126
中图分类号
学科分类号
摘要
A rapid volume measurement method for a bulk cargo was proposed to overcome the shortcomings of traditional bulk measuring systems in poor adaptability for yard environments, longer complete time, lower efficiency and complex operation. Then a volume measuring system consisting of a 2D laser scanner, a difference GPS and an attitude measuring system was designed. For this system, the laser scanner was used to measure dynamically the surface geometry information of a bulk, the attitude measuring system was taken to measure the space attitude data of the scanner in real time and the GPS was utilized to obtain the 3D position of the scanner in measuring processing. Finally, the data fusion was used to calculate 3D point cloud of the bulk cargo and to obtain the volume of the bulk cargo. On the basis of the feature of single scanned outline, an algorithm to extract the down edge of the bulk cargo effectively was proposed to remove the measurement error from ground point cloud and a projection triangulation volume algorithm was used to calculate the volume of bulk's point cloud. Experiment shows that the system could complete the measurement of bulk cargo with a size of 69 m3 in 30 s, the average relative error is 0.42% and the repeated measurement error is 0.41%. In a reality bulk measurement, the measurement on about 31 500 m3 takes less than 10 min, and the average repeated measurement error for 4 coal bulks is 0.74%. It shows that the system could measure the volume of bulk cargo quickly and easily on maintaining accurate measurement. © 2016, Science Press. All right reserved.
引用
收藏
页码:2126 / 2133
页数:7
相关论文
共 17 条
[1]  
Bian X.T., Su X.Y., Chen W.Q., A novel tree-dimensional coordinates measurement method based on inverse photogrammetry, Chinese J. Laser, 37, 7, pp. 1832-1836, (2010)
[2]  
Dai B., Zhong R.F., Hu J., Research on 3D reconstruction of urban features from data based on vehicle-borne laser scanning, Journal of Capital Normal University: Natural Science Edition, 32, 3, pp. 89-96, (2011)
[3]  
Lin Y.M., Lu N.G., Lou X.P., Et al., Robot vision system for 3D reconstruction in low texture environment, Opt. Precision Eng., 23, 2, pp. 540-549, (2015)
[4]  
Ahn J.K., Lee K.Y., Sim J.Y., Et al., Large-scale 3D point cloud compression using adaptive radial distance prediction in hybrid coordinate domains, IEEE Journal of Selected Topics in Signal Processing, 9, 3, pp. 422-434, (2015)
[5]  
Chen J., Wu X.J., Wang M.Y., Et al., 3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithm, Optics & Laser Technology, 45, pp. 414-423, (2013)
[6]  
Shi G., Zhang F.M., Qu X.H., Economical type large-scale laser automatic coordinate measuring system, Opt. Precision Eng., 21, 8, pp. 1957-1965, (2013)
[7]  
Zhou S., Guo Y.C., Gao C., Et al., Rapid length measuring system for mobile and large scale cylinder workpieces based on 3D laser scanning, Opt. Precision Eng., 22, 6, pp. 1524-1530, (2014)
[8]  
Shao Q., Xu T., Yoshino T., Et al., Design and experiment for grain storage monitoring system based on 3-D laser scanning technology, Transactions of the Chinese Society of Agricultural Engineering, 31, 20, pp. 262-267, (2015)
[9]  
Hyyppa J., Kelle O., Lehikoinen M., Et al., A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners, IEEE Transactions on Geoscience and Remote Sensing, 39, 5, pp. 969-975, (2011)
[10]  
Chen Z.P., Lei Y.W., Yan Q.H., Et al., Measuring and calculation methods for landslide volume with 3-D laser scanner in Wenchuan earthquake area, Transactions of the Chinese Society of Agricultural Engineering, 29, 8, pp. 135-144, (2013)