Volume 4, Issue 6, November 2019, Page: 142-148
A Tanker Port Positioning Method of Quantitative Loading Automation
Wenliang Zhu, School of Mechanical and Ocean Engineering, Jiangsu Ocean University, Lianyungang, China
Yanzhe Ni, School of Mechanical and Ocean Engineering, Jiangsu Ocean University, Lianyungang, China
Tingbo Huang, Jiangsu Spacecraft Co., Ltd., Taizhou, China
Jiahao Han, Lianyungang Technical College, Lianyungang, China
Received: Nov. 12, 2019;       Accepted: Dec. 13, 2019;       Published: Dec. 30, 2019
DOI: 10.11648/j.mcs.20190406.16      View  362      Downloads  123
Laser scanning ranging radar is an important tool for machines to perceive the surrounding environment and is widely used in the power, forestry, surveying and mapping industries. At present, the loading of oil and grain oil in our country generally adopts the way of manual loading. The loading arm is inserted into the tank of the tanker for refueling, and the loading operation is very frequent. In order to realize automatic control of grain and oil loading, radar is needed to assist the robot to locate the oil port of the tanker. In this paper, a 360-degree laser scanning ranging radar is used to collect characteristic data of oil hole of tanker for the first time in simulated environment. Cubic spline interpolation was used to smooth and correct the radar scan data. Based on the feature that the distance data of oil port will change rapidly, an edge feature recognition algorithm is proposed to screen and calculate the target point, and then convert it to cartesian coordinate point, which can be used as the positioning target of the robot unit of quantitative loading system. The experimental results show that the method can locate the center of the circle accurately and meet the requirement of feature recognition accuracy.
Laser Radar, Spline Interpolation, Center Positioning
To cite this article
Wenliang Zhu, Yanzhe Ni, Tingbo Huang, Jiahao Han, A Tanker Port Positioning Method of Quantitative Loading Automation, Mathematics and Computer Science. Vol. 4, No. 6, 2019, pp. 142-148. doi: 10.11648/j.mcs.20190406.16
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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