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.
Published in | Mathematics and Computer Science (Volume 4, Issue 6) |
DOI | 10.11648/j.mcs.20190406.16 |
Page(s) | 142-148 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Laser Radar, Spline Interpolation, Center Positioning
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APA Style
Wenliang Zhu, Yanzhe Ni, Tingbo Huang, Jiahao Han. (2019). A Tanker Port Positioning Method of Quantitative Loading Automation. Mathematics and Computer Science, 4(6), 142-148. https://doi.org/10.11648/j.mcs.20190406.16
ACS Style
Wenliang Zhu; Yanzhe Ni; Tingbo Huang; Jiahao Han. A Tanker Port Positioning Method of Quantitative Loading Automation. Math. Comput. Sci. 2019, 4(6), 142-148. doi: 10.11648/j.mcs.20190406.16
AMA Style
Wenliang Zhu, Yanzhe Ni, Tingbo Huang, Jiahao Han. A Tanker Port Positioning Method of Quantitative Loading Automation. Math Comput Sci. 2019;4(6):142-148. doi: 10.11648/j.mcs.20190406.16
@article{10.11648/j.mcs.20190406.16, author = {Wenliang Zhu and Yanzhe Ni and Tingbo Huang and Jiahao Han}, title = {A Tanker Port Positioning Method of Quantitative Loading Automation}, journal = {Mathematics and Computer Science}, volume = {4}, number = {6}, pages = {142-148}, doi = {10.11648/j.mcs.20190406.16}, url = {https://doi.org/10.11648/j.mcs.20190406.16}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mcs.20190406.16}, abstract = {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.}, year = {2019} }
TY - JOUR T1 - A Tanker Port Positioning Method of Quantitative Loading Automation AU - Wenliang Zhu AU - Yanzhe Ni AU - Tingbo Huang AU - Jiahao Han Y1 - 2019/12/30 PY - 2019 N1 - https://doi.org/10.11648/j.mcs.20190406.16 DO - 10.11648/j.mcs.20190406.16 T2 - Mathematics and Computer Science JF - Mathematics and Computer Science JO - Mathematics and Computer Science SP - 142 EP - 148 PB - Science Publishing Group SN - 2575-6028 UR - https://doi.org/10.11648/j.mcs.20190406.16 AB - 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. VL - 4 IS - 6 ER -