Research on spatial positioning of online inspection robots for vertical storage tanks

Huang, Zhiqiang; He, Lei; Gao, ZhaoXin; Jia, Yi‐Xia; Kang, Yewei; Xie, Dou; Chun-li, FU

doi:10.1108/ir-08-2019-0168

Cited by 6 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fire robots can replace humans to rush into the sea of fire and extinguish fires [8]. Testing robots directly lead to the unemployment of quality testing workers [9]. In terms of robot path planning, various new intelligent algorithms have emerged one after another in recent years.…”

Section: Introductionmentioning

confidence: 99%

Research on Path Planning for Robot Based on Improved Design of Non-Standard Environment Map With Ant Colony Algorithm

Li,

Kim,

Lyu

et al. 2023

IEEE Access

View full text Add to dashboard Cite

The maps used for the path planning of mobile robots are mostly grid maps, which are generated through independent design or sensor measurement to obtain relevant information and then modeling. To obtain the robot motion planning path more quickly, this paper proposes a method of robot motion path planning through the ant colony algorithm under a non-standard environment map. The non-standard environment map is used for standard grid design, and the grid map is optimized by the method of no safety distance added obstacle box selected and safety distance added obstacle box selected, then the path planning is carried out through the ant colony algorithm. In addition, the mutual correspondence between grid maps and real environment maps was solved by adding calibration objects. The experimental results show that this method can not only effectively solve the problem of ant colony algorithms under a non-standard real environment map, show the planning path and pose on the non-standard real environment map, moreover, the safety degree of the planning path in the real environment is also increased by 29.51%, ensuring the safety degree of the whole planning path, which improves the intelligent degree of robot motion path planning.

show abstract

Section: Introductionmentioning

confidence: 99%

Research on Path Planning for Robot Based on Improved Design of Non-Standard Environment Map With Ant Colony Algorithm

Li,

Kim,

Lyu

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Some robot positioning methods have been studied, but their accuracy is not high enough. For example, a prototype Robtank location accuracy is on the order of ±0.5 m (Correia Da Cruz et al , 2005) and a tank inspection robot with acoustic positioning method has a positioning error of 0.2 m (Huang et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

Spatial positioning robotic system for autonomous inspection of LPG tanks

et al. 2022

View full text Add to dashboard Cite

Purpose Automatic robots can improve the efficiency of liquefied petroleum gas (LPG) tank inspection and maintenance, but it is difficult to achieve high-precision spatial positioning and navigation on tank surfaces. The purpose of this paper is to develop a spatial positioning robotic system for tank inspection. The robot can accurately identify and track weld paths. The positioning system can complete robot’s spatial positioning on tank surfaces. Design/methodology/approach A tank inspection robot with curvature-adaptive transmission mechanisms is designed in this study. A weld path recognition method based on deep learning is proposed to accurately identify and extract weld paths. Integrated multiple sensors, the positioning system is developed to improve the robot’s spatial positioning accuracy. Experiments are conducted on a cylindrical tank to test weld seam tracking accuracy and spatial positioning performance of the robotic system. The practicality of the robotic system is then verified in field tests. Findings The robot can accurately identify and track weld seams with a maximum drift angle of 4° and a maximum offset distance of ±30 mm. The positioning system has excellent positioning accuracy and stability. The maximum angle and height errors are 3° and 0.08 m, respectively. Originality/value The positioning system can improve the autonomous performance of inspection robots and solve the problems of weld path recognition and spatial positioning. Application of the robotic system can promote the automatic inspection and maintenance of LPG tanks.

show abstract

Flexible Sensor Array and Newton Interpolation Algorithm for Molded Dichromatic Sole by Operating Robot

Gu,

Gao,

Wang

et al. 2024

Communications in Computer and Information Science

View full text Add to dashboard Cite

Research on spatial positioning of online inspection robots for vertical storage tanks

Cited by 6 publications

References 2 publications

Research on Path Planning for Robot Based on Improved Design of Non-Standard Environment Map With Ant Colony Algorithm

Research on Path Planning for Robot Based on Improved Design of Non-Standard Environment Map With Ant Colony Algorithm

Spatial positioning robotic system for autonomous inspection of LPG tanks

Flexible Sensor Array and Newton Interpolation Algorithm for Molded Dichromatic Sole by Operating Robot

Contact Info

Product

Resources

About