Science, Technology, Engineering and Mathematics.
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CONTROL METHOD OF A MACHINE VISION-BASED ROBOT FOR PUMP PIPE INSPECTION

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Volume 3, Issue 5, Pp 49-54, 2025

DOI: https://doi.org/10.61784/wjer3061

Author(s)

Dong Liu, ChangCheng Wan*, Long Xie, Peng Liu

Affiliation(s)

School of Mechanical Engineering, Xihua University, Chengdu 610039, Sichuan, China.

Corresponding Author

ChangCheng Wan

ABSTRACT

The pump pipe detection robot is used to detect the blockage of the concrete pump pipe, and it is an important equipment to ensure the safe and efficient transportation of the pump pipe. Currently, traditional inspection relies heavily on manual experience, which is not only time-consuming and inaccurate but also severely impacts construction progress and may even cause economic losses. To achieve precise and efficient blockage detection, this paper designs a machine vision-based pipeline detection robot control system. The core of this system utilizes optical fiber as the communication medium, fully leveraging its high bandwidth, low latency, and electromagnetic interference resistance to enable efficient and reliable transmission of robot control commands and high-definition image data.

KEYWORDS

Pipeline robot; Control system; Fiber optic communication; Machine vision

CITE THIS PAPER

Dong Liu, ChangCheng Wan, Long Xie, Peng Liu. Control method of a machine vision-based robot for pump pipe inspection. World Journal of Engineering Research. 2025, 3(5): 49-54. DOI: https://doi.org/10.61784/wjer3061.

REFERENCES

[1] Li Yong. Research on Pumping Construction Technology of High-strength Concrete in Super High-rise Buildings.  Engineering and Technological Research, 2022, 7(09): 106-108.

[2] Wang Qiwen, Yu Jiaxin. Concrete Pumping and Anti-blocking Pipe Construction Technique for Super-tall Building. Tianjin Science & Technology, 2017, 44(10): 66-70.

[3] Ding Hongchun, Lu Jincai, Liang Shuang, et al. Technology of preventing pipe plugging by pumping concrete washing and piping. Water Sciences and Engineering Technology, 2018(04): 73-75.

[4] Kazeminasab S, Banks M K. A localization and navigation method for an in-pipe robot in water distribution system through wireless control towards long-distance inspection. IEEE Access, 2021, 9: 117496-117511.

[5] Bai X, Wang Y, Yang Z, et al. Design and Pipeline Tracking Control of an Underwater Biomimetic Vehicle-Manipulator System With Hybrid Propulsion. IEEE Transactions on Cybernetics, 2025, 55(7): 3073-3084.

[6] Han Z, Zhu Z. Articulated robot system for energy pipeline maintenance. Energy Reports, 2022, 8: 267-274.

[7] Nguyen L V, Kim H, Nguyen K T, et al. Adaptable cavity exploration: Bioinspired vibration-propelled PufferFace Robot with a morphable body. Science Advances, 2025, 11(18): eads3006.

[8] Jeon K W, Jung E J, Bae J H, et al. Development of an in-pipe inspection robot for large-diameter water pipes. Sensors, 2024, 24(11): 3470.

[9] Liu J, Li M, Wang Y, et al. Multi-gait snake robot for inspecting inner wall of a pipeline. Biomimetic Intelligence and Robotics, 2024, 4(2): 100156.

[10] Zhen J, Ma T, Wang XY. Design of a Pipeline Robot Based on the Integrated Valve Control. Machine Tools & Hydraulics, 2022, 50(17): 57-60.

[11] Luo Jiman, Liu Shiheng, Ma Siyuan, et al. Pressure Stability Control of Supporting Legs of Pipeline Robot Propulsion Device. Journal of Shenyang Jianzhu University (Natural Science), 2023, 39(05): 939-946.

[12] Liu Simo. Study of Obstacle Avoidance in Pipeline Inspection Robots Based on Visual Perception and Ant Colony Algorithm. Journal of Lanzhou Petrochemical University of Vocational Technology, 2025, 25(01): 37-42.

[13] Kabir H, Lee HS. Mask r-cnn-based stone detection and segmentation for underground pipeline exploration robots. Applied Sciences, 2024, 14(9): 3752.

[14] Yang Wanting. Research on Pipeline Robot Weld Defect Detection Based on Machine Vision. Agricultural Technology & Equipment, 2024(08): 89-92.

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