Study of a Small Robot for Mine Hole Detection
Abstract
:1. Introduction
2. Functional Analysis and Mechanical Modeling
2.1. Mechanics Modeling
2.2. Shaft Strength Calibration Calculation
2.3. Analysis of the Effect of the Regulating System on Positive Pressure
3. Mechanical Structure Design of Small Robots for Mine Holes
3.1. Power System Design
3.2. Auxiliary System Design
4. Hardware Circuit and Program Design
4.1. Hardware Circuit Design
4.2. Control Program Design
5. Robot Testing and Analysis
5.1. Robot Routine Parameter Testing
5.2. Robot Routine Parameter Testing
5.3. Robotic Diameter Variation Test
6. Conclusions
- (1)
- The functional analysis and structural design of a small robot for mine hole inspection were carried out according to engineering requirements. The variable-diameter function was designed to adapt to the unevenness of mine holes. The force situation was theoretically analyzed, and the optimal parameters of the critical structure were calculated to ensure the working life of the robot.
- (2)
- Using three-dimensional modeling software, the structural model of the small robot for mine hole detection was established. The gear structure was used to reduce the radial size of the robot to adapt to the small diameter of a mine hole; the buffer structure was set to improve the shooting quality and passability; and the gimbal structure was designed to facilitate the expansion of the robot.
- (3)
- The small robot’s hardware circuit and control program for mine hole detection were designed to focus on the waterproof and explosion-proof design to address the problem of water and gas inside the mine hole. The power of the whole machine was limited to no more than 12 W, which met the engineering requirements.
- (4)
- The mine hole detection small robot was tested, and the test results showed that the mine hole detection small robot worked within a hole diameter of 65 mm to 100 mm and had a maximum power of 12 W, a top crawling speed of 3.96 m/min, and a maximum crawling slope of 90°. The experimental results demonstrated that the mine hole-detection robot could adapt to the coal mine hole environment and meet engineering needs.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Li, C.M.; Nie, R. An evaluating system for scientific mining of China’s coal resources. Resour. Policy 2017, 53, 317–327. [Google Scholar] [CrossRef]
- You, M.; Li, S.; Li, D.; Xu, S. Applications of artificial intelligence for coal mine gas risk assessment. Saf. Sci. 2021, 143, 105420. [Google Scholar] [CrossRef]
- Yang, G.; Wang, J.; Shao, W.; Wang, H. The Relationship between China’s Coal Resource Development and Water Resource. Energy Procedia 2015, 75, 2548–2555. [Google Scholar] [CrossRef]
- Shi, Y.; Chen, J.; Hao, J.; Bi, J.; Qi, M.; Wang, X. Statistical Analysis of Coal Mine Accidents of China in 2018. In Proceedings of the 2019 Prognostics and System Health Management Conference (PHM-Qingdao), Qingdao, China, 25–27 October 2019. [Google Scholar] [CrossRef]
- Zhu, Y.; Wang, D.; Shao, Z.; Xu, X.; Zhu, X.; Qi, X.; Liu, F. A statistical analysis of coalmine fires and explosions in China. Process Saf. Environ. Prot. 2019, 121, 357–366. [Google Scholar] [CrossRef]
- Ke, W.; Wang, K. Impact of Gas Control Policy on the Gas Accidents in Coal Mine. Processes 2020, 8, 1405. [Google Scholar] [CrossRef]
- Zhou, T.; Zhu, Y.; Sun, K.; Chen, J.; Wang, S.; Zhu, H.; Wang, X. 2008–2021 China’s coal mine accident law analysis and forecast research. Min. Saf. Environ. Prot. 2023, 50, 136–140, 146. [Google Scholar] [CrossRef]
- Cheng, L.; Xu, Y.; Jing, G.; Cheng, Z.; Liu, Y. Statistical Analysis of National Coal Mine Accidents and Risk Classification of Accident Types. Coal Technol. 2023, 42, 128–132. [Google Scholar] [CrossRef]
- Lai, R.; Lin, W.; Wu, Y. Review of Research on the Key Technologies, Application Fields and Development Trends of Intelligent Robots; Springer: Cham, Switzerland, 2018. [Google Scholar] [CrossRef]
- Moriyama, S. Traction force estimator of tracked mobile robot supported by the back-to-back test. IEEJ Trans. Electr. Electron. Eng. 2019, 14, 948–953. [Google Scholar] [CrossRef]
- Ge, S.; Hu, E.; Pei, W. Coal mine robot system and key technologies. J. China Coal Soc. 2020, 45, 455–463. [Google Scholar] [CrossRef]
- Selvarajan, A.; Kumar, A.; Sethu, D.; bin Ramlan, M.A. Design and Development of a Snake-Robot for Pipeline Inspection. In Proceedings of the 2019 IEEE Student Conference on Research and Development (SCOReD), Perak, Malaysia, 15–17 October 2019. [Google Scholar] [CrossRef]
- Yi, X.; Ping, G.; Hu, F.; Zheng, S. Design and Experimental Verification of a Novel Foam Smart PIG for Pipe Deformation Detection. J. Mech. Eng. 2019, 55, 22. [Google Scholar] [CrossRef]
- Sera, F.; Kakogawa, A.; Ma, S. Joint Angle Control of an 8-inch Gas Pipeline Inspection Robot to Pass through Bends. In Proceedings of the 2019 International Conference on Advanced Mechatronic Systems (ICAMechS), Kusatsu, Japan, 26–28 August 2019. [Google Scholar] [CrossRef]
- Tu, Q.; Liu, Q.; Ren, T.; Li, Y. Obstacle crossing and traction performance of active and passive screw pipeline robots. J. Mech. Sci. Technol. 2019, 33, 2417–2427. [Google Scholar] [CrossRef]
- Okamoto, J., Jr.; Adamowski, J.C.; Tsuzuki, M.S.G.; Buiochi, F.; Camerini, C.S. Autonomous system for oil pipelines inspection. Mechatronics 1999, 9, 731–743. [Google Scholar] [CrossRef]
- Kim, H.M.; Yun, S.C.; Lee, Y.G.; Choi, H.R. Novel Mechanism for In-Pipe Robot Based on a Multiaxial Differential Gear Mechanism. Mechatron. IEEE ASME Trans. 2017, 22, 227–235. [Google Scholar] [CrossRef]
- Yan, H.; Wang, L.; Li, P.; Wang, Z.; Yang, X.; Hou, X. Research on Passing Ability and Climbing Performance of Pipeline Plugging Robots in Curved Pipelines. IEEE Access 2020, 8, 173666–173680. [Google Scholar] [CrossRef]
- Hadi, A.; Hassani, A.; Alipour, K.; Askari, R. Developing an adaptable pipe inspection robot using shape memory alloy actuators. J. Intell. Mater. Syst. Struct. 2020, 31, 632–647. [Google Scholar] [CrossRef]
- Bogue, R. Applications of robotics in test and inspection. Ind. Robot 2018, 45, 169–174. [Google Scholar] [CrossRef]
- Debenest, P.; Guarnieri, M.; Hirose, S. PipeTron series—Robots for pipe inspection. In Proceedings of the 2014 3rd International Conference on Applied Robotics for the Power Industry, Foz do Iguassu, Brazil, 14–16 October 2014. [Google Scholar] [CrossRef]
- Qi, W.; Kamegawa, T.; Gofuku, A. Helical wave propagation motion for a snake robot on a vertical pipe containing a branch. Artif. Life Robot. 2018, 23, 515–522. [Google Scholar] [CrossRef]
- Inazawa, M.; Takemori, T.; Tanaka, M.; Matsuno, F. Motion Design for a Snake Robot Negotiating Complicated Pipe Structures of a Constant Diameter. In Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 31 May–31 August 2020. [Google Scholar] [CrossRef]
- Bogdan, P.A.; Wheadon, J.; Klein, F.B.; Gianni, M. Magnetic Tracked Robot for Internal Pipe Inspection. In Proceedings of the 2021 European Conference on Mobile Robots (ECMR), Bonn, Germany, 31 August–3 September 2021. [Google Scholar] [CrossRef]
- Zhao, W.; Zhang, L.; Kim, J. Design and Analysis of Independently Adjustable Large In-Pipe Robot for Long-Distance Pipeline. Appl. Sci. 2020, 10, 3637. [Google Scholar] [CrossRef]
- Kakogawa, A.; Ma, S. Design of a multilink-articulated wheeled pipeline inspection robot using only passive elastic joints. Adv. Robot. 2018, 32, 37–50. [Google Scholar] [CrossRef]
- Cao, E.; Tan, H.; Bian, Y.; Guo, Z.; Zhou, F. Design and Realization of a 6-Wheeled In-Pipe Robot. J. Phys. Conf. Ser. 2022, 2356, 012010. [Google Scholar] [CrossRef]
- Hidemasa, S.; Mizuki, N.; Motoyasu, T.; Kazuo, T.; Fumitoshi, M. Control of an articulated wheeled mobile robot in pipes. Adv. Robot. Int. J. Robot. Soc. Jpn. 2019, 33, 1072–1086. [Google Scholar] [CrossRef]
- You, S.; Zhu, H.; Zhao, Y.; Chang, Z. Research Status and Development Direction of Coal Mine Disaster Relief Robots. Ind. Mine Autom. 2017, 43, 14–18. [Google Scholar] [CrossRef]
Name | Parameters |
---|---|
Outer diameter | 65 mm |
Length | 300 mm |
Weight | 0.925 kg |
Maximum drive current | 0.4 A |
Maximum power | 12 W |
Horizontal traction | 40 N |
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Ge, L.; Fang, Z.; Li, H.; Zhang, L.; Zeng, W.; Xiao, X. Study of a Small Robot for Mine Hole Detection. Appl. Sci. 2023, 13, 13249. https://doi.org/10.3390/app132413249
Ge L, Fang Z, Li H, Zhang L, Zeng W, Xiao X. Study of a Small Robot for Mine Hole Detection. Applied Sciences. 2023; 13(24):13249. https://doi.org/10.3390/app132413249
Chicago/Turabian StyleGe, Liang, Ziyang Fang, Hao Li, Le Zhang, Wen Zeng, and Xiaoting Xiao. 2023. "Study of a Small Robot for Mine Hole Detection" Applied Sciences 13, no. 24: 13249. https://doi.org/10.3390/app132413249
APA StyleGe, L., Fang, Z., Li, H., Zhang, L., Zeng, W., & Xiao, X. (2023). Study of a Small Robot for Mine Hole Detection. Applied Sciences, 13(24), 13249. https://doi.org/10.3390/app132413249