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Research on the Key Technology of a Small Rock Hole Inspection Robot

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Abstract

The vertical stable walking problem of the rock hole inspection robot is a difficult and key point in design and control, which solves the important problem of the robot being able to walk vertically. In this paper, a rock hole inspection robot is designed, which can inspect the pore morphology and rock cracks in rock holes by carrying cameras, test sensors and other monitors. It can adapt to the inspection function of rock holes at an angle of 0–90 ° with a diameter of 95 mm–105 mm. ADAMS software is used to carry out dynamic simulation analysis of the robot, and the reasonable design of the pre-tightening reducing mechanism is obtained. At the same time, the important influence of the pre-tightening pressure between the walking wheel and the hole wall and the spring pre-tightening force on the robot’s traction force is obtained. On this basis, the problem of vertical walking is emphatically solved, so that the robot can walk at any angle within the 90 ° range rock hole, thus expanding the application scope of the robot. Based on the theoretical analysis, a robot experimental platform is built to verify the key technologies of the robot and test the performance of the robot, including visual acoustic signal acquisition, moving speed test and traction force test, which proved the correctness of theoretical analysis and design.

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References

  1. Li, X., Gong, F., Tao, M., et al.: Failure mechanism and coupled static-dynamic loading theory in deep hard rock mining: a review[J].J rock Mech. Geotech. Eng. 9(4), 767–782 (2017)

    Google Scholar 

  2. Ma, H., Gong, Q., Wang, J., et al.: Study on the influence of confining stress on TBM performance in granite rock by linear cutting test[J].Tunn Undergr Space Technol., 57, 145–150 (2016)

  3. Li, X., Li, C., Cao, W., et al.: Dynamic stress concentration and energy evolution of deep-buried tunnels under blasting loads[J]. Int. J. Rock Mech. Min. Sci. 104, 131–146 (2018)

    Article  Google Scholar 

  4. Lin nan.: Brief introduction of APX acoustic logging tool while drilling [J]. Logging Eng. 18(4), 26–30 (2007)

    Google Scholar 

  5. Liu, X.M., Yang, Y.R., Geng, N.G.: Experimental measurement of crack porosity in rock [J]. Earthq. Res. China. 17(3), 317–321 (2001)

    Google Scholar 

  6. He, X.-q., Zhou, C., Song, D.-z., Li, Z.-l., Cao, A.-y., He, S.-q., Khan, M.: Mechanism and monitoring and early warning technology for rock burst in coal mines[J].International. J. Min. Metall. Mater. 28(07), 1097–1111 (2021)

    Article  Google Scholar 

  7. Qian qihu.Challenges faced by underground projects construction safety and countermeasures[J].Chinese. J. Rock Mech. Eng. 31(10), 1945–1956 (2012)

  8. Yongfang, L.: TBM construction of special geological full-section rock tunnel tunneling[J]. Des. Water Resource. Hydroelectric Eng. 31(3), 19–21 (2012)

    Google Scholar 

  9. Heesik, J., Kim Tae, Y., Chan, L.Y., Soo, K.Y., Jooyong, K., Yong, L.H., Ryeol, C.H.: A review: technological trends and development direction of pipeline robot systems[J]. J. Intell. Robot. Syst. 105(3) (2022)

  10. Roh, S. G., Kim, D. W., Lee, J. S., Moon, H. , & Choi, H. R.: Modularized in-pipe robot capable of selective navigation inside of pipelines [C]//IEEE/RSJ international conference on Intelligent Robots & Systems. IEEE pp 1724–1729 (2008)

  11. Kwon, Y.S., Yi, B.J.: Design and motion planning of a two-module collaborative indoor pipeline detection robot[J]. IEEE Trans. Robot. 28(3), 681–696 (2012)

    Article  Google Scholar 

  12. Kakogawa, A., Komurasaki, Y., Ma, S.: Shadow-based operation assistant for a pipeline-inspection robot using a variance value of the image histogram[J]. J. Robot. Mechatron. 31(6), 772–780 (2019)

    Article  Google Scholar 

  13. Tang, D.W., Li, Q.K., Jiang, S.Y., et al.: Differential property and traction force of tri-axial differential pipeline robot in elbow[J]. Robot. 32(1), 91–96 (2010)

    Article  Google Scholar 

  14. Xu, Z.L., Lu, S., Yang, J., et al.: A wheel-type in-pipe robot for grinding weld beads[J]. Adv. Manufact. 5(2), 182–190 (2017)

    Article  Google Scholar 

  15. Yan, H.W., Wang, Y., Ma, J.Q., et al.: Analysis of Dynamic Characteristics of over Bending of Wheeled Pipeline Robot in Elbow[J]. J. Xi’an Jiao Tong Univ. 52(8), 87–94 (2018)

    Google Scholar 

  16. Kakogawa, A., Ma, S., Hirose, S.: An in-Pipe Robot with Underactuated Parallelogram Crawler Modules[C]// IEEE International Conference on Robotics and Automation. IEEE, Piscataway, USA (2014)

    Google Scholar 

  17. Kamata, M., Yamazaki, S., Tanise, Y., et al.: Morphological change in peristaltic crawling motion of a narrow pipe inspection robotin spired by earthworm’s locomotion [J]. Adv. Robot. 32(7), 386–397 (2018)

    Article  Google Scholar 

  18. Ren, T., Liu, Q.Y., Li, Y.J., et al.: Design, analysis and innovation in variable radius active screw in-pipe drive mechanisms[J]. Int. J. Adv. Robot. Syst. 14(3) (2017)

  19. Li, P., Tang, M., Lyu, C., Fang, M. , & Liu, Y.: Design and analysis of a novel active screw-drive pipe robot [J]. Advances in Mechanical Engineering. 10(10), 1–18 (2018)

  20. Heesik, J., Moon, K.H., Sub, L.M., Heon, S.Y., Yoongeon, L., Ryeong, R.W., Ryeol, C.H.: Development of modularized in-pipe inspection robotic system: MRINSPECT VII+[J]. Robotica. 40(5) (2021)

  21. Kim, H.M., Yun, S.C., Lee, Y.G., et al.: Novel mechanism for in-pipe robot based on a multiaxial differential gear mechanism[J]. IEEE/ASME Trans. Mechatron. 22(1), 227–235 (2017)

    Article  Google Scholar 

  22. Kwon, Y.S., Yi, B.J.: Design and motion planning of a two-module collaborative indoor pipeline inspection robot[J]. IEEE Trans. Robot. 28(3), 681–696 (2012)

    Article  Google Scholar 

  23. Kwon, Y. S., Lee, B., Whang, I. C., Kim, W. K. , & Yi, B. J.: A flat pipeline inspection robot with two wheel chains [C]. IEEE International Conference on Robotics & Automation. IEEE, 5141–5146 (2011)

  24. Jinwei, Q., Jianzhong, S., Xun, C., Zirong, L.: Design of telescopic pipe robot based on CAM self-locking principle [J]. J. Mech. Eng. 46(11), 83–88 (2010)

    Article  Google Scholar 

  25. Shuaimin, L., Weijian, S.: Design of small spiral wheeled pipeline robot [J]. Mach. 36(02), 76–78 (2009)

    Google Scholar 

  26. Qingyou, L., Yujia, L., Tao, R., Yonghua, C.: Active spiral driven pipeline robot [J]. Robot. 36(06), 711–718 (2014)

    Google Scholar 

  27. Jianwei, Z., Yongsheng, Q., Lin, W.: Structure design and control implementation of a new variable diameter pipeline robot [J]. Meas. Control Technol. 33(10), 64–67 (2014)

    Google Scholar 

  28. Qi, L., Yanan, Z., Linyong, S., Jinwu, Q.: Pipeline robot adapting to pipe diameter change [J]. Mach. Des. 01, 16–19 (2007)

    Google Scholar 

  29. Tongyu, X., Qing, L., Yuwen, D.: Design and analysis of multi-module snake pipe grinding robot [J]. Robot. 42(6), 672–685 (2020)

    Google Scholar 

  30. Haiyan, T., Long, X., Zhangjun, S.: J. Beijing Inst. Petrochem. Technol. 14(2), 33–36 (2006)

    Google Scholar 

  31. Ito, F., Kawaguchi, T., Kamata, M., Yamada, Y. , & Nakamura, T.: Proposal of a peri-staltic motion type duct cleaning robot for traveling in a flexible pipe[C]. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS). IEEE, 6614–6621 (2019)

  32. Bhadoriya, A., Gupta, V.K., Mukherjee, S.: Development of in-pipe inspection robot[J]. Mater. Today: Proceed. 5(9), 20769–20776 (2018)

    Article  Google Scholar 

  33. Akbarzadeh A., Enferadi, J.: A virtual work based algorithm for solving direct dynamics problem of a 3-rrp spherical parallel manipulator [J]. J Intell Robot Syst. 63(1), 25-49 (2011)

  34. Zhang, Y.,Chung, J. H.,Velinsky, S. A.: Variable structure con-trol of a differentially steered wheeled Mobile robot.[J]. J Intell Robot Syst. 36(3), 301–314 (2003)

  35. He, X., Liu, X., Fu, H., Putra, B.B., He, L.: Visual contact angle estimation and traction control for Mobile robot in rough-terrain[J]. J. Intell. Robot. Syst. 74, 3–4 (2014)

    Google Scholar 

  36. Zhu, Y., Fei, Y., Hongwei, X.: Stability analysis of a wheel-track-leg hybrid Mobile robot[J]. J. Intell. Robot. Syst. 91, 3–4 (2018)

    Article  Google Scholar 

  37. Kim, I.-S., Han, Y.-J., Hong, Y.-D.: Stability control for dynamic walking of bipedal robot with real-time capture point trajectory optimization[J]. J. Intell. Robot. Syst. 96, 3–4 (2019)

    Article  Google Scholar 

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Acknowledgments

The support of the National Science Foundation of China—Physical simulation test system of deep tunnel / tunnel dynamic disaster (NO.51427803), is gratefully acknowledged.

Funding

Funding for this research has been provided by grants from the National Science Foundation of China—Physical simulation test system of deep tunnel / tunnel dynamic disaster (NO.51427803).

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This article presents a portion of JinLi’s master thesis, which was supervised by Liquan Li and assist supervised by Zhonglin Zhang. All authors made substantial contributions to the conception or design of the work, the analysis and interpretation of the data, and the draft of the manuscript.

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Correspondence to Zhonglin Zhang.

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Li, L., Han, R., Zhang, H. et al. Research on the Key Technology of a Small Rock Hole Inspection Robot. J Intell Robot Syst 108, 63 (2023). https://doi.org/10.1007/s10846-023-01898-z

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  • DOI: https://doi.org/10.1007/s10846-023-01898-z

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