摘要(英) |
With the rapid development of technology and communication technology, the team can use remote-operated robots to monitor various environmental data, break the traditional thinking in the field of civil engineering, and integrate the era of human-robot collaboration. According to the revised regulations of the "Highway and Bridge Inspection and Reinforcement Specifications" and "Highway Maintenance Specifications" promulgated by the Ministry of Communications of Taiwan in 2020, the highway maintenance agency should conduct regular bridge inspections, major accidents, or disasters. The crisis awareness of inspection has been improved. As for the traditional detection methods of bridge structures, for example, personnel are often in dangerous working environments, including high-altitude operations or closed narrow maintenance channels, which bring much inconvenience to detection and over-reliance on large-scale auxiliary equipment. The equipment and the various protective equipment that must be installed all generate additional construction costs. In recent years, management efficiency has been poor due to the lack of human resources, and the fiscal revenue levels of various local governments have been uneven—unnecessary manufactured disasters caused by regular inspection operations.
The core purpose of this research is to introduce the engineering community and commercialization as the starting point. In the initial development stage, the focus will be on design analysis, and in the later stage, it will be applied to a new bridge inspection and climbing robot mediated by steel structures through practical verification (HMICRobot). Various climbing forms are developed from relevant international research materials. Among them, the 2-legged bionic cockroach robot best meets the actual climbing needs and legal restrictions. Under this framework, 7 model versions are optimized and designed in sequence. HMICRobot is the current final entity. The modified version can satisfy most climbing fields in three-dimensional plane space. In addition, through mechanism optimization, mechanism material application, mechanical virtual prototyping development tool (ADAMS multi-body dynamics software), and electromechanical integration, five kinds of applications were designed for HMICRobot to be applied to steel structure bridge climbing paths and static balance analysis for buckles. Because it is the first generation of physical models, the influence of dynamic effects is excluded first, so it is conducive to early detection of design flaws in the development stage. In the experimental stage, the climbing robot was introduced into the closed field, and the steel plate was erected to simulate the internal conditions of the steel bridge for testing to verify the feasibility evaluation of the climbing adhesion and torque parameter values. In addition, the difference between HMICRobot and other similar climbing robots is that it integrates the advantages of foot type (high mobility) and wheel type (fast speed). Easily use the rollers and arms to touch the wall, increase the climbing combination and high mobility of the climbing robot, make it a vehicle that can be equipped with inspection equipment, and prove that this research and development has been able to complete the climbing task in an operational mode. |
參考文獻 |
1. Syrykh, N.V. and V.G. Chashchukhin, Wall-Climbing Robots with Permanent-Magnet Contact Devices: Design and Control Concept of the Contact Devices. Journal of Computer and Systems Sciences International, 2019. 58(5): p. 818-827.
2. Brusell, A., G. Andrikopoulos, and G. Nikolakopoulos, A Survey on Pneumatic Wall-Climbing Robots. 2016.
3. Zhou, X., Climbot: A modular bio-inspired biped climbing robot. 2018.
4. Lu, X., et al., Design and analysis of a climbing robot for pylon maintenance. Industrial Robot, 2018. 45.
5. Nguyen, S.T. and H.M. La. Development of a Steel Bridge Climbing Robot. in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2019.
6. Sirken, A., et al. Bridge risk investigation diagnostic grouped exploratory (BRIDGE) bot. in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2017. IEEE.
7. Nguyen, S.T., et al., Multi-directional Bicycle Robot for Steel Structure Inspection. 2021.
8. Bandyopadhyay, T., et al. Magneto: A versatile multi-limbed inspection robot. in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2018. IEEE.
9. Minor, M., et al., Design, implementation, and evaluation of an under-actuated miniature biped climbing robot. Vol. 3. 2000. 1999-2005 vol.3.
10. Krosuri, S. and M. Minor, Design, Modeling, Control, and Evaluation of a Hybrid Hip Joint Miniature Climbing Robot. I. J. Robotic Res., 2005. 24: p. 1033-1053.
11. Gradetsky, V., et al., Structure of wall climbing robot control system. 2019. A3-1.
12. Grieco, J.C., et al. A six-legged climbing robot for high payloads. in Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No. 98CH36104). 1998. IEEE.
13. Viegas, C. and M. Tavakoli. A single DOF arm for transition of climbing robots between perpendicular planes. in 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2014.
14. Tavakoli, M., et al., Magnetic omnidirectional wheels for climbing robots. 2013. 266-271.
15. Ward, P., et al., Optimal design of a magnetic adhesion for climbing robots. 2013. 375-382.
16. Khan, M.B., et al., iCrawl: An Inchworm-Inspired Crawling Robot. 2020. 8: p. 200655-200668.
17. Nguyen, S., et al., A Practical Climbing Robot for Steel Bridge Inspection. 2020. 9322-9328.
18. Bui, H.-D. and H.M.J.a.p.a. La, Control and Navigation Framework for a Hybrid Steel Bridge Inspection Robot. 2021.
19. Malley, M.J., Army Ant Inspired Adaptive Self-Assembly with Soft, Climbing Robots. 2020, Harvard University.
20. Zhang, W., W. Zhang, and Z. Sun, A reconfigurable soft wall-climbing robot actuated by electromagnet. International Journal of Advanced Robotic Systems, 2021. 18: p. 172988142199228.
21. Nguyen, S.T. and H.M. La, Roller chain-like robot for steel bridge inspection. 2019.
22. Siyuan, W., Research status and future development of wall-climbing robot. 2021. 122-130.
23. Peidró, A., et al., Design of compact switchable magnetic grippers for the HyReCRo structure-climbing robot. 2019. 59: p. 199-212.
24. Romao, J., et al., InchwormClimber: A light-weight biped climbing robot with a switchable magnet adhesion unit. 2015.
25. Lee, J.-Y., J. An, and C.K.J.A.m.t. Chua, Fundamentals and applications of 3D printing for novel materials. 2017. 7: p. 120-133.
26. Hwang, Y., Y. Minami, and M. Ishikawa, Virtual Torque Sensor for Low-Cost RC Servo Motors Based on Dynamic System Identification Utilizing Parametric Constraints. Sensors, 2018. 18: p. 3856.
27. Zhang, L. and X. Shen. Research and development of real-time monitoring system based on WebSocket technology. in Proceedings 2013 international conference on mechatronic sciences, electric engineering and computer (MEC). 2013. IEEE.
28. Zhang, B., et al., Dynamic simulation analysis of humanoid robot walking system based on ADAMS. 2019. 24(1): p. 58-63.
29. Zhao, Y. and H. Wang. Kinematics simulation analysis and trajectory planning of a moving robot based on ADAMS. 2017.
30. Han, L., et al., The development status of ship wall-climbing robot. 2021. 231-237.
31. Chen, R., A Gecko-Inspired Electroadhesive Wall-Climbing Robot. Potentials, IEEE, 2015. 34: p. 15-19.
32. Wang, W., K. Wang, and H.J.P.i.N.S. Zhang, Crawling gait realization of the mini-modular climbing caterpillar robot. 2009. 19(12): p. 1821-1829.
33. Yuan, Y.-Y., et al. Design and implementation of an inchworm robot. in 2016 International Conference on Advanced Robotics and Intelligent Systems (ARIS). 2016. IEEE.
34. Ning, J., C. Ti, and Y.J.J.R.A. Liu, Inchworm inspired pneumatic soft robot based on friction hysteresis. 2017. 1(1): p. 54-63.
35. Han, I.H., et al., A miniaturized wall-climbing segment robot inspired by caterpillar locomotion. 2017. 12(4): p. 046003.
36. Moreira, F., et al., An inchworm-inspired robot based on modular body, electronics and passive friction pads performing the two-anchor crawl gait. 2018. 15(5): p. 820-826.
37. Eto, H. and H. Asada, Development of a Wheeled Wall-Climbing Robot with a Shape-Adaptive Magnetic Adhesion Mechanism. 2020. 9329-9335. |