Design of an AR-based assembly guidance and remote maintenance system for complex electromechanical equipment
DOI:
https://doi.org/10.71451/ISTAER2558Keywords:
Swinburne College of Shandong University of Science and Technology, Jinan, ChinaAbstract
This paper addresses the challenges of high precision requirements, complex operations, and scarce expert resources in the assembly and maintenance of complex electromechanical equipment. It designs and implements an integrated guidance and remote maintenance system based on augmented reality (AR) technology. The research first constructs a core technical solution integrating hybrid tracking and registration, dynamic information visualization, and real-time remote collaboration. Then, it elaborates on the system's layered architecture and modular design and completes the development of a prototype system using a precision reducer for industrial robots. Test results show that the system effectively improves the accuracy and efficiency of assembly operations and significantly enhances the sense of presence and effectiveness of remote collaborative maintenance, providing valuable theoretical reference and practical examples for the in-depth application of AR technology in the field of industrial precision operation.
References
[1] Malta, A., Farinha, T., & Mendes, M. (2023). Augmented reality in maintenance-history and perspectives. Journal of Imaging, 9(7), 142. DOI: https://doi.org/10.3390/jimaging9070142 DOI: https://doi.org/10.3390/jimaging9070142
[2] Sattarpanah Karganroudi, S., Silva, R. E., Chahdi El Ouazani, Y., Aminzadeh, A., Dimitrova, M., & Ibrahim, H. (2022). A novel assembly process guidance using augmented reality for a standalone hybrid energy system. The International Journal of Advanced Manufacturing Technology, 122(7), 3425-3445. DOI: https://doi.org/10.1007/s00170-022-10122-5 DOI: https://doi.org/10.1007/s00170-022-10122-5
[3] Xue, Z., Yang, J., Chen, R., He, Q., Li, Q., & Mei, X. (2024). AR-assisted guidance for assembly and maintenance of avionics equipment. Applied Sciences, 14(3), 1137. DOI: https://doi.org/10.3390/app14031137 DOI: https://doi.org/10.3390/app14031137
[4] Zhao, Y., Jin, X., & Wang, B. (2025, July). Augmented reality-based remote maintenance for shipboard equipment: a comprehensive framework. In Fourth International Conference on Electronics Technology and Artificial Intelligence (ETAI 2025) (Vol. 13692, pp. 850-859). SPIE. DOI: https://doi.org/10.1117/12.3068910 DOI: https://doi.org/10.1117/12.3068910
[5] Tang, Q., & Xiao, Y. (2024, August). VR/AR-based reducer operational status monitoring and maintenance system. In Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024) (Vol. 13229, pp. 478-487). SPIE. DOI: https://doi.org/10.1117/12.3038132 DOI: https://doi.org/10.1117/12.3038132
[6] Koteleva, N. I., Zhukovskiy, Y. L., & Valnev, V. (2021, February). Augmented reality technology as a tool to improve the efficiency of maintenance and analytics of the operation of electromechanical equipment. In Journal of Physics: Conference Series (Vol. 1753, No. 1, p. 012058). IOP Publishing. DOI: https://doi.org/10.1088/1742-6596/1753/1/012058 DOI: https://doi.org/10.1088/1742-6596/1753/1/012058
[7] Yu, Y., Sun, M., & Chen, C. (2025, March). Design of an Augmented Reality-Based Remote Maintenance and Disassembly System. In 2025 5th International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA) (pp. 1573-1578). IEEE. DOI: https://doi.org/10.1109/AIITA65135.2025.11048139
[8] Runji, J. M., Lee, Y. J., & Chu, C. H. (2022). User requirements analysis on augmented reality-based maintenance in manufacturing. Journal of Computing and Information Science in Engineering, 22(5), 050901. DOI: https://doi.org/10.1115/1.4053410 DOI: https://doi.org/10.1115/1.4053410
[9] Xie, J., Liu, S., & Wang, X. (2022). Framework for a closed-loop cooperative human Cyber-Physical System for the mining industry driven by VR and AR: MHCPS. Computers & Industrial Engineering, 168, 108050. DOI: https://doi.org/10.1016/j.cie.2022.108050 DOI: https://doi.org/10.1016/j.cie.2022.108050
[10] Ancione, G., Saitta, R., Bragatto, P., Fiumara, G., & Milazzo, M. F. (2023). The Use of Augmented Reality for the Management of Equipment Ageing with a Virtual Sensor. Applied Sciences, 13(13), 7843. DOI: https://doi.org/10.3390/app13137843 DOI: https://doi.org/10.3390/app13137843
[11] Fang, W., Zhang, T., Chen, L., Cao, Y., Hu, H., & Bi, J. (2025). HiMAR: a hierarchical context-aware mobile AR assembly for large-scale cable products. International Journal of Production Research, 1-22. DOI: https://doi.org/10.1080/00207543.2025.2568740 DOI: https://doi.org/10.1080/00207543.2025.2568740
[12] Ortega, M., Ivorra, E., Juan, A., Venegas, P., Martínez, J., & Alcañiz, M. (2021). Mantra: An effective system based on augmented reality and infrared thermography for industrial maintenance. Applied Sciences, 11(1), 385. DOI: https://doi.org/10.3390/app11010385 DOI: https://doi.org/10.3390/app11010385
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