Overview of Key Technologies for Remote Wireless Operation Platform on Water Surface

Authors

  • Chuanpeng Gong School of Automotive Engineering, Shandong Jiaotong University, Jinan, Shandong, 250357, China
  • Xin Huang School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan, Shandong, 250357, China
  • Aijuan Li School of Automotive Engineering, Shandong Jiaotong University, Jinan, Shandong, 250357, China
  • Xinnian Sun Research and Development Center, Hangzhou Jiahe Electric Co., Ltd, Hangzhou, Zhejiang, 310053, China
  • Huajun Chi School of Traffic Engineering, Shandong Jiaotong Vocational College, Taian, Shandong, 271099, China

DOI:

https://doi.org/10.30564/ese.v4i2.4732

Abstract

The underwater environment is complicated and full of hazards, making it tough to complete with just one piece of underwater operation equipment. Building a high-speed, low-latency wireless connection between a remote wireless operation platform on water surface and other operation platforms in order to achieve long-distance transmission of high-definition image data and control commands, as well as collaborative operations among multiple platforms, has become a development trend and focus of exploring complex and dangerous waters. This paper summarizes and elaborates on underwater communication technology, long-distance data transmission technology, multi-submersible robot collaborative operation, and information interaction technology, as well as the development status of key technologies of remote wireless operation platform on water surface. And the research direction and focus of the remote wireless operation platform on water surface are prospected.

Keywords:

Remote wireless control; Underwater communication technology; Cooperative operation; Underwater robot

References

[1] Li, M.J., Xu, T., Jia, J.Y., 2021. Overview of routing algorithms for underwater wireless sensor networks. China New Communication. 23(20), 25-27.

[2] Xu, Zh.H., 2005. Research and implementation of remote control platform based on wireless network. Nanjing University of Aeronautics and Astronautics.

[3] Zheng, X.N., 2002. Research on Internet-based remote control technology. Northwestern Polytechnic University.

[4] Xu, B., Gao, W., Yang, J.W., 2011. Research on cooperative navigation and positioning technology of multi-surface unmanned boats based on micro-inertial network. Current status and trends of microelectromechanical inertial technology - Proceedings of the Workshop on Dynamic Development Direction of Inertial Technology. Suzhou. pp. 195-199.

[5] Yao, F., Kuang, L.L., Zhan, Y.F., et al., 2010. The key technology of deep space communication antenna array and its development trend. Journal of Astronautics. 31(10), 2231-2238.

[6] Zhong, X.L., Zhou, S.W., Li, H.T., et al., 2007. Research on antenna group array signal synthesis technology. Telemetry and Remote Control. (S1), 43-48.

[7] Yu, M.G., Zhang, X., Chen, Z.H., 2017. A review of autonomous underwater robotics. Mechatronics Engineering Technology. 46(08), 155-157.

[8] Wang, Y.D.,Wang, P., Sun, P.F., 2021. A review of autonomous underwater robot control technology research. World Science and Technology Research and Development. 43(06), 636-648.

[9] Chen, Z.H., Sheng, Y., Hu, B., 2014. The development status and application of ROV in marine scientific research. Science and Technology Innovation and Application. (21), 3-4.

[10] Wu, C.S., 2020. A review of underwater micro UAV cluster development. Digital Ocean and Underwater Attack and Defense. 3(03), 192-197.

[11] Zhu, S., Chen, X., Liu, X., et al., 2020. Recent progress in and perspectives of underwater wireless optical communication. Progress in Quantum Electronics. 73, 100274. DOI: https://doi.org/10.1016/j.pquantelec.2020.100274

[12] Centelles, D., Soriano-Asensi, A., Martí, J.V., et al., 2019. Underwater wireless communications for cooperative robotics with uwsim-net. Applied Sciences. 9(17), 3526. DOI: https://doi.org/10.3390/app9173526

[13] Wang, Y.F., Zhou, M., Song, Zh.H., 2014. Research on the development of underwater wireless communication technology. Communication Technology. 47(6), 589-594.

[14] Schirripa Spagnolo, G., Cozzella, L., Leccese, F., 2020. Underwater optical wireless communications: Overview. Sensors. 20(8), 2261.

[15] Fang, Y.F., 2015. Research on underwater robot collaboration technology based on hydroacoustic communication. Ship Science and Technology. 37(6), 184-187.

[16] Hu, X.H., Hu, S.Q., Zhou, T.H., et al., 2015. Fast estimation of maximum communication distance for underwater laser communication system. China Laser. 42(08), 183-191.

[17] Ali, M.F., Jayakody, D.N.K., Chursin, Y.A., et al., 2020. Recent advances and future directions on underwater wireless communications. Archives of Computational Methods in Engineering. 27(5), 1379-1412. DOI: https://doi.org/10.1007/s11831-019-09354-8

[18] Zhou, Z., Liu, J., Yu, J., 2021. A Survey of Underwater Multi-Robot Systems. IEEE/CAA Journal of Automatica Sinica. 9(1), 1-18. DOI: https://doi.org/10.1109/JAS.2021.1004269

[19] Ma, T.Y., Yang, S.L., Wang, T.T., et al., 2014. Overview of research status and development of USV cooperative system. Ship Science and Technology.36(06), 7-13.

[20] Schmickl, T., Thenius, R., Moslinger, C., et al., 2011. CoCoRo--The self-aware underwater swarm. 2011 Fifth IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops. IEEE. pp.120-126.

[21] Jaffe, J.S., Franks, P.J.S., Roberts, P.L.D., et al., 2017. A swarm of autonomous miniature underwater robot drifters for exploring submesoscale ocean dynamics. Nature Communications. 8(1), 1-8. DOI: https://doi.org/10.1038/ncomms14189

[22] Wang, J., Cao, J., Stojmenovic, M., et al., 2019. Pattern-rl: multi-robot cooperative pattern formation via deep reinforcement learning. 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). IEEE. pp. 210-215. DOI: https://doi.org/10.1109/ICMLA.2019.00040

[23] Yang, Y., Xiao, Y., Li, T., 2021. A survey of autonomous underwater vehicle formation: performance, formation control, and communication capability. IEEE Communications Surveys & Tutorials. 23(2), 815-841. DOI: https://doi.org/10.1109/COMST.2021.3059998

[24] Yan, W., Cui, R., Xu, D., 2008. Formation control of underactuated autonomous underwater vehicles in horizontal plane. 2008 IEEE International Conference on Automation and Logistics. IEEE. pp. 822-827. DOI:https://doi.org/10.1109/ICAL.2008.4636263

[25] Yao, Y., Xu, D., Yan, W., 2009. Cooperative localization with communication delays for MAUVs. 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems. IEEE. 1, 244-249.

[26] Guang, X., 2006. Research on Distributed Intelligent Control Technology for Multi-Underwater Robots. Harbin Engineering University.

[27] Yan, Zh.P., Li, F., Huang, Y.F., 2008. Research on the application of multi-intelligent body Q-learning in multi-AUV coordination. Applied Science and Technology. (01), 57-60.

[28] Xu, D., 2018. Research on LiFi communication technology for underwater robot collaboration. Electronic Devices. (6), 1549-1553.

[29] Gussen, C.M.G., Diniz, P.S.R., Campos. M.L.R., et al., 2016. A survey of underwater wireless communication technologies. Journal of Computer Information Systems. 31(1), 242-255.

[30] Fu, W.T., 2020. Research on manned submersible-submersible multi-platform information interaction technology. Lanzhou University of Technology.

Downloads

How to Cite

Gong, C., Huang, X., Li, A., Sun, X., & Chi, H. (2022). Overview of Key Technologies for Remote Wireless Operation Platform on Water Surface. Electrical Science & Engineering, 4(2), 1–7. https://doi.org/10.30564/ese.v4i2.4732

Issue

Article Type

Review