Research on Application of Radio Frequency Identification Technology in Intelligent Maritime Supervision
Title | Research on Application of Radio Frequency Identification Technology in Intelligent Maritime Supervision |
Publication Type | Conference Paper |
Year of Publication | 2021 |
Authors | Zhai, Hongqun, Zhang, Juan |
Conference Name | 2021 IEEE International Conference on Data Science and Computer Application (ICDSCA) |
Date Published | Oct. 2021 |
Publisher | IEEE |
ISBN Number | 978-1-6654-4054-7 |
Keywords | Big Data, Data Science, deterrence, Human Behavior, Internet of Things, Internet of Vessels, maritime supervision, Object recognition, pubcrawl, radio frequency identification, Radio navigation, resilience, Resiliency, Safety, Scalability, Transportation |
Abstract | The increasing volume of domestic and foreign trade brings new challenges to the efficiency and safety supervision of transportation. With the rapid development of Internet technology, it has opened up a new era of intelligent Internet of Things and the modern marine Internet of Vessels. Radio Frequency Identification technology strengthens the intelligent navigation and management of ships through the unique identification function of "label is object, object is label". Intelligent Internet of Vessels can achieve the function of "limited electronic monitoring and unlimited electronic deterrence" combined with marine big data and Cyber Physical Systems, and further improve the level of modern maritime supervision and service. |
URL | https://ieeexplore.ieee.org/document/9650169 |
DOI | 10.1109/ICDSCA53499.2021.9650169 |
Citation Key | zhai_research_2021 |