Research on ship tracking and control for COVID-19 epidemic prevention based on multi-source information fusion
5th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2022
; : 272-275, 2022.
Article
in English
| Scopus | ID: covidwho-2161365
ABSTRACT
With the normalization of COVID-19 epidemic prevention and control, big data analysis technology has become an important support for scientific and accurate prevention and control. As a transportation means for water traffic, ship management plays an important role in the whole COVID-19 epidemic prevention system. It is the key to improve the efficiency of water traffic epidemic prevention to identify and track the key ships. To improve the efficiency and accuracy of key ships identification and tracking in epidemic prevention and control, a real-time ship tracking and control platform for epidemic prevention is proposed. By fusing the multi-source information, the platform changes the epidemic prevention way of water traffic from the manual query method to the data analysis method. The platform has been applied in the local maritime regulatory department, and it improves the identifying, tracking and control efficiency of key ships. © 2022 IEEE.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
5th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2022
Year:
2022
Document Type:
Article
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