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Autores
Orientador(es)
Resumo(s)
With the ever increasing importance of the maritime services around the world,
the need to control and monitor ports and vessels is born, thus allowing to increase/improve the level of productivity, reliability, safety and security in this field.
When it comes to safety and security, vessel monitoring is one of the most important
parts that enables the respective authorities to verify and validate the vessels, their
crews, and their missions through vessel inspections.
These vessel inspection missions, as they can be carried out in various areas
of the coastal zone, are subject to limitations that are not encountered in normal
situations, such as adverse weather conditions or lack of connection to the network
and therefore to the servers that support these types of inspections and store the
relevant information. Another limitation that arises from this lack of connection,
is the secure authentication of the inspectors and maintaining the access to the
information.
Also due to the increase in the number of vessels, there may be scalability problems with the backend systems.
To help solve these problems, a backend architecture based on microservices and
a mobile application were developed to support the inspectors by providing all the
information, in a secure way, that is needed to perform the inspections, whether the
inspector is in areas that have, or not, access to the network (online or offline).
The developed architecture consists of several independent microservices, deployed through a Kubernetes cluster, and that supports the mobile application used
by the inspectors, allowing the inspectors to store and have access to the inspection
information about the vessels, crews, vessel licenses and predictions about possible
future inspection targets, for a limited period of time after the beginning of the
inspection, thus improving security.
Descrição
Tese de mestrado, Engenharia Informática, 2023, Universidade de Lisboa, Faculdade de Ciências
Palavras-chave
Microserviços Aplicação Móvel Inspecções de Navios Kubernetes Teses de mestrado - 2023
