Vaño, R.; Lacalle, I.; Molina Moreno, B.; Palau Salvador, CE. (2021). Leveraging IoT and prediction techniques to monitor COVID-19 restrictions in port terminals. IEEE. 205-210. https://doi.org/10.1109/WF-IoT51360.2021.9595919
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/191293
Title:
|
Leveraging IoT and prediction techniques to monitor COVID-19 restrictions in port terminals
|
Author:
|
Vaño, Rafael
Lacalle, Ignacio
Molina Moreno, Benjamin
Palau Salvador, Carlos Enrique
|
UPV Unit:
|
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
|
Issued date:
|
|
Abstract:
|
[EN] Social distance restrictions have posed several challenges for the management of logistic nodes even in open spaces like a maritime port terminal. The Internet of Things combined with the simulation of supply chains ...[+]
[EN] Social distance restrictions have posed several challenges for the management of logistic nodes even in open spaces like a maritime port terminal. The Internet of Things combined with the simulation of supply chains provide the perfect breeding ground for devising innovative tools to help ports observe those restrictions. The objective of this paper is to devise such a tool based on research open results, proposing a clear architecture and use-case to be leveraged by maritime ports. Internet of Things techniques such as gathering heterogeneous data through a context broker, managing the Big Data generated and applying innovative models over that data set the foundations of the proposed system. The actual tool has been achieved as a result, together with a clear plan on future works that may build upon it.
[-]
|
Subjects:
|
Architecture
,
COVID-19
,
Density
,
Internet of Things
,
Monitoring
,
Port terminal
,
Real-time
,
Supply chain
|
Copyrigths:
|
Reserva de todos los derechos
|
ISBN:
|
978-1-6654-4431-6
|
Source:
|
The 2021 IEEE 7th World Forum on Internet of Things (WF-IoT) conference proceedings.
|
DOI:
|
10.1109/WF-IoT51360.2021.9595919
|
Publisher:
|
IEEE
|
Publisher version:
|
https://doi.org/10.1109/WF-IoT51360.2021.9595919
|
Conference name:
|
IEEE 7th World Forum on Internet of Things (WF-IoT 2021)
|
Conference place:
|
New Orleans, USA
|
Conference date:
|
Junio 14-Julio 31,2021
|
Project ID:
|
info:eu-repo/grantAgreement/EC/H2020/769355/EU
|
Thanks:
|
This work is part of the PIXEL project that has received
funding from the European Union's Horizon 2020 research
and innovation programme under grant agreement No
769355.
|
Type:
|
Comunicación en congreso
Capítulo de libro
|