PIXEL

Port IoT for Environmental Leverage

Duration

Start: Nov-2019

End: Sep-2021

 

Description

TBC

 

Estimated Impact

TBC

 

Participation

PIXELPORTS project (Maritime Ports, Big Data and IoT) developing a methodology to integrate data from heteregeneous IoT data sources by using Industrial Data Spaces (IDS) architecture. Developing a system to detect and predict the Valencia Port pollutants by using Big Data and Machine Learning. Designing a methodology to estimate vessels time at anchorage zone to reduce the pollution by using procedures such as slow steaming.

 

Cordis

Link: https://cordis.europa.eu/project/id/769355

 

References

2020

  1. IEEE Access
    Seaport Data Space for Improving Logistic Maritime Operations
    David Sarabia-Jácome, Carlos E. Palau, Manuel Esteve, and 1 more author
    IEEE Access, Mar 2020
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2019

  1. WF-IoT
    Efficient Deployment of Predictive Analytics in Edge Gateways: Fall Detection Scenario
    David Sarabia-Jácome, Ignacio Lacalle, Carlos E. Palau, and 1 more author
    In 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Apr 2019
    HTML