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Towards Environmental Impact Reduction Leveraging IoT Infrastructures: The PIXEL Approach

  • Ignacio LacalleEmail author
  • Miguel Ángel Llorente
  • Carlos E. Palau
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11874)

Abstract

Ports are essential nodes in the global supply chain. Usually, the port-cities experience growth and sustainability thanks to the port activities and their related stakeholders. However, it is undeniable that port operations have an impact on the environment, the city and citizens living nearby. To mitigate this impact, the ports of the future will need to count with advanced tools enabling measurement and actuation over the harmful pollution sources. Modelling the footprint and gathering information about the causes are not easy tasks, as ports are complex environments with no standard procedures established yet for these purposes. These challenges are added to another current truth: data about real-time port operations are not optimally gathered neither exploited due to, mainly, a marked lack of interoperability.

PIXEL (Port IoT for environmental leverage) aims at creating the first smart, flexible and scalable solution reducing the environmental impact while enabling optimization of operations in port ecosystems. This approach relies on the most innovative ICT technology for ports building upon an interoperable open IoT platform. PIXEL use-cases are also presented in this paper, aiming to demonstrate, through various analytic services, a valid architecture drawing from heterogeneous data collection, data handling under a common model, data storage and data visualization.

Besides that, PIXEL devotes to decouple port’s size and its ability to deploy environmental impact mitigation specifying an innovative methodology and an integrated metric for the assessment of the overall environmental impact of ports.

Keywords

IoT Small and medium ports Environmental impact PIXEL 

Notes

Acknowledgements

This work is part of PIXEL project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 769355.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ignacio Lacalle
    • 1
    Email author
  • Miguel Ángel Llorente
    • 2
  • Carlos E. Palau
    • 1
  1. 1.Universitat Politècnica de ValènciaValenciaSpain
  2. 2.ProdevelopValenciaSpain

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