Abstract
Due to the increasing fuel price, the European fishing sector has been suffering a descendent trend since 1998. It is essential to find efficient solutions, through R&D, by the application of new technologies. This paper presents a portable, scalable and reusable data acquisition system for the categorization of energy consumption distribution in fishing vessels. Furthermore tools for processing, displaying and spreading the collected data have been developed. The resulting information will enable further analysis in order to draw energy savings and energy efficiency improvements.
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© 2009 Springer-Verlag Berlin Heidelberg
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Villarroya, S., Otero, M.J.L., Romero, L., Cotos, J.M., Pita, V. (2009). Modular and Scalable Multi-interface Data Acquisition Architecture Design for Energy Monitoring in Fishing Vessels. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_77
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DOI: https://doi.org/10.1007/978-3-642-02481-8_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02480-1
Online ISBN: 978-3-642-02481-8
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