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      SmartPort: A Platform for Sensor Data Monitoring in a Seaport Based on FIWARE

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          Abstract

          Seaport monitoring and management is a significant research area, in which infrastructure automatically collects big data sets that lead the organization in its multiple activities. Thus, this problem is heavily related to the fields of data acquisition, transfer, storage, big data analysis and information visualization. Las Palmas de Gran Canaria port is a good example of how a seaport generates big data volumes through a network of sensors. They are placed on meteorological stations and maritime buoys, registering environmental parameters. Likewise, the Automatic Identification System (AIS) registers several dynamic parameters about the tracked vessels. However, such an amount of data is useless without a system that enables a meaningful visualization and helps make decisions. In this work, we present SmartPort, a platform that offers a distributed architecture for the collection of the port sensors’ data and a rich Internet application that allows the user to explore the geolocated data. The presented SmartPort tool is a representative, promising and inspiring approach to manage and develop a smart system. It covers a demanding need for big data analysis and visualization utilities for managing complex infrastructures, such as a seaport.

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          Wireless sensor networks: a survey

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            Understandable Big Data: A survey

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              A decision support system for operations in a container terminal

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                22 March 2016
                March 2016
                : 16
                : 3
                : 417
                Affiliations
                [1 ]IUMA Information and Communications System, Division of Mathematics, Graphics and Computation (MAGiC), University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain; pablo.fernandez@ 123456ulpgc.es (P.F.); mxmeater@ 123456gmail.com (S.O.); josepablo.suarez@ 123456ulpgc.es (J.P.S.); jaisiel@ 123456gmail.com (J.S.); alemagox@ 123456gmail.com (A.S.)
                [2 ]Imaging Technology Center (CTIM), University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain; agustin.trujillo@ 123456ulpgc.es
                [3 ]General Administration, University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain; gerente@ 123456ulpgc.es
                Author notes
                [* ]Correspondence: josemiguel.santana@ 123456ulpgc.es ; Tel.: +34-928-458-750
                Article
                sensors-16-00417
                10.3390/s16030417
                4813992
                27011192
                2f592b34-a8b8-41c8-b3a4-dadd490206ee
                © 2016 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 11 January 2016
                : 18 March 2016
                Categories
                Article

                Biomedical engineering
                seaport,3d visualization,fiware,big data,gis
                Biomedical engineering
                seaport, 3d visualization, fiware, big data, gis

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