3D-Monitoring Big Geo Data on a seaport infrastructure based on FIWARE

Pablo Fernández (), José Pablo Suárez (), Agustín Trujillo (), Conrado Domínguez () and José Miguel Santana ()
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Pablo Fernández: University of Las Palmas de Gran Canaria
José Pablo Suárez: University of Las Palmas de Gran Canaria
Agustín Trujillo: University of Las Palmas de Gran Canaria
Conrado Domínguez: University of Las Palmas de Gran Canaria
José Miguel Santana: University of Las Palmas de Gran Canaria

Journal of Geographical Systems, 2018, vol. 20, issue 2, No 3, 139-157

Abstract: Abstract Many organizations of all kinds are using new technologies to assist the acquisition and analysis of data. Seaports are a good example of this trend. Seaports generate data regarding the management of marine traffic and other elements, as well as environmental conditions given by meteorological sensors and buoys. However, this enormous amount of data, also known as Big Data, is useless without a proper system to organize, analyze and visualize it. SmartPort is an online platform for the visualization and management of a seaport data that has been built as a GIS application. This work offers a Rich Internet Application that allows the user to visualize and manage the different sources of information produced in a port environment. The Big Data management is based on the FIWARE platform, as well as “The Internet of Things” solutions for the data acquisition. At the same time, Glob3 Mobile (G3M) framework has been used for the development of map requirements. In this way, SmartPort supports 3D visualization of the ports scenery and its data sources.

Keywords: GIS; Seaport; Smart port; FIWARE; G3M; 3D visualization; Big Data; Georeferenced data (search for similar items in EconPapers)
JEL-codes: O14 O33 Y10 (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s10109-018-0269-2

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