Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52608
Title: Smartport: a platform for sensor data monitoring in a seaport based on FIWARE
Authors: Fernández, Pablo 
Santana, José Miguel 
Ortega, Sebastián 
Trujillo, Agustín 
Suárez, José Pablo 
Domínguez, Conrado
Santana, Jaisiel
Sánchez, Alejandro
UNESCO Clasification: 330499 Otras (especificar)
Keywords: 3D visualization
Big data
FIWARE
GIS
Seaport, et al
Issue Date: 2016
Journal: Sensors 
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.
URI: http://hdl.handle.net/10553/52608
ISSN: 1424-8220
DOI: 10.3390/s16030417
Source: Sensors (Switzerland) [ISSN 1424-8220], v. 16 (417)
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