SmartPort: A Platform for Sensor Data Monitoring in a Seaport Based on FIWARE
Pablo Fernández,
José Miguel Santana,
Sebastián Ortega,
Agustín Trujillo,
José Pablo Suárez,
Conrado Domínguez,
Jaisiel Santana,
Alejandro Sánchez
Affiliations
Pablo Fernández
IUMA Information and Communications System, Division of Mathematics, Graphics and Computation (MAGiC), University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain
José Miguel Santana
Imaging Technology Center (CTIM), University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain
Sebastián Ortega
IUMA Information and Communications System, Division of Mathematics, Graphics and Computation (MAGiC), University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain
Agustín Trujillo
Imaging Technology Center (CTIM), University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain
José Pablo Suárez
IUMA Information and Communications System, Division of Mathematics, Graphics and Computation (MAGiC), University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain
Conrado Domínguez
General Administration, University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain
Jaisiel Santana
IUMA Information and Communications System, Division of Mathematics, Graphics and Computation (MAGiC), University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain
Alejandro Sánchez
IUMA Information and Communications System, Division of Mathematics, Graphics and Computation (MAGiC), University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain
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.
