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

Although maritime transport is the backbone of world commerce, its digitalization lags significantly behind when we consider some basic facts. This work verifies the state-of-the-art as it currently applies to eight digital domains: Autonomous vehicles and robotics; artificial intelligence; big data; virtual reality, augmented and mixed reality; internet of things; the cloud and edge computing; digital security; and 3D printing and additive engineering. It also provides insight into each of the three sectors into which this industry has been divided: Ship design and shipbuilding; shipping; and ports. The work, based on a systematic literature review, demonstrates that there are domains on which almost no formal study has been done thus far and concludes that there are major areas that require attention in terms of research. It also illustrates the increasing interest on the subject, arising from the necessity of raising the maritime transport industry to the same level of digitalization as other industries.

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“…The four works mentioned on ports are [ 78 , 79 , 80 , 81 ], that deal with applications to port management.…”

Section: Analysis and Discussionmentioning

confidence: 99%

“…It used the architecture from the European Union Future Internet platform (FIWARE). Subsequently in 2018, this team [ 79 ] used FIRWARE to build a geographic information systems (GIS) application.…”

Section: Digitalization On Maritime Transport: the Situation At Thmentioning

confidence: 99%

Toward Digitalization of Maritime Transport?

Sanchez-Gonzalez

Díaz-Gutiérrez

Leo

et al. 2019

Sensors

131

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“…Furthermore, there is a significant presence of geospatial big data in the smart environment domain, in disaster monitoring (Fang et al, 2015), air quality management (Chinnaswamy et al, 2019;Xuyao, Hui, Kexin, Yijin, & Jinhang, 2013;Zou et al, 2021), and water and sewage management (Howell, Rezgui, & Beach, 2018). Other domains were also mentioned, such as logistics (Fernández et al, 2017;Fernández, Suárez, Trujillo, Domínguez, & Santana, 2018;Finogeev et al, 2019;Gupta, Sadana, & Gupta, 2020;Kang et al, 2016;Li et al, 2015;Suárez, Trujillo, Domínguez, & José Miguel Santana, 2015), culture and tourism (Benedusi, Chianese, Marulli, & Piccialli, 2015;Chianese, Marulli, Piccialli, Benedusi, & Jung, 2017;Li, Liao, & Huang, 2020;Mello et al, 2019), and smart water (Howell et al, 2018). Some works explained the type of geospatial data analyzed but did not specify the application domain.…”

Section: Decisionmentioning

confidence: 99%

Applications of geospatial big data in the Internet of Things

Silva

Holanda

2021

Transactions in GIS

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The Internet of Things (IoT) has emerged as a communication paradigm that allows the interconnection of devices that interact with the environment through sensors and actuators, collect data from it, and transmit these data over a network without requiring human interaction (Armstrong, Wang, & Zhang, 2019). IoT architectures can demand database management systems capable of handling high data generation and transmission rates, bringing the research on the IoT closer to the studies on big data (Ge,

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“…Por otro lado, las fuentes de Big Data en las actividades portuarias no solo provienen del sistema AIS, sino también de sistemas transaccionales, sistemas IoT de monitorización de mareas y medio ambiente, sistemas IoT para el control de grúas de carga y descarga de contenedores, entre otros [209]. Estas fuentes de Big Data no han sido consideradas principalmente porque provienen de sistemas propios de las terminales portuarias y de la autoridad portuaria.…”

Section: Motivación Y Trabajos Relacionadosunclassified

“…Finalmente, en comparación con otras propuestas las cuales se enfocan solo en la potencialización de una característica en especial. Por ejemplo, [209] propone una arquitectura de Big Data enfocado en la gestión de los datos para la visualización de los datos portuarios con tecnologías 3D. Por otro lado, [220] propone una arquitectura para el análisis de la gran cantidad de datos generados por AIS enfocado en el procesamiento batch.…”

Section: Comparativa De La Arquitectura General Con Arquitecturas Simunclassified

Arquitectura de análisis de datos generados por el internet de las cosas IoT en tiempo real.

Jácome¹,

Fernando²

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avanços en la tecnologia de fog computing i els models de serveis de cloud computing per a implementar les seues funcionalitats. L arquitectura presentada ha sigut aplicada a tres casos d usos derivats dels projectes europeus ACTIVAGE i PixelPort finançats per la Unió Europea. El primer d ells té l objectiu de monitoritzar, controlar i guiar durant el tractament de la apnea del somni en adults majors. El segon persegueix la detecció primerenca de caigudes en adults majors basat en algoritmes de Intel•ligència Artificial. I l Últim té l objectiu de explotar el Big Data compartint en l espai de dades industrials per a entorns marítims amb el fi de proporcionar informació rellevant per a la planificació de les operacions dels vaixells de contenidors.

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

Cited by 13 publications

References 13 publications

Toward Digitalization of Maritime Transport?

Toward Digitalization of Maritime Transport?

Applications of geospatial big data in the Internet of Things

Arquitectura de análisis de datos generados por el internet de las cosas IoT en tiempo real.

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