The main objective of H2020 BigDataOcean1 EU project is to enable maritime big data scenarios for EU-based companies, organisations and scientists, through a multi-segment platform that will combine data of different velocity, variety and volume under an inter linked, trusted, multilingual engine to produce a big-data repository of value and veracity back to the participants and local communities. BigDataOcean aims to capitalise on existing modern technological breakthroughs in the areas of the big data driven economy, and roll out a completely new value chain of interrelated data streams coming from diverse sectors and languages and residing on cross technology innovations being delivered in different formats (as well in different states, e.g. structured/unstructured, real-time/batches) in order to revolutionise the way maritime-related industries work, showcasing a huge and realistic economic, societal and environmental impact, achieved by introducing an economy of knowledge into a traditional sector.

The main outputs of the project are novel services and applications that allow maritime-related industries, organisations and stakeholders in general to generate more (a) factual and evidence-based analytics, (b) decision support models, and (c) new business services focused on real-time collaboration, knowledge sharing amongst the key stakeholders, based on both (i) real-time data streams taking into consideration the data and temporal granularity aspects, and (ii) on batch processed data to extract analytics and intelligence to influence strategic mid-term and long-term operations planning. BigDataOcean aims to constitute the central node of a dynamic and expanding network.

The BDO consortium consists of 10 partners including industrial partners, research institutes and technology providers and integrators. BDO partners include: NTUA (coordinator), UBITECH, MarineTraffic, ANEK, Foinikas, ISMB, HCMR, R&D Nester, Universitat Bonn, UNINOVA. The entire project is driven by four industrial pilots, exploring four major use cases regarding big data applications in the maritime environment: one referring to security and anomaly detection; one referring to maritime environment protection; one referring to electrical power productions through waves’ energy; and one  referring to vessels’ fault prediction and proactive maintenance.

If you would like to learn more about the anomaly detection service  request a digital copy to of the anomaly detection whitepaper.

If you would like to access the anomaly detection service as a trial user, please contact us at research@marinetraffic.com.

Cordis page: https://cordis.europa.eu/project/id/732310

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