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NYK and DNV GL release first vessel data project findings

(l-r) Hideyuki Ando, MTI/NYK Group: Trond Hodne, DNV GL – Maritime; Svein Steimler, NYK Group Europe (l-r) Hideyuki Ando, MTI/NYK Group: Trond Hodne, DNV GL – Maritime; Svein Steimler, NYK Group Europe

NYK and DNV GL have presented the first results of an ongoing maritime data centre pilot project involving the companies, which collects operational data from NYK vessels on DNV GL’s recently launched Veracity data platform to monitor vessel performance and support condition-based maintenance.

{mprestriction ids="1,2"}The collaboration between NYK and DNV GL, supported by engine manufacturer MAN Diesel & Turbo, started in November 2015. Over the past 18 months, four NYK container vessels have been uploading operational data to the platform.

The pilot project has been run in several phases. The first phase has been to build the required components, such as data collection and data management. The second phase focuses on testing data quality, security, access rights and curation of data for use in various applications such as predictive maintenance and vessel performance. The upcoming third phase will look to pilot new digital business models.

“Information & Communication Technology (ICT) is growing rapidly and transforming traditional industries. In the maritime industry, we are now at the beginning of an era to pursue ICT-enhanced technical innovations where industry partners form organic collaborations,” said Tadaaki Naito, president of NYK.

“IoT (Internet of Things) data produced by ships in operation is the key to such collaborations. We, NYK, need a secure, reliable, neutral, and competitive open ICT platform to share and utilise our data with industry partners, and proper business rules for accelerating data-driven innovations. The promotion of data sharing brings a new opportunity for talented ICT technicians and data scientists to step into our maritime industry, resulting in a co-evolution of our industry with digital talent that allows us to reach higher.”

“We share such an open platform concept with DNV GL and MAN, and are cooperating in the pilot process of proving the validity of the concept and building a real working platform by sharing NYK ships’ operational data with MAN over DNV GL’s Veracity industry data platform.”

As part of the pilot project a hierarchical data model is developed, creating a digital twin which links to sensor signals from equipment on board the vessels. Machine learning algorithms evaluate the data quality in terms of uniqueness, completeness, and a variety of other parameters.

By drilling down into the data, the ship manager can see if all sensors on board the vessel are working properly and identify non-performing sensors which may lead to low data quality or missing data during a voyage.

“We are honoured that NYK and MAN Diesel & Turbo have entrusted us with their valuable data and worked to explore the future of maritime Big Data infrastructure, value creation and business models,” said Knut Ørbeck-Nilssen, CEO DNV GL – Maritime.

“As a classification society our main role is to assess the condition of the hull and critical components. With this pilot project we are able to test a sensor-based class concept where condition-based surveys may be performed.”

“Furthermore, the project has allowed us to test how Veracity functions in terms of data quality, security and access rights. The pilot project has also been a valuable test bed for data standardisation and data quality, including curation of the data for further use.”{/mprestriction}

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