Sintef

Maritime Data Space

Challenge

Maritime shipping companies are required by law to transmit a set of important data before entering every port. There are various industry solutions for this data exchange such as the Veracity ecosystem in the market today. All of them are very complex and time intensive to manage.

Providers and organizations on shore do not have access to ship data like emissions, fuel consumption and route details. Data access agreements between data providers such as ship owners, authorities or shipyard equippers as well as service providers that take care of for example data analysis and process improvements have to be negotiated individually.

A common ecosystem for data exchange from ship to shore , that simplifies the process and does not exist.

Success

The IDS-based Maritime Data Space brings together all participants and platforms in one trusted and secure data ecosystem. It ensures transparent access to ship-related data, enables secure, stable and efficient communication between ship and shore, and provides value-added and trusted services for ship operations.

Autonomous shipping, environmental sustainability, industry 4.0 technologies, and the connection between ships are current trends that the Maritime Data Space addresses in an innovative way.

The combination of the Norwegian DNV GL Veracity data platform with an IDS-based ecosystem strengthens Norway’s position in international maritime data exchange and sharing.

Last but not least, the Maritime Data Space satisfies customer and regulatory demand for transparency.

More on this topic

Video: Maritime Data Space presented at the "Spotlights on IDSA's Assets and Achievements" live session

By Bjørn Marius von Zernichow

P

Benefits

Transparent access to all relevant ship related data

Secure, robust and efficient communication between ship and shore

Simplified provision of trusted services for ship operation

Partners

Sintef
Navtor
Neuron
Wilhelmsen
DNV-GL

ComPONENTS

Veracity Industry Data Platform
IDS-based components such as certificate authority, connectors and brokers

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MONDRAGON ASSEMBLY EGOKIA

MONDRAGON ASSEMBLY - an international firm specializing in the development of automatization and assembly solutions for various sectors. It operates 6 production plants around the world and is part of the largest cooperative group in the world | IKERLAN Technical research center and member of IDSA

CHALLENGE:

EGOKIA solution allows collaborative learning and knowledge sharing between geographically distributed plants, integrating headquarters in Basque Country and domain experts. Thanks to the data space, data, and AI assets can be securely shared throughout different corporate sites and a new knowledge-based economy emerges.

SUCCESS:

Deploys an architecture based on IDSA connectors, linking Mondragon Assembly’s data and AI platforms from different corporate sites. With this new reliable data space, we extend the lifecycle of artificial intelligence models, enhance their capabilities, and facilitate trusted access and use of its assets by EGOKIA participants.

BENEFITS:

NEW BUSINESS MODEL: A new business model based on AI services and a knowledge-based economy. RELIABLE AI SOLUTIONS: A "standardized", flexible, and secure solution to break data silos to share and complete AI assets and processes between trusted organizations and production plants. Measurable benefits can be listed as: Up to 30% quality on models thanks to the application of federated learning techniques, reduce inversion and time to market on IA-based solutions or lower communications loads. STANDARIZED DATA SPACE – The organization is ready to take part in the knowledge economy with other entities, domain experts, and technology providers.

COMPONENTS:

Data Space connectors 8.0.2 Metada Broker 5.0.3 Identity Provider 1.6.0

Increased visibility of order delivery process

VTT | Wärtsilä | Uwira

CHALLENGE:

The use case revolves around expediting and enhancing transparency between a focal company of a manufacturing ecosystem (OEM) and its supplier in their production order management processes. The existing communication methods have proven inadequate in facilitating efficient and adaptable exchanges between the two entities. By facilitating transparency and fostering a more seamless integration between the IT systems of both companies, the management of product orders can be streamlined, resulting in heightened efficiency and a reduction in errors.

SUCCESS:

The objective is to facilitate a reliable and seamless flow of data between the OEM and its supplier by establishing a dedicated data space. The developed solution will be seamlessly integrated with pre-existing IT infrastructures of both companies and the solution is grounded in the framework of the IDS reference architecture.

The OEM can selectively disclose data from their production environment to the supplier without the fear of data leakages. Respectively, the supplier receives only the data that are essential for them and there is no need to locally extract meaningful insights and valuable information from big data sets.

BENEFITS:

The established data space solution has the potential to significantly enhance transparency between the OEM and the supplier. This gives rise to several potential benefits, including:
Effective Communication: Transparent communication helps in conveying accurate information about product specifications, requirements, changes, and timelines.
Risk Management: Sharing information about potential risks, such as changes in demand or design modifications, allows suppliers to proactively address these issues. Furthermore, in times of disruptions, such as supply shortages or unexpected market shifts, transparent communication helps both parties respond more effectively.
Cost Efficiency: Transparent communication allows both parties to work together to find cost-effective solutions.

COMPONENTS:

IDS connectors - serve as the communication interface linking the two companies and their existing IT systems. With IDS connectors, a data provider can define the rules and conditions (usage policies) under which data are shared with a data consumer.
DAPS - enables connectors to authenticate themselves using X.509 certificates. After successful authentication, the DAPS issues OAuth2 access tokens for connectors, who need these tokens to access the services and data of other connectors.
Metadata Broker— stores information about the data end-points offered by the participants. The broker provides a query interface for connectors and can hence be considered as the search engine in this use case.

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