DNV has granted an Approval in Principle (AiP) to Jiangnan Shipyard for its Jiangnan Intelligent System JNIS (DATA), which falls under the D-INF(S) class notation. This accolade endorses Jiangnan's platform for standardised onboard data, aligning with ISO 19847 and ISO 19848 standards.
The move marks a pivotal step in the maritime sector’s digital transformation, relying on consistent and reliable data gathered systematically from onboard sensors, control systems, and additional sources.
Importance of standardised data infrastructures
As ships generate increasingly large datasets, ensuring data reliability and consistency becomes crucial
As ships generate increasingly large datasets, ensuring data reliability and consistency becomes crucial. The efficacy of digitalisation in shipping hinges on establishing standardised data infrastructures, which safeguard secure data collection, storage, and exchange while complying with international standards.
Jiangnan Shipyard's JNIS (DATA) platform is engineered to integrate data from various equipment manufacturers, eliminate information silos, and cater to a multitude of current and future digital applications.
Collaboration for a unified data model
Under the D-INF AiP, DNV collaborated with Jiangnan Shipyard to validate their standardised ship–shore data model, create a unified database, and further Jiangnan's groundwork for digital ship construction.
Lin Qingshan, Jiangnan’s Vice President, noted, “Receiving DNV’s D-INF(S) AiP is a major milestone in our digital transformation. The validation of JNIS (DATA) by DNV strengthens our ability to deliver intelligent, future-ready vessels and supports our commitment to secure, efficient, and standardised data sharing.”
He added that the completion of a gap analysis on competence in building smart large containerships and LNG carriers sets the stage for further evolution in MASS systems and vessels.
Enhancing digitalisation in the maritime sector
The recognition of Jiangnan Shipyard highlights a steady collaboration, promoting maritime data networks
Cristina Saenz de Santa Maria, Chief Operating Officer at DNV Maritime, remarked, “Trusted data flows are fundamental for the next generation of more connected, safer, and efficient vessels. At DNV, we have developed the D-INF rules in response to the increasing demand for data-driven decision-making."
The recognition of Jiangnan Shipyard highlights a steady collaboration, promoting maritime data networks and secure infrastructure at the shipyard level, which are vital to enhancing digitalisation across the industry.
Future expansion and implementation
Jiangnan Shipyard plans to further test the system and progress towards installing it on newbuilds to assess in-service performance and ensure reliable ship-to-shore data exchange.
The system's architecture is designed for expansion, encompassing services such as remote inspection and data-driven verification (DDV). The D-INF notation confirms the system's capability to efficiently collect data from diverse sources, adhering to the ISO 19847 and ISO 19848 formats. This framework supports cost-effective, scalable, and secure data management, facilitating seamless vessel-to-shore data exchange.
In essence, an Approval in Principle (AiP) serves as an independent evaluation of a concept, confirming its feasibility and ensuring no significant technical barriers to its implementation.
DNV has awarded Jiangnan Shipyard an Approval in Principle (AiP) for its Jiangnan Intelligent System JNIS (DATA) under the D-INF(S) class notation. Jiangnan received the recognition for their standardised onboard data platform which is aligned with ISO 19847 and ISO 19848.
The accelerating digital transformation of the maritime industry depends on trusted, high-quality data collected systematically from sensors, control systems, and other onboard sources. But as vessels generate increasingly large and complex datasets, the reliability and consistency of this data is critical. To unlock the benefits of digitalisation, shipping needs standardised data infrastructures that ensure secure collection, storage, and exchange, and which are aligned with international requirements.
Range of current and future digital applications
The JNIS (DATA) platform from Jiangnan Shipyard is designed to integrate data from diverse equipment manufacturers, break down information silos, and support a wide range of current and future digital applications.
As part of the D-INF AiP, DNV has worked with Jiangnan Shipyard to validate their standardised ship–shore data model, establish a unified and structured database, and advance Jiangnan’s digital foundation for intelligent ship construction.
Further development in MASS systems and vessels
Lin Qingshan, Jiangnan’s Vice President, said: “Receiving DNV’s D-INF(S) AiP is a major milestone in our digital transformation. The validation of JNIS (DATA) by DNV strengthens our ability to deliver intelligent, future-ready vessels and supports our commitment to secure, efficient, and standardised data sharing."
"In addition, the completion of a systematic gap analysis on our competence in building smart large containerships and LNG carriers, will help us to benchmark against industry best practice and lays the groundwork for further development in MASS systems and vessels.”
Demand for data-driven decision-making
Cristina Saenz de Santa Maria, Chief Operating Officer, DNV Maritime, added: “Trusted data flows are fundamental for the next generation of more connected, safer, and efficient vessels. At DNV we have developed the D-INF rules to in response to the increasing demand for data-driven decision-making."
"We are very pleased to award Jiangnan Shipyard this AiP, it reflects a strong ongoing collaboration and ensures that maritime data networks and standardised, secure data infrastructure can be embedded at the yard level to support the industry’s drive to enhance digitalisation.”
Data collection infrastructure systems
Jiangnan will continue testing the system and move toward installation on newbuilds to verify in-service performance and secure ship-to-shore data sharing. The architecture is designed to be expandable to cover additional services and uses, including remote inspection and data-driven verification (DDV).
The D-INF notation verifies that the data collection infrastructure systems can collect data from a range of different systems and supports input and output according to a standardised ISO 19847/19848 format to support cost-effective, scalable, reliable and secure data collection, storage, and exchange of data. The rules set out requirements for a data collection infrastructure to facilitate vessel-to-shore data exchange.
An Approval in Principle (AiP) is an independent evaluation of a concept based on a predefined framework of requirements. It confirms the feasibility of the design and ensures there are no significant technical obstacles hindering its implementation.
