LR launches the industry’s first artificial intelligence registry.

Lloyd’s Register (LR) has launched an Artificial Intelligence (AI) Registry, a standardized digital registry of LR certified AI providers and solutions, a first of its kind for the marine industry.

AI technology, engineering systems that have hardware and software elements that mimic the human ability to observe, understand and make decisions, continues to develop in the maritime realm with applications ranging from twins digital, virtual commissioning and autonomous navigation systems. To support this technology adoption, LR’s AI Registry has been developed to report proven and trusted AI technology to help maritime stakeholders benefit from the latest applications.

The AI ​​Registry will help maritime stakeholders find appropriate vendors and solutions to business challenges, minimizing the risks and costs of investing in AI technology. AI vendors can also use the registry to assess existing technology and solutions in the market.

Each AI solution listed in the LR AI registry will be classified according to its LR certification status, such as Digital Twin Ready, Digital Twin Approved, Digital Twin Commissioned, and Digital Twin Live from LR’s ShipRight digital compliance framework. The AI ​​ledger will also provide details on what the specific solution offers, such as key business benefits, target applications, functions and performance.

AI providers currently listed in LR’s AI registry include Furuno, HAT Analytics, Korea Shipbuilding & Offshore Engineering (KSOE), Samsung Heavy Industries (SHI), Hyundai Heavy Industries (HHI), and ZhenDui Industrial Artificial Intelligence (ZDIAI ).

Luis Benito, Director of Innovation at LR, said: “Recent developments in artificial intelligence have led to an increase in the number of AI applications in the maritime sector, but there is a lack of information and advice on these solutions and potential suppliers, which means that maritime stakeholders manage the risk of investing in untested technology.

“LR’s new AI registry, the first of its kind for the maritime industry, was designed to help maritime players find safe and proven suppliers and solutions, so that they can successfully benefit from these technological advances,” ultimately improving business results and competitive advantage, ”adds Joseph Morelos, head of technology innovation at LR.

Theodoros Katemidis, Managing Director of Furuno Hellas, said: “As a leading manufacturer of electronic equipment and systems in the maritime industry, we firmly believe that AI technology is essential for our products to deliver the best performance at the lowest life cycle cost. The AI ​​Registry articulates the value of our AI technology to existing and potential customers by enabling them to make their purchasing decision. Furuno’s remote monitoring and troubleshooting platform called HermAce, certified in cybersecurity by LR, includes an AI-enabled digital twin of the trip data recorder, with plans to generate more AI applications for shipping in the near future.

LR’s AI register is accessible here.

This announcement is underpinned by LR’s digital strategy which aims to deliver tangible benefits to our customers and partners, helping them drive business results through the safe and appropriate adoption of new technologies. Our digital solutions enable clients to optimize the performance of their assets, employees and business, while opening new growth opportunities. Our journey aligns with what matters most to customers, in accordance with the right technical solutions: we take a customer-driven approach.


Remarks to publishers

LRShip rightDigitalCompliance framework

LR provides assurance of the safety and performance of deployed technologies based on digital and artificial intelligence for maritime, such as digital twin technology, and applies its LR ShipRight digital compliance framework to qualify the technology and its results .

LR’s digital compliance framework has four distinct stages, with each stage providing a unique benefit to both the digital twin developer and the end user of a digital twin.

  1. Capacity assessment of the “Digital Twin Ready” developer. Evaluates a developer’s systems engineering approach, including their software engineering practices relevant to the development and maintenance of digital twins throughout their lifecycle.
  2. “Digital Twin Approved” Independent verification of specific digital twin (s). Defines and limits the capabilities and limitations of each digital twin under review. Sequentially applies verification based on the requirements of the digital twin, first through independent analysis and then moving on to different forms of verification testing.
  3. “Digital Twin Commissioned” Risk-based resilience analysis of specific digital twins and their support system. Selection and analysis of specific high consequence false negative events, i.e. a digital twin fails to detect a high consequence failure under cover. The false negative event is reversed to identify issues such as cybersecurity vulnerabilities, human factors, etc. and how these can contribute, propagate the false negative event (s) allowing for design changes and / or operational mitigations.
  4. “Digital Twin Live” Validation of specific digital twin (s). Monitors actual performance of digital twins initially through controlled commissioning, then continuously through event-based validation of fault detection and diagnostic information. The validation confirms the reproducibility of correct and precise information about the digital twins, including their statistical relevance, as the digital twin is scaled through installation on hundreds / thousands of physical assets.

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