Maritime classification society Lloyd’s Register (LR) has entered a memorandum of understanding (MoU) with Samsung Heavy Industries (SHI) for the development of an autonomous ready ship design.
Under the MoU, LR will carry out cooperative studies on autonomous systems in navigational autonomy.
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Its scope of work will include commissioning procedures, verification, guidelines for autonomous systems and validation activities.
Under the autonomous ready ship design, LR will also certify SHI’s new Samsung Autonomous Ship (SAS) with SVISION system.
An autonomous navigation system, SAS aims to help remove human error and prevent maritime accidents.
It combines existing navigation equipment, such as RADAR, CONNING, and electronic chart display and information system (ECDIS) with track control system (TCS), with SHI’s new SVISION system.
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By GlobalDataSAS can be deployed on a vessel’s system alongside other software and enables the assessment of collision risks while helping to control a ship’s direction and speed.
SHI shipbuilding sales engineering team president and CEO Jin-Taek Jung said: “This long and good partnership from early Digital Transformation to the Autonomous Ready Technology is concrete and expected to be a major key to the evolution of maritime industries.”
Designed to automatically carry out measurement and diagnosis tasks on ships, SHI’s SVESSEL condition-based maintenance (CBM) will also be certified under the project to facilitate remote fault detection for machinery.
Furthermore, LR certified SHI’s digitised electronic logbook system, SVESSEL eLogbook.
This electronic logbook will replace paper navigation logs with automated data entry from voyages.
It also revealed a Statement of Fact for SHI’s SVESSEL Carbon Intensity Indicator (CII) Solution, which offers real-time monitoring and reporting of CII to support International Maritime Organisation (IMO) greenhouse gas requirements.
LR Group CEO Nick Brown said: “Leading our industry’s transformation starts with partnerships like this that support the growing demand for operational benefits, such as improved efficiency, reduced workloads for crew and higher safety performance via increased autonomy.”
