ClassNK has been working on the advancement of surveys using digital technology in research and development in line with their R&D roadmap developed in 2017. The Society aims to implement more sophisticated and rational surveys using various digital technologies such as IoT technology, ICT, big data, AI, condition monitoring/evaluation, and robotics. Specifically, they aim to develop remote surveys using ICT, ship survey systems for both hull and machinery based on condition monitoring/evaluation technology, and individual digital ship records using digital twins.
For remote surveys using ICT, ClassNK has investigated and examined the types of surveys that can be applied, the types and amounts of information required for remote surveys, and the requirements for the use of ICT, ensuring reliability equivalent to conventional witness surveys with transparency in the application of remote surveys. The guidelines are outcomes of these results and will be reviewed as necessary in accordance with the progress of related technology development.
ClassNK will continue to optimize their surveys using digital technology and will strive for continuous improvement in survey quality and rationalization.
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