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Paradigm Shift and New Approach

  • Rapid digitalization in the maritime sector is characterized by ships filled with sensors, dashboards, and data streams measuring structural loads, motions, machinery performance, and environmental conditions
  • A paradox of more data but less understanding is highlighted, where data without physical meaning, context, and integration is described as noise rather than actionable insight
  • Many digital twins are portrayed as static models updated infrequently and disconnected from operational decision-making, creating an illusion of progress when safety and reliability are not improved
  • A shift toward tightly coupled real-time sensing, physics-based digital twins, engineering models, and domain expertise is framed as necessary for transforming data into actionable knowledge
  • The limitations of inspection after damage, reactive maintenance, and component-by-component thinking are identified as misaligned with long, tightly coupled sociotechnical systems
  • A paradigm shift toward digital healthcare engineering is presented, emphasizing continuous monitoring, diagnosis, early intervention, predictive engineering, and integrated ecosystems of structures, machinery, digital systems, human operators, and the environment
Updated on Feb 24, 2026