Answer
AI can be used onboard as a decision-support and predictive tool to reduce pollution and improve environmental performance.
Main applications are:
- Fuel and CO₂ monitoring: Analyses fuel consumption, engine load, speed, weather and trim to reduce fuel consumption and emissions.
- Emission monitoring: Tracks NOx, SOx, CO₂, exhaust temperature and engine performance and detects abnormal trends.
- Scrubber monitoring: Monitors pH, PAH, turbidity, SO₂/CO₂ ratio and wash-water parameters.
- OWS monitoring: Analyses 15-ppm alarm, flow, valve position and tank levels to detect abnormal or potentially illegal discharge conditions.
- Bunkering safety: Predicts tank filling rate and time to overflow, reducing spill risk.
- Ballast-water system: Monitors UV intensity/TRO, flow, pressure and filter condition to identify deterioration.
- Leak detection: AI cameras can identify oil or hydraulic leaks and abnormal spills.
- Voyage optimisation: Selects efficient speed, RPM, trim and route to reduce fuel consumption and GHG emissions.
- Predictive maintenance: Detects deterioration of engines and pollution-prevention equipment before failure.
AI does not replace statutory equipment or the responsibility of the Master/Chief Engineer. It assists decision-making, while human verification, sensor accuracy and cybersecurity remain essential.