In our ongoing efforts to advance the project’s AI Tools and Analytics, we are concentrating on improving our capabilities in time series analysis tailored to vessel IoT data. The goal is to identify patterns, detect anomalies, and develop forecasting models that help optimize vessel operations and predict potential issues.
One of the challenges is applying specialized algorithms for anomaly detection that address the complexities inherent in vessel data streams, aiming to produce results that add value for stakeholders. By implementing these detection mechanisms, we hope to enhance the precision of the project’s digital twin, enabling timely responses to abnormal events and improving maritime safety and efficiency. We are also working on forecasting models that use AI to predict trends in vessel performance, aiding decision-making for fleet operators and stakeholders.
As we continue our work, we remain committed to refining our analytics, leveraging AI to ensure accurate, efficient, and safe vessel operations.
DT4GS has received funding from the Horizon Europe framework programme under Grant Agreement No 101056799.
