🚢 We are pleased to share – VesselAI User Manual

📘 This public deliverable provides a structured overview of the VesselAI platform, presenting its core components, functionalities, and main user workflows. The manual explains how the platform supports the full maritime data lifecycle, from data ingestion and storage to data exploration and analysis, processes, data streaming, data governance, AI services, workflow orchestration, and digital twin (DT) and decision support system (DSS) capabilities. It is designed to help users transform raw maritime data into actionable insights for vessel performance analysis, operational optimization, and environmental and economic assessment.

⚓ In a sector where digital platforms are often proprietary and access to data is restricted, wider collaboration and innovation can be difficult. Limited data sharing reduces opportunities for research communities and R&D partners to validate AI and machine learning methods on critical maritime datasets. In this context, TwinShip will further strengthen its DT/DSS framework by leveraging the VesselAI digital platform, originally developed through the collaborative VesselAI H2020 project.

🔐 As an open-source platform with a sophisticated architecture for large-scale data processing and advanced AI/ML applications, VesselAI is designed to support secure and seamless data sharing in the maritime sector. It introduces a federated data space with dedicated encryption mechanisms for maritime data, while also promoting semantic interoperability through shared vocabularies and ontologies, enabling a common understanding of exchanged data across different systems.

🌍 With implementations already in place at ICCS and DSSLab in Athens, and an upcoming setup at UiT in Tromsø, the platform is expanding its reach and value for academia, research, and industry stakeholders. This also strengthens resilience through a data backup strategy aligned with the 3-2-1 Rule.

👏 A big thank you to all partners and contributors involved in this work.

Now you download the deliverable from: https://www.researchgate.net/publication/403268274_User_Manual_for_VesselAI_Platform