Healthy Ship 4U

Informacje na temat projektu

HS4U

Identyfikator umowy o grant: 101069937

DOI

10.3030/101069937

Projekt został zamknięty

Data podpisania przez KE 16 Czerwca 2022

Data rozpoczęcia 1 Września 2022

Data zakończenia 31 Sierpnia 2025

Finansowanie w ramach

• Climate, Energy and Mobility

Koszt całkowity

€ 6 255 977,50

Wkład UE

€ 6 255 977,50

Koordynowany przez

AMERICAN MPIRO OF SIPING HELLENIC MONOPROSOPI ETAIREIA PERIORISMENIS EVTHINIS
Greece

Periodic Reporting for period 2 - HS4U (Healthy Ship 4U)

Okres sprawozdawczy: 2024-03-01 do 2025-08-31

Podsumowanie kontekstu i ogólnych celów projektu

The HS4U (Healthy Ship for You) project was created in response to the major vulnerabilities revealed by the COVID-19 pandemic in the maritime and cruise sectors. Its goal was to modernise health and safety management on large passenger ships through intelligent monitoring, early detection, and coordinated response tools. Fully aligned with EU priorities such as the European Green Deal, the EU Maritime Transport Strategy 2050, and the One Health framework, the project set out to build a resilient, data-driven, and human-centred system that protects both passengers and crew.

Bringing together engineering, AI, epidemiology, behavioural sciences, and risk management, HS4U developed a holistic framework that connects technological innovation with human and organisational needs. Its work focused on four main objectives: validating solutions in two real-world demonstrator environments; developing the Collaborative Digital Framework (CDF) to link people and IoT devices in real time; integrating advanced detection and mitigation technologies; and creating an evidence-based passenger behavioural model to anticipate movement patterns and enhance situational awareness.

The project progressed through a structured pathway—from early research and requirements analysis (M1–M12), to integration and implementation (M12–M30), and finally to validation and demonstration (M30–M36). Across these phases, HS4U delivered strong scientific, technological, societal, and economic impacts, advancing AI-based health management at sea, supporting operators with deployable digital tools, restoring passenger confidence, and contributing to EU resilience and safety policies. Social sciences and humanities played an essential role by ensuring that all solutions were ethical, user-friendly, and socially acceptable. Overall, HS4U establishes a new benchmark for smart, human-centred maritime health security and reinforces Europe’s leadership in safe, sustainable passenger transport.

Prace wykonane od początku projektu do końca okresu sprawozdawczego oraz najważniejsze dotychczasowe rezultaty

Over its 36-month duration, HS4U moved from conceptual design to full system integration and real-world demonstration, successfully delivering all planned scientific and technical outputs. Early work focused on defining requirements, operational scenarios, and user needs, leading to the development of a comprehensive HS4U reference architecture that formalised the Collaborative Digital Framework (CDF) and provided the blueprint for system integration. Building on this foundation, the project advanced key analytical components through AI-driven risk-assessment models, an evidence-based passenger behavioural model, and supporting crew training materials, establishing the scientific basis for predicting and mitigating onboard health risks.
The technological core of the project was realised through the implementation of an event-driven, microservices-based ecosystem capable of ingesting, processing, and visualising real-time data from a wide range of sensors and mitigation technologies, including viral detection, wastewater epidemiology, antimicrobial systems, and probiotic emitters. The CDF platform integrated dashboards, notification services, time-series repositories, and multi-user interfaces, achieving measurable performance gains in speed, responsiveness, and operator efficiency.
These components were validated through pilot activities in two demonstration environments—a cruise-ship setting and a dedicated training/simulation facility—where integrated trials evaluated detection-to-response workflows, passenger-flow predictions, and crew decision support. Results showed significant improvements in situational awareness, anomaly detection, and response coordination, including a reduction in incident-response time of over 40%. Throughout the project, all research activities adhered to GDPR and Horizon Europe ethics requirements, ensuring robust data governance and responsible use of human-related data.
By project completion, HS4U delivered a validated CDF, a complete reference architecture, interoperable sensor and mitigation technologies, advanced AI models, and demonstrated operational readiness in realistic maritime contexts.

Innowacyjność oraz oczekiwany potencjalny wpływ (w tym dotychczasowe znaczenie społeczno-gospodarcze i szersze implikacje społeczne projektu)

By the end of its 36 months, HS4U delivered a fully validated, integrated digital ecosystem for managing health risks on passenger and cruise ships. It produced a real-time Collaborative Digital Framework (CDF), a complete reference architecture, advanced AI-based risk models, an evidence-based passenger behavioural model, and an interoperable suite of sensing and mitigation technologies (viral detection, wastewater monitoring, antimicrobial and probiotic systems). These components were successfully demonstrated in two operational environments, showing major performance gains such as faster response times, reduced alert latency, and improved operator efficiency, supported by tailored training tools for crew adoption.

HS4U’s impacts span scientific, technological, societal, economic, and environmental domains: it advances the state of the art in maritime health management and AI-driven safety systems, supports EU health security and digitalisation priorities, strengthens operational resilience, reduces disruptions and associated costs, and contributes to more sustainable maritime operations through early detection and mitigation.

To ensure wider uptake, the project highlights the need for larger-scale demonstrations, continued refinement of AI and behavioural models, stronger market engagement and funding pathways, well-defined IPR and commercialisation strategies, alignment with emerging regulatory and standardisation frameworks, and ongoing international collaboration to sustain and expand HS4U’s technological legacy.