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THE PROJECT

The MHUMS is a 2-year project that began on May 1 2024, aimed at tackling critical challenges faced by the maritime industry, including costly unplanned downtime, inefficient maintenance practices, and growing regulatory pressure for sustainable operations. By integrating innovative technologies, MHUMS offers:

  • Enhanced real-time situational awareness of vessel systems, allowing crews to monitor health and performance dynamically.
  • Support for predictive maintenance models, reducing emergency repairs and increasing operational availability.
  • A user-centric Virtual Assistant (VA) that delivers actionable insights and technical guidance directly to ship operators.

OUR GOALS

MHUMS is driven by a clear set of goals aimed at addressing the key challenges of the maritime industry:

  • Transition to Predictive Maintenance: Replace traditional reactive and time-based maintenance models with predictive approaches that anticipate failures before they occur.
  • Increase Operational Availability: Ensure vessels are ready for extended missions by reducing downtime and optimising maintenance schedules.
  • Extend Equipment Lifespan: Minimise wear and tear by using real-time data to monitor and maintain critical systems.
  • Enhance Sustainability: Support green shipping initiatives by reducing fuel consumption, emissions, and environmental impact.
  • Improve Decision-Making: Equip ship operators with advanced tools and actionable insights to make informed operational decisions.
  • Promote Safety and Reliability: Detect and address anomalies early to prevent critical failures, ensuring safe maritime operations.
  • Reduced costs, economy of scale: Minimise unnecessary maintenance, optimise resource allocation, and lower operational costs through predictive analytics.

KEY FEATURES

  • Health Monitoring: Continuous data collection from sensors installed on engines, hulls, and other critical components.
  • Predictive Diagnostics: AI-powered algorithms forecast potential failures based on historical and real-time data.
  • Virtual Assistance: User-friendly interfaces provide step-by-step guidance for fault troubleshooting and maintenance scheduling.
  • Integrated Management: Central dashboards aggregate data across multiple vessels, enabling remote monitoring and informed decision-making.

Sustainability Tools: Supports emission reduction by optimising resource use and adhering to IMO’s environmental standards.

Added Value

• Economic Impact: Reduces operational costs through predictive maintenance and resource optimisation.
• Increased Availability: Enhances vessel uptime ensuring readiness for extended missions.
• Environmental Sustainability: Achieves reduction in fuel consumption and CO₂ emissions through optimised performance and maintenance scheduling.
• Safety and Reliability: Prevents critical failures, improving overall vessel safety by detecting anomalies early.

PROJECT UPDATES

Stay informed about the latest developments in MHUMS:

  • Announcements: Updates on pilot testing results, regulatory approvals, and project milestones.
  • Insights and Analysis: Blogs and articles exploring the future of predictive maintenance, maritime sustainability, and Industry 4.0 in shipping.

PARTNERS

Consortium Partners:

  • SKYLD Security and Defence Ltd: Leads the project, developing HUMS architecture AND PLATFORM, secure communication frameworks, and AI-driven predictive maintenance tools.
  • University of Nicosia Research Foundation (UNRF): Contributes academic research, literature review, and dissemination on maritime maintenance strategies, HUMS, and regulatory frameworks.

Subcontractors and Affiliates:

  • University of West Attica (UNIWA, GR): Implements IoT-enabled sensors, ensures cybersecurity, and integrates IoT data into HUMS systems.
  • Digital Ocean Technologies Ltd (CY): Offers maritime operational expertise, vessel for testing, and user-driven insights for system validation.

Contact

For further details, collaboration opportunities, or technical queries, contact us: