Posted: October 20th, 2023

Use of Drones for Vessel Hull Inspection and Maintenance

Use of Drones for Vessel Hull Inspection and Maintenance
The hull is a critical area for inspections due to risks of corrosion, fouling and cracks. Drones equipped with cameras offer a safe alternative to divers or drydocking for inspection. A dissertation may test drones to map and detect defects in the hull of vessels and offshore infrastructure. Computer vision algorithms can then be used to analyze images and recommend maintenance based on international standards. Case studies show drones providing significant time and cost savings for shipowners and maritime administrations.
Role of Augmented Reality in Onboard Training Simulators
Simulator-based training aims to provide realistic experience through visual and motion feedback. A project may develop AR applications to overlay interactive 3D models of machinery, switchboards and damage control scenarios during simulator sessions. Trainee feedback and quantitative metrics can help validate AR’s potential to enhance training effectiveness and long-term retention of procedures compared to conventional simulator-only methods.
Big Data Applications in Predicting Unplanned Offhire Periods
Unplanned machinery breakdowns result in lost revenue during offhire periods. A dissertation may collect machinery health and performance monitoring data from a sample fleet in recent years. Using statistical techniques, it can analyze parameters to identify correlations with unplanned downtime. Models developed may help predict maintenance requirements, spare part demand and provide offhire risk alerts to optimize scheduling of repairs and Class surveys.
Use of Virtual Reality in Onboard Safety Training Systems
Virtual reality can simulate high-risk situations for effective safety training. A dissertation may create VR applications replicating emergencies like fires, collisions or cargo spills through interactive 3D environments. Usability tests with trainees from maritime institutions can provide feedback on effectiveness, low-cost alternatives to physical simulators. Integration with augmented reality during onboard drills may further enhance learning outcomes.
Impact of E-Navigation on Voyage Optimization and Just-in-Time Arrival
E-navigation aims for ‘maritime digital transformation’. A project may analyze Automatic Identification Systems, meteorological and port schedule data to model optimized routes. When integrated with onboard systems and shore infrastructure, it can facilitate ‘just-in-time’ arrival for reduced port waiting times. Case studies show over 10% savings in fuel costs and emissions. Interviews with fleet managers can provide operational perspectives on realized benefits.
Role of Artificial Intelligence in Predictive Hull Condition Monitoring
Hull structural health is critical for safety and operational efficiency. A dissertation may develop AI models using hull stress data captured by sensors over vessel lifecycles. Models trained may help predict fatigue damage progression, crack initiation points and residual strength for proactive maintenance planning. Potential cost savings from preventive repairs informed by such predictions can be estimated based on past repair records.
Application of Unmanned Surface Vessels in Port and Harbor Operations
Ports are testing unmanned vessels for tasks like towing, dredging surveys and cargo transport. A project may analyze autonomous technology readiness levels based on recent projects. It can assess technical and operational requirements to deploy USVs at a particular port through simulation-based studies and stakeholder interviews. Regulations for integration into commercial operations may also be discussed.
Cyber Security Risk Assessment Framework for Modern Ships
Increased connectivity exposes ships to cyber threats. A dissertation may propose a framework for identifying and evaluating vulnerabilities in integrated platforms and critical control systems. Using recent guidelines, it can recommend security safeguards at different stages – from procurement to decommissioning. Case studies may help validate the framework’s effectiveness in addressing dynamic risks to ship systems and cargo integrity.
Big Data Applications in Predicting Unplanned Machinery Failures
Access to operational data from ships opens possibilities for predictive maintenance. A dissertation can develop algorithms to predict time-to-failure of critical components based on usage patterns, anomalies in performance parameters from a sample fleet. Models may help schedule preventive repairs and minimize unexpected downtime. Potential cost-savings estimated based on past repair records can demonstrate benefits.
Role of the Internet of Underwater Things in Maritime Situational Awareness
The Internet of Underwater Things uses networked sensors for monitoring coastal and ocean environments. A project may assess its applications in areas like tracking of hazardous cargo spills, mapping of uncharted seabed territories, detection of unidentified floating objects through recent case studies. It can outline technologies and infrastructure needed for a proposed integrated ocean monitoring network.
Use of Augmented Reality in Onboard Machinery Manuals and Work Instructions
Paper manuals are static in providing maintenance guidance. AR overlays interactive 3D component models, wiring diagrams, installation steps on the real equipment. A dissertation may develop AR applications for machinery manuals. Usability tests with recent technologies can help validate AR’s potential to improve retention for complex tasks compared to physical documentation alone.
Application of Drones in VTS and AtoN Surveillance
Vessel Traffic Services (VTS) and Aids to Navigation (AtoN) require periodic inspection and maintenance. Drones offer safe and rapid assessment of VTS infrastructure and buoys. A project may test drones equipped with sensors to map and detect defects in VTS radars/cameras and buoys. Inspection data analyzed can help authorities optimize maintenance planning and reduce costs.
Role of the Internet of Underwater Things in Maritime Spatial Planning
Maritime spatial planning involves mapping human activities and natural resources in ocean zones. A dissertation may propose using networked underwater sensors to monitor zones for planning and management. Case studies of recent projects show IoUT providing hydrographic and environmental data to inform decisions around offshore renewable energy, aquaculture, sand extraction and marine protected areas.
Use of Drones in Oil Spill Response Operations
Rapid detection and tracking of spills is critical for effective response. Drones equipped with infrared and slick detection sensors may locate and monitor spills. A project can test drones for spill surveillance during exercises. Data analyzed using computer vision algorithms can help response authorities optimize deployment of equipment and resources to impacted areas.
Role of Augmented Reality in Onboard Crew Training and Familiarization
Onboard familiarization helps new crew safely adapt to ship-specific operations and emergency procedures. A dissertation may develop AR applications to overlay interactive 3D models of vessel layout, escape routes and damage control scenarios during familiarization drills. Trainee feedback can help validate AR’s potential to enhance safety training compared to traditional methods.