Smart Vessel
The living digital twin of every vessel — one source of truth for technical excellence.
Smart Vessel creates a comprehensive digital twin for every vessel in your fleet, unifying technical specifications, class records, equipment hierarchies, sensor data, and operational history into a single, continuously updated knowledge graph. This digital twin serves as the foundational data layer that powers the entire CyberSmart ecosystem — providing Smart Navigation with vessel performance models, Smart EMRV with equipment-level emissions parameters, and Smart Simulator with accurate vessel representations for high-fidelity scenario analysis. The platform ingests data from classification society databases, shipyard technical files, manufacturer equipment manuals, and onboard IoT sensor networks to build a multi-layered vessel model spanning hull geometry, propulsion system architecture, auxiliary machinery, safety equipment, and environmental compliance systems. Unlike static technical databases, Smart Vessel's digital twin evolves in real time as equipment is modified, performance degrades, and new sensor data reveals the vessel's actual operating characteristics. Smart Vessel also provides a structured framework for managing technical documentation, class surveys, and equipment lifecycle records. Document versioning, automated expiry alerts, and classification society integration ensure that the technical record for each vessel is always current, complete, and accessible to both shore-based teams and onboard personnel.
50K+
parameters
Data Points Per Vessel
200+
types
Sensor Feeds Supported
<3
seconds
Document Retrieval Time
98.5
%
Twin Accuracy
Key Capabilities
Comprehensive Digital Twin Model
A multi-layered technical representation of each vessel encompassing hull form, propulsion train, auxiliary machinery, safety systems, and environmental equipment. The model captures both design specifications and actual as-found conditions, updating continuously as sensor data, survey results, and maintenance records provide new information about the vessel's real-world state.
Sensor Data Integration & Normalization
Connects to onboard IoT sensor networks, consuming data from engine monitoring systems, fuel flow meters, exhaust gas analyzers, weather stations, and navigational equipment. The platform normalizes heterogeneous sensor data into a unified time-series database, handling data quality issues, unit conversions, and sampling rate variations automatically.
Technical Document Management
Centralized repository for all vessel technical documentation including GA plans, system diagrams, equipment manuals, class certificates, and statutory documents. Version control, automated expiry tracking, and full-text search ensure the right document is always accessible. Integration with classification society portals enables automatic retrieval of updated certificates and survey reports.
Equipment Lifecycle Tracking
Tracks the complete lifecycle of every piece of critical equipment from installation through maintenance events, performance degradation, and eventual replacement. Running-hour based and condition-based triggers integrate with Smart Operation's maintenance engine to optimize equipment management decisions and spare parts planning.
Classification & Survey Management
Maintains a structured schedule of class surveys, statutory inspections, and flag-state requirements with automated countdown alerts. The platform tracks survey findings, conditions of class, and overdue items, ensuring nothing falls through the cracks. Direct integration with major classification societies enables electronic submission and retrieval of survey data.
How It Works
Build the Digital Twin
Import vessel particulars, equipment hierarchies, and technical specifications from shipyard delivery documentation, classification society records, and your existing technical management systems. The platform's data model automatically structures this information into a navigable, searchable vessel knowledge graph.
Connect Live Data Sources
Establish connections to onboard sensor networks and shore-based data feeds. Smart Vessel's integration framework supports major maritime IoT platforms, engine monitoring systems, and data aggregation services. Once connected, sensor data flows continuously into the digital twin, keeping the vessel model current with real-world conditions.
Maintain & Evolve the Model
As equipment is modified, surveys are completed, and performance data accumulates, the digital twin evolves automatically. Shore-based and onboard users update technical records through structured workflows, while machine learning models refine performance characteristics based on observed operational data.