GHENOVA 360 offers a comprehensive solution for the development of digital twins of naval equipment and systems, in addition to their integration in civil and military ships. Our Advanced Digital Twins Center has extensive experience in this field that will represent a new paradigm in the construction, operation and maintenance of ships, where Spain and GHENOVA are at the forefront.

1. DIGITAL ENGINEERING SERVICES
EQUIPMENTS, SYSTEMS & SHIPS
DIGITAL TWIN

2. EXPERTS IN NAVAL ENGINEERING
SOLUTIONS

3. DIGITAL TWIN
ADVANCED DEVELOPMENT CENTER
INTEGRAL SOLUTION 360º, EXTREME TO EXTREME, FOR DIGITAL TWIN DEVELOPMENT
OF HIS PRODUCTS AND THEIR INTEGRATION IN NAVAL & CIVIL VESSELS
ACCORDANCE WITH THE STANDARDS, RULES AND SHIPOWNERS REQUIREMENTS

5. ¿Why Ghenova? We 360º
Holistic view
End-to-end experts
Comprehensive digital solution
Leaders in Engineering in the close cycle of
complex and advanced systems,
from Conceptual Engineering to Life Cycle
Sustainment and Integrated Logistics Support (ILS).
We work with and for the best
Knowledge, Adaptation and Compliance with the most demanding
requirements of the worldwide leading Shipyards and Shipowners.
Global and comprehensive vision, we boost your
technology to other countries, other sectors, ...
Specialists on 3 continents in design, conceptual, functional and
detailed engineering of integrated systems such as large cruise ships,
frigates and the world's most sophisticated ships, power generation
plants, wind or photovoltaic parks.
Perfect linkage & scalable integration
We offer a guarantee of connectivity and
compatibility 360º between smart
products, systems and digital platforms

6. Scope definition and
preliminary diagnosis
Does my product adapt to the client?
How do I approach digitization?
•Shipowners requirements
identification, compilation and analysis.
• Phases and scope proposal fitted to
shipowners.
• Comprehensive strategy design.
Digital Twin purpose
determination
What work does my Digital Twin do?
• Design
• Shipbuilding
• Operation
• Maintenance & ACV
• ILS
Digital Platform Definition
Which physical and logical infrastructure
is optimal?
• Software
• Hardware
• Communications
Digital Mockup
Development
Is my Digital Mockup complet?
Does my Digital Mockup fit the shipowner’s
requirements?
• S1000D standard.
• Product Breakdown (PBS) Physical &
Functional structure. Simple & complex
structure. Static & Dynamic information.
• Use cases, scenarios, regimes. Missions.
Asset sensorization
What to monitor and what events to
register and notify?
• IoT strategy.
•Critical parameters and variables
identification.
•Sensors and monitoring system
definition.
• Sensors and device management
Data architecture
Will the management and flow of data
make it possible to achieve the
objectives?
• Extract Transform Load (ETL) data
integration.
• Data & Event Stream Processing.
• Connectivity and Interoperability.
• Data Stores & Data Lakes
• Data flow.
Mathematical models
development
Represent the models my products?
Predict the models their behaviour?
• Models: Physics based, Time series,
Fatigue and cycle, degradation …
• Functional Mockup Units, FMU.
• Analysis and diagnosis models.
• Prediction models.
• Models Validation and verification.
• Intervals and thresholds.
• Interfaces, FMI.
Simulation and visualization
ecosystem
Can I represent and recreate the physical
world?
• Technical models, & correlated models
exclusion.
• Analysis processes and action
activation. Alerts.
• Processing chains.
• Simulation engines.
•Recurrent Neuronal Network and LSTM
creation.
Training ecosystem
Development
Are my models optimal?
How can I improve my models and DT?
• Scenarios and use cases update.
• Training ecosystem.
• Models and algorithms optimization
•Maximization and minimization of
functions.
DT Artificial Intelligence
Determination
Do I want the DT to act on my behalf?
• Anticipation of anomalies.
• Ability to understand and solve
complex problems.
• Improved skills over time with
machine learning.
Health Digital System
Development
Am I aware of my equipment health and
its effect on the ship health?
• Review of failure modes and models.
• Diagnostic and prediction procedure.
• Models and reports of health and
reliability.
• RDS
Digital Twin Life Cycle
Can I guarantee my DT along the
product life?
• Maintenance and update plan for
the Digital Twin.
• Accompaniment in the
commissioning, service, operation and
maintenance of the digital twin.
• KPIs & Performance
SERVICES

7. SERVICES
DESCRIPTION FORMAT SOFTWARE
CAD Geometric model
XML, FORAN
JT SIEMENS NX, etc.
Use of native formats.
FORAN, Siemens PLM NX, Siemens PLM I-DEAS,
Cadmatic, AVEVA, Smartplan 3D, Siemens PLM Solid
Edge, Dassault Systemes CATIA, PTC Pro/ENGINEER,
Autodesk Inventor or Microstation.
3D SIMPLIFIED MODEL Basic structure of the Physical Dimension
Metadatos: XML, Customer data model
3D model ship integration
External geometric details and interface with other
equipment or ship.
FORAN, Siemens PLM NX, Siemens PLM I-DEAS,
Cadmatic, AVEVA, Smartplan 3D, Siemens PLM Solid
Edge, Dassault Systemes CATIA, PTC Pro/ENGINEER,
Autodesk Inventor or Microstation.
3D DETAIL MODEL Detailed structure of the Physical Dimension
JT
Estándares STEP AP203, AP214 o AP242)
Use of native formats.
FORAN, Siemens PLM NX, Siemens PLM I-DEAS,
Cadmatic, AVEVA, Smartplan 3D, Siemens PLM Solid
Edge, Dassault Systemes CATIA, PTC Pro/ENGINEER,
Autodesk Inventor or Microstation.
USE CASES, REGIMENS &
MISSIONS
Operating scenarios definition, missions, work profile and
work flows, interaction with other equipments and systems,
and integration of external factors. XML
NASTRAN, FEMAP, ANSYS, CATIA, Modelica
Simulink, SimulationX, 3D Experience simulia,
SolidThinking, etc.
FEATURES AND ATTRIBUTES
DEFINITION
Identification information, general documentation, physical
information, design information, construction, service and
maintenance information
XML
Data type, signals, interface, measurements,
operation criteria, maintenance criteria
NASTRAN, FEMAP, ANSYS, CATIA, Simulink,
SimulationX, 3D Experience simulia,
SolidThinking, etc. numpy, scipy, BLAS,
MongoDB, R,…)
SIMULATION MODEL
REQUIREMENTS
Depending on the type of digital twin: use cases and components,
useful time, decision making, events to notify, actions after events,
machine learning
Real Time Data & Work flow
Critical parameters and variables
Visualization and actions
Sensorization
Operation and Maintenance Criteria
NASTRAN, FEMAP, ANSYS, CATIA, Modelica,
Simulink, SimulationX, 3D Experience simulia,
SolidThinking, etc.
MODELS DEFINITION
Time series, mechanical analysis, physical models, analytical
models, Model interface, GUI, Graphical User Interface for
Simulation, Model equations and algorithms
XLS, DXF, STL, STEP, JT, XML, HDF, H5, DLL, FMI 2.0,
…
NASTRAN, FEMAP, ANSYS, CATIA, Modelica,
Simulink, SimulationX, 3D Experience simulia,
SolidThinking, etc.
MINIMUM VIABLE
DIGITAL TWIN
Combination of models and generation of DT. Information
management. Simulation engines, machine learning and AI,
diagnostic and prediction models, system logic, operating
limits, degradation.
Selection of technical models, exclusion of correlates,
definition of processing chains, One hot encoding, RNN
neural network creation and LSTM. Intervals, thresholds,
alerts, actions. Modelica, Simulink, Phyton, Tensorflow, Keras
SENSORIZATION Sensor identification, connection and interaction
Azure, Google Cloud IoT Core,
IBM Watson IoT Platform, SAP cloud,…
AWS
TRAINING ECOSYSTEM Model optimization with ML & AI
RNN
Long Short Term Memory (LSTM) Modelica, Simulink, Phyton, R, Tensorflow, Keras

8. DEVELOPMENT COMPETENCE
• Competence and technical solvency as a
center for DT development and delivery
• Validation of DT development processes.
• Software compliance.
• Periodic validation of digital competences.
MODELS INTEGRITY
• Correspondence of the physical and
cybernetic dimension.
• Customer demonstration that the digital
twin faithfully represents the specific asset
and the decision, operation and health
models are flawless.
COMMISSIONING
• Demonstration of commissioning and
service competences with a pilot test.
• Commissioning procedures.
• Connection procedure.
•Remote and/or autonomous service
procedure.
CUSTOMER ACCREDITATION
LIFECYCLE
.
• DT Maintenance and update plan.
• DT maintenance guarantee.
ADDITIONALSERVICES
CUSTOMER DOCUMENTATION
• Descriptions, Plans, Methodologies, procedures, reports, technical features, etc.