DIGITAL TWIN
BIJOY T MATHEW
TECHNOLOGY
DEPARTMENT OF COMPUTER ENGINEERING TOWARDS THE NEXT GENERATION
NSS POLYTECHNIC COLLEGE, PANDALAM VIRTUAL WORLD
CONTENTS
1. What are digital twins?
2. Why do we need Digital twin?
3. Characteristics of Digital twin
4. Architecture
5. Architecture Diagram
6. Features of Digital twin
7. Advantages and Disadyantages
8. Applications
9. Conclusion
10. References
What areDigital
Twins ?
A digital twin is made up of data sets and it is a virtual
representation of a physical object which can accurately
mimic the performance of the physical object in a virtual
platform.
The concept of Digital Twin was first used in Davín gall
Inger's 1991 book called mirror worlds.
*The digital twin has been adopted as a conceptual basis
in the astronautics and acrospace area in reccnt ycars by 59.
NASA.
Why do we need
Digital twin?
3 It helps in designing and optimization part
It helps to predict the aging effect
RISK &
It is capable of monitoring the performance of th¿ RELIABILITY
IOTE
physical object throughout the whole life cycle
Adigital twin also integrate historical data from past
machine usage to factor into its digital model
AAAAA
AVANOnATa
3h DYNAM
ANALVTS NMODELLIN
CHARACTERISTICS OF DIGITAL TWIN
Modularity
Connectivity Homogenization
Characteristics
of Digital Twin
Reprogranmable
Digital traces and Smart
LoewaytHortz
CHARACTERISTICS OF DIGITAL TWIN
DConnectivity
A
digital twin is based on connectivity. It enables connection between
the physical element and its digital counterpart. The sensors create the
connectivity of physical products that obtain, integrate and
communicate data using various /ntegration technologies.
OHomogenization
Homogenization has two component steps; firstly, spatially aligning
data; and secondly ensuring the quality of the data is compatible
Digital twins are both the consequence and enabler of homogenization
of data. It allows the decoupling of information from its physical form
DDigital traces
Digital twin technologies leave digital traces. The trails are helpful to diagnose the
Source of the problem that occurred in case of machine malfunctions
DModularity
Modularity is referred to the design andcustomization of products and
production modules. The addition of modularity to functional models helps
manufacturers gain the ability to tweak machines and models.
OReprogrammable and Smart
Digital twins automatically enable re-programmability through sernsors, artificial
intelligence techniques and predictive analysis.
ARCHITECTURE DIAGRAM
Process
Historian
System
Streaming
Data Data Data Data
EAM HDFS
System
Collection Pipelines Integrity Egress
LIMS
DODOD
Continuous
Readiness
ARCHITECTURE
The different stages in the architecture of Digital Twin service
involves;
Data and Data Collection
Data Pipelines
Data Integrity
Data Egress
O Data and Data Collection
There is two types of data,;
Model Data
Used to construct digital representation of real world thing by using graph models.
Time Series Data
Represent the observation of the state of some physical thing at a given time. It can be
continuous or discrete.
OData Pipelines
Merge alldata sources from data collection into a single model and exported into element
graph.
OData Integrity
It also looks at the actual data stream for reducing issues with calibrations, connectivity
physical issues with the instrumentation that collect the physical data. This is a set of
analysis on either single varied or multi varied data.
OData Egress
The collected and organised data into digital twin is analyse to ensure the accuracy of that
data. The final stage is making use of that digital twin, we have built to analogue a whole
range of analytics value.
FEATURES
FEATURES FUNCTIONALITY
Document Management Alldocument (drawings, instructions,etc.)
Assossiated to equipment throughout its
lifecycle.
Model Digital representation of the equipment that can
mimic properties and behaviors of a physical device
3D Representation Properties of a physical device (measured or
simulated) mapped to a 3D digital representation
Simulation Representation ofa physical device in a simulation
Environment to study its behavior
FEATURES FUNCTIONALITY
Standardized data model for
Data Model
connectivity,analytics, and/or visualization
Visualization Graphical Representation of the object either
on a supervisory screen or personal device
Alignment of a model with real world parameters
Model Synchronization (potentially in real time)
Algorithms and computational results based on
Connected Analytics measured properties of a physical device
ADVANTAGES
Improved design
Improved build
Better early deteçtion and warpings
New opportunities
Aggregated data
Post-manufacturing visibility of products
DISADVANTAGES
The success of technology is dependent on internet connectivity.
The security is at stake.
The digital twins concept is based on 3D models and not on 2D
drawings
Digital twin will be requíred across entire supply chains.
The challenges inyolved here include globalization and new
manufacturing techniques.
Applications of Digital twins
OManufacturing
In the manufacturing industry, digital twins are used for
facilitating product deyelopment, design customization, shop
floor performance improvement and predictive maintenance
In the manufacturing industry
OProduct development
Engineers gain benefits from digital twins as it helps to test the
feasibility of upcoming products before launching
ODesign customization,
Digital twins help businesses design multiple permutations of the
product and offer personalized products and services to their clients.
OShop floor performance improvement
Digitaltwins are helpful in monitoring and analyzing the end products. It
helps engineers to spot the defective and low-performing products in the lot.
DPredictive maintenance
Digital twins help manufacturers predict potential downtimes of machines to
improve their overallproductivity by minimizing non-value-adding
maintenance activities.
Other Applications
ORetail
In the retail sector, digital twins are used for modeling and augment
customer experience at prominent shopping centers and individual stores.
DAutomotive
Digital twins are highly used for creating virtual models of connected
vehicles. Automotive companies simulate and analyze the production phase
to identify the potential problems during production or when the car hits the
roads.
OHealthcare
Digital twins virtualize healthcare services and help healthcare providers to
optimize patient care, cost and performance. It aims to improve the
operational efficiency of healthcare proçesses and enhance personalized
care.
OSmart cities
The digital twin can help cities to become more economically, socially and
environmentally sustainable. Virtual models can guide planning decisions
and offer solutions to the many complex challenges faced by modern cities.
CONCLUSION
combined with the latest machine learning and artificial intelligence
tools which helping companies across many industriesreduce
operational costs, increase productivity, improve performance, and
change the waypredictive maintenance is done. For product
manufacturers in particular, digital twin technology is crucial to
achieving more efficient production lines and faster time-to-market.
REFRENCES
>httpswww.marketsandmarkets.comMarket-Reportsdigital-twin
market-225269 522.html
>httpswww.gartner.comennewsroompress-releases2019-02-20
gartner-survey-reyeals-digital-twins-are-entering.html
>https://www.gartner.com/doc/3873 175
