EKATRA provides Realtime digital twins for contextual and situational analysis of complex industrial process such as power-generating plants. The demo shows a smart predictive maintenance scenario addressed.
EKATRA IoT Digital Twin Presentation at FOG World Congress
1. Adj. Prof. Giuseppe Mascarella
giuseppe@ektra.io
Alexey Klimenko
alexey@ektra.io
2. AGENDA
1. What Problem Is Ekatra FOG Trying To Solve
2. EKATRA Solution Architecture
3. The Digital Value Chain
3. The Challenges
1. How do you connected siloed
data and systems?
2. How to deliver data and insights
to the right decision point on
time?
3. How do we propel the digital
transformation for digital value
chain?
5. EKATRA OEE (Overall Equipment Effectiveness) Maximizer
Context>Situational Predictive Action
Asset Utilization
and
Maintenance • Avoid unexpected downtime
• Avoid over- and under- maintenance
• Operate Asset as a Service
• Take preemptive corrective actions
Overall
Equipment
Effectiveness
(OEE)
• Create New
Business
Models
Cost of
Incidents and
Maintenance
Intelligence
Reports
ERP, Maint. Data
Data
6. AGENDA
1. What Problem Is Ekatra FOG Trying To Solve
2. EKATRA Solution Architecture
3. FOG In The Digital Value Chain
7. EKATRA = Interconnected Nodes + Services
1. Ekatra Sensor Hub
Connect to sensors, equipment, PLCs,
legacy systems, etc.
Process data in real-time
Securely transfer data across nodes via
very efficient protocol
2. Ekatra Data
Management
Store and process time-series
data at massive scale
Manage digital twin metadata
3. Ekatra HMI
Unique UX & visualization for
digital twins, analytics and
dashboards
4. Ekatra ML
Create and run ML & AI models of
equipment and processes
5. Ekatra Business Apps
Marketplace of pre-built solutions:
predictive maintenance, etc.
6. Security & Orchestration
Tools to assemble, monitor and manage
Ekatra across all the nodes.
Flexible
deployment
Location and
context – aware
Inter-node secure
communication
Nodes can contain
different services
8. Ekatra Services Architecture
Built on Open Source Components
Business Apps
Marketplace
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03
HMI Dashboards
& Visualization
Sensor Hub Data
Management
Machine
Learning
& AI
Data
EKATRA IoT Intelligence
OPC UA
Industrial
Protocols
Legacy protocols
IoT Protocols
File exchange
Sensors
Azure, AWS,
Google Iot
Integration
Data Streaming
(RTDB)
Pub-sub events
RDF Metadata
Store
Time Series DB
Automation Engine
Ekatra ML
microservices
TensorFlow
Keras
Python
IEC-61131
External ML
Azure
AWS
Google
Role-based
dashboards
Digital Twin
models
Real-time web
screens
Screen generation
tools
Web, mobile,
embedded
Power BI support
Predictive
Maintenance
Business ROI
impact
Visualization and
control
Vertical industry
packages:
Energy
Machinery
Agriculture
etc.
Security and Orchestration
Sensors
Industrial Control systems
SCADA
Legacy Systems
Proprietary Protocols
Other data sources and apps
Local/edge deployment
Cellular
Internet
LAN/WAN
Satellite
Low-bandwidth relay
Modem connection
9. FOG IoT Demo Of Predictive Maintenance for
Power Plant Turbo-Power Generator
EKATRA Digital Twin
11. Business Problem
1. Prevent turbo generator failures
2. Know state of equipment, predict
it’s condition, maintenance
needs
3. Increase power output while
maintaining safe operations
17 turbo generators ~ 1000MWt each
across on sites hundreds of miles apart
Each day turbo generator is under
maintenance can cost up to $1MM
Solution
• Ekatra nodes at each location connected to TG control systems
• Predictive ML models to anticipate and detect failures
• Visualization and HMI
• Real-time data accumulation over thousands of parameters for
future diagnostics and model improvement
12. AGENDA
1. What Problem Is Ekatra FOG Trying To Solve
2. EKATRA Solution Architecture
3. The Digital Value Chain
13. EKATRA In Digital Transformation
Of The Value Chain
External
Home, Office
Outages , Quality SCADA
PLC
IoTsensors
IoTsensors
Plant Regulatory
Agency
PLC
IoTsensors
IoTsensors
SCADA
PLC
Headquarters
Emergency
Management
EKATRA S HUB
Customer
Experience
SMEs
HMI
HMI
HMI
HMI
HMI
HMI
14. Adj. Prof. Giuseppe Mascarella
giuseppe@ekatra.io
Contact Us For A Free:
IoT In The Value Chain
Workshop
Notes de l'éditeur
The market is full of great promises about connected systems, IoT miracles and Big Data potential, it is all great and true, but let’s face reality - there so many businesses and systems that are simply not viable to modernize by overhauling.
How do you transition from disconnected legacy systems into an integrated digitized system that allows you to enable greater efficiency, new business models
Fast Data Ingestion 500K in near real time from SCADA, OPC UA, PLCs, GeoData, etc
Contextual Awareness. It creates intelligence out of the data, with better visualizations that enable operators in the Control Center to see changes in the system quickly.
Situational Intelligence. It follows and integrates geospatial and value chain data to give a precise understanding of specific events as they happen.Data from the Army Corps of Engineers, Sate Transportation, FIRE Dept, and other third parties allows a tactical analysis mapping integration.
Predictive Analytics. Ekatra finally take all of that real-time data and pull out patterns that signal approaching abnormal events, allowing for proactive responsiveness.
The market is full of great promises about connected systems, IoT miracles and Big Data potential, it is all great and true, but let’s face reality - there so many businesses and systems that are simply not viable to modernize by overhauling.
How do you transition from disconnected legacy systems into an integrated digitized system that allows you to enable greater efficiency, new business models