At The 2019 IoT Evolution Expo, we were asked to help make a powerful Biz Case for IoT with Realtime data monitring.
An EKATRA IoT case study in Nuclear Power Plants with Digital Twins is highlighted.
IoT Busines Case: Reduce Cost of Overhead To Stay Compliant
1. To Join The Raffle
Put The Biz Card
On The Tray
At The Entrance
Door
IOT BUSINESS CASE:
REDUCE THE OVERHEAD OF STAYING COMPLIANT
Adj Prof Giuseppe Mascarella
EKARTRA IoT
CEO
Nima Veiseh
EKATRA IoT
Director of IoT Technologies
2. What Are The Key
Busness Drivers
That Will Secure A
Strong Business
Case
For My IoT
Project?
IoT Business Drivers:
1. Reduce the overhead of staying compliant
with critical industrial assets
2. Prevent aging assets failures
3. Use trusted data to lower insurance
premium and increase resale value of
assets
4. Manage warranty and upsell a new product
5. Optimize Consumable Fulfillment (i.e. Fuel,
Lubricants)
6. ..
Author:
Rapid Economic
Justifications
3. Why Compliance #1?
“SOX(Sarbanes-Oxley) requires the CEO and CFO to be aware
of what’s happening in their companies.
They must establish measures or they will be liable. It is their responsibility to
make sure everything is audited and that the data are available.
Auditors must be able to determine what’s going on.”
Randy Kondor, Managing Director at Matrikon/Honeywell.
A real-time data historian or data analysis system is needed.
BR&L Consulting’s Brandl recommends.
7. Real time Edge computing IoT software
Case Study
• Situation
-Nuclear Plants and any Hazard-prone systems safety
were delegated to the trained operators
-Unrealistically, compliance was consider a given even
“during situation of interest”
• Challenge
-Multiple Stakeholders need to collaboratein exploration,
investigation, modeling, deployed in multiple places.
-Connectivity not consistent during “situation of
interest”.
• Solution
EKATRA IoT Edge Nodes at every step of the decision
Value Chain
9. IEEE 1934
1. Ekatra Sensor Hub
Connect sensors, equipment, PLCs, legacy
systems from Siemens, ABB, etc
Process 500K/sec datapoints in real-time
2. Ekatra Data Management
Store and process time-series data at massive scale
Manage digital twin metadata
Lightning Memory-Mapped Database (LMDB)
3. Ekatra HMI
Advanced graphics for digital
twins, analytics and
dashboards
4. Ekatra ML
Create and run Machine Learning & 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.
12. How Do You Follow-up?
CONTACT US FOR A
Edge Node Starter Kit w/Digital Twin
Giuseppe@ekatra.io
Notas do Editor
Edge computing IoT software platform
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.
Freedom
Learn what is local to communities
After learning integrate the results
Provide a service in a dynamic manner