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EDGE COMPUTING: REMOTELY ACTING ON
MISSION-CRITICAL DECISIONS IN THE FIELD
Adj Prof Giuseppe Mascarella
EKARTRA IoT
CEO
Jim White
Dell Technologies &
EdgeX Foundry TSC
Vice Chair
Why is remote acting vital in many (most?) edge
computing use cases?
Remote = nearest to the sensor, autonomous, edge computing
Remote = Premise-Independent/ better human data exploration and
decision making locally
Real time Edge computing IoT software
Case Study
• Situation
Nuclear Plants and any Hazard-prone systems safety
were delegated to the trained operators
• Challenge
-The Stakeholders need collaborative exploration,
investigation, modeling, deploy in multiple places.
-Connectivity not consistent during “situation of
interest”.
• Solution
EKATRA IoT Edge Nodes at every step of the decision
Value Chain
Location-Based Collaborative
IoT computing
External
Home, Office
Outages , Quality SCADA
PLC
IoTsensors
IoTsensors
Site Regulatory
Agency
PLC
IoTsensors
IoTsensors
SCADA
PLC
Headquarters
Components
Manufacturer
EKATRA S HUB
Customer
Experience
SMEs
HMI
HMI
HMI
HMI
HMI
HMI
s
1 2 3 4
Services in the Value Chain
5
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.
How Do You Followup?
• Giuseppe@ekatra.io
We Offer A Edge Node Starter Kit w/Digital Twin
James.White2@dell.com
www.edgexfoundry.org
IoT Edge Computing For Mission Critical Decisions
IoT Edge Computing For Mission Critical Decisions

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IoT Edge Computing For Mission Critical Decisions

  • 1. EDGE COMPUTING: REMOTELY ACTING ON MISSION-CRITICAL DECISIONS IN THE FIELD Adj Prof Giuseppe Mascarella EKARTRA IoT CEO Jim White Dell Technologies & EdgeX Foundry TSC Vice Chair
  • 2. Why is remote acting vital in many (most?) edge computing use cases? Remote = nearest to the sensor, autonomous, edge computing Remote = Premise-Independent/ better human data exploration and decision making locally
  • 3. Real time Edge computing IoT software Case Study • Situation Nuclear Plants and any Hazard-prone systems safety were delegated to the trained operators • Challenge -The Stakeholders need collaborative exploration, investigation, modeling, deploy in multiple places. -Connectivity not consistent during “situation of interest”. • Solution EKATRA IoT Edge Nodes at every step of the decision Value Chain
  • 4. Location-Based Collaborative IoT computing External Home, Office Outages , Quality SCADA PLC IoTsensors IoTsensors Site Regulatory Agency PLC IoTsensors IoTsensors SCADA PLC Headquarters Components Manufacturer EKATRA S HUB Customer Experience SMEs HMI HMI HMI HMI HMI HMI
  • 5.
  • 6. s 1 2 3 4 Services in the Value Chain 5
  • 7. 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.
  • 8. How Do You Followup? • Giuseppe@ekatra.io We Offer A Edge Node Starter Kit w/Digital Twin James.White2@dell.com www.edgexfoundry.org

Hinweis der Redaktion

  1. Edge computing IoT software platform
  2. Freedom Learn what is local to communities After learning integrate the results Provide a service in a dynamic manner
  3. 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.