Exploiting IoT & Machine Learning to transform Power and Utilities

1. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Enterprise Solutions Architect, Amazon Web Services
Abhishek Sharma
Senior Manager, Amazon Web Services
Exploiting IoT & Machine Learning to
transform Power and Utilities
Neeraj Kumar

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Objective for this session
• How power & utilities use AWS?
• Opportunities in utilities driven by AI/ML/IoT
• How to get started?

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4. AWS gives power and utilities
companies the foundation to
focus on delivering the best
customer experience, to achieve
operational and cost efficiencies
while meeting demand securely
and reliably, the flexibility to
evolve their business model and
innovate in a rapidly changing
industry, and the critical
business insights to transform
the industry
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Evolution in Utility Industry
• Rising demand for clean energy
• Reliable & secured operation
• Changing demand and supply
• Low cost to serve
All of the above starts with access to data…

6. AI & ML Services on AWS
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Enable customers (at all levels of expertise) to build machine
learning-driven applications
ML @ AWS: Our mission

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Artificial Intelligence

9. AWS IoT Services
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Things
Sense & Act
Cloud
Storage & Compute
Intelligence
Insights & Logic → Action
Concept of IoT

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IoT Architecture
Secure device
connectivity
and messaging
Endpoints
AWS IoT Core
Fleet onboarding,
management and
SW updates
Fleet
audit and
protection
IoT data
analytics and
intelligence
Gateway
AWS Greengrass
Things
Sense & Act
Cloud
Storage & Compute

12. Opportunities in Power & Utilities
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13. Integration with Brownfield (SCADA) systems
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14. Challenge: Brownfield Environments
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https://www.youtube.com/watch?v=sHWxAQZ_ypI
various protocols
SCADA,
DCS, etc.
IT Systems
CRM
Asset Management
ERP
Supply Chain
Finance
Maintenance
Compliance
Enterprise (IT) Operations (OT)
Barriers to Entry
• Poll/Response Protocols
• Constrained Bandwidth
• Legacy Applications
• OT/IT Knowledge Alignment
• Connectivity into Cloud

15. Why should you move data from SCADA to Cloud?
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Data Storage & Analytics at Scale
• Scalable, secured and cost effective
infinitely scalable storage on
Amazon S3
• Cost-optimized archival with
Amazon Glacier
• De-coupled storage with compute
• Right tools for the right job – Data
Warehouse, Machine Learning,
Hadoop, Visualisation
• Streaming and Batch use cases

17. Some mechanisms to bring this data into cloud…
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Edge Cloud Intelligence
Analytics
Kinesis
EMR
Artificial Intelligence
Elastic Map Reduce
Amazon Machine
Learning
Amazon Rekognition
Messaging
SQS
SNS
Database
Amazon Redshift
Management Tools
CloudWatch
UPC-UA
Adapter
Lambda
AWS Solution: AWS Plant Information (PI) Connector
OSIsoft Pi Connector to ingest Historian data into AWS
Business
intelligence
O&M
scheduling
Data models
& transformations
Native AWS
PI Connector
Predictive
maintenance
Business outcomes
Reduce operational costs
Minimize downtime
Prevent future failures
Minimize downtime/revenue loss
Inventory management
Fleet OEM analysis
Performance KPIs
Project/fleet revenue analysis
Power production analysis
Real-time or batch feeds
Backfill data
Asset framework structure
Select/all tags
Store PI data and expose to AWS Services
Metadata search via Elasticsearch
Amazon Redshift Data Warehouse
Amazon EMR
Visualization via Amazon Quicksight or other
?
AWS Greengrass: OPC-UA Adapter

19. Predictive Analytics & Anomaly Detection
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20. Predictive Analytics & Anomaly Detection
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Endpoints
AWS IoT Core
Gateway
Greengrass
Core
a:FreeRTOS
AWS IoT Analytics
OPC-UA
Amazon
SageMaker
AWS Greengrass
AWS Lambda
Retrained
Model
ML Inference
Code
Amazon
QuickSight
ML Inference
Deployment
Package
New Data New Data
UPC-UA Adapter
Amazon
Kinesis
Amazon
S3
Service
Edge

21. Smart Homes
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22. Customer Story: Centrica Hive
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Insights, BoilerIQBoilerIQ Benefits:
• Over 18% of BiolerIQ jobs finished
first time due to correct
identification of parts, otherwise
not help in stock
• 19% reduction in need for an
engineer to visit property
• NPS for “New Boiler: customers 21
points higher for those with
BoilerIQ
• Homecare churns drop by 2/3 for
customers with BoilerIQ

23. Customer Care
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24. AI Driven Customer Care
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Workforce
ManagementAgent Data
Your Data
Warehouse
Metrics
Your
S3 Storage
Call
Recordings
Contact Control
Panel
Contact
Flows
CRM
AWS
Lambda
Customer
Databases
Business
Intelligence
Transcribe
Comprehend
Sentiment
Analysis
Amazon
Connect

25. Trading & Forecasting
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Smart Grids
Energy Efficiency
Smart Meters

26. How to get started?
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27. Summary
• AI/ML/IoT is the technology foundation required by Power & Utilities to
succeed in the new Industry (4.0) revolution.
• Not ’Science Fiction’…
• Let’s get started…its easy to build on AWS!
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