2. 2
Agenda – 3 Key Things
1. Deep dive & Explore Smart meter M2M Use Case
2. How M2M unlocks value in Oil N Gas, Building risk & Telecom ?
3. 3 key “gotchas” from the trenches
4. 4
`2008 : Sensors > Humans !Unnoticed inflection point ... Nose to tail sensor jungle
Sensors Humans
5. 5
How M2M + Big Data Analytics is disrupting the Energy industry ?
6. 6
The Electricity Value chain
Power generation Transmission substation
High voltage electric transmission system
Distribution Substation
Voltage is reducedDistribution Transformer
Household
Generation + Transmission + Distribution
7. 7
Upto 40 % of Power transmitted does not reach end consumer
Distribution considered the weak link
Why is Distribution considered a weak link in the entire power value chain ?
What's the Problem we are solving ?
12. 12
Pain-5: Sub Optimal
use of electricity by
households
Inefficient bulbs
Switching from inefficient incandescent
lights to more efficient light bulbs such
as compact fluorescent lights (CFLs)
ALTERING HOUSEHOLD BEHAVIOR KEY!
13. 13
• Where should Electricians to be
deployed to the right spots in
real time
• Where should they be deployed
to proactively prevent outages
Pain-6: Optimising Field Electrician force!
14. 14
Why is it important to solve this problem?
A 1 % reduction in AT&C unlocks millions of $
15. 15
How does a Smartmeter help ?
• Smart meter Data collected
• COV
– Voltage
– Current
– Power
– Harmonic voltage distortion
• Events
– Tamper events
• Reverse energy flows
– Outage events
– Meter hardware events
• Battery low events
• Signal strength low
– Device status events
• “Last gasp”,
• “Power restore” events
16. 16
So what are the Smartmeter use cases driving
ROI for utility industry ?
19. 19
Dynamic electric pricing
•Time of use rates
•Encourage consumers
to use less power a peak
rates
•Reducing the need for
expensive generating
stations that only
operate for brief periods.
20. 20
Analyzing frequent Smartmeter
sequences
X
1
2
3
4
Day-1 9:12 am
Fuse blowout
Day-6 3:15 pm
Line
Maintenance
Inspection
Day-9 10:15 pm
Transformer or
Eco system device
recalibration
Day-11 3:15 pm
Three 2 sigma Voltage
Surge Event occurred
Within 24 hours
Day-12 3:15 pm
Power Outage
Breaks down
X
X
X
X
X
X
X
X
X
X
X
1. Is it Electrician ?
2. Is it Calibration ?
3. Is it Load ?
21. 21
Chillers + Boilers Heavily
instrumented
Flow sensors
Steam pressure
sensors
Temperature
sensors
Status sensors
23. 23
M2M Big Data Solution architecture
1
2
3
4
Command centre
Field Technicians
Head office Design
Process Optimizers
Reduce Massive Risks + Unlock Process efficiency
Digital Oil Field
Smart Buildings
Smart Meter grid
Telecom
R
E
A
L
T
I
M
E
I
N
G
E
S
T
I
O
N
Deep
Machine
Learning
Complex
Machine
Vectorisation
Gamification
and Habit
design
Triangulated
Markers
Massively
Scalable
Sensor Data
Ocean
Real time sensor
event pipelines
24. 24
What are the 3 important “Gotchas” for M2M +
Big Data Analytics from the trenches ?
25. 25
Gotcha-1: TRIANGULATE SIGNALS ACROSS DEVICES/MANUFACTURERS !
Cast a wide net in “sensor data ocean” to triangulate on multi device
signals across multiple real time event streams
26. 26
Gotcha-2 : Machine learning @ scale
Harvest signals and patterns from streaming sensor data- 3 techniques
• Sequence
• Frequent
sequences
• Large graph
• Text mining
27. 27
Gotcha-3 : Gamification + Habit Design
Applied Behavior Psychology in Design
Gamification + Habit Design
Deep Machine Learning
Hadoop Cluster + NoSQL Persistence
Real time streaming data pipelines
80 %Of work
