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
What's common to Cows in Netherland & New Zealand ?
`2008 : Sensors > Humans !Unnoticed inflection point ... Nose to tail sensor jungle
How M2M + Big Data Analytics is disrupting the Energy industry ?
The Electricity Value chain
Power generation Transmission substation
High voltage electric transmission system
Voltage is reducedDistribution Transformer
Generation + Transmission + Distribution
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 ?
Pain-5: Sub Optimal
use of electricity by
Switching from inefficient incandescent
lights to more efficient light bulbs such
as compact fluorescent lights (CFLs)
ALTERING HOUSEHOLD BEHAVIOR KEY!
• Where should Electricians to be
deployed to the right spots in
• Where should they be deployed
to proactively prevent outages
Pain-6: Optimising Field Electrician force!
Why is it important to solve this problem?
A 1 % reduction in AT&C unlocks millions of $
How does a Smartmeter help ?
• Smart meter Data collected
– Harmonic voltage distortion
– Tamper events
• Reverse energy flows
– Outage events
– Meter hardware events
• Battery low events
• Signal strength low
– Device status events
• “Last gasp”,
• “Power restore” events
So what are the Smartmeter use cases driving
ROI for utility industry ?
Dynamic electric pricing
•Time of use rates
to use less power a peak
•Reducing the need for
stations that only
operate for brief periods.
Analyzing frequent Smartmeter
Day-1 9:12 am
Day-6 3:15 pm
Day-9 10:15 pm
Eco system device
Day-11 3:15 pm
Three 2 sigma Voltage
Surge Event occurred
Within 24 hours
Day-12 3:15 pm
1. Is it Electrician ?
2. Is it Calibration ?
3. Is it Load ?
Chillers + Boilers Heavily
Command centres : Real time streaming sensor data
M2M Big Data Solution architecture
Head office Design
Reduce Massive Risks + Unlock Process efficiency
Digital Oil Field
Smart Meter grid
Real time sensor
What are the 3 important “Gotchas” for M2M +
Big Data Analytics from the trenches ?
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
Gotcha-2 : Machine learning @ scale
Harvest signals and patterns from streaming sensor data- 3 techniques
• Large graph
• Text mining
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
lives are at
Sensor event streams
Lives being saved