Download - Flutura presentation - The Hive india event
Hive
Big Data Meetup
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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
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What's common to Cows in Netherland & New Zealand ?
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` 2008 : Sensors > Humans ! Unnoticed inflection point ... Nose to tail sensor jungle
Sensors Humans
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How M2M + Big Data Analytics is disrupting the Energy industry ?
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The Electricity Value chain
Power generation Transmission substation High voltage electric transmission systems
Distribution Substation Voltage is reduced
Distribution Transformer
Household
Generation + Transmission + Distribution
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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 ?
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Pain-1 : Large Scale Theft !
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Which grid components need to be replaced based on age and outage frequencies ?
Pain-2 : Ageing + inadequate distribution network
10 How do we map street level outage360 behaviour ?
proactive incident response
Pain-3 : Frequent Outages
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Pain-4 : Grid energy spot pricing ... Load forecasting !
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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!
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• 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!
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Why is it important to solve this problem?
A 1 % reduction in AT&C unlocks millions of $
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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
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So what are the Smartmeter use cases driving ROI for utility industry ?
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Tamper Loss Spotter - Bird’s Eye View
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Tamper loss spotter- Worms Eye View
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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.
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Analyzing frequent Smartmeter sequences
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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
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1. Is it Electrician ?
2. Is it Calibration ?
3. Is it Load ?
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Chillers + Boilers Heavily instrumented
Flow sensors
Steam pressure sensors
Temperature sensors
Status sensors
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Command centres : Real time streaming sensor data
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M2M Big Data Solution architecture
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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
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What are the 3 important “Gotchas” for M2M + Big Data Analytics from the trenches ?
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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
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Gotcha-2 : Machine learning @ scale Harvest signals and patterns from streaming sensor data- 3 techniques
• Sequence
• Frequent sequences
• Large graph
• Text mining
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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
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When you flush
sensor event data lives are at
risk !!!
Sensor event streams being flushed
Lives being saved