Flutura presentation - The Hive india event

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  • 1. Hive Big Data Meetup
  • 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
  • 3. 3 What's common to Cows in Netherland & New Zealand ?
  • 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 ?
  • 8. 8 Pain-1 : Large Scale Theft !
  • 9. 9 Which grid components need to be replaced based on age and outage frequencies ? Pain-2 : Ageing + inadequate distribution network
  • 10. 10 How do we map street level outage360 behaviour ? proactive incident response Pain-3 : Frequent Outages
  • 11. 11 Pain-4 : Grid energy spot pricing ... Load forecasting !
  • 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 ?
  • 17. 17 Tamper Loss Spotter - Bird’s  Eye  View
  • 18. 18 Tamper loss spotter- Worms Eye View
  • 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
  • 22. 22 Command centres : Real time streaming sensor data
  • 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
  • 28. 28 When you flush sensor event data lives are at risk !!! Sensor event streams being flushed Lives being saved