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IIOT Quest Platform
Efficiency Analyzers for Wall Blowers
April 2017
2Copyright© Capgemini 2016. All Rights Reserved
Thermal Power Plant – Market Research
Thermal Power
Sector
Wall blower
market
Decline in
Generation
Capacity
 NTPC revenue is 3.3
billon USD according
to there annual
report.
 Due to wall blowing
inefficiency, Facing
loss of 0.102 billion
USD.
 Every
thermal
power plant
uses wall
blowing
technique.
 Boiler efficiency increases
by 1-4% after wall blowing.
 It increases efficiency &
revenue of power plant &
cut the maintenance cost as
well.
3Copyright © Capgemini 2016. All Rights Reserved
Efficiency Analyzer for Wall blowers Using Predix Platform
Image of the Furnace before wall blowing will be taken and
stored in predix blobstore.
Deep learning algorithms will be applied to analyze the image
to check the condition of wall
Wall blowing process will be carried out.
Image of the Inner wall of the furnace will be taken again and
stored in predix cloud.
Analyze the image to check the impact of wall blowing
Output of the processed image before blowing and after
blowing will be stored for efficiency analysis.
Continuous building of training data set on the impact of wall
blowing activity
With analytical data , provide the recommendation for optimal
wall blowing schedule to improve the operation of the furnace
in thermal power plant
4Copyright © Capgemini 2013. All Rights Reserved
UAA/ACS
Predix Services Catering To Usecase
Efficiency Analyzer
Dashboard web app
Furnace Wall
Image
Deep
Learning
Algorithms
Furnace
Data
5Copyright © Capgemini 2013. All Rights Reserved
Architecture Diagram
6Copyright © Capgemini 2013. All Rights Reserved
Roadmap
Stage Delivery date
Design review 22-May-2017
Receive sample wall blower data set ,
Images
22-May-2017
Demo on Data integration 24-May-2017
Demo on Dashboard 26-May-2017
Demo on Analytics Integration 30-May-2017
Final Demo of the application 31-May-2017
7Copyright © Capgemini 2013. All Rights Reserved
Predix Services Catering To Usecase
www.capgemini.com
The information contained in this presentation is proprietary.
© 2016 Capgemini. All rights reserved. Rightshore® is a trademark belonging to Capgemini.
About Capgemini
With more than 180,000 people in over 40 countries,
Capgemini is one of the world's foremost providers of
consulting, technology and outsourcing services. The Group
reported 2015 global revenues of EUR 11.9 billion.
Together with its clients, Capgemini creates and delivers
business, technology and digital solutions that fit their
needs, enabling them to achieve innovation and
competitiveness. A deeply multicultural organization,
Capgemini has developed its own way of working, the
Collaborative Business ExperienceTM, and draws on
Rightshore®, its worldwide delivery model.
Learn more about us at www.capgemini.com
Rightshore® is a trademark belonging to Capgemini

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IIOT Platform for Thermal Power Plant Wall Blower Efficiency

  • 1. IIOT Quest Platform Efficiency Analyzers for Wall Blowers April 2017
  • 2. 2Copyright© Capgemini 2016. All Rights Reserved Thermal Power Plant – Market Research Thermal Power Sector Wall blower market Decline in Generation Capacity  NTPC revenue is 3.3 billon USD according to there annual report.  Due to wall blowing inefficiency, Facing loss of 0.102 billion USD.  Every thermal power plant uses wall blowing technique.  Boiler efficiency increases by 1-4% after wall blowing.  It increases efficiency & revenue of power plant & cut the maintenance cost as well.
  • 3. 3Copyright © Capgemini 2016. All Rights Reserved Efficiency Analyzer for Wall blowers Using Predix Platform Image of the Furnace before wall blowing will be taken and stored in predix blobstore. Deep learning algorithms will be applied to analyze the image to check the condition of wall Wall blowing process will be carried out. Image of the Inner wall of the furnace will be taken again and stored in predix cloud. Analyze the image to check the impact of wall blowing Output of the processed image before blowing and after blowing will be stored for efficiency analysis. Continuous building of training data set on the impact of wall blowing activity With analytical data , provide the recommendation for optimal wall blowing schedule to improve the operation of the furnace in thermal power plant
  • 4. 4Copyright © Capgemini 2013. All Rights Reserved UAA/ACS Predix Services Catering To Usecase Efficiency Analyzer Dashboard web app Furnace Wall Image Deep Learning Algorithms Furnace Data
  • 5. 5Copyright © Capgemini 2013. All Rights Reserved Architecture Diagram
  • 6. 6Copyright © Capgemini 2013. All Rights Reserved Roadmap Stage Delivery date Design review 22-May-2017 Receive sample wall blower data set , Images 22-May-2017 Demo on Data integration 24-May-2017 Demo on Dashboard 26-May-2017 Demo on Analytics Integration 30-May-2017 Final Demo of the application 31-May-2017
  • 7. 7Copyright © Capgemini 2013. All Rights Reserved Predix Services Catering To Usecase
  • 8. www.capgemini.com The information contained in this presentation is proprietary. © 2016 Capgemini. All rights reserved. Rightshore® is a trademark belonging to Capgemini. About Capgemini With more than 180,000 people in over 40 countries, Capgemini is one of the world's foremost providers of consulting, technology and outsourcing services. The Group reported 2015 global revenues of EUR 11.9 billion. Together with its clients, Capgemini creates and delivers business, technology and digital solutions that fit their needs, enabling them to achieve innovation and competitiveness. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model. Learn more about us at www.capgemini.com Rightshore® is a trademark belonging to Capgemini