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Connecting Assets &
Facilities with IoT
TAN LIM SOON FU
CTO
Cloud Based Facilities Maintenance Solutions
Building Assets & Facilities
Assets & Facilities Maintenance Services
Corrective
Maintenance
 Reaction maintenance
Assets & Facilities Maintenance Services
Corrective
Maintenance
Planned
Prevention
Maintenance
 Regularly scheduled,
time-based actions
Assets & Facilities Maintenance Services
Predictive
Maintenance
 Condition monitoring and perform
history data pattern to predict
future conditions
Adoption of Predictive Maintenance
Adoption of Predictive Maintenance
Assets Digitisation (Asset’s data capturing )
What?
Updating of
maintenance
history records
Condition
monitoring of
threshold status,
failure and
warning alerts
Assets Digitisation (Asset’s data capturing )
What?
Updating of
maintenance
history records
Condition
monitoring of
threshold status,
failure and
warning alerts
How?
Tagging asset with
mobile device
Wired/Wireless
sensor networking
and cloud-based
big data system.
Assets Digitisation (Asset’s data capturing )
What?
Updating of
maintenance
history records
Condition
monitoring of
threshold status,
failure and
warning alerts
How?
Tagging asset with
mobile device
Wired/Wireless
sensor networking
and cloud-based
big data system.
Why?
Capture historical
data for predictive
analysis.
Optimise energy
usages.
Case study
 Prediction Maintenance for air
condition facilities maintenance service
in a private hospital.
Case study
 Technician will do maintenance service of the chiller.
Case study
 Each chiller will be sticked on a QR code and NFC
sticker for identification.
Case study
 Technician required to scan or tap the sticker using
mobile phone to get the asset details.
Case study
 After maintenance serviced, the technician will
update the status via the mobile app.
Case study
 Benefits:-
 Elimination of unscheduled downtime by
reductions of 40% to 60%
 Cost saving up to 50%
 Better resource planning and utlisation
 Customer satisfications
 The asset details were updated and sent back to
web-based administration module.
Case study
 Benefits:-
 Elimination of unscheduled downtime by
reductions of 40% to 60%
 Cost saving up to 50%
 Better resource planning and utlisation
 Customer satisfications
 Asset service photos can be captured for
verification.
Case study
 The system will be able to generate a smart
scheduler with next forcast or planned
maintenance time for the assets.
Case study
 Benefits:-
 Elimination of unscheduled downtime by
reductions of 40% to 60%
 Cost saving up to 50%
 Better resource planning and utlisation
 Customer satisfications
Improvements of maintenance services
 Reduce in batch data
processing
Improvements of maintenance services
 Reduce in batch data
processing
 Planned Prevention and
Predictive maintenance
scheduling
Improvements of maintenance services
 Reduce in batch data
processing
 Planned Prevention and
Predictive maintenance
scheduling
 On demand maintenance
services reporting
Improvements of maintenance services
 Reduce in batch data
processing
 Planned Prevention and
Predictive maintenance
scheduling
 On demand maintenance
services reporting
 Assets condition monitoring
 Real time asset failure alerting
Why IoT?
 Asset’s data telemetry
 Standard communication networks.
 Cloud-based processing power.
 Advanced data analytics using machine learning
Thank You!
 Find out more at our booth Kainos Technology Sdn Bhd
www.mastis.biz

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Connecting assets and facilities with IoT

  • 1. Connecting Assets & Facilities with IoT TAN LIM SOON FU CTO Cloud Based Facilities Maintenance Solutions
  • 2. Building Assets & Facilities
  • 3. Assets & Facilities Maintenance Services Corrective Maintenance  Reaction maintenance
  • 4. Assets & Facilities Maintenance Services Corrective Maintenance Planned Prevention Maintenance  Regularly scheduled, time-based actions
  • 5. Assets & Facilities Maintenance Services Predictive Maintenance  Condition monitoring and perform history data pattern to predict future conditions
  • 8. Assets Digitisation (Asset’s data capturing ) What? Updating of maintenance history records Condition monitoring of threshold status, failure and warning alerts
  • 9. Assets Digitisation (Asset’s data capturing ) What? Updating of maintenance history records Condition monitoring of threshold status, failure and warning alerts How? Tagging asset with mobile device Wired/Wireless sensor networking and cloud-based big data system.
  • 10. Assets Digitisation (Asset’s data capturing ) What? Updating of maintenance history records Condition monitoring of threshold status, failure and warning alerts How? Tagging asset with mobile device Wired/Wireless sensor networking and cloud-based big data system. Why? Capture historical data for predictive analysis. Optimise energy usages.
  • 11. Case study  Prediction Maintenance for air condition facilities maintenance service in a private hospital.
  • 12. Case study  Technician will do maintenance service of the chiller.
  • 13. Case study  Each chiller will be sticked on a QR code and NFC sticker for identification.
  • 14. Case study  Technician required to scan or tap the sticker using mobile phone to get the asset details.
  • 15. Case study  After maintenance serviced, the technician will update the status via the mobile app.
  • 16. Case study  Benefits:-  Elimination of unscheduled downtime by reductions of 40% to 60%  Cost saving up to 50%  Better resource planning and utlisation  Customer satisfications  The asset details were updated and sent back to web-based administration module.
  • 17. Case study  Benefits:-  Elimination of unscheduled downtime by reductions of 40% to 60%  Cost saving up to 50%  Better resource planning and utlisation  Customer satisfications  Asset service photos can be captured for verification.
  • 18. Case study  The system will be able to generate a smart scheduler with next forcast or planned maintenance time for the assets.
  • 19. Case study  Benefits:-  Elimination of unscheduled downtime by reductions of 40% to 60%  Cost saving up to 50%  Better resource planning and utlisation  Customer satisfications
  • 20. Improvements of maintenance services  Reduce in batch data processing
  • 21. Improvements of maintenance services  Reduce in batch data processing  Planned Prevention and Predictive maintenance scheduling
  • 22. Improvements of maintenance services  Reduce in batch data processing  Planned Prevention and Predictive maintenance scheduling  On demand maintenance services reporting
  • 23. Improvements of maintenance services  Reduce in batch data processing  Planned Prevention and Predictive maintenance scheduling  On demand maintenance services reporting  Assets condition monitoring  Real time asset failure alerting
  • 24. Why IoT?  Asset’s data telemetry  Standard communication networks.  Cloud-based processing power.  Advanced data analytics using machine learning
  • 25. Thank You!  Find out more at our booth Kainos Technology Sdn Bhd www.mastis.biz