IoT in building maintenance services with case study

1. IoT in Building
Maintenance Services
©2017 Kainos Technology Sdn Bhd
Presented by:
Tan Lim Soon Fu
(tanlsf@mastis.biz)

2. Building Assets & Facilities
Building facilities
management is
getting important
and critical to ensure
those facilities
services are in
smooth and
continuous operation
condition.
©2017 Kainos Technology Sdn Bhd

3. Assets & Facilities Maintenance
Corrective
Maintenance
Ad-hoc, Reaction
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4. Assets & Facilities Maintenance
Corrective
Maintenance
Planned
Prevention
Maintenance
 Regularly scheduled,
time-based actions
©2017 Kainos Technology Sdn Bhd

5. Assets & Facilities Maintenance
Corrective
Maintenance
Planned
Prevention
Maintenance
Predictive
Maintenance
 Condition monitoring and perform
history data pattern to predict
future conditions
©2017 Kainos Technology Sdn Bhd

6. Assets Digitisation Solution
What?
Updating of
maintenance
history records
Condition
monitoring of
threshold status,
failure and warning
alerts
©2017 Kainos Technology Sdn Bhd

7. Assets Digitisation Solution
How?
Updating of
maintenance
history records
Condition
monitoring of
threshold status,
failure and warning
alerts
Tagging asset with
mobile device
Wired/Wireless
sensor networking
and cloud-based
big data system.
©2017 Kainos Technology Sdn Bhd

8. Assets Digitisation Solution
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.
©2017 Kainos Technology Sdn Bhd

9. Case study
©2017 Kainos Technology Sdn Bhd
 Prediction Maintenance for air condition facilities
maintenance service in a private hospital.

10. Case study
 Technician will do maintenance service of the chiller.
©2017 Kainos Technology Sdn Bhd

11. Case study
 Each chiller will be sticked on a QR code and NFC
sticker for identification. ©2017 Kainos Technology Sdn Bhd

12. Case study
 Technician required to scan or tap the sticker
using mobile phone to get the asset details. ©2017 Kainos Technology Sdn Bhd

13. Case study
 After maintenance serviced, the technician will
update the status via the mobile app. ©2017 Kainos Technology Sdn Bhd

14. 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.
©2017 Kainos Technology Sdn Bhd

15. 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.
©2017 Kainos Technology Sdn Bhd

16. Case study
 The system will be able to generate a smart
scheduler with next forcast or planned maintenance
time for the assets. ©2017 Kainos Technology Sdn Bhd

17. Improvements of maintenance
services
Reduce in batch data
processing
©2017 Kainos Technology Sdn Bhd

18. Improvements of maintenance
services
Reduce in batch data
processing
Planned Prevention
and Predictive
maintenance
scheduling
©2017 Kainos Technology Sdn Bhd

19. Improvements of maintenance
services
Reduce in batch data
processing
Planned Prevention and
Predictive maintenance
scheduling
On demand maintenance
services reporting
©2017 Kainos Technology Sdn Bhd

20. 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
©2017 Kainos Technology Sdn Bhd

21. Energy Efficiency Management
▪ Asset Remote Monitoring (ARM
dashboard) and alert status notifications
▪ “Real Time” monitoring of energy, chillers’
efficiency and indoor air quality (IAQ).
▪ Supporting wired (Modbus TCP/IP)
connection to the chiller and wireless
sensors to AHUs FCUs and IAQ sensors.
▪ Plug and play installation of wireless
sensors for IAQ, AHU and IAQ.
▪ IAQ sensors, Chillers, AHUs and FCUs are
connected with sensors data telemetry to
the cloud.
▪ “Real-time” data are monitoring through a
dashboard locally or remotely. ©2017 Kainos Technology Sdn Bhd

22. Preventive & Predictive Maintenance
• Monitor an asset’s health to head off
potential problems, while promoting
equipment efficiency through preventive
maintenance scheduling .
• Collect and analyse the untapped data
from your connected assets to proactively
predictive maintenance, decrease
downtime, and improve retention of the
asset’s value.
• PdM for all critical assets and facilities
(e.g. chillers, AHUs, chill water tanks,
filters)
Use temp, humidity, vibration sensors
for motor based equipment.
Use image recognition & IAQ analysis
for cleaning service prediction.
©2017 Kainos Technology Sdn Bhd

23. Chiller Energy Optimisation
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24. The IoT Platform
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25. Why IoT?
Asset’s data telemetry
Standard communication networks.
Cloud-based processing power.
Advanced data analytics using machine
learning
©2017 Kainos Technology Sdn Bhd

26. Thank You!
Find out more at
www.mastis.biz
©2017 Kainos Technology Sdn Bhd