Do you rely on data loggers to gather critical equipment performance for your projects or troubleshoot an issue in your facility; or are you trying to decide if real-time data is the right alternative for your business?

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Are Data Loggers Going Extinct?
Real Time vs Data Loggers
Julien Stamatakis, PhD
CTO & Co Founder

2. Outline
Conclusion
Data Loggers
2
IoT
IoT New Use Cases

3. Data Loggers are electronic devices recording data
§ Temperature, Time Of Use, Room Occupancy, etc.
§ Battery Operated
§ Can record data for months
§ Internal data storage
§ Easy to use
§ Cheap
Used by
§ Energy Consultants
§ Building Managers
Data Loggers
3
http://www.onsetcomp.com/files/data-logger-basics.pdf

4. Why Use Data Loggers
4
Track Energy Building
Usage and Optimize
Equipment Runtime
Ensure Healthy
Indoor Air Quality
Diagnose causes of
occupant comfort
complaints
Continuous monitoring of conditions
without having to be on site

5. 5
How to Use a Data Logger
Configure & Install
Data Logger
Requires Computer
to Configure
Download &
Analyze Data
Requires Computer
to Download &
Analyze
Weeks to Months
No Visibility
http://www.onsetcomp.com/files/data-logger-basics.pdf
Cellular, WIFI, BLE versions available

6. Data Loggers are limited:
§ No real time data
§ After the fact analysis
§ Requires travel to retrieve the data [time & cost]
§ No notification for device issue
§ Not designed for real time analytics
Limitations of Data Loggers
6

7. Market offers Advanced Analytics Engines
but
It is held back by Antiquated Sensor Data Feeds
requiring travel and manual data collection
Data Collection Bottleneck
7

8. Internet of Things
A proposed development of the Internet in which everyday objects have network
connectivity, allowing them to send and receive data
The Internet of Things Revolution
8
2000’s1990 2017
Internet Mobile IoT

9. The Internet of Things Revolution
9
Hardware Service

10. The Internet of Things Revolution
10
Leverages latest Technologies
• Hardware
• Communications
• Cloud-based
Real Time Data Analytics
• Multiple Data Sources
• Predictive Analytics
• Real time Alerts
Hardware Service

11. 11
Leveraging the Cloud
Install
IoT Device
Cloud based
Configuration
Analyze Data
Cloud based
Analytics
Instantaneous
Real Time Alerts
and Adjustments

12. 12
Leveraging the Cloud
IoT Device Gateway Any Computer

13. 13
All IoT technologies are not created equal
Consumer
IoT
Industrial
IoT
Low range, Wi-Fi available
Appliances are replaceable
Low complexity
Large Facilities, No Wi-Fi widely available
Equipment expensive to replace
High complexity and requires scalability
802.15.4 Cellular LoRa

14. Real Time Alerts
Space temperature monitoring

15. Real Time Alerts
Space temperature monitoring
Be alerted and react to abnormal temperature
increase before tenants complain
Alert
Generated
OK
Thres
hold OK

16. Real Time Alerts
Cooling Tower Monitoring

17. Alert
Generated
OK
Bleed ON for more than 10 hours
Sensor not detecting water
OK
Bleed Sensor
Conductivity
Bleed Control
Real Time Alerts
Cooling Tower Monitoring

18. Real Time Events
IAQ/CO2 Monitoring

19. Real Time Events
IAQ/CO2 Monitoring
Door Closed, Non Occupied

20. Advanced Analytics
Leak Detection in Irrigation System

21. OK Baseline Water Consumption Increasing OK
Bleed Sensor
Conductivity
Bleed Control
Advanced Analytics
Leak Detection in Irrigation System

22. External Data Sources
Compressors Runtime vs Observed Temperature

23. External Data Sources
Compressors Runtime vs Observed Temperature
Weekend WeekendWeekend

24. 24
Real time Adjustments
C
C
C
C
C
C
C
C
C
C
C
C
S
Light Circuits controlled based on a Light Sensor

25. IoT for Wireless Retrofits
Wireless RTU Retrofit
RTUs start at the wrong time
ü Controller needs to be replaced
ü Up to 33% savings on the each RTU
CT

26. Conclusion
26
Data Loggers
§ Requires experienced technician to
install & replace
§ Data is stuck and unavailable until
downloaded
§ Limited available Analytics
IoT
§ Easy install & replacement based on
Cloud Configuration
§ Multiple users have real time access to
the data
§ Extended devices connectivity such as
chemical stations, BMS, etc.
§ Real time alerts, advanced analytics
available such as predictive
maintenance, real-time adjustments,
etc.
§ Multiple data sources and data
available in real time in other systems

27. Conclusion
Data Loggers are creating a data collection bottleneck
* Data Loggers are cheap and easy to use but they don’t offer real time data
* Cost of travel, manual collection, and failed collection are often overlooked
* IoT leverages latest technologies both at the hardware and Cloud levels enabling
state of the art data analytics and applications
27

28. Questions?
28