This webinar is a hands-on tutorial to develop a sensor analytics application using the SensorThings API. SensorThings API offers a rich set of query functions that can be the basis for analytics. This tutorial will uncover these query functions.

1. #3: Analyze Your Smart City
- Build Sensor Analytics with OGC SensorThings API
Dr. Steve Liang, Ph.D., P.Eng.
Founder and CEO, SensorUp Inc.
Associate Professor, University of Calgary
Click here for webinar recording
Click here for source codes

2. About Dr. Steve Liang
๏ Associate Professor, Geomatics Engineering, Uni. Calgary
๏ AITF-Microsoft Industry Research Chair on Open Sensor
Web (2011~2014)
๏ Chair OGC SensorThings API Standard Working Group
๏ Rapporteur, ITU-T SG12/11 on Internet of Things Test
Specifications
๏ Founder and CEO, SensorUp Inc

3. About SensorUp
๏ We are a leader in Sensor Web
and IoT Platforms.
๏ We offer innovative and
comprehensive SensorThings
solutions.
๏ We are proud member of Eclipse
and Open Geospatial Consortium

4. News - SensorThings API Press Release

5. News - OGC SensorThings High-Chart and
Data-Table (HCDT) Library
http://www.sensorup.com/sensorthings-high-chart-
and-data-table-hcdt/

6. News - Calgary air quality update

7. News - Calgary air quality update

8. Useful Resources
Step #1: SensorThings Playground
http://pg.sensorup.com
Step #2: SensorThings Scratchpad
http://scratchpad.sensorup.com

9. What will be covered in this webinar series
Sense Your Smart City: Connect
Environmental Sensors to SensorThings API
Visualize Your Smart City: Build a Real-Time
Smart City Dashboard for SensorThings API
Analyze Your Smart City: Build Sensor
Analytics with SensorThings API
Build Interoperable Smart City Applications
Effortlessly

10. Today’s learning outcomes
๏ Review of SensorThings entities (ISO 19156 O&M)
๏ Pie chart of air quality readings (good, moderate, unhealthy)
๏ Comparison of max and min temperature readings
๏ Comparison of air quality of each station in the past week
๏ Show all air quality sensors within certain distance from a
location
๏ Show all air quality sensors that are NOT within a polygon

11. Why build your IoT application
with open standards?
Future Proof and Proven
Working
Leverage years of R&D
efforts for FREE!!

12. Today we will use SensorUp’s air quality
monitoring system in Calgary as an example.
http://example.sensorup.com/v1.0

13. What do you need?
Any text editor
A modern browser
(Chrome in this webinar)
A JSON viewer plugin
(JSONView in this
webinar)

14. GitHub
https://github.com/SensorUp/Webinars

15. IMPORTANT
We are using Highstock.js today.
Highstock/Highchart is open source
and free for non-commercial uses. But
it is NOT free for commercial uses.

16. Acknowledgement
Thanks to Mariam
Dost for preparing
today’s tutorials’
source codes.

17. The data model
AirBox
The Air in My
Backyard
• Plant Tower G3
• DHT22
• Particulate Matter 2.5
• Relative Humidity
• Air Temperature
My Backyard

18. Analytics Steps (Data Mining Steps)
1.Data Cleaning
2.Data Integration
3.Data Selection
4.Data Transformation
5.Data Mining
6.Pattern Evaluation
7.Knowledge Presentation
OGC SensorThings API

19. #1: Percentage of Good, Moderate
and Unhealthy Air Quality Readings

20. #1: Percentage of Good, Moderate
and Unhealthy Air Quality Readings
# of Good Results
# of All Results
# of Moderate Results# of Unhealthy Results

21. EPA Air Quality Index

22. Get the number of “unhealthy” readings,
i.e., greater than or equal to 35.5, from
SensorThings API
http://example.sensorup.com/v1.0/
Datastreams(3505)/Observations?
$filter=result ge 35.5
http://example.sensorup.com/v1.0/
Datastreams(3505)/Observations?
$filter=result gt 35.5&$top=1

23. Get the number of “modest” readings, i.e.,
between 13 and 35.5, from SensorThings
API
http://example.sensorup.com/v1.0/
Datastreams(3505)/Observations?
$filter=result lt 35.5 and result
ge 13&$top=1

24. Pie Chart of Air Quality Readings

25. #2: Daily max and min temperature of
the past week

26. Get a day’s maximum result value
http://example.sensorup.com/v1.0/
Datastreams(4207)/Observations?
$filter=day(phenomenonTime) eq 16 and
month(phenomenonTime) eq 8
1. Get the Observations on August 16

27. Get a day’s maximum result value
http://example.sensorup.com/v1.0/
Datastreams(4207)/Observations?
$filter=day(phenomenonTime) eq 16 and
month(phenomenonTime) eq 8&$orderby=result
desc&$top=1&$select=result,phenomenonTime
2. Get the Observation with the largest result value on
August 16

28. Get a day’s minimum result value
http://example.sensorup.com/v1.0/
Datastreams(4207)/Observations?
$filter=day(phenomenonTime) eq 16 and
month(phenomenonTime) eq 8&$orderby=result
asc&$top=1&$select=result,phenomenonTime
Get the Observation with the smallest result value on
August 16

29. A different chart of the daily max and min
temperature of the past week

30. #3 Plot the worst air quality of each
station in the past week
1. Get a list of the air quality Datastreams

31. #3 Plot the worst air quality of each
station in the past week
2. Get the worst air quality result from each Datastream

32. #4 Find all air quality sensors within
certain distance from a location

33. #4 Find all air quality sensors within
certain distance from a location
$filter=(geo.distance(location,
geography’POINT(-114.00+50.99)’) lt 10000)&
$orderby=id desc
click here for an example

34. #4 Find all air quality sensors within
certain distance from a location

35. #5: Find all sensors that are outside of a
polygon

36. #5: Find all sensors that are outside of a
polygon
$filter=st_disjoint(location,
geography'POLYGON ((…))’)&$orderby=id desc

37. GitHub
https://github.com/SensorUp/Webinars

38. Next Week
Build Interoperable Smart City Applications
Effortlessly