Analyze Your Smart City: Build Sensor Analytics with OGC SensorThings API

#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

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

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

News - SensorThings API Press Release

News - OGC SensorThings High-Chart and Data-Table (HCDT) Library

http://www.sensorup.com/sensorthings-high-chart-and-data-table-hcdt/

News - Calgary air quality update

News - Calgary air quality update

Useful Resources

Step #1: SensorThings Playground

http://pg.sensorup.com

Step #2: SensorThings Scratchpad

http://scratchpad.sensorup.com

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

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

Why build your IoT application with open standards?

Future Proof and Proven Working

Leverage years of R&D efforts for FREE!!

Today we will use SensorUp’s air quality monitoring system in Calgary as an example.

http://example.sensorup.com/v1.0

What do you need?

Any text editor

A modern browser (Chrome in this webinar)

A JSON viewer plugin (JSONView in this webinar)

GitHub

https://github.com/SensorUp/Webinars

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.

Acknowledgement

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

The data model

AirBox

The Air in My Backyard

• Plant Tower G3 • DHT22

• Particulate Matter 2.5 • Relative Humidity • Air Temperature

My Backyard

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

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

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

# of Good Results# of All Results

# of Moderate Results# of Unhealthy Results

EPA Air Quality Index

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

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

Pie Chart of Air Quality Readings

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

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

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

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

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

#3 Plot the worst air quality of each station in the past week

1. Get a list of the air quality Datastreams

#3 Plot the worst air quality of each station in the past week

2. Get the worst air quality result from each Datastream

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

#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

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

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

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

$filter=st_disjoint(location, geography'POLYGON ((…))’)&$orderby=id desc

GitHub

https://github.com/SensorUp/Webinars

Next Week

Build Interoperable Smart City Applications Effortlessly