Rob Purser
Development Manager for IoT and Hardware Interfacing for MATLAB at MathWorks. Leads the creation of software that connects MATLAB with the real world
Lots Collected, Little Analyzed
- Collection without analysis has negative ROI
Most IoT data are not used currently. For example, only 1 percent of data from an oil rig with 30,000 sensors is examined.
-- McKinsey & Company
- As difficult as it is to collect and capture data,
gaining insights via analysis takes just as much effort
- Dependable, real-world on-line analytics take time to develop, tune, and test.
A Project Focused Tour
Tide Prediction - Online Analytics
Nighttime Noise - Historical Analytics
Weather - IoT Analytic Workflow
Counting Cars - Edge Node Analytics
A Project Focused Tour
Tide Prediction - Online Analytics
Nighttime Noise - Historical Analytics
Weather - IoT Analytic Workflow
Counting Cars - Edge Node Analytics
Weather - IoT Analytic Workflow
MathWorks Weather Station -- Revisited
Classic IoT Maker Project with Machine Learning
Deep Dive: Google "mathworks weather revisit"
Weather - IoT Analytic Workflow
Weather - IoT Analytic Workflow
Weather - IoT Analytic Workflow
Weather - IoT Analytic Workflow
Weather - IoT Analytic Workflow
Weather - IoT Analytic Workflow
Weather - IoT Analytic Workflow
Weather - IoT Analytic Workflow
Weather - IoT Analytic Workflow
Weather - IoT Analytic Workflow
Weather - IoT Analytic Workflow
Weather - IoT Analytic Workflow
MathWorks Products for IoT
MathWorks Products for IoT
ThingSpeak.com
- Analytic IoT Platform
- Running for more than 6 years
- >20,000 active users worldwide
- Integrated MATLAB engine
- Designed for engineers and scientists
- Free for low data volumes
- Lots of examples and projects
A Project Focused Tour
Tide Prediction - Online Analytics
Nighttime Noise - Historical Analytics
Weather - IoT Analytic Workflow
Counting Cars - Edge Node Analytics
Car Counter - Edge Node Analytics
Counting Cars
Traffic monitor using a Raspberry Pi & Webcam
Deep Dive: Google "count cars thingspeak"
Car Counter - Edge Node Analytics
Counting Cars
Traffic monitor using a Raspberry Pi & Webcam
Deep Dive: Google "count cars thingspeak"
Car Counter - Edge Node Analytics
Embedded devices have always used:
- Signal processing
- Matrix math
- Closed loop control
Powerful mobile processors enable:
- Sensor fusion & analytics
- Computer vision & image processing
- Trained machine learning
- Statistical modeling
- Small vocabulary voice recognition
Car Counter - Edge Node Analytics
Car Counter - Edge Node Analytics
Foreground Detection, 2-D Median Filter, Blob Analysis
Feeds custom counting block and Transmit to ThingSpeak
Car Counter - Edge Node Analytics
Foreground Detection, 2-D Median Filter, Blob Analysis
Feeds custom counting block and Transmit to ThingSpeak
Car Counter - Edge Node Analytics
A Project Focused Tour
Tide Prediction - Online Analytics
Nighttime Noise - Historical Analytics
Weather - IoT Analytic Workflow
Counting Cars - Edge Node Analytics
Night Noise - Exploratory Analysis
Night Noise Analysis
Identify unusual changes in ambient noise level at night
Night Noise - Exploratory Analysis
Median Filter
Night Noise - Exploratory Analysis
Normalized based on first 3 hours
Polynomial fit of expected noise levels
Night Noise - Exploratory Analysis
Identify alarm conditions
> 1 std deviation above expected
Night Noise - Exploratory Analysis
To do: Investigate what happened this night...
Night Noise - Exploratory Analysis
A Project Focused Tour
Tide Prediction - Online Analytics
Nighttime Noise - Historical Analytics
Weather - IoT Analytic Workflow
Counting Cars - Edge Node Analytics
Tide Prediction - Online Analytics
On Line Tide Alerts
Tide Measurement and Prediction
Deep Dive: Google "tide matlab thingspeak"
Tide Prediction - Online Analytics
Edge Node
- Arduino
- Ultrasonic Rangefinder and Temperature Sensor
- Data Reduction
- De-noising and "De-batting"
- Sends Data to ThingSpeak
Tide Prediction - Online Analytics
On-Line Analysis
- Median Filter
- Temperature Compensation
- Convert to Water Depth
- Tweet @tidealerts
- Hysteresis and state machine to avoid being too "tweekative"
Tide Prediction - Online Analytics
On-Line Analysis
- Median Filter
- Temperature Compensation
- Convert to Water Depth
- Tweet @tidealerts
- Hysteresis and state machine to avoid being too "tweekative"
Tide Prediction - Online Analytics
Thank You!
- Collection without analysis has negative ROI
- Analysis happens at every stage
- Dependable, real-world on-line analytics take time to develop, tune, and test
- Trust can be lost in a single moment
- Check out ThingSpeak.com!
http://slides.com/rpurser/environmental_analysis
Targets, ThingSpeak, and MATLAB: analytics throughout your IoT system backup
By Rob Purser
Targets, ThingSpeak, and MATLAB: analytics throughout your IoT system backup
In this presentation, we will discuss three kinds of analytics common in IoT systems: sensor analytics at the edge node for data reduction, cloud-based online analytics for situational awareness, and historical data analytics for developing predictive and classification algorithms. You’ll see practical techniques for integrating all these types of analytics into your IoT system. We will demonstrate these techniques using various environmental data sources, including data from weather stations, noise monitors, tide gauges, and traffic sensors. These examples utilize embedded programming, image and signal processing, and machine learning techniques to demonstrate how analytics can be integrated at all phases in your IoT system.
