This is the slide deck from the ThingLabs IoT Workshop at DEVintersection in October 2015

4. FieldGateways
ProtocolAdapters
OSSProject
CloudGateway
EventHub->IoTHub
Hot Path Analytics
Azure Stream Analytics, Azure Storm
Cold / Batch Analytics & Visualizations
Azure HDInsight, AzureML, Power BI,
Azure Data Factory
Hot Path Business Logic
PaaS V2 & Actor Framework
EnterpriseProcessConnections
BizTalkServices,NotificationHubs
Devices
Linux,Android,iOS,RTOS,Windows
Device
Connectivity
Analytics &
Operationalized Insights
Business
Connectivity

5. FieldGateways
ProtocolAdapters
OSSProject
CloudGateway
IoTHub
Hot Path Analytics
Azure Stream Analytics, Azure Storm
Cold / Batch Analytics & Visualizations
Azure HDInsight, AzureML, Power BI,
Azure Data Factory
Hot Path Business Logic
PaaS V2 & Actor Framework
EnterpriseProcessConnections
BizTalkServices,NotificationHubs
Devices
Linux,Android,iOS,RTOS,Windows
Device
Connectivity
Analytics &
Operationalized Insights
Business
Connectivity

6. MCU + MPUMCU (e.g. ATMega) MPU
Micro-controller (MCU) MCU + MPU MPU
Example
Arduino Pro Mini Arduino Uno Arduino Yún Particle Photon Raspberry Pi 2
MinnowBorad
MAX
Micro-
controller
ATmega328 ATmega328 ATmega32u4 -- -- --
Micro-
processor
-- -- Atheros AR9331 ARM Cortex-M3 ARM Cortex-A7 Intel Atom E38xx
GPU No No No No Yes Integrated
Wi-Fi SoC No No Yes Yes No No
Linux No No Yes No Yes Yes
Windows 10
IoT
No No No No Yes Yes

8. Preparing your development environment
Photon.ThingLabs.io/00/

9. (v 4.0 is not compatible with this lab)
If you have a 64-bit OS, be sure to install the
64-bit version of Node.js

12. The fundamentals of maker development kits

13. Azure IoT

14. Azure IoT

16. SETUP
Push & Hold to set to
Listen mode
D7
Digital pin with
onbaod LED
RESET
Push to reboot

17. Azure IoTParticle Cloud

20. The ‘Hello, World!’ of devices
Photon.ThingLabs.io/01/
Tweet with @ThingLabsIO and #HelloIoT

23. "name" "IoT-Labs"
"version" "0.1.0"
"private"
"description" ”Building Things with Node.js and Johnny-Five"
"main" ”lab01.js"
"author" "YOUR NAME HERE"
"license" "MIT"
"dependencies"
"johnny-five" "^0.8.104”
"particle-io" "^0.10.1”

26. // lab01.js
var "johnny-five"
var "particle-io"
// Set up the access credentials for Particle and Azure
var 'YOUR PARTICLE ACCESS TOKEN HERE'
var 'YOUR PARTICLE PHOTON DEVICE ID/ALIAS HERE'
// Define the pin that is connected to the LED
var
// Create a Johnny Five board instance to represent your Particle Photon.
// ‘Board ‘is simply an abstraction of the physical hardware,
// whether it is a Photon, Arduino, Raspberry Pi or other boards.
var new
new

27. // The board.on() executes the anonymous function when the
// board reports back that it is initialized and ready.
"ready" function
"Board connected..."
// Set the pin you connected to the LED to OUTPUT mode
this
// Create a loop to "flash/blink/strobe" the LED once per second
var
this function
this

28. In this lab you will read input from an analog sensor using a voltage divider.
Photon.ThingLabs.io/02/
Tweet with @ThingLabsIO and #ilikedark

29. A voltage divider splits input
voltage input amongst two or
more components.
The resisted voltage indicates the
value.
Brighter light == Less resistance;

31. // lab02.js
var "johnny-five"
var "particle-io"
// Set up the access credentials for Particle and Azure
var 'YOUR PARTICLE ACCESS TOKEN HERE'
var 'YOUR PARTICLE PHOTON DEVICE ID/ALIAS HERE'
// Define the pin you will use to read the residual voltage
// coming from the photoresistor
var
// Create a Johnny Five board instance to represent your Particle Photon.
// ‘Board ‘is simply an abstraction of the physical hardware, whether
// it is a Photon, Arduino, Raspberry Pi or other boards.
var new
new

32. // The board.on() executes the anonymous function when the
// board reports back that it is initialized and ready.
"ready" function
"Board connected..."
// Read the residual voltage coming from the photoresistor
this function
// Multiple the value by 3.3V / 1024, which the the
// value range of the photoresistor

33. In this lab you will use analog input to control digital output.
Photon.ThingLabs.io/03/
Tweet with @ThingLabsIO and #NightLight

36. // lab03.js
var "johnny-five"
var "particle-io"
// Set up the access credentials for Particle and Azure
var 'YOUR PARTICLE ACCESS TOKEN HERE'
var 'YOUR PARTICLE PHOTON DEVICE ID/ALIAS HERE'
// Define the pin that is connected to the LED
var “D0"
// Define the pin you will use to read the residual voltage
// coming from the photoresistor
var "A0"
// Create a Johnny Five board instance to represent your Particle Photon. ‘Board ‘is
simply an abstraction of
// the physical hardware, whether it is a Photon, Arduino, Raspberry Pi or other boards.
var new
new

37. // The board.on() executes the anonymous function when the
// board reports back that it is initialized and ready.
"ready" function
"Board connected..."
// Set the pin you connected to the LED to OUTPUT mode
this
// Create a new 'photoresistor' hardware instance.
new
// Analog pin 0
// TODO: Handle the photoresistor data events

38. // Replace ‘TODO: Handle the photoresistor data events’ with the following:
// Define the callback function for the photoresistor reading.
// The freq value used when the photoresistor was defined
// determines how often this is invoked.
// Scale the sensor's data from 0-1023 to 0-255.
"data" function
// Multiple the value by 3.3V / 1024, which the the
// value range of the photoresistor
this
// Set the brigthness of the LED
this

39. The fundamentals of connecting Things to the Cloud

42. In this lab you will gather telemetry and send it to the cloud.
Azure.ThingLabs.io/02/
Tweet with @ThingLabsIO and #Telemetry

43. {
"name": "IoT-Labs",
"version": "0.1.0",
"private": true,
"description": "Sample app that connects a device to Azure using Node.js",
"main": "weather.js",
"author": "YOUR NAME HERE",
"license": "MIT",
"dependencies": {
"johnny-five": "^0.8.104",
"particle-io": "^0.10.1” ,
"j5-sparkfun-weather-shield": "^0.2.0",
"azure-iot-device": "^1.0.0-preview.3”
}
}

44. // weather.js
var five = require ("johnny-five");
var device = require("azure-iot-device");
var Weather = require("j5-sparkfun-weather-shield")(five);
var Particle = require("particle-io");
// Set up the access credentials for Particle and Azure
var token = 'YOUR PARTICLE ACCESS TOKEN HERE';
var deviceId = 'YOUR PARTICLE PHOTON DEVICE ID/ALIAS HERE';
var location = 'THE LOCATION OF THE PARTICLE PHOTON DEVICE';
var connectionString = 'YOUR IOT HUB DEVICE-SPECIFIC CONNECTION STRING HERE';

45. // Create a Johnny Five board instance to represent your Particle Photon.
// Board is simply an abstraction of the physical hardware, whether it is
// a Photon, Arduino, Raspberry Pi or other boards.
var board = new five.Board({
io: new Particle({
token: token,
deviceId: deviceId
})
});
// Create an Azure IoT client that will manage the connection to your IoT Hub
// The client is created in the context of an Azure IoT device, which is why
// you use a device-specific connection string.
var client = new device.Client(connectionString, new device.Https());

46. // The board.on() executes the anonymous function when the
// board reports back that it is initialized and ready.
board.on("ready", function() {
console.log("Board connected...");
// The SparkFun Weather Shield for the Particle Photon has two sensors on the I2C bus –
// a humidity sensor (HTU21D) which can provide both humidity and temperature, and a
// barometer (MPL3115A2) which can provide both barometric pressure and humidity.
// Controllers for these are wrapped in the convenient ‘Weather’ plug-in class:
var weather = new Weather({
variant: "PHOTON",
freq: 1000,
elevation: 100 // Put your current elevation (in feet) here
})
// Don’t close the board.on() function yet

47. // The weather.on("data", callback) function invokes the anonymous callback function
// whenever the data from the sensor changes (no faster than every 25ms). The anonymous
// function is scoped to the object (e.g. this == the instance of Weather class object).
weather.on(“data" , function () {
// Create an Azure IoT Message
var payload = JSON.stringify({
deviceId: deviceId,
location: location,
// celsius & fahrenheit are averages taken from both sensors on the shield
celsius: this.celsius,
fahrenheit: this.fahrenheit,
relativeHumidity: this.relativeHumidity,
pressure: this.pressure,
feet: this.feet,
meters: this.meters
});
// Don’t close the weather.on() or board.on() functions yet

48. // Create the message based on the payload JSON
var message = new device.Message(payload);
// For debugging purposes, write out the message payload to the console
console.log("Sending message: " + message.getData());
// Send the message to Azure IoT Hub
// printResultsFor() is a function you will write next
client.sendEvent(message, printResultFor('send'));
}); // Close the weather.on() function
}); // Close the board.on() function

49. In this lab you will create visualizations of IoT data.
Azure.ThingLabs.io/03/
Tweet with @ThingLabsIO and #IoTBI

53. SELECT
MAX(fahrenheit) MaxTempF,
MIN(fahrenheit) MinTempF,
AVG(fahrenheit) AvgTempF,
MAX(celsius) MaxTempC,
MIN(celsius) MinTempC,
AVG(celsius) AvgTempC,
MAX(relativeHumidity) MaxHumidity,
MIN(relativeHumidity) MinHumidity,
AVG(relativeHumidity) AvgHumidity,
location,
deviceId,
System.Timestamp AS Timestamp
INTO
[TemperatureBI]
FROM
[DeviceInputStream]
GROUP BY
TumblingWindow (second, 1), deviceId, location

56. Tweet with @ThingLabsIO and #ThatWasAwesome