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ThingLabs IoT Workshop

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

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ThingLabs IoT Workshop
ThingLabs IoT Workshop
ThingLabs IoT Workshop
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
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
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

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ThingLabs IoT Workshop

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