Lab Handson: Power your Creations with Intel Edison!
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The document provides a comprehensive overview of the Intel IoT Developer Kit, detailing its components, including the Intel Edison and Galileo boards. It outlines the setup process, developer environments, programming languages, and resources available for creating IoT applications. Additionally, it emphasizes the importance of the IoT platform for innovators looking to prototype and produce wearable computing products.
Lab Handson: Power your Creations with Intel Edison!
- 1. Getting Started with Intel IoT Developer Kit – Dev kit Sulamita Garcia – Developer Evangelist – Twitter @sulagarcia Milano, November 28 2014
- 2. “If we’re not a part of this, we’re going to miss where the future of computing is going.” Brian Krzanich, Intel CEO Rome Maker Faire Oct 2013
- 3. 3 VALUE PROPOSITION The Intel® Edison development platform is designed to lower the barriers to entry for a range of Inventors, Entrepreneurs and consumer product designers to rapidly prototype and produce IoT and wearable computing products. Intel Confidential
- 4. Agenda • Devkit components: hardware and software • Setting up Galileo/Edison • Setting up developer environment • Running sample codes • Creating your application • Dev kit library (MRAA) and sensors repository (UPM)
- 6. Intel® IoT Developer Kit Components LibMraa UPM (Sensor/Actuator library repository) Intel Galileo Gen 1 & 2 Board API Bindings C/C++, Node JS, Python Yocto based Linux OS image Intel Edison Arduino Development Board NodeJS Support C/C++ Tool Chain Wyliodrin Agent IoT Cloud Agent Hard Ware S/W Image on IoT platform Intel XDK IoT Edition (coming soon) Eclipse IDE + ISS (Optional) Wyliodrin (Visual Programming) Cloud Analytics / Mashery IDE/ Tools (Win, Mac, Linux) Sensors / Actuators Arduino IDE
- 7. Intel® Galileo Development Board – Gen 2 Board I/O: Mechanically compatible with Arduino Uno 20 digital input/output pins including 6 pins as PWM outputs 6 analog inputs 2 UART (RX/TX) 1 I2C 1 ICSP 6-pin header (SPI) USB device connector (Host) Micro USB device connector (client) SD Card connector DC power jack (7V – 15V DC input) Ref.: http://maker.intel.com
- 8. Intel® Edison module • 22 nm Intel® SoC that includes a dual-core, dual-threaded Intel® Atom™ CPU at 500 MHz • 32-bit Intel® Quark™ microcontroller at 100 MHz • 1 GB LPDDR3 POP memory • Flash storage 4 GB eMMC • WiFi and Bluetooth® Low Energy • 35.5 × 25.0 × 3.9 mm (1.4 × 1.0 × 0.15 inches) • 40 GPIOs: UART, I2C, SPI, I2S, GPIO(PWM), USB, Sd card Ref.: http://maker.intel.com
- 9. Intel® Edison - Arduino Expansion Board and Mini Breakout board Board I/O: Compatible with Arduino Uno (except only 4 PWM instead of 6 PWM) 20 digital input/output pins including 4 pins as PWM outputs 6 analog inputs 1 UART (RX/TX) 1 I2C 1 ICSP 6-pin header (SPI) Micro USB device connector OR (via mechanical switch) dedicated standard size USB host Type-A connector Micro USB device (connected to UART) SD Card connector DC power jack (7V – 15V DC input) Ref.: http://maker.intel.com
- 10. Grove Starter Kit Plus - Intel® IoT Edition Base Shield Buzzer Button Grove-LED Sound Sensor Rotary Angle Sensor Touch Sensor Smart Relay Light Sensor Temperature Sensor Grove Cables Mini Servo 9V to Barrel Jack Adapter - 126mm DIP LED Blue-Blue DIP LED Green-Green DIP LED Red-Red LCD RGB Backlight
- 11. Target audience and developer path Arduino Developer Arduino Developer Visual Programming (* Galileo Only) JavaScript Developer Wind River (*Galileo only) C / C++ Developer Target Audience Maker Beginner Intermediate Advanced Advanced Professional OS / Boot Image Tools/ Libraries Yocto Linux SPI Yocto Linux Yocto Linux Yocto Linux VxWorks Arduino LIbraries Wyliodrin XDK ISS IDE Dev Env Arduino IDE Win / Mac/ Linux Wyliodrin Web XDK Win/ Mac/ Linux Eclipse Win/ Mac / Linux WR Eclipse Win / Linux Programming Language Arduino Sketch C++ Visual Python JavaScript (Node JS) C/ C++ C / C++ Work Bench / ISS Cloud IoT Cloud Analytics IoT Cloud Analytics Widget IoT Cloud Analytics Mashery/ 3rd party IoT Cloud Analytics Mashery/ 3rd Party WR Cloud
- 13. 13 Store, visualize and analyze your IoT data in the cloud Keep track of your devices Graph data from your devices Invite others to see your device data Send messages to your devices Create rules to notify you when your data gets interesting Download your data for further analysis
- 14. Links 14 The Web Site – www.enableiot.com Getting Started - software.intel.com/iot Getting started Guides / Intel IoT Cloud Analytics Guide The API – github.com/enableiot/iotkit-api
- 15. Online documentation for reference This presentation: http://slidesha.re/1uuFgBH https://software.intel.com/en-us/iot/getting-started http://intel.com/edison/getstarted
- 16. Demos
- 17. Connecting your environment microUSB <-> USB Ref.: https://communities.intel.com/docs/DOC-23147 Power / Arduino / flashing OS Serial port
- 19. Arduino for Galileo or Edison https://communities.intel.com/docs/DOC-23242
- 20. Setting up other developer environments
- 21. Connect board via serial – discover port on Windows Ref.: https://software.intel.com/en-us/iot-c-eclipse
- 22. Connect board via serial – discover port on MacOS After connecting the serial cable, check if you have /dev/cu.usbserial(*) LINUX - /dev/ttyUSB0 If not, you may need to install a serial-USB FTDI driver. Example: Ref.: https://software.intel.com/en-us/iot-c-eclipse
- 23. Connect via serial – putty, goSerial or minicom Linux – minicom –D /dev/ttyUSB0 –s 115200 User: root, no password Ref.: https://software.intel.com/en-us/iot-c-eclipse
- 24. Connecting Edison – configure_edison --setup Configure password Configure wifi Galileo should automatically set up an IP address.
- 25. Find your Galileo/Edison IP address and write it down: command `ip a` Ping between board and your laptop to check connectivity Ref.: https://software.intel.com/en-us/iot-c-eclipse
- 26. Shortcut – if you feel comfortable with vi If you have experience coding directly from the command line, you have: • Busybox/vi • Gcc • Python • Node.js But we will continue with the IDEs, keep paying attention
- 27. Time to chose your path: C/C++: • Eclipse Javascript: • XDK Arduino • Arduino IDE for Galileo Visual Programming (Blocky) • Wyliodrin
- 28. Python and Node.js demo
- 29. C/C++/Eclipse
- 30. Eclipse(C/C++) – setting up Copy to your computer Extract the file you copied previously (iotdk-ide-${yourOS}.7z) with 7z Treats long paths better, needed for this file. If you need to download: http://www.7-zip.org/ Note: Better to extract the file to C: on Windows Execute devkit-launcher.bat Ref.: https://software.intel.com/en-us/iot-c-eclipse
- 32. Click on Remote System Explorer Ref.: https://software.intel.com/en-us/iot-c-eclipse
- 33. Fill the IP address on (3) Ref.: https://software.intel.com/en-us/iot-c-eclipse
- 34. Running a sample - Click back on C/C++ Ref.: https://software.intel.com/en-us/node/519969
- 35. Galileo - Right click 4_cpp_onboard_led Ref.: https://software.intel.com/en-us/node/519969
- 36. Click Run, select 4_cpp_onboard_led Ref.: https://software.intel.com/en-us/node/519969
- 38. Install the file copied from the SD card, XDK directory Ref.: http://xdk.intel.com/iot
- 40. Start with a Sample (under IoT Projects) – click on “Use this Template”
- 41. Should look like this
- 44. Click Manage your daemon/IoT device menu in the bottom taskbar. Select sync PC time w/ clock on target board to avoid computer and device timing issues.
- 45. Click Install/Build to fetch node modules specified in package.json and install them on device; 1st time click Build
- 46. Click Upload to upload the current project to the Galileo board
- 47. Click Run to run the project on the device. The LED should be blinking.
- 48. Devkit library (MRAA) and sensor repository (UPM)
- 49. MRAA lib - https://github.com/intel-iot-devkit/mraa MRAA – random letters, doesn’t mean anything API documentation available - http://iotdk.intel.com/docs/master/mraa/ Examples directory Minimum code sample: mraa_gpio_context gpio; gpio = mraa_gpio_init(6); mraa_gpio_dir(gpio, MRAA_GPIO_IN); for (;;) { fprintf(stdout, "Gpio is %dn", mraa_gpio_read(gpio)); sleep(1); } mraa_gpio_close(gpio);
- 50. UPM repository - https://github.com/intel-iot-devkit/upm List of supported sensors in C++ API documentation - http://iotdk.intel.com/docs/master/upm/ Examples directory Minimum code example: upm::GroveTemp* s = new upm::GroveTemp(0); std::cout << s->name() << std::endl; for (int i=0; i < 10; i++) { std::cout << s->value() << std::endl; sleep(1); }
- 51. Just remember to use the correspondent library Project name (right click) -> Settings -> C/C++ Build -> Settings -> Tool Settings -> Cross G++ Linker -> Miscelaneous
- 52. UPM API documentation – which library to use?
- 53. Recap – navigating IDZ IoT - https://software.intel.com/iot
- 54. Creating new app
- 55. If using Eclipse
- 56. Create your first app – copy&paste an existing sample
- 57. Creating your first app – if you use UPM repository Project name (right click) -> Settings -> C/C++ Build -> Settings -> Tool Settings -> Cross G++ Linker -> Miscelaneous
- 58. If using XDK
- 59. Node.js MRAA var mraa = require(“mraa”) UPM Find the library name – example: libupm-grove -> replace “lib” for “js” and you have it: jsupm_grove Code: require(“jsupm_grove”);
- 60. If using Python
- 61. Python MRAA import mraa UPM Find the library name – example: libupm-grove -> replace “lib” for “py” and you have it: pyupm-grove Code: import pyupm_grove
- 62. If using Arduino
- 63. Go to IDZ IoT page, find your sensor
- 64. Under References, follow Grove Wiki
- 65. //Load i2clcd module var LCD = require('jsupm_i2clcd'); //Initialize Jhd1313m1 at 0x62 (RGB_ADDRESS) and 0x3E (LCD_ADDRESS) var myLcd = new LCD.Jhd1313m1 (0, 0x3E, 0x62); myLcd.setCursor(0,0); myLcd.write('Hello World');
- 66. Now, who has problems???