iot-hub-raspberry-pi-kit-node-get-started.md

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Connect Raspberry Pi to Azure IoT Hub in the cloud (Node.js)	Learn how to set up and connect Raspberry Pi to Azure IoT Hub for Raspberry Pi to send data to the Azure cloud platform in this tutorial.	kgremban	eliotgra	azure iot raspberry pi, raspberry pi iot hub, raspberry pi send data to cloud, raspberry pi to cloud	iot-hub	iot-hub	javascript	conceptual	02/22/2022	kgremban	Role: Cloud Development devx-track-js

Connect Raspberry Pi to Azure IoT Hub (Node.js)

[!INCLUDE iot-hub-get-started-device-selector]

In this tutorial, you begin by learning the basics of working with Raspberry Pi that's running Raspberry Pi OS. You then learn how to seamlessly connect your devices to the cloud by using Azure IoT Hub. For Windows 10 IoT Core samples, go to the Windows Dev Center.

Don't have a kit yet? Try Raspberry Pi online simulator. Or buy a new kit here.

What you do

• Create an IoT hub.

• Register a device for Pi in your IoT hub.

• Set up Raspberry Pi.

• Run a sample application on Pi to send sensor data to your IoT hub.

What you learn

• How to create an Azure IoT hub and get your new device connection string.

• How to connect Pi with a BME280 sensor.

• How to collect sensor data by running a sample application on Pi.

• How to send sensor data to your IoT hub.

What you need

• A Raspberry Pi 2 or Raspberry Pi 3 board.

• An Azure subscription. If you don't have an Azure subscription, create a free account before you begin.

• A monitor, a USB keyboard, and mouse that connects to Pi.

• A Mac or PC that is running Windows or Linux.

• An internet connection.

• A 16 GB or above microSD card.

• A USB-SD adapter or microSD card to burn the operating system image onto the microSD card.

• A 5-volt 2-amp power supply with the 6-foot micro USB cable.

The following items are optional:

• An assembled Adafruit BME280 temperature, pressure, and humidity sensor.

• A breadboard.

• 6 F/M jumper wires.

• A diffused 10-mm LED.

Note

If you don't have the optional items, you can use simulated sensor data.

Create an IoT hub

[!INCLUDE iot-hub-include-create-hub]

Register a new device in the IoT hub

[!INCLUDE iot-hub-include-create-device]

Set up Raspberry Pi

Install the Raspberry Pi OS

Prepare the microSD card for installation of the Raspberry Pi OS image.

1. Download Raspberry Pi OS with desktop.

   a. Raspberry Pi OS with desktop (the .zip file).

   b. Extract the Raspberry Pi OS with desktop image to a folder on your computer.

2. Install Raspberry Pi OS with desktop to the microSD card.

   a. Download and install the Etcher SD card burner utility.

   b. Run Etcher and select the Raspberry Pi OS with desktop image that you extracted in step 1.

   c. Select the microSD card drive. Etcher may have already selected the correct drive.

   d. Click Flash to install Raspberry Pi OS with desktop to the microSD card.

   e. Remove the microSD card from your computer when installation is complete. It's safe to remove the microSD card directly because Etcher automatically ejects or unmounts the microSD card upon completion.

   f. Insert the microSD card into Pi.

Enable SSH and I2C

1. Connect Pi to the monitor, keyboard, and mouse.

2. Start Pi and then sign into Raspberry Pi OS by using pi as the user name and raspberry as the password.

3. Click the Raspberry icon > Preferences > Raspberry Pi Configuration.

   

4. On the Interfaces tab, set SSH and I2C to Enable, and then click OK.

   Interface	Description
   SSH	Secure Shell (SSH) is used to remote into the Raspberry Pi with a remote command-line. This is the preferred method for issuing the commands to your Raspberry Pi remotely in this document.
   I2C	Inter-integrated Circuit (I2C) is a communications protocol used to interface with hardware such as sensors. This interface is required for interfacing with physical sensors in this topic.

   If you don't have physical sensors and want to use simulated sensor data from your Raspberry Pi device, you can leave I2C disabled.

   

Note

To enable SSH and I2C, you can find more reference documents on raspberrypi.org and Adafruit.com.

Connect the sensor to Pi

Use the breadboard and jumper wires to connect an LED and a BME280 to Pi as follows. If you don't have the sensor, skip this section.

The BME280 sensor can collect temperature and humidity data. The LED blinks when the device sends a message to the cloud.

For sensor pins, use the following wiring:

Start (Sensor & LED)	End (Board)	Cable Color
VDD (Pin 5G)	3.3V PWR (Pin 1)	White cable
GND (Pin 7G)	GND (Pin 6)	Brown cable
SDI (Pin 10G)	I2C1 SDA (Pin 3)	Red cable
SCK (Pin 8G)	I2C1 SCL (Pin 5)	Orange cable
LED VDD (Pin 18F)	GPIO 24 (Pin 18)	White cable
LED GND (Pin 17F)	GND (Pin 20)	Black cable

Click to view Raspberry Pi 2 & 3 pin mappings for your reference.

After you've successfully connected BME280 to your Raspberry Pi, it should be like below image.

Connect Pi to the network

Turn on Pi by using the micro USB cable and the power supply. Use the Ethernet cable to connect Pi to your wired network or follow the instructions from the Raspberry Pi Foundation to connect Pi to your wireless network. After your Pi has been successfully connected to the network, you need to take a note of the IP address of your Pi.

Note

Make sure that Pi is connected to the same network as your computer. For example, if your computer is connected to a wireless network while Pi is connected to a wired network, you might not see the IP address in the devdisco output.

Run a sample application on Pi

Clone sample application and install the prerequisite packages

1. Connect to your Raspberry Pi with one of the following SSH clients from your host computer:

   Windows Users

   a. Download and install PuTTY for Windows.

   b. Copy the IP address of your Pi into the Host name (or IP address) section and select SSH as the connection type.

   

   Mac and Ubuntu Users

   Use the built-in SSH client on Ubuntu or macOS. You might need to run ssh pi@<ip address of pi> to connect Pi via SSH.

   [!NOTE] The default username is pi and the password is raspberry.

2. Install Node.js and NPM to your Pi.

   First check your Node.js version.

   node -v

   If the version is lower than 10.x, or if there is no Node.js on your Pi, install the latest version.

   curl -sSL https://deb.nodesource.com/setup_16.x | sudo -E bash
   sudo apt-get -y install nodejs

3. Clone the sample application.

   git clone https://github.com/Azure-Samples/azure-iot-samples-node.git

4. Install all packages for the sample. The installation includes Azure IoT device SDK, BME280 Sensor library, and Wiring Pi library.

   cd azure-iot-samples-node/iot-hub/Tutorials/RaspberryPiApp
   npm install

   [!NOTE] It might take several minutes to finish this installation process depending on your network connection.

Configure the sample application

1. Open the config file by running the following commands:

   nano config.json

   

   There are two items in this file you can configure. The first one is interval, which defines the time interval (in milliseconds) between messages sent to the cloud. The second one is simulatedData, which is a Boolean value for whether to use simulated sensor data or not.

   If you don't have the sensor, set the simulatedData value to true to make the sample application create and use simulated sensor data.

   Note: The i2c address used in this tutorial is 0x77 by default. Depending on your configuration it might also be 0x76: if you encounter an i2c error, try to change the value to 118 and see if that works better. To see what address is used by your sensor, run sudo i2cdetect -y 1 in a shell on the raspberry pi

2. Save and exit by typing Control-O > Enter > Control-X.

Run the sample application

Run the sample application by running the following command:

sudo node index.js '<YOUR AZURE IOT HUB DEVICE CONNECTION STRING>'

Note

Make sure you copy-paste the device connection string into the single quotes.

You should see the following output that shows the sensor data and the messages that are sent to your IoT hub.

Read the messages received by your hub

One way to monitor messages received by your IoT hub from your device is to use the Azure IoT Tools for Visual Studio Code. To learn more, see Use Azure IoT Tools for Visual Studio Code to send and receive messages between your device and IoT Hub.

For more ways to process data sent by your device, continue on to the next section.

Clean up resources

You can use the resources created in this topic with other tutorials and quickstarts in this document set. If you plan to continue on to work with other quickstarts or with the tutorials, do not clean up the resources created in this topic. If you do not plan to continue, use the following steps to delete all resources created by this topic in the Azure portal.

1. From the left-hand menu in the Azure portal, select All resources and then select the IoT Hub you created.
2. At the top of the IoT Hub overview pane, click Delete.
3. Enter your hub name and click Delete again to confirm permanently deleting the IoT Hub.

Next steps

You've run a sample application to collect sensor data and send it to your IoT hub.

[!INCLUDE iot-hub-get-started-next-steps]