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13 Step Guide To Build Iot Dashboard with Node-RED

Internet of Things (IoT) has revolutionized the way we interact with our devices, and creating an IoT dashboard can provide valuable insights into your data. Node-RED, a popular flowbased programming tool, offers a user-friendly platform for building IoT dashboards. In this step-by-step guide, we will show you how to create an IoT dashboard using Node-RED to monitor and visualize your IoT data.

Step 1: Install Node-RED

Before diving into building the dashboard, ensure that you have Node.js installed on your system. If you don't have it already, you can download and install Node.js from the official website ( After Node.js is installed, open your terminal or command prompt and run the following command:

Step 2: Launch Node-RED

Once Node-RED is installed, you can start the Node-RED server by simply running the following command in your terminal:

Step 3: Access the Dashboard

Open your web browser and navigate to (http://localhost:1880). This will take you to the Node-RED editor, where you can create and manage your IoT flows.

Step 4: Add Nodes

On the left side of the editor, you will find a palette of nodes. For our dashboard, we'll start by adding an "inject" node, which is used to simulate IoT data. To add the "inject" node, simply drag and drop it onto the workspace.

Step 5: Configure the Inject Node

Double-click on the "inject" node you just added to configure its settings. You can set the payload to send any test data you want to display on the dashboard. This data will serve as a placeholder until you connect real IoT devices.

Step 6: Add Dashboard Nodes

Next, we need to add the "dashboard" node to create the dashboard UI. Drag and drop the "dashboard" node onto the workspace.

Step 7: Connect Nodes

To link the "inject" node with the "dashboard" node, drag a wire between them. This connection will allow the simulated data to be displayed on the dashboard.

Step 8 Configure the Dashboard Node

Double-click on the "dashboard" node to configure its settings. Here, you can set up various dashboard elements such as gauges, charts, text, and more to display your IoT data. Customize the layout and appearance to suit your needs.

Step 9: Deploy

With the nodes and dashboard configured, click the "Deploy" button in the top-right corner of the editor. This will save your flow and deploy it to the Node-RED runtime.

Step 10: View the Dashboard

After deploying the flow, open a new tab in your browser and navigate to (http://localhost:1880/ui). Congratulations! You can now view your IoT dashboard with the simulated data you set up.

Step 11: Real IoT Data

To make your IoT dashboard truly useful, you'll need to connect actual IoT devices or sensors to your Node-RED flow. You can achieve this by using various IoT protocols and communication methods such as MQTT, HTTP, CoAP, etc. Once connected, your dashboard will display real-time data from your IoT devices.

Step 12: Enhance and Customize

Node-RED offers a vast selection of nodes and external libraries that can enhance your dashboard's functionality and visual appeal. Explore the Node-RED library and communitycontributed nodes to find additional features and integrations that can elevate your IoT dashboard.

Step 13: Secure Your IoT Devices and Communication Channels

As you build and expand your IoT ecosystem, remember to prioritize security. Secure your IoT devices and communication channels to protect your data and maintain privacy. Use strong authentication, encryption, and keep your devices' firmware up-to-date to minimize vulnerabilities.

In conclusion, Node-RED provides an accessible and efficient platform to create powerful IoT dashboards. By following this step-by-step guide, you can build a basic IoT dashboard with simulated data and then expand it to integrate real IoT devices. With the ability to customize and enhance your dashboard, you can gain valuable insights from your IoT data and make informed decisions based on real-time information. Just remember to prioritize security to ensure the safety and privacy of your IoT ecosystem.



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