- List of hardware
- ThingsBoard configuration
- Programming the LinkIt One device
- Data visualization
- See also
- Your feedback
- Next steps
ThingsBoard is an open-source server-side platform that allows you to monitor and control IoT devices. It is free for both personal and commercial usage and you can deploy it anywhere. If this is your first experience with the platform we recommend to review what-is-thingsboard page and getting-started guide.
This sample application shows the capability to track GPS location of LinkIt ONE device and perform further visualization on the map. It performs collection of latitude and longitude values produced by GPS module. Collected data is pushed to ThingsBoard for storage and visualization. The purpose of this application is to demonstrate ThingsBoard data collection API and visualization capabilities.
The GPS module is a built-in module of LinkIt ONE. LinkIt ONE pushes data to ThingsBoard server via MQTT protocol by using PubSubClient library for Arduino. Data is visualized using the map widget which is a part of a customizable dashboard. The application that is running on LinkIt ONE is written using Arduino SDK which is quite simple and easy to understand.
Once you complete this sample/tutorial, you will see your device GPS and battery data on the following dashboard.
You will need to have ThingsBoard server up and running. The easiest way is to use Live Demo server.
1 2 3 4 5 mkdir -p ~/.mytb-data && sudo chown -R 799:799 ~/.mytb-data mkdir -p ~/.mytb-logs && sudo chown -R 799:799 ~/.mytb-logs docker run -it -p 9090:9090 -p 7070:7070 -p 1883:1883 -p 5683-5688:5683-5688/udp -v ~/.mytb-data:/data \ -v ~/.mytb-logs:/var/log/thingsboard --name mytb --restart always thingsboard/tb-postgres
These commands install ThingsBoard and load demo data and accounts.
This tutorial was prepared for Windows OS users. However, it is possible to run it on other OS (Linux or MacOS).
List of hardware
GPS and WIFI Antenna are shipped with a board.
Note ThingsBoard configuration steps are necessary only in case of local ThingsBoard installation. If you are using Live Demo instance all entities are pre-configured for your demo account. However, we recommend reviewing this steps because you will still need to get device access token to send requests to ThingsBoard.
Provision your device
This step contains instructions that are necessary to connect your device to ThingsBoard.
Open ThingsBoard Web UI (http://localhost:8080) in browser and login as tenant administrator
- login: [email protected]
- password: tenant
Go to “Devices” section. Click “+” button and create a device with the name “LinkIt One Demo Device”.
Once device created, open its details and click “Manage credentials”.
Copy auto-generated access token from the “Access token” field. Please save this device token. It will be referred to later as $ACCESS_TOKEN.
Click “Copy Device ID” in device details to copy your device id to the clipboard. Paste your device id to some place, this value will be used in further steps.
Provision your dashboard
Programming the LinkIt One device
If you already familiar with basics of LinkIt One programming using Arduino IDE you can skip the following step and proceed with step 2.
Step 1. LinkIt ONE and Arduino IDE setup.
In order to start programming LinkIt One device, you will need Arduino IDE installed and all related libraries. Please follow this guide in order to install the Arduino IDE and LinkIt One SDK:
Step 2. PubSubClient library installation.
Open Arduino IDE and go to Sketch -> Include Library -> Manage Libraries. Find PubSubClient by Nick O’Leary and install it.
Note that this tutorial was tested with PubSubClient 2.6.
Download and open gps_tracker.ino sketch.
Note You need to edit following constants and variables in the sketch:
- WIFI_AP - name of your access point
- WIFI_PASSWORD - access point password
- WIFI_AUTH - choose one of LWIFI_OPEN, LWIFI_WPA, or LWIFI_WEP.
- TOKEN - the $ACCESS_TOKEN from ThingsBoard configuration step.
- thingsboardServer - ThingsBoard HOST/IP address that is accessible within your wifi network. Specify “demo.thingsboard.io” if you are using live demo server.
Connect your LinkIt One device via USB cable and select Serial Debug COM port in Arduino IDE. Compile and Upload your sketch to the device using “Upload” button.
After application will be uploaded and started it will try to connect to ThingsBoard node using mqtt client and upload “latitude” and “longitude” attributes once per second.
When the application is running you can connect your device to Serial Debug COM port in Arduino IDE and open “Serial Monitor” in order to view debug information produced by serial output.
Finally, open ThingsBoard Web UI. You can access this dashboard by logging in as a tenant administrator. Use
- login: [email protected]
- password: tenant
in case of local ThingsBoard installation.
Go to “Devices” section and locate “LinkIt One Demo Device”, open device details and switch to “Attributes” tab. If all is configured correctly you should be able to see “latitude”, “longitude” and battery status attributes and their latest values in the table.
After, open “Dashboards” section then locate and open “LinkIt One GPS Tracking Demo Dashboard”. As a result, you will see the map widget with a pointer indicating your device location and a battery level widget (similar to dashboard image in the introduction).
Browse other samples or explore guides related to main ThingsBoard features:
- Device attributes - how to use device attributes.
- Telemetry data collection - how to collect telemetry data.
- Using RPC capabilities - how to send commands to/from devices.
- Rule Engine - how to use rule engine to analyze data from devices.
- Data Visualization - how to visualize collected data.
Getting started guides - These guides provide quick overview of main ThingsBoard features. Designed to be completed in 15-30 minutes.
Installation guides - Learn how to setup ThingsBoard on various available operating systems.
Connect your device - Learn how to connect devices based on your connectivity technology or solution.
Data visualization - These guides contain instructions how to configure complex ThingsBoard dashboards.
Data processing & actions - Learn how to use ThingsBoard Rule Engine.
IoT Data analytics - Learn how to use rule engine to perform basic analytics tasks.
Advanced features - Learn about advanced ThingsBoard features.
Contribution and Development - Learn about contribution and development in ThingsBoard.