Air pollution sensor IoT device.
Created by Bahareh Zaghari.
Uses the Sensiron Particulate Matter Sensor SPS30.
Sends data to The Things Network (TTN)
Received messages from IoT devices and sends them to registered listeners (application)
TTN Storage Integration
Collects upstream data (data from sensor) and stores for 7 days.
Serves the data via a simple REST API.
Server is fairly simple, written in Node.js and TypeScript.
Gets data from TTN provider:
Registers as a listener for the TTN account - receives all messages in real-time from sensors.
Can poll REST API to get all messages over last 7 days.
Adds the sensor messages data to the database.
General structure of message is:
{
timestamp: number (Unix epoch time in milliseconds)
lat: number
lng: number
value: number (air pollution value)
sensorID: string (unique ID of sensor)
}
Server has an API to:
Mobile App:
- Create users and associate them with their sensor
- Let users retrieve heatmap data of current air pollution
- Let users retrieve heatmap data of where data is needed - related to incentives
Web App:
- Let authenticated project supervisors have access to all data
The web app is written is plain Javascript (+ HTML & CSS) and compiled with Babel and Webpack.
Uses Google Maps to display data visualisations.
Connects to Firebase Firestore to access all air pollution and treatment data.
Still in progress. Half implemented in Ionic - reimplementing in React Native.
Will allow users to link their sensors.
Will display current air pollution / data need heatmap.
Might need to periodically send location to track sensor.
Firebase Firestore - ask me or create new database.
The Things Network - ask me or Bahareh for details.
These files can be seen in the .gitignore file or by trying to run the program.
Install npm or yarn globally. I highly recommend using yarn!
Install project dependencies after cloning with yarn or npm install
Project is not deployed yet, instructions will be updated. Most likely Heroku or Firebase.