IoT Data Collection Project 🌐📈

This project aims to develop a custom IoT solution to replace the Cayenne myDevice web application used in laboratory settings. The goal is to create a reliable and adaptable interface for monitoring data from a LoRaWAN node, with enhanced alert capabilities suitable for industrial deployment. The project involves setting up a network to collect, store, and visualize sensor data, and generate alerts based on predefined thresholds.

Key Features and Implementation 🚀

• Hardware: MKR1310 board equipped with sensors for:

  • Temperature
  • Humidity
  • Motion

• Data Flow:

  • Sensor data is transmitted to The Things Stack.
  • Telegraf retrieves the data and forwards it to InfluxDB for storage.

• Visualization:

  • Grafana is used to create customizable dashboards for data visualization.

• Alert Mechanisms:

  • Email notifications 📧
  • Discord messages (Discord bot API) 💬
  • SMS alerts (Twilio API integration) 📱

How to set it up and configure it 🚀

We focused on automating the setup process to ensure minimal configuration is required. To get started, simply run:

docker compose up

Access Grafana using the following address: http://localhost:3000. For login, use the dummy credentials provided:

• Login: grafadmin
• Password: grafpw

Environment Configuration ⚙️

Ensure you have a .env file available with the following information:

MQTT_PASSWORD=

# Note: We used Mailjet, so this section may vary based on your provider
SMTP_HOST=
SMTP_PORT=
SMTP_USER=
SMTP_USER_ID=
SMTP_USER_PW=

DISCORD_TOKEN=
DISCORD_CHANNEL_ID=

TTN_TENANT=
TTN_APPLICATION_ID=
TTN_DEVICE_ID=

TWILIO_SID=
TWILIO_TOKEN=
# NB : Numbers in international format with (+) sign and country code (eg : +18004444444)
TWILIO_ORIGIN_NUMBER=
TWILIO_DESTINATION_NUMBER=