IoT Weather Station

This project involves building a weather station using an Arduino MCU connected to an ESP8266 module for Wi-Fi capabilities. The weather station gathers environmental data such as temperature, humidity, and atmospheric pressure from various sensors. The collected data is published as MQTT topics and stored in InfluxDB, a time-series database. Finally, the measurements are visualized using Grafana dashboards. The entire stack is containerized using Docker Compose for a streamlined deployment process.

Features

• Real-time Data Collection: Collects data from multiple sensors (e.g. temperature, humidity, pressure).
• Wireless Connectivity: Utilizes an ESP8266 module to enable Wi-Fi connectivity.
• MQTT Protocol: Sends data as topics to an MQTT broker for reliable communication.
• Time-Series Data Storage: Uses InfluxDB to store the sensor readings with timestamped precision.
• Data Visualization: Visualizes data using Grafana dashboards.
• Dockerized Services: All services (MQTT broker, Telegraf, InfluxDB, and Grafana) are containerized with Docker and managed using Docker Compose for easy deployment.

Hardware Requirements

• Arduino MCU (e.g., Arduino Uno, Nano)
• ESP8266 Wi-Fi module
• Environmental sensors (e.g. DHT22 for temperature and humidity, BMP280 for pressure, MQ-7 for gas)
• Jumper wires and breadboard
• Power supply or battery pack

Software Requirements

• Arduino IDE (for programming the MCU)
• Docker and Docker Compose (for deploying services)
• MQTT library for Arduino (e.g., PubSubClient)

Architecture

1. Arduino MCU collects data from sensors and sends it to ESP8266.
2. ESP8266 acts as the Wi-Fi interface, publishing data to an MQTT broker.
3. MQTT Broker receives data and forwards it to Subscribers.
4. Telegraf subscribes to MQTT Topics, proccesses, transforms and forwards data to InfluxDB.
5. InfluxDB stores the time-series data.
6. Grafana connects to InfluxDB and visualizes the data.

Setup Instructions

1. Clone the repository:

   git clone https://github.com/Vasilis-Thomas/IoT-Weather-Station.git
   cd IoT-Weather-Station

2. MCUs Software Configuration:

   • Open esp8266Sketch.ino in the Arduino IDE available in the ./Arduino/sketches/esp8266Sketch directory.
   • Install the necessary libraries (e.g. PubSubClient, sensor libraries).
   • Modify the Wi-Fi credentials and MQTT broker address in the code.
   • Flash the ESP8266 with the firmware code.
   • Flash the Arduino with the firmware code available in the ./Arduino/sketches/arduinoSketch directory.

3. MCUs Hardware Configuration:

   • Connect the sensors to the Arduino board as in the below schematic.
   • Wire the ESP8266 module to the Arduino using the appropriate pins.
   • Power the Arduino.

4. Start the Docker services:

   • Adjust the environment variables defined in ./Docker/.env that are used to setup and deploy the stack.

   cd Docker
   docker-compose up -d

5. InfluxDB Configuration:

   • Access InfluxDB at http://localhost:8086.

6. Grafana Configuration:

   • Access Grafana at http://localhost:3000 (default credentials: admin/admin).

MQTT Topics

The following topics are used for MQTT communication:

• arduino/humidity/dht22
• arduino/temprerature/dht22
• arduino/temprerature/bmp280
• arduino/pressure/bmp280
• arduino/altitude/bmp280
• arduino/carbon_monoxide/mq7
• arduino/light_intensity/ld

Each topic corresponds to a specific sensor measurement.

Usage

• Once all the services are up and running, your IoT Weather Station should begin sending data to the MQTT broker.
• Use the Grafana dashboard to monitor real-time data and visualize historical trends.

Screenshots

Acknowledgements

• Mosquitto MQTT
• InfluxDB
• Grafana
• Docker

Authors

👤 Θωμάς Βασίλειος

• GitHub: @Vasilis-Thomas

👤 Σαρακενίδης Νικόλαος

• GitHub: @Nikoreve