Project Description:

The Weather Station Hub is an IoT-based real-time weather monitoring system that collects environmental data such as temperature, humidity, atmospheric pressure, wind speed, and rainfall using sensors. It displays this data on a web-based dashboard and optionally shares it with weather services or local communities.

This project is useful for agriculture, environmental research, educational institutions, smart cities, and personal weather forecasting.

Technologies Used:

• Backend: Node.js / PHP / Java

• Frontend: HTML, CSS, Bootstrap, JavaScript (with Chart.js for graphs)

• IoT Devices: ESP32 / Arduino / Raspberry Pi

• Sensors: DHT11/DHT22 (temp & humidity), BMP180 (pressure), rain gauge, anemometer (wind), UV sensor (optional)

• Communication: Wi-Fi / MQTT / HTTP

• Database: MySQL / Firebase / MongoDB

• Optional: Cloud dashboard via ThingsBoard / Blynk

Key Features:

1. Multi-Parameter Weather Monitoring:

   • Temperature

   • Humidity

   • Atmospheric Pressure

   • Wind Speed and Direction

   • Rainfall Detection

   • UV Index (optional)

2. Live Data Display:

   • Data updates in real time on the web dashboard.

   • Use of live charts and gauges for visual representation.

3. Data Logging:

   • All readings are stored in the database with timestamps.

   • Historical data analysis (daily, weekly, monthly trends).

4. Weather Alerts:

   • Set thresholds for high/low temperatures, heavy rainfall, storm warnings, etc.

   • Notifications via email/SMS.

5. Public or Private Dashboard:

   • Data can be shared with a community or kept private.

   • Embed dashboard widgets on websites or apps.

6. Offline Mode & Sync:

   • Local SD card storage when internet fails; syncs data when reconnected (optional).

7. Forecast Integration:

   • Fetch weather forecasts using public APIs (like OpenWeatherMap) and compare with actual sensor data.

System Workflow:

1. Sensors gather real-time weather data.

2. Microcontroller (ESP32/Raspberry Pi) processes the data.

3. Data is sent to backend/cloud via Wi-Fi.

4. Backend stores and visualizes data; triggers alerts if needed.

5. Users access the dashboard from any device.