Smart Weather Station

A comprehensive environmental monitoring system built on Raspberry Pi that collects, stores, and visualizes real-time weather and air quality data.

Overview

This project implements a complete IoT solution for environmental monitoring. The Smart Weather Station captures temperature, humidity, pressure, and air quality metrics, stores them in a database, and makes them accessible through a responsive web interface and API.

Features

• Real-time Environmental Monitoring

  • Temperature, humidity, and barometric pressure monitoring (GY-BME280)
  • Air quality measurement (MQ135 sensor for CO2, NH3, NOx)
  • Day/night cycle detection using Light Dependent Resistor (LDR)
  • Real-time clock (RTC) support for reliable timestamps

• Data Management

  • Local data storage using SQLite database
  • Time-stamped entries for historical data analysis

• Visualization & Remote Access

  • Interactive charts and graphs for data visualization
  • Responsive web interface built with MudBlazor
  • API for data access
  • Secure HTTPS access through Nginx and Let's Encrypt

• Alerts & Notifications

  • Automated alerts for poor air quality conditions
  • Configurable threshold alerts for temperature and humidity extremes

Technology Stack

Hardware Components

• Raspberry Pi (central controller)
• GY-BME280 sensor (temperature, humidity, pressure)
• MQ135 sensor (air quality)
• LDR (light detection)
• RTC module (optional, for offline time tracking)

Software & Technologies

• Backend

  • Python (sensor data collection)
  • C# (API and application logic)
  • SQLite (data storage)
  • Raspbian OS (operating system)

• Frontend

  • MudBlazor (UI component library)
  • HTML/CSS3 (web interface styling)

• Infrastructure

  • Nginx (reverse proxy)
  • Let's Encrypt (SSL certificates)