Weather Station

Weather forecast dashboard with Chart.js charts, hourly predictions, and dark-themed responsive UI

Website interface for the weather station project developed in PHP

Windows 10 Rainmeter widget displaying weather station data

A full-stack IoT weather monitoring system that measures temperature and humidity both indoors and outdoors. The system spans the entire stack — from ESP8266 firmware reading hardware sensors, through a Raspberry Pi server with PHP/MySQL backend, to multiple client frontends including a web dashboard, Android app, and Windows desktop widget. The system also includes a weather forecast module that predicts temperature and humidity using weighted historical averages blended with recent trend extrapolation.

Architecture

ESP8266 firmware — reads DHT11 (indoor) and DHT22 (outdoor) sensors every 300 seconds, sends data via HTTP POST over WiFi
Raspberry Pi server — hosts PHP/MySQL backend, receives and stores sensor data with API key authentication
Web dashboard — PHP-generated pages with CanvasJS chart visualization of historical data
Forecast dashboard — dark-themed responsive UI with Chart.js, showing multi-day temperature and humidity predictions based on historical data analysis
Android app — WebView-based client displaying real-time and historical data
Windows widget — Rainmeter desktop skin for at-a-glance monitoring

Features

Dual sensor monitoring — indoor (DHT11) and outdoor (DHT22) temperature and humidity
Automatic data collection every 5 minutes with WiFi retry logic (15 attempts)
RESTful API with API key authentication for secure data ingestion
Historical chart visualization using CanvasJS on the web dashboard
JSON data export for real-time readings
Weather forecast — up to 7-day predictions using 70% weighted historical average (same date ±3 days across years) + 30% recent 3-day trend extrapolation
Multi-platform clients — web browser, Android, and Windows desktop
Grid-powered with sensors connected via twisted pair cable (~2m)

Hardware Components

Raspberry Pi 4 (4 GiB RAM) — server hosting PHP/MySQL
ESP8266 — WiFi microcontroller reading sensors and transmitting data
DHT11 — indoor temperature and humidity sensor
DHT22 — outdoor temperature and humidity sensor (higher precision)

Technical Details

Firmware: C/C++ (Arduino framework for ESP8266), serial monitoring at 115200 baud
Backend: PHP 7.x with MySQL database, RESTful endpoints
Frontend: PHP-rendered HTML with CanvasJS charts, responsive design
Android: Java WebView-based client loading server-rendered pages
Forecast: PHP JSON API with statistical prediction engine, Chart.js frontend with hourly detail tables and trend visualization
Widget: Rainmeter skin for Windows 10 desktop integration
Database schema: Per-station tables with columns for indoor/outdoor temperature and humidity

Check out the project on GitHub: Weather Station on GitHub

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