Project Overview
This project aimed to develop a web application for real-time collection, storage, and analysis of weather data from a meteorological station. By leveraging Flask for the backend and React for the frontend, the system provides users with intuitive visualizations, secure data storage, and advanced analytics. The following sections outline the key objectives, technical structure, implementation details, and future prospects for the application.
Section 1 – General Overview
I. Project Objectives
This web application connects to a weather station to collect real-time meteorological data, and it achieves the following:
a. Data Visualization
The collected data (temperature, humidity, wind speed) is stored in a database for later use. Visualizations help users make informed decisions for plant management based on specific weather conditions.
b. Data Archiving
The application stores collected data in a database. Users can download weather data in CSV format over a chosen period for local use or analysis.
c. Data Engineering and Analysis
The application performs data engineering tasks, extracting useful insights from the collected data. Users can analyze the data for better meteorological understanding.
Additional Features
- User Authentication: Secure access to data via authentication.
- User-Friendly Interface: Designed for easy navigation and use.
II. Technical Overview
a. Connection to the Weather Station
The app connects to the weather station using standard communication protocols to reliably collect real-time data.
b. Backend Development with Flask
Flask is used for backend development, offering flexibility and ease for web development. Security features include data protection and authentication control.
c. Data Storage in MySQL
Collected data is stored in a relational MySQL database for fast searching and analysis.
d. User Interface with React
React is used to create a responsive, user-friendly interface. Tailwind CSS ensures the interface is customizable and modern.
e. App Design with Figma
Figma was used to design the app’s identity and UI, ensuring a professional, consistent user experience.
Section 2 – Implementation
Backend Implementation
- API Connection: Reliable connection with the weather station API for data collection.
- Data Storage: Storing over 966 days and 23,076 hours of weather data.
- Data Processing and Visualization: Cleaning and enriching data for graphical visualization, allowing users to view real-time weather trends.
User Interface Implementation
- Interactive Pages: Users can view and analyze weather data through interactive visualizations (line, bar, radar charts).
- Data Engineering Tasks: Users can perform data correlation, attribute extraction, and data transformation to simplify analysis.
- Data Download: Data can be downloaded in CSV format for further analysis or long-term storage.
Section 3 – Final Thoughts
The project successfully implemented a web-based weather station system that collects, stores, and visualizes meteorological data. The application is efficient, reliable, and user-friendly, with potential future improvements like mobile integration and system expansion.