Class diagram for online weather forecasting

About this class diagram for online weather forecasting

This UML class diagram shows how an online weather forecasting system works. It shows the key parts and their connections. The weather station class gathers real-time data such as temperature, humidity, and wind speed. Then, it sends this information to the system for processing. The weather data class holds historical data. It also helps with trend analysis.

The forecast class manages weather data to make predictions. It covers wind speed, temperature, and humidity forecasts. It refreshes and shows forecasts based on current data sent by weather stations. The API class serves as the interface of the system to get weather data, forecasts, and alerts. It sends queries to external services to give correct and updated weather information.

The weather alert class handles extreme weather warnings. It creates, updates, and sends notifications about severe conditions. These warnings are sent to users to keep them updated on extreme weather occurrences.

The user class represents a person who interacts with the system. Users can register, log in, set weather preferences, and check forecasts. Users get weather update notifications. These are saved with timestamps to track alerts easily.

The admin class manages system operations. It oversees user management, handles weather data, and monitors alerts. This ensures the platform runs smoothly and accurately. This UML class diagram shows a clear weather forecasting system. It shows how data is collected and processed. It also visualizes the forecasting and sharing of weather data with users in real time.