Implementation of The Weather Station Software on A Microprocessor Platform Using .NET Technology

Bohdan Marii, Tetyana Pavych, Y. Paramud
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Abstract

The article presents an implementation of the weather station software on a microprocessor platform using .NET technology. The system consists of a hardware module that collects weather data, a microprocessor platform that processes data, and a software application that visualizes and stores data. The software system is designed using the .NET platform, which provides an environment for software de- velopment. The system uses a web interface that allows users to access the weather from anywhere with a web browser. The test results of the system demonstrate collecting, pro- cessing, and presenting the weather in real time. By compar- ing readings from AccuWeather with data collected by Ar- duino sensors, we ensure the accuracy of measurements. AccuWeather Europe is a source of weather data that can be used to validate weather information collected by Arduino sensors. In the developed systems, neural networks for weather forecasting are also used. The neural networks learn patterns and relationships in historical weather data to pre- dict future weather conditions
利用。net技术在微处理器平台上实现气象站软件
本文介绍了利用。net技术在微处理器平台上实现气象站软件。该系统由收集天气数据的硬件模块、处理数据的微处理器平台和可视化和存储数据的软件应用程序组成。软件系统采用。net平台进行设计,为软件开发提供了一个环境。该系统使用网络界面,允许用户通过网络浏览器从任何地方访问天气。测试结果表明,该系统能够实时采集、处理和呈现天气信息。通过将AccuWeather的读数与Ar- duino传感器收集的数据进行比较,我们确保了测量的准确性。AccuWeather Europe是一个天气数据来源,可用于验证Arduino传感器收集的天气信息。在已开发的系统中,还使用神经网络进行天气预报。神经网络学习历史天气数据中的模式和关系,以预测未来的天气状况
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