{"title":"利用。net技术在微处理器平台上实现气象站软件","authors":"Bohdan Marii, Tetyana Pavych, Y. Paramud","doi":"10.23939/acps2023.01.057","DOIUrl":null,"url":null,"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","PeriodicalId":188480,"journal":{"name":"Advances in Cyber-Physical Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of The Weather Station Software on A Microprocessor Platform Using .NET Technology\",\"authors\":\"Bohdan Marii, Tetyana Pavych, Y. Paramud\",\"doi\":\"10.23939/acps2023.01.057\",\"DOIUrl\":null,\"url\":null,\"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\",\"PeriodicalId\":188480,\"journal\":{\"name\":\"Advances in Cyber-Physical Systems\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Cyber-Physical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23939/acps2023.01.057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Cyber-Physical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23939/acps2023.01.057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of The Weather Station Software on A Microprocessor Platform Using .NET Technology
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