Sanjay Rajan. J., S. M, Madesh. G., S. S, C. Manikandan
{"title":"Online Weather Station","authors":"Sanjay Rajan. J., S. M, Madesh. G., S. S, C. Manikandan","doi":"10.54216/jchci.050203","DOIUrl":null,"url":null,"abstract":"The creation of an online weather station utilising the ESP32 microcontroller and BME280 is described in this abstract. The project's goal is to give people access to current weather information and forecasts via a web interface. The system makes use of sensors to assess temperature, humidity, pressure, and other environmental factors. These measurements are then transferred through Wi-Fi to a cloud-based server. Weather forecasts are created using the analysed and processed data and then shown on an easy-to-use dashboard that can be accessed via a web browser. Users can also sign up to receive email or SMS alerts and notifications if the weather changes. The project provides a scalable and inexpensive method to detect and monitor weather conditions in numerous areas, making it appropriate for application in the aviation, agricultural, and other sectors.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cognitive Human-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54216/jchci.050203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The creation of an online weather station utilising the ESP32 microcontroller and BME280 is described in this abstract. The project's goal is to give people access to current weather information and forecasts via a web interface. The system makes use of sensors to assess temperature, humidity, pressure, and other environmental factors. These measurements are then transferred through Wi-Fi to a cloud-based server. Weather forecasts are created using the analysed and processed data and then shown on an easy-to-use dashboard that can be accessed via a web browser. Users can also sign up to receive email or SMS alerts and notifications if the weather changes. The project provides a scalable and inexpensive method to detect and monitor weather conditions in numerous areas, making it appropriate for application in the aviation, agricultural, and other sectors.