{"title":"Weather Station Using Raspberry Pi","authors":"V. Mathur, Yashika Saini, Vipul Giri, Vikas Choudhary, Uday Bharadwaj, Vishal Kumar","doi":"10.1109/ICIIP53038.2021.9702687","DOIUrl":null,"url":null,"abstract":"Weather is the everyday climate that is hard to predict and impacts human activities and is important in many different sectors. However, it is expensive and huge, bringing pain to current meteorological stations on the market. The aim is to develop a weather station that provides real-time warnings for climate monitoring, interfaces with a cloud platform and analyses weather. This project has been completed with a Weather Station to record weather conditions by means of SparkFun Weather Shield, Arduino Uno R3 and Weather Meter. Data from the sensors are then recorded using Raspberry Pi 3 Model B in Google Cloud SQL, where they are gateway and the analysis of meteorological data is done. The website and mobile application are designed to illustrate real-time weather conditions for managing and users using Google Data Studio and Android Studio. In this Article various environmental components may be monitored in real time utilising IoT at minimum costs. For this reason, we use the ARM-based Raspberry Pi board. The Raspberry Pi OS is selected for the Linux kernel. Python, as the Idle is understood, is a programming language. A wide range of digital and analogue sensors, such DHT11, BMP180, LDR and a distinctive scale, are used with ULN2803 for measuring the environment parameter. The Raspberry Pi server, which is saved to CSV and text files, reads these input sensor data. Customers may obtain this information from anywhere in the globe on stuffpeak.com in real time. To connect the server to the client, use the HTTP protocol.","PeriodicalId":431272,"journal":{"name":"2021 Sixth International Conference on Image Information Processing (ICIIP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Sixth International Conference on Image Information Processing (ICIIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIIP53038.2021.9702687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Weather is the everyday climate that is hard to predict and impacts human activities and is important in many different sectors. However, it is expensive and huge, bringing pain to current meteorological stations on the market. The aim is to develop a weather station that provides real-time warnings for climate monitoring, interfaces with a cloud platform and analyses weather. This project has been completed with a Weather Station to record weather conditions by means of SparkFun Weather Shield, Arduino Uno R3 and Weather Meter. Data from the sensors are then recorded using Raspberry Pi 3 Model B in Google Cloud SQL, where they are gateway and the analysis of meteorological data is done. The website and mobile application are designed to illustrate real-time weather conditions for managing and users using Google Data Studio and Android Studio. In this Article various environmental components may be monitored in real time utilising IoT at minimum costs. For this reason, we use the ARM-based Raspberry Pi board. The Raspberry Pi OS is selected for the Linux kernel. Python, as the Idle is understood, is a programming language. A wide range of digital and analogue sensors, such DHT11, BMP180, LDR and a distinctive scale, are used with ULN2803 for measuring the environment parameter. The Raspberry Pi server, which is saved to CSV and text files, reads these input sensor data. Customers may obtain this information from anywhere in the globe on stuffpeak.com in real time. To connect the server to the client, use the HTTP protocol.
天气是难以预测的日常气候,影响人类活动,在许多不同领域都很重要。然而,它既昂贵又庞大,给目前市场上的气象站带来了痛苦。目标是开发一个气象站,为气候监测提供实时预警,与云平台接口并分析天气。这个项目已经完成了一个气象站,通过SparkFun天气屏蔽,Arduino Uno R3和气象仪来记录天气状况。来自传感器的数据然后在谷歌云SQL中使用树莓派3模型B进行记录,在那里它们是网关和气象数据分析。该网站和移动应用程序旨在为使用谷歌数据工作室和安卓工作室的管理和用户展示实时天气状况。在本文中,可以利用物联网以最低成本实时监控各种环境组件。出于这个原因,我们使用基于arm的树莓派板。Linux内核选择树莓派操作系统。正如Idle所理解的那样,Python是一种编程语言。ULN2803采用多种数字和模拟传感器,如DHT11、BMP180、LDR和独特的刻度,用于测量环境参数。树莓派服务器(保存为CSV和文本文件)读取这些输入的传感器数据。客户可以在全球任何地方的stuffpeak.com上实时获取这些信息。为了将服务器连接到客户端,使用HTTP协议。