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Title Iot-Based Automatic Weather Station
ID_Doc 33953
Authors Gaikwad V.; Kamtalwar N.; Karadbhajne H.; Karmarkar M.; Kendre H.; Ketkar O.
Year 2023
Published IDCIoT 2023 - International Conference on Intelligent Data Communication Technologies and Internet of Things, Proceedings
DOI http://dx.doi.org/10.1109/IDCIoT56793.2023.10053407
Abstract Weather Monitoring is one of the important aspects with respect to weather prediction as well as for many other tasks like traffic management etc. Monitoring weather with the help of weather stations situated at different places can help us in keeping the weather data of that particular location up-to-date which in return can help us in future predictions and the current situation of the atmosphere around that location. Currently, there are many weather stations deployed in the required location but most of them are manual or have a very high cost for installation moreover there are not many weather sensing devices that are pocket-friendly and easy to carry, which can sense data without a live connection solely on basis of a VCC. There are many devices that will sense weather data, store them and send alerts based on analyzed data, but not many devices will sense data solely and provide them to the user. Such devices can be used while traveling in remote areas or to measure the weather parameters of remote/developed areas and display them publicly. Recently, there are no such pocket-friendly devices for the same. This paper aims to measure and analyze real-time weather data. The proposed system attempts to devise an IoT technology that shall detect humidity, temperature, barometric pressure, and rainfall around the location wherein the weather station is fixed. All this data is detected by different sensors that are been mounted on the weather station and after the detection, the data is uploaded on a web page. When the program gets uploaded one can fetch the IP address of Node MCU on the serial monitor of Arduino IDE. The IP address can be pasted on any authorized web browser and present the fetched weather parameters onto the neat GUI. The proposed system was successfully executed and all the parameters were fetched accurately with an accuracy of 95%. The system is pocket-friendly and very easy to use and set up. The system achieves all the objectives successfully and was tested successfully. © 2023 IEEE.
Author Keywords and Rain Sensor FC-37; BMP 180: Barometric Pressure Sensor; DHT11: Digital temperature and humidity sensor; Internet of Things; Node microcontroller unit (MCU) Esp8266; Smart City


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