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2023•Unpublished venueRequires access

Implementation of an IOT Live Weather Monitoring System

Jyoti Pandey, Ayushmaan Raghav, Shailendra Bisariya

Open publisher page 3 citations

Abstract

Weather stations are crucial in measuring atmospheric data to predict weather conditions, as weather can be unpredictable every day. Knowing the weather conditions in our surroundings enables us to make necessary preparations for our physical and mental health. Therefore, constant weather updates are necessary. This study constructs and evaluates a weather station that uses NodeMCU Board and Blynk IoT technology to measure meteorological variables such as temperature, pressure, humidity, and rainfall. The use of sensors and ESP8266 allows for the quick and easy observation of weather updates and data. The outcome provides a practical and efficient method for utilizing technology in a smart weather station system.

About this research paper

What this paper is about

Weather stations are crucial in measuring atmospheric data to predict weather conditions, as weather can be unpredictable every day. Knowing the weather conditions in our surroundings enables us to make necessary preparations for our physical and mental health. Therefore, constant weather updates are necessary. This study constructs and evaluates a weather station that uses NodeMCU Board and Blynk IoT technology to measure meteorological variables such as temperature, pressure, humidity, and rainfall. The use of sensors and ESP8266 allows for the quick and easy observation of weather updates and data. The outcome provides a practical and efficient method for utilizing technology in a smart weather station system.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Weather stations are crucial in measuring atmospheric data to predict weather conditions, as weather can be unpredictable every day. Knowing the weather conditions in our surroundings enables us to make necessary preparations for our physical and mental health. Therefore, constant weather updates are necessary. This study constructs and evaluates a weather station that uses NodeMCU Board and Blynk IoT technology to measure meteorological variables such as temperature, pressure, humidity, and rainfall. The use of sensors and ESP8266 allows for the quick and easy observation of weather updates and data. The outcome provides a practical and efficient method for utilizing technology in a smart weather station system.

Key concepts: Weather station, Weather forecasting, Computer science, Automatic weather station, Surface weather observation, Internet of Things, Weather prediction, Meteorology

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