Sistem Monitoring Kecepatan Dan Arah Mata Angin Berbasis Internet Of Things (Iot)
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Institusion
Politeknik Negeri Bengkalis
Author
Sari, Uci Novita
Subject
458 Teknik Informatika
Datestamp
2024-09-01 08:00:53
Abstract :
Wind speed and direction monitoring system for early disaster detection tornado. This system is designed using NodeMCU as a microcontroller, a windvane sensor to measure wind direction, and an anemometer sensor to measure wind speed. anemometer to measure wind speed. By utilizing technology, the data from the sensors is sent to the server and can be accessed through a smartphone. smartphone. The use of a smartphone as a monitoring tool provides easy access to information for the community, enabling early warning of potential tornadoes. tornado disaster. This is expected to minimize the loss of and casualties by providing sufficient time for the community to take the necessary precautions. The results of the implementation of the wind speed and direction monitoring system show that the system successfully functions as expected. Wind speed and direction data obtained from anemometer and windvane sensors can be sent in real-time to the server using NodeMCU and the internet network. The information can then be accessed through a smartphone application, allowing users to monitor wind conditions directly.
Wind speed and direction monitoring system for early disaster detection tornado. This system is designed using NodeMCU as a microcontroller, a windvane sensor to measure wind direction, and an anemometer sensor to measure wind speed. anemometer to measure wind speed. By utilizing technology, the data from the sensors is sent to the server and can be accessed through a smartphone. smartphone. The use of a smartphone as a monitoring tool provides easy access to information for the community, enabling early warning of potential tornadoes. tornado disaster. This is expected to minimize the loss of and casualties by providing sufficient time for the community to take the necessary precautions. The results of the implementation of the wind speed and direction monitoring system show that the system successfully functions as expected. Wind speed and direction data obtained from anemometer and windvane sensors can be sent in real-time to the server using NodeMCU and the internet network. The information can then be accessed through a smartphone application, allowing users to monitor wind conditions directly.
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