Author:
Mamat Nor Hana,Shazali Hafiz Asyraf,Othman Wan Zulkarnain
Abstract
Abstract
Weather data monitoring is important due to the drastic changes of weather around the world in recent years. Weather-related parameters are commonly measured using weather stations. Low-cost Arduino based weather station is suitable for public use to monitor local weather conditions in the vicinity of their residential area. This will enable quick response in natural disaster caused by the weather. In this work, the integration of water level and waterflow rate detection to the weather station allows hydrological data measurement in addition to the meteorological data. This capability makes the weather station suitable for further expansion into a wireless sensor network for flood monitoring and prediction. This weather station was developed using NodeMCU ESP32 microcontroller, ultrasonic sensor, BMP280 sensor, rain sensor and waterflow sensor. The remote data monitoring capability was realized using Blynk IoT platform. A prototype of this weather station was developed and tested in a simulated environment. Results show that this weather station is able to provide good measurement of meteorological and hydrological data.
Subject
General Physics and Astronomy
Cited by
2 articles.
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1. An Intelligent Humidity and Temperature Monitoring System using Long Short-Term Memory Neural Network and Raspberry Pi;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19
2. Weather Station Monitoring System with Node-RED;2023 IEEE 12th Global Conference on Consumer Electronics (GCCE);2023-10-10