This thesis presents the development of a wireless sensing platform for real-time monitoring of water flow using two HC-SR04 ultrasonic sensors and a Nucleo-WL55JC1 microcontroller. The system extracts flow information through time-of-flight measurements, processes the data on-board, and transmits the results via LoRaWAN to The Things Network. Experimental tests demonstrate the platform’s ability to distinguish different flow conditions and provide a reliable, low-cost solution for remote monitoring applications.

This thesis presents the development of a wireless sensing platform for real-time monitoring of water flow using two HC-SR04 ultrasonic sensors and a Nucleo-WL55JC1 microcontroller. The system extracts flow information through time-of-flight measurements, processes the data on-board, and transmits the results via LoRaWAN to The Things Network. Experimental tests demonstrate the platform’s ability to distinguish different flow conditions and provide a reliable, low-cost solution for remote monitoring applications.

Development of a wireless sensing platform for the remote monitoring of water flow

GHOBAKHLOU, MEHRNAZ
2024/2025

Abstract

This thesis presents the development of a wireless sensing platform for real-time monitoring of water flow using two HC-SR04 ultrasonic sensors and a Nucleo-WL55JC1 microcontroller. The system extracts flow information through time-of-flight measurements, processes the data on-board, and transmits the results via LoRaWAN to The Things Network. Experimental tests demonstrate the platform’s ability to distinguish different flow conditions and provide a reliable, low-cost solution for remote monitoring applications.
2024
Development of a wireless sensing platform for the remote monitoring of water flow
This thesis presents the development of a wireless sensing platform for real-time monitoring of water flow using two HC-SR04 ultrasonic sensors and a Nucleo-WL55JC1 microcontroller. The system extracts flow information through time-of-flight measurements, processes the data on-board, and transmits the results via LoRaWAN to The Things Network. Experimental tests demonstrate the platform’s ability to distinguish different flow conditions and provide a reliable, low-cost solution for remote monitoring applications.
water quality
IoT sensing platform
LoRaWAN telemetry
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/99274