Tributary water depth and velocity remote monitoring system using Arduino and LoRa

• Main Authors: Jasni, Ammar Azizi, Ahmad, Yasser Asrul, Gunawan, Teddy Surya, Yaacob, Mashkuri, Ismail, Nanang, Wasik, Abdul
• Format: Proceeding Paper
• Language: English
• Published: IEEE 2022
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/102464/1/102464_Tributary%20water%20depth%20and%20velocity.pdf; http://irep.iium.edu.my/102464/; https://ieeexplore.ieee.org/document/10009916

Currently, monitoring tributary water depths and velocity is divided into two distinct setups, and the majority of data extraction is performed manually. This paper aims to develop a real-time remote monitoring system capable of measuring the depth and velocity of tributary water in real-time. The system measures and records the water flow speed using the YS-F201 Hall-effect water flow sensor and the water depth using the HC-SR04 ultrasonic sensor. The Arduino Uno R3 microcontroller is used to process raw data using a set of computational functions to generate final depth and velocity values. For remote monitoring and data communication, the LoRa SX1278 module is integrated with the microcontroller. At -102dBm, the LoRa modules detect a minimum RSSI. The ultrasonic sensor has a 97.72 % accuracy in measuring water depths up to 1.5 meters and a 98.19 % accuracy in measuring water velocity. The experimental results established the system's utility.