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

Jasni, Ammar Azizi and Ahmad, Yasser Asrul and Gunawan, Teddy Surya and Yaacob, Mashkuri and Ismail, Nanang and Wasik, Abdul (2022) Tributary water depth and velocity remote monitoring system using Arduino and LoRa. In: 2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED), 28th - 29th July 2022, Sukabumi, West Java, Indonesia (Virtual Conference).

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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.

Item Type: Proceeding Paper (Keynote)
Uncontrolled Keywords: water depth sensor, water velocity sensor, Arduino Uno, LoRa.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr. Teddy Surya Gunawan
Date Deposited: 10 Jan 2023 15:58
Last Modified: 02 Feb 2024 15:24
URI: http://irep.iium.edu.my/id/eprint/102464

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