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IoT-Based Three-Phase Induction Motor Monitoring System

Ridho Syawali, Selamat Meliala


This paper describes how to use the Internet of Things to control and monitor induction motors. Because it can be utilized from anywhere via Wi-Fi, IoT is more convenient and efficient to control the system. The purpose of this monitoring system is to prevent induction motor failure by implementing preventive measures. Induction motors are used in a variety of applications such as in industry due to their many advantages such as self-starting, high power factor, and rugged design. As a result, using the best available smart protection techniques, it is imperative to detect flaws in the motor at an early stage to improve the efficiency of the motor and ensure safe and reliable operation. The voltage, current and temperature of the induction motor can be monitored remotely with the Blynk IoT application. The monitoring results will determine the error in the motor operating parameters that caused severe damage to the motor. Three PZEM-004T sensors to obtain parameters of each R, S, and T phase of the motor in real-time and relays to control the motor are used in this system to monitor and regulate using IoT. Information from the sensor is received by the microcontroller unit, which processes the sensing data. If an abnormal value is detected, the system automatically generates a control signal to start or stop the motor.


Induction Motor; IoT; Monitoring; Controlling; PZEM-004T;

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Artiyasa, M., Kusumah, I. H., Suryana, A., Sidik, A. D. W. M., Junfithrana, A. P., & others. (2020). Comparative Study of Internet of Things (IoT) Platform for Smart Home Lighting Control Using NodeMCU with Thingspeak and Blynk Web Applications. FIDELITY: Jurnal Teknik Elektro, 2(1), 1–6.

Ashmitha, M., Dhanusha, D. J., Vijitlin, M. S., & George, G. B. (2021). Real Time Monitoring IoT Based Methodology for Fault Detection in Induction Motor. 5(June), 72–83.

Bašić, P. (2019). Fiber-optic sensor cable for simulateneous distributed measurement of multiple physical quantities. University of Zagreb. Faculty of Electrical Engineering and Computing~…. (n.d.). Blynk IoT.pdf.

Borghetti, M., Cantù, E., Sardini, E., & Serpelloni, M. (2020). Future sensors for smart objects by printing technologies in industry 4.0 scenario. Energies, 13(22), 5916.

Hasibuan, A., & others. (2011). Early detection of rotor-bar faults of three-phase induction motor using motor current signature analysis method. Proceedings of The Annual International Conference, Syiah Kuala University-Life Sciences & Engineering Chapter, 1(2).

Heru Susanto, A. N. (2018). Desain Dan Implementasi Sistem Monitoring Tegangan Dan Arus Motor Induksi Tiga Phase Menggunakan Konsep Internet of Things (Iot). 11(1), 54–63.

Karuppusamy, P. (2020). A sensor based IoT monitoring system for electrical devices using Blynk framework. Journal of Electronics and Informatics, 2(3), 182–187.

Le Galès, P. (2011). Policy instruments and governance. The SAGE Handbook of Governance, 142–159.

Mamatha, G., & Thejaswi, A. H. (2021). Induction Motor Condition Monitoring and Controlling Based on IoT. 4(9), 220–225.

Maulana, E. (2014). Sensor dan Tranduser (Bahan Ajar). Bahan Ajar Elektronika Kontrol - Sensor Dan Transduser.

Nasution, E. S., & Hasibuan, A. (2018). Pengaturan Kecepatan Motor Induksi 3 Phasa Dengan Merubah Frekuensi Menggunakan Inverter Altivar 12P. Jurnal Sistem Informasi, 2(1).

Nasution, E. S., Zambak, M. F., Suhendra, S., & Hasibuan, A. (2020). Simulasi Pengoperasian Motor Pompa Air Berbasis Programmable Logic Control. Inventory| Industrial Vocational E-Journal On Agroindustry, 1(2), 78–82.

Natalis Hengky Richardo, Junaidi, A. H. (2017). Rancang Bangun Sistem Proteksi Motor Induksi Tiga Fasa Berbasis Mikrokontroler Atmega 16. 2–5.

Ouldzira, H., Mouhsen, A., Lagraini, H., Chhiba, M., Tabyaoui, A., & Amrane, S. (2019). Remote monitoring of an object using a wireless sensor network based on Nodemcu ESP8266. Indonesian Journal of Electrical Engineering and Computer Science, 16(3), 1154–1162.

Parashar, R., Khan, A., & Neha, A. K. (2016). A survey: The internet of things. International Journal of Technical Research and Applications, 4(3), 251–257.

Pyrgas, L., Kalantzopoulos, A., & Zigouris, E. (2016). Design and implementation of an open image processing system based on nios ii and altera de2-70 board. Journal of Engineering Science and Technology Review, 9(5), 51–55.

Ragavi, P., Keerthana, G., Arthi, T., Dharaneesh Kumar, D., & Gogula Varsini, S. (2022). Domestic Water Supply Monitoring andTheft Identification System.

Sung, G. M., Shen, Y. S., Keno, L. T., & Yu, C. P. (2019). Internet-of-Things Based Controller of a Three-Phase Induction Motor Using a Variable-Frequency Driver. 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019, 156–159.

Syafrudin, S., & Hasibuan, A. (n.d.). Early Detection of Rotor-bar Faults of Three-phase Induction Motor Using Motor Current Signature Analysis Method. 1st Syiah Kuala University Annual International Conference 2011.


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