Prof. S.P. Arbale, 2Areen Gaikwad, 3Aditya Shitole, 4Abhishek Dhandar, 5Sudarshan Tupshendre

DOI: https://doi.org/10.5281/zenodo.21853354

The rapid advancement of Internet of Things (IoT) technology has enabled intelligent monitoring and protection of electrical systems through real-time data acquisition and remote accessibility. This project presents an Induction Motor Protection Using Microcontroller and its Fault Analysis By Simulation Model using theESP32 microcontroller. The proposed system continuously monitors essential electrical parameters such as voltage, current, power, energy consumption, frequency, and power factor using the PZEM-004T power monitoring module, while simultaneously measuring equipment temperature using the DS18B20 digital temperature sensor. The ESP32 processes the acquired sensor data in real time and compares the measured values with predefined safety thresholds. Whenever abnormal electrical or thermal conditions are detected, the controller automatically activates a relay module to disconnect the electrical load, thereby protecting electrical equipment from damage caused by overload, overheating, or voltage fluctuations. The measured parameters are displayed locally on a 16×2 LCD display and remotely through an embedded web dashboard hosted by the ESP32 using its built-in Wi-Fi capability. The proposed system offers a low-cost, reliable, and efficient solution for continuous monitoring, automatic fault protection, and remote supervision of electrical systems. It is suitable for residential, commercial, laboratory, and small-scale industrial applications where equipment safety, energy management, and operational reliability are essential. The modular architecture of the system also allows future enhancements such as cloud integration, data logging, mobile application support, and predictive maintenance features.

ESP32, PZEM-004T, DS18B20, Power Monitoring, Temperature Monitoring, Relay Protection, Embedded Web Dashboard, Electrical Safety, Smart-Monitoring System.

We will make sure the system is cheap and effective. We believe that everyone should be able to use this system. It should be cheap and effective. We want to help everyone with this system. This project is about building a system that can monitor power and temperature and protect the equipment using the ESP32 microcontroller. The ESP32 microcontroller is what we use to build the system. We use the ESP32 microcontroller to make the system work. The system always checks the electricity like voltage and current and power using the PZEM-004T module. The PZEM-004T module is very important for this purpose. We use the PZEM-004T module to measure electricity. The PZEM-004T module helps us get the data we need. It also checks the temperature of the equipment using the DS18B20 sensor. The DS18B20 sensor is very useful for this purpose. We use the DS18B20 sensor to measure temperature. The DS18B20 sensor helps us get the temperature data. The ESP32 microcontroller looks at the data from the sensors. It decides what to do based on the data. The ESP32 microcontroller is the brain of the system. It controls everything. It checks the values against some limits to see if something is wrong. If the values are too high the microcontroller turns on a relay to turn off the power. This keeps the equipment safe from getting hurt by electricity or heat. The ESP32 microcontroller protects the equipment. The system lets us monitor what is going on from afar. We can use a screen to see what is going on. We can also use a web page on the ESP32 microcontroller to monitor from afar. The ESP32 microcontroller helps us monitor the system. This lets us see what is going on and get warnings if something is wrong. We can even turn the relay on and manually if we need to. The system is very useful. The system is more reliable and safer because we can monitor and protect it automatically. It also means the equipment does not break down much. The system is very good. The solution we made is cheap. It uses energy. It is good for businesses and factories. We can make the system better by adding things. We will add features to the system. For example, we can use cloud storage and machine learning to predict when something might go wrong. This will make the system even better. We will use cloud storage and machine learning to improve the system. We will add features to the system.

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Available: https://www.espressif.com.
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Prof. S.P. Arbale, 2Areen Gaikwad, 3Aditya Shitole, 4Abhishek Dhandar, 5Sudarshan Tupshendre (2026). Induction Motor Protection Using Microcontroller and its Fault Analysis by Simulation Model. International Journal of Engineering and Techniques, 12(4), 147–151. ISSN: 2395-1303. DOI: https://doi.org/10.5281/zenodo.21853354