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N. Amutha Priya,
R. Rejish Pandian,
S. Siva Bharath,
M. Utchimali,
M. Vijay,
- Associate Professor, Department of Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Tamil Nadu, India
- Student, Department of Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Tamil Nadu, India
- Student, Department of Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Tamil Nadu, India
- Student, Department of Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Tamil Nadu, India
- Student, Department of Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Tamil Nadu, India
Abstract
Electrical poles play a significant role in the generation and distribution of electric power; however, these poles are vulnerable to numerous electrical and environmental hazards, including leakage current, overheating, smoke, heavy rain, or tilting. If these issues are not addressed immediately, they can lead to electrical hazards, load shedding, property damage, and even loss of human life. To resolve such concerns, this project introduces a new concept of a Smart Electric Pole Safety Device with Hazard Prediction to monitor and predict poles’ status with real-time hazard warnings. The proposed device consists of a microcontroller, ESP32, and several sensors, namely, current sensor, temperature and smoke sensor, rain detector, and tilt sensor. The first step in this system involves registering and accessing sensor data through the microcontroller. Next, the controller analyses the information and compares it against set thresholds to detect any inconsistencies or irregularities in the system. If the system detects a hazard, buzzer and LEDs (Light-Emitting Diode) will issue warning signals and flashes to alert the surrounding people. In addition, the system will display the information on an OLED (Organic Light- Emitting Diode) screen. The system will save data about the polarity of the current, temperature, and smoke in a Blynk IoT platform through an internet connection. This feature will help maintenance workers keep track of the status of the pole remotely and respond to hazards detected in time. The main goal of this project is to ensure public safety while at the same time reducing the risks associated with electrical hazards of electrical poles.
Keywords: Smart Electric Pole, ESP32, Internet of Things (IoT), Hazard Detection, Blynk IoT Platform.
References
- Steinbauer P, Neusser Z, Bukovsky I, Neruda M. Lighting pole health monitoring for predictive maintenance. Procedia Structural Integrity. 2019 Jan 1;17:799-805.
- Anand NK, RaiMenon P. Real-time fault detection in power distribution systems using iot and machine learning for smart grid reliability. Int. J. Research in Electrical, Electronics and Communication Eng.. 2025;10(1):24-35.
- Rana S. AI-driven fault detection and predictive maintenance in electrical power systems: A systematic review of data-driven approaches, digital twins, and self- healing grids. American Journal of Advanced Technology and Engineering Solutions. 2025 Feb 3;1(01):258-89.
- Khujamatov H, Davronbekov D, Khayrullaev A, Abdullaev M, Mukhiddinov M, Cho J. ERIRMS evaluation of the reliability of IoT-aided remote monitoring systems of low-voltage overhead transmission lines. Sensors. 2024 Sep 14;24(18):5970.
- Sonoli S, Keerthi CM. IoT Based Lineman Security System Using Controlled Switchover With Transmission Line Fault Identification. In2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) 2023 Nov 2 (pp. 1-5). IEEE.
- Kumar SS, Navya M, Nayak CS, Shetty K, Shetty N. Smart IoT System for Detecting Current Leakage in Electric Poles and Shock Prevention. In2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC) 2025 Sep 10 (pp. 1310-1315). IEEE.
- Bhagwat A, Dutta S, Jadoun VK, Veerendra AS, Sahu SK. A customised artificial neural network for power distribution system fault detection. IET Generation, Transmission & Distribution. 2024 Jun;18(11):2105-18.
- Thirumurugan RS, Vanathi M, Rishikesh M, Yogeshkannan V, Kumar VA. IoT- Based EV Charging Infrastructure Safety System with Ground Fault Detection & Smart Transformer-Pole Health Monitoring. In2025 IEEE Pune Section International Conference (PuneCon) 2025 Dec 12 (pp. 1-6). IEEE.
- Shaikh A, Thapar M, Koli D, Rambade H. IOT based smart electric pole. In2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) 2018 Mar 29 (pp. 594-597). IEEE.
- Chauhan S, Chauhan A, Vishwakarma S, Shukla S, Gupta S. Smart City Electric Pole Monitoring System. International Journal for Research in Applied Science and Engineering Technology. 2021;8(6):1234-40.
- Senthilnathan S, Yoga M, Mariappan P, Maunne Shri M, Poorvashri M, Mithinvel T. IoT-Based Smart Fault Detection and Monitoring System for Street Lights. In2026 International Conference on Communication, Computing and Emerging Technologies (IC3ET) 2026 Feb 9 (pp. 1187-1192). IEEE.
- Thirunavukkarasu T, Jayakumar S, Kumar MG, Dharshanick M, Hariharan P, Gowtham S. IoT-Enabled Fault Detection in Power Electronic Converter Systems Using Machine Learning Techniques. In2026 6th International Conference on Trends in Material Science and Inventive Materials (ICTMIM) 2026 Apr 8 (pp. 774-778). IEEE.
- Shin H, Shafieezadeh A, Quiring S. Data-Driven Fragility Modeling of Utility Poles: Insights, Limitations, and the Need for Physics-Informed Features. In2026 IEEE Power & Energy Society General Meeting (PESGM) 2026 Jul 19 (pp. 1-5). IEEE.
- Quattrocchi A, Martella F, Lukaj V, De Leo R, Villari M, Montanini R. Designing a low-cost system to monitor the structural behavior of street lighting poles in smart cities. Sensors. 2023 Aug 7;23(15):6993.
Recent Trends in Sensor Research & Technology
| Volume | 13 | |
| 03 | ||
| Received | 14/10/2026 | |
| Accepted | 19/10/2026 | |
| Published | 22/10/2026 | |
| Publication Time | 8 Days |