Power Transformer Monitoring And Notification System Using Iot Technique

  • Unique Paper ID: 208137
  • Volume: 13
  • Issue: 4
  • PageNo: 614-623
  • Abstract:
  • Power transformers are critical assets in electrical transmission and distribution networks, and their unexpected failure can result in service interruption, equipment damage, economic losses, and safety hazards. Conventional transformer inspection methods generally depend on periodic manual measurements, which may not provide continuous information about developing abnormal conditions. This paper presents the design and development of a low-cost, multi-parameter Power Transformer Monitoring and Notification System based on an ESP32 38-pin controller. The proposed system continuously monitors transformer-related electrical and environmental parameters using a 0–25 V DC voltage sensor, ACS712 current sensor, DHT11 temperature and humidity sensor, ultrasonic sensor for oil-level estimation, gas leakage sensor, and fire detection sensor. A 20×4 I²C LCD provides local real-time information, while the ESP32 transmits measured parameters to the ThingSpeak IoT platform for remote visualization and historical analysis. A SIM800L GSM module provides SMS-based fault notifications when predefined threshold conditions are exceeded. A GPS module provides the geographical coordinates of the monitored transformer so that maintenance personnel can identify the affected installation. In addition, a relay interface is incorporated to disconnect or reconnect the associated load according to locally detected faults or authorized GSM commands. The proposed architecture combines local sensing, edge-level fault detection, cloud-based monitoring, GSM notification, geographical identification, and remote load control in a single system. The resulting prototype is intended as a cost-effective supplementary monitoring and notification layer for distribution-transformer applications.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{208137,
        author = {Ganesh Shrishailya Swami},
        title = {Power Transformer Monitoring And Notification System Using Iot Technique},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {4},
        pages = {614-623},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=208137},
        abstract = {Power transformers are critical assets in electrical transmission and distribution networks, and their unexpected failure can result in service interruption, equipment damage, economic losses, and safety hazards. Conventional transformer inspection methods generally depend on periodic manual measurements, which may not provide continuous information about developing abnormal conditions. This paper presents the design and development of a low-cost, multi-parameter Power Transformer Monitoring and Notification System based on an ESP32 38-pin controller. The proposed system continuously monitors transformer-related electrical and environmental parameters using a 0–25 V DC voltage sensor, ACS712 current sensor, DHT11 temperature and humidity sensor, ultrasonic sensor for oil-level estimation, gas leakage sensor, and fire detection sensor. A 20×4 I²C LCD provides local real-time information, while the ESP32 transmits measured parameters to the ThingSpeak IoT platform for remote visualization and historical analysis. A SIM800L GSM module provides SMS-based fault notifications when predefined threshold conditions are exceeded. A GPS module provides the geographical coordinates of the monitored transformer so that maintenance personnel can identify the affected installation. In addition, a relay interface is incorporated to disconnect or reconnect the associated load according to locally detected faults or authorized GSM commands. The proposed architecture combines local sensing, edge-level fault detection, cloud-based monitoring, GSM notification, geographical identification, and remote load control in a single system. The resulting prototype is intended as a cost-effective supplementary monitoring and notification layer for distribution-transformer applications.},
        keywords = {Power transformer, ESP32, Internet of Things, IoT, GSM, SIM800L, ThingSpeak, GPS, ACS712, oil level monitoring, DHT11, fault detection, transformer monitoring.},
        month = {September},
        }

Cite This Article

Swami, G. S. (2026). Power Transformer Monitoring And Notification System Using Iot Technique. International Journal of Innovative Research in Technology (IJIRT), 13(4), 614–623.

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