IOT BASED TRANSFORMER HEALTH MONOTORING SYSTEM

تاریخ : نومبر ۲۰۲۲ - اکتوبر ۲۰۲۳

<div><p>The IoT-based Transformer Health Monitoring System is a cutting-edge project designed for efficient monitoring and maintenance of transformers. Utilizing a combination of microprocessors, microcontrollers (Arduino Nano), current sensors, voltage sensors, DHT sensors, loads, and a transformer, this system ensures real-time monitoring and analysis of crucial parameters to prevent failures and optimize performance. Key Components: Microprocessor and Microcontroller (Arduino Nano): These components serve as the brain of the system, handling data acquisition, processing, and communication with the IoT platform. Current Sensor and Voltage Sensor: These sensors monitor the electrical parameters of the transformer, including current and voltage levels, providing insights into the operational conditions and detecting any anomalies. DHT Sensor: The DHT sensor measures temperature and humidity levels, offering crucial environmental data that can impact the transformer's performance and health. Load: The load connected to the transformer represents the actual operational conditions, allowing the system to assess the transformer's performance under different load scenarios. Transformer: The core component under observation, the transformer's health and operational status are continuously monitored to detect any abnormalities or potential issues. Functionality: The system continuously collects data from the sensors deployed within the transformer's vicinity. This data is then processed and analyzed in real-time to assess the transformer's health and performance. Key parameters such as temperature, humidity, current, and voltage levels are monitored closely. IoT Integration: The system is integrated with an IoT platform that enables remote monitoring and management. Data collected from the sensors is transmitted securely to the cloud, where it can be accessed and analyzed from anywhere with an internet connection. This allows for proactive maintenance, timely alerts, and predictive analytics to prevent potential failures and optimize transformer performance. Benefits: Early Fault Detection: By continuously monitoring critical parameters, the system can detect potential faults or abnormalities before they escalate into major issues, reducing downtime and maintenance costs. Optimized Performance: Insights gathered from real-time data analysis enable operators to optimize the transformer's performance and efficiency, leading to energy savings and prolonged lifespan. Remote Monitoring: The IoT integration enables remote monitoring and management, allowing operators to access vital information and make informed decisions from anywhere, enhancing operational efficiency and flexibility. In conclusion, the IoT-based Transformer Health Monitoring System offers a comprehensive solution for proactive maintenance and optimal performance of transformers, ensuring reliability, efficiency, and cost-effectiveness in power distribution systems.</p></div>