Deteksi Corona Discharger melalui Monitoring Suhu dan Kelembaban Berbasis IoT secara real time pada Kubikel 20kV

Abstract

Disturbances that often occur in 20 kV cubicles, where one of them is the corona discharger phenomenon, this phenomenon has the potential to reduce efficiency and damage equipment. Environmental factors such as temperature and humidity, have the potential to cause corona discharger symptoms. This research aims to develop a real-time Internet of Things (IoT)-based temperature and humidity monitoring system using DHT22 sensors and NodeMCU ESP32 at 20 kV Cubicle to detect symptoms of corona discharger. This system uses DHT22 sensors and NodeMCU ESP32 and sends data to the IoT platform. The data is monitored web-based to facilitate the real-time remote monitoring process. In addition, the system is equipped with an analysis algorithm to provide early warning if the temperature and humidity parameters reach a threshold that could potentially trigger the onset of corona discharger symptoms. The test results show that the temperature and humidity values are constant and there are no outliers with a temperature standard deviation of 1.14°C and a humidity standard deviation of 6.05%. Based on these results, it can be concluded that the accuracy is good and acceptable because it is in accordance with the DHT22 sensor data sheet, namely the measured humidity must have a range between 2-5% and ± 5 ° C for the temperature value, the system is able to provide accurate data with real-time response. This system not only improves the reliability of 20kV cubicle monitoring but also helps in the effort to improve the reliability of 20kV cubicle monitoring.