IoT Based Smart Framework Monitoring System for Power Station

Power Station (PS) monitoring systems are becoming critical, ensuring electrical safety through early warning, and in the event of a PS fault, power supply is quickly disconnected. Traditional technologies based on relays don’t have way to capture store user data when there problem. The proposed framework designed with goal providing smart environments for protecting types equipment. This paper proposes an Internet Things (IoT)-based Smart Framework (SF) Devices (PD) which being used substations. A Real-Time Monitoring (RTM) system proposed, it uses state-of-the-art IoT-based System Chip (SoC) sensors, Hybrid Prediction Model (HPM), Big Data Processing (BDP). Cloud Server (CS) processes does analytics by comparing historical already stored CS. No-Structural Query Language Mongo Base (MDB) Sensor (SD) from PSs. HPM combines Density-Based Spatial Clustering Applications Noise (DBSCAN)-algorithm Outlier Detection (OD) Random Forest (RF) classification algorithm removing outlier SD Fault (FD) PD isn’t working. suggested work assessed tested under various fault circumstances that happened simulation outcome proves model effective smooth functioning PS. Also, has higher (FP) accuracy. means faults can be found earlier, warning signals sent, turned off ensure safety. powerful RTM also built into before happen.