Visual Power Distribution Room Fault Detection System Based on KNN Algorithm And Unity3D Engine

In this study, a visual power distribution room fault detection system based on KNN algorithm and Unity3D engine is proposed. The simulation system is designed to provide a realistic, interactive environment for simulating and analyzing the operation of the distribution room. With the power of the Unity engine, users can visualize the various components of the power distribution room, simulate the circuitry, and interact with a variety of devices and parameters. The system provides functions such as equipment failure simulation, load prediction, anomaly detection, and energy efficiency optimization. With this simulation platform, users can gain insight into how the distribution room operates, test different scenarios, and improve the decision-making process. Overall, the switchroom simulation system based on Unity and KNN algorithms provides a valuable tool in the field of electrical fault detection.