Multidimensional Data-driven Load Identification Device Based on CS5463 Module

Abstract

In this article, we introduce a device for analyzing and identifying electrical appliances, which takes the CS5463 module as the core and STM32F407 microcontroller as the control center. This device can collect the multi-dimensional electrical parameters of the measured load, such as voltage, current, harmonic content, and power. Based on the collected data, we can analyze the electrical characteristics of the load in different states, with algorithms such as CUSUM based on compound windows and wavelet analysis. Finally, using the comprehensive use of the power factor method, table look-up method, and direct discrimination method, we can realize the identification of the types of electrical appliances in the state of multiple electrical appliances coupling.