基于相位角差异化辨识用电设备的智能插座探讨

Model Analysis of Smart Socket Based on Differential Identification of Phase Angle

传统的智能插座对用电设备的辨识只能通过用户在APP端上的自主定义或者处于无辨识状态。本设计主要根据不同用电设备其负载类型不同所表现的电压电流相位角差异化进行用电设备的类别辨识。同时为改善基础模型仅在终端进行泛化识别的缺陷,在后期设计展望部分采用云端部署自主监督学习的神经网络算法模型进行识别以实现对识别模型准确度的不断迭代。

Traditional smart sockets can only identify electrical equipment through the user’s autonomous definition on the APP side or in an unidentified state.This design is mainly based on the difference of the voltage and current phase angles of the different load types of different electrical equipment to identify the category of electrical equipment.At the same time,in order to improve the shortcomings of the basic model only in the terminal generalization recognition,in the later design prospect part,the neural network algorithm model of autonomous supervised learning deployed in the cloud is used for recognition to achieve continuous iteration of the accuracy of the recognition model.