With the aggravation of energy crisis,the saving and efficient use of electric energy is vital.To solve the problem of effective monitoring of household appliances and improving the utilization efficiency of electric ener-gy,this paper proposes a household appliances identification system and method.With STM32F103 as the core processor,the system uses sensor technology and wireless communication technology,and realizes the functions of electrical parameter measurement,electrical appliance identification,electrical parameter self-learning and wireless data transmission through non-invasive load monitoring method.The identification method of Euclidean distance is used to identify the types of electrical appliances.The algorithm is simple,the computing power is low and the rec-ognition accuracy is high.Through the mobile Internet,remote cloud platform data monitoring and data visualiza-tion,the system is flexible and works well.
关键词
用电器种类识别/非侵入式负荷监测/STM32核心处理器/欧氏距离
Key words
identificationof the type of electrical appliances/non-invasive load monitoring/STM32 core pro-cessor/euclidean distance
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