Abstract:

A simple type of electrical appliance category and working status recognition device is designed to address the low testing accuracy of the market electrical appliance analysis and detection devices.The active power calculation and eigenvalue extraction judgment methods based on Fourier analysis are adopted,combined with positioning recognition algorithms, is proposed to identify the type and number of connected electrical appliances.Firstly, the active power and power factor of the electrical appliance are calculated, and then the harmonic power of each order is obtained through Fourier analysis.Finally, by using four parameters including active power as similarity indicators, the template matching algorithm is used to learn and recognize the categories and states of electrical appliances.After testing, the device has a learning function and can accurately identify the status and category of electrical appliances.Its testing accuracy for the types and numbers of electrical appliances reaches 100%, indicating certain application value.

Key words: electrical appliance analysis, Fourier analysis, active power, location recognition method, similarity