Electric appliance category and use state identification method based on machine learning and socket equipment
A technology of machine learning and state recognition, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as inability to safely locate and support electricity use, and inability to accurately identify the use status of a single electrical appliance, so as to improve safety, The effect of reducing the amount of calculation and reducing the cost
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[0042] like figure 1 As shown in the figure, a method for identifying electrical appliance categories and usage states based on machine learning specifically includes the following steps:
[0043] S1. Collect the current data of a plurality of electrical appliances to be tested in continuous use, and construct an electrical current data set;
[0044] S2, constructing a classification network of electrical appliance usage status, obtaining an electrical appliance usage status classification model, classifying the electrical appliance status during use, and further dividing the electrical appliance current data set according to the classification result to obtain the electrical appliance status current data set;
[0045] S3. Perform feature extraction on the current data in the electrical state current data set, and construct a classification network for electrical categories and usage states according to the extracted current features, and obtain an electrical category and usag...
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