Air conditioning apparatus

Abstract

The application discloses an air conditioning equipment, comprising a sensing module, a first feature parameter acquisition module, a second feature parameter acquisition module, a target parameter acquisition module and a prediction module; wherein the first feature parameter acquisition module is configured to obtain the clothing level, the felt wind speed and the indoor environment background radiation temperature of the test human target based on the thermal image; the second feature parameter acquisition module is configured to obtain the environment temperature and the environment humidity of the indoor environment; the target parameter acquisition module is configured to obtain the combination of the felt temperature and the felt humidity of the test human target, and to represent the target label of each combination with an integer index; the prediction module has a prediction model generated based on the clothing level, the felt wind speed, the background radiation temperature, the environment temperature, the environment humidity and the target label. The integer index corresponding to the maximum probability value output by the prediction model is the output human target comfort level category. When dealing with a small sample environment, the air conditioning equipment provided by the application can effectively reduce the overfitting risk.

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