Air conditioning equipment, automatic control method thereof and terminal control equipment
An air conditioning device and a technology for regulating devices, which are applied to terminal control devices, computer-readable storage media, home appliances and their automatic control fields, to achieve the effects of high flexibility, intelligent control, and personalized control.
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[0080] Further, an implementation manner of obtaining a full-time control model by performing self-learning according to the data of multiple air-conditioning equipment is as follows:
[0081] First, define the independent variable: x i =, and dependent variable: y i =
[0082] Second, form a training set from data from multiple air-conditioning devices:
[0083] {(x 1 ,y 1 ),(x 2 ,y 2 ),…,(x N ,y N )};
[0084] The training set includes N pieces of training data, where x i is a multidimensional vector, y i The operation behavior of air conditioning equipment, including but not limited to power on and off, temperature setting, wind speed setting, mode setting, humidification / dehumidification, fresh air switch, purification switch, sterilization switch, etc.
[0085] Then, a "full-time self-control" self-learning model is trained through self-learning. Let's take the multiple linear regression model as an example.
[0086] Model training:
[0087]
[0088] Amon...
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