A data-driven home environment comfort preference modeling and control method
A home environment, data-driven technology, applied in computer control, comprehensive factory control, electrical program control, etc., can solve problems such as lack of self-learning, difficulty in meeting comfort preference modeling and control, and inability to understand and predict user needs. , to achieve the effect of ensuring effectiveness, improving the level of intelligence and personalization
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[0041] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0042] A data-driven home environment comfort preference modeling and control method, such as figure 1 shown, including the following steps:
[0043] (1): Collect N pairs of home environment comfort preference data, and perform outlier processing on the collected N pairs of home environment comfort preference data according to the Grubbs criterion;
[0044] (2): According to the home environment comfort preference data after the outlier processing in step (1), a fuzzy model of home environment comfort preference is constructed based on the rough set method;
[0045] (3): According to the fuzzy model of home environment comfort preference constructed in step (2), the home environment comfort preference is intelligently controlled based on the fuzzy control strategy.
[0046] The home environment comfort preference data in the step (1) includes personne...
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