User behavior self-learning air conditioning system and control method thereof

Abstract

The invention discloses a user behavior self-learning air conditioning system and a control method thereof. The user behavior self-learning air conditioning system comprises at least one air conditioner, a communication device and an intelligent control device, wherein the intelligent control device communicates with the air conditioners through the communication device, and the intelligent control device comprises an information collecting module, an information processing module and a behavior predicting module. The control method comprises the following steps that the information collecting module collects control information of a user to each air conditioner in real time so that a user behavior database is formed; the information processing module analyzes and processes the user behavior database so as to obtain a user behavior rule, and a user behavior model is generated according to the user behavior rule; and the behavior predicting module predicts the control behavior of the user to each air conditioner according to the user behavior model so that corresponding control parameters can be generated, and therefore the corresponding air conditioner is controlled according to the corresponding control parameters. In this way, the user behavior rule is optimized automatically through continuous studying, the user behavior can be predicted effectively, and the air conditioner can be controlled intelligently.

Description

technical field [0001] The invention relates to the technical field of designing air conditioners, in particular to a control method for a user behavior self-learning air conditioning system and a user behavior self-learning air conditioning system. Background technique [0002] In daily life, people often encounter these situations when using air conditioners: they have to manually turn off the air conditioner at home every time they go to work, they have to manually turn off the air conditioner in the office every time after get off work, and they have to manually turn on the air conditioner in the bedroom every time they sleep at night, etc. Bring great inconvenience to the user. Contents of the invention [0003] This application is based on the realization that while a few people behave irregularly, most people follow simple, repetitive patterns. A study published in the journal Science found that 93% of human behavior can be predicted by predicting the content of an ...

AI Technical Summary

Problems solved by technology

[0002] In daily life, people often encounter these situations when using air conditioners: they have to manually turn off the air conditioner at home every time they go to work, they have to manually turn off the air conditioner in the office every time after get off work, and they have to manually turn on the air conditioner in the bedroom every time they sleep at night, etc. Bring great inconvenience to users

Images