Intelligent air conditioner control method and system

A technology of intelligent air-conditioning and control methods, applied in heating and ventilation control systems, heating and ventilation safety systems, space heating and ventilation, etc., can solve problems such as low precision and slow response speed, and achieve high precision and fast response speed , the effect of comfortable indoor environment

Inactive Publication Date: 2014-10-01
GREE ELECTRIC APPLIANCES INC
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The embodiment of the present invention provides an intelligent air-conditioning control method and system, which makes the control more precise and the indoor environment more comfortable, and at the same time solves the technical problems of slow response speed and low precision of the existing air-conditioning control method

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  • Intelligent air conditioner control method and system
  • Intelligent air conditioner control method and system
  • Intelligent air conditioner control method and system

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Embodiment Construction

[0026] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, but not as a limitation of the present invention.

[0027] The embodiment of the invention discloses an intelligent air conditioner control method. figure 1 It is a flow chart of the intelligent air conditioner control method of the embodiment of the present invention. Such as figure 1 As shown, the intelligent air-conditioning control method of the present invention includes: collecting the actual value of the comfort data; obtaining the optimal comfort value according to the historical value and the actual value of the comfort data; generating a control signal according to the deviation between the optimal value and the actual value; The air conditioner is controlled according to the control signal. The comfort level data may include at least one of the following: air temperature, humidity, air velocity and average radiant temperatu...

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Abstract

The invention discloses an intelligent air conditioner control method. The method includes acquiring an comfort data actual value; obtaining a comfort optimum value according to a comfort data historical value and the comfort data actual value; generating a control signal according to the deviation between the optimal value and the actual value; controlling an air conditioner according to the control signal. The invention further discloses an intelligent air conditioner control system. The system comprises a data acquisition unit for acquiring a comfort data actual value, an optimum value obtaining unit for obtaining a comfort optimum value according to a comfort data historical value and the comfort data actual value, an analysis unit for generating a control signal according to the deviation between the optimal value and the actual value, and a controlling unit for controlling an air conditioner according to the control signal. The intelligent air conditioner control method and the intelligent air conditioner control system can obtain the accurate control and a comfortable indoor environment, and meanwhile, solves the technical problems of low response speed and accuracy of existing air conditioner control methods.

Description

technical field [0001] The invention relates to the field of home appliance control, in particular to an intelligent air conditioner control method and system. Background technique [0002] The control goal of intelligent air conditioners is to make the indoor environment more comfortable. At present, there are many methods to measure the thermal comfort of the human body. The most famous one is the thermal comfort index (Predicted Mean Vote, PMV), but this method has a very complicated calculation formula , and generally need to be calculated on a computer, which is difficult in practical applications. Neural network is a commonly used intelligent control method. There are many types of neural network. The choice of neural network has a great influence on the control effect and response speed of the controller. [0003] At present, the relevant technologies of intelligent controllers mostly use BP (Back Propagation) neural network. BP neural network has the advantages of s...

Claims

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Application Information

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IPC IPC(8): F24F11/00
Inventor 张有林郭清风米雪涛钱强李进
Owner GREE ELECTRIC APPLIANCES INC
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