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Method and device for controlling air conditioner and air conditioner

An air-conditioning and control model technology, applied in mechanical equipment and other directions, can solve the problems of fixed air-conditioning control strategy, difficult to achieve optimal air-conditioning performance, and single, etc., and achieve the effect of maximizing the ability.

Active Publication Date: 2020-01-31
GREE ELECTRIC APPLIANCES INC OF ZHUHAI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a method, device and air conditioner for controlling the air conditioner, so as to at least solve the technical problem that the control strategy of the air conditioner in the related art is relatively fixed and single, which makes it difficult to achieve the best performance of the air conditioner

Method used

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  • Method and device for controlling air conditioner and air conditioner
  • Method and device for controlling air conditioner and air conditioner
  • Method and device for controlling air conditioner and air conditioner

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Embodiment 1

[0029] According to an embodiment of the present application, an embodiment of a method for controlling an air conditioner is provided. It should be noted that the steps shown in the flowcharts of the drawings can be executed in a computer system such as a set of computer-executable instructions, and although A logical order is shown in the flowcharts, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0030] figure 1 It is a method for controlling an air conditioner according to an embodiment of the present application, such as figure 1 As shown, the method includes the following steps:

[0031] Step S102, read the pre-stored control model from the built-in chip of the air conditioner, wherein the control model is a neural network model, and the neural network model is obtained through machine learning training using multiple sets of data, and each set of data in the multiple sets of data includes: air...

Embodiment 2

[0090] According to an embodiment of the present invention, a device for controlling an air conditioner is provided, Figure 5 is a schematic diagram of a device for controlling an air conditioner according to an embodiment of the present application. Such as Figure 5 As shown, the device 500 includes a reading module 502 and an adjustment module 504 .

[0091] Wherein, the reading module 502 is used to read the pre-stored control model from the built-in chip of the air conditioner, wherein the control model is a neural network model, and the neural network model is obtained through machine learning training using multiple sets of data, and each of the multiple sets of data The set of data includes: the simulation data of the simulation model of the air conditioner; the adjustment module 504, which is used to adjust the control strategy of the air conditioner according to the control model, so that the air conditioner operates under the target working condition, wherein the ...

Embodiment 3

[0101] According to an embodiment of the present invention, an air conditioner is provided, including:

[0102]The built-in chip is set on the controller of the air conditioner to pre-store the control model. The control model is a neural network model. The neural network model is obtained through machine learning training using multiple sets of data. Each set of data in the multiple sets of data includes: Simulation data for the simulation model of the air conditioner.

[0103] The controller is communicated with the built-in chip, and is used to read the control model, and adjust the control strategy of the air conditioner according to the control model, so that the air conditioner operates under the target working condition, wherein the control strategy is used to determine the working mode of the air conditioner to be used.

[0104] Further, the air conditioner may also include other modules in Embodiment 2, which will not be repeated here.

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Abstract

The invention discloses a method and device for controlling an air conditioner, and the air conditioner. The method comprises the following steps: reading a pre-stored control model in an internal chip of the air conditioner, wherein the control model is a nerve network model, the nerve network model is obtained by performing machine learning and training on multiple groups of data, and each groupof data in the multiple groups of data comprise emulated data of an emulation model of the air conditioner; and regulating the control strategy of the air conditioner according to the control model,and enabling the air conditioner to operate under a target working condition, wherein the control strategy is used for determining a to-be-used working mode of the air conditioner. The method solves the technical problem that performance of the air conditioner cannot be optimal easily as a control strategy of the air conditioner in the related technology is relatively fixed and single.

Description

technical field [0001] The present application relates to the field of smart home appliances, in particular, to a method and device for controlling an air conditioner, and an air conditioner. Background technique [0002] With the continuous improvement of living standards, people's requirements for the comfort of the living environment are also getting higher and higher. As an important equipment for indoor temperature and humidity regulation, air conditioners have become a necessity in people's lives. At present, air conditioners generally adopt traditional control strategies, the control logic is relatively fixed and simple, and each actuator is controlled independently, which cannot cope with the actual complex environment and the individual needs of users, and cannot maximize the actual capacity of the air conditioner, resulting in unnecessary resources. waste. [0003] Aiming at the technical problem that the control strategy of the air conditioner in the related art...

Claims

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Application Information

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IPC IPC(8): F24F11/64F24F11/65
CPCF24F11/64F24F11/65
Inventor 梁之琦吴俊鸿田雅颂廖敏翟振坤周金声徐小魏连彩云梁博王现林林金煌陶梦春
Owner GREE ELECTRIC APPLIANCES INC OF ZHUHAI
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