Method for controlling air conditioner, air conditioner and computer-readable storage medium

Abstract

A method for controlling an air conditioner, an air conditioner and a computer-readable storage medium are provided. The method includes: obtaining at least two predicted control parameter combinations for a current cycle prediction of the air conditioner and obtaining a historical control parameter combination of the air conditioner from a previous cycle operation; determining a target control parameter combination for the air conditioner according to parameter similarities between each of the predicted control parameter combinations and the historical control parameter combination; and controlling the air conditioner to operate according to the parameter values in the target control parameter combination.

1 . A method for controlling an air conditioner, comprising:
 obtaining at least two predicted control parameter combinations for a current cycle prediction of the air conditioner and obtaining a historical control parameter combination of the air conditioner from a previous cycle operation;   determining a target control parameter combination for the air conditioner according to parameter similarities between each of the predicted control parameter combinations and the historical control parameter combination; and   controlling the air conditioner to operate according to parameter values in the target control parameter combination.   
     
     
         2 . The method of  claim 1 , wherein the determining the target control parameter combination for the air conditioner according to the parameter similarities between each of the predicted control parameter combinations and the historical control parameter combination comprises:
 normalizing the parameters in the predicted control parameter combinations and the historical control parameter combination to obtain normalized values of each control parameter in the predicted control parameter combinations and the historical control parameter combination;   calculating the parameter similarity between the normalized values of the predicted control parameter combinations and the historical control parameter combination; and   determining the predicted control parameter combination corresponding to a largest parameter similarity as a target control parameter combination.   
     
     
         3 . The method of  claim 2 , wherein the calculating the parameter similarity between the normalized values of the predicted control parameter combinations and the historical control parameter combination comprises:
 determining a relative numerical value between the normalized values of the predicted control parameter combinations and the historical control parameter combination based on a preset similarity calculation strategy, wherein the similarity calculation strategy comprises Manhattan distance calculation, Euclidean distance calculation, and cosine distance calculation; and   determining the parameter similarity based on the relative numerical value, wherein the relative numerical value and the parameter similarity are negatively correlated.   
     
     
         4 . The method of  claim 1 , wherein the obtaining the at least two predicted control parameter combinations for the current cycle prediction of the air conditioner comprises:
 determining a control parameter combination of the air conditioner that satisfies a preset parameter prediction model, wherein the control parameter combination comprises at least two predicted control parameters.   
     
     
         5 . The method of  claim 4 , wherein the parameter prediction model comprises a temperature model, a wind speed model, and a heating and cooling rate model, and the determining the control parameter combination of the air conditioner that satisfies the preset parameter prediction model comprises:
 determining a control parameter combination formed by each parameter value of each predicted control parameter of the air conditioner based on the temperature model, and predicting an indoor temperature change corresponding to the control parameter combination; determining a control parameter combination that satisfies a target indoor temperature according to the indoor temperature change and using the control parameter combination that satisfies the target indoor temperature as the control parameter combination of the air conditioner that satisfies the temperature model; or   determining a control parameter combination formed by each parameter value of each predicted control parameter of the air conditioner based on the wind speed model, and predicting a target speed corresponding to the control parameter combination; determining a control parameter combination that satisfies the target speed and using the control parameter combination that satisfies the target speed as the control parameter combination of the air conditioner that satisfies the wind speed model; or   determining a control parameter combination formed by each parameter value of each predicted control parameter of the air conditioner based on the heating and cooling rate model, and predicting a temperature change rate corresponding to the control parameter combination; determining a control parameter combination that satisfies the temperature change rate and using the control parameter combination that satisfies the temperature change rate as the control parameter combination of the air conditioner that satisfies the heating and cooling rate model.   
     
     
         6 . The method of  claim 5 , further comprising:
 recording a controllable operating parameter and an uncontrollable operating parameter in each operating cycle of the air conditioner, and a historical indoor temperature change after each operating cycle of the air conditioner; performing training according to recorded historical operating data of the air conditioner to generate a first mapping relationship between the controllable operating parameters, the uncontrollable operating parameters, and the historical indoor temperature change to predict the indoor temperature change based on the first mapping relationship; or   recording the controllable operating parameter and the uncontrollable operating parameter in each operating cycle of the air conditioner, and a historical internal fan speed after each operating cycle of the air conditioner; performing training according to the recorded historical operating data of the air conditioner to generate a second mapping relationship between the controllable operating parameters, the uncontrollable operating parameters, and the historical internal fan speed to predict the target speed of the internal fan based on the second mapping relationship; or   recording the controllable operating parameters and uncontrollable operating parameters in each operating cycle of the air conditioner, and a historical compressor frequency and the historical internal fan speed after each operating cycle of the air conditioner; performing training according to the recorded historical operating data of the air conditioner to generate a third mapping relationship between the controllable operating parameters, the uncontrollable operating parameters, the historical compressor frequency, and the historical internal fan speed to predict the temperature change rate based on the third mapping relationship.   
     
     
         7 . The method of  claim 1 , wherein before the obtaining the at least two predicted control parameter combinations for the current cycle prediction of the air conditioner, the method further comprises:
 obtaining current environmental state parameters collected by the air conditioner in a current cycle and obtaining historical environmental state parameters determined by a plurality of historical cycles of the air conditioner; and   determining environmental state optimization parameters of the current cycle of the air conditioner based on the historical environmental state parameters and the current environmental state parameters to determine a plurality of predicted control parameter combinations according to the operating state parameters of the current cycle and the environmental state optimization parameters.   
     
     
         8 . The method of  claim 1 , further comprising:
 obtaining historical control parameter combinations executed in a plurality of historical cycles of the air conditioner and obtaining a predicted control parameter combination with the greatest similarity to the historical control parameter combination from a previous cycle; and   determining the target control parameter combination according to the plurality of historical control parameter combinations and the predicted control parameter combination with the greatest similarity.   
     
     
         9 . A method for controlling an air conditioner, comprising:
 obtaining a control scheme predicted by the air conditioner in a current cycle and historical control parameters executed by the air conditioner in historical cycles, wherein the control scheme comprises at least one predicted control parameter;   determining a target control parameter of the air conditioner according to the historical control parameter and the predicted control parameter, wherein the target control parameter is obtained by smoothing the predicted control parameter according to the historical control parameter; and   controlling the air conditioner to operate according to the target control parameter.   
     
     
         10 . The method of  claim 9 , wherein the determining the target control parameter of the air conditioner according to the historical control parameter and the predicted control parameter comprises:
 determining, based on a preset smoothing strategy, a target control parameter of the air conditioner according to the historical control parameters and the predicted control parameters of one or more historical cycles.   
     
     
         11 . The method of  claim 10 , wherein the smoothing strategy comprises an arithmetic mean optimization strategy, and the determining, based on the preset smoothing strategy, the target control parameter of the air conditioner according to the historical control parameters and the predicted control parameters of one or more historical cycles comprises:
 calculating an average value of one or more historical control parameters and each predicted control parameter as the target control parameter corresponding to the each predicted control parameter.   
     
     
         12 . The method of  claim 10 , wherein the smoothing strategy comprises a weighted average optimization strategy, and the determining, based on the preset smoothing strategy, the target control parameter of the air conditioner according to the historical control parameters and the predicted control parameters of one or more historical cycles comprises:
 obtaining a parameter value corresponding to the predicted control parameter in the historical control parameters;   determining a weight value of the obtained parameter value; and   performing a weighted calculation on the obtained parameter value according to the determined weight value to obtain the target control parameter of the air conditioner.   
     
     
         13 . The method of  claim 9 , wherein the obtaining a control scheme predicted by the air conditioner in a current cycle comprises:
 determining a control parameter combination of the air conditioner that satisfies a preset parameter prediction model, wherein the control parameter combination comprises at least two control parameters;   in response to that at least two control parameter combinations are determined, determining a control parameter combination that satisfies a preset combination selection strategy in the control parameter combinations as the control scheme.   
     
     
         14 . The method of  claim 13 , wherein the parameter prediction model comprises a temperature model, a wind speed model, and a heating and cooling rate model, and the determining the control parameter combination of the air conditioner that satisfies the preset parameter prediction model comprises:
 determining, based on the temperature model, a control scheme formed by each parameter value of the predicted control parameter of the air conditioner, and predicting an indoor temperature change corresponding to the control parameter combination; determining a control parameter combination that satisfies the target indoor temperature according to the indoor temperature change and using the control parameter combination that satisfies the target indoor temperature as the control parameter combination; or   determining, based on the wind speed model, a control parameter combination formed by each parameter value of the predicted control parameter of the air conditioner and predicting a target speed corresponding to the control parameter combination; determining a control parameter combination that satisfies the target speed and using the control parameter combination that satisfies the target speed as the control parameter combination; or   determining, based on the heating and cooling rate model, a control parameter combination formed by each parameter value of the predicted control parameter of the air conditioner and predicting a temperature change rate corresponding to the control parameter combination; determining a control parameter combination that satisfies the temperature change rate and using the control parameter combination that satisfies the temperature change rate as the control parameter combination.   
     
     
         15 . The method of  claim 13 , wherein the determining the control parameter combination that satisfies the preset combination selection strategy in the control parameter combinations as the control scheme comprises:
 calculating an energy efficiency ratio corresponding to the control parameter combination and determining the control parameter combination corresponding to a highest energy efficiency ratio as the control scheme; or   obtaining a comfort value corresponding to an operation of the air conditioner according to each control parameter combination, and determining the control parameter combination whose comfort value is closest to a preset comfort value as the control scheme; or   obtaining a health value corresponding to the operation of the air conditioner according to each control parameter combination, and determining the control parameter combination whose health value is closest to a preset health value as the control scheme.   
     
     
         16 . The method of  claim 9 , wherein before obtaining the control scheme predicted by the air conditioner in the current cycle, the method further comprises:
 obtaining current environmental state parameters collected in a current cycle of the air conditioner and obtaining historical environmental state parameters determined in a plurality of historical cycles of the air conditioner; and   determining environmental state optimization parameters corresponding to the environmental state parameters of the air conditioner based on the historical environmental state parameters and the current environmental state parameters to determine the control scheme according to operating state parameters of the current cycle and the environmental state optimization parameters.   
     
     
         17 . An air conditioner comprising:
 a memory;   at least one processor; and   a program for controlling the air conditioner stored in the memory and executable on the at least one processor,   wherein when the program for controlling the air conditioner is executed by the at least one processor, the method for controlling the air conditioner according to  claim 1  is implemented.   
     
     
         18 . A computer-readable storage medium, wherein a program for controlling an air conditioner is stored on the computer-readable storage medium, and when the program for controlling the air conditioner is executed by at least one processor, the method for controlling the air conditioner according  claim 1  is implemented. 
     
     
         19 . An air conditioner comprising:
 a memory;   at least one processor; and   a program for controlling the air conditioner stored in the memory and executable on the at least one processor,   wherein when the program for controlling the air conditioner is executed by the at least one processor, the method for controlling the air conditioner according to  claim 9  is implemented.   
     
     
         20 . A computer-readable storage medium, wherein a program for controlling an air conditioner is stored on the computer-readable storage medium, and when the program for controlling the air conditioner is executed by at least one processor, the method for controlling the air conditioner according  claim 9  is implemented.