Intelligent determination method and device for operation mode of air conditioner

Abstract

The invention discloses an intelligent determination method and device for air conditioner operation modes, and the method comprises the steps: when an air conditioner memory function operation instruction is received, obtaining at least one memory operation mode of an air conditioner in a preset time period and historical external information corresponding to each memory operation mode, determining real-time external information corresponding to the air conditioner, calculating an application matching degree between the real-time external information and each memory operation mode according to the real-time external information and historical external information corresponding to each memory operation mode, determining a target memory operation mode corresponding to the application matching degree meeting a preset application matching degree condition, and according to the target memory operation mode, determining a target memory operation mode corresponding to the application matching degree meeting the preset application matching degree condition; determining the current operation mode of the air conditioner. It can be seen that when the matching accuracy of the determined current operation mode of the air conditioner and the real-time external information is improved, the intelligence and the determination efficiency of the operation of determining the current operation mode of the air conditioner can be improved, and the use experience of a user on the air conditioner is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning, and in particular to an intelligent method and device for determining an air conditioning operation mode. Background Art

[0002] With the continuous improvement of people's living standards and the rapid development of science and technology, smart air conditioners have gradually entered thousands of households, improving the comfort of the indoor environment and people's living experience. When users use smart air conditioners, when the air conditioner is turned on again from standby mode, it usually works according to the operating mode before entering the standby mode, which cannot meet the user's current air conditioning needs.

[0003] In real life, users are often required to manually adjust the operating mode of the air conditioner to the operating mode currently required by the user. This process is less intelligent and more cumbersome. Therefore, it is particularly important to propose a technical solution that can improve the intelligence and efficiency of determining the operating mode of the air conditioner. Summary of the invention

[0004] The present invention provides an intelligent method and device for determining an operating mode of an air conditioner, which can help improve the intelligence and efficiency of determining the operating mode of the air conditioner.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent method for determining an air conditioner operation mode, the method comprising:

[0006] When receiving an air conditioner memory function operation instruction, obtaining at least one memory operation mode of the air conditioner within a preset time period and historical external information corresponding to each memory operation mode;

[0007] Determine the real-time external information corresponding to the air conditioner, and calculate the application matching degree between the real-time external information and each of the memory operation modes according to the real-time external information and the historical external information corresponding to each of the memory operation modes;

[0008] A memory operation mode corresponding to an application matching degree that meets a preset application matching degree condition is determined as a target memory operation mode, and a current operation mode of the air conditioner is determined according to the target memory operation mode.

[0009] As an optional implementation manner, in the first aspect of the present invention, the calculating the application matching degree between the real-time external information and each of the memory operation modes according to the real-time external information and the historical external information corresponding to each of the memory operation modes includes:

[0010] Determine the historical environment parameters and historical user parameters corresponding to each of the memory operation modes according to the historical external information corresponding to each of the memory operation modes;

[0011] Determining real-time environmental parameters and real-time user parameters corresponding to the air conditioner according to real-time external information corresponding to the air conditioner;

[0012] Calculating a first matching degree between the real-time environmental parameters corresponding to the air conditioner and the historical environmental parameters corresponding to each of the memory operation modes, and calculating a second matching degree between the real-time user parameters corresponding to the air conditioner and the historical user parameters corresponding to each of the memory operation modes;

[0013] The application matching degree between the real-time external information and each of the memory operation modes is calculated according to the first matching degree and the second matching degree.

[0014] As an optional implementation, in the first aspect of the present invention, determining the current operation mode of the air conditioner according to the target memory operation mode includes:

[0015] Calculating first parameter change information between the historical environmental parameters and the real-time environmental parameters according to the historical environmental parameters corresponding to the target memory operation mode and the real-time environmental parameters corresponding to the air conditioner;

[0016] Calculating second parameter change information between the historical user parameters and the real-time user parameters according to the historical user parameters corresponding to the target memory operation mode and the real-time user parameters corresponding to the air conditioner;

[0017] The current operation mode of the air conditioner is determined according to the first parameter change information, the second parameter change information and the target memory operation mode.

[0018] As an optional implementation, in the first aspect of the present invention, after determining the current operating mode of the air conditioner according to the target memory operating mode, the method further includes:

[0019] Analyzing the predicted air output effect of the air conditioner according to the current operation mode of the air conditioner;

[0020] Determining, based on the predicted air outlet effect, the effect of the predicted air outlet effect on the comfort level of a target user in the working area of ​​the air conditioner;

[0021] Determining the comfort range of the target user according to the real-time external information corresponding to the air conditioner;

[0022] It is determined whether the comfort level influence effect is within the comfort level range, and when it is determined that the comfort level influence effect is within the comfort level range, the air conditioner is controlled to operate according to the current operation mode.

[0023] As an optional implementation, in the first aspect of the present invention, determining, according to the predicted air outlet effect, the effect of the predicted air outlet effect on the comfort of a target user in the working area of ​​the air conditioner, includes:

[0024] Determining the air conditioner output demand parameters of the target user according to the real-time user parameters corresponding to the air conditioner;

[0025] Acquire historical air-conditioning usage data of the target user, and determine a comfort reference coefficient according to the historical air-conditioning usage data;

[0026] The effect of the predicted air outlet effect on the comfort level of the target user is determined according to the air conditioning air outlet demand parameter and the comfort level reference coefficient.

[0027] As an optional implementation, in the first aspect of the present invention, the air conditioning outlet demand parameter of the target user includes an air conditioning outlet volume demand parameter and an air conditioning outlet temperature demand parameter;

[0028] The step of determining the air conditioner air output demand parameter of the target user according to the real-time user parameter corresponding to the air conditioner includes:

[0029] Determining the location parameters and state parameters of the target user according to the real-time user parameters corresponding to the air conditioner;

[0030] Analyzing the wind force arrival point corresponding to the target user according to the location parameter of the target user, and determining the air conditioning air volume demand parameter of the target user according to the wind force arrival point;

[0031] The air outlet temperature requirement parameter of the air conditioner of the target user is determined according to the state parameter of the target user and the real-time environmental parameter corresponding to the air conditioner.

[0032] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0033] When it is determined that the comfort level influence effect is outside the comfort level range, determining a first demand weight coefficient corresponding to the air conditioning air volume demand parameter of the target user and a second demand weight coefficient corresponding to the air conditioning air outlet temperature demand parameter of the target user according to the air conditioning historical usage data of the target user;

[0034] An air conditioning mode update parameter is generated according to the air conditioning air volume demand parameter, the first demand weight coefficient, the air conditioning air temperature demand parameter and the second demand weight coefficient, and the current operation mode of the air conditioner is updated according to the air conditioning mode update parameter.

[0035] A second aspect of the present invention discloses an intelligent device for determining an air conditioner operation mode, the device comprising:

[0036] an acquisition module, for acquiring at least one memory operation mode of the air conditioner within a preset time period and historical external information corresponding to each memory operation mode when receiving an air conditioner memory function operation instruction;

[0037] A first determination module is used to determine the real-time external information corresponding to the air conditioner, and calculate the application matching degree between the real-time external information and each of the memory operation modes according to the real-time external information and the historical external information corresponding to each of the memory operation modes;

[0038] The second determination module is used to determine a memory operation mode corresponding to an application matching degree that meets a preset application matching degree condition as a target memory operation mode, and determine a current operation mode of the air conditioner according to the target memory operation mode.

[0039] As an optional implementation, in the second aspect of the present invention, the first determination module calculates the application matching degree between the real-time external information and each of the memory operation modes according to the real-time external information and the historical external information corresponding to each of the memory operation modes, specifically including:

[0040] Determine the historical environment parameters and historical user parameters corresponding to each of the memory operation modes according to the historical external information corresponding to each of the memory operation modes;

[0041] Determining real-time environmental parameters and real-time user parameters corresponding to the air conditioner according to real-time external information corresponding to the air conditioner;

[0042] Calculating a first matching degree between the real-time environmental parameters corresponding to the air conditioner and the historical environmental parameters corresponding to each of the memory operation modes, and calculating a second matching degree between the real-time user parameters corresponding to the air conditioner and the historical user parameters corresponding to each of the memory operation modes;

[0043] The application matching degree between the real-time external information and each of the memory operation modes is calculated according to the first matching degree and the second matching degree.

[0044] As an optional implementation, in the second aspect of the present invention, the second determination module determines the current operation mode of the air conditioner according to the target memory operation mode, specifically including:

[0045] Calculating first parameter change information between the historical environmental parameters and the real-time environmental parameters according to the historical environmental parameters corresponding to the target memory operation mode and the real-time environmental parameters corresponding to the air conditioner;

[0046] Calculating second parameter change information between the historical user parameters and the real-time user parameters according to the historical user parameters corresponding to the target memory operation mode and the real-time user parameters corresponding to the air conditioner;

[0047] The current operation mode of the air conditioner is determined according to the first parameter change information, the second parameter change information and the target memory operation mode.

[0048] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0049] an analysis module, configured to analyze the predicted air outlet effect of the air conditioner according to the current operating mode of the air conditioner after the second determination module determines the current operating mode of the air conditioner according to the target memory operating mode;

[0050] The first determination module is further used to determine, based on the predicted air outlet effect, the effect of the predicted air outlet effect on the comfort level of a target user in the working area of ​​the air conditioner;

[0051] The first determination module is further used to determine the comfort range of the target user according to the real-time external information corresponding to the air conditioner;

[0052] The judging module is used to judge whether the comfort level influence effect is within the comfort level range, and when it is judged that the comfort level influence effect is within the comfort level range, control the air conditioner to operate according to the current operation mode.

[0053] As an optional implementation, in the second aspect of the present invention, the first determination module determines, according to the predicted air outlet effect, the influence of the predicted air outlet effect on the comfort of the target user in the working area of ​​the air conditioner in a manner specifically comprising:

[0054] Determining the air conditioner output demand parameter of the target user according to the real-time user parameter corresponding to the air conditioner;

[0055] Acquire historical air-conditioning usage data of the target user, and determine a comfort reference coefficient according to the historical air-conditioning usage data;

[0056] The effect of the predicted air outlet effect on the comfort level of the target user is determined according to the air conditioning air outlet demand parameter and the comfort level reference coefficient.

[0057] As an optional implementation, in the second aspect of the present invention, the air conditioning outlet demand parameter of the target user includes an air conditioning outlet volume demand parameter and an air conditioning outlet temperature demand parameter;

[0058] The first determination module determines the air conditioner air output demand parameter of the target user according to the real-time user parameter corresponding to the air conditioner in a manner specifically including:

[0059] Determining the location parameters and state parameters of the target user according to the real-time user parameters corresponding to the air conditioner;

[0060] Analyzing the wind force arrival point corresponding to the target user according to the location parameter of the target user, and determining the air conditioning air volume demand parameter of the target user according to the wind force arrival point;

[0061] The air outlet temperature requirement parameter of the air conditioner of the target user is determined according to the state parameter of the target user and the real-time environmental parameter corresponding to the air conditioner.

[0062] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0063] A third determination module is used to determine, when the judgment module determines that the comfort impact effect is outside the comfort range, a first demand weight coefficient corresponding to the air conditioning air volume demand parameter of the target user and a second demand weight coefficient corresponding to the air conditioning air outlet temperature demand parameter of the target user according to the air conditioning historical usage data of the target user;

[0064] A generation module is used to generate an air conditioning mode update parameter according to the air conditioning air volume demand parameter, the first demand weight coefficient, the air conditioning air outlet temperature demand parameter and the second demand weight coefficient, and to update the current operating mode of the air conditioner according to the air conditioning mode update parameter.

[0065] The third aspect of the present invention discloses another intelligent determination device for an air conditioner operation mode, the device comprising:

[0066] A memory storing executable program code;

[0067] a processor coupled to the memory;

[0068] The processor calls the executable program code stored in the memory to execute the intelligent determination method of the air-conditioning operation mode disclosed in the first aspect of the present invention.

[0069] The fourth aspect of the present invention discloses a computer storage medium, wherein the computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the intelligent determination method of the air-conditioning operation mode disclosed in the first aspect of the present invention.

[0070] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0071] In an embodiment of the present invention, when an air conditioner memory function operation instruction is received, at least one memory operation mode of the air conditioner within a preset time period and the historical external information corresponding to each memory operation mode are obtained, the real-time external information corresponding to the air conditioner is determined, and the application matching degree between the real-time external information and each memory operation mode is calculated based on the real-time external information and the historical external information corresponding to each memory operation mode, and the memory operation mode corresponding to the application matching degree that meets the preset application matching degree condition is determined as the target memory operation mode, and the current operation mode of the air conditioner is determined based on the target memory operation mode. It can be seen that the implementation of the present invention can filter the memory operation mode that best matches the real-time external information of the air conditioner according to the application matching degree, improve the rationality of the target memory operation mode determined subsequently, improve the matching accuracy of the current operation mode of the air conditioner determined and the real-time external information, and at the same time, can improve the intelligence and determination efficiency of the operation of determining the current operation mode of the air conditioner, and enhance the user experience of the air conditioner. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0073] Figure 1 It is a schematic diagram of an application scenario of an intelligent method for determining an air-conditioning operation mode disclosed in an embodiment of the present invention;

[0074] Figure 2 It is a flowchart of an intelligent method for determining an air-conditioning operation mode disclosed in an embodiment of the present invention;

[0075] Figure 3 It is a flow chart of another intelligent method for determining an air conditioner operation mode disclosed in an embodiment of the present invention;

[0076] Figure 4 It is a structural schematic diagram of an intelligent device for determining an air conditioner operation mode disclosed in an embodiment of the present invention;

[0077] Figure 5 It is a structural schematic diagram of another intelligent device for determining an air conditioner operation mode disclosed in an embodiment of the present invention;

[0078] Figure 6 It is a structural schematic diagram of another intelligent device for determining an air-conditioning operation mode disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0079] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0080] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0081] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0082] The present invention discloses an intelligent determination method and device for an air conditioner operating mode, which can improve the matching accuracy between the determined current operating mode of the air conditioner and real-time external information, and can improve the intelligence and determination efficiency of the operation of determining the current operating mode of the air conditioner, thereby improving the user experience of the air conditioner. The following are detailed descriptions.

[0083] In order to better understand the intelligent determination method and device of the air conditioner operation mode described in the present invention, the scenario to which the intelligent determination method of the air conditioner operation mode is applicable is first described. Specifically, the scenario can be as follows: Figure 1 As shown, Figure 1 Schematic diagram of an application scenario of an intelligent method for determining an air-conditioning operation mode disclosed in an embodiment of the present invention. Figure 1 As shown, the scene diagram includes a user (such as Xiao Ming) and an air conditioner. The user can send an air conditioner memory function operation instruction to the air conditioner, or the air conditioner can automatically obtain a preset air conditioner memory function operation instruction when the air conditioner is turned on according to the user's setting, and obtain the information of the air conditioner's memory operation mode according to the air conditioner memory function operation instruction, and determine the current operation mode of the air conditioner in combination with the real-time external information of the air conditioner, so as to realize the intelligent determination of the air conditioner operation mode.

[0084] It should be noted that Figure 1 The scenario diagram shown is only for showing the scenarios to which the intelligent method for determining the air conditioner operation mode is applicable, and the users (such as Xiao Ming) and the air conditioner involved are only shown schematically. Figure 1 The scene diagram shown does not limit this. The above describes the scene to which the intelligent determination method of the air conditioner operation mode is applicable, and the following describes the intelligent determination method and device of the air conditioner operation mode in detail.

[0085] Embodiment 1

[0086] See also Figure 2 , Figure 2 1 is a flow chart of an intelligent method for determining an air conditioner operation mode disclosed in an embodiment of the present invention. Figure 2 The described intelligent determination method of the air-conditioning operation mode can be applied to an intelligent determination device for the air-conditioning operation mode, wherein the intelligent determination device for the air-conditioning operation mode may include an intelligent device for determining the air-conditioning operation mode, and the intelligent device may include any one of a user device, a smart chip, an intelligent server or an intelligent platform. The user device includes but is not limited to at least one of a smart phone (Android phone, iOS phone, etc.), a smart phone watch, and a smart home device (such as: a smart refrigerator device, a smart speaker, a smart TV, a smart range hood device, etc.), and the intelligent server includes a local server or a cloud server, which is not limited in the embodiments of the present invention.

[0087] like Figure 2 As shown, the intelligent determination method of the air conditioner operation mode may include the following operations:

[0088] 101. When an air conditioner memory function operation instruction is received, at least one memory operation mode of the air conditioner within a preset time period and historical external information corresponding to each memory operation mode are obtained.

[0089] In an embodiment of the present invention, optionally, an air conditioning memory function operation instruction can be used to control the air conditioning to execute the air conditioning memory function. The air conditioning memory function operation instruction can be sent by a user to the air conditioning, or it can be automatically acquired according to the user's settings when the air conditioning is turned on. The user can send the air conditioning memory function operation instruction to the air conditioner through an air conditioning control device. The air conditioning control device can include an air conditioning remote control or a smart mobile device, such as a smart phone. Alternatively, the user can send the air conditioning memory function operation instruction to the air conditioner through voice or body movements. For example, the user can speak preset voice text to the air conditioner or a preset voice receiver to send the air conditioning memory function operation instruction to the air conditioner. The user can also make preset body movements, such as preset gestures, to the air conditioner or a preset body movement receiver to send the air conditioning memory function operation instruction to the air conditioner. The present invention is not limited to this.

[0090] In an embodiment of the present invention, optionally, the preset time period can be calculated from the time the air conditioner is turned on or off. For example, when the air conditioner changes from an off state to an on state, the preset time period can be the time period before the air conditioner enters the off state. When the air conditioner is in the on state and receives an air conditioner memory function operation instruction, the preset time period can be the time period before the air conditioner receives the air conditioner memory function operation instruction. The memory operation mode represents the operation mode of the air conditioner within the preset time period. The memory operation mode may include at least one of a cooling mode, a heating mode, a blowing mode, a humidification mode, and a drying mode. The historical external information corresponding to each memory operation mode may include at least one of time information, weather information, ambient temperature information, ambient humidity information, information on the number of users in the working area of ​​the air conditioner, set user voice trigger information, user status information, and user behavior action information. The present invention does not limit this.

[0091] 102. Determine real-time external information corresponding to the air conditioner, and calculate an application matching degree between the real-time external information and each memory operation mode according to the real-time external information and the historical external information corresponding to each memory operation mode.

[0092] In an embodiment of the present invention, optionally, the real-time external information corresponding to the air conditioner may include at least one of time information, real-time weather information, real-time ambient temperature information, real-time ambient humidity information, real-time user quantity information in the working area of ​​the air conditioner, set user voice trigger information, real-time user status information, and real-time user behavior action information. The application matching degree between the real-time external information and each memory operation mode can indicate the degree of difference between the real-time external information of the air conditioner and the historical external information of each memory operation mode. The greater the application matching degree between the real-time external information and each memory operation mode, the smaller the degree of difference between the real-time external information of the air conditioner and the historical external information of each memory operation mode. The present invention does not limit this.

[0093] 103. Determine a memory operation mode corresponding to an application matching degree that meets a preset application matching degree condition as a target memory operation mode, and determine a current operation mode of the air conditioner according to the target memory operation mode.

[0094] In an embodiment of the present invention, optionally, the application matching degree that satisfies the preset application matching degree condition may include an application matching degree greater than a preset application matching degree threshold, that is, determining that the application matching degree satisfies the preset application matching degree condition, that is, the memory operation mode corresponding to the application matching degree is used as the target memory operation mode, and the present invention does not limit this.

[0095] It can be seen that the implementation Figure 2 The described intelligent determination method of the air-conditioning operation mode can, when receiving the operation instruction of the air-conditioning memory function, obtain at least one memory operation mode of the air-conditioning within a preset time period and the historical external information corresponding to each memory operation mode, determine the real-time external information corresponding to the air-conditioning, and calculate the application matching degree between the real-time external information and each memory operation mode based on the real-time external information and the historical external information corresponding to each memory operation mode. It can screen the memory operation mode that best matches the real-time external information of the air-conditioning based on the application matching degree, improve the rationality of the target memory operation mode determined subsequently, determine the memory operation mode corresponding to the application matching degree that meets the preset application matching degree conditions as the target memory operation mode, and determine the current operation mode of the air-conditioner based on the target memory operation mode, while improving the matching accuracy between the determined current operation mode of the air-conditioning and the real-time external information, it can also improve the intelligence and determination efficiency of the operation of determining the current operation mode of the air-conditioner, thereby improving the user experience of the air-conditioner.

[0096] In an optional embodiment, after determining the current operating mode of the air conditioner according to the target memory operating mode, the intelligent determination method of the air conditioner operating mode may further include the following operations:

[0097] Analyze the predicted air output effect of the air conditioner according to the current operation mode of the air conditioner;

[0098] Determine the effect of the predicted air outlet effect on the comfort level of target users in the working area of ​​the air conditioner according to the predicted air outlet effect;

[0099] Determine the comfort range of the target user based on the real-time external information corresponding to the air conditioner;

[0100] It is determined whether the comfort level influence effect is within the comfort level range, and when it is determined that the comfort level influence effect is within the comfort level range, the air conditioner is controlled to operate according to the current operation mode.

[0101] In this optional embodiment, optionally, the predicted air outlet effect of the air conditioner may include one or more of predicted air volume, predicted air outlet temperature, predicted air outlet duration, predicted air outlet airflow arrival position, predicted air outlet airflow diffusion, and predicted air outlet airflow circulation convection conditions, etc. The predicted effect of the air outlet effect on the comfort of the target user in the working area of ​​the air conditioner may indicate the target user's perceived comfort when the target user uses the air conditioner according to the current operating mode of the air conditioner. The target user's perceived comfort may include temperature perceived comfort and humidity perceived comfort, which is not limited in this embodiment.

[0102] In this optional embodiment, optionally, the comfort range of the target user may include the comfort requirements of the target user under real-time external information corresponding to the air conditioner, and the comfort range may include a temperature comfort range and a humidity comfort range. When the comfort impact effect is within the comfort range, it means that the current operating mode of the air conditioner can meet the comfort requirements of the target user, which is not limited in this embodiment.

[0103] It can be seen that implementing this optional embodiment can analyze the predicted air outlet effect of the air conditioner according to the current operating mode of the air conditioner, and determine the influence of the predicted air outlet effect on the comfort of the target user in the working area of ​​the air conditioner according to the predicted air outlet effect, and determine the comfort range of the target user according to the real-time external information corresponding to the air conditioner. It can determine the influence on the user's comfort according to the predicted air outlet effect corresponding to the current operating mode of the air conditioner, thereby improving the accuracy of the determined comfort influence effect, and judging whether the comfort influence effect is within the comfort range. When it is judged that the comfort influence effect is within the comfort range, the air conditioner is controlled to operate according to the current operating mode, and it can determine whether the current operating mode of the air conditioner can meet the user's comfort requirements, thereby improving the rationality and accuracy of the determined current operating mode, and improving the user's air-conditioning usage experience.

[0104] In another optional embodiment, according to the predicted air outlet effect, determining the effect of the predicted air outlet effect on the comfort level of the target user in the working area of ​​the air conditioner may include the following operations:

[0105] Determine the air conditioning output demand parameters of the target user based on the real-time user parameters corresponding to the air conditioner;

[0106] Obtain the target user's historical air conditioning usage data, and determine the comfort reference coefficient based on the historical air conditioning usage data;

[0107] According to the air-conditioning air outlet demand parameters and the comfort reference coefficient, the effect of the predicted air outlet effect on the comfort of the target users is determined.

[0108] In this optional embodiment, optionally, the real-time user parameters corresponding to the air conditioner may include one or more of the real-time number of users, real-time user age, real-time user physical condition, real-time user location, real-time user sleep status, real-time user concentration, real-time user temperature, real-time user action, real-time user voice, etc., and the air conditioning outlet demand parameters of the target user may include one or more of the outlet volume demand parameters, outlet temperature demand parameters, outlet duration demand parameters, outlet airflow arrival position demand parameters, outlet airflow diffusion demand parameters and outlet airflow circulation convection demand parameters, etc., which are not limited in this embodiment.

[0109] In this optional embodiment, optionally, the target user's air conditioner historical usage data may include at least one of the target user's air conditioner historical usage pattern, average air conditioner historical usage duration, air conditioner historical operating conditions, and the relationship between the air conditioner historical operating conditions and user comfort, and the comfort reference coefficient includes the correspondence between the air outlet effect of the air conditioner and the user's perceived comfort. The comfort influence effect may indicate the perceived comfort of the target user when the target user uses the air conditioner according to the current operating mode of the air conditioner. The perceived comfort of the target user may include temperature perceived comfort and humidity perceived comfort, which is not limited in this embodiment.

[0110] It can be seen that the implementation of this optional embodiment can determine the air conditioning outlet demand parameters of the target user according to the real-time user parameters corresponding to the air conditioner, obtain the target user's air conditioning historical usage data, and determine the comfort reference coefficient according to the air conditioning historical usage data, and determine the predicted air outlet effect on the target user's comfort according to the air conditioning outlet demand parameters and the comfort reference coefficient. The predicted air outlet effect on the target user's comfort can be determined in combination with the target user's air conditioning outlet demand parameters and the comfort reference coefficient, thereby improving the accuracy and reliability of the determined comfort effect, and thereby improving the accuracy and efficiency of judging whether the comfort effect is within the comfort range, and thereby improving the degree of match between the determined current operating mode and the target user.

[0111] In yet another optional embodiment, the air conditioning outlet demand parameter of the target user includes an air conditioning outlet volume demand parameter and an air conditioning outlet temperature demand parameter;

[0112] According to the real-time user parameters corresponding to the air conditioner, determining the air outlet demand parameters of the target user may include the following operations:

[0113] Determine the location parameters and state parameters of the target user according to the real-time user parameters corresponding to the air conditioner;

[0114] According to the location parameters of the target user, the wind arrival point corresponding to the target user is analyzed, and the air conditioning air volume demand parameters of the target user are determined according to the wind arrival point;

[0115] The air outlet temperature requirement parameters of the air conditioner for the target user are determined according to the state parameters of the target user and the real-time environmental parameters corresponding to the air conditioner.

[0116] In this optional embodiment, optionally, the air conditioning outlet demand parameters of the target user may include air conditioning outlet volume demand parameters and air conditioning outlet temperature demand parameters, and may also include one or more of air outlet duration demand parameters, outlet airflow arrival position demand parameters, outlet airflow diffusion demand parameters, and outlet airflow circulation convection demand parameters, etc. The real-time user parameters may include one or more of the real-time user number, real-time user age, real-time user physical condition, real-time user location, real-time user sleep status, real-time user concentration, real-time user temperature, real-time user action, real-time user voice, etc. The status parameters of the target user may include the health status parameters and / or sleep status parameters of the target user, which are not limited in this embodiment.

[0117] In this optional embodiment, optionally, the wind arrival point corresponding to the target user is used to represent the wind arrival area of ​​the target user's location, the target user's air conditioning outlet volume demand parameter can be used to control the air conditioning outlet volume and wind force to cover the wind arrival point corresponding to the target user, and the target user's air conditioning outlet temperature demand parameter can be used to control the air conditioning outlet temperature to meet the target user's body temperature demand, which is not limited in this embodiment.

[0118] It can be seen that the implementation of this optional embodiment can determine the location parameters and state parameters of the target user according to the real-time user parameters corresponding to the air conditioner, analyze the wind arrival point corresponding to the target user according to the location parameters of the target user, and determine the air conditioning air volume demand parameters of the target user according to the wind arrival point, and determine the air conditioning air outlet temperature demand parameters of the target user according to the state parameters of the target user and the real-time environmental parameters corresponding to the air conditioner, which can improve the accuracy and reliability of the determined air outlet demand parameters of the target user, and further improve the accuracy and reliability of determining the comfort impact effect.

[0119] In yet another optional embodiment, the intelligent determination method of the air conditioner operation mode may further include the following operations:

[0120] When it is determined that the comfort impact effect is outside the comfort range, a first demand weight coefficient corresponding to the air conditioning air volume demand parameter of the target user and a second demand weight coefficient corresponding to the air conditioning air outlet temperature demand parameter of the target user are determined according to the air conditioning historical usage data of the target user;

[0121] An air conditioning mode update parameter is generated according to the air conditioning air volume demand parameter, the first demand weight coefficient, the air conditioning air temperature demand parameter and the second demand weight coefficient, and the current operation mode of the air conditioner is updated according to the air conditioning mode update parameter.

[0122] In this optional embodiment, optionally, the target user's air conditioner historical usage data may include at least one of the target user's air conditioner historical usage pattern, average historical air conditioner usage duration, air conditioner historical operating conditions, and the relationship between the air conditioner historical operating conditions and user comfort. The first demand weight coefficient corresponding to the target user's air conditioner outlet volume demand parameter and the second demand weight coefficient corresponding to the air conditioner outlet temperature demand parameter can respectively indicate the demand urgency corresponding to the air conditioner outlet volume demand parameter and the air conditioner outlet temperature demand parameter, that is, the larger the weight coefficient, the greater the demand urgency of the corresponding parameter. The air conditioner mode update parameter can be used to change the current operating mode of the air conditioner, and can also be used to adjust the operating parameters of the air conditioner when it is running in the current operating mode, which is not limited in this embodiment.

[0123] It can be seen that the implementation of this optional embodiment can determine the first demand weight coefficient corresponding to the air conditioning air volume demand parameter of the target user and the second demand weight coefficient corresponding to the air conditioning outlet temperature demand parameter according to the air conditioning historical usage data of the target user when it is judged that the comfort influencing effect is outside the comfort range, generate air conditioning mode update parameters according to the air conditioning outlet volume demand parameters, the first demand weight coefficient, the air conditioning outlet temperature demand parameters and the second demand weight coefficient, and update the current operating mode of the air conditioner according to the air conditioning mode update parameters, and can determine the weights corresponding to the outlet demand parameters according to the air conditioning historical usage data of the target user when the comfort influencing effect is outside the comfort range, and further update the current operating mode according to the outlet demand parameters and the corresponding weights, thereby improving the matching degree between the current operating mode and the target user's needs, and improving the accuracy and intelligence of determining the current operating mode, thereby improving the user's air conditioning usage experience.

[0124] Embodiment 2

[0125] See also Figure 3 , Figure 3 1 is a flow chart of an intelligent method for determining an air conditioner operation mode disclosed in an embodiment of the present invention. Figure 3The described intelligent determination method of the air-conditioning operation mode can be applied to an intelligent determination device for the air-conditioning operation mode, wherein the intelligent determination device for the air-conditioning operation mode may include an intelligent device for determining the air-conditioning operation mode, and the intelligent device may include any one of a user device, a smart chip, an intelligent server or an intelligent platform. The user device includes but is not limited to at least one of a smart phone (Android phone, iOS phone, etc.), a smart phone watch, and a smart home device (such as: a smart refrigerator device, a smart speaker, a smart TV, a smart range hood device, etc.), and the intelligent server includes a local server or a cloud server, which is not limited in the embodiments of the present invention.

[0126] like Figure 3 As shown, the intelligent determination method of the air conditioner operation mode may include the following operations:

[0127] 201. When an air conditioner memory function operation instruction is received, at least one memory operation mode of the air conditioner within a preset time period and historical external information corresponding to each memory operation mode are obtained.

[0128] 202. Determine real-time external information corresponding to the air conditioner, and determine historical environmental parameters and historical user parameters corresponding to each memory operation mode based on historical external information corresponding to each memory operation mode.

[0129] In an embodiment of the present invention, optionally, historical environmental parameters may include one or more of historical meteorological parameters, historical environmental temperature parameters, historical environmental humidity parameters, equipment parameters in the historical environment, etc., and historical user parameters may include one or more of historical user quantity parameters, historical user status parameters, historical user voice parameters, historical user action parameters, historical user comfort parameters, historical user cold and heat perception parameters, etc., and the present invention is not limited thereto.

[0130] 203. Determine real-time environmental parameters and real-time user parameters corresponding to the air conditioner according to real-time external information corresponding to the air conditioner.

[0131] In an embodiment of the present invention, optionally, the real-time environmental parameters may include one or more of real-time meteorological parameters, real-time environmental temperature parameters, real-time environmental humidity parameters, equipment parameters in the real-time environment, etc., and the real-time user parameters may include one or more of real-time user quantity parameters, real-time user status parameters, real-time user voice parameters, real-time user action parameters, real-time user comfort parameters, real-time user cold and heat perception parameters, etc., and the present invention is not limited thereto.

[0132] 204. Calculate a first matching degree between the real-time environment parameters corresponding to the air conditioner and the historical environment parameters corresponding to each memory operation mode, and calculate a second matching degree between the real-time user parameters corresponding to the air conditioner and the historical user parameters corresponding to each memory operation mode.

[0133] In an embodiment of the present invention, optionally, a first matching degree between the real-time environment parameters and the historical environment parameters corresponding to each memory operation mode can represent a first degree of difference between the real-time environment parameters and the historical environment parameters of each memory operation mode. The greater the first matching degree between the real-time environment parameters and the historical environment parameters corresponding to each memory operation mode, the smaller the first degree of difference between the real-time environment parameters and the historical environment parameters of each memory operation mode. The second matching degree between the real-time user parameters and the historical user parameters corresponding to each memory operation mode can represent a second degree of difference between the real-time user parameters and the historical user parameters corresponding to each memory operation mode. The greater the second matching degree between the real-time user parameters and the historical user parameters corresponding to each memory operation mode, the smaller the second degree of difference between the real-time user parameters and the historical user parameters corresponding to each memory operation mode. The present invention does not make any limitation.

[0134] 205. Calculate the application matching degree between the real-time external information and each memory operation mode according to the first matching degree and the second matching degree.

[0135] In an embodiment of the present invention, optionally, a weighted average between the first matching degree and the second matching degree can be calculated to determine the application matching degree between the real-time external information and each memory operation mode, and a first weight corresponding to the first matching degree and a second weight corresponding to the second matching degree can also be determined, and the application matching degree between the real-time external information and each memory operation mode can be calculated based on the first matching degree, the first weight, the second matching degree and the second weight, which is not limited by the present invention.

[0136] 206. Determine a memory operation mode corresponding to an application matching degree that meets a preset application matching degree condition as a target memory operation mode, and determine a current operation mode of the air conditioner according to the target memory operation mode.

[0137] In the embodiment of the present invention, for other descriptions of step 201 and step 206, please refer to the detailed description of step 101 and step 103 in the first embodiment, and the embodiment of the present invention will not be repeated.

[0138] It can be seen that implementation Figure 3The described intelligent determination method of the air conditioner operation mode can, when receiving an air conditioner memory function operation instruction, obtain at least one memory operation mode of the air conditioner within a preset time period and historical external information corresponding to each memory operation mode, determine historical environmental parameters and historical user parameters according to the historical external information, determine real-time environmental parameters and real-time user parameters according to real-time external information, and calculate a first matching degree between the real-time environmental parameters and the historical environmental parameters and a second matching degree between the real-time user parameters and the historical user parameters. According to the first matching degree and the second matching degree, the application matching degree between the real-time external information and each memory operation mode is calculated, which can improve the accuracy of the determined application matching degree and the ability of the application matching degree to reflect the difference between the real-time external information and each memory operation mode, determine the memory operation mode corresponding to the application matching degree that meets the preset application matching degree conditions as the target memory operation mode, and determine the current operation mode of the air conditioner according to the target memory operation mode, while improving the matching accuracy between the determined current operation mode of the air conditioner and the real-time external information, it can improve the intelligence and determination efficiency of the operation of determining the current operation mode of the air conditioner, thereby improving the user experience of the air conditioner.

[0139] In an optional embodiment, according to the target memory operation mode, determining the current operation mode of the air conditioner may include the following operations:

[0140] Calculate first parameter change information between the historical environmental parameters and the real-time environmental parameters according to the historical environmental parameters corresponding to the target memory operation mode and the real-time environmental parameters corresponding to the air conditioner;

[0141] Calculate second parameter change information between the historical user parameters and the real-time user parameters according to the historical user parameters corresponding to the target memory operation mode and the real-time user parameters corresponding to the air conditioner;

[0142] The current operation mode of the air conditioner is determined according to the first parameter change information, the second parameter change information and the target memory operation mode.

[0143] In this optional embodiment, optionally, the historical environmental parameters may include one or more of historical meteorological parameters, historical environmental temperature parameters, historical environmental humidity parameters, equipment parameters in the historical environment, etc., the real-time environmental parameters may include one or more of real-time meteorological parameters, real-time environmental temperature parameters, real-time environmental humidity parameters, equipment parameters in the real-time environment, etc., and the first parameter change information may include one or more of meteorological parameter change information, environmental temperature parameter change information, environmental humidity parameter change information, equipment parameter change information in the environment, etc., which is not limited in this embodiment.

[0144] In this optional embodiment, optionally, the historical user parameters may include one or more of historical user quantity parameters, historical user status parameters, historical user voice parameters, historical user action parameters, historical user comfort parameters, historical user cold and heat perception parameters, etc., the real-time user parameters may include one or more of real-time user quantity parameters, real-time user status parameters, real-time user voice parameters, real-time user action parameters, real-time user comfort parameters, real-time user cold and heat perception parameters, etc., the second parameter change information may include one or more of user quantity parameter change information, user status parameter change information, user voice parameter change information, user action parameter change information, user comfort parameter change information, user cold and heat perception parameter change information, etc., and this embodiment does not limit this.

[0145] It can be seen that the implementation of this optional embodiment can calculate the first parameter change information between the historical environmental parameters and the real-time environmental parameters according to the historical environmental parameters corresponding to the target memory operation mode and the real-time environmental parameters corresponding to the air conditioner, and calculate the second parameter change information between the historical user parameters and the real-time user parameters according to the historical user parameters corresponding to the target memory operation mode and the real-time user parameters corresponding to the air conditioner. This can improve the accuracy of the parameter difference between the real-time parameters and the historical parameters of the air conditioner, and thus can reflect the changes in the information before and after the air conditioner. The current operation mode of the air conditioner is determined according to the first parameter change information, the second parameter change information and the target memory operation mode. The current operation mode of the air conditioner can be determined based on the target memory operation mode and the changes in the information before and after the air conditioner. While improving the efficiency of determining the current operation mode, it can make the current operation mode of the air conditioner fit with the real-time external information of the air conditioner, thereby improving the fit between the current operation mode and the needs of the target user, and improving the user's experience of using the air conditioner.

[0146] In another optional embodiment, after determining the current operating mode of the air conditioner according to the target memory operating mode, the intelligent determination method of the air conditioner operating mode may further include the following operations:

[0147] Determine device information of smart devices within the working range of the air conditioner according to real-time external information of the air conditioner;

[0148] Determine the impact parameter of the current operation mode of the air conditioner on the operation of the smart device according to the current operation mode of the air conditioner and the real-time environmental parameters;

[0149] And control the smart devices according to the parameters affecting the operation of the devices.

[0150] In this optional embodiment, optionally, the device information of the smart device may include one or more of the smart device operating time information, the smart device operating power consumption information, the smart device operating heat information, the smart device operating heat absorption information, the smart device operating temperature requirement information, the smart device operating dryness requirement information, etc. The device operation influencing parameters represent the impact parameters of the current operating mode of the air conditioner on the operating information of the smart device. Specifically, the device operation influencing parameters may include one or more of the device operation power consumption influencing parameters, the device operation heat generation or heat absorption influencing parameters, the device operation temperature influencing parameters, the device operation dryness influencing parameters, etc., which are not limited in this embodiment.

[0151] It can be seen that the implementation of this optional embodiment can determine the device information of the smart devices within the working range of the air conditioner according to the real-time external information of the air conditioner, determine the device operation impact parameters of the smart devices caused by the current operating mode of the air conditioner according to the current operating mode of the air conditioner and real-time environmental parameters, and perform device control on the smart devices according to the device operation impact parameters, which can reduce the degree of impact of the determined current operating mode of the air conditioner on the operation of the smart devices in the working area of ​​the air conditioner, thereby improving the air conditioning usage experience of the target users.

[0152] Embodiment 3

[0153] See also Figure 4 , Figure 4 1 is a schematic diagram of the structure of an intelligent device for determining the operation mode of an air conditioner disclosed in an embodiment of the present invention. Figure 4 The described intelligent determination device of the air-conditioning operation mode may include an intelligent device for determining the air-conditioning operation mode, and the intelligent device may include any one of a user device, a smart chip, an intelligent server or an intelligent platform. The user device includes but is not limited to at least one of a smart phone (Android phone, iOS phone, etc.), a smart phone watch, and a smart home device (such as: a smart refrigerator device, a smart speaker, a smart TV, a smart range hood device, etc.), etc. The intelligent server includes a local server or a cloud server, which is not limited in the embodiments of the present invention. Figure 4 As shown, the intelligent determination device of the air-conditioning operation mode may include:

[0154] The acquisition module 301 is used to acquire at least one memory operation mode of the air conditioner within a preset time period and historical external information corresponding to each memory operation mode when receiving an air conditioner memory function operation instruction;

[0155] A first determination module 302 is used to determine the real-time external information corresponding to the air conditioner, and calculate the application matching degree between the real-time external information and each memory operation mode according to the real-time external information and the historical external information corresponding to each memory operation mode;

[0156] The second determination module 303 is used to determine a memory operation mode corresponding to an application matching degree that meets a preset application matching degree condition as a target memory operation mode, and determine a current operation mode of the air conditioner according to the target memory operation mode.

[0157] It can be seen that implementation Figure 4 The described intelligent determination device for the air-conditioning operation mode can, when receiving an operation instruction of the air-conditioning memory function, obtain at least one memory operation mode of the air-conditioning within a preset time period and the historical external information corresponding to each memory operation mode, determine the real-time external information corresponding to the air-conditioning, and calculate the application matching degree between the real-time external information and each memory operation mode based on the real-time external information and the historical external information corresponding to each memory operation mode. It can screen the memory operation mode that best matches the real-time external information of the air-conditioning based on the application matching degree, improve the rationality of the target memory operation mode determined subsequently, determine the memory operation mode corresponding to the application matching degree that meets the preset application matching degree conditions as the target memory operation mode, and determine the current operation mode of the air-conditioner based on the target memory operation mode, thereby improving the matching accuracy between the determined current operation mode of the air-conditioning and the real-time external information, and at the same time, can improve the intelligence and determination efficiency of the operation of determining the current operation mode of the air-conditioner, thereby improving the user experience of the air-conditioner.

[0158] In an optional embodiment, if Figure 5 As shown, the specific manner in which the first determination module 302 calculates the application matching degree between the real-time external information and each memory operation mode according to the real-time external information and the historical external information corresponding to each memory operation mode includes:

[0159] Determine the historical environment parameters and historical user parameters corresponding to each memory operation mode according to the historical external information corresponding to each memory operation mode;

[0160] Determine the real-time environmental parameters and real-time user parameters corresponding to the air conditioner according to the real-time external information corresponding to the air conditioner;

[0161] Calculating a first matching degree between the real-time environmental parameters corresponding to the air conditioner and the historical environmental parameters corresponding to each memory operation mode, and calculating a second matching degree between the real-time user parameters corresponding to the air conditioner and the historical user parameters corresponding to each memory operation mode;

[0162] The application matching degree between the real-time external information and each memory operation mode is calculated according to the first matching degree and the second matching degree.

[0163] It can be seen that implementation Figure 5The described intelligent determination device for the air-conditioning operation mode can, when receiving an operation instruction of the air-conditioning memory function, obtain at least one memory operation mode of the air-conditioning within a preset time period and the historical external information corresponding to each memory operation mode, determine the historical environment parameters and the historical user parameters according to the historical external information, determine the real-time environment parameters and the real-time user parameters according to the real-time external information, and calculate the first matching degree between the real-time environment parameters and the historical environment parameters and the second matching degree between the real-time user parameters and the historical user parameters. According to the first matching degree and the second matching degree, the application matching degree between the real-time external information and each memory operation mode is calculated, which can improve the accuracy of the determined application matching degree and the ability of the application matching degree to reflect the difference between the real-time external information and each memory operation mode, determine the memory operation mode corresponding to the application matching degree that meets the preset application matching degree conditions as the target memory operation mode, and determine the current operation mode of the air-conditioner according to the target memory operation mode, while improving the matching accuracy between the determined current operation mode of the air-conditioner and the real-time external information, it can improve the intelligence and determination efficiency of the operation of determining the current operation mode of the air-conditioner, thereby improving the user experience of the air-conditioner.

[0164] In another optional embodiment, Figure 5 As shown, the second determination module 303 determines the current operation mode of the air conditioner according to the target memory operation mode in the following specific manners:

[0165] Calculate first parameter change information between the historical environmental parameters and the real-time environmental parameters according to the historical environmental parameters corresponding to the target memory operation mode and the real-time environmental parameters corresponding to the air conditioner;

[0166] Calculate second parameter change information between the historical user parameters and the real-time user parameters according to the historical user parameters corresponding to the target memory operation mode and the real-time user parameters corresponding to the air conditioner;

[0167] The current operation mode of the air conditioner is determined according to the first parameter change information, the second parameter change information and the target memory operation mode.

[0168] It can be seen that the implementation Figure 5The described intelligent determination device for the air-conditioning operation mode can calculate the first parameter change information between the historical environment parameters and the real-time environment parameters according to the historical environment parameters corresponding to the target memory operation mode and the real-time environment parameters corresponding to the air-conditioning, and calculate the second parameter change information between the historical user parameters and the real-time user parameters according to the historical user parameters corresponding to the target memory operation mode and the real-time user parameters corresponding to the air-conditioning. This can improve the accuracy of the parameter difference between the determined real-time parameters and the historical parameters of the air-conditioning, and thus can reflect the changes in the information before and after the air-conditioning. The current operation mode of the air-conditioner is determined according to the first parameter change information, the second parameter change information and the target memory operation mode. The current operation mode of the air-conditioner can be determined based on the target memory operation mode and the changes in the information before and after the air-conditioning. This improves the determination efficiency of the current operation mode and enables the current operation mode of the air-conditioner to fit with the real-time external information of the air-conditioner, thereby improving the fit between the current operation mode and the needs of the target user and improving the user's experience of using the air-conditioner.

[0169] In yet another optional embodiment, Figure 5 As shown, the intelligent determination device of the air-conditioning operation mode may also include:

[0170] An analysis module 304 is used to analyze the predicted air output effect of the air conditioner according to the current operation mode of the air conditioner after the second determination module determines the current operation mode of the air conditioner according to the target memory operation mode;

[0171] The first determination module 302 is further used to determine the effect of the predicted air outlet effect on the comfort of the target user in the working area of ​​the air conditioner according to the predicted air outlet effect;

[0172] The first determination module 302 is further used to determine the comfort range of the target user according to the real-time external information corresponding to the air conditioner;

[0173] The judgment module 305 is used to judge whether the comfort influence effect is within the comfort range. When it is judged that the comfort influence effect is within the comfort range, the air conditioner is controlled to operate according to the current operation mode.

[0174] It can be seen that the implementation Figure 5The described intelligent determination device for the air-conditioning operating mode can analyze the predicted air outlet effect of the air-conditioner according to the current operating mode of the air-conditioner, and determine the influence of the predicted air outlet effect on the comfort of the target user in the working area of ​​the air-conditioner according to the predicted air outlet effect, and determine the comfort range of the target user according to the real-time external information corresponding to the air-conditioner. It can determine the influence on the user's comfort according to the predicted air outlet effect corresponding to the current operating mode of the air-conditioner, thereby improving the accuracy of the determined comfort influence effect, and judging whether the comfort influence effect is within the comfort range. When it is judged that the comfort influence effect is within the comfort range, the air-conditioner is controlled to operate according to the current operating mode, and it can determine whether the current operating mode of the air-conditioner can meet the user's comfort requirements, thereby improving the rationality and accuracy of the determined current operating mode, and improving the user's air-conditioning usage experience.

[0175] In yet another optional embodiment, Figure 5 As shown, the first determination module 302 determines the effect of the predicted air outlet effect on the comfort of the target user in the working area of ​​the air conditioner according to the predicted air outlet effect. The specific manner includes:

[0176] Determine the air conditioning output demand parameters of the target user based on the real-time user parameters corresponding to the air conditioner;

[0177] Obtain the target user's historical air conditioning usage data, and determine the comfort reference coefficient based on the historical air conditioning usage data;

[0178] According to the air-conditioning air outlet demand parameters and the comfort reference coefficient, the effect of the predicted air outlet effect on the comfort of the target users is determined.

[0179] It can be seen that the implementation Figure 5 The described intelligent determination device for the air-conditioning operation mode can determine the air-conditioning air outlet demand parameters of the target user according to the real-time user parameters corresponding to the air-conditioner, obtain the target user's historical air-conditioning usage data, and determine the comfort reference coefficient according to the air-conditioning historical usage data, and determine the predicted air outlet effect on the comfort influence of the target user according to the air-conditioning air outlet demand parameters and the comfort reference coefficient, and can determine the predicted air outlet effect on the comfort influence of the target user in combination with the air-conditioning air outlet demand parameters and the comfort reference coefficient of the target user, thereby improving the accuracy and reliability of the determined comfort influence effect, and furthermore, can improve the accuracy and efficiency of judging whether the comfort influence effect is within the comfort range, and furthermore, can improve the matching degree between the determined current operation mode and the target user.

[0180] In yet another optional embodiment, Figure 5 As shown, the air conditioning outlet demand parameters of the target user include the air conditioning outlet volume demand parameters and the air conditioning outlet temperature demand parameters;

[0181] The first determination module 302 determines the air outlet demand parameter of the target user according to the real-time user parameter corresponding to the air conditioner in a specific manner including:

[0182] Determine the location parameters and state parameters of the target user according to the real-time user parameters corresponding to the air conditioner;

[0183] According to the location parameters of the target user, the wind arrival point corresponding to the target user is analyzed, and the air conditioning air volume demand parameters of the target user are determined according to the wind arrival point;

[0184] The air outlet temperature requirement parameters of the air conditioner for the target user are determined according to the state parameters of the target user and the real-time environmental parameters corresponding to the air conditioner.

[0185] It can be seen that the implementation Figure 5 The described intelligent determination device for the air-conditioning operation mode can determine the location parameters and state parameters of the target user based on the real-time user parameters corresponding to the air-conditioning, analyze the wind arrival point corresponding to the target user based on the location parameters of the target user, and determine the air-conditioning air volume demand parameters of the target user based on the wind arrival point, and determine the air-conditioning air outlet temperature demand parameters of the target user based on the state parameters of the target user and the real-time environmental parameters corresponding to the air-conditioning, which can improve the accuracy and reliability of the determined air outlet demand parameters of the target user, and thereby improve the accuracy and reliability of determining the comfort impact effect.

[0186] In yet another optional embodiment, Figure 5 As shown, the intelligent determination device of the air-conditioning operation mode may also include:

[0187] The third determination module 306 is used to determine the first demand weight coefficient corresponding to the air conditioning air volume demand parameter of the target user and the second demand weight coefficient corresponding to the air conditioning outlet temperature demand parameter of the target user according to the air conditioning historical usage data of the target user when the judgment module 305 determines that the comfort impact effect is outside the comfort range;

[0188] The generation module 307 is used to generate an air conditioning mode update parameter according to the air conditioning air volume demand parameter, the first demand weight coefficient, the air conditioning air temperature demand parameter and the second demand weight coefficient, and update the current operation mode of the air conditioner according to the air conditioning mode update parameter.

[0189] It can be seen that the implementation Figure 5The described intelligent determination device for the air-conditioning operation mode can, when it is judged that the comfort influencing effect is outside the comfort range, determine the first demand weight coefficient corresponding to the air-conditioning air volume demand parameter of the target user and the second demand weight coefficient corresponding to the air-conditioning outlet air temperature demand parameter according to the air-conditioning historical usage data of the target user, generate air-conditioning mode update parameters according to the air-conditioning outlet air volume demand parameter, the first demand weight coefficient, the air-conditioning outlet air temperature demand parameter and the second demand weight coefficient, and update the current operation mode of the air conditioner according to the air-conditioning mode update parameters, and can determine the weight corresponding to the outlet air demand parameter according to the air-conditioning historical usage data of the target user when the comfort influencing effect is outside the comfort range, and further update the current operation mode according to the outlet air demand parameter and the corresponding weight, thereby improving the matching degree between the current operation mode and the target user's needs, and improving the accuracy and intelligence of determining the current operation mode, thereby improving the user's air-conditioning usage experience.

[0190] Embodiment 4

[0191] See also Figure 6 , Figure 6 FIG. 1 is a schematic diagram of the structure of another intelligent device for determining the operation mode of an air conditioner disclosed in an embodiment of the present invention. Figure 6 As shown, the intelligent determination device of the air-conditioning operation mode may include:

[0192] A memory 401 storing executable program codes;

[0193] a processor 402 coupled to the memory 401;

[0194] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the intelligent method for determining the air-conditioning operation mode described in the first embodiment of the present invention or the second embodiment of the present invention.

[0195] Embodiment 5

[0196] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the intelligent determination method of the air conditioning operation mode described in Embodiment 1 or Embodiment 2 of the present invention.

[0197] Embodiment 6

[0198] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the intelligent determination method of the air conditioning operation mode described in Example 1 or Example 2.

[0199] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0200] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0201] Finally, it should be noted that the intelligent method and device for determining the operating mode of an air conditioner disclosed in the embodiment of the present invention discloses only the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An intelligent method for determining an air conditioner operation mode, characterized in that: The method comprises: When receiving an air conditioner memory function operation instruction, obtaining at least one memory operation mode of the air conditioner within a preset time period and historical external information corresponding to each memory operation mode; Determine the real-time external information corresponding to the air conditioner, and calculate the application matching degree between the real-time external information and each of the memory operation modes according to the real-time external information and the historical external information corresponding to each of the memory operation modes; A memory operation mode corresponding to an application matching degree that meets a preset application matching degree condition is determined as a target memory operation mode, and a current operation mode of the air conditioner is determined according to the target memory operation mode.

2. The intelligent determination method of the air conditioning operation mode according to claim 1, characterized in that: The calculating the application matching degree between the real-time external information and each of the memory operation modes according to the real-time external information and the historical external information corresponding to each of the memory operation modes includes: Determine the historical environment parameters and historical user parameters corresponding to each of the memory operation modes according to the historical external information corresponding to each of the memory operation modes; Determining real-time environmental parameters and real-time user parameters corresponding to the air conditioner according to real-time external information corresponding to the air conditioner; Calculating a first matching degree between the real-time environmental parameters corresponding to the air conditioner and the historical environmental parameters corresponding to each of the memory operation modes, and calculating a second matching degree between the real-time user parameters corresponding to the air conditioner and the historical user parameters corresponding to each of the memory operation modes; The application matching degree between the real-time external information and each of the memory operation modes is calculated according to the first matching degree and the second matching degree.

3. The intelligent determination method of the air conditioning operation mode according to claim 2, characterized in that: The step of determining the current operating mode of the air conditioner according to the target memory operating mode includes: Calculating first parameter change information between the historical environmental parameters and the real-time environmental parameters according to the historical environmental parameters corresponding to the target memory operation mode and the real-time environmental parameters corresponding to the air conditioner; Calculating second parameter change information between the historical user parameters and the real-time user parameters according to the historical user parameters corresponding to the target memory operation mode and the real-time user parameters corresponding to the air conditioner; The current operation mode of the air conditioner is determined according to the first parameter change information, the second parameter change information and the target memory operation mode.

4. The intelligent determination method of the air conditioning operation mode according to claim 2 or 3, characterized in that: After determining the current operating mode of the air conditioner according to the target memorized operating mode, the method further includes: Analyzing the predicted air output effect of the air conditioner according to the current operation mode of the air conditioner; Determining, based on the predicted air outlet effect, the effect of the predicted air outlet effect on the comfort level of a target user in the working area of ​​the air conditioner; Determining the comfort range of the target user according to the real-time external information corresponding to the air conditioner; It is determined whether the comfort level influence effect is within the comfort level range, and when it is determined that the comfort level influence effect is within the comfort level range, the air conditioner is controlled to operate according to the current operation mode.

5. The intelligent determination method of the air conditioning operation mode according to claim 4, characterized in that: Determining, according to the predicted air outlet effect, the effect of the predicted air outlet effect on the comfort level of a target user in the working area of ​​the air conditioner, includes: Determining the air conditioner output demand parameter of the target user according to the real-time user parameter corresponding to the air conditioner; Acquire historical air-conditioning usage data of the target user, and determine a comfort reference coefficient according to the historical air-conditioning usage data; The effect of the predicted air outlet effect on the comfort level of the target user is determined according to the air conditioning air outlet demand parameter and the comfort level reference coefficient.

6. The intelligent determination method of air-conditioning operation mode according to claim 5, characterized in that: The target user's air conditioning outlet demand parameters include air conditioning outlet volume demand parameters and air conditioning outlet temperature demand parameters; The step of determining the air conditioner air output demand parameter of the target user according to the real-time user parameter corresponding to the air conditioner includes: Determining the location parameters and state parameters of the target user according to the real-time user parameters corresponding to the air conditioner; Analyzing the wind force arrival point corresponding to the target user according to the location parameters of the target user, and determining the air conditioning air volume demand parameter of the target user according to the wind force arrival point; The air outlet temperature requirement parameter of the air conditioner of the target user is determined according to the state parameter of the target user and the real-time environmental parameter corresponding to the air conditioner.

7. The intelligent determination method of the air conditioning operation mode according to claim 6, characterized in that: The method further comprises: When it is determined that the comfort level influence effect is outside the comfort level range, determining a first demand weight coefficient corresponding to the air conditioning air volume demand parameter of the target user and a second demand weight coefficient corresponding to the air conditioning air outlet temperature demand parameter of the target user according to the air conditioning historical usage data of the target user; An air conditioning mode update parameter is generated according to the air conditioning air volume demand parameter, the first demand weight coefficient, the air conditioning air temperature demand parameter and the second demand weight coefficient, and the current operation mode of the air conditioner is updated according to the air conditioning mode update parameter.

8. An intelligent device for determining an air conditioner operation mode, characterized in that: The device comprises: an acquisition module, for acquiring at least one memory operation mode of the air conditioner within a preset time period and historical external information corresponding to each memory operation mode when receiving an air conditioner memory function operation instruction; A first determination module is used to determine the real-time external information corresponding to the air conditioner, and calculate the application matching degree between the real-time external information and each of the memory operation modes according to the real-time external information and the historical external information corresponding to each of the memory operation modes; The second determination module is used to determine a memory operation mode corresponding to an application matching degree that meets a preset application matching degree condition as a target memory operation mode, and determine a current operation mode of the air conditioner according to the target memory operation mode.

9. An intelligent device for determining an air conditioner operation mode, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent determination method of the air conditioning operation mode as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the intelligent determination method of the air conditioning operation mode as described in any one of claims 1-7.

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