Air conditioning circulation air supply control method and device based on multi-modal parameters, air conditioning

Abstract

The present invention relates to the field of intelligent device technology, and discloses an air conditioning circulation air supply control method and device based on multimodal parameters, and an air conditioner. The method comprises: inputting the multimodal parameters corresponding to the target air conditioner into an AI circulation air control model for analysis, obtaining wind speed switching information of the target air conditioner's fan circulation speed changing with time; determining AI circulation air control parameters based on the wind speed switching information, wherein the AI ​​circulation air control parameters at least include an air outlet initial velocity parameter, a maintenance time parameter, and a cycle time parameter; and controlling the target air conditioner to perform corresponding circulation air outlet control operations based on the AI ​​circulation air control parameters. It can be seen that the present invention can improve the accuracy and reliability of the circulation air supply control of the target air conditioner, as well as improve the efficiency and convenience of the circulation air supply control of the target air conditioner, further achieving consistent wind speed and airflow diffusion distribution in the distant and near areas of the space where the target air conditioner is located, and improving the comfort of the space where the target air conditioner is located and the overall user experience.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent devices, and in particular to an air conditioning circulation air supply control method and device based on multimodal parameters, and an air conditioner. Background Art

[0002] With the development of artificial intelligence technology and the improvement of people's living standards, the use of traditional air conditioners has become very common, and their functions are becoming increasingly intelligent and user-friendly. However, in actual applications, existing intelligent air conditioner control methods are mostly still implemented through remote controls. For example, users use the remote control to adjust the air conditioner's operating mode and select control functions. Existing intelligent air conditioner control methods can lead to low control accuracy and reliability. Therefore, it is particularly important to provide an intelligent air conditioner control method that improves control accuracy and reliability. Summary of the Invention

[0003] The present invention provides an air conditioning circulation air supply control method and device based on multi-modal parameters, and an air conditioner, which can improve the control accuracy and control reliability of the air conditioner.

[0004] In order to solve the above technical problems, the first aspect of the present invention discloses an air conditioning circulation air supply control method based on multimodal parameters, the method comprising:

[0005] Obtaining multimodal parameters corresponding to a target air conditioner in a current scene, the multimodal parameters including one or more of operating parameters of the target air conditioner, relationship parameters between the target air conditioner and the current scene, and environmental parameters of the current scene;

[0006] Inputting the multimodal parameters into the trained and converged AI circulating wind control model for analysis, and obtaining wind speed switching information of the target air conditioner's fan circulating speed changing over time;

[0007] Determine, based on the wind speed switching information, AI circulating air control parameters corresponding to the target air conditioner, wherein the AI ​​circulating air parameters include at least an air outlet initial velocity parameter, a holding time parameter, and a cycle time parameter;

[0008] According to the AI ​​circulating air control parameters, the target air conditioner is controlled to perform corresponding circulating air control operations so that the wind speed and airflow diffusion distribution corresponding to the distant area and the near area in the current scene are consistent.

[0009] As an optional embodiment, in the first aspect of the present invention, the multimodal parameters are input into the trained and converged AI circulating wind control model for analysis to obtain the wind speed switching information of the fan circulating speed of the target air conditioner changing over time, including:

[0010] Determining an air outlet path of the target air conditioner according to the operating parameters, the relationship parameters, and the environmental parameters, and determining a change in the airflow field of the current scene according to the relationship parameters and the environmental parameters;

[0011] According to the change of the airflow field, a corresponding path stage division operation is performed on the air outlet range path to obtain one or more sub-stage path areas;

[0012] Determining the plane coordinate distance information corresponding to each of the sub-stage path areas and the target air conditioner;

[0013] Determining target fan speed information of the target air conditioner for each sub-stage path area based on the airflow field change status, each sub-stage path area and its corresponding plane coordinate distance information, the expected wind speed of the current scene, and the airflow diffusion distribution information;

[0014] Determining the required time information for the fan of the target air conditioner to reach each of the sub-stage path areas based on the airflow field change status and each of the sub-stage path areas and their corresponding plane coordinate distance information;

[0015] Determining the wind speed switching information of the fan cycle speed of the target air conditioner as it changes over time based on the target fan wind speed information and the required time information of each sub-stage path area;

[0016] Among them, the first fan wind speed value corresponding to the sub-stage path area that meets the preset condition of being far away from the air conditioner is greater than the second fan wind speed value corresponding to the sub-stage path area that meets the preset condition of being close to the air conditioner.

[0017] As an optional embodiment, in the first aspect of the present invention, determining the wind speed switching information of the fan cycle speed of the target air conditioner as it changes over time based on the target fan wind speed information and the required time information of each sub-stage path area includes:

[0018] Determining the maintainability of the wind speed and airflow diffusion distribution in the current scenario based on the change in the airflow field;

[0019] Determining energy-saving operation mode information and energy-saving operation duration information of the target air conditioner according to the maintainable condition;

[0020] According to the energy-saving operation mode information, the energy-saving operation duration information, the target fan speed information of each sub-stage path area and the required time information, the wind speed switching information of the fan cycle speed of the target air conditioner that changes with time is determined.

[0021] As an optional embodiment, in the first aspect of the present invention, determining the target fan speed information of the target air conditioner for each sub-stage path area based on the airflow field change condition, each sub-stage path area and its corresponding plane coordinate distance information, and the expected wind speed and airflow diffusion distribution information of the current scene includes:

[0022] Determining, based on the airflow field change condition, each sub-stage path area and its corresponding plane coordinate distance information, the achieved property type of each sub-stage path area for the expected airflow field phenomenon, wherein the achieved property type includes a natural achieved type or an additional achieved type;

[0023] Determining conventional fan wind speed information of the target air conditioner for the current scene based on the airflow field change condition and the determined expected wind speed and airflow diffusion distribution information for the current scene;

[0024] According to the conventional fan speed information, the achieved property type and plane coordinate distance information corresponding to each sub-stage path area, and the airflow field change condition, the target fan speed information of the target air conditioner for each sub-stage path area is determined.

[0025] As an optional embodiment, in the first aspect of the present invention, determining the target fan speed information of the target air conditioner for each sub-stage path area based on the conventional fan speed information, the achieved property type and plane coordinate distance information corresponding to each sub-stage path area, and the airflow field change condition includes:

[0026] For the sub-stage path area where the achievement property type is the natural achievement type, determining the target fan speed information of the target air conditioner for the sub-stage path area according to the conventional fan speed information;

[0027] For the sub-stage path area whose achievement property type is the additional achievement type, the additional fan speed information corresponding to the sub-stage path area is determined based on the conventional fan speed information, the airflow field change condition, and the plane coordinate distance information corresponding to the sub-stage path area; based on the conventional fan speed information and the additional fan speed information, the target fan speed information of the target air conditioner for the sub-stage path area is determined.

[0028] As an optional embodiment, in the first aspect of the present invention, after determining the AI ​​circulating air control parameter corresponding to the target air conditioner according to the wind speed switching information, the method further includes:

[0029] Determining current control parameters of the target air conditioner, and judging whether the target air conditioner meets a preset first airflow field adjustment condition based on the current control parameters and the AI ​​circulating air control parameters;

[0030] When it is determined that the target air conditioner meets the first airflow field adjustment condition, the current wind speed and airflow diffusion distribution phenomenon of the current scene are determined, and the predicted wind speed and airflow diffusion distribution phenomenon of the current scene are analyzed based on the AI ​​circulating air control parameters;

[0031] Determining whether the target air conditioner meets a preset second air flow field adjustment condition based on the current wind speed and air flow diffusion distribution phenomenon and the predicted wind speed and air flow diffusion distribution phenomenon;

[0032] When it is determined that the target air conditioner meets the second air flow field adjustment condition, the step of controlling the target air conditioner to perform the corresponding circulating air control operation according to the AI ​​circulating air control parameter is executed.

[0033] As an optional embodiment, in the first aspect of the present invention, after controlling the target air conditioner to perform the corresponding circulating air control operation according to the AI ​​circulating air control parameter, the method further includes:

[0034] Collect the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area;

[0035] Determine whether the current scene meets the preset wind speed and diffusion distribution consistency conditions based on the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area;

[0036] When it is determined that the current scene does not meet the wind speed and diffusion distribution consistency conditions, the target air conditioner is controlled to perform corresponding air outlet adjustment operations according to the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area.

[0037] A second aspect of the present invention discloses an air conditioning circulation air supply control device based on multimodal parameters, the device comprising:

[0038] an information acquisition module, configured to acquire multimodal parameters corresponding to a target air conditioner in a current scene, the multimodal parameters including one or more of operating parameters of the target air conditioner, relationship parameters between the target air conditioner and the current scene, and environmental parameters of the current scene;

[0039] A model analysis module is used to input the multimodal parameters into the trained and converged AI circulating wind control model for analysis, and obtain wind speed switching information of the fan circulating speed of the target air conditioner as it changes over time;

[0040] a determination module, configured to determine AI circulating air control parameters corresponding to the target air conditioner according to the wind speed switching information, wherein the AI ​​circulating air parameters include at least an air outlet initial velocity parameter, a holding time parameter, and a cycle time parameter;

[0041] The air outlet control module is used to control the target air conditioner to perform corresponding circulating air outlet control operations according to the AI ​​circulating air control parameters, so that the wind speed and airflow diffusion distribution corresponding to the distant area and the near area in the current scene are consistent.

[0042] As an optional embodiment, in the second aspect of the present invention, the model analysis module inputs the multimodal parameters into the trained and converged AI circulating wind control model for analysis, and obtains the wind speed switching information of the fan circulating speed of the target air conditioner changing over time, specifically including:

[0043] Determining an air outlet path of the target air conditioner according to the operating parameters, the relationship parameters, and the environmental parameters, and determining a change in the airflow field of the current scene according to the relationship parameters and the environmental parameters;

[0044] According to the change of the airflow field, a corresponding path stage division operation is performed on the air outlet range path to obtain one or more sub-stage path areas;

[0045] Determining the plane coordinate distance information corresponding to each of the sub-stage path areas and the target air conditioner;

[0046] Determining target fan speed information of the target air conditioner for each sub-stage path area based on the airflow field change status, each sub-stage path area and its corresponding plane coordinate distance information, the expected wind speed of the current scene, and the airflow diffusion distribution information;

[0047] Determining the required time information for the fan of the target air conditioner to reach each of the sub-stage path areas based on the airflow field change status and each of the sub-stage path areas and their corresponding plane coordinate distance information;

[0048] Determining the wind speed switching information of the fan cycle speed of the target air conditioner as it changes over time based on the target fan wind speed information and the required time information of each sub-stage path area;

[0049] Among them, the first fan wind speed value corresponding to the sub-stage path area that meets the preset condition of being far away from the air conditioner is greater than the second fan wind speed value corresponding to the sub-stage path area that meets the preset condition of being close to the air conditioner.

[0050] As an optional embodiment, in the second aspect of the present invention, the model analysis module determines the wind speed switching information of the target air conditioner's fan cycle speed changing over time based on the target fan wind speed information and the required time information of each sub-stage path area, specifically including:

[0051] Determining the maintainability of the wind speed and airflow diffusion distribution in the current scenario based on the change in the airflow field;

[0052] Determining energy-saving operation mode information and energy-saving operation duration information of the target air conditioner according to the maintainable condition;

[0053] According to the energy-saving operation mode information, the energy-saving operation duration information, the target fan speed information of each sub-stage path area and the required time information, the wind speed switching information of the fan cycle speed of the target air conditioner that changes with time is determined.

[0054] As an optional embodiment, in the second aspect of the present invention, the model analysis module determines the target fan speed information of the target air conditioner for each sub-stage path area according to the airflow field change condition, each sub-stage path area and its corresponding plane coordinate distance information, and the expected wind speed and airflow diffusion distribution information of the current scene, specifically including:

[0055] Determining, based on the airflow field change condition, each sub-stage path area and its corresponding plane coordinate distance information, the achieved property type of each sub-stage path area for the expected airflow field phenomenon, wherein the achieved property type includes a natural achieved type or an additional achieved type;

[0056] Determining conventional fan wind speed information of the target air conditioner for the current scene based on the airflow field change condition and the determined expected wind speed and airflow diffusion distribution information for the current scene;

[0057] According to the conventional fan speed information, the achieved property type and plane coordinate distance information corresponding to each sub-stage path area, and the airflow field change condition, the target fan speed information of the target air conditioner for each sub-stage path area is determined.

[0058] As an optional embodiment, in the second aspect of the present invention, the model analysis module determines the target fan speed information of the target air conditioner for each sub-stage path area based on the conventional fan speed information, the achieved property type and plane coordinate distance information corresponding to each sub-stage path area, and the airflow field change condition, specifically including:

[0059] For the sub-stage path area where the achievement property type is the natural achievement type, determining the target fan speed information of the target air conditioner for the sub-stage path area according to the conventional fan speed information;

[0060] For the sub-stage path area whose achievement property type is the additional achievement type, the additional fan speed information corresponding to the sub-stage path area is determined based on the conventional fan speed information, the airflow field change condition, and the plane coordinate distance information corresponding to the sub-stage path area; based on the conventional fan speed information and the additional fan speed information, the target fan speed information of the target air conditioner for the sub-stage path area is determined.

[0061] As an optional embodiment, in the second aspect of the present invention, the determination module is further configured to determine the current control parameters of the target air conditioner after determining the AI ​​circulating air control parameters corresponding to the target air conditioner according to the wind speed switching information;

[0062] The device further comprises:

[0063] a first judgment module, configured to judge whether the target air conditioner satisfies a preset first airflow field adjustment condition based on the current control parameter and the AI ​​circulating air control parameter;

[0064] The determination module is further configured to, when the first judgment module determines that the target air conditioner satisfies the first airflow field adjustment condition, determine the current wind speed and airflow diffusion distribution phenomenon of the current scene, and analyze the predicted wind speed and airflow diffusion distribution phenomenon of the current scene based on the AI ​​circulating air control parameter;

[0065] The first judgment module is also used to judge whether the target air conditioner meets the preset second airflow field adjustment condition based on the current wind speed and airflow diffusion distribution phenomenon and the predicted wind speed and airflow diffusion distribution phenomenon. When the judgment result is yes, the air outlet control module executes the step of controlling the target air conditioner to perform the corresponding circulation air outlet control operation according to the AI ​​circulation air control parameters.

[0066] As an optional embodiment, in the second aspect of the present invention, the information acquisition module is further configured to collect the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area after the air outlet control module controls the target air conditioner to perform the corresponding air outlet control operation according to the AI ​​air circulation control parameter;

[0067] The device further comprises:

[0068] A second judgment module is used to judge whether the current scene meets the preset wind speed and diffusion distribution consistency conditions according to the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area;

[0069] The air outlet control module is also used to control the target air conditioner to perform corresponding air outlet adjustment operations according to the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area when the second judgment module determines that the current scene does not meet the wind speed and diffusion distribution consistency conditions.

[0070] A third aspect of the present invention discloses an air conditioner, comprising:

[0071] Air conditioner body;

[0072] a memory storing executable program code;

[0073] a processor coupled to the memory;

[0074] The processor calls the executable program code stored in the memory to execute an air conditioning circulation and air supply control method based on multi-modal parameters disclosed in the first aspect of the present invention.

[0075] The fourth aspect 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 air conditioning circulation and air supply control method based on multi-modal parameters disclosed in the first aspect of the present invention.

[0076] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0077] In an embodiment of the present invention, multimodal parameters corresponding to a target air conditioner in a current scene are obtained, the multimodal parameters including one or more of the operating parameters of the target air conditioner, the relationship parameters between the target air conditioner and the current scene, and the environmental parameters of the current scene; the multimodal parameters are input into a trained and converged AI circulating wind control model for analysis to obtain wind speed switching information of the target air conditioner's fan circulating speed changing with time; based on the wind speed switching information, the AI ​​circulating wind control parameters corresponding to the target air conditioner are determined, the AI ​​circulating wind parameters including at least an air outlet initial velocity parameter, a holding time parameter, and a cycle time parameter; based on the AI ​​circulating wind control parameters, the target air conditioner is controlled to perform corresponding circulating air control operations so that the wind speed and airflow diffusion distribution corresponding to the distant area and the near area in the target air conditioner in the current scene are consistent. It can be seen that the present invention can input multimodal parameters into the AI ​​circulating air control model for analysis to obtain wind speed switching information, determine the AI ​​circulating air control parameters according to the wind speed switching information, and then control the target air conditioner to perform corresponding circulating air control operations, which is conducive to improving the comprehensiveness and rationality of the air conditioning circulating air supply control method, and thus is conducive to improving the accuracy and reliability of the determined AI circulating air control parameters, thereby helping to improve the accuracy and reliability of the circulating air supply control of the target air conditioner, as well as helping to improve the efficiency and convenience of the circulating air supply control of the target air conditioner, and further helping to achieve consistent wind speed and airflow diffusion distribution in distant and near areas of the space where the target air conditioner is located, thereby improving the comfort of the space where the target air conditioner is located and the overall user perception. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] 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.

[0079] Figure 1 This is a schematic diagram of a scenario to which an air conditioning circulation air supply control method based on multimodal parameters disclosed in an embodiment of the present invention is applicable;

[0080] Figure 2 This is a flow chart of an air conditioning circulation air supply control method based on multi-modal parameters disclosed in an embodiment of the present invention;

[0081] Figure 3 This is a flow chart of another air conditioning circulation air supply control method based on multi-modal parameters disclosed in an embodiment of the present invention;

[0082] Figure 4Schematic diagram of the structure of an air conditioning circulation and air supply control device based on multi-modal parameters disclosed in an embodiment of the present invention;

[0083] Figure 5 Schematic diagram of another air conditioning circulation air supply control device based on multi-modal parameters disclosed in an embodiment of the present invention;

[0084] Figure 6 This is a schematic structural diagram of an air conditioner disclosed in an embodiment of the present invention;

[0085] Figure 7 It is a schematic diagram of the relationship between the air outlet initial velocity parameter, the maintenance time parameter and the cycle time parameter disclosed in the embodiment of the present invention. DETAILED DESCRIPTION

[0086] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of 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. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0087] The terms "first," "second," and so on, in the description and claims of the present invention and the accompanying drawings are used to distinguish between different items, not to describe a specific order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or end comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed therein, or may optionally include other steps or elements inherent to such process, method, product, or end.

[0088] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0089] The present invention discloses a multimodal parameter-based air conditioning circulation air supply control method and device, and an air conditioner. The multimodal parameters can be input into an AI circulation air control model for analysis to obtain wind speed switching information. The AI ​​circulation air control parameters are determined based on the wind speed switching information, and then the target air conditioner is controlled to perform the corresponding circulation air output control operation. This is conducive to improving the comprehensiveness and rationality of the air conditioning circulation air supply control method, and further conducive to improving the accuracy and reliability of the determined AI circulation air control parameters, thereby facilitating the improvement of the accuracy and reliability of the circulation air supply control of the target air conditioner, as well as the improvement of the efficiency and convenience of the circulation air supply control of the target air conditioner. It is further conducive to achieving consistent wind speed and airflow diffusion distribution in the distant and near areas of the space where the target air conditioner is located, thereby improving the comfort of the space where the target air conditioner is located and the overall user experience. Detailed descriptions are given below.

[0090] In order to better understand the air conditioning circulation air supply control method and device based on multimodal parameters and the air conditioner described in the present invention, the scenario architecture applicable to the air conditioning circulation air supply control method based on multimodal parameters is first described. Specifically, the scenario architecture can be as follows: Figure 1 As shown, the applicable scenarios of the air conditioning circulation air supply control method based on multimodal parameters may include smart air conditioning. Specifically, the multimodal parameters are input into the trained and converged AI circulation wind control model for analysis, and the wind speed switching information of the target air conditioning fan circulation speed changes with time. The wind speed switching information can be used to indicate that the wind speed circulation speed switches from high to low interval time periods. The wind speed switching information can be reflected by the initial velocity, maintenance time and cycle time of the air outlet; further, according to the initial velocity information, maintenance time information and cycle time information of the air outlet, the smart air conditioner is controlled to perform corresponding circulation air supply control operations to achieve consistent wind speed and airflow diffusion distribution corresponding to different areas in the current scene (such as areas far away from the target air conditioner and areas close to the target air conditioner).

[0091] It should be noted that Figure 1 The scenario diagram shown is only intended to illustrate a scenario in which an air conditioning circulation and air supply control method based on multimodal parameters is applicable. The various smart devices involved are only shown schematically. The specific structure / size / shape / location / installation method and the communication method between the various smart devices can be adaptively adjusted according to the actual scenario. Figure 1 The scenario shown is not limiting in this regard.

[0092] Example 1

[0093] See also Figure 2 , Figure 2 This is a flow chart of an air conditioning circulation air supply control method based on multi-modal parameters disclosed in an embodiment of the present invention. Figure 2The described method can be applied to an air conditioner, wherein the air conditioner may include a server, wherein the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 2 As shown, the air conditioning circulation air supply control method based on multi-modal parameters includes the following operations:

[0094] 101. Obtain multimodal parameters corresponding to a target air conditioner in a current scene, where the multimodal parameters include one or more of operating parameters of the target air conditioner, relationship parameters between the target air conditioner and the current scene, and environmental parameters of the current scene.

[0095] Optionally, the operating parameters of the target air conditioner may include, but are not limited to, one or more of the target air conditioner's operating time parameters, operating temperature parameters, operating thermal value parameters, operating air volume parameters, operating thrust parameters, operating mode parameters, operating gear parameters, guide structure parameters, initial air outlet velocity parameters and other operating parameters, and are not limited in the embodiments of the present invention.

[0096] Optionally, the relationship parameters between the target air conditioner and the current scene may include but are not limited to one or more of the distance value parameters between the starting point and the end point of the working area in the current scene and the target air conditioner, the relationship parameters between the air guide angle of the target air conditioner and the air flow outlet angle, and other relationship parameters, which are not limited in the embodiments of the present invention.

[0097] Optionally, the environmental parameters of the current scene may include, but are not limited to, one or more of the environmental humidity parameters, environmental temperature parameters, environmental particle parameters, environmental wind volume and wind force parameters, and other environmental parameters of the current scene, and are not limited in this embodiment of the present invention.

[0098] Further optionally, before obtaining the multimodal parameters corresponding to the target air conditioner in the current scene, the method may further include the following operations:

[0099] determining whether a target trigger instruction for triggering operation of an air conditioning circulation air supply control mode for a target air conditioner is received from a target user;

[0100] When it is determined that a target trigger instruction is received, the step of obtaining the multimodal parameters corresponding to the target air conditioner in the current scene is executed;

[0101] When it is determined that the target trigger instruction is not received, the above step of determining whether the target trigger instruction for triggering the operation of the air conditioning circulation air supply control mode for the target air conditioner is received from the target user is performed again.

[0102] Further optionally, the target trigger instruction can be a trigger instruction generated by voice interaction between the user and the voice module corresponding to the target air conditioner. For example, the voice module corresponding to the target air conditioner recognizes the user's words "Please run the air conditioning circulation and air supply control mode of the target air conditioner" as the target trigger instruction; the target trigger instruction can also be a message signal sent to it by the target user through the smart terminal and received by the WiFi module corresponding to the target air conditioner. For example, the target user clicks the relevant button for running the air conditioning circulation and air supply control mode of the target air conditioner on the smart terminal, and the smart terminal communicates with the WiFi module corresponding to the target air conditioner to obtain the target trigger instruction. This embodiment of the present invention is not limited to this. Further optional The voice module corresponding to the target air conditioner can be set in the target air conditioner, or in the control device corresponding to the target air conditioner (such as a remote control, a control module, an air conditioning circulation and air supply control device based on multimodal parameters, etc.), or in an intelligent device associated with the target air conditioner (such as an intelligent terminal capable of controlling the target air conditioner, other intelligent home appliances in a smart home system, and an intelligent device that has a joint operation relationship with the target air conditioner, etc.), which is not limited in the embodiment of the present invention; further optionally, when the voice module is set in a related device other than the target air conditioner, the target air conditioner can receive the voice command recognized by the voice module and sent by the above-mentioned related device through the WiFi module, which is not limited in the embodiment of the present invention.

[0103] 102. The multimodal parameters are input into the trained and converged AI circulating wind control model for analysis to obtain the wind speed switching information of the target air conditioner's fan circulating speed changing over time.

[0104] Optionally, the analysis logic of the AI ​​circulating wind control model is illustrated by the following examples: temperature difference-thermal value will have a positive correlation effect on the transmission speed; time period-operating time will have a positive correlation effect on the propagation distance; air volume value-thrust value will have a positive correlation effect on the propagation speed; the initial air outlet velocity will have a positive correlation effect on the propagation speed and distance; the greater the humidity, the greater the resistance, and humidity will have an inverse correlation effect on the propagation speed and distance; the resistance value of a straight guide structure is smaller than the resistance value of an arc-shaped guide result, and the resistance value is small when the guide angle is parallel to the airflow outlet angle; the distance values ​​of the starting point and end point of the working area from the target air conditioner will affect the propagation speed and distance, and the embodiments of the present invention do not limit this.

[0105] Optionally, the wind speed switching information may be used to determine the switching of the fan cycle speed of the target air conditioner from high to low at intervals, which is not limited in the embodiment of the present invention.

[0106] 103. Determine AI circulating air control parameters corresponding to the target air conditioner based on the wind speed switching information. The AI ​​circulating air parameters include at least an air outlet initial velocity parameter, a holding time parameter, and a cycle time parameter.

[0107] Optionally, each cycle period may include one or more air outlet initial velocity values, and each air outlet initial velocity value may correspond to a maintenance time value; further optionally, the relationship between the air outlet initial velocity parameter, the maintenance time parameter and the cycle time parameter may refer to the appendix of the manual. Figure 7 The embodiment of the present invention is not limited thereto.

[0108] 104. Based on the AI ​​circulating air control parameters, control the target air conditioner to perform corresponding circulating air control operations so that the wind speed and airflow diffusion distribution corresponding to the distant area and the near area in the current scene based on the target air conditioner are consistent.

[0109] Optionally, the airflow field of the AI ​​circulating air supply can achieve the same wind speed and airflow diffusion distribution at far and near locations as the air outlet velocity gradually decreases, which is not limited in the embodiments of the present invention.

[0110] It can be seen that the air conditioning circulation air supply control method based on multimodal parameters described in the embodiment of the present invention can input multimodal parameters into the AI ​​circulation air control model for analysis to obtain wind speed switching information, determine the AI ​​circulation air control parameters according to the wind speed switching information, and then control the target air conditioner to perform corresponding circulation air outlet control operations, which is conducive to improving the comprehensiveness and rationality of the air conditioning circulation air supply control method, and thus is conducive to improving the accuracy and reliability of the determined AI circulation air control parameters, thereby helping to improve the accuracy and reliability of the circulation air supply control of the target air conditioner, as well as helping to improve the efficiency and convenience of the circulation air supply control of the target air conditioner, and further helping to achieve consistent wind speed and airflow diffusion distribution in distant and near areas of the space where the target air conditioner is located, thereby improving the comfort of the space where the target air conditioner is located and the overall user perception.

[0111] In an optional embodiment, the multimodal parameters are input into the trained and converged AI circulating wind control model for analysis to obtain the wind speed switching information of the target air conditioner's fan circulating speed changing over time, which may include:

[0112] Determine the air outlet path of the target air conditioner based on operating parameters, relationship parameters, and environmental parameters, and determine the airflow field change status of the current scene based on relationship parameters and environmental parameters;

[0113] According to the change of the airflow field, the corresponding path stage division operation is performed on the air outlet range path to obtain one or more sub-stage path areas;

[0114] Determine the plane coordinate distance information corresponding to the path area of ​​each sub-stage and the target air conditioner;

[0115] Determine the target fan speed information for each sub-stage path area of ​​the target air conditioner based on the airflow field change status, each sub-stage path area and its corresponding plane coordinate distance information, the expected wind speed of the current scene, and the airflow diffusion distribution information;

[0116] According to the airflow field change status and each sub-stage path area and its corresponding plane coordinate distance information, the required time information of the target air conditioner's fan outlet reaching each sub-stage path area is determined;

[0117] According to the target fan speed information and demand time information of each sub-stage path area, the wind speed switching information of the target air conditioner fan cycle speed changes over time is determined;

[0118] Among them, the first fan wind speed value corresponding to the sub-stage path area that meets the preset condition of being far away from the air conditioner is greater than the second fan wind speed value corresponding to the sub-stage path area that meets the preset condition of being close to the air conditioner.

[0119] Optionally, the air outlet range path of the target air conditioner can be understood as the range path that the air outlet of the target air conditioner can cover, and the embodiment of the present invention does not limit this.

[0120] Optionally, the airflow field change condition of the current scene can be understood as one or more of the location area condition, time condition, change degree condition, change speed condition, specific change phenomenon condition, change creation condition, change cause condition and other change-related conditions where the airflow field in the current scene will be affected and changed, and the embodiments of the present invention are not limited thereto.

[0121] Optionally, the plane coordinate distance information includes one or more of X-axis coordinate distance information, Y-axis coordinate distance information, Z-axis coordinate distance information, etc., which is not limited in this embodiment of the present invention.

[0122] Optionally, the first fan wind speed value corresponding to the sub-stage path area that meets the preset condition of being far away from the air conditioner is greater than the second fan wind speed value corresponding to the sub-stage path area that meets the preset condition of being close to the air conditioner. For example: the air outlet flow rate gradually decreases with time, that is, the air conditioning air outlet flow rate of the sub-stage path area far from the target air conditioner is higher than the air conditioning air outlet flow rate of the sub-stage path area close to the target air conditioner. After the air outlet speed for the distant area slows down, it is consistent with the air outlet speed of the close area. The embodiment of the present invention does not limit this.

[0123] It can be seen that this optional embodiment can divide the air outlet range path into one or more sub-stage path areas according to the determined airflow field change conditions of the current scene, further determine the target fan wind speed information and required time information of each sub-stage path area, and then determine the wind speed switching information, which is conducive to improving the comprehensiveness, integrity and rationality of the wind speed switching information determination method, and thus is conducive to improving the accuracy and reliability of the determined wind speed switching information, thereby helping to improve the accuracy and reliability of subsequent air-conditioning control based on wind speed switching information.

[0124] In another optional embodiment, the above-mentioned determination of the wind speed switching information of the target air conditioner's fan cycle speed changing over time based on the target fan wind speed information and the required time information of each sub-stage path area may include:

[0125] Determine the sustainability of the wind speed and airflow diffusion distribution in the current scenario based on the changes in the airflow field;

[0126] Determine the energy-saving operation mode information and energy-saving operation duration information of the target air conditioner based on the maintainable conditions;

[0127] According to the energy-saving operation mode information, the energy-saving operation time information, the target fan speed information of each sub-stage path area and the demand time information, the wind speed switching information of the target air conditioner's fan cycle speed changing with time is determined.

[0128] Optionally, the sustainable conditions of the wind speed and airflow diffusion distribution phenomenon may include but are not limited to one or more of the sustainable duration, sustainable capacity, sustainable level and other information used to express the sustainable conditions of the wind speed and airflow diffusion phenomenon, and the embodiments of the present invention do not limit this.

[0129] Optionally, for the airflow field change condition and the maintainable condition, an example is given: when the airflow field change condition is used to represent the airflow field influencing factors of the current scene, the fewer the maintainable time is, the stronger the maintainable ability is; when the airflow field change condition is used to represent the airflow field influencing factors of the current scene, the more the maintainable time is, the shorter the maintainable time is, and the worse the maintainable ability is. The same applies to other situations, and the embodiments of the present invention do not limit this.

[0130] Optionally, the energy-saving operation mode information and the energy-saving operation duration information can be understood as the target air conditioner being in an idle operation state and its duration, which is not limited in the embodiment of the present invention.

[0131] Optionally, the energy-saving operation duration information may represent an idle duration or a certain duration value, which is not limited in the embodiment of the present invention.

[0132] Further optionally, the total time period for the target air conditioner to perform a circulation air outlet link or the time node for each triggered circulation air outlet link can be determined based on the target fan wind speed information and demand time information and energy-saving operation time information of each sub-stage path area, thereby reflecting the cycle time parameters, which are not limited in the embodiments of the present invention.

[0133] It can be seen that this optional embodiment can determine the energy-saving operation mode information and energy-saving operation time information of the target air conditioner and then determine the wind speed switching information, which is conducive to improving the comprehensiveness and integrity of the wind speed switching information determination method, and is also conducive to improving the diversity, flexibility and pertinence of the determination parameters used to determine the wind speed switching information, and thus is conducive to improving the accuracy and reliability of the determined wind speed switching information.

[0134] In yet another optional embodiment, the target fan speed information of the target air conditioner for each sub-stage path area is determined based on the airflow field change status, each sub-stage path area and its corresponding plane coordinate distance information, the expected wind speed of the current scene, and the airflow diffusion distribution information, and may include:

[0135] Determine the type of achievement of each sub-stage path area for the expected airflow field phenomenon based on the airflow field change status, each sub-stage path area, and its corresponding plane coordinate distance information. The achievement type includes a natural achievement type or an additional achievement type.

[0136] Determine the conventional fan speed information of the target air conditioner for the current scene based on the change of the airflow field and the expected wind speed and airflow diffusion distribution information of the current scene;

[0137] According to the conventional fan speed information, the achieved property type and plane coordinate distance information corresponding to each sub-stage path area, and the airflow field change status, the target fan speed information of the target air conditioner for each sub-stage path area is determined.

[0138] Optionally, the naturally achieved type can be understood as the air outlet of the air conditioner fan only needs to naturally reach the path area of ​​the sub-stage, and the corresponding wind speed and airflow diffusion distribution will meet the preset requirements, without the need for additional targeted air outlet, and the embodiments of the present invention are not limited thereto.

[0139] Optionally, the additional achievement type can be understood as the air-conditioning fan naturally reaching the sub-stage path area, and the corresponding wind speed and airflow diffusion distribution do not meet the preset requirements, and additional targeted air outlet is required. The embodiment of the present invention does not limit this.

[0140] Further optionally, the above-mentioned method determines the type of achievement property of each sub-stage path area for the expected airflow field phenomenon based on the airflow field change status, each sub-stage path area and its corresponding plane coordinate distance information. For example: when the airflow field change status and the plane coordinate distance information are used to indicate that the airflow field of the sub-stage path area is greatly affected, the type of achievement property of the sub-stage path area is determined to be an additional achievement type; when the airflow field change status and the plane coordinate distance information are used to indicate that the airflow field of the sub-stage path area is less affected, the type of achievement property of the sub-stage path area is determined to be a natural achievement type. The embodiments of the present invention do not limit this.

[0141] It can be seen that this optional embodiment can determine the target fan speed information of the target air conditioner for each sub-stage path area based on the determined conventional fan speed information, the achieved property type and plane coordinate distance information corresponding to each sub-stage path area, and the airflow field change status, which is conducive to improving the comprehensiveness, integrity and rationality of the method for determining the target fan speed information of the sub-stage path area, and is conducive to improving the diversity, flexibility and pertinence of the determination parameters used to determine the target fan speed information, and thus is conducive to improving the accuracy and reliability of the determined target fan speed information of each sub-stage path area.

[0142] In yet another optional embodiment, the above-mentioned determination of the target fan speed information of the target air conditioner for each sub-stage path area based on the conventional fan speed information, the achieved property type and plane coordinate distance information corresponding to each sub-stage path area, and the airflow field change status may include:

[0143] For a sub-stage path area whose achievement property type is a natural achievement type, the target fan speed information of the target air conditioner for the sub-stage path area is determined based on the conventional fan speed information;

[0144] For the sub-stage path area whose achievement property type is the additional achievement type, the additional fan speed information corresponding to the sub-stage path area is determined based on the conventional fan speed information, the airflow field change status, and the plane coordinate distance information corresponding to the sub-stage path area; based on the conventional fan speed information and the additional fan speed information, the target fan speed information of the target air conditioner for the sub-stage path area is determined.

[0145] Further optionally, the determining of the target fan speed information of the target air conditioner for the path area of ​​the sub-stage based on the conventional fan speed information may include:

[0146] The conventional fan speed information is determined as the target fan speed information of the target air conditioner for the path area of ​​the sub-stage.

[0147] Further optionally, the above-mentioned determination of the additional fan speed information corresponding to the sub-stage path area based on the conventional fan speed information, the airflow field change condition, and the plane coordinate distance information corresponding to the sub-stage path area may include:

[0148] Determine the wind speed impact information of the fan according to the change of the airflow field and the plane coordinate distance information corresponding to the path area of ​​the sub-stage;

[0149] The additional fan wind speed information corresponding to the path area of ​​the sub-stage is determined based on the fan wind speed impact information and the conventional fan wind speed information.

[0150] Further optionally, the determining of the target fan speed information of the target air conditioner for the path area of ​​the sub-stage based on the conventional fan speed information and the additional fan speed information may include:

[0151] Comprehensive fan speed information is determined based on the conventional fan speed information and the additional fan speed information, and the comprehensive fan speed information is determined as the target fan speed information of the target air conditioner for the path area of ​​the sub-stage.

[0152] It can be seen that this optional embodiment can match the corresponding target wind turbine wind speed information determination method for the sub-stage path area whose achievement property type is a natural achievement type or an additional achievement type, which is beneficial to improving the diversity, flexibility and pertinence of the target wind turbine wind speed information determination method, and further beneficial to improving the pertinence and comprehensiveness of the determination parameters for determining the target wind turbine wind speed information of the sub-stage path area with different achievement property types, thereby helping to improve the accuracy and reliability of the determined target wind turbine wind speed information.

[0153] In another optional embodiment, after determining the AI ​​circulating air control parameters corresponding to the target air conditioner based on the wind speed switching information, the method may further include the following operations:

[0154] Determine the current control parameters of the target air conditioner, and determine whether the target air conditioner meets the preset first airflow field adjustment conditions based on the current control parameters and the AI ​​circulating air control parameters;

[0155] When it is determined that the target air conditioner meets the first airflow field adjustment condition, the current wind speed and airflow diffusion distribution phenomenon of the current scene are determined, and the predicted wind speed and airflow diffusion distribution phenomenon of the current scene are analyzed based on the AI ​​circulating air control parameters;

[0156] According to the current wind speed and airflow diffusion distribution phenomenon and the predicted wind speed and airflow diffusion distribution phenomenon, it is determined whether the target air conditioner meets the preset second airflow field adjustment condition;

[0157] When it is determined that the target air conditioner meets the second air flow field adjustment condition, the step of controlling the target air conditioner to perform the corresponding circulating air control operation according to the AI ​​circulating air control parameter is executed.

[0158] Optionally, judging whether the target air conditioner satisfies a preset first airflow field adjustment condition based on the current control parameters and the AI ​​circulating air control parameters may include:

[0159] Determine whether the current control parameters match the AI ​​circulating air control parameters;

[0160] When it is determined that the current control parameter matches the AI ​​circulating air control parameter, it is determined that the target air conditioner does not meet the first air flow field adjustment condition;

[0161] When it is determined that the current control parameter does not match the AI ​​circulating air control parameter, it is determined that the target air conditioner meets the first air flow field adjustment condition.

[0162] Optionally, judging whether the target air conditioner satisfies a preset second airflow field adjustment condition based on the current wind speed and airflow diffusion distribution phenomenon and the predicted wind speed and airflow diffusion distribution phenomenon may include:

[0163] Determine whether the current wind speed and airflow diffusion distribution phenomena match the predicted wind speed and airflow diffusion distribution phenomena;

[0164] When it is determined that the current wind speed and airflow diffusion distribution phenomenon match the predicted wind speed and airflow diffusion distribution phenomenon, it is determined that the target air conditioner does not meet the preset second airflow flow field adjustment condition;

[0165] When it is determined that the current wind speed and airflow diffusion distribution phenomenon do not match the predicted wind speed and airflow diffusion distribution phenomenon, it is determined that the target air conditioner meets the preset second airflow field adjustment condition.

[0166] Optionally, the method may further include the following operations:

[0167] When it is determined that the target air conditioner does not meet the first air flow field adjustment condition, the set associated air outlet device is controlled to perform the corresponding linked air outlet operation according to the multi-modal parameters and wind speed switching information;

[0168] Further optionally, the method may further include the following operations:

[0169] When it is determined that the target air conditioner does not meet the second air flow field adjustment condition, the set associated air outlet device is controlled to perform the corresponding linked air outlet operation according to the multi-modal parameters and the wind speed switching information.

[0170] It can be seen that this optional embodiment can control the target air conditioner to perform the corresponding circulation air outlet control operation when the target air conditioner meets the first air flow field adjustment condition and meets the second air flow field adjustment condition, which is beneficial to improving the comprehensiveness and integrity of the air conditioning circulation air supply control method, and thus is beneficial to improving the accuracy, reliability and rationality of the air conditioning circulation air supply control, thereby helping to improve the timeliness and accuracy of the execution of the air conditioning circulation air outlet control operation.

[0171] Example 2

[0172] See also Figure 3 , Figure 3 This is a flow chart of another air conditioning circulation air supply control method based on multi-modal parameters disclosed in an embodiment of the present invention. Figure 3 The described method can be applied to an air conditioner, wherein the air conditioner may include a server, wherein the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 3 As shown, the air conditioning circulation air supply control method based on multi-modal parameters includes the following operations:

[0173] 201. Obtain multimodal parameters corresponding to a target air conditioner in a current scene, where the multimodal parameters include one or more of operating parameters of the target air conditioner, relationship parameters between the target air conditioner and the current scene, and environmental parameters of the current scene.

[0174] 202. The multimodal parameters are input into the trained and converged AI circulating wind control model for analysis to obtain the wind speed switching information of the target air conditioner's fan circulating speed changing over time.

[0175] 203. Determine AI circulating air control parameters corresponding to the target air conditioner based on the wind speed switching information. The AI ​​circulating air parameters include at least an air outlet initial velocity parameter, a holding time parameter, and a cycle time parameter.

[0176] 204. Based on the AI ​​circulating air control parameters, control the target air conditioner to perform corresponding circulating air control operations so that the wind speed and airflow diffusion distribution corresponding to the distant area and the near area in the current scene based on the target air conditioner are consistent.

[0177] 205. Collect the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area determined.

[0178] 206. Based on the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area, determine whether the current scene meets the preset wind speed and diffusion distribution consistency conditions.

[0179] Further optionally, when it is determined that the current scene meets the wind speed and diffusion distribution consistency conditions, the above-mentioned step of collecting and determining the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area is performed again.

[0180] Further optionally, judging whether the current scene satisfies the preset wind speed and diffusion distribution consistency conditions based on the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area may include:

[0181] Based on the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area, determine whether there is at least one sub-stage path area in all sub-stage path areas that meets the abnormal wind speed and airflow diffusion distribution phenomenon;

[0182] When it is determined that there is at least one sub-stage path area in all sub-stage path areas that meets the abnormal wind speed and airflow diffusion distribution phenomenon, it is determined that the current scene does not meet the preset wind speed and diffusion distribution consistency conditions;

[0183] When it is determined that there is no at least one sub-stage path area in all sub-stage path areas that meets the abnormal wind speed and airflow diffusion distribution phenomenon, it is determined that the current scene meets the preset wind speed and diffusion distribution consistency conditions.

[0184] Optionally, the sub-stage path area that meets the abnormal wind speed and airflow diffusion distribution phenomenon can be understood as the wind speed and airflow diffusion distribution phenomenon between the sub-stage path area and other sub-stage path areas being inconsistent, and the embodiment of the present invention does not limit this.

[0185] 207. When it is determined that the current scene does not meet the wind speed and diffusion distribution consistency conditions, the target air conditioner is controlled to perform corresponding air outlet adjustment operations according to the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area.

[0186] In the embodiment of the present invention, for other descriptions of steps 201 to 207, please refer to the other detailed descriptions of steps 101 to 104 in the first embodiment, which will not be repeated in the embodiment of the present invention.

[0187] It can be seen that the embodiment of the present invention can input multimodal parameters into the AI ​​circulation air control model for analysis to obtain wind speed switching information, determine the AI ​​circulation air control parameters based on the wind speed switching information, and then control the target air conditioner to perform the corresponding circulation air control operation, which is conducive to improving the comprehensiveness and rationality of the air conditioning circulation air supply control method, and further conducive to improving the accuracy and reliability of the determined AI circulation air control parameters, thereby facilitating the improvement of the accuracy and reliability of the circulation air supply control of the target air conditioner, as well as the efficiency and convenience of the circulation air supply control of the target air conditioner. It is further conducive to achieving consistency in wind speed and air flow diffusion distribution in the distant and near areas of the space where the target air conditioner is located, thereby improving the comfort and overall user experience of the space where the target air conditioner is located; and it can also provide an air outlet adjustment function for the air conditioner. When the current scene does not meet the wind speed and diffusion distribution consistency conditions, the target air conditioner is controlled to perform the corresponding air outlet adjustment operation based on the current wind speed and air flow diffusion distribution corresponding to each sub-stage path area. This is conducive to improving the comprehensiveness and integrity of the air conditioning circulation air supply control method, thereby facilitating the improvement of the accuracy and reliability of the air outlet control of the air conditioner, thereby facilitating the achievement of consistency in wind speed and air flow diffusion distribution in the distant and near areas of the space where the target air conditioner is located.

[0188] Example 3

[0189] See also Figure 4 , Figure 4 This is a schematic diagram of the structure of an air conditioning circulation air supply control device based on multi-modal parameters disclosed in an embodiment of the present invention. Figure 4 The described device may include a server, wherein the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 4 As shown, the air conditioning circulation air supply control device based on multi-modal parameters may include:

[0190] The information acquisition module 301 is used to obtain multimodal parameters corresponding to the target air conditioner in the current scene. The multimodal parameters include one or more of the operating parameters of the target air conditioner, the relationship parameters between the target air conditioner and the current scene, and the environmental parameters of the current scene.

[0191] The model analysis module 302 is used to input the multimodal parameters into the trained and converged AI circulating wind control model for analysis, and obtain the wind speed switching information of the target air conditioner's fan circulating speed changing over time.

[0192] The determination module 303 is used to determine the AI ​​circulating wind control parameters corresponding to the target air conditioner according to the wind speed switching information. The AI ​​circulating wind parameters include at least the air outlet initial velocity parameter, the maintenance time parameter and the cycle time parameter.

[0193] The air outlet control module 304 is used to control the target air conditioner to perform corresponding circulating air outlet control operations based on the AI ​​circulating air control parameters, so that the wind speed and airflow diffusion distribution corresponding to the distant area and the near area in the current scene are consistent based on the target air conditioner.

[0194] It can be seen that implementation Figure 4 The described air conditioning circulation air supply control device based on multimodal parameters can input multimodal parameters into the AI ​​circulation air control model for analysis to obtain wind speed switching information, determine the AI ​​circulation air control parameters according to the wind speed switching information, and then control the target air conditioner to perform corresponding circulation air outlet control operations, which is conducive to improving the comprehensiveness and rationality of the air conditioning circulation air supply control method, and thus is conducive to improving the accuracy and reliability of the determined AI circulation air control parameters, thereby helping to improve the accuracy and reliability of the circulation air supply control of the target air conditioner, as well as helping to improve the efficiency and convenience of the circulation air supply control of the target air conditioner, and further helping to achieve consistent wind speed and airflow diffusion distribution in distant and near areas of the space where the target air conditioner is located, thereby improving the comfort of the space where the target air conditioner is located and the overall user perception.

[0195] In an optional embodiment, the model analysis module 302 inputs the multimodal parameters into the trained and converged AI circulating air control model for analysis, and obtains the wind speed switching information of the target air conditioner fan circulating speed changing over time, specifically including:

[0196] Determine the air outlet path of the target air conditioner based on operating parameters, relationship parameters, and environmental parameters, and determine the airflow field change status of the current scene based on relationship parameters and environmental parameters;

[0197] According to the change of the airflow field, the corresponding path stage division operation is performed on the air outlet range path to obtain one or more sub-stage path areas;

[0198] Determine the plane coordinate distance information corresponding to the path area of ​​each sub-stage and the target air conditioner;

[0199] Determine the target fan speed information for each sub-stage path area of ​​the target air conditioner based on the airflow field change status, each sub-stage path area and its corresponding plane coordinate distance information, the expected wind speed of the current scene, and the airflow diffusion distribution information;

[0200] According to the airflow field change status and each sub-stage path area and its corresponding plane coordinate distance information, the required time information of the target air conditioner's fan outlet reaching each sub-stage path area is determined;

[0201] According to the target fan speed information and demand time information of each sub-stage path area, the wind speed switching information of the target air conditioner fan cycle speed changes over time is determined;

[0202] Among them, the first fan wind speed value corresponding to the sub-stage path area that meets the preset condition of being far away from the air conditioner is greater than the second fan wind speed value corresponding to the sub-stage path area that meets the preset condition of being close to the air conditioner.

[0203] It can be seen that implementation Figure 5 The described device can divide the air outlet range path into one or more sub-stage path areas according to the determined airflow field change conditions of the current scene, further determine the target fan wind speed information and required time information of each sub-stage path area, and then determine the wind speed switching information, which is conducive to improving the comprehensiveness, integrity and rationality of the wind speed switching information determination method, and thus is conducive to improving the accuracy and reliability of the determined wind speed switching information, thereby helping to improve the accuracy and reliability of subsequent air-conditioning control based on the wind speed switching information.

[0204] In another optional embodiment, the model analysis module 302 determines the wind speed switching information of the target air conditioner fan cycle speed that changes with time based on the target fan wind speed information and the required time information of each sub-stage path area, specifically including:

[0205] Determine the sustainability of the wind speed and airflow diffusion distribution in the current scenario based on the changes in the airflow field;

[0206] Determine the energy-saving operation mode information and energy-saving operation duration information of the target air conditioner based on the maintainable conditions;

[0207] According to the energy-saving operation mode information, the energy-saving operation time information, the target fan speed information of each sub-stage path area and the demand time information, the wind speed switching information of the target air conditioner's fan cycle speed changing with time is determined.

[0208] It can be seen that implementation Figure 5 The described device can also determine the energy-saving operation mode information and energy-saving operation time information of the target air conditioner and then determine the wind speed switching information, which is conducive to improving the comprehensiveness and integrity of the wind speed switching information determination method, and is also conducive to improving the diversity, flexibility and pertinence of the determination parameters used to determine the wind speed switching information, and thus is conducive to improving the accuracy and reliability of the determined wind speed switching information.

[0209] In another optional embodiment, the model analysis module 302 determines the target fan speed information of the target air conditioner for each sub-stage path area based on the airflow field change status, each sub-stage path area and its corresponding plane coordinate distance information, the expected wind speed of the current scene, and the airflow diffusion distribution information, specifically including:

[0210] Determine the type of achievement of each sub-stage path area for the expected airflow field phenomenon based on the airflow field change status, each sub-stage path area, and its corresponding plane coordinate distance information. The achievement type includes a natural achievement type or an additional achievement type.

[0211] Determine the conventional fan speed information of the target air conditioner for the current scene based on the change of the airflow field and the expected wind speed and airflow diffusion distribution information of the current scene;

[0212] According to the conventional fan speed information, the achieved property type and plane coordinate distance information corresponding to each sub-stage path area, and the airflow field change status, the target fan speed information of the target air conditioner for each sub-stage path area is determined.

[0213] It can be seen that implementation Figure 5 The described device can also determine the target fan speed information of the target air conditioner for each sub-stage path area based on the determined conventional fan speed information, the achieved property type and plane coordinate distance information corresponding to each sub-stage path area, and the airflow field change status. This is conducive to improving the comprehensiveness, integrity and rationality of the method for determining the target fan speed information of the sub-stage path area, and is conducive to improving the diversity, flexibility and pertinence of the determination parameters used to determine the target fan speed information, and thus is conducive to improving the accuracy and reliability of the determined target fan speed information for each sub-stage path area.

[0214] In another optional embodiment, the model analysis module 302 determines the target fan speed information of the target air conditioner for each sub-stage path area based on the conventional fan speed information, the achieved property type and plane coordinate distance information corresponding to each sub-stage path area, and the airflow field change status, specifically including:

[0215] For a sub-stage path area whose achievement property type is a natural achievement type, the target fan speed information of the target air conditioner for the sub-stage path area is determined based on the conventional fan speed information;

[0216] For the sub-stage path area whose achievement property type is the additional achievement type, the additional fan speed information corresponding to the sub-stage path area is determined based on the conventional fan speed information, the airflow field change status, and the plane coordinate distance information corresponding to the sub-stage path area; based on the conventional fan speed information and the additional fan speed information, the target fan speed information of the target air conditioner for the sub-stage path area is determined.

[0217] It can be seen that implementation Figure 5The described device can also match the corresponding target wind turbine wind speed information determination method for the sub-stage path area whose achievement property type is a natural achievement type or an additional achievement type, which is conducive to improving the diversity, flexibility and pertinence of the target wind turbine wind speed information determination method, and thus is conducive to improving the pertinence and comprehensiveness of the determination parameters used to determine the target wind turbine wind speed information of the sub-stage path area with different achievement property types, thereby helping to improve the accuracy and reliability of the determined target wind turbine wind speed information.

[0218] In another optional embodiment, the determination module 303 is further configured to determine the current control parameters of the target air conditioner after determining the AI ​​circulating wind control parameters corresponding to the target air conditioner according to the wind speed switching information.

[0219] like Figure 5 As shown, the device may also include:

[0220] The first judgment module 305 is used to judge whether the target air conditioner meets the preset first air flow field adjustment condition according to the current control parameters and the AI ​​circulating air control parameters.

[0221] The determination module 303 is also used to determine the current wind speed and airflow diffusion distribution phenomenon of the current scene when the first judgment module 305 determines that the target air conditioner meets the first airflow field adjustment condition, and analyze the predicted wind speed and airflow diffusion distribution phenomenon of the current scene based on the AI ​​circulating wind control parameters.

[0222] The first judgment module 305 is also used to judge whether the target air conditioner meets the preset second air flow field adjustment condition based on the current wind speed and air flow diffusion distribution phenomenon and the predicted wind speed and air flow diffusion distribution phenomenon. When the judgment result is yes, the air outlet control module 304 executes the step of controlling the target air conditioner to perform the corresponding circulation air outlet control operation according to the AI ​​circulation air control parameters.

[0223] It can be seen that implementation Figure 5 The described device can also control the target air conditioner to perform corresponding circulation air outlet control operations when the target air conditioner meets the first air flow field adjustment conditions and meets the second air flow field adjustment conditions, which is beneficial to improving the comprehensiveness and integrity of the air conditioning circulation air supply control method, and thus is beneficial to improving the accuracy, reliability and rationality of the air conditioning circulation air supply control, thereby helping to improve the timeliness and accuracy of the execution of the air conditioning circulation air outlet control operation.

[0224] In another optional embodiment, the information acquisition module 301 is also used to collect the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area after the air outlet control module 304 controls the target air conditioner to perform the corresponding circulating air outlet control operation according to the AI ​​circulating air control parameters.

[0225] like Figure 5 As shown, the device may also include:

[0226] The second judgment module 306 is used to judge whether the current scene meets the preset wind speed and diffusion distribution consistency conditions based on the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area.

[0227] The air outlet control module 304 is also used to control the target air conditioner to perform corresponding air outlet adjustment operations according to the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area when the second judgment module 306 determines that the current scene does not meet the wind speed and diffusion distribution consistency conditions.

[0228] It can be seen that implementation Figure 5 The described device can also provide an air outlet adjustment function for the air conditioner. When the current scene does not meet the wind speed and diffusion distribution consistency conditions, the target air conditioner is controlled to perform corresponding air outlet adjustment operations according to the current wind speed and air flow diffusion distribution corresponding to each sub-stage path area, which is conducive to improving the comprehensiveness and integrity of the air conditioning circulation air supply control method, and thus is conducive to improving the accuracy and reliability of the air outlet control of the air conditioner, thereby facilitating the consistency of wind speed and air flow diffusion distribution in the distant and near areas of the space where the target air conditioner is located.

[0229] Example 4

[0230] See also Figure 6 , Figure 6 This is a schematic diagram of the structure of an air conditioner disclosed in an embodiment of the present invention. Figure 6 The air conditioner described may include a server, wherein the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 6 As shown, the air conditioner may include:

[0231] Air conditioner body;

[0232] A memory 401 storing executable program code;

[0233] a processor 402 coupled to the memory 401;

[0234] Furthermore, it may also include an input interface 403 and an output interface 404 coupled to the processor 402;

[0235] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the air conditioning circulation air supply control method based on multi-modal parameters described in the first or second embodiment.

[0236] Example 5

[0237] An embodiment of the present invention discloses a computer storage medium that stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the air conditioning circulation air supply control method based on multimodal parameters described in Example 1 or Example 2.

[0238] Example 6

[0239] 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 of the air conditioning circulation air supply control method based on multi-modal parameters described in Example 1 or Example 2.

[0240] The device embodiments described above are merely illustrative, wherein the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, i.e., they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Those skilled in the art can understand and implement the present invention without inventive effort.

[0241] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, or of course, by means of hardware. Based on this understanding, the above technical solution, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, the storage medium including 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 programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0242] Finally, it should be noted that the air conditioning circulation air supply control method and device based on multi-modal parameters and the air conditioner disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, which are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that it is still possible to modify the technical solutions recorded in the aforementioned embodiments, or to make equivalent replacements for some of the technical features therein. 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. A method for controlling air circulation and air supply based on multimodal parameters, characterized in that: The method comprises: Obtaining multimodal parameters corresponding to a target air conditioner in a current scene, the multimodal parameters including one or more of operating parameters of the target air conditioner, relationship parameters between the target air conditioner and the current scene, and environmental parameters of the current scene; Inputting the multimodal parameters into the trained and converged AI circulating wind control model for analysis, and obtaining wind speed switching information of the target air conditioner's fan circulating speed changing over time; Determine, based on the wind speed switching information, AI circulating air control parameters corresponding to the target air conditioner, wherein the AI ​​circulating air control parameters include at least an air outlet initial velocity parameter, a holding time parameter, and a cycle time parameter; According to the AI ​​circulating air control parameters, the target air conditioner is controlled to perform corresponding circulating air control operations so that the wind speed and airflow diffusion distribution corresponding to the distant area and the near area of ​​the target air conditioner in the current scene are consistent; Furthermore, the multimodal parameters are input into the trained and converged AI circulating wind control model for analysis to obtain wind speed switching information of the target air conditioner's fan circulating speed changing over time, including: Determining an air outlet path of the target air conditioner according to the operating parameters, the relationship parameters, and the environmental parameters, and determining a change in the airflow field of the current scene according to the relationship parameters and the environmental parameters; According to the change of the airflow field, a corresponding path stage division operation is performed on the air outlet range path to obtain one or more sub-stage path areas; Determining the plane coordinate distance information corresponding to each of the sub-stage path areas and the target air conditioner; Determining target fan speed information of the target air conditioner for each sub-stage path area based on the airflow field change status, each sub-stage path area and its corresponding plane coordinate distance information, the expected wind speed of the current scene, and the airflow diffusion distribution information; Determining the required time information for the fan of the target air conditioner to reach each of the sub-stage path areas based on the airflow field change status and each of the sub-stage path areas and their corresponding plane coordinate distance information; Determining the wind speed switching information of the fan cycle speed of the target air conditioner as it changes over time based on the target fan wind speed information and the required time information of each sub-stage path area; Among them, the first fan wind speed value corresponding to the sub-stage path area that meets the preset condition of being far away from the air conditioner is greater than the second fan wind speed value corresponding to the sub-stage path area that meets the preset condition of being close to the air conditioner.

2. The air conditioning circulation air supply control method based on multi-modal parameters according to claim 1 is characterized in that: The step of determining the wind speed switching information of the target air conditioner fan cycle speed that changes with time based on the target fan wind speed information and the required time information of each sub-stage path area includes: Determining the maintainability of the wind speed and airflow diffusion distribution in the current scenario based on the change in the airflow field; Determining energy-saving operation mode information and energy-saving operation duration information of the target air conditioner according to the maintainable condition; According to the energy-saving operation mode information, the energy-saving operation duration information, the target fan speed information of each sub-stage path area and the required time information, the wind speed switching information of the fan cycle speed of the target air conditioner that changes with time is determined.

3. The air conditioning circulation air supply control method based on multi-modal parameters according to claim 1, characterized in that: Determining the target fan speed information of the target air conditioner for each sub-stage path area according to the airflow field change condition, each sub-stage path area and its corresponding plane coordinate distance information, the expected wind speed of the current scene, and the airflow diffusion distribution information includes: Determining, based on the airflow field change condition, each sub-stage path area and its corresponding plane coordinate distance information, the achieved property type of each sub-stage path area for the expected airflow field phenomenon, wherein the achieved property type includes a natural achieved type or an additional achieved type; Determining conventional fan wind speed information of the target air conditioner for the current scene based on the airflow field change condition and the determined expected wind speed and airflow diffusion distribution information for the current scene; According to the conventional fan speed information, the achieved property type and plane coordinate distance information corresponding to each sub-stage path area, and the airflow field change condition, the target fan speed information of the target air conditioner for each sub-stage path area is determined.

4. The air conditioning circulation air supply control method based on multi-modal parameters according to claim 3 is characterized in that: Determining the target fan speed information of the target air conditioner for each of the sub-stage path areas based on the conventional fan speed information, the achieved property type and plane coordinate distance information corresponding to each of the sub-stage path areas, and the airflow field change condition includes: For the sub-stage path area where the achievement property type is the natural achievement type, determining the target fan speed information of the target air conditioner for the sub-stage path area according to the conventional fan speed information; For the sub-stage path area whose achievement property type is the additional achievement type, the additional fan speed information corresponding to the sub-stage path area is determined based on the conventional fan speed information, the airflow field change condition, and the plane coordinate distance information corresponding to the sub-stage path area; based on the conventional fan speed information and the additional fan speed information, the target fan speed information of the target air conditioner for the sub-stage path area is determined.

5. The air conditioning circulation air supply control method based on multimodal parameters according to any one of claims 1 to 4, characterized in that: After determining the AI ​​circulating air control parameter corresponding to the target air conditioner according to the wind speed switching information, the method further includes: Determining current control parameters of the target air conditioner, and judging whether the target air conditioner meets a preset first airflow field adjustment condition based on the current control parameters and the AI ​​circulating air control parameters; When it is determined that the target air conditioner meets the first airflow field adjustment condition, the current wind speed and airflow diffusion distribution phenomenon of the current scene are determined, and the predicted wind speed and airflow diffusion distribution phenomenon of the current scene are analyzed based on the AI ​​circulating air control parameters; Determining whether the target air conditioner meets a preset second air flow field adjustment condition based on the current wind speed and air flow diffusion distribution phenomenon and the predicted wind speed and air flow diffusion distribution phenomenon; When it is determined that the target air conditioner meets the second air flow field adjustment condition, the step of controlling the target air conditioner to perform the corresponding circulating air control operation according to the AI ​​circulating air control parameter is executed.

6. The air conditioning circulation air supply control method based on multimodal parameters according to any one of claims 1 to 4, characterized in that: After controlling the target air conditioner to perform a corresponding circulating air control operation according to the AI ​​circulating air control parameter, the method further includes: Collect the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area; Determine whether the current scene meets the preset wind speed and diffusion distribution consistency conditions based on the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area; When it is determined that the current scene does not meet the wind speed and diffusion distribution consistency conditions, the target air conditioner is controlled to perform corresponding air outlet adjustment operations according to the current wind speed and airflow diffusion distribution corresponding to each sub-stage path area.

7. An air conditioning circulation air supply control device based on multi-modal parameters, characterized in that: The device is used to execute the air conditioning circulation air supply control method based on multimodal parameters according to any one of claims 1 to 6, and the device includes: an information acquisition module, configured to acquire multimodal parameters corresponding to a target air conditioner in a current scene, the multimodal parameters including one or more of operating parameters of the target air conditioner, relationship parameters between the target air conditioner and the current scene, and environmental parameters of the current scene; A model analysis module is used to input the multimodal parameters into the trained and converged AI circulating wind control model for analysis, and obtain wind speed switching information of the fan circulating speed of the target air conditioner as it changes over time; a determination module, configured to determine AI circulating air control parameters corresponding to the target air conditioner according to the wind speed switching information, wherein the AI ​​circulating air control parameters include at least an air outlet initial velocity parameter, a holding time parameter, and a cycle time parameter; The air outlet control module is used to control the target air conditioner to perform corresponding circulating air outlet control operations according to the AI ​​circulating air control parameters, so that the wind speed and airflow diffusion distribution corresponding to the distant area and the near area in the current scene are consistent.

8. An air conditioner, characterized in that: The air conditioner comprises: Air conditioner body; 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 air conditioning circulation and air supply control method based on multi-modal parameters as described in any one of claims 1 to 6.

9. 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 air conditioning circulation air supply control method based on multi-modal parameters as described in any one of claims 1 to 6.

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