Air conditioning intelligent control method and device based on working area information

Abstract

The present invention relates to the field of intelligent air conditioning control technology, and discloses an intelligent air conditioning control method and device based on work area information. The method includes: determining the closest distance value and the farthest distance value corresponding to the target air conditioner and the required work area based on the work area information and scene area information; determining the maximum longitudinal distance value and the maximum lateral distance value corresponding to the required work area based on the work area information; performing corresponding control operations on the target air conditioner based on the expected wind speed and airflow diffusion distribution information, the closest distance value, the farthest distance value, the maximum longitudinal distance value, and the maximum lateral distance value, so as to match the wind speed and airflow diffusion distribution phenomena between different sub-areas in the required work area. It can be seen that the present invention can improve the control accuracy and control reliability of the air conditioner, improve the comfort of users in the required work area and the overall sense of the area, and is conducive to improving the user experience and usage stickiness of the intelligent air conditioner.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent air conditioning control, and in particular to an intelligent air conditioning control method and device based on working area information. 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 intelligent air-conditioning control method and device based on working area information, which can improve the control accuracy and control reliability of the air-conditioning.

[0004] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent air conditioning control method based on work area information, the method comprising:

[0005] Determine the work area information corresponding to the required work area that the target air conditioner is responsible for, and determine the scene area information corresponding to the spatial scene where the target air conditioner is located;

[0006] Determining, based on the working area information and the scene area information, a minimum distance value and a maximum distance value between the target air conditioner and the required working area;

[0007] Determine the maximum longitudinal distance value and the maximum lateral distance value corresponding to the required working area according to the working area information;

[0008] According to the expected wind speed and airflow diffusion distribution information of the required working area, the closest distance value, the farthest distance value, the maximum longitudinal distance value and the maximum lateral distance value, corresponding control operations are performed on the target air conditioner to match the wind speed and airflow diffusion distribution phenomena between different sub-areas in the required working area.

[0009] As an optional embodiment, in the first aspect of the present invention, performing corresponding control operations on the target air conditioner based on the determined expected wind speed and airflow diffusion distribution information of the required working area, the closest distance value, the farthest distance value, the maximum longitudinal distance value, and the maximum lateral distance value includes:

[0010] Determining a first control parameter of the target air conditioner for a first area point in the required working area according to the determined expected wind speed and airflow diffusion distribution information of the required working area and the minimum distance value;

[0011] determining, based on the expected wind speed and airflow diffusion distribution information and the maximum interval distance value, a second control parameter of the target air conditioner for a second area point in the required working area;

[0012] determining, based on the first control parameter, the second control parameter, the maximum longitudinal distance value, and the maximum lateral distance value, a predicted wind speed and airflow diffusion distribution phenomenon of the required working area based on the target air conditioner;

[0013] According to the predicted wind speed and airflow diffusion distribution phenomenon, the first control parameter and the second control parameter, corresponding control operations are performed on the target air conditioner.

[0014] As an optional embodiment, in the first aspect of the present invention, performing corresponding control operations on the target air conditioner based on the predicted wind speed and airflow diffusion distribution phenomenon, the first control parameter, and the second control parameter includes:

[0015] According to the predicted wind speed and airflow diffusion distribution phenomenon, it is determined whether the required working area meets the preset expected wind speed and airflow phenomenon conditions;

[0016] When it is determined that the required working area meets the expected wind speed and airflow phenomenon condition, performing corresponding control operations on the target air conditioner according to the first control parameter and the second control parameter;

[0017] When it is determined that the required working area does not meet the expected wind speed and airflow phenomenon conditions, the difference information is determined based on the predicted wind speed and airflow diffusion distribution phenomenon and the expected wind speed and airflow diffusion distribution information; based on the difference information, the positive and negative impact information of the required working area on the wind speed and airflow diffusion distribution is determined; based on the positive and negative impact information, corresponding adjustment and optimization operations are performed on the first control parameter and the second control parameter to obtain a third control parameter; based on the third control parameter, corresponding control operations are performed on the target air conditioner.

[0018] As an optional embodiment, in the first aspect of the present invention, determining the minimum distance value and the maximum distance value between the target air conditioner and the required working area based on the working area information and the scene area information includes:

[0019] Determining, based on the working area information, a first area point in the required working area that is closest to the target air conditioner, and determining, based on the working area information and the scene area information, a minimum distance between the first area point and the target air conditioner;

[0020] According to the working area information, a second area point in the required working area that is the farthest away from the target air conditioner is determined, and according to the working area information and the scene area information, a maximum distance value between the second area point and the target air conditioner is determined.

[0021] As an optional embodiment, in the first aspect of the present invention, after determining the work area information corresponding to the required work area that the target air conditioner is responsible for and determining the scene area information corresponding to the spatial scene in which the target air conditioner is located, the method further includes:

[0022] Determining, based on the work area information, the regional properties of the required work area, where the regional properties include location point properties or location range properties;

[0023] When the area property includes the location range property, determining the area and orientation information of the required working area according to the working area information;

[0024] Determining the adjustable air outlet accuracy of the target air conditioner for the required working area according to the set air outlet configuration information of the target air conditioner and the area and orientation information of the area;

[0025] According to the adjustable air outlet precision, determining whether the target air conditioner meets the preset sub-area precise air outlet conditions;

[0026] When it is determined that the target air conditioner meets the precise air outlet conditions of the sub-area, the step of determining the minimum distance value and the maximum distance value corresponding to the target air conditioner and the required working area based on the working area information and the scene area information is executed.

[0027] As an optional embodiment, in the first aspect of the present invention, judging whether the required working area meets the preset expected wind speed and airflow phenomenon conditions based on the predicted wind speed and airflow diffusion distribution phenomenon includes:

[0028] Determining the predicted wind speed and airflow conditions of each working sub-area included in the pre-divided required working area based on the predicted wind speed and airflow diffusion distribution phenomenon;

[0029] According to the predicted wind speed and airflow conditions of each working sub-area, determining whether all the working sub-areas meet the preset parameter uniformity conditions;

[0030] When it is determined that all the working sub-areas do not meet the parameter uniformity condition, determining that the required working area does not meet the preset expected wind speed and airflow phenomenon condition;

[0031] When it is determined that all the working sub-areas meet the parameter uniformity condition, determining that the required working area meets the preset expected wind speed and airflow phenomenon condition;

[0032] The parameter unification condition includes at least an airflow parameter unification condition and a wind speed parameter unification condition.

[0033] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0034] When it is determined that all the working sub-areas meet the parameter unification condition, judging whether all the working sub-areas meet the preset parameter matching condition based on the expected wind speed and airflow diffusion distribution information and the predicted wind speed and airflow conditions of each working sub-area;

[0035] When it is determined that all the working sub-areas meet the parameter matching condition, executing the step of determining whether the required working area meets the preset expected wind speed and airflow phenomenon condition;

[0036] When it is determined that all the working sub-areas do not meet the parameter matching condition, determining that the required working area does not meet the preset expected wind speed and airflow phenomenon condition;

[0037] The parameter matching conditions include at least an airflow parameter matching condition and a wind speed parameter matching condition.

[0038] A second aspect of the present invention discloses an intelligent air conditioning control device based on work area information, the device comprising:

[0039] An information determination module, configured to determine the work area information corresponding to the required work area that the target air conditioner is responsible for, and determine the scene area information corresponding to the spatial scene where the target air conditioner is located;

[0040] a determination module, configured to determine, based on the working area information and the scene area information, a minimum distance value and a maximum distance value between the target air conditioner and the required working area; and determine, based on the working area information, a maximum longitudinal distance value and a maximum lateral distance value corresponding to the required working area;

[0041] A control module is used to perform corresponding control operations on the target air conditioner based on the expected wind speed and airflow diffusion distribution information of the required working area, the closest distance value, the farthest distance value, the maximum longitudinal distance value and the maximum lateral distance value, so as to match the wind speed and airflow diffusion distribution phenomena between different sub-areas in the required working area.

[0042] As an optional embodiment, in the second aspect of the present invention, the control module performs corresponding control operations on the target air conditioner according to the expected wind speed and airflow diffusion distribution information of the required working area, the closest distance value, the farthest distance value, the maximum longitudinal distance value, and the maximum lateral distance value, specifically including:

[0043] Determining a first control parameter of the target air conditioner for a first area point in the required working area according to the determined expected wind speed and airflow diffusion distribution information of the required working area and the minimum distance value;

[0044] determining, based on the expected wind speed and airflow diffusion distribution information and the maximum interval distance value, a second control parameter of the target air conditioner for a second area point in the required working area;

[0045] determining, based on the first control parameter, the second control parameter, the maximum longitudinal distance value, and the maximum lateral distance value, a predicted wind speed and airflow diffusion distribution phenomenon of the required working area based on the target air conditioner;

[0046] According to the predicted wind speed and airflow diffusion distribution phenomenon, the first control parameter and the second control parameter, corresponding control operations are performed on the target air conditioner.

[0047] As an optional embodiment, in the second aspect of the present invention, the control module performs corresponding control operations on the target air conditioner according to the predicted wind speed and airflow diffusion distribution phenomenon, the first control parameter, and the second control parameter, specifically including:

[0048] According to the predicted wind speed and airflow diffusion distribution phenomenon, it is determined whether the required working area meets the preset expected wind speed and airflow phenomenon conditions;

[0049] When it is determined that the required working area meets the expected wind speed and airflow phenomenon condition, performing corresponding control operations on the target air conditioner according to the first control parameter and the second control parameter;

[0050] When it is determined that the required working area does not meet the expected wind speed and airflow phenomenon conditions, the difference information is determined based on the predicted wind speed and airflow diffusion distribution phenomenon and the expected wind speed and airflow diffusion distribution information; based on the difference information, the positive and negative impact information of the required working area on the wind speed and airflow diffusion distribution is determined; based on the positive and negative impact information, corresponding adjustment and optimization operations are performed on the first control parameter and the second control parameter to obtain a third control parameter; based on the third control parameter, corresponding control operations are performed on the target air conditioner.

[0051] As an optional embodiment, in the second aspect of the present invention, the determination module determines the minimum distance value and the maximum distance value corresponding to the target air conditioner and the required working area based on the working area information and the scene area information, specifically including:

[0052] Determining, based on the working area information, a first area point in the required working area that is closest to the target air conditioner, and determining, based on the working area information and the scene area information, a minimum distance between the first area point and the target air conditioner;

[0053] According to the working area information, a second area point in the required working area that is the farthest away from the target air conditioner is determined, and according to the working area information and the scene area information, a maximum distance value between the second area point and the target air conditioner is determined.

[0054] As an optional embodiment, in the second aspect of the present invention, the determination module is further configured to, after the information determination module determines the working area information corresponding to the required working area that the target air conditioner is responsible for and determines the scene area information corresponding to the spatial scene in which the target air conditioner is located, determine the regional properties of the required working area according to the working area information, the regional properties including the location point properties or the location range properties; when the regional properties include the location range properties, determine the regional area and orientation information of the required working area according to the working area information; determine the adjustable air outlet accuracy of the target air conditioner for the required working area according to the set air outlet configuration information of the target air conditioner and the regional area and orientation information;

[0055] And, the device further comprises:

[0056] A judgment module is used to judge whether the target air conditioner meets the preset sub-area precise air outlet conditions based on the adjustable air outlet accuracy; when it is judged that the target air conditioner meets the sub-area precise air outlet conditions, the determination module executes the steps of determining the minimum distance value and the maximum distance value corresponding to the target air conditioner and the required working area based on the working area information and the scene area information.

[0057] As an optional embodiment, in the second aspect of the present invention, the control module determines whether the required working area meets the preset expected wind speed and airflow phenomenon conditions based on the predicted wind speed and airflow diffusion distribution phenomenon, specifically including:

[0058] Determining the predicted wind speed and airflow conditions of each working sub-area included in the pre-divided required working area based on the predicted wind speed and airflow diffusion distribution phenomenon;

[0059] According to the predicted wind speed and airflow conditions of each working sub-area, determining whether all the working sub-areas meet the preset parameter uniformity conditions;

[0060] When it is determined that all the working sub-areas do not meet the parameter uniformity condition, determining that the required working area does not meet the preset expected wind speed and airflow phenomenon condition;

[0061] When it is determined that all the working sub-areas meet the parameter uniformity condition, determining that the required working area meets the preset expected wind speed and airflow phenomenon condition;

[0062] The parameter unification condition includes at least an airflow parameter unification condition and a wind speed parameter unification condition.

[0063] As an optional embodiment, in the second aspect of the present invention, the control module is further configured to, when it is determined that all the working sub-areas satisfy the parameter unification condition, determine whether all the working sub-areas satisfy a preset parameter matching condition based on the expected wind speed and airflow diffusion distribution information and the predicted wind speed and airflow conditions of each of the working sub-areas;

[0064] When it is determined that all the working sub-areas meet the parameter matching condition, executing the step of determining whether the required working area meets the preset expected wind speed and airflow phenomenon condition;

[0065] When it is determined that all the working sub-areas do not meet the parameter matching condition, determining that the required working area does not meet the preset expected wind speed and airflow phenomenon condition;

[0066] The parameter matching conditions include at least an airflow parameter matching condition and a wind speed parameter matching condition.

[0067] A third aspect of the present invention discloses another intelligent air conditioning control device based on work area information, the device comprising:

[0068] a memory storing executable program code;

[0069] a processor coupled to the memory;

[0070] The processor calls the executable program code stored in the memory to execute an intelligent air conditioning control method based on working area information disclosed in the first aspect of the present invention.

[0071] 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 intelligent air conditioning control method based on working area information disclosed in the first aspect of the present invention.

[0072] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0073] In an embodiment of the present invention, the working area information corresponding to the demand working area that the target air conditioner is responsible for is determined, and the scene area information corresponding to the spatial scene in which the target air conditioner is located is determined; based on the working area information and the scene area information, the closest distance value and the farthest distance value corresponding to the target air conditioner and the demand working area are determined; based on the working area information, the maximum longitudinal distance value and the maximum lateral distance value corresponding to the demand working area are determined; based on the expected wind speed and airflow diffusion distribution information of the determined demand working area, the closest distance value, the farthest distance value, the maximum longitudinal distance value and the maximum lateral distance value, corresponding control operations are performed on the target air conditioner to match the wind speed and airflow diffusion distribution phenomena between different sub-areas in the demand working area. It can be seen that the present invention can determine the closest distance value and the farthest distance value corresponding to the target air conditioner and the required working area, the maximum longitudinal distance value and the maximum lateral distance value corresponding to the required working area according to the working area information and the scene area information, and then perform corresponding control operations on the target air conditioner, which is beneficial to improving the comprehensiveness and rationality of the intelligent control method of the air conditioner based on the working area information, and thus is beneficial to improving the control accuracy and control reliability of the air conditioner, and can enable the intelligent air conditioner to achieve the function of matching the wind speed and airflow diffusion distribution of the required working area it is responsible for, so as to cope with the technical problem that the existing air conditioner uses a unified air outlet parameter to the required working area, so that the wind speed and airflow effects of different sub-areas in the required working area are not synchronized, improve the functionality and humanization of the intelligent air conditioner, and improve the comfort of the user in the required working area and the overall sense of the area, which is beneficial to improving the user experience of using the intelligent air conditioner, and thus is beneficial to improving the use viscosity of the intelligent air conditioner. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] 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.

[0075] Figure 1 This is a schematic diagram of a scenario applicable to a method for intelligently controlling an air conditioner based on work area information disclosed in an embodiment of the present invention;

[0076] Figure 2 This is a flow chart of an intelligent air conditioning control method based on work area information disclosed in an embodiment of the present invention;

[0077] Figure 3 This is a flow chart of another method for intelligently controlling an air conditioner based on working area information disclosed in an embodiment of the present invention;

[0078] Figure 4 This is a schematic structural diagram of an intelligent air-conditioning control device based on working area information disclosed in an embodiment of the present invention;

[0079] Figure 5 This is a structural diagram of another intelligent air-conditioning control device based on working area information disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0080] 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.

[0081] 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.

[0082] 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.

[0083] The present invention discloses an intelligent air conditioning control method and device based on work area information. The method and device can determine the closest distance value and the longest distance value corresponding to the target air conditioner and the required work area, as well as the maximum longitudinal distance value and the maximum lateral distance value corresponding to the required work area, based on the work area information and scene area information, and then perform corresponding control operations on the target air conditioner. This method is conducive to improving the comprehensiveness and rationality of the intelligent air conditioning control method based on work area information, thereby improving the control accuracy and control reliability of the air conditioner. It can enable the intelligent air conditioner to achieve the function of matching the wind speed and airflow diffusion distribution of the required work area it is responsible for, so as to address the technical problem that the existing air conditioner uses a unified air outlet parameter to the required work area, resulting in the wind speed and airflow effects of different sub-areas in the required work area being out of sync. This method improves the functionality and humanization of the intelligent air conditioner, and improves the comfort of users in the required work area and the overall sense of the area, thereby improving the user experience of the intelligent air conditioner and thus improving the user stickiness of the intelligent air conditioner. The following are detailed descriptions.

[0084] In order to better understand the method and device for intelligent air conditioning control based on working area information described in the present invention, the scenario architecture applicable to the method for intelligent air conditioning control based on working area information is first described. Specifically, the scenario architecture can be as follows: Figure 1As shown, the scenarios to which the intelligent air-conditioning control method based on working area information is applicable may include users and smart air-conditioners. Specifically, the required working area that the target air-conditioner is responsible for is determined according to the area where the user is located, and then the working area information of the required working area is determined, and the spatial scene in which the target air-conditioner is located is determined according to the location of the target air-conditioner, and then the scene area information of the spatial scene is determined; according to the working area information and the scene area information, the closest distance value, the farthest distance value, the maximum longitudinal distance value and the maximum lateral distance value are determined; further based on the expected wind speed and airflow diffusion distribution information, the closest distance value, the farthest distance value, the maximum longitudinal distance value and the maximum lateral distance value, the corresponding control operations are performed on the target air-conditioner. For example: determine the first area point in the required working area that is closest to the target air conditioner, and determine the second area point in the required working area that is farthest from the target air conditioner, further determine the first control parameter for the first area point, and determine the second control parameter for the second area point, and perform corresponding control operations on the target air conditioner according to the first control parameter and the second control parameter, so that the wind speed and airflow diffusion distribution phenomena between different sub-areas (such as the first area point and the second area point) in the required working area are consistent, thereby improving the user's comfort in the required working area and the overall perception of the area.

[0085] It should be noted that Figure 1 The scenario diagram shown is only intended to illustrate a scenario in which an intelligent air conditioning control method based on work area information is applicable. The various smart devices involved are only shown schematically. The specific structure / size / shape / location / installation method, as well as 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.

[0086] Example 1

[0087] See also Figure 2 , Figure 2 This is a flow chart of an intelligent air conditioning control method based on working area information disclosed in an embodiment of the present invention. Figure 2 The described method can be applied to a smart air conditioner, wherein the smart 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 intelligent air conditioning control method based on working area information includes the following operations:

[0088] 101. Determine the work area information corresponding to the required work area that the target air conditioner is responsible for, and determine the scene area information corresponding to the spatial scene where the target air conditioner is located.

[0089] Optionally, the required working area that the target air conditioner is responsible for can be understood as the area where the target air conditioner needs to provide targeted air outlet; further, the required working area can be the area where at least one user and / or at least one device to be blown by the wind is located, or it can be an area determined according to other working area determination methods (such as a pre-set working area, etc.), and the embodiments of the present invention do not limit this.

[0090] Optionally, the work area information corresponding to the required work area may include but is not limited to one or more of the area information, area location information, area orientation information, area layout information, area placement information, area environment information and other area information of the required work area, and is not limited in the embodiments of the present invention.

[0091] Optionally, the scene area information corresponding to the spatial scene may include, but is not limited to, one or more of the regional area information, regional location information, regional orientation information, regional layout information, regional placement information, regional environment information and other regional information of the spatial scene, and is not limited in the embodiments of the present invention.

[0092] Optionally, the required working area that the target air conditioner is responsible for and the spatial scene where the target air conditioner is located. For example: the location where the target air conditioner is located (i.e., the spatial scene) may include the required working area that the target air conditioner is responsible for, and the location where the target air conditioner is located (i.e., the spatial scene) may also be independent of the required working area that the target air conditioner is responsible for. This is not limited in the embodiments of the present invention.

[0093] Further optionally, before determining the work area information corresponding to the required work area that the target air conditioner is responsible for and determining the scene area information corresponding to the spatial scene where the target air conditioner is located, the method may further include the following operations:

[0094] Determining whether a target trigger instruction for triggering the operation of a target air conditioner in accordance with the working area information is received;

[0095] When it is determined that a target trigger instruction is received, the steps of determining the work area information corresponding to the required work area that the target air conditioner is responsible for and determining the scene area information corresponding to the spatial scene where the target air conditioner is located are performed;

[0096] 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 mode of the working area information regulation of the target air conditioner is received from the target user is performed again.

[0097] 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 control mode based on the working area information 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 on the smart terminal a related button for running the "air conditioning control mode based on the working area information" for the target air conditioner, and the smart terminal communicates with the WiFi module corresponding to the target air conditioner to obtain the target trigger instruction. The embodiment of the present invention is not limited to this. Further optionally, 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 intelligent air conditioner control device based on work area information, etc.), or in a smart device associated with the target air conditioner (such as: a smart terminal capable of controlling the target air conditioner, other smart home appliances in a smart home system, and a smart 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.

[0098] 102. Determine the minimum distance and maximum distance between the target air conditioner and the required working area based on the working area information and the scene area information.

[0099] Optionally, the minimum distance value between the target air conditioner and the required working area can be understood as the distance value between the target air conditioner and the target area point that is closest to all area points included in the required working area, which is not limited in the embodiment of the present invention.

[0100] Optionally, the maximum distance value between the target air conditioner and the required working area can be understood as the distance value between the target air conditioner and the target area point with the maximum distance among all area points included in the required working area, which is not limited in the embodiment of the present invention.

[0101] 103. Determine the maximum longitudinal distance value and the maximum lateral distance value corresponding to the required working area based on the working area information.

[0102] 104. Based on the expected wind speed and airflow diffusion distribution information of the determined required working area, the closest distance value, the farthest distance value, the maximum longitudinal distance value, and the maximum lateral distance value, corresponding control operations are performed on the target air conditioner to match the wind speed and airflow diffusion distribution phenomena between different sub-areas in the required working area.

[0103] Optionally, the wind speed and airflow diffusion distribution phenomena between different sub-areas in the above-mentioned required working area match each other. The wind speed and airflow diffusion distribution phenomena between different sub-areas in the required working area may be consistent and unified, or the wind speed and airflow diffusion distribution phenomena between different sub-areas in the required working area may match the expected wind speed and airflow distribution phenomena between different sub-areas. Further, an example is given to illustrate: achieving the same wind speed and airflow diffusion distribution at far and near locations in the required working area is not limited in the embodiments of the present invention.

[0104] It can be seen that the intelligent air conditioning control method based on working area information described in the embodiment of the present invention can determine the closest distance value and the farthest distance value corresponding to the target air conditioner and the required working area, the maximum longitudinal distance value and the maximum lateral distance value corresponding to the required working area according to the working area information and the scene area information, and then perform corresponding control operations on the target air conditioner, which is conducive to improving the comprehensiveness and rationality of the intelligent air conditioning control method based on working area information, and thus is conducive to improving the control accuracy and control reliability of the air conditioner, and can enable the intelligent air conditioner to achieve the function of matching the wind speed and airflow diffusion distribution of the required working area it is responsible for, so as to address the technical problem that the existing air conditioner uses a unified air outlet parameter to the required working area, so that the wind speed and airflow effects of different sub-areas in the required working area are not synchronized, improve the functionality and humanization of the intelligent air conditioner, and improve the comfort of the user in the required working area and the overall sense of the area, which is conducive to improving the user experience of using the intelligent air conditioner, and thus is conducive to improving the use viscosity of the intelligent air conditioner.

[0105] In an optional embodiment, the aforementioned control operation for the target air conditioner based on the expected wind speed and airflow diffusion distribution information of the required working area, the closest distance value, the farthest distance value, the maximum longitudinal distance value, and the maximum lateral distance value may include:

[0106] Determining a first control parameter of the target air conditioner for a first area point in the required working area based on the expected wind speed and airflow diffusion distribution information of the determined required working area and the minimum distance value;

[0107] Determining a second control parameter of the target air conditioner for a second area point in the required working area based on the expected wind speed and airflow diffusion distribution information and the maximum interval distance value;

[0108] Determining the predicted wind speed and airflow diffusion distribution phenomenon of the required working area based on the target air conditioner according to the first control parameter, the second control parameter, the maximum longitudinal distance value, and the maximum lateral distance value;

[0109] According to the predicted wind speed and airflow diffusion distribution phenomenon, the first control parameter and the second control parameter, corresponding control operations are performed on the target air conditioner.

[0110] Further optionally, determining the first control parameter of the target air conditioner for the first regional point in the required working area based on the expected wind speed and airflow diffusion distribution information and the minimum distance value of the determined required working area may include:

[0111] Determine the first distance reduction effect result based on the minimum distance value and the preset distance reduction effect analysis model for wind speed and airflow diffusion distribution, and determine the basic control parameters of the target air conditioner based on the expected wind speed and airflow diffusion distribution information of the required working area;

[0112] According to the first distance weakening effect result and the basic control parameter, a first control parameter of the target air conditioner for a first area point in the required working area is determined.

[0113] Further optionally, determining the second control parameter of the target air conditioner for the second area point in the required working area based on the expected wind speed and airflow diffusion distribution information and the maximum interval distance value may include:

[0114] Determine the second distance reduction effect result based on the maximum interval distance value and the preset distance reduction effect analysis model for wind speed and airflow diffusion distribution, and determine the basic control parameters of the target air conditioner based on the expected wind speed and airflow diffusion distribution information;

[0115] According to the second distance weakening effect result and the basic control parameter, a second control parameter of the target air conditioner for a second area point in the required working area is determined.

[0116] Further optionally, determining the predicted wind speed and airflow diffusion distribution phenomenon of the required working area based on the target air conditioner according to the first control parameter, the second control parameter, the maximum longitudinal distance value, and the maximum lateral distance value may include:

[0117] Determining a first wind speed and airflow effect according to a first control parameter, and determining a second wind speed and airflow effect according to a second control parameter;

[0118] Determining a first comprehensive propagation phenomenon based on the first wind speed and airflow effect, the maximum longitudinal distance value, the maximum lateral distance value, and a preset wind speed and airflow propagation analysis model;

[0119] Determining a second comprehensive propagation phenomenon based on the second wind speed and airflow effect, the maximum longitudinal distance value, the maximum lateral distance value, and a preset wind speed and airflow propagation analysis model;

[0120] According to the first integrated propagation phenomenon and the second integrated propagation phenomenon, the predicted wind speed and airflow diffusion distribution phenomenon of the required working area based on the target air conditioner are determined.

[0121] It can be seen that this optional embodiment can determine the first control parameter for the first area point in the required working area and the second control parameter for the second area point in the required working area to further determine the predicted wind speed and airflow diffusion distribution phenomenon, and then perform control operations on the target air conditioner, which is conducive to improving the comprehensiveness and rationality of the intelligent control method of the air conditioner, and is conducive to improving the diversity, flexibility and pertinence of the control reference parameters used to control the air conditioner, and thus is conducive to improving the control accuracy and control reliability of the air conditioner.

[0122] In another optional embodiment, performing corresponding control operations on the target air conditioner based on the predicted wind speed and airflow diffusion distribution phenomenon, the first control parameter, and the second control parameter may include:

[0123] Based on the predicted wind speed and airflow diffusion distribution phenomenon, determine whether the required working area meets the preset expected wind speed and airflow phenomenon conditions;

[0124] When it is determined that the required working area meets the expected wind speed and airflow phenomenon conditions, the target air conditioner is controlled according to the first control parameter and the second control parameter;

[0125] When it is determined that the required working area does not meet the expected wind speed and airflow phenomenon conditions, the difference information is determined based on the predicted wind speed and airflow diffusion distribution phenomenon and the expected wind speed and airflow diffusion distribution information; based on the difference information, the positive and negative impact information of the required working area on the wind speed and airflow diffusion distribution is determined; based on the positive and negative impact information, corresponding adjustment and optimization operations are performed on the first control parameter and the second control parameter to obtain a third control parameter; based on the third control parameter, corresponding control operations are performed on the target air conditioner.

[0126] Optionally, the difference information may include first difference information at the wind speed level and / or second difference information at the airflow diffusion distribution level, which is not limited in the embodiment of the present invention.

[0127] Optionally, the positive and negative impact information may include but is not limited to specific impact types (such as positive impact type, negative impact type, null impact type, etc.), specific information causing the impact, etc., which is not limited in the embodiment of the present invention.

[0128] Further optionally, for the difference information and positive and negative impact information, an example is given: when the difference information is used to indicate that the predicted wind speed and airflow diffusion distribution phenomenon cannot reach the expected phenomenon of the expected wind speed and airflow diffusion distribution information (for example, the expected phenomenon is that the wind speed of all sub-areas is consistent, but the predicted phenomenon is that the wind speed of all sub-areas is different), the specific impact type of the positive and negative impact information is determined to be a reverse impact type, and the specific information that causes the impact can be further determined; when the difference information is used to indicate that the predicted wind speed and airflow diffusion distribution phenomenon can reach or exceed the expected phenomenon of the expected wind speed and airflow diffusion distribution information (for example, the expected phenomenon is that the wind speed difference of all sub-areas is less than 1, but the predicted phenomenon is that the wind speed of all sub-areas is consistent, that is, there is no difference), the specific impact type of the positive and negative impact information is determined to be a positive impact type, and the specific information that causes the impact can be further determined. The embodiments of the present invention do not limit this.

[0129] Further optionally, performing corresponding adjustment and optimization operations on the first control parameter and the second control parameter according to the positive and negative impact information to obtain the third control parameter may include:

[0130] When the positive and negative impact information is used to represent a negative impact, performing corresponding adjustment and optimization operations on the first control parameter and the second control parameter according to the specific impact content and / or specific affected information included in the positive and negative impact information to obtain a third control parameter so that the target air conditioner achieves the predicted wind speed and airflow diffusion distribution phenomenon;

[0131] When the positive and negative impact information is used to represent the positive impact, the predicted energy loss information corresponding to the target air conditioner is determined according to the first control parameter and the second control parameter; based on the predicted energy loss information, it is judged whether the target air conditioner meets the preset energy-saving requirements; when the judgment result is yes, the first control parameter and the second control parameter are determined as the third control parameter; when the judgment result is no, according to the predicted energy loss information, the energy loss requirement information, the specific impact content and / or the specific affected information included in the positive and negative impact information, the first control parameter and the second control parameter are adjusted and optimized accordingly to obtain the third control parameter so that the target air conditioner meets the preset energy-saving requirements.

[0132] It can be seen that this optional embodiment can match the corresponding target air-conditioning control mode for the required working area that meets the expected wind speed and airflow phenomenon conditions and for the required working area that does not meet the expected wind speed and airflow phenomenon conditions, which is beneficial to improving the comprehensiveness, integrity and rationality of the target control mode, and further beneficial to improving the diversity, flexibility and pertinence of the target air-conditioning control mode, thereby helping to improve the execution rationality, execution accuracy and reliability of the target air-conditioning control operation, and further beneficial to improving the control accuracy and reliability of the target air-conditioning.

[0133] In yet another optional embodiment, the determining of the minimum distance value and the maximum distance value between the target air conditioner and the required working area based on the working area information and the scene area information may include:

[0134] Determine, based on the working area information, a first area point in the required working area that is closest to the target air conditioner, and determine, based on the working area information and the scene area information, a minimum distance between the first area point and the target air conditioner;

[0135] According to the working area information, a second area point in the required working area that is the farthest away from the target air conditioner is determined, and according to the working area information and the scene area information, a maximum distance value between the second area point and the target air conditioner is determined.

[0136] Optionally, the required working area may include one or more area points, which is not limited in the embodiment of the present invention.

[0137] Optionally, the first area point in the required working area that is closest to the target air conditioner can be understood as the first area point being the target area point closest to the target air conditioner among all area points included in the required working area, which is not limited in the embodiment of the present invention.

[0138] Optionally, the second area point in the above-mentioned required working area that is farthest away from the target air conditioner can be understood as the second area point being the target area point farthest from the target air conditioner among all area points included in the required working area, and the embodiment of the present invention is not limited thereto.

[0139] It can be seen that this optional embodiment can determine the first area point in the required working area that is closest to the target air conditioner and then determine the minimum distance value, and determine the second area point in the required working area that is farthest from the target air conditioner and then determine the maximum distance value, which is beneficial to improving the comprehensiveness and rationality of the method for determining the minimum distance value, and thus is beneficial to improving the accuracy and reliability of the determined minimum distance value. In addition, it is also beneficial to improving the comprehensiveness and rationality of the method for determining the maximum distance value, and thus is beneficial to improving the accuracy and reliability of the determined maximum distance value.

[0140] In another optional embodiment, the above-mentioned determination of whether the required working area meets the preset expected wind speed and airflow phenomenon conditions based on the predicted wind speed and airflow diffusion distribution phenomenon may include:

[0141] Based on the predicted wind speed and airflow diffusion distribution phenomenon, determine the predicted wind speed and airflow conditions of each working sub-area included in the pre-divided required working area;

[0142] Based on the predicted wind speed and airflow conditions of each working sub-area, determine whether all working sub-areas meet the preset parameter uniformity conditions;

[0143] When it is determined that all working sub-areas do not meet the parameter uniformity condition, it is determined that the required working area does not meet the preset expected wind speed and airflow phenomenon condition;

[0144] When it is determined that all working sub-areas meet the parameter uniformity condition, it is determined that the required working area meets the preset expected wind speed and airflow phenomenon condition;

[0145] The parameter uniformity condition includes at least a flow parameter uniformity condition and a wind speed parameter uniformity condition.

[0146] Further optionally, judging whether all working sub-areas meet the preset parameter uniformity condition based on the predicted wind speed and airflow conditions of each working sub-area may include:

[0147] Determine, for each working sub-area, a first parameter value for the wind speed level and a second parameter value for the airflow diffusion distribution level based on the predicted wind speed and airflow conditions of the working sub-area;

[0148] Determining whether the first parameter values ​​of all the working sub-areas are consistent and determining whether the second parameter values ​​of all the working sub-areas are consistent;

[0149] When it is determined that the first parameter values ​​of all the working sub-areas are consistent and the second parameter values ​​of all the working sub-areas are consistent, it is determined that all the working sub-areas meet the preset parameter uniformity condition;

[0150] When it is determined that the first parameter values ​​of all the working sub-areas are not all consistent and / or the second parameter values ​​of all the working sub-areas are not all consistent, it is determined that all the working sub-areas do not meet the preset parameter unification condition.

[0151] It can be seen that this optional embodiment can determine the parameter unified condition satisfaction results of all working sub-areas in the required working area, and then determine the expected wind speed and airflow phenomenon condition satisfaction results based on the parameter unified condition satisfaction results, which is conducive to improving the comprehensiveness and rationality of the method for determining the expected wind speed and airflow phenomenon condition satisfaction results, and thus is conducive to improving the accuracy and reliability of the determined expected wind speed and airflow phenomenon condition satisfaction results, thereby helping to improve the execution accuracy and reliability of subsequent target air-conditioning control operations.

[0152] In yet another optional embodiment, the method may further include the following operations:

[0153] When it is determined that all working sub-areas meet the parameter uniformity condition, it is determined whether all working sub-areas meet the preset parameter matching condition based on the expected wind speed and airflow diffusion distribution information and the predicted wind speed and airflow conditions of each working sub-area;

[0154] When it is determined that all working sub-areas meet the parameter matching conditions, the step of determining whether the required working area meets the preset expected wind speed and airflow phenomenon conditions is executed;

[0155] When it is determined that all working sub-areas do not meet the parameter matching conditions, it is determined that the required working area does not meet the preset expected wind speed and airflow phenomenon conditions;

[0156] The parameter matching conditions include at least an airflow parameter matching condition and a wind speed parameter matching condition.

[0157] Further optionally, the above-mentioned determination of whether all working sub-areas meet preset parameter matching conditions based on the expected wind speed and airflow diffusion distribution information and the predicted wind speed and airflow conditions of each working sub-area may include:

[0158] Determining a first expected parameter value for the wind speed level and a second expected parameter value for the airflow diffusion distribution level based on the expected wind speed and airflow diffusion distribution information;

[0159] Determine, for each working sub-area, a first parameter value for the wind speed level and a second parameter value for the airflow diffusion distribution level based on the predicted wind speed and airflow conditions of the working sub-area;

[0160] Determining whether the first parameter values ​​of all the working sub-areas match the first expected parameter value and determining whether the second parameter values ​​of all the working sub-areas match the second expected parameter value;

[0161] When it is determined that the first parameter values ​​of all the working sub-areas match the first expected parameter value and the second parameter values ​​of all the working sub-areas match the second expected parameter value, determining that all the working sub-areas meet the preset parameter matching condition;

[0162] When it is determined that the first parameter values ​​of all working sub-areas do not all match the first expected parameter value and / or the second parameter values ​​of all working sub-areas do not all match the second expected parameter value, it is determined that all working sub-areas do not meet the preset parameter matching conditions.

[0163] It can be seen that this optional embodiment can further determine the parameter matching condition satisfaction results of all working sub-areas when all working sub-areas meet the parameter uniformity conditions, and determine the expected wind speed and airflow phenomenon condition satisfaction results based on the parameter matching condition satisfaction results, which is conducive to improving the comprehensiveness and integrity of the method for determining the expected wind speed and airflow phenomenon condition satisfaction results, and is also conducive to improving the layer-by-layer progressiveness and rationality of the method for determining the expected wind speed and airflow phenomenon condition satisfaction results, and thus is conducive to improving the diversity and flexibility of the determination parameters used to determine the expected wind speed and airflow phenomenon condition satisfaction results, thereby helping to improve the accuracy and reliability of the determined expected wind speed and airflow phenomenon condition satisfaction results.

[0164] Example 2

[0165] See also Figure 3 , Figure 3 This is a flow chart of another method for intelligently controlling air conditioners based on working area information disclosed in an embodiment of the present invention. Figure 3 The described method can be applied to a smart air conditioner, wherein the smart 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 intelligent air conditioning control method based on working area information includes the following operations:

[0166] 201. Determine the work area information corresponding to the required work area that the target air conditioner is responsible for, and determine the scene area information corresponding to the space scene where the target air conditioner is located.

[0167] 202. Determine the regional properties of the required working area based on the working area information. The regional properties include location point properties or location range properties.

[0168] Optionally, the location point property may be understood as the required working area being a target point; the location range property may be understood as the required working area being a range area, which is not limited in the embodiment of the present invention.

[0169] Further optionally, determining the regional nature of the required working area based on the working area information may include:

[0170] Determine the area of ​​the required working area based on the working area information;

[0171] Determine whether the area of ​​the region is greater than or equal to a preset area threshold. When the judgment result is yes, determine that the area properties of the required working area include location range properties; when the judgment result is no, determine that the area properties of the required working area include location point properties.

[0172] 203. When the area property includes a location range property, determine the area and orientation information of the required working area based on the working area information.

[0173] 204. Determine the adjustable air outlet precision of the target air conditioner for the required working area based on the set air outlet configuration information, area, and orientation information of the target air conditioner.

[0174] Optionally, the air outlet configuration information of the target air conditioner may include but is not limited to one or more of the air outlet angle adjustment range information, air outlet angle adjustment unit information, air outlet volume adjustment range information, air outlet volume adjustment unit information, air outlet speed adjustment range information, air outlet speed adjustment unit information, air outlet mode information, air outlet gear information and other air outlet configuration information of the target air conditioner, and is not limited in the embodiments of the present invention.

[0175] Optionally, for the air outlet configuration information, regional area and orientation information, and adjustable air outlet precision, an example is given: when the air outlet angle range represented by the air outlet configuration information has the highest coverage rate for the regional area and orientation information, the greater the adjustable air outlet precision is determined to be; when the air outlet angle adjustment unit represented by the air outlet configuration information is smaller and the regional area and orientation information represent a larger area of ​​the required working area, the greater the adjustable air outlet precision is determined to be. The same applies to other situations, and the embodiments of the present invention do not limit this.

[0176] 205. Based on the adjustable air outlet precision, determine whether the target air conditioner meets the preset sub-area precise air outlet conditions.

[0177] Further optionally, when it is determined that the target air conditioner does not meet the preset sub-area precise air outlet conditions, corresponding control operations are performed on the target air conditioner based on the working area information and scene area information to match the wind speed and airflow diffusion distribution phenomena between as many sub-areas as possible in the required working area.

[0178] Further optionally, judging whether the target air conditioner meets the preset sub-area precise air outlet conditions based on the adjustable air outlet precision may include:

[0179] Determine whether the adjustable air outlet precision is greater than or equal to a preset adjustable air outlet precision threshold;

[0180] When it is determined that the adjustable air outlet precision is greater than or equal to the adjustable air outlet precision threshold, it is determined that the target air conditioner meets the preset sub-area precise air outlet condition;

[0181] When it is determined that the adjustable air outlet precision is less than the adjustable air outlet precision threshold, it is determined that the target air conditioner does not meet the preset sub-area precise air outlet condition.

[0182] 206. When it is determined that the target air conditioner meets the precise air outlet conditions of the sub-area, the closest distance value and the farthest distance value corresponding to the target air conditioner and the required working area are determined based on the working area information and the scene area information; the maximum longitudinal distance value and the maximum lateral distance value corresponding to the required working area are determined based on the working area information; and according to the expected wind speed and airflow diffusion distribution information of the determined required working area, the closest distance value, the farthest distance value, the maximum longitudinal distance value and the maximum lateral distance value, corresponding control operations are performed on the target air conditioner to match the wind speed and airflow diffusion distribution phenomena between different sub-areas in the required working area.

[0183] In the embodiment of the present invention, for other descriptions of steps 201 to 206 , please refer to other detailed descriptions of steps 101 to 104 in the first embodiment, which will not be repeated in the embodiment of the present invention.

[0184] It can be seen that the embodiment of the present invention can determine the closest distance value and the farthest distance value corresponding to the target air conditioner and the required working area, the maximum longitudinal distance value and the maximum lateral distance value corresponding to the required working area according to the working area information and the scene area information, and then perform corresponding control operations on the target air conditioner, which is conducive to improving the comprehensiveness and rationality of the intelligent control method of the air conditioner based on the working area information, and thus is conducive to improving the control accuracy and control reliability of the air conditioner, and can enable the intelligent air conditioner to achieve the function of matching the wind speed and airflow diffusion distribution of the required working area it is responsible for, so as to deal with the technical problem that the existing air conditioner uses a unified air outlet parameter to discharge air to the required working area, resulting in the wind speed and airflow effects of different sub-areas in the required working area being out of sync. Technical problems are solved, the functionality and humanization of smart air conditioners are improved, and the comfort and overall sense of regional perception of users in the required working area are improved, which is conducive to improving the user experience of using smart air conditioners, and thus is conducive to improving the use viscosity of smart air conditioners; and, when the regional properties include location range properties and the target air conditioner meets the preset sub-region precise air outlet conditions, the subsequent target air conditioner control operations based on the nearest distance value, the farthest distance value, the maximum longitudinal distance value and the maximum lateral distance value are executed, which is conducive to improving the comprehensiveness and integrity of the intelligent air conditioner control method based on the working area information, and thus is conducive to improving the execution rationality and reliability of the target air conditioner control operation, and reducing unnecessary waste of air conditioner control resources.

[0185] Example 3

[0186] See also Figure 4 , Figure 4 This is a schematic diagram of the structure of an intelligent air conditioning control device based on working area information disclosed in an embodiment of the present invention. Figure 4The 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 intelligent air conditioning control device based on working area information may include:

[0187] The information determination module 301 is used to determine the working area information corresponding to the required working area that the target air conditioner is responsible for, and to determine the scene area information corresponding to the spatial scene where the target air conditioner is located.

[0188] The determination module 302 is used to determine the minimum distance value and the maximum distance value between the target air conditioner and the required working area according to the working area information and the scene area information; and to determine the maximum longitudinal distance value and the maximum lateral distance value corresponding to the required working area according to the working area information.

[0189] The control module 303 is used to perform corresponding control operations on the target air conditioner based on the expected wind speed and airflow diffusion distribution information of the determined required working area, the closest distance value, the farthest distance value, the maximum longitudinal distance value and the maximum lateral distance value, so as to match the wind speed and airflow diffusion distribution phenomena between different sub-areas in the required working area.

[0190] It can be seen that implementation Figure 4 The described intelligent air-conditioning control device based on working area information can determine the closest distance value and the farthest distance value corresponding to the target air-conditioning and the required working area, the maximum longitudinal distance value and the maximum lateral distance value corresponding to the required working area according to the working area information and scene area information, and then perform corresponding control operations on the target air-conditioning, which is conducive to improving the comprehensiveness and rationality of the intelligent air-conditioning control method based on working area information, and thus is conducive to improving the control accuracy and control reliability of the air-conditioning, and can enable the intelligent air-conditioning to achieve the function of matching the wind speed and airflow diffusion distribution of the required working area it is responsible for, so as to address the technical problem that the existing air-conditioning uses a unified air outlet parameter to the required working area, so that the wind speed and airflow effects of different sub-areas in the required working area are not synchronized, improve the functionality and humanization of the intelligent air-conditioning, and improve the comfort of users in the required working area and the overall sense of the area, which is conducive to improving the user experience of using the intelligent air-conditioning, and thus is conducive to improving the use viscosity of the intelligent air-conditioning.

[0191] In an optional embodiment, the control module 303 performs corresponding control operations on the target air conditioner according to the expected wind speed and airflow diffusion distribution information of the required working area, the minimum distance value, the maximum distance value, the maximum longitudinal distance value, and the maximum lateral distance value, including:

[0192] Determining a first control parameter of the target air conditioner for a first area point in the required working area based on the expected wind speed and airflow diffusion distribution information of the determined required working area and the minimum distance value;

[0193] Determining a second control parameter of the target air conditioner for a second area point in the required working area based on the expected wind speed and airflow diffusion distribution information and the maximum interval distance value;

[0194] Determining the predicted wind speed and airflow diffusion distribution phenomenon of the required working area based on the target air conditioner according to the first control parameter, the second control parameter, the maximum longitudinal distance value, and the maximum lateral distance value;

[0195] According to the predicted wind speed and airflow diffusion distribution phenomenon, the first control parameter and the second control parameter, corresponding control operations are performed on the target air conditioner.

[0196] It can be seen that implementation Figure 5 The described device can determine the first control parameter for the first area point in the required working area and the second control parameter for the second area point in the required working area to further determine the predicted wind speed and airflow diffusion distribution phenomenon, and then perform control operations on the target air conditioner, which is conducive to improving the comprehensiveness and rationality of the intelligent control method of the air conditioner, and is conducive to improving the diversity, flexibility and pertinence of the control reference parameters used to control the air conditioner, and thus is conducive to improving the control accuracy and control reliability of the air conditioner.

[0197] In another optional embodiment, the control module 303 performs corresponding control operations on the target air conditioner according to the predicted wind speed and airflow diffusion distribution phenomenon, the first control parameter, and the second control parameter, specifically including:

[0198] Based on the predicted wind speed and airflow diffusion distribution phenomenon, determine whether the required working area meets the preset expected wind speed and airflow phenomenon conditions;

[0199] When it is determined that the required working area meets the expected wind speed and airflow phenomenon conditions, the target air conditioner is controlled according to the first control parameter and the second control parameter;

[0200] When it is determined that the required working area does not meet the expected wind speed and airflow phenomenon conditions, the difference information is determined based on the predicted wind speed and airflow diffusion distribution phenomenon and the expected wind speed and airflow diffusion distribution information; based on the difference information, the positive and negative impact information of the required working area on the wind speed and airflow diffusion distribution is determined; based on the positive and negative impact information, corresponding adjustment and optimization operations are performed on the first control parameter and the second control parameter to obtain a third control parameter; based on the third control parameter, corresponding control operations are performed on the target air conditioner.

[0201] It can be seen that implementation Figure 5The described device can also match the corresponding target air-conditioning control mode for the required working area that meets the expected wind speed and airflow phenomenon conditions and for the required working area that does not meet the expected wind speed and airflow phenomenon conditions, which is conducive to improving the comprehensiveness, integrity and rationality of the target control mode, and thus is conducive to improving the diversity, flexibility and pertinence of the target air-conditioning control mode, thereby helping to improve the execution rationality, execution accuracy and reliability of the target air-conditioning control operation, and further helping to improve the control accuracy and reliability of the target air-conditioning.

[0202] In another optional embodiment, the determination module 302 determines the minimum distance value and the maximum distance value between the target air conditioner and the required working area according to the working area information and the scene area information, specifically including:

[0203] Determine, based on the working area information, a first area point in the required working area that is closest to the target air conditioner, and determine, based on the working area information and the scene area information, a minimum distance between the first area point and the target air conditioner;

[0204] According to the working area information, a second area point in the required working area that is the farthest away from the target air conditioner is determined, and according to the working area information and the scene area information, a maximum distance value between the second area point and the target air conditioner is determined.

[0205] It can be seen that implementation Figure 5 The described device can also determine the first area point in the required working area that is closest to the target air conditioner and then determine the minimum distance value, and determine the second area point in the required working area that is farthest from the target air conditioner and then determine the maximum distance value, which is conducive to improving the comprehensiveness and rationality of the method for determining the minimum distance value, and thus is conducive to improving the accuracy and reliability of the determined minimum distance value. In addition, it is also conducive to improving the comprehensiveness and rationality of the method for determining the maximum distance value, and thus is conducive to improving the accuracy and reliability of the determined maximum distance value.

[0206] In another optional embodiment, the determination module 302 is also used to determine the regional properties of the required working area according to the working area information after the information determination module 301 determines the working area information corresponding to the required working area that the target air conditioner is responsible for and determines the scene area information corresponding to the spatial scene in which the target air conditioner is located. The regional properties include location point properties or location range properties; when the regional properties include location range properties, the regional area and orientation information of the required working area are determined according to the working area information; and the adjustable air outlet accuracy of the target air conditioner for the required working area is determined according to the set air outlet configuration information and regional area and orientation information of the target air conditioner.

[0207] like Figure 5 As shown, the device may also include:

[0208] The judgment module 304 is used to judge whether the target air conditioner meets the preset sub-area precise air outlet conditions based on the adjustable air outlet accuracy; when it is judged that the target air conditioner meets the sub-area precise air outlet conditions, the determination module 302 executes the steps of determining the minimum distance value and the maximum distance value corresponding to the target air conditioner and the required working area based on the working area information and the scene area information.

[0209] It can be seen that implementation Figure 5 The described device can also execute subsequent target air conditioning control operations based on the closest distance value, the farthest distance value, the maximum longitudinal distance value and the maximum lateral distance value when the regional properties include location range properties and the target air conditioning meets the preset sub-area precise air outlet conditions. This is conducive to improving the comprehensiveness and integrity of the intelligent air conditioning control method based on working area information, and thus is conducive to improving the execution rationality and reliability of the target air conditioning control operation, and reducing unnecessary waste of air conditioning control resources.

[0210] In another optional embodiment, the control module 303 determines whether the required working area meets the preset expected wind speed and airflow phenomenon conditions based on the predicted wind speed and airflow diffusion distribution phenomenon, specifically including:

[0211] Based on the predicted wind speed and airflow diffusion distribution phenomenon, determine the predicted wind speed and airflow conditions of each working sub-area included in the pre-divided required working area;

[0212] Based on the predicted wind speed and airflow conditions of each working sub-area, determine whether all working sub-areas meet the preset parameter uniformity conditions;

[0213] When it is determined that all working sub-areas do not meet the parameter uniformity condition, it is determined that the required working area does not meet the preset expected wind speed and airflow phenomenon condition;

[0214] When it is determined that all working sub-areas meet the parameter uniformity condition, it is determined that the required working area meets the preset expected wind speed and airflow phenomenon condition;

[0215] The parameter uniformity condition includes at least a flow parameter uniformity condition and a wind speed parameter uniformity condition.

[0216] It can be seen that implementation Figure 5The described device can also determine the parameter unified condition satisfaction results of all working sub-areas in the required working area, and then determine the expected wind speed and airflow phenomenon condition satisfaction results based on the parameter unified condition satisfaction results, which is conducive to improving the comprehensiveness and rationality of the method for determining the expected wind speed and airflow phenomenon condition satisfaction results, and thus is conducive to improving the accuracy and reliability of the determined expected wind speed and airflow phenomenon condition satisfaction results, thereby helping to improve the execution accuracy and reliability of subsequent target air-conditioning control operations.

[0217] In another optional embodiment, the control module 303 is further configured to, when it is determined that all the working sub-areas meet the parameter uniformity condition, determine whether all the working sub-areas meet the preset parameter matching condition based on the expected wind speed and airflow diffusion distribution information and the predicted wind speed and airflow conditions of each working sub-area;

[0218] When it is determined that all working sub-areas meet the parameter matching conditions, the step of determining whether the required working area meets the preset expected wind speed and airflow phenomenon conditions is executed;

[0219] When it is determined that all working sub-areas do not meet the parameter matching conditions, it is determined that the required working area does not meet the preset expected wind speed and airflow phenomenon conditions;

[0220] The parameter matching conditions include at least an airflow parameter matching condition and a wind speed parameter matching condition.

[0221] It can be seen that implementation Figure 5 The described device can also further determine the parameter matching condition satisfaction results of all working sub-areas when all working sub-areas meet the parameter uniformity conditions, and determine the expected wind speed and airflow phenomenon condition satisfaction results based on the parameter matching condition satisfaction results, which is conducive to improving the comprehensiveness and integrity of the method for determining the expected wind speed and airflow phenomenon condition satisfaction results, and is also conducive to improving the layer-by-layer progressiveness and rationality of the method for determining the expected wind speed and airflow phenomenon condition satisfaction results, and thus is conducive to improving the diversity and flexibility of the determination parameters used to determine the expected wind speed and airflow phenomenon condition satisfaction results, thereby helping to improve the accuracy and reliability of the determined expected wind speed and airflow phenomenon condition satisfaction results.

[0222] Example 4

[0223] The present invention discloses another intelligent air conditioning control device based on work area information. The device disclosed in the present invention may include a server, which may include a local server or a cloud server, but the present invention does not limit this. Furthermore, the device disclosed in the present invention may include:

[0224] a memory storing executable program code;

[0225] a processor coupled to a memory;

[0226] Furthermore, it may also include an input interface and an output interface coupled to the processor;

[0227] The processor calls the executable program code stored in the memory to execute the steps of the intelligent air conditioning control method based on working area information described in the first or second embodiment.

[0228] Example 5

[0229] 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 intelligent air conditioning control method based on work area information described in Example 1 or Example 2.

[0230] Example 6

[0231] 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 intelligent air conditioning control method based on working area information described in Example 1 or Example 2.

[0232] 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.

[0233] 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.

[0234] Finally, it should be noted that the intelligent air conditioning control method and device based on working area information disclosed in the embodiment of the present invention is only a preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that it is still possible to modify the technical solutions recorded in the aforementioned embodiments, or to replace some of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An intelligent air conditioning control method based on work area information, characterized in that: The method comprises: Determine the work area information corresponding to the required work area that the target air conditioner is responsible for, and determine the scene area information corresponding to the spatial scene where the target air conditioner is located; Determining, based on the working area information and the scene area information, a minimum distance value and a maximum distance value between the target air conditioner and the required working area; Determine the maximum longitudinal distance value and the maximum lateral distance value corresponding to the required working area according to the working area information; According to the expected wind speed and airflow diffusion distribution information of the required working area, the closest distance value, the farthest distance value, the maximum longitudinal distance value and the maximum lateral distance value, corresponding control operations are performed on the target air conditioner to match the wind speed and airflow diffusion distribution phenomena between different sub-areas in the required working area.

2. The intelligent air conditioning control method based on working area information according to claim 1 is characterized in that: The step of performing corresponding control operations on the target air conditioner according to the determined expected wind speed and airflow diffusion distribution information of the required working area, the closest distance value, the farthest distance value, the maximum longitudinal distance value, and the maximum lateral distance value includes: Determining a first control parameter of the target air conditioner for a first area point in the required working area according to the determined expected wind speed and airflow diffusion distribution information of the required working area and the minimum distance value; determining, based on the expected wind speed and airflow diffusion distribution information and the maximum interval distance value, a second control parameter of the target air conditioner for a second area point in the required working area; determining, based on the first control parameter, the second control parameter, the maximum longitudinal distance value, and the maximum lateral distance value, a predicted wind speed and airflow diffusion distribution phenomenon of the required working area based on the target air conditioner; According to the predicted wind speed and airflow diffusion distribution phenomenon, the first control parameter and the second control parameter, corresponding control operations are performed on the target air conditioner.

3. The intelligent air conditioning control method based on working area information according to claim 2 is characterized in that: The performing corresponding control operations on the target air conditioner according to the predicted wind speed and airflow diffusion distribution phenomenon, the first control parameter, and the second control parameter includes: According to the predicted wind speed and airflow diffusion distribution phenomenon, it is determined whether the required working area meets the preset expected wind speed and airflow phenomenon conditions; When it is determined that the required working area meets the expected wind speed and airflow phenomenon condition, performing corresponding control operations on the target air conditioner according to the first control parameter and the second control parameter; When it is determined that the required working area does not meet the expected wind speed and airflow phenomenon conditions, the difference information is determined based on the predicted wind speed and airflow diffusion distribution phenomenon and the expected wind speed and airflow diffusion distribution information; based on the difference information, the positive and negative impact information of the required working area on the wind speed and airflow diffusion distribution is determined; based on the positive and negative impact information, corresponding adjustment and optimization operations are performed on the first control parameter and the second control parameter to obtain a third control parameter; based on the third control parameter, corresponding control operations are performed on the target air conditioner.

4. The intelligent air conditioning control method based on working area information according to any one of claims 1 to 3, characterized in that: The determining, based on the working area information and the scene area information, a minimum distance value and a maximum distance value between the target air conditioner and the required working area includes: Determining, based on the working area information, a first area point in the required working area that is closest to the target air conditioner, and determining, based on the working area information and the scene area information, a minimum distance between the first area point and the target air conditioner; According to the working area information, a second area point in the required working area that is the farthest away from the target air conditioner is determined, and according to the working area information and the scene area information, a maximum distance value between the second area point and the target air conditioner is determined.

5. The intelligent air conditioning control method based on working area information according to any one of claims 1 to 3, characterized in that: After determining the work area information corresponding to the required work area that the target air conditioner is responsible for and determining the scene area information corresponding to the space scene where the target air conditioner is located, the method further includes: Determining, based on the work area information, the regional properties of the required work area, where the regional properties include location point properties or location range properties; When the area property includes the location range property, determining the area and orientation information of the required working area according to the working area information; Determining the adjustable air outlet accuracy of the target air conditioner for the required working area according to the set air outlet configuration information of the target air conditioner and the area and orientation information of the area; According to the adjustable air outlet precision, determining whether the target air conditioner meets the preset sub-area precise air outlet conditions; When it is determined that the target air conditioner meets the precise air outlet conditions of the sub-area, the step of determining the minimum distance value and the maximum distance value corresponding to the target air conditioner and the required working area based on the working area information and the scene area information is executed.

6. The intelligent air conditioning control method based on working area information according to claim 3 is characterized in that: The step of determining whether the required working area meets preset expected wind speed and airflow phenomenon conditions based on the predicted wind speed and airflow diffusion distribution phenomenon includes: Determining the predicted wind speed and airflow conditions of each working sub-area included in the pre-divided required working area based on the predicted wind speed and airflow diffusion distribution phenomenon; According to the predicted wind speed and airflow conditions of each working sub-area, determining whether all the working sub-areas meet the preset parameter uniformity conditions; When it is determined that all the working sub-areas do not meet the parameter uniformity condition, determining that the required working area does not meet the preset expected wind speed and airflow phenomenon condition; When it is determined that all the working sub-areas meet the parameter uniformity condition, determining that the required working area meets the preset expected wind speed and airflow phenomenon condition; The parameter unification condition includes at least an airflow parameter unification condition and a wind speed parameter unification condition.

7. The intelligent air conditioning control method based on working area information according to claim 6 is characterized in that: The method further comprises: When it is determined that all the working sub-areas meet the parameter unification condition, judging whether all the working sub-areas meet the preset parameter matching condition based on the expected wind speed and airflow diffusion distribution information and the predicted wind speed and airflow conditions of each working sub-area; When it is determined that all the working sub-areas meet the parameter matching condition, executing the step of determining whether the required working area meets the preset expected wind speed and airflow phenomenon condition; When it is determined that all the working sub-areas do not meet the parameter matching condition, determining that the required working area does not meet the preset expected wind speed and airflow phenomenon condition; The parameter matching conditions include at least an airflow parameter matching condition and a wind speed parameter matching condition.

8. An intelligent air conditioning control device based on work area information, characterized in that: The device comprises: An information determination module, configured to determine the work area information corresponding to the required work area that the target air conditioner is responsible for, and determine the scene area information corresponding to the spatial scene where the target air conditioner is located; a determination module, configured to determine, based on the working area information and the scene area information, a minimum distance value and a maximum distance value between the target air conditioner and the required working area; and determine, based on the working area information, a maximum longitudinal distance value and a maximum lateral distance value corresponding to the required working area; A control module is used to perform corresponding control operations on the target air conditioner based on the expected wind speed and airflow diffusion distribution information of the required working area, the closest distance value, the farthest distance value, the maximum longitudinal distance value and the maximum lateral distance value, so as to match the wind speed and airflow diffusion distribution phenomena between different sub-areas in the required working area.

9. An intelligent air conditioning control device based on work area information, characterized in that: The device comprises: a memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent air conditioning control method based on working area information as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the intelligent air conditioning control method based on working area information according to any one of claims 1 to 7.

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