Environment layout intelligent adjustment method and device applied to air conditioner installation scene

Abstract

The application discloses an environment layout intelligent adjustment method and device applied to an air conditioner installation scene, and comprises the following steps: acquiring installation position information of a target air conditioner, and acquiring scene layout information of a current scene corresponding to the target air conditioner; analyzing layout matching parameters between the installation position information and the scene layout information; judging whether the layout matching parameters meet preset air conditioner operation conditions; if not, predicting a predicted operation effect of the target air conditioner in the current scene; generating layout adjustment information of the current scene according to the predicted operation effect and the scene layout information, and performing a furniture layout adjustment operation matched with the layout adjustment information on target furniture in the current scene according to the layout adjustment information. It can be seen that the application can perform intelligent adjustment on the current layout in combination with the installation position of the air conditioner, is favorable for improving the operation effect of the air conditioner and the intelligence of the layout adjustment, and is further favorable for improving the experience and comfort of a user in the scene.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent layout adjustment, and particularly relates to an environment layout intelligent adjustment method and device applied to an air conditioner installation scene. BACKGROUND

[0002] In actual life, for most families, the layout of the room is basically according to the factors such as the pattern of the room and the layout of the home is arranged. However, the existing method only considers the pattern of the room and does not consider the positional relationship of various devices in the room. For example, if the air conditioner is installed to face the sofa in the living room, the user sitting on the sofa will receive the wind directly blown by the air conditioner, which not only reduces the user experience, but also easily affects the health of the user. It can be seen that it is particularly important to provide a new environment layout adjustment method to improve the intelligence of the layout and improve the experience and comfort of the user in the scene. SUMMARY

[0003] The technical problem to be solved by the present application is to provide an environment layout intelligent adjustment method and device applied to an air conditioner installation scene, which can perform intelligent adjustment on the layout information of the current scene in combination with the installation position of the to-be-installed air conditioner, improve the operation effect of the air conditioner, improve the intelligence of the layout adjustment, and further improve the experience and comfort of the user in the scene.

[0004] To solve the above technical problem, the present application discloses an environment layout intelligent adjustment method applied to an air conditioner installation scene, which comprises:

[0005] obtaining installation position information of a target air conditioner and obtaining scene layout information of a current scene corresponding to the target air conditioner;

[0006] analyzing layout matching parameters between the installation position information and the scene layout information;

[0007] judging whether the layout matching parameters meet preset air conditioner operation conditions;

[0008] when it is judged that the layout matching parameters do not meet the preset air conditioner operation conditions, predicting a predicted operation effect of the target air conditioner in the current scene;

[0009] generating layout adjustment information of the current scene according to the predicted operation effect and the scene layout information, and performing a furniture layout adjustment operation on target furniture in the current scene according to the layout adjustment information.

[0010] As an optional implementation, in the first aspect of the present application, before the step of predicting the predicted running effect of the target air conditioner in the current scene, the method further comprises:

[0011] According to the installation position information of the target air conditioner and the scene layout information, determining a running influence factor of the target air conditioner in the current scene, the running influence factor comprising one or more of a supply air range influence factor, an air flow supply air track influence factor, and an air conditioner running power influence factor of the target air conditioner in the current scene;

[0012] The step of predicting the predicted running effect of the target air conditioner in the current scene comprises:

[0013] Based on all the running influence factors, predicting the predicted running effect of the target air conditioner in the current scene.

[0014] As an optional implementation, in the first aspect of the present application, after the steps of obtaining the installation position information of the target air conditioner and obtaining the scene layout information of the current scene corresponding to the target air conditioner, the method further comprises:

[0015] According to the scene layout information, determining device position information of each smart device in the current scene;

[0016] For each smart device, generating a device influence parameter of the smart device according to the device position information of the smart device and the installation position information, wherein the device influence parameter comprises an influence factor of the smart device on the target air conditioner in the current scene;

[0017] Based on the device influence parameters of all the smart devices, generating a device influence parameter set;

[0018] The step of predicting the predicted running effect of the target air conditioner in the current scene based on all the running influence factors comprises:

[0019] Based on all the running influence parameters and the device influence parameter set, predicting the predicted running effect of the target air conditioner in the current scene.

[0020] As an optional implementation, in the first aspect of the present application, the step of generating the layout adjustment information of the current scene according to the predicted running effect and the scene layout information comprises:

[0021] According to the predicted running effect, determining running trend information of the target air conditioner;

[0022] determine at least one target furniture from all the furnitures included in the current scene based on the running trend information and the scene layout information;

[0023] for each of the target furnitures, determine furniture adjustment information of the target furniture according to the running trend information and the scene layout information;

[0024] generate layout adjustment information of the current scene based on the furniture adjustment information of all the target furnitures.

[0025] As an optional implementation, in the first aspect of the present application, the determination of at least one target furniture from all the furnitures included in the current scene based on the running trend information and the scene layout information comprises:

[0026] obtain furniture information of each of the furnitures included in the current scene, the furniture information comprising one or more of furniture size information, furniture shape information, furniture purpose information and furniture appearance information of the furniture;

[0027] determine movable furnitures from all the furnitures according to the furniture information of each of the furnitures;

[0028] generate scene layout requirement information of the current scene based on the running trend information and the scene layout information;

[0029] for each of the movable furnitures, calculate a layout requirement matching degree between the movable furniture and the scene layout requirement information, and determine whether the layout requirement matching degree of the movable furniture is greater than or equal to a preset matching degree threshold;

[0030] for each of the movable furnitures, when it is determined that the layout requirement matching degree of the movable furniture is greater than or equal to the preset matching degree threshold, determine the movable furniture as a target furniture.

[0031] As an optional implementation, in the first aspect of the present application, the determination of furniture adjustment information of each of the target furnitures according to the running trend information and the scene layout information comprises:

[0032] for each of the target furnitures, determine a furniture influence factor of the target furniture on the running of the target air conditioner in the current scene according to the running trend information;

[0033] for each of the target furnitures, determine optimization adjustment information of the target furniture according to the furniture influence factor of the target furniture and the scene layout information, the optimization adjustment information comprising one or more of adjustment position information and adjustment direction information of the target furniture;

[0034] For each of the target furniture, generate furniture adjustment information of the target furniture according to the optimization adjustment information of the target furniture.

[0035] As an optional implementation, in the first aspect of the present application, after the step of generating the layout adjustment information of the current scene according to the predicted running effect and the scene layout information, and before the step of performing the furniture layout adjustment operation on the target furniture in the current scene according to the layout adjustment information, the method further comprises:

[0036] performing a layout adjustment simulation operation on the current scene according to the layout adjustment information of the current scene and the scene layout information of the current scene, to obtain a layout simulation result, wherein the layout simulation result comprises layout information of the current scene after performing layout adjustment on all the target furniture based on the layout adjustment information;

[0037] determining whether the layout simulation result meets a preset layout demand condition;

[0038] when it is determined that the layout simulation result meets the preset layout demand condition, triggering the step of performing the furniture layout adjustment operation on the target furniture in the current scene according to the layout adjustment information;

[0039] when it is determined that the layout simulation result does not meet the preset layout demand condition, analyzing a target layout reason why the layout simulation result does not meet the preset layout demand condition, updating the layout adjustment information based on the target layout reason, and re-triggering the steps of performing the layout adjustment simulation operation on the current scene according to the layout adjustment information of the current scene and the scene layout information of the current scene, to obtain a layout simulation result, and determining whether the layout simulation result meets a preset layout demand condition.

[0040] The second aspect of the present application discloses an environmental layout intelligent adjustment device applied to an air conditioner installation scene, which comprises:

[0041] The device comprises:

[0042] an acquisition module, configured to acquire installation position information of a target air conditioner, and acquire scene layout information of a current scene corresponding to the target air conditioner;

[0043] an analysis module, configured to analyze a layout matching parameter between the installation position information and the scene layout information;

[0044] a determination module, configured to determine whether the layout matching parameter meets a preset air conditioner running condition;

[0045] a prediction module, configured to predict a predicted running effect of the target air conditioner in the current scene when the judgment module judges that the layout matching parameter does not satisfy the preset air conditioner running condition;

[0046] a generation module, configured to generate layout adjustment information of the current scene according to the predicted running effect and the scene layout information;

[0047] an execution module, configured to perform a furniture layout adjustment operation matched with the layout adjustment information on a target furniture in the current scene according to the layout adjustment information.

[0048] As an optional implementation, in the second aspect, the device further comprises:

[0049] a determination module, configured to determine, before the prediction module predicts the predicted running effect of the target air conditioner in the current scene, a running influence factor of the target air conditioner in the current scene according to installation position information of the target air conditioner and the scene layout information, the running influence factor comprising one or more of a blowing range influence factor, an air flow blowing track influence factor and an air conditioner running power influence factor of the target air conditioner in the current scene;

[0050] The specific manner in which the prediction module predicts the predicted running effect of the target air conditioner in the current scene comprises:

[0051] predicting the predicted running effect of the target air conditioner in the current scene based on all the running influence factors.

[0052] As an optional implementation, in the second aspect, the determination module is further configured to, after the acquisition module acquires the installation position information of the target air conditioner and acquires the scene layout information of the current scene corresponding to the target air conditioner, determine device position information of each smart device in the current scene according to the scene layout information and the installation position information.

[0053] The generation module is further configured to, for each smart device, generate a device influence parameter of the smart device according to the device position information of the smart device, and generate a device influence parameter set based on device influence parameters of all the smart devices, wherein the device influence parameter comprises an influence factor of the smart device on the target air conditioner in the current scene.

[0054] The specific manner in which the prediction module predicts the predicted running effect of the target air conditioner in the current scene based on all the running influence factors comprises:

[0055] predict a predicted operation effect of the target air conditioner in the current scene based on all the operation influence parameters and the set of device influence parameters.

[0056] As an optional implementation, in the second aspect of the present application, the specific manner in which the generation module generates the layout adjustment information of the current scene according to the predicted operation effect and the scene layout information comprises:

[0057] determine operation trend information of the target air conditioner according to the predicted operation effect;

[0058] determine at least one target furniture from all the furniture included in the current scene based on the operation trend information and the scene layout information;

[0059] for each target furniture, determine furniture adjustment information of the target furniture according to the operation trend information and the scene layout information;

[0060] generate the layout adjustment information of the current scene based on the furniture adjustment information of all the target furniture.

[0061] As an optional implementation, in the second aspect of the present application, the specific manner in which the generation module determines at least one target furniture from all the furniture included in the current scene based on the operation trend information and the scene layout information comprises:

[0062] obtain furniture information of each furniture included in the current scene, the furniture information comprising one or more of furniture size information, furniture shape information, furniture purpose information, and furniture appearance information of the furniture;

[0063] determine movable furniture from all the furniture according to the furniture information of each furniture;

[0064] generate scene layout requirement information of the current scene based on the operation trend information and the scene layout information;

[0065] for each movable furniture, calculate a layout requirement matching degree between the movable furniture and the scene layout requirement information, and determine whether the layout requirement matching degree of the movable furniture is greater than or equal to a preset matching degree threshold;

[0066] for each movable furniture, when it is determined that the layout requirement matching degree of the movable furniture is greater than or equal to the preset matching degree threshold, determine the movable furniture as a target furniture.

[0067] As an optional implementation, in the second aspect of the present application, the generating module, for each of the target furniture, determines the specific manner of the furniture adjustment information of the target furniture according to the operation trend information and the scene layout information, includes:

[0068] for each of the target furniture, according to the operation trend information, determines the furniture influence factor of the target furniture for the operation of the target air conditioner in the current scene;

[0069] for each of the target furniture, according to the furniture influence factor of the target furniture and the scene layout information, determines the optimization adjustment information of the target furniture, and the optimization adjustment information includes one or more of the adjustment position information and the adjustment direction information of the target furniture;

[0070] for each of the target furniture, according to the optimization adjustment information of the target furniture, generates the furniture adjustment information of the target furniture.

[0071] As an optional implementation, in the second aspect of the present application, the execution module is further configured to, after the generating module generates the layout adjustment information of the current scene according to the predicted operation effect and the scene layout information, and before the execution of the furniture layout adjustment operation on the target furniture in the current scene according to the layout adjustment information, perform a layout adjustment simulation operation on the current scene according to the layout adjustment information of the current scene and the scene layout information of the current scene, to obtain a layout simulation result, and the layout simulation result includes the layout information of the current scene after the layout adjustment of all the target furniture based on the layout adjustment information;

[0072] the judgment module is further configured to judge whether the layout simulation result meets the preset layout demand condition; when it is judged that the layout simulation result meets the preset layout demand condition, the execution module is triggered to execute the furniture layout adjustment operation on the target furniture in the current scene according to the layout adjustment information;

[0073] the analysis module is further configured to, when the judgment module judges that the layout simulation result does not meet the preset layout demand condition, analyze the target layout reason why the layout simulation result does not meet the preset layout demand condition;

[0074] the device further comprises:

[0075] An updating module is configured to update the layout adjustment information based on the target layout cause, and re-trigger the execution module to perform the operation of executing the layout adjustment simulation on the current scene according to the layout adjustment information of the current scene and the scene layout information of the current scene to obtain a layout simulation result, and trigger the judgment module to perform the step of judging whether the layout simulation result meets the preset layout demand condition.

[0076] The third aspect of the present application discloses another environment layout intelligent adjustment device applied to an air conditioner installation scene, which comprises:

[0077] a memory storing executable program codes;

[0078] a processor coupled with the memory;

[0079] The processor invokes the executable program codes stored in the memory to execute the environment layout intelligent adjustment method applied to the air conditioner installation scene disclosed in the first aspect of the present application.

[0080] The fourth aspect of the present application discloses a computer storage medium storing computer instructions, which are invoked to execute the environment layout intelligent adjustment method applied to the air conditioner installation scene disclosed in the first aspect of the present application.

[0081] Compared with the prior art, the embodiment of the present application has the following beneficial effects:

[0082] In the embodiment of the present application, the installation position information of a target air conditioner is obtained, and the scene layout information of a current scene corresponding to the target air conditioner is obtained; a layout matching parameter between the installation position information and the scene layout information is analyzed; it is judged whether the layout matching parameter meets a preset air conditioner running condition; if not, a predicted running effect of the target air conditioner in the current scene is predicted; layout adjustment information of the current scene is generated according to the predicted running effect and the scene layout information, and a furniture layout adjustment operation matched with the layout adjustment information is performed on a target furniture in the current scene according to the layout adjustment information. It can be seen that the present application can perform intelligent adjustment on the current layout in combination with the installation position of the air conditioner, which is beneficial to improve the running effect of the air conditioner and the intelligence of the layout adjustment, and further beneficial to improve the experience and comfort of the user in the scene. BRIEF DESCRIPTION OF DRAWINGS

[0083] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0084] Figure 1 is a scene schematic view of an environment layout intelligent adjustment scene applied to an air conditioner installation scene disclosed by an embodiment of the present application;

[0085] Figure 2 is a flow schematic view of an environment layout intelligent adjustment method applied to an air conditioner installation scene disclosed by an embodiment of the present application;

[0086] Figure 3 is a flow schematic view of another environment layout intelligent adjustment method applied to an air conditioner installation scene disclosed by an embodiment of the present application;

[0087] Figure 4 is a structural schematic view of an environment layout intelligent adjustment device applied to an air conditioner installation scene disclosed by an embodiment of the present application;

[0088] Figure 5 is a structural schematic view of another environment layout intelligent adjustment device applied to an air conditioner installation scene disclosed by an embodiment of the present application;

[0089] Figure 6 is a structural schematic view of still another environment layout intelligent adjustment device applied to an air conditioner installation scene disclosed by an embodiment of the present application. DETAILED DESCRIPTION

[0090] In order to enable persons skilled in the art to better understand the present application scheme, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by persons skilled in the art without creative labor fall within the scope of protection of the present application.

[0091] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish different objects, not to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product or end.

[0092] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another. As will be apparent to those of ordinary skill in the art, embodiments described herein can be combined with other embodiments.

[0093] The application discloses an environment layout intelligent adjustment method and device applied to an air conditioner installation scene, which can perform intelligent adjustment on a current layout in combination with an installation position of an air conditioner, is favorable for improving operation effect of the air conditioner and intelligence of layout adjustment, and is further favorable for improving experience and comfort of a user in the scene.

[0094] In order to better understand the application, first, an environment layout intelligent adjustment scene applied to an air conditioner installation scene is described, specifically, an environment layout intelligent adjustment scene applied to an air conditioner installation scene can be as shown in Figure 1 Figure 1 is a scene schematic diagram of an environment layout intelligent adjustment scene applied to an air conditioner installation scene disclosed by an embodiment of the application. As shown in Figure 1 The environment layout intelligent adjustment scene applied to the air conditioner installation scene can include a table, a chair, a fan and an air conditioner; optionally, the environment layout intelligent adjustment scene applied to the air conditioner installation scene can be a home scene, or a variety of scenes such as a shopping mall scene and a company scene, which is not limited by the embodiment of the application. It should be noted that the environment layout intelligent adjustment method applied to the air conditioner installation scene in the scene can be to acquire installation position information of a target air conditioner and acquire scene layout information of a current scene corresponding to the target air conditioner, analyze layout matching parameters between the installation position information and the scene layout information and determine whether a preset air conditioner operation condition is met, if not, predict a predicted operation effect of the target air conditioner in the current scene, generate layout adjustment information of the current scene according to the predicted operation effect and the scene layout information, and perform a matching layout adjustment operation on a target furniture in the current scene according to the layout adjustment information, which can perform intelligent adjustment on a current layout in combination with an installation position of an air conditioner, is favorable for improving operation effect of the air conditioner and intelligence of layout adjustment, and is further favorable for improving experience and comfort of a user in the scene.

[0095] ​Optionally, the operating influencing factors of the target air conditioner in the current scene are determined based on the installation location information and scene layout information of the target air conditioner, and the predicted operating effect of the target air conditioner in the current scene is predicted based on all operating influencing factors. It can predict the operating effect of the target air conditioner in the current scene based on operating influencing factors, and can comprehensively predict the operation of the target air conditioner by combining multiple factors, which is conducive to improving the accuracy and reliability of prediction, and thus conducive to improving the accuracy and reliability of generating layout adjustment information and adjusting the layout of target furniture in the current scene.

[0096] Optionally, the device location information of each smart device in the current scene is determined based on the scene layout information. Based on the device location information of each smart device and the installation location information of the target air conditioner, device influence parameters of the smart devices are generated. Based on the device influence parameters of all smart devices, a set of device influence parameters is generated. Based on all operating influence parameters and the set of device influence parameters, the predicted operating effect of the target air conditioner in the current scene is predicted. This can comprehensively predict the operation of the target air conditioner by combining multiple factors, which is conducive to improving the accuracy and reliability of the prediction. In turn, it is conducive to improving the accuracy and reliability of generating layout adjustment information and adjusting the layout of target furniture in the current scene.

[0097] Optionally, after generating layout adjustment information, a layout adjustment simulation operation is performed based on the layout adjustment information and scene layout information to obtain the layout simulation result. It is then determined whether the layout simulation result meets the preset layout requirement conditions. If it does, a layout adjustment operation matching the layout adjustment information is performed on the target furniture in the current scene. If it does not meet the requirements, the reasons why the layout simulation result does not meet the layout requirement conditions are analyzed, and the layout adjustment information is updated based on the reasons for the target layout. The layout adjustment operation is then re-executed to obtain the layout simulation result and the preset layout requirement conditions are re-determined.

[0098] For example, such as Figure 1 As shown, Figure 1 In a home setting, the target air conditioner is installed above and behind the chairs and table, and the air conditioner is blowing air directly onto the chairs and table. There is also a fan in the current scene, which is blowing air relative to the right of the chairs and table and towards the wall. The fan is identified as the target furniture, and the layout adjustment information for the fan is determined to be to move the fan to the left of the air conditioner so that the fan also blows air onto the chairs and table.

[0099] It should be noted that, Figure 1The scene architecture shown is only used to represent the scene used by the environmental layout intelligent adjustment method applied to the air conditioner installation scene, and the table, chair, air conditioner and fan involved are only illustrative, and the specific structure / size / shape / location / installed manner, etc. can be adaptively adjusted according to the actual scene. Figure 1 The scene architecture shown does not limit this.

[0100] The scene used by the environmental layout intelligent adjustment method applied to the air conditioner installation scene is described above, and the environmental layout intelligent adjustment method and device applied to the air conditioner installation scene are described in detail below.

[0101] Embodiment one

[0102] Please refer to Figure 2 , Figure 2 is a flowchart of an environmental layout intelligent adjustment method applied to an air conditioner installation scene disclosed by the embodiment of the application. Wherein, Figure 2 The environmental layout intelligent adjustment method applied to the air conditioner installation scene described can be applied to an environmental layout intelligent adjustment device for the air conditioner installation scene, can be applied to a local server or a cloud server for the environmental layout intelligent adjustment of the air conditioner installation scene, and can be applied to the air conditioner itself, and the embodiment of the application does not limit this. For example Figure 2 As shown, the environmental layout intelligent adjustment method applied to the air conditioner installation scene can include the following operations:

[0103] 101, obtain the installation position information of the target air conditioner, and obtain the scene layout information of the current scene corresponding to the target air conditioner.

[0104] In the embodiment of the application, optionally, the installation position information of the target air conditioner and the target can be obtained in real time, can be obtained at a preset time interval, or can be obtained when the environmental layout needs to be adjusted, and the embodiment of the application does not limit this.

[0105] In the embodiment of the application, optionally, the installation position information of the target air conditioner and the scene layout information of the current scene corresponding to the target air conditioner can be obtained by a camera, an infrared sensor, a radar sensor, a visual sensor, etc.

[0106] In the embodiment of the application, optionally, the installation position information of the target air conditioner includes the installation position information of the target air conditioner in the current scene, and the scene layout information of the current scene corresponding to the target air conditioner includes one or more of the layout information of the current scene, the furniture quantity information of the current scene, the placement direction information of each furniture in the current scene, and the placement position information of each furniture in the current scene.

[0107] 102、analyze the layout matching parameter between the installation position information and the scene layout information.

[0108] In the embodiment of the present application, optionally, the layout matching parameter between the installation position information and the scene layout information is analyzed, comprising:

[0109] The information similarity between the installation position information and the scene layout information is calculated, and the layout matching parameter between the installation position information and the scene layout information is determined according to the information similarity.

[0110] In the embodiment of the present application, optionally, the layout matching parameter comprises the information matching degree between the installation position information and the scene layout information.

[0111] 103、determine whether the layout matching parameter meets the preset air conditioner running condition.

[0112] In the embodiment of the present application, optionally, the determination of whether the layout matching parameter meets the preset air conditioner running condition comprises:

[0113] The layout matching degree is determined according to the layout matching parameter, and the layout matching degree comprises the information matching degree between the installation position information and the scene layout information.

[0114] It is determined whether the layout matching parameter is greater than or equal to the preset air conditioner running matching threshold value.

[0115] When it is determined that the layout matching parameter is greater than or equal to the preset air conditioner running matching threshold value, it is determined that the layout matching parameter meets the preset air conditioner running condition.

[0116] When it is determined that the layout matching parameter is less than the preset air conditioner running matching threshold value, it is determined that the layout matching parameter does not meet the preset air conditioner running condition.

[0117] 104、when it is determined that the layout matching parameter does not meet the preset air conditioner running condition, predict the predicted running effect of the target air conditioner in the current scene.

[0118] In the embodiment of the present application, further optionally, when it is determined that the layout matching parameter meets the preset air conditioner running condition, it is determined that the installation position information of the target air conditioner matches the scene layout information of the current scene, and the present process can be ended.

[0119] In the embodiment of the present application, optionally, the predicted running effect of the target air conditioner in the current scene comprises one or more of the predicted running wind speed, the predicted running wind direction and the predicted running influence range of the target air conditioner in the current scene.

[0120] 105、generate the layout adjustment information of the current scene according to the predicted running effect and the scene layout information, and perform the furniture layout adjustment operation matched with the layout adjustment information on the target furniture in the current scene according to the layout adjustment information.

[0121] Optionally, in the embodiment of the application, the layout adjustment information is used to perform a layout adjustment operation on the furniture in the current scene.

[0122] Optionally, in the embodiment of the application, the number of target furniture in the current scene can be one or multiple, which is not limited in the embodiment of the application.

[0123] It can be seen that, by implementing the method for adjusting the layout of the environment in the air conditioner installation scene, the installation position information of the target air conditioner and the scene layout information of the current scene corresponding to the target air conditioner can be obtained, the layout matching parameter between the installation position information and the scene layout information can be analyzed, it can be judged whether the layout matching parameter meets the preset air conditioner running condition, if not, the predicted running effect of the target air conditioner in the current scene can be predicted, the layout adjustment information of the current scene can be generated according to the predicted running effect and the scene layout information, and the matching furniture layout adjustment operation can be performed on the target furniture in the current scene according to the layout adjustment information. Figure 2 The described method for adjusting the layout of the environment in the air conditioner installation scene can obtain the installation position information of the target air conditioner and the scene layout information of the current scene corresponding to the target air conditioner, analyze the layout matching parameter between the installation position information and the scene layout information, judge whether the layout matching parameter meets the preset air conditioner running condition, predict the predicted running effect of the target air conditioner in the current scene if it does not meet the preset air conditioner running condition, generate the layout adjustment information of the current scene according to the predicted running effect and the scene layout information, and perform the matching furniture layout adjustment operation on the target furniture in the current scene according to the layout adjustment information.

[0124] Embodiment two

[0125] Please refer to Figure 3 , Figure 3 is another flowchart of the method for adjusting the layout of the environment in the air conditioner installation scene disclosed in the embodiment of the application. In the method, Figure 3 The described method for adjusting the layout of the environment in the air conditioner installation scene can be applied to the device for adjusting the layout of the environment in the air conditioner installation scene, can be applied to the local server or cloud server for adjusting the layout of the environment in the air conditioner installation scene, and can be applied to the air conditioner itself, which is not limited in the embodiment of the application. As Figure 3 The method for adjusting the layout of the environment in the air conditioner installation scene can include the following operations:

[0126] 201, obtain the installation position information of the target air conditioner, and obtain the scene layout information of the current scene corresponding to the target air conditioner.

[0127] 202, analyze the layout matching parameter between the installation position information and the scene layout information.

[0128] 203, judge whether the layout matching parameter meets the preset air conditioner running condition.

[0129] 204, when it is judged that the layout matching parameter does not meet the preset air conditioner running condition, determine the running influence factor of the target air conditioner in the current scene according to the installation position information of the target air conditioner and the scene layout information, and predict the predicted running effect of the target air conditioner in the current scene based on all the running influence factors.

[0130] In the embodiment of the application, the running influence factor includes one or more of the air supply range influence factor, the air flow supply track influence factor and the air conditioner running power influence factor of the target air conditioner in the current scene.

[0131] In the embodiment of the application, optionally, the air supply range influence factor of the target air conditioner in the current scene includes factors affecting the air supply range of the target air conditioner in the current scene; the air flow supply track influence factor includes factors affecting the air flow supply track of the target air conditioner in the current scene; and the air conditioner running power influence factor includes factors affecting the running power of the target air conditioner in the current scene.

[0132] In the embodiment of the application, optionally, the number of running influence factors is at least one.

[0133] In the embodiment of the application, optionally, the running influence factor includes the influence factor of the scene layout information on the air conditioner running of the target air conditioner at the installation position corresponding to the installation position information. For example, if there is a standing cabinet in front of the installation position of the target air conditioner in the current scene, it is determined that the standing cabinet will block the air outlet of the target air conditioner in the current scene, and the positions of the standing cabinet and the historical cabinet are determined as the running influence factor of the target air conditioner in the current scene.

[0134] 205, generate the layout adjustment information of the current scene according to the predicted running effect and the scene layout information, and perform the furniture layout adjustment operation matched with the layout adjustment information on the target furniture in the current scene according to the layout adjustment information.

[0135] In the embodiment of the application, the detailed description of steps 201-203 and step 205 is as described in other descriptions of steps 101-103 and step 105 in embodiment one, and the embodiment of the application will not be described again.

[0136] It can be seen that the embodiment of the application Figure 3The described environment layout intelligent adjustment method applied to an air conditioner installation scene can determine running influence factors of a target air conditioner in a current scene according to installation position information of the target air conditioner and scene layout information, and predict a predicted running effect of the target air conditioner in the current scene based on all the running influence factors. The method can determine the running influence factors in combination with the installation position information of the target air conditioner and the scene layout information, is beneficial to improving the accuracy and reliability of determining the running influence factors, and is beneficial to improving the intelligence of determining the running influence factors. In addition, the method can predict the predicted running effect of the target air conditioner in the current scene based on all the running influence factors, is beneficial to further improving the accuracy and reliability of predicting the predicted running effect, and is beneficial to further improving the accuracy and reliability of generating layout adjustment information of the current scene and performing a layout adjustment operation on the current scene based on the predicted running effect, thereby improving the running effect of the target air conditioner in the current scene, and is beneficial to improving the comfort and experience of a user using the target air conditioner in the current scene.

[0137] In an optional embodiment, after obtaining the installation position information of the target air conditioner and the scene layout information of the current scene corresponding to the target air conditioner, the method further comprises:

[0138] According to the scene layout information, determining device position information of each smart device in the current scene;

[0139] For each smart device, generating a device influence parameter of the smart device according to the device position information of the smart device and the installation position information, wherein the device influence parameter comprises an influence factor of the smart device on the target air conditioner in the current scene;

[0140] Generating a device influence parameter set based on the device influence parameters of all the smart devices;

[0141] Wherein, predicting the predicted running effect of the target air conditioner in the current scene based on all the running influence factors comprises:

[0142] Predicting the predicted running effect of the target air conditioner in the current scene based on all the running influence parameters and the device influence parameter set.

[0143] In this optional embodiment, optionally, each smart device in the current scene can be one or more of a smart fan, a smart electric lamp, a smart sweeping robot, a smart floor washing machine, etc., and the embodiments of the present application do not make specific limitations.

[0144] In this optional embodiment, further optionally, the device position information of each smart device comprises location information of the smart device, and further, the device position information of each smart device further comprises position orientation information of the smart device.

[0145] In the optional embodiment, optionally, for each smart device, the device impact parameter of the smart device is generated according to the device position information of the smart device and the installation position information, including:

[0146] For each smart device, the device function information of the smart device is acquired, and the impact parameter of the smart device on the running of the target air conditioner in the current scene is determined according to the device position information of the smart device, the device function information of the smart device and the installation position information, and the device impact parameter of the smart device is generated based on all the impact parameters of the smart device on the running of the target air conditioner in the current scene.

[0147] In the optional embodiment, optionally, the device impact parameter set includes the device impact parameters of all the smart devices.

[0148] In the optional embodiment, optionally, based on all the running impact parameters and the device impact parameter set, the predicted running effect of the target air conditioner in the current scene is predicted, including:

[0149] Based on all the running impact parameters and the device impact parameter set, the target impact information of all the smart devices on the running of the target air conditioner in the current scene is generated, wherein the target impact information includes all the running impact parameters and the device impact parameter set.

[0150] Based on the target impact information and the scene layout information, the predicted running effect of the target air conditioner in the current scene is predicted.

[0151] It can be seen that by implementing the optional embodiment, the device position information of each smart device in the current scene can be determined according to the scene layout information, the device impact parameter of the smart device can be generated according to the device position information of each smart device and the installation position information, the device impact parameter set can be generated based on the device impact parameters of all the smart devices, and the predicted running effect of the target air conditioner in the current scene can be predicted based on all the running impact parameters and the device impact parameter set. The device impact parameter of the smart device can be generated in combination with the device position information of each smart device and the installation position information of the target air conditioner, which can realize generating the device impact parameter by comprehensively considering multiple aspects of information, is conducive to improving the intelligence of generating the device impact parameter, and is conducive to improving the accuracy and reliability of generating the device impact parameter. Furthermore, the predicted running effect of the target air conditioner in the current scene is predicted according to the running impact parameter of the target air conditioner and all the device impact parameters, which is conducive to improving the intelligence and efficiency of predicting the predicted running effect of the target air conditioner in the current scene, and is conducive to improving the accuracy and reliability of predicting the predicted running effect of the target air conditioner in the current scene.

[0152] In another optional embodiment, the layout adjustment information of the current scene is generated according to the predicted running effect and the scene layout information, and includes:

[0153] According to the predicted running effect, running trend information of the target air conditioner is determined.

[0154] Based on the running trend information and the scene layout information, at least one target furniture is determined from all the furniture included in the current scene.

[0155] For each target furniture, furniture adjustment information of the target furniture is determined according to the running trend information and the scene layout information.

[0156] Based on the furniture adjustment information of all the target furniture, the layout adjustment information of the current scene is generated.

[0157] In this optional embodiment, optionally, the running trend information of the target air conditioner is determined according to the predicted running effect, and includes:

[0158] The predicted running effect is input into a predetermined running trend determination model to obtain a model output result, and the running trend information of the target air conditioner is determined according to the model output result; wherein the running trend information includes one or more of running wind speed trend information, running wind direction trend information, running air supply range influence trend information, running temperature trend information, and running humidity trend information of the target air conditioner in the current scene.

[0159] In this optional embodiment, optionally, the target furniture is furniture used for layout adjustment of the scene layout in the current scene.

[0160] In this optional embodiment, optionally, the target furniture can be one or more of all the smart devices included in the current scene, which is not limited in the embodiments of the present application.

[0161] In this optional embodiment, optionally, based on the furniture adjustment information of all the target furniture, the layout adjustment information of the current scene is generated, and includes:

[0162] According to the furniture adjustment information of all the target furniture, a furniture adjustment information set is generated, wherein the furniture adjustment information set includes the furniture adjustment information corresponding to each target furniture.

[0163] According to the furniture adjustment information set, the layout adjustment information of the current scene is generated.

[0164] It can be seen that, by implementing the optional embodiment, the running trend information of the target air conditioner can be determined according to the predicted running effect, at least one target furniture can be determined from all the furniture included in the current scene based on the running trend information and the scene layout information, the furniture adjustment information of each target furniture can be determined according to the running trend information and the scene layout information, the layout adjustment information of the current scene can be generated based on the furniture adjustment information of all the target furniture, the target furniture to be adjusted can be intelligently determined, the intelligence and efficiency of determining the target furniture can be improved, the furniture adjustment information of each target furniture can be determined for the target furniture according to the running trend information and the scene layout information, which is beneficial to improving the accuracy and reliability of determining the furniture adjustment information of each target furniture, and further beneficial to improving the accuracy and reliability of producing the layout adjustment information of the current scene, and beneficial to improving the intelligence and efficiency of producing the layout adjustment information of the current scene.

[0165] In yet another optional embodiment, determining at least one target furniture from all the furniture included in the current scene based on the running trend information and the scene layout information comprises:

[0166] Obtaining furniture information of each furniture included in the current scene, the furniture information comprising one or more of furniture size information, furniture shape information, furniture purpose information, and furniture appearance information of the furniture;

[0167] Determining movable furniture from all the furniture according to the furniture information of each furniture;

[0168] Generating scene layout requirement information of the current scene based on the running trend information and the scene layout information;

[0169] For each movable furniture, calculating a layout requirement matching degree between the movable furniture and the scene layout requirement information, and determining whether the layout requirement matching degree of the movable furniture is greater than or equal to a preset matching degree threshold;

[0170] For each movable furniture, when it is determined that the layout requirement matching degree of the movable furniture is greater than or equal to the preset matching degree threshold, the movable furniture is determined as a target furniture.

[0171] In the optional embodiment, further optionally, for each movable furniture, when it is determined that the layout requirement matching degree of the movable furniture is less than the preset matching degree threshold, the movable furniture is not a target furniture.

[0172] In the optional embodiment, optionally, determining movable furniture from all the furniture according to the furniture information of each furniture comprises:

[0173] For each furniture, it is judged whether the furniture is a fixed furniture in the current scene according to the furniture information of the furniture, when it is judged that the furniture is a fixed furniture in the current scene, the furniture is not a movable furniture, and when it is judged that the furniture is not a fixed furniture in the current scene, the furniture is a movable furniture.

[0174] In the optional embodiment, optionally, the scene layout requirement information of the current scene is generated based on the running trend information and the scene layout information, including:

[0175] According to the running trend information, the scene requirement information of the target air conditioner in the current scene is generated, and according to the scene requirement information and the scene layout information, the scene layout requirement information of the current scene is generated.

[0176] In the optional embodiment, the number of target furniture can be one or multiple, which is not limited in the embodiment of the application.

[0177] It can be seen that the optional embodiment can obtain the furniture information of each furniture included in the current scene, determine the movable furniture from all the furniture according to the furniture information of each furniture, generate the scene layout requirement information of the current scene based on the running trend information and the scene layout information, and calculate the layout requirement matching degree between each movable furniture and the scene layout requirement information, judge whether the layout requirement matching degree of the movable furniture is greater than or equal to the preset matching degree threshold, if yes, the movable furniture is determined as the target furniture, which can determine the movable furniture based on the furniture information, is beneficial to improve the accuracy and reliability of determining the movable furniture, and is also beneficial to improve the intelligence of determining the movable furniture, and by calculating the layout requirement matching degree between each movable furniture and the scene layout requirement information, the accuracy and reliability of determining the target furniture can be improved, and the intelligence and efficiency of determining the target furniture can be improved, and then the subsequent generation of furniture adjustment information and the accuracy and intelligence of the layout adjustment information can be improved.

[0178] In yet another optional embodiment, for each target furniture, the furniture adjustment information of the target furniture is determined according to the running trend information and the scene layout information, including:

[0179] For each target furniture, the furniture influence factor of the target furniture on the running of the target air conditioner in the current scene is determined according to the running trend information;

[0180] For each target furniture, the optimization adjustment information of the target furniture is determined according to the furniture influence factor of the target furniture and the scene layout information, the optimization adjustment information including one or more of the adjustment position information and the adjustment direction information of the target furniture;

[0181] For each target furniture, the furniture adjustment information of the target furniture is generated according to the optimization adjustment information of the target furniture.

[0182] In the optional embodiment, optionally, for each target furniture, the furniture influence factor of the target furniture includes an operation influence factor of the target air conditioner in the current scene.

[0183] In the optional embodiment, optionally, the adjustment position information of the target furniture includes adjusted position information of the target furniture, and the adjustment direction information of the target furniture includes adjusted orientation information of the target furniture.

[0184] In the optional embodiment, optionally, for each target furniture, the optimization adjustment information of the target furniture is determined according to the furniture influence factor of the target furniture and the scene layout information, including:

[0185] For each target furniture, the furniture influence factor of the target furniture and the scene layout information are input into a predetermined optimization adjustment model to obtain an optimization adjustment model result, and the optimization adjustment information of the target furniture is determined according to the optimization adjustment model result.

[0186] In the optional embodiment, optionally, for each target furniture, the furniture adjustment information of the target furniture is generated according to the optimization adjustment information of the target furniture, including:

[0187] For each target furniture, all the optimization adjustment information of the target furniture is determined as the furniture adjustment information of the target furniture.

[0188] It can be seen that by implementing the optional embodiment, the furniture influence factor of each target furniture for the operation of the target air conditioner in the current scene can be determined according to the operation trend information, the optimization adjustment information of the target furniture can be determined according to the furniture influence factor of the target furniture and the scene layout information, and the furniture adjustment information of the target furniture can be generated according to the optimization adjustment information of the target furniture, which can determine the furniture influence factor of each target furniture in combination with the operation trend information, is conducive to improving the accuracy and reliability of the furniture influence factor of each target furniture, and determining the optimization adjustment information of the target furniture through the furniture influence factor of each target furniture and the scene layout information can improve the adaptation and matching degree between each target furniture and the current scene, is conducive to improving the accuracy and reliability of determining the optimization adjustment information of each target furniture, and further conducive to improving the accuracy and reliability of determining the furniture adjustment information of each target furniture, and further conducive to improving the accuracy and reliability of subsequently generating the layout adjustment information.

[0189] In yet another optional embodiment, after generating the layout adjustment information of the current scene according to the predicted running effect and the scene layout information, before performing the furniture layout adjustment operation on the target furniture in the current scene according to the layout adjustment information, the method further comprises:

[0190] performing a layout adjustment simulation operation on the current scene according to the layout adjustment information of the current scene and the scene layout information of the current scene to obtain a layout simulation result, the layout simulation result comprising layout information of the current scene after performing layout adjustment on all target furniture according to the layout adjustment information;

[0191] determining whether the layout simulation result meets a preset layout requirement condition;

[0192] when it is determined that the layout simulation result meets the preset layout requirement condition, triggering the step of performing the furniture layout adjustment operation on the target furniture in the current scene according to the layout adjustment information;

[0193] when it is determined that the layout simulation result does not meet the preset layout requirement condition, analyzing a target layout reason why the layout simulation result does not meet the preset layout requirement condition, updating the layout adjustment information based on the target layout reason, and re-triggering the step of performing the layout adjustment simulation operation on the current scene according to the layout adjustment information of the current scene and the scene layout information of the current scene to obtain the layout simulation result, and the step of triggering the determination of whether the layout simulation result meets the preset layout requirement condition.

[0194] In this optional embodiment, optionally, performing the layout adjustment simulation operation on the current scene according to the layout adjustment information of the current scene and the scene layout information of the current scene to obtain the layout simulation result comprises:

[0195] inputting the layout adjustment information of the current scene and the scene layout information of the current scene into a pre-determined adjustment simulation model, so that the adjustment simulation model performs the layout adjustment simulation operation on the current scene to obtain an adjustment simulation output result, and generates the layout simulation result according to the adjustment simulation output result.

[0196] In this optional embodiment, optionally, determining whether the layout simulation result meets the preset layout requirement condition comprises:

[0197] generating layout simulation information according to the layout simulation result, and generating layout requirement information according to the preset layout requirement condition;

[0198] calculating an information difference value between the layout simulation information and the layout requirement information;

[0199] determining whether the information difference value is greater than or equal to a preset information difference threshold value.

[0200] When it is judged that the information difference value is greater than or equal to the preset information difference threshold value, it is determined that the layout simulation result meets the preset layout requirement condition;

[0201] When it is judged that the information difference value is less than the preset information difference threshold value, it is determined that the layout simulation result does not meet the preset layout requirement condition.

[0202] In this optional embodiment, optionally, the target layout reason why the layout simulation result does not meet the preset layout requirement condition is analyzed, including:

[0203] Extracting the layout simulation keywords in the layout simulation result and the layout requirement keywords in the preset layout requirement condition, calculating the keyword difference parameters between the layout simulation keywords and the layout requirement keywords, and generating the target layout reason based on the keyword difference parameters.

[0204] It can be seen that by implementing this optional embodiment, the layout simulation result of the current scene can be obtained by performing the layout adjustment simulation operation on the current scene according to the layout adjustment information of the current scene and the scene layout information, it is judged whether the layout simulation result meets the preset layout requirement condition, if it meets, the matching layout adjustment operation is performed on the target furniture in the current scene, if it does not meet, the target layout reason why the layout simulation result does not meet the layout requirement condition is analyzed, and the layout adjustment information is updated based on the target layout reason, and the layout simulation result is obtained by performing the layout adjustment simulation operation on the current scene again, and it is judged whether the layout simulation result meets the preset layout requirement condition, which can perform the layout adjustment simulation operation on the current scene to obtain the layout simulation result, which is beneficial to improve the accuracy and reliability of the simulation of the current scene, and is beneficial to improve the intelligence and efficiency of the simulation of the current scene, and based on judging whether the layout simulation result meets the preset layout requirement condition, the corresponding operation is performed, which is beneficial to improve the intelligence and efficiency of the subsequent matching furniture layout adjustment operation on the target furniture according to the layout adjustment information, and is beneficial to improve the accuracy and reliability of the subsequent matching furniture layout adjustment operation on the target furniture according to the layout adjustment information.

[0205] Embodiment four

[0206] Please refer to Figure 4 , Figure 4 is a structural schematic view of an environment layout intelligent adjustment device applied to an air conditioner installation scene disclosed by the embodiment of the application. As Figure 4 shown, the environment layout intelligent adjustment device applied to the air conditioner installation scene can include:

[0207] The acquisition module 301 is configured to acquire the installation position information of the target air conditioner, and acquire the scene layout information of the current scene corresponding to the target air conditioner.

[0208] Analysis module 302 is used to analyze the layout matching parameters between installation location information and scene layout information;

[0209] The judgment module 303 is used to determine whether the layout matching parameters meet the preset air conditioning operating conditions;

[0210] The prediction module 304 is used to predict the predicted operating effect of the target air conditioner in the current scene when the judgment module 303 determines that the layout matching parameters do not meet the preset air conditioner operating conditions.

[0211] The generation module 305 is used to generate layout adjustment information for the current scene based on the predicted running effect and scene layout information.

[0212] The execution module 306 is used to perform furniture layout adjustment operations on the target furniture in the current scene according to the layout adjustment information, matching the layout adjustment information.

[0213] It is evident that implementation Figure 4 The described device can acquire the installation location information of the target air conditioner and the scene layout information of the current scene corresponding to the target air conditioner, analyze the layout matching parameters between the installation location information and the scene layout information, determine whether the layout matching parameters meet the preset air conditioner operating conditions, and if not, predict the predicted operating effect of the target air conditioner in the current scene. Based on the predicted operating effect and the scene layout information, it generates layout adjustment information for the current scene, and performs matching furniture layout adjustment operations on the target furniture in the current scene based on the layout adjustment information. It can intelligently generate layout adjustment information to change the furniture layout in the current scene when the installation location of the air conditioner does not match the layout of the current scene. It can perform intelligent adjustment operations on the furniture layout in the current scene in combination with the installation location of the air conditioner, which is conducive to improving the operating effect of the air conditioner in the current scene, improving the intelligence and accuracy of adjusting the furniture layout in the current scene, and further improving the user's comfort and experience when using the air conditioner in the current scene.

[0214] In an optional embodiment, such as Figure 5 As shown, the device also includes:

[0215] The determination module 307 is used to determine the operating influencing factors of the target air conditioner in the current scene based on the installation location information and scene layout information of the target air conditioner before the prediction module 304 predicts the predicted operating effect of the target air conditioner in the current scene. The operating influencing factors include one or more of the following: air supply range influencing factors, airflow trajectory influencing factors, and air conditioner operating power influencing factors.

[0216] The specific manner in which the prediction module 304 predicts the predicted running effect of the target air conditioner in the current scene includes:

[0217] The predicted running effect of the target air conditioner in the current scene is predicted based on all running influencing factors.

[0218] It can be seen that, in the implementation Figure 5 The described apparatus can determine running influencing factors of the target air conditioner in the current scene according to installation position information of the target air conditioner and scene layout information, and predict the predicted running effect of the target air conditioner in the current scene based on all running influencing factors. The running influencing factors can be determined in combination with the installation position information of the target air conditioner and the scene layout information, which is advantageous for improving the accuracy and reliability of determining the running influencing factors, and is advantageous for improving the intelligence of determining the running influencing factors. In addition, the predicted running effect of the target air conditioner in the current scene can be predicted based on all running influencing factors, which is advantageous for further improving the accuracy and reliability of predicting the predicted running effect, and is advantageous for further improving the accuracy and reliability of generating layout adjustment information of the current scene and performing a layout adjustment operation on the current scene based on the predicted running effect, thereby improving the running effect of the target air conditioner in the current scene, and is advantageous for improving the comfort and experience of using the target air conditioner by a user in the current scene.

[0219] In another optional embodiment, as Figure 5 shown, the determination module 307 is further configured to, after the acquisition module 301 acquires the installation position information of the target air conditioner and acquires the scene layout information of the current scene corresponding to the target air conditioner, determine device position information of each smart device in the current scene according to the scene layout information and the installation position information;

[0220] The generation module 305 is further configured to, for each smart device, generate a device influencing parameter of the smart device according to the device position information of the smart device; and generate a device influencing parameter set based on device influencing parameters of all smart devices, wherein the device influencing parameter includes an influencing factor of the smart device on the target air conditioner in the current scene.

[0221] The specific manner in which the prediction module 304 predicts the predicted running effect of the target air conditioner in the current scene includes:

[0222] The predicted running effect of the target air conditioner in the current scene is predicted based on all running influencing factors.

[0223] It can be seen that, in the implementation Figure 5The described apparatus can determine device position information of each smart device in a current scene according to scene layout information, generate device influence parameters of the smart devices according to the device position information of each smart device and installation position information, generate a device influence parameter set based on the device influence parameters of all the smart devices, and predict a predicted running effect of a target air conditioner in the current scene based on all the running influence parameters and the device influence parameter set. The device influence parameters of each smart device can be generated in combination with the device position information of each smart device and the installation position information of the target air conditioner, the device influence parameters can be generated by comprehensively considering multiple aspects of information, which is beneficial to improving the intelligence of generating the device influence parameters and improving the accuracy and reliability of generating the device influence parameters. Then, the predicted running effect of the target air conditioner in the current scene is predicted according to the running influence parameters of the target air conditioner and all the device influence parameters, which is beneficial to improving the intelligence and efficiency of predicting the predicted running effect of the target air conditioner in the current scene and improving the accuracy and reliability of predicting the predicted running effect of the target air conditioner in the current scene.

[0224] In yet another optional embodiment, as shown in FIG. 3, the generation module 305 generates layout adjustment information of the current scene according to the predicted running effect and the scene layout information in the following specific manner: Figure 5

[0225] According to the predicted running effect, determine running trend information of the target air conditioner;

[0226] Based on the running trend information and the scene layout information, determine at least one target furniture from all the furniture included in the current scene;

[0227] For each target furniture, determine furniture adjustment information of the target furniture according to the running trend information and the scene layout information;

[0228] Based on the furniture adjustment information of all the target furniture, generate layout adjustment information of the current scene.

[0229] It can be seen that the implementation Figure 5 ​The described apparatus can determine running trend information of the target air conditioner according to the predicted running effect, determine at least one target furniture from all the furniture included in the current scene based on the running trend information and the scene layout information, determine furniture adjustment information of each target furniture according to the running trend information and the scene layout information, generate layout adjustment information of the current scene based on the furniture adjustment information of all the target furniture, intelligently determine the target furniture to be adjusted, improve the intelligence and efficiency of determining the target furniture, and determine the furniture adjustment information of each target furniture according to the running trend information and the scene layout information, which is beneficial to improving the accuracy and reliability of determining the furniture adjustment information of each target furniture, and further improving the accuracy and reliability of generating the layout adjustment information of the current scene, and improving the intelligence and efficiency of generating the layout adjustment information of the current scene.

[0230] In yet another optional embodiment, as shown in FIG. 3, Figure 5 The specific manner in which the generating module 305 determines at least one target furniture from all the furniture included in the current scene based on the running trend information and the scene layout information includes:

[0231] Obtain furniture information of each furniture included in the current scene, the furniture information including one or more of furniture size information, furniture shape information, furniture purpose information, and furniture appearance information of the furniture;

[0232] Determine movable furniture from all the furniture according to the furniture information of each furniture;

[0233] Generate scene layout requirement information of the current scene based on the running trend information and the scene layout information;

[0234] For each movable furniture, calculate a layout requirement matching degree between the movable furniture and the scene layout requirement information, and determine whether the layout requirement matching degree of the movable furniture is greater than or equal to a preset matching degree threshold;

[0235] For each movable furniture, when it is determined that the layout requirement matching degree of the movable furniture is greater than or equal to the preset matching degree threshold, the movable furniture is determined as a target furniture.

[0236] It can be seen that the implementation Figure 5The described apparatus can acquire furniture information of each furniture included in the current scene, determine movable furniture from all the furniture according to the furniture information of each furniture, generate scene layout requirement information of the current scene based on the running trend information and the scene layout information, and calculate a layout requirement matching degree between each movable furniture and the scene layout requirement information, and determine whether the layout requirement matching degree of the movable furniture is greater than or equal to a preset matching degree threshold, and if so, determine the movable furniture as a target furniture. The movable furniture can be determined based on the furniture information, which is beneficial to improve the accuracy and reliability of determining the movable furniture, and is also beneficial to improve the intelligence of determining the movable furniture. By calculating the layout requirement matching degree between each movable furniture and the scene layout requirement information, the accuracy and reliability of determining the target furniture can be improved, and the intelligence and efficiency of determining the target furniture can be improved, thereby improving the subsequent generation of furniture adjustment information and improving the accuracy and intelligence of the layout adjustment information.

[0237] In yet another optional embodiment, as shown in FIG. 3B, the generation module 305 determines the specific manner of generating the furniture adjustment information of each target furniture according to the running trend information and the scene layout information, which includes: Figure 5

[0238] For each target furniture, the furniture influence factor of the target furniture on the running of the target air conditioner in the current scene is determined according to the running trend information;

[0239] For each target furniture, the optimization adjustment information of the target furniture is determined according to the furniture influence factor of the target furniture and the scene layout information, and the optimization adjustment information includes one or more of the adjustment position information and the adjustment direction information of the target furniture;

[0240] For each target furniture, the furniture adjustment information of the target furniture is generated according to the optimization adjustment information of the target furniture.

[0241] It can be seen that the implementation Figure 5 ​The apparatus described can determine, according to the running trend information, the furniture influence factor of each target furniture on the running of the target air conditioner in the current scene, determine, according to the furniture influence factor of the target furniture and the scene layout information, the optimization adjustment information of the target furniture, and generate, according to the optimization adjustment information of the target furniture, the furniture adjustment information of the target furniture, can determine the furniture influence factor of each target furniture in combination with the running trend information, is beneficial to improve the accuracy and reliability of the furniture influence factor of each target furniture, and can improve the adjustment of each target furniture and the matching degree between the current scene by the furniture influence factor of each target furniture and the scene layout information, is beneficial to improve the accuracy and reliability of determining the optimization adjustment information of each target furniture, and is further beneficial to improve the accuracy and reliability of determining the furniture adjustment information of each target furniture, and is further beneficial to improve the accuracy and reliability of subsequent generation of layout adjustment information.

[0242] In yet another optional embodiment, as shown in FIG. 6, the execution module 306 is further configured to, after the generation module 305 generates the layout adjustment information of the current scene according to the predicted running effect and the scene layout information, and before the execution module 306 executes the furniture layout adjustment operation on the target furniture in the current scene according to the layout adjustment information, perform a layout adjustment simulation operation on the current scene according to the layout adjustment information of the current scene and the scene layout information of the current scene, to obtain a layout simulation result, the layout simulation result including layout information of the current scene after performing the layout adjustment on all target furniture based on the layout adjustment information. Figure 5

[0243] The judgment module 303 is further configured to judge whether the layout simulation result meets the preset layout demand condition, and trigger the execution module 306 to execute the furniture layout adjustment operation on the target furniture in the current scene according to the layout adjustment information when it is judged that the layout simulation result meets the preset layout demand condition.

[0244] The analysis module 302 is further configured to analyze the target layout reason why the layout simulation result does not meet the preset layout demand condition when the judgment module 303 judges that the layout simulation result does not meet the preset layout demand condition.

[0245] The apparatus further comprises:

[0246] The update module 308 is configured to update the layout adjustment information based on the target layout reason, and re-trigger the execution module 306 to perform the layout adjustment simulation operation on the current scene according to the layout adjustment information of the current scene and the scene layout information of the current scene to obtain the layout simulation result, and trigger the judgment module 303 to perform the step of judging whether the layout simulation result meets the preset layout demand condition. ​

[0247] It can be seen that the implementation Figure 6 The described device can perform layout adjustment simulation operation on the current scene according to the layout adjustment information of the current scene and the scene layout information to obtain a layout simulation result, judge whether the layout simulation result meets the preset layout requirement condition, if yes, perform a matching layout adjustment operation on the target furniture in the current scene, if not, analyze the target layout reason why the layout simulation result does not meet the layout requirement condition, update the layout adjustment information based on the target layout reason, and perform the layout adjustment simulation operation on the current scene again to obtain the layout simulation result and judge whether the layout simulation result meets the preset layout requirement condition. The device can perform the layout adjustment simulation operation on the current scene to obtain the layout simulation result, which is beneficial to improve the accuracy and reliability of the simulation of the current scene, and is beneficial to improve the intelligence and efficiency of the simulation of the current scene. Based on the judgment of whether the layout simulation result meets the preset layout requirement condition, the corresponding operation is performed, which is beneficial to improve the intelligence and efficiency of the subsequent matching furniture layout adjustment operation on the target furniture based on the layout adjustment information, and is beneficial to improve the accuracy and reliability of the subsequent matching furniture layout adjustment operation on the target furniture based on the layout adjustment information.

[0248] Embodiment four

[0249] Please refer to Figure 6 , Figure 6 is another structure schematic view of the environmental layout intelligent adjustment device applied to the air conditioner installation scene disclosed by the embodiment of the present application. As ​ shown, the environmental layout intelligent adjustment device applied to the air conditioner installation scene can include:

[0250] The memory 401 stores executable program codes;

[0251] The processor 402 is coupled with the memory 401;

[0252] The processor 402 calls the executable program codes stored in the memory 401 to execute the steps in the environmental layout intelligent adjustment method applied to the air conditioner installation scene described in the embodiment one or the embodiment two of the present application.

[0253] Embodiment five

[0254] The embodiment of the present application discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, the steps in the environmental layout intelligent adjustment method applied to the air conditioner installation scene described in the embodiment one or the embodiment two of the present application are executed.

[0255] Embodiment six

[0256] The embodiment of the present application discloses a computer program product, which comprises a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute steps in the environment layout intelligent adjustment method applied to an air conditioner installation scene described in embodiment one or embodiment two.

[0257] The device embodiments described above are only schematic, wherein the modules illustrated as separate components can or can not be physically separated, and the components illustrated as modules can or can not be physical modules, i.e., can be located in one place or distributed on multiple network modules. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement it without creative labor.

[0258] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be realized by means of software and the necessary general hardware platform, and of course, it can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of software products, and the computer software product can be stored in a computer readable 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 electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disk storage, a magnetic disk storage, a magnetic tape storage, or any other computer readable medium that can be used to carry or store data.

[0259] It should be finally pointed out that: the application embodiment discloses a kind of environment layout intelligent adjustment method and device applied to air conditioner installation scene, only for the preferred embodiment of the application is disclosed, only for the description of the technical scheme of the application, not for its limitation;Although the application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand;It can still modify the technical scheme recorded in the foregoing embodiments, or make equivalent replacement to part of the technical features;And these modifications or replacements do not make the essence of the corresponding technical scheme deviate from the spirit and scope of the technical scheme of each embodiment of the application.

Claims

1. A method for intelligent adjustment of environmental layout applied to air conditioning installation scenarios, characterized in that, The method includes: Obtain the installation location information of the target air conditioner, and obtain the scene layout information of the current scene corresponding to the target air conditioner; Analyze the layout matching parameters between the installation location information and the scene layout information; Determine whether the layout matching parameters meet the preset air conditioning operating conditions; When it is determined that the layout matching parameters do not meet the preset air conditioner operating conditions, the predicted operating effect of the target air conditioner in the current scenario is predicted. Based on the predicted running effect and the scene layout information, layout adjustment information for the current scene is generated, and furniture layout adjustment operations matching the layout adjustment information are performed on the target furniture in the current scene; the target furniture is the furniture used to adjust the scene layout in the current scene. The step of generating layout adjustment information for the current scene based on the predicted running effect and the scene layout information includes: Based on the predicted operating results, determine the operating trend information of the target air conditioner; Based on the operational trend information and the scene layout information, at least one target piece of furniture is determined from all the furniture included in the current scene; For each target piece of furniture, the furniture adjustment information for that target piece of furniture is determined based on the running trend information and the scene layout information; Based on the furniture adjustment information of all the target furniture, the layout adjustment information of the current scene is generated; The step of determining at least one target furniture from all the furniture included in the current scene based on the running trend information and the scene layout information includes: Obtain furniture information for each piece of furniture included in the current scene. The furniture information includes one or more of the following: furniture size information, furniture shape information, furniture usage information, and furniture appearance information. Based on the furniture information of each piece of furniture, the movable furniture is determined from all the furniture pieces; Based on the running trend information and the scene layout information, the scene layout requirement information for the current scene is generated; For each piece of movable furniture, calculate the layout requirement matching degree between the movable furniture and the scene layout requirement information, and determine whether the layout requirement matching degree of the movable furniture is greater than or equal to a preset matching degree threshold. For each piece of movable furniture, when it is determined that the layout requirement matching degree of the movable furniture is greater than or equal to the preset matching degree threshold, the movable furniture is identified as the target furniture.

2. The intelligent environmental layout adjustment method for air conditioning installation scenarios according to claim 1, characterized in that, Before predicting the predicted operating effect of the target air conditioner in the current scenario, the method further includes: Based on the installation location information of the target air conditioner and the scene layout information, determine the operating influencing factors of the target air conditioner in the current scene. The operating influencing factors include one or more of the following: air supply range influencing factors, airflow trajectory influencing factors, and air conditioner operating power influencing factors. The prediction of the target air conditioner's predicted operating effect in the current scenario includes: Based on all the aforementioned operational influencing factors, predict the predicted operational performance of the target air conditioner in the current scenario.

3. The intelligent environmental layout adjustment method for air conditioning installation scenarios according to claim 2, characterized in that, After obtaining the installation location information of the target air conditioner and the scene layout information of the current scene corresponding to the target air conditioner, the method further includes: Based on the scene layout information, determine the device location information of each smart device in the current scene; For each of the smart devices, based on the device location information and the installation location information of the smart device, a device impact parameter for the smart device is generated, wherein the device impact parameter includes the factors affecting the target air conditioner in the current scenario; Based on the device impact parameters of all the aforementioned smart devices, a set of device impact parameters is generated; The step of predicting the predicted operating effect of the target air conditioner in the current scenario based on all the aforementioned operating influencing factors includes: Based on all the aforementioned operational influencing factors and the set of equipment influencing parameters, the predicted operational effect of the target air conditioner in the current scenario is predicted.

4. The intelligent environmental layout adjustment method for air conditioning installation scenarios according to claim 1, characterized in that, For each target furniture, the furniture adjustment information for that target furniture is determined based on the running trend information and the scene layout information, including: For each target piece of furniture, based on the operating trend information, determine the furniture influencing factors of that target furniture on the operation of the target air conditioner in the current scenario; For each target furniture, optimization adjustment information is determined based on the furniture influencing factors and the scene layout information. The optimization adjustment information includes one or more of the adjustment position information and adjustment direction information of the target furniture. For each target piece of furniture, furniture adjustment information is generated based on the optimization adjustment information of that target piece of furniture.

5. The intelligent environmental layout adjustment method for air conditioning installation scenarios according to claim 1, characterized in that, After generating the layout adjustment information for the current scene based on the predicted running effect and the scene layout information, and before performing furniture layout adjustment operations on the target furniture in the current scene that match the layout adjustment information, the method further includes: Based on the layout adjustment information of the current scene and the scene layout information of the current scene, a layout adjustment simulation operation is performed on the current scene to obtain a layout simulation result. The layout simulation result includes the layout information of the current scene after the layout adjustment is performed on all the target furniture based on the layout adjustment information. Determine whether the layout simulation results meet the preset layout requirements. When it is determined that the layout simulation result meets the preset layout requirement conditions, the step of performing furniture layout adjustment operation on the target furniture in the current scene according to the layout adjustment information to match the layout adjustment information is triggered. When it is determined that the layout simulation result does not meet the preset layout requirement conditions, the target layout reason for the failure of the layout simulation result is analyzed, the layout adjustment information is updated based on the target layout reason, and the step of performing the layout adjustment simulation operation on the current scene according to the layout adjustment information of the current scene and the scene layout information of the current scene is triggered again to obtain the layout simulation result, and the step of determining whether the layout simulation result meets the preset layout requirement conditions is triggered.

6. An intelligent environmental layout adjustment device for air conditioning installation scenarios, characterized in that, The device includes: The acquisition module is used to acquire the installation location information of the target air conditioner and the scene layout information of the current scene corresponding to the target air conditioner. The analysis module is used to analyze the layout matching parameters between the installation location information and the scene layout information; The judgment module is used to determine whether the layout matching parameters meet the preset air conditioning operating conditions; The prediction module is used to predict the predicted operating effect of the target air conditioner in the current scenario when the judgment module determines that the layout matching parameters do not meet the preset air conditioner operating conditions. The generation module is used to generate layout adjustment information for the current scene based on the predicted running effect and the scene layout information; An execution module is used to perform furniture layout adjustment operations on target furniture in the current scene according to the layout adjustment information, matching the layout adjustment information; the target furniture is furniture used to adjust the scene layout in the current scene. The specific methods by which the generation module generates the layout adjustment information of the current scene based on the predicted running effect and the scene layout information include: Based on the predicted operating results, determine the operating trend information of the target air conditioner; Based on the operational trend information and the scene layout information, at least one target piece of furniture is determined from all the furniture included in the current scene; For each target piece of furniture, the furniture adjustment information for that target piece of furniture is determined based on the running trend information and the scene layout information; Based on the furniture adjustment information of all the target furniture, the layout adjustment information of the current scene is generated; The specific method by which the generation module determines at least one target furniture from all the furniture included in the current scene based on the running trend information and the scene layout information includes: Obtain furniture information for each piece of furniture included in the current scene. The furniture information includes one or more of the following: furniture size information, furniture shape information, furniture usage information, and furniture appearance information. Based on the furniture information of each piece of furniture, the movable furniture is determined from all the furniture pieces; Based on the running trend information and the scene layout information, the scene layout requirement information for the current scene is generated; For each piece of movable furniture, calculate the layout requirement matching degree between the movable furniture and the scene layout requirement information, and determine whether the layout requirement matching degree of the movable furniture is greater than or equal to a preset matching degree threshold. For each piece of movable furniture, when it is determined that the layout requirement matching degree of the movable furniture is greater than or equal to the preset matching degree threshold, the movable furniture is identified as the target furniture.

7. An intelligent environmental layout adjustment device for air conditioning installation scenarios, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent environmental layout adjustment method for air conditioning installation scenarios as described in any one of claims 1-5.

8. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the intelligent environmental layout adjustment method for air conditioning installation scenarios as described in any one of claims 1-5.

Images