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

Abstract

The invention discloses an environment layout intelligent adjustment method and device applied to an air conditioner installation scene. The method comprises the steps that installation position information of a target air conditioner is obtained, and scene layout information of a current scene corresponding to the target air conditioner is obtained; analyzing layout matching parameters between the installation position information and the scene layout information; whether the layout matching parameters meet preset air conditioner operation conditions or not is judged; if not, predicting a predicted operation effect of the target air conditioner in the current scene; and generating layout adjustment information of the current scene according to the predicted operation effect and the scene layout information, and executing 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 current layout can be intelligently adjusted in combination with the installation position of the air conditioner, the operation effect of the air conditioner and the intelligence of layout adjustment can be improved, and then the experience feeling and the comfort degree of a user in a scene can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent layout adjustment, and in particular to a method and device for intelligently adjusting the environment layout applied to an air-conditioning installation scene. Background Art

[0002] In real life, for most families, the indoor layout is basically based on the indoor pattern and other factors for reference and home layout, but the existing method only considers the indoor pattern, and does not consider the position relationship of various indoor devices. For example, if the air conditioner is installed facing 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's user experience, but also easily affects the user's health. It can be seen that it is particularly important to provide a new environmental layout adjustment method to improve the intelligence of the layout and thus improve the user's experience and comfort in the scene. Summary of the invention

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

[0004] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent adjustment method for environment layout applied to an air-conditioning installation scene, the method comprising:

[0005] Obtaining installation location 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 location information and the scene layout information;

[0007] Determining whether the layout matching parameters meet preset air conditioning operating conditions;

[0008] When it is determined that the layout matching parameters do not meet the preset air-conditioning operation conditions, predicting the predicted operation effect of the target air-conditioning in the current scene;

[0009] According to the predicted operation effect and the scene layout information, the layout adjustment information of the current scene is generated, and according to the layout adjustment information, a furniture layout adjustment operation matching the layout adjustment information is performed on the target furniture in the current scene.

[0010] As an optional implementation, in the first aspect of the present invention, before predicting the predicted operating effect of the target air conditioner in the current scene, the method further includes:

[0011] Determine, according to the installation location information of the target air conditioner and the scene layout information, the operation influencing factors of the target air conditioner in the current scene, wherein the operation influencing factors include one or more of the air supply range influencing factors, air flow supply trajectory influencing factors, and air conditioner operation power influencing factors of the target air conditioner in the current scene;

[0012] The predicting the predicted operating effect of the target air conditioner in the current scene includes:

[0013] Based on all the operation influencing factors, the predicted operation effect of the target air conditioner in the current scene is predicted.

[0014] As an optional implementation, in the first aspect of the present invention, after obtaining the installation location 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 includes:

[0015] Determine device location information of each smart device in the current scene according to the scene layout information;

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

[0017] Generate a device impact parameter set based on the device impact parameters of all the smart devices;

[0018] The predicting of the predicted operating effect of the target air conditioner in the current scene based on all the operating influencing factors includes:

[0019] Based on all the operation influencing parameters and the set of equipment influencing parameters, a predicted operation effect of the target air conditioner in the current scene is predicted.

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

[0021] Determining the operation trend information of the target air conditioner according to the predicted operation effect;

[0022] Based on the operation trend information and the scene layout information, determining at least one target furniture from all the furniture included in the current scene;

[0023] For each of the target furniture, determining furniture adjustment information of the target furniture according to the operation trend information and the scene layout information;

[0024] Based on the furniture adjustment information of all the target furniture, the layout adjustment information of the current scene is generated.

[0025] As an optional implementation, in the first aspect of the present invention, determining at least one target furniture from all furniture included in the current scene based on the operation trend information and the scene layout information includes:

[0026] Acquire furniture information of each piece of furniture included in the current scene, wherein the furniture information includes one or more of furniture size information, furniture shape information, furniture usage information, and furniture appearance information of the furniture;

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

[0028] Based on the operation trend information and the scene layout information, generating scene layout requirement information of the current scene;

[0029] For each movable furniture, calculating the 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;

[0030] 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 the target furniture.

[0031] As an optional implementation, in the first aspect of the present invention, for each of the target furniture, determining the furniture adjustment information of the target furniture according to the operation trend information and the scene layout information includes:

[0032] For each of the target furniture, determining, according to the operation trend information, a furniture influence factor of the target furniture on the operation of the target air conditioner in the current scene;

[0033] For each of the target furniture, determining the optimization adjustment information of the target furniture according to the furniture influencing factors of the target furniture and the scene layout information, wherein the optimization adjustment information includes one or more of the adjustment position information and the adjustment direction information of the target furniture;

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

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

[0036] According to 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, wherein the layout simulation result includes layout information of the current scene after the layout adjustment is performed on all the target furniture based on the layout adjustment information;

[0037] Determining whether the layout simulation result meets the preset layout requirement conditions;

[0038] When it is determined that the layout simulation result meets the preset layout requirement condition, triggering the step of performing a furniture layout adjustment operation matching the layout adjustment information 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 requirement conditions, the target layout reason why the layout simulation result does not meet the preset layout requirement conditions is analyzed, and the layout adjustment information is updated based on the target layout reason, and the steps of performing 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, obtaining the layout simulation result and triggering the execution of the step of determining whether the layout simulation result meets the preset layout requirement conditions are triggered.

[0040] A second aspect of the present invention discloses an intelligent adjustment device for environment layout applied to an air-conditioning installation scene, the device comprising:

[0041] The device comprises:

[0042] An acquisition module, used to acquire installation location information of a target air conditioner, and to acquire scene layout information of a current scene corresponding to the target air conditioner;

[0043] An analysis module, used for analyzing layout matching parameters between the installation location information and the scene layout information;

[0044] A judgment module, used to judge whether the layout matching parameters meet the preset air-conditioning operation conditions;

[0045] A prediction module, configured to predict the predicted operation effect of the target air conditioner in the current scene when the judgment module determines that the layout matching parameter does not meet the preset air conditioner operation condition;

[0046] A generation module, used to generate layout adjustment information of the current scene according to the predicted operation effect and the scene layout information;

[0047] An execution module is used to perform a furniture layout adjustment operation matching the layout adjustment information on the target furniture in the current scene according to the layout adjustment information.

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

[0049] a determination module, used for determining, before the prediction module predicts the predicted operation effect of the target air conditioner in the current scene, the operation influencing factors of the target air conditioner in the current scene according to the installation location information of the target air conditioner and the scene layout information, the operation influencing factors including one or more of the air supply range influencing factors, air flow supply trajectory influencing factors, and air conditioner operation power influencing factors of the target air conditioner in the current scene;

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

[0051] Based on all the operation influencing factors, the predicted operation effect of the target air conditioner in the current scene is predicted.

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

[0053] The generating module is further configured to generate, for each of the smart devices, a device impact parameter of the smart device according to the device location information of the smart device; and generate a set of device impact parameters based on the device impact parameters of all the smart devices, wherein the device impact parameters include the impact factors 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 operating effect of the target air conditioner in the current scene based on all the operating influencing factors includes:

[0055] Based on all the operation influencing parameters and the set of equipment influencing parameters, a predicted operation effect of the target air conditioner in the current scene is predicted.

[0056] As an optional implementation, in the second aspect of the present invention, 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 includes:

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

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

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

[0060] Based on the furniture adjustment information of all the target furniture, the layout adjustment information of the current scene is generated.

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

[0062] Acquire furniture information of each piece of furniture included in the current scene, wherein the furniture information includes one or more of furniture size information, furniture shape information, furniture usage information, and furniture appearance information of the furniture;

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

[0064] Based on the operation trend information and the scene layout information, generating scene layout requirement information of the current scene;

[0065] For each movable furniture, calculating the 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;

[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, the movable furniture is determined as the target furniture.

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

[0068] For each of the target furniture, determining, according to the operation trend information, a furniture influence factor of the target furniture on the operation of the target air conditioner in the current scene;

[0069] For each of the target furniture, determining the optimization adjustment information of the target furniture according to the furniture influencing factors of the target furniture and the scene layout information, wherein 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, furniture adjustment information of the target furniture is generated according to the optimization adjustment information of the target furniture.

[0071] As an optional implementation, in the second aspect of the present invention, the execution module is further used to 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 after the generation module generates the layout adjustment information of the current scene according to the predicted operation effect and the scene layout information, and before performing a furniture layout adjustment operation matching the layout adjustment information on the target furniture in the current scene according to the layout adjustment information, to obtain the layout simulation result, wherein 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;

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

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

[0074] The device also includes:

[0075] An updating module is used to update the layout adjustment information based on the target layout reason, and to re-trigger the execution module to execute the layout adjustment information of the current scene and the scene layout information of the current scene, perform a layout adjustment simulation operation on the current scene, obtain the layout simulation result, and trigger the judgment module to execute the step of judging whether the layout simulation result meets the preset layout requirement conditions.

[0076] A third aspect of the present invention discloses another device for intelligently adjusting the environment layout applied to an air-conditioning installation scene, the device comprising:

[0077] A memory storing executable program code;

[0078] a processor coupled to the memory;

[0079] The processor calls the executable program code stored in the memory to execute the intelligent adjustment method of environmental layout applied to air-conditioning installation scenarios disclosed in the first aspect of the present invention.

[0080] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the intelligent adjustment method of environmental layout applied to air-conditioning installation scenarios disclosed in the first aspect of the present invention.

[0081] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0082] In an embodiment of the present invention, the installation location information of the target air conditioner is obtained, and the scene layout information of the current scene corresponding to the target air conditioner is obtained; the layout matching parameters between the installation location information and the scene layout information are analyzed; it is determined whether the layout matching parameters meet the preset air conditioner operation conditions; if not, the predicted operation effect of the target air conditioner in the current scene is predicted; according to the predicted operation effect and the scene layout information, the layout adjustment information of the current scene is generated, and according to the layout adjustment information, the furniture layout adjustment operation matching the layout adjustment information is performed on the target furniture in the current scene. It can be seen that the implementation of the present invention can perform intelligent adjustment on the current layout in combination with the installation location of the air conditioner, which is conducive to improving the operation effect of the air conditioner and the intelligence of the layout adjustment, and further conducive to improving the user experience and comfort in the scene. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0084] Figure 1 It is a scene schematic diagram of an intelligent adjustment scene of an environment layout applied to an air-conditioning installation scene disclosed in an embodiment of the present invention;

[0085] Figure 2 It is a flow chart of an intelligent adjustment method for environment layout applied to an air-conditioning installation scene disclosed in an embodiment of the present invention;

[0086] Figure 3 It is a flow chart of another method for intelligently adjusting the environment layout applied to an air-conditioning installation scenario disclosed in an embodiment of the present invention;

[0087] Figure 4 It is a structural schematic diagram of an intelligent adjustment device for environment layout applied to an air-conditioning installation scene disclosed in an embodiment of the present invention;

[0088] Figure 5 It is a structural schematic diagram of another environmental layout intelligent adjustment device applied to air conditioning installation scenarios disclosed in an embodiment of the present invention;

[0089] Figure 6 It is a structural schematic diagram of another environmental layout intelligent adjustment device applied to air-conditioning installation scenarios disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0090] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0091] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0092] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

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

[0094] In order to better understand the method and device for intelligently adjusting the environment layout applied to the air-conditioning installation scene disclosed in the present invention, the intelligent adjustment scene of the environment layout applied to the air-conditioning installation scene is first described. Specifically, the intelligent adjustment scene of the environment layout applied to the air-conditioning installation scene can be as follows: Figure 1 As shown, Figure 1 1 is a schematic diagram of a scene of intelligently adjusting the environment layout applied to an air-conditioning installation scene disclosed in an embodiment of the present invention. Figure 1 As shown, the intelligent adjustment scene of the environment layout applied to the air conditioner installation scene may include tables, chairs, fans and air conditioners; optionally, the intelligent adjustment scene of the environment layout applied to the air conditioner installation scene may be a home scene, or a shopping mall scene, a company scene, etc., which is not limited by the embodiment of the present invention. It should be noted that the intelligent adjustment method of the environment layout applied to the air conditioner installation scene in this scene may be to obtain 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, and judge whether the preset air conditioner operation conditions are met. If not, the predicted operation effect of the target air conditioner in the current scene is predicted, and the layout adjustment information of the current scene is generated according to the predicted operation effect and the scene layout information. According to the layout adjustment information, the matching layout adjustment operation is performed on the target furniture in the current scene, and the current layout can be intelligently adjusted in combination with the installation location of the air conditioner, which is conducive to improving the operation effect of the air conditioner and the intelligence of the layout adjustment, and thus is conducive to improving the user experience and comfort in the scene.

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

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

[0097] Further optionally, after generating the layout adjustment information, a layout adjustment simulation operation is performed according to the layout adjustment information and the scene layout information to obtain a layout simulation result, and it is determined whether the layout simulation result meets the preset layout requirement conditions; if so, a layout adjustment operation matching the layout adjustment information is performed on the target furniture in the current scene; if not, the target layout 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 target layout reasons, and the layout adjustment operation is re-executed to obtain the layout simulation result and whether the layout simulation result meets the preset layout requirement conditions is re-determined.

[0098] For example, if Figure 1 As shown, Figure 1 It is a home scene, and the installation position of the target air conditioner is located at the upper and rear side relative to the chairs and the table, and the air conditioner is blowing air directly towards the chairs and the table. At this time, there is also a fan in the current scene, and the fan is blowing air relative to the right side of the chairs and the table and towards the wall. At this time, the fan is determined to be the target furniture, and the layout adjustment information of the fan is determined to be moving the fan to the left side of the air conditioner, so that the fan also blows air towards the chairs and the table, and the fan is moved to the left side of the air conditioner.

[0099] It should be noted that Figure 1The scenario architecture shown is only for representing the scenario used by the method for intelligently adjusting the environment layout applied to the air-conditioning installation scenario. The tables, chairs, air-conditioners and fans involved are only schematically shown. The specific structure / size / shape / location / installation method can be adaptively adjusted according to the actual scenario. Figure 1 The scene architecture shown is not limited to this.

[0100] The above describes the scenario in which the method for intelligently adjusting the environment layout applied to the air-conditioning installation scenario is used. The following describes in detail the method and device for intelligently adjusting the environment layout applied to the air-conditioning installation scenario.

[0101] Embodiment 1

[0102] See also Figure 2 , Figure 2 1 is a flow chart of an intelligent adjustment method for environment layout applied to air conditioner installation scenarios disclosed in an embodiment of the present invention. Figure 2 The method for intelligently adjusting the environment layout of an air conditioner installation scene described above can be applied to an intelligently adjusting device for the environment layout of an air conditioner installation scene, can also be applied to a local server or cloud server for intelligently adjusting the environment layout of an air conditioner installation scene, and can also be applied to the air conditioner itself, which is not limited in the embodiments of the present invention. Figure 2 As shown, the intelligent adjustment method of the environment layout applied to the air-conditioning installation scene may include the following operations:

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

[0104] In the embodiment of the present invention, optionally, the installation location information of the target air conditioner and the Huqiu target can be obtained in real time, or can be obtained periodically according to a preset time period, or can be obtained when the environmental layout needs to be adjusted, which is not specifically limited in the embodiment of the present invention.

[0105] In an embodiment of the present invention, optionally, 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 can be obtained through a camera, an infrared sensor, a radar sensor, a visual sensor, etc.

[0106] In an embodiment of the present invention, optionally, the installation location information of the target air conditioner includes the installation location 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 number of furniture in 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 layout matching parameters between the installation location information and the scene layout information.

[0108] In the embodiment of the present invention, optionally, analyzing the layout matching parameters between the installation location information and the scene layout information includes:

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

[0110] In the embodiment of the present invention, optionally, the layout matching parameters include installation location information and scene layout information.

[0111] 103. Determine whether the layout matching parameters meet the preset air conditioning operation conditions.

[0112] In the embodiment of the present invention, optionally, determining whether the layout matching parameters meet the preset air-conditioning operation conditions includes:

[0113] Determine the layout matching degree according to the layout matching parameters, where the layout matching degree includes the information matching degree between the installation location information and the scene layout information;

[0114] Determine whether the layout matching parameter is greater than or equal to a preset air conditioning operation matching threshold;

[0115] When it is determined that the layout matching parameter is greater than or equal to a preset air conditioning operation matching threshold, determining that the layout matching parameter meets a preset air conditioning operation condition;

[0116] When it is determined that the layout matching parameter is less than the preset air-conditioning operation matching threshold, it is determined that the layout matching parameter does not meet the preset air-conditioning operation condition.

[0117] 104. When it is determined that the layout matching parameters do not meet the preset air-conditioning operation conditions, predict the operation effect of the target air-conditioning in the current scene.

[0118] In the embodiment of the present invention, further optionally, when it is determined that the layout matching parameters meet the preset air-conditioning operating conditions, it is determined that the installation location information of the target air-conditioner matches the scene layout information of the current scene, and the present process can be terminated.

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

[0120] 105. Generate layout adjustment information of the current scene according to the predicted operation effect and the scene layout information, and perform a furniture layout adjustment operation that matches the layout adjustment information on the target furniture in the current scene according to the layout adjustment information.

[0121] In the embodiment of the present invention, optionally, the layout adjustment information is used to perform a layout adjustment operation on the furniture in the current scene.

[0122] In the embodiment of the present invention, optionally, the number of target furniture in the current scene may be one or more, which is not limited in the embodiment of the present invention.

[0123] It can be seen that implementation Figure 2 The described method for intelligent adjustment of environmental layout applied to air-conditioning installation scenes can obtain 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, and determine whether the layout matching parameters meet the preset air-conditioning operation conditions. If not, the predicted operation effect of the target air-conditioner in the current scene is predicted, and the layout adjustment information of the current scene is generated according to the predicted operation effect and the scene layout information. According to the layout adjustment information, matching furniture layout adjustment operations are performed on the target furniture in the current scene. When the installation location of the air-conditioner does not match the layout of the current scene, layout adjustment information can be intelligently generated to change the furniture layout in the current scene. The furniture layout in the current scene can be intelligently adjusted in combination with the installation location of the air-conditioner, which is beneficial to improving the operation effect of the air-conditioner in the current scene, and is beneficial to improving the intelligence and accuracy of adjusting the furniture layout in the current scene, and further beneficial to improving the comfort and experience of users using the air-conditioner in the current scene.

[0124] Embodiment 2

[0125] See also Figure 3 , Figure 3 1 is a flow chart of another method for intelligently adjusting the environment layout of an air conditioner installation scenario disclosed in an embodiment of the present invention. Figure 3 The method for intelligently adjusting the environment layout of an air conditioner installation scene described above can be applied to an intelligently adjusting device for the environment layout of an air conditioner installation scene, can also be applied to a local server or cloud server for intelligently adjusting the environment layout of an air conditioner installation scene, and can also be applied to the air conditioner itself, which is not limited in the embodiments of the present invention. Figure 3 As shown, the intelligent adjustment method of the environment layout applied to the air-conditioning installation scene may include the following operations:

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

[0127] 202. Analyze layout matching parameters between the installation location information and the scene layout information.

[0128] 203. Determine whether the layout matching parameters meet preset air conditioning operation conditions.

[0129] 204. When it is determined that the layout matching parameters do not meet the preset air-conditioning operating conditions, the operating influencing factors of the target air-conditioning in the current scene are determined according to the installation location information of the target air-conditioning and the scene layout information, and the predicted operating effect of the target air-conditioning in the current scene is predicted based on all the operating influencing factors.

[0130] In the embodiment of the present invention, the operation influencing factors include one or more of the air supply range influencing factors of the target air conditioner in the current scene, the air flow trajectory influencing factors, and the air conditioner operation power influencing factors.

[0131] In an embodiment of the present invention, optionally, factors affecting the air supply range of the target air conditioner in the current scene include factors affecting the air supply range of the target air conditioner in the current scene; factors affecting the airflow supply trajectory include factors affecting the airflow supply trajectory of the target air conditioner in the current scene; factors affecting the air conditioner operating power include factors affecting the operating power of the target air conditioner in the current scene.

[0132] In the embodiment of the present invention, optionally, the number of the operation influencing factors is at least one.

[0133] In an embodiment of the present invention, optionally, the operation influencing factors include the influencing factors of the scene layout information on the air-conditioning operation of the target air-conditioner at the installation position corresponding to the installation position information. For example, if there is a vertical cabinet in front of the installation position of the target air-conditioner in the current scene, it is determined that the vertical cabinet will block the air outlet of the target air-conditioner in the current scene, and the locations of the vertical cabinet and the historical cabinet are determined as the operation influencing factors of the target air-conditioner in the current scene.

[0134] 205. Generate layout adjustment information of the current scene according to the predicted operation effect and the scene layout information, and perform a furniture layout adjustment operation that matches the layout adjustment information on the target furniture in the current scene according to the layout adjustment information.

[0135] In the embodiment of the present invention, for the detailed description of steps 201 to 203 and step 205, please refer to the other descriptions of steps 101 to 103 and step 105 in the first embodiment, and the embodiment of the present invention will not be repeated.

[0136] It can be seen that the implementation Figure 3The described intelligent adjustment method for environmental layout applied to air-conditioning installation scenarios can determine the operation influencing factors of the target air-conditioner in the current scenario according to the installation location information of the target air-conditioner and the scene layout information, and predict the predicted operation effect of the target air-conditioner in the current scenario based on all the operation influencing factors. The operation influencing factors can be determined in combination with the installation location information of the target air-conditioner and the scene layout information, which is conducive to improving the accuracy and reliability of determining the operation influencing factors, as well as the intelligence of determining the operation influencing factors. The predicted operation effect of the target air-conditioner in the current scenario can also be predicted based on all the operation influencing factors, which is conducive to further improving the accuracy and reliability of the predicted operation effect, and is also conducive to further improving the subsequent generation of layout adjustment information of the current scene based on the predicted operation effect and the accuracy and reliability of performing layout adjustment operations on the current scene, thereby improving the operation effect of the target air-conditioner in the current scenario, and is conducive to improving the comfort and experience of users in the current scene using the target air-conditioner.

[0137] In an optional embodiment, after obtaining the installation location 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 includes:

[0138] Determine the device location information of each smart device in the current scene according to the scene layout information;

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

[0140] Generate a device impact parameter set based on device impact parameters of all smart devices;

[0141] Among them, based on all operating influencing factors, the predicted operating effect of the target air conditioner in the current scenario is predicted, including:

[0142] Based on all operation influencing parameters and equipment influencing parameter sets, the predicted operation effect of the target air conditioner in the current scenario is predicted.

[0143] In this optional embodiment, optionally, each smart device in the current scene can be one or more of a smart fan, a smart light, a smart sweeping robot, a smart floor scrubber, etc., which is not specifically limited in the embodiment of the present invention.

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

[0145] In this optional embodiment, optionally, for each smart device, generating a device impact parameter of the smart device according to the device location information and installation location information of the smart device includes:

[0146] For each smart device, the device function information of the smart device is obtained, and based on the device location information, the device function information and the installation location information of the smart device, the impact parameters of the smart device on the operation of the target air conditioner in the current scene are determined, and based on all the impact parameters of the smart device on the operation of the target air conditioner in the current scene, the device impact parameters of the smart device are generated.

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

[0148] In this optional embodiment, optionally, based on all operation influencing parameters and a set of equipment influencing parameters, predicting the predicted operation effect of the target air conditioner in the current scene includes:

[0149] Based on all the operation influencing parameters and the device influencing parameter set, generating target impact information of all the smart devices in the current scene on the operation of the target air conditioner in the current scene, wherein the target impact information includes all the operation influencing parameters and the device influencing parameter set;

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

[0151] It can be seen that the implementation of this optional embodiment can determine the device location information of each smart device in the current scene according to the scene layout information, and generate the device influence parameters of the smart device according to the device location information and the installation location information of each smart device, generate a device influence parameter set based on the device influence parameters of all smart devices, and predict the predicted operating effect of the target air conditioner in the current scene based on all operating influence parameters and the device influence parameter set, and can generate the device influence parameters of the smart device in combination with the device location information of each smart device and the installation location information of the target air conditioner, and can realize the generation of device influence parameters by integrating multiple aspects of information, which is conducive to improving the intelligence of generating device influence parameters, and is conducive to improving the accuracy and reliability of generating device influence parameters, and then predicting the predicted operating effect of the target air conditioner in the current scene according to the operating influence parameters of the target air conditioner and all device influence parameters, which is conducive to improving the intelligence and efficiency of predicting the predicted operating effect of the target air conditioner in the current scene, and is conducive to improving the accuracy and reliability of predicting the predicted operating effect of the target air conditioner in the current scene.

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

[0153] Determine the operating trend information of the target air conditioner based on the predicted operating effect;

[0154] Based on the operation trend information and the scene layout information, determining at least one target furniture from all the furniture included in the current scene;

[0155] For each target furniture, determine the furniture adjustment information of the target furniture according to the operation trend information and the scene layout information;

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

[0157] In this optional embodiment, optionally, determining the operation trend information of the target air conditioner according to the predicted operation effect includes:

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

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

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

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

[0162] Generate a furniture adjustment information set according to the furniture adjustment information of all target furniture, wherein the furniture adjustment information set includes the furniture adjustment information corresponding to each target furniture;

[0163] Generate layout adjustment information of the current scene based on the furniture adjustment information set.

[0164] It can be seen that the implementation of this optional embodiment can determine the operating trend information of the target air conditioner according to the predicted operating effect, determine at least one target furniture from all the furniture included in the current scene based on the operating trend information and the scene layout information, and determine the furniture adjustment information of each target furniture according to the operating trend information and the scene layout information, generate the layout adjustment information of the current scene based on the furniture adjustment information of all target furniture, and can intelligently determine the target furniture to be adjusted, which can improve the intelligence and efficiency of determining the target furniture, and determine the furniture adjustment information of each target furniture according to the operating trend information and the scene layout information, which can specifically determine the furniture adjustment information of each target furniture, which is conducive to improving the accuracy and reliability of determining the furniture adjustment information of each target furniture, and then is conducive to improving the accuracy and reliability of producing the layout adjustment information of the current scene, and is conducive to improving the intelligence and efficiency of producing the layout adjustment information of the current scene.

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

[0166] Acquire furniture information of each piece of furniture included in the current scene, where the furniture information includes one or more of furniture size information, furniture shape information, furniture usage information, and furniture appearance information of the furniture;

[0167] According to the furniture information of each piece of furniture, the movable furniture is determined from all the furniture;

[0168] Generate scene layout requirement information of the current scene based on the operation trend information and scene layout information;

[0169] For each 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;

[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 a preset matching degree threshold, the movable furniture is determined as the target furniture.

[0171] In this 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 a preset matching degree threshold, the movable furniture is not the target furniture.

[0172] In this optional embodiment, optionally, the movable furniture is determined from all the furniture according to the furniture information of each piece of furniture, including:

[0173] For each piece of furniture, determine whether the furniture is a fixed piece of furniture in the current scene based on the furniture information of the furniture. When it is determined that the furniture is a fixed piece of furniture in the current scene, the furniture is not a movable piece of furniture. When it is determined that the furniture is not a fixed piece of furniture in the current scene, the furniture is a movable piece of furniture.

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

[0175] Based on the operation trend information, the scene demand information of the target air conditioner in the current scene is generated, and based on the scene demand information and the scene layout information, the scene layout demand information of the current scene is generated.

[0176] In this optional embodiment, the number of target furniture may be one or more, which is not specifically limited in the embodiment of the present invention.

[0177] It can be seen that the implementation of this optional embodiment can obtain the furniture information of each piece of furniture included in the current scene, determine the movable furniture from all the furniture according to the furniture information of each piece of furniture, generate the scene layout requirement information of the current scene based on the operation trend information and the scene layout information, calculate the layout requirement matching degree between each movable furniture and the scene layout requirement information, 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 the target furniture, and be able to determine the movable furniture based on the furniture information, which is conducive to improving the accuracy and reliability of determining the movable furniture, and is also conducive to improving 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, it is possible to improve the accuracy and reliability of determining the target furniture, and is conducive to improving the intelligence and efficiency of determining the target furniture, and thus is conducive to improving the subsequent generation of furniture adjustment information and improving the accuracy and intelligence of layout adjustment information.

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

[0179] For each target furniture, determine the furniture influencing factor of the target furniture on the operation of the target air conditioner in the current scene according to the operation trend information;

[0180] For each target furniture, determining the optimization adjustment information of the target furniture according to the furniture influencing factors of the target furniture and the scene layout information, where the optimization adjustment information includes one or more of the adjustment position information and the adjustment direction information of the target furniture;

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

[0182] In this optional embodiment, optionally, for each target furniture, the furniture influencing factor of the target furniture includes an operating influencing factor of the target furniture on the target air conditioner in the current scene.

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

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

[0185] For each target furniture, the furniture influencing factors and scene layout information of the target furniture 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 this optional embodiment, optionally, for each target furniture, generating furniture adjustment information of the target furniture according to the optimization adjustment information of the target furniture includes:

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

[0188] It can be seen that the implementation of this optional embodiment can determine the furniture influencing factors of each target furniture on the operation of the target air conditioner in the current scene according to the operation trend information, and determine the optimization adjustment information of the target furniture according to the furniture influencing factors of the target furniture and the scene layout information, and generate the furniture adjustment information of the target furniture according to the optimization adjustment information of the target furniture, and can determine the furniture influencing factors of each target furniture in a targeted manner in combination with the operation trend information, which is conducive to improving the accuracy and reliability of the furniture influencing factors of each target furniture, and determine the optimization adjustment information of the target furniture through the furniture influencing factors of each target furniture and the scene layout information, which can improve the adaptability and matching degree between the adjustment of each target furniture and the current scene, which is conducive to improving the accuracy and reliability of determining the optimization adjustment information of each target furniture, and then it is conducive to improving the accuracy and reliability of determining the furniture adjustment information of each target furniture, and then it is conducive to improving the accuracy and reliability of subsequently generating layout adjustment information.

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

[0190] According to 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, wherein the layout simulation result includes layout information after the current scene performs layout adjustment on all target furniture based on the layout adjustment information;

[0191] Determine whether the layout simulation results meet the preset layout requirement conditions;

[0192] When it is determined that the layout simulation result meets the preset layout requirement condition, triggering the step of performing a furniture layout adjustment operation matching the layout adjustment information 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 conditions, the target layout reason why the layout simulation result does not meet the preset layout requirement conditions is analyzed, and the layout adjustment information is updated based on the target layout reason, and the layout adjustment information of the current scene and the scene layout information of the current scene are re-triggered to perform a layout adjustment simulation operation on the current scene to obtain the layout simulation result step and trigger the execution of the step of determining whether the layout simulation result meets the preset layout requirement conditions.

[0194] In this optional embodiment, optionally, according to 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, including:

[0195] The layout adjustment information of the current scene and the scene layout information of the current scene are input into a predetermined adjustment simulation model, so that the adjustment simulation model performs a layout adjustment simulation operation on the current scene, obtains an adjustment simulation output result, and generates a layout simulation result according to the adjustment simulation output result.

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

[0197] Generate layout simulation information according to the layout simulation result, and generate layout requirement information according to the preset layout requirement conditions;

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

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

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

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

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

[0203] Layout simulation keywords are extracted from the layout simulation results, and layout requirement keywords are extracted from the preset layout requirement conditions, keyword difference parameters between the layout simulation keywords and the layout requirement keywords are calculated, and target layout reasons are generated based on the keyword difference parameters.

[0204] It can be seen that the implementation of this optional embodiment can 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 to obtain a layout simulation result, and judge whether the layout simulation result meets the preset layout requirement conditions. If so, a matching layout adjustment operation is performed on the target furniture in the current scene; if not, the target layout reason why the layout simulation result does not meet the layout requirement conditions is analyzed, and the layout adjustment information is updated based on the target layout reason, and the layout adjustment simulation operation is re-performed on the current scene to obtain a layout simulation result and judge whether the layout simulation result meets the preset layout requirement conditions. The layout adjustment simulation operation can be performed on the current scene to obtain a layout simulation result, which is beneficial to improving the accuracy and reliability of simulating the current scene, as well as improving the intelligence and efficiency of simulating the current scene, and based on judging whether the layout simulation result meets the preset layout requirement conditions, the corresponding operation is performed, which is beneficial to improving the intelligence and efficiency of the subsequent execution of matching furniture layout adjustment operations on the target furniture according to the layout adjustment information, as well as improving the accuracy and reliability of the subsequent execution of matching furniture layout adjustment operations on the target furniture according to the layout adjustment information.

[0205] Embodiment 4

[0206] See also Figure 4 , Figure 4 Schematic diagram of the structure of an intelligent adjustment device for environment layout applied to air conditioner installation scene disclosed in an embodiment of the present invention. Figure 4 As shown, the environment layout intelligent adjustment device applied to the air conditioning installation scene may include:

[0207] The acquisition module 301 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;

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

[0209] The judging module 303 is used to judge whether the layout matching parameters meet the preset air-conditioning operation conditions;

[0210] The prediction module 304 is used to predict the predicted operation 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 operation conditions;

[0211] A generation module 305 is used to generate layout adjustment information of the current scene according to the predicted operation effect and the scene layout information;

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

[0213] It can be seen that implementation Figure 4 The described device can obtain 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, and determine whether the layout matching parameters meet the preset air-conditioning operation conditions. If not, the predicted operation effect of the target air conditioner in the current scene is predicted, and the layout adjustment information of the current scene is generated according to the predicted operation effect and the scene layout information. According to the layout adjustment information, a matching furniture layout adjustment operation is performed on the target furniture in the current scene. When the installation location of the air conditioner does not match the layout of the current scene, the layout adjustment information can be intelligently generated to change the furniture layout in the current scene. The intelligent adjustment operation can be performed on the furniture layout in the current scene in combination with the installation location of the air conditioner, which is beneficial to improving the operation effect of the air conditioner in the current scene, and is beneficial to improving the intelligence and accuracy of adjusting the furniture layout in the current scene, and further beneficial to improving the comfort and experience of the user when using the air conditioner in the current scene.

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

[0215] The determination module 307 is used to determine the operation influencing factors of the target air conditioner in the current scene before the prediction module 304 predicts the predicted operation effect of the target air conditioner in the current scene according to the installation location information of the target air conditioner and the scene layout information, and the operation influencing factors include one or more of the air supply range influencing factors, air flow supply trajectory influencing factors, and air conditioner operation power influencing factors of the target air conditioner in the current scene;

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

[0217] Based on all operating influencing factors, predict the predicted operating effect of the target air conditioner in the current scenario.

[0218] It can be seen that the implementation Figure 5 The described device can determine the operation influencing factors of the target air conditioner in the current scene according to the installation location information of the target air conditioner and the scene layout information, and predict the predicted operation effect of the target air conditioner in the current scene based on all the operation influencing factors. It can determine the operation influencing factors in combination with the installation location information of the target air conditioner and the scene layout information, which is conducive to improving the accuracy and reliability of determining the operation influencing factors, and is conducive to improving the intelligence of determining the operation influencing factors. It can also predict the predicted operation effect of the target air conditioner in the current scene based on all the operation influencing factors, which is conducive to further improving the accuracy and reliability of the predicted operation effect, and is also conducive to further improving the subsequent generation of layout adjustment information of the current scene based on the predicted operation effect and performing layout adjustment operations on the current scene. Accuracy and reliability, thereby improving the operation effect of the target air conditioner in the current scene, and is conducive to improving the comfort and experience of users in the current scene using the target air conditioner.

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

[0220] The generating module 305 is further used to generate, for each smart device, a device influence parameter of the smart device according to the device location information of the smart device; and generate a device influence parameter set based on the device influence parameters of all smart devices, wherein the device influence parameter includes the influence factor of the smart device on the target air conditioner in the current scene;

[0221] The specific method in which the prediction module 304 predicts the predicted operation effect of the target air conditioner in the current scene based on all operation influencing factors includes:

[0222] Based on all operation influencing parameters and equipment influencing parameter sets, the predicted operation effect of the target air conditioner in the current scenario is predicted.

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

[0224] In yet another optional embodiment, Figure 5 As shown, the specific manner in which the generation module 305 generates the layout adjustment information of the current scene according to the predicted operation effect and the scene layout information includes:

[0225] Determine the operating trend information of the target air conditioner based on the predicted operating effect;

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

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

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

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

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

[0231] Acquire furniture information of each piece of furniture included in the current scene, where the furniture information includes one or more of furniture size information, furniture shape information, furniture usage information, and furniture appearance information of the furniture;

[0232] According to the furniture information of each piece of furniture, the movable furniture is determined from all the furniture;

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

[0234] For each 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;

[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 a preset matching degree threshold, the movable furniture is determined as the target furniture.

[0236] It can be seen that the implementation Figure 5The described device can obtain furniture information of each piece of furniture included in the current scene, determine movable furniture from all furniture according to the furniture information of each piece of furniture, generate scene layout requirement information of the current scene based on operation trend information and scene layout information, 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 a preset matching degree threshold, and if so, determine the movable furniture as the target furniture. The movable furniture can be determined based on the furniture information, which is conducive to improving the accuracy and reliability of determining the movable furniture, and is also conducive to improving 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 it is conducive to improving the intelligence and efficiency of determining the target furniture, which is conducive to improving the subsequent generation of furniture adjustment information and improving the accuracy and intelligence of layout adjustment information.

[0237] In yet another optional embodiment, Figure 5 As shown, the specific manner in which the generating module 305 determines the furniture adjustment information of each target furniture according to the operation trend information and the scene layout information includes:

[0238] For each target furniture, determine the furniture influencing factor of the target furniture on the operation of the target air conditioner in the current scene according to the operation trend information;

[0239] For each target furniture, determining the optimization adjustment information of the target furniture according to the furniture influencing factors of the target furniture and the scene layout information, where 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, 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 5The described device can determine the furniture influencing factors of each target furniture on the operation of the target air conditioner in the current scene according to the operation trend information, and determine the optimization adjustment information of the target furniture according to the furniture influencing factors of the target furniture and the scene layout information, and generate the furniture adjustment information of the target furniture according to the optimization adjustment information of the target furniture. It can determine the furniture influencing factors of each target furniture in a targeted manner in combination with the operation trend information, which is conducive to improving the accuracy and reliability of the furniture influencing factors of each target furniture, and determine the optimization adjustment information of the target furniture through the furniture influencing factors of each target furniture and the scene layout information, which can improve the adaptability and matching degree between each target furniture and the current scene, which is conducive to improving the accuracy and reliability of determining the optimization adjustment information of each target furniture, and then it is conducive to improving the accuracy and reliability of determining the furniture adjustment information of each target furniture, and then it is conducive to improving the accuracy and reliability of subsequently generating layout adjustment information.

[0242] In yet another optional embodiment, Figure 5 As shown, the execution module 306 is further used to 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, after the generation module 305 generates the layout adjustment information of the current scene according to the predicted operation effect and the scene layout information, and before performing a furniture layout adjustment operation matching the layout adjustment information on the target furniture in the current scene according to the layout adjustment information, to obtain a layout simulation result, wherein the layout simulation result includes layout information after the current scene performs layout adjustment on all target furniture based on the layout adjustment information;

[0243] The judging module 303 is further used to judge whether the layout simulation result meets the preset layout requirement conditions; when it is judged that the layout simulation result meets the preset layout requirement conditions, the execution module 306 is triggered to execute the furniture layout adjustment operation matching the layout adjustment information on the target furniture in the current scene according to the layout adjustment information;

[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 requirement condition when the judgment module 303 judges that the layout simulation result does not meet the preset layout requirement condition;

[0245] The device also includes:

[0246] The update module 308 is used to update the layout adjustment information based on the target layout reason, and re-trigger the execution module 306 to execute 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 operation of the layout simulation result and trigger the judgment module 303 to execute the step of judging whether the layout simulation result meets the preset layout requirement conditions.

[0247] It can be seen that implementation Figure 5 The described device can perform layout adjustment simulation operations 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, and judge whether the layout simulation result meets the preset layout requirement conditions. If so, a matching layout adjustment operation is performed on the target furniture in the current scene; if not, the target layout reason why the layout simulation result does not meet the layout requirement conditions is analyzed, and the layout adjustment information is updated based on the target layout reason, and the layout adjustment simulation operation is re-performed on the current scene to obtain a layout simulation result and judge whether the layout simulation result meets the preset layout requirement conditions. The device can perform layout adjustment simulation operations on the current scene to obtain a layout simulation result, which is beneficial to improving the accuracy and reliability of simulating the current scene, as well as improving the intelligence and efficiency of simulating the current scene, and based on judging whether the layout simulation result meets the preset layout requirement conditions, the corresponding operation is performed, which is beneficial to improving the intelligence and efficiency of subsequent execution of matching furniture layout adjustment operations on the target furniture according to the layout adjustment information, as well as improving the accuracy and reliability of subsequent execution of matching furniture layout adjustment operations on the target furniture according to the layout adjustment information.

[0248] Embodiment 4

[0249] See also Figure 6 , Figure 6 1 is a schematic diagram of the structure of another device for intelligently adjusting the environment layout applied to an air conditioning installation scene disclosed in an embodiment of the present invention. Figure 6 As shown, the environment layout intelligent adjustment device applied to the air conditioning installation scene may include:

[0250] A memory 401 storing executable program codes;

[0251] a processor 402 coupled to the memory 401;

[0252] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the method for intelligently adjusting the environment layout applied to the air-conditioning installation scene described in the first embodiment of the present invention or the second embodiment of the present invention.

[0253] Embodiment 5

[0254] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps of the intelligent adjustment method of environmental layout applied to air conditioning installation scenarios described in Embodiment 1 or Embodiment 2 of the present invention.

[0255] Embodiment 6

[0256] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the method for intelligently adjusting the environmental layout applied to an air-conditioning installation scenario described in Embodiment 1 or Embodiment 2.

[0257] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0258] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0259] Finally, it should be noted that the method and device for intelligently adjusting the environmental layout applied to the air-conditioning installation scene disclosed in the embodiment of the present invention discloses only the preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that it is still possible to modify the technical solutions recorded in the aforementioned embodiments, or to replace some of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An intelligent adjustment method for environment layout applied to air conditioning installation scene, characterized in that: The method comprises: Obtaining installation location information of a target air conditioner, and obtaining scene layout information of a current scene corresponding to the target air conditioner; Analyzing layout matching parameters between the installation location information and the scene layout information; Determining whether the layout matching parameters meet preset air conditioning operating conditions; When it is determined that the layout matching parameters do not meet the preset air-conditioning operation conditions, predicting the predicted operation effect of the target air-conditioning in the current scene; According to the predicted operation effect and the scene layout information, the layout adjustment information of the current scene is generated, and according to the layout adjustment information, a furniture layout adjustment operation matching the layout adjustment information is performed on the target furniture in the current scene.

2. The method for intelligently adjusting the environment layout applied to the air conditioning installation scene according to claim 1 is characterized in that: Before predicting the predicted operating effect of the target air conditioner in the current scene, the method further includes: Determine, according to the installation location information of the target air conditioner and the scene layout information, the operation influencing factors of the target air conditioner in the current scene, wherein the operation influencing factors include one or more of the air supply range influencing factors, air flow supply trajectory influencing factors, and air conditioner operation power influencing factors of the target air conditioner in the current scene; The predicting the predicted operating effect of the target air conditioner in the current scene includes: Based on all the operation influencing factors, the predicted operation effect of the target air conditioner in the current scene is predicted.

3. The method for intelligently adjusting the environment layout applied to the air conditioning installation scene according to claim 2 is characterized in that: After obtaining the installation location 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 includes: Determine device location information of each smart device in the current scene according to the scene layout information; For each of the smart devices, generating a device impact parameter of the smart device according to the device location information of the smart device and the installation location information, wherein the device impact parameter includes an impact factor of the smart device on the target air conditioner in the current scene; Generate a device impact parameter set based on the device impact parameters of all the smart devices; The predicting of the predicted operating effect of the target air conditioner in the current scene based on all the operating influencing factors includes: Based on all the operation influencing parameters and the set of equipment influencing parameters, a predicted operation effect of the target air conditioner in the current scene is predicted.

4. The method for intelligently adjusting the environment layout applied to the air-conditioning installation scene according to any one of claims 1 to 3, characterized in that: The generating the layout adjustment information of the current scene according to the predicted operation effect and the scene layout information includes: Determining the operation trend information of the target air conditioner according to the predicted operation effect; Based on the operation trend information and the scene layout information, determining at least one target furniture from all the furniture included in the current scene; For each of the target furniture, determining furniture adjustment information of the target furniture according to the operation 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.

5. The method for intelligently adjusting the environment layout applied to the air conditioning installation scene according to claim 4 is characterized in that: The step of determining at least one target furniture from all furniture included in the current scene based on the operation trend information and the scene layout information comprises: Acquire furniture information of each piece of furniture included in the current scene, wherein the furniture information includes one or more of furniture size information, furniture shape information, furniture usage information, and furniture appearance information of the furniture; Determine movable furniture from all the furniture according to the furniture information of each of the furniture; For each movable furniture, calculating the 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; 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 the target furniture.

6. The method for intelligently adjusting the environment layout applied to the air conditioning installation scene according to claim 5 is characterized in that: For each of the target furniture, determining the furniture adjustment information of the target furniture according to the operation trend information and the scene layout information includes: For each of the target furniture, determining, according to the operation trend information, a furniture influence factor of the target furniture on the operation of the target air conditioner in the current scene; For each of the target furniture, determining the optimization adjustment information of the target furniture according to the furniture influencing factors of the target furniture and the scene layout information, wherein the optimization adjustment information includes one or more of the adjustment position information and the adjustment direction information of the target furniture; For each of the target furniture, furniture adjustment information of the target furniture is generated according to the optimization adjustment information of the target furniture.

7. The method for intelligently adjusting the environment layout applied to the air conditioning installation scene according to claim 4 is characterized in that: After generating the layout adjustment information of the current scene according to the predicted operation effect and the scene layout information, and before performing the furniture layout adjustment operation matching the layout adjustment information on the target furniture in the current scene according to the layout adjustment information, the method further includes: According to 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, wherein the layout simulation result includes layout information of the current scene after the layout adjustment is performed on all the target furniture based on the layout adjustment information; Determining whether the layout simulation result meets the preset layout requirement conditions; 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 matching the layout adjustment information on the target furniture in the current scene according to the layout adjustment information; When it is determined that the layout simulation result does not meet the preset layout requirement conditions, the target layout reason why the layout simulation result does not meet the preset layout requirement conditions is analyzed, and the layout adjustment information is updated based on the target layout reason, and the steps of performing 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, obtaining the layout simulation result and triggering the execution of the step of determining whether the layout simulation result meets the preset layout requirement conditions are triggered.

8. An intelligent adjustment device for environment layout applied to air conditioning installation scene, characterized in that: The device comprises: An acquisition module, used to acquire installation location information of a target air conditioner, and to acquire scene layout information of a current scene corresponding to the target air conditioner; An analysis module, used for analyzing layout matching parameters between the installation location information and the scene layout information; A judgment module, used to judge whether the layout matching parameters meet the preset air-conditioning operation conditions; A prediction module, configured to predict the predicted operation effect of the target air conditioner in the current scene when the judgment module determines that the layout matching parameter does not meet the preset air conditioner operation condition; A generation module, used to generate layout adjustment information of the current scene according to the predicted operation effect and the scene layout information; An execution module is used to perform a furniture layout adjustment operation matching the layout adjustment information on the target furniture in the current scene according to the layout adjustment information.

9. An intelligent adjustment device for environment layout applied to air conditioning installation scene, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent adjustment method of environmental layout applied to air conditioning installation scenarios as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, which, when called, are used to execute the intelligent adjustment method for environmental layout applied to air conditioning installation scenarios as described in any one of claims 1-7.

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