Air conditioner intelligent control method and device based on temperature field distribution condition

Abstract

The invention relates to the technical field of smart home, and discloses an air conditioner intelligent control method and device based on the temperature field distribution condition, and the method comprises the steps that temperature field distribution information of a space scene corresponding to a target air conditioner and space layout information corresponding to the space scene are determined; according to the temperature field distribution information and the spatial layout information, analyzing a target comfortable area of the target object in the spatial scene; according to the target comfortable area, a comfortable power-saving cooling capacity control scheme of the space scene is generated; and according to the comfortable power-saving cooling capacity control scheme, cooling capacity control parameters of the target air conditioner are generated, and the cooling capacity control parameters are used for controlling the target air conditioner to execute cooling capacity reaching operation on the target comfortable area. Therefore, the control accuracy and the intelligent degree of the air conditioner can be improved, the cooling capacity of the air conditioner can accurately reach the air conditioner use comfort area of the target object, on the basis, the energy-saving degree of the air conditioner can be improved, and the service life of the air conditioner can be prolonged.

Description

Technical Field

[0001] The present invention relates to the field of smart home technology, and in particular to an intelligent air-conditioning control method and device based on temperature field distribution conditions. Background Art

[0002] With the continuous development of the economy and society, more and more families have installed air conditioners to make family life more comfortable.

[0003] At present, most air-conditioning control systems use a simple temperature setting and feedback mechanism, that is, the user sets a target temperature, the system detects the indoor temperature through a temperature sensor, and adjusts the cooling or heating capacity accordingly to achieve the set temperature. However, practice has found that this method will cause uneven indoor temperatures, affecting the user's air-conditioning experience.

[0004] It can be seen that how to improve the accuracy and intelligence of air-conditioning control is particularly important. Summary of the invention

[0005] The present invention provides an intelligent air-conditioning control method and device based on temperature field distribution conditions, which can improve the accuracy and intelligence of air-conditioning control.

[0006] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent air conditioning control method based on temperature field distribution conditions, the method comprising:

[0007] Determine temperature field distribution information of a space scene corresponding to a target air conditioner and space layout information corresponding to the space scene;

[0008] Analyzing a target comfort zone of a target object in the spatial scene according to the temperature field distribution information and the spatial layout information;

[0009] Generating a comfortable and energy-saving cooling capacity control scheme for the space scene according to the target comfort zone;

[0010] According to the comfortable and power-saving cooling capacity control scheme, cooling capacity control parameters of the target air conditioner are generated, and the cooling capacity control parameters are used to control the target air conditioner to perform a cooling capacity reaching operation on the target comfort zone.

[0011] As an optional implementation manner, in the first aspect of the present invention, analyzing the target comfort area of ​​the target object in the spatial scene according to the temperature field distribution information and the spatial layout information includes:

[0012] Analyzing the activity range information of the target object in the spatial scene according to the temperature field distribution information and the spatial layout information;

[0013] Determining object position information of the target object according to the activity range information;

[0014] Analyzing the object temperature field distribution information within a first preset range of the target object according to the object position information and the temperature field distribution information, wherein the object temperature field distribution information is used to represent the temperature distribution within the first preset range of the target object;

[0015] Analyzing a temperature control boundary area of ​​the target object according to the temperature field distribution information of the object, wherein the temperature control boundary area is within a second preset range of the target object;

[0016] The target comfort zone of the target object in the spatial scene is analyzed according to the temperature control boundary zone, and the temperature control boundary zone thermally acts on the target comfort zone.

[0017] As an optional implementation manner, in the first aspect of the present invention, analyzing the temperature control boundary area of ​​the target object according to the temperature field distribution information of the object includes:

[0018] Analyzing type information of the target object according to the temperature field distribution information of the object;

[0019] Analyzing the comfortable temperature range information of the target object according to the type information;

[0020] Generate a simulation control parameter of the target air conditioner according to the object temperature field distribution information and the comfort temperature range information, wherein the simulation control parameter is used to simulate controlling the target air conditioner to perform a first simulation temperature control operation on the target object so that the object temperature field distribution information matches the comfort temperature range information;

[0021] The temperature control boundary area of ​​the target object is analyzed according to the simulation control parameters.

[0022] As an optional implementation, in the first aspect of the present invention, generating the simulation control parameters of the target air conditioner according to the object temperature field distribution information and the comfort temperature range information includes:

[0023] Determining at least two target temperature information in the comfort temperature range information;

[0024] For each of the target temperature information, generating a simulation control sub-parameter of the target air conditioner according to the target temperature information and the object temperature field distribution information, wherein the simulation control sub-parameter is used to simulate controlling the target air conditioner to perform a second simulated temperature control operation on the target object so that the object temperature field distribution information matches the target temperature information;

[0025] Analyzing the comprehensive simulated temperature control effects of all the second simulated temperature control operations of the target air conditioner according to all the simulated control sub-parameters;

[0026] According to the comprehensive simulated temperature control effect, all the simulated control sub-parameters are adjusted to obtain the simulated control parameters of the target air conditioner;

[0027] And, adjusting all the simulation control sub-parameters according to the comprehensive simulation temperature control effect to obtain the simulation control parameters of the target air conditioner includes:

[0028] According to the comprehensive simulated temperature control effect, it is determined whether there is a redundant control sub-parameter among all the simulated control sub-parameters, and when it is determined that there is a redundant control sub-parameter among all the simulated control sub-parameters, the simulated control parameter of the target air conditioner is generated according to all the simulated control sub-parameters and the redundant control sub-parameters;

[0029] When it is determined that the redundant control sub-parameter does not exist in all the simulated control sub-parameters, the simulated control parameters of the target air conditioner are generated according to all the simulated control sub-parameters.

[0030] As an optional implementation, in the first aspect of the present invention, the spatial layout information includes at least one of spatial light source information, spatial object distribution information, spatial material distribution information, and spatial sound field distribution information, and the analyzing the temperature control boundary area of ​​the target object according to the simulation control parameter includes:

[0031] Analyzing at least one air action surface in the space scene according to the space layout information, the air action surface comprising at least one of an air convection surface, a heat transfer surface, and a heat radiation surface;

[0032] Analyzing at least one optimization item of the simulated control parameter according to the simulated control parameter and all the air action surfaces, the optimization item being used to represent an adjustment item of the target air conditioner based on the simulated control parameter of the air action surface, the adjustment item comprising at least one of a control distance, a control wind speed, a control direction, and a control frequency;

[0033] According to the optimization item, a temperature control boundary area of ​​the target object is analyzed.

[0034] As an optional implementation, in the first aspect of the present invention, generating the comfortable power-saving cooling capacity control scheme of the space scene according to the target comfort zone includes:

[0035] Determine whether the target air conditioner satisfies the directional control condition corresponding to the target comfort zone, the directional control condition is used to indicate that the target air conditioner directly acts on the target comfort zone, and when it is determined that the target air conditioner satisfies the fixed-point control condition corresponding to the target comfort zone, generate a comfortable power-saving cooling capacity control scheme for the space scene according to the target comfort zone;

[0036] When it is determined that the target air conditioner does not satisfy the fixed-point control condition corresponding to the target comfort zone, a comfortable and energy-saving cooling capacity control scheme for the space scene is generated according to the temperature control boundary area.

[0037] As an optional implementation, in the first aspect of the present invention, before generating the cooling capacity control parameter of the target air conditioner according to the comfortable power-saving cooling capacity control scheme, the method further includes:

[0038] Analyzing the control efficiency information of the target air conditioner according to the comfortable and energy-saving cooling capacity control scheme;

[0039] Determining whether the control efficiency information matches the preset control efficiency range information, and when it is determined that the control efficiency information matches the preset control efficiency range information, triggering the execution of the operation of generating the cooling capacity control parameters of the target air conditioner according to the comfortable power-saving cooling capacity control scheme;

[0040] And, the method further comprises:

[0041] When it is determined that the control efficiency information does not match the preset control efficiency range information, the target distance value between the control efficiency information and the preset control efficiency range information is calculated; according to the target distance value, at least one target item of the comfortable and power-saving cooling control scheme is adjusted, and the target item is used to adapt the control efficiency information corresponding to the comfortable and power-saving cooling control scheme to match the preset control efficiency range information; according to the adjusted comfortable and power-saving cooling control scheme, the cooling control parameters of the target air conditioner are generated.

[0042] The second aspect of the present invention discloses an intelligent air-conditioning control device based on temperature field distribution, the device comprising:

[0043] A determination module, used to determine the temperature field distribution information of the space scene corresponding to the target air conditioner and the space layout information corresponding to the space scene;

[0044] An analysis module, configured to analyze a target comfort zone of a target object in the spatial scene according to the temperature field distribution information and the spatial layout information;

[0045] A generation module, used to generate a comfortable and energy-saving cooling capacity control scheme for the space scene according to the target comfort zone;

[0046] The generation module is also used to generate cooling control parameters of the target air conditioner according to the comfortable and power-saving cooling control scheme, and the cooling control parameters are used to control the target air conditioner to perform a cooling touch-down operation on the target comfort area.

[0047] As an optional implementation, in the second aspect of the present invention, the specific manner in which the analysis module analyzes the target comfort area of ​​the target object in the spatial scene according to the temperature field distribution information and the spatial layout information includes:

[0048] Analyzing the activity range information of the target object in the spatial scene according to the temperature field distribution information and the spatial layout information;

[0049] Determining object position information of the target object according to the activity range information;

[0050] Analyzing the object temperature field distribution information within a first preset range of the target object according to the object position information and the temperature field distribution information, wherein the object temperature field distribution information is used to represent the temperature distribution within the first preset range of the target object;

[0051] Analyzing a temperature control boundary area of ​​the target object according to the temperature field distribution information of the object, wherein the temperature control boundary area is within a second preset range of the target object;

[0052] The target comfort zone of the target object in the spatial scene is analyzed according to the temperature control boundary zone, and the temperature control boundary zone thermally acts on the target comfort zone.

[0053] As an optional implementation, in the second aspect of the present invention, the specific manner in which the analysis module analyzes the temperature control boundary area of ​​the target object according to the temperature field distribution information of the object includes:

[0054] Analyzing type information of the target object according to the temperature field distribution information of the object;

[0055] Analyzing the comfortable temperature range information of the target object according to the type information;

[0056] Generate a simulation control parameter of the target air conditioner according to the object temperature field distribution information and the comfort temperature range information, wherein the simulation control parameter is used to simulate controlling the target air conditioner to perform a first simulation temperature control operation on the target object so that the object temperature field distribution information matches the comfort temperature range information;

[0057] The temperature control boundary area of ​​the target object is analyzed according to the simulation control parameters.

[0058] As an optional implementation, in the second aspect of the present invention, the specific manner in which the analysis module generates the simulation control parameters of the target air conditioner according to the object temperature field distribution information and the comfort temperature range information includes:

[0059] Determining at least two target temperature information in the comfort temperature range information;

[0060] For each of the target temperature information, generating a simulation control sub-parameter of the target air conditioner according to the target temperature information and the object temperature field distribution information, wherein the simulation control sub-parameter is used to simulate controlling the target air conditioner to perform a second simulated temperature control operation on the target object so that the object temperature field distribution information matches the target temperature information;

[0061] Analyzing the comprehensive simulated temperature control effects of all the second simulated temperature control operations of the target air conditioner according to all the simulated control sub-parameters;

[0062] According to the comprehensive simulated temperature control effect, all the simulated control sub-parameters are adjusted to obtain the simulated control parameters of the target air conditioner;

[0063] Furthermore, the specific manner in which the analysis module adjusts all the simulation control sub-parameters according to the comprehensive simulation temperature control effect to obtain the simulation control parameters of the target air conditioner includes:

[0064] According to the comprehensive simulated temperature control effect, it is determined whether there is a redundant control sub-parameter among all the simulated control sub-parameters, and when it is determined that there is a redundant control sub-parameter among all the simulated control sub-parameters, the simulated control parameter of the target air conditioner is generated according to all the simulated control sub-parameters and the redundant control sub-parameters;

[0065] When it is determined that the redundant control sub-parameter does not exist in all the simulated control sub-parameters, the simulated control parameters of the target air conditioner are generated according to all the simulated control sub-parameters.

[0066] As an optional implementation, in the second aspect of the present invention, the spatial layout information includes at least one of spatial light source information, spatial object distribution information, spatial material distribution information, and spatial sound field distribution information, and the specific manner in which the analysis module analyzes the temperature control boundary area of ​​the target object according to the simulation control parameter includes:

[0067] Analyzing at least one air action surface in the space scene according to the space layout information, the air action surface comprising at least one of an air convection surface, a heat transfer surface, and a heat radiation surface;

[0068] Analyzing at least one optimization item of the simulated control parameter according to the simulated control parameter and all the air action surfaces, the optimization item being used to represent an adjustment item of the target air conditioner based on the simulated control parameter of the air action surface, the adjustment item comprising at least one of a control distance, a control wind speed, a control direction, and a control frequency;

[0069] According to the optimization item, a temperature control boundary area of ​​the target object is analyzed.

[0070] As an optional implementation, in the second aspect of the present invention, the specific manner in which the generating module generates the comfortable power-saving cooling capacity control scheme of the space scene according to the target comfort zone includes:

[0071] Determine whether the target air conditioner satisfies the directional control condition corresponding to the target comfort zone, the directional control condition is used to indicate that the target air conditioner directly acts on the target comfort zone, and when it is determined that the target air conditioner satisfies the fixed-point control condition corresponding to the target comfort zone, generate a comfortable power-saving cooling capacity control scheme for the space scene according to the target comfort zone;

[0072] When it is determined that the target air conditioner does not satisfy the fixed-point control condition corresponding to the target comfort zone, a comfortable and energy-saving cooling capacity control scheme for the space scene is generated according to the temperature control boundary area.

[0073] As an optional implementation, in the second aspect of the present invention, the analysis module is further used to analyze the control efficiency information of the target air conditioner according to the comfort and power-saving cooling capacity control scheme before the generation module generates the cooling capacity control parameters of the target air conditioner according to the comfort and power-saving cooling capacity control scheme;

[0074] And, the device further comprises:

[0075] a judgment module, used for judging whether the control efficiency information matches the preset control efficiency range information, and when it is judged that the control efficiency information matches the preset control efficiency range information, triggering the generation module to execute the operation of generating the cooling capacity control parameters of the target air conditioner according to the comfortable power-saving cooling capacity control scheme;

[0076] a calculation module, configured to calculate a target distance value between the control efficiency information and the preset control efficiency range information when the judgment module determines that the control efficiency information does not match the preset control efficiency range information;

[0077] An adjustment module, used for adjusting at least one target item of the comfort and power-saving cooling capacity control scheme according to the target distance value, wherein the target item is used for adapting the control efficiency information corresponding to the comfort and power-saving cooling capacity control scheme to match the preset control efficiency range information;

[0078] The generating module is further used to generate cooling capacity control parameters of the target air conditioner according to the adjusted comfortable and power-saving cooling capacity control scheme.

[0079] The third aspect of the present invention discloses another intelligent air-conditioning control device based on temperature field distribution, the device comprising:

[0080] A memory storing executable program code;

[0081] a processor coupled to the memory;

[0082] The processor calls the executable program code stored in the memory to execute the intelligent air-conditioning control method based on the temperature field distribution status disclosed in the first aspect of the present invention.

[0083] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the intelligent air-conditioning control method based on temperature field distribution conditions disclosed in the first aspect of the present invention.

[0084] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0085] In an embodiment of the present invention, the temperature field distribution information of the space scene corresponding to the target air conditioner and the spatial layout information corresponding to the space scene are determined; the target comfort area of ​​the target object in the space scene is analyzed according to the temperature field distribution information and the spatial layout information; according to the target comfort area, a comfortable and power-saving cooling control scheme of the space scene is generated; according to the comfortable and power-saving cooling control scheme, a cooling control parameter of the target air conditioner is generated, and the cooling control parameter is used to control the target air conditioner to perform a cooling touch operation on the target comfort area. It can be seen that the implementation of the present invention can analyze the target comfort area of ​​the target object in the space scene according to the temperature field distribution information of the space scene corresponding to the determined target air conditioner and the spatial layout information corresponding to the space scene, thereby generating a comfortable and power-saving cooling control scheme for the space scene based on the target comfort area, and then generating a cooling control parameter for controlling the target air conditioner to perform a cooling touch operation on the target comfort area according to the comfortable and power-saving cooling control scheme, thereby improving the accuracy and intelligence of air conditioning control, so that the cooling of the air conditioner can accurately touch the air conditioning use comfort zone of the target object, and on this basis, it is also conducive to further realizing the energy-saving use of the air conditioner and extending the service life of the air conditioner. BRIEF DESCRIPTION OF THE DRAWINGS

[0086] 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.

[0087] Figure 1 It is a scene schematic diagram of an air-conditioning intelligent control scene based on temperature field distribution conditions disclosed in an embodiment of the present invention;

[0088] Figure 2 It is a flow chart of an intelligent air-conditioning control method based on temperature field distribution conditions disclosed in an embodiment of the present invention;

[0089] Figure 3 It is a flow chart of another intelligent air-conditioning control method based on temperature field distribution conditions disclosed in an embodiment of the present invention;

[0090] Figure 4 It is a structural schematic diagram of an intelligent air-conditioning control device based on temperature field distribution conditions disclosed in an embodiment of the present invention;

[0091] Figure 5 It is a structural schematic diagram of another intelligent air-conditioning control device based on temperature field distribution conditions disclosed in an embodiment of the present invention;

[0092] Figure 6 It is a structural schematic diagram of another intelligent air-conditioning control device based on temperature field distribution conditions disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0093] 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.

[0094] 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.

[0095] 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.

[0096] The present invention discloses an intelligent air conditioning control method and device based on temperature field distribution conditions, which can analyze the target comfort zone of the target object in the spatial scene according to the determined temperature field distribution information of the target air conditioning corresponding to the spatial scene and the spatial layout information corresponding to the spatial scene, thereby generating a comfortable and energy-saving cooling control scheme for the spatial scene based on the target comfort zone, and then generating cooling control parameters for controlling the target air conditioning to perform cooling touch operation on the target comfort zone according to the comfortable and energy-saving cooling control scheme, thereby improving the accuracy and intelligence of air conditioning control, so that the cooling of the air conditioning can accurately touch the air conditioning use comfort zone of the target object, and on this basis, it is also conducive to further realizing the energy-saving use of the air conditioning and extending the service life of the air conditioning. The following are detailed descriptions.

[0097] In order to better understand the air conditioning intelligent control method and device based on temperature field distribution described in the present invention, firstly, a scenario to which the air conditioning intelligent control method based on temperature field distribution is applicable is described. Specifically, the scenario schematic diagram can be as follows: Figure 1 As shown, the scene includes a target space (such as a house) divided into three areas, a smart air conditioner, and a user / target, wherein the target space includes the user's first space (area B) and a second space associated with the first space (area A, area C). Optionally, the first space and the second space can represent different target scenes respectively. The user / target can perform different activities in the first space and the second space to present different target scenes. The target scene can include at least one of a user reading scene, a user sleeping scene, a user cooking scene, a user exercising scene, and a user washing scene. Optionally, as Figure 1 As shown, the intelligent air conditioner can analyze the target comfort area of ​​the target object in the spatial scene according to the temperature field distribution information of the spatial scene corresponding to the determined target air conditioner and the spatial layout information corresponding to the spatial scene, thereby generating a comfortable and energy-saving cooling control scheme for the spatial scene based on the target comfort area, and then generating cooling control parameters for controlling the target air conditioner to perform cooling touch operation on the target comfort area according to the comfortable and energy-saving cooling control scheme. The above-mentioned target air conditioner is defined as follows Figure 1The smart air conditioner shown in the figure, however, in actual application, the smart air conditioner can be in the first space where the user is located, or in the second space. It should be noted that Figure 1 The scene diagram shown is only for showing a scene applicable to an intelligent air-conditioning control method based on temperature field distribution. The target space (such as a house), intelligent air-conditioning, user / target, etc. involved are only for schematic display. Figure 1 The scene diagram shown does not limit this. A method and device for intelligently controlling an air conditioner based on temperature field distribution conditions are described in detail below.

[0098] Embodiment 1

[0099] See also Figure 2 , Figure 2 1 is a flow chart of an intelligent air conditioning control method based on temperature field distribution disclosed in an embodiment of the present invention. Figure 2 The described air conditioning intelligent control method based on temperature field distribution can be applied to smart home devices, such as smart air conditioners, and can also be applied to other smart devices related to smart home devices, including but not limited to one or more of cloud devices, edge computing devices, relay devices, base station devices, city management devices, and smart network devices, which are not limited in the embodiments of the present invention. Figure 2 As shown, the air conditioning intelligent control method based on the temperature field distribution condition may include the following operations:

[0100] 101. Determine temperature field distribution information of a space scene corresponding to the target air conditioner and space layout information corresponding to the space scene;

[0101] In an embodiment of the present invention, optionally, the target air conditioner can be determined by the air conditioner identification of the target air conditioner, or by the associated identification of the target air conditioner, such as the space identification where the target air conditioner is located, the object identification to which it belongs, the age identification, etc.; further optionally, the identification can be in one or more forms such as characters, voices, images, and codes.

[0102] Further optionally, the above-mentioned temperature field distribution information and spatial layout information can also be further determined in combination with the above-mentioned identification. Further optionally, it can also be obtained by uploading by the user. Further optionally, it can also be obtained by perception through a sensing device. The above-mentioned sensing device includes but is not limited to one or more of radars, base stations, routers, mobile portable communication devices, wearable devices with communication functions, etc. Further optionally, specifically, the above-mentioned sensing device may include a wireless communication module, such as a Wifi module, and the above-mentioned step 101 operation is implemented through the Wifi module. Further optionally, specifically, the above-mentioned sensing device may include a voice perception module to achieve voice interaction with the user and identify voice commands triggered by the user. The above-mentioned sensing device can perceive the above-mentioned state range information based on the communication perception fusion frame structure.

[0103] Further optionally, the above-mentioned target air conditioner may include a wireless communication module, such as a Wifi module, which is used to establish a wireless communication link between the target air conditioner and the above-mentioned sensing device and / or other smart home devices. The wireless communication link can realize wireless interactive communication of conventional information and control instructions between the target air conditioner and the above-mentioned sensing device and / or other smart home devices. For example, when a user uses a portable device to connect to the wireless communication module, an instruction can be issued to the target air conditioner, and the target air conditioner can parse the instruction through the wireless communication module, thereby triggering the execution of the above-mentioned step 101.

[0104] Further optionally, the above-mentioned target air conditioner may also include a voice perception module, which is used to realize voice interaction between the target air conditioner and the user. For example, when the user sends a voice message, the target air conditioner can obtain and parse the user's voice information through the voice perception module, thereby triggering the execution of the above-mentioned step 101.

[0105] 102. Analyze the target comfort zone of the target object in the spatial scene according to the temperature field distribution information and the spatial layout information;

[0106] In an embodiment of the present invention, as an optional implementation manner, the above-mentioned analyzing the target comfort area of ​​the target object in the spatial scene according to the temperature field distribution information and the spatial layout information includes:

[0107] Analyze the activity range information of the target object in the space scene according to the temperature field distribution information and spatial layout information;

[0108] Determine object position information of the target object according to the activity range information;

[0109] Analyzing the object temperature field distribution information within a first preset range of the target object according to the object position information and the temperature field distribution information, wherein the object temperature field distribution information is used to represent the temperature distribution within the first preset range of the target object;

[0110] Analyzing a temperature control boundary region of the target object according to the temperature field distribution information of the object, wherein the temperature control boundary region is within a second preset range of the target object;

[0111] According to the temperature control boundary area, the target comfort area of ​​the target object in the space scene is analyzed, and the heat of the temperature control boundary area acts on the target comfort area.

[0112] In this optional embodiment, the above-mentioned thermal effect is not limited to transferring heat, but also includes transferring cold.

[0113] It can be seen that the implementation of this optional embodiment can analyze the activity range information of the target object in the spatial scene based on the above-mentioned temperature field distribution information and spatial layout information, and then determine the object position information of the target object based on the activity range information. After obtaining the object position information of the target object, combined with the above-mentioned temperature field distribution information, the object temperature field distribution information within the first preset range of the target object can be analyzed, and the target comfort area of ​​the target object in the spatial scene can be obtained by further analyzing the temperature control boundary area of ​​the target object. The accuracy, scientificity and feasibility of the analysis of the target comfort area can be improved, which is beneficial to improving the accuracy and intelligence of air-conditioning control, and is beneficial to improving the energy saving level of air-conditioning control.

[0114] In this optional embodiment, as an optional implementation manner, the above-mentioned analyzing the temperature control boundary area of ​​the target object according to the object temperature field distribution information includes:

[0115] Analyze the type information of the target object according to the temperature field distribution information of the object;

[0116] Analyze the comfortable temperature range information of the target object according to the type information;

[0117] Generate a simulation control parameter of the target air conditioner according to the object temperature field distribution information and the comfort temperature range information, the simulation control parameter being used to simulate controlling the target air conditioner to perform a first simulation temperature control operation on the target object so that the object temperature field distribution information matches the comfort temperature range information;

[0118] According to the simulated control parameters, the temperature control boundary area of ​​the target object is analyzed.

[0119] In this optional embodiment, optionally, the above-mentioned temperature control boundary area can be specifically used to refer to a critical area of ​​action for the air conditioner to adapt to the comfort temperature range information corresponding to the target object, that is, the critical area of ​​action for the air outlet of the air conditioner. This area can be understood as between the air conditioner and the target object. Through the above-mentioned critical area of ​​action, the cold / heat can be further transferred to the target object, thereby creating a target comfort area for the target object that is adapted to the comfort temperature range information of the target object. Further optionally, this part can take into account the influencing effect in the spatial layout, which is specifically explained in the following optional embodiments.

[0120] It can be seen that the implementation of this optional embodiment can further analyze the type information of the target object based on the analyzed object temperature field distribution information of the target object, and then match the comfort temperature range information of the target object. By combining the above-mentioned object temperature field distribution information, it is possible to generate simulation control parameters of the target air conditioner for simulating the control of the target air conditioner to perform a first simulated temperature control operation on the target object, so that the object temperature field distribution information matches the comfort temperature range information. Then, based on the simulation control parameters, the temperature control boundary area of ​​the target object is analyzed to improve the analysis accuracy of the temperature control boundary area of ​​the target object, which is beneficial to improving the analysis accuracy of the target comfort area of ​​the target object and improving the energy saving level of air-conditioning control.

[0121] In this optional embodiment, as another optional implementation, the above-mentioned generation of simulation control parameters of the target air conditioner according to the object temperature field distribution information and the comfort temperature range information includes:

[0122] determining at least two target temperature information in the comfort temperature range information;

[0123] For each target temperature information, generating a simulation control sub-parameter of the target air conditioner according to the target temperature information and the object temperature field distribution information, the simulation control sub-parameter being used to simulate controlling the target air conditioner to perform a second simulated temperature control operation on the target object so that the object temperature field distribution information matches the target temperature information;

[0124] Analyzing the comprehensive simulated temperature control effects of all second simulated temperature control operations of the target air conditioner according to all simulated control sub-parameters;

[0125] According to the comprehensive simulated temperature control effect, all simulated control sub-parameters are adjusted to obtain the simulated control parameters of the target air conditioner.

[0126] It can be seen that the implementation of this optional embodiment can generate the simulation control parameters of the target air conditioner according to the object temperature field distribution information and the comfort temperature range information, specifically by determining at least two target temperature information in the comfort temperature range information, and for each target temperature information, generate the simulation control sub-parameters of the target air conditioner for simulating the control of the target air conditioner to perform the second simulation temperature control operation on the target object according to the target temperature information and the object temperature field distribution information, so that the object temperature field distribution information matches the target temperature information, and analyze the comprehensive simulation temperature control effect of all the second simulation temperature control operations of the target air conditioner according to all the simulation control sub-parameters, and then adjust all the simulation control sub-parameters according to the comprehensive simulation temperature control effect to obtain the simulation control parameters of the target air conditioner, which can further improve the generation accuracy, scientificity and rigor of the simulation control parameters of the target air conditioner used for simulating the control of the target air conditioner to perform the first simulation temperature control operation on the target object so that the object temperature field distribution information matches the comfort temperature range information, improve the generation granularity of the simulation control parameters, and further improve the analysis accuracy of the temperature control boundary area of ​​the target object, which is beneficial to improving the analysis accuracy of the target comfort area of ​​the target object and improving the energy saving level of air conditioning control.

[0127] Optionally, the above-mentioned adjustment of all simulation control sub-parameters based on the comprehensive simulation temperature control effect to obtain the simulation control parameters of the target air conditioner includes:

[0128] According to the comprehensive simulated temperature control effect, it is judged whether there are redundant control sub-parameters among all the simulated control sub-parameters. When it is judged that there are redundant control sub-parameters among all the simulated control sub-parameters, the simulated control parameters of the target air conditioner are generated according to all the simulated control sub-parameters and the redundant control sub-parameters;

[0129] When it is determined that there are no redundant control sub-parameters among all the simulated control sub-parameters, simulated control parameters of the target air conditioner are generated according to all the simulated control sub-parameters.

[0130] In this optional embodiment, optionally, the above-mentioned redundant control sub-parameter may specifically refer to an analog control sub-parameter whose influence on the above-mentioned comprehensive analog temperature control effect is less than or equal to a preset influence threshold.

[0131] It can be seen that the implementation of this optional embodiment can further determine whether there are redundant control sub-parameters in all the simulated control sub-parameters based on the analyzed comprehensive simulated temperature control effects of all the second simulated temperature control operations of the target air-conditioner, and generate the simulated control parameters of the target air-conditioner based on the judgment results and the redundant control sub-parameters, thereby further improving the accuracy of the generation of the simulated control parameters, while also being beneficial to improving the air-conditioning control efficiency and the energy-saving degree of the air-conditioning control, and being beneficial to improving the sustainability of the air-conditioning control.

[0132] In this optional embodiment, as another optional implementation, the above-mentioned spatial layout information includes at least one of spatial light source information, spatial object distribution information, spatial material distribution information, and spatial sound field distribution information. The above-mentioned analysis of the temperature control boundary area of ​​the target object according to the simulation control parameter includes:

[0133] Analyze at least one air action surface in the space scene according to the space layout information, where the air action surface includes at least one of an air convection surface, a heat transfer surface, and a heat radiation surface;

[0134] Analyze at least one optimization item of the simulated control parameter according to the simulated control parameter and all air action surfaces, the optimization item is used to represent an adjustment item of the simulated control parameter of the target air conditioner based on the air action surface, and the adjustment item includes at least one of a control distance, a control wind speed, a control direction, and a control frequency;

[0135] Analyze the temperature control boundary area of ​​the target object according to the optimization items.

[0136] In this optional embodiment, optionally, at least one of the above-mentioned air convection surface, heat transfer surface, and thermal radiation surface can appear simultaneously in one physical surface, which indicates that the physical surface simultaneously has at least one characteristic of air convection, heat transfer surface, and thermal radiation.

[0137] Further optionally, the method of analyzing the characteristics of the above-mentioned air action surface can be obtained through historical information, or through uploading by the object belonging to the spatial scene, or through testing. The specific testing method may include sending a signal to the air action surface, and the above-mentioned signal may include a wind signal.

[0138] It can be seen that the implementation of this optional embodiment can, in the process of analyzing the temperature control boundary area of ​​the target object according to the simulated control parameters, specifically combine the spatial layout information of the target air conditioner corresponding to the spatial scene, including at least one of the spatial light source information, spatial object distribution information, spatial material distribution information, and spatial sound field distribution information, analyze at least one air action surface in the spatial scene including at least one of the air convection surface, the heat transfer surface, and the heat radiation surface, thereby combining the influence of the air action surface to analyze at least one of the simulated control parameters for representing the optimization item of the adjustment item of the simulated control parameters of the target air conditioner based on the air action surface, and the specific adjustment item may include at least one of the control distance, the control wind speed, the control direction, and the control frequency, and then analyze the temperature control boundary area of ​​the target object according to the optimization item, which can further improve the analysis accuracy of the temperature control boundary area of ​​the target object, and thus help to further improve the analysis accuracy of the target comfort area of ​​the target object, help to improve the accuracy and intelligence of air-conditioning control, and help to improve the energy-saving degree of air-conditioning control.

[0139] 103. Generate a comfortable and energy-saving cooling control plan for the space scene based on the target comfort zone;

[0140] 104. Generate cooling capacity control parameters of the target air conditioner according to the comfortable and energy-saving cooling capacity control scheme, where the cooling capacity control parameters are used to control the target air conditioner to perform cooling capacity reaching operation on the target comfort zone.

[0141] It can be seen that the implementation of the embodiment of the present invention can analyze the target comfort area of ​​the target object in the spatial scene according to the temperature field distribution information of the spatial scene corresponding to the determined target air-conditioner and the spatial layout information corresponding to the spatial scene, thereby generating a comfortable and energy-saving cooling control scheme for the spatial scene based on the target comfort area, and then generating cooling control parameters for controlling the target air-conditioner to perform cooling touch operation on the target comfort area according to the comfortable and energy-saving cooling control scheme, thereby improving the accuracy and intelligence of air-conditioning control, so that the cooling of the air-conditioning can accurately reach the air-conditioning usage comfort zone of the target object, and on this basis, it is also beneficial to further realize the energy-saving use of the air-conditioner and to extend the service life of the air-conditioner.

[0142] Embodiment 2

[0143] See also Figure 3 , Figure 3 is a flow chart of another air conditioning intelligent control method based on temperature field distribution conditions disclosed in an embodiment of the present invention. Figure 3 The described air conditioning intelligent control method based on temperature field distribution can be applied to smart home devices, such as smart air conditioners, and can also be applied to other smart devices related to smart home devices, including but not limited to one or more of cloud devices, edge computing devices, relay devices, base station devices, city management devices, and smart network devices, which are not limited in the embodiments of the present invention. Figure 3 As shown, the air conditioning intelligent control method based on the temperature field distribution condition may include the following operations:

[0144] 201. Determine temperature field distribution information of a space scene corresponding to a target air conditioner and space layout information corresponding to the space scene;

[0145] 202. Analyze the target comfort zone of the target object in the spatial scene according to the temperature field distribution information and the spatial layout information;

[0146] In the embodiment of the present invention, for the supplementary explanation of step 201-step 202, please refer to the supplementary explanation of step 101-step 102 in the first embodiment, and the embodiment of the present invention will not elaborate on this.

[0147] 203. Determine whether the target air conditioner satisfies the directional control condition corresponding to the target comfort zone, where the directional control condition is used to indicate that the target air conditioner directly acts on the target comfort zone; when it is determined that the target air conditioner satisfies the fixed-point control condition corresponding to the target comfort zone, step 204 is triggered; when it is determined that the target air conditioner does not satisfy the fixed-point control condition corresponding to the target comfort zone, step 205 is triggered;

[0148] 204. Generate a comfortable and energy-saving cooling capacity control scheme for the space scene according to the target comfort zone, and trigger execution of step 206;

[0149] 205. Generate a comfortable and energy-saving cooling capacity control scheme for the space scene according to the temperature control boundary area. The temperature control boundary area is obtained according to the above-mentioned temperature field distribution information and space layout information analysis. The temperature control boundary area heat acts on the target comfort area and triggers the execution of step 206.

[0150] 206. Generate cooling capacity control parameters of the target air conditioner according to the comfortable and energy-saving cooling capacity control scheme, where the cooling capacity control parameters are used to control the target air conditioner to perform a cooling capacity reaching operation on the target comfort zone.

[0151] It can be seen that the implementation of the embodiment of the present invention can, after analyzing the target comfort area of ​​the target object in the spatial scene, trigger different operations of generating comfortable and energy-saving cooling control schemes for the spatial scene by judging whether the target air conditioner meets the directional control conditions corresponding to the target comfort area, which are used to indicate that the target air conditioner directly acts on the target comfort area. This can further improve the analysis accuracy of the target comfort area of ​​the target object in the spatial scene, improve the accuracy and intelligence of air-conditioning control, and further highlight the improvement of the energy saving and power saving of air-conditioning control. Specifically, when it is judged that the target air conditioner meets the fixed-point control conditions corresponding to the target comfort area, a comfortable and energy-saving cooling control scheme for the spatial scene is generated according to the target comfort area to achieve the purpose of accurately reaching the cooling capacity of the air conditioner for the target object. Moreover, when it is judged that the target air conditioner does not meet the fixed-point control conditions corresponding to the target comfort area, a comfortable and energy-saving cooling control scheme for the spatial scene is generated according to the temperature control boundary area obtained by analyzing the above-mentioned temperature field distribution information and spatial layout information and in which heat acts on the target comfort area, thereby improving the generation accuracy of the comfortable and energy-saving cooling control scheme of the air conditioner and the energy saving degree of air-conditioning control.

[0152] In the embodiment of the present invention, as an optional implementation, before generating the cooling capacity control parameters of the target air conditioner according to the comfortable and energy-saving cooling capacity control scheme, the method further includes:

[0153] Analyze the control efficiency information of the target air conditioner according to the comfortable and energy-saving cooling capacity control scheme;

[0154] Determine whether the control efficiency information matches the preset control efficiency range information, and when it is determined that the control efficiency information matches the preset control efficiency range information, trigger the operation of generating the cooling control parameters of the target air conditioner according to the comfortable power-saving cooling control scheme;

[0155] Optionally, the method further includes:

[0156] When it is determined that the control efficiency information does not match the preset control efficiency range information, the target distance value between the control efficiency information and the preset control efficiency range information is calculated; according to the target distance value, at least one target item of the comfortable and power-saving cooling capacity control scheme is adjusted, and the target item is used to adapt the control efficiency information corresponding to the comfortable and power-saving cooling capacity control scheme to match the preset control efficiency range information; according to the adjusted comfortable and power-saving cooling capacity control scheme, the cooling capacity control parameters of the target air conditioner are generated.

[0157] It can be seen that the implementation of this optional embodiment can further analyze the control efficiency information of the target air conditioner according to the comfortable and energy-saving cooling capacity control scheme before generating the cooling capacity control parameters of the target air conditioner according to the comfortable and energy-saving cooling capacity control scheme, and when it is determined that the control efficiency information does not match the preset control efficiency range information, by calculating the target distance value between the control efficiency information and the preset control efficiency range information, and according to the target distance value, adjust at least one target item of the comfortable and energy-saving cooling capacity control scheme for adapting the control efficiency information corresponding to the comfortable and energy-saving cooling capacity control scheme to match the preset control efficiency range information, and finally generate the cooling capacity control parameters of the target air conditioner according to the adjusted comfortable and energy-saving cooling capacity control scheme, which can further improve the air-conditioning control efficiency and the user experience on the basis of improving the accuracy of cooling capacity control parameter generation and the energy-saving degree of air-conditioning control, and at the same time, improving the air-conditioning control efficiency itself can further improve the energy-saving degree of air-conditioning control, playing a complementary role.

[0158] Embodiment 3

[0159] See also Figure 4 , Figure 4 It is a structural diagram of an air conditioning intelligent control device based on temperature field distribution conditions disclosed in an embodiment of the present invention. The air conditioning intelligent control device based on temperature field distribution conditions can be applied to smart home devices, such as smart air conditioners, and can also be applied to other smart devices related to smart home devices, including but not limited to cloud devices, edge computing devices, relay devices, base station devices, city management devices, and one or more of smart network devices, which are not limited in the embodiment of the present invention. Figure 4 As shown, the air conditioning intelligent control device based on the temperature field distribution condition may include:

[0160] A determination module 301 is used to determine the temperature field distribution information of the space scene corresponding to the target air conditioner and the space layout information corresponding to the space scene;

[0161] An analysis module 302 is used to analyze a target comfort zone of a target object in a spatial scene according to the temperature field distribution information and the spatial layout information;

[0162] A generation module 303 is used to generate a comfortable and energy-saving cooling capacity control scheme for a space scene according to a target comfort zone;

[0163] The generation module 303 is also used to generate cooling control parameters of the target air conditioner according to the comfortable and power-saving cooling control scheme, and the cooling control parameters are used to control the target air conditioner to perform a cooling touch-down operation on the target comfort area.

[0164] It can be seen that the implementation of the embodiment of the present invention can analyze the target comfort area of ​​the target object in the spatial scene according to the temperature field distribution information of the spatial scene corresponding to the determined target air-conditioner and the spatial layout information corresponding to the spatial scene, thereby generating a comfortable and energy-saving cooling control scheme for the spatial scene based on the target comfort area, and then generating cooling control parameters for controlling the target air-conditioner to perform cooling touch operation on the target comfort area according to the comfortable and energy-saving cooling control scheme, thereby improving the accuracy and intelligence of air-conditioning control, so that the cooling of the air-conditioning can accurately reach the air-conditioning usage comfort zone of the target object, and on this basis, it is also beneficial to further realize the energy-saving use of the air-conditioner and to extend the service life of the air-conditioner.

[0165] In the embodiment of the present invention, as an optional implementation, the specific manner in which the above-mentioned analysis module 302 analyzes the target comfort area of ​​the target object in the spatial scene according to the temperature field distribution information and the spatial layout information includes:

[0166] Analyze the activity range information of the target object in the space scene according to the temperature field distribution information and spatial layout information;

[0167] Determine object position information of the target object according to the activity range information;

[0168] Analyzing the object temperature field distribution information within a first preset range of the target object according to the object position information and the temperature field distribution information, wherein the object temperature field distribution information is used to represent the temperature distribution within the first preset range of the target object;

[0169] Analyzing a temperature control boundary region of the target object according to the temperature field distribution information of the object, wherein the temperature control boundary region is within a second preset range of the target object;

[0170] According to the temperature control boundary area, the target comfort area of ​​the target object in the space scene is analyzed, and the heat of the temperature control boundary area acts on the target comfort area.

[0171] It can be seen that the implementation of this optional embodiment can analyze the activity range information of the target object in the spatial scene based on the above-mentioned temperature field distribution information and spatial layout information, and then determine the object position information of the target object based on the activity range information. After obtaining the object position information of the target object, combined with the above-mentioned temperature field distribution information, the object temperature field distribution information within the first preset range of the target object can be analyzed, and the target comfort area of ​​the target object in the spatial scene can be obtained by further analyzing the temperature control boundary area of ​​the target object. The accuracy, scientificity and feasibility of the analysis of the target comfort area can be improved, which is beneficial to improving the accuracy and intelligence of air-conditioning control, and is beneficial to improving the energy saving level of air-conditioning control.

[0172] In this optional embodiment, as an optional implementation, the specific manner in which the above-mentioned analysis module 302 analyzes the temperature control boundary area of ​​the target object according to the object temperature field distribution information includes:

[0173] Analyze the type information of the target object according to the temperature field distribution information of the object;

[0174] Analyze the comfortable temperature range information of the target object according to the type information;

[0175] Generate a simulation control parameter of the target air conditioner according to the object temperature field distribution information and the comfort temperature range information, the simulation control parameter being used to simulate controlling the target air conditioner to perform a first simulation temperature control operation on the target object so that the object temperature field distribution information matches the comfort temperature range information;

[0176] According to the simulated control parameters, the temperature control boundary area of ​​the target object is analyzed.

[0177] It can be seen that the implementation of this optional embodiment can further analyze the type information of the target object based on the analyzed object temperature field distribution information of the target object, and then match the comfort temperature range information of the target object. By combining the above-mentioned object temperature field distribution information, it is possible to generate simulation control parameters of the target air conditioner for simulating the control of the target air conditioner to perform a first simulated temperature control operation on the target object, so that the object temperature field distribution information matches the comfort temperature range information. Then, based on the simulation control parameters, the temperature control boundary area of ​​the target object is analyzed to improve the analysis accuracy of the temperature control boundary area of ​​the target object, which is beneficial to improving the analysis accuracy of the target comfort area of ​​the target object and improving the energy saving level of air-conditioning control.

[0178] In this optional embodiment, as another optional implementation, the specific manner in which the above-mentioned analysis module 302 generates the simulation control parameters of the target air conditioner according to the object temperature field distribution information and the comfort temperature range information includes:

[0179] determining at least two target temperature information in the comfort temperature range information;

[0180] For each target temperature information, generating a simulation control sub-parameter of the target air conditioner according to the target temperature information and the object temperature field distribution information, the simulation control sub-parameter being used to simulate controlling the target air conditioner to perform a second simulated temperature control operation on the target object so that the object temperature field distribution information matches the target temperature information;

[0181] Analyzing the comprehensive simulated temperature control effects of all second simulated temperature control operations of the target air conditioner according to all simulated control sub-parameters;

[0182] According to the comprehensive simulated temperature control effect, all simulated control sub-parameters are adjusted to obtain the simulated control parameters of the target air conditioner;

[0183] It can be seen that the implementation of this optional embodiment can generate the simulation control parameters of the target air conditioner according to the object temperature field distribution information and the comfort temperature range information, specifically by determining at least two target temperature information in the comfort temperature range information, and for each target temperature information, generate the simulation control sub-parameters of the target air conditioner for simulating the control of the target air conditioner to perform the second simulation temperature control operation on the target object according to the target temperature information and the object temperature field distribution information, so that the object temperature field distribution information matches the target temperature information, and analyze the comprehensive simulation temperature control effect of all the second simulation temperature control operations of the target air conditioner according to all the simulation control sub-parameters, and then adjust all the simulation control sub-parameters according to the comprehensive simulation temperature control effect to obtain the simulation control parameters of the target air conditioner, which can further improve the generation accuracy, scientificity and rigor of the simulation control parameters of the target air conditioner used for simulating the control of the target air conditioner to perform the first simulation temperature control operation on the target object so that the object temperature field distribution information matches the comfort temperature range information, improve the generation granularity of the simulation control parameters, and further improve the analysis accuracy of the temperature control boundary area of ​​the target object, which is beneficial to improving the analysis accuracy of the target comfort area of ​​the target object and improving the energy saving level of air conditioning control.

[0184] Optionally, the above-mentioned analysis module 302 adjusts all the simulation control sub-parameters according to the comprehensive simulation temperature control effect, and obtains the simulation control parameters of the target air conditioner in a specific manner including:

[0185] According to the comprehensive simulated temperature control effect, it is judged whether there are redundant control sub-parameters among all the simulated control sub-parameters. When it is judged that there are redundant control sub-parameters among all the simulated control sub-parameters, the simulated control parameters of the target air conditioner are generated according to all the simulated control sub-parameters and the redundant control sub-parameters;

[0186] When it is determined that there are no redundant control sub-parameters among all the simulated control sub-parameters, simulated control parameters of the target air conditioner are generated according to all the simulated control sub-parameters.

[0187] It can be seen that the implementation of this optional embodiment can further determine whether there are redundant control sub-parameters in all the simulated control sub-parameters based on the analyzed comprehensive simulated temperature control effects of all the second simulated temperature control operations of the target air-conditioner, and generate the simulated control parameters of the target air-conditioner based on the judgment results and the redundant control sub-parameters, thereby further improving the accuracy of the generation of the simulated control parameters, while also being beneficial to improving the air-conditioning control efficiency and the energy-saving degree of the air-conditioning control, and being beneficial to improving the sustainability of the air-conditioning control.

[0188] In this optional embodiment, as another optional implementation, the above-mentioned spatial layout information includes at least one of spatial light source information, spatial object distribution information, spatial material distribution information, and spatial sound field distribution information. The above-mentioned analysis module 302 analyzes the temperature control boundary area of ​​the target object according to the simulation control parameters in a specific manner including:

[0189] Analyze at least one air action surface in the space scene according to the space layout information, where the air action surface includes at least one of an air convection surface, a heat transfer surface, and a heat radiation surface;

[0190] Analyze at least one optimization item of the simulated control parameter according to the simulated control parameter and all air action surfaces, the optimization item is used to represent an adjustment item of the simulated control parameter of the target air conditioner based on the air action surface, and the adjustment item includes at least one of a control distance, a control wind speed, a control direction, and a control frequency;

[0191] Analyze the temperature control boundary area of ​​the target object according to the optimization items.

[0192] It can be seen that the implementation of this optional embodiment can, in the process of analyzing the temperature control boundary area of ​​the target object according to the simulated control parameters, specifically combine the spatial layout information of the target air conditioner corresponding to the spatial scene, including at least one of the spatial light source information, spatial object distribution information, spatial material distribution information, and spatial sound field distribution information, analyze at least one air action surface in the spatial scene including at least one of the air convection surface, the heat transfer surface, and the heat radiation surface, thereby combining the influence of the air action surface to analyze at least one of the simulated control parameters for representing the optimization item of the adjustment item of the simulated control parameters of the target air conditioner based on the air action surface, and the specific adjustment item may include at least one of the control distance, the control wind speed, the control direction, and the control frequency, and then analyze the temperature control boundary area of ​​the target object according to the optimization item, which can further improve the analysis accuracy of the temperature control boundary area of ​​the target object, and thus help to further improve the analysis accuracy of the target comfort area of ​​the target object, help to improve the accuracy and intelligence of air-conditioning control, and help to improve the energy-saving degree of air-conditioning control.

[0193] In an optional embodiment, the specific manner in which the above-mentioned generation module 303 generates the comfortable power-saving cooling capacity control scheme of the space scene according to the target comfort zone includes:

[0194] Determine whether the target air conditioner meets the directional control conditions corresponding to the target comfort zone. The directional control conditions are used to indicate that the target air conditioner directly acts on the target comfort zone. When it is determined that the target air conditioner meets the fixed-point control conditions corresponding to the target comfort zone, a comfortable and energy-saving cooling capacity control scheme for the space scene is generated according to the target comfort zone.

[0195] When it is determined that the target air conditioner does not meet the fixed-point control conditions corresponding to the target comfort zone, a comfortable and energy-saving cooling capacity control scheme for the space scene is generated according to the temperature control boundary area.

[0196] It can be seen that the implementation of the embodiment of the present invention can, after analyzing the target comfort area of ​​the target object in the spatial scene, trigger different operations of generating comfortable and energy-saving cooling control schemes for the spatial scene by judging whether the target air conditioner meets the directional control conditions corresponding to the target comfort area, which are used to indicate that the target air conditioner directly acts on the target comfort area. This can further improve the analysis accuracy of the target comfort area of ​​the target object in the spatial scene, improve the accuracy and intelligence of air-conditioning control, and further highlight the improvement of the energy saving and power saving of air-conditioning control. Specifically, when it is judged that the target air conditioner meets the fixed-point control conditions corresponding to the target comfort area, a comfortable and energy-saving cooling control scheme for the spatial scene is generated according to the target comfort area to achieve the purpose of accurately reaching the cooling capacity of the air conditioner for the target object. Moreover, when it is judged that the target air conditioner does not meet the fixed-point control conditions corresponding to the target comfort area, a comfortable and energy-saving cooling control scheme for the spatial scene is generated according to the temperature control boundary area obtained by analyzing the above-mentioned temperature field distribution information and spatial layout information and in which heat acts on the target comfort area, thereby improving the generation accuracy of the comfortable and energy-saving cooling control scheme of the air conditioner and the energy saving degree of air-conditioning control.

[0197] In this optional embodiment, as an optional implementation, the above-mentioned analysis module 302 is also used to analyze the control efficiency information of the target air conditioner according to the comfortable and energy-saving cooling capacity control scheme before the generation module 303 generates the cooling capacity control parameters of the target air conditioner according to the comfortable and energy-saving cooling capacity control scheme;

[0198] Optional, such as Figure 5 As shown, the device may also include:

[0199] The judging module 304 is used to judge whether the control efficiency information matches the preset control efficiency range information. When it is judged that the control efficiency information matches the preset control efficiency range information, the generating module is triggered to generate the cooling control parameters of the target air conditioner according to the comfortable power-saving cooling control scheme;

[0200] The calculation module 305 is used to calculate the target distance value between the control efficiency information and the preset control efficiency range information when the judgment module 304 judges that the control efficiency information does not match the preset control efficiency range information;

[0201] An adjustment module 306, configured to adjust at least one target item of the comfortable and energy-saving cooling capacity control scheme according to the target distance value, wherein the target item is configured to adapt the control efficiency information corresponding to the comfortable and energy-saving cooling capacity control scheme to match the preset control efficiency range information;

[0202] The generating module 303 is further used to generate cooling capacity control parameters of the target air conditioner according to the adjusted comfortable and power-saving cooling capacity control scheme.

[0203] It can be seen that the implementation of this optional embodiment can further analyze the control efficiency information of the target air conditioner according to the comfortable and energy-saving cooling capacity control scheme before generating the cooling capacity control parameters of the target air conditioner according to the comfortable and energy-saving cooling capacity control scheme, and when it is determined that the control efficiency information does not match the preset control efficiency range information, by calculating the target distance value between the control efficiency information and the preset control efficiency range information, and according to the target distance value, adjust at least one target item of the comfortable and energy-saving cooling capacity control scheme for adapting the control efficiency information corresponding to the comfortable and energy-saving cooling capacity control scheme to match the preset control efficiency range information, and finally generate the cooling capacity control parameters of the target air conditioner according to the adjusted comfortable and energy-saving cooling capacity control scheme, which can further improve the air-conditioning control efficiency and the user experience on the basis of improving the accuracy of cooling capacity control parameter generation and the energy-saving degree of air-conditioning control, and at the same time, improving the air-conditioning control efficiency itself can further improve the energy-saving degree of air-conditioning control, playing a complementary role.

[0204] Embodiment 4

[0205] See also Figure 6 , Figure 6 It is a structural schematic diagram of another air conditioning intelligent control device based on temperature field distribution disclosed in an embodiment of the present invention. Among them, the air conditioning intelligent control device based on temperature field distribution can be applied to smart home devices, such as smart air conditioners, and can also be applied to other smart devices related to smart home devices, including but not limited to cloud devices, edge computing devices, relay devices, base station devices, city management devices, and one or more of smart network devices, which are not limited in the embodiment of the present invention. Figure 6 As shown, the air conditioning intelligent control device based on the temperature field distribution condition may include:

[0206] The memory 401 stores executable program codes.

[0207] A processor 402 is coupled to the memory 401 .

[0208] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the intelligent air-conditioning control method based on the temperature field distribution described in the first embodiment of the present invention or the second embodiment of the present invention.

[0209] Embodiment 5

[0210] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the intelligent air conditioning control method based on temperature field distribution conditions described in Embodiment 1 or Embodiment 2 of the present invention.

[0211] Embodiment 6

[0212] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the intelligent air conditioning control method based on temperature field distribution conditions described in Example 1 or Example 2.

[0213] 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.

[0214] 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.

[0215] Finally, it should be noted that the intelligent air-conditioning control method and device based on the temperature field distribution conditions disclosed in the embodiment of the present invention only discloses the preferred embodiments of the present invention, which are only used to illustrate the technical scheme 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 the technical schemes recorded in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical schemes from the spirit and scope of the technical schemes of the various embodiments of the present invention.

Claims

1. An intelligent air conditioning control method based on temperature field distribution, characterized in that: The method comprises: Determine temperature field distribution information of a space scene corresponding to a target air conditioner and space layout information corresponding to the space scene; Analyzing a target comfort zone of a target object in the spatial scene according to the temperature field distribution information and the spatial layout information; Generating a comfortable and energy-saving cooling capacity control scheme for the space scene according to the target comfort zone; According to the comfortable and power-saving cooling capacity control scheme, cooling capacity control parameters of the target air conditioner are generated, and the cooling capacity control parameters are used to control the target air conditioner to perform a cooling capacity reaching operation on the target comfort zone.

2. The intelligent air conditioning control method based on temperature field distribution according to claim 1 is characterized in that: The step of analyzing the target comfort area of ​​the target object in the spatial scene according to the temperature field distribution information and the spatial layout information includes: Analyzing the activity range information of the target object in the spatial scene according to the temperature field distribution information and the spatial layout information; Determining object position information of the target object according to the activity range information; Analyzing the object temperature field distribution information within a first preset range of the target object according to the object position information and the temperature field distribution information, wherein the object temperature field distribution information is used to represent the temperature distribution within the first preset range of the target object; Analyzing a temperature control boundary area of ​​the target object according to the temperature field distribution information of the object, wherein the temperature control boundary area is within a second preset range of the target object; The target comfort zone of the target object in the spatial scene is analyzed according to the temperature control boundary zone, and the temperature control boundary zone thermally acts on the target comfort zone.

3. The intelligent air conditioning control method based on temperature field distribution according to claim 2 is characterized in that: Analyzing the temperature control boundary area of ​​the target object according to the temperature field distribution information of the object includes: Analyzing type information of the target object according to the temperature field distribution information of the object; Analyzing the comfortable temperature range information of the target object according to the type information; Generate a simulation control parameter of the target air conditioner according to the object temperature field distribution information and the comfort temperature range information, wherein the simulation control parameter is used to simulate controlling the target air conditioner to perform a first simulation temperature control operation on the target object so that the object temperature field distribution information matches the comfort temperature range information; The temperature control boundary area of ​​the target object is analyzed according to the simulation control parameters.

4. The intelligent air conditioning control method based on temperature field distribution according to claim 3 is characterized in that: The step of generating the simulation control parameters of the target air conditioner according to the object temperature field distribution information and the comfort temperature range information includes: Determining at least two target temperature information in the comfort temperature range information; For each of the target temperature information, generating a simulation control sub-parameter of the target air conditioner according to the target temperature information and the object temperature field distribution information, wherein the simulation control sub-parameter is used to simulate controlling the target air conditioner to perform a second simulated temperature control operation on the target object so that the object temperature field distribution information matches the target temperature information; Analyzing the comprehensive simulated temperature control effects of all the second simulated temperature control operations of the target air conditioner according to all the simulated control sub-parameters; According to the comprehensive simulated temperature control effect, all the simulated control sub-parameters are adjusted to obtain the simulated control parameters of the target air conditioner; And, adjusting all the simulation control sub-parameters according to the comprehensive simulation temperature control effect to obtain the simulation control parameters of the target air conditioner includes: According to the comprehensive simulated temperature control effect, it is determined whether there is a redundant control sub-parameter among all the simulated control sub-parameters, and when it is determined that there is a redundant control sub-parameter among all the simulated control sub-parameters, the simulated control parameter of the target air conditioner is generated according to all the simulated control sub-parameters and the redundant control sub-parameters; When it is determined that the redundant control sub-parameter does not exist in all the simulated control sub-parameters, the simulated control parameters of the target air conditioner are generated according to all the simulated control sub-parameters.

5. The intelligent air conditioning control method based on temperature field distribution according to claim 3 is characterized in that: The spatial layout information includes at least one of spatial light source information, spatial object distribution information, spatial material distribution information, and spatial sound field distribution information. The analyzing the temperature control boundary area of ​​the target object according to the simulation control parameter includes: Analyzing at least one air action surface in the space scene according to the space layout information, the air action surface comprising at least one of an air convection surface, a heat transfer surface, and a heat radiation surface; Analyzing at least one optimization item of the simulated control parameter according to the simulated control parameter and all the air action surfaces, the optimization item being used to represent an adjustment item of the target air conditioner based on the simulated control parameter of the air action surface, the adjustment item comprising at least one of a control distance, a control wind speed, a control direction, and a control frequency; According to the optimization item, a temperature control boundary area of ​​the target object is analyzed.

6. The intelligent air conditioning control method based on temperature field distribution according to any one of claims 2 to 5, characterized in that: The step of generating a comfortable and energy-saving cooling capacity control scheme for the space scene according to the target comfort zone includes: Determine whether the target air conditioner satisfies the directional control condition corresponding to the target comfort zone, the directional control condition is used to indicate that the target air conditioner directly acts on the target comfort zone, and when it is determined that the target air conditioner satisfies the fixed-point control condition corresponding to the target comfort zone, generate a comfortable power-saving cooling capacity control scheme for the space scene according to the target comfort zone; When it is determined that the target air conditioner does not satisfy the fixed-point control condition corresponding to the target comfort zone, a comfortable and energy-saving cooling capacity control scheme for the space scene is generated according to the temperature control boundary area.

7. The intelligent air conditioning control method based on temperature field distribution according to claim 6 is characterized in that: Before generating the cooling capacity control parameters of the target air conditioner according to the comfortable and power-saving cooling capacity control scheme, the method further includes: Analyzing the control efficiency information of the target air conditioner according to the comfortable and energy-saving cooling capacity control scheme; Determining whether the control efficiency information matches the preset control efficiency range information, and when it is determined that the control efficiency information matches the preset control efficiency range information, triggering the execution of the operation of generating the cooling capacity control parameters of the target air conditioner according to the comfortable power-saving cooling capacity control scheme; And, the method further comprises: When it is determined that the control efficiency information does not match the preset control efficiency range information, the target distance value between the control efficiency information and the preset control efficiency range information is calculated; according to the target distance value, at least one target item of the comfortable and power-saving cooling control scheme is adjusted, and the target item is used to adapt the control efficiency information corresponding to the comfortable and power-saving cooling control scheme to match the preset control efficiency range information; according to the adjusted comfortable and power-saving cooling control scheme, the cooling control parameters of the target air conditioner are generated.

8. An intelligent air conditioning control device based on temperature field distribution, characterized in that: The device comprises: A determination module, used to determine the temperature field distribution information of the space scene corresponding to the target air conditioner and the space layout information corresponding to the space scene; An analysis module, configured to analyze a target comfort zone of a target object in the spatial scene according to the temperature field distribution information and the spatial layout information; A generation module, used to generate a comfortable and energy-saving cooling capacity control scheme for the space scene according to the target comfort zone; The generation module is also used to generate cooling control parameters of the target air conditioner according to the comfortable and power-saving cooling control scheme, and the cooling control parameters are used to control the target air conditioner to perform a cooling touch-down operation on the target comfort area.

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

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the intelligent air conditioning control method based on the temperature field distribution condition as described in any one of claims 1-7.

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