Air conditioner control method and device based on user wearing perception

Abstract

The invention relates to the technical field of smart home, and discloses an air conditioner control method and device based on user wearing perception, and the method comprises the steps: obtaining user attribute information of a user and space environment information of a target space; analyzing user wearing information of the user according to the user attribute information and the space environment information; according to the user wearing information and the space environment information, air conditioner control parameters of the target space are generated and used for controlling an air conditioner of the target space. It can be seen that the user wearing information of the user can be analyzed according to the obtained user attribute information and the space environment information of the target space, and then the air conditioner control parameters of the target space are generated in combination with the space environment information of the target space so as to control the air conditioner of the target space, so that the air conditioner can be controlled through user wearing perception. The air conditioner control accuracy is improved, and then the air conditioner use comfort of a user is improved.

Description

Technical Field

[0001] This invention relates to the field of smart home technology, and in particular to an air conditioning control method and device based on user clothing perception. Background Technology

[0002] With the continuous development of smart home technology, more and more families are using smart home devices, such as smart air conditioners, which provide users with a more comfortable living environment.

[0003] Currently, smart air conditioners are generally controlled by operating according to the factory-set control logic after being turned on. For example, a smart air conditioner will turn on when the user returns home and operate according to preset parameters. However, when the user returns home, the room temperature will decrease as the smart air conditioner runs for longer, causing the user to feel cold. Especially in the hot summer, the above-mentioned alternation of hot and cold makes the user feel uncomfortable, and in severe cases, it may even affect the user's health.

[0004] Therefore, it is particularly important to improve users' comfort when using air conditioning through air conditioning control. Summary of the Invention

[0005] This invention provides an air conditioning control method and device based on user clothing perception, which can improve the user's comfort when using air conditioning.

[0006] To address the aforementioned technical problems, the first aspect of this invention discloses an air conditioning control method based on user clothing perception, the method comprising:

[0007] Obtain user attribute information and target space spatial environment information;

[0008] Analyze the user's clothing information based on the user attribute information and the spatial environment information;

[0009] Based on the user's clothing information and the spatial environment information, air conditioning control parameters for the target space are generated, and these air conditioning control parameters are used to control the air conditioning in the target space.

[0010] As an optional implementation, in a first aspect of the present invention, the target space includes the user's first space and a second space associated with the first space. The spatial environment information includes at least one of spatial layout information, spatial humidity distribution information, spatial temperature distribution information, spatial particulate matter distribution information, spatial wind speed information, spatial electromagnetic wave information, and spatial light distribution information. The user attribute information includes at least one of user location information, user metabolic rate information, user group tag information, user dynamic information, user heart rate information, user blood pressure information, user blood oxygen information, user voice information, and user image information. The step of analyzing the user's clothing information based on the user attribute information and the spatial environment information includes:

[0011] Based on the user attribute information and the spatial environment information, the first profile information of the user is determined, and the first profile information is used to represent the current state of each body part of the user;

[0012] Based on the first portrait information, the sensory sensitivity information of each body part is analyzed, and the sensory sensitivity information is used to determine the degree of sensory stimulus response of the body part.

[0013] Based on all the aforementioned perceptually sensitive information, analyze the user's clothing information.

[0014] As an optional implementation, in the first aspect of the present invention, the step of analyzing the sensory sensitivity information of each body part based on the first portrait information includes:

[0015] Based on the first image information and the spatial environment information, simulation control parameters are generated, which are used to simulate the control of the air conditioner in the target space;

[0016] Based on the simulation control parameters and the first profile information, predict the user's vital sign change information, wherein the vital sign change information includes at least one of tremor response information, pain response information, and body color response information;

[0017] Based on the vital sign change information and the first portrait information, a second portrait information is generated, and the second portrait information corresponds to the first portrait information;

[0018] Based on the second portrait information and the first portrait information, analyze the sensory sensitivity information of each body part.

[0019] As an optional implementation, in the first aspect of the present invention, analyzing the user's clothing information based on all the said perceptual sensitive information includes:

[0020] Based on all the said sensory sensitive information, at least one first sensitive body part is determined from all the said body parts;

[0021] Based on all the first sensitive body parts and the first portrait information, analyze the user's clothing information;

[0022] And, determining at least one first sensitive body part from all the body parts based on all the said sensory sensitive information includes:

[0023] For each body part, according to a preset matching model, a first matching degree value is calculated between the perceptual sensitive information of the body part and the preset perceptual sensitive information corresponding to the body part; it is determined whether the first matching degree value is greater than or equal to the preset first matching degree threshold corresponding to the body part; when it is determined that the first matching degree value is greater than or equal to the preset first matching degree threshold corresponding to the body part, the body part is determined to be the first sensitive body part.

[0024] Furthermore, the method further includes:

[0025] When it is determined that all the first matching degree values ​​are less than the corresponding preset first matching degree threshold, then at least one second sensitive body part is determined from all the body parts, and the first matching degree value of the second sensitive body part is within the preset second matching degree threshold range.

[0026] Based on all the second sensitive body parts and the first portrait information, the user's clothing information is analyzed.

[0027] As an optional implementation, in the first aspect of the present invention, the user clothing information includes at least one of clothing type information, clothing coverage location information, clothing thickness information, and clothing material information. The step of generating air conditioning control parameters for the target space based on the user clothing information and the spatial environment information includes:

[0028] Based on the user's clothing information, user attribute information, and obtained air conditioning usage demand information, the distribution range of the user's first comfort zone is analyzed;

[0029] Based on the distribution range of the first comfort zone, at least one controlled area of ​​the target space is determined, wherein the controlled area is used to represent the area where the air conditioner directly acts in the target space;

[0030] Based on all the controlled areas and the air conditioning usage requirements, the air conditioning control parameters for the target space are generated.

[0031] As an optional implementation, in the first aspect of the present invention, the step of analyzing the distribution range of the user's first comfort zone based on the user's clothing information, the user attribute information, and the obtained air conditioning usage demand information includes:

[0032] Based on the user's clothing information and user attribute information, analyze the distribution range of the user's second comfort zone;

[0033] Based on the obtained air conditioner usage demand information, a user perception impact parameter is calculated, which is used to represent the degree of impact of the air conditioner usage demand information on the user.

[0034] Based on the user's perceived impact parameters and the distribution range of the second comfort zone, the distribution range of the user's first comfort zone is analyzed.

[0035] As an optional implementation, in the first aspect of the present invention, before calculating the user-perceived impact parameters based on the acquired air conditioning usage demand information, the method further includes:

[0036] Analyze the user's actual health status information based on the user's clothing information and user attribute information;

[0037] Based on the actual health status information and the obtained air conditioning usage demand information, the air conditioning demand health fit value of the user is analyzed. The air conditioning demand health fit value is used to represent the degree of health fit between the air conditioning usage demand information and the actual health status information.

[0038] Determine whether the air conditioner demand health adaptation value is greater than or equal to a preset adaptation threshold. If it is determined that the air conditioner demand health adaptation value is greater than or equal to the preset adaptation threshold, then trigger the operation of calculating user perception impact parameters based on the obtained air conditioner usage demand information.

[0039] When it is determined that the air conditioning demand health fit value is less than the preset fit threshold, the air conditioning usage demand information is adjusted according to the actual health status information, and the operation of analyzing the user's air conditioning demand health fit value based on the actual health status information and the obtained air conditioning usage demand information is re-triggered; and the operation of determining whether the air conditioning demand health fit value is greater than or equal to the preset fit threshold is determined.

[0040] A second aspect of the present invention discloses an air conditioning control device based on user clothing perception, the device comprising:

[0041] The acquisition module is used to acquire user attribute information and spatial environment information of the target space;

[0042] The analysis module is used to analyze the user's clothing information based on the user attribute information and the spatial environment information;

[0043] The generation module is used to generate air conditioning control parameters for the target space based on the user's clothing information and the spatial environment information. The air conditioning control parameters are used to control the air conditioning in the target space.

[0044] As an optional implementation, in a second aspect of the present invention, the target space includes the user's first space and a second space associated with the first space. The spatial environment information includes at least one of spatial layout information, spatial humidity distribution information, spatial temperature distribution information, spatial particulate matter distribution information, spatial wind speed information, spatial electromagnetic wave information, and spatial light distribution information. The user attribute information includes at least one of user location information, user metabolic rate information, user group tag information, user dynamic information, user heart rate information, user blood pressure information, user blood oxygen information, user voice information, and user image information. The specific method by which the analysis module analyzes the user's clothing information based on the user attribute information and the spatial environment information includes:

[0045] Based on the user attribute information and the spatial environment information, the first profile information of the user is determined, and the first profile information is used to represent the current state of each body part of the user;

[0046] Based on the first portrait information, the sensory sensitivity information of each body part is analyzed, and the sensory sensitivity information is used to determine the degree of sensory stimulus response of the body part.

[0047] Based on all the aforementioned perceptually sensitive information, analyze the user's clothing information.

[0048] As an optional implementation, in a second aspect of the present invention, the specific method by which the analysis module analyzes the sensory sensitive information of each body part based on the first portrait information includes:

[0049] Based on the first image information and the spatial environment information, simulation control parameters are generated, which are used to simulate the control of the air conditioner in the target space;

[0050] Based on the simulation control parameters and the first profile information, predict the user's vital sign change information, wherein the vital sign change information includes at least one of tremor response information, pain response information, and body color response information;

[0051] Based on the vital sign change information and the first portrait information, a second portrait information is generated, and the second portrait information corresponds to the first portrait information;

[0052] Based on the second portrait information and the first portrait information, analyze the sensory sensitivity information of each body part.

[0053] As an optional implementation, in a second aspect of the present invention, the specific method by which the analysis module analyzes the user's clothing information based on all the perceived sensitive information includes:

[0054] Based on all the said sensory sensitive information, at least one first sensitive body part is determined from all the said body parts;

[0055] Based on all the first sensitive body parts and the first portrait information, analyze the user's clothing information;

[0056] Furthermore, the specific method by which the analysis module determines at least one first sensitive body part from all the body parts based on all the sensory sensitive information includes:

[0057] For each body part, according to a preset matching model, a first matching degree value is calculated between the perceptual sensitive information of the body part and the preset perceptual sensitive information corresponding to the body part; it is determined whether the first matching degree value is greater than or equal to the preset first matching degree threshold corresponding to the body part; when it is determined that the first matching degree value is greater than or equal to the preset first matching degree threshold corresponding to the body part, the body part is determined to be the first sensitive body part.

[0058] The device also includes:

[0059] The determination module is used to determine at least one second sensitive body part from all the body parts when the analysis module determines that all the first matching degree values ​​are less than the corresponding preset first matching degree threshold. The first matching degree value of the second sensitive body part is within the preset second matching degree threshold range.

[0060] The analysis module is also used to analyze the user's clothing information based on all the second sensitive body parts and the first portrait information.

[0061] As an optional implementation, in the second aspect of the present invention, the user clothing information includes at least one of clothing type information, clothing coverage location information, clothing thickness information, and clothing material information. The specific method by which the generation module generates the air conditioning control parameters for the target space based on the user clothing information and the spatial environment information includes:

[0062] Based on the user's clothing information, user attribute information, and obtained air conditioning usage demand information, the distribution range of the user's first comfort zone is analyzed;

[0063] Based on the distribution range of the first comfort zone, at least one controlled area of ​​the target space is determined, wherein the controlled area is used to represent the area where the air conditioner directly acts in the target space;

[0064] Based on all the controlled areas and the air conditioning usage requirements, the air conditioning control parameters for the target space are generated.

[0065] As an optional implementation, in a second aspect of the present invention, the specific method by which the generation module analyzes the distribution range of the user's first comfort zone based on the user's clothing information, the user attribute information, and the obtained air conditioning usage demand information includes:

[0066] Based on the user's clothing information and user attribute information, analyze the distribution range of the user's second comfort zone;

[0067] Based on the obtained air conditioner usage demand information, a user perception impact parameter is calculated, which is used to represent the degree of impact of the air conditioner usage demand information on the user.

[0068] Based on the user's perceived impact parameters and the distribution range of the second comfort zone, the distribution range of the user's first comfort zone is analyzed.

[0069] As an optional implementation, in a second aspect of the present invention, the analysis module is further configured to analyze the user's actual health status information based on the user's clothing information and the user attribute information before the generation module calculates the user's perceived impact parameters based on the obtained air conditioning usage demand information;

[0070] The analysis module is also used to analyze the user's air conditioning demand health fit value based on the actual health status information and the obtained air conditioning usage demand information. The air conditioning demand health fit value is used to represent the degree of health fit between the air conditioning usage demand information and the actual health status information.

[0071] The device also includes:

[0072] The judgment module is used to determine whether the air conditioner demand health adaptation value is greater than or equal to a preset adaptation threshold. When it is determined that the air conditioner demand health adaptation value is greater than or equal to the preset adaptation threshold, the generation module is triggered to perform the operation of calculating user perception impact parameters based on the obtained air conditioner usage demand information.

[0073] The adjustment module is used to adjust the air conditioner usage demand information based on the actual health status information when the judgment module determines that the air conditioner demand health compatibility value is less than the preset compatibility threshold, and to re-trigger the analysis module to perform the operation of analyzing the user's air conditioner demand health compatibility value based on the actual health status information and the obtained air conditioner usage demand information; the judgment module performs the operation of determining whether the air conditioner demand health compatibility value is greater than or equal to the preset compatibility threshold.

[0074] A third aspect of the present invention discloses another air conditioning control device based on user clothing perception, the device comprising:

[0075] Memory containing executable program code;

[0076] A processor coupled to the memory;

[0077] The processor calls the executable program code stored in the memory to execute the air conditioning control method based on user clothing perception disclosed in the first aspect of the present invention.

[0078] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the air conditioning control method based on user clothing perception disclosed in the first aspect of the present invention.

[0079] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0080] In this embodiment of the invention, user attribute information and target space spatial environment information are acquired; user clothing information is analyzed based on the user attribute information and spatial environment information; and air conditioning control parameters for the target space are generated based on the user clothing information and spatial environment information. These air conditioning control parameters are used to control the air conditioning in the target space. Therefore, implementing this invention enables the analysis of user clothing information based on the acquired user attribute information and target space spatial environment information, and then, in conjunction with the target space spatial environment information, generates air conditioning control parameters for the target space to control the air conditioning. This improves the accuracy of air conditioning control through user clothing perception, thereby enhancing user comfort when using the air conditioning. Attached Figure Description

[0081] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0082] Figure 1This is a schematic diagram of an air conditioning control scenario based on user clothing perception disclosed in an embodiment of the present invention;

[0083] Figure 2 This is a flowchart illustrating an air conditioning control method based on user clothing perception disclosed in an embodiment of the present invention;

[0084] Figure 3 This is a flowchart illustrating another air conditioning control method based on user clothing perception disclosed in an embodiment of the present invention;

[0085] Figure 4 This is a schematic diagram of the structure of an air conditioning control device based on user clothing perception disclosed in an embodiment of the present invention;

[0086] Figure 5 This is a schematic diagram of another air conditioning control device based on user clothing perception disclosed in an embodiment of the present invention;

[0087] Figure 6 This is a schematic diagram of another air conditioning control device based on user clothing perception disclosed in an embodiment of the present invention. Detailed Implementation

[0088] To enable those skilled in the art to better understand the present invention, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0089] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0090] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0091] This invention discloses an air conditioning control method and device based on user clothing perception. It analyzes user clothing information based on acquired user attribute information and spatial environment information of the target space, and then, combined with the spatial environment information of the target space, generates air conditioning control parameters for the target space to control the air conditioning. By leveraging user clothing perception, it improves the accuracy of air conditioning control and ultimately enhances user comfort. Detailed descriptions follow.

[0092] To better understand the air conditioning control method and device based on user clothing perception described in this invention, a scenario applicable to the air conditioning control method based on user clothing perception is first described. Specifically, the schematic diagram of this scenario can be shown as follows: Figure 1 As shown, Figure 1 As shown, the scenario includes a target space (e.g., a house) divided into three areas, a smart air conditioner, and a user / target. The target space includes a first space for the user (area B) and a second space associated with the first space (area A, area C). Optionally, the first and second spaces can represent different target scenarios. The user / target can perform different activities in the first and second spaces to present different target scenarios. Target scenarios can include at least one of the following: a user reading scenario, a user sleeping scenario, a user cooking scenario, a user exercising scenario, and a user washing scenario. Optionally, as... Figure 1 As shown, a smart air conditioner can acquire user attribute information and target space environmental information; analyze user clothing information based on the user attribute information and spatial environment information; and generate air conditioning control parameters for the target space based on the user clothing information and spatial environment information. These air conditioning control parameters are used to control the air conditioning in the target space, and the air conditioning is limited to the following: Figure 1 The smart air conditioner shown above, however, in practical applications, can be used in either the user's primary space or a secondary space. For example, Figure 1 As shown, the aforementioned methods for intelligent air conditioners to obtain user attribute information and target space environmental information can be either self-uploaded by the user through at least one of the following: a specified program, software, system, or terminal device; or, as... Figure 1The sensory fusion frame structure shown is obtained through sensing signals with a communication-sensing fusion frame structure. The specific acquisition method is described in Example 1. It should be noted that the sensing fusion frame structure includes a communication control domain (C-Ctr) and a sensing control domain (S-Str). This sensing fusion frame structure can also be determined by the user through controlling the corresponding communication-sensing control device; specifically, it can be determined by the user through setting the corresponding target scene via an app. The sensing fusion frame structure proposed in this invention mainly involves a balanced distribution of the communication control domain and the sensing control domain. Furthermore, the scenarios involved in this invention can include smart home target detection scenarios, vehicle-mounted intelligent connected target detection scenarios, emergency rescue target detection scenarios, attendance tracking target detection scenarios, etc. It should be noted that... Figure 1 The scenario diagram shown is only intended to illustrate a scenario in which an air conditioning control method based on user clothing perception is applicable. The target space (such as a house), smart air conditioner, user / target, etc., involved are also only for illustrative purposes. Figure 1 The scenario diagram shown is not intended to limit the scope of this discussion. The following is a detailed description of an air conditioning control method and device based on user clothing perception.

[0093] Example 1

[0094] Please see Figure 2 , Figure 2 This is a flowchart illustrating an air conditioning control method based on user clothing perception, as disclosed in an embodiment of the present invention. Figure 2 The described air conditioning control method based on user clothing perception can be applied to smart home devices, such as smart air conditioners, and also to smart devices associated with smart home devices, such as smart devices with electrical / electromagnetic / wireless communication connections with smart home devices. These smart devices include, but are not limited to, one or more of cloud devices, NAS, edge computing devices, relay devices, base station devices, urban management devices, smart connected devices, energy-saving devices, and security devices. This invention does not limit the scope of these devices. Figure 2 As shown, the air conditioning control method based on user clothing perception may include the following operations:

[0095] 101. Obtain user attribute information and target space spatial environment information.

[0096] In this embodiment of the invention, optionally, the aforementioned user attribute information and spatial environment information may be obtained by the user through at least one of the specified programs, software, systems, and terminal devices, or they may be obtained through the perception of specified sensing devices. The aforementioned sensing devices include, but are not limited to, at least one of radar, camera, infrared sensor, night vision sensor, pressure sensor, and wearable device.

[0097] Further, optionally, the sensing device can perceive the aforementioned user attribute information and spatial environment information through the following steps:

[0098] Based on the user's user identification information, the user's target space and user's permission information are determined. The aforementioned permission information is used to indicate that the user key matches the pre-stored system key.

[0099] Based on the target space and permission information, a first sensing signal is generated, which is used to sense the target space and the user.

[0100] Based on the first and second sensing signals, the user's attribute information and the spatial environment information of the target space are determined. The second sensing signal is a feedback signal of the first sensing signal.

[0101] Optionally, the first sensing signal and the second sensing signal mentioned above include a communication sensing fusion frame structure. The communication sensing fusion frame structure of the first sensing signal is different from that of the second sensing signal. The communication sensing fusion frame structure of the first sensing signal is different when it is used to determine user attribute information and when it is used to determine spatial environment information.

[0102] Optionally, the aforementioned user identification information may include, but is not limited to, at least one of the following: user's blood type, fingerprint, pupil information, iris information, image information, target space identification information, identification number, and DNA information. The aforementioned target space identification information refers to tag information generated by the user belonging to at least one sub-region within the target space.

[0103] As can be seen, implementing this optional embodiment can obtain the aforementioned user attribute information and target space spatial environment information by the user independently uploading it through at least one of the specified programs, software, systems, and terminal devices. Furthermore, it can determine the user's target space and user permission information by obtaining the user identification information, and then generate a first sensing signal based on the target space and permission information. Based on the first sensing signal and the feedback second sensing signal, the user's user attribute information and target space spatial environment information are determined. While improving the flexibility, accuracy, convenience, and intelligence of the acquisition method of user attribute information and spatial environment information, it also improves the security and privacy of the acquisition of user attribute information and spatial environment information, which is conducive to improving the user's comfort and trust in air conditioning use.

[0104] 102. Analyze the user's clothing information based on user attribute information and spatial environment information.

[0105] In this embodiment of the invention, as an optional implementation, the target space includes a first space for the user and a second space associated with the first space. The spatial environment information includes at least one of spatial layout information, spatial humidity distribution information, spatial temperature distribution information, spatial particulate matter distribution information, spatial wind speed information, spatial electromagnetic wave information, and spatial light distribution information. The user attribute information includes at least one of user location information, user metabolic rate information, user group tag information, user dynamic information, user heart rate information, user blood pressure information, user blood oxygen information, user voice information, and user image information. The above-mentioned analysis of the user's clothing information based on the user attribute information and spatial environment information may include the following operations:

[0106] Based on user attribute information and spatial environment information, the user's first profile information is determined. The first profile information is used to represent the current state of each part of the user's body.

[0107] Based on the first portrait information, the sensory sensitivity information of each body part is analyzed, and the sensory sensitivity information is used to determine the degree of sensory stimulus response of the body part.

[0108] Analyze user clothing information based on all perceived sensitive information.

[0109] In this optional embodiment, the first portrait information is not limited to information in the form of a "portrait", but is a set of sub-information for the current state of each part of the user's body.

[0110] In this optional embodiment, the aforementioned user group tag information may be further obtained based on the user's physical characteristics, age, gender, and other basic information, and the aforementioned user dynamic information may be further determined based on the user's physical activity range over a preset period of time.

[0111] In this optional embodiment, the second space may be a space that shares a common boundary with the first space, or it may be a space with a directly or indirectly connected channel.

[0112] As can be seen, implementing this optional embodiment can determine the first profile information representing the current state of each part of the user's body based on the aforementioned user attribute information and the spatial environment information of the user's first space and the second space associated with the first space. Furthermore, it can analyze the user's perceptual sensitive information representing the degree of perceptual stimulus response of each body part. Based on all perceptual sensitive information, it can analyze the user's clothing information, improve the accuracy and feasibility of analyzing the user's clothing information, and thus improve the accuracy of air conditioning control and improve the user's comfort when using air conditioning.

[0113] In this optional embodiment, as an optional implementation, the above-mentioned analysis of the sensory sensitivity information of each body part based on the first portrait information may include the following operations:

[0114] Based on the first image information and spatial environment information, simulation control parameters are generated, which are used to simulate and control the air conditioning of the target space.

[0115] Based on the simulation control parameters and the first profile information, predict the user's vital sign changes, which include at least one of the following: tremor response information, pain response information, and body color response information.

[0116] Based on the information on changes in vital signs and the information in the first portrait, information in the second portrait is generated, and the information in the second portrait corresponds to the information in the first portrait.

[0117] Based on the information from the second and first portraits, analyze the sensory sensitivity information of each body part.

[0118] In this optional embodiment, the aforementioned body color response information may be, for example, the change in the color of certain body parts when a user is exposed to cold.

[0119] As can be seen, implementing this optional embodiment can further generate simulated control parameters based on the first profile information and spatial environment information to simulate the control of the air conditioning in the target space. Based on the simulated control parameters and the first profile information, it can predict at least one change in the user's vital signs, including tremor response information, pain response information, and body color response information. According to the change in vital signs and the first profile information, it generates second profile information corresponding to the first profile information, i.e., the simulated current state of each body part of the user. Finally, combining the aforementioned first profile information, it analyzes the perceptual sensitivity information of each body part of the user, thereby improving the accuracy and feasibility of analyzing the user's perceptual sensitivity information. This is beneficial for improving the accuracy and feasibility of analyzing the user's clothing information and for improving the accuracy of air conditioning control.

[0120] In this optional embodiment, as another optional implementation, the above-described analysis of the user's clothing information based on all perceptually sensitive information may include the following operations:

[0121] Based on all sensory sensitive information, identify at least one primary sensitive body part from all body parts.

[0122] Based on all primary sensitive body parts and primary profile information, analyze the user's clothing information.

[0123] Optionally, the above-described process of determining at least one primary sensitive body part from all body parts based on all perceptually sensitive information may include the following operations:

[0124] For each body part, according to the preset matching model, the first matching degree value between the perceptual sensitive information of the body part and the preset perceptual sensitive information corresponding to the body part is calculated; it is determined whether the first matching degree value is greater than or equal to the preset first matching degree threshold corresponding to the body part; when it is determined that the first matching degree value is greater than or equal to the preset first matching degree threshold corresponding to the body part, the body part is determined to be the first sensitive body part.

[0125] Optionally, the method may also include the following operations:

[0126] When it is determined that all first matching degree values ​​are less than the corresponding preset first matching degree threshold, at least one second sensitive body part is determined from all body parts, and the first matching degree value of the second sensitive body part is within the preset second matching degree threshold range.

[0127] Based on all secondary sensitive body parts and primary profile information, analyze the user's clothing information.

[0128] As can be seen, implementing this optional embodiment can further determine the first sensitive body part and the second sensitive body part by calculating the first matching degree value between the perceptual sensitive information of each body part and the preset perceptual sensitive information corresponding to that body part, thereby improving the accuracy and scientific nature of the determination of sensitive body parts. In combination with the first profile information, the user's clothing information can be analyzed to further improve the accuracy and feasibility of the analysis of the user's clothing information, which is conducive to improving the accuracy of air conditioning control and thus improving the user's comfort when using air conditioning.

[0129] 103. Based on the user's clothing information and spatial environment information, generate air conditioning control parameters for the target space. These air conditioning control parameters are used to control the air conditioning in the target space.

[0130] As can be seen, implementing the embodiments of the present invention can analyze the user's clothing information based on the obtained user attribute information and the spatial environment information of the target space, and then combine the spatial environment information of the target space to generate air conditioning control parameters for the target space, so as to control the air conditioning in the target space. This improves the control accuracy of the air conditioning through user clothing perception, thereby improving the user's comfort when using the air conditioning.

[0131] Example 2

[0132] Please see Figure 3 , Figure 3 This is a flowchart illustrating another air conditioning control method based on user clothing perception disclosed in an embodiment of the present invention. Figure 3The described air conditioning control method based on user clothing perception can be applied to smart home devices, such as smart air conditioners, and also to smart devices associated with smart home devices, such as smart devices with electrical / electromagnetic / wireless communication connections with smart home devices. These smart devices include, but are not limited to, one or more of cloud devices, NAS, edge computing devices, relay devices, base station devices, urban management devices, smart connected devices, energy-saving devices, and security devices. This invention does not limit the scope of these devices. Figure 3 As shown, the air conditioning control method based on user clothing perception may include the following operations:

[0133] 201. Obtain user attribute information and target space spatial environment information.

[0134] 202. Analyze the user's clothing information based on user attribute information and spatial environment information.

[0135] In this embodiment of the invention, optionally, the user's clothing information includes at least one of clothing type information, clothing coverage location information, clothing thickness information, and clothing material information.

[0136] In this embodiment of the invention, optionally, the above-mentioned clothing type information, clothing coverage location information, clothing thickness information, and clothing material information can be determined progressively.

[0137] 203. Based on user clothing information, user attribute information, and obtained air conditioning usage information, analyze the distribution range of the user's first comfort zone.

[0138] In this embodiment of the invention, as an optional implementation, the above-mentioned analysis of the user's first comfort zone distribution range based on user clothing information, user attribute information, and obtained air conditioning usage demand information may include the following operations:

[0139] Based on user clothing information and user attribute information, analyze the distribution range of the user's second comfort zone.

[0140] Based on the obtained air conditioner usage demand information, user perception impact parameters are calculated. These parameters represent the degree of impact of air conditioner usage demand information on users.

[0141] Based on the user's perceived influence parameters and the distribution range of the second comfort zone, analyze the distribution range of the user's first comfort zone.

[0142] In this optional embodiment, the aforementioned second comfort zone distribution range may refer to the comfort zone range of the user's body parts, or further, it may be the body area that maintains comfort after comprehensive air conditioning interference, or it may be the survival range of the target space that makes the user comfortable.

[0143] In this optional embodiment, the obtained air conditioning usage demand information can refer to the supplementary content in Embodiment 1 for step 101, obtaining user attribute information and target space spatial environment information. It can be determined based on the perceived user attribute information and spatial environment information, or it can be obtained by the user through user uploads mentioned in Embodiment 1.

[0144] As can be seen, implementing this optional embodiment can analyze the distribution range of the user's second comfort zone based on the user's clothing information and user attribute information. Based on the obtained air conditioning usage demand information, it can calculate the user perception impact parameter to represent the degree of impact of the air conditioning usage demand information on the user. In this way, combined with the distribution range of the second comfort zone, it can analyze the distribution range of the user's first comfort zone, improve the accuracy of the analysis of the distribution range of the user's first comfort zone, and thus help improve the accuracy of the determination of the controlled area, improve the control accuracy of the air conditioning, and improve the user's comfort when using the air conditioning.

[0145] In this optional embodiment, as an optional implementation, before calculating the user-perceived impact parameters based on the obtained air conditioning usage demand information, the method may further include the following operations:

[0146] Based on user clothing information and user attribute information, analyze the user's actual health status information.

[0147] Based on actual health status information and obtained air conditioning usage demand information, the user's air conditioning demand health fit value is analyzed. The air conditioning demand health fit value is used to represent the degree of health fit between air conditioning usage demand information and actual health status information.

[0148] Determine whether the air conditioner demand health adaptation value is greater than or equal to the preset adaptation threshold. If it is determined that the air conditioner demand health adaptation value is greater than or equal to the preset adaptation threshold, then the operation of calculating the user perception impact parameters based on the obtained air conditioner usage demand information is triggered.

[0149] When it is determined that the air conditioner demand health compatibility value is less than the preset compatibility threshold, the air conditioner usage demand information is adjusted according to the actual health status information, and the operation of analyzing the user's air conditioner demand health compatibility value based on the actual health status information and the obtained air conditioner usage demand information is triggered again; and the operation of determining whether the air conditioner demand health compatibility value is greater than or equal to the preset compatibility threshold is determined.

[0150] As can be seen, implementing this optional embodiment can analyze the user's actual health status information based on each user attribute information and user clothing information in Embodiment 1. Then, combined with the obtained air conditioning usage demand information, it can analyze the air conditioning demand health fit value, which represents the degree of health fit between the user's air conditioning usage demand information and actual health status information. Thus, before calculating the user's perceived impact parameters based on the obtained air conditioning usage demand information, it can improve the accuracy of system intervention on air conditioning usage demand information. The purpose is to improve the user's air conditioning usage health on the basis of improving the user's air conditioning usage comfort, and prevent the occurrence of physical health problems caused by the user's blind use of air conditioning.

[0151] 204. Based on the distribution range of the first comfort zone, determine at least one controlled area of ​​the target space, wherein the controlled area is used to represent the area where the air conditioner directly acts on the target space.

[0152] In this embodiment of the invention, the controlled area can be an area in the actual target space, or it can be the area where the controlled component in the air conditioner is located, including but not limited to air guides, swivel blades, etc. Specifically, it can be the angle and sweeping speed of the air guides, swivel blades, etc.

[0153] 205. Based on all controlled areas and air conditioning usage information, generate air conditioning control parameters for the target space. These parameters are used to control the air conditioning in the target space.

[0154] In this embodiment of the invention, for the supplementary explanation of steps 201-202, please refer to the supplementary explanation of steps 101-102 in Embodiment 1. This embodiment of the invention will not repeat the explanation.

[0155] As can be seen, implementing the embodiments of the present invention can analyze the user's clothing information based on the acquired user attribute information and the spatial environment information of the target space. Then, by combining the user attribute information and the acquired air conditioning usage demand information, it can analyze the distribution range of the user's first comfort zone and at least one controlled area of ​​the target space. Furthermore, by combining the acquired air conditioning usage demand information, it can generate air conditioning control parameters for the target space, thereby realizing the control of the air conditioning in the target space. Thus, by analyzing the user's clothing perception, the distribution range of the user's comfort zone, and the controlled area, and combining the air conditioning usage demand information, it can further improve the control accuracy of the air conditioning, thereby improving the user's comfort when using the air conditioning.

[0156] Example 3

[0157] Please see Figure 4 , Figure 4This is a schematic diagram of an air conditioning control device based on user clothing perception, disclosed in an embodiment of the present invention. This air conditioning control device based on user clothing perception can be applied to smart home devices, such as smart air conditioners, and can also be applied to smart devices associated with smart home devices, such as smart devices with electrical / electromagnetic / wireless communication connections with smart home devices. These smart devices include, but are not limited to, one or more of the following: cloud devices, NAS, edge computing devices, relay devices, base station devices, urban management devices, smart network devices, energy-saving devices, and security protection devices. The embodiments of the present invention do not impose limitations. Figure 4 As shown, the air conditioning control device transmission module based on user clothing perception may include:

[0158] The acquisition module 301 is used to acquire user attribute information and spatial environment information of the target space.

[0159] Analysis module 302 is used to analyze the user's clothing information based on user attribute information and spatial environment information.

[0160] The generation module 303 is used to generate air conditioning control parameters for the target space based on the user's clothing information and spatial environment information. The air conditioning control parameters are used to control the air conditioning in the target space.

[0161] As can be seen, implementing the embodiments of the present invention can analyze the user's clothing information based on the obtained user attribute information and the spatial environment information of the target space, and then combine the spatial environment information of the target space to generate air conditioning control parameters for the target space, so as to control the air conditioning in the target space. This improves the control accuracy of the air conditioning through user clothing perception, thereby improving the user's comfort when using the air conditioning.

[0162] In this embodiment of the invention, as an optional implementation, the target space includes a first space for the user and a second space associated with the first space. The spatial environment information includes at least one of spatial layout information, spatial humidity distribution information, spatial temperature distribution information, spatial particulate matter distribution information, spatial wind speed information, spatial electromagnetic wave information, and spatial light distribution information. The user attribute information includes at least one of user location information, user metabolic rate information, user group tag information, user dynamic information, user heart rate information, user blood pressure information, user blood oxygen information, user voice information, and user image information. The specific method by which the analysis module 302 analyzes the user's clothing information based on the user attribute information and spatial environment information includes:

[0163] Based on user attribute information and spatial environment information, the user's first profile information is determined. The first profile information is used to represent the current state of each part of the user's body.

[0164] Based on the first portrait information, the sensory sensitivity information of each body part is analyzed, and the sensory sensitivity information is used to determine the degree of sensory stimulus response of the body part.

[0165] Analyze user clothing information based on all perceived sensitive information.

[0166] As can be seen, implementing this optional embodiment can determine the first profile information representing the current state of each part of the user's body based on the aforementioned user attribute information and the spatial environment information of the user's first space and the second space associated with the first space. Furthermore, it can analyze the user's perceptual sensitive information representing the degree of perceptual stimulus response of each body part. Based on all perceptual sensitive information, it can analyze the user's clothing information, improve the accuracy and feasibility of analyzing the user's clothing information, and thus improve the accuracy of air conditioning control and improve the user's comfort when using air conditioning.

[0167] In this optional embodiment, as an optional implementation, the specific method by which the analysis module 302 analyzes the sensory sensitive information of each body part based on the first portrait information includes:

[0168] Based on the first image information and spatial environment information, simulation control parameters are generated, which are used to simulate and control the air conditioning of the target space.

[0169] Based on the simulation control parameters and the first profile information, predict the user's vital sign changes, which include at least one of the following: tremor response information, pain response information, and body color response information.

[0170] Based on the information on changes in vital signs and the information in the first portrait, information in the second portrait is generated, and the information in the second portrait corresponds to the information in the first portrait.

[0171] Based on the information from the second and first portraits, analyze the sensory sensitivity information of each body part.

[0172] As can be seen, implementing this optional embodiment can further generate simulated control parameters based on the first profile information and spatial environment information to simulate the control of the air conditioning in the target space. Based on the simulated control parameters and the first profile information, it can predict at least one change in the user's vital signs, including tremor response information, pain response information, and body color response information. According to the change in vital signs and the first profile information, it generates second profile information corresponding to the first profile information, i.e., the simulated current state of each body part of the user. Finally, combining the aforementioned first profile information, it analyzes the perceptual sensitivity information of each body part of the user, thereby improving the accuracy and feasibility of analyzing the user's perceptual sensitivity information. This is beneficial for improving the accuracy and feasibility of analyzing the user's clothing information and for improving the accuracy of air conditioning control.

[0173] In this optional embodiment, as another optional implementation, the specific method by which the analysis module 302 analyzes the user's clothing information based on all perceptually sensitive information includes:

[0174] Based on all sensory sensitive information, identify at least one primary sensitive body part from all body parts.

[0175] Based on all primary sensitive body parts and primary profile information, analyze the user's clothing information.

[0176] Optionally, the specific method by which the analysis module 302 determines at least one first sensitive body part from all body parts based on all perceptually sensitive information includes:

[0177] For each body part, according to the preset matching model, the first matching degree value between the perceptual sensitive information of the body part and the preset perceptual sensitive information corresponding to the body part is calculated; it is determined whether the first matching degree value is greater than or equal to the preset first matching degree threshold corresponding to the body part; when it is determined that the first matching degree value is greater than or equal to the preset first matching degree threshold corresponding to the body part, the body part is determined to be the first sensitive body part.

[0178] Optional, such as Figure 5 As shown, the device may further include:

[0179] The determination module 304 is used to determine at least one second sensitive body part from all body parts when the analysis module 302 determines that all first matching degree values ​​are less than the corresponding preset first matching degree threshold. The first matching degree value of the second sensitive body part is within the preset second matching degree threshold range.

[0180] The analysis module 302 is also used to analyze the user's clothing information based on all the second sensitive body parts and the first portrait information.

[0181] As can be seen, implementing this optional embodiment can further determine the first sensitive body part and the second sensitive body part by calculating the first matching degree value between the perceptual sensitive information of each body part and the preset perceptual sensitive information corresponding to that body part, thereby improving the accuracy and scientific nature of the determination of sensitive body parts. In combination with the first profile information, the user's clothing information can be analyzed to further improve the accuracy and feasibility of the analysis of the user's clothing information, which is conducive to improving the accuracy of air conditioning control and thus improving the user's comfort when using air conditioning.

[0182] In an optional embodiment, the aforementioned user clothing information includes at least one of clothing type information, clothing coverage location information, clothing thickness information, and clothing material information. The specific method by which the generation module 303 generates the air conditioning control parameters for the target space based on the user clothing information and spatial environment information includes:

[0183] Based on user clothing information, user attribute information, and obtained air conditioning usage information, the distribution range of the user's primary comfort zone is analyzed.

[0184] Based on the distribution range of the first comfort zone, at least one controlled area of ​​the target space is determined, and the controlled area is used to represent the area where the air conditioner directly acts on the target space.

[0185] Based on all controlled areas and air conditioning usage information, generate air conditioning control parameters for the target space.

[0186] As can be seen, implementing the embodiments of the present invention can analyze the user's clothing information based on the acquired user attribute information and the spatial environment information of the target space. Then, by combining the user attribute information and the acquired air conditioning usage demand information, it can analyze the distribution range of the user's first comfort zone and at least one controlled area of ​​the target space. Furthermore, by combining the acquired air conditioning usage demand information, it can generate air conditioning control parameters for the target space, thereby realizing the control of the air conditioning in the target space. Thus, by analyzing the user's clothing perception, the distribution range of the user's comfort zone, and the controlled area, and combining the air conditioning usage demand information, it can further improve the control accuracy of the air conditioning, thereby improving the user's comfort when using the air conditioning.

[0187] In this optional embodiment, as an optional implementation method, the specific way in which the generation module 303 analyzes the distribution range of the user's first comfort zone based on the user's clothing information, user attribute information, and obtained air conditioning usage demand information includes:

[0188] Based on user clothing information and user attribute information, analyze the distribution range of the user's second comfort zone.

[0189] Based on the obtained air conditioner usage demand information, user perception impact parameters are calculated. These parameters represent the degree of impact of air conditioner usage demand information on users.

[0190] Based on the user's perceived influence parameters and the distribution range of the second comfort zone, analyze the distribution range of the user's first comfort zone.

[0191] As can be seen, implementing this optional embodiment can analyze the distribution range of the user's second comfort zone based on the user's clothing information and user attribute information. Based on the obtained air conditioning usage demand information, it can calculate the user perception impact parameter to represent the degree of impact of the air conditioning usage demand information on the user. In this way, combined with the distribution range of the second comfort zone, it can analyze the distribution range of the user's first comfort zone, improve the accuracy of the analysis of the distribution range of the user's first comfort zone, and thus help improve the accuracy of the determination of the controlled area, improve the control accuracy of the air conditioning, and improve the user's comfort when using the air conditioning.

[0192] In this optional embodiment, as another optional implementation, the analysis module 302 described above is further used to analyze the user's actual health status information based on the user's clothing information and user attribute information before the generation module 303 calculates the user's perceived impact parameters based on the obtained air conditioning usage demand information.

[0193] The analysis module 302 is also used to analyze the user's air conditioning demand health fit value based on the actual health status information and the obtained air conditioning usage demand information. The air conditioning demand health fit value is used to represent the degree of health fit between the air conditioning usage demand information and the actual health status information.

[0194] And, such as Figure 5 As shown, the device may further include:

[0195] The judgment module 305 is used to determine whether the air conditioner demand health adaptation value is greater than or equal to the preset adaptation threshold. When it is determined that the air conditioner demand health adaptation value is greater than or equal to the preset adaptation threshold, the generation module 303 is triggered to perform the operation of calculating the user perception impact parameters based on the obtained air conditioner usage demand information.

[0196] The adjustment module 306 is used to adjust the air conditioner usage demand information based on the actual health status information when the judgment module 305 determines that the air conditioner demand health compatibility value is less than the preset compatibility threshold, and to re-trigger the analysis module 302 to analyze the user's air conditioner demand health compatibility value based on the actual health status information and the obtained air conditioner usage demand information; and the judgment module 305 performs the operation of judging whether the air conditioner demand health compatibility value is greater than or equal to the preset compatibility threshold.

[0197] As can be seen, implementing this optional embodiment can analyze the user's actual health status information based on each user attribute information and user clothing information in Embodiment 1. Then, combined with the obtained air conditioning usage demand information, it can analyze the air conditioning demand health fit value, which represents the degree of health fit between the user's air conditioning usage demand information and actual health status information. Thus, before calculating the user's perceived impact parameters based on the obtained air conditioning usage demand information, it can improve the accuracy of system intervention on air conditioning usage demand information. The purpose is to improve the user's air conditioning usage health on the basis of improving the user's air conditioning usage comfort, and prevent the occurrence of physical health problems caused by the user's blind use of air conditioning.

[0198] Example 4

[0199] Please see Figure 6 , Figure 6 This is a schematic diagram of another air conditioning control device based on user clothing perception disclosed in an embodiment of the present invention. This air conditioning control device based on user clothing perception can be applied to smart home devices, such as smart air conditioners, and can also be applied to smart devices associated with smart home devices, such as smart devices with electrical / electromagnetic / wireless communication connections with smart home devices. These smart devices include, but are not limited to, one or more of the following: cloud devices, NAS, edge computing devices, relay devices, base station devices, urban management devices, smart network devices, energy-saving devices, and security protection devices. The embodiments of the present invention do not impose limitations. Figure 6 As shown, the air conditioning control device based on user clothing perception may include:

[0200] Memory 401 that stores executable program code.

[0201] Processor 402 coupled to memory 401.

[0202] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the air conditioning control method based on user clothing perception described in Embodiment 1 or Embodiment 2 of the present invention.

[0203] Example 5

[0204] This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the air conditioning control method based on user clothing perception described in Embodiment 1 or Embodiment 2 of this invention.

[0205] Example 6

[0206] This 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 cause a computer to perform the steps in the air conditioning control method based on user clothing perception described in Embodiment 1 or Embodiment 2.

[0207] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0208] Through the detailed 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 necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0209] Finally, it should be noted that the air conditioning control method and device based on user clothing perception disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An air conditioning control method based on user clothing perception, characterized in that, The method includes: Obtain user attribute information and target space spatial environment information; Analyze the user's clothing information based on the user attribute information and the spatial environment information; Based on the user's clothing information and the spatial environment information, air conditioning control parameters for the target space are generated, and these air conditioning control parameters are used to control the air conditioning in the target space.

2. The air conditioning control method based on user clothing perception according to claim 1, characterized in that, The target space includes the user's first space and a second space associated with the first space. The spatial environment information includes at least one of spatial layout information, spatial humidity distribution information, spatial temperature distribution information, spatial particulate matter distribution information, spatial wind speed information, spatial electromagnetic wave information, and spatial light distribution information. The user attribute information includes at least one of user location information, user metabolic rate information, user demographic tag information, user dynamic information, user heart rate information, user blood pressure information, user blood oxygen information, user voice information, and user image information. The step of analyzing the user's clothing information based on the user attribute information and the spatial environment information includes: Based on the user attribute information and the spatial environment information, the first profile information of the user is determined, and the first profile information is used to represent the current state of each body part of the user; Based on the first portrait information, the sensory sensitivity information of each body part is analyzed, and the sensory sensitivity information is used to determine the degree of sensory stimulus response of the body part. Based on all the aforementioned perceptually sensitive information, analyze the user's clothing information.

3. The air conditioning control method based on user clothing perception according to claim 2, characterized in that, The step of analyzing the sensory sensitivity information of each body part based on the first portrait information includes: Based on the first image information and the spatial environment information, simulation control parameters are generated, which are used to simulate the control of the air conditioner in the target space; Based on the simulation control parameters and the first profile information, predict the user's vital sign change information, wherein the vital sign change information includes at least one of tremor response information, pain response information, and body color response information; Based on the vital sign change information and the first portrait information, a second portrait information is generated, and the second portrait information corresponds to the first portrait information; Based on the second portrait information and the first portrait information, analyze the sensory sensitivity information of each body part.

4. The air conditioning control method based on user clothing perception according to claim 2, characterized in that, The step of analyzing the user's clothing information based on all the perceived sensitive information includes: Based on all the said sensory sensitive information, at least one first sensitive body part is determined from all the said body parts; Based on all the first sensitive body parts and the first portrait information, analyze the user's clothing information; And, determining at least one first sensitive body part from all the body parts based on all the said sensory sensitive information includes: For each body part, according to a preset matching model, a first matching degree value is calculated between the perceptual sensitive information of the body part and the preset perceptual sensitive information corresponding to the body part; it is determined whether the first matching degree value is greater than or equal to the preset first matching degree threshold corresponding to the body part; when it is determined that the first matching degree value is greater than or equal to the preset first matching degree threshold corresponding to the body part, the body part is determined to be the first sensitive body part. Furthermore, the method further includes: When it is determined that all the first matching degree values ​​are less than the corresponding preset first matching degree threshold, then at least one second sensitive body part is determined from all the body parts, and the first matching degree value of the second sensitive body part is within the preset second matching degree threshold range. Based on all the second sensitive body parts and the first portrait information, the user's clothing information is analyzed.

5. The air conditioning control method based on user clothing perception according to any one of claims 1-4, characterized in that, The user clothing information includes at least one of clothing type information, clothing coverage location information, clothing thickness information, and clothing material information. The step of generating air conditioning control parameters for the target space based on the user clothing information and the spatial environment information includes: Based on the user's clothing information, user attribute information, and obtained air conditioning usage demand information, the distribution range of the user's first comfort zone is analyzed; Based on the distribution range of the first comfort zone, at least one controlled area of ​​the target space is determined, wherein the controlled area is used to represent the area where the air conditioner directly acts in the target space; Based on all the controlled areas and the air conditioning usage requirements, the air conditioning control parameters for the target space are generated.

6. The air conditioning control method based on user clothing perception according to claim 5, characterized in that, The step of analyzing the distribution range of the user's first comfort zone based on the user's clothing information, user attribute information, and obtained air conditioning usage demand information includes: Based on the user's clothing information and user attribute information, analyze the distribution range of the user's second comfort zone; Based on the obtained air conditioner usage demand information, a user perception impact parameter is calculated, which is used to represent the degree of impact of the air conditioner usage demand information on the user. Based on the user's perceived impact parameters and the distribution range of the second comfort zone, the distribution range of the user's first comfort zone is analyzed.

7. The air conditioning control method based on user clothing perception according to claim 6, characterized in that, Before calculating the user-perceived impact parameters based on the obtained air conditioning usage demand information, the method further includes: Analyze the user's actual health status information based on the user's clothing information and user attribute information; Based on the actual health status information and the obtained air conditioning usage demand information, the air conditioning demand health fit value of the user is analyzed. The air conditioning demand health fit value is used to represent the degree of health fit between the air conditioning usage demand information and the actual health status information. Determine whether the air conditioner demand health adaptation value is greater than or equal to a preset adaptation threshold. If it is determined that the air conditioner demand health adaptation value is greater than or equal to the preset adaptation threshold, then trigger the operation of calculating user perception impact parameters based on the obtained air conditioner usage demand information. When it is determined that the air conditioning demand health fit value is less than the preset fit threshold, the air conditioning usage demand information is adjusted according to the actual health status information, and the operation of analyzing the user's air conditioning demand health fit value based on the actual health status information and the obtained air conditioning usage demand information is re-triggered; and the operation of determining whether the air conditioning demand health fit value is greater than or equal to the preset fit threshold is determined.

8. An air conditioning control device based on user clothing perception, characterized in that, The device includes: The acquisition module is used to acquire user attribute information and spatial environment information of the target space; The analysis module is used to analyze the user's clothing information based on the user attribute information and the spatial environment information; The generation module is used to generate air conditioning control parameters for the target space based on the user's clothing information and the spatial environment information. The air conditioning control parameters are used to control the air conditioning in the target space.

9. An air conditioning control device based on user clothing perception, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the air conditioning control method based on user clothing perception as described in any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the air conditioning control method based on user clothing perception as described in any one of claims 1-7.

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