Method and device for controlling smart home equipment, smart home equipment and storage medium

Abstract

The invention relates to the technical field of smart home equipment, and discloses a method for controlling smart home equipment, and the smart home equipment comprises a target air conditioner. The method comprises the following steps: acquiring a home scene, indoor air environment information and season information; according to the indoor air environment information, the season information and the home scene, a first human body comfort degree deviation value is obtained; according to the season information, the home scene and the first human body comfort degree deviation value, operation parameters of the target air conditioner are determined; and triggering the target air conditioner to operate according to the operating parameters. According to the method, the adjusted indoor air environment can better meet the requirement of a user for the indoor air environment, and therefore the comfort degree of the user for the indoor air environment can be improved. The invention further discloses a device for controlling the smart home equipment, the smart home equipment and a storage medium.

Description

Technical Field

[0001] The present application relates to the technical field of smart home devices, for example, to a method and apparatus for controlling smart home devices, smart home devices, and storage media. Background Art

[0002] As living conditions improve, people's requirements for smart home devices are gradually increasing. In particular, people expect smart home devices to automatically adjust the indoor air environment so that they can obtain a high-quality living environment. At present, related technologies determine the operating parameters of the air conditioner based on the user's home scene, such as work scene, study scene or sports scene, and control the operation of the air conditioner accordingly, thereby adjusting the indoor air environment.

[0003] In the process of implementing the embodiments of the present disclosure, it is found that there are at least the following problems in the related art:

[0004] At present, the related technology only adjusts the indoor air environment according to the home scene where the user is located. This makes the adjusted indoor air environment unable to well meet the user's needs for the indoor air environment, resulting in a low degree of comfort for the user's indoor air environment.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present application, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0006] In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not an extensive review, nor is it intended to identify key / critical components or delineate the scope of protection of these embodiments, but rather serves as a prelude to the detailed description that follows.

[0007] The embodiments of the present disclosure provide a method and apparatus for controlling a smart home device, a smart home device, and a storage medium, so as to improve the user's comfort level with respect to the indoor air environment.

[0008] In some embodiments, the smart home device includes a target air conditioner; the method includes: obtaining a home scene, indoor air environment information and season information; obtaining a first human comfort deviation value based on the indoor air environment information, season information and home scene; determining operating parameters of the target air conditioner based on the season information, home scene and the first human comfort deviation value; triggering the target air conditioner to operate according to the operating parameters.

[0009] In some embodiments, the method of obtaining a home scene includes: obtaining the status of people in a first preset area; when the status of people in the first preset area is that there are people, determining a second preset area where the people are located and the posture information of the people; wherein the second preset area belongs to the first preset area; and determining the home scene based on the second preset area where the people are located and the posture information of the people.

[0010] In some embodiments, the obtaining of seasonal information includes: obtaining the current time and the geographic location of the target air conditioner; using the current time and the geographic location to perform a table lookup operation in a preset first data table to find out the seasonal information corresponding to the current time and the geographic location; wherein the first data table stores the correspondence between the current time and the geographic location and the seasonal information.

[0011] In some embodiments, obtaining a first human comfort deviation value based on indoor air environment information, season information and home scene includes: obtaining clothing thermal resistance based on season information, and obtaining metabolic rate based on home scene; obtaining a first human comfort deviation value based on indoor air environment information, clothing thermal resistance and metabolic rate.

[0012] In some embodiments, the operating parameters of the target air conditioner include an operating mode, a fresh air level, and a first target operating temperature; determining the operating parameters of the target air conditioner based on seasonal information, home scenes, and a first human comfort deviation value includes: determining the operating mode based on seasonal information, determining the fresh air level based on the home scene, and determining the first target operating temperature based on the first human comfort deviation value.

[0013] In some embodiments, determining the first target operating temperature according to the first human comfort deviation value includes: acquiring the current operating temperature of the target air conditioner; and determining the first target operating temperature according to the first human comfort deviation value and the current operating temperature.

[0014] In some embodiments, the smart home devices include smart curtains and smart lights; the method also includes: determining the target transmittance of the smart curtains and the target lighting parameters of the smart lights respectively according to the home scene; adjusting the transmittance of the smart curtains to the target transmittance, and adjusting the lighting parameters of the smart lights to the target lighting parameters.

[0015] In some embodiments, the apparatus includes: a processor and a memory storing program instructions, and the processor is configured to execute the method for controlling smart home devices as described above when running the program instructions.

[0016] In some embodiments, the smart home device includes: a smart home device body; and the device for controlling the smart home device as described above is installed in the smart home device body.

[0017] In some embodiments, the storage medium stores program instructions, and when the program instructions are run, they execute the method for controlling smart home devices as described above.

[0018] The method and apparatus for controlling smart home devices, smart home devices, and storage media provided by the embodiments of the present disclosure can achieve the following technical effects:

[0019] The first human comfort deviation value is obtained through indoor air environment information, season information and home scene, and then the operating parameters of the target air conditioner are jointly determined through season information, home scene and the first human comfort deviation value. Among them, the indoor air environment information and season information reflect the current environmental state. The first human comfort deviation value reflects the comfort of the user in the corresponding home scene under the current environmental state. In this way, when adjusting the indoor air environment, not only the home scene where the user is located is considered, but also the comfort of the user in the corresponding home scene under different environmental states is considered. The adjusted indoor air environment can better meet the user's needs for the indoor air environment, thereby improving the user's comfort with the indoor air environment.

[0020] The above general description and the following description are exemplary and explanatory only and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] One or more embodiments are exemplarily described by corresponding drawings, which do not limit the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements, and the drawings do not constitute a scale limitation, and wherein:

[0022] Figure 1 is a flow chart of a method for controlling smart home devices provided by an embodiment of the present disclosure;

[0023] Figure 2 is another flowchart of a method for controlling smart home devices provided by an embodiment of the present disclosure;

[0024] Figure 3 is another flowchart of a method for controlling smart home devices provided by an embodiment of the present disclosure;

[0025] Figure 4 is another flowchart of a method for controlling smart home devices provided by an embodiment of the present disclosure;

[0026] Figure 5 is another flowchart of a method for controlling smart home devices provided by an embodiment of the present disclosure;

[0027] Figure 6 is another flowchart of a method for controlling smart home devices provided by an embodiment of the present disclosure;

[0028] Figure 7 is another flowchart of a method for controlling smart home devices provided by an embodiment of the present disclosure;

[0029] Figure 8 is a schematic diagram of a device structure for controlling smart home devices provided by an embodiment of the present disclosure;

[0030] Fig. 9 It is a schematic diagram of a smart home device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0031] In order to be able to understand the features and technical contents of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.

[0032] The terms "first", "second", etc. in the specification and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the embodiments of the present disclosure described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0033] Unless otherwise stated, the term "plurality" means two or more.

[0034] In the embodiment of the present disclosure, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B indicates: A or B.

[0035] The term "and / or" is a description of the association relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or, A and B.

[0036] The term "correspondence" may refer to an association relationship or a binding relationship. The correspondence between A and B means that there is an association relationship or a binding relationship between A and B.

[0037] In the embodiments of the present disclosure, smart home devices refer to home appliances formed by introducing microprocessors, sensor technology, and network communication technology into home appliances, which have the characteristics of intelligent control, intelligent perception, and intelligent application. The operation process of smart home devices often relies on the application and processing of modern technologies such as the Internet of Things, the Internet, and electronic chips. For example, smart home devices can be connected to electronic devices to enable users to remotely control and manage smart home devices. In some embodiments, smart home devices include one or more of target air conditioners, smart curtains, and smart lights.

[0038] The method for controlling smart home devices provided in the embodiments of the present disclosure is applied to electronic devices. The electronic devices can communicate with the above smart home devices by connecting to the Internet, or can communicate with the above smart home devices directly through Bluetooth, WiFi, etc. In some embodiments, the electronic device is a computer or a server.

[0039] Combination Figure 1 As shown, the embodiment of the present disclosure provides a method for controlling a smart home device, wherein the smart home device includes a target air conditioner. The method for controlling the smart home device includes:

[0040] Step S101, the electronic device obtains home scene, indoor air environment information and season information.

[0041] Step S102: The electronic device obtains a first human comfort deviation value according to indoor air environment information, season information, and home scene.

[0042] Step S103: the electronic device determines the operating parameters of the target air conditioner according to the season information, the home scene and the first human comfort deviation value.

[0043] Step S104, triggering the target air conditioner to operate according to the operating parameters.

[0044] The method for controlling smart home devices provided by the embodiment of the present disclosure is adopted to obtain a first human comfort deviation value through indoor air environment information, season information and home scene, and then determine the operating parameters of the target air conditioner through season information, home scene and the first human comfort deviation value. Among them, the indoor air environment information and season information reflect the current environmental state. The first human comfort deviation value reflects the comfort of the user in the corresponding home scene under the current environmental state. In this way, when adjusting the indoor air environment, not only the home scene where the user is located is considered, but also the comfort of the user in the corresponding home scene under different environmental states is considered. The adjusted indoor air environment can better meet the user's needs for the indoor air environment, thereby improving the user's comfort with the indoor air environment.

[0045] In some embodiments, the target air conditioner is an air conditioner that can adjust the indoor air environment where the user is located.

[0046] Furthermore, the electronic device acquires a home scene, including: the electronic device acquires a person status in a first preset area. When the person status in the first preset area indicates that a person exists, a second preset area where the person is located and the person's posture information are determined. The second preset area belongs to the first preset area. The home scene is determined based on the second preset area where the person is located and the person's posture information.

[0047] In some embodiments, the first preset area includes multiple sub-areas. The second preset area is any sub-area in the first preset area. For example, the first preset area is the user's residential house, which includes multiple sub-areas such as a living room, a bedroom, and a kitchen. The second preset area is a living room, a bedroom, or a kitchen, etc. In different home scenes, the human body activity state will be different, that is, the posture information of the person will be different. In this way, by determining the status of the person in the first preset area, when there is a person in the first preset area, and then determining the second area where the person is located and the person's posture information, the home scene in the second preset area where the person is located can be more accurately determined.

[0048] Optionally, all second preset areas within the first preset area are provided with millimeter wave radar sensors, and each millimeter wave radar sensor establishes a communication connection with the electronic device. The electronic device obtains the status of personnel within the first preset area, including: the electronic device obtains the status of personnel in each second preset area within the first preset area through each millimeter wave radar sensor. When the status of personnel in all second preset areas is that there is no person, it is determined that the status of personnel in the first preset area is that there is no person. When the status of personnel in any second preset area is that there is a person, it is determined that the status of personnel in the first preset area is that there is a person.

[0049] Furthermore, the electronic device determines the second preset area where the person is located, including: when the millimeter wave radar sensor in any second preset area detects a person, determining the second preset area where the person is detected as the second preset area where the person is located. For example, the living room, bedroom, and gym are provided with millimeter wave radar sensors. When the millimeter wave radar sensor in the living room detects a person, the living room is determined as the second preset area where the person is located.

[0050] In some embodiments, the frequency band of the millimeter wave radar sensor is 60 GHz.

[0051] Furthermore, the electronic device determines the posture information of the person, including: the electronic device obtains a millimeter-wave radar imaging map of a second preset area where the person is located through a millimeter-wave radar sensor. The millimeter-wave radar imaging map is input into a preset first recognition model to obtain the posture of the person, and obtain the holding time of the posture of the person. The posture information of the person is determined according to the posture of the person and the corresponding holding time. In different home scenes, the holding time of the posture of the person is different, that is, the stability of the posture of the person is different. For example, when the home scene is a learning scene, the posture of the person is generally a sitting posture, and the holding time of the sitting posture is longer. When the home scene is a lying sleeping scene, the posture of the person is generally a lying posture, and the holding time of the lying posture is longer. In this way, the standard time is determined by the posture of the person, and the posture information of the person is determined according to the standard time and the posture of the person, so that the stability of the posture of the person can be determined more accurately, that is, the posture information of the person can be determined more accurately.

[0052] Further, the first recognition model is obtained by: inputting a first sample image containing a person into a preset convolutional neural network model for training to obtain the first recognition model. The first sample image has a first label. The first label represents the corresponding person posture. The person posture includes sitting, lying or standing.

[0053] Optionally, all second preset areas within the first preset area are provided with infrared sensors, and each infrared sensor establishes a communication connection with the electronic device. The electronic device obtains the status of people within the first preset area, including: the electronic device obtains the status of people within each second preset area within the first preset area through each infrared sensor. When the status of people in all second preset areas is that there is no person, it is determined that the status of people within the first preset area is that there is no person. When the status of people in any second preset area is that there is a person, it is determined that the status of people within the first preset area is that there is a person.

[0054] Further, the electronic device determines the second preset area where the person is located, including: when the infrared sensor in any second preset area detects the person, determining the second preset area where the person is detected as the second preset area where the person is located. For example, the living room, bedroom, and gym are provided with infrared sensors. When the infrared sensor in the living room detects the person, the living room is determined as the second preset area where the person is located.

[0055] Furthermore, all the second preset areas in the first preset area are provided with cameras. The electronic device determines the posture information of a person, including: the electronic device obtains an image of the second preset area where the person is located through a camera, and the image includes the person. The image is input into a preset second recognition model to obtain the posture of the person, and the holding time of the posture of the person is obtained. The posture information of the person is determined according to the posture of the person and the corresponding holding time. In different home scenes, the holding time of the posture of the person is different, that is, the stability of the posture of the person is different. For example, when the home scene is a learning scene, the posture of the person is generally a sitting posture, and the holding time of the sitting posture is longer. When the home scene is a lying sleeping scene, the posture of the person is generally a lying posture, and the holding time of the lying posture is longer. In this way, by determining the standard time according to the posture of the person, and determining the posture information of the person according to the standard time and the posture of the person, the stability of the posture of the person can be determined more accurately, that is, the posture information of the person can be determined more accurately.

[0056] Furthermore, the second recognition model is obtained by: inputting a second sample image containing a person into a preset convolutional neural network model for training to obtain the second recognition model. The second sample image has a second label. The second label represents the corresponding person posture. The person posture includes sitting, lying or standing.

[0057] Further, the electronic device determines the posture information of the person according to the posture of the person and the corresponding holding time, including: determining the corresponding standard time according to the posture of the person. When the holding time of the posture of the person is greater than or equal to the corresponding standard time, the posture of the person is determined as the posture information of the person.

[0058] For example, the posture of the person is sitting, and the holding time is 5 minutes. When the posture of the person is sitting, the corresponding standard time is determined to be 2 minutes. Since the holding time when the posture of the person is sitting is greater than the corresponding standard time, the sitting posture is determined as the posture information of the person.

[0059] Furthermore, the electronic device determines the corresponding standard duration according to the posture of the person, including: the electronic device uses the posture of the person to perform a table lookup operation in a preset second data table to find the standard duration corresponding to the posture of the person. The preset second data table stores the correspondence between the posture of the person and the standard duration. The home scene is generally a scene that lasts for a long time, and the user's posture is relatively stable at this time. For example, when the home scene is a learning scene, the user's posture will remain in a sitting position for a long time. In different home scenes, the length of time that the user's posture remains unchanged will also be different. In this way, by determining the standard duration according to the posture of the person, the stability of the posture of the person can be more accurately determined, and thus the posture information of the person can be more accurately determined.

[0060] In some embodiments, Table 1 is an example table of the second data table. As shown in Table 1, when the person's posture is a sitting posture, the corresponding standard duration is 2 minutes. When the person's posture is a lying posture, the corresponding standard duration is 5 minutes. When the person's posture is a standing posture, the corresponding standard duration is 5 minutes.

[0061] Table 1

[0062] Personnel posture Standard duration Sitting 2 minutes Lying position 5 minutes Standing 5 minutes

[0063] Furthermore, the electronic device determines the home scene according to the second preset area where the person is located and the posture information of the person, including: performing a table lookup operation in a preset third data table using the second preset area where the person is located and the posture information of the person. Find out the home scene corresponding to the second preset area where the person is located and the posture information of the person. The preset third data table stores the correspondence between the second preset area where the person is located and the posture information of the person and the home scene.

[0064] In some embodiments, Table 2 is an example table of the third data table. As shown in Table 2, when the second preset area where the person is located is the living room, and the posture information is a lying position, the corresponding home scene is determined to be a lying sleeping scene. When the second preset area where the person is located is the living room, and the posture information is other postures or sitting postures, the corresponding home scene is determined to be a resting scene. When the second preset area where the person is located is the living room, and the posture information is a standing posture, the corresponding home scene is determined to be a housework scene. When the second preset area where the person is located is the study, and the posture information is a sitting posture, the corresponding home scene is determined to be a work scene, a study scene, or an entertainment scene. When the second preset area where the person is located is the study, and the posture information is a lying position, the corresponding home scene is determined to be a lying sleeping scene. When the second preset area where the person is located is the dining room, and the posture information is a sitting position, the corresponding home scene is determined to be a dining scene. When the second preset area where the person is located is the dining room, and the posture information is a standing posture or other postures, the corresponding home scene is determined to be a housework scene.

[0065] Table 2

[0066]

[0067] Further, the indoor air environment information represents the indoor environment temperature and indoor air flow rate of the target air conditioner. The electronic device obtains the indoor air environment information, including: the electronic device obtains the indoor environment temperature and indoor air flow rate of the target air conditioner.

[0068] In some embodiments, an air conditioner is provided in the first preset area. The air conditioner is used to adjust the air environment of all second preset areas in the first preset area. The electronic device obtains the indoor environment temperature and indoor air flow rate of the location where the target air conditioner is located, including: the electronic device determines the air conditioner provided in the first preset area as the target air conditioner. The indoor environment temperature and indoor air flow rate of the location where the target air conditioner is located are obtained.

[0069] In other embodiments, a plurality of air conditioners are arranged in the first preset area, and each air conditioner is arranged in each second preset area in the first preset area. Each air conditioner is used to adjust the air environment in the corresponding second preset area. The electronic device obtains the indoor environment temperature and indoor air flow rate of the location where the target air conditioner is located, including: the electronic device determines the air conditioner in the second preset area where the person is located as the target air conditioner, and obtains the indoor environment temperature and indoor air flow rate of the location where the target air conditioner is located.

[0070] Furthermore, each air conditioner is provided with a temperature sensor for detecting the indoor ambient temperature of the corresponding air conditioner. The electronic device obtains the indoor ambient temperature of the target air conditioner, including: the electronic device obtains the indoor ambient temperature of the target air conditioner through the target air conditioner.

[0071] Optionally, each air conditioner is provided with a wind speed sensor, which is used to detect the indoor air flow rate of the corresponding air conditioner. The electronic device obtains the indoor air flow rate of the target air conditioner, including: the electronic device obtains the indoor air flow rate of the target air conditioner through the wind speed sensor.

[0072] Optionally, the electronic device acquires the indoor air flow rate at the location of the target air conditioner, including: the electronic device determines a preset wind speed as the indoor air flow rate at the location of the target air conditioner. In some embodiments, the preset wind speed is 0.3 m / s.

[0073] Furthermore, the electronic device obtains season information, including: the electronic device obtains the current time and the geographical location of the target air conditioner. The current time and the geographical location are used to perform a table lookup operation in a preset first data table to find out the season information corresponding to the current time and the geographical location. The first data table stores the corresponding relationship between the current time and the geographical location and the season information. The first data table stores the corresponding relationship between the current time and the geographical location and the season information. There are large differences in the season information of different geographical locations. For example, when the current time is April, the season information of Heilongjiang is winter, and the season information of Chongqing is spring. Therefore, the season information of the user's living environment can be more accurately determined by the current time and the geographical location of the target air conditioner.

[0074] Further, the current time and the geographical location of the target air conditioner are obtained by networking. In some embodiments, the current time is a month.

[0075] In some embodiments, Table 3 is an example table of the first data table. As shown in Table 3, when the geographical location of the air conditioner is Heilongjiang, the current time is from January to April and from October to December, and the corresponding season information is winter; when the current time is May and June, the corresponding season information is spring; when the current time is July and August, the corresponding season information is summer; when the current time is September, the corresponding season information is autumn. When the geographical location of the air conditioner is Shanxi, Beijing and Tianjin, the current time is from January to March, November and December, the corresponding season information is winter; when the current time is April and May, the corresponding season information is spring; when the current time is from June to September, the corresponding season information is summer; when the current time is October, the corresponding season information is autumn. When the geographical location is Hainan, the current time is from January to February, the corresponding season information is spring; when the current time is from March to October, the corresponding season information is summer; when the current time is from November to December, the corresponding season information is autumn.

[0076] Table 3

[0077]

[0078] Further, the electronic device obtains a first human comfort deviation value according to the indoor air environment information, the season information and the home scene, including: the electronic device obtains the clothing thermal resistance according to the season information, and obtains the metabolic rate according to the home scene. The first human comfort deviation value is obtained according to the indoor air environment information, the clothing thermal resistance and the metabolic rate.

[0079] The first human body comfort deviation value represents the user's comfort when the corresponding home scene occurs under the current environmental state. Because the first human body comfort deviation value is affected by clothing thermal resistance, metabolic rate and indoor air environment information. However, the user's clothing is greatly affected by seasonal information. The metabolic rate is the energy metabolism of the human body, and the metabolic rate of the human body is different in different home scenes. Therefore, the clothing thermal resistance is obtained through seasonal information, and the metabolic rate is obtained through home scenes. Then, the first human body comfort deviation value is obtained based on the indoor air environment information, clothing thermal resistance and metabolic rate. The user comfort associated with the environmental state of the user's location and the home scene that occurs can be obtained.

[0080] Combination Figure 2 As shown, the embodiment of the present disclosure provides a method for controlling a smart home device, wherein the smart home device includes a target air conditioner. The method for controlling the smart home device includes:

[0081] Step S201, the electronic device obtains home scene, indoor air environment information and season information.

[0082] Step S202: The electronic device obtains clothing thermal resistance according to season information, and obtains metabolic rate according to home scene.

[0083] Step S203: the electronic device obtains a first human comfort deviation value according to the indoor air environment information, clothing thermal resistance and metabolic rate.

[0084] Step S204: the electronic device determines the operating parameters of the target air conditioner according to the season information, the home scene and the first human comfort deviation value.

[0085] Step S205, triggering the target air conditioner to operate according to the operating parameters.

[0086] Furthermore, the electronic device obtains the clothing thermal resistance according to the season information, including: the electronic device uses the season information to perform a table lookup operation in a preset fourth data table to find the clothing thermal resistance corresponding to the season information. The preset fourth data table stores the correspondence between the season information and the clothing thermal resistance. For example, when the season information is spring, the corresponding clothing thermal resistance is 0.105m 2 K / W. The season information is summer time, and the corresponding clothing thermal resistance is 0.07m 2 K / W. When the season information is autumn, the corresponding clothing thermal resistance is 0.155m 2 K / W. The season information is winter, and the corresponding clothing thermal resistance is 0.23m 2 K / W.

[0087] Further, the electronic device obtains the metabolic rate according to the home scene, including: the electronic device uses the home scene to perform a table lookup operation in a preset fifth data table to find the metabolic rate corresponding to the home scene. The preset fifth data table stores the correspondence between the home scene and the metabolic rate. For example, when the home scene is a lying down sleeping scene, the corresponding metabolic rate is 45w / m 2 When the home scene is a rest scene, work scene, study scene or entertainment scene, the corresponding metabolic rate is 70w / m 2 When the home scene is a dining scene, the corresponding metabolic rate is 80w / m 2 When the home scene is housework, the corresponding metabolic rate is 115w / m 2 .

[0088] Furthermore, the electronic device obtains a first human comfort deviation value according to the indoor air environment information, clothing thermal resistance and metabolic rate, including: obtaining water vapor partial pressure according to the indoor environment temperature. Obtaining clothing surface area coefficient according to clothing thermal resistance. Obtaining clothing surface temperature according to the indoor environment temperature and clothing thermal resistance. Obtaining convective heat transfer coefficient according to the indoor air flow rate and clothing surface temperature. Inputting the indoor environment temperature, water vapor partial pressure, clothing surface area coefficient, clothing surface temperature, convective heat transfer coefficient and metabolic rate into a PMV (Predicted Mean Vote) model for processing to obtain a first human comfort deviation value.

[0089] Further, the water vapor partial pressure is obtained according to the indoor ambient temperature, including: by calculating Obtain the water vapor partial pressure. Where, P a is the water vapor partial pressure, t a is the indoor ambient temperature.

[0090] Further, the clothing surface area coefficient is obtained according to the clothing thermal resistance, including: cl ≤0.078, by calculating f cl =1.0+1.290I cl , obtain the clothing surface area coefficient; in I cl >0.078, by calculating f cl =1.05+0.645I cl , and obtain the clothing surface area coefficient. Among them, f cl is the clothing surface area coefficient, I cl is the thermal resistance of clothing.

[0091] Further, the clothing surface temperature is obtained according to the indoor ambient temperature and the clothing thermal resistance, including: by calculating t cl =35.7-0.028MI cl ·[3.96×10- 8 f cl ×{(t cl +273) 4 -(t a +273) 4}+f cl h c (t cl -t a )], and obtain the clothing surface temperature. Among them, t cl is the clothing surface temperature, h c is the convective heat transfer coefficient.

[0092] Further, the convection heat transfer coefficient is obtained according to the indoor air flow rate and the clothing surface temperature, including: by calculating Obtain the convective heat transfer coefficient. Where v is the indoor air velocity.

[0093] Further, the indoor environment temperature, water vapor partial pressure, clothing surface area coefficient, clothing surface temperature, convection heat transfer coefficient and metabolic rate are input into the PMV (Predicted Mean Vote) model for processing to obtain the first human comfort deviation value, including: by calculating

[0094] PMV=(0.303e -0.036M +0.033){M-3.05×10 -3 ×[5733-6.99MP a ]-0.42×[(MW)-58.15]-1.7×10 -5 M(5867-P a )-0.0014M(34-t a )-3.96×10 -8 f cl ×[(t cl +273) 4 -(t a +273) 4 ]-f cl h c (t cl -t a )}-0.227, and obtain the first human body comfort deviation value. Wherein, PMV is the first human body comfort deviation value, e is the natural constant 2.718281828459045, M is the metabolic rate, and W is the external mechanical work. In some embodiments, W is generally 0.

[0095] Further, the operating parameters of the target air conditioner include an operating mode, a fresh air level, and a first target operating temperature. The electronic device determines the operating parameters of the target air conditioner according to the season information, the home scene, and the first human comfort deviation value, including: the electronic device determines the operating mode according to the season information, determines the fresh air level according to the home scene, and determines the first target operating temperature according to the first human comfort deviation value.

[0096] When the season information is different, the user's demand for the air conditioner is also different. For example, when the season information is summer, the user's demand for the air conditioner is cooling. When the season information is winter, the user's demand for the air conditioner is heating. When the user has a home scene, the carbon dioxide concentration in the second preset area where the person is located will change, thereby affecting the indoor air environment in the second preset area. In addition, the first human comfort deviation value can reflect the user's comfort when in the corresponding home scene under the current environmental state. Therefore, by determining the operation mode through the season information, the air conditioner operation mode that meets the user's needs can be obtained. The fresh air gear is determined by the home scene, so that the fresh air function of the air conditioner is used to introduce outdoor fresh air into the room to improve the freshness of the indoor air environment. The target operating temperature is determined by the first human comfort deviation value, and the indoor ambient temperature can be adjusted to make the indoor ambient temperature more suitable for the user's needs. In this way, the operating parameters of the target air conditioner are determined from three aspects: the air conditioner operation mode, improving the freshness of the indoor air environment, and making the indoor ambient temperature more suitable for the user's needs, so that the target air conditioner adjusts the indoor air environment. The adjusted indoor air environment can better meet the user's needs for the indoor air environment, thereby improving the user's comfort level for the indoor air environment.

[0097] Combination Figure 3 As shown, the embodiment of the present disclosure provides a method for controlling a smart home device, wherein the smart home device includes a target air conditioner. The method for controlling the smart home device includes:

[0098] Step S301, the electronic device obtains home scene, indoor air environment information and season information.

[0099] Step S302: The electronic device obtains a first human comfort deviation value according to indoor air environment information, season information, and home scene.

[0100] Step S303: The electronic device determines an operating mode according to season information, determines a fresh air level according to a home scene, and determines a first target operating temperature according to a first human comfort deviation value.

[0101] Step S304, triggering the target air conditioner to operate according to the determined operation mode, fresh air level and first target temperature.

[0102] Furthermore, the electronic device determines the operation mode according to the season information, including: the electronic device uses the season information to perform a table lookup operation in a preset fourth data table to find the operation mode corresponding to the season information. The preset fourth data table stores the correspondence between the season information and the operation mode. For example, when the season information is spring or autumn, the corresponding operation mode is the smart mode. When the season information is summer, the corresponding operation mode is the cooling mode. When the season information is winter, the corresponding operation mode is the heating mode.

[0103] Further, the electronic device determines the fresh air gear according to the home scene, including: the electronic device determines the change of carbon dioxide concentration in the second preset area where the person is located according to the home scene, and determines the fresh air gear according to the change of carbon dioxide concentration.

[0104] Furthermore, the electronic device determines the change in carbon dioxide concentration in the second preset area where the person is located based on the home scene, including: the electronic device uses the home scene to perform a table lookup operation in the preset sixth data table to find the change in carbon dioxide concentration corresponding to the home scene. The preset sixth data table stores the correspondence between the home scene and the change in carbon dioxide concentration. For example, when the home scene is a resting scene, the corresponding change in carbon dioxide concentration is 0.045%. When the home scene is a lying down sleeping scene, the corresponding change in carbon dioxide concentration is 0.06%. When the home scene is a learning scene, a working scene or an entertainment scene, the corresponding change in carbon dioxide concentration is 0.18%. When the home scene is a running scene, the corresponding change in carbon dioxide concentration is 0.36%.

[0105] Furthermore, the electronic device determines the fresh air gear according to the change of carbon dioxide concentration, including: the electronic device determines the air freshness of the second preset area where the personnel are located according to the change of carbon dioxide concentration. When the air freshness is excellent, the fresh air gear is determined to be a low wind gear. When the air freshness is good, the fresh air gear is determined to be a medium wind gear. When the air freshness is poor, the fresh air gear is determined to be a high wind gear. The air freshness characterizes the freshness of the indoor air. In this way, by determining the fresh air gear according to the air freshness, the speed of introducing outdoor fresh air into the room can be controlled, that is, the amount of fresh air in the room can be controlled. This can timely improve the freshness of the indoor air environment. Thereby, the user's comfort with the indoor air environment can be improved.

[0106] In some embodiments, when the fresh air gear is at the low wind gear, the corresponding fresh air volume is less than 30m 3 / h. When the fresh air gear is in the medium wind gear, the corresponding fresh air volume is greater than or equal to 30m 3 / h, and less than or equal to 100m 3 / h. When the fresh air gear is at low wind gear, the corresponding fresh air volume is greater than 100m3 / h.

[0107] Furthermore, the electronic device determines the air freshness of the second preset area where the person is located based on the change in carbon dioxide concentration, including: the electronic device uses the change in carbon dioxide concentration to perform a table lookup operation in the preset seventh data table to find the air freshness corresponding to the change in carbon dioxide concentration. The preset seventh data table stores the correspondence between the change in carbon dioxide concentration and the air freshness. For example, when the change in carbon dioxide concentration is ≤0.08%, it is determined that the air freshness of the second preset area where the person is located is excellent. When 0.08%<carbon dioxide concentration change≤0.1%, it is determined that the air freshness of the second preset area where the person is located is good. When the change in carbon dioxide concentration is >0.1%, it is determined that the air freshness of the second preset area where the person is located is poor.

[0108] Furthermore, the electronic device determines the first target operating temperature according to the first human comfort deviation value, including: the electronic device obtains the current operating temperature of the target air conditioner. According to the first human comfort deviation value and the current operating temperature, the first target operating temperature is determined. In this way, the target operating temperature is determined according to the user's comfort and the current operating temperature, and the indoor environment temperature can be adjusted to a temperature suitable for the user, thereby meeting the user's demand for the indoor air environment. So as to improve the user's comfort for the indoor air environment.

[0109] Combination Figure 4 As shown, the embodiment of the present disclosure provides a method for controlling a smart home device, wherein the smart home device includes a target air conditioner. The method for controlling the smart home device includes:

[0110] Step S401, the electronic device obtains home scene, indoor air environment information and season information.

[0111] Step S402: The electronic device obtains a first human comfort deviation value according to indoor air environment information, season information, and home scene.

[0112] Step S403: the electronic device determines the operation mode according to the season information, determines the fresh air level according to the home scene, and obtains the current operating temperature of the target air conditioner.

[0113] Step S404: the electronic device determines a first target operating temperature according to the first human comfort deviation value and the current operating temperature.

[0114] Step S405, triggering the target air conditioner to operate according to the determined operation mode, fresh air level and first target temperature.

[0115] Furthermore, the electronic device determines the first target operating temperature according to the first human comfort deviation value and the current operating temperature, including: when the first human comfort deviation value is greater than or equal to the first preset value and less than or equal to the second preset value, the electronic device determines the current operating temperature as the first target operating temperature. When the first human comfort deviation value is less than the first preset value, the current operating temperature is increased by a third preset value to obtain the first target operating temperature. When the first human comfort deviation value is greater than the second preset value, the current operating temperature is decreased by a third preset value to obtain the first target operating temperature. In some embodiments, the first preset value is -0.5, the second preset value is 0.5, and the third preset value is 1°C.

[0116] Optionally, after the target air conditioner is triggered to operate according to the operating parameters, the method further includes: the electronic device reacquires the home scene, indoor air environment information and season information after the first preset time. A second human comfort deviation value is acquired based on the reacquired home scene, indoor air environment information and season information. A second target operating temperature is determined based on the second human comfort deviation value, and the air conditioner is triggered to operate according to the second target operating temperature.

[0117] After the target air conditioner is operated according to the operating parameters, the indoor air environment information will change, thereby affecting the user's human comfort deviation value. In this way, after the target air conditioner is operated according to the operating parameters for a first preset time, a second human comfort deviation value is obtained, and the second target operating temperature is determined according to the second human comfort deviation value. The indoor ambient temperature can be gradually adjusted according to the user's comfort in the current environmental state, so as to gradually adjust the indoor ambient temperature and improve the user's experience of using the air conditioner. In some embodiments, the first preset time is 10 minutes, 15 minutes, or 25 minutes, etc.

[0118] Combination Figure 5 As shown, the embodiment of the present disclosure provides a method for controlling a smart home device, wherein the smart home device includes a target air conditioner. The method for controlling the smart home device includes:

[0119] Step S501: The electronic device obtains home scene, indoor air environment information and season information.

[0120] Step S502: The electronic device obtains a first human comfort deviation value according to indoor air environment information, season information, and home scene.

[0121] Step S503: The electronic device determines the operating parameters of the target air conditioner according to the season information, the home scene and the first human comfort deviation value.

[0122] Step S504, triggering the target air conditioner to operate according to the operating parameters.

[0123] Step S505: After the first preset time period, the electronic device obtains the home scene, indoor air environment information and season information again.

[0124] Step S506: The electronic device obtains a second human comfort deviation value according to the home scene, indoor air environment information and season information obtained again.

[0125] Step S507: The electronic device determines a second target operating temperature according to the second human comfort deviation value.

[0126] Step S508, triggering the target air conditioner to operate according to the second target operating temperature, and returning to step S505.

[0127] In this way, the second target operating temperature of the air conditioner is gradually adjusted by the second human comfort deviation value, so that the indoor environment temperature gradually approaches the temperature most suitable for the user, thereby avoiding discomfort to the user due to a large single adjustment of the indoor environment temperature.

[0128] Furthermore, after triggering the target air conditioner to operate according to the operating parameters, it also includes: the electronic device determines the fresh air gear according to the home scene at intervals of a second preset time. Since the home scene may change frequently, but in a short period of time, the change in the carbon dioxide concentration in the second preset area where the indoor personnel are located will not change significantly. Therefore, by determining the fresh air gear according to the home scene at intervals of a second preset time, the fresh air gear can be adjusted in a timely manner to meet the user's demand for outdoor fresh air. It is also possible to reduce the frequency of changes in the fresh air gear to save electricity. In some embodiments, the second preset time is 30 minutes, 45 minutes, or 60 minutes, etc.

[0129] Furthermore, after the target air conditioner is triggered to operate according to the operating parameters, it also includes: the electronic device determines the operating mode according to the season information at intervals of a third preset time. Since the frequency of seasonal information changes is slow, it generally changes once every three months. Therefore, by determining the operating mode according to the seasonal information at intervals of the third preset time, it is possible to adjust the operating mode of the target air conditioner in a timely manner, and it is also possible to reduce the number of times the operating mode is determined, so as to reduce the amount of calculation and improve the response speed of the target air conditioner. In some embodiments, the third preset time is one day, one week, one month, etc.

[0130] Optionally, after triggering the target air conditioner to operate according to the operating parameters, the method further includes: the electronic device redetermines the operating parameters of the air conditioner after a first preset time period, and triggers the air conditioner to operate according to the redetermined operating parameters.

[0131] After the target air conditioner operates according to the operating parameters, the indoor air environment information will change, thereby affecting the user's human comfort deviation value. At the same time, the home scene and season information may also change, resulting in changes in the operating mode and fresh air gear of the target air conditioner. In this way, after the target air conditioner runs for the first preset time according to the operating parameters, the operating parameters of the target air conditioner are re-determined. The fresh air gear, operating mode and second target operating temperature of the target air conditioner can be adjusted accordingly in time so that the adjusted indoor air environment can meet the needs of the user. Thereby improving the user's experience of using the air conditioner. In some embodiments, the first preset time is 10 minutes, 15 minutes or 25 minutes, etc.

[0132] Combination Figure 6 As shown, the embodiment of the present disclosure provides a method for controlling a smart home device, wherein the smart home device includes a target air conditioner. The method for controlling the smart home device includes:

[0133] Step S601: The electronic device obtains home scene, indoor air environment information and season information.

[0134] Step S602: The electronic device obtains a first human comfort deviation value according to indoor air environment information, season information, and home scene.

[0135] Step S603: The electronic device determines the operating parameters of the target air conditioner according to the season information, the home scene and the first human comfort deviation value.

[0136] Step S604, after triggering the target air conditioner to operate for a first preset time according to the operating parameters, the process returns to step S601.

[0137] Furthermore, the method for controlling smart home devices also includes: the electronic device determines the relative position of the person. The relative position represents the position of the person relative to the target air conditioner. The wind direction of the target air conditioner is determined according to the relative position of the person to avoid the wind direction being toward the person. In this way, the wind direction of the target air conditioner is determined according to the relative position of the person relative to the target air conditioner, thereby avoiding the wind direction being toward the person and causing discomfort. For example, the relative position includes the front, the left side, and the right side, etc. The wind direction of the target air conditioner includes upward, downward, left, and right, etc.

[0138] In some embodiments, when the relative position is the left side, the wind direction of the target air conditioner is toward the right. When the relative position is the front, the wind direction of the target air conditioner is toward the top.

[0139] Furthermore, the electronic device determines the relative position of the person, including: the electronic device obtains an image containing the person in a second preset area where the person is located, and inputs the image containing the person into a preset third recognition model to obtain the relative position of the person.

[0140] Further, the third recognition model is obtained by: inputting a third sample image including a person into a preset convolutional neural network model for training to obtain the third recognition model. The third sample image has a third label. The third label represents the corresponding relative position. The relative position includes the front, the left side and the right side.

[0141] Furthermore, the electronic device determines the wind direction of the target air conditioner according to the position of the person to avoid the wind direction facing the person, including: when the home scene is any one of a lying down sleeping scene, a resting scene, a working scene, and a learning scene, the electronic device determines the wind direction of the target air conditioner according to the relative position of the person to avoid the wind direction facing the person. When the home scene is any one of a lying down sleeping scene, a resting scene, a working scene, and a learning scene, the user's metabolic rate is low. At this time, the wind direction of the air conditioner is controlled to avoid facing the relative position of the person to avoid causing discomfort to the user.

[0142] Furthermore, the smart home device includes a smart curtain and a smart light. The method for controlling the smart home device also includes: the electronic device determines the target light transmittance of the smart curtain and the target light parameter of the smart light respectively according to the home scene, adjusts the light transmittance of the smart curtain to the target light transmittance, and adjusts the light parameter of the smart light to the target light parameter.

[0143] A high-quality living environment is an environment that is suitable for the user's life. This environment includes not only an indoor air environment with a high degree of user comfort, but also an environment brightness that is suitable for the user's life. Among them, the user's demand for environmental brightness varies in different home scenes. For example, when the home scene is a work scene, a study scene, or an entertainment scene, the user needs a brighter environmental brightness. When the home scene is a lying sleep scene, the user needs a darker environmental brightness. In this way, the target light transmittance of the smart curtains and the target lighting parameters of the smart lights are determined according to the user's home scene, and the ambient brightness can be adjusted by using daylighting and lighting. The adjusted ambient brightness can meet the user's needs in the current home scene.

[0144] Combination Figure 7 As shown, the embodiment of the present disclosure provides a method for controlling a smart home device, wherein the smart home device includes a target air conditioner, a smart curtain, and a smart light. The method for controlling the smart home device includes:

[0145] Step S701, the electronic device obtains home scene, indoor air environment information and season information.

[0146] Step S702: The electronic device obtains a first human comfort deviation value according to indoor air environment information, season information, and home scene.

[0147] Step S703: The electronic device determines the operating parameters of the target air conditioner according to the season information, the home scene and the first human comfort deviation value.

[0148] Step S704, triggering the target air conditioner to operate according to the operating parameters.

[0149] Step S705: The electronic device determines the target light transmittance of the smart curtains and the target lighting parameters of the smart lights according to the home scene.

[0150] In step S706, the electronic device adjusts the light transmittance of the smart curtain to the target light transmittance, and adjusts the lighting parameters of the smart lamp to the target lighting parameters.

[0151] In real life, the transformation of home scenes is mostly disorderly and rapid. If the air conditioner, smart curtains and smart lights are adjusted manually, it will not only be cumbersome, but often cannot be adjusted in time. This will cause discomfort to the user in terms of both physical and visual aspects. For example, in summer, users may want to take a nap after watching a movie for a while. At this time, the user may catch a cold because of forgetting to adjust the air conditioner; and because of forgetting to adjust the smart curtains and smart lights, the ambient brightness is large, making it difficult for the user to fall asleep. Therefore, the user's current comfort and current environmental status are determined based on the home scene, indoor air environment information and seasonal information. Then adjust the operating parameters of the air conditioner, the transmittance of the smart curtains and the lighting parameters of the smart lights, so that the user's location can be adjusted to an environmental atmosphere suitable for the user's life in a timely manner.

[0152] Furthermore, the electronic device determines the target lighting parameters according to the home scene, including: the electronic device uses the home scene to perform a table lookup operation in a preset eighth data table to find out the target light transmittance of the smart curtain and the target lighting parameters of the smart lamp corresponding to the home scene. The preset eighth data table stores the correspondence between the target light transmittance of the smart curtain and the target lighting parameters of the smart lamp and the home scene.

[0153] In some embodiments, C1 is transmittance, L is brightness, and C2 is color temperature. When the home scene is a learning scene or a working scene, the target transmittance of the smart curtains is C1≥50%, and the target lighting parameters of the smart lights are L≥80% and C2≥3500K. When the home scene is a lying down sleeping scene, the target transmittance of the smart curtains is C1<10%, and the target lighting parameters of the smart lights are L<20% and C2<1500K. When the home scene is a dining scene, the target transmittance of the smart curtains is 10%<C1<50%, and the target lighting parameters of the smart lights are 50%<L<80% and 1500K<C2<3500K.

[0154] Combination Figure 8As shown, the embodiment of the present disclosure provides a device 100 for controlling smart home devices, including a processor 101 and a memory 102. Optionally, the device may also include a communication interface 103 and a bus 104. The processor 101, the communication interface 103, and the memory 102 may communicate with each other through the bus 104. The communication interface 103 may be used for information transmission. The processor 101 may call the logic instructions in the memory 102 to execute the method for controlling smart home devices of the above embodiment.

[0155] In addition, the logic instructions in the memory 102 described above may be implemented in the form of software functional units and when sold or used as independent products, may be stored in a computer-readable storage medium.

[0156] The memory 102 is a computer-readable storage medium that can be used to store software programs and computer executable programs, such as program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 101 executes the function application and data processing by running the program instructions / modules stored in the memory 102, that is, the method for controlling the smart home device in the above embodiment is implemented.

[0157] The memory 102 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 102 may include a high-speed random access memory 102 and may also include a non-volatile memory 102.

[0158] Combination Fig. 9 As shown, an embodiment of the present disclosure provides a smart home device 200, including: a smart home device body. For example, the smart home device is a target air conditioner. And the above-mentioned device 100 for the smart home device. The device 100 for controlling the smart home device is installed in the smart home device body. The installation relationship described here is not limited to placement inside the smart home device, but also includes installation connections with other components of the smart home device, including but not limited to physical connections, electrical connections or signal transmission connections, etc. Those skilled in the art can understand that the device 100 for controlling the smart home device can be adapted to a feasible smart home device body, thereby realizing other feasible embodiments.

[0159] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the above-mentioned method for controlling smart home devices.

[0160] The computer-readable storage medium mentioned above may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0161] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiment of the present disclosure. The aforementioned storage medium may be a non-transient storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes, or a transient storage medium.

[0162] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent only possible changes. Unless explicitly required, separate components and functions are optional, and the order of operation may vary. The parts and features of some embodiments may be included in or replace the parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates, the singular forms of "a", "an" and "the" are intended to include plural forms as well. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of listings containing one or more associated ones. In addition, when used in the present application, the term "comprise" and its variants "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the presence of other identical elements in the process, method or device comprising the elements. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments may refer to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can refer to the description of the method part.

[0163] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. The technicians may use different methods for each specific application to implement the described functions, but such implementations should not be considered to exceed the scope of the embodiments of the present disclosure. The technicians may clearly understand that, for the convenience and simplicity of description, the specific working scenario processes of the systems, devices and units described above may refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0164] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units can be only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to implement this embodiment. In addition, each functional unit in the embodiment of the present disclosure may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.

[0165] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for controlling a smart home device, characterized in that: The smart home device includes a target air conditioner; the method includes: Obtain home scenes, indoor air environment information and season information; Obtaining a first human comfort deviation value according to indoor air environment information, season information, and home scene; Determine the operating parameters of the target air conditioner according to the season information, the home scene and the first human comfort deviation value; The target air conditioner is triggered to operate according to the operating parameters.

2. The method according to claim 1, characterized in that The obtaining of the home scene includes: Obtaining the status of personnel in the first preset area; When the state of a person in the first preset area is that there is a person, determining a second preset area where the person is located and the posture information of the person; wherein the second preset area belongs to the first preset area; The home scene is determined based on the second preset area where the person is located and the person's posture information.

3. The method according to claim 1, characterized in that The obtaining of season information includes: Get the current time and the geographic location of the target air conditioner; The current time and geographic location are used to perform a table lookup operation in a preset first data table to find out the season information corresponding to the current time and geographic location; wherein the first data table stores the correspondence between the current time and geographic location and the season information.

4. The method according to claim 1, characterized in that The obtaining of a first human comfort deviation value according to indoor air environment information, season information, and home scene includes: Get clothing thermal resistance based on season information and metabolic rate based on home scenes; A first human comfort deviation value is obtained according to indoor air environment information, clothing thermal resistance and metabolic rate.

5. The method according to claim 1, characterized in that The operating parameters of the target air conditioner include an operating mode, a fresh air level, and a first target operating temperature; the operating parameters of the target air conditioner are determined according to the season information, the home scene, and the first human comfort deviation value, including: The operating mode is determined according to the season information, the fresh air level is determined according to the home scene, and the first target operating temperature is determined according to the first human comfort deviation value.

6. The method according to claim 5, characterized in that The determining the first target operating temperature according to the first human comfort deviation value includes: Get the current operating temperature of the target air conditioner; A first target operating temperature is determined according to the first human comfort deviation value and the current operating temperature.

7. The method according to any one of claims 1 to 6, characterized in that: The smart home device includes smart curtains and smart lights; the method further includes: According to the home scene, the target light transmittance of the smart curtains and the target lighting parameters of the smart lights are determined respectively; The light transmittance of the smart curtain is adjusted to the target light transmittance, and the lighting parameters of the smart lamp are adjusted to the target lighting parameters.

8. A device for controlling smart home devices, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to execute the method for controlling a smart home device according to any one of claims 1 to 7 when running the program instructions.

9. A smart home device, characterized in that: include: Smart home device body; The device for controlling a smart home device as claimed in claim 8 is installed on the smart home device body.

10. A storage medium storing program instructions, characterized in that: When the program instructions are executed, the method for controlling a smart home device according to any one of claims 1 to 7 is executed.

Images