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

Abstract

The application relates to the technical field of smart home devices, and discloses a method for controlling a smart home device, the smart home device comprising a target air conditioner; the method comprising: acquiring a home scene, indoor air environment information and seasonal information; acquiring a first human comfort deviation value according to the indoor air environment information, the seasonal information and the home scene; determining operation parameters of the target air conditioner according to the seasonal information, the home scene and the first human comfort deviation value; and triggering the target air conditioner to operate according to the operation parameters. The method makes the adjusted indoor air environment better meet the needs of a user for the indoor air environment, thereby improving the comfort of the user for the indoor air environment. The application also discloses a device for controlling a smart home device, a smart home device 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 device for controlling a smart home device, a smart home device, and a storage medium. BACKGROUND

[0002] With the improvement of living conditions, people's requirements for smart home devices are gradually increasing. In particular, people expect smart home devices to be able to automatically adjust the indoor air environment to obtain a high-quality living environment. Currently, the related art determines the operating parameters of an air conditioner by the home scene in which the user is located, such as a work scene, a study scene, or a sports scene, and controls the air conditioner to operate according to the operating parameters. Thus, the indoor air environment is adjusted.

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

[0004] Currently, the related art only adjusts the indoor air environment according to the home scene in which the user is located. This may not be able to well meet the user's needs for the indoor air environment, thus resulting in a low comfort level of the user for the indoor air environment.

[0005] It should be noted that the information disclosed in the above BACKGROUND section is only used to strengthen the understanding of the background of the present application, and thus can include information that does not constitute prior art known to those of ordinary skill in the art. SUMMARY

[0006] To facilitate an understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not an extensive overview of the embodiments and is not intended to identify key / critical elements of the embodiments or to delineate the scope of the embodiments. Its sole purpose is to present some aspects of the embodiments in a simplified form as a prelude to the more detailed description that is presented later.

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

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

[0009] In some embodiments, the obtaining the home scene comprises: obtaining a personnel state of the first preset area; in a case that the personnel state of the first preset area is that a person exists, determining a second preset area where the person is located and posture information of the person; the second preset area belongs to the first preset area; and determining the home scene according to the second preset area where the person is located and the posture information of the person.

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

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

[0012] In some embodiments, the operation parameters of the target air conditioner comprise an operation mode, a fresh air position and a first target operating temperature; and the determining the operation parameters of the target air conditioner according to the season information, the home scene and the first human comfort deviation value comprises: determining the operation mode according to the season information, determining the fresh air position according to the home scene, and determining the first target operating temperature according to the first human comfort deviation value.

[0013] In some embodiments, the determining the first target operating temperature according to the first human comfort deviation value comprises: obtaining a 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 device comprises a smart curtain and a smart lamp; and the method further comprises: determining a target light transmittance of the smart curtain and a target light parameter of the smart lamp according to the home scene; adjusting the light transmittance of the smart curtain to the target light transmittance, and adjusting the light parameter of the smart lamp to the target light parameter.

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

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

[0017] In some embodiments, the storage medium stores program instructions that, when executed, perform the method for controlling the smart home device as described above.

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

[0019] The first human comfort degree deviation value is obtained through the indoor air environment information, the season information, and the home scene, and the operation parameter of the target air conditioner is determined through the season information, the home scene, and the first human comfort degree deviation value. The indoor air environment information and the season information reflect the current environment state. The first human comfort degree deviation value reflects the comfort degree of the user in the corresponding home scene under the current environment state. In this way, when adjusting the indoor air environment, not only the home scene of the user is considered, but also the comfort degree of the user in the corresponding home scene under different environment states is considered. The adjusted indoor air environment can better meet the needs of the user for the indoor air environment, thereby improving the comfort degree of the user for the indoor air environment.

[0020] The foregoing general description and the following description are merely exemplary and explanatory, and are not intended to limit the present application. BRIEF DESCRIPTION OF DRAWINGS

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

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

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

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

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

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

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

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

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

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

[0031] In order to enable a more detailed understanding of the features and technical content of the embodiments of the present disclosure, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings, which are only used for reference and do not limit the embodiments of the present disclosure. In the following technical description, in order to facilitate explanation, a plurality of details are provided to provide a full understanding of the disclosed embodiments. However, one or more embodiments can still be implemented without these details. In other cases, in order to simplify the drawings, well-known structures and devices can be simplified.

[0032] The terms "first", "second", and the like in the specification and claims of the embodiments of the present disclosure and the above drawings are used to distinguish similar objects, and do not necessarily have to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present disclosure described herein can be implemented. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion.

[0033] Unless otherwise specified, the term "a plurality of" means two or more.

[0034] In the embodiments of the present disclosure, the character " / " represents an "or" relationship between the objects before and after it. For example, A / B means: A or B.

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

[0036] The term "corresponding" can refer to an association or binding relationship. A and B correspond to each other means that there is an association or binding relationship between A and B.

[0037] In the embodiments of the present disclosure, the smart home device refers to a household appliance product formed after introducing microprocessors, sensor technology, network communication technology into household devices, having the characteristics of intelligent control, intelligent sensing and intelligent application. The operation process of the smart home device often depends on the application and processing of modern technologies such as the Internet of Things, the Internet and electronic chips. For example, the smart home device can realize remote control and management of the smart home device by the user through connecting electronic devices. In some embodiments, the smart home device includes one or more of a target air conditioner, a smart curtain, and a smart lamp.

[0038] The method for controlling the smart home device provided by the embodiments of the present disclosure is applied to an electronic device. The electronic device can be connected to the smart home device as described above through the Internet, or can be directly connected to the smart home device as described above through Bluetooth, Wi-Fi and the like. In some embodiments, the electronic device is a computer or a server.

[0039] In combination with Figure 1 The embodiments of the present disclosure provide a method for controlling a smart home device, which includes a target air conditioner. The method for controlling the smart home device includes:

[0040] In step S101, the electronic device obtains a home scene, indoor air environment information and seasonal information.

[0041] In step S102, the electronic device obtains a first human comfort deviation value according to the indoor air environment information, the seasonal information and the home scene.

[0042] In step S103, the electronic device determines the operation parameter of the target air conditioner according to the seasonal information, the home scene and the first human comfort deviation value.

[0043] In step S104, the target air conditioner is triggered to operate according to the operation parameter.

[0044] By using the method for controlling the smart home device provided by the embodiments of the present disclosure, the first human comfort deviation value is obtained through the indoor air environment information, the seasonal information and the home scene, and the operation parameter of the target air conditioner is determined through the seasonal information, the home scene and the first human comfort deviation value. Among them, the indoor air environment information and the seasonal information reflect the current environmental state. The first human comfort deviation value reflects the comfort degree 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 of the user is considered, but also the comfort degree 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 demand for the indoor air environment, thereby improving the user's comfort degree for the indoor air environment.

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

[0046] Further, the electronic device acquires the home scene, including: the electronic device acquires the personnel state in the first preset area. In the case that the personnel state in the first preset area is that there is personnel, the second preset area where the personnel is located and the posture information of the personnel are determined. Wherein, the second preset area belongs to the first preset area. The home scene is determined according to the second preset area where the personnel is located and the posture information of the personnel.

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

[0048] Optionally, all the second preset areas in 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 acquires the personnel state in the first preset area, including: the electronic device acquires the personnel state in each second preset area in the first preset area through each millimeter wave radar sensor. In the case that the personnel state of all the second preset areas is that there is no personnel, it is determined that the personnel state in the first preset area is that there is no personnel. In the case that the personnel state of any second preset area is that there is personnel, it is determined that the personnel state in the first preset area is that there is personnel.

[0049] Further, the electronic device determines the second preset area where the personnel is located, including: in the case that the millimeter wave radar sensor of any second preset area detects the personnel, the second preset area where the personnel is detected is determined as the second preset area where the personnel is located. For example, the living room, the bedroom and the gymnasium are provided with millimeter wave radar sensors. In the case that the millimeter wave radar sensor in the living room detects the personnel, the living room is determined as the second preset area where the personnel is located.

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

[0051] Further, the electronic device determines the posture information of the person, including: the electronic device acquires 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 identification model to obtain the posture of the person and acquire the holding time length 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 length. In different home scenes, the holding time length 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 length of the sitting posture is relatively long. When the home scene is a lying and sleeping scene, the posture of the person is generally a lying posture, and the holding time length of the lying posture is relatively long. In this way, the standard time length is determined through the posture of the person, and the posture information of the person is determined according to the standard time length and the posture of the person, so that the stability of the posture of the person can be more accurately determined, that is, the posture information of the person can be more accurately determined.

[0052] Further, the first identification 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 identification model. The first sample image has a first label. The first label represents the posture of the corresponding person. The posture of the person includes a sitting posture, a lying posture, or a standing posture.

[0053] Optionally, all the second preset areas in the first preset area are provided with infrared sensors, and each infrared sensor is in communication connection with the electronic device. The electronic device acquires the state of the person in the first preset area, including: the electronic device acquires the state of the person in each second preset area in the first preset area through each infrared sensor. In the case that the state of the person in all the second preset areas is that there is no person, it is determined that the state of the person in the first preset area is that there is no person. In the case that the state of the person in any second preset area is that there is a person, it is determined that the state of the person in 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: in the case that the infrared sensor of any second preset area detects the person, the second preset area where the person is detected is determined as the second preset area where the person is located. For example, a living room, a bedroom, a gymnasium, and the like are provided with infrared sensors. In the case that 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] Further, all the second preset areas in the first preset area are provided with a camera. The electronic device determines the posture information of the person, including: the electronic device acquires an image of the second preset area where the person is located through the 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 acquire the holding duration of the posture. The posture information of the person is determined according to the posture and the corresponding holding duration. In different home scenes, the holding duration 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 duration of the sitting posture is relatively long. When the home scene is a lying and sleeping scene, the posture of the person is generally a lying posture, and the holding duration of the lying posture is relatively long. In this way, the standard duration is determined according to the posture of the person, and the posture information of the person is determined according to the standard duration and the posture of the person, so that the stability of the posture of the person can be more accurately determined, that is, the posture information of the person can be more accurately determined.

[0056] Further, 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 posture of the corresponding person. The posture of the person includes a sitting posture, a lying posture, or a standing posture.

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

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

[0059] Further, the electronic device determines the corresponding standard duration according to the posture, including: the electronic device performs a lookup operation in a preset second data table using the posture to find out the standard duration corresponding to the posture. The preset second data table stores the correspondence between the posture and the standard duration. The home scene is generally a scene that lasts for a long time, and at this time, the posture of the user is relatively stable. For example, when the home scene is a learning scene, the posture of the user will be maintained as a sitting posture for a long time. However, in different home scenes, the duration for which the posture of the user remains unchanged is also different. In this way, the standard duration is determined according to the posture, so that 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, the standard duration corresponding to the case where the posture of the person is a sitting posture is 2 minutes. The standard duration corresponding to the case where the posture of the person is a lying posture is 5 minutes. The standard duration corresponding to the case where the posture of the person is a standing posture is 5 minutes.

[0061] Table 1

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

[0063] Further, 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 by using the second preset area where the person is located and the posture information of the person together. The home scene corresponding to the second preset area where the person is located and the posture information of the person together is found out. 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, in the case where the second preset area where the person is located is a living room and the posture information is a lying posture, it is determined that the corresponding home scene is a lying sleep scene. In the case where the second preset area where the person is located is a living room and the posture information is other postures or a sitting posture, it is determined that the corresponding home scene is a rest scene. In the case where the second preset area where the person is located is a living room and the posture information is a standing posture, it is determined that the corresponding home scene is a housework scene. In the case where the second preset area where the person is located is a study and the posture information is a sitting posture, it is determined that the corresponding home scene is a work scene, a learning scene, or an entertainment scene. In the case where the second preset area where the person is located is a study and the posture information is a lying posture, it is determined that the corresponding home scene is a lying sleep scene. In the case where the second preset area where the person is located is a dining room and the posture information is a sitting posture, it is determined that the corresponding home scene is a dining scene. In the case where the second preset area where the person is located is a dining room and the posture information is a standing posture or other postures, it is determined that the corresponding home scene is a housework scene.

[0065] Table 2

[0066]

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

[0068] In some embodiments, one air conditioner is arranged in the first preset area. The air conditioner is used to adjust the air environment of all the second preset areas in the first preset area. The electronic device obtains the indoor environment temperature and the indoor air flow rate at the position of the target air conditioner, including: the electronic device determines the air conditioner arranged in the first preset area as the target air conditioner, and obtains the indoor environment temperature and the indoor air flow rate at the position of the target air conditioner.

[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 the indoor air flow rate at the position of the target air conditioner, 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 the indoor air flow rate at the position of the target air conditioner.

[0070] Further, a temperature sensor is arranged in each air conditioner, and the temperature sensor is used to detect the indoor environment temperature at the position of the corresponding air conditioner. The electronic device obtains the indoor environment temperature at the position of the target air conditioner, including: the electronic device obtains the indoor environment temperature at the position of the target air conditioner through the target air conditioner.

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

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

[0073] Further, the electronic device obtains seasonal information, including: the electronic device obtains the current time and the geographic position of the target air conditioner. The current time and the geographic position are used to perform a lookup operation in a preset first data table to find out the seasonal information corresponding to the current time and the geographic position. The first data table stores the correspondence between the current time, the geographic position and the seasonal information. The first data table stores the correspondence between the current time, the geographic position and the seasonal information. The seasonal information of different geographic positions has great difference. For example, when the current time is April, the seasonal information of Heilongjiang is winter, and the seasonal information of Chongqing is spring. Therefore, the current time and the geographic position of the target air conditioner can be used to more accurately determine the seasonal information of the living environment of the user.

[0074] Further, the current time and the geographic location of the target air conditioner are acquired in a networked manner. In some embodiments, the current time is a month.

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

[0076] Table 3

[0077]

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

[0079] The first human comfort deviation value represents the comfort of the user in the current environment state when the corresponding home scene occurs. Since the first human comfort deviation value is affected by the clothing thermal resistance, the metabolic rate and the indoor air environment information. And the clothing of the user is greatly affected by the 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 acquired through the seasonal information, the metabolic rate is acquired through the home scene, and the first human comfort deviation value is acquired according to the indoor air environment information, the clothing thermal resistance and the metabolic rate. The comfort of the user associated with the environment state of the location where the user is located and the home scene that occurs can be obtained.

[0080] In combination Figure 2 As shown in FIG. 1, the embodiments of the present disclosure provide a method for controlling an intelligent home device, the intelligent home device including a target air conditioner. The method for controlling the intelligent home device includes:

[0081] In step S201, the electronic device acquires the home scene, the indoor air environment information, and the seasonal information.

[0082] In step S202, the electronic device acquires the clothing thermal resistance according to the seasonal information, and acquires the metabolic rate according to the home scene.

[0083] In step S203, the electronic device acquires the first human comfort deviation value according to the indoor air environment information, the clothing thermal resistance, and the metabolic rate.

[0084] In step S204, the electronic device determines the operation parameter of the target air conditioner according to the seasonal information, the home scene, and the first human comfort deviation value.

[0085] In step S205, the target air conditioner is triggered to operate according to the operation parameter.

[0086] Further, the electronic device acquires the clothing thermal resistance according to the seasonal information, including: the electronic device performs a table lookup operation in a preset fourth data table according to the seasonal information, and finds out the clothing thermal resistance corresponding to the seasonal information. The preset fourth data table stores the corresponding relationship between the seasonal information and the clothing thermal resistance. For example, when the seasonal information is spring, the corresponding clothing thermal resistance is 0.105 m 2 K / W. When the seasonal information is summer, the corresponding clothing thermal resistance is 0.07 m 2 K / W. When the seasonal information is autumn, the corresponding clothing thermal resistance is 0.155 m 2 K / W. When the seasonal information is winter, the corresponding clothing thermal resistance is 0.23 m 2 K / W.

[0087] Further, the electronic device acquires the metabolic rate according to the home scene, including: the electronic device performs a table lookup operation in a preset fifth data table according to the home scene, and finds out the metabolic rate corresponding to the home scene. The preset fifth data table stores the corresponding relationship between the home scene and the metabolic rate. For example, when the home scene is a lying sleep scene, the corresponding metabolic rate is 45 w / m 2 . When the home scene is a rest scene, a work scene, a study scene, or an entertainment scene, the corresponding metabolic rate is 70 w / m 2 . When the home scene is a dining scene, the corresponding metabolic rate is 80 w / m 2 . When the home scene is a housework scene, the corresponding metabolic rate is 115 w / m 2 .

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

[0089] Further, the water vapor partial pressure is obtained according to the indoor environment temperature, including: calculating the water vapor partial pressure P by P a = 0.6108exp (17.27t a - 38.58), wherein P a is the water vapor partial pressure, and t a is the indoor environment temperature.

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

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

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

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

[0094] PMV = (0.303e -0.036M +0.033) {M-3.05x10 -3 x [5733-6.99M-P a ]-0.42x [(M-W)-58.15]-1.7x10 -5 M (5867-P a )-0.0014M (34-t a )-3.96x10 -8 f cl x [(t cl +273) 4 -(t a +273) 4 ]-f cl h c (t cl -t a )}-0.227, a first human comfort deviation value is obtained. Wherein, PMV is the first human 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 the operating mode, the fresh air position and the first target operating temperature. The electronic device determines the operating parameters of the target air conditioner according to the seasonal information, the home scene and the first human comfort deviation value, including: the electronic device determines the operating mode according to the seasonal information, determines the fresh air position according to the home scene, and determines the first target operating temperature according to the first human comfort deviation value.

[0096] The user's demand for the air conditioner is different when the seasonal information is different. For example, when the seasonal information is summer, the user's demand for the air conditioner is cooling. When the seasonal information is winter, the user's demand for the air conditioner is heating. When the user enters a home scene, the carbon dioxide concentration in the second preset area where the person is located changes, thereby affecting the indoor air environment in the second preset area. In addition, the first human comfort deviation value can reflect the comfort of the user in the current environment state when the corresponding home scene occurs. Therefore, by determining the operation mode according to the seasonal information, the operation mode of the air conditioner that meets the user's demand can be obtained. By determining the fresh air position according to the home scene, the fresh outdoor air is introduced into the indoor environment by using the fresh air function of the air conditioner, so as to improve the freshness of the indoor air environment. By determining the target operation temperature according to the first human comfort deviation value, the indoor environment temperature can be adjusted to make the indoor environment temperature more suitable for the user's demand. In this way, the operation parameters of the target air conditioner are determined from three aspects of the air conditioner operation mode, the improvement of the freshness of the indoor air environment, and the adjustment of the indoor environment temperature to make the indoor environment temperature more suitable for the user's demand, so that the target air conditioner adjusts the indoor air environment. The adjusted indoor air environment can better meet the user's demand for the indoor air environment, thereby improving the user's comfort for the indoor air environment.

[0097] In combination Figure 3 As shown in the drawings, the embodiment of the present disclosure provides a method for controlling a smart home device, the smart home device comprising a target air conditioner. The method for controlling the smart home device comprises:

[0098] In step S301, the electronic device obtains a home scene, indoor air environment information and seasonal information.

[0099] In step S302, the electronic device obtains a first human comfort deviation value according to the indoor air environment information, the seasonal information and the home scene.

[0100] In step S303, the electronic device determines an operation mode according to the seasonal information, determines a fresh air position according to the home scene, and determines a first target operation temperature according to the first human comfort deviation value.

[0101] In step S304, the target air conditioner is triggered to operate according to the determined operation mode, fresh air position and first target temperature.

[0102] Further, the electronic device determines the operation mode according to the season information, including: the electronic device performs a table lookup operation in a preset fourth data table using the season information to find out 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 intelligent mode. When the season information is summer, the corresponding operation mode is cooling mode. When the season information is winter, the corresponding operation mode is heating mode.

[0103] Further, the electronic device determines the fresh air position according to the home scene, including: the electronic device determines the carbon dioxide concentration change of the second preset area where the personnel are according to the home scene. The fresh air position is determined according to the carbon dioxide concentration change.

[0104] Further, the electronic device determines the carbon dioxide concentration change of the second preset area where the personnel are according to the home scene, including: the electronic device performs a table lookup operation in a preset sixth data table using the home scene to find out the carbon dioxide concentration change corresponding to the home scene. The preset sixth data table stores the correspondence between the home scene and the carbon dioxide concentration change. For example, when the home scene is a rest scene, the corresponding carbon dioxide concentration change is 0.045%. When the home scene is a lying sleep scene, the corresponding carbon dioxide concentration change is 0.06%. When the home scene is a learning scene, a working scene or an entertainment scene, the corresponding carbon dioxide concentration change is 0.18%. When the home scene is a running scene, the corresponding carbon dioxide concentration change is 0.36%.

[0105] Further, the electronic device determines the fresh air position according to the carbon dioxide concentration change, including: the electronic device determines the air freshness degree of the second preset area where the personnel are according to the carbon dioxide concentration change. When the air freshness degree is excellent, the fresh air position is determined as a low wind position. When the air freshness degree is good, the fresh air position is determined as a medium wind position. When the air freshness degree is poor, the fresh air position is determined as a high wind position. The air freshness degree represents the freshness degree of indoor air. In this way, the fresh air position is determined according to the air freshness degree, so as to control the speed of introducing outdoor fresh air into the indoor, i.e. control the fresh air volume in the indoor. So as to improve the freshness degree of the indoor air environment in time. Thus, the user's comfort degree for the indoor air environment can be improved.

[0106] In some embodiments, when the fresh air position is a low wind position, the corresponding fresh air volume is less than 30m 3 / h. When the fresh air position is a medium wind position, 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 position is a high wind position, the corresponding fresh air volume is greater than 100m3 / h.

[0107] Further, the electronic device determines the air freshness degree of the second preset area where the person is located according to the carbon dioxide concentration change, including: the electronic device performs a table lookup operation in the preset seventh data table according to the carbon dioxide concentration change, and finds out the air freshness degree corresponding to the carbon dioxide concentration change. The preset seventh data table stores the corresponding relationship between the carbon dioxide concentration change and the air freshness degree. For example, when the carbon dioxide concentration change is less than or equal to 0.08%, it is determined that the air freshness degree 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 degree of the second preset area where the person is located is good. When the carbon dioxide concentration change is greater than 0.1%, it is determined that the air freshness degree of the second preset area where the person is located is poor.

[0108] Further, 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 comfort of the user and the current operating temperature, which can adjust the indoor environment temperature to a temperature suitable for the user, thereby meeting the user's demand for the indoor air environment. To be able to improve the user's comfort for the indoor air environment.

[0109] In combination Figure 4 As shown in the figure, the embodiment of the present disclosure provides a method for controlling a smart home device, which 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 the first human comfort deviation value according to the indoor air environment information, the season information and the home scene.

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

[0113] Step S404, the electronic device determines the 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 operating mode, fresh air position and first target temperature.

[0115] Further, the electronic device determines the first target operating temperature according to the first human comfort deviation value and the current operating temperature, including: in a case where the first human comfort deviation value is greater than or equal to a first preset value and less than or equal to a second preset value, the electronic device determines the current operating temperature as the first target operating temperature. In a case where the first human comfort deviation value is less than the first preset value, the electronic device adjusts the current operating temperature by a third preset value to obtain the first target operating temperature. In a case where the first human comfort deviation value is greater than the second preset value, the electronic device adjusts the current operating temperature by the 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 triggering the target air conditioner to operate according to the operating parameter, the method further includes: the electronic device reacquires the home scene, the indoor air environment information, and the seasonal information after a first preset time length. The second human comfort deviation value is acquired according to the reacquired home scene, indoor air environment information, and seasonal information. The second target operating temperature is determined according to 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 operates according to the operating parameter, the indoor air environment information will change, thereby affecting the human comfort deviation value of the user. In this way, by acquiring the second human comfort deviation value after the target air conditioner operates according to the operating parameter for a first preset time length, the second target operating temperature is determined according to the second human comfort deviation value. The indoor environment temperature can be gradually adjusted according to the comfort of the user in the current environment state, so as to gradually adjust the indoor environment temperature and improve the experience of the user using the air conditioner. In some embodiments, the first preset time length is 10 minutes, 15 minutes, or 25 minutes, etc.

[0118] In combination with Figure 5 As shown in FIG. 1, the embodiments of the present disclosure provide a method for controlling a smart home device, which includes a target air conditioner. The method for controlling the smart home device includes:

[0119] In step S501, the electronic device acquires a home scene, indoor air environment information, and seasonal information.

[0120] In step S502, the electronic device acquires a first human comfort deviation value according to the indoor air environment information, the seasonal information, and the home scene.

[0121] In step S503, the electronic device determines an operating parameter of the target air conditioner according to the seasonal information, the home scene, and the first human comfort deviation value.

[0122] In step S504, the target air conditioner is triggered to operate according to the operating parameter.

[0123] In step S505, the electronic device reacquires the home scene, the indoor air environment information, and the seasonal information after the first preset time length.

[0124] In step S506, the electronic device acquires a second human comfort deviation value according to the reacquired home scene, the indoor air environment information, and the seasonal information.

[0125] In step S507, the electronic device determines a second target operating temperature according to the second human comfort deviation value.

[0126] In step S508, the electronic device triggers the target air conditioner to operate at the second target operating temperature, and returns 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. Thus, the user can avoid discomfort caused by a large single adjustment of the indoor environment temperature.

[0128] Further, after triggering the target air conditioner to operate according to the operating parameter, the electronic device further includes: determining a fresh air position according to the home scene every second preset time length. Since the home scene can change frequently, but the carbon dioxide concentration in the second preset area where the indoor personnel are located does not change greatly in a short time. Therefore, by determining the fresh air position according to the home scene every second preset time length, the fresh air position can be adjusted in time to meet the user's demand for outdoor fresh air. In addition, the frequency of changing the fresh air position can be reduced to save power. In some embodiments, the second preset time length is 30 minutes, 45 minutes, or 60 minutes, etc.

[0129] Further, after triggering the target air conditioner to operate according to the operating parameter, the electronic device further includes: determining an operating mode according to the seasonal information every third preset time length. Since the frequency of change of the seasonal information is relatively slow, it generally changes once every three months. Therefore, by determining the operating mode according to the seasonal information every third preset time length, the operating mode of the target air conditioner can be adjusted in time, and the number of times of determining the operating mode can be reduced to reduce the amount of calculation and improve the response speed of the target air conditioner. In some embodiments, the third preset time length is one day, one week, or one month, etc.

[0130] Optionally, after triggering the target air conditioner to operate according to the operating parameter, the electronic device further includes: re-determining the operating parameter of the air conditioner after the first preset time length, and triggering the air conditioner to operate according to the re-determined operating parameter.

[0131] After the target air conditioner runs according to the running parameters, the indoor air environment information will change, thereby affecting the human comfort deviation value of the user. Meanwhile, the home scene and season information can also change, thereby causing the running mode and fresh air position of the target air conditioner to change. In this way, the running parameters of the target air conditioner are re-determined after the target air conditioner runs according to the running parameters for a first preset time length. The fresh air position, running mode and second target running temperature of the target air conditioner can be adjusted in a timely manner, so as to enable the adjusted indoor air environment to meet the needs of the user. Therefore, the experience of the user using the air conditioner is improved. In some embodiments, the first preset time length is 10 minutes, 15 minutes or 25 minutes, etc.

[0132] In combination with Figure 6 The embodiments of the present disclosure provide a method for controlling a smart home device, the smart home device comprising a target air conditioner. The method for controlling the smart home device comprises:

[0133] In step S601, the electronic device obtains home scene, indoor air environment information and season information.

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

[0135] In step S603, the electronic device determines running parameters of the target air conditioner according to the season information, the home scene and the first human comfort deviation value.

[0136] In step S604, after triggering the target air conditioner to run according to the running parameters for a first preset time length, the method returns to step S601.

[0137] Further, the method for controlling the smart home device further comprises: the electronic device determines a 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, so as to avoid the wind direction facing 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 facing the person, causing discomfort. For example, the relative position includes front, left side and right side, etc. The wind direction of the target air conditioner includes up, down, 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 right. When the relative position is the front, the wind direction of the target air conditioner is up.

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

[0140] Further, the third identification 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 identification model. The third sample image has a third label. The third label represents a corresponding relative position. The relative position includes a front side, a left side, and a right side.

[0141] Further, the electronic device determines the wind direction of the target air conditioner according to the position of the person to avoid the wind direction being directed towards the person, including: in the case that the home scene is any one of a lying and 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 being directed towards the person. When the home scene is any one of a lying and sleeping scene, a resting scene, a working scene, and a learning scene, the metabolic rate of the user is low. At this time, the wind direction of the air conditioner is controlled to avoid being directed towards the relative position of the person, so as to avoid causing discomfort to the user.

[0142] Further, the smart home device includes a smart curtain and a smart lamp. The method for controlling the smart home device further includes: the electronic device determines a target light transmittance of the smart curtain and a target light parameter of the smart lamp according to the home scene, respectively. The light transmittance of the smart curtain is adjusted to the target light transmittance, and the light parameter of the smart lamp is adjusted to the target light parameter.

[0143] A high-quality living environment is an environment atmosphere suitable for the user to live in. The environment atmosphere not only includes an indoor air environment with high user comfort, but also includes an environment brightness suitable for the user to live in. The user's demand for the environment brightness is different when the home scene is different. For example, when the home scene is a working scene, a learning scene, or an entertainment scene, the user needs a relatively bright environment brightness. When the home scene is a lying and sleeping scene, the user needs a relatively dark environment brightness. In this way, the target light transmittance of the smart curtain and the target light parameter of the smart lamp are determined according to the home scene of the user, so that the environment brightness is adjusted by using lighting and light together. The adjusted environment brightness can meet the demand of the user in the current home scene.

[0144] In combination with Figure 7 FIG. 7 shows a flowchart of a method for controlling a smart home device, according to an embodiment of the present disclosure. The smart home device includes a target air conditioner, a smart curtain, and a smart lamp. The method for controlling the smart home device includes the following steps.

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

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

[0147] In step S703, the electronic device determines the operation parameter of the target air conditioner according to the season information, the home scene, and the first human comfort deviation value.

[0148] In step S704, the electronic device triggers the target air conditioner to operate according to the operation parameter.

[0149] In step S705, the electronic device determines the target light transmittance of the smart curtain and the target light parameter of the smart lamp 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 light parameter of the smart lamp to the target light parameter.

[0151] In real life, the change of the home scene is usually disordered and rapid. If the air conditioner, the smart curtain, and the smart lamp are manually adjusted, it will be very cumbersome and often cannot be adjusted in time, thereby causing discomfort in the user's body feeling and vision. For example, in summer, the user may want to take a nap after watching a movie for a period of time. At this time, the user may catch a cold due to forgetting to adjust the air conditioner, and the user may have difficulty falling asleep due to forgetting to adjust the smart curtain and the smart lamp, so that the ambient brightness is large. Therefore, the current comfort of the user and the current environment state are determined according to the home scene, the indoor air environment information, and the season information, and the operation parameter of the air conditioner, the light transmittance of the smart curtain, and the light parameter of the smart lamp are adjusted, so that the position of the user can be adjusted to an environment atmosphere suitable for the user's life in time.

[0152] Further, the electronic device determines the target lighting parameter according to the home scene, including: the electronic device performs a lookup operation in a preset eighth data table by using the home scene to find out the target light transmittance of the smart curtain and the target light parameter 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 light parameter of the smart lamp and the home scene.

[0153] In some embodiments, C1 is light transmittance, L is brightness, and C2 is color temperature. In the case where the home scene is a learning scene or a working scene, the target light transmittance of the smart curtain is C1≥50%, and the target light parameter of the smart lamp is L≥80% and C2≥3500K. In the case where the home scene is a lying sleeping scene, the target light transmittance of the smart curtain is C1<10%, and the target light parameter of the smart lamp is L<20% and C2<1500K. In the case where the home scene is a dining scene, the target light transmittance of the smart curtain is 10%<C1<50%, and the target light parameter of the smart lamp is 50%<L<80% and 1500K<C2<3500K.

[0154] In combination Figure 8As shown, the embodiment of the present disclosure provides a device 100 for controlling smart home devices, comprising a processor 101 and a memory 102. Optionally, the device can further comprise a communication interface 103 and a bus 104. Wherein the processor 101, the communication interface 103, and the memory 102 can complete mutual communication through the bus 104. The communication interface 103 can be used for information transmission. The processor 101 can call the logical instructions in the memory 102 to execute the method for controlling smart home devices of the above-mentioned embodiments.

[0155] In addition, the logical instructions in the memory 102 described above can be realized in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium.

[0156] The memory 102 as a computer readable storage medium can be used to store software programs, computer executable programs, such as program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 101 executes the program instructions / modules stored in the memory 102, thereby performing functional applications and data processing, i.e. realizing the method for controlling smart home devices in the above-mentioned embodiments.

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

[0158] In combination Figure 9 As shown, the embodiment of the present disclosure provides a smart home device 200, comprising: a smart home device body. For example, the smart home device is a target air conditioner. And the device 100 for smart home devices described above. The device 100 for controlling smart home devices is installed on the smart home device body. The installation relationship described herein is not limited to placing in the smart home device, but also includes installation connection with other components of the smart home device, including but not limited to physical connection, electrical connection or signal transmission connection, etc. Those skilled in the art can understand that the device 100 for controlling smart home devices can be adapted to the feasible smart home device body, and thus realize other feasible embodiments.

[0159] The embodiment of the present disclosure provides a computer readable storage medium, which stores computer executable instructions, and the computer executable instructions are set to execute the above-mentioned method for controlling smart home devices.

[0160] The computer readable storage medium described above can be a transitory computer readable storage medium or a non-transitory computer readable storage medium.

[0161] The technical solutions of the embodiments of the present disclosure can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes one or more instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method disclosed in the embodiments of the present disclosure. The aforementioned storage medium can be a non-transitory storage medium, including a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes, or can be a transitory storage medium.

[0162] The above description and drawings sufficiently illustrate the embodiments of the present disclosure to enable one skilled in the art to practice them. Other embodiments can include structural, logical, electrical, process, and other changes. The embodiments represent only a few of the possible variations. Individual components and functions are optional unless explicitly required, and the order of operations can be changed. Parts and features of some embodiments can be included in or replace parts and features of other embodiments. Also, the words used in this application are used only to describe the embodiments and not to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly requires otherwise, the singular forms "a," "an," and "the" are intended to include the plural forms as well. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of one or more associated listed items. In addition, when used in this application, the term "comprise" and its variations "comprises" and / or comprises" and the like mean the presence of the stated features, integers, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. Without more limitations, the element defined by the phrase "comprising a" does not exclude the presence of additional identical elements in the process, method, or device including the element. In this document, each embodiment focuses on the differences from other embodiments, and the same or similar parts between embodiments can be referred to each other. For the method, product, etc. disclosed in the embodiments, if it corresponds to the method part disclosed in the embodiments, the relevant part can be referred to the description of the method part.

[0163] Those skilled in the art can understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software manner can depend on specific application and design constraints of the technical solution. The skilled person can use different methods for each specific application to realize the described functions, but such implementation should not be considered beyond the scope of the embodiments of the disclosure. The skilled person can clearly understand that, for the convenience and brevity of description, the specific working scenario processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0164] In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the above-described device embodiments are merely illustrative, for example, the division of the units can be merely a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be omitted or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms. The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to implement the embodiments. In addition, each functional unit in the embodiments of the disclosure can be integrated in one processing unit, or each unit can be a physically independent unit, or two or more units can be integrated in one unit.

[0165] The computer program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other processing device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other processing device to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

Claims

1. A method for controlling smart home devices, characterized in that, The smart home device includes a target air conditioner; the method includes: Obtain information on home settings, indoor air quality, and seasons; Based on indoor air environment information, seasonal information, and home environment, obtain the first human comfort deviation value; The operating parameters of the target air conditioner are determined based on seasonal information, home environment, and the first human comfort deviation value. Trigger the target air conditioner to operate according to the operating parameters; The process of obtaining a home scene includes: obtaining the status of people in a first preset area; if the status of people in the first preset area is that people are present, determining the second preset area where the people are located and the people's posture information; 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 people's posture information. Obtaining the seasonal information includes: obtaining the current time and the geographical location of the target air conditioner; performing a lookup operation in a preset first data table using the current time and geographical location to find the seasonal information that corresponds to both the current time and geographical location; wherein, the first data table stores the correspondence between the current time and geographical location and the seasonal information; The step of obtaining the first human comfort deviation value based on indoor air environment information, seasonal information, and home scene includes: obtaining the thermal resistance of clothing based on seasonal information and obtaining the metabolic rate based on home scene; obtaining the first human comfort deviation value based on indoor air environment information, clothing thermal resistance, and metabolic rate. The operating parameters of the target air conditioner include the operating mode, fresh air setting, and first target operating temperature; the determination of the operating parameters of the target air conditioner based on seasonal information, home environment, and first human comfort deviation value includes: determining the operating mode based on seasonal information, determining the fresh air setting based on home environment, and determining the first target operating temperature based on the first human comfort deviation value.

2. The method according to claim 1, characterized in that, The step of determining the first target operating temperature based on the first human comfort deviation value includes: Obtain the current operating temperature of the target air conditioner; The first target operating temperature is determined based on the first human comfort deviation value and the current operating temperature.

3. The method according to any one of claims 1 to 2, characterized in that, The smart home device includes smart curtains and smart lights; the method further includes: Based on the home environment, determine the target light transmittance of smart curtains and the target lighting parameters of smart lights; Adjust the light transmittance of the smart curtains to the target light transmittance, and adjust the lighting parameters of the smart lights to the target lighting parameters.

4. A device for controlling smart home devices, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to, when executing the program instructions, perform the method for controlling smart home devices as described in any one of claims 1 to 3.

5. A smart home device, characterized in that, include: The main body of the smart home device; The device for controlling smart home devices as described in claim 4 is installed on the main body of the smart home device.

6. A storage medium storing program instructions, characterized in that, When the program instructions are executed, they perform the method for controlling smart home devices as described in any one of claims 1 to 3.

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