Smart home equipment control method and system, medium and electronic equipment

Abstract

The embodiment of the invention provides a control method and system for smart home equipment, a computer readable medium and electronic equipment, and the method comprises the steps that physiological parameter information of a user is collected through smart wearable equipment worn on the body of the user, and the physiological parameter information comprises at least one of the following items: the heart rate, the respiratory rate, the body temperature and the motion state; a target physiological activity state of the current user is determined according to the physiological parameter information, the target physiological activity state is one of multiple physiological activity states, and the multiple physiological activity states comprise a sleep state and an exercise training state; and according to the target physiological activity state, obtaining a target smart home device group matched with the target physiological activity state in advance and a working mode of the target smart home device group, and controlling each smart home device in the target smart home device group to execute the working mode. According to the scheme provided by the embodiment of the invention, the intelligent degree of the smart home and the convenience of using the smart home equipment can be improved, so that the user experience can be improved.

Description

Technical Field

[0001] The present application relates to the field of smart home technology, and more specifically, to a control method, system, computer-readable medium and electronic device for smart home devices. Background Art

[0002] At present, the control solutions for smart home devices mainly include remote control of various smart home devices in the home based on smartphone apps, and automatic operation of devices at specific time points through the timing functions of smart home devices. These solutions generally have defects such as low intelligence, poor convenience of using smart home devices, and poor user experience. In addition, existing smart wearable devices and smart home devices work independently, and smart home devices will not adjust the working mode of smart home devices according to the user's sleep or exercise status collected by the smart wearable devices. Summary of the invention

[0003] The embodiments of the present application provide a control method, system, computer-readable medium and electronic device for smart home devices, which can achieve the coordinated work of smart wearable devices and smart home devices at least to a certain extent, improve the intelligence level of smart homes, improve the convenience of using smart home devices, and enhance user experience.

[0004] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present application.

[0005] According to one aspect of an embodiment of the present application, a method for controlling a smart home device is provided, the method comprising: collecting physiological parameter information of a user through a smart wearable device worn on the user, the physiological parameter information comprising at least one of the following: heart rate, respiratory rate, body temperature, and movement status; determining a target physiological activity state of the user according to the physiological parameter information, the target physiological activity state being one of a plurality of physiological activity states, the plurality of physiological activity states comprising: sleep state, exercise training state; acquiring a target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target smart home device group and controlling each smart home device in the target smart home device group to execute the working mode.

[0006] According to one aspect of an embodiment of the present application, a control system for smart home devices is provided, the system comprising: a smart wearable device, which is provided with an information acquisition unit for collecting physiological parameter information of a user, the physiological parameter information comprising at least one of the following: heart rate, respiratory rate, body temperature, and exercise training status; a physiological activity state determination unit, for determining a target physiological activity state of the user currently in accordance with the physiological parameter information, the target physiological activity state being one of a plurality of physiological activity states, the plurality of physiological activity states comprising: sleep state, exercise training state; a device control unit, for acquiring a target smart home device group and its working mode that have been pre-matched therewith according to the target physiological activity state, and sending a control instruction to each smart home device in the target smart home device group; a smart home device, for executing a working mode corresponding to the control instruction according to the control instruction sent by the device control unit.

[0007] In some embodiments of the present application, based on the aforementioned scheme, the system also includes an area determination unit; before obtaining a target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target, the area determination unit is used to: determine the target indoor area where the user is located based on the communication signal of the smart wearable device, and the target indoor area belongs to one of multiple indoor areas; the device control unit is configured to: determine the smart home device corresponding to the target indoor area; among the smart home devices corresponding to the target indoor area, determine at least one target smart home device belonging to the target smart home device group; and control the at least one target smart home device to execute the working mode.

[0008] In some embodiments of the present application, based on the aforementioned scheme, the system also includes a working state parameter recording unit and a working state parameter recovery unit; before obtaining a target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target physiological activity state, and controlling each smart home device in the target smart home device group to execute the working mode, the working state parameter recording unit is configured to: record the target working state parameters of each smart home device in the current target smart home device group; after obtaining a target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target physiological activity state, and controlling each smart home device in the target smart home device group to execute the working mode, the working state parameter recovery unit is configured to: when it is determined that the target physiological activity state of the user ends according to the current physiological parameter information of the user, restore each smart home device in the target smart home device group to the corresponding target working state parameters.

[0009] In some embodiments of the present application, based on the aforementioned scheme, the physiological activity state includes at least one physiological activity stage; the device control unit is configured as: when it is determined according to the physiological parameter information that the user is currently in the target physiological activity stage of the target physiological activity state, a target smart home device subgroup and its working submode in the target smart home device group that have been pre-matched therewith are obtained according to the target physiological activity stage, and each smart home device in the target smart home device subgroup is controlled to execute the working submode.

[0010] In some embodiments of the present application, based on the aforementioned scheme, the target physiological activity state is a sleep state, and the physiological activity stages of the sleep state include a falling asleep stage and a deep sleep stage; the device control unit is configured as: when it is determined according to the physiological parameter information that the current user is in the falling asleep stage of the sleep state, the first target smart home device subgroup and its first working submode in the target smart home device group that have been pre-matched with it are obtained according to the falling asleep stage, and the working state parameters of each smart home device in the first target smart home device subgroup are adjusted according to the first working submode; when it is determined according to the physiological parameter information that the current user is in the deep sleep stage of the sleep state, the second target smart home device subgroup and its second working submode in the target smart home device group that have been pre-matched with it are obtained according to the deep sleep stage, and the smart home devices in the second target smart home device subgroup are turned off according to the second working submode, or the smart home devices in the second target smart home device subgroup are controlled to enter sleep mode.

[0011] In some embodiments of the present application, based on the aforementioned scheme, the device control unit is configured to: within a first preset working time, reduce the brightness parameter of at least one smart home device with a lighting function in the first target smart home device subgroup to a corresponding target brightness parameter in a step-by-step or stepless manner; within a second preset working time, reduce the volume parameter of at least one smart home device with a sound function in the first target smart home device subgroup to a corresponding target volume parameter in a step-by-step or stepless manner; within a third preset working time, reduce the wind speed parameter of at least one smart home device with an airflow generating function in the first target smart home device subgroup to a corresponding target wind speed parameter in a step-by-step or stepless manner.

[0012] In some embodiments of the present application, based on the aforementioned scheme, the target physiological activity state is an exercise training state; the device control unit is configured to: obtain a target smart home device group and its working mode that have been pre-matched with the exercise training state according to the exercise training state, and control each smart home device in the target smart home device group to execute the working mode in the following manner: increase the wind speed parameter of at least one smart home device with an airflow generating function in the target smart home device group according to a predetermined wind speed increase strategy, adjust the temperature parameter of at least one smart home device with a temperature adjustment function in the target smart home device group according to a predetermined temperature adjustment strategy, and adjust the lighting mode of at least one smart home device with a lighting function in the target smart home device group according to a predetermined lighting control strategy.

[0013] According to one aspect of an embodiment of the present application, a computer-readable medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the control method of the smart home device as described in the above embodiment is implemented.

[0014] According to one aspect of an embodiment of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the control method of the smart home device as described in the above embodiment.

[0015] In the technical solutions provided in some embodiments of the present application, the user's heart rate, respiratory rate, body temperature, movement status and other physiological parameter information are first collected by using a smart wearable device to obtain these physiological parameter information, and then the target physiological activity state of the user is determined according to the physiological parameter information, and the target physiological activity state is one of multiple physiological activity states. Finally, according to the pre-set target smart home device working mode that matches the target physiological activity state, each smart home device associated with the target smart home device working mode is controlled. Therefore, the embodiment of the present application analyzes the user's physiological parameter information, identifies the user's current target physiological activity state, and then controls the smart home device according to the target physiological activity state, realizing the collaborative work of the smart wearable device and the smart home device for the first time, which can make the indoor environment parameters created by the smart home device more suitable for the current user's physiological activity state, significantly improve the intelligence of the smart home, improve the convenience of using smart home devices, and effectively improve the user experience.

[0016] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0018] Figure 1 A schematic diagram showing an exemplary system architecture to which the technical solution of the embodiments of the present application can be applied;

[0019] Figure 2 A flow chart showing a method for controlling a smart home device according to an embodiment of the present application is shown;

[0020] Figure 3 An embodiment according to the present application is shown Figure 2 A flowchart of the steps before step 250 and details of step 250 in the embodiment;

[0021] Figure 4 An embodiment according to the present application is shown Figure 2 A flowchart of the details of step 250 in an embodiment;

[0022] Figure 5 An embodiment according to the present application is shown Figure 2 Flowchart of steps before step 250 and steps after step 250 in the embodiment;

[0023] Figure 6 A block diagram of a control system of a smart home device according to an embodiment of the present application is shown;

[0024] Figure 7 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0025] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be more comprehensive and complete and fully convey the concept of the example embodiments to those skilled in the art.

[0026] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0027] In the embodiments of the present application, the term "module" or "unit" refers to a computer program or a part of a computer program with a predetermined function, and works together with other related parts to achieve a predetermined goal, and can be implemented in whole or in part by using software, hardware (such as processing circuits or memories) or a combination thereof. Similarly, a processor (or multiple processors or memories) can be used to implement one or more modules or units. In addition, each module or unit can be part of an overall module or unit that includes the function of the module or unit.

[0028] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0029] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0030] Figure 1 A schematic diagram showing an exemplary system architecture to which the technical solution of the embodiments of the present application can be applied. Figure 1As shown, the system architecture 100 may include a home gateway 110, a smart wearable device 120, a cloud 130 and multiple smart home devices. The multiple smart home devices may include lamps 102, air conditioners 103, speakers 104, televisions 105, projectors 106, tablet computers 107, mobile phones 108, fans 109, etc. The smart wearable device 120 and each smart home device can communicate with the home gateway 110. Each smart home device can be connected to the home gateway 110 via a wireless network (such as Bluetooth or WiFi) or a wired network. The home gateway 110 can also communicate with one or more smart home devices through infrared signals. The smart wearable device 120 can be connected to the home gateway 110 via a wireless network (such as Bluetooth or WiFi), so that each smart home device and the smart wearable device 120 complete networking. The home gateway 110 communicates with the cloud 130 through the communication link 120, and a preset physiological parameter analysis model can be deployed in the cloud 130. When a control of a smart home device provided in an embodiment of the present application is applied to Figure 1 In the system architecture shown, a process may be as follows: first, the user's heart rate, breathing rate, body temperature, movement status and other physiological parameter information is collected in real time through the smart wearable device 120, and the collected physiological parameter information is sent to the cloud 130 via the home gateway 110; then, the cloud 130 inputs the acquired physiological parameter information into a preset physiological parameter analysis model, thereby identifying the user's current target physiological activity state; then, the cloud 130 determines the target smart home device working mode that matches the target physiological activity state; finally, the cloud 130 generates control instructions corresponding to each smart home device associated with the target smart home device working mode according to the target smart home device working mode, and sends the control instructions corresponding to each smart home device to the corresponding smart home device via the home gateway 110, thereby realizing control of the corresponding smart home device.

[0031] In some embodiments of the present application, multiple smart home devices are located in the same room.

[0032] It should be understood that Figure 1 The number of home gateways, smart wearable devices, and each type of smart home device and the types of smart home devices are only illustrative. According to the implementation requirements, the number of home gateways, smart wearable devices, and each type of smart home device can be multiple, and more types of smart home devices can be controlled.

[0033] It should be noted that Figure 1 The embodiment shown is only one embodiment of the present application. Figure 1In the embodiment, only eight smart home devices are shown, and only one smart home device in each smart home device is controlled. However, in other embodiments of the present application, other types of smart home devices such as laptop computers and desktop computers can also be controlled. Moreover, for each smart home device, a larger number of smart home devices can be controlled, for example, two different televisions can be controlled separately. Figure 1 In the solution of the embodiment, the smart wearable device is directly connected to the home gateway, but in the solution of other embodiments of the present application, the smart wearable device can also be indirectly connected to the home gateway via other terminal devices such as smart phones. Figure 1 In the embodiment, only one home gateway is shown, but in other embodiments of the present application, multiple home gateways may be provided, for example, one home gateway is provided for each room, and all smart home devices are grouped according to the room where the smart home devices are located, and then each smart home device is connected to the home gateway provided for the room where it is located. Figure 1 In the scheme of the embodiment, the generation of control instructions and the identification of the user's physiological activity state are both implemented through the cloud, but in other embodiments of the present application, the generation of control instructions and / or the identification of the user's physiological activity state may not be implemented through the cloud. For example, a control device that can communicate with the cloud can be set up in the room alone. After the user's current target physiological activity state is identified through the cloud, the control device generates control instructions corresponding to each smart home device associated with the target smart home device working mode; for another example, the entire system may not use the cloud, and a control device that can communicate with the home gateway is set up, and the control device is responsible for the generation of control instructions and the identification of the user's physiological activity state; for another example, only a smart phone that can communicate with the home gateway can be responsible for the generation of control instructions and the identification of the user's physiological activity state. The embodiments of the present application do not make any restrictions on this, and the scope of protection of the present application should not be limited in any way.

[0034] It is easy to understand that the control method of the smart home device provided in the embodiment of the present application is generally executed by the server, and accordingly, the control device of the smart home device is generally set in the server. However, in other embodiments of the present application, the terminal device may also have similar functions as the server, so as to execute the control scheme of the smart home device provided in the embodiment of the present application.

[0035] Therefore, the embodiments of the present application can be applied to a terminal or a server. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited to this. The terminal and the server can be directly or indirectly connected via wired or wireless communication, and this application is not limited here.

[0036] The implementation details of the technical solution of the embodiment of the present application are described in detail below:

[0037] Figure 2 The flowchart of the control method of the smart home device according to an embodiment of the present application is shown. The control method of the smart home device can be executed by various devices with communication and computing functions. Specifically, it can be executed by a target device, such as a user terminal or a cloud server. The user terminal includes but is not limited to mobile phones, computers, intelligent voice interaction devices, smart home appliances, vehicle terminals, aircraft, smart watches, etc. Please refer to Figure 2 As shown, the control method of the smart home device includes at least the following steps:

[0038] Step 210: The user's physiological parameter information is collected through the smart wearable device worn on the user. The physiological parameter information includes at least one of the following: heart rate, respiratory rate, body temperature, and exercise status.

[0039] When the execution subject is not a smart wearable device, the physiological parameter information of the user collected by the smart wearable device can be obtained.

[0040] Smart wearable devices can monitor the user's physiological parameters in real time.

[0041] Smart wearable devices can be smart watches, smart bracelets, smart headphones, smart rings, smart glasses, smart hats, etc. Smart wearable devices are usually portable devices that can be worn on the user. Smart wearable devices can detect heart rate and respiratory rate based on technologies such as photoplethysmography (PPG). Smart wearable devices can detect body temperature through temperature sensors. The motion state is the motion mode of the smart wearable device. The motion mode is determined by the user's touch screen operation on the smart wearable device or by the smart wearable device's active recognition. Smart wearable devices can provide running, cycling, swimming and other motion modes.

[0042] Smart wearable devices can collect all the above physiological parameter information.

[0043] Step 220, determining the target physiological activity state of the current user according to the physiological parameter information, the target physiological activity state is one of a plurality of physiological activity states, and the plurality of physiological activity states include: a sleeping state and a sports training state.

[0044] Multiple physiological activity states may include sleeping state, exercise training state, etc. Each physiological activity state may include one or more physiological activity stages. For example, the sleeping state may include four stages: falling asleep (N1), light sleep (N2), deep sleep (N3), and rapid eye movement (REM) sleep. Of course, the sleeping state may also be divided into stages according to other rules. For example, the sleeping state may only include falling asleep and deep sleep. The number and types of physiological activity stages included in different physiological activity states may be different.

[0045] In one embodiment of the present application, determining the target physiological activity state of the current user based on physiological parameter information includes: inputting each physiological parameter information into a preset physiological parameter analysis model to obtain the target physiological activity state output by the physiological parameter analysis model.

[0046] The physiological parameter analysis model may be a model built based on a machine learning model or an artificial intelligence algorithm. The preset physiological parameter analysis model may be one or more models. When the preset physiological parameter analysis model is multiple models, a model may be set for each physiological activity state, and each model is used to determine whether the current user is in the physiological activity state corresponding to the model.

[0047] Step 250, according to the target physiological activity state, a target smart home device group and its working mode that have been pre-matched therewith are obtained, and each smart home device in the target smart home device group is controlled to execute the working mode.

[0048] According to the preset matching rules, the target smart home device working mode and the target smart home device group matching the target physiological activity state can be obtained, and the target smart home device group includes each smart home device associated with the target smart home device working mode. According to the target smart home device working mode, each smart home device associated with the target smart home device working mode can be controlled.

[0049] The solution of the embodiment of the present application can control smart home devices such as lamps, air conditioners, speakers, televisions, projectors, tablet computers, mobile phones, fans, etc. The smart home device groups matching different physiological activity states (i.e., the smart home devices associated with different smart home device working modes) can be the same or different.

[0050] The target smart home device working mode is a control strategy required to control each smart home device associated with the target smart home device working mode.

[0051] The matching relationship between each physiological activity state and the working mode of the smart home device can be preset. After the target physiological activity state is obtained, the target smart home device working mode matching the target physiological activity state can be determined according to the matching relationship.

[0052] Of course, for each physiological activity state, multiple smart home device operating modes can be recommended to the user through the smart wearable device, and then the smart home device operating mode selected by the user from the multiple recommended smart home device operating modes can be used as the smart home device operating mode that matches the physiological activity state; when the user does not select a smart home device operating mode, a smart home device operating mode can be randomly determined as the smart home device operating mode that matches the physiological activity state.

[0053] Smart wearable devices can also allow users to customize the matching relationship between each physiological activity state and the working mode of smart home devices. Specifically, users can customize a set of rules, each rule is a matching relationship between a physiological activity state and a smart home device working mode, where the smart home devices associated with the working mode of the smart home device and the specific control strategy for each smart home device can also be defined by the user; of course, users can also define physiological activity states by themselves, for example, when the user's physiological parameter information meets the predetermined conditions, it can be determined that the user is currently in a certain customized physiological activity state.

[0054] Figure 3 An embodiment according to the present application is shown Figure 2 Flowchart of the steps before step 250 and details of step 250 in the embodiment. Figure 3 As shown, before obtaining a target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target physiological activity state, the control method of the smart home device may include the following steps:

[0055] Step 230: determine the target indoor area where the user is located based on the communication signal of the smart wearable device, where the target indoor area is one of multiple indoor areas.

[0056] The target indoor area where the user is located can be determined based on the communication signal received by the smart wearable device.

[0057] The multiple indoor areas may be multiple rooms, and the target indoor area may be one of the multiple rooms. For example, the multiple indoor areas may include a master bedroom, a living room, a study, etc., and the target indoor area may be the master bedroom.

[0058] Smart wearable devices can be positioned based on Bluetooth signals or WiFi signals to determine which indoor area the user is in. Whether positioning is based on Bluetooth signals or WiFi signals, positioning can be performed using the signal strength method (RSSI, Received Signal Strength Indicator) or the fingerprint matching method (Fingerprinting). For positioning based on WiFi signals, the basic principle of the signal strength method is to infer the distance between the device and the access point (Access Point, AP) by measuring the received WiFi signal strength (RSSI); the basic principle of the fingerprint matching method is to collect signal strength information at different locations in advance to form a fingerprint database. When positioning is required, the signal strength of the current location is measured and matched with the records in the fingerprint database to find the closest record to determine the location. For positioning based on Bluetooth signals, the basic principle of the signal strength method is: Bluetooth beacons broadcast signals periodically, and smart wearable devices receive these signals and measure the signal strength (RSSI), and estimate the distance based on the attenuation of the signal strength; the basic principle of the fingerprint matching method is: select a number of reference points (RPs) in a predetermined area, collect signal strength data from each Bluetooth beacon at these points, and form a fingerprint database. When positioning is required, the signal strength of the current location is measured, matched with the records in the fingerprint database, and the closest record is found to determine the location.

[0059] Of course, other positioning methods can also be used. For example, face recognition can be performed based on a camera, and the face recognition result can be matched with the user using the smart wearable device, and the position of the camera can be matched with the indoor area for positioning; of course, multiple positioning methods can be combined, such as positioning the smart wearable device based on Bluetooth signals or WiFi signals, and after obtaining the first indoor area, the second indoor area is obtained based on face recognition, and the first indoor area is verified using the second indoor area; when the verification passes, the first indoor area is used as the target indoor area finally located.

[0060] Please continue to see Figure 5 , controlling each smart home device in the target smart home device group to execute the working mode, which may specifically include the following steps:

[0061] Step 251, determining the smart home devices corresponding to the target indoor area.

[0062] The smart home device corresponding to the target indoor area may be a smart home device within the target indoor area.

[0063] When networking smart home devices, each indoor area (such as a room) may be associated with the smart home device in the indoor area, thereby establishing a corresponding relationship between each indoor area and the smart home device.

[0064] Step 252: Determine at least one target smart home device belonging to a target smart home device group among the smart home devices corresponding to the target indoor area.

[0065] Among the smart home devices corresponding to the target indoor area, only a portion of the smart home devices may be smart home devices associated with the target smart home device working mode.

[0066] Step 253: Control at least one target smart home device to execute a working mode.

[0067] Each target smart home device is controlled according to a preset target smart home device working mode that matches the target physiological activity state.

[0068] In an embodiment of the present application, before the smart home device is controlled, the target indoor area where the user is located is first determined, and only the smart home devices corresponding to the target indoor area where the user is located are controlled, that is, only the smart home devices that will affect the user are controlled, thereby improving the accuracy of control and avoiding affecting users in other indoor areas.

[0069] Of course, before controlling the smart home device corresponding to the target indoor area, the images captured by the camera can be used to identify whether there are multiple people or other people in the target indoor area. If there are multiple people or other people in the target indoor area, the smart home device corresponding to the target indoor area may not be controlled to avoid affecting other people.

[0070] Figure 4 An embodiment according to the present application is shown Figure 2 Flow chart of details of step 250 in the embodiment. Figure 4 As shown, when the physiological activity state includes at least one physiological activity stage, obtaining a target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target physiological activity state, and controlling each smart home device in the target smart home device group to execute the working mode may specifically include the following steps:

[0071] Step 250', when it is determined based on the physiological parameter information that the current user is in the target physiological activity stage of the target physiological activity state, the target smart home device subgroup and its working submode in the target smart home device group that have been pre-matched with it are obtained according to the target physiological activity stage, and each smart home device in the target smart home device subgroup is controlled to execute the working submode.

[0072] When it is determined according to the physiological parameter information that the current user is in a target physiological activity stage of the target physiological activity state, a target smart home device subgroup matching the target physiological activity stage and a target working submode matching the target physiological activity stage in the target smart home device working mode can be obtained, wherein the target smart home device subgroup includes each smart home device associated with the target working submode. Then, according to the target working submode matching the target physiological activity stage in the working mode of the target smart home device, each smart home device associated with the target working submode of the working mode of the target smart home device is controlled.

[0073] It is easy to understand that the physiological activity state may include one or more physiological activity stages, and the smart home device working mode may also include one or more working sub-modes, each working sub-mode corresponding to a physiological activity stage in the physiological activity state corresponding to the smart home device working mode. The target smart home device group may also include one or more target smart home device sub-groups, each target smart home device sub-group also corresponds to a physiological activity stage in the physiological activity state corresponding to the smart home device working mode.

[0074] The smart home devices associated with different working sub-modes of a smart home device working mode may be the same or different.

[0075] In one embodiment of the present application, the target physiological activity state is a sleep state, and the physiological activity stages of the sleep state include a falling asleep stage and a deep sleep stage. Step 250' may specifically include the following steps: when it is determined according to the physiological parameter information that the current user is in the falling asleep stage of the sleep state, a first target smart home device subgroup and a first working submode in a target smart home device group that have been pre-matched with the user are obtained according to the falling asleep stage, and working state parameters of each smart home device in the first target smart home device subgroup are adjusted according to the first working submode; when it is determined according to the physiological parameter information that the current user is in the deep sleep stage of the sleep state, a second target smart home device subgroup and a second working submode in a target smart home device group that have been pre-matched with the user are obtained according to the deep sleep stage, and the smart home devices in the second target smart home device subgroup are turned off according to the second working submode, or the smart home devices in the second target smart home device subgroup are controlled to enter sleep mode.

[0076] When it is determined according to the physiological parameter information that the current user is in the falling asleep stage of the sleep state, the working state parameters of each smart home device associated with the first working sub-mode are adjusted according to the first working sub-mode matching the falling asleep stage in the working mode of the target smart home device; when it is determined according to the physiological parameter information that the current user is in the deep sleep stage of the sleep state, according to the second working sub-mode matching the deep sleep stage in the working mode of the target smart home device, the smart home devices in the second target smart home device subgroup associated with the second working sub-mode are turned off, or the smart home devices in the second target smart home device subgroup associated with the second working sub-mode are controlled to enter sleep mode.

[0077] The smart home devices in the second target smart home device subgroup associated with the second working sub-mode may be preset smart home devices among the smart home devices associated with the first working sub-mode.

[0078] In one embodiment of the present application, the working status parameters of each smart home device in the first target smart home device subgroup are adjusted according to the first working sub-mode, including: reducing the brightness parameter of at least one smart home device with a lighting function in the first target smart home device subgroup according to a predetermined brightness reduction strategy, reducing the volume parameter of at least one smart home device with a sound function in the first target smart home device subgroup according to a predetermined volume reduction strategy, and reducing the wind speed parameter of at least one smart home device with an airflow generating function in the first target smart home device subgroup according to a predetermined wind speed reduction strategy.

[0079] The first working sub-mode may include a predetermined brightness reduction strategy, a predetermined volume reduction strategy, and a predetermined wind speed reduction strategy.

[0080] The first working sub-mode may be associated with multiple smart home devices with a certain function, but these smart home devices may also have other functions. Therefore, the corresponding parameters of all smart home devices with the function associated with the first working sub-mode may not be adjusted, or only the parameters corresponding to other functions of the smart home devices with the function associated with the first working sub-mode may be adjusted. For example, a TV set has both light-emitting and sound-emitting functions, and only the brightness parameter of the TV set may be adjusted, but not the volume parameter of the TV set.

[0081] When adjusting the working status parameters of each smart home device associated with the first working sub-mode, specifically, only the brightness parameters of the smart home devices associated with the first working sub-mode that are in the light-emitting state can be reduced, only the volume parameters of the smart home devices associated with the first working sub-mode that are in the sound-emitting state can be reduced, and only the wind speed parameters of the smart home devices associated with the first working sub-mode that are in the airflow generating state can be reduced.

[0082] Smart home devices with light-emitting function can be lamps, televisions, tablets, mobile phones and other electronic devices; smart home devices with sound-emitting function can be speakers, televisions, tablets, mobile phones and other electronic devices; smart home devices with airflow generation function can be air conditioners, fans, etc.

[0083] In actual scenarios, there may be more than one person in a room. When a user is falling asleep, if the camera detects that there are other awake users in the room, the working status parameters of the smart home devices that may affect other users may not be adjusted. For example, only the brightness parameters of the user's mobile phone may be adjusted.

[0084] The predetermined brightness reduction strategy may be a brightness reduction curve, the predetermined volume reduction strategy may be a volume reduction curve, and the predetermined wind speed reduction strategy may be a wind speed reduction curve. The brightness reduction curve, the volume reduction curve, and the wind speed reduction curve respectively represent curves of changes in brightness, volume, and wind speed over time.

[0085] There may be multiple preset brightness reduction strategies, and the preset brightness reduction strategies based on which the brightness parameters of different smart home devices with light-emitting functions are controlled may be different; there may be multiple preset volume reduction strategies, and the preset volume reduction strategies based on which the volume parameters of different smart home devices with sound-emitting functions are controlled may be different; there may be multiple preset wind speed reduction strategies, and the preset wind speed reduction strategies based on which the wind speed parameters of different smart home devices with airflow generating functions are controlled may be different.

[0086] Therefore, when you are falling asleep, you can gradually dim the brightness of the current indoor lights, televisions, tablets, mobile phones and other electronic devices, gradually lower the volume of speakers, televisions, tablets, mobile phones and other electronic devices, and the wind speed of the air conditioner will also be reduced.

[0087] When the user enters the deep sleep stage, the lights, TV, tablet computer, and speakers can be turned off or put into sleep mode, and the turning off or sleeping mode occurs after the brightness and volume are adjusted to the lowest level.

[0088] In one embodiment of the present application, the working status parameters of each smart home device in the first target smart home device subgroup are adjusted according to the first working submode, including: within the first preset working time, the brightness parameter of at least one smart home device with a lighting function in the first target smart home device subgroup is reduced to the corresponding target brightness parameter in a step-by-step or stepless manner; within the second preset working time, the volume parameter of at least one smart home device with a sound function in the first target smart home device subgroup is reduced to the corresponding target volume parameter in a step-by-step or stepless manner; within the third preset working time, the wind speed parameter of at least one smart home device with an airflow generating function in the first target smart home device subgroup is reduced to the corresponding target wind speed parameter in a step-by-step or stepless manner.

[0089] In the first target smart home device subgroup, the target brightness parameters corresponding to different smart home devices with light-emitting functions can be the same or different; in the first target smart home device subgroup, the target volume parameters corresponding to different smart home devices with sound-generating functions can be the same or different; in the first target smart home device subgroup, the target wind speed parameters corresponding to different smart home devices with airflow generating functions can be the same or different. The above three preset working durations can be the same or different.

[0090] When adjusting the brightness parameters, volume parameters, and wind speed parameters of the smart home devices in the first target smart home device subgroup, each smart home device may be adjusted in a step-by-step or stepless manner.

[0091] In one embodiment of the present application, the target physiological activity state is an exercise training state; obtaining a target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target physiological activity state, and controlling each smart home device in the target smart home device group to execute the working mode may include the following steps: obtaining a target smart home device group and its working mode that have been pre-matched with the exercise training state according to the exercise training state, and controlling each smart home device in the target smart home device group to execute the working mode in the following manner: increasing the wind speed parameter of at least one smart home device with an airflow generating function in the target smart home device group according to a predetermined wind speed increase strategy, adjusting the temperature parameter of at least one smart home device with a temperature adjustment function in the target smart home device group according to a predetermined temperature adjustment strategy, and adjusting the lighting mode of at least one smart home device with a lighting function in the target smart home device group according to a predetermined lighting control strategy.

[0092] The smart home device with the airflow generating function may be an air conditioner, a fan, a ventilator, etc., the smart home device with the temperature regulating function may be an air conditioner, and the smart home device with the light emitting function may be a lamp, etc.

[0093] When the current physiological activity state is identified as a sports training state, the temperature of the current indoor air conditioner can be adjusted to a preset temperature and the indoor ventilation volume can be increased. The lighting of the lamps can also be adjusted to a preset mode according to the user's habits and preferences.

[0094] Figure 5 An embodiment according to the present application is shown Figure 2 Flowchart of steps before step 250 and steps after step 250 in the embodiment. Figure 5 As shown, before step 250, the control method of the smart home device may include the following steps:

[0095] Step 240: Record the target working state parameters of each smart home device in the current target smart home device group.

[0096] All working status parameters of each smart home device may be recorded, or only the working status parameters that will be adjusted for each smart home device in the target smart home device group under the working mode of the target smart home device may be recorded.

[0097] If it is detected that the user is in the falling asleep stage of the sleeping state or the sports training state, the working state parameters of the smart home devices currently in the room are recorded.

[0098] Please continue to see Figure 5 As shown, after step 250, the control method of the smart home device may include the following steps:

[0099] Step 260 , when it is determined based on the physiological parameter information of the current user that the target physiological activity state of the user ends, each smart home device in the target smart home device group is restored to the corresponding target working state parameter.

[0100] For the sleep state, when the user wakes up, all smart home devices are driven according to the recorded target working state parameters, so that the working state parameters such as brightness and volume of the smart home devices gradually return to the state before the user fell asleep. Of course, for smart home devices that have been dormant or turned off, they must first exit the dormant mode or restart, and then restore the working state parameters.

[0101] For the sports training status, when sports training is detected, all smart home devices are driven according to the recorded working status parameters, so that the temperature, ventilation volume and other working parameters of the smart home devices are restored to the state before the user's sports training.

[0102] To sum up, based on the control method of smart home devices provided in the embodiments of the present application, the human body's physiological activities such as movement and sleep are monitored through smart wearable devices, and the corresponding smart devices are controlled accordingly according to the monitoring results, so that the current indoor environment parameters are more suitable for people's current physiological activities, providing users with higher exercise and sleep comfort.

[0103] The following introduces the system embodiment of the present application, which can be used to execute the control method of the smart home device in the above embodiment of the present application. For details not disclosed in the system embodiment of the present application, please refer to the embodiment of the control method of the smart home device in the above embodiment of the present application.

[0104] Figure 6 FIG. 1 is a block diagram of a control system of a smart home device according to an embodiment of the present application. Figure 6 As shown, according to an embodiment of the present application, a control system 600 of a smart home device includes: a smart wearable device 610, a physiological activity state determination unit 620, a device control unit 630, and a smart home device 640. Among them, the smart wearable device 610 is provided with an information acquisition unit 611, which is used to collect the user's physiological parameter information, and the physiological parameter information includes at least one of the following: heart rate, respiratory rate, body temperature, and exercise training state; the physiological activity state determination unit 620 is used to determine the target physiological activity state of the current user according to the physiological parameter information, and the target physiological activity state is one of a plurality of physiological activity states, and the plurality of physiological activity states include: sleep state, exercise training state; the device control unit 630 is used to obtain the target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target physiological activity state, and send a control instruction to each smart home device in the target smart home device group; the smart home device 640 is used to execute the working mode corresponding to the control instruction according to the control instruction sent by the device control unit 630.

[0105] In some embodiments of the present application, based on the aforementioned scheme, the system also includes an area determination unit; before obtaining a target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target, the area determination unit is used to: determine the target indoor area where the user is located based on the communication signal of the smart wearable device, and the target indoor area belongs to one of multiple indoor areas; the device control unit 630 is configured to: determine the smart home device corresponding to the target indoor area; among the smart home devices corresponding to the target indoor area, determine at least one target smart home device belonging to the target smart home device group; control the at least one target smart home device to execute the working mode.

[0106] In some embodiments of the present application, based on the aforementioned scheme, the system also includes a working state parameter recording unit and a working state parameter recovery unit; before obtaining a target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target physiological activity state, and controlling each smart home device in the target smart home device group to execute the working mode, the working state parameter recording unit is configured to: record the target working state parameters of each smart home device in the current target smart home device group; after obtaining a target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target physiological activity state, and controlling each smart home device in the target smart home device group to execute the working mode, the working state parameter recovery unit is configured to: when it is determined that the target physiological activity state of the user ends according to the current physiological parameter information of the user, restore each smart home device in the target smart home device group to the corresponding target working state parameters.

[0107] In some embodiments of the present application, based on the aforementioned scheme, the physiological activity state includes at least one physiological activity stage; the device control unit 630 is configured as: when it is determined according to the physiological parameter information that the user is currently in the target physiological activity stage of the target physiological activity state, a target smart home device subgroup and its working submode in the target smart home device group that have been pre-matched therewith are obtained according to the target physiological activity stage, and each smart home device in the target smart home device subgroup is controlled to execute the working submode.

[0108] In some embodiments of the present application, based on the aforementioned scheme, the target physiological activity state is a sleep state, and the physiological activity stages of the sleep state include a falling asleep stage and a deep sleep stage; the device control unit 630 is configured as follows: when it is determined according to the physiological parameter information that the current user is in the falling asleep stage of the sleep state, the first target smart home device subgroup and its first working submode in the target smart home device group that have been pre-matched with it are obtained according to the falling asleep stage, and the working state parameters of each smart home device in the first target smart home device subgroup are adjusted according to the first working submode; when it is determined according to the physiological parameter information that the current user is in the deep sleep stage of the sleep state, the second target smart home device subgroup and its second working submode in the target smart home device group that have been pre-matched with it are obtained according to the deep sleep stage, and the smart home devices in the second target smart home device subgroup are turned off according to the second working submode, or the smart home devices in the second target smart home device subgroup are controlled to enter sleep mode.

[0109] In some embodiments of the present application, based on the above-mentioned scheme, the device control unit 630 is configured to: within a first preset working time, reduce the brightness parameter of at least one smart home device with a lighting function in the first target smart home device subgroup to a corresponding target brightness parameter in a step-by-step or stepless manner; within a second preset working time, reduce the volume parameter of at least one smart home device with a sound function in the first target smart home device subgroup to a corresponding target volume parameter in a step-by-step or stepless manner; within a third preset working time, reduce the wind speed parameter of at least one smart home device with an airflow generating function in the first target smart home device subgroup to a corresponding target wind speed parameter in a step-by-step or stepless manner.

[0110] In some embodiments of the present application, based on the aforementioned scheme, the target physiological activity state is an exercise training state; the device control unit 630 is configured to: obtain a target smart home device group and its working mode that have been pre-matched with the exercise training state according to the exercise training state, and control each smart home device in the target smart home device group to execute the working mode in the following manner: increase the wind speed parameter of at least one smart home device with an airflow generating function in the target smart home device group according to a predetermined wind speed increase strategy, adjust the temperature parameter of at least one smart home device with a temperature adjustment function in the target smart home device group according to a predetermined temperature adjustment strategy, and adjust the lighting mode of at least one smart home device with a lighting function in the target smart home device group according to a predetermined lighting control strategy.

[0111] Figure 7 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown.

[0112] It should be noted that Figure 7 The computer system 700 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0113] like Figure 7As shown, the computer system 700 includes a central processing unit (CPU) 701, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 702 or the program loaded from the storage part 708 to the random access memory (RAM) 703, such as executing the method described in the above embodiment. In the RAM 703, various programs and data required for system operation are also stored. The CPU 701, ROM 702 and RAM 703 are connected to each other through a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0114] The following components are connected to the I / O interface 705: an input section 706 including a keyboard, a mouse, etc.; an output section 707 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 708 including a hard disk, etc.; and a communication section 709 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the I / O interface 705 as needed. A removable medium 711, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 710 as needed so that a computer program read therefrom is installed into the storage section 708 as needed.

[0115] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 709, and / or installed from a removable medium 711. When the computer program is executed by a central processing unit (CPU) 701, various functions defined in the system of the present application are executed.

[0116] It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, - but not limited to - an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by an instruction execution system, device or device or used in combination with it. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0117] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that 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 boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0118] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not constitute limitations on the units themselves in some cases.

[0119] As one aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by an electronic device, the electronic device implements the method described in the above embodiment.

[0120] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0121] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the implementation methods of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation methods of the present application.

[0122] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

[0123] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A control method for a smart home device, characterized in that: The method comprises: The user's physiological parameter information is collected through a smart wearable device worn on the user, and the physiological parameter information includes at least one of the following: heart rate, respiratory rate, body temperature, and exercise status; Determine the target physiological activity state of the user according to the physiological parameter information, wherein the target physiological activity state is one of a plurality of physiological activity states, and the plurality of physiological activity states include: a sleeping state and a sports training state; According to the target physiological activity state, a target smart home device group and its working mode that have been pre-matched therewith are acquired, and each smart home device in the target smart home device group is controlled to execute the working mode.

2. The control method of the smart home device according to claim 1, characterized in that: Before obtaining a target smart home device group and its working mode that are pre-matched with the target physiological activity state according to the target physiological activity state, the method further includes: Determine a target indoor area where the user is located based on a communication signal of the smart wearable device, where the target indoor area belongs to one of multiple indoor areas; The controlling each smart home device in the target smart home device group to execute the working mode includes: Determining a smart home device corresponding to the target indoor area; Determine, among the smart home devices corresponding to the target indoor area, at least one target smart home device belonging to the target smart home device group; Control the at least one target smart home device to execute the working mode.

3. The control method of the smart home device according to claim 1, characterized in that: Before obtaining a target smart home device group and its working mode that are pre-matched with the target physiological activity state according to the target physiological activity state, and controlling each smart home device in the target smart home device group to execute the working mode, the method further includes: Recording target working state parameters of each smart home device in the current target smart home device group; After obtaining a target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target physiological activity state, and controlling each smart home device in the target smart home device group to execute the working mode, the method further includes: When it is determined according to the current physiological parameter information of the user that the target physiological activity state of the user ends, each smart home device in the target smart home device group is restored to the corresponding target working state parameter.

4. The control method of the smart home device according to claim 1, characterized in that: The physiological activity state includes at least one physiological activity stage; the step of acquiring a target smart home device group and its working mode that are pre-matched with the target physiological activity state according to the target physiological activity state, and controlling each smart home device in the target smart home device group to execute the working mode includes: When it is determined according to the physiological parameter information that the user is currently in the target physiological activity stage of the target physiological activity state, the target smart home device subgroup and its working submode in the target smart home device group that have been pre-matched with the target physiological activity stage are obtained, and each smart home device in the target smart home device subgroup is controlled to execute the working submode.

5. The control method of the smart home device according to claim 4, characterized in that: The target physiological activity state is a sleeping state, and the physiological activity stages of the sleeping state include a falling asleep stage and a deep sleep stage; when it is determined according to the physiological parameter information that the user is currently in the target physiological activity stage of the target physiological activity state, a target smart home device subgroup and its working submode in a target smart home device group that has been pre-matched with the target physiological activity stage are obtained according to the target physiological activity stage, and each smart home device in the target smart home device subgroup is controlled to execute the working submode, including: When it is determined according to the physiological parameter information that the current user is in the falling asleep stage of the sleep state, a first target smart home device subgroup and a first working submode thereof in a target smart home device group that has been pre-matched with the user are obtained according to the falling asleep stage, and working state parameters of each smart home device in the first target smart home device subgroup are adjusted according to the first working submode; When it is determined according to the physiological parameter information that the current user is in the deep sleep stage of the sleep state, a second target smart home device subgroup and its second working submode in the target smart home device group that have been pre-matched with the deep sleep stage are obtained, and the smart home devices in the second target smart home device subgroup are turned off according to the second working submode, or the smart home devices in the second target smart home device subgroup are controlled to enter sleep mode.

6. The control method of the smart home device according to claim 5, characterized in that: The adjusting the working state parameters of each smart home device in the first target smart home device subgroup according to the first working sub-mode includes: Within a first preset working time, reducing the brightness parameter of at least one smart home device with a lighting function in the first target smart home device subgroup to a corresponding target brightness parameter in a step-by-step or stepless manner; Within the second preset working time, reducing the volume parameter of at least one smart home device with a sound-emitting function in the first target smart home device subgroup to a corresponding target volume parameter in a step-by-step or stepless manner; During the third preset working time, the wind speed parameter of at least one smart home device with an airflow generating function in the first target smart home device subgroup is reduced to a corresponding target wind speed parameter in a step-by-step or stepless manner.

7. The control method of the smart home device according to claim 1, characterized in that: The target physiological activity state is a sports training state; the step of obtaining a target smart home device group and its working mode that are pre-matched with the target physiological activity state according to the target physiological activity state, and controlling each smart home device in the target smart home device group to execute the working mode includes: According to the sports training state, a target smart home device group and its working mode that have been pre-matched therewith are obtained, and each smart home device in the target smart home device group is controlled to execute the working mode in the following manner: a wind speed parameter of at least one smart home device with an airflow generating function in the target smart home device group is increased according to a predetermined wind speed increase strategy, a temperature parameter of at least one smart home device with a temperature adjustment function in the target smart home device group is adjusted according to a predetermined temperature adjustment strategy, and a lighting mode of at least one smart home device with a lighting function in the target smart home device group is adjusted according to a predetermined lighting control strategy.

8. A control system for smart home devices, characterized in that: The system comprises: A smart wearable device, which is provided with an information acquisition unit for collecting physiological parameter information of a user, wherein the physiological parameter information includes at least one of the following: heart rate, respiratory rate, body temperature, and exercise training status; A physiological activity state determination unit, configured to determine a target physiological activity state of the user according to the physiological parameter information, wherein the target physiological activity state is one of a plurality of physiological activity states, and the plurality of physiological activity states include: a sleeping state and a sports training state; A device control unit, configured to obtain a target smart home device group and its working mode that have been pre-matched with the target physiological activity state according to the target physiological activity state, and send a control instruction to each smart home device in the target smart home device group; The smart home device is used to execute a working mode corresponding to the control instruction according to the control instruction sent by the device control unit.

9. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the control method of the smart home device according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enables the one or more processors to implement the control method of the smart home device as described in any one of claims 1 to 7.

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