Sleep monitoring method, device and storage medium

Abstract

The present disclosure relates to a sleep monitoring method, device and storage medium. The method can be applied to an air conditioner, including: receiving user monitoring information sent by at least one smart wearable device that is communicatively connected to the air conditioner; determining the sleep state of the user corresponding to the smart wearable device according to the user monitoring information; determining the last sleep duration of the first user for a first user who is not currently in a sleep state; determining the schedule information of the first user when the last sleep duration is shorter than a preset sleep duration; if the first user has no schedule within the first preset time in the future, sending sleep suggestion information to the first user's smart wearable device to suggest the first user to rest. In this way, when the user's sleep duration is insufficient and he is not currently in a sleep state, if the user has no schedule within a period of time in the future, the air conditioner can suggest the user to rest through the smart wearable device. This is conducive to relieving user fatigue and improving user experience.

Description

Technical Field

[0001] The present disclosure relates to the field of air conditioning, and in particular to a sleep monitoring method, device and storage medium. Background Art

[0002] As air conditioners become more and more popular in daily life, people have higher requirements for the functions of air conditioners. In related technologies, air conditioners can communicate with other electronic devices of users to achieve information transmission and signaling interaction. How to make air conditioners more intelligent is very important to improve user experience. Summary of the invention

[0003] In order to overcome the problems existing in the related art, the present disclosure provides a sleep monitoring method, device and storage medium.

[0004] According to a first aspect of an embodiment of the present disclosure, a sleep monitoring method is provided, which is applied to an air conditioner, and includes: receiving user monitoring information sent by at least one smart wearable device that is communicatively connected to the air conditioner; determining the sleep state of a user corresponding to the smart wearable device based on the user monitoring information; determining, for a first user who is not currently in a sleep state, the last sleep duration of the first user; if the last sleep duration is shorter than a preset sleep duration, determining the schedule information of the first user; if the first user has no schedule within a first preset time period in the future, sending sleep suggestion information to the smart wearable device of the first user, wherein the sleep suggestion information is used to suggest the first user to take a rest.

[0005] In at least one embodiment, the method further includes: in response to the presence of a second user who is currently in a sleeping state, if the target device is currently in an on state, controlling the target device to enter a sleep mode, wherein the target device includes at least one of the following: the air conditioner, and a household device that is communicatively connected to the air conditioner.

[0006] In at least one embodiment, after controlling the target device to enter sleep mode, the method further includes: sending sleep mode prompt information to the smart wearable device of the first user who is not currently in sleep mode, wherein the sleep mode prompt information is used to prompt the first user that the target device is currently in sleep mode.

[0007] In at least one embodiment, the user monitoring information includes user physiological characteristic information and user location information; determining the sleep state of the user corresponding to the smart wearable device based on the user monitoring information includes: when the user physiological characteristic information indicates that the user has fallen asleep, determining that the user is in a sleep state; or, when the user physiological characteristic information indicates that the user has not fallen asleep, but the current time is within the sleep period of the user's habitual sleep curve or the time interval from the start of the sleep period is less than a second preset time length, and the user location information is consistent with the sleep area corresponding to the habitual sleep curve, determining that the user is in a sleep state.

[0008] In at least one embodiment, sending sleep recommendation information to the smart wearable device of the first user includes: if the first user has a schedule after a first preset time period in the future, determining the recommended rest duration based on schedule-related information of the schedule; and sending sleep recommendation information including the recommended rest duration to the smart wearable device of the first user.

[0009] In at least one embodiment, the method also includes: determining a target wake-up time for a second user who is currently in a sleeping state; when the target wake-up time is reached, sending a control instruction to the smart wearable device of the second user, wherein the control instruction is used to control the smart wearable device of the second user to wake up the second user.

[0010] According to a second aspect of an embodiment of the present disclosure, a sleep monitoring device is provided, which is applied to an air conditioner and executes the sleep monitoring method provided in the first aspect, including: a receiving module, configured to receive user monitoring information sent by at least one smart wearable device communicatively connected to the air conditioner; a state determination module, configured to determine the sleep state of a user corresponding to the smart wearable device according to the user monitoring information; a sleep duration determination module, configured to determine the previous sleep duration of a first user who is not currently in a sleep state; a schedule information determination module, configured to determine the schedule information of the first user when the previous sleep duration is shorter than a preset sleep duration; and a sending module, configured to send sleep suggestion information to the smart wearable device of the first user if the first user has no schedule within a first preset time in the future, the sleep suggestion information being used to suggest the first user to take a rest.

[0011] According to a third aspect of an embodiment of the present disclosure, a sleep monitoring device is provided, comprising: a processor; and a memory for storing processor executable instructions; wherein the processor is configured to execute the executable instructions to implement the sleep monitoring method provided in the first aspect above.

[0012] According to a fourth aspect of an embodiment of the present disclosure, a non-temporary computer-readable storage medium is provided, on which computer program instructions are stored, and when the program instructions are executed by a processor, the sleep monitoring method provided in the first aspect is implemented.

[0013] The technical solution provided by the embodiments of the present disclosure may have the following beneficial effects:

[0014] The air conditioner can determine the sleep state of the user corresponding to the smart wearable device based on the user monitoring information sent by the smart wearable device, and for the first user who is not currently in a sleeping state, if the last sleep duration of the first user is shorter than the preset sleep duration, determine the schedule information of the first user. If the first user has no schedule within the first preset time in the future, the air conditioner sends sleep suggestion information to the smart wearable device of the first user to suggest the first user to rest. In this way, if the user's last sleep duration does not reach the healthy sleep duration represented by the preset sleep duration, and the user is not currently in a sleeping state, the air conditioner can determine whether the user has a schedule that needs to be made within a period of time in the future based on the user's schedule information. If not, the air conditioner can send sleep suggestion information to the smart wearable device to convey it to the user through the smart wearable device, suggesting that the user rest for a period of time and make up for sleep. This is conducive to relieving user fatigue and improving user experience.

[0015] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0017] Figure 1 It is a schematic diagram showing an implementation environment according to an exemplary embodiment.

[0018] Figure 2 The figure is a flow chart of a sleep monitoring method according to an exemplary embodiment.

[0019] Figure 3 The figure is a flow chart of a sleep monitoring method according to an exemplary embodiment.

[0020] Figure 4 The figure is a block diagram of a sleep monitoring device according to an exemplary embodiment.

[0021] Figure 5 The figure is a block diagram of a sleep monitoring device according to an exemplary embodiment. DETAILED DESCRIPTION

[0022] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0023] It should be noted that all actions of acquiring signals, information or data in this application are carried out in compliance with the relevant data protection laws and policies of the country where they are located, and with the authorization given by the owner of the corresponding device.

[0024] Figure 1 FIG. 1 is a schematic diagram of an implementation environment according to an exemplary embodiment. Figure 1 As shown, the implementation environment may include an air conditioner 100 and at least one smart wearable device 200, wherein a communication connection may be established between the air conditioner 100 and each smart wearable device 200, for example, via Bluetooth, WiFi, etc. Figure 1 As shown, the implementation environment may further include at least one household device 300, and a communication connection may be established between the air conditioner 100 and each household device 300, for example, via Bluetooth, WiFi, or the like.

[0025] For example, the smart wearable device 200 may be a user device such as a smart phone, a smart bracelet, a smart watch, a smart necklace, a smart clothing, etc. The home device 300 may be a TV, a speaker, a lamp, a projection device, an air purifier, a cleaning robot, etc.

[0026] Figure 2 is a flowchart of a sleep monitoring method according to an exemplary embodiment. Figure 2 As shown, this method is used for air conditioning, e.g. Figure 1 The air conditioner 100 is shown. The method may include the following steps.

[0027] In step S201, user monitoring information sent by at least one smart wearable device that is communicatively connected to the air conditioner is received.

[0028] The air conditioner can establish a communication connection with at least one smart wearable device. The smart wearable device can monitor the status of the user to obtain user monitoring information. For example, in the present disclosure, the smart wearable device can monitor the user's location information, body movement information, physiological characteristic information, etc., wherein the physiological characteristic information can include, but is not limited to: heart rate, respiratory rate, blood pressure, etc. Based on the above information, it can be determined whether the user is currently in a sleeping state.

[0029] In one embodiment, the smart wearable device can determine whether the user is currently in a sleeping state based on the information monitored by itself, and send user monitoring information indicating whether the user is currently in a sleeping state to the air conditioner. In another embodiment, the smart wearable device can send one or more of the above information monitored by itself to the air conditioner as user monitoring information.

[0030] In step S202, the sleep state of the user corresponding to the smart wearable device is determined according to the user monitoring information.

[0031] After receiving the user monitoring information sent by the smart wearable device, the air conditioner can determine the sleep state of the corresponding user based on the user monitoring information.

[0032] In one embodiment, the air conditioner receives user monitoring information indicating whether the user is currently in a sleeping state, and the air conditioner can directly determine whether the user is currently in a sleeping state based on the indication of the user monitoring information. In another embodiment, the user monitoring information received by the air conditioner includes at least one of the following: user location information, user physiological characteristic information, user body movement information, etc. In this case, the air conditioner can analyze the user monitoring information to determine whether the user is currently in a sleeping state.

[0033] In step S203, for the first user who is not currently in a sleeping state, the last sleeping duration of the first user is determined.

[0034] The air conditioner can determine the sleep state of the corresponding user according to the user monitoring information sent by each smart wearable device. If the air conditioner is in communication connection with two or more smart wearable devices, the air conditioner can determine the sleep state of the corresponding two or more users.

[0035] The first user refers to a user who is not currently in a sleeping state. For the first user, the air conditioner can determine the last sleep duration of the first user. For example, the air conditioner can obtain the last sleep duration of the first user from the first user's smart wearable device, or the air conditioner locally records the last sleep duration of the first user.

[0036] In step S204, when the previous sleep duration is shorter than the preset sleep duration, the schedule information of the first user is determined.

[0037] The preset sleep duration may represent a healthy sleep duration that is usually recommended, for example, 8 hours. When the first user's previous sleep duration is less than the healthy sleep duration, the air conditioner first determines the first user's schedule information, and judges whether the first user has a schedule in the future.

[0038] For example, the air conditioner can obtain the schedule information of the first user from the smart wearable device of the first user. In one embodiment, the air conditioner can send an inquiry instruction to the smart wearable device of the first user, wherein the inquiry instruction is used to inquire the smart wearable device whether the first user has a schedule within a first preset time period in the future, and the air conditioner can receive a response instruction returned by the smart wearable device, wherein the response instruction indicates whether the first user has a schedule within the first preset time period in the future. If the response instruction is positive, the air conditioner can determine that the first user has a schedule within the first preset time period in the future, and if the response instruction is negative, the air conditioner can determine that the first user has no schedule within the first preset time period in the future.

[0039] In another embodiment, the air conditioner can obtain the schedule information of the first user from the smart wearable device of the first user, and the acquisition operation can be implemented by the smart wearable device actively sending the schedule information to the air conditioner, or by the air conditioner sending a call instruction to the smart wearable device, and then the smart wearable device responds to the call instruction and sends the schedule information to the air conditioner. The air conditioner can determine whether the first user has a schedule within a first preset time period in the future based on the acquired schedule information of the first user.

[0040] The first preset duration can be preset, and optionally, the first preset duration is set to be greater than the difference between the last sleep duration of the first user and the preset sleep duration. For example, the last sleep duration of the user is 5 hours, the preset sleep duration is 8 hours, and the difference between the last sleep duration and the preset sleep duration is 3 hours. Then, the first preset duration is set to be greater than 3 hours, for example, 4 hours. That is, it is determined whether the first user has a schedule within the next 4 hours.

[0041] In step S205, if the first user has no schedule within a first preset time period in the future, sleep suggestion information is sent to the smart wearable device of the first user, where the sleep suggestion information is used to suggest the first user to rest.

[0042] If the first user has no schedule within a first preset time in the future, the air conditioner sends sleep suggestion information to the first user's smart wearable device. After receiving the sleep suggestion information, the first user's smart wearable device can output it to the user to remind the first user and suggest the first user to take a rest to make up for the lack of sleep last time.

[0043] When the first user's smart wearable device outputs the sleep suggestion information, it can be done in one or more ways such as text prompts, voice prompts, vibration prompts, etc.

[0044] In the above technical solution, the air conditioner can determine the sleep state of the user corresponding to the smart wearable device based on the user monitoring information sent by the smart wearable device, and for the first user who is not currently in a sleep state, if the last sleep duration of the first user is shorter than the preset sleep duration, determine the schedule information of the first user. If the first user has no schedule within the first preset time in the future, the air conditioner sends sleep suggestion information to the smart wearable device of the first user to suggest the first user to rest. In this way, when the user's last sleep duration does not reach the healthy sleep duration represented by the preset sleep duration, and the user is not currently in a sleep state, the air conditioner can determine whether the user has a schedule that needs to be made within a period of time in the future based on the user's schedule information. If not, the air conditioner can send sleep suggestion information to the smart wearable device to convey it to the user through the smart wearable device, suggesting that the user take a rest for a period of time and make up for sleep. This is conducive to relieving user fatigue and improving user experience.

[0045] Figure 3 is a flowchart of a sleep monitoring method according to an exemplary embodiment. Figure 3 As shown, the method may further include the following steps:

[0046] In step S206 , in response to the second user currently being in a sleeping state, if the target device is currently in an on state, the target device is controlled to enter a sleeping mode.

[0047] The target device may include at least one of the following: an air conditioner, and a home device that is communicatively connected to the air conditioner. The second user refers to a user who is currently in a sleeping state.

[0048] If the air conditioner determines that there is currently a second user in a sleeping state based on the user monitoring information sent by the smart wearable device, and the target device is currently turned on, the air conditioner can control the target device to enter sleep mode. For example, the target device includes the air conditioner itself. Then, if there is currently a second user and the air conditioner is turned on, the air conditioner can enter sleep mode to provide the second user with an ambient temperature suitable for sleep. For another example, the target device includes home appliances connected to the air conditioner, such as a TV, a speaker, a projection device, a lamp, and the like. In this way, if there is currently a second user and the home appliance is turned on, the air conditioner can send corresponding instructions to the home appliance to put the home appliance into sleep mode. For example, control the TV volume to decrease and the brightness to dim, control the speaker volume to decrease, control the lamp light brightness to dim, control the projection device volume to decrease and the brightness to dim, etc., to create an ambient atmosphere suitable for sleep for the second user.

[0049] In at least one embodiment, there may be multiple users in the environment where the air conditioner is located, some of whom are in sleep mode, and other users are not in sleep mode, that is, the first user and the second user exist at the same time. Because of the presence of the second user, the target device in the turned-on state will enter the sleep mode. In this case, the sleep monitoring method provided by the present disclosure may also include:

[0050] Sending sleep mode prompt information to a smart wearable device of a first user who is not currently in a sleep state, wherein the sleep mode prompt information is used to prompt the first user that the target device is currently in a sleep mode.

[0051] After receiving the sleep mode prompt information, the first user's smart wearable device can output a corresponding prompt to the first user, so that the first user knows that the target device is currently in sleep mode, and can also know that there is a second user who is currently sleeping. In this way, it is helpful for the first user to help create a surrounding environment suitable for sleeping for the second user. For example, after receiving the sleep mode prompt information, the first user can turn off the corresponding home appliance.

[0052] In at least one embodiment, the user monitoring information may include user physiological characteristic information and user location information. In this case, step S202 may further include:

[0053] When the user's physiological characteristic information indicates that the user has fallen asleep, determining that the user is in a sleeping state; or

[0054] When the user's physiological characteristic information indicates that the user has not fallen asleep, but the current time is within the sleep period of the user's habitual sleep curve or the time interval from the start of the sleep period is less than a second preset duration, and the user's position information is consistent with the sleep area corresponding to the habitual sleep curve, it is determined that the user is in a sleeping state.

[0055] The air conditioner can determine the user's sleeping state based on the user monitoring information. If the user's physiological characteristic information indicates that the user has fallen asleep, it is determined that the user is in a sleeping state. The air conditioner can match the user's physiological characteristic information with the preset physiological characteristic information indicating that the user has fallen asleep. If the match is successful, it can be determined that the user has fallen asleep and is in a sleeping state.

[0056] If the user's physiological characteristic information indicates that the user has not fallen asleep, for example, the user's physiological characteristic information does not match the preset physiological characteristic information indicating that the user has fallen asleep, it is further determined whether the current time is in or close to the sleep period of the user's habitual sleep curve, and whether the user's current position is consistent with the sleep area corresponding to the habitual sleep curve.

[0057] Among them, each user can have his own habitual sleep curve, which can reflect the corresponding user's sleeping habits. For example, user A's habitual schedule is to sleep between 22:00 and 6:00 in the morning, and user B's habitual schedule is to sleep between 8:00 in the morning and 4:00 in the afternoon. Then, the sleeping periods in the habitual sleep curves of these two users are: 22:00 at night-6:00 in the morning, and 8:00 in the morning to 4:00 in the afternoon. The habitual sleep curves of different users may be different. In addition, the habitual sleep curve also corresponds to a sleeping area, which reflects the user's habitual sleeping position, for example, user A is accustomed to sleeping at home in the first position, or is accustomed to sleeping in the first room at home, and user B is accustomed to sleeping at home in the second position, or is accustomed to sleeping in the second room at home. The user's historical habitual sleeping position can be used as the sleeping area associated with the habitual sleep curve, for example, the above-mentioned first position and second position, or the above-mentioned first room and second room.

[0058] If the user's physiological characteristic information indicates that the user has not fallen asleep, but the current time is within the sleep period of the user's habitual sleep curve, and the user's location information is consistent with the sleep area corresponding to the habitual sleep curve, it means that the user is ready to fall asleep, and at this time, the user is determined to be in a sleeping state. For example, the sleep period of the habitual sleep curve is 22:00 pm-6:00 am, the current time is 22:30 pm, and the user's location is consistent with the sleep area corresponding to the habitual sleep curve, then the user is determined to be in a sleeping state.

[0059] Alternatively, if the user's physiological characteristic information indicates that the user has not fallen asleep, but the current time is less than the second preset time from the start of the sleep period of the user's habitual sleep curve, and the user's location information is consistent with the sleep area corresponding to the habitual sleep curve, it means that the user is ready to fall asleep, and at this time, it is determined that the user is in a sleeping state. Among them, the second preset time is used to determine whether the user is ready to fall asleep. For example, the second preset time is 30 minutes, the sleep period of the habitual sleep curve is 22:00-6:00 in the morning, the current time is 21:55 in the evening, and the time interval between the current time and the start of the sleep period is 5 minutes, which is less than the second preset time, and the user's location is consistent with the sleep area corresponding to the habitual sleep curve, then it is determined that the user is in a sleeping state.

[0060] That is, in the above embodiment, a user who has not fallen asleep successfully but is ready to fall asleep is also regarded as a user in a sleeping state.

[0061] In at least one embodiment, step S205 may further include:

[0062] If the first user has a schedule after a first preset time in the future, determining a recommended rest time according to schedule-related information of the schedule;

[0063] Sending sleep advice information including the recommended rest duration to the smart wearable device of the first user.

[0064] Among them, if the first user has no schedule within the first preset time in the future, but has a schedule after the first preset time, then in order not to delay the first user's subsequent schedule, the air conditioner can determine the recommended rest time according to the schedule-related information of the schedule. For example, the schedule-related information may include but is not limited to one or more of the following: the schedule start time, the schedule location, the travel time required from the current location to the schedule location, the importance of the schedule, etc. According to the schedule-related information, the recommended rest time for the user can be determined without delaying the user's schedule. For example, if the schedule starts 1 hour after the first preset time, and the travel time required from the current location to the schedule location is 30 minutes, then the recommended rest time can be the first preset time minus the travel time; if the travel time required from the current location to the schedule location is about 1.5 hours, then the recommended rest time can be at most the duration from the current time to 0.5 hours before the end of the first preset time. In addition, the recommended break time can be shortened based on the importance of the schedule. For example, the recommended break time for an important schedule can be shorter than that for an unimportant schedule. This way, users can reserve time to prepare for the meeting.

[0065] In at least one embodiment, it is recommended that the rest duration does not exceed a first preset duration.

[0066] After determining the recommended rest time, the air conditioner can send sleep advice information including the recommended rest time to the smart wearable device of the first user, so as to provide the recommended rest time while advising the first user to rest.

[0067] In at least one embodiment, the method may further include:

[0068] For a second user who is currently in a sleeping state, determining a target wake-up time for the second user;

[0069] When the target wake-up time is reached, a control instruction is sent to the smart wearable device of the second user, where the control instruction is used to control the smart wearable device of the second user to wake up the second user.

[0070] Among them, for the second user who is currently in a sleeping state, the end time of the sleep period of the second user's usual sleep curve can be used to determine the target wake-up time of the second user, or, if the second user is a user who successfully falls asleep after being recommended to rest by the method provided in the present disclosure, the target wake-up time for the user can be determined based on the above-mentioned recommended rest duration. When the target wake-up time is reached, the air conditioner can send a control instruction to the second user's smart wearable device to control the second user's smart wearable device to wake up the second user. For example, the air conditioner can wake up the second user by controlling the second user's smart wearable device to vibrate, and / or the air conditioner can wake up the second user by controlling the second user's smart wearable device to make a sound.

[0071] In addition to waking up the second user, the air conditioner may also control the corresponding target device to exit the sleep mode to restore to the operating mode before entering the sleep mode.

[0072] Figure 4 FIG4 is a block diagram of a sleep monitoring device 400 according to an exemplary embodiment. As shown in FIG4 , the sleep monitoring device 400 can be applied to an air conditioner to perform the above sleep monitoring method, including:

[0073] The receiving module 410 is configured to receive user monitoring information sent by at least one smart wearable device that is communicatively connected to the air conditioner;

[0074] The state determination module 420 is configured to determine the sleep state of the user corresponding to the smart wearable device according to the user monitoring information;

[0075] The sleep duration determination module 430 is configured to determine the last sleep duration of the first user who is not currently in a sleep state;

[0076] The schedule information determination module 440 is configured to determine the schedule information of the first user when the previous sleep duration is shorter than a preset sleep duration;

[0077] The sending module 450 is configured to send sleep suggestion information to the smart wearable device of the first user if the first user has no schedule within a first preset time period in the future, where the sleep suggestion information is used to suggest the first user to take a rest.

[0078] In at least one embodiment, the sleep monitoring device 400 may further include:

[0079] The control module is configured to control the target device to enter a sleep mode in response to the presence of a second user who is currently in a sleeping state, if the target device is currently turned on, wherein the target device includes at least one of the following: the air conditioner, and a household device that is communicatively connected to the air conditioner.

[0080] In at least one embodiment, the sending module 450 is further configured to send sleep mode prompt information to the smart wearable device of the first user who is not currently in a sleep state after the control module controls the target device to enter the sleep mode, and the sleep mode prompt information is used to prompt the first user that the target device is currently in sleep mode.

[0081] In at least one embodiment, the user monitoring information includes user physiological characteristic information and user location information; the sleep duration determination module 430 is further configured to:

[0082] In the case where the user physiological characteristic information indicates that the user has fallen asleep, determining that the user is in a sleeping state; or,

[0083] When the user physiological characteristic information indicates that the user has not fallen asleep, but the current time is within the sleep period of the user's habitual sleep curve or the time interval from the start of the sleep period is less than a second preset duration, and the user position information is consistent with the sleep area corresponding to the habitual sleep curve, it is determined that the user is in a sleep state.

[0084] In at least one embodiment, the sending module 450 is further configured to:

[0085] If the first user has a schedule after a first preset time in the future, determining a recommended rest time according to schedule-related information of the schedule;

[0086] Sending sleep advice information including the recommended rest duration to the smart wearable device of the first user.

[0087] In at least one embodiment, the sleep monitoring device 400 further includes:

[0088] a wake-up time determination module, configured to determine a target wake-up time for a second user who is currently in a sleeping state;

[0089] The control module is configured to send a control instruction to the smart wearable device of the second user when the target wake-up time is reached, wherein the control instruction is used to control the smart wearable device of the second user to wake up the second user.

[0090] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0091] Figure 5 is a block diagram of a sleep monitoring device 600 according to an exemplary embodiment. Figure 5 , the apparatus 600 may include one or more of the following components: a processing component 602 , a memory 604 , a power component 606 , an input / output interface 612 , a sensor component 614 , and a communication component 616 .

[0092] The processing component 602 generally controls the overall operation of the device 600, such as operations associated with display, data communication, and recording operations. The processing component 602 may include one or more processors 620 to execute instructions to complete all or part of the steps of the sleep monitoring method described above. In addition, the processing component 602 may include one or more modules to facilitate interaction between the processing component 602 and other components.

[0093] The memory 604 is configured to store various types of data to support operations on the device 600. Examples of such data include instructions for any application or method operating on the device 600, control parameters of the air conditioner indoor unit and / or the air conditioner outdoor unit, etc. The memory 604 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as a static random access memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic memory, a flash memory, a magnetic disk, or an optical disk.

[0094] The power supply component 606 provides power to the various components of the device 600. The power supply component 606 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 600.

[0095] The input / output interface 612 provides an interface between the processing component 602 and a peripheral interface module, which may be a button, a switch, etc. These buttons may include but are not limited to: a start button and a lock button.

[0096] The sensor assembly 614 includes one or more sensors for providing status assessment of various aspects for the device 600 .

[0097] The communication component 616 is configured to facilitate wired or wireless communication between the device 600 and other devices. The device 600 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 616 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 616 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0098] In an exemplary embodiment, the device 600 can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above-mentioned sleep monitoring method.

[0099] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 604 including instructions, and the instructions can be executed by a processor 620 of the device 600 to perform the above sleep monitoring method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0100] In another exemplary embodiment, a computer program product is also provided. The computer program product includes a computer program executable by a programmable device. The computer program has a code portion for executing the above sleep monitoring method when executed by the programmable device.

[0101] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the present disclosure. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not disclosed in the present disclosure. The specification and examples are to be considered as exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0102] It should be understood that the present disclosure is not limited to the exact 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 disclosure is limited only by the appended claims.

Claims

1. A sleep monitoring method, characterized in that: Applied to air conditioning, including: Receiving user monitoring information sent by at least one smart wearable device that is communicatively connected to the air conditioner; Determining the sleep state of the user corresponding to the smart wearable device according to the user monitoring information; For a first user who is not currently in a sleeping state, determining a previous sleeping duration of the first user; In a case where the previous sleep duration is shorter than a preset sleep duration, determining the schedule information of the first user; If the first user has no schedule within a first preset time period in the future, sleep suggestion information is sent to the smart wearable device of the first user, where the sleep suggestion information is used to suggest the first user to take a rest.

2. The method according to claim 1, characterized in that The method further comprises: In response to the second user currently being in a sleeping state, if the target device is currently turned on, the target device is controlled to enter a sleep mode, wherein the target device includes at least one of the following: the air conditioner, and a household device that is communicatively connected to the air conditioner.

3. The method according to claim 2, characterized in that After controlling the target device to enter the sleep mode, the method further includes: Sending sleep mode prompt information to a smart wearable device of a first user who is not currently in a sleep state, wherein the sleep mode prompt information is used to prompt the first user that the target device is currently in a sleep mode.

4. The method according to claim 1, characterized in that: The user monitoring information includes user physiological characteristic information and user location information; and determining the sleep state of the user corresponding to the smart wearable device according to the user monitoring information includes: In the case where the user physiological characteristic information indicates that the user has fallen asleep, determining that the user is in a sleeping state; or, When the user physiological characteristic information indicates that the user has not fallen asleep, but the current time is within the sleep period of the user's habitual sleep curve or the time interval from the start of the sleep period is less than a second preset duration, and the user position information is consistent with the sleep area corresponding to the habitual sleep curve, it is determined that the user is in a sleep state.

5. The method according to claim 1, characterized in that The sending sleep advice information to the smart wearable device of the first user includes: If the first user has a schedule after a first preset time in the future, determining a recommended rest time according to schedule-related information of the schedule; Sending sleep advice information including the recommended rest duration to the smart wearable device of the first user.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: For a second user who is currently in a sleeping state, determining a target wake-up time for the second user; When the target wake-up time is reached, a control instruction is sent to the smart wearable device of the second user, where the control instruction is used to control the smart wearable device of the second user to wake up the second user.

7. A sleep monitoring device, characterized in that: Applied to air conditioning, the sleep monitoring method according to any one of claims 1 to 6 is implemented, comprising: A receiving module, configured to receive user monitoring information sent by at least one smart wearable device that is communicatively connected to the air conditioner; A state determination module is configured to determine the sleep state of the user corresponding to the smart wearable device according to the user monitoring information; a sleep duration determination module, configured to determine, for a first user who is not currently in a sleep state, a previous sleep duration of the first user; a schedule information determination module, configured to determine the schedule information of the first user when the previous sleep duration is shorter than a preset sleep duration; The sending module is configured to send sleep suggestion information to the smart wearable device of the first user if the first user has no schedule within a first preset time period in the future, where the sleep suggestion information is used to suggest the first user to take a rest.

8. A sleep monitoring device, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor is configured to execute the executable instructions to implement the method according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the program instructions are executed by a processor, the steps of the method described in any one of claims 1 to 6 are implemented.

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