CN113691428A - Intelligent awakening method and device, electronic equipment and storage medium - Google Patents
Intelligent awakening method and device, electronic equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
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- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The embodiment of the application discloses an intelligent awakening method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a target user to be awakened and a target area where the target user is located; acquiring strategy influence factor information of the target area; determining a target awakening strategy corresponding to the target user from a plurality of preset awakening strategies based on the strategy influence factor information; and awakening the target user through the target awakening strategy. By means of the method and the device, the target awakening strategy corresponding to the target user is determined from the multiple preset awakening strategies according to the strategy influence factor information, the target awakening strategy corresponds to the environment where the current user is located and the user state, the target user is awakened based on the determined target awakening strategy, the probability of awakening the target user can be improved, and the intelligent degree of sleep awakening of the user is also improved.
Description
Technical Field
The application belongs to the field of smart home, and particularly relates to an intelligent awakening method and device, electronic equipment and a storage medium.
Background
Along with the development of the internet of things and hardware products, many intelligent devices have a wake-up function, such as an intelligent sound box, or a household appliance with a sound playing function, and the user can set wake-up time. The intelligence degree of the related awakening method is still to be improved.
Disclosure of Invention
In view of the foregoing, the present application provides an intelligent wake-up method, apparatus, electronic device, and storage medium to improve the foregoing problems.
In a first aspect, an embodiment of the present application provides an intelligent wake-up method, where the method includes: determining a target user to be awakened and a target area where the target user is located; acquiring strategy influence factor information of the target area; determining a target awakening strategy corresponding to the target user from a plurality of preset awakening strategies based on the strategy influence factor information; and awakening the target user through the target awakening strategy.
In a second aspect, an embodiment of the present application provides an intelligent wake-up apparatus, where the apparatus includes: the device comprises a first determining unit, a second determining unit and a control unit, wherein the first determining unit is used for determining a target user to be awakened and a target area where the target user is located; the information acquisition unit is used for acquiring the strategy influence factor information of the target area; a second determining unit, configured to determine, based on the policy impact factor information, a corresponding target wake-up policy from among multiple preset wake-up policies; and the awakening unit is used for awakening the target user through the target awakening strategy.
In a third aspect, an embodiment of the present application provides an electronic device, including one or more processors and a memory; one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the methods described above.
In a fourth aspect, the present application provides a computer-readable storage medium, in which a program code is stored, wherein the program code performs the above-mentioned method when running.
The embodiment of the application provides an intelligent awakening method and device, electronic equipment and a storage medium. The method comprises the steps of firstly determining a target user to be awakened and a target area where the target user is located, then obtaining strategy influence factor information of the target area, determining a target awakening strategy corresponding to the target user from a plurality of preset awakening strategies based on the strategy influence factor information, and finally awakening the target user through the target awakening strategy. The target awakening strategy determined by the method corresponds to the environment where the current user is located and the user state, and the target user is awakened based on the determined target awakening strategy, so that the probability of awakening the target user can be improved, and the intelligent degree of sleep awakening of the user is also improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 illustrates an application scenario diagram of an intelligent wake-up method according to an embodiment of the present application;
fig. 2 shows a flowchart of an intelligent wake-up method according to an embodiment of the present application;
fig. 3 is a flowchart illustrating a smart wake-up method according to another embodiment of the present application;
fig. 4 shows a flowchart of a smart wake-up method according to another embodiment of the present application;
FIG. 5 is a flow chart illustrating a smart wake-up method according to yet another embodiment of the present invention;
fig. 6 shows a block diagram of an intelligent wake-up apparatus according to an embodiment of the present application;
fig. 7 shows a block diagram of an intelligent wake-up apparatus according to an embodiment of the present application;
FIG. 8 is a block diagram of an electronic device for executing the smart wake-up method according to an embodiment of the present application in real time;
fig. 9 illustrates a storage unit for storing or carrying program codes for implementing the smart wake-up method according to an embodiment of the present application in real time.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Sleep is an important part of human daily life, and the quality of sleep has great influence on various aspects of mind and body, such as fatigue, emotion, attention, concentration and the like. High quality sleep can vary greatly in the quality of life of people.
With the development of science and technology, smart homes have increasingly entered thousands of households, consumers have more clear and strong demands for improving sleep quality, and the demands for smart bedding capable of improving sleep quality and life quality are synchronously improved. The artificial intelligence and the sleep are integrated across the boundary, deep learning is achieved, and the big data are energized, so that people can know the sleep scientifically and knowingly, the sleep is changed from simple physiological behaviors into key nodes for improving the life style, the whole-cycle perception of the health ecology of people is completed through the datamation and the intellectualization of the black holes of the people who feel but are unaware of the sleep, and the smart home ecology with flexibility is started.
The inventor finds in research on a related smart wake-up method that a sleep wake-up device mainly includes a smart band and a sleep breathing lamp. The intelligent bracelet selects to awaken the user in a vibration mode through monitoring the sleep cycle of the user, and the user is awakened by the sleep breathing lamp through the cooperation of light and music. Obviously, most of the intelligent awakening devices in the market are single devices, the awakening mode is single, the single awakening mode cannot meet the requirements of users naturally, and the awakening effect is poor.
Therefore, the inventor proposes that in the present application, a target user to be woken up and a target area where the target user is located are first determined, then policy impact factor information of the target area is obtained, based on the policy impact factor information, a target wake-up policy corresponding to the target user is determined from a plurality of preset wake-up policies according to the policy impact factor information, different policy impact factors correspond to different target wake-up policies, and then the target user can be woken up based on different target wake-up policies, so that a probability of waking up the target user is improved, an intelligent degree of a wake-up method is also improved, and a user wake-up experience is improved.
Referring to fig. 1, fig. 1 shows an application environment schematic diagram of the intelligent wake-up method according to an embodiment of the present application, and specifically, the intelligent wake-up method according to the embodiment of the present application may be applied to an intelligent device control system 100 shown in fig. 1, where the intelligent device control system 100 may include an intelligent control panel 110 and an intelligent device 120, where the intelligent control panel 110 is in communication connection with the intelligent device 120. The smart control panel 110 may control the smart device 120 to adjust the operating state and operating parameters of the smart device.
The number of the smart control panels 110 may be one or more, and the specific number is not limited herein. It can be understood that the intelligent control panel 110 may be used as a user operation inlet, may communicate with peripheral intelligent home devices and control the intelligent home devices, may access and output text, pictures and audio/video information in a wireless or wired communication manner, or may forward server-side information to a local or playing device for display, etc.
The number of the smart devices 120 may be one or more, and the specific number is not limited herein. Alternatively, the smart device 120 may include, but is not limited to, a smart fan, a smart speaker, a smart air conditioner, a smart light fixture, a smart alarm clock, a smart window shade, a smart control panel, and the like.
Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
Referring to fig. 2, an intelligent wake-up method provided in an embodiment of the present application is applied to an electronic device, such as an intelligent control panel, and the method includes:
step S110, determining a target user to be awakened and a target area where the target user is located.
In the embodiment of the application, the user needs to set the awakening event in advance, and the awakening event can be set through the mobile terminal APP and also can be set through the intelligent control panel. When the wake-up event only includes the wake-up time, the target user to be woken up may be defaulted as the user setting the wake-up event. Further, the wake-up time may further include at least one wake-up object, and at this time, the target user to be woken up is an explicit wake-up object in the wake-up event.
Specifically, the electronic device may pre-store the identity information of the user, and then before the user needing to be waken up is waken up by the wake-up policy in the electronic device, the identity information of the user needing to be waken up may be verified to determine the target user to be wakened up. The identity information may include face information, voiceprint information, or login account information of the user, and the unique user information may be identified, which is not specifically limited herein.
It should be noted that, the step of determining the target user to be woken up and the target area where the target user is located may be performed at a preset time before the wake-up time, for example, the last 5 minutes, or the last 1 minute, and is not limited specifically.
As an embodiment, after determining the target user, it is determined whether the target user needs to be woken up. Specifically, it may be determined whether the user is in a sleep state by acquiring behavior information of the user. Specifically, the behavior information of the user may include a respiratory frequency or an electroencephalogram signal, and a preset respiratory frequency or an electroencephalogram signal size may be preset, where the preset respiratory frequency or the electroencephalogram signal size is a critical value that can determine that the user is in a sleep state. Furthermore, the breathing frequency or the electroencephalogram signal of the target user can be acquired in real time, the breathing frequency of the target user is compared with the preset breathing frequency, or the electroencephalogram signal of the target user is compared with the preset electroencephalogram signal, and whether the target user is in a sleep state or not can be determined. The behavior information of the user can also be displacement information, if the user displaces within a preset time range before the awakening time is reached and the displacement exceeds a preset displacement threshold value, the user is judged not to be in the sleep state currently, otherwise, if the user does not displace or the displacement does not exceed the preset displacement threshold value, the user is judged to be still in the sleep state currently. Whether the user is in the sleep state may also be determined by other schemes, which are not limited herein. And when the target user is determined to be in the sleep state, judging that the target user is to be awakened, and when the target user is determined to be in the non-sleep state, judging that the target user does not need to be awakened.
And after the target user to be awakened is determined through the steps, acquiring the position information of the target user, and determining the target area where the target user is located based on the position information of the target user. The location information may be a house identifier corresponding to a location where the target user is located. Specifically, the position information of the target user may be obtained through a position detection device, where the position detection device may include one or more of a position detection sensor, an image acquisition unit, and a voiceprint acquisition unit, where the position detection sensor may be an ultrasonic position sensor, a capacitive position sensor, and the like, and the position detection device may also be a radar. Taking the position detection device as an image acquisition unit as an example, image acquisition units are uniformly distributed in different rooms, images of corresponding areas are acquired through the image acquisition units of all the rooms, user identification is carried out on the acquired images, the image acquisition unit corresponding to the image of the target user is determined, and the house identification and the corresponding target area are determined according to the room where the image acquisition unit is located.
And step S120, acquiring the strategy influence factor information of the target area.
In an embodiment of the present application, the policy impact factor information may include at least one of environment information, area location orientation information, user information, and device energy consumption information of the smart device.
The environment information may include weather information of the target area (for example, weather is sunny day or cloudy day, etc.), brightness information of the environment where the target area is located (for example, brightness is 40%), temperature information of the target area (for example, temperature is 30 ℃), and the like. Specifically, a weather application can be added to the intelligent control panel, and after the weather application is started, the weather information of the target area can be automatically acquired through the weather application. Optionally, the brightness information of the environment where the target area is located may be obtained through a photosensitive module in the intelligent control panel, and the temperature information of the target area may be obtained through a temperature sensor in the intelligent control panel.
The zone location orientation information may include whether the target zone has a window, and if a window is in the target zone, orientation information of the window (e.g., the window faces south), etc. Specifically, the house drawing can be stored in a storage area of the intelligent control panel or the cloud server in advance, and when the house drawing needs to be read, the house drawing can be acquired in real time, and the area position orientation information can be determined by identifying the house drawing corresponding to the target area. As one mode, position information and orientation information of a window of a target area are clearly marked in a house drawing corresponding to the target area, and therefore, whether the target area includes the window can be determined directly by identifying whether the house drawing is marked with the orientation information of the window. Alternatively, the orientation information of the window may be determined according to the orientation mark in the house drawing. Specifically, an orientation mark can be set at the upper left corner or the upper right corner of the house drawing, and orientation information of each area or object in the house drawing can be determined through the orientation mark. Of course, only the orientation mark in the house drawing is not available, the house drawing should have the mark representing the window, and then whether the house drawing corresponding to the target area has the corresponding mark to determine whether the target area includes the window, if the house drawing has the mark of the window, the target area can be determined to include the window, and then the orientation information of the window can be determined through the orientation mark on the house drawing. Wherein, the orientation mark is used for the user to distinguish different directions.
Optionally, the house drawing in the embodiment of the present application may be a drawing that only includes the target area, or may be a drawing of the whole house that includes the target area and other areas. When the house drawing is the drawing of the whole house including the target area and other areas, the house identification of the target area can be obtained, the specific position of the target area in the house drawing is determined from the house drawing according to the house identification of the target area, and whether the window is included in the target area or not and the orientation information of the window if the window is included are determined through the steps.
The user information may include user expected arousal emotions, user historical arousal records, user sleep information, and the like.
The device energy consumption information may include energy consumption of all wake-up devices corresponding to each of the various preset wake-up policies. Specifically, the corresponding relationship between the preset wake-up policy and the intelligent device may be pre-established, and the intelligent device corresponding to each preset wake-up policy may be determined according to the corresponding relationship, so as to determine the device energy consumption corresponding to the preset wake-up policy. Wherein, the smart device can include intelligent (window) curtain, intelligent alarm clock, intelligent lamps and lanterns and audio playback equipment etc.. The intelligent control panel and each intelligent device in the embodiment of the application are in communication connection, so that the intelligent control panel can independently control each intelligent device to work and can also jointly control a plurality of intelligent devices to work together.
Specifically, when the policy impact factor information is different, the methods for acquiring the policy impact factor information are different, and therefore, in order to acquire complete policy impact factor information, the corresponding policy impact factor information can be acquired by the above-mentioned methods at the same time. Optionally, in order to ensure that complete and comprehensive policy impact factor information is acquired, a time period for acquiring information may be set, and all policy impact factor information of the target area may be acquired in the time period.
Step S130, based on the strategy influence factor information, determining a target awakening strategy corresponding to the target user from a plurality of preset awakening strategies.
The preset wake-up strategies may include a natural light wake-up strategy, a lighting wake-up strategy, a sound wake-up strategy, a natural light plus sound wake-up strategy, a lighting plus sound wake-up strategy, and the like, where the preset wake-up strategies are different in control of the corresponding intelligent devices, for example, the natural light wake-up strategy is to open a curtain, the lighting wake-up strategy is to open an intelligent lamp, the sound wake-up strategy is to open an audio playing device to play music, and the like, and are not specifically limited herein.
After the strategy influence factor information of the target area is obtained, the corresponding target wake-up strategy can be quickly determined. In the embodiment of the application, the corresponding relation between the policy impact factor combination and the multiple preset wake-up policies can be pre-established, and then after the policy impact factor information of the target area is obtained, the corresponding relation can be searched, so that the target wake-up policy corresponding to the target user can be quickly determined.
In the embodiment of the application, the policy impact factor combinations corresponding to different wake-up policies are different, wherein the policy impact factor combinations include the policy impact factor types and the specific information of the policy impact factors.
For example, the combination of the policy impact factors corresponding to the natural light wake-up policy includes: the awakening time is in a specified time period, the weather information is clear, and the position orientation information corresponding to the target area is windowed and faces south; the strategy influence factor combination corresponding to the light awakening strategy comprises the following steps: the awakening time is in a non-specified time period, or the awakening time is in a specified time period, the weather information is negative, or the awakening time is in a specified time period, and the position orientation information corresponding to the target area is windowless or windowless but does not face south; the strategy influence factor combination corresponding to the natural light awakening and sound awakening strategy comprises the following steps: the awakening time is in a designated time period, the weather information is cloudy or clear, the position orientation information corresponding to the target area is windowed but not southward, and the like.
As another embodiment, the target wake policy may also be determined based on the policy impact factor information and the historical wake records. Illustratively, historical wake-up records within a preset historical time (for example, in a last half month) are acquired, and include historical wake-up policies and corresponding historical policy influence factor information, and the historical wake-up policies corresponding to the historical policy influence factor information that is the same as the currently acquired policy influence factor information are taken as current target wake-up policies by comparing the currently acquired policy influence factor information with the historical policy influence factor information. Further, in order to improve the accuracy of determining the target wake-up policy according to the historical wake-up record, the historical wake-up record is a wake-up record of a time period to which the wake-up time corresponding to the current wake-up event belongs, for example, when the wake-up time corresponding to the current wake-up event is 8:10AM and the time period to which the wake-up time belongs is 7:00AM-8:30AM, the historical wake-up record corresponding to the time period to which the historical wake-up time belongs to 7:00AM-8:30AM is obtained, and the target wake-up policy is determined from the historical wake-up record corresponding to the time period. In order to further improve the matching degree between the target wake policy and the target user, the historical wake record is a wake record corresponding to the wake object of the current wake event, that is, the historical wake record of the historical wake object in the preset time, which is the same as the wake object of the current wake event, is obtained, so as to determine the target wake policy of the current wake from the historical wake record, which is not limited herein.
Step S140, waking up the target user through the target wake-up policy.
And after the target awakening strategy corresponding to the target user is determined through the steps, awakening the target user based on the target awakening strategy.
According to the intelligent awakening method provided by the embodiment of the application, a target user to be awakened and a target area where the target user is located are determined firstly, strategy influence factor information of the target area is obtained, a target awakening strategy corresponding to the target user is determined from a plurality of preset awakening strategies according to the strategy influence factor information, then the target user can be awakened based on the target awakening strategy, the optimal awakening strategy is dynamically selected by combining the actual situation of the current environment where the target user is located, intelligent awakening is achieved, the awakening probability of the target user is improved, and meanwhile the use experience of the user is improved.
Referring to fig. 3, an intelligent wake-up method provided in an embodiment of the present application is applied to an electronic device, such as an intelligent control panel, and the method includes:
step S210, determining a target user to be awakened and a target area where the target user is located.
Step S220, obtaining policy impact factor information of the target area.
Step S230, determining a target wake-up policy corresponding to the target user from a plurality of preset wake-up policies based on the policy impact factor information.
The steps S210, S220 and S230 may specifically refer to the detailed explanation in the above embodiments, and therefore are not described in detail in this embodiment.
Step S240, waking up the target user through the target wake-up policy.
In the embodiment of the application, after the target wake-up policy is determined, when the wake-up time corresponding to the wake-up event is reached, based on the target wake-up policy, the intelligent control panel controls the intelligent device corresponding to the target wake-up policy in the target area where the target user is located to wake up the target user. For example, when the target wake-up policy is a sound wake-up policy, an audio playing device in the room where the wake-up object is located is called to randomly play music, or to play default music.
As another way, in order to further improve the user's waking experience, the user may also preset a desired waking mood according to his own preference. When the target wake-up policy includes a voice wake-up policy, the step of waking up the target user through the target wake-up policy includes: acquiring a preset expected awakening emotion; and controlling an audio playing device to play awakening content corresponding to the expected awakening emotion so as to awaken the target user.
For example, the desired arousal mood may include being excited, soft, cheerful, and the like. Different awakening contents corresponding to different awakening emotions are different, and after the awakening emotion is determined, the awakening contents corresponding to the awakening emotion can be acquired and played through the audio playing equipment. For example, if the desired arousal mood is soft, soft light music may be played.
Step S250, detecting the state of the target user.
In this embodiment of the application, the wake-up event further includes a wake-up time period, where the wake-up time period is a period of time from any time point (excluding the time point of starting to wake up the target user) after the time point of starting to wake up the target user by the target wake-up policy, and represents a time maintained when the wake-up is performed, for example, 1 minute. The length of the wake-up time period may be a default time period, or may be determined according to the self-demand, which is not further limited herein.
The state of the target user can be understood as the state of the target user after the target user is awakened by the target awakening policy. The status of the target user may include having awakened or not awakened.
As one way, whether the target user is awakened may be determined by detecting whether the target user's eyes are open in real time or at regular time (at the time when the secondary awakening ends). Specifically, when it is detected that the eyes of the target user are open, it is determined that the target user has been awakened, and otherwise, it is determined that the target user has not been awakened.
Step S260, if the target user is not successfully awakened within the preset awakening time period, adjusting the target awakening policy, and determining a new target awakening policy.
In the embodiment of the application, after it is determined that the target user is not successfully awakened within the preset time period, in order to ensure that the user can be successfully awakened, the target awakening policy of the current awakening can be adjusted to obtain a new target awakening policy corresponding to the next awakening. The new target wake-up policy may be other wake-up manners or a combination of multiple other wake-up manners, or may be to adjust some parameters of the current target wake-up policy, for example, the light wake-up policy may be used to increase the brightness of the light, or may adjust the rate of change of the light brightness.
And step S270, awakening the target user through the new target awakening strategy.
In the embodiment of the present application, the wake-up event further includes a wake-up delay, where the wake-up delay indicates a time length from when the next wake-up is completed when the next wake-up is not successful, for example, 5 minutes, 10 minutes, and is not limited herein.
And after the new target awakening strategy is obtained through the steps, determining the time of next awakening according to the awakening delay, and continuously awakening the target user through the new target awakening strategy until the target user is successfully awakened when the time of next awakening is reached.
According to the intelligent awakening method provided by the embodiment of the application, after the target user is awakened through the target awakening strategy, the state of the target user is detected, whether the target user is awakened successfully or not is judged, so that the current target awakening strategy is dynamically adjusted, the target user is awakened based on the adjusted awakening strategy, and the awakening probability of the target user can be improved; meanwhile, the target awakening strategy is dynamically adjusted according to the state of the target user, and the intelligent degree of the awakening method is also improved.
Referring to fig. 4, an intelligent wake-up method provided in the embodiment of the present application is applied to an intelligent control panel, and the method includes:
step S310, determining a target user to be awakened and a target area where the target user is located.
Step S320, obtaining policy impact factor information of the target area.
The detailed explanation of the steps S310 and S320 may be specifically referred to in the above embodiments, and therefore, the detailed explanation is not repeated in this embodiment.
Step S330, determining the priority of the preset awakening strategies based on the strategy influence factor information.
In an embodiment of the present application, the policy impact factor information includes at least one of environment information, area location orientation information, user information, and device energy consumption information of the smart device.
As one way, default priorities may be set for a plurality of preset wake-up policies in advance, the policy impact factor information may be compared with the policy impact factor combinations corresponding to the preset wake-up policies, and the default priorities may be adjusted according to the number of policy impact factor information satisfying the conditions.
Specifically, corresponding priorities may be set for multiple preset wake-up policies in advance, and then the priorities of the multiple preset wake-up policies are adjusted according to the number of pieces of policy impact factor information that satisfy the policy impact factor combination condition, where the greater the number of pieces of policy impact factor information that satisfy the condition, the higher the priority of the corresponding preset wake-up policy.
Illustratively, the plurality of preset wake-up policies include policy 1, policy 2, policy 3, and policy 4. The priority of the policy 1 is set as a first priority, the priority of the policy 2 is set as a second priority, the priority of the policy 3 is set as a third priority, and the priority of the policy 4 is set as a fourth priority in sequence in advance. Wherein first priority > second priority > third priority > fourth priority.
In the combination of the policy impact factors corresponding to different policies, if the number of the policy impact factor information satisfying the condition corresponding to policy 1 is 2, the number of the policy impact factor information satisfying the condition corresponding to policy 2 is 3, the number of the policy impact factor information satisfying the condition corresponding to policy 3 is 1, and the number of the policy impact factor information satisfying the condition corresponding to policy 4 is 2, under the condition that the number of the policy impact factors is the same. The most quantity of the strategy influence factor information meeting the conditions corresponding to the strategy 2 indicates that the matching degree of the currently acquired strategy influence factor information and the strategy 2 is the highest to a certain extent, so that the priority of the strategy 2 is adjusted to be the first priority; the number of the strategy influence factor information meeting the condition corresponding to the strategy 3 is the minimum, so that the priority of the strategy 3 is adjusted to be the fourth priority; since the number of pieces of policy influence factor information satisfying the condition corresponding to policy 1 is the same as the number of pieces of policy influence factor information corresponding to policy 4, but the priority of policy 1 is higher than that of policy 4 at the beginning, the priority of policy 3 is adjusted to the second priority and the priority of policy 4 is adjusted to the third priority.
As another mode, the default priorities of the multiple preset wake-up policies may also be determined according to the historical usage frequency of the target user on the multiple preset wake-up policies, and then the default priorities are adjusted according to the number of policy impact factors that satisfy the conditions. Similarly, historical use frequencies of multiple preset awakening strategies stored in the electronic equipment are obtained, corresponding default priorities are set for the multiple preset awakening strategies according to the historical use frequencies, and the priorities of the multiple preset awakening strategies are adjusted according to the quantity of strategy influence factor information meeting conditions. The higher the use frequency is, the higher the priority of the corresponding preset awakening strategy is; the more the number of the corresponding strategy impact factor information meeting the condition is, the higher the priority of the corresponding preset awakening strategy is.
Optionally, the priorities of the multiple preset wake-up policies may also be determined according to preset conditions of the policy impact factors and the policy impact factors corresponding to the multiple preset wake-up policies.
Illustratively, the priority of the preset wake-up policies is different for different rooms: the room with the window is firstly awakened by light, and the room without the window is awakened by sound; for another example, if there are windows, the windows are preferably awake by light towards the south and not awake by sound towards the south.
Optionally, the scores corresponding to the preset wake-up policies (i.e., the comprehensive matching degrees of the policy impact factors and the policy impact factors corresponding to the preset wake-up policies) may be calculated according to the policy impact factor information to determine the priorities of the preset wake-up policies.
Specifically, a scoring model may be pre-constructed, and then a score corresponding to each preset wake-up strategy may be calculated according to a matching degree of the policy impact factor information and the policy impact factor combination corresponding to each preset wake-up strategy through the trained scoring model. The higher the score, the higher the priority of the corresponding preset wake-up policy. It should be noted that, when there are two preset wake-up policies with the same corresponding score or with the same priority corresponding to the score, the adjustment may be further performed according to the device energy consumption corresponding to the preset wake-up policy or the historical usage frequency of the preset wake-up policy, for example, the device energy consumption is high, and the priority is low, which is not limited herein.
Step S340, using a preset wake-up policy with a first priority among the plurality of preset wake-up policies as a target wake-up policy.
The preset wake-up strategy with the priority of the first priority is a wake-up strategy with the highest priority in the multiple preset wake-up strategies.
In the embodiment of the application, the preset wake-up policy with the highest priority is preferentially taken as the target wake-up policy.
Step S350, if the target user is not successfully awakened within a preset awakening time period, taking a preset awakening policy with a second priority as a new target awakening policy, wherein the second priority is lower than the first priority.
If the target user is not successfully awakened within the preset time period, taking a preset awakening strategy of which the priority is only lower than the highest priority in the multiple preset awakening strategies as a target awakening strategy; if the target user is not successfully awakened within the preset time period, the preset awakening strategy with the priority lower than the second highest priority is used as the target awakening strategy, and the preset awakening strategies with the lower priorities are sequentially selected as the target awakening strategy.
And step S360, awakening the target user through the new target awakening strategy.
The step S360 can refer to the detailed explanation in the above embodiments, and therefore, will not be described in detail in this embodiment.
The intelligent awakening method provided by the embodiment of the application determines the priorities of multiple preset awakening strategies based on the strategy influence factor information, determines the calling sequences of the multiple preset awakening strategies, and sequentially calls the preset awakening strategies with high priorities as the target awakening strategies to awaken the target user, wherein the higher the priority is, the higher the awakening success probability is, the higher the awakening probability of the target user is, the awakening probability of the target user is improved, meanwhile, the dynamic adjustment of the awakening strategies is realized, the awakening intellectualization is improved, and the use experience of the user is improved.
Referring to fig. 5, an intelligent wake-up method provided in an embodiment of the present application is applied to an electronic device, such as an intelligent control panel, and the method includes:
step S410, determining a target user to be awakened and a target area where the target user is located.
Step S420, obtaining policy impact factor information of the target area.
Step S430, based on the policy impact factor information, determining a target wake-up policy corresponding to the target user from a plurality of preset wake-up policies.
The steps S410 and S430 may specifically refer to the detailed explanation in the above embodiments, and therefore are not described in detail in this embodiment.
Step S440, obtaining sleep information of the target user.
Step S450, if the sleep information does not meet the preset condition, the target awakening strategy is adjusted.
In the embodiment of the present application, the sleep information may include a sleep duration, a sleep state, a sleep quality, and the like.
As a mode, the current sleep duration of the target user is obtained, the current sleep duration of the target user is compared with a preset sleep duration, if the current sleep duration of the target user is shorter than the preset sleep duration, it is judged that the sleep information does not meet the preset condition, which indicates that the user may not sleep enough, get up relatively difficultly, and wake up relatively more difficult, and then the current target wake-up strategy is adjusted. The preset sleep duration may be an average sleep duration obtained according to the historical sleep duration of the target user, or may be a sleep duration customized by the target user.
As another way, the current sleep state of the target user is obtained, and the current sleep state of the target user includes one of a deep sleep state, a light sleep state, a rapid eye movement period and a waking state. The preset condition may be a preset sleep state, for example, a light sleep state or an awake state. In different sleep states, the awakening difficulty of the user is different, for example, the awakening difficulty of the deep sleep state is greater than that of the light sleep state, so after the sleep state of the target user is determined, if the target user is in the deep sleep state or the rapid eye movement period currently, the target awakening strategy is adjusted after the sleep information is determined not to meet the preset condition.
It can be understood that the sleep of the human body is divided into a light sleep stage and a deep sleep stage, and a sleep cycle is completed by starting from the light sleep stage to the deep sleep stage, then gradually entering the light sleep stage, and finally entering a rapid eye movement stage and maintaining for a while. Alternatively, the current sleep state of the target user may be determined based on biometric data of the target user. The biological data can be obtained through monitoring equipment such as acceleration sensors, Bluetooth, WiFi and biological radar carried by equipment such as intelligent wearable equipment and mobile phones, and then the total sleeping time and sleeping quality of the user can be calculated through various software algorithms, so that the sleeping state of the target user is determined.
And then, acquiring the current sleep quality of the target user. Specifically, the sleep quality can be evaluated by calculating a sleep score, the higher the sleep quality. And when the score is smaller than a preset score threshold value, determining that the sleep information does not meet a preset condition, and adjusting the target awakening strategy. Techniques for determining a sleep quality score based on user sleep information are mature and will not be described herein.
In the embodiment of the application, when the current target wake-up policy is adjusted, some parameters corresponding to the current target wake-up policy, such as volume, brightness, dynamic change rate, wake-up duration, and the like, may also be changed from the target wake-up policy to another corresponding preset wake-up policy, so as to improve the success rate of waking up the target user.
For example, if the current target wake-up strategy is a curtain natural light wake-up strategy, the speed of adjusting the light transmission of the curtain can be increased; if the current target awakening strategy is music playing awakening, the volume of the music playing can be adjusted, or the speed of increasing the volume of the music playing is increased.
Further, an adjustment time may be preset, where the adjustment time is a time at which the target wake-up policy may be adjusted. As one of the ways, the adjustment time may be set before the target user is first awakened by the current target wake policy. Specifically, when the adjustment time is set before the target user is awakened by the current target awakening strategy for the first time, a default target awakening strategy may be preset, and then, after the sleep information of the target user is obtained, the target awakening strategy is adjusted according to the sleep information.
As another way, the adjustment time may also be set after the target user fails to wake up through the current target wake policy each time. Specifically, if the target user is not successfully awakened based on the current target awakening policy and the sleep state of the target user meets the sleep state corresponding to the preset condition, some parameters of the current target awakening policy may be selectively adjusted, where the adjustment is to adjust the parameters of the current target awakening policy to parameter values that are easier to awaken the target user; if the target user is not successfully awakened based on the current target awakening strategy and the current sleep state of the target user does not meet the sleep state corresponding to the preset condition, the current target awakening strategy can be selected to be replaced by another preset awakening strategy in the multiple preset awakening strategies. Of course, how to adjust the target wake-up policy is not specifically limited in the example of the present application.
And step S460, awakening the target user based on the adjusted target awakening strategy.
And after the adjusted target awakening strategy is obtained through the steps, awakening the target user based on the adjusted target awakening strategy when the next awakening time is reached.
According to the intelligent awakening method provided by the embodiment of the application, the target awakening strategy is adjusted according to the sleep information of the target user before the target user is awakened based on the target awakening strategy, so that the target user is easily awakened; in addition, after the target user is unsuccessfully awakened through the target awakening strategy, the target awakening strategy is adjusted based on the sleep state of the target user, and the target user is tried to be awakened again, so that the probability of awakening the target user can be improved.
Referring to fig. 6, an intelligent wake-up apparatus 500 according to an embodiment of the present application includes:
a first determining unit 510, configured to determine a target user to be woken up and a target area where the target user is located.
An information obtaining unit 520, configured to obtain policy impact factor information of the target area.
The policy impact factor information includes at least one of environment information, area location orientation information, user information, and device energy consumption information of the smart device.
A second determining unit 530, configured to determine a corresponding target wake policy from multiple preset wake policies based on the policy impact factor information.
A waking unit 540, configured to wake up the target user according to the target wake-up policy.
By one approach, the waking unit 540 is configured to obtain a preset desired waking emotion when the target waking policy includes a voice waking policy; and controlling an audio playing device to play awakening content corresponding to the expected awakening emotion so as to awaken the target user.
Referring to fig. 7, the apparatus 500 further includes:
a policy adjustment unit 550, configured to detect a status of the target user; if the target user is not successfully awakened within a preset awakening time period, adjusting the target awakening strategy and determining a new target awakening strategy; and awakening the target user through the new target awakening strategy.
As a manner, the policy adjusting unit 550 is further configured to determine priorities of the multiple preset wake-up policies based on the policy impact factor information; and taking the preset awakening strategy with the first priority in the multiple preset awakening strategies as a target awakening strategy.
As another mode, the policy adjusting unit 550 is further configured to use, as a new target wake-up policy, a preset wake-up policy with a second priority in the multiple preset wake-up policies, where the second priority is lower than the first priority.
Furthermore, the policy adjusting unit 550 is further configured to obtain sleep information of the target user; and if the sleep information does not meet the preset condition, adjusting the target awakening strategy.
It should be noted that the device embodiment and the method embodiment in the present application correspond to each other, and specific principles in the device embodiment may refer to the contents in the method embodiment, which is not described herein again.
An electronic device provided by the present application will be described with reference to fig. 8.
Referring to fig. 8, based on the above-mentioned intelligent wake-up method and apparatus, another electronic device 800 capable of executing the above-mentioned intelligent wake-up method is provided in the embodiment of the present application. The electronic device 800 may be a terminal device with data processing and communication functions, such as an intelligent control panel, a mobile terminal, and a tablet computer.
The electronic device 800 includes one or more processors 802 (only one shown), a memory 804, and a network module 806 coupled to each other. The memory 804 stores programs that can execute the content of the foregoing embodiments, and the processor 802 can execute the programs stored in the memory 804.
The Memory 804 may include a Random Access Memory (RAM) or a Read-Only Memory (ROM). The memory 804 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 804 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like. The stored data area may also store data created by the terminal 800 during use (e.g., phone books, audio-visual data, chat log data), and the like.
The network module 806 is configured to receive and transmit electromagnetic waves, and achieve interconversion between the electromagnetic waves and the electrical signals, so as to communicate with a communication network or other devices, for example, an audio playing device. The network module 806 may include various existing circuit elements for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption/decryption chip, a Subscriber Identity Module (SIM) card, memory, and so forth. The network module 806 may communicate with various networks, such as the internet, an intranet, a wireless network, or with other devices via a wireless network. The wireless network may comprise a cellular telephone network, a wireless local area network, or a metropolitan area network. For example, the network module 806 can interact with the base station.
Referring to fig. 9, a block diagram of a computer-readable storage medium according to an embodiment of the present application is shown. The computer-readable storage medium 900 has stored therein program code that can be called by a processor to execute the methods described in the above-described method embodiments.
The computer-readable storage medium 900 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Alternatively, the computer-readable storage medium 900 includes a non-volatile computer-readable storage medium. The computer readable storage medium 900 has storage space for program code 910 to perform any of the method steps of the method described above. The program code can be read from or written to one or more computer program products. The program code 910 may be compressed, for example, in a suitable form.
According to the intelligent awakening method, the intelligent awakening device, the electronic equipment and the storage medium, firstly, a target user to be awakened and a target area where the target user is located are determined, then, strategy influence factor information of the target area is obtained, a target awakening strategy corresponding to the target user is determined from a plurality of preset awakening strategies based on the strategy influence factor information, and finally, the target user is awakened through the target awakening strategy. By the method, the target awakening strategy corresponding to the target user is determined from the multiple preset awakening strategies according to the strategy influence factor information, and then the target user can be awakened based on different target awakening strategies, so that the probability of awakening the target user is improved, and the intelligent degree of the awakening method is also improved.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A smart wake-up method, the method comprising:
determining a target user to be awakened and a target area where the target user is located;
acquiring strategy influence factor information of the target area;
determining a target awakening strategy corresponding to the target user from a plurality of preset awakening strategies based on the strategy influence factor information;
and awakening the target user through the target awakening strategy.
2. The method of claim 1, further comprising:
detecting the state of the target user;
if the target user is not successfully awakened within a preset awakening time period, adjusting the target awakening strategy and determining a new target awakening strategy;
and awakening the target user through the new target awakening strategy.
3. The method according to claim 2, wherein the determining a corresponding target wake-up policy from a plurality of preset wake-up policies based on the policy impact factor information comprises:
determining the priorities of the multiple preset awakening strategies based on the strategy influence factor information;
and taking the preset awakening strategy with the first priority in the multiple preset awakening strategies as a target awakening strategy.
4. The method of claim 3, wherein the adjusting the target wake policy and determining a new target wake policy comprises:
and taking a preset awakening strategy with a second priority in the plurality of preset awakening strategies as a new target awakening strategy, wherein the second priority is lower than the first priority.
5. The method of claim 1, wherein when the target wake policy comprises a voice wake policy, the waking the target user by the target wake policy comprises:
acquiring a preset expected awakening emotion;
and controlling an audio playing device to play awakening content corresponding to the expected awakening emotion so as to awaken the target user.
6. The method of claim 1, wherein prior to said waking the target user by the target wake policy, the method further comprises:
acquiring sleep information of the target user;
and if the sleep information does not meet the preset condition, adjusting the target awakening strategy.
7. The method according to any of claims 1-6, wherein the policy impact factor information comprises at least one of environmental information, regional location orientation information, user information, and device energy consumption information for smart devices.
8. A smart wake-up device, the device comprising:
the device comprises a first determining unit, a second determining unit and a control unit, wherein the first determining unit is used for determining a target user to be awakened and a target area where the target user is located;
the information acquisition unit is used for acquiring the strategy influence factor information of the target area;
a second determining unit, configured to determine, based on the policy impact factor information, a corresponding target wake-up policy from among multiple preset wake-up policies;
and the awakening unit is used for awakening the target user through the target awakening strategy.
9. An electronic device comprising one or more processors and memory; one or more programs stored in the memory and configured to be executed by the one or more processors to perform the method of any of claims 1-7.
10. A computer-readable storage medium, having program code stored therein, wherein the program code when executed by a processor performs the method of any of claims 1-7.
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