CN115426212A - Intelligent device adaptability adjusting method based on sleep state and terminal device - Google Patents
Intelligent device adaptability adjusting method based on sleep state and terminal device Download PDFInfo
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Abstract
The invention discloses an adaptability adjusting method of intelligent equipment based on a sleep state and terminal equipment, wherein the method comprises the following steps: acquiring current electroencephalogram data, acquiring historical sleep data of a user, determining a current sleep state based on the current electroencephalogram data and the historical sleep data, acquiring current time information when the current sleep state is in a sleep state, and determining sleep stage information according to the current time information; acquiring equipment working parameters corresponding to the sleep stage information, determining intelligent equipment corresponding to the equipment working parameters, and acquiring an installation position corresponding to the intelligent equipment; and determining a communication mode based on the installation position, and controlling the working state of the intelligent equipment based on the communication mode and the equipment working parameters. The invention can realize the adaptive adjustment of the intelligent equipment based on the sleep state, so that the intelligent equipment can meet the use requirements of users in different sleep states.
Description
Technical Field
The invention relates to the technical field of control of intelligent equipment, in particular to an intelligent equipment adaptability adjusting method based on a sleep state and terminal equipment.
Background
Along with the technical development of intelligent product terminals, intelligent products are more and more favored by users, and nowadays, intelligent household equipment becomes an indispensable part of people's daily life, for example, intelligent equipment of intelligent air conditioners and intelligent refrigerators which are used in many families at present.
However, in the prior art, the control of the smart terminal, such as the setting of turning on and off, is basically implemented by sending an instruction to the smart device based on a remote controller or a mobile terminal (such as a mobile phone), which requires manual operation by a user. In the state, the user's demands for the smart device are different, and especially when the user is in a sleep state or a non-sleep state, the working state of the smart device is also different, but the prior art lacks a method for controlling the smart device based on the sleep state of the user.
Thus, there is a need for improvements and enhancements in the art.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an adaptive adjustment method for a smart device based on a sleep state and a terminal device, aiming at solving the problem that a method for controlling a smart device based on a sleep state of a user is lacking in the prior art.
In a first aspect, the present invention provides an adaptive adjustment method based on a sleep state smart device, where the method includes:
acquiring current electroencephalogram data, acquiring historical sleep data of a user, determining a current sleep state based on the current electroencephalogram data and the historical sleep data, acquiring current time information when the current sleep state is in a sleep state, and determining sleep stage information according to the current time information;
acquiring equipment working parameters corresponding to the sleep stage information, determining intelligent equipment corresponding to the equipment working parameters, and acquiring an installation position corresponding to the intelligent equipment;
and determining a communication mode based on the installation position, and controlling the working state of the intelligent equipment based on the communication mode and the equipment working parameters.
In one implementation, the determining a current sleep state based on the current electroencephalogram data and the historical sleep data includes:
analyzing the historical sleep data to obtain historical electroencephalogram data corresponding to each time in each day, and performing graph drawing on the basis of the historical electroencephalogram data to obtain a signal fluctuation graph of each day;
determining the brain activity corresponding to each sleep moment in each day according to the signal fluctuation graph, and determining a sleep rule based on the brain activity, wherein the sleep rule is used for reflecting the brain activity corresponding to each sleep moment and the historical sleep state corresponding to the brain activity;
and matching the current electroencephalogram data with the sleep rule to obtain the current sleep state corresponding to the current electroencephalogram data.
In one implementation manner, the obtaining current time information when the current sleep state is a sleep state, and determining sleep stage information according to the current time information includes:
if the current sleep state is the sleep state, determining sleep stages corresponding to all moments in the historical sleep state based on the sleep rule;
matching the current time information with the sleep rule to determine sleep stage information corresponding to the current time information, wherein the sleep stage information comprises: a light sleep stage and a deep sleep stage.
In one implementation, the obtaining the installation location corresponding to the smart device includes:
acquiring equipment information corresponding to the intelligent equipment, and determining function information of the intelligent equipment from the equipment information;
and determining the installation position of the intelligent equipment based on the function information.
In one implementation, the determining a communication mode based on the installation location includes:
acquiring a sleeping position of a user, and determining a distance between the user and the intelligent equipment based on the sleeping position and the installation position;
if the distance exceeds a preset distance, determining that the communication mode is a cellular network communication mode;
and if the distance is smaller than the preset distance, determining that the communication mode is a WiFi network communication mode.
In one implementation, the controlling the operating state of the smart device based on the communication mode and the device operating parameter includes:
based on the communication mode, sending a control instruction corresponding to the communication mode;
and acquiring the current working parameters of the intelligent equipment, and controlling the current working parameters of the intelligent equipment to be adjusted to the working parameters of the equipment based on the control instruction.
In one implementation, the method further comprises:
the method comprises the steps of obtaining duration of working parameters of the equipment, and sending a recovery control instruction to the intelligent equipment after the duration is finished, wherein the recovery control instruction is used for recovering the working state of the intelligent equipment to a pre-sleep state, and the duration is the same as the sleep duration of a user.
In a second aspect, an embodiment of the present invention further provides an apparatus for adaptively adjusting a smart device based on a sleep state, where the apparatus includes:
the sleep analysis module is used for acquiring current electroencephalogram data, acquiring historical sleep data of a user, determining a current sleep state based on the current electroencephalogram data and the historical sleep data, acquiring current time information when the current sleep state is in a sleep state, and determining sleep stage information according to the current time information;
the equipment analysis module is used for acquiring equipment working parameters corresponding to the sleep stage information, determining intelligent equipment corresponding to the equipment working parameters and acquiring an installation position corresponding to the intelligent equipment;
and the equipment control module is used for determining a communication mode based on the installation position and controlling the working state of the intelligent equipment based on the communication mode and the equipment working parameters.
In one implementation, the sleep analysis module includes:
the signal fluctuation map drawing unit is used for analyzing the historical sleep data to obtain historical electroencephalogram data corresponding to each time in each day, and drawing a graph based on the historical electroencephalogram data to obtain a signal fluctuation map of each day;
the sleep rule determining unit is used for determining the brain activity corresponding to each sleep time in each day according to the signal fluctuation graph and determining a sleep rule based on the brain activity, wherein the sleep rule is used for reflecting the brain activity corresponding to each sleep time and the historical sleep state corresponding to the brain activity;
and the sleep state determining unit is used for matching the current electroencephalogram data with the sleep rule to obtain the current sleep state corresponding to the current electroencephalogram data.
In one implementation, the sleep analysis module includes:
a sleep rule analysis unit, configured to determine, based on the sleep rule, a sleep stage corresponding to each time in the historical sleep state if the current sleep state is a sleep-in state;
a sleep stage determining unit, configured to match the current time information with the sleep rule, and determine sleep stage information corresponding to the current time information, where the sleep stage information includes: a light sleep stage and a deep sleep stage.
In one implementation, the device analysis module includes:
the device information acquisition unit is used for acquiring device information corresponding to the intelligent device and determining function information of the intelligent device from the device information;
and the installation position determining unit is used for determining the installation position of the intelligent equipment based on the function information.
In one implementation, the device control module includes:
the distance determining unit is used for acquiring a sleeping position of a user and determining the distance between the user and the intelligent equipment based on the sleeping position and the installation position;
a first communication mode determining unit, configured to determine that a communication mode is a cellular network communication mode if the distance exceeds a preset distance;
and the second communication mode determining unit is used for determining that the communication mode is the WiFi network communication mode if the distance is smaller than the preset distance.
In one implementation, the device control module includes:
a control instruction transmitting unit configured to transmit a control instruction corresponding to the communication method based on the communication method;
and the working parameter adjusting unit is used for acquiring the current working parameters of the intelligent equipment and controlling the current working parameters of the intelligent equipment to be adjusted into the equipment working parameters based on the control instruction.
In one implementation, the apparatus further comprises:
and the working state recovery module is used for acquiring the duration of the working parameters of the equipment and sending a recovery control instruction to the intelligent equipment after the duration is finished, wherein the recovery control instruction is used for recovering the working state of the intelligent equipment to the state before sleep, and the duration is the same as the sleeping duration of the user.
In a third aspect, an embodiment of the present invention further provides a terminal device, where the terminal device includes a memory, a processor, and an adaptive adjustment program of the smart device based on the sleep state, where the adaptive adjustment program is stored in the memory and is executable on the processor, and when the processor executes the adaptive adjustment program of the smart device based on the sleep state, the step of implementing the adaptive adjustment method of the smart device based on the sleep state in any of the above schemes is implemented.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores an adaptive adjustment program for a smart device based on a sleep state, and when the adaptive adjustment program for the smart device based on the sleep state is executed by a processor, the steps of the adaptive adjustment method for the smart device based on the sleep state according to any one of the foregoing schemes are implemented.
Has the advantages that: compared with the prior art, the invention provides an adaptive adjustment method of intelligent equipment based on a sleep state, which comprises the steps of firstly acquiring current electroencephalogram data and historical sleep data of a user, determining the current sleep state based on the current electroencephalogram data and the historical sleep data, acquiring current time information when the current sleep state is in a sleep-in state, determining sleep stage information according to the current time information, then acquiring equipment working parameters corresponding to the sleep stage information, determining the intelligent equipment corresponding to the equipment working parameters, and acquiring the installation position corresponding to the intelligent equipment. And finally, determining a communication mode based on the installation position, and controlling the working state of the intelligent equipment based on the communication mode and the equipment working parameters. The invention can adjust the working parameters of the intelligent equipment based on the sleep state so as to realize the control of the intelligent equipment, meet the use requirements of users, realize the individualized control of the intelligent equipment without manual operation of the users and provide convenience for the users to use.
Drawings
Fig. 1 is a flowchart of an embodiment of an adaptive adjustment method for a smart device based on a sleep state according to an embodiment of the present invention.
Fig. 2 is a functional schematic diagram of an adaptive adjustment apparatus for a smart device based on a sleep state according to an embodiment of the present invention.
Fig. 3 is a schematic block diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment provides an adaptive adjustment method for a smart device based on a sleep state, and the method based on the embodiment can realize control over the smart device according to the sleep state of a user so as to meet the use requirement of the user. In specific implementation, the present embodiment first acquires current electroencephalogram data, acquires historical sleep data of a user, determines a current sleep state based on the current electroencephalogram data and the historical sleep data, acquires current time information when the current sleep state is a sleep-in state, and determines sleep stage information according to the current time information. Then, this embodiment obtains the device operating parameter corresponding to the sleep stage information, determines the smart device corresponding to the device operating parameter, and obtains the installation location corresponding to the smart device. And finally, determining a communication mode based on the installation position, and controlling the working state of the intelligent equipment based on the communication mode and the equipment working parameters. Therefore, the present embodiment can analyze the current sleep state of the user, determine the sleep stage information of the user, that is, determine whether the sleep stage is a deep sleep stage or a shallow sleep stage, and then control the smart device according to the determined sleep stage, so as to provide a more comfortable sleep environment for the user, provide a more personalized sleep experience, and provide convenience for the user.
For example, the present embodiment can be applied to a wearable device, which can be a head ring or an eye mask. After the wearable device collects current electroencephalogram data, historical sleep data of a user, such as historical sleep data in the past month, is obtained, then a current sleep state is determined based on the current electroencephalogram data and the historical sleep data, and the current sleep state is determined whether the user falls asleep. If the current sleep state is the sleep state, the current time information is obtained, for example, the obtained current time information is 11 pm, and at this time, the sleep stage information may be determined based on the current time information, for example, the determined sleep stage information is a light sleep stage. Then, the wearable device can acquire the device working parameters corresponding to the light sleep stage, and the device working parameters are preset and matched with the sleep stage information. And then the wearable device obtains the intelligent device corresponding to the working parameter of the device. And further acquiring the installation position of the intelligent equipment, and determining the communication mode based on the installation position. The smart devices of this embodiment are all home devices, and therefore this embodiment is used to adjust the smart devices in the home environment of the user. For example, the determined communication mode is a WiFi communication mode, the wearable device of this embodiment may send a control instruction to the smart device (for example, a mobile phone) based on the WiFi communication mode, and control the mobile phone to adjust according to the device operating parameter, for example, control the mobile phone to switch to a mute state, so as to implement control over the smart device and ensure silence of a sleep environment.
Exemplary method
The embodiment provides an adaptive adjustment method of an intelligent device based on a sleep state, the method can be applied to a terminal device, the terminal device can be a wearable device, the wearable device can be a head ring or an eye patch, and a module for acquiring electroencephalogram data and analyzing the electroencephalogram data, such as an electroencephalogram detection module, can be arranged in the wearable device. Specifically, as shown in fig. 1, the method for adaptively adjusting a smart device based on a sleep state according to the present embodiment includes the following steps:
s100, collecting current electroencephalogram data, acquiring historical sleep data of a user, determining a current sleep state based on the current electroencephalogram data and the historical sleep data, acquiring current time information when the current sleep state is a sleep state, and determining sleep stage information according to the current time information.
In this embodiment, the terminal device may collect current electroencephalogram data, and obtain historical sleep data after collecting the current electroencephalogram data, where the historical sleep data is sleep data of a user in a past period of time, and the historical sleep data records data of a whole sleep process of each user, such as electroencephalogram data at each time. After the current electroencephalogram data and the historical sleep data are acquired, the present embodiment may determine a current sleep state, where the current sleep state reflects whether the user is asleep at the moment, and if the current sleep state is the state of having fallen asleep, the present embodiment may acquire current time information, and then determine sleep stage information according to the current time. The sleep stage information of the present embodiment is a deep sleep stage or a light sleep stage.
In one implementation manner, the determining of the current sleep state in this embodiment specifically includes the following steps:
step S101, analyzing the historical sleep data to obtain historical electroencephalogram data corresponding to each time in each day, and performing graph drawing on the basis of the historical electroencephalogram data to obtain a signal fluctuation graph of each day;
step S102, determining the brain activity corresponding to each sleep time in each day according to the signal fluctuation graph, and determining a sleep rule based on the brain activity, wherein the sleep rule is used for reflecting the brain activity corresponding to each sleep time and the historical sleep state corresponding to the brain activity;
and S103, matching the current electroencephalogram data with the sleep rule to obtain a current sleep state corresponding to the current electroencephalogram data.
In specific implementation, the present embodiment obtains historical sleep data, which may be collected based on a wearing device when a user sleeps, for example, the user may wear an eye patch when sleeping, and then record sleep data based on the eye patch. The historical sleep data in this embodiment includes many contents, including not only the change of the current electroencephalogram data of the user during sleep, but also the information of the time when the user lies down, the information of the time when the user has fallen asleep, and the like. In this embodiment, after the terminal device obtains the historical sleep data, the terminal device may analyze the historical sleep data, and then obtain the historical electroencephalogram data corresponding to each time in each day in the historical sleep data. In order to reflect the fluctuation condition of the electroencephalogram data of the user in the whole sleep process, the embodiment performs graphical drawing on the historical electroencephalogram data of each day to obtain a signal fluctuation graph of each day, and the signal fluctuation graph reflects the fluctuation condition of the electroencephalogram signal of the user at each sleep time of each day (each sleep time here refers to each time when the user sleeps). After obtaining the signal fluctuation map, the present embodiment may determine the brain activity corresponding to each sleep time every day based on the signal fluctuation map. Because the electroencephalogram data can reflect the active state of the brain of the user, after the signal fluctuation diagram is obtained through drawing, the active state can be determined based on the electroencephalogram intensity value corresponding to each time information in the signal fluctuation diagram. For example, a first brain electrical threshold and a second brain electrical threshold are preset, wherein the first brain electrical threshold is smaller than the second brain electrical threshold. Then, the first electroencephalogram threshold and the second electroencephalogram threshold are respectively compared with the electroencephalogram intensity values of the information at all times, and if the electroencephalogram intensity value of the information at a certain time is greater than the second electroencephalogram threshold, it is indicated that the brain is excited at this time, the brain activity is high, it can be determined that the user does not sleep at the information at the time, and the sleep state corresponding to the information at the time is not asleep. If the electroencephalogram intensity value of certain time information is larger than the first electroencephalogram threshold and smaller than the second electroencephalogram threshold, that is, the electroencephalogram intensity value corresponding to the time information is located between the first electroencephalogram threshold and the second electroencephalogram threshold, at this time, it can be determined that the brain activity corresponding to the time information is reduced, and it can be determined that the sleep state corresponding to the time information is that the user has fallen asleep and is located in a shallow sleep stage. And if the electroencephalogram intensity value corresponding to the information at a certain moment is smaller than the first electroencephalogram threshold value, the brain activity of the user is very low at the moment, and the sleep state of the user can be determined to be sleeping and deep sleep at the moment. Based on this, the embodiment can analyze the historical sleep data of each day, can record the information of deep sleep, light sleep and the time when the user does not fall asleep for each day, and can determine the sleep rule of the user by performing statistical analysis. The sleep rule of the embodiment can reflect the information of the user such as the time of falling asleep, the time of shallow sleep, the time of deep sleep and the like every day. Certainly, in order to analyze a more accurate sleep rule, some historical sleep data which do not conform to the rule may be screened out, for example, the user sleeps in a day occasionally, and the sleep data collected in the day may be discarded, so that the objectivity of the analyzed sleep rule may be ensured.
Because the sleep rule in this embodiment reflects the information of the user such as the time of falling asleep, the time of shallow sleep, the time of deep sleep, and the like every day, and the information of the time of falling asleep, the time of shallow sleep, the time of deep sleep, and the like is determined based on the historical electroencephalogram data of the user, after the current electroencephalogram data is collected, the current electroencephalogram data is matched with the sleep rule, and the current sleep state corresponding to the current electroencephalogram data can be obtained.
Then, since the sleep rule reflects the information of the user such as the time of falling asleep, the time of shallow sleep, the time of deep sleep, and the like every day, after the current sleep state is determined, if the determined current sleep state is the state of falling asleep, the present embodiment may determine the sleep stage corresponding to each time in the historical sleep state based on the sleep rule. Then, this embodiment obtains current time information, matches the current time information with the sleep rule, and determines sleep stage information corresponding to the current time information, where the sleep stage information includes: a light sleep stage and a deep sleep stage. For example, in the analyzed sleep pattern, the user is in the light sleep stage from 11 pm to 2 am in the past, so if the current time information is obtained as 12 points and 45 points, and the current time information is matched with the sleep pattern, it can be determined that the sleep stage information of 12 points and 45 points is the light sleep stage.
Step S200, obtaining equipment working parameters corresponding to the sleep stage information, determining intelligent equipment corresponding to the equipment working parameters, and obtaining an installation position corresponding to the intelligent equipment.
After the sleep stage information is determined, the present embodiment may acquire the device operating parameter corresponding to the sleep stage information, where the device operating parameter may be set in advance according to different intelligent devices, and the device operating parameter is matched with the sleep stage information of the user. For example, to intelligent air conditioner, when sleep stage information is the light sleep stage, equipment working parameters are: and in a three-stage air supply mode, the temperature is 24 ℃. When the sleep stage information is a deep sleep stage, the working parameters of the equipment are as follows: and in a mute air supply mode, the temperature is 26 ℃. After the device operating parameters of the intelligent device are obtained, the present embodiment may determine the intelligent device corresponding to the device operating parameters, that is, determine which intelligent device the device operating parameters are applicable to. Next, the present embodiment obtains an installation location of the smart device, where the installation location may be used to reflect a distance between the user and the smart device.
In an implementation manner, when determining the installation location of the smart device, the embodiment includes the following steps:
step S201, acquiring device information corresponding to the intelligent device, and determining function information of the intelligent device from the device information;
and S202, determining the installation position of the intelligent equipment based on the function information.
The embodiment can acquire the device information of the intelligent device, the device information comprises the name information, the model information and the function information of the intelligent device, and the function information can reflect the main functions of the intelligent device. Therefore, the present embodiment may determine what the smart device is specifically based on the device information, and then may determine the usage scenario of the smart device based on the function information in the device information, for example, if the function information is a temperature adjustment function, it may be determined that the smart device is an air conditioner, and the usage scenario is a scenario of indoor temperature adjustment, so it may be determined that the installation location of the air conditioner in the home environment is on a wall. For example, if the function information of the smart device is low-light illumination, it can be determined that the usage scene is a usage scene of bedside lamp illumination, and thus it can be determined that the installation position of the bedside lamp is the bedside position of the user room.
And S300, determining a communication mode based on the installation position, and controlling the working state of the intelligent equipment based on the communication mode and the equipment working parameters.
After the installation position is determined, the communication mode can be determined based on the installation position of the intelligent device, then the working state of the intelligent device is controlled based on the determined communication mode, and during control, the control is performed based on the previously acquired device working parameters, so that the intelligent device can be controlled individually.
In one implementation manner, when determining the communication manner, the embodiment includes the following steps:
s301, acquiring a sleep position of a user, and determining a distance between the user and the intelligent device based on the sleep position and the installation position;
step S302, if the distance exceeds a preset distance, determining that the communication mode is a cellular network communication mode;
step S303, if the distance is less than the preset distance, determining that the communication mode is a WiFi network communication mode.
Specifically, in this embodiment, first, a sleep position of a user, that is, a position of a user bed, is obtained, and then, based on the sleep position and the determined installation position of the smart device, a distance between the user and the smart device is determined. Then, the distance is compared with a preset distance, if the distance exceeds the preset distance, it indicates that the intelligent device is far away from the user, and in order to ensure effective transmission of the control command, the intelligent device is effectively controlled, and the communication mode of this embodiment is a cellular network communication mode, such as a 4G or 5G network communication mode. And if the distance is smaller than the preset distance, it indicates that the intelligent device is closer to the user at this time, and it may be determined that the communication mode is the WiFi network communication mode.
After the communication mode is determined, the embodiment may send a control instruction corresponding to the communication mode. For example, the corresponding control instruction is sent to the intelligent air conditioner based on the WiFi network communication mode. In order to implement control on the intelligent device, the present embodiment may obtain the current working parameters of the intelligent device, and control the current working parameters of the intelligent device to be adjusted to the device working parameters based on the control instruction. For example, for an intelligent air conditioner, the device working parameters corresponding to the user's shallow sleep stage are in a three-level air supply mode, and the temperature is 24 ℃. Therefore, the sent control instruction is to adjust the current working parameters of the intelligent air conditioner to a three-level air supply mode, and the temperature is 24 ℃. If the user enters the deep sleep stage, the working parameters of the equipment corresponding to the deep sleep stage can be acquired as a silent air supply mode, and the temperature is 26 ℃, so that the sent control instruction is to adjust the current working parameters of the intelligent air conditioner to the silent air supply mode, and the temperature is 26 ℃.
In another implementation manner, the terminal device of this embodiment may further obtain a duration of the device operating parameter, and send a recovery control instruction to the smart device after the duration is ended, where the recovery control instruction is used to recover the operating state of the smart device to the pre-sleep state, and the duration is the same as the sleep duration of the user. That is, the time duration for the control of the smart device is the same as the sleep time duration of the user, which can be estimated according to the sleep pattern of the user. When the user is ready to wake up, the terminal energy device sends a recovery control instruction to the intelligent device, and the recovery control instruction is used for recovering the intelligent device to the state before sleep so as to realize more humanized control.
Exemplary devices
Based on the foregoing embodiment, the present invention further provides an adaptive adjustment apparatus for a smart device based on a sleep state, as shown in fig. 2, the apparatus includes: sleep analysis module 10, device analysis module 20, and device control module 30. Specifically, the sleep analysis module 10 is configured to acquire current electroencephalogram data, acquire historical sleep data of a user, determine a current sleep state based on the current electroencephalogram data and the historical sleep data, acquire current time information when the current sleep state is a sleep-in state, and determine sleep stage information according to the current time information. The device analysis module 20 is configured to obtain a device working parameter corresponding to the sleep stage information, determine an intelligent device corresponding to the device working parameter, and obtain an installation location corresponding to the intelligent device. The device control module 30 is configured to determine a communication mode based on the installation location, and control a working state of the smart device based on the communication mode and the device working parameter.
In one implementation, the sleep analysis module 10 includes:
the signal fluctuation graph drawing unit is used for analyzing the historical sleep data to obtain historical electroencephalogram data corresponding to each time in each day, and drawing graphs based on the historical electroencephalogram data to obtain a signal fluctuation graph of each day;
the sleep rule determining unit is used for determining the brain activity corresponding to each sleep time in each day according to the signal fluctuation graph and determining a sleep rule based on the brain activity, wherein the sleep rule is used for reflecting the brain activity corresponding to each sleep time and the historical sleep state corresponding to the brain activity;
and the sleep state determining unit is used for matching the current electroencephalogram data with the sleep rule to obtain the current sleep state corresponding to the current electroencephalogram data.
In one implementation, the sleep analysis module 10 includes:
the sleep rule analysis unit is used for determining sleep stages corresponding to all moments in the historical sleep state based on the sleep rule if the current sleep state is in the sleep state;
a sleep stage determining unit, configured to match the current time information with the sleep rule, and determine sleep stage information corresponding to the current time information, where the sleep stage information includes: a light sleep stage and a deep sleep stage.
In one implementation, the device analysis module 20 includes:
the device information acquisition unit is used for acquiring device information corresponding to the intelligent device and determining function information of the intelligent device from the device information;
and the installation position determining unit is used for determining the installation position of the intelligent equipment based on the function information.
In one implementation, the device control module 30 includes:
the distance determining unit is used for acquiring a sleeping position of a user and determining the distance between the user and the intelligent equipment based on the sleeping position and the installation position;
a first communication mode determining unit, configured to determine that a communication mode is a cellular network communication mode if the distance exceeds a preset distance;
and the second communication mode determining unit is used for determining that the communication mode is the WiFi network communication mode if the distance is smaller than the preset distance.
In one implementation, the device control module 30 includes:
a control instruction transmitting unit configured to transmit a control instruction corresponding to the communication method based on the communication method;
and the working parameter adjusting unit is used for acquiring the current working parameters of the intelligent equipment and controlling the current working parameters of the intelligent equipment to be adjusted to the equipment working parameters based on the control instruction.
In one implementation, the apparatus further comprises:
and the working state recovery module is used for acquiring the duration of the working parameters of the equipment and sending a recovery control instruction to the intelligent equipment after the duration is finished, wherein the recovery control instruction is used for recovering the working state of the intelligent equipment to the state before sleep, and the duration is the same as the sleeping duration of the user.
The working principle of each module in the adaptive adjustment apparatus for an intelligent device based on a sleep state in this embodiment is the same as the principle of each step in the above method embodiment, and details are not described here.
Based on the above embodiment, the present invention further provides a terminal device, and a schematic block diagram of the terminal device may be as shown in fig. 3. The terminal device may include one or more processors 100 (only one shown in fig. 3), a memory 101, and a computer program 102 stored in the memory 101 and executable on the one or more processors 100, for example, a program for adaptation of a smart device based on a sleep state. The steps in method embodiments of adaptation of a smart device based on sleep state may be implemented by one or more processors 100 executing computer program 102. Alternatively, the functions of the modules/units in the apparatus embodiment for adaptive adjustment of smart devices based on sleep states may be implemented by one or more processors 100 executing the computer program 102, which is not limited herein.
In one embodiment, the Processor 100 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In one embodiment, the storage 101 may be an internal storage unit of the electronic device, such as a hard disk or a memory of the electronic device. The memory 101 may also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Memory Card (SMC), a Secure Digital (SD) card, a flash memory card (flash card), and the like provided on the electronic device. Further, the memory 101 may also include both an internal storage unit and an external storage device of the electronic device. The memory 101 is used to store computer programs and other programs and data required by the terminal device. The memory 101 may also be used to temporarily store data that has been output or is to be output.
It will be understood by those skilled in the art that the block diagram of fig. 3 is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation to the terminal equipment to which the solution of the present invention is applied, and a specific terminal equipment may include more or less components than those shown in the figure, or may combine some components, or have different arrangements of components.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware that is instructed by a computer program, and the computer program may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, storage, operational databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double-rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM).
In summary, the present invention discloses an adaptive adjustment method for a smart device based on a sleep state and a terminal device, wherein the method includes: acquiring current electroencephalogram data, acquiring historical sleep data of a user, determining a current sleep state based on the current electroencephalogram data and the historical sleep data, acquiring current time information when the current sleep state is in a sleep state, and determining sleep stage information according to the current time information; acquiring equipment working parameters corresponding to the sleep stage information, determining intelligent equipment corresponding to the equipment working parameters, and acquiring an installation position corresponding to the intelligent equipment; and determining a communication mode based on the installation position, and controlling the working state of the intelligent equipment based on the communication mode and the equipment working parameters. The invention can realize the adaptive adjustment of the intelligent equipment based on the sleep state, so that the intelligent equipment can meet the use requirements of users in different sleep states.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An adaptive adjustment method for a smart device based on a sleep state, the method comprising:
acquiring current electroencephalogram data, acquiring historical sleep data of a user, determining a current sleep state based on the current electroencephalogram data and the historical sleep data, acquiring current time information when the current sleep state is in a sleep state, and determining sleep stage information according to the current time information;
acquiring equipment working parameters corresponding to the sleep stage information, determining intelligent equipment corresponding to the equipment working parameters, and acquiring an installation position corresponding to the intelligent equipment;
and determining a communication mode based on the installation position, and controlling the working state of the intelligent equipment based on the communication mode and the equipment working parameters.
2. The sleep state-based adaptive adjustment method for an intelligent device according to claim 1, wherein the determining a current sleep state based on the current electroencephalogram data and the historical sleep data comprises:
analyzing the historical sleep data to obtain historical electroencephalogram data corresponding to each time in each day, and performing graph drawing on the basis of the historical electroencephalogram data to obtain a signal fluctuation graph of each day;
determining the brain activity corresponding to each sleep moment in each day according to the signal fluctuation graph, and determining a sleep rule based on the brain activity, wherein the sleep rule is used for reflecting the brain activity corresponding to each sleep moment and the historical sleep state corresponding to the brain activity;
and matching the current electroencephalogram data with the sleep rule to obtain a current sleep state corresponding to the current electroencephalogram data.
3. The adaptive adjustment method for a smart device based on a sleep state according to claim 2, wherein the obtaining current time information when the current sleep state is a sleep state, and determining sleep stage information according to the current time information comprises:
if the current sleep state is the sleep state, determining sleep stages corresponding to all moments in the historical sleep state based on the sleep rule;
matching the current time information with the sleep rule to determine sleep stage information corresponding to the current time information, wherein the sleep stage information comprises: a light sleep stage and a deep sleep stage.
4. The adaptive adjustment method for a smart device based on a sleep state according to claim 3, wherein the obtaining of the installation location corresponding to the smart device comprises:
acquiring equipment information corresponding to the intelligent equipment, and determining function information of the intelligent equipment from the equipment information;
and determining the installation position of the intelligent equipment based on the function information.
5. The adaptive adjustment method for smart devices based on sleep states as claimed in claim 4, wherein the determining the communication mode based on the installation location comprises:
acquiring a sleeping position of a user, and determining a distance between the user and the intelligent equipment based on the sleeping position and the installation position;
if the distance exceeds a preset distance, determining that the communication mode is a cellular network communication mode;
and if the distance is smaller than the preset distance, determining that the communication mode is a WiFi network communication mode.
6. The method of claim 5, wherein the controlling the operating state of the smart device based on the communication mode and the device operating parameter comprises:
based on the communication mode, sending a control instruction corresponding to the communication mode;
and acquiring the current working parameters of the intelligent equipment, and controlling the current working parameters of the intelligent equipment to be adjusted to the working parameters of the equipment based on the control instruction.
7. The sleep state based smart device adaptation method as claimed in claim 6, further comprising:
the method comprises the steps of obtaining duration of working parameters of the equipment, and sending a recovery control instruction to the intelligent equipment after the duration is finished, wherein the recovery control instruction is used for recovering the working state of the intelligent equipment to a pre-sleep state, and the duration is the same as the sleep duration of a user.
8. An apparatus for adaptive adjustment of a smart device based on a sleep state, the apparatus comprising:
the sleep analysis module is used for acquiring current electroencephalogram data, acquiring historical sleep data of a user, determining a current sleep state based on the current electroencephalogram data and the historical sleep data, acquiring current time information when the current sleep state is in a sleep state, and determining sleep stage information according to the current time information;
the equipment analysis module is used for acquiring equipment working parameters corresponding to the sleep stage information, determining intelligent equipment corresponding to the equipment working parameters and acquiring an installation position corresponding to the intelligent equipment;
and the equipment control module is used for determining a communication mode based on the installation position and controlling the working state of the intelligent equipment based on the communication mode and the equipment working parameters.
9. A terminal device, characterized in that the terminal device comprises a memory, a processor and an adaptive adjustment program of a sleep-state based smart device stored in the memory and operable on the processor, and when the processor executes the adaptive adjustment program of the sleep-state based smart device, the steps of the adaptive adjustment method of the sleep-state based smart device according to any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores thereon an adaptive adjustment program for a sleep-state based smart device, and when the adaptive adjustment program for the sleep-state based smart device is executed by a processor, the steps of the adaptive adjustment method for the sleep-state based smart device according to any one of claims 1 to 7 are implemented.
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