CN115164344A - Indoor temperature adjusting method based on sleep state, wearable device and storage medium - Google Patents
Indoor temperature adjusting method based on sleep state, wearable device and storage medium Download PDFInfo
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- 230000001932 seasonal effect Effects 0.000 claims description 27
- 210000004556 brain Anatomy 0.000 claims description 21
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- 238000004378 air conditioning Methods 0.000 description 2
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
- F24F11/66—Sleep mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
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Abstract
The invention discloses an indoor temperature adjusting method based on a sleep state, wearable equipment and a storage medium, wherein the method comprises the following steps: determining the sleep state based on the acquired electroencephalogram data and eyeball rotation data, wherein the sleep state comprises a sleep state and a non-sleep state; acquiring a current outdoor temperature and a current indoor temperature, determining an indoor and outdoor temperature difference, and awakening preset temperature adjusting equipment according to the indoor and outdoor temperature difference; and determining target temperature data corresponding to the sleep state based on the sleep state, and controlling the temperature adjusting equipment to adjust the indoor temperature based on the target temperature data. The target temperature can be determined based on the sleep state, so that the temperature adjusting device is controlled to adjust the indoor temperature, an individualized temperature adjusting mode is realized, and the use for a user is more convenient.
Description
Technical Field
The invention relates to the technical field of temperature regulation and control, in particular to an indoor temperature regulation method based on a sleep state, wearable equipment and a storage medium.
Background
In the prior art, the control and the regulation of the indoor temperature are basically realized based on an air conditioner, and when a user wants to increase or decrease the indoor temperature, the user sends a relevant instruction to the air conditioner based on an air conditioner remote controller, so that the work of the air conditioner is controlled to realize the temperature regulation. However, the requirements of the user for the indoor temperature in different states are different, especially when the user falls asleep at night, the requirements of the user for the temperature are different, and if the user falls asleep, the indoor temperature cannot be adaptively adjusted, which brings inconvenience to the user.
Thus, there is a need for improvements and enhancements in the art.
Disclosure of Invention
The present invention is directed to provide an indoor temperature adjusting method based on a sleep state, a wearable device and a storage medium, which are used to solve the above-mentioned drawbacks of the prior art, and aims to solve the problem that it is inconvenient to adaptively adjust the indoor temperature when the user's needs for the indoor temperature are different.
In a first aspect, the present invention provides a method for adjusting an indoor temperature based on a sleep state, wherein the method includes:
determining the sleep state based on the acquired electroencephalogram data and eyeball rotation data, wherein the sleep state comprises a sleep state and a non-sleep state;
acquiring a current outdoor temperature and a current indoor temperature, determining an indoor and outdoor temperature difference, and awakening preset temperature adjusting equipment according to the indoor and outdoor temperature difference;
and determining target temperature data corresponding to the sleep state based on the sleep state, and controlling the temperature adjusting equipment to adjust the indoor temperature based on the target temperature data.
In one implementation, the determining the sleep state based on the acquired electroencephalogram data and the eyeball rotation data includes:
determining the maximum value of the brain electrical intensity in the brain electrical data according to the brain electrical data, and taking the maximum value of the brain electrical intensity as fluctuation key data;
according to the eyeball rotation data, determining the time interval between two adjacent eyeball rotations in the eyeball rotation data to obtain eye movement frequency data;
and determining the sleep state according to the fluctuation key data and the eye movement frequency data.
In one implementation, the determining the sleep state according to the fluctuation-critical data and the eye movement frequency data includes:
if the fluctuation key data are smaller than a preset electroencephalogram intensity threshold value and the eye movement frequency data are smaller than a preset eye movement frequency threshold value, determining that the sleep state is a sleep state;
and if the fluctuation key data is larger than a preset electroencephalogram intensity threshold and/or the eye movement frequency data is larger than a preset eye movement frequency threshold, determining that the sleep state is not in the sleep state.
In one implementation, the method includes obtaining a current outdoor temperature and a current indoor temperature, determining an indoor and outdoor temperature difference, and waking up a preset temperature adjusting device according to the indoor and outdoor temperature difference, including:
acquiring current weather forecast information and current season information, and determining the current outdoor temperature based on the current weather forecast information and the current season information;
collecting the current indoor temperature, and determining the indoor and outdoor temperature difference based on the current outdoor temperature and the current indoor temperature;
and if the indoor and outdoor temperature difference is greater than the temperature difference threshold value, outputting a starting instruction, and awakening the temperature adjusting equipment based on the starting instruction.
In one implementation, the determining the outdoor temperature based on the current weather forecast information and current season information includes:
extracting temperature data corresponding to each moment according to the current day weather forecast information, and determining a current day temperature mean value;
based on the current season information, season temperature data corresponding to the current season information are determined;
comparing the current-day temperature mean value with the seasonal temperature data, and if the difference value between the current-day temperature mean value and the seasonal temperature data is smaller than a preset difference value, determining that the current-day temperature mean value and the seasonal temperature data are successfully matched;
and acquiring the current moment, matching the temperature data corresponding to the current moment based on the temperature data corresponding to each moment, and taking the matched temperature data as the current outdoor temperature.
In one implementation, the determining, based on the sleep state, target temperature data corresponding to the sleep state and controlling the temperature adjustment device to perform indoor temperature adjustment based on the target temperature data includes:
if the sleep state is the state of not falling asleep, controlling the temperature adjusting equipment to be switched to a powerful working mode;
and acquiring first target temperature data corresponding to the state of not falling asleep, and controlling the air output and air outlet speed of the temperature regulating equipment based on the powerful working mode so as to control the indoor temperature data to be regulated to the first target temperature data.
In one implementation, the determining, based on the sleep state, target temperature data corresponding to the sleep state and controlling the temperature adjustment device to perform indoor temperature adjustment based on the target temperature data includes:
if the sleep state is the state of falling asleep, controlling the temperature regulating equipment to switch to a relaxation working mode;
and acquiring second target temperature data corresponding to the sleeping state, and controlling the air output and the air output speed of the temperature regulating equipment based on the moderate working mode so as to control the indoor temperature data to be regulated to the second target temperature data, wherein the second target temperature data is higher than the first target temperature data.
In a second aspect, an embodiment of the present invention further provides an indoor temperature adjustment device based on a sleep state, where the device includes:
the sleep state determining module is used for determining the sleep state based on the acquired electroencephalogram data and eyeball rotation data, wherein the sleep state comprises a sleep state and a non-sleep state;
the temperature adjusting and awakening module is used for acquiring the current outdoor temperature and the current indoor temperature, determining the indoor and outdoor temperature difference, and awakening the preset temperature adjusting equipment according to the indoor and outdoor temperature difference;
and the temperature regulation control module is used for determining target temperature data corresponding to the sleep state based on the sleep state and controlling the temperature regulation equipment to regulate the indoor temperature based on the target temperature data.
In one implementation, the sleep state determination module includes:
the fluctuation key data determining unit is used for determining the maximum value of the electroencephalogram intensity in the electroencephalogram data according to the electroencephalogram data and taking the maximum value of the electroencephalogram intensity as fluctuation key data;
the eye movement frequency data determining unit is used for determining the time interval between two adjacent eye rotations in the eyeball rotation data according to the eyeball rotation data to obtain eye movement frequency data;
and the sleep state determining unit is used for determining the sleep state according to the fluctuation key data and the eye movement frequency data.
In one implementation, the sleep state determination unit includes:
the sleep state determination subunit is configured to determine that the sleep state is the sleep state if the fluctuation key data is smaller than a preset electroencephalogram intensity threshold and the eye movement frequency data is smaller than a preset eye movement frequency threshold;
and the non-falling-asleep state determining subunit is configured to determine that the sleep state is a non-falling-asleep state if the fluctuation key data is greater than a preset electroencephalogram intensity threshold and/or the eye movement frequency data is greater than a preset eye movement frequency threshold.
In one implementation, the temperature adjustment wake-up module includes:
the outdoor temperature determining unit is used for acquiring current weather forecast information and current season information and determining the current outdoor temperature based on the current weather forecast information and the current season information;
an indoor and outdoor temperature difference determining unit for acquiring the current indoor temperature and determining the indoor and outdoor temperature difference based on the current outdoor temperature and the current indoor temperature;
and the temperature adjusting equipment awakening unit is used for outputting a starting instruction if the indoor and outdoor temperature difference is greater than the temperature difference threshold value, and awakening the temperature adjusting equipment based on the starting instruction.
In one implementation, the outdoor temperature determination unit includes:
the current day temperature mean value determining subunit is used for extracting temperature data corresponding to each moment according to the current day weather forecast information and determining a current day temperature mean value;
the seasonal temperature data determining subunit is used for determining seasonal temperature data corresponding to the current seasonal information based on the current seasonal information;
the temperature data matching subunit is used for comparing the current-day temperature mean value with the seasonal temperature data, and if the difference value between the current-day temperature mean value and the seasonal temperature data is smaller than a preset difference value, determining that the current-day temperature mean value and the seasonal temperature data are successfully matched;
and the outdoor temperature determining subunit is used for acquiring the current time, matching the temperature data corresponding to the current time based on the temperature data corresponding to each time, and taking the matched temperature data as the current outdoor temperature.
In one implementation, the thermostat control module includes:
the first mode switching module is used for controlling the temperature adjusting equipment to be switched to a powerful working mode if the sleeping state is the state of not falling asleep;
and the first temperature adjusting module is used for acquiring first target temperature data corresponding to the state of not falling asleep, and controlling the air output and air outlet speed of the temperature adjusting equipment based on the powerful working mode so as to control the indoor temperature data to be adjusted to the first target temperature data.
In one implementation, the thermostat control module includes:
the second mode switching module is used for controlling the temperature adjusting equipment to be switched to a relaxation working mode if the sleep state is the state of falling asleep;
and the second temperature adjusting module is used for acquiring second target temperature data corresponding to the sleeping state, and controlling the air output and the air outlet speed of the temperature adjusting equipment based on the relaxation working mode so as to control the indoor temperature data to be adjusted to the second target temperature data, wherein the second target temperature data is higher than the first target temperature data.
In a third aspect, an embodiment of the present invention further provides a wearable device, where the wearable device includes a memory, a processor, and an indoor temperature adjustment program based on a sleep state, which is stored in the memory and is executable on the processor, and when the processor executes the indoor temperature adjustment program based on the sleep state, the steps of the indoor temperature adjustment method based on the sleep state in any of the above schemes are 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 therein a sleep-state-based indoor temperature adjustment program, and when the sleep-state-based indoor temperature adjustment program is executed by a processor, the method implements the steps of the sleep-state-based indoor temperature adjustment method according to any one of the above schemes.
Has the beneficial effects that: compared with the prior art, the invention provides an indoor temperature adjusting method based on a sleep state. And then acquiring the current outdoor temperature and the current indoor temperature, determining the indoor and outdoor temperature difference, and awakening the preset temperature adjusting equipment according to the indoor and outdoor temperature difference. And finally, determining target temperature data corresponding to the sleep state based on the sleep state, and controlling the temperature adjusting equipment to adjust the indoor temperature based on the target temperature data. The target temperature can be determined based on the sleep state, so that the temperature adjusting device is controlled to adjust the indoor temperature, an individualized temperature adjusting mode is realized, and the use of a user is more convenient.
Drawings
Fig. 1 is a flowchart illustrating an embodiment of a method for adjusting an indoor temperature based on a sleep state according to the present invention.
Fig. 2 is a functional schematic diagram of an indoor temperature adjustment device based on a sleep state according to an embodiment of the present invention.
Fig. 3 is a schematic block diagram of a wearable 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 indoor temperature adjusting method based on a sleep state, and the embodiment can adjust the indoor temperature based on the sleep state of a user, realize personalized temperature adjustment and provide convenience for the user. Specifically, the present embodiment first determines the sleep state based on the acquired electroencephalogram data and eyeball rotation data, where the sleep state includes a sleep state and a non-sleep state. And then acquiring the current outdoor temperature and the current indoor temperature, determining the indoor and outdoor temperature difference, and awakening the preset temperature adjusting equipment according to the indoor and outdoor temperature difference. And finally, determining target temperature data corresponding to the sleep state based on the sleep state, and controlling the temperature adjusting equipment to adjust the indoor temperature based on the target temperature data.
For example, the present embodiment may be applied to a wearable device, which may be an eye mask worn on the head for a user to sleep, and may collect electroencephalogram data and eyeball rotation data of the user after the user lies down, and then determine a sleep state, that is, whether the user is asleep based on the electroencephalogram data and the eyeball rotation data. Then, wearing equipment still acquires current outdoor temperature and current indoor temperature, then confirms indoor outer difference in temperature, awakens temperature adjusting device according to indoor outer difference in temperature, awakens the air conditioner when for example indoor outer difference in temperature is greater than 5 ℃. Then, the wearable device adjusts the indoor temperature based on the determined sleep state, and when adjusting, the wearable device first obtains a target temperature corresponding to the determined sleep state, and then adjusts the indoor temperature based on the determined target temperature. For example, if it is determined that the sleep state of the user is the sleep state, the target temperature of the sleep state is 26 ℃, and then the indoor temperature is controlled to slowly reach the target temperature, so that the indoor temperature is adjusted.
Exemplary method
The sleep state-based indoor temperature adjustment method of the embodiment may be applied to a wearable device, which may be a wearable device worn by a user while sleeping, such as a head ring device or an eye mask. The wearable device of the embodiment can collect electroencephalogram data and eyeball rotation data, and therefore the wearable device should have a functional module capable of collecting electroencephalogram data and eyeball rotation data, such as an electroencephalogram signal detection module or an eye movement induction module. Specifically, as shown in fig. 1, the method for adjusting an indoor temperature based on a sleep state according to the present embodiment includes the following steps:
s100, determining the sleep state based on the acquired electroencephalogram data and eyeball rotation data, wherein the sleep state comprises a sleep state and a non-sleep state.
The electroencephalogram data of the embodiment is used for reflecting the fluctuation condition of the electroencephalogram signal of the user, and the fluctuation key data are more remarkable characteristic data in the computer signal, such as the maximum value of the electroencephalogram intensity. The eyeball rotation data reflects the rotation of the eyeball of the user, and the sleep state of the user can be determined according to the fluctuation key data and the eyeball rotation data, namely whether the user falls asleep or not is determined.
In one implementation manner, the present embodiment, when determining the sleep state, includes the following steps:
s101, determining a maximum value of brain electricity intensity in the brain electricity data according to the brain electricity data, and taking the maximum value of the brain electricity intensity as fluctuation key data;
step S102, according to the eyeball rotation data, determining a time interval between two adjacent eyeball rotations in the eyeball rotation data to obtain eye movement frequency data;
and S103, determining the sleep state according to the fluctuation key data and the eye movement frequency data.
The sleep-assisting equipment can be an eye mask worn on the head, and the eye mask can collect electroencephalogram data in real time. When the brain wave data acquisition system is applied specifically, the eye cover can acquire brain wave data within two continuous minutes and send the acquired brain wave data to computer equipment, the computer equipment can analyze the brain wave data and draw a corresponding brain wave signal diagram, and the brain wave signal diagram can reflect the brain wave condition of a user. After the electroencephalogram signal graph is drawn, the maximum electroencephalogram intensity value is screened out from the electroencephalogram data, and then the maximum electroencephalogram intensity value is used as fluctuation key data. In addition, the eye mask of the present embodiment covers the eyes, and the eye mask is provided with an eye sensing device which senses the rotation of the eyes of the user and records the occurrence time of the rotation of the eyes every time the rotation of the eyes is sensed. When the data of the eyeball rotation of 2 minutes is continuously collected, the embodiment can screen the time interval between two adjacent eyeball rotations from the data of the eyeball rotation of 2 minutes, and obtain the data of the eye movement frequency based on the time interval.
Next, the embodiment compares the fluctuation critical data (i.e. the maximum value of the electroencephalogram intensity) with an electroencephalogram intensity threshold, where the electroencephalogram intensity threshold is preset and is used for trace electroencephalogram fluctuation states of the user, and if the fluctuation critical data is smaller than the preset electroencephalogram intensity threshold, it is indicated that the electroencephalogram fluctuation of the user is smaller. And if the fluctuation key data is larger than the preset electroencephalogram intensity threshold, the electroencephalogram fluctuation of the user is large. In addition, the determined eye movement frequency data is compared with a preset eye movement frequency threshold, if the eye movement frequency data is smaller than the preset eye movement frequency threshold, it is indicated that the user is not awake at the moment, and the probability of falling asleep is relatively high, and if the eye movement frequency data is larger than the preset eye movement frequency threshold, it is indicated that the user is awake at the moment. Based on the above, the present embodiment may perform joint analysis based on the fluctuation critical data and the eye movement frequency data, so as to determine the sleep state of the user more accurately.
Specifically, if the fluctuation critical data is smaller than a preset electroencephalogram intensity threshold and the eye movement frequency data is smaller than a preset eye movement frequency threshold, the embodiment may determine that the sleep state is a sleep state. That is, only if the two conditions are satisfied simultaneously, it can be determined that the user has fallen asleep, so that the real sleep state of the user can be determined more accurately. And if the fluctuation key data are larger than a preset brain electric intensity threshold and/or the eye movement frequency data are larger than a preset eye movement frequency threshold, determining that the sleep state is a non-sleep state. That is to say, as long as any one of the two conditions that the fluctuation key data is greater than the preset brain electrical intensity threshold and the eye movement frequency data is greater than the preset eye movement frequency threshold is satisfied, the user may be considered not to fall asleep at this time.
In addition, in another implementation manner, when determining fluctuation key data in the electroencephalogram data, the electroencephalogram average intensity value can be calculated after the electroencephalogram signal graph is drawn, and then, in the electroencephalogram data in the preset time period, the computer signal intensity higher than the electroencephalogram average intensity value or lower than the electroencephalogram average intensity value is taken as fluctuation key data, and the fluctuation key data can effectively reflect the whole fluctuation condition of the electroencephalogram data in the preset time period, so that the sleep state of the user can be accurately analyzed based on the fluctuation key data.
S200, acquiring the current outdoor temperature and the current indoor temperature, determining the indoor and outdoor temperature difference, and awakening the preset temperature adjusting equipment according to the indoor and outdoor temperature difference.
After the sleep state is determined, the present outdoor temperature and the present indoor and outdoor temperature can be obtained, so as to determine the indoor and outdoor temperature difference, and the indoor and outdoor temperature difference can be used for waking up the temperature adjusting device. The temperature adjusting device in this embodiment may be an air conditioning device, and therefore, the indoor and outdoor temperature difference is a precondition for starting the air conditioning device.
In an implementation manner, when waking up the temperature adjustment device, the embodiment includes the following steps:
step S201, obtaining current weather forecast information and current season information, and determining the current outdoor temperature based on the current weather forecast information and the current season information;
step S202, collecting the current indoor temperature, and determining indoor and outdoor temperature difference based on the current outdoor temperature and the current indoor temperature;
step S203, if the indoor and outdoor temperature difference is larger than the temperature difference threshold value, outputting a starting instruction, and awakening the temperature adjusting equipment based on the starting instruction.
Specifically, the present embodiment first obtains current day weather forecast information and current season information, and the current day weather forecast information displays outdoor sensible temperature, which may reflect the outdoor temperature to a certain extent. In addition, the weather forecast information of the current day in this embodiment further includes temperature data corresponding to each time, for example, the temperature at 7 o 'clock at night is 27 ℃, and the temperature at 7 o' clock 30 is 27.2 ℃. Therefore, the average temperature of the day, that is, the average air temperature of the day, can be determined based on the temperature data corresponding to the respective times. Next, in the present embodiment, the current season information is obtained, and the temperatures corresponding to the respective season information are the same, so that the present embodiment may determine corresponding season temperature data based on the current season information, where the season temperature data reflects an average temperature corresponding to the current season. After the current-day temperature mean value and the seasonal temperature data are obtained, the current-day temperature mean value and the seasonal temperature data are compared, and if the difference value between the current-day temperature mean value and the seasonal temperature data is smaller than a preset difference value, it is indicated that the current-day temperature mean value is successfully matched with the seasonal temperature data, so that the obtained current-day weather forecast information is objective and accurate. Therefore, the present embodiment may obtain the current time, match the temperature data corresponding to the current time based on the temperature data corresponding to each time, and use the matched temperature data as the current outdoor temperature. For example, when the current time is determined to be 9 pm 30, the temperature data corresponding to each time can be obtained from the weather forecast of the current day, and then the temperature data corresponding to the 9 pm 30 is matched to be 29 ℃, so that the current outdoor temperature is determined.
In another implementation, the temperature data for each half hour interval set in the current day's weather forecast may be 29 ℃ in 9 pm, 28 ℃ in 10 pm, and 27.5 ℃ in 10 pm, for example. Therefore, if the obtained current time is a time between two time points, the present embodiment uses the temperature data close to the time as the current outdoor temperature, for example, the current time is 9 o 'clock 49, and 9 o' clock 49 is close to 10 o 'clock, so the temperature data corresponding to 9 o' clock 49 is 28 ℃, and the current outdoor temperature at this time is 28 ℃.
When determining the current outdoor temperature, the wearable device of the present embodiment may collect the current indoor temperature, and the current indoor temperature may be obtained based on the thermometer provided on the wearable device. After the current indoor temperature is obtained, the present embodiment may determine the indoor-outdoor temperature difference based on the current outdoor temperature and the current indoor temperature. Then compare indoor outer difference in temperature with the difference in temperature threshold value, if indoor outer difference in temperature is greater than the difference in temperature threshold value, then explain this moment need adjust indoor temperature to satisfy user's demand. At this moment, the wearable device can output a starting instruction, and awakens the temperature adjusting device based on the starting instruction.
Step S300, determining target temperature data corresponding to the sleep state based on the sleep state, and controlling the temperature adjusting equipment to adjust the indoor temperature based on the target temperature data.
After the sleep state is determined, and the temperature adjusting device is waken up, at this moment, the wearable device of the embodiment can acquire target temperature data corresponding to the sleep state, and then the temperature adjusting device is controlled to adjust the indoor temperature based on the target temperature data, so that the indoor temperature is the same as the target temperature data.
Specifically, if it is determined that the sleep state of the user is not in the sleep state, the user does not fall asleep at this time, and in order to quickly realize temperature adjustment, a mode switching instruction may be sent to the temperature adjustment device, and the temperature adjustment device is controlled to switch to the powerful operating mode. And then, acquiring first target temperature data corresponding to the state of not falling asleep. Then, this embodiment compares this first target temperature with current indoor temperature, if first target temperature data is less than current indoor temperature, steerable temperature regulation equipment refrigerates based on powerful mode to control temperature regulation equipment's air output, air-out speed increase, in order to control current indoor temperature can reduce fast to first target temperature data satisfies user's demand. If the first target temperature data is higher than the indoor temperature data, in the same way, the present embodiment may control the temperature adjustment device to perform heating based on the strong operation mode, and control the air output amount and the air output speed of the temperature adjustment device to increase, so as to control the current indoor temperature to be quickly increased to the first target temperature data.
And if the sleeping state of the user is determined to be the sleeping state, the user is asleep at the moment, and a more comfortable air supply mode is needed, so that a mode switching instruction can be sent to the temperature regulating device, and the temperature regulating device is controlled to be switched to the relaxation working mode. Then, the present embodiment determines second target temperature data corresponding to the sleep state. The second target temperature data at this time is higher than the first target temperature data. This embodiment compares this second target temperature with current indoor temperature, if second target temperature data is less than current indoor temperature, then steerable temperature regulation equipment is based on alleviate the mode control and refrigerate to control temperature regulation equipment's air output, air-out speed increase, in order to control current indoor temperature can slowly reduce to second target temperature data, satisfy user's demand. And if the second target temperature data is higher than the indoor temperature data, in the same way, the present embodiment may control the temperature adjustment device to perform heating based on the moderate operation mode, and control the air output amount and the air output speed of the temperature adjustment device to increase, so as to control the current indoor temperature to slowly increase to the second target temperature data.
In summary, the present embodiment can adjust the indoor temperature based on the sleep state of the user, realize personalized temperature adjustment, and also provide convenience to the user. Specifically, the present embodiment first determines the sleep state based on the acquired electroencephalogram data and eyeball rotation data, where the sleep state includes a sleep state and a non-sleep state. And then acquiring the current outdoor temperature and the current indoor temperature, determining the indoor and outdoor temperature difference, and awakening the preset temperature adjusting equipment according to the indoor and outdoor temperature difference. And finally, determining target temperature data corresponding to the sleep state based on the sleep state, and controlling the temperature adjusting equipment to adjust the indoor temperature based on the target temperature data.
Exemplary devices
Based on the above embodiment, the present invention also provides a sleep-state-based indoor temperature adjusting apparatus, as shown in fig. 2, the apparatus including: a sleep state determination module 10, a thermoregulation wake-up module 20 and a thermoregulation control module 30. Specifically, the sleep state determining module 10 is configured to determine the sleep state based on the acquired electroencephalogram data and the acquired eye movement data, where the sleep state includes a sleep state and a non-sleep state. And the temperature adjusting awakening module 20 is used for acquiring the current outdoor temperature and the current indoor temperature, determining the indoor and outdoor temperature difference, and awakening the preset temperature adjusting equipment according to the indoor and outdoor temperature difference. The temperature adjustment control module 30 is configured to determine target temperature data corresponding to the sleep state based on the sleep state, and control the temperature adjustment device to adjust the indoor temperature based on the target temperature data.
In one implementation, the sleep state determination module 10 includes:
the fluctuation key data determining unit is used for determining the maximum value of the electroencephalogram intensity in the electroencephalogram data according to the electroencephalogram data and taking the maximum value of the electroencephalogram intensity as fluctuation key data;
the eye movement frequency data determining unit is used for determining the time interval between two adjacent eye rotations in the eyeball rotation data according to the eyeball rotation data to obtain eye movement frequency data;
and the sleep state determining unit is used for determining the sleep state according to the fluctuation key data and the eye movement frequency data.
In one implementation, the sleep state determination unit includes:
the sleep state determination subunit is configured to determine that the sleep state is the sleep state if the fluctuation key data is smaller than a preset electroencephalogram intensity threshold and the eye movement frequency data is smaller than a preset eye movement frequency threshold;
the non-falling-asleep state determining subunit is configured to determine that the sleep state is a non-falling-asleep state if the fluctuation key data is greater than a preset electroencephalogram intensity threshold and/or the eye movement frequency data is greater than a preset eye movement frequency threshold.
In one implementation, the temperature adjustment wake-up module 20 includes:
an outdoor temperature determination unit for acquiring current weather forecast information and current season information, and determining the current outdoor temperature based on the current weather forecast information and the current season information;
an indoor and outdoor temperature difference determining unit for acquiring the current indoor temperature and determining the indoor and outdoor temperature difference based on the current outdoor temperature and the current indoor temperature;
and the temperature adjusting equipment awakening unit is used for outputting a starting instruction if the indoor and outdoor temperature difference is greater than the temperature difference threshold value, and awakening the temperature adjusting equipment based on the starting instruction.
In one implementation, the outdoor temperature determination unit includes:
the current day temperature mean value determining subunit is used for extracting temperature data corresponding to each moment according to the current day weather forecast information and determining a current day temperature mean value;
the seasonal temperature data determining subunit is used for determining seasonal temperature data corresponding to the current seasonal information based on the current seasonal information;
the temperature data matching subunit is used for comparing the current-day temperature mean value with the seasonal temperature data, and if the difference value between the current-day temperature mean value and the seasonal temperature data is smaller than a preset difference value, determining that the current-day temperature mean value and the seasonal temperature data are successfully matched;
and the outdoor temperature determining subunit is used for acquiring the current time, matching the temperature data corresponding to the current time based on the temperature data corresponding to each time, and taking the matched temperature data as the current outdoor temperature.
In one implementation, the temperature adjustment control module 30 includes:
the first mode switching module is used for controlling the temperature adjusting equipment to be switched to a powerful working mode if the sleeping state is the state of not falling asleep;
and the first temperature adjusting module is used for acquiring first target temperature data corresponding to the state of not falling asleep, and controlling the air output and air outlet speed of the temperature adjusting equipment based on the powerful working mode so as to control the indoor temperature data to be adjusted to the first target temperature data.
In one implementation, the temperature adjustment control module 30 includes:
the second mode switching module is used for controlling the temperature adjusting equipment to be switched to a relaxation working mode if the sleep state is the state of falling asleep;
and the second temperature adjusting module is used for acquiring second target temperature data corresponding to the sleeping state, and controlling the air output and the air outlet speed of the temperature adjusting equipment based on the relaxation working mode so as to control the indoor temperature data to be adjusted to the second target temperature data, wherein the second target temperature data is higher than the first target temperature data.
The working principle of each module in the indoor temperature adjusting device based on the sleep state of this embodiment is the same as the principle of each step in the above method embodiments, and details are not repeated here.
Based on the above embodiment, the present invention further provides a wearable device, and a functional block diagram of the wearable device may be as shown in fig. 3. The wearable device may include one or more processors 100 (only one shown in fig. 3), memory 101, and a computer program 102 stored in memory 101 and executable on the one or more processors 100, e.g., a program for sleep state based indoor temperature adjustment. The steps in method embodiments of sleep state based indoor temperature adjustment may be implemented by one or more processors 100 executing computer program 102. Alternatively, the functions of the modules/units in the apparatus embodiment of the room temperature adjustment based on the sleep state 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 wearable 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 schematic block diagram shown in 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 wearable device to which the solution of the present invention is applied, and a specific wearable device may include more or less components than those shown in the figure, or combine some components, or have a different arrangement 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 can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can 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).
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 indoor temperature adjusting method based on a sleep state, the method comprising:
determining the sleep state based on the acquired electroencephalogram data and eyeball rotation data, wherein the sleep state comprises a sleep state and a non-sleep state;
acquiring a current outdoor temperature and a current indoor temperature, determining an indoor and outdoor temperature difference, and awakening preset temperature adjusting equipment according to the indoor and outdoor temperature difference;
and determining target temperature data corresponding to the sleep state based on the sleep state, and controlling the temperature adjusting equipment to adjust the indoor temperature based on the target temperature data.
2. The indoor temperature adjusting method based on the sleep state as claimed in claim 1, wherein the determining the sleep state based on the collected electroencephalogram data and the eyeball rotation data comprises:
determining the maximum value of the brain electrical intensity in the brain electrical data according to the brain electrical data, and taking the maximum value of the brain electrical intensity as fluctuation key data;
according to the eyeball rotation data, determining the time interval between two adjacent eyeball rotations in the eyeball rotation data to obtain eye movement frequency data;
and determining the sleep state according to the fluctuation key data and the eye movement frequency data.
3. The sleep-state-based indoor temperature adjusting method according to claim 2, wherein the determining the sleep state according to the fluctuation critical data and the eye movement frequency data comprises:
if the fluctuation key data are smaller than a preset electroencephalogram intensity threshold value and the eye movement frequency data are smaller than a preset eye movement frequency threshold value, determining that the sleep state is a sleep state;
and if the fluctuation key data is larger than a preset electroencephalogram intensity threshold and/or the eye movement frequency data is larger than a preset eye movement frequency threshold, determining that the sleep state is not in the sleep state.
4. The sleep-state-based indoor temperature adjusting method according to claim 1, wherein the acquiring a current outdoor temperature and a current indoor temperature, determining an indoor and outdoor temperature difference, and waking up a preset temperature adjusting device according to the indoor and outdoor temperature difference comprises:
acquiring current weather forecast information and current season information, and determining the current outdoor temperature based on the current weather forecast information and the current season information;
collecting the current indoor temperature, and determining the indoor and outdoor temperature difference based on the current outdoor temperature and the current indoor temperature;
and if the indoor and outdoor temperature difference is greater than the temperature difference threshold value, outputting a starting instruction, and awakening the temperature adjusting equipment based on the starting instruction.
5. The sleep-state-based indoor temperature adjustment method of claim 4, wherein the determining the outdoor temperature based on the current-day weather forecast information and current season information comprises:
extracting temperature data corresponding to each moment according to the current weather forecast information, and determining a current temperature mean value;
determining seasonal temperature data corresponding to the current seasonal information based on the current seasonal information;
comparing the current-day temperature mean value with the seasonal temperature data, and if the difference value between the current-day temperature mean value and the seasonal temperature data is smaller than a preset difference value, determining that the current-day temperature mean value and the seasonal temperature data are successfully matched;
and acquiring the current moment, matching the temperature data corresponding to the current moment based on the temperature data corresponding to each moment, and taking the matched temperature data as the current outdoor temperature.
6. The sleep-state-based indoor temperature adjustment method according to claim 1, wherein the determining target temperature data corresponding to the sleep state based on the sleep state and controlling the temperature adjustment device to perform indoor temperature adjustment based on the target temperature data includes:
if the sleep state is the state of not falling asleep, controlling the temperature adjusting equipment to be switched to a powerful working mode;
and acquiring first target temperature data corresponding to the non-sleep state, and controlling the air output and the air output speed of the temperature regulating equipment based on the powerful working mode so as to control the indoor temperature data to be regulated to the first target temperature data.
7. The sleep-state-based indoor temperature adjustment method according to claim 6, wherein the determining target temperature data corresponding to the sleep state based on the sleep state and controlling the temperature adjustment device to perform indoor temperature adjustment based on the target temperature data includes:
if the sleep state is the state of falling asleep, controlling the temperature regulating equipment to switch to a relaxation working mode;
and acquiring second target temperature data corresponding to the sleep state, and controlling the air output and the air outlet speed of the temperature regulating equipment based on the relaxation work mode so as to control the indoor temperature data to be regulated to the second target temperature data, wherein the second target temperature data is higher than the first target temperature data.
8. An indoor temperature adjusting apparatus based on a sleep state, the apparatus comprising:
the sleep state determining module is used for determining the sleep state based on the acquired electroencephalogram data and the eyeball rotation data, and the sleep state comprises a sleep state and a non-sleep state;
the temperature adjusting and awakening module is used for acquiring the current outdoor temperature and the current indoor temperature, determining the indoor and outdoor temperature difference, and awakening the preset temperature adjusting equipment according to the indoor and outdoor temperature difference;
and the temperature regulation control module is used for determining target temperature data corresponding to the sleep state based on the sleep state and controlling the temperature regulation equipment to regulate the indoor temperature based on the target temperature data.
9. A wearable device, comprising a memory, a processor, and a sleep-state based indoor temperature adjustment program stored in the memory and executable on the processor, wherein the processor implements the steps of the sleep-state based indoor temperature adjustment method according to any one of claims 1 to 7 when executing the sleep-state based indoor temperature adjustment program.
10. A computer-readable storage medium having a sleep-state based indoor temperature adjustment program stored thereon, the sleep-state based indoor temperature adjustment program, when executed by a processor, implementing the steps of the sleep-state based indoor temperature adjustment method according to any one of claims 1 to 7.
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