WO2016179943A1 - 开启空调的方法及装置 - Google Patents

开启空调的方法及装置 Download PDF

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Publication number
WO2016179943A1
WO2016179943A1 PCT/CN2015/090600 CN2015090600W WO2016179943A1 WO 2016179943 A1 WO2016179943 A1 WO 2016179943A1 CN 2015090600 W CN2015090600 W CN 2015090600W WO 2016179943 A1 WO2016179943 A1 WO 2016179943A1
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WO
WIPO (PCT)
Prior art keywords
sleep state
air conditioner
parameter
sensor
user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2015/090600
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English (en)
French (fr)
Inventor
侯恩星
阳云
陈昌兵
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Xiaomi Inc
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Xiaomi Inc
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Filing date
Publication date
Application filed by Xiaomi Inc filed Critical Xiaomi Inc
Priority to RU2016111930A priority Critical patent/RU2643129C2/ru
Priority to MX2016002414A priority patent/MX354850B/es
Priority to BR112016003711-1A priority patent/BR112016003711B1/pt
Priority to JP2016518455A priority patent/JP6247384B2/ja
Priority to KR1020167007102A priority patent/KR101846752B1/ko
Publication of WO2016179943A1 publication Critical patent/WO2016179943A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/02416—Measuring pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/02438—Measuring pulse rate or heart rate with portable devices, e.g. worn by the patient
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/0245—Measuring pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4812—Detecting sleep stages or cycles
    • 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
    • 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
    • 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
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/10—Occupancy
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/681—Wristwatch-type devices
    • 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
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/10—Occupancy
    • F24F2120/14—Activity of occupants
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/20—Feedback from users

Definitions

  • the present disclosure relates to the field of smart homes, and in particular, to a method and apparatus for turning on an air conditioner.
  • the autumn and winter seasons usually choose to turn off the air conditioner at night, and then turn on the air conditioner to warm up before getting up in the morning.
  • some air conditioners provide a time switch function, and the user can set the air conditioner to turn on at a certain time. For example, the user expects to get up at 7 o'clock, and the air conditioner can be set at 6:40. Turn on the heating.
  • the present disclosure provides a method of turning on an air conditioner.
  • the technical solution is as follows:
  • a method of turning on an air conditioner comprising:
  • the air conditioner is controlled to turn on heating.
  • the at least one of the human physiological parameter heart rate parameter, the body temperature parameter, and the body motion parameter, and determining the human physiological parameter according to the sensor parameter including:
  • Determining the heart rate parameter according to parameters collected by an infrared sensor or a piezoelectric sensor in the wearable device
  • the body motion parameter is determined according to parameters collected by a body motion sensor in the wearable device.
  • the sleep state includes at least a sleeping state and a light sleep state; and the predetermined condition includes: the sleep state enters a light sleep state from a sleeping state.
  • the method before the controlling the air conditioner to turn on the heating, the method further includes:
  • the controlling the air conditioner to turn on heating includes:
  • t 2 is the estimated length of time that the air conditioner raises the room temperature to a specified temperature.
  • the determining, taking the estimated duration t 1 of the user in a light sleep state includes:
  • the historical sleep state information includes a duration in which the user is in a light sleep state
  • the average value of the duration in which the user has been in the light sleep state is determined as t 1 .
  • the method before the controlling the air conditioner to turn on the heating, the method further includes:
  • an apparatus for turning on an air conditioner comprising:
  • a sensor parameter obtaining module configured to acquire sensor parameters collected by sensors in the wearable device
  • a physiological parameter determining module configured to determine a physiological parameter of the human body according to the sensor parameter
  • a state change determining module configured to determine, according to the human physiological parameter, a change in a sleep state of the wearable device corresponding to the user;
  • a detecting module configured to detect whether the change of the sleep state meets a predetermined condition
  • control module configured to control the air conditioner to turn on heating if the detecting module detects that the change of the sleep state meets the predetermined condition.
  • the human physiological parameter determining at least one of a heart rate parameter, a body temperature parameter, and a body motion parameter, the physiological parameter determining module, comprising:
  • a first determining submodule configured to determine the heart rate parameter according to parameters collected by an infrared sensor or a piezoelectric sensor in the wearable device;
  • a second determining submodule configured to determine the body according to parameters collected by a temperature sensor in the wearable device Temperature parameter
  • a third determining submodule configured to determine the body motion parameter according to a parameter collected by a body motion sensor in the wearable device.
  • the sleep state includes at least a sleeping state and a light sleep state; and the predetermined condition includes: the sleep state enters a light sleep state from a sleeping state.
  • the device further includes:
  • a duration determining module configured to determine an expected duration t 1 of the user in a light sleep state before the control module controls the air conditioner to turn on heating
  • the control module includes:
  • a first control submodule configured to control the air conditioner to turn on heating immediately when detecting that the change in the sleep state meets the predetermined condition, if t 1 ⁇ t 2 ;
  • the second control sub-module configured to, if t 1> t 2, then the change in detected sleep state meets the predetermined condition after t 1 -t 2 opening timing control of the air conditioning and heating;
  • t 2 is the estimated length of time that the air conditioner raises the room temperature to a specified temperature.
  • the duration determining module includes:
  • a state information obtaining sub-module configured to acquire historical sleep state information, where the historical sleep state information includes a duration of the user being in a light sleep state;
  • the duration determining submodule is configured to determine an average value of the durations in which the user is in a light sleep state as t 1 .
  • the device further includes:
  • a determining module configured to determine, before the control module controls the air conditioner to turn on heating, whether the detection time is within a predetermined time period, where the detection time is a time when the change of the sleep state is detected to meet the predetermined condition;
  • the control module is configured to perform the step of controlling the air conditioner to turn on heating if the detection time is within the predetermined time period.
  • an apparatus for turning on an air conditioner comprising:
  • a memory for storing processor executable instructions
  • processor is configured to:
  • the air conditioner is controlled to turn on heating.
  • Obtaining a sensor parameter collected by the wearable device determining a physiological parameter of the human body according to the sensor parameter, determining, according to the physiological parameter of the human body, a change of a sleep state of the user corresponding to the wearable device, and if the change of the sleep state meets a predetermined condition, controlling
  • the air conditioner turns on the heating, and the time when the air conditioner is turned on matches the user's waking time, ensuring that the room temperature has been raised to an appropriate temperature when the user is awake, and the user is not required to manually set, simplifying the user operation, thereby improving the user experience.
  • FIG. 1 is a schematic diagram of an implementation environment involved in a method of turning on an air conditioner, according to some exemplary embodiments
  • FIG. 2 is a flow chart showing a method of turning on an air conditioner according to an exemplary embodiment
  • FIG. 3 is a flowchart illustrating a method of turning on an air conditioner according to another exemplary embodiment
  • FIG. 4 is a flow chart showing a method of turning on an air conditioner according to still another exemplary embodiment
  • FIG. 5 is a block diagram of an apparatus for turning on an air conditioner according to an exemplary embodiment
  • FIG. 6 is a block diagram of an apparatus for turning on an air conditioner, according to another exemplary embodiment
  • FIG. 7 is a block diagram of an apparatus for turning on an air conditioner, according to an exemplary embodiment.
  • the implementation environment includes a wearable device 110, an air conditioner 120, and a relay device 130.
  • the wearable device 110 may be a wearable smart device such as a smart watch or a smart bracelet, and the wearable device includes a plurality of sensors, such as an infrared sensor, a piezoelectric sensor, a temperature sensor, a body motion sensor, and the like.
  • sensors such as an infrared sensor, a piezoelectric sensor, a temperature sensor, a body motion sensor, and the like.
  • the relay device 130 can be a smart device such as a smart phone or a smart router.
  • the wearable device 110, the air conditioner 120, and the relay device 130 are connected by a wired or wireless network.
  • the wearable device 110 can directly establish a short-range wireless communication connection with the air conditioner 120 or the remote controller of the air conditioner 120.
  • the wearable device 110 can also establish a short distance with the remote controller of the air conditioner 120 or the air conditioner 120 through the relay device 130. Wireless communication connection.
  • FIG. 2 is a flow chart showing a method of turning on an air conditioner according to an exemplary embodiment.
  • the method of turning on the air conditioner is used in the wearable device 110, the air conditioner 120, or the relay device 130 as shown in FIG.
  • the method of turning on the air conditioner may include the following steps.
  • step 202 sensor parameters acquired by sensors in the wearable device are acquired.
  • step 204 human physiological parameters are determined based on the sensor parameters.
  • step 206 a change in the sleep state of the wearable device corresponding to the user is determined according to the human physiological parameter.
  • step 208 it is detected whether the change in the sleep state meets a predetermined condition.
  • step 210 if it is detected that the change of the sleep state meets the predetermined condition, the air conditioner is controlled to turn on the heating.
  • the human physiological parameter is at least one of a heart rate parameter, a body temperature parameter, and a body motion parameter, and the human physiological parameter is determined according to the sensor parameter, including:
  • Determining the heart rate parameter according to parameters collected by an infrared sensor or a piezoelectric sensor in the wearable device
  • the body motion parameter is determined according to parameters collected by the body motion sensor in the wearable device.
  • the sleep state includes at least a sleeping state and a light sleep state; the predetermined condition includes: the sleep state enters a light sleep state from a sleeping state.
  • the method before controlling the air conditioner to turn on the heating, the method further includes:
  • the control air conditioner turns on heating, including:
  • t 2 is the estimated length of time that the air conditioner raises the room temperature to the specified temperature.
  • the determining takes the estimated duration t 1 of the user in a light sleep state, including:
  • the historical sleep state information includes a duration of the user being in a light sleep state
  • the average value of the duration in which the user has been in the light sleep state is determined as t 1 .
  • the method further includes:
  • the step of controlling the air conditioner to turn on heating is performed.
  • the method for turning on an air conditioner determines a sensor parameter collected by the wearable device, determines a physiological parameter of the human body according to the sensor parameter, and determines, according to the physiological parameter of the human body, the user corresponding to the wearable device.
  • the change of the sleep state if the change of the sleep state meets the predetermined condition, the air conditioner is controlled to turn on the heating, and the time of turning on the air conditioner matches the user's waking time, ensuring that the room temperature has been raised to a suitable temperature when the user just wakes up, and Users do not need to manually set up, simplifying user operations and improving the user experience.
  • FIG. 3 is a flow chart showing a method of turning on an air conditioner according to another exemplary embodiment.
  • the method of turning on the air conditioner is used in the wearable device 110, the air conditioner 120, or the relay device 130 as shown in FIG.
  • the method of turning on the air conditioner may include the following steps.
  • step 302 sensor parameters acquired by sensors in the wearable device are acquired.
  • various types of sensors such as an infrared sensor, a piezoelectric sensor, a temperature sensor, a body motion sensor and the like can be provided in the wearable device.
  • At least one of the following human physiological parameters may be determined by the sensor parameter: a heart rate parameter, a body temperature parameter, and a body motion parameter.
  • the method of determining various physiological parameters can be as shown in the following steps.
  • the heart rate parameter is determined based on parameters collected by an infrared sensor or a piezoelectric sensor in the wearable device.
  • the infrared sensor in the wearable device can irradiate the infrared rays generated by the infrared light-emitting diodes to the blood vessel position of the human body, and collect the blood vessels.
  • the infrared light signal transmitted or reflected by the blood can be pre-amplified, filtered and correlated with the signal collected by the infrared sensor to obtain the real-time heart rate value of the human body.
  • the blood pressure change in the blood vessel can also be collected by the piezoelectric sensor, and the real-time heart rate value of the human body can also be obtained by processing the blood pressure change.
  • the body temperature parameter is determined according to parameters collected by the temperature sensor in the wearable device.
  • the real-time body temperature of the human body can be collected by the temperature sensor.
  • the body motion parameter is determined according to parameters collected by the body motion sensor in the wearable device.
  • the body motion sensor When the body motion sensor is included in the wearable device, the body motion sensor can be used to collect minute movements of the human body, such as turning over, moving the body, and the like.
  • step 310 a change in the sleep state of the wearable device corresponding to the user is determined according to the human physiological parameter.
  • the sleep state of the user may include a sleeping state, a light sleep state, and an awake state.
  • a sleep state from one sleep state there will be some changes than the physiological parameters of the human body.
  • the user's heart rate parameter gradually increases, the body temperature gradually increases, and the human body moves more.
  • the user's heart rate parameter gradually decreases, the body temperature gradually decreases, and the body movement decreases.
  • step 312 it is detected whether the change in the sleep state meets a predetermined condition.
  • the predetermined condition may be set to enter a light sleep state from the sleeping state of the sleep state of the user.
  • the technician can also set other predetermined conditions according to the usage of the user, for example, setting the predetermined condition to the user's sleep state from the light sleep state to the awake state, etc., which is not limited in this embodiment.
  • step 3144 if the change in the sleep state meets the predetermined condition, the air conditioner is controlled to turn on the heating.
  • the air conditioner can be controlled to be turned on and heated to raise the room temperature to the temperature of the matter when the user gets up.
  • the foregoing steps may all be performed by the wearable device.
  • the wearable device is a smart wristband
  • the sensor parameters may be collected by sensors in the smart bracelet, and the physiological parameters of the human body may be determined according to the sensor parameters.
  • the human physiological parameters determine that the user will wake up when he wakes up, and send an opening command to the air conditioner to control the air conditioner to turn on the heating.
  • the above steps may also be performed by an air conditioner or a relay device.
  • the smart bracelet transmits the sensor parameters collected by the sensor to the air conditioner, and the air conditioner determines the physiological parameters of the human body according to the sensor parameters, and determines that the user is to be determined according to the physiological parameters of the human body.
  • the heating is turned on; or, the smart bracelet sends the sensor parameters collected by the sensor to the smart phone or the router, and the smart phone or the router determines the physiological parameters of the human body according to the sensor parameters, and judges that the user is going to wake up according to the physiological parameters of the human body.
  • an instruction is sent to the air conditioner to control the air conditioner to turn on the heating.
  • the method for turning on an air conditioner determines a sensor parameter collected by the wearable device, determines a physiological parameter of the human body according to the sensor parameter, and determines, according to the physiological parameter of the human body, the user corresponding to the wearable device.
  • the change of the sleep state if the change of the sleep state meets the predetermined condition, the air conditioner is controlled to turn on the heating, and the time of turning on the air conditioner matches the user's waking time, ensuring that the room temperature has been raised to a suitable temperature when the user just wakes up, and Users do not need to manually set up, simplifying user operations and improving the user experience.
  • FIG. 4 is a flow chart showing a method of turning on an air conditioner according to still another exemplary embodiment.
  • the method of turning on the air conditioner is used in the wearable device 110, the air conditioner 120, or the relay device 130 as shown in FIG.
  • the method of turning on the air conditioner may include the following steps.
  • step 402 sensor parameters acquired by sensors in the wearable device are acquired.
  • various types of sensors such as an infrared sensor, a piezoelectric sensor, a temperature sensor, a body motion sensor and the like can be provided in the wearable device.
  • step 404 human physiological parameters are determined based on the sensor parameters.
  • the human physiological parameter that needs to be determined in the embodiment of the present disclosure may include at least one of a heart rate parameter, a body temperature parameter, and a body motion parameter.
  • the method for determining various physiological parameters may be as shown in steps 304-308 in the embodiment shown in FIG. 3, and details are not described herein again.
  • step 406 a change in the sleep state of the wearable device corresponding to the user is determined according to the human physiological parameter.
  • the sleep state of the user may include a sleeping state, a light sleep state, and an awake state.
  • a sleep state from one sleep state there will be some changes than the physiological parameters of the human body.
  • the user's heart rate parameter gradually increases, the body temperature gradually increases, and the human body moves more.
  • the user's heart rate parameter gradually decreases, the body temperature gradually decreases, and the body movement decreases.
  • step 408 it is detected whether the change in the sleep state meets the predetermined condition, and if the predetermined condition is met, the process proceeds to step 410.
  • the predetermined condition may be set to enter a light sleep state from the sleeping state of the sleep state of the user.
  • the technician can also set other predetermined conditions according to the usage of the user, for example, setting the predetermined condition to the user's sleep state from the light sleep state to the awake state, etc., which is not limited in this embodiment.
  • step 410 it is determined whether the detection time is within a predetermined time period; if yes, proceed to step 412, otherwise, the step ends.
  • the detection time is a time when the change of the sleep state is detected to meet the predetermined condition.
  • the user's sleep state from the sleeping state to the light sleep state does not necessarily mean that the user is about to wake up and get up, such as the user insomnia in the middle of the night, in order to avoid the accidental opening of the air conditioner due to such circumstances, the user's sleep state is detected.
  • the change meets the predetermined condition, it may be further determined whether the detected time is within a predetermined time period, for example, determining whether the detected time is between 7 am and 9 am, and if so, proceeding to the subsequent step; otherwise, not doing Any processing.
  • the historical sleep state information is obtained, where the historical sleep state information includes the duration of the user being in the light sleep state; the average value of the duration of the user in the light sleep state is determined as the user is in the shallow sleep state. Estimated duration t 1 .
  • the heating effect saves the power, and the user's historical sleep state information can be obtained.
  • the historical sleep state information includes the duration of the user's sleeping state, the light sleep state, and the awake state, and the duration of the previous light sleep state. The average is taken as the estimated length of time the user is in a light sleep state.
  • the historical sleep state information may be recorded by the wearable device itself, or may be recorded by other devices such as a smart phone for the user to view, or for other third party applications to call.
  • step 414 if t 1 ⁇ t 2 , the air conditioner is turned on and controlled immediately when it is detected that the change in the sleep state meets the predetermined condition, and t 2 is the estimated length of time during which the air conditioner raises the room temperature to the specified temperature.
  • the estimated duration of the user's light sleep state is shorter than the expected length of time when the air conditioner raises the room temperature to the specified temperature, it means that the room temperature has not been raised to a suitable temperature when the user is fully awake, and the air conditioner heating needs to be turned on immediately.
  • the estimated length of time that the air conditioner raises the room temperature to the specified temperature can be determined based on the power of the air conditioner, the heating efficiency, and the temperature difference between the current room temperature and the specified temperature.
  • step 416 if t 1 > t 2 , the air conditioner is turned on and turned on at the time t 1 - t 2 after detecting that the change in the sleep state meets the predetermined condition.
  • the expected duration of the user's light sleep state is longer than the expected length of time when the air conditioner raises the room temperature to the specified temperature, it means that the user can raise the room temperature to a suitable temperature before the user is fully awake, and it is not necessary to turn on the air conditioner heating immediately. Instead, it is turned on after t 1 -t 2 , so that when the user is fully awake, the room temperature is just raised to a suitable temperature, reducing unnecessary power waste.
  • the foregoing steps may all be performed by the wearable device.
  • the wearable device is a smart wristband
  • the sensor parameters may be collected by sensors in the smart bracelet, and the physiological parameters of the human body may be determined according to the sensor parameters.
  • the human physiological parameters determine that the user will wake up when he wakes up, and send an opening command to the air conditioner to control the air conditioner to turn on the heating.
  • the above steps may also be performed by an air conditioner or a relay device.
  • the smart bracelet transmits the sensor parameters collected by the sensor to the air conditioner, and the air conditioner determines the physiological parameters of the human body according to the sensor parameters, and determines that the user is to be determined according to the physiological parameters of the human body.
  • the heating is turned on; or, the smart bracelet sends the sensor parameters collected by the sensor to the smart phone or the router, and the smart phone or the router determines the physiological parameters of the human body according to the sensor parameters, and judges that the user is going to wake up according to the physiological parameters of the human body.
  • an instruction is sent to the air conditioner to control the air conditioner to turn on the heating.
  • the method for turning on an air conditioner shown in the embodiment of the present disclosure obtains the sensing collected by the wearable device. And determining a physiological parameter of the human body according to the sensor parameter, determining, according to the physiological parameter of the human body, a change of a sleep state of the wearable device corresponding to the user, and if the change of the sleep state meets a predetermined condition, controlling the air conditioner to turn on heating, and turning on the air conditioner
  • the time matches the user's waking time, ensuring that the room temperature has been raised to an appropriate temperature when the user is awake, and does not require manual setting by the user, simplifying user operations and thereby improving the user experience.
  • the method for turning on the air conditioner shown in the embodiment of the present disclosure determines the estimated duration of the user in a light sleep state according to the historical sleep state information of the user before controlling the air conditioner to turn on the heating, and according to the estimated duration of the user being in a light sleep state.
  • the relationship between the estimated time that the air conditioner raises the room temperature to the specified temperature determines the specific moment when the air conditioner is turned on, and reduces unnecessary power waste.
  • the method for turning on the air conditioner shown in the embodiment of the present disclosure performs the step of controlling the air conditioner to turn on the heating to prevent the air conditioner from being mistaken when detecting that the change of the sleep state meets the predetermined condition is within a predetermined time period. Open.
  • FIG. 5 is a block diagram of an apparatus for turning on an air conditioner, which may be used for the wearable device 110, the air conditioner 120, or the relay device 130 included in the implementation environment shown in FIG. 1 according to an exemplary embodiment. All or part of the steps of the method shown in any of Figures 2 to 4 are performed.
  • the device for turning on the air conditioner includes, but is not limited to, a sensor parameter obtaining module 501, a physiological parameter determining module 502, a state change determining module 503, a detecting module 504, and a control module 505;
  • the sensor parameter obtaining module 501 is configured to acquire sensor parameters collected by sensors in the wearable device;
  • the physiological parameter determining module 502 is configured to determine a human physiological parameter according to the sensor parameter
  • the state change determining module 503 is configured to determine, according to the human physiological parameter, a change in a sleep state of the wearable device corresponding to the user;
  • the detecting module 504 is configured to detect whether a change in the sleep state meets a predetermined condition
  • the control module 505 is configured to control the air conditioner to turn on heating if the detecting module 504 detects that the change in the sleep state meets the predetermined condition.
  • the device for turning on an air conditioner determines a sensor parameter collected by the wearable device, determines a physiological parameter of the human body according to the sensor parameter, and determines, according to the physiological parameter of the human body, the user corresponding to the wearable device.
  • the change of sleep state if the change of the sleep state meets the predetermined condition, the air conditioner is controlled to turn on the heating, and the time of turning on the air conditioner matches the user's waking time, ensuring that the room temperature has been raised to a suitable temperature when the user just wakes up. Degree, and does not require the user to manually set, simplifying user operations, thereby improving the user experience.
  • FIG. 6 is a block diagram of an apparatus for turning on an air conditioner, which may be used for the wearable device 110, the air conditioner 120, or the relay device 130 included in the implementation environment shown in FIG. 1 according to an exemplary embodiment. All or part of the steps of the method shown in any of Figures 2 to 4 are performed.
  • the device for turning on the air conditioner includes, but is not limited to, a sensor parameter obtaining module 501, a physiological parameter determining module 502, a state change determining module 503, a detecting module 504, and a control module 505;
  • the sensor parameter obtaining module 501 is configured to acquire sensor parameters collected by sensors in the wearable device;
  • the physiological parameter determining module 502 is configured to determine a human physiological parameter according to the sensor parameter
  • the state change determining module 503 is configured to determine, according to the human physiological parameter, a change in a sleep state of the wearable device corresponding to the user;
  • the detecting module 504 is configured to detect whether a change in the sleep state meets a predetermined condition
  • the control module 505 is configured to control the air conditioner to turn on heating if the detecting module 504 detects that the change in the sleep state meets the predetermined condition.
  • the at least one of the human physiological parameter heart rate parameter, the body temperature parameter, and the body motion parameter, the physiological parameter determining module 502, comprising: a first determining submodule 502a, a second determining submodule 502b, and a third Determining submodule 502c;
  • the first determining submodule 502a is configured to determine the heart rate parameter according to parameters collected by an infrared sensor or a piezoelectric sensor in the wearable device;
  • the second determining submodule 502b is configured to determine the body temperature parameter according to a parameter collected by a temperature sensor in the wearable device;
  • the third determining sub-module 502c is configured to determine the body motion parameter according to parameters collected by the body motion sensor in the wearable device.
  • the sleep state includes at least a sleeping state and a light sleep state; and the predetermined condition includes: the sleep state enters a light sleep state from a sleeping state.
  • the device further includes: a duration determining module 506;
  • the duration determining module 506 is configured to determine an estimated duration t 1 of the user in a light sleep state before the control module 505 controls the air conditioner to turn on heating;
  • the control module 505 includes: a first control submodule 505a and a second control submodule 505b;
  • the first control submodule 505a is configured to, if t 1 ⁇ t 2 , immediately control the air conditioner to turn on heating when detecting that the change in the sleep state meets the predetermined condition;
  • the second control sub-module 505b are arranged for, if t 1> t 2, then the detected changes are consistent with the sleep state after the predetermined condition t 2 timing controlling the air conditioner 1 -t open heating;
  • t 2 is the estimated length of time that the air conditioner raises the room temperature to a specified temperature.
  • the duration determining module 506 includes: a state information obtaining submodule 506a and a duration determining submodule 506b;
  • the status information acquisition sub-module 506a is configured to acquire historical sleep state information, where the historical sleep state information includes a duration in which the user is in a light sleep state;
  • the duration determination sub-module 506b is provided for determining the length of time the user is the previous average light sleep state is t 1.
  • the device further includes: a determining module 507;
  • the determining module 507 is configured to determine whether the detection time is within a predetermined time period before the control module 505 controls the air conditioner to turn on the heating, and the detecting time is that the change of the sleep state is consistent with the detecting The time at which the condition is scheduled;
  • the control module 505 is configured to perform the step of controlling the air conditioner to turn on heating if the detection time is within the predetermined time period.
  • the device for turning on an air conditioner determines a sensor parameter collected by the wearable device, determines a physiological parameter of the human body according to the sensor parameter, and determines, according to the physiological parameter of the human body, the user corresponding to the wearable device.
  • the change of the sleep state if the change of the sleep state meets the predetermined condition, the air conditioner is controlled to turn on the heating, and the time of turning on the air conditioner matches the user's waking time, ensuring that the room temperature has been raised to a suitable temperature when the user just wakes up, and Users do not need to manually set up, simplifying user operations and improving the user experience.
  • the device for turning on the air conditioner shown in the embodiment of the present disclosure determines the estimated duration of the user in a light sleep state according to the historical sleep state information of the user before controlling the air conditioner to turn on the heating, and according to the estimated duration of the user being in a light sleep state.
  • the relationship between the estimated time that the air conditioner raises the room temperature to the specified temperature determines the specific moment when the air conditioner is turned on, and reduces unnecessary power waste.
  • the apparatus for turning on the air conditioner shown in the embodiment of the present disclosure performs the step of controlling the air conditioner to turn on the heating when the time when the change of the sleep state is detected to meet the predetermined condition is within a predetermined time period, thereby avoiding the air conditioning error. Open.
  • FIG. 7 is a block diagram of an apparatus 700, according to an exemplary embodiment.
  • device 700 can be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a routing device, a gaming console, a tablet device, a medical device Equipment, fitness equipment, personal digital assistants, intelligent control devices, smart home appliances, smart wearable devices, etc.
  • apparatus 700 can include one or more of the following components: processing component 702, memory 704, power component 706, multimedia component 708, audio component 710, input/output (I/O) interface 712, sensor component 714, And a communication component 716.
  • Processing component 702 typically controls the overall operation of device 700, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations.
  • Processing component 702 can include one or more processors 718 to execute instructions to perform all or part of the steps of the methods described above.
  • processing component 702 can include one or more modules to facilitate interaction between component 702 and other components.
  • processing component 702 can include a multimedia module to facilitate interaction between multimedia component 708 and processing component 702.
  • Memory 704 is configured to store various types of data to support operation at device 700. Examples of such data include instructions for any application or method operating on device 700, contact data, phone book data, messages, pictures, videos, and the like. Memory 704 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Disk or Optical Disk. Also stored in memory 704 is one or more modules configured to be executed by the one or more processors 720 to perform all or part of the steps of the method illustrated in any of Figures 2 through 4 above. .
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read only memory
  • EPROM erasable Programmable Read Only Memory
  • PROM Programmable Read Only Memory
  • ROM Read Only Memory
  • Magnetic Memory Flash Memory
  • Power component 706 provides power to various components of device 700.
  • Power component 706 can include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for device 700.
  • the multimedia component 708 includes a screen between the device 700 and the user that provides an output interface.
  • the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensor may sense not only the boundary of the touch or sliding action, but also the duration and pressure associated with the touch or slide operation.
  • the multimedia component 708 includes a front camera and/or a rear camera. When the device 700 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
  • the audio component 710 is configured to output and/or input an audio signal.
  • audio component 710 includes a microphone (MIC) that is configured to receive an external audio signal when device 700 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode.
  • the received audio signal may be further stored in memory 704 or transmitted via communication component 716.
  • audio component 710 also includes a speaker for outputting an audio signal.
  • the I/O interface 712 provides an interface between the processing component 702 and the peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to, a home button, a volume button, a start button, and a lock button.
  • Sensor assembly 714 includes one or more sensors for providing device 700 with various aspects of status assessment.
  • sensor assembly 714 can detect an open/closed state of device 700, relative positioning of components, such as the display and keypad of device 700, and sensor component 714 can also detect a change in position of one component of device 700 or device 700. The presence or absence of user contact with device 700, device 700 orientation or acceleration/deceleration, and temperature variation of device 700.
  • Sensor assembly 714 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor component 714 can also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 714 can also include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • Communication component 716 is configured to facilitate wired or wireless communication between device 700 and other devices.
  • the device 700 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof.
  • communication component 716 receives broadcast signals or broadcast associated information from an external broadcast management system via a broadcast channel.
  • the communication component 716 also includes a near field communication (NFC) module to facilitate short range communication.
  • NFC near field communication
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • apparatus 700 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A gate array (FPGA), controller, microcontroller, microprocessor, or other electronic component implementation for performing the above methods.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable A gate array
  • controller microcontroller, microprocessor, or other electronic component implementation for performing the above methods.
  • non-transitory computer readable storage medium comprising instructions, such as a memory 704 comprising instructions executable by processor 718 of apparatus 700 to perform the above method.
  • the non-transitory computer readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.

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Abstract

一种开启空调的方法及装置，该方法包括：获取可穿戴设备中的传感器采集到的传感器参数（202，302，402）；根据传感器参数确定人体生理参数（204，404）；根据人体生理参数确定可穿戴设备对应用户的睡眠状态的变化（206，310，406）；检测睡眠状态的变化是否符合预定条件（208，312，408）；若检测出睡眠状态的变化符合预定条件，则控制空调开启制热（210，314）。

Description

开启空调的方法及装置
本申请基于申请号为201510236279.8、申请日为2015/5/11的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本公开涉及智能家居领域，特别涉及一种开启空调的方法及装置。
背景技术
随着人们生活水平的不断提高，空调已经逐渐成为居家生活中必不可少的家用电器，也给人们的生活质量带来了极大的提升。
由于空调能耗较大，在没有暖气的家庭中，秋冬季节通常选择在夜间关闭空调，早上起床前再打开空调进行制暖。为了能够在用户醒来之前提前将室温提升至适宜的温度，一些空调提供定时开关功能，用户可以设定空调在某一时刻开启，比如，用户预计7点起床，可以设定空调在6点40开启制暖。
发明内容
本公开提供了一种开启空调的方法。所述技术方案如下：
第一方面，提供一种开启空调的方法，所述方法包括：
获取可穿戴设备中的传感器采集到的传感器参数；
根据所述传感器参数确定人体生理参数；
根据所述人体生理参数确定所述可穿戴设备对应用户的睡眠状态的变化；
检测所述睡眠状态的变化是否符合预定条件；
若检测出所述睡眠状态的变化符合所述预定条件，则控制空调开启制热。
可选的，所述人体生理参数心率参数、体温参数以及体动参数中的至少一种，所述根据所述传感器参数确定人体生理参数，包括：
根据所述可穿戴设备中的红外传感器或者压电传感器采集到的参数确定所述心率参数；
根据所述可穿戴设备中的温度传感器采集到的参数确定所述体温参数；
根据所述可穿戴设备中的体动传感器采集到的参数确定所述体动参数。
可选的，所述睡眠状态至少包括熟睡状态和浅睡状态；所述预定条件，包括：所述睡眠状态由熟睡状态进入浅睡状态。
可选的，所述控制空调开启制热之前，还包括：
确定所述用户处于浅睡状态的预计时长t1；
所述控制空调开启制热，包括：
若t1≤t2，则在检测出睡眠状态的变化符合所述预定条件时，立刻控制所述空调开启制热；
若t1＞t2，则在检测出睡眠状态的变化符合所述预定条件之后的t1-t2时刻控制所述空调开启制热；
其中，t2为所述空调将室温提升至指定温度的预计时长。
可选的，所述确定取所述用户处于浅睡状态的预计时长t1，包括：
获取历史睡眠状态信息，所述历史睡眠状态信息中包含所述用户历次处于浅睡状态的时长；
将所述用户历次处于浅睡状态的时长的平均值确定为t1。
可选的，所述控制空调开启制热之前，还包括：
判断检测时刻是否处于预定时间段之内，所述检测时刻为检测出所述睡眠状态的变化符合所述预定条件的时刻；
若所述检测时刻处于所述预定时间段之内，则执行所述控制空调开启制热的步骤。
第二方面，提供一种开启空调的装置，所述装置包括：
传感器参数获取模块，用于获取可穿戴设备中的传感器采集到的传感器参数；
生理参数确定模块，用于根据所述传感器参数确定人体生理参数；
状态变化确定模块，用于根据所述人体生理参数确定所述可穿戴设备对应用户的睡眠状态的变化；
检测模块，用于检测所述睡眠状态的变化是否符合预定条件；
控制模块，用于若所述检测模块检测出所述睡眠状态的变化符合所述预定条件，则控制空调开启制热。
可选的，所述人体生理参数心率参数、体温参数以及体动参数中的至少一种，所述生理参数确定模块，包括：
第一确定子模块，用于根据所述可穿戴设备中的红外传感器或者压电传感器采集到的参数确定所述心率参数；
第二确定子模块，用于根据所述可穿戴设备中的温度传感器采集到的参数确定所述体 温参数；
第三确定子模块，用于根据所述可穿戴设备中的体动传感器采集到的参数确定所述体动参数。
可选的，所述睡眠状态至少包括熟睡状态和浅睡状态；所述预定条件，包括：所述睡眠状态由熟睡状态进入浅睡状态。
可选的，所述装置还包括：
时长确定模块，用于在所述控制模块控制空调开启制热之前，确定所述用户处于浅睡状态的预计时长t1；
所述控制模块，包括：
第一控制子模块，用于若t1≤t2，则在检测出睡眠状态的变化符合所述预定条件时，立刻控制所述空调开启制热；
第二控制子模块，用于若t1＞t2，则在检测出睡眠状态的变化符合所述预定条件之后的t1-t2时刻控制所述空调开启制热；
其中，t2为所述空调将室温提升至指定温度的预计时长。
可选的，所述时长确定模块，包括：
状态信息获取子模块，用于获取历史睡眠状态信息，所述历史睡眠状态信息中包含所述用户历次处于浅睡状态的时长；
时长确定子模块，用于将所述用户历次处于浅睡状态的时长的平均值确定为t1。
可选的，所述装置还包括：
判断模块，用于在所述控制模块控制空调开启制热之前，判断检测时刻是否处于预定时间段之内，所述检测时刻为检测出所述睡眠状态的变化符合所述预定条件的时刻；
所述控制模块，用于若所述检测时刻处于所述预定时间段之内，则执行所述控制空调开启制热的步骤。
第三方面，提供一种开启空调的装置，所述装置包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，所述处理器被配置为：
获取可穿戴设备采集到的传感器参数；
根据所述传感器参数确定人体生理参数；
根据所述人体生理参数确定所述可穿戴设备对应用户的睡眠状态的变化；
检测所述睡眠状态的变化是否符合预定条件；
若检测出所述睡眠状态的变化符合所述预定条件，则控制空调开启制热。
本公开的实施例提供的技术方案可以包括以下有益效果：
通过获取可穿戴设备采集到的传感器参数，根据该传感器参数确定人体生理参数，根据该人体生理参数确定该可穿戴设备对应用户的睡眠状态的变化，若该睡眠状态的变化符合预定条件，则控制空调开启制热，开启空调的时间与用户清醒时间相匹配，确保在用户刚清醒时就已经将室温提升至适宜的温度，且不需要用户进行手动设置，简化用户操作，从而提高用户体验。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性的，并不能限制本公开。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本发明的实施例，并于说明书一起用于解释本发明的原理。
图1是根据部分示例性实施例示出的一种开启空调的方法所涉及的实施环境的示意图；
图2是根据一示例性实施例示出的一种开启空调的方法的流程图；
图3是根据另一示例性实施例示出的一种开启空调的方法的流程图；
图4是根据又一示例性实施例示出的一种开启空调的方法的流程图；
图5是根据一示例性实施例示出的一种开启空调的装置的框图；
图6是根据另一示例性实施例示出的一种开启空调的装置的框图；
图7是根据一示例性实施例示出的一种开启空调的装置的框图。
具体实施方式
这里将详细地对示例性实施例执行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本发明相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本发明的一些方面相一致的装置和方法的例子。
图1是根据本公开部分示例性实施例示出的一种开启空调的方法所涉及的实施环境的示意图。该实施环境包括：可穿戴设备110、空调120以及中继设备130。
可穿戴设备110可以是智能手表或者智能手环等可穿戴式的智能设备，可穿戴设备中包含若干传感器，比如红外传感器、压电传感器、温度传感器、体动传感器等。
中继设备130可以是智能手机、智能路由器等智能设备。
可穿戴设备110、空调120以及中继设备130之间通过有线或者无线网络进行连接。其中，可穿戴设备110可以直接与空调120或者空调120的遥控器建立短距离无线通信连接；或者，可穿戴设备110也可以通过中继设备130间接与空调120或者空调120的遥控器建立短距离无线通信连接。
图2是根据一示例性实施例示出的一种开启空调的方法的流程图。该开启空调的方法用于如图1所示的可穿戴设备110、空调120或者中继设备130中。如图2所示，该开启空调的方法可以包括以下步骤。
在步骤202中，获取可穿戴设备中的传感器采集到的传感器参数。
在步骤204中，根据该传感器参数确定人体生理参数。
在步骤206中，根据该人体生理参数确定该可穿戴设备对应用户的睡眠状态的变化。
在步骤208中，检测该睡眠状态的变化是否符合预定条件。
在步骤210中，若检测出该睡眠状态的变化符合该预定条件，则控制空调开启制热。
可选的，该人体生理参数心率参数、体温参数以及体动参数中的至少一种，该根据该传感器参数确定人体生理参数，包括：
根据该可穿戴设备中的红外传感器或者压电传感器采集到的参数确定该心率参数；
根据该可穿戴设备中的温度传感器采集到的参数确定该体温参数；
根据该可穿戴设备中的体动传感器采集到的参数确定该体动参数。
可选的，该睡眠状态至少包括熟睡状态和浅睡状态；该预定条件，包括：该睡眠状态由熟睡状态进入浅睡状态。
可选的，控制空调开启制热之前，还包括：
确定该用户处于浅睡状态的预计时长t1；
该控制空调开启制热，包括：
若t1≤t2，则在检测出睡眠状态的变化符合该预定条件时，立刻控制该空调开启制热；
若t1＞t2，则在检测出睡眠状态的变化符合该预定条件之后的t1-t2时刻控制该空调开启制热；
其中，t2为该空调将室温提升至指定温度的预计时长。
可选的，该确定取该用户处于浅睡状态的预计时长t1，包括：
获取历史睡眠状态信息，该历史睡眠状态信息中包含该用户历次处于浅睡状态的时长；
将该用户历次处于浅睡状态的时长的平均值确定为t1。
可选的，该控制空调开启制热之前，还包括：
判断检测时刻是否处于预定时间段之内，该检测时刻为检测出该睡眠状态的变化符合该预定条件的时刻；
若该检测时刻处于该预定时间段之内，则执行该控制空调开启制热的步骤。
综上所述，本公开实施例所示的开启空调的方法，通过获取可穿戴设备采集到的传感器参数，根据该传感器参数确定人体生理参数，根据该人体生理参数确定该可穿戴设备对应用户的睡眠状态的变化，若该睡眠状态的变化符合预定条件，则控制空调开启制热，开启空调的时间与用户清醒时间相匹配，确保在用户刚清醒时就已经将室温提升至适宜的温度，且不需要用户进行手动设置，简化用户操作，从而提高用户体验。
图3是根据另一示例性实施例示出的一种开启空调的方法的流程图。该开启空调的方法用于如图1所示的可穿戴设备110、空调120或者中继设备130中。如图3所示，该开启空调的方法可以包括以下步骤。
在步骤302中，获取可穿戴设备中的传感器采集到的传感器参数。
其中，可穿戴设备中的可以设置各种类型的传感器，比如红外传感器、压电传感器、温度传感器、体动传感器等等。
可选的，本公开实施例中，通过传感器参数可以确定下列人体生理参数中的至少一种：心率参数、体温参数以及体动参数。确定各种生理参数的方法可以如下述步骤所示。
在步骤304中，根据可穿戴设备中的红外传感器或者压电传感器采集到的参数确定该心率参数。
人体心率跳动时，会引起血管内的血压变化，进一步引起血液透光率的变化，因此，可穿戴设备中的红外传感器可以将红外发光二极管产生的红外线照射到人体的血管位置，并采集经过血管中的血液透射或反射的红外光信号，对红外传感器采集到的信号进行前置放大、滤波以及相关计算处理后就可以得出人体的实时心率值。
或者，当可穿戴设备中包含压电传感器时，还可以通过压电传感器采集血管内的血压变化，通过对该血压变化的处理也可以获得人体的实时心率值。
在步骤306中，根据该可穿戴设备中的温度传感器采集到的参数确定该体温参数。
当可穿戴设备中包含温度传感器时，可以通过温度传感器采集人体的实时体温。
在步骤308中，根据该可穿戴设备中的体动传感器采集到的参数确定该体动参数。
当可穿戴设备中包含体动传感器时，可以通过体动传感器采集人体的微小移动，比如翻身、肢体移动等。
在步骤310中，根据该人体生理参数确定该可穿戴设备对应用户的睡眠状态的变化。
用户的睡眠状态可以包括熟睡状态、浅睡状态以及清醒状态。从一种睡眠状态进入另一种睡眠状态时，比人体生理参数也会有一定的变化，比如，当用户从熟睡状态进入浅睡状态时，用户心率参数逐渐增加，体温逐渐身高，人体移动增多；反之，当用户从浅睡状态进入熟睡状态时，用户心率参数逐渐降低，体温逐渐降低，人体移动减少。通过对人体生理参数的变化分析，即可以确定用户的睡眠状态的变化情况。其中，通过分析人体生理参数来确定睡眠状态的具体算法由开发人员结合实际情况自行设定，本公开实施例不做限定。
在步骤312中，检测该睡眠状态的变化是否符合预定条件。
可选的，在本公开实施例中，可以设置该预定条件为用户的睡眠状态由熟睡状态进入浅睡状态。
此外，技术人员还可以根据用户的使用情况设置其它的预定条件，比如设置预定条件为用户的睡眠状态由浅睡状态进入清醒状态等，对此，本公开实施例不做限定。
在步骤314中，若该睡眠状态的变化符合预定条件，则控制空调开启制热。
当检测出用户的睡眠状态由熟睡状态进入浅睡状态时，可以确定用户即将苏醒并准备起床，此时可以控制空调开启并进行制热，以便在用户起床时将室温提升至事宜的温度。
在本公开实施例中，上述步骤可以全部由可穿戴设备来完成，比如，可穿戴设备为智能手环时，可以由智能手环中的传感器采集传感器参数，根据传感器参数确定人体生理参数，根据人体生理参数判断用户将要清醒起床时，向空调发送开启指令，控制空调开启制暖。
或者，上述步骤也可以由空调或者中继设备来完成，比如，智能手环将传感器采集到的传感器参数发送给空调，由空调根据传感器参数确定人体生理参数，并根据人体生理参数判断出用户将要清醒起床时开启制暖；或者，智能手环将传感器采集到的传感器参数发送给智能手机或者路由器，由智能手机或者路由器根据传感器参数确定人体生理参数，并根据人体生理参数判断出用户将要清醒起床时，向空调发送指令，控制空调开启制暖。
综上所述，本公开实施例所示的开启空调的方法，通过获取可穿戴设备采集到的传感器参数，根据该传感器参数确定人体生理参数，根据该人体生理参数确定该可穿戴设备对应用户的睡眠状态的变化，若该睡眠状态的变化符合预定条件，则控制空调开启制热，开启空调的时间与用户清醒时间相匹配，确保在用户刚清醒时就已经将室温提升至适宜的温度，且不需要用户进行手动设置，简化用户操作，从而提高用户体验。
图4是根据又一示例性实施例示出的一种开启空调的方法的流程图。该开启空调的方法用于如图1所示的可穿戴设备110、空调120或者中继设备130中。如图4所示，该开启空调的方法可以包括以下步骤。
在步骤402中，获取可穿戴设备中的传感器采集到的传感器参数。
其中，可穿戴设备中的可以设置各种类型的传感器，比如红外传感器、压电传感器、温度传感器、体动传感器等等。
在步骤404中，根据该传感器参数确定人体生理参数。
可选的，本公开实施例中需要确定的人体生理参数可以包括心率参数、体温参数以及体动参数中的至少一种。确定各种生理参数的方法可以如图3所示实施例中步骤304-308，此处不再赘述。
在步骤406中，根据该人体生理参数确定该可穿戴设备对应用户的睡眠状态的变化。
用户的睡眠状态可以包括熟睡状态、浅睡状态以及清醒状态。从一种睡眠状态进入另一种睡眠状态时，比人体生理参数也会有一定的变化，比如，当用户从熟睡状态进入浅睡状态时，用户心率参数逐渐增加，体温逐渐身高，人体移动增多；反之，当用户从浅睡状态进入熟睡状态时，用户心率参数逐渐降低，体温逐渐降低，人体移动减少。通过对人体生理参数的变化分析，即可以确定用户的睡眠状态的变化情况。
在步骤408中，检测该睡眠状态的变化是否符合预定条件，若符合预定条件，则进入步骤410。
可选的，在本公开实施例中，可以设置该预定条件为用户的睡眠状态由熟睡状态进入浅睡状态。
此外，技术人员还可以根据用户的使用情况设置其它的预定条件，比如设置预定条件为用户的睡眠状态由浅睡状态进入清醒状态等，对此，本公开实施例不做限定。
在步骤410中，判断检测时刻是否处于预定时间段之内；若是，进入步骤412，否则，步骤结束。
其中，该检测时刻为检测出该睡眠状态的变化符合该预定条件的时刻。
在一些情况下，用户的睡眠状态由熟睡状态进入浅睡状态并不一定意味着用户即将清醒并起床，比如用户半夜失眠，为了避免因为此类情况导致空调误开启，在检测出用户的睡眠状态的变化符合预定条件时，可以进一步判断检测的时间是否处于预定时间段之内，比如，判断检测的时间是否处于上午7点到9点之间，如果是，则进入后续步骤，否则，不做任何处理。
在步骤412中，获取历史睡眠状态信息，该历史睡眠状态信息中包含该用户历次处于 浅睡状态的时长；将该用户历次处于浅睡状态的时长的平均值确定为该用户处于浅睡状态的预计时长t1。
由于各个用户从进入浅睡状态到完全清醒之间的时间长度往往不一致，若用户从进入浅睡状态到完全清醒之间的时间较长，则提前开启空调会造成电量的浪费，为了在提高空调制热效果的同时节约电量，可以获取用户的历史睡眠状态信息，该历史睡眠状态信息中包含该用户熟睡状态、浅睡状态和清醒状态下的时长，并将其中历次浅睡状态下的时长的平均值作为该用户处于浅睡状态的预计时长。
其中，历史睡眠状态信息可以由可穿戴设备自行记录，也可以由智能手机等其它设备进行记录，以便用户查看，或者，供其它第三方应用调用。
在步骤414中，若t1≤t2，则在检测出睡眠状态的变化符合该预定条件时，立刻控制该空调开启制热，t2为该空调将室温提升至指定温度的预计时长。
如果该用户处于浅睡状态的预计时长比空调将室温提升至指定温度的预计时长短，则说明用户完全清醒时室温还未能提升至适宜的温度，此时需要立刻开启空调制暖。空调将室温提升至指定温度的预计时长可以根据空调的功率、制热效率以及当前室温与指定温度之间的温度差计算确定。
在步骤416中，若t1＞t2，则在检测出睡眠状态的变化符合该预定条件之后的t1-t2时刻控制该空调开启制热。
如果该用户处于浅睡状态的预计时长比空调将室温提升至指定温度的预计时长更长，则说明用户完全清醒之前就能够将室温提升至适宜的温度，此时不需要立刻开启空调制暖，而是在t1-t2时刻之后开启，以便在用户完全清醒时，正好将室温提升至适宜的温度，减少不必要的电量浪费。
在本公开实施例中，上述步骤可以全部由可穿戴设备来完成，比如，可穿戴设备为智能手环时，可以由智能手环中的传感器采集传感器参数，根据传感器参数确定人体生理参数，根据人体生理参数判断用户将要清醒起床时，向空调发送开启指令，控制空调开启制暖。
或者，上述步骤也可以由空调或者中继设备来完成，比如，智能手环将传感器采集到的传感器参数发送给空调，由空调根据传感器参数确定人体生理参数，并根据人体生理参数判断出用户将要清醒起床时开启制暖；或者，智能手环将传感器采集到的传感器参数发送给智能手机或者路由器，由智能手机或者路由器根据传感器参数确定人体生理参数，并根据人体生理参数判断出用户将要清醒起床时，向空调发送指令，控制空调开启制暖。
综上所述，本公开实施例所示的开启空调的方法，通过获取可穿戴设备采集到的传感 器参数，根据该传感器参数确定人体生理参数，根据该人体生理参数确定该可穿戴设备对应用户的睡眠状态的变化，若该睡眠状态的变化符合预定条件，则控制空调开启制热，开启空调的时间与用户清醒时间相匹配，确保在用户刚清醒时就已经将室温提升至适宜的温度，且不需要用户进行手动设置，简化用户操作，从而提高用户体验。
此外，本公开实施例所示的开启空调的方法，在控制空调开启制热之前，根据用户的历史睡眠状态信息确定用户处于浅睡状态的预计时长，并根据用户处于浅睡状态的预计时长与空调将室温提升至指定温度的预计时长之间的关系确定开启空调的具体时刻，减少不必要的电量浪费。
另外，本公开实施例所示的开启空调的方法，在检测出该睡眠状态的变化符合该预定条件的时刻处于预定时间段内时，才会执行后续控制空调开启制热的步骤，避免空调误开启。
下述为本公开装置实施例，可以用于执行本公开方法实施例。对于本公开装置实施例中未披露的细节，请参照本公开方法实施例。
图5是根据一示例性实施例示出的一种开启空调的装置的框图，该开启空调的装置可以用于如图1所示实施环境所包括的可穿戴设备110、空调120或者中继设备130中，执行如图2至4任一所示的方法的全部或者部分步骤。如图5所示，该开启空调的装置包括但不限于：传感器参数获取模块501、生理参数确定模块502、状态变化确定模块503、检测模块504以及控制模块505；
所述传感器参数获取模块501被设置为用于获取可穿戴设备中的传感器采集到的传感器参数；
所述生理参数确定模块502被设置为用于根据所述传感器参数确定人体生理参数；
所述状态变化确定模块503被设置为用于根据所述人体生理参数确定所述可穿戴设备对应用户的睡眠状态的变化；
所述检测模块504被设置为用于检测所述睡眠状态的变化是否符合预定条件；
所述控制模块505被设置为用于若所述检测模块504检测出所述睡眠状态的变化符合所述预定条件，则控制空调开启制热。
综上所述，本公开实施例所示的开启空调的装置，通过获取可穿戴设备采集到的传感器参数，根据该传感器参数确定人体生理参数，根据该人体生理参数确定该可穿戴设备对应用户的睡眠状态的变化，若该睡眠状态的变化符合预定条件，则控制空调开启制热，开启空调的时间与用户清醒时间相匹配，确保在用户刚清醒时就已经将室温提升至适宜的温 度，且不需要用户进行手动设置，简化用户操作，从而提高用户体验。
图6是根据一示例性实施例示出的一种开启空调的装置的框图，该开启空调的装置可以用于如图1所示实施环境所包括的可穿戴设备110、空调120或者中继设备130中，执行如图2至4任一所示的方法的全部或者部分步骤。如图6所示，该开启空调的装置包括但不限于：传感器参数获取模块501、生理参数确定模块502、状态变化确定模块503、检测模块504以及控制模块505；
所述传感器参数获取模块501被设置为用于获取可穿戴设备中的传感器采集到的传感器参数；
所述生理参数确定模块502被设置为用于根据所述传感器参数确定人体生理参数；
所述状态变化确定模块503被设置为用于根据所述人体生理参数确定所述可穿戴设备对应用户的睡眠状态的变化；
所述检测模块504被设置为用于检测所述睡眠状态的变化是否符合预定条件；
所述控制模块505被设置为用于若所述检测模块504检测出所述睡眠状态的变化符合所述预定条件，则控制空调开启制热。
可选的，所述人体生理参数心率参数、体温参数以及体动参数中的至少一种，所述生理参数确定模块502，包括：第一确定子模块502a、第二确定子模块502b以及第三确定子模块502c；
所述第一确定子模块502a被设置为用于根据所述可穿戴设备中的红外传感器或者压电传感器采集到的参数确定所述心率参数；
所述第二确定子模块502b被设置为用于根据所述可穿戴设备中的温度传感器采集到的参数确定所述体温参数；
所述第三确定子模块502c被设置为用于根据所述可穿戴设备中的体动传感器采集到的参数确定所述体动参数。
可选的，所述睡眠状态至少包括熟睡状态和浅睡状态；所述预定条件，包括：所述睡眠状态由熟睡状态进入浅睡状态。
可选的，所述装置还包括：时长确定模块506；
所述时长确定模块506被设置为用于在所述控制模块505控制空调开启制热之前，确定所述用户处于浅睡状态的预计时长t1；
所述控制模块505，包括：第一控制子模块505a以及第二控制子模块505b；
所述第一控制子模块505a被设置为用于若t1≤t2，则在检测出睡眠状态的变化符合所述 预定条件时，立刻控制所述空调开启制热；
所述第二控制子模块505b被设置为用于若t1＞t2，则在检测出睡眠状态的变化符合所述预定条件之后的t1-t2时刻控制所述空调开启制热；
其中，t2为所述空调将室温提升至指定温度的预计时长。
可选的，所述时长确定模块506，包括：状态信息获取子模块506a以及时长确定子模块506b；
所述状态信息获取子模块506a被设置为用于获取历史睡眠状态信息，所述历史睡眠状态信息中包含所述用户历次处于浅睡状态的时长；
所述时长确定子模块506b被设置为用于将所述用户历次处于浅睡状态的时长的平均值确定为t1。
可选的，所述装置还包括：判断模块507；
所述判断模块507被设置为用于在所述控制模块505控制空调开启制热之前，判断检测时刻是否处于预定时间段之内，所述检测时刻为检测出所述睡眠状态的变化符合所述预定条件的时刻；
所述控制模块505被设置为用于若所述检测时刻处于所述预定时间段之内，则执行所述控制空调开启制热的步骤。
综上所述，本公开实施例所示的开启空调的装置，通过获取可穿戴设备采集到的传感器参数，根据该传感器参数确定人体生理参数，根据该人体生理参数确定该可穿戴设备对应用户的睡眠状态的变化，若该睡眠状态的变化符合预定条件，则控制空调开启制热，开启空调的时间与用户清醒时间相匹配，确保在用户刚清醒时就已经将室温提升至适宜的温度，且不需要用户进行手动设置，简化用户操作，从而提高用户体验。
此外，本公开实施例所示的开启空调的装置，在控制空调开启制热之前，根据用户的历史睡眠状态信息确定用户处于浅睡状态的预计时长，并根据用户处于浅睡状态的预计时长与空调将室温提升至指定温度的预计时长之间的关系确定开启空调的具体时刻，减少不必要的电量浪费。
另外，本公开实施例所示的开启空调的装置，在检测出该睡眠状态的变化符合该预定条件的时刻处于预定时间段内时，才会执行后续控制空调开启制热的步骤，避免空调误开启。
图7是根据一示例性实施例示出的一种装置700的框图。例如，装置700可以是移动电话，计算机，数字广播终端，消息收发设备，路由设备，游戏控制台，平板设备，医疗 设备，健身设备，个人数字助理，智能控制设备，智能家电设备，智能可穿戴设备等。
参照图7，装置700可以包括以下一个或多个组件：处理组件702，存储器704，电源组件706，多媒体组件708，音频组件710，输入/输出(I/O)的接口712，传感器组件714，以及通信组件716。
处理组件702通常控制装置700的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件702可以包括一个或多个处理器718来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件702可以包括一个或多个模块，便于处理组件702和其他组件之间的交互。例如，处理组件702可以包括多媒体模块，以方便多媒体组件708和处理组件702之间的交互。
存储器704被配置为存储各种类型的数据以支持在装置700的操作。这些数据的示例包括用于在装置700上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器704可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。存储器704中还存储有一个或多个模块，该一个或多个模块被配置成由该一个或多个处理器720执行，以完成上述图2至4任一所示的方法的全部或部分步骤。
电源组件706为装置700的各种组件提供电力。电源组件706可以包括电源管理系统，一个或多个电源，及其他与为装置700生成、管理和分配电力相关联的组件。
多媒体组件708包括在所述装置700和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件708包括一个前置摄像头和/或后置摄像头。当装置700处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件710被配置为输出和/或输入音频信号。例如，音频组件710包括一个麦克风(MIC)，当装置700处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器704或经由通信组件716发送。在一些实施例中，音频组件710还包括一个扬声器，用于输出音频信号。
I/O接口712为处理组件702和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件714包括一个或多个传感器，用于为装置700提供各个方面的状态评估。例如，传感器组件714可以检测到装置700的打开/关闭状态，组件的相对定位，例如所述组件为装置700的显示器和小键盘，传感器组件714还可以检测装置700或装置700一个组件的位置改变，用户与装置700接触的存在或不存在，装置700方位或加速/减速和装置700的温度变化。传感器组件714可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件714还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件714还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。
通信组件716被配置为便于装置700和其他设备之间有线或无线方式的通信。装置700可以接入基于通信标准的无线网络，如WiFi，2G或3G，或它们的组合。在一个示例性实施例中，通信组件716经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件716还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，装置700可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述方法。
在示例性实施例中，还提供了一种包括指令的非临时性计算机可读存储介质，例如包括指令的存储器704，上述指令可由装置700的处理器718执行以完成上述方法。例如，所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
关于上述实施例中的装置，其中各个模块执行操作的具体方式已经在有关该方法的实施例中执行了详细描述，此处将不做详细阐述说明。
应当理解的是，本发明并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围执行各种修改和改变。本发明的范围仅由所附的权利要求来限制。

Claims (13)

  1. 一种开启空调的方法，其特征在于，所述方法包括：
    获取可穿戴设备中的传感器采集到的传感器参数；
    根据所述传感器参数确定人体生理参数；
    根据所述人体生理参数确定所述可穿戴设备对应用户的睡眠状态的变化；
    检测所述睡眠状态的变化是否符合预定条件；
    若检测出所述睡眠状态的变化符合所述预定条件，则控制空调开启制热。
  2. 根据权利要求1所述的方法，其特征在于，所述人体生理参数心率参数、体温参数以及体动参数中的至少一种，所述根据所述传感器参数确定人体生理参数，包括：
    根据所述可穿戴设备中的红外传感器或者压电传感器采集到的参数确定所述心率参数；
    根据所述可穿戴设备中的温度传感器采集到的参数确定所述体温参数；
    根据所述可穿戴设备中的体动传感器采集到的参数确定所述体动参数。
  3. 根据权利要求1所述的方法，其特征在于，所述睡眠状态至少包括熟睡状态和浅睡状态；所述预定条件，包括：所述睡眠状态由熟睡状态进入浅睡状态。
  4. 根据权利要求3所述的方法，其特征在于，所述控制空调开启制热之前，还包括：
    确定所述用户处于浅睡状态的预计时长t1；
    所述控制空调开启制热，包括：
    若t1≤t2，则在检测出睡眠状态的变化符合所述预定条件时，立刻控制所述空调开启制热；
    若t1＞t2，则在检测出睡眠状态的变化符合所述预定条件之后的t1-t2时刻控制所述空调开启制热；
    其中，t2为所述空调将室温提升至指定温度的预计时长。
  5. 根据权利要求4所述的方法，其特征在于，所述确定取所述用户处于浅睡状态的预计时长t1，包括：
    获取历史睡眠状态信息，所述历史睡眠状态信息中包含所述用户历次处于浅睡状态的 时长；
    将所述用户历次处于浅睡状态的时长的平均值确定为t1。
  6. 根据权利要求1所述的方法，其特征在于，所述控制空调开启制热之前，还包括：
    判断检测时刻是否处于预定时间段之内，所述检测时刻为检测出所述睡眠状态的变化符合所述预定条件的时刻；
    若所述检测时刻处于所述预定时间段之内，则执行所述控制空调开启制热的步骤。
  7. 一种开启空调的装置，其特征在于，所述装置包括：
    传感器参数获取模块，用于获取可穿戴设备中的传感器采集到的传感器参数；
    生理参数确定模块，用于根据所述传感器参数确定人体生理参数；
    状态变化确定模块，用于根据所述人体生理参数确定所述可穿戴设备对应用户的睡眠状态的变化；
    检测模块，用于检测所述睡眠状态的变化是否符合预定条件；
    控制模块，用于若所述检测模块检测出所述睡眠状态的变化符合所述预定条件，则控制空调开启制热。
  8. 根据权利要求7所述的装置，其特征在于，所述人体生理参数心率参数、体温参数以及体动参数中的至少一种，所述生理参数确定模块，包括：
    第一确定子模块，用于根据所述可穿戴设备中的红外传感器或者压电传感器采集到的参数确定所述心率参数；
    第二确定子模块，用于根据所述可穿戴设备中的温度传感器采集到的参数确定所述体温参数；
    第三确定子模块，用于根据所述可穿戴设备中的体动传感器采集到的参数确定所述体动参数。
  9. 根据权利要求7所述的装置，其特征在于，所述睡眠状态至少包括熟睡状态和浅睡状态；所述预定条件，包括：所述睡眠状态由熟睡状态进入浅睡状态。
  10. 根据权利要求9所述的装置，其特征在于，所述装置还包括：
    时长确定模块，用于在所述控制模块控制空调开启制热之前，确定所述用户处于浅睡 状态的预计时长t1；
    所述控制模块，包括：
    第一控制子模块，用于若t1≤t2，则在检测出睡眠状态的变化符合所述预定条件时，立刻控制所述空调开启制热；
    第二控制子模块，用于若t1＞t2，则在检测出睡眠状态的变化符合所述预定条件之后的t1-t2时刻控制所述空调开启制热；
    其中，t2为所述空调将室温提升至指定温度的预计时长。
  11. 根据权利要求10所述的装置，其特征在于，所述时长确定模块，包括：
    状态信息获取子模块，用于获取历史睡眠状态信息，所述历史睡眠状态信息中包含所述用户历次处于浅睡状态的时长；
    时长确定子模块，用于将所述用户历次处于浅睡状态的时长的平均值确定为t1。
  12. 根据权利要求7所述的装置，其特征在于，所述装置还包括：
    判断模块，用于在所述控制模块控制空调开启制热之前，判断检测时刻是否处于预定时间段之内，所述检测时刻为检测出所述睡眠状态的变化符合所述预定条件的时刻；
    所述控制模块，用于若所述检测时刻处于所述预定时间段之内，则执行所述控制空调开启制热的步骤。
  13. 一种开启空调的装置，其特征在于，所述装置包括：
    处理器；
    用于存储处理器可执行指令的存储器；
    其中，所述处理器被配置为：
    获取可穿戴设备采集到的传感器参数；
    根据所述传感器参数确定人体生理参数；
    根据所述人体生理参数确定所述可穿戴设备对应用户的睡眠状态的变化；
    检测所述睡眠状态的变化是否符合预定条件；
    若检测出所述睡眠状态的变化符合所述预定条件，则控制空调开启制热。
PCT/CN2015/090600 2015-05-11 2015-09-24 开启空调的方法及装置 Ceased WO2016179943A1 (zh)

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