Method and device for turning on air conditioner

Patent metadata

Field	Value
Publication number	US-2016334124-A1
Application number	US-201615091729-A
Country	US
Kind code	A1
Filing date	Apr 6, 2016
Priority date	May 11, 2015
Publication date	Nov 17, 2016
Grant date	—

Abstract

The present disclosure provides a method for turning on an air conditioner and a device for turning on an air conditioner, belonging to the field of smart home. The method includes: acquiring a sensor parameter collected by a sensor in a wearable device; determining a physiological parameter based on the sensor parameter; determining a change in a sleep state of a user wearing the wearable device based on the physiological parameter; detecting whether the change in the sleep state is in conformity with a predetermined condition; and turning on the air conditioner when the change in the sleep state is detected to be in conformity with the predetermined condition.

First claim

What is claimed is:

1 . A method for turning on an air conditioner, comprising:
acquiring a sensor parameter collected by a sensor in a wearable device; determining a physiological parameter based on the sensor parameter; determining a change in a sleep state of a user wearing the wearable device based on the physiological parameter; detecting whether the change in the sleep state is in conformity with a predetermined condition; and turning on the air conditioner when the change in the sleep state is detected to be in conformity with the predetermined condition.

2 . The method according to claim 1 , wherein the physiological parameter is at least one of a heart rate parameter, a body temperature parameter, or a body movement parameter, and
the determining a physiological parameter based on the sensor parameter comprises at least one of:
determining the heart rate parameter based on a parameter collected by an infrared sensor or a piezoelectric sensor in the wearable device;
determining the body temperature parameter based on a parameter collected by a temperature sensor in the wearable device; or
determining the body movement parameter based on a parameter collected by a body movement sensor in the wearable device.

3 . The method according to claim 1 , wherein the sleep state comprises at least a deep sleep state and a light sleep state, and
the predetermined condition comprises a transition from the deep sleep state to the light sleep state.

4 . The method according to claim 3 , wherein prior to turning on the air conditioner, the method further comprises determining an estimated length of time period t 1 during which the user will be in the light sleep state, and
the turning on the air conditioner comprises:
turning on the air conditioner immediately when the change in the sleep state is detected to be in conformity with the predetermined condition in the case of t 1 ≦t 2 ; and
turning on the air conditioner after a time period (t 1 -t 2 ) from the change in the sleep state being detected to be in conformity with the predetermined condition in the case of t 1 >t 2 ,
wherein t 2 represents an estimated length of time period during which a room temperature will be adjusted to a target temperature by the air conditioner.

5 . The method according to claim 4 , wherein the determining an estimated length of time period t 1 during which the user will be in the light sleep state comprises:
acquiring historical sleep state information including each historical time period during which the user was in the light sleep state; and determining an average length of the historical time periods during which the user was in the light sleep state as the estimated length of time period t 1 .

6 . The method according to claim 1 , wherein prior to turning on the air conditioner, the method further comprises:
determining whether a time point of detecting, at which the change in the sleep state is detected to be in conformity with the predetermined condition, is within a predetermined time period; and turning on the air conditioner when the time point of detecting is within the predetermined time period.

7 . A device for turning on an air conditioner, comprising:
a processor; and a memory configured to store instructions executable by the processor, wherein the processer is configured to:
acquire a sensor parameter collected by a wearable device;
determine a physiological parameter based on the sensor parameter;
determine a change in a sleep state of a user wearing the wearable device based on the physiological parameter;
detect whether the change in the sleep state is in conformity with a predetermined condition; and
turn on the air conditioner when the change in the sleep state is detected to be in conformity with the predetermined condition.

8 . The device according to claim 7 , wherein the physiological parameter is at least one of a heart rate parameter, a body temperature parameter, or a body movement parameter, and
the processer is configured to determine a physiological parameter based on the sensor parameter by performing at least one of:
determining the heart rate parameter based on a parameter collected by an infrared sensor or a piezoelectric sensor in the wearable device;
determining the body temperature parameter based on a parameter collected by a temperature sensor in the wearable device; or
determining the body movement parameter based on a parameter collected by a body movement sensor in the wearable device.

9 . The device according to claim 7 , wherein the sleep state comprises at least a deep sleep state and a light sleep state, and
the predetermined condition comprises a transition from the deep sleep state to the light sleep state.

10 . The device according to claim 9 , wherein the processer is further configured to determine an estimated length of time period t 1 during which the user will be in the light sleep state prior to turning on the air conditioner, and
the processer is further configured to:
turn on the air conditioner immediately when the change in the sleep state is detected to be in conformity with the predetermined condition in the case of t 1 ≦ 3 t 2 ; and
turn on the air conditioner after a time period (t 1 -t 2 ) from the change in the sleep state being detected to be in conformity with the predetermined condition in the case of t 1 >t 2 ,
wherein t 2 represents an estimated length of time period during which a room temperature will be adjusted to a target temperature by the air conditioner.

11 . The device according to claim 10 , wherein the processer is configured to determine an estimated length of time period t 1 during which the user will be in the light sleep state time by:
acquiring historical sleep state information including each historical time period during which the user was in the light sleep state; and determining an average length of the historical time periods during which the user was in the light sleep state as the estimated length of time period t 1 .

12 . The device according to claim 7 , wherein the processer is further configured to:
determine whether a time point of detecting, at which the change in the sleep state is detected to be in conformity with the predetermined condition, is within a predetermined time period prior to turning on the air conditioner; and turn on the air conditioner when the time point of detecting is within the predetermined time period.

13 . A non-transitory computer-readable storage medium having stored therein instructions that, when executed by a processor of a device, cause the device to perform a method for turning on an air conditioner, the method comprising:
acquiring a sensor parameter collected by a sensor in a wearable device; determining a physiological parameter based on the sensor parameter; determining a change in a sleep state of a user wearing the wearable device based on the physiological parameter; detecting whether the change in the sleep state is in conformity with a predetermined condition; and turning on the air conditioner when the change in the sleep state is detected to be in conformity with the predetermined condition.

Assignees

• Xiaomi Inc

Inventors

• Hou Enxing
• Yang Yun
• Chen Changbing

Classifications

• F24F11/66

  Sleep mode · CPC title

• F24F11/30 Primary

  for purposes related to the operation of the system, e.g. for safety or monitoring · CPC title

• F24F11/62

  characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values · CPC title

• A61B5/00

  Measuring for diagnostic purposes (radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00); Identification of persons · CPC title

• A61B5/681

  Wristwatch-type devices · CPC title