CN114967897A - Power consumption optimization method and device and mobile terminal - Google Patents

Abstract

The present application provides a power consumption optimization method, device and mobile terminal, wherein the method includes: according to the user's physical state data obtained from the wearable device, respectively determining the sleep stage of the previous monitoring period and the current monitoring period; The sleep stage of a monitoring period and the sleep stage of the current monitoring period are determined to determine the current user sleep stage switching situation; according to the corresponding relationship between the pre-obtained sleep stage switching situation and the power consumption optimization adjustment operation, the current user sleep stage switching situation is determined. A corresponding target power consumption optimization adjustment operation; the target power consumption optimization adjustment operation is performed. In the power consumption optimization solution provided by the present application, the mobile terminal uses the wearable device to obtain the user's body state data, determines the sleep stage switching situation according to the user's body state data, and dynamically optimizes the power consumption of the mobile terminal according to the sleep stage switching situation. The power consumption optimization effect of mobile terminals.

Description

A power consumption optimization method, device and mobile terminal

technical field

The present invention relates to the field of human-computer interaction, and in particular, to a power consumption optimization method, device and mobile terminal.

Background technique

The existing Android system realizes the optimization of standby power consumption, mainly by judging whether the mobile phone is in a low-power standby (doze state) mode by judging whether the mobile phone is on or off, whether the mobile phone is being charged, etc. By monitoring the gyroscope data of the mobile phone, it is judged whether the mobile phone is in a static state, and the location information of the mobile phone is located through the Global Positioning System (GPS) to determine the motion state of the mobile phone. According to the different states of the mobile phone and the duration of the state, enter Different low power modes. The existing Android system has the problems of slow entry speed and high requirements on the standby environment in the process of entering standby power consumption optimization. In other prior art, by recording a plurality of historical data when the screen of the mobile phone is off for a long time, the daily sleep time of the user is estimated, and a corresponding power consumption optimization solution is executed within the estimated sleep time. When the existing Android system performs the corresponding power consumption optimization process during the user's sleep time, it is difficult to enter the power consumption saving mode again after the power consumption optimization process is performed when the user sleeps irregularly or temporarily wakes up to use the mobile phone. To sum up, the prior art has the problem that the power consumption optimization effect of the mobile terminal is relatively poor.

SUMMARY OF THE INVENTION

In order to solve the above technical problems, embodiments of the present invention provide a power consumption optimization method, apparatus, and mobile terminal.

In a first aspect, an embodiment of the present invention provides a method for optimizing power consumption, which is applied to a mobile terminal, and the method includes:

According to the user's physical state data obtained from the wearable device, the sleep stages of the previous monitoring period and the current monitoring period are respectively determined;

According to the sleep stage of the previous monitoring period and the sleep stage of the current monitoring period, determine the switching situation of the current user sleep stage;

Determine the target power consumption optimization adjustment operation corresponding to the current user sleep stage switching situation according to the corresponding relationship between the pre-obtained sleep stage switching situation and the power consumption optimization adjustment operation;

The target power consumption optimization adjustment operation is performed.

In a second aspect, an embodiment of the present invention provides an apparatus for optimizing power consumption, which is applied to a mobile terminal, and the apparatus includes:

The receiving module is used to respectively determine the sleep stage of the previous monitoring period and the current monitoring period according to the user's physical state data obtained from the wearable device;

a first determining module, configured to determine the current user sleep stage switching situation according to the sleep stage of the previous monitoring cycle and the sleep stage of the current monitoring cycle;

a second determining module, configured to determine a target power consumption optimization adjustment operation corresponding to the current user sleep stage switching situation according to the pre-obtained correspondence between the sleep stage switching situation and the power consumption optimization adjustment operation;

An execution module, configured to execute the target power consumption optimization adjustment operation.

In a third aspect, an embodiment of the present invention provides a mobile terminal, including a memory and a processor, where the memory stores a computer program, and the computer program executes the power consumption optimization method provided in the first aspect when the processor runs .

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program runs on a processor, executes the power consumption optimization method provided in the first aspect.

In the above-mentioned power consumption optimization method provided by the present application, according to the user's physical state data obtained from the wearable device, the sleep stages of the previous monitoring period and the current monitoring period are respectively determined; according to the sleep stage of the previous monitoring period and the current monitoring period According to the corresponding relationship between the pre-obtained sleep stage switching situation and the power consumption optimization adjustment operation, determine the target power consumption optimization adjustment operation corresponding to the current user sleep stage switching situation; execute The target power consumption optimizes the adjustment operation. The power consumption optimization solution provided by the present application, the mobile terminal uses the wearable device to obtain the user's body state data, determines the sleep stage switching situation according to the user's body state data, and dynamically optimizes the power consumption of the mobile terminal according to the sleep stage switching situation. The power consumption optimization effect of mobile terminals.

Description of drawings

In order to illustrate the technical solutions of the present invention more clearly, the accompanying drawings required in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be It is regarded as the limitation of the protection scope of the present invention. In the various figures, similar components are numbered similarly.

Fig. 1 shows the schematic diagram of the sleep cycle provided by the present application;

Fig. 2 shows a flow chart of the power consumption optimization method provided by the present application;

3 shows a schematic diagram of the communication connection between the wearable device and the mobile terminal provided by the present application;

FIG. 4 shows another flowchart of the power consumption optimization method provided by the present application;

FIG. 5 shows another flowchart of the power consumption optimization method provided by the present application;

FIG. 6 shows a structural diagram of the power consumption optimization device provided by the present application;

FIG. 7 shows a structural diagram of the mobile terminal provided by the present application.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments.

The components of the embodiments of the invention generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations. Thus, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present invention.

Hereinafter, the terms "comprising", "having" and their cognates, which may be used in various embodiments of the present invention, are only intended to denote particular features, numbers, steps, operations, elements, components, or combinations of the foregoing, and should not be construed as first excluding the presence of or adding one or more other features, numbers, steps, operations, elements, components or combinations of the foregoing or the possibility of a combination of the foregoing.

Furthermore, the terms "first", "second", "third", etc. are only used to differentiate the description and should not be construed as indicating or implying relative importance.

Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of this invention belong. The terms (such as those defined in commonly used dictionaries) will be interpreted as having the same meaning as the contextual meaning in the relevant technical field and will not be interpreted as having an idealized or overly formal meaning, unless explicitly defined in the various embodiments of the present invention.

Example 1

Referring to FIG. 1, FIG. 1 shows a schematic diagram of a sleep cycle provided by the present application. As shown in Figure 1, the user's sleep cycle includes multiple sleep stages, the initial stage is an awake, the first sleep stage is sleep-onset, the second sleep stage is light sleep, and the third sleep stage is deep sleep, deep sleep The sleep period can also be called the deep sleep period. In order to avoid confusion, it is collectively called the deep sleep period. The fourth sleep stage is the rapid eye movement period. Users have about 4-5 sleep cycles per night, each sleep cycle is about 90-100 minutes. During the period of falling asleep, light sleep, and rapid eye movement, it is possible to enter the wake-up device and get up.

In other embodiments, the stages of the user's sleep cycle may include: wakefulness, light sleep, and deep sleep. The user's sleep cycle may have different sleep stages according to different division standards, which is not limited here.

Please refer to FIG. 2 . FIG. 2 shows a flowchart of the power consumption optimization method provided by the present application. The power consumption optimization method is described below with reference to FIG. 1 and FIG. 2 .

Step S101 , according to the user's body state data obtained from the wearable device, respectively determine the sleep stage of the previous monitoring period and the current monitoring period.

In this embodiment, the user body state data includes at least one of the following: user vital feature information, user posture information, and user sleep state information.

In this embodiment, the wearable device may be a portable device that is directly worn on the body or integrated into the user's clothes or accessories. The wearable device can be a smart bracelet, smart glasses, etc., and can perform data interaction with terminal devices, servers, etc. through a Bluetooth module and a WiFi module.

Please refer to FIG. 3 , which is a schematic diagram of a communication connection between a wearable device and a mobile terminal. The wearable device 10 includes a Bluetooth module, an attitude detection sensor, an ECG monitoring sensor, a blood oxygen sensor, etc. The user's attitude information is collected through the attitude detection sensor, the heart rate information is collected through the ECG monitoring sensor, and the blood oxygen information is collected through the blood oxygen sensor. The vital sign information may include heart rate information, blood oxygen information, pulse information, and the like. The wearable device 10 may transmit user gesture information, user vital feature information, etc. to the mobile terminal 20 . The wearable device 10 may also determine the user sleep information according to the user posture information and the user vital feature information, and send the user sleep information to the mobile terminal 20 .

The mobile terminal 20 includes a Bluetooth module, through which the user's body state data transmitted by the wearable device can be received. The standby power service module of the mobile terminal 20 matches different power consumption optimization schemes according to the user's body state data, and writes the low power consumption (doze) mode through the device low power controller (DeviceIdleController) of the Android system. relevant status information. It should be added that the mobile terminal 20 may be a smart phone, and the wearable device may perform Bluetooth matching with the smart phone. The backup power service module may exist in the mobile terminal 20 in the form of a system application (application) or a system service, and transmits an idle (idle) state switching command through a broadcast interface with the system.

Optionally, step S101 includes:

In the case that the user's physical state data includes the user sleep information of the previous monitoring period and the current monitoring period, the sleep stages of the previous monitoring period and the current monitoring period are respectively determined according to the user sleep information of the previous monitoring period and the current monitoring period ;or,

In the case that the user's physical state data includes the user's vital feature data of the previous monitoring period and the current monitoring period, according to the corresponding relationship between the pre-obtained vital feature data and the sleep stage, determine the corresponding relationship with the previous monitoring period and the current monitoring period respectively. The sleep stage corresponding to the user's vital sign data; or,

In the case that the user's physical state data includes the user's posture information of the previous monitoring period and the current monitoring period, according to the pre-obtained correspondence between the user's posture and the sleep stage, determine the users who are in the previous monitoring period and the current monitoring period respectively. The sleep stage corresponding to the posture information.

In this way, the mobile terminal can calculate the sleep stage of the user through the user sleep information, the user vital feature data, and the user posture information, thereby improving the accuracy of determining the user's sleep stage.

Optionally, the acquisition of the correspondence between the vital sign data and sleep stages includes:

Divide the range of vital characteristics values for sleep stages according to the historical data of the user's vital characteristics; or,

Acquire the baseline vital sign data of the user during a predetermined time period during the day, and calculate the vital sign data range of the sleep stage according to the baseline vital sign data and the sleep state adjustment factor;

According to the range of the vital feature data and the sleep stage, the corresponding relationship between the vital feature data and the sleep stage is determined.

For example, vital characteristic data such as pulse, respiratory rate, blood oxygen concentration, etc. can be divided into corresponding predetermined intervals according to different sleep stages, and can be divided according to historical data of the human body, which is not limited here. For example, the breathing frequency during the light sleep period is the first preset interval, and the breathing frequency during the deep sleep period is the second preset interval. The user's vital feature data monitored at 10 am during the day can be used as the baseline vital feature data, representing the vital feature data corresponding to the user during the waking period, and the sleep state adjustment factor is determined according to the life operation law of the sleep state and the waking state of the human body, for example, The sleep state adjustment factor is the percentage range of the vital feature data in different sleep stages relative to the baseline vital feature data, and the percentage range is multiplied by the baseline vital feature data to obtain the range of vital feature data corresponding to different sleep stages.

In this way, the correspondence between the vital sign data and the sleep stage can be automatically generated, and the accuracy of the correspondence between the vital sign data and the sleep stage is relatively high.

Step S102 , according to the sleep stage of the previous monitoring period and the sleep stage of the current monitoring period, determine the switching situation of the current user sleep stage.

In this embodiment, the switching of sleep stages may be switching from the awake period to the sleep-onset period, from the sleep-onset period to the deep-sleep period, from the deep-sleep period to the rapid eye movement period, from any sleep stage to the awake period, etc., There is no restriction here.

Step S103: Determine a target power consumption optimization adjustment operation corresponding to the current user sleep stage switching situation according to the pre-obtained correspondence between the sleep stage switching situation and the power consumption optimization adjustment operation.

Optionally, the target power consumption optimization adjustment operation includes at least one of the following operations:

switch to or remain in mild low power mode;

switch to or remain in a severe low-power mode;

Enable or disable the best power consumption optimization mode, when the best power consumption optimization mode is on, at least one of the network function, the near field communication function, the positioning function, and the system notification function is turned off;

Close the currently running application.

In this embodiment, the mobile terminal is installed with an Android (Android) system, and the Android system is set with a low-power (doze) mode. In the doze mode, a standby power consumption optimization mechanism is set, and during the off-screen standby period, background related applications are restricted . After the mobile terminal starts the doze mode, as long as the screen is off, stationary, and the charger is not plugged in, the mobile terminal will continue to remain in the doze mode.

The doze modes include a light doze mode and a deep doze mode. Mild low power consumption mode: The mobile terminal enters the mild low power consumption mode when the screen is off and no operation is performed for a period of time. In the mild low-power mode, if the mobile terminal does not move or operate for a period of time, it will enter the severe low-power mode, and further limit the power consumption in the severe low-power mode, for example, restrict the access of non-whitelisted applications Network, ignore the wake locks held by the application (wake locks), close the standard alarm clock (AlarmManager), delay processing until the next low-power (doze) window period, do not perform wireless network (WiFi) scanning, the system does not allow asynchronous adapters ( Adapters) to run, does not allow the (action scheduler) JobScheduler to run, etc.

Optionally, the corresponding relationship between the sleep stage switching situation and the power consumption optimization adjustment operation includes:

Turn off the best power optimization mode when the previous monitoring cycle is awake;

When switching from the awake period of the previous monitoring period to the falling asleep period of the current monitoring period, or when both the previous monitoring period and the current monitoring period are the falling asleep period, if the screen is on, the screen will be turned off and switched to light If the screen is off, switch to or maintain the mild low power mode; if the screen is off or on, close the currently running application;

Switch to or maintain a mild low-power mode when switching from the sleep-onset period of the previous monitoring period to the light-sleep period of the current monitoring period, or when both the previous monitoring period and the current monitoring period are light-sleep periods;

In the case of switching from the rapid eye movement period of the previous monitoring period to the light sleep period of the current monitoring period, switching to or maintaining the severe low power consumption mode, and starting the optimal power consumption optimization mode;

In the case of switching from the light sleep period of the previous monitoring period to the deep sleep period of the current monitoring period, if in the mild low power consumption mode, switch to the severe low power consumption mode, and start the optimal power consumption optimization mode; if not in mild low power mode and not in severe low power mode, switch to mild low power mode;

In the case that the previous monitoring period and the current monitoring period are both deep sleep periods, switch to the severe low power consumption mode, and start the optimal power consumption optimization mode;

In the case of switching from the awake period or rapid eye movement period of the previous monitoring period to the deep sleep period of the current monitoring period, if it is in the mild low power consumption mode, switch to the severe low power consumption mode, and start the maximum low power consumption mode. Best power consumption optimization mode; if not in mild low power consumption mode, switch to mild low power consumption mode;

In the case that the current monitoring period is the rapid eye movement period, switch to the severe low power consumption mode, and turn off the best power consumption optimization mode;

Switch from the awake period of the previous monitoring period to the light sleep period of the current monitoring period, switch from both the previous monitoring period and the current monitoring period to the light sleep period, or switch from the awake period of the previous monitoring period to the deep sleep period of the current monitoring period In the sleep period, if the screen is off, switch to or maintain the mild low-power mode, and if it is in the severe low-power mode, maintain the heavy low-power mode.

The following describes the sleep stages. In this embodiment, the awake period is defined as STATE0, the sleep-onset period is STATE1, the light sleep period is STATE2, the deep sleep period is STATE3, and the rapid eye movement period is STATE4. The wearable device sends the user's body state data to the mobile terminal through the Bluetooth module at regular intervals, and the user's body state data can be the above five detected sleep stages of the user. The mobile terminal records the received information, and compares the last user's body state data with the current user's body state data, which can generate various user sleep stage switching situations, user sleep stage switching situations and corresponding instructions on power consumption optimization and adjustment operations See the table below.

After the standby power service module of the mobile terminal 20 determines the user's sleep stage switching situation, it performs related power consumption optimization and adjustment operations according to the corresponding relationship between the sleep stage switching situation and the power consumption optimization adjustment operation.

Power optimization adjustment operations include fast switching between mild low power mode and severe low power mode. The standby power service module communicates with the device low power controller to control the mild low power mode and the severe low power mode. The switching, power optimization adjustment operations include enabling or disabling the best power optimization mode, when starting the best power optimization mode, closing the data connection, WiFi function, NFC function, GPS function, turning off the notification status light, network sharing, etc., Reduce power consumption to a greater extent.

Step S104, executing the target power consumption optimization adjustment operation.

For example, if the user starts the video application to watch videos or starts the audio application to listen to music at night, if it is determined according to the user's physical state data that the user switches from the awake period of the previous monitoring period to the sleep period of the current monitoring period, or from The last monitoring period and the current monitoring period are both sleep periods. When the mobile terminal is on, the screen off operation is performed, and the mode is switched to the light low power consumption mode; when the mobile terminal is off, the screen is switched to or kept on light. If the screen is off, close the currently running audio application; if the screen is on, close the currently running video application.

In this embodiment, the user's body state data is obtained from the wearable device through the sleep monitoring function of the wearable device, so as to automatically turn off the screen, enter the doze state more quickly, and activate the optimal power consumption optimization mode, even if the user's sleep time is not long. The power consumption can also be optimized according to the user's physical state data returned by the wearable device, which can effectively ensure that the user sleeps and does not use the mobile terminal to reduce the power consumption of the mobile terminal and improve the power consumption optimization effect of the mobile terminal.

Optionally, before step S101, the method further includes:

User body state data is received from the wearable device every the monitoring period.

Referring to FIG. 2 again, the mobile terminal 20 receives the user's body state data from the wearable device 10 through the Bluetooth module interval monitoring period.

Optionally, please refer to FIG. 4, before step S101, the method further includes:

Step S105, sending a request instruction to the wearable device every monitoring period, where the request instruction is used to instruct the wearable device to feed back the user's body state data within the monitoring period.

Step S106, receiving the user's body state data in the monitoring period from the wearable device.

Please refer to FIG. 2 again, the mobile terminal 20 sends a request command to the wearable device 10 through the Bluetooth module every other monitoring cycle, and the request command is used to instruct the wearable device 10 to feed back the user's body state data within the monitoring cycle. The user's body state data includes: At least one of user vital feature information, user posture information, and user sleep state information. The mobile terminal 20 receives the user's body state data in the monitoring period through the Bluetooth module.

In this way, the mobile terminal 20 can acquire the user's body state data within the monitoring period, so as to facilitate power consumption optimization management of the mobile terminal according to the user's body state data.

Optionally, please refer to Figure 5 for the acquisition of the correspondence between the sleep stage switching situation and the power consumption optimization adjustment operation, including:

Step S107: Receive the sleep stage switching situation input by the user, and receive a power consumption optimization adjustment operation corresponding to the input sleep stage switching situation, where the power consumption optimization adjustment operation includes turning off the target function module.

Step S108 , according to the received sleep stage switching situation and the set power consumption optimization adjustment operation, generate a corresponding relationship between the sleep stage switching situation and the power consumption adjustment operation.

For example, a user can customize settings for the switching of sleep stages, and set a corresponding power consumption optimization scheme for the switching of sleep stages, that is, the user can set a corresponding power consumption optimization scheme according to his sleep stage and his own habits. For example, the sleep stage switching situation set by the user may be switching from the awake period to the sleep period, from the sleep period to the deep sleep period, from the deep sleep period to the rapid eye movement period, and from any sleep stage to the awake period. For example, the user can set to disable the network function, positioning function, video playback function, and audio playback function of the mobile terminal for switching from the awake period to the sleep period. The user can switch from the falling asleep period to the deep sleeping period, and disable the network function, positioning function, video playback function, audio playback function, Bluetooth function, and near-field communication function of the mobile terminal. The user can switch from the deep sleep period to the rapid eye movement period, and disable the network function and positioning function of the mobile terminal. The user can switch from any sleep stage to the awake stage, and disable the positioning function of the mobile terminal. The backup power service module stores the user's settings and stores it in the database.

In this way, the user can set the power consumption optimization adjustment operation according to his own sleep stage and habits, and the power consumption optimization adjustment operation can be set to close several functional modules according to the user's own needs, so as to reduce the power consumption, meet the user's needs, and improve the user experience.

In the power consumption optimization method provided by the present application, the sleep stage of the previous monitoring period and the current monitoring period are respectively determined according to the user's physical state data obtained from the wearable device; according to the sleep stage of the previous monitoring period and the current monitoring period sleep stage, determine the current user sleep stage switching situation; according to the corresponding relationship between the pre-obtained sleep stage switching situation and the power consumption optimization adjustment operation, determine the target power consumption optimization adjustment operation corresponding to the current user sleep stage switching situation; Describe the target power optimization adjustment operation. The power consumption optimization solution provided by the present application, the mobile terminal uses the wearable device to obtain the user's body state data, determines the sleep stage switching situation according to the user's body state data, and dynamically optimizes the power consumption of the mobile terminal according to the sleep stage switching situation. The power consumption optimization effect of mobile terminals.

Example 2

Please refer to FIG. 6. FIG. 6 shows a structural diagram of the power consumption optimization apparatus provided by the present application.

In addition, an embodiment of the present disclosure provides an apparatus for optimizing power consumption, which is applied to a mobile terminal.

Specifically, as shown in FIG. 6 , the power consumption optimization apparatus 600 includes:

The receiving module 601 is used for respectively determining the sleep stage of the previous monitoring period and the current monitoring period according to the user's physical state data obtained from the wearable device;

A first determining module 602, configured to determine the current user sleep stage switching situation according to the sleep stage of the previous monitoring period and the sleep stage of the current monitoring period;

A second determining module 603, configured to determine a target power consumption optimization adjustment operation corresponding to the current user sleep stage switching situation according to the pre-obtained correspondence between the sleep stage switching situation and the power consumption optimization adjustment operation;

The execution module 604 is configured to execute the target power consumption optimization adjustment operation.

Optionally, the receiving module 601 is configured to respectively determine the user sleep information of the previous monitoring period and the current monitoring period according to the user sleep information of the previous monitoring period and the current monitoring period when the user's physical state data includes the user sleep information of the previous monitoring period and the current monitoring period. a monitoring period and the sleep stage of the current monitoring period; or,

In the case that the user's physical state data includes the user's vital feature data of the previous monitoring period and the current monitoring period, according to the corresponding relationship between the pre-obtained vital feature data and the sleep stage, determine the corresponding relationship with the previous monitoring period and the current monitoring period respectively. The sleep stage corresponding to the user's vital sign data; or,

In the case that the user's physical state data includes the user's posture information of the previous monitoring period and the current monitoring period, according to the pre-obtained correspondence between the user's posture and the sleep stage, determine the users who are in the previous monitoring period and the current monitoring period respectively. The sleep stage corresponding to the posture information.

Optionally, the power consumption optimization apparatus 600 further includes:

The acquisition module is used to divide the value range of the vital characteristics for the sleep stage according to the historical data of the user's vital characteristics; or,

Acquire the baseline vital sign data of the user during a predetermined time period during the day, and calculate the vital sign data range of the sleep stage according to the baseline vital sign data and the sleep state adjustment factor;

According to the range of the vital feature data and the sleep stage, the corresponding relationship between the vital feature data and the sleep stage is determined.

Optionally, the target power consumption optimization adjustment operation includes at least one of the following operations:

switch to or remain in mild low power mode;

switch to or remain in a severe low-power mode;

Enable or disable the best power consumption optimization mode, when the best power consumption optimization mode is on, at least one of the network function, the near field communication function, the positioning function, and the system notification function is turned off;

Close the currently running application.

Optionally, the corresponding relationship between the sleep stage switching situation and the power consumption optimization adjustment operation includes:

Turn off the best power optimization mode when the previous monitoring cycle is awake;

When switching from the awake period of the previous monitoring period to the falling asleep period of the current monitoring period, or when both the previous monitoring period and the current monitoring period are the falling asleep period, if the screen is on, the screen will be turned off and switched to light If the screen is off, switch to or maintain the mild low power mode; if the screen is off or on, close the currently running application;

Switch to or maintain a mild low-power mode when switching from the sleep-onset period of the previous monitoring period to the light-sleep period of the current monitoring period, or when both the previous monitoring period and the current monitoring period are light-sleep periods;

In the case of switching from the rapid eye movement period of the previous monitoring period to the light sleep period of the current monitoring period, switching to or maintaining the severe low power consumption mode, and starting the optimal power consumption optimization mode;

In the case of switching from the light sleep period of the previous monitoring period to the deep sleep period of the current monitoring period, if in the mild low power consumption mode, switch to the severe low power consumption mode, and start the optimal power consumption optimization mode; if not in mild low power mode and not in severe low power mode, switch to mild low power mode;

In the case that the previous monitoring period and the current monitoring period are both deep sleep periods, switch to the severe low power consumption mode, and start the optimal power consumption optimization mode;

In the case of switching from the awake period or rapid eye movement period of the previous monitoring period to the deep sleep period of the current monitoring period, if it is in the mild low power consumption mode, switch to the severe low power consumption mode, and start the maximum low power consumption mode. Best power consumption optimization mode; if not in mild low power consumption mode, switch to mild low power consumption mode;

In the case that the current monitoring period is the rapid eye movement period, switch to the severe low power consumption mode, and turn off the best power consumption optimization mode;

Switch from the awake period of the previous monitoring period to the light sleep period of the current monitoring period, switch from both the previous monitoring period and the current monitoring period to the light sleep period, or switch from the awake period of the previous monitoring period to the deep sleep period of the current monitoring period In the sleep period, if the screen is off, switch to or maintain the mild low-power mode, and if it is in the severe low-power mode, maintain the heavy low-power mode.

Optionally, the power consumption optimization apparatus 600 includes:

a transceiver module, configured to receive user body state data from the wearable device every monitoring period; or,

sending a request instruction to the wearable device every monitoring period, where the request instruction is used to instruct the wearable device to feed back the user's body state data within the monitoring period;

The user's body state data during the monitoring period is received from the wearable device.

Optionally, the power consumption optimization apparatus 600 includes:

a receiving module, configured to receive the sleep stage switching situation input by the user, and receive the power consumption optimization adjustment operation set by the user corresponding to the input sleep stage switching situation, and the power consumption optimization adjustment operation includes turning off the target function module;

The generation module is configured to generate a corresponding relationship between the sleep stage switching situation and the power consumption adjustment operation according to the received sleep stage switching situation and the set power consumption optimization adjustment operation.

The power consumption optimization apparatus 600 can implement the power consumption optimization method shown in FIG. 2 , which is not repeated here in order to avoid repetition.

The power consumption optimization device provided by this embodiment determines the sleep stage of the previous monitoring period and the current monitoring period respectively according to the user's physical state data obtained from the wearable device; according to the sleep stage of the previous monitoring period and the current monitoring period According to the corresponding relationship between the pre-obtained sleep stage switching situation and the power consumption optimization adjustment operation, determine the target power consumption optimization adjustment operation corresponding to the current user sleep stage switching situation; execute The target power consumption optimizes the adjustment operation. The power consumption optimization solution provided by the present application, the mobile terminal uses the wearable device to obtain the user's body state data, determines the sleep stage switching situation according to the user's body state data, and dynamically optimizes the power consumption of the mobile terminal according to the sleep stage switching situation. The power consumption optimization effect of mobile terminals.

Example 3

In addition, an embodiment of the present disclosure provides a mobile terminal, including a memory and a processor, where the memory stores a computer program, and when the computer program runs on the processor, the computer program executes the power consumption provided by the foregoing method embodiment 1 Optimization.

Specifically, as shown in FIG. 7 , the mobile terminal 700 provided in this embodiment includes:

Radio frequency unit 701, network module 702, audio output unit 703, input unit 704, sensor 705, display unit 706, user input unit 707, interface unit 708, memory 709, processor 710, and power supply 711 and other components. Those skilled in the art can understand that the structure of the mobile terminal shown in FIG. 7 does not constitute a limitation on the mobile terminal, and the mobile terminal may include more or less components than the one shown, or combine some components, or different components layout. In this embodiment of the present invention, the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a vehicle-mounted mobile terminal, a wearable device, a pedometer, and the like.

The processor 710 is configured to: determine the sleep stage of the previous monitoring period and the current monitoring period respectively according to the user's physical state data obtained from the wearable device;

According to the sleep stage of the previous monitoring period and the sleep stage of the current monitoring period, determine the switching situation of the current user sleep stage;

Determine the target power consumption optimization adjustment operation corresponding to the current user sleep stage switching situation according to the corresponding relationship between the pre-obtained sleep stage switching situation and the power consumption optimization adjustment operation;

The target power consumption optimization adjustment operation is performed.

Optionally, the processor 710 is further configured to: in the case that the user's physical state data includes the user sleep information of the previous monitoring period and the current monitoring period, respectively, according to the user sleep information of the previous monitoring period and the current monitoring period. Determine the sleep stage of the previous monitoring period and the current monitoring period; or,

In the case that the user's physical state data includes the user's vital feature data of the previous monitoring period and the current monitoring period, according to the corresponding relationship between the pre-obtained vital feature data and the sleep stage, determine the corresponding relationship with the previous monitoring period and the current monitoring period respectively. The sleep stage corresponding to the user's vital sign data; or,

In the case that the user's physical state data includes the user's posture information of the previous monitoring period and the current monitoring period, according to the pre-obtained correspondence between the user's posture and the sleep stage, determine the users who are in the previous monitoring period and the current monitoring period respectively. The sleep stage corresponding to the posture information.

Optionally, the processor 710 is further configured to: divide the value range of the vital feature for the sleep stage according to the historical data of the vital feature of the user; or,

Acquire the baseline vital sign data of the user during a predetermined time period during the day, and calculate the vital sign data range of the sleep stage according to the baseline vital sign data and the sleep state adjustment factor;

According to the range of the vital feature data and the sleep stage, the corresponding relationship between the vital feature data and the sleep stage is determined.

Optionally, the target power consumption optimization adjustment operation includes at least one of the following operations:

switch to or remain in mild low power mode;

switch to or remain in a severe low-power mode;

Enable or disable the best power consumption optimization mode, when the best power consumption optimization mode is on, at least one of the network function, the near field communication function, the positioning function, and the system notification function is turned off;

Close the currently running application.

Optionally, the processor 710 is further configured to: turn off the optimal power consumption optimization mode when the previous monitoring period is in the awake period;

When switching from the awake period of the previous monitoring period to the falling asleep period of the current monitoring period, or when both the previous monitoring period and the current monitoring period are the falling asleep period, if the screen is on, the screen will be turned off and switched to light If the screen is off, switch to or maintain the mild low power mode; if the screen is off or on, close the currently running application;

Switch to or maintain a mild low-power mode when switching from the sleep-onset period of the previous monitoring period to the light-sleep period of the current monitoring period, or when both the previous monitoring period and the current monitoring period are light-sleep periods;

In the case of switching from the rapid eye movement period of the previous monitoring period to the light sleep period of the current monitoring period, switching to or maintaining the severe low power consumption mode, and starting the optimal power consumption optimization mode;

In the case of switching from the light sleep period of the previous monitoring period to the deep sleep period of the current monitoring period, if in the mild low power consumption mode, switch to the severe low power consumption mode, and start the optimal power consumption optimization mode; if not in mild low power mode and not in severe low power mode, switch to mild low power mode;

In the case that the previous monitoring period and the current monitoring period are both deep sleep periods, switch to the severe low power consumption mode, and start the optimal power consumption optimization mode;

In the case of switching from the awake period or rapid eye movement period of the previous monitoring period to the deep sleep period of the current monitoring period, if it is in the mild low power consumption mode, switch to the severe low power consumption mode, and start the maximum low power consumption mode. Best power consumption optimization mode; if not in mild low power consumption mode, switch to mild low power consumption mode;

In the case that the current monitoring period is the rapid eye movement period, switch to the severe low power consumption mode, and turn off the best power consumption optimization mode;

Switch from the awake period of the previous monitoring period to the light sleep period of the current monitoring period, switch from both the previous monitoring period and the current monitoring period to the light sleep period, or switch from the awake period of the previous monitoring period to the deep sleep period of the current monitoring period In the sleep period, if the screen is off, switch to or maintain the mild low-power mode, and if it is in the severe low-power mode, maintain the heavy low-power mode.

Optionally, the processor 710 is further configured to: receive user body state data from the wearable device every monitoring period; or,

sending a request instruction to the wearable device every monitoring period, where the request instruction is used to instruct the wearable device to feed back the user's body state data within the monitoring period;

The user's body state data during the monitoring period is received from the wearable device.

Optionally, the processor 710 is further configured to: receive the sleep stage switching situation input by the user, and receive a power consumption optimization adjustment operation corresponding to the input sleep stage switching situation, where the power consumption optimization adjustment operation includes closing the target. functional module;

According to the received sleep stage switching situation and the set power consumption optimization adjustment operation, a corresponding relationship between the sleep stage switching situation and the power consumption adjustment operation is generated.

It should be understood that, in this embodiment of the present invention, the radio frequency unit 701 can be used for receiving and sending signals during sending and receiving of information or during a call. Specifically, after receiving the downlink data from the base station, it is processed by the processor 710; The uplink data is sent to the base station. Generally, the radio frequency unit 701 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 701 can also communicate with the network and other devices through a wireless communication system.

The mobile terminal provides the user with wireless broadband Internet access through the network module 702, such as helping the user to send and receive emails, browse web pages, access streaming media, and the like.

The audio output unit 703 may convert audio data received by the radio frequency unit 701 or the network module 702 or stored in the memory 709 into audio signals and output as sound. Also, the audio output unit 703 may also provide audio output related to a specific function performed by the mobile terminal 700 (eg, call signal reception sound, message reception sound, etc.). The audio output unit 703 includes a speaker, a buzzer, a receiver, and the like.

The input unit 704 is used to receive audio or video signals. The input unit 704 may include a graphics processor (Graphics Processing Unit, GPU) 7041 and a microphone 7042, and the graphics processor 7041 is used for still pictures or videos obtained by an image capture mobile terminal (such as a camera) in a video capture mode or an image capture mode. image data for processing. The processed image frames may be video-played on the display unit 706 . The image frames processed by the graphics processor 7041 may be stored in the memory 709 (or other storage medium) or transmitted via the radio frequency unit 701 or the network module 702 . The microphone 7042 can receive sound and can process such sound into audio data. The processed audio data can be converted into a format that can be transmitted to a mobile communication base station via the radio frequency unit 701 for output in the case of a telephone call mode.

The mobile terminal 700 also includes at least one sensor 705, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 7061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 7061 and the proximity sensor when the mobile terminal 700 is moved to the ear. / or backlight. As a kind of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in all directions (usually three axes), and can detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of mobile terminals (such as horizontal and vertical screen switching, related games , magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc.; the sensor 705 may also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, Infrared sensors, etc., are not repeated here.

The display unit 706 is used for video playing information input by the user or information provided to the user. The display unit 706 may include a display panel 7061, and the display panel 7061 may be configured in the form of a liquid crystal video player (Liquid Crystal Display, LCD), an organic light-emitting diode (Organic Light-Emitting Diode, OLED), or the like.

The user input unit 707 may be used to receive input numerical or character information, and generate key signal input related to user settings and function control of the mobile terminal. Specifically, the user input unit 707 includes a touch panel 7071 and other input devices 7072 . The touch panel 7071, also referred to as a touch screen, can collect touch operations by the user on or near it (such as the user's finger, stylus, etc., any suitable object or attachment on or near the touch panel 7071). operate). The touch panel 7071 may include two parts, a touch detection mobile terminal and a touch controller. Among them, the touch detection mobile terminal detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection mobile terminal and converts it into contact coordinates , and then send it to the processor 710 to receive the command sent by the processor 710 and execute it. In addition, the touch panel 7071 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic waves. In addition to the touch panel 7071 , the user input unit 707 may also include other input devices 7072 . Specifically, other input devices 7072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here.

Further, the touch panel 7071 can be covered on the display panel 7061. When the touch panel 7071 detects a touch operation on or near it, it transmits it to the processor 710 to determine the type of the touch event, and then the processor 710 determines the type of the touch event according to the touch The type of event provides a corresponding visual output on display panel 7061. Although in FIG. 7, the touch panel 7071 and the display panel 7061 are used as two independent components to realize the input and output functions of the mobile terminal, in some embodiments, the touch panel 7071 and the display panel 7061 may be integrated The input and output functions of the mobile terminal are implemented, which is not specifically limited here.

The interface unit 708 is an interface for connecting the external mobile terminal with the mobile terminal 700 . For example, the external mobile terminal may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a mobile terminal with an identification module, an audio input /Output (I/O) ports, video I/O ports, headphone ports, and more. The interface unit 708 may be used to receive input (eg, data information, power, etc.) from an external mobile terminal and transmit the received input to one or more elements within the mobile terminal 700 or may be used between the mobile terminal 700 and the Data transfer between external mobile terminals.

The memory 709 may be used to store software programs as well as various data. The memory 709 may mainly include a stored program area and a stored data area, wherein the stored program area may store an operating system, an application program required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; Data created by the use of the mobile phone (such as audio data, phone book, etc.), etc. Additionally, memory 709 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 710 is the control center of the mobile terminal, uses various interfaces and lines to connect various parts of the entire mobile terminal, runs or executes the software programs and/or modules stored in the memory 709, and calls the data stored in the memory 709. , perform various functions of the mobile terminal and process data, so as to monitor the mobile terminal as a whole. The processor 710 may include one or more processing units; preferably, the processor 710 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, etc., and the modem The processor mainly handles wireless communication. It can be understood that, the above-mentioned modulation and demodulation processor may not be integrated into the processor 710.

The mobile terminal 700 may also include a power source 711 (such as a battery) for supplying power to various components. Preferably, the power source 711 may be logically connected to the processor 710 through a power management system, so as to manage charging, discharging, and power consumption management through the power management system. and other functions.

In addition, the mobile terminal 700 includes some unshown functional modules, which are not repeated here.

The mobile terminal 700 can implement the power consumption optimization method shown in FIG. 2 , which is not repeated here in order to avoid repetition.

The mobile terminal provided in this embodiment determines the sleep stage of the previous monitoring period and the current monitoring period respectively according to the user's physical state data obtained from the wearable device; according to the sleep stage of the previous monitoring period and the sleep stage of the current monitoring period determine the current user sleep stage switching situation; determine the target power consumption optimization adjustment operation corresponding to the current user sleep stage switching situation according to the correspondence between the pre-obtained sleep stage switching situation and the power consumption optimization adjustment operation; execute the Target power optimization tuning operation. The mobile terminal provided by the present application uses a wearable device to obtain the user's body state data, determines the sleep stage switching situation according to the user's body state data, and dynamically optimizes the power consumption of the mobile terminal according to the sleep stage switching situation, which can improve the power consumption optimization of the mobile terminal. Effect.

Example 4

The present application also provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the following steps are implemented:

According to the user's physical state data obtained from the wearable device, the sleep stages of the previous monitoring period and the current monitoring period are respectively determined;

According to the sleep stage of the previous monitoring period and the sleep stage of the current monitoring period, determine the switching situation of the current user sleep stage;

Determine the target power consumption optimization adjustment operation corresponding to the current user sleep stage switching situation according to the corresponding relationship between the pre-obtained sleep stage switching situation and the power consumption optimization adjustment operation;

The target power consumption optimization adjustment operation is performed.

The computer-readable storage medium can implement the power consumption optimization method shown in FIG. 2 , which is not repeated here in order to avoid repetition.

In this embodiment, the computer-readable storage medium may be a read-only memory (Read-Only Memory, ROM for short), a random access memory (Random Access Memory, RAM for short), a magnetic disk, or an optical disk.

It should be noted that, herein, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or terminal comprising a series of elements includes not only those elements, It also includes other elements not expressly listed or inherent to such a process, method, article or terminal. Without further limitation, an element defined by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article or terminal that includes the element.

From the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is better implementation. Based on this understanding, the technical solutions of the present invention can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products are stored in a storage medium (such as ROM/RAM, magnetic disk, CD), including several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in the various embodiments of the present invention.

The embodiments of the present invention have been described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific embodiments, which are merely illustrative rather than restrictive. Under the inspiration of the present invention, without departing from the spirit of the present invention and the scope protected by the claims, many forms can be made, which all belong to the protection of the present invention.

Claims (10)

1. A power consumption optimization method, characterized in that, applied to a mobile terminal, the method comprising: According to the user's physical state data obtained from the wearable device, the sleep stages of the previous monitoring period and the current monitoring period are respectively determined; According to the sleep stage of the previous monitoring period and the sleep stage of the current monitoring period, determine the switching situation of the current user sleep stage; Determine the target power consumption optimization adjustment operation corresponding to the current user sleep stage switching situation according to the corresponding relationship between the pre-obtained sleep stage switching situation and the power consumption optimization adjustment operation; The target power consumption optimization adjustment operation is performed. 2. The method according to claim 1, wherein, according to the user's physical state data obtained from the wearable device, the sleep stages of the previous monitoring period and the current monitoring period are respectively determined, comprising: In the case that the user's physical state data includes the user sleep information of the previous monitoring period and the current monitoring period, the sleep stages of the previous monitoring period and the current monitoring period are respectively determined according to the user sleep information of the previous monitoring period and the current monitoring period ;or, In the case that the user's physical state data includes the user's vital feature data of the previous monitoring period and the current monitoring period, according to the corresponding relationship between the pre-obtained vital feature data and the sleep stage, determine the corresponding relationship with the previous monitoring period and the current monitoring period respectively. The sleep stage corresponding to the user's vital sign data; or, In the case that the user's physical state data includes the user's posture information of the previous monitoring period and the current monitoring period, according to the pre-obtained correspondence between the user's posture and the sleep stage, determine the users who are in the previous monitoring period and the current monitoring period respectively. The sleep stage corresponding to the posture information. 3. The method according to claim 2, wherein the acquisition of the correspondence between the vital sign data and the sleep stage comprises: Divide the range of vital characteristics values for sleep stages according to the historical data of the user's vital characteristics; or, Acquire the baseline vital sign data of the user during a predetermined time period during the day, and calculate the vital sign data range of the sleep stage according to the baseline vital sign data and the sleep state adjustment factor; According to the range of the vital feature data and the sleep stage, the corresponding relationship between the vital feature data and the sleep stage is determined. 4. The method according to claim 1, wherein the target power consumption optimization adjustment operation comprises at least one of the following operations: switch to or remain in mild low power mode; switch to or remain in a severe low-power mode; Enable or disable the best power consumption optimization mode, when the best power consumption optimization mode is on, at least one of the network function, the near field communication function, the positioning function, and the system notification function is turned off; Close the currently running application. 5. The method according to claim 4, wherein the corresponding relationship between the sleep stage switching situation and the power consumption optimization adjustment operation comprises: Turn off the best power optimization mode when the previous monitoring cycle is awake; When switching from the awake period of the previous monitoring period to the falling asleep period of the current monitoring period, or when both the previous monitoring period and the current monitoring period are the falling asleep period, if the screen is on, the screen will be turned off and switched to light If the screen is off, switch to or maintain the mild low power mode; if the screen is off or on, close the currently running application; Switch to or maintain a mild low-power mode when switching from the sleep-onset period of the previous monitoring period to the light-sleep period of the current monitoring period, or when both the previous monitoring period and the current monitoring period are light-sleep periods; In the case of switching from the rapid eye movement period of the previous monitoring period to the light sleep period of the current monitoring period, switching to or maintaining the severe low power consumption mode, and starting the optimal power consumption optimization mode; In the case of switching from the light sleep period of the previous monitoring period to the deep sleep period of the current monitoring period, if in the mild low power consumption mode, switch to the severe low power consumption mode, and start the optimal power consumption optimization mode; if not in mild low power mode and not in severe low power mode, switch to mild low power mode; In the case that the previous monitoring period and the current monitoring period are both deep sleep periods, switch to the severe low power consumption mode, and start the optimal power consumption optimization mode; In the case of switching from the awake period or rapid eye movement period of the previous monitoring period to the deep sleep period of the current monitoring period, if it is in the mild low power consumption mode, switch to the severe low power consumption mode, and start the maximum low power consumption mode. Best power consumption optimization mode; if not in mild low power consumption mode, switch to mild low power consumption mode; In the case that the current monitoring period is the rapid eye movement period, switch to the severe low power consumption mode, and turn off the best power consumption optimization mode; Switch from the awake period of the previous monitoring period to the light sleep period of the current monitoring period, switch from both the previous monitoring period and the current monitoring period to the light sleep period, or switch from the awake period of the previous monitoring period to the deep sleep period of the current monitoring period In the sleep period, if the screen is off, switch to or maintain the mild low-power mode, and if it is in the severe low-power mode, maintain the heavy low-power mode. 6 . The method according to claim 1 , wherein before the user’s physical state data obtained from the wearable device, the method further comprises: 6 . receiving user body state data from the wearable device every said monitoring period; or, sending a request instruction to the wearable device every monitoring period, where the request instruction is used to instruct the wearable device to feed back the user's body state data within the monitoring period; The user's body state data during the monitoring period is received from the wearable device. 7. The method according to claim 1, wherein the acquisition of the correspondence between the sleep stage switching situation and the power consumption optimization adjustment operation comprises: Receive the sleep stage switching situation input by the user, and receive a power consumption optimization adjustment operation set by the user corresponding to the input sleep stage switching situation, where the power consumption optimization adjustment operation includes turning off the target function module; According to the received sleep stage switching situation and the set power consumption optimization adjustment operation, a corresponding relationship between the sleep stage switching situation and the power consumption adjustment operation is generated. 8. A power consumption optimization device, characterized in that, applied to a mobile terminal, the device comprising: The receiving module is used to respectively determine the sleep stage of the previous monitoring period and the current monitoring period according to the user's physical state data obtained from the wearable device; a first determining module, configured to determine the current user sleep stage switching situation according to the sleep stage of the previous monitoring cycle and the sleep stage of the current monitoring cycle; a second determining module, configured to determine a target power consumption optimization adjustment operation corresponding to the current user sleep stage switching situation according to the pre-obtained correspondence between the sleep stage switching situation and the power consumption optimization adjustment operation; An execution module, configured to execute the target power consumption optimization adjustment operation. 9. A mobile terminal, comprising a memory and a processor, wherein the memory stores a computer program, and the computer program executes the function according to any one of claims 1 to 7 when the processor runs. consumption optimization method. 10 . A computer-readable storage medium, characterized in that it stores a computer program, and the computer program executes the power consumption optimization method according to any one of claims 1 to 7 when the computer program runs on a processor. 11 .

Images