CN111294654A - Intelligent dormancy method and device based on video application software and intelligent terminal - Google Patents

Intelligent dormancy method and device based on video application software and intelligent terminal Download PDF

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Publication number
CN111294654A
CN111294654A CN201811506303.5A CN201811506303A CN111294654A CN 111294654 A CN111294654 A CN 111294654A CN 201811506303 A CN201811506303 A CN 201811506303A CN 111294654 A CN111294654 A CN 111294654A
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current user
sleep
dormancy
application software
video application
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CN111294654B (en
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王文虎
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TCL Corp
TCL Research America Inc
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TCL Research America Inc
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/443OS processes, e.g. booting an STB, implementing a Java virtual machine in an STB or power management in an STB
    • H04N21/4436Power management, e.g. shutting down unused components of the receiver
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/4508Management of client data or end-user data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/4508Management of client data or end-user data
    • H04N21/4532Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Stored Programmes (AREA)

Abstract

The invention is suitable for the technical field of video application processing, and provides an intelligent dormancy method, an intelligent dormancy device and an intelligent terminal based on video application software, wherein the method comprises the following steps: acquiring personal information and a behavior log of a current user in video application software; determining a first dormancy period of the current user according to the behavior log; determining the type of the current user according to the personal information and the behavior log, and acquiring a second dormancy period according to the type of the current user; adjusting the second sleep period by using the first sleep period to obtain a third sleep period; performing intelligent hibernation on the video application software according to the third hibernation period. According to the intelligent dormancy method and the intelligent dormancy system, the behavior log and the personal information of the user, the use condition of the user and the dormancy time period are analyzed, the third dormancy time period meeting the personalized requirements of the user is obtained to execute the intelligent dormancy, the operation is simple and convenient, the efficiency is high, and unnecessary loss is avoided.

Description

Intelligent dormancy method and device based on video application software and intelligent terminal
Technical Field
The invention belongs to the technical field of video application processing, and particularly relates to an intelligent dormancy method and device based on video application software and an intelligent terminal.
Background
In recent years, various large video application software is rapidly developed, video live broadcast software is rapidly started, and video watching becomes one of main leisure and entertainment activities of people. The current video application software and video live broadcast software have dormancy settings in part and do not have dormancy settings in part.
However, the video application software with the sleep setting needs the user to manually set the sleep time, which is complicated in operation and low in efficiency, and when the video is continuously played and the user leaves, unnecessary power and traffic are lost.
Disclosure of Invention
In view of this, embodiments of the present invention provide an intelligent hibernation method and an intelligent terminal based on video application software, so as to solve the problems that in the prior art, the video application software with hibernation setting needs a user to manually set a hibernation time, the operation is complex, the efficiency is low, and unnecessary power and traffic losses are caused when the user leaves while the video is continuously played.
The first aspect of the embodiments of the present invention provides an intelligent hibernation method based on video application software, including:
acquiring personal information and a behavior log of a current user in video application software;
determining a first dormancy period of the current user according to the behavior log;
determining the type of the current user according to the personal information and the behavior log, and acquiring a second dormancy period according to the type of the current user;
adjusting the second sleep period by using the first sleep period to obtain a third sleep period;
performing intelligent hibernation on the video application software according to the third hibernation period.
Optionally, before performing the smart hibernation on the video application software according to the third hibernation period, the method includes:
detecting whether the current user sends a sleep instruction;
and if the current user sends a sleep instruction, executing sleep on the video application software according to the sleep instruction.
Optionally, the performing intelligent hibernation on the video application software according to the third hibernation period includes:
acquiring the state of an intelligent sleep function of the video application software;
and if the state of the intelligent dormancy function is on, performing intelligent dormancy on the video application software according to the third dormancy time period.
Optionally, determining the type of the current user according to the personal information and the behavior log, and acquiring a second sleep period according to the type of the current user, including:
acquiring personal information and behavior logs of mass users of video application software;
classifying the public users according to the personal information of the public users;
and analyzing and aggregating the behavior logs of the public users according to the classification, and modeling the aggregated behavior logs of the public users.
Analyzing and processing the behavior logs of the public users modeled according to the same type to acquire the dormancy time period of the public users of the same type; the sleep time intervals of the public users of the same type comprise the sleep time setting range of the public users of the same type;
determining the type of the current user according to the personal information of the current user and the behavior log, and acquiring the dormancy time interval of the public users of the same type according to the type of the current user to acquire the second dormancy time interval.
Optionally, the acquiring personal information and a behavior log of a current user in the video application software includes:
acquiring personal information and a behavior log of the current user in the video application software; the personal information comprises occupation and age, and the behavior log comprises the use time period of the current user, the time of sending a sleep instruction by the current user and the time of sending a wake-up instruction by the current user.
Optionally, determining a first sleep period of the current user according to the behavior log, including
And determining the sleep time period of the current user according to the use time period of the current user, the time of sending the sleep instruction by the current user and the time of sending the awakening instruction by the current user, and taking the sleep time period of the current user as a first sleep time period.
A second aspect of the embodiments of the present invention provides an intelligent hibernation apparatus based on video application software, including:
the first acquisition module is used for acquiring personal information and a behavior log of a current user in video application software;
a determining module, configured to determine a first dormancy time period of the current user according to the behavior log;
the second obtaining module is used for determining the type of the current user according to the personal information and the behavior log and obtaining a second dormancy time period according to the type of the current user;
an adjusting module, configured to adjust the second sleep period by using the first sleep period to obtain a third sleep period;
a first execution module to perform intelligent hibernation on the video application software according to the third hibernation period.
A third aspect of an embodiment of the present invention provides an intelligent terminal, including: a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method as described above when executing the computer program.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as described above.
The embodiment of the invention analyzes the behavior log, the professional information and the age of the user, the use condition of the user and the sleep time interval, obtains the third sleep time interval meeting the individual requirements of the user to execute the intelligent sleep, has simple and convenient operation and high efficiency, and avoids causing unnecessary loss.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flowchart of an intelligent hibernation method based on video application software according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of an intelligent hibernation method based on video application software according to a second embodiment of the present invention;
fig. 3 is a schematic flowchart of an intelligent hibernation method based on video application software according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an intelligent hibernation apparatus based on video application software according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an intelligent hibernation apparatus based on video application software according to a fifth embodiment of the present invention;
fig. 6 is a schematic structural diagram of an intelligent hibernation apparatus based on video application software according to a sixth embodiment of the present invention;
fig. 7 is a schematic diagram of an intelligent terminal according to a seventh embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Example one
As shown in fig. 1, the present embodiment provides an intelligent hibernation method based on video application software, which can be applied to terminal devices such as a smart television, a PC, a mobile phone, a tablet computer, and the like. The intelligent dormancy method based on the video application software provided by the embodiment comprises the following steps:
s101, acquiring personal information and a behavior log of a current user in video application software.
In specific application, acquiring personal information and a behavior log of a current user in video application software; the personal information of the current user comprises occupation information and age, and the behavior log of the current user comprises the use time period of the current user, the time when the current user sends a sleep instruction, and the time when the current user sends a wake-up instruction.
S102, determining a first dormancy time interval of the current user according to the behavior log.
In a specific application, the behavior log of the current user is counted and analyzed to determine a first sleep period of the current user. Specifically, the usage time period of the current user, the time when the current user sends the sleep instruction, and the time when the current user sends the wake-up instruction may be analyzed and counted to determine the first sleep period of the current user. For example, if the time when the current user sends the sleep command is 22:55, and the time when the current user sends the wake-up command (after the last time when the current user sends the sleep command) is 18:40 the next day, the usage time period of the current user is determined to be 18:40-22:55, and the sleep time period (i.e., the first sleep time period) of the current user is determined to be 22: 55-18: 40 the next day.
S103, determining the type of the current user according to the personal information and the behavior log, and acquiring a second dormancy period according to the type of the current user.
In specific application, the obtained behavior log and the personal information of the current user are analyzed to determine the type corresponding to the current user, and a second dormancy time period is obtained according to the type of the current user, wherein the second dormancy time period refers to the dormancy time setting range of users of the same type. For example, after analyzing according to the behavior log and the personal information of the public users, the obtained personal information is classified into a programmer for occupation and the public users aged 20-30 are classified as users of a first type, wherein the sleep time period of the users of the first type is 23:00-19: 00 the next day, and if the current users are programmers aged 20-30, the current users can be determined to be the users of the first type, the obtained second sleep time period is 23:00-19: 00 the next day. (the intelligent sleep is executed in the second sleep period to meet the sleep requirements of users corresponding to the same type of occupation and age on the video application software or the terminal equipment executing the current video application software).
And S104, adjusting the second sleep time interval by utilizing the first sleep time interval to obtain a third sleep time interval.
In specific application, a first dormancy time interval determined according to personal information and a behavior log of a current user meets the dormancy requirement of the current user on video application software, and a second dormancy time interval corresponding to the type of the current user meets the dormancy requirement of public users of the same type on the video application software.
For example, a second sleep period of 19:00 to 23:00-19:30 on the 23: 00-next day, a first sleep period of 22: 55-next day of 19:40, and a third sleep period of 22: 55-next day of 19:40 may be obtained. In one embodiment, the adjustment of the second sleep period according to the first sleep period may be performed by the following equation:
first sleep period > second sleep period [ max ],
a third sleep period being the first sleep period;
second sleep period [ min ] < first sleep period < second sleep period [ max ],
third sleep period ═ second sleep period [ max ];
first sleep period < second sleep period min,
the third sleep period is the second sleep period [ max ].
And S105, performing intelligent sleep on the video application software according to the third sleep time interval.
In specific application, the current time is obtained, and if the current time reaches the sleep execution time of the third sleep time period, intelligent sleep is executed on the video application software according to the third sleep time period. For example, the third sleep period is 23: 00-18: 40 of the next day, and when the current time is 23:00, the intelligent sleep is performed on the video application software according to the third sleep period (the video application software is controlled to enter the sleep state). In one embodiment, if it is detected that the current time is the end time of the third sleep period, the video application software is intelligently awakened according to the third sleep period, and the video application software is controlled to enter an awakening state. For example, if the current time is 18:40, the video application software is controlled to enter the awake state.
In one embodiment, the step S101 includes:
acquiring personal information and a behavior log of the current user in the video application software; the personal information comprises occupation and age, and the behavior log comprises the use time period of the current user, the time of sending a sleep instruction by the current user and the time of sending a wake-up instruction by the current user.
In specific application, acquiring personal information and a behavior log of a current user in video application software; the personal information includes, but is not limited to, occupation and age, and the behavior log includes, but is not limited to, a usage period of the current user, a time when the current user sends a sleep instruction, and a time when the current user sends a wake-up instruction.
In one embodiment, the step S102 includes:
and determining the sleep time period of the current user according to the use time period of the current user, the time of sending the sleep instruction by the current user and the time of sending the awakening instruction by the current user, and taking the sleep time period of the current user as a first sleep time period.
In specific application, the sleep time period of the current user is determined according to the use time period of the current user, the time for the current user to send the sleep instruction and the time for the current user to send the wake-up instruction, and the sleep time period of the current user is used as a first sleep time period.
The embodiment analyzes a large amount of recorded behavior logs, professional information and ages of the users, the using conditions of the users and the sleep time intervals, obtains the third sleep time interval meeting the requirements of the users to execute intelligent sleep, is simple and convenient to operate and high in efficiency, and avoids unnecessary loss.
Example two
As shown in fig. 2, this embodiment is a further description of the method steps in the first embodiment. In this embodiment, the step S105 includes:
s1051, obtaining the state of the intelligent sleep function of the video application software.
In a specific application, the state of the intelligent sleep function of the video application software is acquired (whether the intelligent sleep function is started or not).
And S1052, if the state of the intelligent sleep function is on, performing intelligent sleep on the video application software according to the third sleep time interval.
In specific application, if the state of the intelligent sleep function is on, the intelligent sleep is executed on the video application software according to the third sleep time period, and the video application software is controlled to enter the sleep state.
In one embodiment, the method further comprises:
s106, detecting whether the current user sends a sleep instruction.
And S107, if the current user sends a sleep instruction, executing sleep on the video application software according to the sleep instruction.
In specific application, whether a current user sends a sleep instruction is detected (namely, the user sends the sleep instruction through manual operation), and if the current user sends the sleep instruction, the video application software is dormant according to the sleep instruction, so that the video application software is controlled to enter a sleep state. In one embodiment, if the current user does not send the hibernation instruction, it is detected whether the current user sends an instruction to start the intelligent hibernation function or detects that the state of the intelligent hibernation function is an on state, and if the current user sends the instruction to start the intelligent hibernation function or detects that the state of the intelligent hibernation function is an on state, the intelligent hibernation is executed on the video application software according to a third hibernation period to control the video application software to enter the hibernation state.
Whether this embodiment is through sending the dormancy instruction to the user, whether intelligent dormancy function is opened and is detected and judge to the dormancy operation that different instructions correspond under the execution different situation has improved user experience.
EXAMPLE III
As shown in fig. 3, this embodiment is a further description of the method steps in the first embodiment. In this embodiment, step S103 includes:
and S1031, acquiring personal information and behavior logs of the mass users of the video application software.
In specific application, personal information and behavior logs of mass users of a preset number of video application software are acquired. The preset number can be specifically set according to the actual condition; the mass user refers to other users except the current user, and personal information of the mass user includes but is not limited to occupation and age. For example, personal information and behavior logs of a mass user of 1000-bit video application software are obtained.
S1032, classifying the public users according to the personal information of the public users.
In a specific application, the public users are classified according to their personal information. For example, users with professions of programmers and ages of 20-30 are classified as a first type of user; users aged 20-25 years and professionally students are classified as a second type of user.
S1033, analyzing and aggregating the behavior logs of the public users according to the classification, and modeling the aggregated behavior logs of the public users.
In specific application, the behavior logs of the public users are analyzed and aggregated according to different classifications, and the aggregated behavior logs of the public users are modeled. In this embodiment, the behavior log of the public user may be obtained through the server, where the behavior log of the public user includes, but is not limited to, a time period for the public user to use the video application software, a time for sending the sleep instruction, a time for sending the wake-up instruction, a duration of use, and other information.
S1034, analyzing and processing the behavior logs of the public users modeled according to the same type to acquire the dormancy time period of the public users of the same type; the sleep time intervals of the public users of the same type comprise the sleep time setting range of the public users of the same type.
In specific application, the behavior logs of the public users modeled according to the same type are analyzed and processed to obtain the dormancy periods of the public users of the same type, wherein the dormancy periods of the public users of the same type include the dormancy time setting range of the public users of the same type. For example, the general users are classified according to their professional information and age to know: occupation is programmer, users aged 20-40 are classified as a first type of users, with a sleep period of 24: 00 to 22: 00; users of all professions that meet the retirement age are of a third type, with a sleep period of 22:00 to 7:00 the next day.
S1035, determining the type of the current user according to the personal information of the current user and the behavior log, and obtaining the dormancy time period of the public users of the same type according to the type of the current user to obtain the second dormancy time period.
In specific application, the type of the current user is determined according to the personal information and the behavior log of the current user, and the dormancy time interval of public users of the same type is obtained according to the type of the current user so as to obtain a second dormancy time interval.
According to the embodiment, the sleep time setting range corresponding to mass users of different types is acquired by analyzing, processing and modeling the behavior logs and the personal information of the mass users, so that a foundation is laid for acquiring a proper sleep time period meeting the personalized requirements of the users, and the efficiency of executing intelligent sleep operation is improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Example four
As shown in fig. 4, the present embodiment provides an intelligent hibernation apparatus 100 based on video application software, for executing the method steps in the first embodiment. The intelligent hibernation apparatus 100 based on video application software provided in this embodiment includes:
the first acquisition module 101 is used for acquiring personal information and a behavior log of a current user in video application software;
a determining module 102, configured to determine a first dormancy time period of the current user according to the behavior log.
A second obtaining module 103, configured to determine a type of the current user according to the personal information and the behavior log, and obtain a second dormancy time period according to the type of the current user;
an adjusting module 104, configured to adjust the second sleep interval by using the first sleep interval to obtain a third sleep interval;
a first executing module 105, configured to execute smart hibernation on the video application software according to the third hibernation period.
In one embodiment, the first obtaining module 101 includes:
the second acquisition unit is used for acquiring the personal information and the behavior log of the current user in the video application software; the personal information comprises occupation and age, and the behavior log comprises the use time period of the current user, the time of sending a sleep instruction by the current user and the time of sending a wake-up instruction by the current user.
In one embodiment, the determining module 102 includes:
and the determining unit is used for determining the sleep time period of the current user according to the use time period of the current user, the time for sending the sleep instruction by the current user and the time for sending the awakening instruction by the current user, and taking the sleep time period of the current user as a first sleep time period.
The embodiment analyzes the behavior log, the professional information and the age of the user and the use condition and the sleep time period of the user, obtains the third sleep time period meeting the user requirements to execute intelligent sleep, is simple and convenient to operate, is high in efficiency, and avoids causing unnecessary loss.
EXAMPLE five
As shown in fig. 5, in the present embodiment, the first execution module 105 in the fourth embodiment further includes the following structure for executing the method steps in the second embodiment:
a first obtaining unit 1051, configured to obtain a state of an intelligent sleep function of the video application software;
an executing unit 1052, configured to execute the smart sleep on the video application software according to the third sleep period if the state of the smart sleep function is on.
In one embodiment, the apparatus 100 further comprises:
the detection module is used for detecting whether the current user sends a sleep instruction or not;
and the second execution module is used for executing dormancy on the video application software according to the dormancy instruction if the current user sends the dormancy instruction.
Whether this embodiment is through sending the dormancy instruction to the user, whether intelligent dormancy function is opened and is detected and judge to the dormancy operation that different instructions correspond under the execution different situation has improved user experience.
EXAMPLE six
As shown in fig. 6, in the present embodiment, the second obtaining module 103 in the fourth embodiment further includes the following structure for executing the steps of the method in the third embodiment:
a classification unit 1031, configured to obtain personal information and behavior logs of mass users of the video application software.
A third obtaining unit 1032, configured to classify the public user according to the personal information of the public user.
The modeling unit 1033 is configured to analyze and aggregate the behavior logs of the mass users according to the classification, and model the aggregated behavior logs of the mass users.
A fourth obtaining unit 1034, configured to perform analysis and processing according to the behavior logs of the public users modeled by the same type, so as to obtain the sleep time periods of the public users of the same type; the sleep time intervals of the public users of the same type comprise the sleep time setting range of the public users of the same type.
A searching unit 1035, configured to determine the type of the current user according to the personal information of the current user and the behavior log, and obtain the dormant time period of the popular users of the same type according to the type of the current user to obtain the second dormant time period.
According to the embodiment, the sleep time setting range corresponding to different types of public users is acquired by analyzing, processing and modeling the behavior logs and the personal information of the public users, so that a foundation is laid for acquiring a proper sleep time period meeting the personalized requirements of the users, and the efficiency of executing intelligent sleep operation is improved.
EXAMPLE seven
Fig. 7 is a schematic diagram of an intelligent terminal according to an embodiment of the present invention. As shown in fig. 7, the intelligent terminal 7 of this embodiment includes: a processor 70, a memory 71 and a computer program 72 stored in said memory 71 and executable on said processor 70, such as a smart hibernate program based on video applications software. The processor 70, when executing the computer program 72, implements the steps in the various video application software based intelligent hibernate method embodiments described above, such as steps 101-105 shown in fig. 1. Alternatively, the processor 70, when executing the computer program 72, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the modules 101 to 105 shown in fig. 4.
Illustratively, the computer program 72 may be partitioned into one or more modules/units that are stored in the memory 71 and executed by the processor 70 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 72 in the intelligent terminal 7. For example, the computer program 72 may be divided into a first obtaining module, a determining module, a second obtaining module, an adjusting module and a first executing module, and the specific functions of the modules are as follows:
the first acquisition module is used for acquiring personal information and a behavior log of a current user in video application software;
a determining module, configured to determine a first dormancy time period of the current user according to the behavior log;
the second obtaining module is used for determining the type of the current user according to the personal information and the behavior log and obtaining a second dormancy time period according to the type of the current user;
an adjusting module, configured to adjust the second sleep period by using the first sleep period to obtain a third sleep period;
a first execution module to perform intelligent hibernation on the video application software according to the third hibernation period.
The intelligent terminal 7 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The intelligent terminal may include, but is not limited to, a processor 70, a memory 71. It will be appreciated by those skilled in the art that fig. 7 is merely an example of the intelligent terminal 7, and does not constitute a limitation of the intelligent terminal 7, and may include more or less components than those shown, or combine certain components, or different components, for example, the intelligent terminal may also include input-output devices, network access devices, buses, etc.
The Processor 70 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 71 may be an internal storage unit of the intelligent terminal 7, such as a hard disk or a memory of the intelligent terminal 7. The memory 71 may also be an external storage device of the intelligent terminal 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital Card (SD), a Flash memory Card (Flash Card), and the like, which are equipped on the intelligent terminal 7. Further, the memory 71 may also include both an internal storage unit and an external storage device of the smart terminal 7. The memory 71 is used for storing the computer program and other programs and data required by the intelligent terminal. The memory 71 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/intelligent terminal and method can be implemented in other ways. For example, the above-described device/intelligent terminal embodiments are merely illustrative, and for example, the division of the modules or units is only one logical function division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. . Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (10)

1. An intelligent dormancy method based on video application software is characterized by comprising the following steps:
acquiring personal information and a behavior log of a current user in video application software;
determining a first dormancy period of the current user according to the behavior log;
determining the type of the current user according to the personal information and the behavior log, and acquiring a second dormancy period according to the type of the current user;
adjusting the second sleep period by using the first sleep period to obtain a third sleep period;
performing intelligent hibernation on the video application software according to the third hibernation period.
2. The intelligent dormancy method based on video application software of claim 1, wherein before performing intelligent dormancy for said video application software according to said third dormancy period, comprising:
detecting whether the current user sends a sleep instruction;
and if the current user sends a sleep instruction, executing sleep on the video application software according to the sleep instruction.
3. The video application software-based smart hibernate method of claim 1, wherein said performing smart hibernate for the video application software according to the third hibernate period comprises:
acquiring the state of an intelligent sleep function of the video application software;
and if the state of the intelligent dormancy function is on, performing intelligent dormancy on the video application software according to the third dormancy time period.
4. The intelligent dormancy method according to claim 1, wherein said determining the type of the current user according to the personal information and the behavior log, and obtaining a second dormancy period according to the type of the current user comprises:
acquiring personal information and behavior logs of mass users of video application software;
classifying the public users according to the personal information of the public users;
and analyzing and aggregating the behavior logs of the public users according to the classification, and modeling the aggregated behavior logs of the public users.
Analyzing and processing the behavior logs of the public users modeled according to the same type to acquire the dormancy time period of the public users of the same type; the sleep time intervals of the public users of the same type comprise the sleep time setting range of the public users of the same type;
determining the type of the current user according to the personal information of the current user and the behavior log, and acquiring the dormancy time interval of the public users of the same type according to the type of the current user to acquire the second dormancy time interval.
5. The intelligent dormancy method based on video application software as claimed in claim 1, wherein said obtaining the personal information and behavior log of the current user in the video application software comprises:
acquiring personal information and a behavior log of the current user in the video application software; the personal information comprises occupation and age, and the behavior log comprises the use time period of the current user, the time of sending a sleep instruction by the current user and the time of sending a wake-up instruction by the current user.
6. The intelligent dormancy method of claim 5, wherein determining the first dormancy period of the current user based on the behavior log comprises
And determining the sleep time period of the current user according to the use time period of the current user, the time of sending the sleep instruction by the current user and the time of sending the awakening instruction by the current user, and taking the sleep time period of the current user as a first sleep time period.
7. An intelligent hibernation apparatus based on video application software, comprising:
the first acquisition module is used for acquiring personal information and a behavior log of a current user in video application software;
a determining module, configured to determine a first dormancy time period of the current user according to the behavior log;
the second obtaining module is used for determining the type of the current user according to the personal information and the behavior log and obtaining a second dormancy time period according to the type of the current user;
an adjusting module, configured to adjust the second sleep period by using the first sleep period to obtain a third sleep period;
a first execution module to perform intelligent hibernation on the video application software according to the third hibernation period.
8. The intelligent sleep apparatus based on video application software as claimed in claim 7, wherein said apparatus further comprises:
the detection module is used for detecting whether the current user sends a sleep instruction or not;
and the second execution module is used for executing dormancy on the video application software according to the dormancy instruction if the current user sends the dormancy instruction.
9. An intelligent terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the steps of the method according to any of claims 1 to 6 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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CN105404382A (en) * 2015-11-30 2016-03-16 小米科技有限责任公司 Power saving mode setting method and apparatus
CN106604131A (en) * 2016-12-08 2017-04-26 微鲸科技有限公司 Intelligent standby method based on user standby habits
JP2018140594A (en) * 2017-02-28 2018-09-13 コニカミノルタ株式会社 Information processing system, image processing device, and control program

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104023129A (en) * 2014-05-22 2014-09-03 小米科技有限责任公司 Power saving method and device thereof
CN105404382A (en) * 2015-11-30 2016-03-16 小米科技有限责任公司 Power saving mode setting method and apparatus
CN106604131A (en) * 2016-12-08 2017-04-26 微鲸科技有限公司 Intelligent standby method based on user standby habits
JP2018140594A (en) * 2017-02-28 2018-09-13 コニカミノルタ株式会社 Information processing system, image processing device, and control program

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