CN109298640A - A kind of management method and device of smart machine - Google Patents

A kind of management method and device of smart machine Download PDF

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Publication number
CN109298640A
CN109298640A CN201810903463.7A CN201810903463A CN109298640A CN 109298640 A CN109298640 A CN 109298640A CN 201810903463 A CN201810903463 A CN 201810903463A CN 109298640 A CN109298640 A CN 109298640A
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CN
China
Prior art keywords
user
behavior
application program
prediction result
default application
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CN201810903463.7A
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Chinese (zh)
Inventor
陈杰
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Beijing Qihoo Technology Co Ltd
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Beijing Qihoo Technology Co Ltd
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Priority to CN201810903463.7A priority Critical patent/CN109298640A/en
Publication of CN109298640A publication Critical patent/CN109298640A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00Systems controlled by a computer
    • G05B15/02Systems controlled by a computer electric
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/26Pc applications
    • G05B2219/2642Domotique, domestic, home control, automation, smart house
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The present invention relates to internet of things field, more particularly to a kind of management method and device of smart machine, this method comprises: obtaining the currently used scene information of default application program, the default application program and multiple smart machines are bound, to control multiple smart machines, based on the usage scenario information currently obtained, the first behavior of user is predicted, obtain the first prediction result, first behavior is that user will be to the behavior that Intelligent target equipment is operated, based on first prediction result, adjust the user interface layout of default application program, it solves existing user and needs to comform when needing and controlling smart machine in multioperation icon and search corresponding handle icon, it both wastes time in this way, operating efficiency also not high problem, and then it can be according to the daily habit active accommodation handle icon of user in homepage circle The displaying in face, it is user-friendly, the operating efficiency of user is improved, and improve the intelligence of smart machine.

Description

A kind of management method and device of smart machine
Technical field
The present invention relates to internet of things field more particularly to the management methods and device of a kind of smart machine.
Background technique
Due to the continuous development of science and technology, and more and more smart machines (such as: intelligent air condition, smart television, intelligence electricity Lamp, Intelligent air purifier, etc.) enter people's lives, these smart machines have the characteristics that one it is common, that is, can be with It is connect by wireless network with cloud, in this way, user can be communicated by mobile phone with cloud, realizes the control to smart machine (such as: be switched on, shut down, etc.).
Super APP can be bound with multiple smart machines simultaneously, to realize through an APP to multiple smart machines It is controlled.This convenient and fast control mode is brought convenience to people's lives.
But since present smart machine is more and more, when user is using super APP control smart machine, user It needing to comform and finds the corresponding handle icon of required smart machine in multioperation icon, user's operation is complicated, and it is very inconvenient, it leads Cause the operating efficiency of smart machine lower.
Therefore, the operating efficiency for how improving smart machine is a problem to be solved.
Summary of the invention
In view of the above problems, it proposes on the present invention overcomes the above problem or at least be partially solved in order to provide one kind State the management method and device of the smart machine of problem.
In a first aspect, the embodiment of the present invention provides a kind of management method of smart machine, comprising:
The currently used scene information of default application program is obtained, the default application program is tied up with multiple smart machines It is fixed, for controlling the multiple smart machine;
Based on the currently used scene information, the first behavior of the user is predicted, obtains the first prediction knot Fruit, first behavior are the rows that the user will operate Intelligent target equipment by the default application program For the Intelligent target equipment belongs to the multiple smart machine;
Based on first prediction result, the user interface layout of the default application program is adjusted.
Preferably, the currently used scene information for obtaining default application program, comprising:
When the default application program is activated, current time information is obtained;And/or
When the default application program is activated, the current location information of mobile terminal is obtained.
Preferably, described to be based on the currently used scene information, the first behavior of the user is predicted, is obtained First prediction result, comprising:
Obtain the historical behavior data of the user corresponding with the currently used scene information;
The historical behavior data are analyzed, obtain the user to the operation rule of the Intelligent target equipment;
Based on the operation rule, first behavior is predicted, first prediction result is obtained.
Preferably, described to be based on the currently used scene information, the first behavior of the user is predicted, is obtained First prediction result, comprising:
The currently used scene information is sent to server;
Receive first prediction result of the server feedback.
Preferably, described to be based on first prediction result, adjust the user interface layout of the default application program, packet It includes:
Based on first prediction result, M handle icon corresponding with first behavior, the M operation are determined Icon is located in the user interface, and for controlling the Intelligent target equipment, M is positive integer;
The M handle icon is shown into the homepage in the user interface, to facilitate the user to operate described M Icon is operated.
Preferably, the homepage M operation button shown in the user interface, comprising:
The M handle icon is shown in the homepage before other handle icons;Or
The M handle icon is shown into the white space in the homepage.
Preferably, the method also includes:
Acquire ambient condition information;
Based on the ambient condition information, judges whether first behavior exists with the ambient condition information and conflict;
Conflict if it exists, then exports prompt information relevant to the conflict.
Preferably, the method also includes:
In Intelligent target equipment operation, based on the history data of the Intelligent target equipment, to the use Second behavior at family predicted, obtains the second prediction result, and second behavior is located at after the first row is, and is used for The Intelligent target equipment is operated;
Based on second prediction result, the Intelligent target equipment is controlled.
Preferably, the method also includes:
It is based on after user interface adjusted operates the Intelligent target equipment in the user, based on described the One behavior obtains other users historical behavior data;
Based on the other users historical behavior data, the current demand of the user is determined;
Export the recommendation information for meeting the current demand.
Second aspect, the present invention also provides a kind of managing devices of smart machine, comprising:
Usage scenario obtains module, for obtaining the currently used scene information of default application program, the default application Program and multiple smart machines are bound, for controlling the multiple smart machine;
First behavior prediction module, for being based on the currently used scene information, to the first behavior of the user into Row prediction, obtains the first prediction result, first behavior is that the user will be by the default application program to target The behavior that smart machine is operated, the Intelligent target equipment belong to the multiple smart machine;
Module is adjusted, for being based on first prediction result, adjusts the user interface layout of the default application program.
Preferably, usage scenario obtains module, comprising:
First acquisition unit, for obtaining current time information when the default application program is activated;And/or
Second acquisition unit, for obtaining the present bit confidence of mobile terminal when the default application program is activated Breath.
Preferably, the first behavior prediction module, comprising:
Third acquiring unit, for obtaining the historical behavior number of the user corresponding with the currently used scene information According to;
It operates regular obtaining unit and obtains the user to the mesh for analyzing the historical behavior data Mark the operation rule of smart machine;
Prediction result obtaining unit, for predicting first behavior, described in acquisition based on the operation rule First prediction result.
Preferably, the first behavior prediction module, comprising:
Transmission unit, for the currently used scene information to be sent to server;
Receiving unit, for receiving first prediction result of the server feedback.
Preferably, module is adjusted, comprising:
Determination unit determines M operation diagram corresponding with first behavior for being based on first prediction result Mark, the M handle icon are located in the user interface, and for controlling the Intelligent target equipment, M is positive whole Number;
Display unit, for the M handle icon to be shown to the homepage in the user interface, to facilitate the user The M handle icon key is operated.
Preferably, display unit is specifically used for: the M handle icon is shown other handle icons in the homepage Before;Or
The M handle icon is shown into the white space in the homepage.
Preferably, further includes:
Acquisition module, for acquiring ambient condition information;
Judgment module, for be based on the ambient condition information, judge first behavior whether with the ambient enviroment There is conflict in information;
Prompt information output module, for when there is conflict, then exporting prompt information relevant to the conflict.
Preferably, further includes:
Second behavior prediction module is used in Intelligent target equipment operation, based on the Intelligent target equipment History data predicts the second behavior of the user, obtains the second prediction result, and second behavior is located at institute It states after the first row is, and for being operated to the Intelligent target equipment;
Control module controls the Intelligent target equipment for being based on second prediction result.
Preferably, further includes:
Other users historical behavior obtains module, for being based on user interface adjusted to the target in the user After smart machine is operated, it is based on first behavior, obtains other users historical behavior data;
Demand determining module determines the current demand of the user for being based on the other users historical behavior data;
Recommendation information output module, for exporting the recommendation information for meeting the current demand.
The third aspect, the present invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, special Sign is, any method and step in first aspect is realized when which is executed by processor.
Fourth aspect, the present invention also provides a kind of server, including memory, processor and storage are on a memory and can The computer program run on a processor, the processor realize side described in any one of first aspect when executing described program The step of method.
One or more technical solutions in the embodiment of the present invention, have at least the following technical effects or advantages:
A kind of management method of smart machine provided by the invention, the current scene letter including obtaining default application program Breath, be based on the usage scenario information, the first behavior of user is predicted, to obtain the first prediction result, based on this first Prediction result adjusts the user interface layout of the default application program, solves user in the prior art and is needing to set intelligence When standby control, corresponding handle icon is searched in the multioperation icon that needs to comform, is both wasted time in this way, operating efficiency is not also high The problem of, so can according to user it is daily habit active accommodation handle icon home interface display, consequently facilitating with The operation at family, improves the operating efficiency of user, and improves the intelligence of smart machine.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention Limitation.And throughout the drawings, identical component is indicated with identical reference pattern.In the accompanying drawings:
Fig. 1 shows the flow chart of the management method of the smart machine in first embodiment of the invention;
The homepage that Fig. 2 a, Fig. 2 b show user interface in first embodiment of the invention shows schematic diagram;
Fig. 3 shows the structure chart of the managing device of the smart machine in second embodiment of the invention;
Fig. 4 shows the structure chart of the computer equipment in fourth embodiment of the invention.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure It is fully disclosed to those skilled in the art.
General thought of the invention is as follows:
In a certain usage scenario (such as: in the next usage scenario gone back home of user), when opening super APP, The super APP can be current desired according to user usage scenario, the operation behavior of user is predicted, i.e., prediction user may The icon that can be operated on the super APP, according to such prediction, the icon that will likely can be operated automatically shows super at this The homepage of APP is convenient for user's fast operating, to improve the operating efficiency of user, while also improving the intelligence of smart machine Energyization.
A kind of management method for smart machine that first embodiment of the invention provides, as shown in Figure 1, comprising:
S101 obtains the currently used scene information of default application program, the default application program and multiple smart machines Binding, for controlling multiple smart machines.
S102 is based on currently used scene information, predicts the first behavior of user, obtains the first prediction result, First behavior is the behavior that user will operate Intelligent target equipment by presetting application program, which sets It is standby to belong to multiple smart machine;
S103 is based on the first prediction result, adjusts the user interface layout of default application program.
In a particular embodiment, S101 obtains the currently used scene information of default application program.
The default application program and multiple smart machines are bound, for controlling multiple smart machines.Multiple intelligence Equipment specifically can be smart television, intelligent air condition, intelligent electric lamp, Intelligent air purifier etc..The default application program tool Body is super APP, and the page shows the control icon of multiple smart machines after which opens.
The currently used scene information for obtaining default application program obtains specifically when this is preset application program and is activated Current time information is taken, and/or when this is preset application program and is activated, obtains the current location information of mobile terminal.
For example, detecting that the current time is 6 pm, the time as the super APP on the manually opened mobile phone of user It is that user comes off duty the time gone back home, at this point, determining that current usage scenario is the scene gone back home of coming off duty.
Another way is to detect that the position of active user is mobile as the super APP on the manually opened mobile phone of user It is to be gone back home by company, determines that current usage scenario is the scene gone back home of coming off duty.
It is to combine time and position there are also a kind of mode, for example, when opening super APP, when detecting current Between be 6 pm, detect that the position of active user is to determine that current usage scenario is the scene remotely controlled in market. If detecting that the current time is 6 pm when opening the super APP, be detected simultaneously by active user position be Family, determines that current usage scenario is to revert to the usage scenario of family.
After getting current usage scenario information, S102 is executed, the current usage scenario information is based on, to user The first behavior predicted that obtain the first default result, which is that user will be by default application program to mesh The behavior that mark smart machine is operated, the Intelligent target equipment belong to multiple smart machines.
Specifically, firstly, obtaining the historical behavior data of user corresponding with currently used scene information;Then, to this Historical behavior data are analyzed, and obtain user to the operation rule of Intelligent target equipment;Finally, based on operation rule, it is right First behavior is predicted, first prediction result is obtained.
In a particular embodiment, it is first obtained one week or one according to the current usage scenario information come off duty and gone back home In a month time, user is come off duty when going back home daily to the history information of smart machine operation, i.e. the history row of user Then the historical behavior data are analyzed for data, specifically analyze the smart machine of daily next unlatching of going back home Classification, opens the frequency of the smart machine in this period of time, and duration opened etc. information.Exist to obtain the user To the operation rule of smart machine under the usage scenario gone back home of coming off duty.It goes back home for example, user comes off duty, usually first opens intelligence Electric light, then opens smart television again, then opens intelligent kitchen tools;Entering winter, user comes off duty and goes back home, and will increase unlatching intelligence Air purifier.
With the variation in season, for example, into summer it is most hot when, user come off duty goes back home, also will increase Intelligent air Unlatching of tune etc..
User based on above-mentioned acquisition is regular to the operation of Intelligent target equipment, predicts the first behavior of user, Obtain the first prediction result.
For example, according to above-mentioned user to the operation of Intelligent target equipment rule, to user come off duty go back home it is such a Behavior under usage scenario is predicted, is obtained user in the usage scenario gone back home of coming off duty, can be operated intelligent electric lamp, intelligence The prediction result of TV, intelligent kitchen tools.
Above-mentioned is the prediction result fed back according to super APP, wherein can be the carrier of the super APP: mobile phone is flat The prediction result that plate computer detection obtains can also be carrier (mobile phone or tablet computer) by super APP by the field of acquisition Scape information is sent to server, and the historical behavior data of user corresponding with the usage scenario information are obtained by server, then, The historical behavior data are analyzed by server, obtain user to the operation rule of Intelligent target equipment, finally, based on should Operation rule, predicts first behavior, to obtain the first prediction result, by server feedback, first prediction is tied Fruit.Specifically, it is just no longer described in detail by the process that server analyzes historical behavior data.
After obtaining first default result, S103 is executed, is based on first prediction result, it is default using journey to adjust this The user interface layout of sequence, specifically includes:
Based on first prediction result, M handle icon corresponding with first behavior, the M operation diagram mark are determined In in the user interface of default application program, for controlling Intelligent target equipment, M is positive integer;By the M operation diagram Mark is shown in the homepage of user interface, to facilitate user to operate this M handle icon.
Specifically, according to the next scene information gone back home of the user of above-mentioned acquisition, the first prediction result of acquisition is out Open intelligent electric lamp, smart television, intelligent kitchen tools, then it is determined that these three handle icons, these three icons are shown in user The homepage at interface.
Specifically when the homepage of user interface is shown, M handle icon can be shown in homepage relative to other operations Before icon, or the white space in homepage is directly shown, as shown in Fig. 2 a, Fig. 2 b.Wherein, Fig. 2 a is M operation Icon show in homepage relative to other handle icons before;Fig. 2 b is that M handle icon directly shows the sky in homepage White region.It can also be shown by the way of suspending, in this way, no matter how the user interface changes, the M handle icon is not It is dynamic, convenient for user to the M handle icon fast operating shown in advance.
After the user interface layout for having adjusted default application program, further includes: show in the user interface other Useful data, the useful data are used to improve the intelligentized control method to smart machine.
Specifically include following three kinds of useful datas:
The first, the prompt of conflicting information.
Acquire ambient condition information;Based on the ambient condition information, judge first behavior whether with ambient condition information There are conflicts;Conflict if it exists, then exports prompt information relevant to the conflict.
In specific embodiment, when user goes back home, the default application program according to the first behavior prediction to user, After the user interface layout for adjusting the default application program, will be used to control in the user interface layout (such as: open) intelligence Can electric light, Intelligent air purifier, smart television, intelligent kitchen tools handle icon preferentially show.At this point, detecting the present by mobile phone It air quality is excellent environmental information, to judge that user opens behavior and the current air mass of Intelligent air purifier There is conflict for excellent information, i.e., air quality is higher, without opening Intelligent air purifier.Therefore, it is " modern to export prompt information Its air quality is excellent, it is determined whether also to continue starting Intelligent air purifier ".Certainly, user can select according to guiding The operation opened or be not turned on.
Second, the prompt of reservation information.
In the operation of Intelligent target equipment, based on the history data of the Intelligent target equipment, to the second row of user To be predicted, the second prediction result is obtained, wherein second behavior is located at after the first row is, and is used for the target intelligence Energy equipment is operated;Based on second prediction result, which is controlled.
In a particular embodiment, when user goes back home, the figure that user interface in default application program is preferentially shown After mark is operated, the smart machine of the corresponding icon is also accordingly opened, for example, intelligent electric lamp is opened, smart television is opened It opens, intelligent air condition is opened, wherein when clicking the icon of smart television, the corresponding prompt for popping up reservation information: whether small 2 When after close.The content of the reservation information is according to daily rule when using smart television of user (that is: use generated There is the habit for closing smart television after 2 hours at family), the reservation information is for user's selection, if user selects to determine 2 hours It closes later, then the smart television can be automatically closed by operating again without user after 2 hr.If user selects refusal It is closed after 2 hours, then if necessary to close, also user is needed to be manually operated.
The third, recommendation information prompt.
After user operates Intelligent target equipment based on user interface adjusted, it is based on first behavior, is obtained Take other users historical behavior data;Based on other users historical behavior data, the current demand of user is determined;Output is for full The recommendation information of sufficient current demand.
In a particular embodiment, after user operates according to the icon that user interface is preferentially shown, according to big number According to statistics obtain historical behavior data of the other users under the usage scenario, obtain the current demand of the user.For example, with It include icon, the intelligence of intelligent electric lamp in the usage scenario to be gone out to work of family, in the user interface of the default application rollouts Can TV icon, when the user clicks the icon of intelligent electric lamp, smart television icon intelligent electric lamp, smart television are closed After closing, according to the statistics of big data, there are also the operations for the icon for clicking intelligent sweeping robot for other users, so that it is determined that should User's current demand is cleared up room floors.According to such demand, to export for meeting user's current demand Recommendation information, for example, recommended user buys intelligent sweeping robot etc. when can be convenient user and going out, the intelligence of unlatching is set It is standby.
One or more technical solutions in the embodiment of the present invention, have at least the following technical effects or advantages:
A kind of management method of smart machine provided by the invention, the current scene letter including obtaining default application program Breath, be based on the usage scenario information, the first behavior of user is predicted, to obtain the first prediction result, based on this first Prediction result adjusts the user interface layout of the default application program, solves user in the prior art and is needing to set intelligence When standby control, corresponding handle icon is searched in the multioperation icon that needs to comform, is both wasted time in this way, operating efficiency is not also high The problem of, so can according to user it is daily habit active accommodation handle icon home interface display, consequently facilitating with The operation at family, improves the operating efficiency of user, and improves the intelligence of smart machine.
Based on identical inventive concept, second embodiment of the invention additionally provides a kind of managing device of smart machine, such as Shown in Fig. 3, comprising:
Usage scenario obtains module 301, and for obtaining the currently used scene information of default application program, described preset is answered It is bound with program and multiple smart machines, for controlling the multiple smart machine;
First behavior prediction module 302, for being based on the currently used scene information, the first behavior to the user It is predicted, obtains the first prediction result, first behavior is that the user will be by the default application program to mesh The behavior that mark smart machine is operated, the Intelligent target equipment belong to the multiple smart machine;
Module 303 is adjusted, for being based on first prediction result, adjusts the user interface cloth of the default application program Office.
In a preferred embodiment, usage scenario obtains module 301, comprising:
First acquisition unit, for obtaining current time information when the default application program is activated;And/or
Second acquisition unit, for obtaining the present bit confidence of mobile terminal when the default application program is activated Breath.
In a preferred embodiment, the first behavior prediction module 302, comprising:
Third acquiring unit, for obtaining the historical behavior number of the user corresponding with the currently used scene information According to;
It operates regular obtaining unit and obtains the user to the mesh for analyzing the historical behavior data Mark the operation rule of smart machine;
Prediction result obtaining unit, for predicting first behavior, described in acquisition based on the operation rule First prediction result.
In a preferred embodiment, the first behavior prediction module 302, comprising:
Transmission unit, for the currently used scene information to be sent to server;
Receiving unit, for receiving first prediction result of the server feedback.
In a preferred embodiment, module 303 is adjusted, comprising:
Determination unit determines M operation diagram corresponding with first behavior for being based on first prediction result Mark, the M handle icon are located in the user interface, and for controlling the Intelligent target equipment, M is positive whole Number;
Display unit, for the M handle icon to be shown to the homepage in the user interface, to facilitate the user The M handle icon key is operated.
In a preferred embodiment, display unit is specifically used for: the M handle icon is shown in the head On page before other handle icons;Or
The M handle icon is shown into the white space in the homepage.
In a preferred embodiment, further includes:
Acquisition module, for acquiring ambient condition information;
Judgment module, for be based on the ambient condition information, judge first behavior whether with the ambient enviroment There is conflict in information;
Prompt information output module, for when there is conflict, then exporting prompt information relevant to the conflict.
In a preferred embodiment, further includes:
Second behavior prediction module is used in Intelligent target equipment operation, based on the Intelligent target equipment History data predicts the second behavior of the user, obtains the second prediction result, and second behavior is located at institute It states after the first row is, and for being operated to the Intelligent target equipment;
Control module controls the Intelligent target equipment for being based on second prediction result.
In a preferred embodiment, further includes:
Other users historical behavior obtains module, for being based on user interface adjusted to the target in the user After smart machine is operated, it is based on first behavior, obtains other users historical behavior data;
Demand determining module determines the current demand of the user for being based on the other users historical behavior data;
Recommendation information output module, for exporting the recommendation information for meeting the current demand.
Based on the same inventive concept, third embodiment of the invention also provides a kind of computer readable storage medium, deposits thereon Computer program is contained, method and step described in aforementioned first embodiment is realized when which is executed by processor.
Based on the same inventive concept, fourth embodiment of the invention additionally provides a kind of computer equipment, as shown in figure 4, being Convenient for explanation, only parts related to embodiments of the present invention are shown, disclosed by specific technical details, please refers to the present invention Embodiment method part.The computer equipment can be include mobile phone, tablet computer, PDA (Personal Digital Assistant, personal digital assistant), POS (Point of Sales, point-of-sale terminal), any terminal device such as vehicle-mounted computer, By taking computer equipment is mobile phone as an example:
Fig. 4 shows the block diagram of part-structure relevant to computer equipment provided in an embodiment of the present invention.With reference to figure 4, which includes: memory 401 and processor 402.It will be understood by those skilled in the art that being counted shown in Fig. 3 It calculates machine equipment structure and does not constitute the restriction to computer equipment, may include than illustrating more or fewer components or group Close certain components or different component layouts.
It is specifically introduced below with reference to each component parts of the Fig. 4 to computer equipment:
Memory 301 can be used for storing software program and module, and processor 402 is stored in memory 301 by operation Software program and module, thereby executing various function application and data processing.Memory 301 can mainly include storage journey Sequence area and storage data area, wherein storing program area can the (ratio of application program needed for storage program area, at least one function Such as sound-playing function, image player function) etc.;It storage data area can storing data (such as audio data, phone directory etc.) Deng.In addition, memory 401 may include high-speed random access memory, it can also include nonvolatile memory, for example, at least One disk memory, flush memory device or other volatile solid-state parts.
Processor 402 is the control centre of computer equipment, by running or executing the software being stored in memory 401 Program and/or module, and the data being stored in memory 401 are called, perform various functions and handle data.Optionally, Processor 402 may include one or more processing units;Preferably, processor 402 can integrate application processor and modulation /demodulation Processor, wherein the main processing operation system of application processor, user interface and application program etc., modem processor master Handle wireless communication.
In embodiments of the present invention, processor 402 included by the computer equipment can have aforementioned first embodiment Any one of function corresponding to step.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies Within, then the present invention is also intended to include these modifications and variations.

Claims (10)

1. a kind of management method of smart machine characterized by comprising
The currently used scene information of default application program is obtained, the default application program and multiple smart machines are bound, used It is controlled in the multiple smart machine;
Based on the currently used scene information, the first behavior of the user is predicted, obtains the first prediction result, institute Stating the first behavior is the behavior that the user will operate Intelligent target equipment by the default application program, described Intelligent target equipment belongs to the multiple smart machine;
Based on first prediction result, the user interface layout of the default application program is adjusted.
2. the method as described in claim 1, which is characterized in that the currently used scene letter for obtaining default application program Breath, comprising:
When the default application program is activated, current time information is obtained;And/or
When the default application program is activated, the current location information of mobile terminal is obtained.
3. the method as described in claim 1, which is characterized in that it is described to be based on the currently used scene information, to the use First behavior at family is predicted, the first prediction result is obtained, comprising:
Obtain the historical behavior data of the user corresponding with the currently used scene information;
The historical behavior data are analyzed, obtain the user to the operation rule of the Intelligent target equipment;
Based on the operation rule, first behavior is predicted, first prediction result is obtained.
4. the method as described in claim 1, which is characterized in that it is described to be based on the currently used scene information, to the use First behavior at family is predicted, the first prediction result is obtained, comprising:
The currently used scene information is sent to server;
Receive first prediction result of the server feedback.
5. the method as described in claim 1, which is characterized in that it is described to be based on first prediction result, it adjusts described default The user interface layout of application program, comprising:
Based on first prediction result, M handle icon corresponding with first behavior, the M handle icon are determined In the user interface, for controlling the Intelligent target equipment, M is positive integer;
The M handle icon is shown into the homepage in the user interface, to facilitate the user to the M handle icon It is operated.
6. method as claimed in claim 5, which is characterized in that described to show the M operation button in user circle The homepage in face, comprising:
The M handle icon is shown in the homepage before other handle icons;Or
The M handle icon is shown into the white space in the homepage.
7. the method as described in claim 1, which is characterized in that the method also includes:
Acquire ambient condition information;
Based on the ambient condition information, judges whether first behavior exists with the ambient condition information and conflict;
Conflict if it exists, then exports prompt information relevant to the conflict.
8. a kind of managing device of smart machine characterized by comprising
Usage scenario obtains module, for obtaining the currently used scene information of default application program, the default application program It is bound with multiple smart machines, for controlling the multiple smart machine;
First behavior prediction module carries out the first behavior of the user pre- for being based on the currently used scene information It surveys, obtains the first prediction result, first behavior is that the user will be by the default application program to Intelligent target The behavior that equipment is operated, the Intelligent target equipment belong to the multiple smart machine;
Module is adjusted, for being based on first prediction result, adjusts the user interface layout of the default application program.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor The method and step as described in any in claim 1-7 is realized when row.
10. a kind of server including memory, processor and stores the computer that can be run on a memory and on a processor The step of program, the processor realizes any one of claim 1-7 the method when executing described program.
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