CN104735144A - Method for changing state of terminal based on big data and server - Google Patents
Method for changing state of terminal based on big data and server Download PDFInfo
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Abstract
The invention discloses a method for changing the state of a terminal based on big data. The method includes the following steps that operation behavior data of the terminal are collected; the operation behavior data are subjected to statistic analysis to acquire conventional operation data of the terminal; the terminal is controlled to conduct state self-adaptive adjusting and parameter setting according to the conventional operation data so as to change the state of the terminal. The invention further discloses a server. In this way, the server is used for collecting the operation behavior data of the terminal and conducting statistic analysis on the collected operation behavior data to acquire the conventional operation data of the terminal, then the terminal is controlled to conduct state self-adaptive adjusting and parameter setting according to the conventional operation data, the operation habits of a large number of users can be counted based on the big data, the terminal is intelligently controlled according to statistical results so that the using state of the terminal can be changed, hence, the phenomenon that the terminal needs to be continuously and manually set by the users according to actual demands is avoided, and user experience is improved.
Description
Technical field
The present invention relates to communication technique field, particularly relate to a kind of method and the server that change SOT state of termination based on large data.
Background technology
At present, the application based on the end side of large data is less, and great majority concentrate on the propelling movement of the identical or approximate product advertising that vestige produces of being surfed the web by user.But carry out based on large data application or the blank out that intelligence changes terminal, as: mobile phone terminal is arranged to offline mode between 7:00 12:00 at night ~ morning by user habit, WIFI/ bluetooth is closed operationally, and be accustomed to opening WIFI/ bluetooth on one's own time, but the terminals such as existing mobile phone all can not be added up the operating habit of mass users terminal, and change its using state according to statistics Based Intelligent Control user terminal, and need user that terminal is manually set every day, so not only troublesome poeration, and also reduce Consumer's Experience.
Summary of the invention
Main purpose of the present invention is to provide a kind of method and the server that change SOT state of termination based on large data, be intended to add up based on the operating habit of large data to mass users terminal, and change its using state according to statistics Based Intelligent Control user terminal, thus improve Consumer's Experience.
For achieving the above object, a kind of method changing SOT state of termination based on large data provided by the invention, the described method based on large data change SOT state of termination comprises the following steps:
The operation behavior data of acquisition terminal;
Statistical analysis is carried out to described operation behavior data, obtains the customary operation data of described terminal;
According to described customary operation Data Control, terminal carries out state self-adaption adjustment and optimum configurations, to change the state of terminal.
Preferably, describedly carry out statistical analysis to described operation behavior data, the step obtaining the customary operation data of described terminal comprises:
The described operation behavior data gathered are carried out preliminary treatment;
Store described operation behavior data after pretreatment;
Classifying Sum statistics is carried out to the described operation behavior data stored, and obtains the customary operation data of described terminal through data mining.
Preferably, the described operation behavior data gathered are carried out pretreated step to comprise further:
Data cleansing, data transaction and data integration are carried out to the described operation behavior data gathered.
Preferably, the step of the operation behavior data of described acquisition terminal comprises further:
Gather the operation behavior data of the magnanimity terminal of different regions.
Preferably, described operation behavior data comprise operational order, instruction sends the time and terminal positional information.
In addition, for achieving the above object, the present invention also proposes a kind of server, and described server comprises:
Acquisition module, for the operation behavior data of acquisition terminal;
Acquisition module, for carrying out statistical analysis to described operation behavior data, obtains the customary operation data of described terminal;
Adjusting module, carries out state self-adaption adjustment and optimum configurations, to change the state of terminal for terminal according to described customary operation Data Control.
Preferably, described acquisition module comprises:
Pretreatment unit, for carrying out preliminary treatment by the described operation behavior data gathered;
Memory cell, for storing described operation behavior data after pretreatment;
Excavating unit, for carrying out Classifying Sum statistics to the described operation behavior data stored, and obtaining the customary operation data of described terminal through data mining.
Preferably, described pretreatment unit is further used for: carry out data cleansing, data transaction and data integration to the described operation behavior data gathered.
Preferably, described acquisition module is further used for:
Gather the operation behavior data of the magnanimity terminal of different regions.
Preferably, described operation behavior data comprise operational order, instruction sends the time and terminal positional information.
Method and the server changing SOT state of termination based on large data provided by the invention, utilize the operation behavior data of collection of server terminal, and statistical analysis is carried out to the described operation behavior data gathered, obtain the customary operation data of described terminal, according to described customary operation Data Control, terminal carries out state self-adaption adjustment and optimum configurations again, thus avoid user constantly manually terminal to be set according to actual needs, improve Consumer's Experience.
Accompanying drawing explanation
Fig. 1 is the hardware configuration signal of the mobile terminal realizing each embodiment of the present invention;
Fig. 2 is the wireless communication system schematic diagram of mobile terminal as shown in Figure 1;
Fig. 3 the present invention is based on the schematic flow sheet that large data change method one embodiment of SOT state of termination;
Fig. 4 is the refinement schematic flow sheet of step S102 mono-embodiment in Fig. 3;
Fig. 5 is the high-level schematic functional block diagram of server one embodiment of the present invention;
Fig. 6 is the refinement high-level schematic functional block diagram of acquisition module one embodiment in Fig. 5.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Embodiment
Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
The terminal realizing each embodiment of the present invention is described referring now to accompanying drawing.In follow-up description, use the suffix of such as " module ", " parts " or " unit " for representing element only in order to be conducive to explanation of the present invention, itself is specific meaning not.Therefore, " module " and " parts " can mixedly use.
Terminal can be implemented in a variety of manners.Such as, the terminal described in the present invention can comprise the such as mobile terminal of mobile phone, smart phone, notebook computer, digit broadcasting receiver, PDA (personal digital assistant), PAD (panel computer), PMP (portable media player), guider etc. and the fixed terminal of such as digital TV, desktop computer etc.Below, suppose that terminal is mobile terminal.But it will be appreciated by those skilled in the art that except the element except being used in particular for mobile object, structure according to the embodiment of the present invention also can be applied to the terminal of fixed type.
Fig. 1 is the hardware configuration signal of the mobile terminal realizing each embodiment of the present invention.
Mobile terminal 100 can comprise wireless communication unit 110, A/V (audio/video) input unit 120, user input unit 130, sensing cell 140, output unit 150, memory 160, interface unit 170, controller 180 and power subsystem 190 etc.Fig. 1 shows the mobile terminal with various assembly, it should be understood that, does not require to implement all assemblies illustrated.Can alternatively implement more or less assembly.Will be discussed in more detail below the element of mobile terminal.
Wireless communication unit 110 generally includes one or more assembly, and it allows the radio communication between mobile terminal 100 and wireless communication system or network.Such as, wireless communication unit can comprise at least one in broadcast reception module 111, mobile communication module 112, wireless Internet module 113, short range communication module 114 and positional information module 115.
Broadcast reception module 111 via broadcast channel from external broadcasting management server receiving broadcast signal and/or broadcast related information.Broadcast channel can comprise satellite channel and/or terrestrial channel.Broadcast management server can be generate and send the server of broadcast singal and/or broadcast related information or the broadcast singal generated before receiving and/or broadcast related information and send it to the server of terminal.Broadcast singal can comprise TV broadcast singal, radio signals, data broadcasting signal etc.And broadcast singal may further include the broadcast singal combined with TV or radio signals.Broadcast related information also can provide via mobile communications network, and in this case, broadcast related information can be received by mobile communication module 112.Broadcast singal can exist in a variety of manners, such as, it can exist with the form of the electronic service guidebooks (ESG) of the electronic program guides of DMB (DMB) (EPG), digital video broadcast-handheld (DVB-H) etc.Broadcast reception module 111 can by using the broadcast of various types of broadcast system Received signal strength.Especially, broadcast reception module 111 can by using such as multimedia broadcasting-ground (DMB-T), DMB-satellite (DMB-S), digital video broadcasting-hand-held (DVB-H), the digit broadcasting system receiving digital broadcast of the Radio Data System, received terrestrial digital broadcasting integrated service (ISDB-T) etc. of forward link media (MediaFLO).Broadcast reception module 111 can be constructed to be applicable to providing the various broadcast system of broadcast singal and above-mentioned digit broadcasting system.The broadcast singal received via broadcast reception module 111 and/or broadcast related information can be stored in memory 160 (or storage medium of other type).
Radio signal is sent at least one in base station (such as, access point, Node B etc.), exterior terminal and server and/or receives radio signals from it by mobile communication module 112.Various types of data that such radio signal can comprise voice call signal, video calling signal or send according to text and/or Multimedia Message and/or receive.
Wireless Internet module 113 supports the Wi-Fi (Wireless Internet Access) of mobile terminal.This module can be inner or be externally couple to terminal.Wi-Fi (Wireless Internet Access) technology involved by this module can comprise WLAN (WLAN) (Wi-Fi), Wibro (WiMAX), Wimax (worldwide interoperability for microwave access), HSDPA (high-speed downlink packet access) etc.
Short range communication module 114 is the modules for supporting junction service.Some examples of short-range communication technology comprise bluetooth
tM, radio-frequency (RF) identification (RFID), Infrared Data Association (IrDA), ultra broadband (UWB), purple honeybee
tMetc..
Positional information module 115 is the modules of positional information for checking or obtain mobile terminal.The typical case of positional information module is GPS (global positioning system).According to current technology, GPS module 115 calculates from the range information of three or more satellite and correct time information and for the Information application triangulation calculated, thus calculates three-dimensional current location information according to longitude, latitude and pin-point accuracy.Current, the method for calculating location and temporal information uses three satellites and by the error of the position that uses an other satellite correction calculation to go out and temporal information.In addition, GPS module 115 can carry out computational speed information by Continuous plus current location information in real time.
A/V input unit 120 is for audio reception or vision signal.A/V input unit 120 can comprise camera 121 and microphone 1220, and the view data of camera 121 to the static images obtained by image capture apparatus in Video Capture pattern or image capture mode or video processes.Picture frame after process may be displayed on display unit 151.Picture frame after camera 121 processes can be stored in memory 160 (or other storage medium) or via wireless communication unit 110 and send, and can provide two or more cameras 1210 according to the structure of mobile terminal.Such acoustic processing can via microphones sound (voice data) in telephone calling model, logging mode, speech recognition mode etc. operational mode, and can be voice data by microphone 122.Audio frequency (voice) data after process can be converted to the formatted output that can be sent to mobile communication base station via mobile communication module 112 when telephone calling model.Microphone 122 can be implemented various types of noise and eliminate (or suppress) algorithm and receiving and sending to eliminate (or suppression) noise or interference that produce in the process of audio signal.
User input unit 130 can generate key input data to control the various operations of mobile terminal according to the order of user's input.User input unit 130 allows user to input various types of information, and keyboard, the young sheet of pot, touch pad (such as, detecting the touch-sensitive assembly of the change of the resistance, pressure, electric capacity etc. that cause owing to being touched), roller, rocking bar etc. can be comprised.Especially, when touch pad is superimposed upon on display unit 151 as a layer, touch-screen can be formed.
Sensing cell 140 detects the current state of mobile terminal 100, (such as, mobile terminal 100 open or close state), the position of mobile terminal 100, user for mobile terminal 100 contact (namely, touch input) presence or absence, the orientation of mobile terminal 100, the acceleration or deceleration of mobile terminal 100 move and direction etc., and generate order or the signal of the operation for controlling mobile terminal 100.Such as, when mobile terminal 100 is embodied as sliding-type mobile phone, sensing cell 140 can sense this sliding-type phone and open or close.In addition, whether whether sensing cell 140 can detect power subsystem 190 provides electric power or interface unit 170 to couple with external device (ED).Sensing cell 140 can comprise proximity transducer 1410 and will be described this in conjunction with touch-screen below.
Interface unit 170 is used as at least one external device (ED) and is connected the interface that can pass through with mobile terminal 100.Such as, external device (ED) can comprise wired or wireless head-band earphone port, external power source (or battery charger) port, wired or wireless FPDP, memory card port, for connecting the port, audio frequency I/O (I/O) port, video i/o port, ear port etc. of the device with identification module.Identification module can be that storage uses the various information of mobile terminal 100 for authentication of users and can comprise subscriber identification module (UIM), client identification module (SIM), Universal Subscriber identification module (USIM) etc.In addition, the device (hereinafter referred to " recognition device ") with identification module can take the form of smart card, and therefore, recognition device can be connected with mobile terminal 100 via port or other jockey.Interface unit 170 may be used for receive from external device (ED) input (such as, data message, electric power etc.) and the input received be transferred to the one or more element in mobile terminal 100 or may be used for transmitting data between mobile terminal and external device (ED).
In addition, when mobile terminal 100 is connected with external base, interface unit 170 can be used as to allow by it electric power to be provided to the path of mobile terminal 100 from base or can be used as the path that allows to be transferred to mobile terminal by it from the various command signals of base input.The various command signal inputted from base or electric power can be used as and identify whether mobile terminal is arranged on the signal base exactly.Output unit 150 is constructed to provide output signal (such as, audio signal, vision signal, alarm signal, vibration signal etc.) with vision, audio frequency and/or tactile manner.Output unit 150 can comprise display unit 151, dio Output Modules 152, alarm unit 153 etc.
Display unit 151 may be displayed on the information of process in mobile terminal 100.Such as, when mobile terminal 100 is in telephone calling model, display unit 151 can show with call or other communicate (such as, text messaging, multimedia file are downloaded etc.) be correlated with user interface (UI) or graphic user interface (GUI).When mobile terminal 100 is in video calling pattern or image capture mode, display unit 151 can the image of display capture and/or the image of reception, UI or GUI that video or image and correlation function are shown etc.
Meanwhile, when display unit 151 and touch pad as a layer superposed on one another to form touch-screen time, display unit 151 can be used as input unit and output device.Display unit 151 can comprise at least one in liquid crystal display (LCD), thin-film transistor LCD (TFT-LCD), Organic Light Emitting Diode (OLED) display, flexible display, three-dimensional (3D) display etc.Some in these displays can be constructed to transparence and watch from outside to allow user, and this can be called transparent display, and typical transparent display can be such as TOLED (transparent organic light emitting diode) display etc.According to the specific execution mode wanted, mobile terminal 100 can comprise two or more display units (or other display unit), such as, mobile terminal can comprise outernal display unit (not shown) and inner display unit (not shown).Touch-screen can be used for detecting touch input pressure and touch input position and touch and inputs area.
When dio Output Modules 152 can be under the isotypes such as call signal receiving mode, call mode, logging mode, speech recognition mode, broadcast reception mode at mobile terminal, voice data convert audio signals that is that wireless communication unit 110 is received or that store in memory 160 and exporting as sound.And dio Output Modules 152 can provide the audio frequency relevant to the specific function that mobile terminal 100 performs to export (such as, call signal receives sound, message sink sound etc.).Dio Output Modules 152 can comprise loud speaker, buzzer etc.
Alarm unit 153 can provide and export that event informed to mobile terminal 100.Typical event can comprise calling reception, message sink, key signals input, touch input etc.Except audio or video exports, alarm unit 153 can provide in a different manner and export with the generation of notification event.Such as, alarm unit 153 can provide output with the form of vibration, when receive calling, message or some other enter communication (incoming communication) time, alarm unit 153 can provide sense of touch to export (that is, vibrating) to notify to user.By providing such sense of touch to export, even if when the mobile phone of user is in the pocket of user, user also can identify the generation of various event.Alarm unit 153 also can provide the output of the generation of notification event via display unit 151 or dio Output Modules 152.
Memory 160 software program that can store process and the control operation performed by controller 180 etc., or temporarily can store oneself through exporting the data (such as, telephone directory, message, still image, video etc.) that maybe will export.And, memory 160 can store about when touch be applied to touch-screen time the vibration of various modes that exports and the data of audio signal.
Memory 160 can comprise the storage medium of at least one type, described storage medium comprises flash memory, hard disk, multimedia card, card-type memory (such as, SD or DX memory etc.), random access storage device (RAM), static random-access memory (SRAM), read-only memory (ROM), Electrically Erasable Read Only Memory (EEPROM), programmable read only memory (PROM), magnetic storage, disk, CD etc.And mobile terminal 100 can be connected the memory function of execute store 160 network storage device with by network cooperates.
Controller 180 controls the overall operation of mobile terminal usually.Such as, controller 180 performs the control relevant to voice call, data communication, video calling etc. and process.In addition, controller 180 can comprise the multi-media module 1810 for reproducing (or playback) multi-medium data, and multi-media module 1810 can be configured in controller 180, or can be configured to be separated with controller 180.Controller 180 can pattern recognition process, is identified as character or image so that input is drawn in the handwriting input performed on the touchscreen or picture.
Power subsystem 190 receives external power or internal power and provides each element of operation and the suitable electric power needed for assembly under the control of controller 180.
Various execution mode described herein can to use such as computer software, the computer-readable medium of hardware or its any combination implements.For hardware implementation, execution mode described herein can by using application-specific IC (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, being designed at least one performed in the electronic unit of function described herein and implementing, in some cases, such execution mode can be implemented in controller 180.For implement software, the execution mode of such as process or function can be implemented with allowing the independent software module performing at least one function or operation.Software code can be implemented by the software application (or program) write with any suitable programming language, and software code can be stored in memory 160 and to be performed by controller 180.
So far, oneself is through the mobile terminal according to its functional description.Below, for the sake of brevity, by the slide type mobile terminal that describes in various types of mobile terminals of such as folded form, board-type, oscillating-type, slide type mobile terminal etc. exemplarily.Therefore, the present invention can be applied to the mobile terminal of any type, and is not limited to slide type mobile terminal.
Mobile terminal 100 as shown in Figure 1 can be constructed to utilize and send the such as wired and wireless communication system of data via frame or grouping and satellite-based communication system operates.
Describe wherein according to the communication system that mobile terminal of the present invention can operate referring now to Fig. 2.
Such communication system can use different air interfaces and/or physical layer.Such as, the air interface used by communication system comprises such as frequency division multiple access (FDMA), time division multiple access (TDMA), code division multiple access (CDMA) and universal mobile telecommunications system (UMTS) (especially, Long Term Evolution (LTE)), global system for mobile communications (GSM) etc.As non-limiting example, description below relates to cdma communication system, but such instruction is equally applicable to the system of other type.
With reference to figure 2, cdma wireless communication system can comprise multiple mobile terminal 100, multiple base station (BS) 270, base station controller (BSC) 275 and mobile switching centre (MSC) 280.MSC280 is constructed to form interface with Public Switched Telephony Network (PSTN) 290.MSC280 is also constructed to form interface with the BSC275 that can be couple to base station 270 via back haul link.Back haul link can construct according to any one in some interfaces that oneself knows, described interface comprises such as E1/T1, ATM, IP, PPP, frame relay, HDSL, ADSL or xDSL.Will be appreciated that system as shown in Figure 2 can comprise multiple BSC2750.
Each BS270 can serve one or more subregion (or region), by multidirectional antenna or point to specific direction each subregion of antenna cover radially away from BS270.Or each subregion can by two or more antenna covers for diversity reception.Each BS270 can be constructed to support multiple parallel compensate, and each parallel compensate has specific frequency spectrum (such as, 1.25MHz, 5MHz etc.).
Subregion can be called as CDMA Channel with intersecting of parallel compensate.BS270 also can be called as base station transceiver subsystem (BTS) or other equivalent terms.Under these circumstances, term " base station " may be used for broadly representing single BSC275 and at least one BS270.Base station also can be called as " cellular station ".Or each subregion of particular B S270 can be called as multiple cellular station.
As shown in Figure 2, broadcast singal is sent to the mobile terminal 100 at operate within systems by broadcsting transmitter (BT) 295.Broadcast reception module 111 as shown in Figure 1 is arranged on mobile terminal 100 and sentences the broadcast singal receiving and sent by BT295.In fig. 2, several global positioning system (GPS) satellite 300 is shown.Satellite 300 helps at least one in the multiple mobile terminal 100 in location.
In fig. 2, depict multiple satellite 300, but understand, the satellite of any number can be utilized to obtain useful locating information.GPS module 115 as shown in Figure 1 is constructed to coordinate to obtain the locating information wanted with satellite 300 usually.Substitute GPS tracking technique or outside GPS tracking technique, can use can other technology of position of tracking mobile terminal.In addition, at least one gps satellite 300 optionally or extraly can process satellite dmb transmission.
As a typical operation of wireless communication system, BS270 receives the reverse link signal from various mobile terminal 100.Mobile terminal 100 participates in call usually, information receiving and transmitting communicates with other type.Each reverse link signal that certain base station 270 receives is processed by particular B S270.The data obtained are forwarded to relevant BSC275.BSC provides call Resourse Distribute and comprises the mobile management function of coordination of the soft switching process between BS270.The data received also are routed to MSC280 by BSC275, and it is provided for the extra route service forming interface with PSTN290.Similarly, PSTN290 and MSC280 forms interface, and MSC and BSC275 forms interface, and BSC275 correspondingly control BS270 so that forward link signals is sent to mobile terminal 100.
Based on above-mentioned mobile terminal hardware configuration and communication system, propose to the present invention is based on each embodiment of method that large data change SOT state of termination.
In one embodiment, as shown in Figure 3, in the present embodiment, the described method based on large data change SOT state of termination comprises the following steps:
Step S101, the operation behavior data of acquisition terminal;
In the present embodiment, the operation behavior data of collection of server terminal.Particularly, described server is cloud server, and described terminal is preferably mobile terminal.Described operation behavior data comprise operational order, instruction sends the time and terminal positional information.
Such as, mobile terminal is not opened as mobile phone is defaulted as offline mode when dispatching from the factory, after user uses a period of time, the operation behavior of its mobile phone is gathered based on large data technique, if user habit arranges offline mode between 7:00 12:00 at night ~ morning, then can collect this operation behavior data rule.
Step S102, carries out statistical analysis to described operation behavior data, obtains the customary operation data of described terminal;
In the present embodiment, server carries out statistical analysis to described operation behavior data, obtains the customary operation data of described terminal.Server can arrange the operation behavior data of airplane-mode 12:00 at night ~ morning between 7:00 to mobile terminal, its rule is found in the study carrying out certain hour.
Step S103, according to described customary operation Data Control, terminal carries out state self-adaption adjustment and optimum configurations, to change the state of terminal.
In the present embodiment, server terminal can carry out the adjustment of state according to described customary operation Data Control.As: server is after study is accustomed to arranging the rule of offline mode between 7:00 to a certain particular group 12:00 ~ morning at night, be then 12:00 ~ morning 7:00 in evening by offline mode optimum configurations, and the terminal using state of this customer group is changed to offline mode state in section at this moment by correspondence.
Such as, user terminal operationally between give tacit consent to and do not open WIFI, bluetooth etc., but select to open at special time period (as evening) or locality (as being in), existing scheme is all that user manually selects to open or close, and based on large data technique, statistical analysis can be carried out to such operation behavior data, obtain the customary operation data of described terminal, be 7:00 ~ morning 7:00 in evening as WIFI/ bluetooth opened optimum configurations, and the terminal WIFI/ bluetooth using state of this customer group is changed to unlatching in section at this moment by correspondence, automatically close in other times section.Corresponding change can be carried out to the using state of terminal like this, user be used more and more convenient.
In addition, this rule also can be fed back to manufacturer terminal by server, so that manufacturer terminal is when designing intelligent terminal, can make corresponding adjustment.Change into example with above-mentioned offline mode state, the result that manufacturer can draw according to large data, design the intelligent terminal that a kind of using state meets the behavioural habits of masses or minority more.
The method changing SOT state of termination based on large data provided by the invention, utilize the operation behavior data of collection of server terminal, and statistical analysis is carried out to the described operation behavior data gathered, obtain the customary operation data of described terminal, then terminal carries out state self-adaption adjustment and optimum configurations according to described customary operation Data Control.Can add up based on the operating habit of large data to mass users like this, and " operation behavior of autonomous learning terminal ", and change its using state according to statistics control of intelligent terminal, thus avoid user constantly manually terminal to be set according to actual needs, and thus improve Consumer's Experience.
In one embodiment, as shown in Figure 4, on the basis of the embodiment of above-mentioned Fig. 3, in the present embodiment, described step S102 comprises:
The described operation behavior data gathered are carried out preliminary treatment by step S1021;
In the present embodiment, ETL (the Extraction-Transformation-Loading of server, data are extracted, conversion and load) instrument be responsible for by distribution, the data laggard row data cleansing in interim intermediate layer, data transaction and data integration as relation data, flat data file etc. are drawn in heterogeneous data source, finally be loaded in data warehouse or Data Mart, become the basis of on-line analytical processing, data mining.
Step S1022, stores described operation behavior data after pretreatment;
In the present embodiment, the relational database of server, non-relational database, SQL database store described operation behavior data.
In the present embodiment, although the collection terminal of server itself has a lot of database, if but effectively to analyze these mass datas, can by these data importings from front end to a concentrated large-scale distributed database, or in distributed storage cluster.In this preferred embodiment, the import volume of each second reaches 100,000,000, even gigabit rank.
Step S1023, carries out Classifying Sum statistics to the described operation behavior data stored, and obtains the customary operation data of described terminal through data mining.
In the present embodiment, storage cluster carries out common analysis and Classifying Sum etc., to meet common analysis demand to the mass data stored in the inner in a distributed manner.The method of carrying out statistical analysis can be: hypothesis testing, significance test, variance analysis, correlation analysis, T checks, variance analysis, chi-square analysis, partial Correlation Analysis, distance analysis, regression analysis, simple regression analysis, multiple regression analysis, successive Regression, regression forecasting and residual analysis, ridge regression, logistic regression analysis, curve estimation, factorial analysis, cluster analysis, principal component analysis, factorial analysis, quick clustering method and clustering procedure, discriminant analysis, correspondence analysis, Multiple Correspondence Analysis (Optimal Scaling Technique), bootstrap technology etc.
The calculating based on various algorithm is mainly carried out in data mining on available data, thus plays the effect of prediction, and then realizes the demand of some high-level data analyses.More typical algorithm has the Kmeans for cluster, the SVM for statistical learning and the NaiveBayes for classifying, and the main instrument used has the Mahout etc. of Hadoop.This process is very complicated for the algorithm excavated, and calculates the data volume that relates to and amount of calculation is all very large, and frequently-used data mining algorithm is all based on single-threaded.In the embodiment of the present invention, by data mining, statistical analysis is carried out to the terminal operation behavioral data of mass users.
Such as, utilize existing data mining technology, obtaining user terminal carries out starting shooting/when and where of power-off operation or a certain feature operation of On/Off, or statistics air time or duration etc., according to different user operation habits, different state changes can be carried out by control terminal.As, can control terminal in particular moment start/shutdown, the function choosing-item of a certain Operation system setting of On/Off, or produce telephone expenses/flow etc. remind and operate, to make the use of terminal more intelligent before initiatively call.
In one embodiment, on the basis of the embodiment of above-mentioned Fig. 3, described step S101 comprises further:
Gather the operation behavior data of the magnanimity terminal of different regions.
In the present embodiment, the user of different regions and Different age group, all there is the use habit of oneself, assuming that the terminal of these users is all same terminals, but user's use habit varies, then at server after the statistics based on large data after a while, classification can be subdivided into according to different user use habit, and according to the different classes of change carrying out different using state.
Based on above-mentioned mobile terminal hardware configuration and communication system, each embodiment of server of the present invention is proposed.
In one embodiment, as shown in Figure 5, in the present embodiment, described server 1 comprises:
Acquisition module 101, for the operation behavior data of acquisition terminal;
In the present embodiment, the operation behavior data of collection of server terminal.Particularly, described server is cloud server, and described terminal is preferably mobile terminal.Described operation behavior data comprise operational order, instruction sends the time and terminal positional information.
Such as, mobile terminal is not opened as mobile phone is defaulted as offline mode when dispatching from the factory, after user uses a period of time, the operation behavior of its mobile phone is gathered based on large data technique, if user habit arranges airplane-mode between 7:00 12:00 at night ~ morning, then can collect this operation behavior data rule.
Acquisition module 102, for carrying out statistical analysis to described operation behavior data, obtains the customary operation data of described terminal;
In the present embodiment, server carries out statistical analysis to described operation behavior data, obtains the customary operation data of described terminal.Server can arrange the operation behavior data of airplane-mode 12:00 at night ~ morning between 7:00 to mobile terminal, its rule is found in the study carrying out certain hour.
Adjusting module 103, carries out state self-adaption adjustment and optimum configurations, to change the state of terminal for terminal according to described customary operation Data Control.
In the present embodiment, server terminal can carry out the adjustment of state according to described customary operation Data Control.As: server is after study is accustomed to arranging the rule of offline mode between 7:00 to a certain particular group 12:00 ~ morning at night, be then 12:00 ~ morning 7:00 in evening by offline mode optimum configurations, and the terminal using state of this customer group is changed to offline mode state in section at this moment by correspondence.
Such as, user terminal operationally between give tacit consent to and do not open WIFI, bluetooth etc., but select to open at special time period (as evening) or locality (as being in), existing scheme is all that user manually selects to open or close, and based on large data technique, statistical analysis can be carried out to such operation behavior data, obtain the customary operation data of described terminal, be 7:00 ~ morning 7:00 in evening as WIFI/ bluetooth opened optimum configurations, and the terminal WIFI/ bluetooth using state of this customer group is changed to unlatching in section at this moment by correspondence, automatically close in other times section.Corresponding change can be carried out to the using state of terminal like this, user be used more and more convenient.
In addition, this rule also can be fed back to manufacturer terminal by server, so that manufacturer terminal is when designing intelligent terminal, can make corresponding adjustment.Change into example with above-mentioned offline mode state, the result that manufacturer can draw according to large data, design the intelligent terminal that a kind of using state meets the behavioural habits of masses or minority more.
Server provided by the invention, by the operation behavior data of acquisition terminal, and statistical analysis is carried out to the described operation behavior data gathered, obtain the customary operation data of described terminal, according to described customary operation Data Control, terminal carries out state self-adaption adjustment and optimum configurations again, can add up based on the operating habit of large data to mass users terminal like this, and " operation behavior of autonomous learning terminal ", and change its using state according to statistics control of intelligent terminal, thus avoid user constantly manually terminal to be set according to actual needs, and improve Consumer's Experience.
In one embodiment, as shown in Figure 6, on the basis of the embodiment of above-mentioned Fig. 5, in the present embodiment, described acquisition module 102 comprises:
Pretreatment unit 1021, for carrying out preliminary treatment by the described operation behavior data gathered;
In the present embodiment, ETL (the Extraction-Transformation-Loading of server, data are extracted, conversion and load) instrument be responsible for by distribution, the data laggard row data cleansing in interim intermediate layer, data transaction and data integration as relation data, flat data file etc. are drawn in heterogeneous data source, finally be loaded in data warehouse or Data Mart, become the basis of on-line analytical processing, data mining.
Memory cell 1022, for storing described operation behavior data after pretreatment;
In the present embodiment, the relational database of server, non-relational database, SQL database store described operation behavior data.
In the present embodiment, although the collection terminal of server itself has a lot of database, if but effectively to analyze these mass datas, can by these data importings from front end to a concentrated large-scale distributed database, or in distributed storage cluster.In this preferred embodiment, the import volume of each second reaches 100,000,000, even gigabit rank.
Excavating unit 1023, for carrying out Classifying Sum statistics to the described operation behavior data stored, and obtaining the customary operation data of described terminal through data mining.
In the present embodiment, storage cluster carries out common analysis and Classifying Sum etc., to meet common analysis demand to the mass data stored in the inner in a distributed manner.The method of carrying out statistical analysis can be: hypothesis testing, significance test, variance analysis, correlation analysis, T checks, variance analysis, chi-square analysis, partial Correlation Analysis, distance analysis, regression analysis, simple regression analysis, multiple regression analysis, successive Regression, regression forecasting and residual analysis, ridge regression, logistic regression analysis, curve estimation, factorial analysis, cluster analysis, principal component analysis, factorial analysis, quick clustering method and clustering procedure, discriminant analysis, correspondence analysis, Multiple Correspondence Analysis (Optimal Scaling Technique), bootstrap technology etc.
The calculating based on various algorithm is mainly carried out in data mining on available data, thus plays the effect of prediction, and then realizes the demand of some high-level data analyses.More typical algorithm has the Kmeans for cluster, the SVM for statistical learning and the NaiveBayes for classifying, and the main instrument used has the Mahout etc. of Hadoop.This process is very complicated for the algorithm excavated, and calculates the data volume that relates to and amount of calculation is all very large, and frequently-used data mining algorithm is all based on single-threaded.In the embodiment of the present invention, by data mining, statistical analysis is carried out to the terminal operation behavioral data of mass users.
Such as, utilize existing data mining technology, obtaining user terminal carries out starting shooting/when and where of power-off operation or a certain feature operation of On/Off, or statistics air time or duration etc., according to different user operation habits, different state changes can be carried out by control terminal.As, can control terminal in particular moment start/shutdown, the function choosing-item of a certain Operation system setting of On/Off, or produce telephone expenses/flow etc. remind and operate, to make the use of terminal more intelligent before initiatively call.
In one embodiment, on the basis of the embodiment of above-mentioned Fig. 5, described acquisition module 101 is further used for:
Gather the operation behavior data of the magnanimity terminal of different regions.
In the present embodiment, the user of different regions and Different age group, all there is the use habit of oneself, assuming that the terminal of these users is all same terminals, but user's use habit varies, then at server after the statistics based on large data after a while, classification can be subdivided into according to different user use habit, and according to the different classes of change carrying out different using state.
It should be noted that, in this article, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or device and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or device.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the device comprising this key element and also there is other identical element.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be well understood to the mode that above-described embodiment method can add required general hardware platform by software and realize, hardware can certainly be passed through, but in a lot of situation, the former is better execution mode.Based on such understanding, technical scheme of the present invention can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product is stored in a storage medium (as ROM/RAM, magnetic disc, CD), comprising some instructions in order to make a station terminal equipment (can be mobile phone, computer, server, air conditioner, or the network equipment etc.) perform method described in each embodiment of the present invention.
These are only the preferred embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every utilize specification of the present invention and accompanying drawing content to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (10)
1. change a method for SOT state of termination based on large data, it is characterized in that, the described method based on large data change SOT state of termination comprises the following steps:
The operation behavior data of acquisition terminal;
Statistical analysis is carried out to described operation behavior data, obtains the customary operation data of described terminal;
According to described customary operation Data Control, terminal carries out state self-adaption adjustment and optimum configurations, to change the state of terminal.
2. change as claimed in claim 1 the method for SOT state of termination based on large data, it is characterized in that, describedly carry out statistical analysis to described operation behavior data, the step obtaining the customary operation data of described terminal comprises:
The described operation behavior data gathered are carried out preliminary treatment;
Store described operation behavior data after pretreatment;
Classifying Sum statistics is carried out to the described operation behavior data stored, and obtains the customary operation data of described terminal through data mining.
3. change the method for SOT state of termination as claimed in claim 2 based on large data, it is characterized in that, the described operation behavior data gathered are carried out pretreated step and comprises further:
Data cleansing, data transaction and data integration are carried out to the described operation behavior data gathered.
4. change the method for SOT state of termination as claimed in claim 1 based on large data, it is characterized in that, the step of the operation behavior data of described acquisition terminal comprises further:
Gather the operation behavior data of the magnanimity terminal of different regions.
5. the method changing SOT state of termination based on large data according to any one of claim 1 or 4, it is characterized in that, described operation behavior data comprise operational order, instruction sends the time and terminal positional information.
6. a server, is characterized in that, described server comprises:
Acquisition module, for the operation behavior data of acquisition terminal;
Acquisition module, for carrying out statistical analysis to described operation behavior data, obtains the customary operation data of described terminal;
Adjusting module, carries out state self-adaption adjustment and optimum configurations, to change the state of terminal for terminal according to described customary operation Data Control.
7. server as claimed in claim 6, it is characterized in that, described acquisition module comprises:
Pretreatment unit, for carrying out preliminary treatment by the described operation behavior data gathered;
Memory cell, for storing described operation behavior data after pretreatment;
Excavating unit, for carrying out Classifying Sum statistics to the described operation behavior data stored, and obtaining the customary operation data of described terminal through data mining.
8. server as claimed in claim 7, it is characterized in that, described pretreatment unit is further used for: carry out data cleansing, data transaction and data integration to the described operation behavior data gathered.
9. server as claimed in claim 6, it is characterized in that, described acquisition module is further used for:
Gather the operation behavior data of the magnanimity terminal of different regions.
10. the server according to any one of claim 6 or 9, is characterized in that, described operation behavior data comprise operational order, instruction sends the time and terminal positional information.
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