CN110475014A - The recognition methods of user's scene and terminal device - Google Patents

The recognition methods of user's scene and terminal device Download PDF

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Publication number
CN110475014A
CN110475014A CN201810449295.9A CN201810449295A CN110475014A CN 110475014 A CN110475014 A CN 110475014A CN 201810449295 A CN201810449295 A CN 201810449295A CN 110475014 A CN110475014 A CN 110475014A
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CN
China
Prior art keywords
information
scene
communication
user
terminal device
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CN201810449295.9A
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Chinese (zh)
Inventor
周礼颖
董杰
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Beijing Samsung Telecom R&D Center
Beijing Samsung Telecommunications Technology Research Co Ltd
Samsung Electronics Co Ltd
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Beijing Samsung Telecommunications Technology Research Co Ltd
Samsung Electronics Co Ltd
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Priority to CN201810449295.9A priority Critical patent/CN110475014A/en
Publication of CN110475014A publication Critical patent/CN110475014A/en
Pending legal-status Critical Current

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/52Network services specially adapted for the location of the user terminal
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/535Tracking the activity of the user
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72457User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to geographic location

Abstract

The present invention provides recognition methods and the terminal device of a kind of user's scene, is related to field of communication technology, this method comprises: determining the corresponding scene information of active user according to the communication information of the terminal device got;Based on the scene information determined, corresponding service processing is executed.Present invention utilizes the abundant informations that communication data of terminal equipment side itself includes, and from dynamic angle, excavate changing rule relevant with user's scene, according to the communication information of the terminal device got, the corresponding scene information of active user is determined, based on the scene information determined, execute corresponding service processing, this scheme can distinguish similar geographical location, but the user of different scenes, be of great significance to the intelligent level and individualized experience that promote service.

Description

The recognition methods of user's scene and terminal device
Technical field
The present invention relates to fields of communication technology, specifically, the present invention relates to a kind of recognition methods of user's scene and ends End equipment.
Background technique
For the needs of survival and development, people constantly carry out a series of different scales, different types of activity.Now The scope of activities of society, people is increasing, and activity venue is also more and more changeable.Since the real-time requirement of a people is lived with it What dynamic scene was closely related, this variability brings infinite commercial opportunities to the development of mobile location service.With terminal device Intelligent and hommization development trend can be provided endless convenient service for user by mobile location service, be had wide Wealthy application prospect.
In the prior art, the geographical location of user is usually directly or indirectly identified based on location technologies such as GPS, Further scene is speculated according to geographical location matches.However in reality, the scene of user is not equivalent to the geographical position of user It sets, the different user for being in same geographic location may have different needs, and the scheme for being based only upon geographical location can not be correct This is distinguished or cost is too big so that practical infeasible.
Summary of the invention
To overcome above-mentioned technical problem or at least being partially solved above-mentioned technical problem, spy proposes following technical scheme:
The present invention provides a kind of recognition methods of user's scene, comprising:
According to the communication information of the terminal device got, the corresponding scene information of active user is determined;
Based on the scene information determined, corresponding service processing is executed.
The present invention also provides a kind of terminal devices, comprising:
Identification module determines the corresponding scene letter of active user for the communication information according to the terminal device got Breath;
Service module, for executing corresponding service processing based on the scene information determined.
The present invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, which is located Reason device realizes the above method when executing.
The present invention also provides a kind of terminal devices, comprising:
Processor;And memory, storage machine readable instructions are configured to, described instruction is executed by the processor When, so that the processor executes the above method.
The communication data sheet of terminal equipment side is utilized in the recognition methods of user's scene provided by the invention and terminal device The abundant information that body includes, and from dynamic angle, changing rule relevant with user's scene is excavated, according to the terminal got The communication information of equipment determines the corresponding scene information of active user, based on the scene information determined, executes corresponding service Processing this scheme of can distinguish similar geographical location, but the user of different scenes, to the intelligent level and individual character for promoting service Change experience to be of great significance.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments Obviously and it is readily appreciated that, in which:
Fig. 1 is the flow diagram of the recognition methods of user's scene provided in an embodiment of the present invention;
Fig. 2 is the exemplary diagram of personalized service provided in an embodiment of the present invention;
Fig. 3 is the exemplary diagram of knowledge mapping provided in an embodiment of the present invention;
Fig. 4 is the signal intensity exemplary diagram one provided in an embodiment of the present invention measured;
Fig. 5 is the signal intensity exemplary diagram two provided in an embodiment of the present invention measured
Fig. 6 is the signal intensity exemplary diagram three provided in an embodiment of the present invention measured;
Fig. 7 is the signal intensity exemplary diagram four provided in an embodiment of the present invention measured;
Fig. 8 is the exemplary diagram of scene signals match pattern provided in an embodiment of the present invention;
Fig. 9 is the exemplary diagram of single user Business Stream situation provided in an embodiment of the present invention;
Figure 10 is the exemplary diagram of network service flow situation provided in an embodiment of the present invention;
Figure 11 is the structural schematic diagram that communication pattern provided in an embodiment of the present invention identifies engine;
Figure 12 is the schematic diagram of application scenarios one provided in an embodiment of the present invention;
Figure 13 is the structural schematic diagram of terminal device provided in an embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached The embodiment of figure description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition Other one or more features, integer, step, operation, element, component and/or their group.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art The consistent meaning of meaning, and unless idealization or meaning too formal otherwise will not be used by specific definitions as here To explain.
In view of being in the people in similar geographical location, but scene and intention are different.As exemplary, below 4 be located at it is same People in one building, wherein
Think that edge point meal is walked on side once subway station C mouthfuls out when Mr. A goes to work, such one to building dining room can pull up a horse It takes away, without being lined up;
B schoolgirl aside go to work by office building, and noon looks for dining room in the building, or when usually sauntering, it is not known which has It is preferential;
Mr. C seldom comes near this, because being unfamiliar with, when vehicle is looked in the underground parking in building, need to leaf through shifting Record in dynamic equipment;
Mr. D is to the company from building to when smoking downstairs, wanting have a prompting to take express delivery in passing, thus so as not to returning Get off again after company one time.
These four types of people, due to being in similar geographical location, being inside the map that mapping service provider provides can not Distinguish or cost is too big so that practical infeasible.Due to a Man's Demands be in fact with scene strong correlation, to mention The intelligent level of height service is it is necessary to more accurately scene Recognition, and the real-time scene of user is not equivalent to user in reality Geographical location.
Based on this, the technical solution of the embodiment of the present invention is specifically introduced with reference to the accompanying drawing.
Embodiment one
The embodiment of the invention provides a kind of recognition methods of user's scene, as shown in Figure 1, including the following steps:
Step 110: according to the communication information of the terminal device got, determining the corresponding scene information of active user;
Specifically, terminal device can be believed by monitoring, measurement or the communication for obtaining terminal device with network interaction Breath.Optionally, the communication information needed for therefrom extracting the embodiment of the present invention is locally stored in terminal device.Art technology Personnel can according to the actual situation be configured the storage period, and the present invention is herein with no restrictions.
In the embodiment of the present invention, the communication information of terminal device includes but is not limited at least one of following:
Network system information: such as PCI (Physical Cell Identifier, Physical Cell Identifier), Scell PCI (secondary cell Physical Cell Identifier), Cell-ID (cell ID), TAC (Tracking Area Code, tracking area coding), The network identification informations such as PLMN (Public Land Mobile Network, public land mobile network), RAT (Radio Access Type, wireless access type), EMM state (EPS Mobility Management state, evolution grouping system Unite mobile management state), the network connection states information such as RRC state (RRC status).
Network configuration information: such as Band/EARFCN (frequency band/frequency point number), (fast state refers to HighSpeedFlag Show), CP Config (cyclic prefix Config, cyclic prefix configuration), DL/UL config (uplink/downlink chain Road configuration) (TDD, Time Division Duplexing, time division duplex), Special SF config (Special Spreading Factor config, the configuration of the special spread spectrum factor) (TDD), Bandwidth (bandwidth), Scell state be (auxiliary Cell status) etc. community configured informations;Neigh.cell quantity (adjacent cell measurement amount), EARFCN (adjacent cell frequency point Number), Neighbor PCI (adjacent cell Physical Cell Identifier), the neighbours such as Reselection Priority (cell reselection priority) Area's configuration information.
Signal measurement information: RSRP (the Reference Signal Receiving of such as serving cell and adjacent cell Power, Reference Signal Received Power), RSRQ (Reference Signal Receiving Quality, reference signal receive Quality), SINR (Signal to Interference plus Noise Ratio, Signal to Interference plus Noise Ratio), Doppler frequency (Doppler frequency), timing advance (timing advance) etc..
Communication service information: network flow consumed by uplink and downlink rate, each APP, phone direction (incoming/outgoing), The frequency, time etc. occur for ring duration, the duration of call, on-hook direction, short message direction (sending/reception), business.
For the embodiment of the present invention, scene is in regular hour, space or environment in conjunction with the particular task of people, row , movement, state or character relation constituted.It is appreciated that scene is based on geographical location, it is also possible to geography Position is unrelated.Since the strong correlation relationship of Man's Demands and scene can to the identification of scene compared to the detection in geographical location Further increase the intelligence degree of service.
Specifically, determining scene information in the embodiment of the present invention, include at least one of the following:
(1) current scene is identified, as illustratively, certain user comes underground parking pick-up, if can recognize that current be somebody's turn to do Scene can prompt user's parking space information in time, promote user experience.
(2) predetermined scene is predicted, as illustratively, certain user is near completion one and works, and will then call a taxi and leave, if energy Predicting subsequent predetermined scene is scene of calling a taxi, and can start about range of driving sequence in time and user is reminded to reserve, promote user's body It tests.
(3) time of origin of predetermined scene is predicted, as illustratively, certain user is near completion one and works, and then will beat Vehicle leaves, it is desirable to which when oneself reaches stipulated place, net about vehicle just reaches simultaneously, if can predict in subsequent predetermined scene of calling a taxi User reaches the time of stipulated place, with real-time informing net Yue Che driver or can implement the neighbouring net about vehicle of allotment, to realize use Family and net about vehicle reach stipulated place simultaneously, promote user experience.
In this step, specifically can according to the communication information of the terminal device got, based on network aware identification method, At least one of in Move Mode identification method and business model identification method, determine the corresponding scene information of active user.
Wherein, the specific place based on network aware identification method, Move Mode identification method and business model identification method Reason method will be discussed in detail in embodiments below.
Step 120: based on the scene information determined, executing corresponding service processing.
Optionally, as shown in Fig. 2, based on the scene information determined, and user behavior characteristics information and/or user are combined Portrait, executes corresponding service processing.
It, can historical operation behavior according to user to the application program installed on terminal device in a kind of feasible mode Generate the behavior characteristic information of user.For example, user passes through instant messaging application program daily and household converses;User's warp The relevant information of some theme is often browsed by browser application;User is often made a reservation by application program of making a reservation at noon Deng.In practical application, terminal device can locally generate behavior characteristic information according to the historical operation behavior of user, can also be by The server of application program generates, and obtains for terminal device.
It, can be with the preset behavior characteristic information of prestored user and/or user on terminal device in another feasible mode Portrait.For example, the information such as the associated gender of user account, age, the alarm clock information etc. of user setting.
Specifically, based on the scene information determined, and user behavior characteristics information and/or user is combined to draw a portrait, it holds The corresponding service processing of row, comprises at least one of the following situation:
(1) scene information is sent to corresponding server by scheduled application programming interfaces, and receives corresponding clothes The information on services corresponding with scene information for device feedback of being engaged in;
In a kind of feasible mode, as shown in the above, the behavior characteristic information of user can be by the clothes of application program Business device generates, and scene information is sent to corresponding apps server by scheduled application programming interfaces, by applying journey Sequence server combines the user behavior characteristics information generated, determines the corresponding information on services of scene information, and feed back to terminal and set It is standby.Terminal device receives the information on services of apps server feedback, and executes corresponding service processing.
In another feasible mode, particular server is desirable to provide special services, so that it may pass through scene information pre- Fixed application programming interfaces are sent to the particular server, determine the corresponding information on services of scene information simultaneously by the particular server Feed back to terminal device.Terminal device receives the information on services of apps server feedback, and executes corresponding service processing. Optionally, scene information and user behavior characteristics information and/or user's portrait are sent by scheduled application programming interfaces To the particular server, the corresponding information on services of scene information is determined by the particular server and feeds back to terminal device.Terminal Equipment receives the information on services of apps server feedback, and executes corresponding service processing.
(2) it based on the scene information determined, determines and executes corresponding terminal control instruction.
Terminal device is directly determined based on the scene information determined and is executed corresponding terminal control instruction.Optionally, Terminal device based on the scene information determined, in conjunction with the user behavior characteristics information obtained by above either type and/ Or user's portrait, it determines and executes corresponding terminal control instruction.
Specifically, user behavior characteristics information is locally generated according to the historical operation behavior of user for terminal device, eventually End equipment is determined in conjunction with the user behavior characteristics information locally generated based on the scene information determined and executes corresponding end Hold control instruction.As exemplary, user is often in subway e-book, so that it may in this scenario reading class application journey Sequence is placed in quick start/recommendation the application list.
Specifically, user behavior characteristics information is generated by the server of application program, is obtained for terminal device, terminal Equipment is determined simultaneously based on the scene information determined in conjunction with the user behavior characteristics information obtained from the server of application program Execute corresponding terminal control instruction.As illustratively, user by the subway when frequently by browser application browse some The relevant information of theme, so that it may push the relevant information of the theme in this scenario.
Specifically, for that can be drawn a portrait on terminal device with the preset behavior characteristic information of prestored user and/or user, terminal Equipment is drawn a portrait based on the scene information determined in conjunction with the user behavior characteristics information locally obtained and/or user, is determined and is held The corresponding terminal control instruction of row.As illustratively, user's memorandum " working is registered " on the terminal device, so that it may in user It is reminded when will reach company.
In the embodiment of the present invention, corresponding service processing includes but is not limited to: pushing application program shortcut, push are wide Accuse, remind service, change mobile phone configuration, monitoring service time etc..
The recognition methods of user's scene provided in an embodiment of the present invention, is utilized communication data of terminal equipment side itself and wraps The abundant information contained, and from dynamic angle, changing rule relevant with user's scene is excavated, according to the terminal device got The communication information, determine the corresponding scene information of active user, based on the scene information determined, execute corresponding service center Reason, this scheme can distinguish similar geographical location, but the user of different scenes, to the intelligent level and personalization for promoting service Experience is of great significance.
In addition, in the prior art to the detection in geographical location compared with, the embodiment of the present invention is without sharing position information etc. Privacy information has in terms of safety and ensures.
Embodiment two
The alternatively possible implementation of the present invention further includes on the basis of example 1 behaviour shown in embodiment two Make, wherein
In step 110, the communication information can be screened based on network aware identification method.
It was found by the inventors of the present invention that numerous parameters of mobile communication system and its otherness of configuration are to imply scene Information.For example, the electric wave propagation characteristic of different frequency range is different, so indoor hot spot and outdoor wide area covering are selected Carrier frequency is also different.In order to guarantee network capacity and user rate, hot zones would generally pass through CA (Carrier Aggregation, carrier wave polymerization) technology polymerize more bandwidth.And the difference of priority level also embodies not between cell The same network coverage has different processing for different physical spaces.
In the embodiment of the present invention, preliminary treatment is done based on the communication information of the network aware identification method to terminal device, one On the other hand the static valuable information of aspect output screens effective information for the corresponding scene information of determining active user As input.
Specifically, as shown in figure 3, communication data information is carried out Screening Treatment, knowledge by preset knowledge mapping Map includes the corresponding relationship of the communication information and scene.
Using under different scenes, the deployment of communication network has different this features of requirement or emphasis to construct field Scape establishes knowledge mapping to the mapping of messaging parameter.Those skilled in the art can rely on experience accumulation to improve knowledge mapping, The embodiment of the present invention is without limitation.
Optionally, according to the communication information after Screening Treatment, determine that active user is corresponding by way of following at least one Scene information:
According to the communication information after Screening Treatment, the corresponding scene information of active user is directly determined;Specific processing method It will be discussed in detail in subsequent embodiment three.
According to the communication information after Screening Treatment, it is based on Move Mode identification method and/or business model identification method, really Determine the corresponding scene information of active user, the specific processing method based on Move Mode identification method will be in subsequent embodiment four It is discussed in detail, the specific processing method based on business model identification method will be discussed in detail in subsequent embodiment five.
In the embodiment of the present invention, the communication information is screened, can be improved follow-up data crawl and processing efficiency and Accuracy rate increases the precision of scene Recognition.
Embodiment three
The embodiment of the present invention is to the tool for directly determining the corresponding scene information of active user based on network aware identification method Body processing method is introduced.
Specifically, based on the specific identity and/or predetermined value extracted from the communication information after Screening Treatment Parameter, determine corresponding with specific identity scene information.
As illustratively, such as in China, LTE (Long Term Evolution, long term evolution) system message, Highspeedflag mark corresponds to high-speed rail private network.If extracted in the communication information mark value (false or True), along with mobility differentiation is handled, it is easy to can identify user currently whether in sitting height iron.
Similarly, the parameter of similar specific identity and/or predetermined value can rule-based and simple judgement it is direct It is utilized, quickly determines scene information corresponding with the parameter of the specific identity and/or predetermined value, greatly promote scene Recognition efficiency.
Example IV
The embodiment of the present invention is to the specific place for determining the corresponding scene information of active user based on Move Mode identification method Reason method is introduced.
Specifically, being by the relevant communication data of wireless signal variation rule come really based on Move Mode identification method Determine the corresponding scene information of active user.
As illustratively, Fig. 4 be during going to outdoor from office building mobile phone for measuring to serving cell signal intensity, Fig. 5 be from office building go to outdoor during mobile phone for measuring to adjacent cell signal intensity, wherein horizontal axis indicate the time, and scheme 4 correspond with the horizontal axis of Fig. 5, the longitudinal axis indicates signal strength, different mark such as *, x representative be different time sections Corresponding different community.The present inventor observes, in figure front half section due to building shielding, in addition to serving cell Signal, almost without the signal for measuring other adjacent cells.Once having gone out office building, or ground is gone to from subway subway concourse, it is adjacent The signal of cell just suddenly becomes more, and neighboring area signal intensity distribution is very spuious.
The signal intensity for the serving cell that Fig. 6 arrives for mobile phone for measuring during subway circulation, Fig. 7 is during subway circulation The signal intensity for the adjacent cell that mobile phone for measuring arrives, wherein horizontal axis indicates the time, and the horizontal axis of Fig. 6 and Fig. 7 corresponds, longitudinal axis table Show signal strength, different mark such as *, x representative be the corresponding different community of different time sections.Invention of the invention People observes, cell signal is in the relay state for the shape of falling V in figure, and overall signal environment is also fairly simple, and either serving cell is also It is adjacent area, changing rule degree of fitting is very high.And in the gap of subway bus stop, signal will appear the stable shape of a bit of comparison State, this when may also can with adjacent area a small amount of increase.
As it can be seen that can determine active user using the relevant communication data of wireless signal variation rule based on certain rule Corresponding scene information.I.e. in the embodiment of the present invention, according to communication number relevant to wireless signal variation rule in the communication information According to determining the corresponding scene information of active user by the scene signals match pattern of prebuild.Wherein, scene signals match It is that mode can be terminal device local prebuild or receive and send after server prebuild.
Specifically, by taking subway driving scene as an example, as shown in Figure 8, wherein Th indicates the threshold of preset adjacent area quantity Value;σ indicates the mean square deviation (i.e. the dispersion degree of gauge signal intensity distribution) of signal strength between each cell;T1, T2 are indicated The threshold value of preset σ;F0, f1, f2 indicate the relevant threshold value of preset switching frequency, specifically, f0 < f1 < f2.
As seen from the figure, subway traveling field can be determined for compliance with when judging that wireless signal variation rule includes the following conditions Scape:
(1) adjacent area quantity is less than some threshold value;
(2) switching frequency is between some range;
(3) whether main plot signal strength has the feature of inverted v-shaped relay;
(4) whether the change in signal strength of main plot and adjacent cell has high degree of fitting (signal strength of i.e. each cell is discrete Degree is low).
Similarly, can recognition rule be arranged according to actual needs in those skilled in the art.
Optionally, the scene that some features can not be completely defined with rule, such as expressway, city loop wire, ground Track etc., then can be by accumulating data, later-stage utilization RNN (Recognition with Recurrent Neural Network) or CNN (convolutional Neural net in this stage Network) even depth learning network carries out deep learning, construct corresponding model.I.e. in the embodiment of the present invention, according to the communication information In to wireless signal variation rule relevant communication data active user is determined by the first deep learning network of pre-training Corresponding scene information.Wherein, the first deep learning network can be terminal device local pre-training or receive clothes It is sent after business device pre-training.
Optionally, in the embodiment of the present invention, scene can also be sent to server and determines request, includes communication letter in request Communication data relevant to wireless signal variation rule in breath, and server is received in response to the scene information of request feedback.
Server will be sent to the relevant communication data of wireless signal variation rule in the communication information, by server according to Big data basis directly judges scene that terminal device need to only receive the judgement result of server.
Embodiment five
The embodiment of the present invention is to the specific place for determining the corresponding scene information of active user based on business model identification method Reason method is introduced.
Specifically, based on Move Mode identification method be by communication data relevant to Business Stream in the communication information come Determine the corresponding scene information of active user.
As shown in figure 9, it was found by the inventors of the present invention that different business models, such as common chat, browsing news, see Short-sighted frequency, upload self-timer etc., corresponding uplink and downlink flow map has larger difference.If visual angle is transferred to network from single user Corresponding group, as shown in fig. 9, for example, typical business district and residential neighborhoods are in intraday Business Stream variation tendency and height Peak time is different, this is because the stream of people under different scenes migrates brought business tidal effect.
Further, if being analyzed in conjunction with the relevant communication data of wireless signal variation rule in above-described embodiment four, It can be found that the feature of cinema is with regard to more obvious: user almost walk by the same time next same time, generally to 2 hours left sides The portfolio on the right side, signal stabilization, uplink is few, and workaday night and weekend stream of people's temperature are higher.
In this way, without the geographical location for obtaining cinema, it will be able to obtain the information of cinema's scene according to the communication information Or one people of people is in the information of cinema's scene.
Specifically, can pass through according to communication data relevant to Business Stream in the communication information in the embodiment of the present invention The scene service stream match pattern of prebuild, determines the corresponding scene information of active user.Wherein, scene service stream match pattern It can be terminal device local prebuild or receives and sends after server prebuild.
In the embodiment of the present invention, pre-training can also be passed through according to communication data relevant to Business Stream in the communication information The second deep learning network, determine the corresponding scene information of active user.Wherein, the second deep learning network can be terminal What either the receiving of equipment local pre-training sent after server pre-training.
Optionally, in the embodiment of the present invention, scene can also be sent to server and determines request, includes communication letter in request Communication data relevant to Business Stream in breath, and server is received in response to the scene information of request feedback.
The communication information of the rule-based screening of terminal device is first passed through in advance, can provide what characterizing population group detected to server Basic data is identified and is divided to the group behavior under the typical scenes such as cinema, concert, and passes through simple pattra leaves The modes such as this classification calculate probability, construct relevant scene library.
During subsequent scene Recognition, communication data relevant to Business Stream in the communication information is sent to service Device is directly judged scene that terminal device need to only receive the judgement result of server by server according to scene library.
Optionally, in the embodiment of the present invention, the preliminary analysis of Business Stream can also be carried out on the terminal device, for example, by using Clustering algorithm;In combination with the daily periodic behavior of user, analyzes, establishes Markov model (Markov model: state Between transfer depend on preceding n state) progress probability supposition.Such as periodically there is " family-subway-public affairs on weekdays in user The daily periodic behavior of (non-corporate office building, concentrate on 12 points or so)-outdoor-company in department-outdoor room-X ", that can With maximum probability deduce selected in the room X be user's lunch scene.
Embodiment six
The alternatively possible implementation of the present invention, in embodiment one, embodiment two, embodiment three, example IV, implementation It further include operation shown in embodiment six on the basis of example five, wherein the identification side of user's scene provided in an embodiment of the present invention Method further include: when determining scene information according to the communication information, establish the matching relationship between scene information and the communication information;Root According to matching relationship, personal communication pattern database is established.
Wherein, personal communication pattern database can be locally created in terminal device or establish in background server.
Specifically, the data segment of finite length is split into continuously communication data first.Reality can be passed through The network aware identification method applied in example two analyzes the feature difference degree of communication data, when diversity factor is more than a certain threshold value When, carry out data sectional processing.
Then, by machine learning algorithms such as neural networks, the feature in above-mentioned data segment is extracted, by high-dimensional number According to the feature vector for being compressed to finite dimensional.
For example, by directly determining the corresponding scene letter of active user based on network aware identification method in embodiment three The mode of breath extracts the specific identity in the communication information;
For another example, by determining the corresponding scene information of active user based on Move Mode identification method in example IV Mode extracts the changing pattern and serving cell signal and the distribution pattern of adjacent cell signal etc. of signal strength time series.
For another example, by determining the corresponding scene information of active user based on business model identification method in embodiment five Mode extracts uplink and downlink changes in flow rate trend etc..
Wherein, above-mentioned three kinds of extracting modes can be used alone, and can also carry out jointly in conjunction with both any or three The extraction of feature.
Then, the feature vector of extraction is based on similitude by machine learning algorithms such as clusters and carries out sub-clustering, each cluster That is a scene characterizes the matching relationship of scene information and the communication information.Personal communication can be combined by these scene clusters Pattern database.
In the embodiment of the present invention, each scene cluster can be identified with unique id.Creating, repairing for scene is managed by id Change, decompose, merge, delete.For example, can only identify level-one scene at the beginning: indoor (id_1), with the accumulation of user data It is refined with feature, second level sub-scene: family (id_11), office (id_12), market (id_13), meal can be further broken into Room (id_14) etc..Need to manage the corresponding relationship of itself and id_1 while newly-increased id_11, id_12, id_13 sub-scene.Its In, the matching relationship of scenes and the communication information at different levels can also be managed by id.
Optionally, wish with reference to specific application to special services provided by specific user, Lai Jianli personal communication mode Database.As illustratively, when some behavior of specific application to user is interested, an inquiry current scene can be issued Request.It can be able to be the specific application if the specific application is repeatedly inquired to specific application feedback current scene id Current scene id is registered as interested scene, when user enters the scene, the specific application is actively given to remind.
In the embodiment of the present invention, in the case where personal communication pattern database has had been established, in step 110, Ke Yizhi It connects and active user is determined by established personal communication pattern database according to the communication information of the terminal device got Corresponding scene information is no longer needed to by a network aware identification method, Move Mode identification method and business model identification side The processes such as formula improve the efficiency of scene Recognition.
Embodiment seven
The alternatively possible implementation of the present invention, in embodiment one, embodiment two, embodiment three, example IV, implementation On the basis of example five, embodiment six, step 110 is the CPR Engine (Communication provided through the embodiment of the present invention Pattern Recognition Engine, communication pattern identify engine) it is performed, wherein as shown in figure 11, CPR Engine includes:
(1) network aware module (Network Cognition Engine), for executing above-mentioned network aware identification side Formula.
(2) Move Mode identification module (Mobility Pattern Engine), for executing above-mentioned Move Mode identification Mode.
(3) business model identification module (Traffic Pattern Engine), for executing above-mentioned business model identification Mode.
Specifically, its realization principle of each module and the technical effect of generation can refer to above-described embodiment, it is no longer superfluous herein It states.In order to more clearly embody the using effect of CPR Engine, the multiple of CPR Engine will be illustratively introduced below and are answered With scene:
Scene one:
As shown in figure 12, be based on CPR Engine, an available virtual map based on scene, including office building, Cinema, subway etc. are in the different scenes for similarly managing position, provide personalized clothes with different people are intended to for scene Business.For example, being located at 4 people in same seat building in for the example above, wherein
One goes out subway station C mouthfuls when Mr. A goes to work, and by CPR Engine, also Mr. As is not waited to say demand, terminal device Can issue and inquire: " you will order ", so that the dining room of Mr. A one to the building can immediately be taken away, without It is lined up;
B schoolgirl aside go to work by office building, by CPR Engine, looks for dining room in the building when B schoolgirl's noon, or flat When sauntering, terminal device energy active push orders deduction and exemption activity or discounting activity to B schoolgirl;
Mr. C seldom comes near this, is unfamiliar with to ambient enviroment, by CPR Engine, when Mr. C enjoyed it is two small When film after, shown on terminal device Mr. C in the parking space information of the underground parking in building, or directly for Mr.'s C chauffeur return Family;
Mr. D passes through CPR to the company from building to when smoking downstairs, wanting have a prompting to take express delivery in passing Engine is first born that time of office building in D, and terminal device reminds Mr. D that express delivery is taken away, after going back to company so as not to Mr. D Get off again one time.
Scene two:
Businessman generally wants to realize such a function: when user comes into market, can push discount coupon.However the prior art In, all kinds of mapping service providers can only be relied on merely to obtain user geographical location, it is contemplated that every 5min is needed to take to map A provider user of inquiry be engaged in whether in market.In practical application, the server of mapping service provider it is unbearable this A large amount of, frequent inquiry;Mobile phone terminal equipment as frequent inquiry and power consumption obviously increases;Most of all, this The accuracy of kind identification method is unable to get guarantee, such as it can not tell and pass by market, but not enter into indoor crowd.
Based on CPR Engine, it can identify that user moves towards indoor from outdoor.Therefore, can confirm in CPR Engine After user stops indoors, then to mapping service provider inquiry user whether in market.This can reduce by 99% queries, and And additional power dissipation overhead will not be brought.
Scene three:
The application programs such as browser are generally wanted to realize such a function: wishing to recommend personalized palace lattice and advertisement. However current state is the recommendation that can not accomplish for individual, and the same palace lattice can only all be arranged to owner and launch phase Same advertisement.If realizing personalized recommendation by big data platform help, can have the following problems: big data platform can be collected Data volume it is limited, even data volume is insufficient, therefore intelligent algorithm is advanced again, and the model trained is not yet It is quasi-;It is only capable of being group and recommend, cannot accomplish personalized recommendation to independent individual;It does not know when to make recommendation, The time of recommendation can not hold, and can only recommend at the same time all targets.And it is based on CPR Engine, it is able to solve The above problem.
Scene four:
For the user of health application program, sports type and diet type can be divided into roughly.For sports type user, Health application program wishes to can recognize that gymnasium scene, can recommend neighbouring construction course and coach in this way.For not liking For the user of movement, health application program wishes the record food and drink data that they can be hardworking.Especially for long-term for opening For the user of application program, health application program wishes to identify scene " after meal ".
The embodiment of the present invention can precisely differentiate user's scene by CPR Engine, improve the intelligent level of service.
Embodiment eight
The embodiment of the invention provides a kind of terminal devices, as shown in figure 13, comprising:
Identification module 1310 determines the corresponding field of active user for the communication information according to the terminal device got Scape information;
Wherein, the communication data acquiring unit as shown in Figure 11 of identification module 1310, CPR Engine, scene Recognition unit Deng composition.
Service module 1320, for executing corresponding service processing based on the scene information determined.
Optionally, the communication information of terminal device includes at least one of the following:
Network system information, network configuration information, signal measurement information, communication service information.
Optionally, identification module 1310 is specifically used at least one of following:
Identify current scene;
Predict predetermined scene;
Predict the time of origin of predetermined scene.
Optionally, identification module 1310 is specifically used for the communication information according to the terminal device got, is based on network sense Know at least one in identification method, Move Mode identification method and business model identification method, determines that active user is corresponding Scene information.
Optionally, identification module 1310 is specifically used for screening the communication information based on network aware identification method;
And identification module 1310 is specifically used for passing through following at least one side according to the communication information after Screening Treatment Formula determines the corresponding scene information of active user:
And identification module 1310 is specifically used for directly determining active user couple according to the communication information after Screening Treatment The scene information answered;
And identification module 1310 is specifically used for being based on Move Mode identification side according to the communication information after Screening Treatment Formula and/or business model identification method determine the corresponding scene information of active user.
Optionally, identification module 1310 is specifically used for screening communication data information by preset knowledge mapping Processing, knowledge mapping includes the corresponding relationship of the communication information and scene.
Optionally, identification module 1310 is specifically used for dedicated based on what is extracted from the communication information after Screening Treatment The parameter of mark and/or predetermined value determines scene information corresponding with the specific identity.
Optionally, identification module 1310 is specifically used for any one of following:
According to communication data relevant to wireless signal variation rule in the communication information, pass through the scene signals of prebuild With mode, the corresponding scene information of active user is determined;
According to communication data relevant to wireless signal variation rule in the communication information, pass through the first depth of pre-training Network is practised, determines the corresponding scene information of active user;
Scene is sent to server and determines request, includes relevant to wireless signal variation rule in the communication information in request Communication data, and server is received in response to the scene information of request feedback.
Optionally, identification module 1310 is specifically used for any one of following:
According to communication data relevant to Business Stream in the communication information, by the scene service stream match pattern of prebuild, Determine the corresponding scene information of active user;
According to communication data relevant to Business Stream in the communication information, by the second deep learning network of pre-training, really Determine the corresponding scene information of active user;
Scene is sent to server and determines request, includes communication data relevant to Business Stream in the communication information in request, And server is received in response to the scene information of request feedback.
Optionally, scene signals match pattern is terminal device local prebuild or sends out after receiving server prebuild It send;
Scene service stream match pattern is terminal device local prebuild or sends after receiving server prebuild;
First deep learning network is terminal device local pre-training or sends after receiving server pre-training;
Second deep learning network is terminal device local pre-training or sends after receiving server pre-training.
Optionally, terminal device provided in an embodiment of the present invention, further includes:
Matching module, for establishing between scene information and the communication information when determining scene information according to the communication information Matching relationship;
Module is established, for establishing personal communication pattern database according to matching relationship;
Wherein, identification module 1310 is specifically used for the communication information according to the terminal device got, by established Personal communication pattern database determines the corresponding scene information of active user.
Optionally, service module 1320 is specifically used for following at least one situation:
Scene information is sent to corresponding server by scheduled application programming interfaces, and receives corresponding server The information on services corresponding with scene information of feedback;
Based on the scene information determined, determines and execute corresponding terminal control instruction.
Optionally, service module 1320 is specifically used for based on the scene information determined, and user behavior characteristics is combined to believe Breath and/or user's portrait, execute corresponding service processing.
The technical effect and preceding method of terminal device provided by the embodiment of the present invention, realization principle and generation are implemented Example is identical, and to briefly describe, Installation practice part does not refer to place, can refer to corresponding contents in preceding method embodiment, In This is repeated no more.
Terminal device provided by the embodiment of the present invention, be utilized that communication data of terminal equipment side itself includes is abundant Information, and from dynamic angle, changing rule relevant with user's scene is excavated, is believed according to the communication of the terminal device got Breath, determines the corresponding scene information of active user, based on the scene information determined, executes corresponding service processing, this scheme Similar geographical location, but the user of different scenes can be distinguished, is had to the intelligent level and individualized experience that promote service Important meaning.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, the journey Method described in any of the above embodiments is realized when sequence is executed by processor.
The embodiment of the invention also provides a kind of terminal devices, comprising:
Processor;And memory, storage machine readable instructions are configured to, described instruction is executed by the processor When, so that the processor executes method described in any of the above embodiments.
Those skilled in the art of the present technique be appreciated that " terminal device " used herein above can be it is portable, can transport, It is placed in the vehicles (aviation, sea-freight and/or land), or is suitable for and/or is configured in local runtime, and/or With distribution form, any other position operation in the earth and/or space is operated in.
Those skilled in the art of the present technique are appreciated that " terminal device " used herein above comprising but be not limited to calculate The cloud that machine, network host, single network server, multiple network server collection or multiple servers are constituted.Here, cloud is by being based on The a large number of computers or network servers of cloud computing (Cloud Computing) is constituted, wherein cloud computing is distributed computing One kind, a super virtual computer consisting of a loosely coupled set of computers.
Wherein, memory can be used for storing software program and module, and processor is stored in the soft of memory by operation Part program and module, thereby executing various function application and data processing.Memory can mainly include storing program area and Storage data area.In addition, memory may include high-speed random access memory, it can also include nonvolatile memory, example Such as at least one disk memory, flush memory device or other volatile solid-state parts.
Processor is control centre, using the various pieces of various interfaces and the entire terminal device of connection, passes through fortune Row executes the software program and/or module being stored in memory, and calls the data being stored in memory, executes each Kind function and processing data, to carry out integral monitoring to terminal device.Optionally, processor may include one or more processing Unit;Preferably, processor can integrate application processor and modem processor, wherein application processor mainly handles behaviour Make system, user interface and application program etc., modem processor mainly handles wireless communication.It is understood that above-mentioned Modem processor can not also be integrated into the processor.
" terminal device " used herein above can also be disclosed by specific technical details including more parts etc., please join According to present invention method part, details are not described herein
It should be understood that although each step in the flow chart of attached drawing is successively shown according to the instruction of arrow, These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps Execution there is no stringent sequences to limit, can execute in the other order.Moreover, at least one in the flow chart of attached drawing Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps Completion is executed, but can be executed at different times, execution sequence, which is also not necessarily, successively to be carried out, but can be with other At least part of the sub-step or stage of step or other steps executes in turn or alternately.
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (16)

1. a kind of recognition methods of user's scene characterized by comprising
According to the communication information of the terminal device got, the corresponding scene information of active user is determined;
Based on the scene information determined, corresponding service processing is executed.
2. the method according to claim 1, wherein the communication information of the terminal device includes following at least one :
Network system information, network configuration information, signal measurement information, communication service information.
3. the method according to claim 1, wherein the determining scene information, includes at least one of the following:
Identify current scene;
Predict predetermined scene;
Predict the time of origin of predetermined scene.
4. method according to claim 1-3, which is characterized in that the terminal device that the basis is got leads to Letter information determines the corresponding scene information of active user, comprising:
According to the communication information of the terminal device got, it is based on network aware identification method, Move Mode identification method and industry At least one of in pattern-recognition mode of being engaged in, determine the corresponding scene information of active user.
5. according to the method described in claim 4, it is characterized in that, being based on according to the communication information of the terminal device got At least one of in network aware identification method, Move Mode identification method and business model identification method, determine active user Corresponding scene information, comprising:
The communication information is screened based on network aware identification method;
According to the communication information after Screening Treatment, the corresponding scene information of active user is determined by way of following at least one:
According to the communication information after Screening Treatment, the corresponding scene information of active user is directly determined;
According to the communication information after Screening Treatment, it is based on Move Mode identification method and/or business model identification method, determination is worked as The corresponding scene information of preceding user.
6. according to the method described in claim 5, it is characterized in that, described believe the communication based on network aware identification method Breath is screened, comprising:
By preset knowledge mapping, the communication data information is subjected to Screening Treatment, the knowledge mapping includes communication letter The corresponding relationship of breath and scene.
7. method according to claim 5 or 6, which is characterized in that based on the communication information after Screening Treatment, directly determine The corresponding scene information of active user, comprising:
Based on the parameter of the specific identity and/or predetermined value extracted from the communication information after Screening Treatment, determine with The corresponding scene information of the specific identity.
8. according to the described in any item methods of claim 4-6, which is characterized in that be based on Move Mode identification method, determination is worked as The corresponding scene information of preceding user, including any one of following:
According to communication data relevant to wireless signal variation rule in the communication information, mould is matched by the scene signals of prebuild Formula determines the corresponding scene information of active user;
According to communication data relevant to wireless signal variation rule in the communication information, pass through the first deep learning net of pre-training Network determines the corresponding scene information of active user;
Scene is sent to server and determines request, includes relevant to wireless signal variation rule in the communication information in the request Communication data, and receive the scene information that server is fed back in response to the request.
9. according to the described in any item methods of claim 4-6, which is characterized in that be based on business model identification method, determination is worked as The corresponding scene information of preceding user, including any one of following:
It is determined according to communication data relevant to Business Stream in the communication information by the scene service stream match pattern of prebuild The corresponding scene information of active user;
According to communication data relevant to Business Stream in the communication information, by the second deep learning network of pre-training, determination is worked as The corresponding scene information of preceding user;
Scene is sent to server and determines request, includes communication data relevant to Business Stream in the communication information in the request, And receive the scene information that server is fed back in response to the request.
10. method according to claim 8 or claim 9, which is characterized in that
Scene signals match pattern is terminal device local prebuild or sends after receiving server prebuild;
Scene service stream match pattern is terminal device local prebuild or sends after receiving server prebuild;
First deep learning network is terminal device local pre-training or sends after receiving server pre-training;
Second deep learning network is terminal device local pre-training or sends after receiving server pre-training.
11. the method according to claim 1, wherein this method further include:
When determining scene information according to the communication information, the matching relationship between scene information and the communication information is established;
According to the matching relationship, personal communication pattern database is established;
Wherein, according to the communication information of the terminal device got, the corresponding scene information of active user is determined, comprising:
Current use is determined by established personal communication pattern database according to the communication information of the terminal device got The corresponding scene information in family.
12. -11 described in any item methods according to claim 1, which is characterized in that based on the scene information determined, execute Corresponding service processing, comprises at least one of the following situation:
Scene information is sent to corresponding server by scheduled application programming interfaces, and receives corresponding server feedback Information on services corresponding with the scene information;
Based on the scene information determined, determines and execute corresponding terminal control instruction.
13. -11 described in any item methods according to claim 1, which is characterized in that based on the scene information determined, execute Corresponding service processing, comprising:
Based on the scene information determined, and user behavior characteristics information and/or user is combined to draw a portrait, executes corresponding service center Reason.
14. a kind of terminal device characterized by comprising
Identification module determines the corresponding scene information of active user for the communication information according to the terminal device got;
Service module, for executing corresponding service processing based on the scene information determined.
15. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor Claim 1-13 described in any item methods are realized when execution.
16. a kind of terminal device characterized by comprising
Processor;And
Memory is configured to storage machine readable instructions, and described instruction by the processor when being executed, so that the processing Device perform claim requires the described in any item methods of 1-13.
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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110826006A (en) * 2019-11-22 2020-02-21 支付宝(杭州)信息技术有限公司 Abnormal collection behavior identification method and device based on privacy data protection
CN111182205A (en) * 2019-12-30 2020-05-19 维沃移动通信有限公司 Photographing method, electronic device, and medium
CN111245805A (en) * 2020-01-06 2020-06-05 北京元心科技有限公司 EMM (emergency management message) based method, terminal device, server and system for generating management and control strategy
CN111414900A (en) * 2020-04-30 2020-07-14 Oppo广东移动通信有限公司 Scene recognition method, scene recognition device, terminal device and readable storage medium
CN112566033A (en) * 2021-02-24 2021-03-26 浙江口碑网络技术有限公司 Feature uploading and acquiring method and device for wireless signal
CN112968946A (en) * 2021-02-01 2021-06-15 斑马网络技术有限公司 Scene identification method and device for internet connection vehicle and electronic equipment
CN112988946A (en) * 2021-05-07 2021-06-18 泰瑞数创科技(北京)有限公司 Geographic entity database user customization method
CN113240937A (en) * 2021-05-13 2021-08-10 重庆长安汽车股份有限公司 Automatic parking stall informing method and system
WO2023184185A1 (en) * 2022-03-29 2023-10-05 西门子股份公司 Application orchestration method and apparatus
WO2024055851A1 (en) * 2022-09-14 2024-03-21 华为技术有限公司 Data processing method and terminal device

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106154849A (en) * 2015-04-19 2016-11-23 郑建锋 Identify the method and system into place
CN106856488A (en) * 2015-12-08 2017-06-16 阿里巴巴集团控股有限公司 A kind of scene perception and the method and device of offer service
CN107027144A (en) * 2016-02-01 2017-08-08 中国移动通信集团公司 A kind of high-speed mobile scene detection method and device
CN107027134A (en) * 2016-02-01 2017-08-08 上海无线通信研究中心 A kind of user-defined radio communication network side method and system
JP2018038002A (en) * 2016-09-02 2018-03-08 日本電信電話株式会社 Policy management system, policy management method, and policy management device
CN107888765A (en) * 2017-10-31 2018-04-06 维沃移动通信有限公司 A kind of method of handoff scenario pattern, mobile terminal

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106154849A (en) * 2015-04-19 2016-11-23 郑建锋 Identify the method and system into place
CN106856488A (en) * 2015-12-08 2017-06-16 阿里巴巴集团控股有限公司 A kind of scene perception and the method and device of offer service
CN107027144A (en) * 2016-02-01 2017-08-08 中国移动通信集团公司 A kind of high-speed mobile scene detection method and device
CN107027134A (en) * 2016-02-01 2017-08-08 上海无线通信研究中心 A kind of user-defined radio communication network side method and system
JP2018038002A (en) * 2016-09-02 2018-03-08 日本電信電話株式会社 Policy management system, policy management method, and policy management device
CN107888765A (en) * 2017-10-31 2018-04-06 维沃移动通信有限公司 A kind of method of handoff scenario pattern, mobile terminal

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110826006B (en) * 2019-11-22 2021-03-19 支付宝(杭州)信息技术有限公司 Abnormal collection behavior identification method and device based on privacy data protection
CN110826006A (en) * 2019-11-22 2020-02-21 支付宝(杭州)信息技术有限公司 Abnormal collection behavior identification method and device based on privacy data protection
CN111182205B (en) * 2019-12-30 2021-07-27 维沃移动通信有限公司 Photographing method, electronic device, and medium
CN111182205A (en) * 2019-12-30 2020-05-19 维沃移动通信有限公司 Photographing method, electronic device, and medium
CN111245805A (en) * 2020-01-06 2020-06-05 北京元心科技有限公司 EMM (emergency management message) based method, terminal device, server and system for generating management and control strategy
CN111414900A (en) * 2020-04-30 2020-07-14 Oppo广东移动通信有限公司 Scene recognition method, scene recognition device, terminal device and readable storage medium
CN111414900B (en) * 2020-04-30 2023-11-28 Oppo广东移动通信有限公司 Scene recognition method, scene recognition device, terminal device and readable storage medium
CN112968946A (en) * 2021-02-01 2021-06-15 斑马网络技术有限公司 Scene identification method and device for internet connection vehicle and electronic equipment
CN112566033A (en) * 2021-02-24 2021-03-26 浙江口碑网络技术有限公司 Feature uploading and acquiring method and device for wireless signal
CN112988946A (en) * 2021-05-07 2021-06-18 泰瑞数创科技(北京)有限公司 Geographic entity database user customization method
CN112988946B (en) * 2021-05-07 2021-08-31 泰瑞数创科技(北京)有限公司 Geographic entity database user customization method
CN113240937A (en) * 2021-05-13 2021-08-10 重庆长安汽车股份有限公司 Automatic parking stall informing method and system
WO2023184185A1 (en) * 2022-03-29 2023-10-05 西门子股份公司 Application orchestration method and apparatus
WO2024055851A1 (en) * 2022-09-14 2024-03-21 华为技术有限公司 Data processing method and terminal device

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Application publication date: 20191119