CN111246389A - Intelligent network selection method, device and system based on user behaviors - Google Patents
Intelligent network selection method, device and system based on user behaviors Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0055—Transmission or use of information for re-establishing the radio link
- H04W36/0058—Transmission of hand-off measurement information, e.g. measurement reports
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
- H04W36/0085—Hand-off measurements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/24—Reselection being triggered by specific parameters
- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/24—Reselection being triggered by specific parameters
- H04W36/32—Reselection being triggered by specific parameters by location or mobility data, e.g. speed data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/24—Accounting or billing
Abstract
The invention discloses an intelligent network selection method, a device and a system based on user behaviors, wherein the method comprises the steps of predicting the network access requirement of a user at a corresponding destination according to a predicted user traveling destination, the network access behavior of the current user and/or the network access behavior of other users at the corresponding destination, opening and issuing the preferred operator personalized data of the traveling destination for the user in advance, and opening a corresponding flow package; and after the user arrives at the traveling destination, automatically switching to the corresponding operator network for the user. According to the invention, the network use condition of the user is dynamically adjusted by predicting the internet surfing behavior and the traveling route of the user and controlling the background, so that a more personalized and economical network package is provided for the user, the network experience of the user during roaming can be met, and the economic cost can be saved.
Description
Technical Field
The invention relates to a wireless communication technology, in particular to an intelligent network selection method, device and system based on user behaviors.
Background
In an international roaming service scenario, the selection of a network of a cooperative operator all the time is to determine the corresponding roaming priority according to the overall network quality, price, cooperative relationship and other factors of the operator, and realize roaming site network entry by modifying the configuration information of the SIM card through an OTA (over the air) technology.
The current roaming implementation mode does not consider the problem of regional network quality of operators and the difference of service quality requirements of users. With the application of 5G technology, the problem of coverage imbalance of a 5G network area will be increasingly highlighted, that is, in a certain area of a city, only the 5G network quality of a certain operator is acceptable to a user, so that dynamically realizing pursuit of the network quality by the user will become a key point for improving service.
Disclosure of Invention
The invention discloses a technology for providing dynamic network service for a user when the user is in international roaming travel based on analysis and prediction of user behavior, so as to meet the requirements of different users on network service in the international travel process.
The technical scheme of the invention is as follows: an intelligent network selection method based on user behaviors comprises the following steps:
in the process of user traveling, predicting a subsequent traveling destination of the user according to the collected current user track data and/or track data of other users;
predicting the internet surfing requirement of the user according to the predicted user traveling destination, other user internet surfing behaviors corresponding to the destination and the internet surfing behavior of the current user, opening and issuing the preferred operator personalized data of the traveling destination for the user in advance, and opening a corresponding flow package;
and after the user arrives at the traveling destination, automatically switching to the corresponding operator network for the user.
The method for predicting the internet surfing requirement of the user comprises the following steps:
collecting user internet behavior data and extracting user internet behavior characteristics;
and calculating the requirements of the user on the internet type, the internet speed and the internet time in different time periods according to the user internet behavior characteristics.
The user internet behavior data comprises internet type, internet starting time, internet duration, internet flow and internet speed.
The user internet behavior characteristics comprise daily internet behavior characteristics and roaming internet behavior characteristics.
The actual internet behavior characteristics of the user at the roaming place can be used as reference when predicting the internet behavior characteristics of other users at the roaming place.
When the user internet behavior is predicted, the priority of the roaming on-ground internet behavior characteristic is higher than that of the daily internet behavior characteristic.
When the internet surfing behavior of the user destination is predicted, the roaming internet surfing behavior characteristics of other users at the destination are used as reference.
The intelligent network selection method based on the user behaviors further comprises the steps of predicting the traveling destination of the user and calculating the traveling route prediction characteristics of the user according to the traveling route characteristics of the user and the traveling characteristics of other users at the current position.
The predicted travelling route characteristics of the user comprise current area information, possible routes, possibilities and time from the current area to other areas.
The preferred operator is selected according to the operator network quality analysis result, and the operator network quality analysis method comprises the following steps:
initializing the operator data of the traveling destination, and configuring priorities for different operators according to empirical values;
collecting network quality data of the travel destination: the network quality data comprises indexes such as internet surfing time, maximum network speed, average network speed, minimum network speed and the like, and the serial number, signal intensity, connection time and network state of an operator base station;
calculating an operator network quality of the travel destination: calculating the actual network quality of each operator of the travelling destination through the network quality data reported by the roaming equipment of other users at the corresponding destination, and updating the priority of each operator again;
the preferred operator who obtains the travel destination: and selecting the operator meeting the internet surfing requirement of the user according to the designated area, the internet surfing requirement of the user and the priority of the operator.
An intelligent network selection device based on user behaviors is used for analyzing and processing user internet behavior data, customizing an individualized operator package for a user according to a processing result and issuing the customized operator package to roaming equipment, and comprises:
the message gateway receives the data uploaded by the user roaming equipment and transmits the data to the service scheduling and processing module for processing; receiving data sent by the service scheduling and processing module, and sending the data to the user roaming equipment;
the service scheduling and processing module controls the user path analysis module and predicts a user traveling route; the user internet behavior analysis module is controlled to predict the internet demand of the user after the user reaches the destination and send the user demand to the operator subscription and reading management module; the network quality analysis module of the operator in the control area analyzes the network quality of the operator in the designated area and sends a preferred operator network list to the operator subscription management module; controlling an operator subscription management module to customize an operator package list according to the predicted user internet surfing requirement and destination;
the user path analysis module is used for calculating the travelling track data reported by the user roaming equipment and the travelling track data of other users at corresponding positions, extracting the travelling track characteristics of the geographical positions of the users and predicting the travelling route of the users;
the user internet behavior analysis module is used for calculating the user internet behavior data, the roaming internet behavior data of the user and the actual internet behavior data of other users at corresponding destinations, extracting the user internet behavior characteristics and predicting the internet access requirements of the user;
the regional operator network quality analysis module is used for analyzing the operator network quality of the specified region and returning a preferred operator network list to the operator subscription management module;
and the operator subscription management module is used for customizing an operator package list according to the predicted user internet surfing requirement and the predicted traveling destination and sending the operator package list to the service scheduling and processing module.
The intelligent network selection system comprises a service processing server and roaming equipment, wherein the roaming equipment is used for a user to surf the internet, uploading user internet behavior data and user geographical position data to the service processing server, receiving personalized operator data sent by the service processing server, and connecting to a specified operator network.
The service processing server is used for analyzing and processing the user internet behavior data and the user traveling geographic position track data, customizing an individualized operator package for the user according to a processing result, and issuing the personalized operator package to the roaming equipment, and comprises:
the message gateway receives the data uploaded by the user roaming equipment and transmits the data to the service scheduling and processing module for processing; receiving data sent by the service scheduling and processing module, and sending the data to the user roaming equipment;
the service scheduling and processing module controls the user path analysis module and predicts a user traveling route; the user internet behavior analysis module is controlled to predict the internet demand of the user after the user reaches the destination and send the user demand to the operator subscription and reading management module; the network quality analysis module of the operator in the control area analyzes the network quality of the operator in the designated area and sends a preferred operator network list to the operator subscription management module; controlling an operator subscription management module to customize an operator package list according to the predicted user internet surfing requirement and destination;
the user path analysis module is used for calculating the travelling track data reported by the user roaming equipment and the travelling track data of other users at corresponding positions, extracting the travelling track characteristics of the geographical positions of the users and predicting the travelling route of the users;
the user internet behavior analysis module is used for calculating the user internet behavior data, the user roaming on-ground internet behavior data and the internet behavior data of other users in the corresponding roaming places to obtain the user internet behavior characteristic value and predicting the internet demand of the user;
the regional operator network quality analysis module is used for analyzing the operator network quality of the specified region and returning to the preferred operator network list;
and the operator subscription management module is used for customizing an operator package list according to the predicted user internet surfing habit and destination.
The roaming device comprises the following modules:
a) the user identity module is used for processing the communication network user identity information and roaming information, and comprises:
the communication base station information collector is used for recording corresponding change information when a base station connected with the equipment is changed;
the SIM personalized file controller is used for downloading, installing, enabling, disabling and deleting one or more operator personalized data according to the instruction of the service server;
the equipment data interaction gateway is used for interaction between the SIM personalized file controller and roaming equipment;
the SIM business processor is used for sending the roaming equipment and the SIM card user data to the business server and processing the data sent by the business server;
the safety communication gateway is used for establishing a safety communication channel with the service server;
b) the equipment control module is used for roaming equipment information acquisition and control, receiving and responding to the request of the user identity module, and comprises:
the device controller is used for controlling the roaming device to carry out network speed limit, reset, restart and configuration file change;
the equipment information collector is used for collecting the position, the network state, the internet speed and the equipment state of the roaming equipment at regular time;
and the user interaction interface module is used for notifying the user of the information and receiving the user operation information.
The system also comprises an operator server used for opening corresponding package and network access service for the user.
The present invention also provides an electronic device comprising: the device comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space enclosed by the shell, and the processor and the memory are arranged on the circuit board; a power supply circuit for supplying power to each circuit or device of the electronic apparatus; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, and is used for executing the intelligent network selection method based on the user behavior.
The present invention also provides a computer readable storage medium containing one or more program instructions for executing the intelligent network selection method based on user behavior as described above.
According to the invention, the network use condition of the user is dynamically adjusted by analyzing the internet surfing behavior and the advancing route of the user and in a background control mode, so that a more personalized and economical network package is provided for the user, the network experience of the user during roaming can be met, and the economic cost can be saved.
Technically, the method analyzes the possible internet access requirements of the corresponding user in the roaming place by monitoring the internet access behaviors and habits of the user and combining the behaviors of more destination users, provides reference suggestions for the user, and enables the user to define the network data service requirements of the user in a digital form, thereby providing better package service for the user.
In addition, the invention predicts the possible future destination of the user by analyzing the user traveling route and the network quality of the destination operator, preferentially selects the network operator corresponding to the destination, and presets the data of the destination operator to the SIM card in advance, thereby improving the speed of network switching, realizing the network change of the user under the condition of no sense, and improving the user experience.
Drawings
FIG. 1 is a flow chart of an intelligent network selection method based on user behavior;
FIG. 2 is a flow chart of a user daily Internet access behavior feature calculation;
FIG. 3 is a flowchart illustrating a user roaming site surfing behavior feature calculation;
FIG. 4 is a flowchart illustrating the behavior characteristic prediction of roaming user in the terrestrial network;
FIG. 5 is a flow chart of calculating a user's internet access requirement according to a feature value;
FIG. 6 is a flow chart of a user travel trajectory analysis;
FIG. 7 is a flow chart of operator network quality analysis;
FIG. 8 is a flow chart of operator service provisioning
Fig. 9 is a schematic structural diagram of an intelligent network selection system based on user behaviors.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
The invention provides an intelligent network selection method based on user behaviors, which comprises the following steps:
in the process of user traveling, predicting a subsequent traveling destination of the user according to the traveling track of the user and the traveling tracks of other users at corresponding positions;
predicting the internet surfing requirements of the user according to the internet surfing behavior data of the user, the traveling destination of the user and the internet surfing behavior data of other users at the traveling destination;
before a user arrives at a traveling destination, opening and issuing the preferred operator personalized data of the traveling destination in advance for the user according to the predicted user internet surfing requirement, and opening a corresponding flow package;
and after the user arrives at the traveling destination, automatically switching to the corresponding operator network for the user.
As shown in fig. 1, the main flow of the intelligent network selection method based on user behavior is as follows:
1) when a user starts to use roaming equipment, the equipment can report the internet surfing behavior of the user to a server end at regular time;
2) a user internet behavior analysis module (UserInternetBehavior analysis Module) at the server end records and analyzes the user internet behavior, calculates or corrects the characteristics of the user internet behavior, is used for predicting the possible internet behavior and demand of the user at other places and is used as the reference of other users on the internet behavior;
3) the roaming equipment of the user can collect and record the position information of the user and report the position information to the server end at regular time;
4) the server side records the position information reported by the user, and calculates and corrects the characteristics of the user traveling route by combining the traveling tracks of other users at corresponding positions, so as to predict the next travel and destination of the user;
5) according to the characteristics of the traveling route of the user, the system predicts the traveling destination of the user for a period of time in the future at regular time and forms a list;
6) predicting the internet surfing requirement of the user at the corresponding travelling destination according to the travelling destination list of the user and the internet surfing behavior characteristics of the user;
7) according to the user traveling destination and the internet access requirement list, combining the network quality analysis result of the operator corresponding to the destination, opening and issuing the preferred operator personalized data corresponding to the destination for the user in advance, and opening the corresponding flow package; the operator personalized data is data for registering and opening a specific operator network;
8) after the user arrives at the traveling destination, the equipment automatically starts the personalized data of the designated operator, enables the equipment to use the network and flow package of the designated operator, and collects and reports the internet surfing state and behavior of the user;
9) recording the actual internet access quality of the user, calculating and correcting the network quality rating of the local operator, and ending the process.
Wherein, 1, the user's behavior analysis of surfing the Internet
The method is used for obtaining the user internet behavior characteristics and obtaining the user internet demand according to the user internet behavior characteristics.
1) Noun interpretation
Classifying the internet behavior characteristics of the users: the method is divided into two types, namely daily internet surfing behavior characteristics and roaming on-ground internet behavior characteristics, and when internet surfing behavior prediction is carried out, the priority of the roaming on-ground internet behavior characteristics is higher than that of the daily internet surfing behavior characteristics.
Minimum set of internet behavior data: the minimum unit for collecting the user internet behavior data, namely a data set which must be provided when the user internet behavior data is analyzed, comprises the following steps: the method comprises the steps of providing more and more comprehensive internet surfing data types, providing smaller data intervals and calculating more and more accurate internet surfing behavior characteristics.
The internet surfing behavior characteristics are as follows: the data of the user internet behavior is analyzed to obtain a group of characteristic values, the requirements of the possible internet behavior of the user on the flow and the network speed can be reversely deduced according to the group of characteristic values, and meanwhile, the characteristic values can be transversely compared with other characteristic values to obtain the similarity of the two characteristics.
And (3) a feature extraction algorithm: an algorithm for extracting the internet behavior characteristics of the user, which comprises the following steps: a) characterizing the user internet behavior, namely extracting the key characteristics of the user internet behavior and digitizing the key characteristics; b) comparing the two different characteristic values, and returning the similarity (which can be used for judging the similarity of different internet behaviors); c) and calculating the given characteristic value, and returning the corresponding internet surfing requirement (at least comprising date/time, internet surfing flow, internet surfing speed and the like).
2) Introduction to the flow
a) As shown in fig. 2, the user daily internet behavior feature calculation process includes: collecting and reporting the daily Internet surfing behavior data of the user, and calculating the characteristic value of the daily Internet surfing behavior of the user to extract the daily Internet surfing behavior characteristic of the user, wherein the calculated characteristic value is also used as a basis for calculating the roaming Internet surfing behavior characteristic of the user;
b) as shown in fig. 3, the user roaming place internet behavior feature calculation process: collecting and reporting internet behavior data of a user in a roaming state in a specific area, calculating a characteristic value to extract the behavior characteristics of the user roaming on the ground, wherein the finally calculated characteristic value is used as a basis for calculating the behavior characteristics of the user on other roaming ground, and meanwhile, the characteristic value is also used as a basis for predicting the behavior of other users on the roaming ground;
c) as shown in fig. 4, the process of predicting the behavior characteristics of the roaming user on the ground network includes: and calculating the internet surfing behavior characteristics of the user in the appointed roaming place according to the roaming place of the user, the daily internet surfing behavior characteristics (optional) of the user and the internet surfing behavior characteristics (optional) of the user roaming place, and taking the internet surfing behavior characteristics as the basis for opening the flow package.
d) As shown in fig. 5, the process of calculating the internet access requirement of the user according to the feature value: and calculating the requirements of the user on the internet traffic and the internet speed in each time period according to the input characteristic values, and returning the operation results in a set or list form.
2. User travel trajectory analysis
For predicting user's travel destination
1) Noun interpretation
Roaming place: all areas in the global range can be selected according to the actual operation market of an enterprise, and the traveling destination belongs to a roaming place;
track data: the data can be third-party service provider data according to actual conditions;
acquiring track data: the collected data mainly comprises base station change data (for example, from a base station A to a base station B, the data comprises MCC, MNC, LAC, CellID and the like) and geographical position change (for example, from a city A to a city B, the city division can be carried out according to a plurality of granularities, and the minimum division can be carried out to a certain building and a certain cell), and the important point is track data which needs to be monitored by the system.
Track characteristic value: the method comprises two types of characteristic values of a track of a line which a user has travelled and a predicted characteristic value of the line which the user has travelled, wherein the characteristic value of the track of the line which the user has travelled is characterized, namely digitalized, the characteristic value refers to the characteristic of the track of the user, and the important point is that the travelling route (monitored track data), the time length and the like of the user are characterized so as to be convenient for quick comparison and backward pushing (the travelling route and the travelling time of the user can be reversely pushed through the characteristic value of the track, and the travelling route comprises conditions such as base station change, WiFi change, GPS change and the like); the user travel route prediction characteristic value is calculated according to the travel route track characteristic value of the user, and possible travel route tracks of the user in the subsequent time period are obtained and subjected to possibility evaluation and arrival time prediction. A user has a specific traveled route trajectory feature value, and a predicted travel route feature value of the user can be calculated according to the feature value (for example, a predicted travel route feature value at least includes corresponding current region information, such as region A, and possible routes, possibilities, and times from the current region to other regions, such as A- > B, 80%, 160 minutes, A- > C, 95%, 56 minutes, A- > D, 45%, 234 minutes).
A track feature extraction algorithm: the method comprises the contents of three aspects, namely a) calculating a characteristic value of a current travel track of a user according to a travel route of the user; b) analyzing the traveling routes of all users, extracting a possible traveling track characteristic value of a certain area, and predicting the traveling routes of other users in the area; c) predicting a track, namely predicting a characteristic value of a next possible travelling track of the user according to the travelling route characteristic of the user; d) and (4) calculating characteristics, namely reversely pushing the designated track characteristic value, and calculating a corresponding travelling line, possibility and travelling time.
2) Flow chart, as shown in FIG. 6
a) Initializing track data of each roaming place: initializing regional information of each roaming place, wherein the regional information comprises monitored city information (including specific monitoring positions of corresponding cities, such as buildings, scenic spots, cells, base station information and the like);
b) collecting the traveling track of the user roaming place: collecting the traveling track of a user in a roaming place, wherein the traveling track at least comprises information such as a previous position, a target position, time to the target position, stay time and the like; the invention calculates the collected information to obtain the characteristic value of the travelling track of the user, corrects the predicted characteristic value of the travelling route at the previous position, and can calculate the predicted characteristic value of the travelling route of the user;
c) extracting features of a travel track of a roaming place: correcting a predicted characteristic value of a traveling route corresponding to a monitoring place according to the traveling track of the user, namely how many possible traveling routes can extend from a certain place where the user arrives;
d) extracting the characteristics of the travel track of the user roaming place: calculating a characteristic value of a travelling track of a user at a roaming place, and predicting a subsequent travelling route of the user; a possible travel route of the user at the place; c) comprises d)
e) Predicting the traveling track of the user roaming place: and calculating the predicted characteristic value of the subsequent travelling route of the user according to the characteristic value of the travelling track of the roaming place of the user.
In the above flow, the user trajectory data and the roaming on-line behavior data may be used as references for predicting the travelling trajectory and the on-line behavior of other users in the corresponding roaming places, and meanwhile, the travelling trajectory and the on-line behavior of other users may also affect the prediction of the travelling trajectory and the on-line behavior of the current user. The reference is based on similarity comparison of internet behavior characteristics and traveling track characteristic values of all users.
3. Operator network quality analysis
As shown in fig. 7, the flow is as follows:
1) roaming place operator data initialization: and initializing roaming place operator data, mainly recording roaming place optional operators, and configuring corresponding priority according to empirical values. For example: paris, eiffel tower scenic spot, Orange, 80 (priority index, which can be customized); free, 60; SFR, 70;
2) acquiring network quality data of a user roaming place: acquiring network quality conditions of actual users in corresponding roaming places, wherein the network quality conditions comprise indexes such as internet surfing time, maximum network speed, average network speed, minimum network speed and the like, and indexes such as operator base station numbers, signal intensity, connection time, network states and the like;
3) roaming place operator network quality calculation: calculating the network quality of a roaming place network operator regularly, calculating the actual network quality of the roaming place network operator according to the user network quality data collected in a specific time period, and scoring the priority index of the operator again;
4) acquiring the optimal operator of the roaming: according to the designated area and the user internet access requirements (network speed, flow, possible internet access duration and the like), selecting the operators (optimal network speed, optimal tariff, optimal stability and the like) which accord with the actual user.
4. Operator service opening process
As shown in fig. 8, the flow is as follows:
1) the user reports corresponding position information and network use data in real time, the system judges the position information reported by the user, if the position of the user changes, the characteristic value of the traveling track of the user is calculated and used as destination prediction data of the user in the next time period;
2) the system predicts the internet surfing requirement of the user in the next roaming place according to the calculated characteristic value of the user traveling track, and generates a corresponding internet surfing behavior characteristic value;
3) the system recommends the preferred operator in each possible area according to the travel track characteristic value and the internet surfing behavior characteristic value of the user, for example, the current position of the user is a paris airport, and the system calculates the following possible travel routes of the user, including kajmen (expected arrival after 58 minutes, network demand: traffic 25M, network speed 128K, preferred operator: orange), kennel street (expected to arrive 125 minutes later, network demand: flow 256M, network speed 512K, preferred operator: orange), eiffel tower (expected to arrive after 87 minutes, network requirements: flow 50M, wire speed: 128K, preferred operator: SFR);
4) opening an operator package and issuing the package to user equipment: according to the arrival time, applying for opening a corresponding flow package to an operator in advance, and issuing operator authentication data to user equipment;
5) the user arrives at the roaming place: the device reports the user position information;
6) activating and enabling the corresponding operator network: the system activates a network of a particular operator on the device;
7) the user uses the network: the equipment regularly reports the internet access behavior, the position information and the network quality information of the user to the background server.
In the invention, a user internet behavior analysis algorithm, a user traveling track algorithm, a destination operator network quality analysis algorithm, an operator personalized data downloading and service opening mode and the like can adopt the existing general technology, and according to different algorithms, the user internet experience is mainly influenced, but the whole technology is not influenced.
The invention also provides an intelligent network selection device based on the user behavior, which is used for analyzing and processing the internet behavior data of the user, customizing the personalized operator package for the user according to the processing result and issuing the personalized operator package to the user roaming equipment.
a) MessageGateway: the message gateway receives and processes the equipment side message on one hand, and transfers the equipment side message to a business scheduling and processing module (BusinessProcessor) for processing; on the other hand, the BusinessProcessor message is received and is sent to the user roaming equipment;
b) BusinessProcessor: the service scheduling and processing module controls the user path analysis module and predicts a user traveling route; the user internet behavior analysis module is controlled to predict the internet demand of the user after the user reaches the destination and send the user demand to the operator subscription and reading management module; the network quality analysis module of the operator in the control area analyzes the network quality of the operator in the designated area and sends a preferred operator network list to the operator subscription management module; controlling an operator subscription management module to customize an operator package list according to the predicted user internet surfing requirement and destination;
c) user internet behavioranalysismodule: the user internet behavior analysis module analyzes the user internet behavior on one hand and determines the daily internet access habit of the user; on the other hand, the internet surfing behavior of the destination user is analyzed and used for predicting the possible internet surfing behavior of the current user after the current user arrives at the destination, so that an internet surfing package which meets the actual situation of the current user is made;
d) userroutes analysismodule: the user path analysis module is used for predicting the current user's current travel track according to the current user's submitted travel track by recording and analyzing the user's roaming path in a certain country/region, so as to select a proper network operator and package for the user;
e) MNonetworkQualityAnalysisModule: the regional operator network quality analysis module is used for analyzing the operator network quality of the specified region and returning to the preferred operator network list;
f) MNOSubscrimbeManagementModule: and the operator subscription management module is used for customizing an operator package list accurate to the hour for the user according to the predicted user internet surfing habit and destination.
The present invention also provides an intelligent network selection system based on user behavior, as shown in fig. 9, comprising a roaming device and a service server,
roaming device: the device can monitor and control the position, the internet data and the internet behavior of the user, and can interact data with the SIM card through a customized interface.
The roaming equipment is used for the user to surf the internet, uploading the user internet behavior data to the service processing server, receiving the personalized operator data sent by the service processor, and starting a corresponding flow package;
the service processor is used for analyzing and processing the internet behavior data of the user, customizing a personalized operator package for the user according to a processing result, and issuing the personalized operator package to the user roaming equipment, and comprises the following modules:
MessageGateway: the message gateway receives and processes the equipment side message on one hand, and transfers the equipment side message to a business scheduling and processing module (BusinessProcessor) for processing; on the other hand, the BusinessProcessor message is received and is sent to the user roaming equipment;
BusinessProcessor: the service scheduling and processing module is used for realizing the personalized customized service of the user online package by calling other modules; mainly controls the user path analysis module to predict the user travel route; the user internet behavior analysis module is controlled to predict the internet demand of the user after the user reaches the destination and send the user demand to the operator subscription and reading management module; the network quality analysis module of the operator in the control area analyzes the network quality of the operator in the designated area and sends a preferred operator network list to the operator subscription management module; controlling an operator subscription management module to customize an operator package list according to the predicted user internet surfing requirement and destination;
user internet behavioranalysismodule: the user internet behavior analysis module analyzes the user internet behavior on one hand and determines the daily internet access habit of the user; on the other hand, the internet surfing behavior of the destination user is analyzed and used for predicting the possible internet surfing behavior of the current user after the current user arrives at the destination, so that an internet surfing package which meets the actual situation of the current user is made;
userroutes analysismodule: the user path analysis module is used for predicting the current user's current travel track according to the current user's submitted travel track by recording and analyzing the user's roaming path in a certain country/region, so as to select a proper network operator and package for the user;
MNonetworkQualityAnalysisModule: the regional operator network quality analysis module is used for analyzing the operator network quality of the specified region and returning to the preferred operator network list;
MNOSubscrimbeManagementModule: and the operator subscription management module is used for customizing an operator package list accurate to the hour for the user according to the predicted user internet surfing habit and destination.
Further, the roaming device comprises the following modules:
a) SIMModule: namely, the subscriber identity module, which may be in the form of SIM, eSIM, vSIM, iSIM, or the like, is responsible for processing subscriber identity information and roaming information of the communication network.
Cbsinfocollector: the communication base station information collector is used for recording corresponding change information when a base station connected with the equipment is changed;
simprofilecontrol: the SIM personalized file controller is responsible for downloading, installing, enabling, disabling and deleting corresponding operator personalized data according to the instruction of the service server, and can control a plurality of (two or more) operator personalized data at one time;
DeviceDataGateway: the equipment data interaction gateway is a module used for interaction between the SIM and the equipment and is responsible for organizing and analyzing the message;
simbizprocessor: the SIM business processor is responsible for scheduling and processing SIM card business, and in the invention, the module is responsible for organizing equipment and SIM card user data, sending the data to the server, and simultaneously processing data sent by the server;
SecureCommGateway: and the secure communication gateway is responsible for carrying out communication with the server in various ways, including but not limited to HTTP/HTTPS, SMS, BIP and the like.
b) And the Device control module is responsible for acquiring and controlling the equipment information, and receiving and responding to the SIMModule request.
Devicecontroller: the device controller is used for controlling the device to carry out network speed limitation, reset, restart, configuration file change and the like;
DeviceInfoCollector: and the equipment information collector is used for regularly collecting information such as equipment position, network state, Internet access speed, equipment state and the like.
c) The user interaction interface Module is different in realization according to different equipment designs, can be a mobile phone APP, a display screen, a key and the like, and can also be an APP on other equipment and the like, and mainly informs the equipment information to a user and receives the user operation information.
Further, the intelligent network selection system based on the user behavior further comprises an operator server (MNOServer): and the method is used for opening the corresponding package and the network access personalized data to the user. The number of operator servers is multiple because multiple operators are involved.
The invention also provides an electronic device, which can be the service server. The electronic device includes: the device comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space enclosed by the shell, and the processor and the memory are arranged on the circuit board; a power supply circuit for supplying power to each circuit or device of the electronic apparatus; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory for performing the method of any of the preceding claims.
The invention also provides a computer readable storage medium storing one or more programs which are executable by one or more processors to implement the method of any preceding claim.
In an embodiment of the invention, the processor may be an integrated circuit chip having signal processing capability. The Processor may be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The processor reads the information in the storage medium and completes the steps of the method in combination with the hardware.
The storage medium may be a memory, for example, which may be volatile memory or nonvolatile memory, or which may include both volatile and nonvolatile memory.
The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory.
Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchonous DRAM (SLDRAM), and Direct Rambus RAM (DRRAM).
The storage media described in connection with the embodiments of the invention are intended to comprise, without being limited to, these and any other suitable types of memory.
Those skilled in the art will appreciate that the functionality described in the present invention may be implemented in a combination of hardware and software in one or more of the examples described above. When software is applied, the corresponding functionality may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.
Claims (10)
1. An intelligent network selection method based on user behaviors is characterized by comprising the following steps:
in the process of user traveling, predicting a subsequent traveling destination of the user according to the collected current user track data and/or track data of other users;
predicting the internet surfing requirements of the user at the corresponding destination according to the predicted user traveling destination, the internet surfing behavior of the current user and/or the internet surfing behavior of other users at the corresponding destination, opening and issuing the preferred operator personalized data of the traveling destination for the user in advance, and opening the corresponding flow package;
and after the user arrives at the traveling destination, automatically switching to the corresponding operator network for the user.
2. The intelligent network selection method based on the user behavior as claimed in claim 1, wherein the method for predicting the internet surfing requirement of the user comprises:
collecting user internet behavior data, extracting user internet behavior characteristics, and calculating the requirements of a user on internet type, internet speed and internet time in different time periods according to the user internet behavior characteristics;
the user internet behavior characteristics comprise daily internet behavior characteristics and roaming internet behavior characteristics; the user internet behavior data comprises internet type, internet starting time, internet duration and internet speed.
3. The intelligent network selection method based on the user behavior according to claim 2, wherein when the user internet behavior is predicted, the roaming on-ground network behavior feature priority is higher than the daily internet behavior feature.
4. The intelligent network selection method based on the user behaviors as claimed in claim 1, wherein the user travel destination is predicted, the user travel route characteristics are extracted according to the collected track data of the current user and/or other users, and the user travel route prediction characteristic value is calculated according to the user travel route characteristic value, wherein the user travel route prediction characteristic value comprises current area information, and possible routes, possibilities and times from the current area to other areas.
5. The intelligent network selection method based on user behavior according to any one of claims 1-4, characterized in that the user trajectory data comprises base station change data and user geographical location change data.
6. The intelligent network selection method based on the user behavior according to claim 1, wherein a preferred operator is selected by an operator network quality analysis result, and the operator network quality analysis method comprises:
initializing the operator data of the traveling destination, and configuring priorities for different operators according to empirical values;
collecting network quality data of the travel destination: the network quality data comprises indexes such as internet surfing time, maximum network speed, average network speed, minimum network speed and the like, and the serial number, signal intensity, connection time and network state of an operator base station;
calculating an operator network quality of the travel destination: calculating the actual network quality of each operator of the travelling destination through the network quality data reported by the roaming equipment of other users at the corresponding destination, and updating the priority of each operator again;
the preferred operator who obtains the travel destination: and selecting the operator meeting the internet surfing requirement of the user according to the designated area, the internet surfing requirement of the user and the priority of the operator.
7. An intelligent network selection device based on user behaviors is characterized in that the device is used for predicting the network access requirements of users according to the network access behaviors of the users, predicting the subsequent travelling destinations of the users according to collected user track data in the travelling process of the users, customizing personalized operator packages for the users in advance and issuing the packages to roaming equipment, and the device comprises:
the message gateway is used for receiving the data uploaded by the user roaming equipment and transmitting the data to the service scheduling and processing module for processing; the data processing module is used for receiving the data sent by the service scheduling and processing module and sending the data to the user roaming equipment;
the service scheduling and processing module controls the user path analysis module and predicts a user traveling route; the user internet behavior analysis module is controlled to predict the internet demand of the user after the user reaches the destination and send the user demand to the operator subscription and reading management module; the network quality analysis module of the operator in the control area analyzes the network quality of the operator in the designated area and sends a preferred operator network list to the operator subscription management module; controlling an operator subscription management module to customize an operator package list according to the predicted user internet surfing requirement and destination;
the user path analysis module is used for calculating the travelling track data reported by the user roaming equipment and the travelling track data of other users at corresponding positions, extracting the travelling track characteristics of the geographical positions of the users and predicting the travelling route of the users;
the user internet behavior analysis module is used for calculating the user internet behavior data, the roaming internet behavior data of the user and the actual internet behavior data of other users at corresponding destinations, extracting the user internet behavior characteristics and predicting the internet access requirements of the user;
the regional operator network quality analysis module is used for analyzing the operator network quality of the specified region and returning a preferred operator network list to the operator subscription management module;
and the operator subscription management module is used for customizing an operator package list according to the predicted user internet surfing requirement and the predicted traveling destination and sending the operator package list to the service scheduling and processing module.
8. An intelligent network selection system based on user behavior is characterized by comprising a service processing server and roaming equipment, wherein,
the roaming equipment is used for the user to surf the internet, uploading the user internet behavior data to the service processing server, receiving the personalized operator data sent by the service processing server, and starting a corresponding flow package;
the business processing server is used for predicting the user internet surfing requirement according to the user internet surfing behavior, predicting the subsequent advancing destination of the user according to the collected user track data in the advancing process of the user, customizing the personalized operator package for the user in advance and issuing the personalized operator package to the roaming equipment, and comprises the following components:
the message gateway receives the data uploaded by the user roaming equipment and transmits the data to the service scheduling and processing module for processing; receiving data sent by the service scheduling and processing module, and sending the data to the user roaming equipment;
the service scheduling and processing module is used for controlling the user internet behavior analysis module to predict the internet access requirement of the user after the user reaches the destination and sending the user requirement to the operator subscription and reading management module; the network quality analysis module of the operator in the control area analyzes the network quality of the operator in the designated area and sends a preferred operator network list to the operator subscription management module; controlling an operator subscription management module to customize an operator package list according to the predicted user internet surfing requirement and destination;
the user path analysis module is used for calculating the travelling track data reported by the user roaming equipment and the travelling track data of other users at corresponding positions, extracting the travelling track characteristics of the geographical positions of the users and predicting the travelling route of the users;
the user internet behavior analysis module is used for calculating the user internet behavior data, extracting the user internet behavior characteristics and predicting the internet demand of the user;
the regional operator network quality analysis module is used for analyzing the operator network quality of the specified region and returning a preferred operator network list to the operator subscription management module;
and the operator subscription management module is used for customizing an operator package list according to the predicted user internet surfing requirement and the predicted traveling destination and sending the operator package list to the service scheduling and processing module.
9. The intelligent network selection system based on user behavior of claim 8, wherein the roaming device comprises a cell phone, a computer, MiFi or a locator.
10. The system according to any one of claims 8-9, wherein the roaming device comprises the following modules:
a) the user identity module is used for processing the communication network user identity information and roaming information, and comprises:
the communication base station information collector is used for recording corresponding change information when a base station connected with the equipment is changed;
the SIM personalized file controller is used for downloading, installing, enabling, disabling and deleting one or more operator personalized data according to the instruction of the service server;
the equipment data interaction gateway is used for interaction between the SIM personalized file controller and roaming equipment;
the SIM business processor is used for sending the roaming equipment and the SIM card user data to the business server and processing the data sent by the business server;
the safety communication gateway is used for communicating with the service server;
b) the equipment control module is used for roaming equipment information acquisition and control, receiving and responding to the request of the user identity module, and comprises:
the device controller is used for controlling the roaming device to carry out network speed limit, reset, restart and configuration file change;
the equipment information collector is used for collecting the position, the network state, the internet speed and the equipment state of the roaming equipment at regular time;
and the user interaction interface module is used for notifying the user of the information and receiving the user operation information.
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