CN116633823A - Different-network broadband user identification method, device, equipment and storage medium - Google Patents

Different-network broadband user identification method, device, equipment and storage medium Download PDF

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Publication number
CN116633823A
CN116633823A CN202310629555.1A CN202310629555A CN116633823A CN 116633823 A CN116633823 A CN 116633823A CN 202310629555 A CN202310629555 A CN 202310629555A CN 116633823 A CN116633823 A CN 116633823A
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China
Prior art keywords
broadband
preset
unit time
data set
data
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CN202310629555.1A
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Chinese (zh)
Inventor
赵伟
马宏果
蔡月清
李巍
孟宁
丁海滨
范琨
李贝
薛勇
姚森森
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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Priority to CN202310629555.1A priority Critical patent/CN116633823A/en
Publication of CN116633823A publication Critical patent/CN116633823A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876—Network utilisation, e.g. volume of load or congestion level
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2854—Wide area networks, e.g. public data networks
    • H04L12/2856—Access arrangements, e.g. Internet access
    • H04L12/2869—Operational details of access network equipments
    • H04L12/2878—Access multiplexer, e.g. DSLAM
    • H04L12/2887—Access multiplexer, e.g. DSLAM characterised by the offered subscriber services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/02—Capturing of monitoring data
    • H04L43/026—Capturing of monitoring data using flow identification
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Telephonic Communication Services (AREA)

Abstract

The application provides a method, a device, equipment and a storage medium for identifying different-network broadband users, wherein the method obtains mobile data flow and broadband flow of terminal equipment of a target user in a preset time period to obtain a first data set; according to a preset mobile data flow threshold value in unit time and a preset broadband flow threshold value in unit time, carrying out data screening processing on the first data set to obtain a second data set; and the second data set is subjected to target user normalization processing, and the normalized second data set is judged according to a mode recognition criterion to obtain the heterogeneous broadband user, so that the heterogeneous broadband user can be simply and rapidly screened out, the recognition accuracy is improved through the mode recognition criterion, and compared with the method requiring a training model in the prior art, the recognition step is simplified, and the implementation mode is simple.

Description

Different-network broadband user identification method, device, equipment and storage medium
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for identifying a broadband user of a different network.
Background
With the development of communication technology, broadband services have become standard for home users. With the advancement of network construction of operators, the network speed of broadband services is gradually increased, and in order to develop broadband services widely, it is required to identify the potential broadband requirements of users in mobile terminals, i.e. to find users with different bandwidths.
At present, in the prior art, a broadband user identification model can be determined by collecting user information of a single user of a local network and training by using a random forest classification algorithm, and a suspected broadband user is identified according to the broadband user identification model.
However, the method for identifying the different-network broadband user in the prior art is complex to realize, and the accuracy of identifying the different-network broadband user is low.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for identifying a broadband user of a different network, thereby solving the technical problems that the method for identifying the broadband user of the different network in the prior art is complex to realize and the accuracy of identifying the broadband user of the different network is low.
In a first aspect, the present application provides a method for identifying broadband subscribers of a heterogeneous network, including:
acquiring mobile data flow and broadband flow of terminal equipment of a target user in a preset time period to obtain a first data set;
according to a preset mobile data flow threshold value in unit time and a preset broadband flow threshold value in unit time, carrying out data screening processing on the first data set to obtain a second data set;
and carrying out normalization processing on the second data set by the target user, and judging the normalized second data set according to a mode identification criterion to obtain the heterogeneous network broadband user.
In order to realize the identification of the different-network broadband users, the method firstly acquires the mobile data flow and the broadband flow of the corresponding terminal equipment in the preset time end aiming at the target user, can simply and rapidly screen the different-network broadband users through screening and normalization processing of the mobile data flow and the broadband flow in the preset time end, improves the identification accuracy through a mode identification criterion, and simplifies the identification step and has simple implementation mode compared with the method requiring a training model in the prior art.
Optionally, the data screening processing is performed on the first data set according to a preset mobile data flow threshold in unit time and a preset broadband flow threshold in unit time to obtain a second data set, which includes:
according to the first data set, determining the mobile data flow of the target user in unit time and the broadband flow of the target user in unit time in a preset time period;
and if the mobile data flow of the target user in unit time is larger than a preset mobile data flow threshold in unit time and the broadband flow of the target user in unit time is smaller than a preset broadband flow threshold in unit time, adding the mobile data flow and the broadband flow of the target user in a preset time period to a second data set.
The application determines whether to add the data corresponding to the user into the second data set corresponding to the different-network broadband user through the preset unit time mobile data flow threshold and the preset unit time broadband flow threshold, if the unit time mobile data flow of the target user is larger than the preset unit time mobile data flow threshold and the unit time broadband flow is smaller than the preset unit time broadband flow threshold, the target user can be judged to surf the internet mostly through mobile data and use fewer broadband, thereby determining that the user is the different-network broadband user, comparing the two data, and further improving the identification accuracy of the different-network broadband user.
Optionally, before the data screening processing is performed on the first data set according to the preset mobile data flow threshold in unit time and the preset broadband flow threshold in unit time to obtain the second data set, the method further includes:
classifying application programs in the terminal equipment of the target user to obtain at least one application type; determining a preset class unit time mobile data flow threshold value and a preset class unit time broadband flow threshold value corresponding to each application type;
Correspondingly, the step of performing data screening processing on the first data set according to the preset mobile data flow threshold in unit time and the preset broadband flow threshold in unit time to obtain a second data set includes:
performing application type classification processing on the data in the first data set to obtain at least one application classification data set; determining a preset class unit time mobile data flow threshold and a preset class unit time broadband flow threshold according to the application type corresponding to the data in the application classification data set; and carrying out data screening processing on the classified data set according to the preset class unit time mobile data flow threshold and the preset class unit time broadband flow threshold to obtain a second data set.
Optionally, the determining the preset category unit time mobile data traffic threshold and the preset category unit time broadband traffic threshold corresponding to each application type includes:
acquiring historical flow data of the target user; determining a preference ranking of the target user for each application type according to the historical traffic data; and determining a preset category unit time mobile data flow threshold value and a preset category unit time broadband flow threshold value corresponding to each application type according to the preference ordering.
In order to accurately identify the heterogeneous network broadband user, the method and the device firstly classify the application programs on the terminal equipment of the user, and determine different preset category unit time mobile data flow thresholds and preset category unit time broadband flow thresholds corresponding to different categories according to the application programs of different categories, so that mobile data and broadband use conditions of the user can be more accurately determined according to the use preference of the user, the behavior characteristics of the user are fully combined, and further accurate heterogeneous network broadband user identification is performed.
Optionally, the obtaining the mobile data traffic and the broadband traffic of the terminal device of the target user in the preset time period to obtain the first data set includes:
and bypassing the mirror image flow in the backbone network of the operator, and carrying out deep packet detection analysis on the flow on the terminal equipment of the mirror image target user to obtain a first data set.
The application obtains the mobile data flow and the broadband flow of the terminal equipment of the target user in a preset time period by bypassing the mirror image flow in the backbone network of the operator and carrying out the deep packet detection analysis on the flow on the terminal equipment of the target user of the mirror image, thereby accurately and comprehensively obtaining the network data of the user, having simple obtaining mode, improving the accuracy and the efficiency of identifying the broadband user of the different network and having simple operation.
Optionally, after the normalizing processing of the target user is performed on the second data set and the normalized second data set is judged according to the pattern recognition criterion, the method further includes:
and sending information to the terminal equipment of the different-network broadband user.
After determining that the target user is the heterogeneous broadband user, the method and the device can send information to the terminal equipment of the user so that the user can know the broadband information, a reasonable and feasible broadband scheme is provided for the user, and user experience is further improved.
In a second aspect, the present application provides an apparatus for identifying broadband subscribers of a heterogeneous network, including:
the acquisition module is used for acquiring mobile data flow and broadband flow of the terminal equipment of the target user in a preset time period to obtain a first data set;
the first processing module is used for carrying out data screening processing on the first data set according to a preset unit time mobile data flow threshold and a preset unit time broadband flow threshold to obtain a second data set;
and the second processing module is used for carrying out normalization processing on the second data set by the target user, judging the normalized second data set according to a mode identification criterion and obtaining the heterogeneous network broadband user.
Optionally, the first processing module is specifically configured to:
according to the first data set, determining the mobile data flow of the target user in unit time and the broadband flow of the target user in unit time in a preset time period;
and if the mobile data flow of the target user in unit time is larger than a preset mobile data flow threshold in unit time and the broadband flow of the target user in unit time is smaller than a preset broadband flow threshold in unit time, adding the mobile data flow and the broadband flow of the target user in a preset time period to a second data set.
Optionally, before the first processing module performs data screening processing on the first data set according to a preset mobile data flow threshold in unit time and a preset broadband flow threshold in unit time to obtain a second data set, the apparatus further includes:
the application classification module is used for classifying application programs in the terminal equipment of the target user to obtain at least one application type;
the threshold value determining module is used for determining a preset category unit time mobile data flow threshold value and a preset category unit time broadband flow threshold value corresponding to each application type;
correspondingly, the first processing module is specifically configured to:
Performing application type classification processing on the data in the first data set to obtain at least one application classification data set; determining a preset class unit time mobile data flow threshold and a preset class unit time broadband flow threshold according to the application type corresponding to the data in the application classification data set; and carrying out data screening processing on the classified data set according to the preset class unit time mobile data flow threshold and the preset class unit time broadband flow threshold to obtain a second data set.
Optionally, the threshold determining module is specifically configured to:
acquiring historical flow data of the target user;
determining a preference ranking of the target user for each application type according to the historical traffic data;
and determining a preset category unit time mobile data flow threshold value and a preset category unit time broadband flow threshold value corresponding to each application type according to the preference ordering.
Optionally, the acquiring module is specifically configured to:
and bypassing the mirror image flow in the backbone network of the operator, and carrying out deep packet detection analysis on the flow on the terminal equipment of the mirror image target user to obtain a first data set.
Optionally, after the second processing module performs normalization processing on the second data set for the target user, and determines the normalized second data set according to a pattern recognition criterion, the apparatus further includes:
and the sending module is used for sending information to the terminal equipment of the heterogeneous network broadband user.
In a third aspect, the present application provides a heterogeneous broadband user identification device, including: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executes the computer-executable instructions stored by the memory, causing the at least one processor to perform the method of heterogeneous network broadband subscriber identification as described above in the first aspect and the various possible designs of the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium, in which computer executable instructions are stored, which when executed by a processor, implement the method for identifying broadband subscribers over a heterogeneous network according to the first aspect and the various possible designs of the first aspect.
In a fifth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the method of identifying broadband subscribers to a foreign network according to the first aspect and the various possible designs of the first aspect.
The method, the device, the equipment and the storage medium for identifying the heterogeneous network broadband user, provided by the application, are used for identifying the heterogeneous network broadband user, aiming at the target user, firstly, the mobile data flow and the broadband flow of the corresponding terminal equipment in the preset time end are acquired, the heterogeneous network broadband user can be simply and rapidly screened out through screening and normalization processing of the mobile data flow and the broadband flow in the preset time end, and the accuracy of identification is improved through a mode identification criterion.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the application, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a schematic diagram of an architecture of a broadband subscriber identity system of a heterogeneous network according to an embodiment of the present application;
Fig. 2 is a schematic flow chart of a method for identifying broadband subscribers of a different network according to an embodiment of the present application;
fig. 3 is a schematic flow chart of another method for identifying broadband subscribers of different networks according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an apparatus for identifying broadband subscribers of a different network according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a heterogeneous network broadband subscriber identity device according to an embodiment of the present application.
Specific embodiments of the present disclosure have been shown by way of the above drawings and will be described in more detail below. These drawings and the written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the disclosed concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
The terms "first," "second," "third," and "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or fully authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region, and provide corresponding operation entries for the user to select authorization or rejection.
Operator subscribers can be classified into subscribers handling home network broadband and heterogeneous network broadband subscribers handling other operator broadband in terms of broadband usage. Identifying different broadband users can help operators to know the user composition in more detail, providing different demand schemes for different users. At present, in the prior art, a broadband user identification model can be determined by collecting user information of a single user of a local network and training by using a random forest classification algorithm, and a suspected broadband user is identified according to the broadband user identification model. In summary, the method for identifying the broadband users of the different networks in the prior art is complex to implement, and the accuracy of identifying the broadband users of the different networks is low.
In order to solve the above problems, embodiments of the present application provide a method, an apparatus, a device, and a storage medium for identifying a broadband user of a heterogeneous network, where the method first obtains, for a target user, mobile data traffic and broadband traffic of a corresponding terminal device in a preset time, and can simply and quickly screen the broadband user of the heterogeneous network by screening and normalizing the mobile data traffic and the broadband traffic in the preset time.
Optionally, fig. 1 is a schematic diagram of an architecture of a heterogeneous broadband subscriber identity system according to an embodiment of the present application. In fig. 1, the above architecture includes at least one of a data acquisition device 101, a processing device 102, and a display device 103.
It will be appreciated that the architecture illustrated in the embodiments of the present application does not constitute a specific limitation on the architecture of the heterogeneous broadband subscriber identification system. In other possible embodiments of the present application, the architecture may include more or less components than those illustrated, or some components may be combined, some components may be split, or different component arrangements may be specifically determined according to the actual application scenario, and the present application is not limited herein. The components shown in fig. 1 may be implemented in hardware, software, or a combination of software and hardware.
In a specific implementation process, the data acquisition device 101 may include an input/output interface, or may include a communication interface, where the data acquisition device 101 may be connected to a terminal device through the input/output interface or the communication interface.
The processing device 102 may acquire the mobile data flow and the broadband flow of the terminal device of the target user in the preset time period acquired by the data acquisition device 101, so as to obtain a first data set; according to a preset mobile data flow threshold value in unit time and a preset broadband flow threshold value in unit time, carrying out data screening processing on the first data set to obtain a second data set; and carrying out normalization processing on the second data set by the target user, and judging the normalized second data set according to a pattern recognition criterion to obtain the heterogeneous network broadband user.
The display device 103 may be used to display the above results or the like, or may interact with the user through a display apparatus. The display device 103 may be a user terminal, a terminal device, a user terminal of a worker, a server, or the like.
The display device 103 may also be a touch display screen for receiving user instructions while displaying the above content to enable interaction with a user.
It will be appreciated that the processing device described above may be implemented by a processor reading instructions in a memory and executing the instructions, or by a chip circuit.
It will be appreciated that the architecture illustrated in the embodiments of the present application does not constitute a specific limitation on the architecture of the heterogeneous broadband subscriber identification system. In other possible embodiments of the present application, the architecture may include more or less components than those illustrated, or some components may be combined, some components may be split, or different component arrangements may be specifically determined according to the actual application scenario, and the present application is not limited herein. The components shown in fig. 1 may be implemented in hardware, software, or a combination of software and hardware.
It will be appreciated that the processing device described above may be implemented by a processor reading instructions in a memory and executing the instructions, or by a chip circuit.
In addition, the network architecture and the service scenario described in the embodiments of the present application are for more clearly describing the technical solution of the embodiments of the present application, and do not constitute a limitation on the technical solution provided by the embodiments of the present application, and as a person of ordinary skill in the art can know, with evolution of the network architecture and occurrence of a new service scenario, the technical solution provided by the embodiments of the present application is also applicable to similar technical problems.
The following describes the technical scheme of the present application in detail with reference to specific examples:
optionally, fig. 2 is a schematic flow chart of a method for identifying broadband users of different networks according to an embodiment of the present application. The execution body of the embodiment of the present application may be the processing device 102 in fig. 1, and the specific execution body may be determined according to an actual application scenario. As shown in fig. 2, the method comprises the steps of:
s201: and acquiring the mobile data flow and the broadband flow of the terminal equipment of the target user in a preset time period to obtain a first data set.
Optionally, obtaining the mobile data traffic and the broadband traffic of the terminal device of the target user in a preset time period to obtain a first data set includes: and bypassing the mirror image flow in the backbone network of the operator, and carrying out deep packet detection analysis on the flow on the terminal equipment of the mirror image target user to obtain a first data set.
In one possible implementation, the operator backbone network bypasses the mirror traffic, and performs DPI (Deep Packet Inspection ) analysis on the hypertext transfer protocol (Hyper Text Transfer Protocol, HTTP) traffic of the mirror mobile phone internet User, extracts a unique identification code (Mobile Subscriber International ISDN/PSTN number, MSISDN), a uniform resource locator (Uniform Resource Locator, URL), an internet protocol (Internet Protocol, IP) port, data (COOKIE) stored on the User local terminal, a User Agent (User-Agent, UA), a timestamp, and other information, and further correlates the MSISDN, application (APP) name, APP upstream and downstream traffic, APP upstream and downstream Radio Transmission Technology (RTT) delay, transmission control protocol (Transmission Control Protocol, TCP) secondary handshake delay, TCP tertiary handshake delay, and the like, and stores the information in the memory.
The mobile network comprises 234G wireless network and core network interfaces, and at least comprises Gb, iu-PS, S1-MME, S1-U, S5/S8 and SGs interfaces.
Specifically, mirror traffic is bypassed In the operator backbone network, and HTTP traffic multi-interface detailed records (XDR), network address translation (network address translation, NAT) ticket and remote authentication dial-up User Service (Remote Authentication Dial-In User Service, radius) ticket of the mirror, APP Type, APP Sub-Type, UL/DL Data, TCP link establishment response delay (MS), TCP link establishment acknowledgement delay (MS), first HTTP response packet delay (MS), last HTTP content packet delay (MS), last ACK acknowledgement packet delay (MS), on-line and off-line authentication information are extracted, including time, user account, open bandwidth, private IP address, user start/end time, private network translation IP address, port number and destination address port number, and the like, and stored In the memory.
The carrier backbone network bypasses mirror image traffic, and the fixed network comprises an interconnection and interworking outlet, a metropolitan area network outlet, an inter-provincial outlet, a metropolitan area backbone network outlet and an Internet data center (Internet Data Center, IDC) outlet.
According to the embodiment of the application, the mobile data flow and the broadband flow of the terminal equipment of the target user in the preset time period are obtained by bypassing the mirror image flow in the backbone network of the operator and carrying out the deep packet detection analysis on the flow on the terminal equipment of the target user of the mirror image, so that the network data of the user is accurately and comprehensively obtained, the obtaining mode is simple, the accuracy and the efficiency of identifying the broadband user of the different networks are improved, and the operation is simple.
S202: and carrying out data screening processing on the first data set according to the preset mobile data flow threshold in unit time and the preset broadband flow threshold in unit time to obtain a second data set.
Optionally, according to a preset moving data flow threshold in unit time and a preset broadband flow threshold in unit time, performing data screening processing on the first data set to obtain a second data set, including:
according to the first data set, determining the mobile data flow of the target user in unit time and the broadband flow of the target user in unit time in a preset time period; and if the mobile data flow of the target user in unit time is larger than the preset mobile data flow threshold in unit time and the broadband flow of the target user in unit time is smaller than the preset broadband flow threshold in unit time, adding the mobile data flow and the broadband flow of the target user in the preset time period to the second data set.
It will be appreciated that the moving data flow rate threshold per unit time and the preset wideband flow rate threshold per unit time may be determined according to practical situations, which is not particularly limited in the embodiment of the present application.
The embodiment of the application determines whether to add the data corresponding to the user into the second data set corresponding to the different-network broadband user through the preset unit time mobile data flow threshold and the preset unit time broadband flow threshold, and if the unit time mobile data flow of the target user is larger than the preset unit time mobile data flow threshold and the unit time broadband flow is smaller than the preset unit time broadband flow threshold, the target user can be judged to surf the internet mostly through mobile data and uses fewer broadband, so that the user can be determined to be the different-network broadband user, and the accuracy of identifying the different-network broadband user is further improved by comparing the two data.
S203: and carrying out normalization processing on the second data set by the target user, and judging the normalized second data set according to a pattern recognition criterion to obtain the heterogeneous network broadband user.
Optionally, normalizing the target user, the mobile data flow and the broadband flow in a preset time period for the second data set, meeting the periodic statistics P/N judgment, outputting a home heterogeneous broadband user list, and storing in a memory.
In order to realize the identification of the different-network broadband users, the embodiment of the application firstly obtains the mobile data flow and the broadband flow of the corresponding terminal equipment in the preset time end aiming at the target user, can simply and rapidly screen the different-network broadband users through screening and normalization processing of the mobile data flow and the broadband flow in the preset time end, improves the identification accuracy through the mode identification criterion, and simplifies the identification step and has simple implementation mode compared with the method requiring a training model in the prior art.
Optionally, after performing normalization processing on the target user on the second data set and judging the normalized second data set according to a pattern recognition criterion to obtain the heterogeneous network broadband user, the method further includes: and sending information to the terminal equipment of the heterogeneous network broadband user.
Alternatively, after the heterogeneous network broadband user is obtained, the heterogeneous network broadband user can be listed to the terminal equipment of the operator staff.
After determining that the target user is the heterogeneous broadband user, the embodiment of the application can send information to the terminal equipment of the user so that the user can know the broadband information, a reasonable and feasible broadband scheme is provided for the user, and the user experience is further improved.
Optionally, the embodiment of the present application may further accurately identify the user according to the preference of the user for different types of APP, and accordingly, fig. 3 is a schematic flow diagram of another method for identifying a broadband user of a heterogeneous network according to the embodiment of the present application, as shown in fig. 3, where the method includes:
s301: and acquiring the mobile data flow and the broadband flow of the terminal equipment of the target user in a preset time period to obtain a first data set.
S302: and classifying the application programs in the terminal equipment of the target user to obtain at least one application type.
S303: and determining a preset class unit time mobile data flow threshold value and a preset class unit time broadband flow threshold value corresponding to each application type.
Optionally, determining the preset class unit time mobile data traffic threshold and the preset class unit time broadband traffic threshold corresponding to each application type includes:
acquiring historical flow data of a target user; determining preference ordering of the target user for each application type according to the historical flow data; and determining a preset class unit time mobile data flow threshold value and a preset class unit time broadband flow threshold value corresponding to each application type according to the preference ordering.
S304: and carrying out application type classification processing on the data in the first data set to obtain at least one application classification data set.
S305: and determining a preset class unit time mobile data flow threshold and a preset class unit time broadband flow threshold according to the application type corresponding to the data in the application classification data set.
S306: and carrying out data screening processing on the classified data set according to the preset class unit time mobile data flow threshold and the preset class unit time broadband flow threshold to obtain a second data set.
S307: and carrying out normalization processing on the second data set by the target user, and judging the normalized second data set according to a pattern recognition criterion to obtain the heterogeneous network broadband user.
In one possible implementation, the APP major class may include a network (WEB), a short video, and a hand-play three major entertainment major class APP. Optionally: the instant messaging APP has dual attributes of work and leisure at the same time, so that APP statistics is not included.
The related indexes of the APP major class comprise MSISDN, APP major class identification, APP name, uplink and downlink flow per unit time, service start time and duration.
The duration of each APP is obtained through conversion of the sum of uplink and downlink flow of the APP in unit time. The duration of each APP major class is obtained through conversion of the sum of uplink and downlink flow of each APP in the APP major class in unit time.
Specifically, taking the WEB software A as an example, removing pages with the page size of 50KB, wherein the word page size is 1MB on average, each page is watched for 5 minutes, and assuming that a user cumulatively watches for 30 minutes in unit hour, the total uplink and downlink flow of the user software A is 6MB.
Specifically, taking short video software B as an example, if the APP code rate is 480P at most, the average download rate is 5MB, and each short video is watched for 3 minutes on average, wherein the full speed download is 1 minute. Assuming that the user views software B cumulatively for 20 minutes per hour, the total upstream and downstream flows are about 50MB.
Specifically, taking the hand-tour software C as an example, the APP lasts for 0.5 hours on average in one office, 20 documents are stored in the first data set, and if the user accumulates 50 documents in one hour, the user software C lasts for 1 hour.
The preset value satisfies one of the following criteria: the WEB class threshold is 6MB in unit hour, the hand-tour class threshold is 50 times, and the short video class threshold is 50MB.
And the APP category, the corresponding APP name and the preset value are dynamically adjusted according to the user permeability and DPI setting capacity obtained by DPI analysis.
The preset time period is dynamically adjusted in combination with the user behavior, for example, the preset time period of the mobile phone internet surfing user is 08:00-22:00, the preset time period of the broadband internet surfing user is 23:00-06:00.
In order to accurately identify the heterogeneous network broadband user, the embodiment of the application firstly classifies the application programs on the terminal equipment of the user, and determines different preset category unit time mobile data flow thresholds and preset category unit time broadband flow thresholds corresponding to different categories according to the application programs of different categories, so that the mobile data and broadband service conditions of the user can be more accurately determined according to the use preference of the user, the behavior characteristics of the user are fully combined, and further accurate heterogeneous network broadband user identification is performed.
Fig. 4 is a schematic structural diagram of an apparatus for identifying broadband subscribers of a different network according to an embodiment of the present application, where, as shown in fig. 4, the apparatus according to an embodiment of the present application includes: an acquisition module 401, a first processing module 402 and a second processing module 403. The heterogeneous broadband subscriber identity device may be the processing device 102 itself in fig. 1 described above, or a chip or integrated circuit implementing the functions of the processing device 102, or a server. It should be noted that, the division of the acquisition module 401, the first processing module 402, and the second processing module 403 is just a division of a logic function, and both may be integrated or independent physically.
The acquisition module is used for acquiring mobile data flow and broadband flow of the terminal equipment of the target user in a preset time period to obtain a first data set;
the first processing module is used for carrying out data screening processing on the first data set according to a preset unit time mobile data flow threshold and a preset unit time broadband flow threshold to obtain a second data set;
and the second processing module is used for carrying out normalization processing on the target user on the second data set, judging the normalized second data set according to the pattern recognition criterion, and obtaining the heterogeneous network broadband user.
Optionally, the first processing module is specifically configured to:
according to the first data set, determining the mobile data flow of the target user in unit time and the broadband flow of the target user in unit time in a preset time period;
and if the mobile data flow of the target user in unit time is larger than the preset mobile data flow threshold in unit time and the broadband flow of the target user in unit time is smaller than the preset broadband flow threshold in unit time, adding the mobile data flow and the broadband flow of the target user in the preset time period to the second data set.
Optionally, before the first processing module performs data screening processing on the first data set according to the preset mobile data flow threshold in unit time and the preset broadband flow threshold in unit time to obtain the second data set, the apparatus further includes:
The application classification module is used for classifying application programs in the terminal equipment of the target user to obtain at least one application type;
the threshold value determining module is used for determining a preset category unit time mobile data flow threshold value and a preset category unit time broadband flow threshold value corresponding to each application type;
correspondingly, the first processing module is specifically configured to:
performing application type classification processing on the data in the first data set to obtain at least one application classification data set; determining a preset class unit time mobile data flow threshold and a preset class unit time broadband flow threshold according to the application type corresponding to the data in the application classification data set; and carrying out data screening processing on the classified data set according to the preset class unit time mobile data flow threshold and the preset class unit time broadband flow threshold to obtain a second data set.
Optionally, the threshold determining module is specifically configured to:
acquiring historical flow data of a target user;
determining preference ordering of the target user for each application type according to the historical flow data;
and determining a preset class unit time mobile data flow threshold value and a preset class unit time broadband flow threshold value corresponding to each application type according to the preference ordering.
Optionally, the obtaining module is specifically configured to:
and bypassing the mirror image flow in the backbone network of the operator, and carrying out deep packet detection analysis on the flow on the terminal equipment of the mirror image target user to obtain a first data set.
Optionally, after the second processing module performs normalization processing on the second data set for the target user, and determines the normalized second data set according to the pattern recognition criterion, the apparatus further includes:
and the sending module is used for sending information to the terminal equipment of the heterogeneous network broadband user.
Referring to fig. 5, a schematic diagram of a heterogeneous broadband subscriber identification device 500 suitable for use in implementing embodiments of the present disclosure is shown, where the heterogeneous broadband subscriber identification device 500 may be a terminal device or a server. The heterogeneous broadband user identification device 500 may be a terminal device or a server. The terminal device may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a personal digital assistant (Personal Digital Assistant, PDA for short), a tablet (Portable Android Device, PAD for short), a portable multimedia player (Portable Media Player, PMP for short), an in-vehicle terminal (e.g., an in-vehicle navigation terminal), and the like, and a fixed terminal such as a digital TV, a desktop computer, and the like. The heterogeneous broadband subscriber identification device illustrated in fig. 5 is only one example and should not be construed as limiting the functionality and scope of use of the disclosed embodiments.
As shown in fig. 5, the heterogeneous broadband user recognition apparatus 500 may include a processing device (e.g., a central processor, a graphic processor, etc.) 501 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage device 508 into a random access Memory (Random Access Memory, RAM) 503. In the RAM 503, various programs and data required for the operation of the heterogeneous broadband user recognition apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
In general, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (Liquid Crystal Display, abbreviated as LCD), a speaker, a vibrator, and the like; storage 508 including, for example, magnetic tape, hard disk, etc.; and communication means 509. The communication means 509 may allow the foreign broadband user identification device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates a heterogeneous network broadband subscriber identification device 500 having various means, it should be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 509, or from the storage means 508, or from the ROM 502. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 501.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The computer readable medium may be comprised in the heterogeneous broadband subscriber identity device; or may exist alone without being assembled into the heterogeneous broadband subscriber identity device.
The computer readable medium carries one or more programs which, when executed by the foreign broadband subscriber identification device, cause the foreign broadband subscriber identification device to perform the method shown in the above embodiment.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a local area network (Local Area Network, LAN for short) or a wide area network (Wide Area Network, WAN for short), or it may be connected to an external computer (e.g., connected via the internet using an internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The name of the unit does not in any way constitute a limitation of the unit itself, for example the first acquisition unit may also be described as "unit acquiring at least two internet protocol addresses".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The heterogeneous network broadband user identification device of the embodiment of the application can be used for executing the technical scheme of the method embodiments of the application, and the implementation principle and the technical effect are similar, and are not repeated here.
The embodiment of the application also provides a computer readable storage medium, wherein computer executable instructions are stored in the computer readable storage medium, and the computer executable instructions are used for realizing the data processing method of any one of the above when being executed by a processor.
The embodiment of the application also provides a computer program product, which comprises a computer program, wherein the computer program is used for realizing the data processing method of any one of the above steps when being executed by a processor.
In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (10)

1. The method for identifying the different-network broadband user is characterized by comprising the following steps of:
Acquiring mobile data flow and broadband flow of terminal equipment of a target user in a preset time period to obtain a first data set;
according to a preset mobile data flow threshold value in unit time and a preset broadband flow threshold value in unit time, carrying out data screening processing on the first data set to obtain a second data set;
and carrying out normalization processing on the second data set by the target user, and judging the normalized second data set according to a mode identification criterion to obtain the heterogeneous network broadband user.
2. The method of claim 1, wherein the performing a data filtering process on the first data set according to the preset moving data flow threshold per unit time and the preset broadband flow threshold per unit time to obtain a second data set includes:
according to the first data set, determining the mobile data flow of the target user in unit time and the broadband flow of the target user in unit time in a preset time period;
and if the mobile data flow of the target user in unit time is larger than a preset mobile data flow threshold in unit time and the broadband flow of the target user in unit time is smaller than a preset broadband flow threshold in unit time, adding the mobile data flow and the broadband flow of the target user in a preset time period to a second data set.
3. The method of claim 1, further comprising, prior to said moving the data traffic threshold value per a preset unit time and the broadband traffic threshold value per a preset unit time, performing a data filtering process on the first data set to obtain a second data set:
classifying application programs in the terminal equipment of the target user to obtain at least one application type;
determining a preset class unit time mobile data flow threshold value and a preset class unit time broadband flow threshold value corresponding to each application type;
correspondingly, the step of performing data screening processing on the first data set according to the preset mobile data flow threshold in unit time and the preset broadband flow threshold in unit time to obtain a second data set includes:
performing application type classification processing on the data in the first data set to obtain at least one application classification data set;
determining a preset class unit time mobile data flow threshold and a preset class unit time broadband flow threshold according to the application type corresponding to the data in the application classification data set;
and carrying out data screening processing on the classified data set according to the preset class unit time mobile data flow threshold and the preset class unit time broadband flow threshold to obtain a second data set.
4. A method according to claim 3, wherein determining the preset category unit time mobile data traffic threshold and the preset category unit time broadband traffic threshold for each application type comprises:
acquiring historical flow data of the target user;
determining a preference ranking of the target user for each application type according to the historical traffic data;
and determining a preset category unit time mobile data flow threshold value and a preset category unit time broadband flow threshold value corresponding to each application type according to the preference ordering.
5. The method according to any one of claims 1 to 4, wherein the obtaining mobile data traffic and broadband traffic of the terminal device of the target user in a preset period of time, to obtain the first data set, includes:
and bypassing the mirror image flow in the backbone network of the operator, and carrying out deep packet detection analysis on the flow on the terminal equipment of the mirror image target user to obtain a first data set.
6. The method of claim 5, further comprising, after said normalizing the second data set by the target user and determining the normalized second data set according to a pattern recognition criterion, obtaining a broadband user with an off-network:
And sending information to the terminal equipment of the different-network broadband user.
7. A heterogeneous network broadband subscriber identification device, comprising:
the acquisition module is used for acquiring mobile data flow and broadband flow of the terminal equipment of the target user in a preset time period to obtain a first data set;
the first processing module is used for carrying out data screening processing on the first data set according to a preset unit time mobile data flow threshold and a preset unit time broadband flow threshold to obtain a second data set;
and the second processing module is used for carrying out normalization processing on the second data set by the target user, judging the normalized second data set according to a mode identification criterion and obtaining the heterogeneous network broadband user.
8. A heterogeneous network broadband subscriber identification device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the heterogeneous network broadband user identification method of any one of claims 1 to 6.
9. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are for implementing the heterogeneous network broadband user identification method according to any of claims 1 to 6.
10. A computer program product comprising a computer program which, when executed by a processor, implements the method of heterogeneous broadband user identification of any of claims 1 to 6.
CN202310629555.1A 2023-05-30 2023-05-30 Different-network broadband user identification method, device, equipment and storage medium Pending CN116633823A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116886571A (en) * 2023-09-07 2023-10-13 武汉博易讯信息科技有限公司 Analysis method, equipment and computer readable medium for home broadband user

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116886571A (en) * 2023-09-07 2023-10-13 武汉博易讯信息科技有限公司 Analysis method, equipment and computer readable medium for home broadband user
CN116886571B (en) * 2023-09-07 2023-11-21 武汉博易讯信息科技有限公司 Analysis method, equipment and computer readable medium for home broadband user

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