CN115988474A - Overhead user identification method, device, electronic equipment and storage medium - Google Patents
Overhead user identification method, device, electronic equipment and storage medium Download PDFInfo
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Abstract
According to the overhead user identification method, the device, the electronic equipment and the storage medium, the XDR external data is obtained, the communication travel track of the user is determined according to the XDR external data, the contact ratio of the communication travel track of the user and each overhead road section in an overhead road section fingerprint library is judged, and if the contact ratio of the user is higher than a first threshold value, the user is an overhead user. The data resources are enriched by operators, the elevated road network is automatically analyzed and processed through a platform, the processing efficiency and accuracy of elevated user identification are improved, and the development of intelligent network optimization work is supported.
Description
Technical Field
The present application relates to communications technologies, and in particular, to an overhead subscriber identification method, apparatus, system, electronic device, and storage medium.
Background
With the establishment of elevated roads and the development of communication network technology, urban interchange traffic networks are in force. The demand of users on the elevated road network is higher and higher, the elevated users are accurately identified and then the multidimensional sensing data of the elevated users are utilized to find out network problem points, and the network is sequentially improved so as to meet the demand of the users.
In the prior art, GPS satellite positioning is generally adopted, that is, the altitude of the satellite positioning is used to distinguish whether the vehicle is an overhead user, or an overhead user identification technology based on image retrieval, that is, the position of the vehicle is determined according to a road camera, so as to determine the overhead user.
However, the measured height error of the multipath effect existing in the GPS technology is significantly higher than the plane error, and it is impossible to accurately distinguish whether the user is on an elevated road or a ground road; based on image retrieval identification of overhead users, a background needs to shoot and store a large number of overhead road pictures, and the equipment has high computing power requirement and low efficiency.
Disclosure of Invention
The application provides an elevated user identification method, an elevated user identification device, electronic equipment and a storage medium, which are used for solving the problems that a large amount of manpower is required to be consumed for data processing in an elevated road network and the data processing is not accurate enough.
In a first aspect, the present application provides an overhead subscriber identification method, comprising:
obtaining XDR external data, and determining a communication travel track of a user according to the XDR external data;
judging the contact ratio of the communication travel track of the user and each elevated road section in an elevated road section fingerprint library;
and if the contact ratio of the user is higher than a first threshold value, the user is an elevated user.
In a second aspect, the present application provides an overhead subscriber identity device, comprising:
the acquisition module is used for acquiring XDR external data and determining a communication travel track of a user according to the XDR external data;
and the judging module is used for judging the contact ratio of the communication travel track of the user and each elevated road section in an elevated road section fingerprint library, and if the contact ratio of the user is higher than a first threshold value, the user is an elevated user.
In a third aspect, the present application provides an electronic device, comprising:
at least one processor; and
a memory;
the memory stores computer-executable instructions;
the at least one processor executing the memory-stored computer-executable instructions causes the at least one processor to perform implementing the method of any one of the preceding claims.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, implement a method as in any of the preceding claims.
In a fifth aspect, a computer program product comprises a computer program which, when executed by a processor, performs the method as in any one of the preceding claims.
According to the overhead user identification method, the device, the electronic equipment and the storage medium, the XDR external data is obtained, the communication travel track of the user is determined according to the XDR external data, the contact ratio of the communication travel track of the user and each overhead road section in an overhead road section fingerprint library is judged, and if the contact ratio of the user is higher than a first threshold value, the user is an overhead user. The data resources are enriched by operators, the elevated road network is automatically analyzed and processed through a platform, the processing efficiency and accuracy of elevated user identification are improved, and the development of intelligent network optimization work is supported.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and, together with the description, serve to explain the principles of the application.
FIG. 1 is a schematic diagram of a network architecture on which the present application is based;
FIG. 2 is a schematic flow chart of an overhead subscriber identification method provided herein;
FIG. 3 is a schematic diagram of an overhead subscriber identity module provided herein;
FIG. 4 is a schematic diagram of another overhead subscriber identity module provided herein;
FIG. 5 is a schematic diagram of an elevated road segment fingerprint library provided by the present application;
fig. 6 is a schematic diagram of a hardware structure of an electronic device provided in the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the appended claims.
With the establishment of elevated roads and the development of communication network technology, urban interchange traffic networks develop rapidly, the experience requirements of users on the traffic road networks are higher and higher, and especially for the elevated road networks, how to determine elevated users so as to perfect the network on the road where the elevated users are located becomes a hotspot of current research in the field.
In the prior art, network data of an overhead communication road is generally processed by adopting a GPS (global positioning system) positioning technology, namely whether an overhead user is located is distinguished by utilizing altitude at which a satellite is positioned to a user terminal device; the method comprises the steps of identifying an elevated user based on image retrieval, namely acquiring the current position of a vehicle based on an image retrieval technology, shooting a picture of a road where the vehicle is located when the vehicle approaches or arrives at an elevated entrance/exit, comparing the shot picture with the picture of the existing elevated road, and judging whether the vehicle is on the elevated road or not according to the comparison result.
However, in the GPS positioning technology, due to the multipath effect, that is, due to the existence of an obstacle blocking a signal, the signal reception is not accurate enough, that is, under an overpass, the calculation of the GPS altitude under the overpass is completely deviated from an ideal condition due to a severe shielding, and an overpass user cannot be accurately judged; the method for identifying the elevated users based on image retrieval requires a large amount of elevated road pictures stored in the system, and has high requirements on the computing capacity of equipment, which results in low identification efficiency.
Aiming at the technical problem, the inventor considers that abundant Data resources of operators can be utilized, namely XDR (extended Data Record) external Data is utilized, corresponding screening and combination are carried out on the external Data, the passing travel track of a user is obtained, then the communication travel track is matched and compared with an elevated road section fingerprint library, and meanwhile, in order to improve the judgment accuracy, the user with a matching result meeting a certain threshold value is determined as an elevated user.
Specifically, according to the method for processing elevated road data provided by the application, XDR external data is acquired, a communication travel track of a user is determined according to the XDR external data, the contact ratio between the communication travel track of the user and each elevated road section in an elevated road section fingerprint library is judged, and if the contact ratio of the user is higher than a first threshold value, the user is an elevated user. The data resources are enriched by operators, the elevated road network is automatically analyzed and processed through a platform, the processing efficiency and accuracy of elevated user identification are improved, and the development of intelligent network optimization work is supported.
The following describes technical solutions of embodiments of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic diagram of a network architecture based on the present application, and as shown in fig. 1, the network architecture includes a server 1, a base station 2 and a terminal 3.
The server 1 is specifically arranged in a mobile network management platform server cluster, and an overhead user identification device provided by the application can be integrated or installed in the server cluster, and can determine overhead users on an overhead road covered by a base station cell based on an overhead user identification method provided by the application.
The base station 2 is specifically a 3G, 4G, 5G base station, and can upload information interacted with the terminal 3 and engineering parameter information to the server 1 for use by the overhead user identification device, so as to determine the overhead user on the overhead road network covered by the base station.
The terminal 3 may be a hardware device such as a mobile phone, a tablet, a car navigation device, and the like of a user, and may be linked with the base station 2 through a network, and when the user uses the terminal 3 to perform operations such as voice and network access, the user is implemented by performing network interaction with the base station 2.
Example one
Fig. 2 is a schematic flowchart of an overhead subscriber identification method provided in the present application, as shown in fig. 2, the method includes:
The main execution unit of the overhead user identification method provided by the present application is the processing device for overhead user identification, and as described above, the processing device for overhead road user identification may be specifically installed or carried in the server 1.
The server 1 contains XDR external data, engineering parameter data and DT data, and the data are stored in the server in the form of data sheets. The XDR external data comprises a network element gateway, a user identifier, a base station cell identifier, a service type, a starting time, an ending time, a network type and the like, and when a user terminal and a base station carry out network interaction, the XDR external data is uploaded to a server by the base station in real time or periodically; the engineering parameter information comprises longitude and latitude of a base station, base station cell identification and other information, and is uploaded to a server through a network center in real time or periodically; the DT data comprises information such as base station cell identification, base station adjacent cell identification, road ID, road section identification and the like, and is obtained through a network for manually and actually measuring roads and is periodically uploaded to a server manually.
In step 201, the overhead user identification device obtains XDR external data from the server, determines a communication route trajectory of the user according to the XDR external data, and sorts base station identifiers of base station cells according to a start time and an end time of the user connecting to the base station cells, so as to obtain a base station identifier sequence representing the communication route trajectory of the user. And the communication travel track of the user is formed by base station identification sequences of base station cells connected with the user.
Specifically, the overhead subscriber identity device performs field extraction on XDR external data, that is, filters the XDR external data, and only retains fields of a subscriber identity, a base station cell identity, a start time, an end time, and a network type. Then, the overhead user identification device traverses the XDR external data form after field extraction processing, and determines the base station cell identification accessed by the user terminal, and the starting time and the ending time of the user accessing each base station cell according to the user identification.
Further, the elevated subscriber identity device obtains a base station identity sequence for representing the communication travel track of the subscriber by comparing the start time and the end time of the cell identity accessed by the same subscriber identity according to the start time and the end time and sequencing the base station identities of the base station cells according to the time sequence.
That is, step 201 includes performing field extraction on XDR external data to obtain start time and end time of the user connecting to each base station cell, and sequencing base station identifiers of each base station cell according to the start time and end time of the user connecting to each base station cell and according to a time sequence to obtain a base station identifier sequence used for representing the user communication travel track. The base station identification sequence of the user communication track is obtained by obtaining the field extraction of the XDR external data, so that the subsequent overhead user identification device can conveniently carry out subsequent step processing.
Illustratively, as shown in table 1, XDR external data after field extraction processing is shown.
TABLE 1
| User identification | Base station cell identity | Starting time | End time | Network type |
| 001 | A | 11:01 | 11:04 | 3G |
| 002 | B | 11:10 | 11:17 | 4G |
| 001 | C | 10:23 | 10:45 | 3G |
| 002 | D | 11:34 | 11:38 | 3G |
| 001 | F | 11:12 | 11:20 | 3G |
After the base station identification sequence is sorted according to the starting time and the ending time, namely for a user with 001 user identification, the base station identification sequence of the base station cell of the communication travel track of the user is C, A, F; for the user with the user id of 002, the base station identification sequence of the base station cell of the communication route track of the user is B, D.
Optionally, before the elevated user identification device performs step 202, it is further required to calculate an average movement speed of the communication route trajectory of the user, specifically, if the average movement speed is greater than a second threshold, the step of determining the contact ratio between the communication route trajectory of the user and each elevated road segment in the elevated road segment fingerprint library is performed; and if the average movement speed is not greater than the second threshold value, the user is not an overhead user.
The second threshold value is used as a basis for judging whether the user is stable on the elevated road, and the situation that the user drives on the elevated road for a period of time and drives on the non-elevated road for a period of time is prevented. The second threshold may be set based on empirical values, but is not limited in this manner.
Specifically, in order to calculate the average movement speed of the communication travel track of the user, the overhead user identification device associates the XDR external data extracted by the field with the network engineering parameter data according to the base station cell identification field, and obtains the XDR external data with the beginning longitude and latitude and the ending longitude and latitude.
Wherein, for the user with base station cell identification sequence, the latitude and longitude at the beginning is the latitude and longitude of the first base station cell identification in the base station cell identification sequence; and the longitude and latitude at the end are the longitude and latitude of the cell identifier of the last base station arranged in the base station cell identifier sequence.
For the user with the user identifier 001 in the above example, the data obtained by associating with the network engineering parameters is: user identity 001, base station cell identity sequence (C, A, F), start time 10.
Calculating an average movement speed according to data associated with a 001 user as a user identifier, wherein the movement distance and the movement time of the user need to be calculated, wherein the movement distance is the difference between longitude and latitude at the end and longitude and latitude at the beginning, namely the difference between the longitude and latitude (x 3, y 3) with a base station cell identifier F and the longitude and latitude (x 1, y 1) with a base station cell identifier C; the movement time is the difference between the end time and the start time, i.e. the difference between the end time (11). Therefore, the user whose user identification is 001 has an average movement speed of ((x 3, y 3) - (x 1, y 1))/(57 min).
After calculating the average speed of the user with the user identifier 001, the elevated user identification device compares the calculated average movement speed with a second threshold preset in the server, and if the average movement speed is not greater than the second threshold, the user with the user identifier 001 is not an elevated user; if the average movement velocity is greater than the second threshold, the overhead subscriber identification device will perform step 202 of determining the contact ratio.
In step 202, the elevated subscriber identity device determines a coincidence degree of the communication travel trajectory of the subscriber with each elevated road segment in the elevated road segment fingerprint library, and if the coincidence degree of the subscriber is higher than a first threshold, the subscriber is an elevated subscriber.
Specifically, before the overhead user identification device judges the contact ratio, an overhead road section fingerprint database including base station cell identifiers corresponding to a plurality of overhead road sections is prestored in the server; the elevated road section fingerprint database is obtained by correlating DT data and engineering parameter data according to a base station cell identification field, and can be used as a basis for judging whether the elevated road section fingerprint database is an elevated user or not. The contact ratio refers to the matching degree of a base station cell identification sequence in a communication travel track of a user and base station cell identifications corresponding to a plurality of elevated road sections.
As shown in fig. 5, fig. 5 is a schematic diagram of an elevated road segment fingerprint library, where line segments in the diagram indicate elevated road segments, each elevated road segment corresponds to one base station cell, and the base station cells corresponding to the elevated road segments are base station cell a, base station cell B, base station cell C, and base station cell D according to the sequence from left to right.
Correspondingly, the first threshold refers to the number of base station cell identification sequences in the communication travel track of the user, which can be matched with the base station cell identification in the elevated road section fingerprint database.
Further, the overhead user identification device determines the contact ratio between the communication travel path trajectory of the user and each overhead road section in the overhead road section fingerprint library, and needs to calculate the contact ratio between each base station cell identifier in the base station identifier sequence of the user and the base station cell identifier corresponding to each overhead road section.
It can be understood that the overhead user identification device counts the base station identification sequences in the user communication travel tracks obtained in the above steps, and queries whether the base station identification exists in the overhead road section fingerprint library based on each base station identification in the base station identification sequences, if so, the coincidence value is added by 1, and if not, the coincidence value is kept unchanged. The initial value of the contact ratio is 0, and after the contact ratio of the user of each user identifier is counted, the contact ratio is reset to 0.
And further, aiming at the contact ratio between the communication travel track of the user and the base station cell identifier corresponding to each elevated road section, comparing the contact ratio corresponding to each user identifier with a first threshold value, and if the contact ratio is greater than the first threshold value, determining that the user is an elevated user.
Assuming that the first threshold is 2, the base station identification sequence of the base station cell of the user identified as 001 in the above example is C, A, F, and all the base station identification sequences of the user can be matched with the base station cell identification corresponding to the elevated road section, that is, the contact ratio of the user identified as 001 is 3; the base station identification sequence with the user identification of 002 only has a base station cell with the identification of B, and is matched with the base station cell corresponding to the elevated road section in the elevated road section fingerprint database, namely, the contact ratio of the user identification of 002 is 1. Therefore, if the contact ratio 3 of the user identifier 001 is greater than the first threshold value 2, the user with the user identifier 001 is an elevated user; the degree of overlap 1 of the subscriber identity 002 is smaller than the first threshold value 2, the subscriber with the subscriber identity 002 is not an overhead subscriber.
According to the overhead user identification method, the XDR external data is obtained, the communication travel track of the user is determined according to the XDR external data, the contact ratio of the communication travel track of the user and each overhead road section in an overhead road section fingerprint library is judged, and if the contact ratio of the user is higher than a first threshold value, the user is an overhead user. The data resources are enriched by operators, the overhead road network is automatically analyzed and processed through a platform, the processing efficiency and accuracy of overhead user identification are improved, and the development of intelligent network optimization work is supported.
Example two
Fig. 3 is a schematic structural diagram of an overhead subscriber identification device according to the present application, corresponding to the overhead subscriber identification method according to the present application. For ease of illustration, only the portions relevant to the present application are shown.
Referring to fig. 3, the overhead user identifying apparatus 30 includes:
an obtaining module 310, configured to obtain XDR external data, and determine a communication route trajectory of a user according to the XDR external data;
the determining module 320 is configured to determine a coincidence degree between the communication travel track of the user and each elevated road segment in the elevated road segment fingerprint library, and if the coincidence degree of the user is higher than a first threshold, the user is an elevated user.
The implementation principle of the overhead subscriber identity module provided by the present application is similar to that in any of the above embodiments, and is not described herein again.
The overhead user identification device provided by the application determines the communication travel track of a user according to the XDR external data by acquiring the XDR external data, judges the contact ratio of the communication travel track of the user and each overhead road section in an overhead road section fingerprint library, and if the contact ratio of the user is higher than a first threshold value, the user is an overhead user. The data resources are enriched by operators, the elevated road network is automatically analyzed and processed through a platform, the processing efficiency and accuracy of elevated user identification are improved, and the development of intelligent network optimization work is supported.
EXAMPLE III
Fig. 4 is a schematic structural diagram of another overhead subscriber identification device provided in the present application, corresponding to the overhead subscriber identification method of the present application. For ease of illustration, only the portions relevant to the present application are shown.
Referring to fig. 4, the overhead user identifying apparatus 40 includes:
an obtaining module 410, configured to obtain XDR external data, and determine a communication route trajectory of a user according to the XDR external data;
the determining module 420 is configured to determine a coincidence degree between the communication travel track of the user and each elevated road segment in the elevated road segment fingerprint library, and if the coincidence degree of the user is higher than a first threshold, the user is an elevated user.
Optionally, the obtaining module 410 includes
An extracting unit 4101, configured to perform field extraction on XDR external data to obtain start time and end time of the user accessing each base station cell;
a sorting unit 4102, configured to sort, according to the start time and the end time of the user connecting to each base station cell, the base station identifiers of each base station cell according to a time sequence, so as to obtain a base station identifier sequence used for representing the user communication route trajectory.
A calculating unit 4103, configured to calculate a coincidence degree between each base station cell identifier in the base station identifier sequence of the user and the base station cell identifier corresponding to each elevated road section.
Optionally, the overhead user identification device 40 further includes:
the screening module 430 is configured to calculate an average movement speed of the user in the communication route trajectory, if the average movement speed is greater than a second threshold, execute the step of determining the contact ratio between the communication route trajectory of the user and each elevated road segment in an elevated road segment fingerprint library, and if the average movement speed is not greater than the second threshold, determine that the user is not an elevated user.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working process of the above-described device may refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.
According to the other overhead user identification device, the XDR external data is obtained, the communication travel track of the user is determined according to the XDR external data, the contact ratio of the communication travel track of the user and each overhead road section in the overhead road section fingerprint library is judged, and if the contact ratio of the user is higher than a first threshold value, the user is an overhead user. The data resources are enriched by operators, the elevated road network is automatically analyzed and processed through a platform, the processing efficiency and accuracy of elevated user identification are improved, and the development of intelligent network optimization work is supported.
EXAMPLE III
Fig. 6 is a schematic diagram of a hardware structure of the electronic device provided in the present application, and for convenience of description, only a part related to the present application is shown.
Referring to fig. 6, a schematic structural diagram of an electronic device 1000 suitable for implementing the embodiment of the present application is shown, where the electronic device 1000 may be a terminal device. Among them, 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 (PDA), a tablet computer (PAD), a Portable Multimedia Player (PMP), a car mounted Device (e.g., car navigation terminal), etc., and a fixed terminal such as a Digital TV, a desktop computer, etc. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the electronic device 1000 may include an output device (e.g., a central processing unit, a graphics processor, etc.) 1007 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 1002 or a program loaded from a storage device 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data necessary for the operation of the electronic apparatus 1000 are also stored. The processing device 1001, the ROM1002, and the RAM 1003 are connected to each other by a bus 1004. An input/output (I/O) interface 1005 is also connected to bus 1004.
Generally, the following devices may be connected to the I/O interface 1005: input devices 1006 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 1007 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 1008 including, for example, magnetic tape, hard disk, and the like; and a communication device 1009. The communications apparatus 1009 may allow the electronic device 1000 to communicate wirelessly or by wire with other devices to exchange data. While fig. 6 illustrates an electronic device 1000 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may be alternatively implemented or provided.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application 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 illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication means 1009, or installed from the storage means 1008, or installed from the ROM 1002. When executed by the processing device 1001, the computer program performs the above-described functions defined in the method of the embodiment of the present application.
It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination 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 present application, 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 this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. 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, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform the methods shown in the above embodiments.
A computer program product is provided for carrying out the operations of the present disclosure and may be written in any combination of 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 media library. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of Network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart 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 application. 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 described in the embodiments of the present application may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation of the unit itself, for example, the first obtaining unit may also be described as a "unit obtaining at least two internet protocol addresses".
The functions described herein above 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: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.
In the context of this application, 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. A 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 compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. The embodiments of the present application are intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. An overhead subscriber identification method, comprising:
obtaining XDR external data, and determining a communication travel track of a user according to the XDR external data;
judging the contact ratio of the communication travel track of the user and each elevated road section in an elevated road section fingerprint library;
and if the contact ratio of the user is higher than a first threshold value, the user is an elevated user.
2. The overhead subscriber identification method according to claim 1, wherein the communication route trajectory is formed by base station identification sequences of the base station cells to which the subscriber is connected;
the acquiring XDR external data and determining the communication travel track of the user according to the XDR external data comprises the following steps:
extracting fields of XDR external data to obtain the starting time and the ending time of the user connected to each base station cell;
and sequencing the base station identifications of the base station cells according to the starting time and the ending time of the user connected to each base station cell and the time sequence to obtain a base station identification sequence for representing the communication travel track of the user.
3. The method according to claim 2, wherein the elevated road section fingerprint database comprises base station cell identifiers corresponding to a plurality of elevated road sections;
correspondingly, judging the contact ratio of the communication travel track of the user and each elevated road section in the elevated road section fingerprint library comprises the following steps:
and calculating the coincidence degree between each base station cell identifier in the base station identifier sequence of the user and the base station cell identifier corresponding to each elevated road section.
4. The method for identifying an elevated user according to claim 1, wherein before determining the contact ratio of the communication travel path trace of the user with each elevated road section in an elevated road section fingerprint library, the method further comprises:
calculating the average movement speed of the user on the communication travel track;
if the average movement speed is larger than a second threshold value, executing the step of judging the contact ratio of the communication travel track of the user and each elevated road section in an elevated road section fingerprint library;
and if the average movement speed is not greater than the second threshold value, the user is not an overhead user.
5. An overhead subscriber identification device, comprising:
the acquisition module is used for acquiring XDR external data and determining a communication travel track of a user according to the XDR external data;
and the judging module is used for judging the contact ratio of the communication travel track of the user and each elevated road section in an elevated road section fingerprint library, and if the contact ratio of the user is higher than a first threshold value, the user is an elevated user.
6. The overhead subscriber identification device of claim 5, wherein the obtaining module is configured to obtain XDR external data, and determine a communication path of the subscriber according to the XDR external data, and comprises:
an extracting unit, configured to perform field extraction on XDR external data to obtain start time and end time of the user accessing each base station cell;
the sequencing unit is used for sequencing the base station identifications of the base station cells according to the time sequence and the starting time and the ending time of the user accessing the base station cells to obtain a base station identification sequence used for expressing the communication travel track of the user;
and the calculating unit is used for calculating the contact ratio between each base station cell identifier in the base station identifier sequence of the user and the base station cell identifier corresponding to each elevated road section.
7. The overhead subscriber identification device of claim 5, further comprising:
and the screening module is used for calculating the average movement speed of the user in the communication travel track, if the average movement speed is greater than a second threshold value, executing the step of judging the contact ratio of the communication travel track of the user and each elevated road section in an elevated road section fingerprint library, and if the average movement speed is not greater than the second threshold value, determining that the user is not an elevated user.
8. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of any one of claims 1-4.
9. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the method of any one of claims 1-4.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the method according to any of claims 1-4 when executed by a processor.
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