CN112752252A - Cell home location identification method and device - Google Patents

Cell home location identification method and device Download PDF

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Publication number
CN112752252A
CN112752252A CN202011589342.3A CN202011589342A CN112752252A CN 112752252 A CN112752252 A CN 112752252A CN 202011589342 A CN202011589342 A CN 202011589342A CN 112752252 A CN112752252 A CN 112752252A
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city
home
level
attribution
target area
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CN202011589342.3A
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CN112752252B (en
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李慧莲
韩振东
李民
景洪水
唐学军
石斌
范娟
孙碧涛
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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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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W8/00Network data management
    • H04W8/02Processing of mobility data, e.g. registration information at HLR [Home Location Register] or VLR [Visitor Location Register]; Transfer of mobility data, e.g. between HLR, VLR or external networks
    • H04W8/08Mobility data transfer
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W8/00Network data management
    • H04W8/18Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data

Abstract

The application provides a cell home location identification method and a device, and the method comprises the following steps: acquiring a plurality of user mobile communication service records in a target area, wherein the user mobile communication service records comprise: the method comprises the steps of determining a user number, a target area identifier and a cell identifier of a current user, wherein the target area is a location area or a tracking area, the cell is located in the target area, determining a home-level city of the user number according to the user number in each user mobile communication service record, determining a mobile communication service record of each user number belonging to each home-level city from a plurality of user mobile communication service records according to the home-level city of each user number, determining the home-level city of the target area according to the mobile communication service record related to each user number belonging to each home-level city, and determining the home-level city of each cell in the target area according to the home-level city of the target area. Therefore, the method and the device can identify the attributive city of the cell more accurately.

Description

Cell home location identification method and device
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for identifying a cell home location.
Background
Each mobile communication operator is provided with a Support System, such as a signaling analysis Support System, a network optimization Support System, a Business and billing Business Operation Support System (BOSS), and the like. All the systems have cell information, a cell refers to an area covered by wireless signals in mobile communication, and the attributive grade city of the cell can be obtained according to the cell information, so that the relevant communication operation indexes of the grade city are obtained, and the system is used for supporting and controlling market service development, network operation and the like of the grade city.
At present, the attribution grade city of a cell is identified through a cell basic ledger in a support system, and the cell basic ledger is obtained through manual filling, so that errors are difficult to avoid in the manual filling, and therefore, the problem that the attribution grade city of the cell is not accurate enough exists.
Disclosure of Invention
The application provides a cell attribution identification method and a cell attribution identification device, which are used for accurately identifying an attribution city of a cell.
In a first aspect, the present application provides a method for identifying a cell home, including:
acquiring a plurality of user mobile communication service records in a target area, wherein the user mobile communication service records comprise: the method comprises the steps of identifying a user number, an identification of a target area and an identification of a cell where a user is located currently, wherein the target area is a position area or a tracking area, and the cell is located in the target area.
And determining the attributive city of the user number according to the user number in each user mobile communication service record.
And according to the attribution grade city of each user number, determining the mobile communication service record of each user number belonging to each attribution grade city from the mobile communication service records of the plurality of users.
And determining the attributive city of the target area according to the mobile communication service record related to each user number belonging to each attributive city.
And determining the attributive city of each cell in the target area according to the attributive city of the target area.
Optionally, determining the home-level city of the target area according to the mobile communication service record associated with each subscriber number belonging to each home-level city, includes:
according to the mobile communication service record of each user number belonging to each attribution city, at least one item is determined as follows: the sum of the communication service times of the users belonging to each attribution city and the number of the users belonging to each attribution city. And determining the attribution city of the target area according to the sum of the communication service times of the users belonging to each attribution city and/or the number of the users belonging to each attribution city.
Optionally, determining the home-level city of the target area according to the sum of the communication service times of the users belonging to each home-level city and/or the number of the users belonging to each home-level city, including:
and determining the corresponding communication service frequency ratio of each attribution place class city according to the sum of the communication service frequency of each user belonging to each attribution place class city. And determining the number ratio of the users corresponding to each attribution place grade city according to the number of the users belonging to each attribution place grade city. And determining the attributive place-level city of the target area according to the communication service frequency ratio corresponding to each attributive place-level city and/or the number ratio of users corresponding to each attributive place-level city.
Optionally, determining the home-level city of the target area according to the ratio of the number of communication services corresponding to each home-level city, including:
and determining the attribution place-level city with the largest communication service frequency ratio as a first attribution place-level city according to the communication service frequency ratio corresponding to each attribution place-level city. And if the ratio of the number of times of the communication service corresponding to the first attribution place-level city is larger than or equal to the first ratio, determining that the attribution place-level city of the target area is the first attribution place-level city.
Optionally, the cell home location identification method further includes:
and if the ratio of the number of times of the communication service corresponding to the first attribution place-level city is smaller than the first ratio, determining that the attribution place-level city with the largest ratio of the number of times of the communication service is the second attribution place-level city. And if the difference between the ratio of the number of times of the communication service corresponding to the first attribution place-level city and the ratio of the number of times of the communication service corresponding to the second attribution place-level city is larger than or equal to the second ratio, determining that the attribution place-level city of the target area is the first attribution place-level city.
Optionally, the cell home location identification method further includes:
and if the ratio of the number of communication services corresponding to the first attribution ground level city is smaller than the first ratio, and the difference between the ratio of the number of communication services corresponding to the first attribution ground level city and the ratio of the number of communication services corresponding to the second attribution ground level city is smaller than the second ratio, acquiring the attribution ground level cities of two adjacent areas of the target area. And if the home-level cities of the two adjacent areas of the target area comprise the first home-level city but not the second home-level city, determining that the home-level city of the target area is the first home-level city. And if the home-level cities of the two adjacent areas of the target area comprise the second home-level city but not the first home-level city, determining that the home-level city of the target area is the second home-level city.
In a second aspect, the present application provides a cell home location identification apparatus, including:
an obtaining module, configured to obtain multiple user mobile communication service records in a target area, where the user mobile communication service records include: the method comprises the steps of identifying a user number, an identification of a target area and an identification of a cell where a user is located currently, wherein the target area is a position area or a tracking area, and the cell is located in the target area.
And the first determining module is used for determining the attributive city of the user number according to the user number in each user mobile communication service record.
And the second determining module is used for determining the mobile communication service record of each user number belonging to each attributive place class city from the mobile communication service records of the plurality of users according to the attributive place class city of each user number.
And the third determining module is used for determining the attributive place city of the target area according to the mobile communication service record related to each user number belonging to each attributive place city.
And the fourth determining module is used for determining the attributive grade city of each cell in the target area according to the attributive grade city of the target area.
Optionally, the third determining module is specifically configured to:
according to the mobile communication service record of each user number belonging to each attribution city, at least one item is determined as follows: the sum of the communication service times of the users belonging to each attribution city and the number of the users belonging to each attribution city. And determining the attribution city of the target area according to the sum of the communication service times of the users belonging to each attribution city and/or the number of the users belonging to each attribution city.
Optionally, the third determining module is specifically configured to:
and determining the corresponding communication service frequency ratio of each attribution place class city according to the sum of the communication service frequency of each user belonging to each attribution place class city. Determining the number ratio of the users corresponding to each attribution place-level city according to the number of the users belonging to each attribution place-level city; and determining the attributive place-level city of the target area according to the communication service frequency ratio corresponding to each attributive place-level city and/or the number ratio of users corresponding to each attributive place-level city.
Optionally, the third determining module is specifically configured to:
and determining the attribution place-level city with the largest communication service frequency ratio as a first attribution place-level city according to the communication service frequency ratio corresponding to each attribution place-level city. And if the ratio of the number of times of the communication service corresponding to the first attribution place-level city is larger than or equal to the first ratio, determining that the attribution place-level city of the target area is the first attribution place-level city.
Optionally, the third determining module is further configured to:
and if the ratio of the number of times of the communication service corresponding to the first attribution place-level city is smaller than the first ratio, determining that the attribution place-level city with the largest ratio of the number of times of the communication service is the second attribution place-level city. And if the difference between the ratio of the number of times of the communication service corresponding to the first attribution place-level city and the ratio of the number of times of the communication service corresponding to the second attribution place-level city is larger than or equal to the second ratio, determining that the attribution place-level city of the target area is the first attribution place-level city.
Optionally, the third determining module is further configured to:
and if the ratio of the number of communication services corresponding to the first attribution ground level city is smaller than the first ratio, and the difference between the ratio of the number of communication services corresponding to the first attribution ground level city and the ratio of the number of communication services corresponding to the second attribution ground level city is smaller than the second ratio, acquiring the attribution ground level cities of two adjacent areas of the target area. And if the home-level cities of the two adjacent areas of the target area comprise the first home-level city but not the second home-level city, determining that the home-level city of the target area is the first home-level city. And if the home-level cities of the two adjacent areas of the target area comprise the second home-level city but not the first home-level city, determining that the home-level city of the target area is the second home-level city.
In a third aspect, the present application provides a cell home location identifying apparatus, including: a memory and a processor;
the memory is used for storing program instructions;
the processor is configured to invoke program instructions in the memory to perform a cell home identification method as described in the first aspect of the application.
In a fourth aspect, the present application provides a computer-readable storage medium, in which computer program instructions are stored, and when the computer program instructions are executed, the method for identifying a cell home location according to the first aspect of the present application is implemented.
In a fifth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements a cell home identification method as described in the first aspect of the present application.
The cell attribution identification method and device provided by the application obtain a plurality of user mobile communication service records in a target area, wherein the user mobile communication service records comprise: the method comprises the steps of determining a user number, a target area identifier and a cell identifier of a current user, wherein the target area is a location area or a tracking area, the cell is located in the target area, determining a home-level city of the user number according to the user number in each user mobile communication service record, determining a mobile communication service record of each user number belonging to each home-level city from a plurality of user mobile communication service records according to the home-level city of each user number, determining the home-level city of the target area according to the mobile communication service record related to each user number belonging to each home-level city, and determining the home-level city of each cell in the target area according to the home-level city of the target area. According to the method and the device, the attribution grade city of the target area can be determined according to the attribution grade city of the user number of the user (located in the target area), and then the attribution grade city of each cell in the target area is determined.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;
fig. 2 is a flowchart of a cell home location identification method according to an embodiment of the present application;
fig. 3 is a flowchart of a cell home identification method according to another embodiment of the present application;
fig. 4 is a schematic structural diagram of a cell home location identification apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a cell home location identification apparatus according to another embodiment of the present application;
fig. 6 is a schematic structural diagram of a cell home location identification apparatus according to another embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Each mobile communication operator is provided with a support system, such as a signaling analysis support system, a network optimization support system, a business and billing BOSS system and the like. All the systems have cell information, a cell refers to an area covered by wireless signals in mobile communication, and the attributive grade city of the cell can be obtained according to the cell information, so that the relevant communication operation indexes of the grade city are obtained, and the system is used for supporting and controlling market service development, network operation and the like of the grade city.
At present, the attribution grade city of a cell is identified through a cell basic ledger in a support system, the cell basic ledger is obtained through manual filling, and errors are difficult to avoid in the manual filling, so that the problem that the attribution grade city of the cell is not accurate enough exists, and meanwhile, the problem that the attribution grade city of the cell is not complete enough due to manual missing filling also exists.
In a mobile communication network, due to the need of mobility management, it is necessary to plan a location area (2/3G network) or a tracking area (4/5G network), which contains tens to thousands of cells and is not divided across the city of the ground, that is: the location area or tracking area is the same as the home city of the cell therein, and thus the home city of the cell within the location area or tracking area can be obtained by identifying the home city of the location area or tracking area.
The application provides a cell attribution identification method and a device, a plurality of user mobile communication service records in a location area or a tracking area are obtained, and according to the characteristic of regional aggregation of user numbers in the user mobile communication service records, the attribution grade city of the location area or the tracking area is identified through the attribution grade city of the user numbers, namely: analyzing the number ratio or the communication service frequency ratio of users of the user number attribution grade city in the location area or the tracking area, calculating the integral of the possible attribution grade city according to the number ratio of the user number attribution grade city, simultaneously calculating the integral of the possible attribution grade city according to the characteristics of the serial number continuity of the location area or the tracking area and combining the attribution grade city of the location area or the tracking area adjacent to the location area or the tracking area, identifying the attribution grade city of the location area or the tracking area through the integral, and further obtaining the attribution grade city of the cell in the location area or the tracking area. Because the information stability of the user number attribution city is high (usually, the user number attribution city is updated for 2 times in a year), and the accuracy is high, the method and the device can more accurately identify the attribution city of the cell, ensure the integrity of the attribution city of each cell, and save the maintenance workload of cell data information because manual filling is not needed any more.
Fig. 1 is a schematic application scenario diagram provided in an embodiment of the present application, as shown in fig. 1, a location area 110 has a plurality of cells 120 within a coverage area of a base station 140, mobile phones 130 of a plurality of users communicate through a mobile communication network, a home city of the location area 110 is identified through a home city of a user number, and then the home cities of the plurality of cells 120 in the location area 110 are determined, and a specific implementation process may refer to a scheme of each of the following embodiments.
Fig. 2 is a flowchart of a cell home location identification method according to an embodiment of the present application, where the method of this embodiment may be applied to an electronic device, such as a core network device, a server, and the like. As shown in fig. 2, the method of the present embodiment includes:
s201, obtaining a plurality of user mobile communication service records in a target area, wherein the user mobile communication service records comprise: the method comprises the steps of identifying a user number, an identification of a target area and an identification of a cell where a user is located currently, wherein the target area is a position area or a tracking area, and the cell is located in the target area.
In this embodiment, the target area is a location area or a tracking area, where a 2G or 3G network uses the location area correspondingly, and a 4G or 5G network uses the tracking area correspondingly. Tens to thousands of cells may be included in each location area or tracking area. Therefore, a plurality of user mobile communication service records in the target area, namely a plurality of user mobile communication service records in the position area or the tracking area, are obtained. Specifically, for example: a plurality of user mobile communication service records in a location area or a tracking area can be obtained through a network quality analysis and monitoring system of each mobile communication operator. Alternatively, a plurality of user mobile communication service records within the target area, for example within a day or a week, may be obtained. The user mobile communication service record comprises: the method comprises the steps of identifying a user number, an identification of a target area and an identification of a cell where the user is located currently, wherein the user number is a mobile phone number of the user. Table 1 shows an example of a plurality of user mobile communication service records, and as shown in table 1, the user mobile communication service record includes: the method comprises the steps of initiating time of communication service, a user number, an identifier of a location area corresponding to the user number and an identifier of a cell where the user is located currently.
Table 1 multiple subscriber mobile communication service record example
Time (UTC) Number (I) Location area Cell
1553586265 130****4506 4600142690 460014226659405
1553586293 130****4552 4600142620 460014227255131
1553586310 130****4652 4600142603 460014227260051
1553586329 130****4763 4600142682 460014240021972
1553586345 130****5032 4600142682 460014240023402
1553586383 130****5318 4600142678 460014258061635
1553586420 130****5328 4600142678 460014258061635
1553586427 130****5386 4600142676 460014258061635
1553586437 130****5420 4600142661 460014257861346
1553586450 130****5437 4600142649 460014255637331
1553586457 130****5486 4600142649 460014268207572
1553586531 130****5521 4600142635 460014259034533
1553586677 130****5535 4600142597 460014224754083
1553586703 130****5643 4600142632 460014224607858
1553586753 130****6085 4600142631 460014255631511
The plurality of user mobile communication service records in the target area may be input by a user to the electronic device executing the embodiment of the method, or transmitted by other devices to the electronic device executing the embodiment of the method, or generated by the electronic device.
S202, determining the attributive city of the user number according to the user number in each user mobile communication service record.
In this embodiment, a plurality of user mobile communication service records in the target area have been obtained, where each user mobile communication service record has a user number, and therefore, according to the user number in each user mobile communication service record, the home city of the user number is determined. For example: the home city of the subscriber number is determined by the support system of the mobile communication carrier.
S203, according to the attribution grade city of each user number, determining the mobile communication service record of each user number belonging to each attribution grade city from the mobile communication service records of the users.
In this embodiment, the home-level city of the subscriber number of each subscriber (located in the target area) has already been obtained, and therefore, the mobile communication service record of each subscriber number belonging to each home-level city is determined from the plurality of subscriber mobile communication service records according to the home-level city of the subscriber number of each subscriber (located in the target area). For example: and if the attributive place city of the user number of the user 1 is the place A city and the attributive place city of the user number of the user 2 is also the place A city, determining that the mobile communication service record of the user number belonging to the place A city comprises the mobile communication service record of the user number of the user 1 and the mobile communication service record of the user number of the user 2.
S204, according to the mobile communication service record related to each user number belonging to each attribution city, the attribution city of the target area is determined.
In this embodiment, the mobile communication service record related to each subscriber number belonging to each home-level city has already been obtained, and therefore, the home-level city of the target area is determined based on the mobile communication service record related to each subscriber number belonging to each home-level city.
S205, according to the attributive city of the target area, the attributive city of each cell in the target area is determined.
In this embodiment, the home-level city of the target area is already determined, and therefore, the home-level city of each cell in the target area is determined according to the home-level city of the target area. For example: and if the attributive city of the target area is the grade A city, determining that the attributive cities of the cells (located in the target area) are all grade A cities. After the attribution grade city of the cell is determined, the support system of each mobile communication operator can obtain the attribution grade city of the cell, so that relevant communication operation indexes of the grade city are obtained according to the attribution grade city of the cell, and the support system is used for supporting and controlling market service development, network operation and the like of the grade city.
The cell attribution identification method provided by the application obtains a plurality of user mobile communication service records in a target area, wherein the user mobile communication service records comprise: the method comprises the steps of determining a user number, a target area identifier and a cell identifier of a current user, wherein the target area is a location area or a tracking area, the cell is located in the target area, determining a home-level city of the user number according to the user number in each user mobile communication service record, determining a mobile communication service record of each user number belonging to each home-level city from a plurality of user mobile communication service records according to the home-level city of each user number, determining the home-level city of the target area according to the mobile communication service record related to each user number belonging to each home-level city, and determining the home-level city of each cell in the target area according to the home-level city of the target area. According to the method and the device, the attribution grade city of the target area can be determined according to the attribution grade city of the user number of the user (located in the target area), and then the attribution grade city of each cell in the target area is determined.
Based on the embodiment shown in fig. 2, in some embodiments, fig. 3 is a flowchart of a cell home location identification method provided in another embodiment of the present application, and as shown in fig. 3, the method of this embodiment includes:
s301, obtaining a plurality of user mobile communication service records in the target area, wherein the user mobile communication service records comprise: the method comprises the steps of identifying a user number, an identification of a target area and an identification of a cell where a user is located currently, wherein the target area is a position area or a tracking area, and the cell is located in the target area.
S302, according to the user number in each user mobile communication service record, determining the attributive city of the user number.
S303, according to the attribution grade city of each user number, determining the mobile communication service record of each user number belonging to each attribution grade city from the mobile communication service records of the users.
In this embodiment, the specific implementation processes of S301, S302, and S303 may refer to the related description of the embodiment shown in fig. 2, and are not described herein again.
S304, according to the mobile communication service record of each user number belonging to each home-level city, at least one item is determined as follows: the sum of the communication service times of the users belonging to each attribution city and the number of the users belonging to each attribution city.
In this embodiment, the mobile communication service record of each subscriber number belonging to each home-level city has already been obtained, and therefore, the sum of the number of times of communication services of each subscriber belonging to each home-level city may be determined, and the number of each subscriber belonging to each home-level city may also be determined. For example: having obtained the mobile communication service records of 2 subscriber numbers belonging to the a-class city of the home class city, where the number of times of communication service of one subscriber is 5 times and the number of times of communication service of another subscriber is 3 times, it can be determined that the sum of the number of times of communication service of 2 subscribers of the a-class city is 8 times, and it can also be determined that the number of subscribers of the a-class city is 2.
S305, determining the corresponding communication service frequency ratio of each attribution place-level city according to the sum of the communication service frequency of each user belonging to each attribution place-level city.
In this embodiment, the sum of the communication service times of each user belonging to each home-level city in the target area is obtained, so that the sum of the communication service times of each user of all home-level cities in the target area can be obtained, and the ratio of the communication service times corresponding to each home-level city is determined according to the sum of the communication service times of each user of each home-level city and the sum of the communication service times of each user of all home-level cities in the target area. For example: after the sum of the communication service times of each user belonging to the attributive grade city A grade city in the target area is obtained to be 8 times, and the sum of the communication service times of each user belonging to the attributive grade city B grade city is obtained to be 2 times, the sum of the communication service times of each user belonging to the grade city A and the grade city B can be obtained to be 10 times, and then the ratio of the communication service times corresponding to the grade city A to be 0.8 and the ratio of the communication service times corresponding to the grade city B to be 0.2 can be determined.
S306, determining the number ratio of the users corresponding to each attribution place grade city according to the number of the users belonging to each attribution place grade city.
In this embodiment, the number of users belonging to each home-level city in the target area is already obtained, so that the total number of users in all home-level cities in the target area can be obtained, and the number proportion of users corresponding to each home-level city is determined according to the total number of users in each home-level city and the total number of users in all home-level cities in the target area. For example: after obtaining that the number of each user belonging to the attributive grade city A grade city and the number of each user belonging to the attributive grade city B grade city are 8 and 2 in the target area, the total number of each user belonging to the attributive grade city A grade city and the attributive grade city B grade city is 10, and further, the number proportion of the users corresponding to the grade city A grade city is determined to be 0.8, and the number proportion of the users corresponding to the grade city B grade city is determined to be 0.2.
S307, determining the attribution grade city of the target area according to the communication service frequency ratio corresponding to each attribution grade city and/or the number ratio of users corresponding to each attribution grade city.
In this embodiment, the ratio of the number of communication services corresponding to each home-level city and/or the ratio of the number of users corresponding to each home-level city are obtained, so that the home-level city of the target area can be determined.
Optionally, the home-level city with the largest communication service number ratio is determined as the first home-level city according to the communication service number ratio corresponding to each home-level city. And if the ratio of the number of times of the communication service corresponding to the first attribution place-level city is larger than or equal to the first ratio, determining that the attribution place-level city of the target area is the first attribution place-level city.
In this embodiment, the ratio of the number of communication services corresponding to each home-level city is obtained, the ratios of the number of communication services corresponding to all home-level cities are sorted, and the home-level city with the largest ratio of the number of communication services is determined as the first home-level city. Specifically, if the first percentage is, for example, 0.6, and if the percentage of the number of times of communication services corresponding to the first home-level city is greater than or equal to 0.6, it is determined that the home-level city of the target area is the first home-level city. Table 2 is an example of the ratio of the number of times of communication services corresponding to each home-level city in the X location area, and as shown in table 2, the ratio of the number of times of communication services corresponding to each home-level city is sorted from high to low, it can be seen that the ratio of the number of times of communication services of the a-level city is 0.889, the a-level city is the first home-level city, and since the ratio of the number of times of communication services of the a-level city of 0.889 is greater than the first ratio of 0.6, the home-level city of the X location area is determined to be the a-level city.
TABLE 2 example of the number of communications services per home city in the X location area
Location area Number of communication services Ratio of number of communication services Grade city
4600142274 93422 0.889 Grade A city
4600142274 2914 0.028 Grade B city
4600142274 2693 0.026 City of grade C
4600142274 1122 0.011 Grade D city
4600142274 883 0.008 Grade E city
4600142274 718 0.007 Grade F city
4600142274 595 0.006 City of grade G
4600142274 528 0.005 City of grade H
4600142274 515 0.005 Grade I city
4600142274 502 0.005 Grade J city
4600142274 417 0.004 City of K grade
4600142274 414 0.004 Grade L city
4600142274 327 0.003 City of M grade
Optionally, if the ratio of the number of communication services corresponding to the first home-level city is smaller than the first ratio, the home-level city with the largest ratio of the number of communication services is determined to be the second home-level city. And if the difference between the ratio of the number of times of the communication service corresponding to the first attribution place-level city and the ratio of the number of times of the communication service corresponding to the second attribution place-level city is larger than or equal to the second ratio, determining that the attribution place-level city of the target area is the first attribution place-level city.
In this embodiment, the communication service frequency ratios corresponding to all the home-level cities are sorted from high to low, and according to the sorting result, a first home-level city with the largest communication service frequency ratio and a home-level city with the largest communication service frequency ratio, that is, a second home-level city, can be obtained. For example: in table 2, the number of times of communication service of the user whose home location is the class a city is the largest, and is first, the class a city is the first home class city, and the number of times of communication service of the user whose home location is the class B city is second, and the class B city is the second home class city. Specifically, the first percentage is, for example, 0.6, the second percentage is, for example, 0.2, and if the percentage of the number of times of communication service corresponding to the first home-level city is smaller than the first percentage 0.6 and the difference between the percentage of the number of times of communication service corresponding to the first home-level city and the percentage of the number of times of communication service corresponding to the second home-level city is greater than or equal to the second percentage 0.2, it is determined that the home-level city of the target area is the first home-level city.
Optionally, if the ratio of the number of communication services corresponding to the first home-level city is smaller than the first ratio, and the difference between the ratio of the number of communication services corresponding to the first home-level city and the ratio of the number of communication services corresponding to the second home-level city is smaller than the second ratio, the home-level cities of two adjacent areas in the target area are obtained. And if the home-level cities of the two adjacent areas of the target area comprise the first home-level city but not the second home-level city, determining that the home-level city of the target area is the first home-level city. And if the home-level cities of the two adjacent areas of the target area comprise the second home-level city but not the first home-level city, determining that the home-level city of the target area is the second home-level city.
In this embodiment, the first home-level city and the second home-level city have been determined according to the ratio of the number of times of communication services, where the first ratio is, for example, 0.6, and the second ratio is, for example, 0.2, and if the ratio of the number of times of communication services corresponding to the first home-level city is less than the first ratio of 0.6, and the difference between the ratio of the number of times of communication services corresponding to the first home-level city and the ratio of the number of times of communication services corresponding to the second home-level city is less than the second ratio of 0.2, it is described that the first home-level city has no obvious concentration. For example, 1 is divided into integration steps, which can be configured as required, and the first home-level city and the second home-level city are each divided into 1 without limitation in this application. And then acquiring the attribution level cities of two adjacent areas of the target area, specifically, the attribution level cities of the two adjacent areas of the target area, which are the attribution level cities of the two adjacent areas before and after the target area is numbered. And if the home-level cities of the two adjacent areas of the target area comprise the first home-level city but not the second home-level city, determining that the home-level city of the target area is the first home-level city. For example: the first attribution place-level city is a place-level A city, the second attribution place-level city is a place-level B city, two adjacent areas of the target area are an area 1 and an area 2 respectively, if the attribution place-level city of the area 1 is the place-level A city and the attribution place-level city of the area 2 is the place-level A city, the place-level A city is divided into 2 points, and further the total point of the place-level A city is determined to be 3 points, so that the place-level attribution place of the target area is determined to be the place-level A city; if the attributive city of the area 1 is the grade a city, the attributive city of the area 2 is the grade C city, or the attributive city of the area 1 is the grade C city and the attributive city of the area 2 is the grade a city, the grade a city is divided into 1 point, and further the total point of the grade a city is determined to be 2 points, so that the attributive city of the target area is determined to be the grade a city. And if the home-level cities of the two adjacent areas of the target area comprise the second home-level city but not the first home-level city, determining that the home-level city of the target area is the second home-level city. For example: the first attribution place-level city is an A place-level city, the second attribution place-level city is a B place-level city, two adjacent areas of the target area are an area 1 and an area 2 respectively, if the attribution place-level city of the area 1 is the B place-level city and the attribution place-level city of the area 2 is the B place-level city, the B place-level city is divided into 2 points, and further the total point of the B place-level city is determined to be 3 points, so that the attribution place-level city of the target area is determined to be the B place-level city; if the home city of the area 1 is the city of level B, the home city of the area 2 is the city of level C, or the home city of the area 1 is the city of level C and the home city of the area 2 is the city of level B, the score of level B is 1, and further the total score of level B is determined to be 2, so that the home city of the target area is determined to be the city of level B.
On the basis of the above embodiment, if the home-level cities of the two adjacent target areas include neither the first home-level city nor the second home-level city, the first home-level city and the second home-level city are each integrated by 1. For example: the first attributive place-level city is a place-level A city, the second attributive place-level city is a place-level B city, two areas adjacent to the target area are an area 1 and an area 2 respectively, if the attributive place-level city of the area 1 is a place-level C city, and the attributive place-level city of the area 2 is a place-level D city, the place-level A city is divided into 1 point and the place-level B city is divided into 1 point, and then the total point of the place-level A city is determined to be 2 points, and the total point of the place-level B city is determined to be 2 points. In this case, if the number of the highest ranking cities of the attribution ranking cities of the target area is more than 1, the attribution ranking cities of the target area are not identifiable, and the output is given to manual check at this time, so that the attribution ranking cities of the target area are determined manually.
Optionally, according to the number percentage of the users corresponding to each home-level city, determining that the home-level city with the largest number percentage of the users is the first home-level city. And if the number proportion of the users corresponding to the first attribution place-level city is larger than or equal to the first proportion, determining that the attribution place-level city of the target area is the first attribution place-level city.
In this embodiment, the number ratios of the users corresponding to each home-level city are obtained, the number ratios of the users corresponding to all the home-level cities are sorted, and the home-level city with the largest number ratio of the users is determined to be the first home-level city. Specifically, if the first percentage is, for example, 0.6, and the percentage of the number of users corresponding to the first home-level city is greater than or equal to 0.6, it is determined that the home-level city of the target area is the first home-level city.
Optionally, if the number proportion of the users corresponding to the first home-level city is smaller than the first proportion, determining that the home-level city with the largest number proportion of the users is the second home-level city. And if the difference between the number proportion of the users corresponding to the first attribution place-level city and the number proportion of the users corresponding to the second attribution place-level city is larger than or equal to the second proportion, determining that the attribution place-level city of the target area is the first attribution place-level city.
In this embodiment, the number ratios of the users corresponding to all the home-level cities are sorted from high to low, and according to the sorting result, the first home-level city with the largest number ratio of the users and the home-level city with the largest number ratio of the users, which is the second home-level city, can be obtained. Specifically, the first percentage is, for example, 0.6, the second percentage is, for example, 0.2, and if the number percentage of users corresponding to the first home-level city is smaller than the first percentage 0.6 and the difference between the number percentage of users corresponding to the first home-level city and the number percentage of users corresponding to the second home-level city is greater than or equal to the second percentage 0.2, the home-level city of the target area is determined to be the first home-level city.
Optionally, if the number percentage of the users corresponding to the first home-level city is smaller than the first percentage, and the difference between the number percentage of the users corresponding to the first home-level city and the number percentage of the users corresponding to the second home-level city is smaller than the second percentage, the home-level cities of two adjacent areas in the target area are obtained. And if the home-level cities of the two adjacent areas of the target area comprise the first home-level city but not the second home-level city, determining that the home-level city of the target area is the first home-level city. And if the home-level cities of the two adjacent areas of the target area comprise the second home-level city but not the first home-level city, determining that the home-level city of the target area is the second home-level city.
In this embodiment, a first home-level city and a second home-level city have been determined according to the number proportion of users, where the first proportion is, for example, 0.6, and the second proportion is, for example, 0.2, and if the number proportion of users corresponding to the first home-level city is less than the first proportion of 0.6, and the difference between the number proportion of users corresponding to the first home-level city and the number proportion of users corresponding to the second home-level city is less than the second proportion of 0.2, it is described that the first home-level city has no obvious concentration. For example, 1 is divided into integration steps, which can be configured as required, and the first home-level city and the second home-level city are each divided into 1 without limitation in this application. And then acquiring the attribution city of two areas adjacent to the target area. And if the home-level cities of the two adjacent areas of the target area comprise the first home-level city but not the second home-level city, determining that the home-level city of the target area is the first home-level city. For example: the first attribution place-level city is a place-level A city, the second attribution place-level city is a place-level B city, two adjacent areas of the target area are an area 1 and an area 2 respectively, if the attribution place-level city of the area 1 is the place-level A city and the attribution place-level city of the area 2 is the place-level A city, the place-level A city is divided into 2 points, and further the total point of the place-level A city is determined to be 3 points, so that the place-level attribution place of the target area is determined to be the place-level A city; if the attributive city of the area 1 is the grade a city, the attributive city of the area 2 is the grade C city, or the attributive city of the area 1 is the grade C city and the attributive city of the area 2 is the grade a city, the grade a city is divided into 1 point, and further the total point of the grade a city is determined to be 2 points, so that the attributive city of the target area is determined to be the grade a city. And if the home-level cities of the two adjacent areas of the target area comprise the second home-level city but not the first home-level city, determining that the home-level city of the target area is the second home-level city. For example: the first attribution place-level city is an A place-level city, the second attribution place-level city is a B place-level city, two adjacent areas of the target area are an area 1 and an area 2 respectively, if the attribution place-level city of the area 1 is the B place-level city and the attribution place-level city of the area 2 is the B place-level city, the B place-level city is divided into 2 points, and further the total point of the B place-level city is determined to be 3 points, so that the attribution place-level city of the target area is determined to be the B place-level city; if the home city of the area 1 is the city of level B, the home city of the area 2 is the city of level C, or the home city of the area 1 is the city of level C and the home city of the area 2 is the city of level B, the score of level B is 1, and further the total score of level B is determined to be 2, so that the home city of the target area is determined to be the city of level B.
On the basis of the above embodiment, if the home-level cities of the two adjacent target areas include neither the first home-level city nor the second home-level city, the first home-level city and the second home-level city are each integrated by 1. For example: the first attributive place-level city is a place-level A city, the second attributive place-level city is a place-level B city, two areas adjacent to the target area are an area 1 and an area 2 respectively, if the attributive place-level city of the area 1 is a place-level C city, and the attributive place-level city of the area 2 is a place-level D city, the place-level A city is divided into 1 point and the place-level B city is divided into 1 point, and then the total point of the place-level A city is determined to be 2 points, and the total point of the place-level B city is determined to be 2 points. In this case, if the number of the highest ranking cities of the attribution ranking cities of the target area is more than 1, the attribution ranking cities of the target area are not identifiable, and the output is given to manual check at this time, so that the attribution ranking cities of the target area are determined manually.
Optionally, the home-level city of the target area may be determined according to a ratio of the number of communication services corresponding to each home-level city to the number of users corresponding to each home-level city.
In this embodiment, one possible implementation manner is as follows: and determining the attribution grade city with the largest communication service frequency ratio as an attribution grade city 1 according to the communication service frequency ratio corresponding to each attribution grade city, and determining the attribution grade city with the largest user number ratio as an attribution grade city 2 according to the user number ratio corresponding to each attribution grade city. Of the home-level city 1 and the home-level city 2, the home-level city with a large proportion is the home-level city of the target area. For example: the attributive place class city 1 is a place class A city, the ratio of the number of communication services is 0.8, the attributive place class city 2 is also the place class A city, and the ratio of the number of users is 0.6, so that the ratio of the number of the communication services to the number of the communication services is larger than 0.8, and correspondingly, the attributive place class city 1 (the place class A city) is the attributive place class city of the target area.
Another possible implementation is: based on the manner of integration in the above embodiment, it is first determined that the home-level city with the largest number of times of communication services is the home-level city 1, the home-level city with the largest number of times of communication services is the home-level city 2, the home-level city with the largest number of users is the home-level city 3, the home-level city with the largest number of users is the home-level city 4, and the four home-level cities are respectively integrated by 1. And then acquiring the home-level cities of two adjacent areas of the target area, if the home-level cities of the two adjacent areas of the target area comprise a home-level city 1, or comprise a home-level city 2, or comprise a home-level city 3, or comprise a home-level city 4, correspondingly increasing the scores of the home-level city 1 or the home-level city 2, or the home-level city 3 or the home-level city 4, and determining the home-level city with the highest score as the home-level city of the target area. For example: the attributive place class city 1 is an A place class city, the attributive place class city 2 is a B place class city, the B place class city is 1, the attributive place class city 3 is the A place class city, the A place class city is 1, the total point of the A place class city is 2, the attributive place class city 4 is a C place class city, the C place class city is 1, then the attributive place class cities of two adjacent areas of the target area are both the A place class cities, and the total point of the A place class cities is 4, therefore, the A place class city is determined to be the attributive place class city of the target area.
And S308, determining the attributive city of each cell in the target area according to the attributive city of the target area.
In this embodiment, the specific implementation process of S308 may refer to the description related to the embodiment shown in fig. 2, and is not described herein again.
Based on the method of the present application, all cells are identified, and table 3 is a partial identification result.
Table 3 partial recognition results
Cell Grade city
460014226659405 Grade A city
460014227255131 Grade A city
460014227260051 Grade A city
460014240021972 City of K grade
460014240023402 City of K grade
460014258061635 Grade A city
460014258061635 Grade A city
By checking the accuracy of the identification result, only 3 cells in 284730 total cannot be identified due to too little communication traffic, and the identification rate reaches 99.99%.
According to the cell attribution identification method provided by the application, at least one item can be determined according to the mobile communication service record in the target area: the method comprises the steps of obtaining the sum of the number of communication service times of each user belonging to each attribution ground level city and the number of the users belonging to each attribution ground level city, further obtaining the number of the communication service times of each attribution ground level city and the number of the users corresponding to each attribution ground level city, then determining the attribution ground level city of a target area according to the number of the communication service times of each attribution ground level city and/or the number of the users corresponding to each attribution ground level city, further determining the attribution ground level city of each cell in the target area, therefore, the method can more accurately identify the attribution ground level city of the cell, meanwhile, the method can automatically obtain the attribution ground level city of the cell, further can ensure the integrity of the attribution ground level city of each cell, and saves the maintenance workload of the attribution ground level city of the cell.
Fig. 4 is a schematic structural diagram of a cell home location identification apparatus according to an embodiment of the present application, and as shown in fig. 4, a cell home location identification apparatus 400 according to this embodiment includes: the device comprises an acquisition module 401, a first determination module 402, a second determination module 403, a third determination module 404 and a fourth determination module 405.
An obtaining module 401, configured to obtain multiple user mobile communication service records in a target area, where the user mobile communication service records include: the method comprises the steps of identifying a user number, an identification of a target area and an identification of a cell where a user is located currently, wherein the target area is a position area or a tracking area, and the cell is located in the target area.
A first determining module 402, configured to determine, according to the subscriber number in each subscriber mobile communication service record, a home city of the subscriber number.
A second determining module 403, configured to determine, according to the home-level city of each subscriber number, a mobile communication service record of each subscriber number belonging to each home-level city from the plurality of subscriber mobile communication service records.
A third determining module 404, configured to determine a home city of the target area according to the mobile communication service record associated with each subscriber number belonging to each home city.
A fourth determining module 405, configured to determine, according to the home city of the target area, a home city of each cell in the target area.
On the basis of any of the embodiments shown above, the third determining module 404 is specifically configured to:
according to the mobile communication service record of each user number belonging to each attribution city, at least one item is determined as follows: the sum of the communication service times of all users belonging to each attribution place-level city and the number of all users belonging to each attribution place-level city; and determining the attribution city of the target area according to the sum of the communication service times of the users belonging to each attribution city and/or the number of the users belonging to each attribution city.
On the basis of any of the embodiments shown above, the third determining module 404 is specifically configured to:
determining the corresponding communication service frequency ratio of each attribution place-level city according to the sum of the communication service frequency of each user belonging to each attribution place-level city; determining the number ratio of the users corresponding to each attribution place-level city according to the number of the users belonging to each attribution place-level city; and determining the attributive place-level city of the target area according to the communication service frequency ratio corresponding to each attributive place-level city and/or the number ratio of users corresponding to each attributive place-level city.
On the basis of any of the embodiments shown above, the third determining module 404 is specifically configured to:
determining the attribution grade city with the largest communication service frequency ratio as a first attribution grade city according to the communication service frequency ratio corresponding to each attribution grade city; and if the ratio of the number of times of the communication service corresponding to the first attribution place-level city is larger than or equal to the first ratio, determining that the attribution place-level city of the target area is the first attribution place-level city.
On the basis of any of the above illustrated embodiments, the third determining module 404 is further configured to:
if the ratio of the number of times of the communication service corresponding to the first attribution place-level city is smaller than the first ratio, determining that the attribution place-level city with the largest ratio of the number of times of the communication service is a second attribution place-level city; and if the difference between the ratio of the number of times of the communication service corresponding to the first attribution place-level city and the ratio of the number of times of the communication service corresponding to the second attribution place-level city is larger than or equal to the second ratio, determining that the attribution place-level city of the target area is the first attribution place-level city.
On the basis of any of the above illustrated embodiments, the third determining module 404 is further configured to:
if the ratio of the number of communication services corresponding to the first attribution ground level city is smaller than the first ratio, and the difference between the ratio of the number of communication services corresponding to the first attribution ground level city and the ratio of the number of communication services corresponding to the second attribution ground level city is smaller than the second ratio, acquiring attribution ground level cities of two adjacent areas of the target area; if the attribution place-level cities of the two adjacent areas of the target area comprise the first attribution place-level city but not comprise the second attribution place-level city, determining that the attribution place-level city of the target area is the first attribution place-level city; and if the home-level cities of the two adjacent areas of the target area comprise the second home-level city but not the first home-level city, determining that the home-level city of the target area is the second home-level city.
The apparatus of this embodiment may be configured to implement the technical solution of any one of the above-mentioned method embodiments, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 5 is a schematic structural diagram of a cell home location identification apparatus according to another embodiment of the present application, and as shown in fig. 5, a cell home location identification apparatus 500 according to this embodiment includes: a memory 501 and a processor 502. The memory 501 and the processor 502 are connected by a bus.
The memory 501 is used to store program instructions.
The processor 502 is used to invoke the execution of program instructions in memory:
acquiring a plurality of user mobile communication service records in a target area, wherein the user mobile communication service records comprise: the method comprises the steps of identifying a user number, an identification of a target area and an identification of a cell where a user is located currently, wherein the target area is a position area or a tracking area, and the cell is located in the target area. And determining the attributive city of the user number according to the user number in each user mobile communication service record. And according to the attribution grade city of each user number, determining the mobile communication service record of each user number belonging to each attribution grade city from the mobile communication service records of the plurality of users. And determining the attributive city of the target area according to the mobile communication service record related to each user number belonging to each attributive city. And determining the attributive city of each cell in the target area according to the attributive city of the target area.
Based on any of the above embodiments, the processor 502 is specifically configured to:
according to the mobile communication service record of each user number belonging to each attribution city, at least one item is determined as follows: the sum of the communication service times of the users belonging to each attribution city and the number of the users belonging to each attribution city. And determining the attribution city of the target area according to the sum of the communication service times of the users belonging to each attribution city and/or the number of the users belonging to each attribution city.
Based on any of the above embodiments, the processor 502 is specifically configured to:
and determining the corresponding communication service frequency ratio of each attribution place class city according to the sum of the communication service frequency of each user belonging to each attribution place class city. And determining the number ratio of the users corresponding to each attribution place grade city according to the number of the users belonging to each attribution place grade city. And determining the attributive place-level city of the target area according to the communication service frequency ratio corresponding to each attributive place-level city and/or the number ratio of users corresponding to each attributive place-level city.
Based on any of the above embodiments, the processor 502 is specifically configured to:
and determining the attribution place-level city with the largest communication service frequency ratio as a first attribution place-level city according to the communication service frequency ratio corresponding to each attribution place-level city. And if the ratio of the number of times of the communication service corresponding to the first attribution place-level city is larger than or equal to the first ratio, determining that the attribution place-level city of the target area is the first attribution place-level city.
On the basis of any of the above illustrated embodiments, the processor 502 is further configured to:
and if the ratio of the number of times of the communication service corresponding to the first attribution place-level city is smaller than the first ratio, determining that the attribution place-level city with the largest ratio of the number of times of the communication service is the second attribution place-level city. And if the difference between the ratio of the number of times of the communication service corresponding to the first attribution place-level city and the ratio of the number of times of the communication service corresponding to the second attribution place-level city is larger than or equal to the second ratio, determining that the attribution place-level city of the target area is the first attribution place-level city.
On the basis of any of the above illustrated embodiments, the processor 502 is further configured to:
and if the ratio of the number of communication services corresponding to the first attribution ground level city is smaller than the first ratio, and the difference between the ratio of the number of communication services corresponding to the first attribution ground level city and the ratio of the number of communication services corresponding to the second attribution ground level city is smaller than the second ratio, acquiring the attribution ground level cities of two adjacent areas of the target area. And if the home-level cities of the two adjacent areas of the target area comprise the first home-level city but not the second home-level city, determining that the home-level city of the target area is the first home-level city. And if the home-level cities of the two adjacent areas of the target area comprise the second home-level city but not the first home-level city, determining that the home-level city of the target area is the second home-level city.
The apparatus of this embodiment may be configured to implement the technical solution of any one of the above-mentioned method embodiments, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 6 is a schematic structural diagram of a cell home location identification apparatus according to another embodiment of the present application, and as shown in fig. 6, for example, the cell home location identification apparatus 600 may be provided as a computer. Referring to fig. 6, the cell home identification apparatus 600 includes a processing component 601 that further includes one or more processors and memory resources, represented by memory 602, for storing instructions, e.g., applications, that are executable by the processing component 601. The application programs stored in memory 602 may include one or more modules that each correspond to a set of instructions. Further, the processing component 601 is configured to execute instructions to perform any of the method embodiments described above.
The cell-home identification apparatus 600 may further comprise a power supply component 603 configured to perform power management of the cell-home identification apparatus 600, a wired or wireless network interface 604 configured to connect the cell-home identification apparatus 600 to a network, and an input/output (I/O) interface 605. The cell home identification means 600 may operate based on an operating system stored in the memory 602, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM or the like.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, implements aspects of the cell home identification method as above.
The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the processor executes the computer-executable instructions, the solution of the above cell home location identification method is implemented.
The computer-readable storage medium may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in a cell home identification apparatus.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims (10)

1. A method for identifying a cell home location, comprising:
acquiring a plurality of user mobile communication service records in a target area, wherein the user mobile communication service records comprise: the method comprises the steps that a user number, an identification of a target area and an identification of a cell where a user is located currently are obtained, the target area is a position area or a tracking area, and the cell is located in the target area;
determining the attributive city of the user number according to the user number in each user mobile communication service record;
according to the attribution grade city of each user number, determining the mobile communication service record of each user number belonging to each attribution grade city from the plurality of user mobile communication service records;
determining the attributive grade city of the target area according to the mobile communication service record related to each user number belonging to each attributive grade city;
and determining the attributive city of each cell in the target area according to the attributive city of the target area.
2. The method of claim 1, wherein determining the home city of the target area according to the mobile communication service record associated with each subscriber number belonging to each home city comprises:
according to the mobile communication service record of each user number belonging to each attribution city, at least one item is determined as follows: the sum of the communication service times of all users belonging to each attribution place-level city and the number of all users belonging to each attribution place-level city;
and determining the attribution grade city of the target area according to the sum of the communication service times of the users belonging to each attribution grade city and/or the number of the users belonging to each attribution grade city.
3. The method according to claim 2, wherein the determining the home city of the target area according to the sum of the communication service times of the users belonging to each home city and/or the number of the users belonging to each home city comprises:
determining the corresponding communication service frequency ratio of each attribution place-level city according to the sum of the communication service frequency of each user belonging to each attribution place-level city;
determining the number ratio of the users corresponding to each attribution place-level city according to the number of the users belonging to each attribution place-level city;
and determining the attributive place-level city of the target area according to the communication service frequency ratio corresponding to each attributive place-level city and/or the number ratio of users corresponding to each attributive place-level city.
4. The method according to claim 3, wherein the determining the home-level city of the target area according to the ratio of the number of communication services corresponding to each home-level city comprises:
determining the attribution grade city with the largest communication service frequency ratio as a first attribution grade city according to the communication service frequency ratio corresponding to each attribution grade city;
and if the ratio of the number of times of communication services corresponding to the first attribution place-level city is greater than or equal to a first ratio, determining that the attribution place-level city of the target area is the first attribution place-level city.
5. The method of claim 4, further comprising:
if the ratio of the number of times of the communication service corresponding to the first attribution place-level city is smaller than the first ratio, determining that the attribution place-level city with the largest ratio of the number of times of the communication service is a second attribution place-level city;
and if the difference between the ratio of the number of times of the communication service corresponding to the first attribution place-level city and the ratio of the number of times of the communication service corresponding to the second attribution place-level city is larger than or equal to a second ratio, determining that the attribution place-level city of the target area is the first attribution place-level city.
6. The method of claim 5, further comprising:
if the ratio of the number of communication services corresponding to the first attribution ground level city is smaller than a first ratio, and the difference between the ratio of the number of communication services corresponding to the first attribution ground level city and the ratio of the number of communication services corresponding to the second attribution ground level city is smaller than a second ratio, acquiring attribution ground level cities of two adjacent areas of the target area;
if the home-level cities of the two adjacent areas of the target area comprise a first home-level city but not a second home-level city, determining that the home-level city of the target area is the first home-level city;
and if the home-level cities of the two adjacent areas of the target area comprise a second home-level city but not a first home-level city, determining that the home-level city of the target area is the second home-level city.
7. A cell home location identifying apparatus, comprising:
an obtaining module, configured to obtain multiple user mobile communication service records in a target area, where the user mobile communication service records include: the method comprises the steps that a user number, an identification of a target area and an identification of a cell where a user is located currently are obtained, the target area is a position area or a tracking area, and the cell is located in the target area;
a first determining module, configured to determine, according to the user number in each of the user mobile communication service records, a home city of the user number;
a second determining module, configured to determine, according to the home city of each subscriber number, a mobile communication service record of each subscriber number belonging to each home city from the multiple subscriber mobile communication service records;
a third determining module, configured to determine, according to a mobile communication service record related to each user number belonging to each home city, a home city of the target area;
and the fourth determining module is used for determining the attribution grade city of each cell in the target area according to the attribution grade city of the target area.
8. A cell home location identifying apparatus, comprising: a memory and a processor;
the memory is to store program instructions;
the processor is configured to invoke program instructions in the memory to perform the cell home identification method of any of claims 1-6.
9. A computer-readable storage medium having computer program instructions stored therein which, when executed, implement the cell home identification method of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, is adapted to carry out the cell home identification method of any of claims 1-6.
CN202011589342.3A 2020-12-28 2020-12-28 Cell home location identification method and device Active CN112752252B (en)

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