CN110708706B - Area evaluation method, apparatus and storage medium - Google Patents
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Abstract
The application provides a region evaluation method, a device and a storage medium, wherein the method comprises the steps of obtaining O domain data of a plurality of users; determining respective service types of a plurality of users according to respective O domain data of the plurality of users; according to the service type of each user, attributing the service of each user to a plurality of cells; the average revenue per user ARPU for each cell is determined based on the traffic on each cell. The accuracy of the ARPU calculation of each cell is improved, and the accuracy of the regional value evaluation can be effectively improved.
Description
Technical Field
The present application relates to the field of wireless communications technologies, and in particular, to a method, a device, and a storage medium for area estimation.
Background
With the increasing competition of mobile markets, the problem of wide coverage is basically solved, but in a scenario of large-scale development of Voice over LTE (Voice over LTE) and video services based on IMS, the problem of deep coverage increasingly presents a fragmentation trend, and is difficult to accurately identify and high in construction cost, and operators often give priority to high-value areas when planning and constructing base stations, so that research on evaluation methods for high-value areas by people is more and more concerned by people. Due to the characteristic of mobility of the wireless mobile network, users cannot be really gathered to a certain cell or a base station, so that the value evaluation difficulty of the cell is extremely high.
In the prior art, the value of an operator to a cell or a grid is generally measured by traffic, and the larger the traffic of the cell or the grid is, the higher the value of the cell or the grid is, and the smaller the traffic of the cell or the grid is, the lower the value of the cell or the grid is.
However, in the prior art, a large part of traffic is generated by low package or low value users, and the accuracy of measuring regional value by simply according to the traffic is poor.
Disclosure of Invention
The embodiment of the application provides a region evaluation method, a device and a storage medium, so that the evaluation of region value is realized, and the accuracy of the evaluation of the region value is improved.
In a first aspect, an embodiment of the present application provides a region assessment method, including:
acquiring O domain data of a plurality of users;
determining respective service types of a plurality of users according to respective O domain data of the plurality of users;
according to the service type of each user, attributing the service of each user to a plurality of cells;
the average revenue ARPU per user per cell is determined based on the traffic on each cell.
In the embodiment of the application, the service types corresponding to the users are determined according to the O domain data of the users, the service of each user is assigned to the cells according to the service type of each user, and the average income (ARPU) of each user of each cell is determined according to the service of each cell, so that the ARPU calculation accuracy of each cell is improved, and the accuracy of regional value evaluation can be effectively improved.
In one implementation, obtaining respective O-domain data for a plurality of users includes:
and acquiring O domain data of each of the plurality of users according to the number of each of the plurality of users.
In one implementable manner, the service type is a data service type and/or a voice service type;
correspondingly, according to the service type of each user, attributing the service of each user to a plurality of cells comprises the following steps:
if the service type of each user is a data service type, attributing the service of each user to N4G cells; if the service type of each user is a voice service type, the service of each user is attributed to N2G or 3G cells; and if the service type of each user is a data service type and a voice service type, attributing the service of each user to N4G cells and N2G cells, or attributing the service of each user to N4G cells and N3G cells, wherein N is an integer greater than 1.
The embodiment of the application realizes the attribution division of the service of each user when the service type only comprises the data service type, when the service type only comprises the voice service type and when the service type is the data service type and the voice service type, thereby improving the accuracy of the service division of each cell.
Optionally, before attributing the service of each user to N4G cells and N2G cells, or attributing the service to N4G cells and N3G cells, the method further includes:
acquiring the ARPU proportion of the data service and the voice service of each user;
correspondingly, attributing the service of each user to N4G cells and N2G cells, or to N4G cells and N3G cells, includes:
and attributing the service of each user to N4G cells and N2G cells or to N4G cells and N3G cells according to the ARPU proportion.
In the embodiment of the application, the service attribution reliability of each user is improved by acquiring the ARPU proportion of the data service and the voice service of each user and attributing the service of each user to N4G cells and N2G cells or to N4G cells and N3G cells according to the ARPU proportion.
Optionally, obtaining the ARPU ratio of the data service and the voice service of each user includes:
calculating the product of the call duration and the 4G rate factor in the voice service of each user to obtain an equivalent data service corresponding to the voice service;
determining the ARPU of the data service of each user according to the total ARPU, the data service and the equivalent data service of each user;
determining the ARPU of the voice service of each user, wherein the ARPU of the voice service of each user is the difference between the total ARPU of each user and the ARPU of the data service of each user;
and determining the ARPU proportion according to the ARPU of the data service of each user and the ARPU of the voice service of each user.
In one implementable form, determining the ARPU for the data traffic for each user based on the total ARPU, the data traffic, and the equivalent data traffic for each user comprises:
the ARPU of the data traffic of each user is the total ARPU of each user/(data traffic + equivalent data traffic).
In one implementation, determining the ARPU ratio based on the ARPU for data traffic of each user and the ARPU for voice traffic of each user includes:
determining at least one ratio between the ARPUs of the data services of the plurality of users and the ARPUs of the voice services of the plurality of users within at least one preset time; determining the ARPU proportion through at least one ratio.
In one implementable form, determining an average revenue per user ARPU for each cell based on traffic on each cell comprises:
for each user, determining the service proportion of each cell in a plurality of cells;
and determining the ARPU of each cell according to the corresponding service occupation ratio of each cell.
Optionally, the area evaluation method provided in the embodiment of the present application further includes:
acquiring B domain data of a plurality of users;
determining respective grades of a plurality of users according to the ARPU and the network access duration in the B domain data of the users;
and determining the number of users in each cell and/or the number of users with the grade larger than the preset grade.
Optionally, after determining the average income per user ARPU of each cell according to the service on each cell, the method further includes:
and determining the respective ARPU of at least one grid according to the corresponding relation between the plurality of cells and at least one grid and the ARPU of each cell.
Optionally, after determining the number of users in each cell and/or the number of users with a level greater than a preset level, the method further includes:
and determining the number of users on at least one grid and/or the number of users with the grade higher than the preset grade according to the corresponding relation between the plurality of cells and at least one grid and the number of users with the number of users and/or the grade higher than the preset grade on each cell.
The content and effect of the device, the readable storage medium, and the computer program product provided in the embodiments of the present application are described below with reference to the area assessment method provided in the first aspect and the optional manner of the first aspect, and are not described again.
In a second aspect, an embodiment of the present application provides an apparatus, including:
a processor; a memory; and a computer program;
wherein a computer program is stored in the memory and configured to be executed by the processor, the computer program comprising instructions for performing the region assessment method as described in the first aspect and alternatives of the first aspect.
In a third aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored, and the computer program enables a server to execute the area assessment method provided in the first aspect and the optional manner of the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer program product, including: executable instructions for implementing the region assessment method as provided in the first aspect or the first aspect alternatives.
According to the area evaluation method, the equipment and the storage medium provided by the embodiment of the application, the O-domain data of each of a plurality of users is acquired; then determining respective service types of the plurality of users according to respective O domain data of the plurality of users; then according to the service type of each user, attributing the service of each user to a plurality of cells; and finally, determining the average income ARPU of each user of each cell according to the service on each cell. The service types corresponding to the users are determined according to the O domain data of the users, the service of each user is assigned to the cells according to the service type of each user, and the ARPU of each cell is determined according to the service of each cell, so that the ARPU calculation accuracy of each cell is improved, and the accuracy of regional value evaluation can be effectively improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can obtain other drawings based on the drawings without inventive labor.
FIG. 1 is a diagram of an exemplary application scenario provided by an embodiment of the present application;
fig. 2 is a schematic flow chart of a region assessment method according to an embodiment of the present application;
FIG. 3 is a schematic flow chart diagram of a region assessment method according to another embodiment of the present application;
FIG. 4 is a schematic flow chart diagram illustrating a region assessment method according to yet another embodiment of the present application;
FIG. 5 is a flowchart illustrating a region assessment method according to yet another embodiment of the present application;
fig. 6 is a schematic structural diagram of an apparatus provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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 invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
With the increasing competition of the mobile market, the problem of wide coverage is basically solved, but in the scene of large-scale development of voice services and video services based on the IMS, the problem of deep coverage increasingly presents a fragmentation trend, and is difficult to accurately identify and high in construction cost, and operators often give priority to high-value areas when planning and constructing base stations, so that people are more and more concerned about the research of evaluation methods of the high-value areas. Due to the characteristic of mobility of the wireless mobile network, users cannot be really gathered to a certain cell or a base station, so that the value evaluation difficulty of the cell is extremely high. In the prior art, the value of an operator to a cell and a grid is usually measured by traffic, and since a large part of traffic is generated by low package or low value users, it is relatively poor to measure the regional value only by the traffic. In order to solve the foregoing technical problem, embodiments of the present application provide a region assessment method, device, and storage medium.
An exemplary application scenario of the embodiments of the present application is described below.
The area evaluation method provided by the embodiment of the present application may be executed by the device provided by the embodiment of the present application, the device provided by the embodiment of the present application may be part or all of a terminal device, and fig. 1 is an exemplary application scenario diagram provided by the embodiment of the present application, as shown in fig. 1, the area evaluation method provided by the embodiment of the present application may be applied to a terminal device 11, the terminal device 11 and a server 12 have data communication, and the terminal device 11 may obtain O domain data of each of a plurality of users and B domain data of each of the plurality of users through the server 12, which is not limited in the embodiment of the present application. The embodiment of the application does not limit the type of the terminal device and the type of the server, for example, the terminal device may be a smart phone, a personal computer, a tablet computer, a wearable device, a vehicle-mounted terminal, or the like.
Fig. 2 is a schematic flowchart of a region assessment method according to an embodiment of the present application, where the method may be performed by an apparatus according to an embodiment of the present application, and the apparatus may be implemented by software and/or hardware, for example: the device may be a personal computer, a smart phone, a user terminal, a tablet computer, a wearable device, and the like, and the region assessment method is described below with the terminal device as an execution subject, as shown in fig. 2, the region assessment method provided in the embodiment of the present application may include:
step S101: o-domain data of each of a plurality of users is acquired.
The big data field of the telecommunication industry comprises three big data fields, namely B field data, O field data and M field data, wherein the B field data comprises user data and service data, such as consumption habits of users, terminal information, ARPU (architecture oriented programming) groups, service contents, service audience groups and the like. The O domain data includes network data, such as signaling, alarm, fault, network resource, etc. The M-domain data has position information, such as crowd flow tracks, map information, and the like.
The O-domain data in this embodiment of the present application may include traffic data generated by each user in one month in each 4G cell, a call duration of each user in each 2G/3G cell, an attribution relationship between each cell and a grid, and the like.
In addition, a specific implementation manner of how to obtain the respective O-domain data of the multiple users is not limited in this application embodiment, and in a possible implementation manner, obtaining the respective O-domain data of the multiple users may be obtained by respective identifiers of the multiple users, and in this application embodiment, a specific form of the identifier of the user is not limited, for example, the identifier may be a device number, an IP address, and the like of the user, and in another possible implementation manner, obtaining the respective O-domain data of the multiple users may include: and acquiring O domain data of each of the plurality of users according to the number of each of the plurality of users.
Illustratively, the O-domain data such as traffic data, call duration, etc. of each user may be determined by the respective number of each user.
Step S102: and determining the service types of the users according to the O domain data of the users.
The O-domain data corresponding to each user is different, for example, the O-domain data includes traffic data and call duration of the user, and the traffic data and the call duration generated by each user are different greatly for different crowds. In the embodiment of the application, the service types of the multiple users are determined according to the O domain data of the multiple users, and the service types of the multiple users can be judged according to the flow data range and the call duration range. In one possible embodiment, the traffic type is a data traffic type and/or a voice traffic type.
Determining the service types of the multiple users according to the range of the traffic data and the range of the call duration, which may include: the service types of the users of which the flow data is greater than the flow threshold and the call duration is greater than the call threshold are a data service type and a voice service type; the service type of the user with the flow data larger than the flow threshold and the call duration smaller than or equal to the call threshold is a data service type; the service type of the user with the call duration being greater than the call threshold and the flow data being less than or equal to the flow threshold is a voice service type. The embodiment of the present application does not limit the specific values of the traffic threshold and the call threshold, for example, the traffic threshold is 10 Megabytes (MB), and the call threshold is 10 minutes. The application is not so limited.
Step S103: and according to the service type of each user, attributing the service of each user to a plurality of cells.
After determining the service type of each user, attributing the service of each user to a plurality of cells aiming at the users with different service types. In one implementation, the service type is a data service type and/or a voice service type; correspondingly, according to the service type of each user, attributing the service of each user to a plurality of cells comprises the following steps:
if the service type of each user is a data service type, attributing the service of each user to N4G cells; if the service type of each user is a voice service type, attributing the service of each user to N2G or 3G cells; if the service type of each user is a data service type and a voice service type, attributing the service of each user to N4G cells and N2G cells, or attributing the service of each user to N4G cells and N3G cells, wherein N is an integer greater than 1.
Aiming at a user with a service type of data service, attributing the service of the user to N4G cells, sequencing the flow data generated by each user in each cell from high to low, selecting the first N cells as 4G contribution cells, and attributing the service of each user to N4G cells; and aiming at the user with the service type of voice service, attributing the service of the user to N2G or 3G cells, sequencing the call duration generated by each user in each cell from high to low, selecting the first N cells as 2G or 3G contribution cells, and attributing the service of each user to N2G or 3G cells. For users with service types of data service type and voice service type, the service of each user is attributed to N4G cells and N2G cells, or to N4G cells and N3G cells by sorting the flow data generated by each user in each cell from high to low, selecting the first N cells as 4G contributing cells, sorting the call duration generated by each user in each cell from high to low, selecting the first N cells as 2G or 3G contributing cells.
In addition, the specific value of N is not limited in this application embodiment, and may be specifically selected according to an actual need, and in a possible implementation manner, N is 10, which is not limited in this application embodiment.
The embodiment of the application realizes the attribution division of the service of each user when the service type only comprises the data service type, when the service type only comprises the voice service type and when the service type is the data service type and the voice service type, thereby improving the accuracy of the service division of each cell.
In order to implement that when the service type of each user is a data service type and a voice service type, the method includes, before attributing the service of each user to N4G cells and N2G cells, or attributing the service of each user to N4G cells and N3G cells, the method further includes:
acquiring the ARPU proportion of data service and voice service of each user; correspondingly, attributing the service of each user to N4G cells and N2G cells, or to N4G cells and N3G cells, includes: and attributing the service of each user to N4G cells and N2G cells or to N4G cells and N3G cells according to the ARPU proportion.
The ARPU ratio of the data service and the voice service of each user may be obtained by presetting, or may be calculated by the data service and the voice service of each user, so as to obtain the ARPU ratio of the data service and the voice service of each user, and the embodiment of the present application is not limited to a specific implementation manner of obtaining the ARPU ratio of the data service and the voice service of each user, and in a possible implementation manner, obtaining the ARPU ratio of the data service and the voice service of each user includes:
calculating the product of the call duration and the 4G rate factor in the voice service of each user to obtain an equivalent data service corresponding to the voice service; determining the ARPU of the data service of each user according to the total ARPU, the data service and the equivalent data service of each user; determining the ARPU of the voice service of each user, wherein the ARPU of the voice service of each user is the difference between the total ARPU of each user and the ARPU of the data service of each user; and determining the ARPU proportion according to the ARPU of the data service of each user and the ARPU of the voice service of each user.
The equivalent data service corresponding to the voice service can be realized by establishing a voice equivalent flow model, wherein the equivalent data service corresponding to the voice service is equal to the product of the call duration and a 4G rate factor, and the 4G rate factor is equal to the product of a 3G rate factor and a relative coefficient (4G/3G).
3G Rate factor: based on 3G network voice traffic and traffic equivalent resource consumption analysis, a one hour single voice service dialing produces 1 ireland (erl) traffic equivalent to the load consumption of one hour 50 kilobits per second (kbps) download. I.e., the 3G rate factor is 50 kbps. Relative coefficient (4G/3G): based on the density principle, under the condition that pipeline resources are not changed and the efficiency of bandwidth and coding technology is improved, under the same condition, the 4G resource consumption is in direct proportion to the single carrier peak rate compared with the 3G resource consumption. Namely: the relative coefficient (4G/3G) is 4G single carrier peak rate/3G single carrier peak rate 150Mbps/21Mbps 7.14.
On this basis, the ARPU of the data service of each user is determined according to the total ARPU, the data service and the equivalent data service of each user, and in a possible implementation, the ARPU of the data service of each user can be calculated by the following formula:
ARPU of data service for each user
Total ARPU data traffic (MB)/(data traffic (MB) + equivalent data traffic per user)
Total ARPU per user data traffic (MB)/(data traffic (MB) + talk duration (sec) × 50kbps × 7.14/1024).
Wherein the data traffic comprises traffic data. After determining the ARPU of the data service of each user, the ARPU of the voice service of each user can be obtained by calculating the difference between the total ARPU of each user and the ARPU of the data service of each user, and the specific formula is as follows:
ARPU of voice service per user-ARPU of data service per user.
After determining the ARPU of the data service of each user and the ARPU of the voice service of each user, the embodiment of the present application does not limit the specific implementation manner of determining the ARPU ratio according to the ARPU of the data service of each user and the ARPU of the voice service of each user. In one implementation, determining the ARPU ratio according to ARPU of data service of each user and ARPU of voice service of each user includes:
determining at least one ratio between the ARPUs of the data services of the plurality of users and the ARPUs of the voice services of the plurality of users within at least one preset time; determining the ARPU proportion through at least one ratio.
For example, determining a ratio between ARPUs of data services of a plurality of users in a month and ARPUs of voice services of the plurality of users in the month, or a ratio of ARPUs of data services, determining an ARPU ratio; for another example, a plurality of ratios between ARPUs of data services of a plurality of subscribers in each month and ARPUs of voice services of the plurality of subscribers in the month, or ratios of ARPUs of a plurality of data services in a plurality of months are determined, and the ARPU ratio is determined by calculating an average value between the plurality of ratios, or an average value of the ratios of ARPUs of a plurality of data services.
For different regions, different months, different crowds, and the like, the ARPU ratio may be different, and the specific value of the ARPU ratio is not limited in the embodiment of the present application, and in a possible implementation manner, the ARPU ratio is 9: 1. namely, according to 9: 1 attributing the service of each user to N4G cells and N2G cells or attributing the service to N4G cells and N3G cells.
In the embodiment of the application, the reliability of the service attribution of each user is improved by acquiring the ARPU proportion of the data service and the voice service of each user and attributing the service of each user to N4G cells and N2G cells or to N4G cells and N3G cells according to the ARPU proportion.
Step S104: and determining the ARPU of each cell according to the service on each cell.
The embodiment of the present application does not limit the specific implementation manner of determining the ARPU of each cell according to the service on each cell, and in a possible implementation manner, the ARPU of each cell may be determined by a preset rule. For example, determining ARPU for each cell based on traffic on each cell includes:
for each user, determining the corresponding service proportion of each cell in a plurality of cells; and determining the ARPU of each cell according to the corresponding service occupation ratio of each cell.
Exemplarily, for a user with a data service type, attributing the service of the user to N4G cells, calculating the traffic ratio of the user in each of the N4G cells, and determining the ARPU contribution of the user in each cell according to the traffic ratio of each cell; for a user with a voice service type, the service of the user is assigned to N2G or 3G cells, the call duration ratio of each cell in the N2G or 3G cells is calculated, and the ARPU contribution of the user to each cell is determined according to the call duration ratio of each cell.
Aiming at users with the service types of data service type and voice service type, the service of each user is attributed to N4G cells and N2G cells, or attributed to N4G cells and N3G cells, the traffic proportion of the user in each cell of the N4G cells and the call duration proportion of each cell of the N2G or 3G cells are calculated, and the ARPU contribution of the user to each cell is determined according to the traffic proportion of each cell or the call duration of each cell.
After determining the corresponding service proportion of each user in each cell, aggregating the users belonging to each cell to determine the ARPU of each cell.
Illustratively, to calculate ARPU for a certain 4G cell, and the ARPU ratio is 9: taking 1 as an example, summing up service occupation ratios of ARPU users of users with service types of data service in the 4G cell, and summing up service occupation ratios of ARPU users of users with service types of data service and voice service in the 4G cell by 90%, and finally obtaining ARPU of the 4G cell. To calculate ARPU for a certain 2G cell, and ARPU ratio is 9: taking 1 as an example, the service occupation ratios of the ARPU users of the users with the service types of voice service in the 2G cell are summed, and the service occupation ratios of the ARPU users of the users with the service types of data service and voice service in the 2G cell are summed to finally obtain the ARPU of the 2G cell.
According to the method and the device, the service types corresponding to the users are determined according to the O domain data of the users, the service of each user is assigned to the cells according to the service type of each user, and the ARPU of each cell is determined according to the service of each cell, so that the ARPU calculation accuracy of each cell is improved, and the accuracy of regional value evaluation can be effectively improved.
In a possible implementation manner, fig. 3 is a schematic flow chart of a region assessment method provided in another embodiment of the present application, which may be executed by an apparatus provided in an embodiment of the present application, and the apparatus may be implemented by software and/or hardware, for example: the device may be a personal computer, a smart phone, a user terminal, a tablet computer, a wearable device, and the like, and the area assessment method is described below with the terminal device as an execution subject, as shown in fig. 3, after step S104, that is, after determining the ARPU of each cell according to the service on each cell, the area assessment method provided in the embodiment of the present application may further include:
step S201: and determining the ARPU of each grid according to the corresponding relation between the plurality of cells and the at least one grid and the ARPU of each cell.
A plurality of cells may be included in one grid, and the number of cells in each grid may be different for different areas and locations. The corresponding relation between the cells and the grids can determine the grid to which each cell belongs and the cells included in each grid, and after determining the ARPU of each cell, the ARPU of the grid can be determined by summing the ARPUs of at least one cell in each grid. The embodiment of the present application does not limit this.
In a possible implementation manner, fig. 4 is a flowchart of a region assessment method provided in another embodiment of the present application, where the method may be executed by a device provided in the embodiment of the present application, and the device may be implemented by software and/or hardware, for example: the device may be a personal computer, a smart phone, a user terminal, a tablet computer, a wearable device, and the like, and the region assessment method is described below with the terminal device as an execution subject, as shown in fig. 4, the region assessment method provided in the embodiment of the present application may further include:
step S301: b-domain data of each of a plurality of users is acquired.
In a possible implementation manner, the B domain data may include a number, an ARPU, an access duration, a monthly average traffic consumption amount of each user, a monthly call duration of each user, and the like.
Step S302: and determining the respective grades of the multiple users according to the ARPU and the network access duration in the B domain data of the multiple users.
In a possible implementation manner, the rank of each user may be determined by calculating an average ARPU of each user, and for a user with an access duration of less than 12 months, for example, the average ARPU of each user is accumulated from an access month to a month before an evaluation month; for the users with the network access duration being more than or equal to 12 months, the average ARPU of each user is evaluated as the accumulated expenditure/12 of going back 12 months before the month. After the average ARPU of each user is determined, the rank of each user can be judged by setting different preset threshold intervals. In another possible implementation manner, different ranking coefficients may also be set according to the network access time length of the user and the history ranking of the user, for example, the longer the network access time length of the user is, the higher the history ranking is, the larger the ranking coefficient may be set, so as to increase the ranking of the user.
Step S303: and determining the number of users in each cell and/or the number of users with the grade larger than the preset grade.
The number of users in each cell is determined by performing cumulative calculation according to the service occupation ratio of a plurality of users in the cell, the number of users with a grade higher than a preset grade is determined, and the number of users with a grade higher than the preset grade can be performed by performing cumulative calculation according to the service occupation ratio of a plurality of users with a grade higher than the preset grade in the cell.
In a possible implementation manner, fig. 5 is a flowchart of a region assessment method provided in another embodiment of the present application, where the method may be executed by a device provided in an embodiment of the present application, and the device may be implemented by software and/or hardware, for example: the device may be a personal computer, a smart phone, a user terminal, a tablet computer, a wearable device, or the like, and the region assessment method is described below with the terminal device as an execution subject, as shown in fig. 5, the region assessment method provided in the embodiment of the present application may further include, after step S303:
step S401: and determining the number of users on at least one grid and/or the number of users with the grade higher than the preset grade according to the corresponding relation between the plurality of cells and at least one grid and the number of users with the number of users and/or the grade higher than the preset grade on each cell.
According to the corresponding relation between each cell and at least one grid, the cell contained in each grid can be determined, and then the number of users on each grid can be determined by accumulating the number of users on each cell contained in each grid; or, the number of users with the grade larger than the preset grade on each grid is determined by accumulating the number of users with the grade larger than the preset grade on each cell contained in each grid.
Fig. 6 is a schematic structural diagram of an apparatus provided in an embodiment of the present application, and as shown in fig. 6, the apparatus includes:
a processor 61, a memory 62, a transceiver 63 and a computer program; wherein the transceiver 63 enables data transmission with other devices, a computer program is stored in the memory 62 and configured to be executed by the processor 61, the computer program comprising instructions for performing the above-mentioned area assessment method, the contents and effects of which refer to the method embodiments.
In addition, embodiments of the present application further provide a computer-readable storage medium, in which computer-executable instructions are stored, and when at least one processor of the user equipment executes the computer-executable instructions, the user equipment executes the above-mentioned various possible methods.
Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device.
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 to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled 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 these modifications or substitutions do not depart from the spirit of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for regional assessment, comprising:
acquiring O domain data of a plurality of users;
determining respective service types of the plurality of users according to respective O domain data of the plurality of users;
according to the service type of each user, attributing the service of each user to a plurality of cells;
determining the average income ARPU of each user of each cell according to the service on each cell;
the service types comprise data service types and voice service types;
correspondingly, the attributing the service of each user to multiple cells according to the service type of each user includes:
if the service type of each user is a data service type, attributing the service of each user to N4G cells;
if the service type of each user is a voice service type, attributing the service of each user to N2G or 3G cells;
if the service type of each user is a data service type and a voice service type, attributing the service of each user to N4G cells and N2G cells, or attributing the service of each user to N4G cells and N3G cells, wherein N is an integer greater than 1;
before attributing the service of each user to N4G cells and N2G cells, or attributing the service to N4G cells and N3G cells, the method further includes:
acquiring the ARPU proportion of the data service and the voice service of each user;
correspondingly, the attributing the service of each user to N4G cells and N2G cells, or to N4G cells and N3G cells includes:
according to the ARPU proportion, the service of each user is attributed to N4G cells and N2G cells or attributed to N4G cells and N3G cells;
the determining an average revenue per user ARPU for each cell according to the traffic on each cell comprises:
for each user, determining the service proportion of each cell in the plurality of cells;
and determining the ARPU of each cell according to the service proportion corresponding to each cell.
2. The method of claim 1, wherein obtaining the respective O-domain data of the plurality of users comprises:
and acquiring O domain data of the users according to the numbers of the users.
3. The method of claim 1, wherein the obtaining the ARPU ratio of the data traffic and the voice traffic of each of the users comprises:
calculating the product of the call duration and the 4G rate factor in the voice service of each user to obtain an equivalent data service corresponding to the voice service;
determining the ARPU of the data service of each user according to the total ARPU of each user, the data service and the equivalent data service;
determining the ARPU of the voice service of each user, wherein the ARPU of the voice service of each user is the difference of the total ARPU of each user and the ARPU of the data service of each user;
and determining the ARPU proportion according to the ARPU of the data service of each user and the ARPU of the voice service of each user.
4. The method of claim 3, wherein determining the ARPU for the data traffic for each of the users based on the total ARPU, the data traffic, and the equivalent data traffic for each of the users comprises:
ARPU of data traffic per said subscriber = total ARPU per said subscriber said data traffic/(said data traffic + said equivalent data traffic).
5. The method of claim 4, wherein determining the ARPU ratio based on ARPU for data traffic of each of the subscribers and ARPU for voice traffic of each of the subscribers comprises:
determining at least one ratio between the ARPUs of the data services of the plurality of users and the ARPUs of the voice services of the plurality of users within at least one preset time;
determining the ARPU proportion through the at least one ratio.
6. The method of claim 1 or 2, further comprising:
acquiring the respective B domain data of the plurality of users;
determining respective grades of the multiple users according to the ARPU and the network access duration in the B domain data of the multiple users;
and determining the number of users in each cell and/or the number of users with the grade larger than a preset grade.
7. The method of claim 1 or 2, wherein after determining an Average Revenue Per User (ARPU) for each of the cells based on traffic on each of the cells, further comprising:
and determining the respective ARPU of the at least one grid according to the corresponding relation between the plurality of cells and the at least one grid and the ARPU of each cell.
8. The method of claim 6, wherein after determining the number of users on each of the cells and/or the number of users with the rank greater than a preset rank, further comprising:
and determining the number of users on the at least one grid and/or the number of users with the grade larger than a preset grade according to the corresponding relation between the plurality of cells and the at least one grid and the number of users with the grade larger than the preset grade on each cell and/or the number of users with the grade larger than the preset grade.
9. An apparatus for regional assessment, comprising:
a processor;
a memory storing a computer program;
wherein the computer program is configured to implement the method of any of claims 1-8 when executed by the processor.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program configured to implement the method of any of claims 1-8 when executed by a processor.
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