Base station revenue prediction method, device, medium and electronic equipment

Abstract

The present disclosure provides a base station revenue prediction method, device, medium and electronic device, which relates to the technical field of wireless communication technology. The base station revenue prediction method includes: determining the coverage area of ​​the base station to be built according to the base station parameters of the base station to be built, and determining the scene area provided with services by the base station to be built in the coverage area; determining the revenue of the scene area in the target period and the estimated revenue growth coefficient in the prediction period according to the characteristic data of the existing base stations in the coverage area; obtaining the estimated revenue of the base station to be built in the prediction period according to the revenue of the scene area in the target period and the estimated revenue growth coefficient in the prediction period. The present disclosure provides a base station revenue prediction method, which can include the estimated revenue of the base station to be built into the reference indicator in the base station planning stage, so as to facilitate more reasonable planning of the base station to be built.

Description

Background Art

[0002] With the development of mobile communication technology, the infrastructure supporting mobile communication technology also needs to be constantly updated. Base stations are the most important infrastructure in the wireless communication process. Before the base stations are deployed, it is usually necessary to plan the deployment location and number of base stations in order to better provide communication services to users.

[0003] In related technologies, planning work before base station deployment is usually carried out with improving base station coverage or base station capacity as a reference indicator. After the base station is built, the base station can cover a larger area or serve more users.

[0004] However, during the base station planning process, if only the base station coverage rate or base station capacity is considered, after the base station is built, although the coverage area of ​​the base station is guaranteed or the number of serviceable users is increased, there will usually be a waste of base station network resources, causing economic losses to the operator. Summary of the invention

[0005] The present disclosure provides a base station revenue prediction method, a base station revenue prediction device, a computer-readable storage medium and an electronic device, which can incorporate the estimated revenue of a base station to be built into a reference indicator in the base station planning stage, so as to facilitate more reasonable planning of the base station to be built.

[0006] According to a first aspect of the present disclosure, a base station revenue prediction method is provided, comprising:

[0007] Determine the coverage area of ​​the base station to be built according to the base station parameters of the base station to be built, and determine the scene area provided by the base station to be built in the coverage area;

[0008] Determine the revenue of the scenario area in the target period and the estimated revenue growth coefficient in the forecast period based on the characteristic data of the existing base stations in the coverage area, where the forecast period is the next time period of the target period;

[0009] According to the revenue of the scenario area in the target period and the estimated revenue growth coefficient of the forecast period, the estimated revenue of the base station to be built in the forecast period is obtained.

[0010] According to a second aspect of the present disclosure, a base station revenue prediction device is provided, comprising:

[0011] A first determination module is configured to determine a coverage area of ​​the base station to be built according to base station parameters of the base station to be built, and determine a scenario area provided with services by the base station to be built in the coverage area;

[0012] A second determination module is configured to determine the revenue of the scenario area in the target period and the estimated revenue growth coefficient in the prediction period according to the characteristic data of the existing base stations in the coverage area, and the prediction period is the next time period of the target period;

[0013] The third determination module is configured to obtain the estimated revenue of the base station to be built in the prediction period according to the revenue of the scene area in the target period and the estimated revenue growth coefficient of the prediction period.

[0014] According to a third aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the base station revenue prediction method of the first aspect is implemented.

[0015] According to a fourth aspect of the present disclosure, there is provided an electronic device, including:

[0016] Processor; and

[0017] A memory for storing executable instructions of the processor;

[0018] The processor is configured to execute the base station revenue prediction method of the first aspect by executing executable instructions.

[0019] The technical solution disclosed in this disclosure has the following beneficial effects:

[0020] The disclosed embodiments provide a base station revenue prediction method, a base station revenue prediction device, a computer-readable storage medium and an electronic device. The base station revenue prediction method can determine the revenue of the scenario area and an estimated revenue growth coefficient based on the scenario area of ​​the service scenario in which the base station to be built can provide communication services in the coverage area of ​​the base station to be built, and based on the characteristic data of the existing base stations in the coverage area of ​​the base station to be built. The estimated revenue of the base station to be built is obtained based on the revenue of the scenario area and the estimated revenue growth coefficient. On the one hand, the estimated revenue of the base station to be built can be included in the reference indicator of the base station planning stage to facilitate more reasonable planning of the base station to be built; on the other hand, the revenue of the scenario that can be served by the base station to be built is included in the revenue estimation process of the base station to be built, so as to improve the accuracy of the determined estimated revenue of the base station to be built and enhance the rationality of the guiding role of the estimated revenue of the base station to be built in the base station planning.

[0021] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure. Obviously, the drawings described below are only some embodiments of the present disclosure, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1A flow chart showing a base station revenue prediction method in this exemplary embodiment is shown;

[0024] Figure 2 A schematic flow chart of a method for determining the revenue of a scene area in a target period in this exemplary embodiment is shown;

[0025] Figure 3 A schematic flow chart of a method for determining a first revenue of a second base station in a joint base station in a target period in this exemplary embodiment is shown;

[0026] Figure 4 A schematic diagram showing an association relationship diagram of a joint base station in this exemplary embodiment;

[0027] Figure 5 A schematic flow chart of a method for determining a second revenue of a second base station in a joint base station in a target period in this exemplary embodiment is shown;

[0028] Figure 6 A flow chart of a method for determining a revenue growth coefficient of a scene area in a forecast period in this exemplary embodiment is shown;

[0029] Figure 7 A schematic diagram showing the structure of a base station revenue prediction device in this exemplary embodiment is shown;

[0030] Figure 8 A schematic structural diagram of an electronic device in this exemplary embodiment is shown. DETAILED DESCRIPTION

[0031] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, exemplary embodiments can be implemented in a variety of forms and should not be construed as being limited to the examples set forth herein; on the contrary, these embodiments are provided so that the present disclosure will be more comprehensive and complete, and the concepts of the exemplary embodiments are fully conveyed to those skilled in the art. The described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0032] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor devices and / or microcontroller devices.

[0033] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the steps. For example, some steps may be decomposed, while some steps may be combined or partially combined, so the actual execution order may change according to the actual situation.

[0034] In the related art, in the base station planning stage before the base station is deployed, the user traffic density is usually used as the planning direction, and the area where the base station needs to be built is divided into high-density areas, dense areas, general areas and edge areas; among them, for high-density areas and dense areas, the base station capacity can be used as a reference indicator for planning the base station; for general areas and edge areas, the coverage rate can be used as a reference indicator for planning the base station.

[0035] Based on the base station planning strategy provided in the prior art, the base stations planned for the areas where base stations are needed ensure the coverage area of ​​the base stations or increase the number of serviceable users. However, there may be unreasonable allocation of network resources. For example, there may be a waste of network resources in some areas, or a poor user perceived experience in some areas, which will not only cause economic losses to the operators, but also lead to a decline in user service satisfaction.

[0036] In view of the above problems, the exemplary embodiments of the present disclosure provide a base station revenue prediction method, which can predict the revenue of the area where the base station needs to be established, and guide the base station planning work in the area where the base station needs to be established according to the prediction results. The application scenarios of the base station revenue prediction method include but are not limited to: in the 5G base station planning process, the coverage area of ​​the 5G base station to be built is determined according to the base station parameters of the 5G base station to be built, and the scene area provided by the 5G base station to be built in the coverage area is determined; according to the characteristic data of the existing base stations in the coverage area, the revenue of the scene area in the target period and the estimated revenue growth coefficient in the prediction period are determined; according to the revenue of the scene area in the target period and the estimated revenue growth coefficient in the prediction period, the estimated revenue of the 5G base station to be built in the prediction period is obtained. The estimated revenue of the base station to be built can be included in the reference indicators in the base station planning stage, providing more reference indicators for the planning work of the base station, so as to facilitate the planning of a more reasonable base station distribution result.

[0037] Figure 1The present invention is a flowchart of a base station revenue prediction method according to an exemplary embodiment. The base station revenue prediction method can be applied to a terminal device, and the terminal device may include a computer, a server, or a tablet computer. The base station revenue prediction method includes the following steps S101 to S103:

[0038] Step S101, determining the coverage area of ​​the base station to be built according to the base station parameters of the base station to be built, and determining the scene area provided by the base station to be built in the coverage area;

[0039] In the embodiments of the present disclosure, the scenario area refers to the area of ​​the scenario that can be served by the base station to be built.

[0040] Step S102, determining the revenue of the scenario area in the target period and the estimated revenue growth coefficient in the prediction period according to the characteristic data of the existing base stations in the coverage area;

[0041] In the embodiments of the present disclosure, the characteristic data of existing base stations may include revenue data and business data related to the existing base stations; the target period is any time period for collecting characteristic data of existing base stations according to a preset data acquisition frequency, and the prediction period may include the next time period after the target period; the estimated revenue growth coefficient is an estimated value of the revenue growth degree of the base station to be built, wherein the preset data acquisition frequency can be determined based on actual needs, and the embodiments of the present disclosure are not limited to this.

[0042] Step S103, obtaining the estimated revenue of the base station to be built in the prediction period according to the revenue of the scenario area in the target period and the estimated revenue growth coefficient in the prediction period.

[0043] In summary, the base station revenue prediction method provided in the embodiments of the present invention can determine the revenue of the scenario area and the estimated revenue growth coefficient based on the scenario area of ​​the service scenario in which the base station to be built can provide communication services in the coverage area of ​​the base station to be built, and based on the characteristic data of the existing base stations in the coverage area of ​​the base station to be built. According to the revenue of the scenario area and the estimated revenue growth coefficient, the estimated revenue of the base station to be built is obtained. On the one hand, the estimated revenue of the base station to be built can be included in the reference indicator of the base station planning stage, so as to facilitate more reasonable planning of the base station to be built; on the other hand, by incorporating the revenue of the scenario that can be served by the base station to be built into the revenue estimation process of the base station to be built, the accuracy of the determined estimated revenue of the base station to be built can be improved, and the rationality of the guiding role of the estimated revenue of the base station to be built in the base station planning can be improved.

[0044] In an optional embodiment, in the above step S101, the terminal device determines the coverage area of ​​the base station to be built according to the base station parameters of the base station to be built, and determines the scenario area provided by the base station to be built in the coverage area.

[0045] In the embodiment of the present disclosure, the base station parameters of the base station to be built are used to characterize the characteristics of the base station to be built. The base station parameters of the base station to be built may include location parameters and technical parameters of the base station to be built, wherein the location parameters may include the longitude and latitude of the base station to be built, and the technical parameters may include the antenna type, antenna height, antenna azimuth, antenna downtilt angle, operating frequency and transmission power of the base station to be built.

[0046] It should be noted that since the revenue of a base station is usually related to the life scenes in the area covered by the base station, in the embodiments of the present disclosure, the estimated revenue of the base station to be built can be determined based on the scene area provided by the base station to be built, so as to improve the accuracy of the estimated revenue of the base station to be built. The scene area provided by the base station to be built refers to the area of ​​life scenes within the coverage range of the base station to be built. The life scenes may include business districts, residential areas, high-efficiency areas, middle schools, high-speed rail stations, subways, etc.

[0047] In an optional implementation, the process of determining the coverage area of ​​the base station to be built by the terminal device according to the base station parameters of the base station to be built may include: obtaining the base station parameters of the base station to be built, inputting the base station parameters of the base station to be built and the three-dimensional map into the base station coverage area prediction model, and obtaining the coverage area of ​​the base station to be built. The base station coverage area prediction model may be an outdoor propagation model, and specifically, the outdoor propagation model may include a COST-231WI model or a COST231-Hata model, etc.

[0048] In an optional implementation, the process of the terminal device determining the scene area provided by the base station to be built in the coverage area of ​​the base station to be built may include: obtaining map data of the coverage area of ​​the base station to be built from a geographic information system (GIS), and determining the scene area of ​​the coverage area of ​​the base station to be built according to the scene information in the map data of the coverage area of ​​the base station to be built. The scene information may include information such as the scene name and the corresponding scene area.

[0049] In an optional embodiment, in the above step S102, the terminal device determines the revenue of the scenario area in the target period and the estimated revenue growth coefficient in the prediction period based on the characteristic data of the existing base stations in the coverage area.

[0050] In the disclosed embodiment, when the mobile communication technology develops to the fifth generation mobile communication technology (5G), it is necessary to build a 5G base station to replace the current 4G base station. However, the base station replacement process is not achieved overnight, and there will be a period when base stations supporting new mobile communication technologies coexist with base stations supporting old mobile communication technologies. Therefore, the existing base stations may include a first base station using a different mobile communication technology from the base station to be built and a second base station using the same mobile communication technology as the base station to be built. For example, if the base station to be built is a 5G base station, the first base station may be a 4G base station, and the second base station may be a 5G base station; or, if the base station to be built is a 4G base station, the first base station may be a 3G base station, and the second base station may be a 4G base station.

[0051] It should be noted that in the period when base stations supporting new mobile communication technologies coexist with base stations supporting old mobile communication technologies, different networking architectures can be used to provide services to users according to actual conditions, and the types of base stations supporting different networking architectures are also different. For example, the first base station and the second base station can form a joint base station, and the joint base station can support mobile communication services under a networking architecture, or the second base station supports mobile communication services under a networking architecture; for example, the base station to be built is a 5G base station, and the existing base stations include 4G base stations and 5G base stations. The 4G base station and the 5G base station can be formed into a joint base station, and the joint base station can support mobile communication services under a non-standalone (NSA) architecture; the 5G base station can support mobile communication services under an independent networking (Standalone, SA) architecture.

[0052] The characteristic data of the existing base station may include revenue data and business data related to the existing base station, wherein the revenue data may include the profitability of the existing base station, and the business data may include the flow data or traffic volume data of the existing base station. The target period is any time period for collecting the characteristic data of the existing base station according to the preset data acquisition frequency, the prediction period may include the next time period after the target period, and the preset data acquisition frequency may be to obtain the characteristic data of the existing base station in a monthly time period. For example, if the target period is May 2021, the prediction period is June 2021.

[0053] In an optional embodiment, if Figure 2 As shown, the process of determining the revenue of the scene area in the target period by the terminal device according to the characteristic data of the existing base stations in the coverage area may include the following steps S201 to S203:

[0054] Step S201: determining a first benefit of a second base station in a joint base station in a target period according to service data and migration benefit of a first base station in a joint base station in a target period.

[0055] In the embodiment of the present disclosure, the migration benefit refers to the benefit contributed by the service provided by the second base station in the benefit of the first base station in the joint base station.

[0056] In an optional embodiment, if Figure 3 As shown, the process of determining the first benefit of the second base station in the joint base station in the target period according to the service data and migration benefit of the first base station in the joint base station may include the following steps S301 to S303:

[0057] Step S301: acquiring service data of a first base station in a joint base station in a target period from base station characteristic data in a coverage area.

[0058] In the disclosed embodiment, the terminal device may obtain the base station feature data of the coverage area pre-collected by the service provider of the existing base station from the service provider of the existing base station. The terminal device may obtain the pre-collected base station feature data of the coverage area from the database of the service provider of the existing base station; or the pre-collected base station feature data of the coverage area may be pre-stored in the terminal device, and the terminal device may directly call the base station feature data of the coverage area during the base station revenue prediction process.

[0059] In an optional embodiment, the service data may include traffic data of the first base station, and the terminal device may obtain the traffic data of the first base station in the joint base station in the target period from the base station characteristic data in the coverage area.

[0060] Step S302: Determine the migration revenue of the first base station in the target period according to the service data and a pre-established revenue migration model.

[0061] In the embodiment of the present disclosure, the pre-established revenue migration model may be formula (1):

[0062] F(t)=β 0 +β 1 *f(t); (1)

[0063] Among them, F(t) is the migration benefit, β 0 is the correlation coefficient of the revenue of the second base station, β 1 is the correlation coefficient of the revenue contributed by the service provided by the second base station in the revenue of the first base station, f(t) is the service data of the first base station, and t is the target period.

[0064] In an optional embodiment, the process of determining the migration benefit of the first base station in the target period based on business data and a pre-established benefit migration model may include: inputting the business data of the first base station in the target period into the pre-established benefit migration model to obtain the migration benefit of the first base station in the target period.

[0065] Step S303: determining a first income of the second base station in the joint base station in the target period according to the migration income and the ratio of the service data of the second base station associated with the first base station in the target period.

[0066] In the embodiment of the present disclosure, the second base station associated with the first base station is the second base station associated with the first base station in the joint base station. For example, the base station to be built is a 5G base station, and the existing base stations include a 4G base station and a 5G base station. Figure 4 As shown, Figure 4 The figure is a relationship diagram of the joint base stations in the coverage area of ​​the base station to be built, where 4G base station A and 5G base station 1, 5G base station 2 and 5G base station 4 form a joint base station T1; 4G base station B and 5G base station 1 and 5G base station 3 form a joint base station T2; 4G base station C and 5G base station 1, 5G base station 2 and 5G base station 5 form a joint base station T3; 4G base station D and 5G base station 3, 5G base station 4 and 5G base station 5 form a joint base station T4. It can be understood that the relationship between the first base station and the second base station in the joint base station can be obtained from the service party of the existing base station.

[0067] In an optional embodiment, according to the migration benefit and the proportional relationship between the service data of the second base station associated with the first base station in the target period, the process of determining the first benefit of the second base station in the joint base station in the target period may include: obtaining the service data of each second base station associated with the first base station in the target period in the base station characteristic data of the coverage area, determining the sum of the service data of each second base station, obtaining the total service data of the second base station in the target period, determining the ratio of the service data of each second base station in the target period to the total service data of the second base station in the target period, obtaining the service data ratio of each second base station in the target period, determining the product of the migration benefit of the first base station in the joint base station in the target period and the service data ratio of each second base station in the target period, and obtaining the first benefit of each second base station in the joint base station in the target period. The service data of the second base station may be the traffic data of the second base station.

[0068] For example, it is assumed that the association relationship diagram of the joint base stations in the coverage area of ​​the base station to be built is as follows: Figure 4As shown, for the joint base station T1, if the traffic data of 5G base station 1, 5G base station 2 and 5G base station 4 in the target period are 2000M, 3000M and 5000M respectively, it can be determined that the business data ratio of 5G base station 1 in the target period is 1 / 5, the business data ratio of 5G base station 2 in the target period is 3 / 10, and the business data ratio of 5G base station 4 in the target period is 1 / 2. If the migration income of 4G base station A in the target period is 10,000 yuan, the first income of 5G base station 1 in the target period is 2,000 yuan, the first income of 5G base station 2 in the target period is 3,000 yuan, and the first income of 5G base station 4 in the target period is 5,000 yuan.

[0069] It should be noted that in the embodiment of the present disclosure, in the coverage area of ​​the base station to be built, the second base station can be associated with different first base stations to form different joint base stations, and the process of determining the first benefit of the second base station in the target period may include: in each joint base station including the second base station, according to the migration benefit of the first base station and the proportional relationship of the business data of the second base station associated with the first base station in the target period, determine the first benefit of the second base station in each joint base station in the target period, and determine the sum of the first benefits of the second base station in each joint base station in the target period as the first benefit of the target base station in the target period.

[0070] For example, in Figure 4 In the association relationship of the joint base stations in the coverage area of ​​the base station to be built shown in , the joint base stations including 5G base station 1 include joint base station T1, joint base station T2 and joint base station T3. The first benefit of 5G base station 1 in joint base station T1 in the target period can be determined according to the migration benefit of 4G base station A in joint base station T1 in the target period and the proportional relationship of the business data of 5G base station 1, 5G base station 2 and 5G base station 4 associated with 4G base station A; similarly, the first benefit of 5G base station 1 in joint base station T2 in the target period can be determined, and the first benefit of 5G base station 1 in joint base station T3 in the target period can be determined, and the sum of the first benefits of 5G base station 1 in the target period among the three joint base stations is determined as the first benefit of 5G base station 1 in the target period.

[0071] Step S202: Determine a second revenue of the second base station in the target period according to the cell revenue of the coverage cell of the second base station in the target period.

[0072] In the embodiment of the present disclosure, the cell revenue is the revenue obtained by the cell providing mobile communication services by the second base station in the coverage area of ​​the base station to be built. The cell revenue can be obtained by the terminal device from the service party of the existing base station by obtaining the base station characteristic data of the coverage area in advance.

[0073] In an optional embodiment, if Figure 5As shown, the process of determining the second revenue of the second base station in the target period by the terminal device according to the cell revenue of the coverage cell of the second base station in the target period may include the following steps S501 to S504:

[0074] Step S501, obtaining test sampling points of a coverage area in a target period, and rasterizing the coverage area including the test sampling points to obtain a plurality of coverage grids.

[0075] In the embodiment of the present disclosure, the test sampling point may be the location information of the user terminal in the measurement report (Measurement Report, MR) data acquired by the operator, wherein the MR data also includes the cell where the user terminal is located.

[0076] In an optional implementation, the terminal device may obtain MR data of the coverage area of ​​the base station to be built from the operator, obtain test sampling points of the coverage area, and use the rasterization technology of vector points to rasterize the coverage area including the test sampling points to obtain multiple coverage grids. The size of the coverage grid may be determined based on actual needs, and the embodiments of the present disclosure are not limited to this.

[0077] Step S502: for each coverage grid, determine the ratio of the test sampling points of the same cell in the coverage grid to all the test sampling points in the coverage grid, and obtain the proportion of the test sampling points of each cell in the coverage grid.

[0078] In the embodiment of the present disclosure, each coverage grid may include test sampling points of different cells, and the revenue of each grid needs to be determined according to the cell revenue of each cell in the coverage grid.

[0079] In an optional implementation, the terminal device may determine the ratio of the test sampling points of the same cell in the coverage grid to all the test sampling points in the coverage grid to obtain the proportion of the test sampling points of each cell in the coverage grid.

[0080] Step S503, obtaining the revenue of each coverage grid in the target period according to the cell revenue of each cell in the target period and the proportion of test sampling points.

[0081] In an optional implementation, the process of the terminal device obtaining the revenue of each coverage grid based on the cell revenue and the proportion of test sampling points of each cell may include: for each coverage grid, determining the product of the cell revenue and the proportion of test sampling points of each cell in the coverage grid in the target period to obtain the revenue of each cell in the coverage grid, determining the sum of the revenue of each cell in the coverage grid, and obtaining the revenue of the coverage grid in the target period.

[0082] The benefit of covering the grid can be determined based on the following formula (2):

[0083]

[0084] Where y represents the benefit of covering the grid; I n represents the cell benefit of the nth cell in the coverage grid, J n Indicates the proportion of test sampling points covering the nth cell in the grid.

[0085] Step S504: obtaining a second benefit of the second base station in the target period according to the benefit of the target coverage grid that coincides with the coverage range of the second base station in the target period.

[0086] In an optional embodiment, the process of the terminal device obtaining the second benefit of the second base station in the target period according to the benefit of the target coverage grid corresponding to the coverage range of the second base station may include: determining the coverage grid that coincides with the coverage range of the second base station in the coverage area of ​​the base station to be built, determining the coverage grid that coincides with the coverage range of the second base station as the target coverage grid, and obtaining the second benefit of the second base station in the target period according to the benefit of the target coverage grid in the target period. The number of target coverage grids may include at least one.

[0087] In an optional embodiment, the coverage range of the second base station completely overlaps with each target coverage grid. The process of obtaining the second benefit of the second base station in the target period based on the benefit of the target coverage grid in the target period may include: determining the sum of the benefits of each target coverage grid in the target period to obtain the second benefit of the second base station in the target period.

[0088] In an optional embodiment, if the coverage range of the second base station partially overlaps with at least one target coverage grid, the process of obtaining the second benefit of the second base station in the target period based on the benefit of the target coverage grid in the target period may include: determining the sum of the benefits of each target coverage grid that completely overlaps with the coverage range of the second base station in the target period, and obtaining the first sub-benefit of the second base station in the target period; determining the partial benefit of each target coverage grid that partially overlaps with the coverage range of the second base station in the target period, determining the sum of the partial benefits of each target coverage grid that partially overlaps with the coverage range of the second base station in the target period, and obtaining the second sub-benefit of the second base station in the target period, and determining the sum of the first sub-benefit and the second sub-benefit as the second benefit of the second base station in the target period.

[0089] Among them, the process of determining the partial gain of each target coverage grid that partially overlaps with the coverage range of the second base station in the target period may include: for each target coverage grid that partially overlaps with the coverage range of the second base station, the proportion of the partially overlapping area in the target coverage grid can be determined to obtain the coverage range overlap ratio, and the product of the gain of the target coverage grid in the target period and the coverage range overlap ratio is determined to obtain the partial gain of the target coverage grid.

[0090] Step S203, based on the coverage of the joint base station, the overlapping relationship between the coverage of the second base station and the scene area, determine the profit of the scene area in the target period according to at least one of the first profit and the second profit of the second base station in the target period.

[0091] In the embodiment of the present disclosure, the process of determining the revenue of the scene area in the target period according to at least one of the first revenue and the second revenue of the second base station in the target period by the terminal device based on the coverage of the joint base station, the overlapping relationship between the coverage of the second base station and the scene area respectively, may include:

[0092] If the scene area overlaps with the coverage of the target joint base station, the first benefit of the second base station in the target joint base station in the target period is determined as the benefit of the scene area in the target period; or, if the scene area overlaps with the coverage of the target second base station, the second benefit of the target second base station in the target period is determined as the benefit of the scene area in the target period; or; if the scene area overlaps with the coverage of the target joint base station, and the scene area overlaps with the coverage of the target second base station, the sum of the first benefit of the second base station in the target joint base station in the target period and the second benefit of the target second base station in the target period is determined to obtain the benefit of the scene area in the target period. Wherein, the coverage area of ​​the base station to be built may include at least one joint base station, and at least one second base station, the target joint base station is any joint base station in the coverage area, and the target second base station is any second base station in the coverage area.

[0093] It should be noted that in the embodiments of the present disclosure, for the base station to be built, the revenue of the scenario area served by the base station to be built can be determined based on the revenue of a second base station using the same mobile communication technology as the base station to be built under a different networking architecture in the coverage area of ​​the base station to be built, thereby ensuring the accuracy of the estimated revenue of the base station to be built determined based on the revenue of the scenario area.

[0094] In an optional embodiment, if Figure 6 As shown, the process of determining the revenue growth coefficient of the scenario area in the prediction period by the terminal device according to the characteristic data of the existing base stations in the coverage area may include the following steps S601 to S604:

[0095] Step S601, determining the benefits corresponding to a plurality of reference periods before a target period in a scene area according to the characteristic data of existing base stations in the coverage area.

[0096] In the embodiment of the present disclosure, the reference period is the time period before the target period, and the number of reference periods can be determined based on actual needs, which is not limited in the embodiment of the present disclosure. For example, if the target period is May 2021, the reference period can include each month from May 2020 to January 2021.

[0097] In an optional embodiment, the process of determining the benefits of the scene area corresponding to multiple reference periods before the target period according to the characteristic data of the existing base stations in the coverage area can refer to the process of determining the benefit of the scene area in the target period according to the characteristic data of the existing base stations in the coverage area in the above embodiment, and the present disclosed embodiment will not elaborate on this.

[0098] Step S602, determining multiple reference income growth coefficients according to the income corresponding to two adjacent time periods in the target period and multiple reference periods.

[0099] In an optional embodiment, the process of determining multiple reference profit growth coefficients based on the profits corresponding to two adjacent time periods in the target period and multiple reference periods may include: determining the ratio of the profit of the earlier time period to the profit of the later time period in two adjacent time periods, and obtaining the profit growth coefficient of the later time period.

[0100] For example, assuming that the target period is May 2021, and the reference period includes each month from May 2020 to January 2021, the revenue growth coefficient of scenario area K1 in October 2020 is the ratio of the revenue of scenario area K1 in October 2020 to the revenue of scenario area K1 in September 2020.

[0101] Step S603, obtaining a reference revenue growth coefficient sequence according to a plurality of reference revenue growth coefficients.

[0102] In an optional embodiment, the process by which the terminal device obtains a reference revenue growth coefficient sequence based on multiple reference revenue growth coefficients may include: combining multiple reference revenue growth coefficients in chronological order of the reference periods corresponding to the reference revenue growth coefficients to obtain a reference revenue growth coefficient sequence.

[0103] For example, for scenario area K1 in the coverage area of ​​the base station to be built, assuming that the target period is May 2021 and the reference period includes each month from May 2020 to January 2021, the reference revenue growth coefficient z for June 2020 can be 1, the reference revenue growth coefficient z in July 2020 2 , the reference revenue growth coefficient z in August 2020 3 , reference revenue growth coefficient z in September 2020 4 , the reference revenue growth coefficient z in October 2020 5 , the reference income growth coefficient z in November 2020 6 , the reference income growth coefficient z in December 2020 7 , the reference income growth coefficient z in January 2021 8 , arrange the 8 reference income growth coefficients in the order of the corresponding time periods, and obtain the reference income growth coefficient sequence {z 1 , z 2 , z 3 , z 4 , z 5 , z 6 , z 7 , z 8}.

[0104] Step S604: input the reference revenue growth coefficient sequence into a pre-established revenue growth coefficient prediction model to obtain the estimated revenue growth coefficient of the scenario area in the prediction period.

[0105] In the embodiments of the present disclosure, the revenue growth coefficient prediction model may be a model established based on a time series prediction algorithm. For example, the revenue growth coefficient prediction model may include a machine learning model, a Prophet model, or the like.

[0106] Among them, the process of pre-establishing a revenue growth coefficient prediction model may include: obtaining multiple sample revenue growth coefficient sequences, inputting the sample revenue growth coefficient sequences into the revenue growth coefficient prediction model to be trained, iteratively training the revenue growth coefficient prediction model to be trained until the revenue growth coefficient prediction model to be trained meets the model convergence conditions, and determining that the revenue growth coefficient prediction model training is completed. Among them, the multiple sample revenue growth coefficient sequences may include sample revenue growth coefficient sequences of at least one scenario area provided by the base station to be built. The process of determining the sample revenue growth coefficient sequence can refer to the process of determining the reference revenue growth coefficient sequence in the above embodiment, and the present disclosed embodiment will not elaborate on this.

[0107] In an optional embodiment, the process of determining whether the revenue growth coefficient prediction model to be trained meets the model convergence condition may include: in each iterative training process, according to the estimated revenue growth coefficient of the sample prediction period output by the revenue growth coefficient prediction model to be trained and the actual revenue growth coefficient of the sample prediction period, determine the loss function value, if the loss function value meets the model convergence condition, then determine that the model training is complete; if the loss function value does not meet the model convergence condition, then adjust the model parameters of the revenue growth coefficient prediction model until the loss function value meets the model convergence condition. Among them, the model convergence condition can be determined based on actual needs, and the embodiment of the present disclosure is not limited to this. For example, the model convergence condition may include that the loss function value is less than or equal to a preset loss function value; or, the difference between the loss function values ​​of a preset number of iterations is less than or equal to a preset deviation value. The loss function can be determined based on actual needs, and the embodiment of the present disclosure is not limited to this. For example, the loss function may include the mean absolute error or the mean absolute percentage error, etc.

[0108] In an optional implementation, the revenue growth coefficient prediction model is a Prophet model, and the Prophet model can be formula (3):

[0109] y(t)=g(t)+s(t)+h(t)+ε t ; (3)

[0110] Among them, g(t) represents the trend function, which is used to represent the non-periodic trend of the revenue growth coefficient sequence; s(t) represents the periodic function, which is used to represent the periodic law in the revenue growth coefficient sequence; h(t) represents the holiday function, which is used to represent the impact of non-fixed-period holidays in the revenue growth coefficient sequence on the predicted value; ε t represents the error function.

[0111] Specifically, the trend function g(t) = (k+a(t)δ)·t+(m+a(t) T γ), the trend function is a piecewise linear function, where k represents the growth rate of revenue, δ represents the change in the growth rate, a(t) represents the function of the change in the growth rate of revenue over a time period, m represents the offset, and γ represents the boundary of the piecewise linear function.

[0112] The Fourier series of the periodic function s(t) is Wherein, P represents the period of the time series, for example, P=365.25 represents a year as the period, and P=7 represents a week as the period.

[0113] Holiday function Among them, i represents holidays, D i represents a period of time before and after holidays, κ iIndicates the impact range of holidays, and L indicates all holidays.

[0114] In an optional implementation, the terminal device may input the reference revenue growth coefficient sequence into a pre-established revenue growth coefficient prediction model to obtain an estimated revenue growth coefficient of the scenario area during the prediction period.

[0115] For example, for scenario area K1 in the coverage area of ​​the base station to be built, assuming that the target period is May 2021, and the reference period includes each month from May 2020 to January 2021, the reference revenue growth coefficient sequence for scenario K1 is {z 1 , z 2 , z 3 , z 4 , z 5 , z 6 , z 7 , z 8}, the reference income growth coefficient sequence {z 1 , z 2 , z 3 , z 4 , z 5 , z 6 , z 7 , z 8} Input the revenue growth coefficient prediction model to obtain the estimated revenue growth coefficient of scenario area K1 in June 2021.

[0116] It should be noted that in the embodiment of the present disclosure, the scene areas included in the coverage area of ​​the base station to be built may include at least one. For each scene area, the estimated revenue growth coefficient of each scene area in the coverage area of ​​the base station to be built during the prediction period can be obtained according to the process in the above steps S601 to S604.

[0117] In an optional embodiment, in the above step S103, the terminal device obtains the estimated revenue of the base station to be built in the prediction period according to the revenue of the scene area in the target period and the estimated revenue growth coefficient of the prediction period.

[0118] Among them, the process of the terminal device obtaining the estimated profit of the base station to be built in the prediction period based on the profit of the scene area in the target period and the estimated profit growth coefficient of the prediction period may include: determining the product of the profit of the scene area in the target period and the estimated profit growth coefficient of the prediction period to obtain the estimated profit of the scene area in the prediction period; determining the estimated profit of the scene area in the prediction period as the estimated profit of the base station to be built in the prediction period.

[0119] In an optional implementation, the coverage area of ​​the base station to be built includes at least one scene area, and the terminal device can determine the estimated profit of each scene area in the coverage area of ​​the base station to be built in the prediction period according to the method in the above embodiment, and determine the sum of the estimated profits of each scene area in the prediction period as the estimated profit of the base station to be built in the prediction period.

[0120] In an optional embodiment, considering that the scene area in the coverage area of ​​the base station to be built will change after the base station to be built is built, the estimated revenue of the base station to be built in the prediction period can be determined based on the revenue potential growth coefficient and the total revenue of the coverage area of ​​the base station to be built in multiple reference periods. The revenue potential growth coefficient is used to indicate the degree of revenue growth of the base station to be built when the scene area in the coverage area of ​​the base station to be built is updated within multiple reference periods; the multiple reference periods are time periods before the prediction period.

[0121] Among them, the process of the terminal device determining the estimated revenue of the base station to be built in the prediction period based on the revenue potential growth coefficient and the revenue of the coverage area of ​​the base station to be built in multiple reference periods may include: determining the revenue of the coverage area of ​​the base station to be built in multiple reference periods, and obtaining the revenue potential growth coefficients of multiple reference periods, and determining the estimated revenue of the coverage area of ​​the base station to be built according to the revenue of the coverage area of ​​the base station to be built in multiple reference periods and the revenue potential growth coefficient. Among them, the process of determining the revenue of the coverage area of ​​the base station to be built in each reference period can refer to the process of determining the revenue of the reference period in the above embodiment, and the present embodiment will not elaborate on this. The revenue potential growth coefficients of multiple reference periods can be determined after the terminal device detects the revenue potential growth coefficient of each reference period input by the user.

[0122] In an optional implementation, the estimated revenue of the coverage area of ​​the base station to be built can be determined based on formula (4) according to the revenue and revenue potential growth coefficient of the coverage area of ​​the base station to be built in multiple reference periods:

[0123]

[0124] Among them, y n represents the benefit of the coverage area of ​​the base station to be built in each reference period, z n It represents the revenue potential growth coefficient of the coverage area of ​​the base station to be built in each reference period, and m represents the total number of reference periods.

[0125] In an optional implementation, after the terminal device determines the coverage area of ​​the base station to be built, it can also rasterize the coverage area of ​​the base station to be built to obtain at least one grid area of ​​the coverage area of ​​the base station to be built. The process of the terminal device determining the gain of the coverage area of ​​the base station to be built in any reference period may include: determining the gain of each grid area corresponding to the coverage area of ​​the base station to be built in the reference period, and determining the sum of the gains of each grid area as the gain of the coverage area of ​​the base station to be built in the reference period.

[0126] Wherein, for any reference period, the process of determining the benefit of each grid area corresponding to the coverage area of ​​the base station to be built in the reference period may include: if the grid area overlaps with the coverage range of the target joint base station, the first benefit of the second base station in the target joint base station in the reference period is determined as the benefit of the grid area in the reference period; or, if the grid area overlaps with the coverage range of the target second base station, the second benefit of the target second base station in the reference period is determined as the benefit of the grid area in the reference period; or; if the grid area overlaps with the coverage range of the target joint base station, and the grid area overlaps with the coverage range of the target second base station, the sum of the first benefit of the second base station in the target joint base station in the reference period and the second benefit of the target second base station in the reference period is determined to obtain the benefit of the grid area in the reference period. Wherein, the coverage area of ​​the base station to be built may include at least one joint base station and at least one second base station, the target joint base station is any joint base station in the coverage area, and the target second base station is any second base station in the coverage area.

[0127] The present disclosure provides a base station revenue prediction device, such as Figure 7 As shown, the base station revenue prediction device 700 includes:

[0128] The first determination module 701 is configured to determine the coverage area of ​​the base station to be built according to the base station parameters of the base station to be built, and determine the scene area provided by the base station to be built in the coverage area;

[0129] The second determination module 702 is configured to determine the revenue of the scenario area in the target period and the estimated revenue growth coefficient in the prediction period according to the characteristic data of the existing base stations in the coverage area, and the prediction period is the next time period of the target period;

[0130] The third determination module 703 is configured to obtain the estimated revenue of the base station to be built in the prediction period according to the revenue of the scene area in the target period and the estimated revenue growth coefficient of the prediction period.

[0131] Optionally, the existing base station includes a first base station and a second base station, the first base station and the second base station form a joint base station, and the second determining module 702 is configured to:

[0132] Determine a first benefit of a second base station in the joint base station in the target period according to service data and migration benefit of a first base station in the joint base station in the target period;

[0133] Determining a second revenue of the second base station in the target period according to a cell revenue of a coverage cell of the second base station in the target period;

[0134] Based on the coverage of the joint base station and the overlapping relationship between the coverage of the second base station and the scene area, the profit of the scene area in the target period is determined according to at least one of the first profit and the second profit of the second base station in the target period.

[0135] Optionally, the second determining module 702 is configured to:

[0136] Acquire service data of a first base station in a joint base station in a target period from base station characteristic data in a coverage area;

[0137] Determine the migration revenue of the first base station in the target period according to the service data and a pre-established revenue migration model;

[0138] A first profit of the second base station in the joint base station in the target period is determined according to the migration profit and a proportional relationship between the service data of the second base station associated with the first base station in the target period.

[0139] Optionally, the second determining module 702 is configured to:

[0140] Acquire test sampling points of the coverage area in the target period, and rasterize the coverage area including the test sampling points to obtain a plurality of coverage grids;

[0141] For each coverage grid, determine the ratio of the test sampling points of the same cell in the coverage grid to all the test sampling points in the coverage grid, and obtain the proportion of the test sampling points of each cell in the coverage grid;

[0142] According to the cell revenue of each cell in the target period and the proportion of test sampling points, the revenue of each coverage grid in the target period is obtained;

[0143] The second benefit of the second base station in the target period is obtained according to the benefit of the target coverage grid that coincides with the coverage range of the second base station in the target period.

[0144] Optionally, the second determining module 702 is configured to:

[0145] If the scene area overlaps with the coverage of the target joint base station, the first benefit of the second base station in the target joint base station in the target period is determined as the benefit of the scene area in the target period; or,

[0146] If the scene area overlaps with the coverage of the target second base station, the second revenue of the target second base station in the target period is determined as the revenue of the scene area in the target period; or;

[0147] If the scene area overlaps with the coverage range of the target joint base station, and the scene area overlaps with the coverage range of the target second base station, then the first profit of the second base station in the target joint base station in the target period and the second profit of the target second base station in the target period are determined to obtain the profit of the scene area in the target period. The target joint base station is any joint base station in the coverage area, and the target second base station is any second base station in the coverage area.

[0148] Optionally, the second determining module 702 is configured to:

[0149] Determine the benefits corresponding to multiple reference periods before the target period in the scene area according to the characteristic data of the existing base stations in the coverage area;

[0150] Determine multiple reference income growth coefficients based on the income corresponding to two adjacent time periods in the target period and multiple reference periods;

[0151] According to a plurality of reference income growth coefficients, a reference income growth coefficient sequence is obtained;

[0152] The reference revenue growth coefficient sequence is input into the pre-established revenue growth coefficient prediction model to obtain the estimated revenue growth coefficient of the scenario area during the forecast period.

[0153] Optionally, the third determining module 703 is configured to:

[0154] Determine the product of the revenue of the scenario area in the target period and the estimated revenue growth coefficient of the forecast period to obtain the estimated revenue of the scenario area in the forecast period;

[0155] The estimated revenue of the scenario area in the prediction period is determined as the estimated revenue of the base station to be built in the prediction period.

[0156] The exemplary embodiments of the present disclosure also provide a computer-readable storage medium, which can be implemented in the form of a program product, which includes a program code, and when the program product is run on an electronic device, the program code is used to cause the electronic device to perform the steps described in the above "Exemplary Method" section of this specification according to various exemplary embodiments of the present disclosure. In one embodiment, the program product can be implemented as a portable compact disk read-only memory (CD-ROM) and includes program code, and can be run on an electronic device, such as a personal computer. However, the program product of the present disclosure is not limited to this, and in this document, the readable storage medium can be any tangible medium containing or storing a program, which can be used by or in combination with an instruction execution system, device or device.

[0157] The program product may use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0158] Computer readable signal media may include data signals propagated in baseband or as part of a carrier wave, in which readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Readable signal media may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0159] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the foregoing.

[0160] Program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0161] The exemplary embodiment of the present disclosure also provides an electronic device, which may be a terminal device. Figure 8 The electronic device is described. It should be understood that Figure 8 The electronic device 800 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0162] like Figure 8 As shown, the electronic device 800 is in the form of a general computing device. The components of the electronic device 800 may include, but are not limited to: multiple processing units 810, multiple storage units 820, and a bus 830 connecting different system components (including the storage units 820 and the processing units 810).

[0163] The storage unit stores program codes, which can be executed by the processing unit 810, so that the processing unit 810 performs the steps of various exemplary embodiments of the present invention described in the above “Exemplary Method” section of this specification. For example, the processing unit 810 can perform the following steps: Figure 2 The method steps shown, etc.

[0164] The storage unit 820 may include a volatile storage unit, such as a random access storage unit (RAM) 821 and / or a cache storage unit 822 , and may further include a read-only storage unit (ROM) 823 .

[0165] The storage unit 820 may also include a program / utility 824 having a set (multiple) program modules 825, such program modules 825 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0166] The bus 830 may include a data bus, an address bus, and a control bus.

[0167] The electronic device 800 may also communicate with one or more external devices 900 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), and such communication may be performed via an input / output (I / O) interface 840. The electronic device 800 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 850. As shown, the network adapter 850 communicates with other modules of the electronic device 800 via a bus 830. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0168] It should be noted that, although several modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the exemplary embodiments of the present disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units to be embodied.

[0169] It will be appreciated by those skilled in the art that various aspects of the present disclosure may be implemented as systems, methods or program products. Therefore, various aspects of the present disclosure may be specifically implemented in the following forms, namely: complete hardware implementation, complete software implementation (including firmware, microcode, etc.), or implementations combining hardware and software aspects, which may be collectively referred to herein as "circuit", "module" or "system". Those skilled in the art will readily think of other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any variations, uses or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not disclosed in the present disclosure. The specification and implementation are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

[0170] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A base station revenue prediction method, characterized in that: include: Determine a coverage area of ​​the base station to be built according to base station parameters of the base station to be built, and determine a scenario area provided by the base station to be built in the coverage area; Determine the revenue of the scenario area in a target period and an estimated revenue growth coefficient in a prediction period according to the characteristic data of the existing base stations in the coverage area, wherein the prediction period is a time period next to the target period; the existing base stations include a first base station and a second base station, wherein the first base station is a base station using a mobile communication technology different from that of the base station to be built, and the second base station is a base station using the same mobile communication technology as that of the base station to be built; Obtaining an estimated profit of the base station to be built in the prediction period according to the profit of the scenario area in the target period and the estimated profit growth coefficient of the prediction period; Wherein, determining the revenue of the scenario area in the target period according to the characteristic data of the existing base stations in the coverage area includes: When a joint base station composed of the first base station and the second base station supports a non-independent networking architecture, acquiring service data of the first base station in the joint base station in the target period from base station feature data in the coverage area; Determine the migration benefit according to the service data of the first base station in the target period and a pre-established benefit migration model; the migration benefit is the benefit contributed by the service provided by the second base station to the benefit of the first base station in the joint base station; Determine a first benefit of the second base station in the joint base station in the target period according to a proportion of service data of the second base station associated with the first base station in the joint base station in the target period and a migration benefit of the first base station in the target period; When the second base station supports an independent networking architecture, determining a second revenue of the second base station in the target period according to a cell revenue of a coverage cell of the second base station in the target period; Based on the coverage of the joint base station, the overlapping relationship between the coverage of the second base station and the scene area, and according to at least one of the first benefit and the second benefit of the second base station in the target period, determining the benefit of the scene area in the target period; The determining, according to the cell revenue of the cell covered by the second base station in the target period, the second revenue of the second base station in the target period includes: Acquire test sampling points of the coverage area in a target period, and rasterize the coverage area including the test sampling points to obtain a plurality of coverage grids; For each of the coverage grids, determine the ratio of the test sampling points of the same cell in the coverage grid to all the test sampling points in the coverage grid, and obtain the proportion of the test sampling points of each cell in the coverage grid; Obtaining the revenue of each coverage grid in the target period according to the cell revenue of each cell in the target period and the proportion of the test sampling points; The second profit of the second base station in the target period is obtained according to the profit of the target coverage grid that coincides with the coverage range of the second base station in the target period.

2. The method according to claim 1, characterized in that: The determining, based on the coverage of the joint base station, the overlapping relationship between the coverage of the second base station and the scene area, and according to at least one of the first benefit and the second benefit of the second base station in the target period, the benefit of the scene area in the target period includes: If the scene area overlaps with the coverage of the target joint base station, the first benefit of the second base station in the target joint base station in the target period is determined as the benefit of the scene area in the target period; or, If the scenario area overlaps with the coverage of the target second base station, the second revenue of the target second base station in the target period is determined as the revenue of the scenario area in the target period; or; If the scene area overlaps with the coverage range of the target joint base station, and the scene area overlaps with the coverage range of the target second base station, then determine the first profit of the second base station in the target joint base station in the target period and the sum of the second profit of the target second base station in the target period to obtain the profit of the scene area in the target period. The target joint base station is any joint base station in the coverage area, and the target second base station is any second base station in the coverage area.

3. The method according to claim 1, characterized in that Determining the revenue growth coefficient of the scenario area in the forecast period according to the characteristic data of the existing base stations in the coverage area includes: Determine, based on the characteristic data of existing base stations in the coverage area, the benefits corresponding to a plurality of reference periods of the scenario area before the target period; Determine multiple reference income growth coefficients according to the income corresponding to two adjacent time periods in the target period and the multiple reference periods; According to a plurality of reference income growth coefficients, a reference income growth coefficient sequence is obtained; The reference revenue growth coefficient sequence is input into a pre-established revenue growth coefficient prediction model to obtain an estimated revenue growth coefficient of the scenario area in the prediction period.

4. The method according to any one of claims 1 to 3, characterized in that: The obtaining the estimated revenue of the base station to be built in the prediction period according to the revenue of the scenario area in the target period and the estimated revenue growth coefficient of the prediction period includes: Determine the product of the revenue of the scenario area in the target period and the estimated revenue growth coefficient of the forecast period to obtain the estimated revenue of the scenario area in the forecast period; The estimated revenue of the scenario area in the prediction period is determined as the estimated revenue of the base station to be built in the prediction period.

5. A base station revenue prediction device, characterized in that: include: A first determination module is configured to determine a coverage area of ​​the base station to be built according to base station parameters of the base station to be built, and determine a scenario area provided by the base station to be built in the coverage area; A second determination module is configured to determine the revenue of the scenario area in a target period and an estimated revenue growth coefficient in a prediction period according to feature data of existing base stations in the coverage area, wherein the prediction period is a time period next to the target period; the existing base stations include a first base station and a second base station, the first base station is a base station using a mobile communication technology different from that of the base station to be built, and the second base station is a base station using the same mobile communication technology as that of the base station to be built; A third determination module is configured to obtain an estimated revenue of the base station to be built in the prediction period according to the revenue of the scenario area in the target period and the estimated revenue growth coefficient of the prediction period; Wherein, determining the revenue of the scenario area in the target period according to the characteristic data of the existing base stations in the coverage area includes: When a joint base station composed of the first base station and the second base station supports a non-independent networking architecture, acquiring service data of the first base station in the joint base station in the target period from base station feature data in the coverage area; Determine the migration benefit according to the service data of the first base station in the target period and a pre-established benefit migration model; the migration benefit is the benefit contributed by the service provided by the second base station to the benefit of the first base station in the joint base station; Determine a first benefit of the second base station in the joint base station in the target period according to a proportion of service data of the second base station associated with the first base station in the joint base station in the target period and a migration benefit of the first base station in the target period; When the second base station supports an independent networking architecture, determining a second revenue of the second base station in the target period according to a cell revenue of a coverage cell of the second base station in the target period; Based on the coverage of the joint base station, the overlapping relationship between the coverage of the second base station and the scene area, and according to at least one of the first benefit and the second benefit of the second base station in the target period, determining the benefit of the scene area in the target period; The determining, according to the cell revenue of the cell covered by the second base station in the target period, the second revenue of the second base station in the target period includes: Acquire test sampling points of the coverage area in a target period, and rasterize the coverage area including the test sampling points to obtain a plurality of coverage grids; For each of the coverage grids, determine the ratio of the test sampling points of the same cell in the coverage grid to all the test sampling points in the coverage grid, and obtain the proportion of the test sampling points of each cell in the coverage grid; Obtaining the revenue of each coverage grid in the target period according to the cell revenue of each cell in the target period and the proportion of the test sampling points; The second profit of the second base station in the target period is obtained according to the profit of the target coverage grid that coincides with the coverage range of the second base station in the target period.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the base station revenue prediction method according to any one of claims 1 to 4 is implemented.

7. An electronic device, characterized in that: include: processor; as well as A memory, configured to store executable instructions of the processor; Wherein, the processor is configured to execute the base station revenue prediction method described in any one of claims 1 to 4 by executing the executable instructions.

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