Method, device and computer readable storage medium for determining high value base stations

Abstract

The application provides a high-value base station determination method and device and a computer readable storage medium, relates to the field of communication, and can avoid determining a wrong high-value base station and improve the accuracy of determining a high-value base station when a communication environment changes. The method comprises the following steps: obtaining a first parameter set of a base station; the first parameter set comprises a profit proportion of the base station and a traffic proportion of the base station, the profit proportion is a ratio of the profit of the base station in a preset time period to the profit of a corresponding operator of the base station in the preset time period, and the traffic proportion is a ratio of the traffic of the base station in the preset time period to the traffic of the operator in the preset time period; determining the value of the base station according to the first parameter set, a threshold corresponding to each first parameter in the first parameter set and a preset similarity algorithm; and determining the base station as a high-value base station when the value of the base station is greater than a first threshold.

Description

Technical Field

[0001] This application relates to the field of communications, and in particular to methods, apparatus and computer-readable storage media for identifying high-value base stations. Background Technology

[0002] Since telecommunications operators have limited network resources, in order to allocate these limited network resources to high-value base stations among multiple base stations, it is necessary to identify the high-value base stations among multiple base stations in advance.

[0003] One existing method for identifying high-value base stations is to compare multiple characteristic parameters of the base station with corresponding fixed thresholds one by one. If the number of characteristic parameters that exceed the corresponding fixed thresholds is greater than a certain number, the base station is identified as a high-value base station.

[0004] When the overall communication environment changes, for example, the characteristic parameters of multiple base stations may be poor for a certain period of time, or the characteristic parameters of multiple base stations may be below a certain fixed threshold for another period of time. In this case, existing solutions would determine that there are no high-value base stations among the multiple base stations. Alternatively, the characteristic parameters of multiple base stations may be good for a certain period of time, for example, the characteristic parameters of multiple base stations may be above a certain fixed threshold for another period of time. In this case, existing solutions would determine that all base stations are high-value base stations. In reality, the proportion of high-value base stations among multiple base stations is fixed; there will never be a situation where there are no high-value base stations or all of multiple base stations are high-value base stations. Therefore, existing methods may identify incorrect high-value base stations, resulting in low accuracy in identifying high-value base stations. Summary of the Invention

[0005] This application provides a method, apparatus, and computer-readable storage medium for determining high-value base stations, which can avoid identifying incorrect high-value base stations and improve the accuracy of identifying high-value base stations when the communication environment changes.

[0006] To achieve the above objectives, this application adopts the following technical solution:

[0007] Firstly, a method for determining high-value base stations is provided. The method includes: obtaining a first parameter set of the base station; the first parameter set includes the base station's profit share and traffic share, wherein the profit share is the ratio of the base station's profit in a preset time period to the profit of the base station's corresponding operator in the preset time period, and the traffic share is the ratio of the base station's traffic in the preset time period to the traffic of the operator in the preset time period; determining the value of the base station based on the first parameter set, a threshold corresponding to each first parameter in the first parameter set, and a preset similarity algorithm; and determining the base station as a high-value base station if the base station's value is greater than the first threshold.

[0008] Based on this scheme, a first set of parameters for each base station is obtained, including the base station's profit share and traffic share. The value of each base station is determined according to this first parameter set, the threshold corresponding to each first parameter, and a preset similarity algorithm. If the base station's value exceeds the first threshold, it is identified as a high-value base station. Compared to existing schemes that determine whether a base station is high-value solely based on its data, this application's scheme considers changes in the overall communication environment, i.e., operator data, because the first parameter is determined based on both base station data and operator data. Therefore, this application's scheme can avoid identifying incorrect high-value base stations even when the overall communication environment changes, thereby improving the accuracy of identifying high-value base stations.

[0009] In conjunction with the first aspect, in some embodiments of the first aspect, the first parameter set further includes the proportion of VIP users of the base station; the proportion of VIP users is the ratio of the number of first users of the base station to the number of second users of the base station, the second users are users whose dwell time at the base station is greater than a second threshold within a preset time period, and the first users are users among the second users whose consumption amount is greater than a third threshold.

[0010] Based on this scheme, when the first parameter set includes the proportion of VIP users of the base station, the comprehensiveness of the method for determining high-value base stations can be improved.

[0011] In conjunction with the first aspect, in some embodiments of the first aspect, the first parameter set further includes the user loyalty of the base station; the user loyalty is determined based on multiple network durations, each network duration being the total network duration of the user within a unit time period, the preset time period including multiple unit time periods, and the user loyalty and the multiple network durations satisfy the following relationship:

[0012]

[0013] Where l represents user loyalty, n represents the number of online sessions, and Y(i) represents the i-th online session.

[0014] Based on this scheme, when the first parameter set includes the user loyalty of the base station, the comprehensiveness of the method for determining high-value base stations can be improved.

[0015] In conjunction with the first aspect, in some embodiments of the first aspect, the value of the base station is determined based on a first parameter set, a threshold corresponding to each first parameter in the first parameter set, and a preset similarity algorithm. Specifically, this includes: each first parameter, the threshold corresponding to each first parameter, and the value of the base station satisfying the following relationship:

[0016]

[0017] Where sim(Q,H) represents the value of the base station, Q(I) represents the value of the i-th first parameter, H(i) represents the threshold corresponding to the i-th first parameter, and m represents the number of first parameters in the set of first parameters.

[0018] Secondly, a high-value base station determination apparatus is provided for implementing the high-value base station determination method of the first aspect described above. The high-value base station determination apparatus includes modules, units, or means corresponding to the above method. These modules, units, or means can be implemented in hardware, software, or by hardware executing corresponding software. The hardware or software includes one or more modules or units corresponding to the above functions.

[0019] In conjunction with the second aspect, in some embodiments of the second aspect, the apparatus for determining a high-value base station includes: an acquisition module and a processing module; the acquisition module is used to acquire a first parameter set of the base station; the first parameter set includes the base station's profit share and the base station's traffic share, wherein the profit share is the ratio of the base station's profit in a preset time period to the profit of the base station's corresponding operator in the preset time period, and the traffic share is the ratio of the base station's traffic in the preset time period to the traffic of the operator in the preset time period; the processing module is used to determine the value of the base station based on the first parameter set, a threshold corresponding to each first parameter in the first parameter set, and a preset similarity algorithm; the processing module is further used to determine the base station as a high-value base station if the base station's value is greater than the first threshold.

[0020] In conjunction with the second aspect, in some implementations of the second aspect, the first parameter set further includes the proportion of VIP users of the base station; the proportion of VIP users is the ratio of the number of first users of the base station to the number of second users of the base station, the second users are users whose dwell time at the base station is greater than a second threshold within a preset time period, and the first users are users among the second users whose consumption amount is greater than a third threshold.

[0021] In conjunction with the second aspect, in some embodiments of the second aspect, the first parameter set further includes the user loyalty of the base station; the user loyalty is determined based on multiple network durations, each network duration being the total network duration of the user within a unit time period, the preset time period including multiple unit time periods, and the user loyalty and the multiple network durations satisfy the following relationship:

[0022]

[0023] Where l represents user loyalty, n represents the number of online sessions, and Y(i) represents the i-th online session.

[0024] In conjunction with the second aspect, in some embodiments of the second aspect, the processing module is configured to determine the value of the base station based on a first parameter set, a threshold corresponding to each first parameter in the first parameter set, and a preset similarity algorithm. Specifically, this includes ensuring that each first parameter, the threshold corresponding to each first parameter, and the value of the base station satisfy the following relationship:

[0025]

[0026] Where sim(Q,H) represents the value of the base station, Q(i) represents the value of the i-th first parameter, H(i) represents the threshold corresponding to the i-th first parameter, and m represents the number of first parameters in the set of first parameters.

[0027] Thirdly, an apparatus for determining a high-value base station is provided, comprising: at least one processor and a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method provided by the first aspect and any possible implementation thereof.

[0028] Fourthly, a computer-readable storage medium is provided, wherein when instructions in the computer-readable storage medium are executed by a processor of a high-value base station determining device, the high-value base station determining device is enabled to perform the method provided in the first aspect and any possible implementation thereof.

[0029] Fifthly, a computer program product containing instructions is provided that, when run on a computer, enables the computer to perform the methods provided in the first aspect and any possible implementation thereof.

[0030] In a sixth aspect, a chip system is provided, comprising: a processor and an interface circuit; the interface circuit being configured to receive a computer program or instructions and transmit them to the processor; the processor being configured to execute the computer program or instructions to cause the chip system to perform the methods provided in the first aspect and any possible embodiments thereof.

[0031] The technical effects of any one of the second to sixth aspects can be found in the technical effects of the different embodiments of the first aspect described above, and will not be repeated here. Attached Figure Description

[0032] Figure 1 A schematic diagram of the architecture of a system for determining high-value base stations provided in this application;

[0033] Figure 2 A flowchart illustrating a method for determining a high-value base station provided in this application;

[0034] Figure 3 A schematic diagram of a determining device provided in this application;

[0035] Figure 4 A schematic diagram of another determining device provided in this application. Detailed Implementation

[0036] In the description of this application, unless otherwise stated, "multiple" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0037] Furthermore, to facilitate a clear description of the technical solutions in the embodiments of this application, the terms "first" and "second" are used in the embodiments of this application to distinguish identical or similar items with substantially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and the terms "first" and "second" are not necessarily different.

[0038] In this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being better or more advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner to facilitate understanding.

[0039] It is understood that the term "embodiment" used throughout the specification means that a specific feature, structure, or characteristic related to an embodiment is included in at least one embodiment of this application. Therefore, various embodiments throughout the specification do not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. It is understood that in the various embodiments of this application, the sequence number of each process does not imply the order of execution; the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0040] It is understood that in this application, "when," "if," and "if" all refer to the corresponding processing that will be carried out under certain objective circumstances, and are not limited to a specific time, nor do they require that there must be a judgment action when implemented, nor do they imply any other limitations.

[0041] It is understood that some optional features in the embodiments of this application can be implemented independently in certain scenarios without relying on other features, such as the current solution on which they are based, to solve the corresponding technical problems and achieve the corresponding effects. Alternatively, they can be combined with other features as needed in certain scenarios. Correspondingly, the apparatus given in the embodiments of this application can also implement these features or functions, which will not be elaborated here.

[0042] In this application, unless otherwise specified, the same or similar parts between the various embodiments can be referred to each other. In the various embodiments and implementation methods of the various embodiments in this application, unless otherwise specified or logically conflicting, the terminology and / or descriptions between different embodiments and between the implementation methods of the various embodiments are consistent and can be mutually referenced. The technical features in different embodiments and between the implementation methods of the various embodiments can be combined according to their inherent logical relationships to form new embodiments, implementation methods, implementation methods, or implementation approaches. The following embodiments of this application do not constitute a limitation on the scope of protection of this application.

[0043] Figure 1 This is a schematic diagram of the architecture of a high-value base station determination system provided in this application. The technical solutions of the embodiments of this application can be applied to... Figure 1 The system for identifying high-value base stations shown is as follows: Figure 1 As shown, the high-value base station determination system 10 includes a high-value base station determination device 11 and an electronic device 12.

[0044] The high-value base station determination device 11 is directly or indirectly connected to the electronic device 12. This connection can be wired or wireless, and this application embodiment does not limit the connection.

[0045] The high-value base station identification device 11 can be used to receive data from the electronic device 12.

[0046] Electronic device 12 can be used to send data to determination device 11 of high-value base stations.

[0047] It should be noted that the high-value base station determination device 11 and the electronic device 12 can be independent devices or integrated into the same device; this application does not make specific limitations in this regard.

[0048] When the high-value base station determining device 11 and the electronic device 12 are integrated into the same device, the communication method between the high-value base station determining device 11 and the electronic device 12 is the communication between modules within the device. In this case, the communication process between the two is the same as the communication process between the high-value base station determining device 11 and the electronic device 12 when they are independent of each other.

[0049] In the following embodiments provided in this application, the high-value base station determination device 11 and electronic device 12 are described as being configured independently of each other.

[0050] In practical applications, the method for determining high-value base stations provided in this application embodiment can be applied to the high-value base station determining device 11, or to the devices included in the high-value base station determining device 11.

[0051] The method for determining high-value base stations provided in this application will be described below with reference to the accompanying drawings, taking the application of the method for determining high-value base stations to the device 11 for determining high-value base stations as an example.

[0052] It should be noted that, for ease of description, the device for determining high-value base stations will be referred to as the determining device in the following parts of the specific implementation of this application. This application will describe it uniformly here and will not repeat it hereafter.

[0053] Figure 2 A flowchart illustrating a method for determining a high-value base station provided in this application is shown below. Figure 2 As shown, the method for determining this high-value base station includes the following steps:

[0054] S201, Determine the device to obtain the first set of parameters of the base station.

[0055] The first parameter set includes the base station's profit share and the base station's traffic share. The profit share is the ratio of the base station's profit in a preset time period to the base station's corresponding operator's profit in a preset time period, and the traffic share is the ratio of the base station's traffic in a preset time period to the operator's traffic in a preset time period.

[0056] It should be noted that the preset time period can be a pre-defined period of time, such as 30 days, 60 days, or 180 days. The preset time period can also be a billing cycle of the operator, such as a calendar month. This application does not impose any restrictions on this.

[0057] For example, the profit share of a base station can be 10%, or it can be 20%, or it can be 30%, and this application does not limit it in this way.

[0058] The traffic share of a base station can be 11%, or 21%, or 31%, and this application does not impose any restrictions on this.

[0059] As one possible implementation method, combined Figure 1The determining device receives a message from the electronic device 12, the message including a first set of parameters of the base station, and the determining device obtains the first set of parameters of the base station from the message.

[0060] As another possible implementation, the determining device obtains the base station's profit, the base station's corresponding operator's profit, the base station's traffic, and the operator's traffic within a preset time period from the MySQL database of the operator's operating platform. The ratio of the base station's profit to the base station's corresponding operator's profit within a preset time period is taken as the base station's profit share, and the ratio of the base station's traffic to the operator's traffic within a preset time period is taken as the base station's traffic share. Finally, the base station's profit share and the base station's traffic share are taken as each first parameter in the first parameter set.

[0061] For example, if the base station's profit during a preset time period is Gi, and the corresponding operator's profit during the same time period is GN, then the determining device determines the base station's profit share as Pi = Gi / GN. If the base station's traffic during the preset time period is Li, and the corresponding operator's traffic during the same time period is LN, then the determining device determines the base station's traffic share as Fi = Li / LN. Finally, the determining device uses Pi and Fi as each of the first parameters in the first parameter set.

[0062] S202, The determining device determines the value of the base station based on the first parameter set, the threshold corresponding to each first parameter in the first parameter set, and the preset similarity algorithm.

[0063] It should be noted that the preset similarity algorithm can be the Euclidean distance similarity algorithm, or other similarity algorithms, and this application does not impose any restrictions on this.

[0064] For example, if the preset similarity algorithm is the Euclidean distance similarity algorithm, the preset similarity algorithm can be:

[0065]

[0066] Where sim(Q,H) represents the value of the base station, Q(i) represents the value of the i-th first parameter, H(i) represents the threshold corresponding to the i-th first parameter, and m represents the number of first parameters in the set of first parameters.

[0067] As one possible implementation, a pre-defined similarity algorithm is used. For example, the value of each first parameter, the threshold corresponding to each first parameter, and the base station satisfy the following relationship:

[0068]

[0069] The determining device inputs the value of each first parameter in the first parameter set and the threshold corresponding to each first parameter. In this process, the value of the base station, sim(Q,H), is determined.

[0070] It should be noted that the value range of sim(Q,H) is [0, 1].

[0071] S203. If the value of the base station is greater than the first threshold, the determining device determines that the base station is a high-value base station.

[0072] It should be noted that the first threshold can be 0.7, or it can be 0.65, or it can be 0.75; this application does not impose any restrictions on it.

[0073] As one possible implementation, taking a first threshold of 0.7 as an example, if the value of a base station is 0.8, the determining device determines that the base station is a high-value base station.

[0074] Once the determining device identifies a base station as a high-value base station, a series of resource allocations can be carried out for the high-value base station. For example, new base stations can be reasonably added near the high-value base station, network optimization can be performed for the high-value base station to improve its network quality, and higher-priced service packages can be provided to users under the high-value base station to increase its profits.

[0075] Based on this scheme, a first set of parameters for each base station is obtained, including the base station's profit share and traffic share. The value of each base station is determined according to this first parameter set, the threshold corresponding to each first parameter, and a preset similarity algorithm. If the base station's value exceeds the first threshold, it is identified as a high-value base station. Compared to existing schemes that determine whether a base station is high-value solely based on its data, this application's scheme considers changes in the overall communication environment, i.e., operator data, because the first parameter is determined based on both base station data and operator data. Therefore, this application's scheme can avoid identifying incorrect high-value base stations even when the overall communication environment changes, thereby improving the accuracy of identifying high-value base stations.

[0076] The above is a general introduction to the scheme of this application. The scheme of this application will be further explained below.

[0077] In one design, the first set of parameters also includes the percentage of very important person (VIP) users at the base station.

[0078] Among them, the VIP user ratio is the ratio of the number of first users of the base station to the number of second users of the base station. The second users are users whose stay time at the base station is greater than the second threshold within a preset time period, and the first users are users whose consumption amount is greater than the third threshold among the second users.

[0079] It should be noted that, when the preset time period is 30 days, the second threshold can be 20 days, or the second threshold can be 22 days, or the second threshold can be 25 days, and this application does not impose any restrictions on this.

[0080] For example, with a preset time period of 30 days and a second threshold of 20 days, the second user is a user whose stay time at the base station is more than 20 days within the 30 days.

[0081] The third threshold can be 300 yuan, or it can be 250 yuan, or it can be 350 yuan; this application does not impose any restrictions on this.

[0082] For example, taking the second user mentioned above as an example, if the third threshold is 300 yuan, the first user is the user among the second users whose consumption amount is greater than 300 yuan.

[0083] The percentage of VIP users of a base station can be determined by the device receiving a message from electronic device 12, which includes the percentage of VIP users of the base station, and the device obtaining the percentage of VIP users of the base station from the message.

[0084] Alternatively, the device can determine the second user whose dwell time at the base station exceeds the second threshold and the first user whose consumption amount exceeds the third threshold within a preset time period from the MySQL database of the operator corresponding to the base station, and use the ratio of the first user to the second user as the proportion of VIP users of the base station.

[0085] For example, if the number of second users of the base station within a preset time period is VN, and the number of first users of the base station within the preset time period is Vi, then the determining device determines the profit share of the base station as Ui = Vi / VN.

[0086] Based on this scheme, when the first parameter set includes the proportion of VIP users of the base station, the comprehensiveness of the method for determining high-value base stations can be improved.

[0087] In one design, the first set of parameters also includes the user loyalty of the base station.

[0088] User loyalty is determined based on multiple online durations, where each online duration is the total online time of the user within a unit time period. The preset time period includes multiple unit time periods, and user loyalty and multiple online durations satisfy the following relationship:

[0089]

[0090] Where l represents user loyalty, n represents the number of online sessions, and Y(i) represents the i-th online session.

[0091] It should be noted that, taking a preset time period of 30 days as an example, the unit time period can be one day, then each online time is the total online time of the user per day.

[0092] The total online time of a user can be the total online time of all users accessing the base station, or it can be the total online time of a second user of the base station. This application does not impose any restrictions on this.

[0093] Taking a total of 30 online hours as an example, in the above formula relating user loyalty to multiple online hours, n takes the value of 30, i takes the value of [1, 30], Y(1) is the value of the first online hour, Y(2) is the value of the second online hour, Y(3) is the value of the third online hour, and so on.

[0094] For the user loyalty of a base station, the determining device may receive a message from electronic device 12, which includes the user loyalty of the base station, and obtain the user loyalty of the base station from the message.

[0095] Alternatively, the device can obtain multiple online durations from the MySQL database of the operator's platform corresponding to the base station, and determine the user loyalty of the base station based on the multiple online durations and the above-mentioned relationship between user loyalty and multiple online durations.

[0096] Based on this scheme, when the first parameter set includes the user loyalty of the base station, the comprehensiveness of the method for determining high-value base stations can be improved.

[0097] The foregoing mainly describes the solution provided by the embodiments of this application from the perspective of determining the method for determining high-value base stations. To achieve the above functions, the determining device includes hardware structures and / or software modules corresponding to each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, the embodiments of this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0098] This application embodiment can divide the determining device into functional modules according to the above method example. For example, each function can be divided into a separate functional module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. Optionally, the module division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation. Furthermore, "module" here can refer to an application-specific integrated circuit (ASIC), a circuit, a processor and memory executing one or more software or firmware programs, integrated logic circuits, and / or other devices that can provide the above functions.

[0099] When using functional module division Figure 3 A schematic diagram of a determining device is shown. Figure 3 As shown, the determining device 30 includes an acquisition module 301 and a processing module 302.

[0100] In some embodiments, the determining device 30 may further include a storage module ( Figure 3 (Not shown in the image) is used to store program instructions and data.

[0101] The acquisition module 301 is used to acquire a first parameter set of the base station; the first parameter set includes the base station's profit share and the base station's traffic share, wherein the profit share is the ratio of the base station's profit in a preset time period to the profit of the base station's corresponding operator in a preset time period, and the traffic share is the ratio of the base station's traffic in a preset time period to the traffic of the operator in a preset time period; the processing module 302 is used to determine the value of the base station based on the first parameter set, the threshold corresponding to each first parameter in the first parameter set, and a preset similarity algorithm; the processing module 302 is also used to determine the base station as a high-value base station if the base station's value is greater than the first threshold.

[0102] Optionally, the first parameter set also includes the proportion of VIP users of the base station; the proportion of VIP users is the ratio of the number of first users of the base station to the number of second users of the base station, the second users are users whose dwell time at the base station is greater than a second threshold within a preset time period, and the first users are users among the second users whose consumption amount is greater than a third threshold.

[0103] Optionally, the first parameter set also includes the user loyalty of the base station; the user loyalty is determined based on multiple network durations, each network duration being the total network duration of the user within a unit time period, and the preset time period includes multiple unit time periods. The user loyalty and the multiple network durations satisfy the following relationship:

[0104]

[0105] Where l represents user loyalty, n represents the number of online sessions, and Y(i) represents the i-th online session.

[0106] Optionally, the processing module 302 is used to determine the value of the base station based on the first parameter set, the threshold corresponding to each first parameter in the first parameter set, and a preset similarity algorithm. Specifically, the value of each first parameter, the threshold corresponding to each first parameter, and the base station satisfy the following relationship:

[0107]

[0108] Where sim(Q,H) represents the value of the base station, Q(i) represents the value of the i-th first parameter, H(i) represents the threshold corresponding to the i-th first parameter, and m represents the number of first parameters in the set of first parameters.

[0109] All relevant content of each step involved in the above method embodiments can be referenced from the functional description of the corresponding functional module, and will not be repeated here.

[0110] When the functions of the above modules are implemented in hardware... Figure 4 A schematic diagram of a determining device is shown. Figure 4 As shown, the determining device 40 includes a processor 401, a memory 402, and a bus 403. The processor 401 and the memory 402 can be connected via the bus 403.

[0111] Processor 401 is the control center of determining device 40. It can be a single processor or a collective term for multiple processing elements. For example, processor 401 can be a general-purpose central processing unit (CPU) or other general-purpose processors. Among them, the general-purpose processor can be a microprocessor or any conventional processor.

[0112] As one embodiment, processor 401 may include one or more CPUs, for example Figure 4 CPU 0 and CPU 1 are shown in the diagram.

[0113] The memory 402 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto.

[0114] As one possible implementation, the memory 402 can exist independently of the processor 401. The memory 402 can be connected to the processor 401 via a bus 403 and is used to store instructions or program code. When the processor 401 calls and executes the instructions or program code stored in the memory 402, it can implement the method for determining high-value base stations provided in this application embodiment.

[0115] In another possible implementation, the memory 402 can also be integrated with the processor 401.

[0116] Bus 403 can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. This bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0117] It should be pointed out that, Figure 4 The structure shown does not constitute a limitation on the determining device 40. Except... Figure 4 In addition to the components shown, the determining device 40 may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0118] As an example, combined Figure 3 The functions implemented by the acquisition module 301 and the processing module 302 in the determination device 30 are... Figure 4 The processor 401 in it has the same function.

[0119] Optional, such as Figure 4 As shown, the determining device 40 provided in this application embodiment may further include a communication interface 404.

[0120] Communication interface 404 is used to connect with other devices via a communication network. This communication network can be Ethernet, a wireless access network, a wireless local area network (WLAN), etc. Communication interface 404 may include a receiving unit for receiving data and a transmitting unit for transmitting data.

[0121] In one possible implementation, the communication interface 404 in the determining device 40 provided in this application embodiment can also be integrated into the processor 401, and this application embodiment does not specifically limit this.

[0122] As a possible product form, the determining device in the embodiments of this application can also be implemented using one or more field programmable gate arrays (FPGAs), programmable logic devices (PLDs), controllers, state machines, gate logic, discrete hardware components, any other suitable circuits, or any combination of circuits capable of performing the various functions described throughout this application.

[0123] Through the above description of the embodiments, those skilled in the art will clearly understand that, for the sake of convenience and brevity, only the division of the above functional units is used as an example. In practical applications, the above functions can be assigned to different functional units as needed, that is, the internal structure of the device can be divided into different functional units to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0124] This application also provides a computer-readable storage medium storing a computer program or instructions thereon, which, when executed, causes a computer to perform the various steps in the method flow shown in the above method embodiments.

[0125] Embodiments of this application provide a computer program product containing instructions that, when executed on a computer, cause the computer to perform the various steps in the method flow shown in the above-described method embodiments.

[0126] This application provides a chip system, including: a processor and an interface circuit; the interface circuit is used to receive computer programs or instructions and transmit them to the processor; the processor is used to execute the computer programs or instructions so that the chip system performs each step in the method flow shown in the above method embodiments.

[0127] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), registers, hard disks, optical fibers, compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing, or any other form of computer-readable storage medium in the art. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium may also be a component of the processor. The processor and the storage medium may reside in a purpose-specific ASIC. In the embodiments of this application, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0128] Since the determining device, computer-readable storage medium, and computer program product provided in this embodiment can be applied to the method for determining high-value base stations provided in this embodiment, the technical effects that can be obtained can also be referred to the above method embodiments. The embodiments of this application will not be repeated here.

[0129] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, the disclosure, and the appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0130] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely exemplary illustrations of this application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from the spirit and scope of this application. Thus, if such modifications and modifications of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include such modifications and modifications.

Claims

1. A method for determining high-value base stations, characterized in that, The method includes: Obtain a first set of parameters for the base station; the first set of parameters includes the profit share of the base station and the traffic share of the base station, wherein the profit share is the ratio of the base station's profit in a preset time period to the profit of the operator corresponding to the base station in the preset time period, and the traffic share is the ratio of the base station's traffic in the preset time period to the operator's traffic in the preset time period; the first parameters are determined based on the data of the base station and the data of the operator, and are used to take into account the changes in the communication environment of the operator in the preset time period; The first parameter set also includes the proportion of VIP users of the base station; the proportion of VIP users is the ratio of the number of first users of the base station to the number of second users of the base station, the second users are users whose stay time at the base station during the preset time period is greater than a second threshold, and the first users are users among the second users whose consumption amount is greater than a third threshold. The value of the base station is determined based on the first parameter set, the threshold corresponding to each first parameter in the first parameter set, and a preset similarity algorithm. If the value of a base station is greater than a first threshold, the base station is determined to be a high-value base station.

2. The method according to claim 1, characterized in that, The step of determining the value of the base station based on the first parameter set, the threshold corresponding to each first parameter in the first parameter set, and a preset similarity algorithm specifically includes: Each first parameter, the threshold corresponding to each first parameter, and the value of the base station satisfy the following relationship: sim(Q,H)= Where sim(Q,H) represents the value of the base station. This represents the value of the i-th first parameter. Let represent the threshold corresponding to the i-th first parameter, and m represent the number of first parameters in the first parameter set.

3. A device for identifying high-value base stations, characterized in that, The device for determining high-value base stations includes: an acquisition module and a processing module; The acquisition module is used to acquire a first set of parameters for the base station; the first set of parameters includes the profit share of the base station and the traffic share of the base station, wherein the profit share is the ratio of the base station's profit in a preset time period to the profit of the operator corresponding to the base station in the preset time period, and the traffic share is the ratio of the base station's traffic in the preset time period to the operator's traffic in the preset time period; the first parameters are determined based on the data of the base station and the data of the operator, and are used to take into account the changes in the communication environment of the operator in the preset time period; The first parameter set also includes the proportion of VIP users of the base station; the proportion of VIP users is the ratio of the number of first users of the base station to the number of second users of the base station, the second users are users whose stay time at the base station during the preset time period is greater than a second threshold, and the first users are users among the second users whose consumption amount is greater than a third threshold. The processing module is used to determine the value of the base station based on the first parameter set, the threshold corresponding to each first parameter in the first parameter set, and a preset similarity algorithm; The processing module is further configured to determine that the base station is a high-value base station if the value of the base station is greater than a first threshold.

4. The apparatus for determining high-value base stations according to claim 3, characterized in that, The processing module is configured to determine the value of the base station based on the first parameter set, the threshold corresponding to each first parameter in the first parameter set, and a preset similarity algorithm, specifically including: Each first parameter, the threshold corresponding to each first parameter, and the value of the base station satisfy the following relationship: sim(Q,H)= Where sim(Q,H) represents the value of the base station. This represents the value of the i-th first parameter. Let represent the threshold corresponding to the i-th first parameter, and m represent the number of first parameters in the first parameter set.

5. A device for identifying high-value base stations, characterized in that, The high-value base station determination device includes: a processor coupled to a memory for storing programs or instructions, wherein when the program or instructions are executed by the processor, the high-value base station determination device performs the method as described in any one of claims 1 to 2.

6. A computer-readable storage medium having a computer program or instructions stored thereon, characterized in that, When the computer program or instructions are executed, they cause the computer to perform the method as described in any one of claims 1 to 2.

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