A traffic prediction method, device and storage medium

Abstract

The application provides a service quantity prediction method and device and a storage medium, relates to the technical field of communication, and aims to solve the technical problem of how to predict the service quantity in the coverage area of a 5G base station in the prior art. The service quantity prediction method comprises the following steps: determining the number of target terminals; the target terminal is a first terminal using a first service after a first preset time period; determining a target network rate; the target network rate is an average network rate of the first service after the first preset time period; determining a target service duration; the target service duration is a service duration of the target terminal using the first service after the first preset time period; and predicting the service quantity of the target terminal using the first service according to the number of target terminals, the target network rate and the target service duration.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, and particularly relates to a service volume prediction method and device and storage medium. BACKGROUND

[0002] With the rapid development of the 5th Generation Mobile Communication Technology (5G), the number of 5G base stations is also increasing, and more and more users can realize 5G services through the 5G base stations.

[0003] In the process of constructing the 5G base station, the planning strategy of the 5G network provided by the 5G base station needs to be determined according to the service volume in the coverage area of the 5G base station, and therefore, how to accurately predict the service volume in the coverage area of the 5G base station is a problem to be solved at present. SUMMARY

[0004] The present application provides a service volume prediction method and device and storage medium, and is used for solving the technical problem of how to predict the service volume in the coverage area of the 5G base station in the prior art.

[0005] To achieve the above object, the present application adopts the following technical scheme:

[0006] In a first aspect, a service volume prediction method is provided, comprising: determining the number of target terminals; the target terminal is a first terminal using a first service after a first preset time period; determining a target network rate; the target network rate is an average network rate of the first service after the first preset time period; determining a target service duration; the target service duration is a service duration of the target terminal using the first service after the first preset time period; and predicting the service volume of the target terminal using the first service according to the number of target terminals, the target network rate and the target service duration.

[0007] Optionally, the determining the quantity of the target terminals comprises: predicting the quantity of the third terminals according to the quantity of the second terminals; the second terminals are terminals whose prices are greater than a first preset price in a second preset time period; the third terminals are terminals whose prices are greater than the first preset price after a first preset time period; the second preset time period is before the first preset time period; obtaining a shipment rate of the first terminals in the third terminals; determining the quantity of the first terminals after the first preset time period as a product of the shipment rate and the quantity of the third terminals; determining a first ratio as a ratio of the quantity of the fourth terminals to the quantity of the second terminals; the fourth terminals are terminals in the second terminals whose package prices are greater than a second preset price; predicting a second ratio according to the first ratio; the second ratio is a ratio of the quantity of the fifth terminals to the quantity of the third terminals; the fifth terminals are terminals in the third terminals whose package prices are greater than the second preset price; and determining the quantity of the target terminals as a product of the quantity of the first terminals after the first preset time period and the second ratio.

[0008] Optionally, the determining the target network rate comprises: predicting a traffic volume of a target type of service used by the fifth terminals according to a traffic volume of the target type of service used by the fourth terminals; determining a third ratio as a ratio of the traffic volume of the target type of service used by the fifth terminals to a traffic volume of all types of service used by the fifth terminals; and determining the target network rate according to a network rate corresponding to the target type of service and the third ratio.

[0009] Optionally, the determining the target service duration comprises: predicting a second service duration according to a first service duration; the first service duration is a service duration of a second service used by the fourth terminals; the second service duration is a service duration of a first service used by the fifth terminals; determining a fourth ratio as a ratio of a third service duration to a fourth service duration; the third service duration is a service duration of the second service used by the first terminals in a third preset time period; the fourth service duration is a service duration of the first service used by the first terminals in a fourth preset time period after the first planning strategy is implemented; the fourth preset time period is after the third preset time period; and determining the target service duration as a product of the second service duration and the fourth ratio.

[0010] Optionally, the method further comprises: determining the first planning strategy as a target planning strategy when a traffic volume of the first service used by the target terminals is less than or equal to a traffic volume threshold corresponding to the first planning strategy; and outputting a prompt information when the traffic volume of the first service used by the target terminals is greater than the traffic volume threshold corresponding to the first planning strategy; the prompt information is used to prompt to change the first planning strategy to a second planning strategy.

[0011] In a second aspect, a traffic volume prediction apparatus is provided, comprising a determining unit and a prediction unit; the determining unit is configured to determine a target terminal quantity; the target terminal is a first terminal using a first service after a first preset time period; the determining unit is further configured to determine a target network rate; the target network rate is an average network rate of the first service after the first preset time period; the determining unit is further configured to determine a target service duration; the target service duration is a service duration of the target terminal using the first service after the first preset time period; and the prediction unit is configured to predict a traffic volume of the target terminal using the first service according to the target terminal quantity, the target network rate and the target service duration.

[0012] Optionally, the determining unit is specifically configured to: predict a third terminal quantity according to a second terminal quantity; the second terminal is a terminal whose price is greater than a first preset price within a second preset time period; the third terminal is a terminal whose price is greater than the first preset price after a first preset time period; the second preset time period is before the first preset time period; obtain a shipment rate of the first terminal in the third terminal; determine a product of the shipment rate and the third terminal quantity as the first terminal quantity after the first preset time period; determine a first ratio value as a ratio of a fourth terminal quantity to the second terminal quantity; the fourth terminal is a terminal in the second terminal whose package price is greater than a second preset price; predict a second ratio value according to the first ratio value; the second ratio value is a ratio of a fifth terminal quantity to the third terminal quantity; the fifth terminal is a terminal in the third terminal whose package price is greater than the second preset price; and determine a product of the first terminal quantity after the first preset time period and the second ratio value as the target terminal quantity.

[0013] Optionally, the determining unit is specifically configured to: predict a target-class-service traffic volume used by a fifth terminal according to a target-class-service traffic volume used by a fourth terminal; determine a third ratio value as a ratio of the target-class-service traffic volume used by the fifth terminal to a total-class-service traffic volume used by the fifth terminal; and determine the target network rate according to a network rate corresponding to the target-class-service and the third ratio value.

[0014] Optionally, the determining unit is specifically configured to: predict a second service duration according to a first service duration; the first service duration is a service duration of a second service used by the fourth terminal; the second service duration is a service duration of the first service used by the fifth terminal; determine a fourth ratio value as a ratio of a third service duration to a fourth service duration; the third service duration is a service duration of the second service used by the first terminal within a third preset time period; the fourth service duration is a service duration of the first service used by the first terminal within a fourth preset time period after using a first planning strategy; the fourth preset time period is after the third preset time period; and determine a product of the second service duration and the fourth ratio value as the target service duration.

[0015] Optionally, the method further comprises: outputting a prompt information when the traffic volume of the target terminal using the first service is greater than the traffic volume threshold corresponding to the first planning strategy; and prompting the first planning strategy to be changed to a second planning strategy.

[0016] In a third aspect, a traffic volume prediction apparatus is provided, which comprises a memory and a processor; the memory is configured to store computer-executable instructions; the processor is connected to the memory through a bus; when the traffic volume prediction apparatus is running, the processor executes the computer-executable instructions stored in the memory, so that the traffic volume prediction apparatus executes the traffic volume prediction method in the first aspect.

[0017] The traffic volume prediction apparatus can be a network device, or a part of the network device, for example, a chip system in the network device. The chip system is configured to support the network device to implement the functions involved in the first aspect and any possible implementation manner thereof, for example, acquiring, determining and sending the data and / or information involved in the traffic volume prediction method. The chip system comprises a chip, and can further comprise other discrete devices or circuit structures.

[0018] In a fourth aspect, a computer-readable storage medium is provided, which comprises computer-executable instructions. When the computer-executable instructions are running on a computer, the computer is caused to execute the traffic volume prediction method in the first aspect.

[0019] In a fifth aspect, a computer program product is further provided, which comprises computer instructions. When the computer instructions are running on a traffic volume prediction apparatus, the traffic volume prediction apparatus is caused to execute the traffic volume prediction method in the first aspect.

[0020] It should be noted that the computer instructions can be stored on the computer-readable storage medium in whole or in part. The computer-readable storage medium can be packaged together with the processor of the traffic volume prediction apparatus, or packaged separately from the processor of the traffic volume prediction apparatus, and the embodiments of the present application do not limit this.

[0021] The second aspect, the third aspect, the fourth aspect and the fifth aspect in the present application can refer to the detailed description of the first aspect.

[0022] In the embodiments of the present application, the names of the service amount prediction apparatuses do not constitute a limitation on the devices or functional modules themselves, and in actual implementation, these devices or functional modules can appear with other names. For example, the receiving unit can also be referred to as a receiving module, a receiver, or the like. As long as the functions of the respective devices or functional modules are similar to those of the present application, they belong to the scope of the claims of the present application and equivalent technologies thereof.

[0023] The technical solutions provided by the present application at least have the following beneficial effects:

[0024] Based on any of the above aspects, the present application provides a service amount prediction method, including: an electronic device can determine the number of target terminals, a target network rate, and a target service duration. The number of target terminals is the number of first terminals using a first service after a first preset time period. The target network rate is the average network rate of the first service after the first preset time period. The target service duration is the service duration of the target terminals using the first service after the first preset time period. In this case, the electronic device can predict the service amount of the target terminals using the first service according to the number of target terminals, the target network rate, and the target service duration.

[0025] As can be seen from the above, the electronic device can determine the number of target terminals, a target network rate, and a target service duration. Then, the electronic device can predict the service amount of the target terminals using the first service according to the number of target terminals, the target network rate, and the target service duration. When the target terminals are 5G terminals and the first service is a 5G service provided by a 5G base station, the electronic device can accurately predict the 5G service amount in the coverage area of the 5G base station according to the service amount of the target terminals using the first service, so that the electronic device can determine the planning strategy of the 5G network according to the 5G service amount in the coverage area of the 5G base station.

[0026] The beneficial effects of the first aspect, the second aspect, the third aspect, the fourth aspect, and the fifth aspect of the present application can be referred to the analysis of the above beneficial effects, which will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0027] Figure 1 A structural schematic diagram of a service amount prediction system provided by an embodiment of the present application;

[0028] Figure 2 A hardware structure schematic diagram of a service amount prediction apparatus provided by an embodiment of the present application Figure 1 ;

[0029] Figure 3 A hardware structure schematic diagram of a service amount prediction apparatus provided by an embodiment of the present application Figure 2 ;

[0030] Figure 4A flowchart of a service volume prediction method provided for an embodiment of the present application Figure 1 ;

[0031] Figure 2 A flowchart of a service volume prediction method provided for an embodiment of the present application Figure 6 ;

[0032] Figure 3 A flowchart of a service volume prediction method provided for an embodiment of the present application Figure 7 ;

[0033] Figure 4 A flowchart of a service volume prediction method provided for an embodiment of the present application Figure 8 ;

[0034] Figure 5 A flowchart of a service volume prediction method provided for an embodiment of the present application Figure 9 ;

[0035] Figure 1 A structural diagram of a service volume prediction device provided for an embodiment of the present application. DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0037] It should be noted that in the embodiments of the present application, the words such as "exemplary" or "for example" are used to represent as an example, illustration or description. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words such as "exemplary" or "for example" are intended to present the relevant concept in a specific manner.

[0038] In order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, the words such as "first", "second" are used to distinguish the same or similar items with basically the same function and role, and those skilled in the art can understand that the words such as "first", "second" are not limited in quantity and execution order.

[0039] As described in the background, with the rapid development of 5G, the number of 5G base stations is also increasing, and more and more users can realize 5G services through 5G base stations.

[0040] In the process of constructing a 5G base station, it is necessary to determine the planning strategy of the 5G network provided by the 5G base station according to the traffic in the coverage area of the 5G base station. Therefore, how to accurately predict the traffic in the coverage area of the 5G base station is a problem to be solved at present.

[0041] To solve the above problems, the application provides a traffic prediction method, which comprises: an electronic device can determine the number of target terminals, a target network rate, and a target service duration. The number of target terminals is the number of first terminals using a first service after a first preset time period. The target network rate is the average network rate of the first service after the first preset time period. The target service duration is the service duration of the target terminals using the first service after the first preset time period. In this case, the electronic device can predict the traffic of the target terminals using the first service according to the number of target terminals, the target network rate, and the target service duration.

[0042] As can be seen from the above, the electronic device can determine the number of target terminals, the target network rate, and the target service duration. Then, the electronic device can predict the traffic of the target terminals using the first service according to the number of target terminals, the target network rate, and the target service duration. When the target terminals are 5G terminals and the first service is a 5G service provided by a 5G base station, the electronic device can accurately predict the 5G traffic in the coverage area of the 5G base station according to the traffic of the target terminals using the first service, so that the electronic device can determine the planning strategy of the 5G network according to the 5G traffic in the coverage area of the 5G base station.

[0043] The traffic prediction method is suitable for a traffic prediction system. Figure 1 A structure of the traffic prediction system is shown. As shown in Figure 2 The traffic prediction system comprises an electronic device 101, a base station 102, and a plurality of terminals 103.

[0044] The electronic device 101 and the base station 102 are communicatively connected. The base station 102 and the plurality of terminals 103 are respectively communicatively connected.

[0045] In the present application, the base station 102 can obtain the number of the plurality of terminals 103 in its coverage area, i.e. the number of the plurality of terminals 103 in a historical time period (i.e. the second time period in the present application). Then, the base station 102 can send the obtained number of the plurality of terminals 103 in the historical time period (i.e. the second time period in the present application) to the electronic device 101. After that, the electronic device 101 predicts the traffic of the first terminals using the first service after a future time period (i.e. the first time period in the present application) according to the number of the plurality of terminals 103 in the historical time period (i.e. the second time period in the present application) sent by the base station 102.

[0046] The first service can be a 5G service. The first terminal can be a 5G terminal.

[0047] Optionally, the base station 102 can be a base station or a base station controller of wireless communication. In the embodiments of the present application, the base station can be a base station (base transceiver station, BTS) in a global system for mobile communication (GSM), a base station (nodeB) in a wideband code division multiple access (WCDMA), a base station (eNB) in an internet of things (IoT) or narrow band-internet of things (NB-IoT), a base station in a future 5G mobile communication network or a future evolved public land mobile network (PLMN), and the embodiments of the present application do not make any limitation thereto.

[0048] Optionally, the electronic device 101 and the base station 102 can be two devices, or can be integrated devices, and the embodiments of the present application do not make any limitation thereto.

[0049] Optionally, the plurality of terminals 103 can be devices that provide voice and / or data connectivity to users, handheld devices with wireless connection capabilities, or other processing devices connected to wireless modems. The terminal can communicate with one or more core networks via a radio access network (RAN). The terminal can be a mobile terminal, such as a mobile phone (or called "cellular" phone) and a computer with a mobile terminal, and can also be a portable, pocket, handheld, computer built-in or vehicle mounted mobile device that exchanges language and / or data with a radio access network, such as a mobile phone, a tablet computer, a notebook computer, a netbook, a personal digital assistant (PDA).

[0050] The basic hardware structure of the electronic device 101 includes Figure 3 or Figure 2 elements included in the traffic volume prediction device. Hereinafter, the hardware structure of the electronic device 101 will be introduced by taking the traffic volume prediction device shown in Figure 3 and Figure 2 as an example.

[0051] As shown in Figure 2As shown in FIG. 1, a hardware structure schematic diagram of the traffic prediction device provided by the embodiment of the present application is shown. The traffic prediction device comprises a processor 21, a memory 22, a communication interface 23 and a bus 24. The processor 21, the memory 22 and the communication interface 23 can be connected through the bus 24.

[0052] The processor 21 is the control center of the traffic prediction device, which can be one processor or a general term of multiple processing elements. For example, the processor 21 can be a general central processing unit (CPU), or other general processors, etc. The general processor can be a microprocessor or any conventional processor, etc.

[0053] As an embodiment, the processor 21 can comprise one or more CPUs, such as the CPU 0 and the CPU 1 shown in FIG. 1. Figure 2

[0054] The memory 22 can be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program codes in the form of instructions or data structures and can be accessed by a computer, but is not limited to this.

[0055] In a possible implementation, the memory 22 can exist independently of the processor 21. The memory 22 can be connected to the processor 21 through the bus 24, for storing instructions or program codes. When the processor 21 invokes and executes the instructions or program codes stored in the memory 22, the traffic prediction method provided by the embodiments of the present application can be implemented.

[0056] In the embodiments of the present application, the software programs stored in the memory 22 of the electronic device 101 are different, so the functions implemented by the electronic device 101 are different. The functions performed by each device will be described in combination with the flowcharts below.

[0057] In another possible implementation, the memory 22 can also be integrated with the processor 21.

[0058] ​The communication interface 23 is configured to connect the traffic prediction device to other devices through a communication network, which can be an Ethernet network, a wireless access network, a wireless local area network (WLAN), or the like. The communication interface 23 can include a receiving unit configured to receive data, and a sending unit configured to send data.

[0059] The bus 24 can be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, an extended industry standard architecture (EISA) bus, or the like. The bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, Figure 3 Only one thick line is used to represent the bus in the figure, but it does not mean that there is only one bus or only one type of bus.

[0060] Figure 3 Another hardware structure of the traffic prediction device in the embodiments of the present application is shown. As shown in Figure 2 The traffic prediction device can include a processor 31 and a communication interface 32. The processor 31 is coupled to the communication interface 32.

[0061] The functions of the processor 31 can refer to the description of the processor 21 above. In addition, the processor 31 also has a storage function, which can function as the memory 22 described above.

[0062] The communication interface 32 is configured to provide data for the processor 31. The communication interface 32 can be an internal interface of the traffic prediction device, or an external interface of the traffic prediction device (equivalent to the communication interface 23).

[0063] It should be noted that Figure 3 The structure shown in Figure 2 does not constitute a limitation on the traffic prediction device. In addition to the components shown in Figure 3 (or Figure 1 ), the traffic prediction device can include more or fewer components than shown, or combine certain components, or different component arrangements.

[0064] The traffic prediction method provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0065] The traffic prediction method provided by the embodiments of the present application is applied to an electronic device 101 in the traffic prediction system as shown in Figure 4 , such as Figure 4As shown, the service volume prediction method provided by the embodiment of the present application comprises:

[0066] S401, the electronic device determines the number of target terminals.

[0067] The target terminal is a first terminal using a first service after a first preset time period.

[0068] Optionally, the embodiment of the present application is applied in a preset range, which can be a cell of a 4th Generation Mobile Communication Technology (4G) base station, or multiple cells of the 4G base station, and the embodiment of the present application does not limit this.

[0069] Optionally, the first terminal can be all 5G terminals in the preset range, or 5G terminals staying in the preset range for more than a threshold. The first service can be a 5G service.

[0070] Specifically, since the embodiment of the present application is applied in a cell of a 4G base station, after the deployment of a 5G network, 5G terminals in the cell of the 4G base station can realize 5G services through the 5G network. Since the first service can be a 5G service, and the first terminal can be a 5G terminal, the electronic device can determine the number of 5G terminals (i.e., the target terminal in the present application) converted to use 5G services after a future time period (i.e., the first preset time period in the present application) through the number of terminals (i.e., the second terminal in the present application) with a high price (i.e., the terminal price is greater than a first preset price) in a historical time period (i.e., the second preset time period in the present application).

[0071] S402, the electronic device determines a target network rate.

[0072] The target network rate is an average network rate of the first service after the first preset time period.

[0073] Specifically, since the number of target terminals can be multiple, and the types of the first service can also be multiple, the target network rate can be an average network rate of the first service used by the target terminal after the first preset time period. In this case, the electronic device can determine the network rate of the 5G service (i.e., the target network rate in the present application) after the future time period through the service volume of the 4G service used by the terminal (i.e., the fourth terminal in the present application) with a high price and a high package price (i.e., the package price is greater than a second preset price) in the historical time period.

[0074] S403, the electronic device determines a target service duration.

[0075] The target service duration is the service duration during which the target terminal uses the first service after the first preset time period.

[0076] Specifically, after determining the number of target terminals and the target network speed, the electronic device can also determine the target service duration, so that the electronic device can predict the amount of traffic used by the target terminals for the first service based on the number of target terminals, the target network speed, and the target service duration. In this case, the electronic device can determine the service duration of 5G terminals using 5G services in the future (i.e., the first service duration in this application) by using the service duration of 4G services by terminals with higher terminal prices and higher package prices in a historical period.

[0077] S404. Electronic devices predict the amount of traffic used by the target terminals for the first service based on the number of target terminals, the target network speed, and the target service duration.

[0078] Specifically, to determine the planning strategy for the 5G network provided by the 5G base station, the electronic device can determine the traffic volume of the target terminal using the first service based on the number of target terminals, the target network speed, and the target service duration. Then, the electronic device can determine the 5G network planning strategy based on the traffic volume of the target terminal using the first service.

[0079] In some embodiments, combined with Figure 5 ,like Figure 5 As shown, in S401 above, the electronic device determines the number of target terminals specifically including:

[0080] S501, The electronic device predicts the number of third terminals based on the number of second terminals.

[0081] The second terminal is defined as a terminal whose price is higher than the first preset price within the second preset time period. The third terminal is a terminal whose price is higher than the first preset price after the first preset time period. The second preset time period is before the first preset time period.

[0082] Optionally, the first preset price is the lowest price of the first terminal after the first preset time period.

[0083] Optionally, since the average replacement cycle of the terminal is 3 to 5 years, the first preset time period can be 3 to 5 years.

[0084] Specifically, since terminals within the preset range are more likely to be replaced after the first preset time period, the number of third terminals will also change. To determine the number of third terminals, the electronic device can obtain the number of second terminals. Then, the electronic device can predict the number of third terminals based on the number of second terminals.

[0085] Optionally, the electronic device can predict the number of the third terminals according to the number of the second terminals by a prediction algorithm. That is, the electronic device can take the number of the second terminals as an input of the prediction algorithm, and then take a value output by the prediction algorithm as the number of the third terminals.

[0086] It should be noted that, since the second preset time period is before the first preset time period, and the second preset time period is a time period before the deployment of the 5G network, the electronic device can obtain the number of the second terminals through the base station.

[0087] Optionally, the terminals can be all 4G terminals or 5G terminals in the preset range, or can be 4G terminals or 5G terminals that stay in the preset range for more than a threshold value, and the embodiments of the present application do not limit this.

[0088] Optionally, the number of the second terminals can be an average number of terminals whose prices are greater than a first preset price in the second preset time period.

[0089] Optionally, in order to determine the accuracy of the number of the third terminals, the first preset time period can be equal to the second preset time period.

[0090] Optionally, the prediction algorithm can be a machine learning algorithm (such as a linear regression function), or can be a non-machine learning algorithm, and the embodiments of the present application do not limit this.

[0091] Optionally, the base station can determine the terminal model through the International Mobile Equipment Identity (IMEI) of the terminal, and then determine the terminal price according to the terminal model.

[0092] For example, assuming that the third terminal is a terminal whose price is greater than A yuan (i.e., the first preset price in the present application) after x months (i.e., the first preset time period in the present application), then N ue is determined as the number of the third terminals. N uen is the number of terminals whose prices are greater than A yuan in the first month before the deployment of the 5G network, N ue1

[0093] N ue2 , …, N uen . Wherein, N ue is the number of terminals whose prices are greater than A yuan in the first month before the deployment of the 5G network, N ue1 is the number of terminals whose prices are greater than A yuan in the second month before the deployment of the 5G network, N ue2 is the number of terminals whose prices are greater than A yuan in the third month before the deployment of the 5G network, and N uen ​is referred to as the number of terminals whose price is greater than A yuan in the n th month before the deployment of the 5G network.

[0094] S502, the electronic device obtains the shipment rate of the first terminal in the third terminal.

[0095] Specifically, since the number of the first terminal in the third terminal will change after the first preset time period, in order to determine the number of the first terminal in the third terminal, the electronic device can obtain the shipment rate of the first terminal in the third terminal from the device storing terminal related data.

[0096] Optionally, the shipment rate of the first terminal in the third terminal can be the ratio of the shipment quantity of the first terminal in the third terminal to the shipment quantity of the third terminal.

[0097] It should be noted that the third terminal includes 5G terminals whose price is greater than the first preset price after the first preset time period and 4G terminals whose price is greater than the first preset price after the first preset time period.

[0098] S503, the electronic device determines the product of the shipment rate and the number of the third terminal as the number of the first terminal after the first preset time period.

[0099] Specifically, since the shipment rate is the shipment rate of the first terminal in the third terminal, the electronic device can determine the number of the first terminal in the third terminal, i.e. the number of the first terminal in the terminal whose price is greater than the first preset price after the first preset time period, according to the shipment rate and the number of the third terminal. And since the first preset price is the lowest price of the first terminal, the electronic device can determine the number of the first terminal in the third terminal as the number of the first terminal after the first preset time period.

[0100] S504, the electronic device determines the ratio of the number of the fourth terminal to the number of the second terminal as the first ratio.

[0101] Wherein, the fourth terminal is a terminal in the second terminal whose package price is greater than the second preset price.

[0102] Optionally, the second preset price is the lowest price of the 5G package after the first preset time period.

[0103] Specifically, in order to determine the ratio of the terminal whose package price is greater than the second preset price in the second terminal, the electronic device can determine the ratio of the number of the fourth terminal to the number of the second terminal as the first ratio, so that the electronic device can determine the second ratio according to the first ratio.

[0104] S505, the electronic device predicts the second ratio according to the first ratio.

[0105] The second ratio is a ratio of the number of the fifth terminals to the number of the third terminals. The fifth terminals are terminals of the third terminals whose package prices are greater than the second preset price.

[0106] Specifically, since the fifth terminals are terminals of the third terminals whose package prices are greater than the second preset price, and the second preset price is the minimum price of the 5G package, the number of the terminals of the third terminals whose package prices are greater than the second preset price changes. In this way, the electronic device can predict the second ratio, i.e., a ratio of the terminals of the first terminals whose package prices are greater than the second preset price, according to the first ratio.

[0107] Optionally, the electronic device can predict the second ratio according to the first ratio by using a prediction algorithm. That is, the electronic device can take the first ratio as an input of the prediction algorithm, and then take a value output by the prediction algorithm as the third ratio.

[0108] Optionally, the package price can be a monthly package fee of the terminal.

[0109] For example, assuming that Rapru is a ratio of the terminals of the first terminals whose package prices are greater than the second preset price (i.e., the second ratio in the present application), the electronic device can determine Rapru by using a function f2(Rapru1, Rapru2,..., Rapru n (i.e., the prediction algorithm in the present application), where Rapru1 is a ratio of the terminals of the terminals whose prices are greater than A yuan in the first month before the deployment of the 5G network and whose package prices are greater than B yuan (i.e., the second preset price in the present application), Rapru2 is a ratio of the terminals of the terminals whose prices are greater than A yuan in the second month before the deployment of the 5G network and whose package prices are greater than B yuan, and Rapru n is the number of the terminals whose prices are greater than A yuan in the nth month before the deployment of the 5G network.

[0110] S506, the electronic device determines a product of the number of the first terminals after the first preset time period and the second ratio as the number of the target terminals.

[0111] Specifically, since the second ratio is a ratio of the terminals of the third terminals whose package prices are greater than the second preset price, the electronic device can determine a ratio of the terminals of the first terminals whose package prices are greater than the second preset price after the first preset time period as the second ratio. In this case, the electronic device can determine the number of the 5G terminals that have opened the 5G package, i.e., the number of the first terminals that use the first service, by multiplying the number of the first terminals after the first preset time period and the second ratio.

[0112] It should be noted that since 5G terminals can only use 5G services after activating a 5G plan, electronic devices can determine the second ratio through the first ratio, or, when a 5G terminal can use 5G services without activating a 5G plan, the electronic device will set the second ratio to 1.

[0113] In some embodiments, combined with Figure 6 ,like Figure 6 As shown, in S402 above, the electronic device determines the target network rate specifically by:

[0114] S601. The electronic device predicts the traffic volume of the target type of service used by the fifth terminal based on the traffic volume of the target type of service used by the fourth terminal.

[0115] Specifically, electronic devices can obtain the traffic volume of the target type of service used by the fourth terminal through the base station. Then, based on the traffic volume of the target type of service used by the fourth terminal, electronic devices can predict the traffic volume of the target type of service used by the fifth terminal.

[0116] Optionally, the electronic device can predict the traffic volume of the target type of service used by the fifth terminal based on the traffic volume of the target type of service used by the fourth terminal using a prediction algorithm. That is, the electronic device can use the traffic volume of the target type of service used by the fourth terminal as the input of the prediction algorithm, and then use the output value of the prediction algorithm as the traffic volume of the target type of service used by the fifth terminal.

[0117] For example, assuming Si represents the traffic volume of the target type service used by the fifth terminal, the electronic device can take the traffic volume of the target type service used by the fourth terminal as input, that is, the electronic device can use the function f3(Si1, Si2, ..., Si) n (i.e., the prediction algorithm in this application) determines Si, which is the traffic volume of the target type service used by the fifth terminal. Wherein, Si1 refers to the traffic volume of the target type service used by the fourth terminal in the first month before the deployment of the 5G network, Si2 refers to the traffic volume of the target type service used by the fourth terminal in the second month before the deployment of the 5G network, and Si... n This refers to the volume of target-type services used by the fourth terminal within the nth month prior to the deployment of 5G networks.

[0118] S602. The electronic device determines the third ratio as the ratio of the service volume of the target type of service used by the fifth terminal to the service volume of all types of services used by the fifth terminal.

[0119] Specifically, after determining the traffic of the target type service used by the fifth terminal, the electronic device can add the traffic of the target type service used by the fifth terminal, so as to determine the traffic of all type services used by the fifth terminal. Then, the electronic device can determine the ratio of the traffic of the target type service used by the fifth terminal to the traffic of all type services used by the fifth terminal as the third ratio.

[0120] Different target type services correspond to different third ratios.

[0121] It should be noted that the third ratio is the ratio of the traffic of the target type service used by the fifth terminal to the traffic of all type services used by the fifth terminal, and the fifth terminal is a terminal whose package price is greater than the second preset price in the third terminal after the first preset time period after the deployment of the 5G network. Since the ratio of the traffic of the various services before the deployment of the 5G network and the ratio of the traffic of the various services after the deployment of the 5G network change little, the electronic device can determine the third ratio as the ratio of the traffic of the service after the deployment of the 5G network.

[0122] S603, the electronic device determines a target network rate according to the network rate corresponding to the target type service and the third ratio.

[0123] Optionally, the network rate corresponding to the target type service is the network rate corresponding to the target type service in the first service after the first preset time period (i.e., after the first preset time period after the deployment of the 5G network).

[0124] Specifically, since different target type services correspond to different network rates and different target type services correspond to different third ratios, the electronic device can determine the product of the network rate corresponding to the target type service and the third ratio corresponding to the target type service. Then, the electronic device can determine the sum of the products of the network rates and the third ratios corresponding to the multiple target type services as the target network rate (which can also be referred to as the user perception guarantee rate), i.e., the weighted average rate of all type services.

[0125] Optionally, the network rate corresponding to the target type service is a preset network rate.

[0126] It should be noted that the operation and maintenance personnel can determine the expected performance of the 5G network before the deployment of the 5G network, and therefore, the operation and maintenance personnel can preset different network rates according to the expected performance of the 5G network. When the expected deployed 5G network is a high-performance 5G network, the preset network rate corresponding to the target type service is higher. In this case, the target network rates of different expected 5G networks are different.

[0127] Optionally, after deploying a 5G network, the proportion of different service types within the target service category may change compared to before 5G network deployment. For example, before 5G network deployment, low-quality video services constituted the vast majority, while after 5G network deployment, high-quality video services constituted the vast majority. Therefore, the proportion of high-quality video services within the video service category would increase after 5G network deployment. In this case, electronic devices can obtain the proportion of different service types within the target service category through testing, thereby correcting the preset network rate corresponding to the target service category. The product of the proportion of different service types within the target service category and the preset network rate corresponding to the target service category is determined as the corrected preset network rate corresponding to the target service category. Subsequently, electronic devices can determine the network rate corresponding to the target service category based on the proportion of different service types within the target service category and the corrected preset network rate corresponding to the target service category.

[0128] The testing method is as follows: a 5G network with the first planning strategy is deployed within a preset range. Then, electronic devices can obtain the proportion of different types of services in the target type of services within the preset range and the fifth preset time period through the base station.

[0129] Using the example above, assuming Pi is the network rate corresponding to the i-th type of service, and Ri is the ratio of the i-th type of service to all types of services after x months, and since Si is the service volume of the target type of service used by the fifth terminal, the electronic device can determine the service volume S of all types of services as ∑Si. Next, the electronic device can determine Ri as Si / S. Subsequently, the electronic device can determine the target network rate P of the first service as ∑(Ri×Pi).

[0130] In some embodiments, combined with Figure 7 ,like Figure 7 As shown, in the above S403, the electronic device determines the target service duration specifically including:

[0131] S701. The electronic device predicts the duration of the second service based on the duration of the first service.

[0132] The first service duration is the service duration of the fourth terminal using the second service. The second service duration is the service duration of the fifth terminal using the first service.

[0133] Optionally, the fourth service could be a 4G service.

[0134] Optionally, the service duration can be the service duration of the terminal transmitting services during busy hours, the average duration of services transmitted within a month, or the average service duration of services transmitted within a month. This application embodiment does not limit this.

[0135] Specifically, since the fourth terminal is one of the terminals whose prices are greater than the first preset price and whose package prices are greater than the second preset price among the terminals whose prices are greater than the first preset price within the second preset time period before the deployment of the 5G network, the electronic device can obtain the service duration of the fourth terminal using the second service through the base station. Then, the electronic device can predict the second service duration according to the first service duration.

[0136] Optionally, the electronic device can predict the second service duration according to the first service duration through a prediction algorithm. That is, the electronic device can take the first service duration as the input of the prediction algorithm, and then take the value output by the prediction algorithm as the second service duration.

[0137] For example, assuming that Ti is the service duration of the fifth terminal using the first service, the electronic device can take the service duration of the fourth terminal using the second service as the input, that is, the electronic device can determine Ti, that is, the service duration of the fifth terminal using the first service, through the function f4(Ti1, Ti2, …, Ti n ), that is, the prediction algorithm in the present application. Wherein, Ti1 refers to the service duration of the fourth terminal using the 4G service within the first month before the deployment of the 5G network, Ti2 refers to the service duration of the fourth terminal using the 4G service within the second month before the deployment of the 5G network, and Ti n n refers to the service duration of the fourth terminal using the 4G service within the n-th month before the deployment of the 5G network.

[0138] S702, the electronic device determines the ratio of the third service duration and the fourth service duration as the fourth ratio.

[0139] Wherein, the third service duration is the service duration of the first terminal using the second service within the third preset time period. The fourth service duration is the service duration of the first terminal using the first service within the fourth preset time period after using the first planning strategy. The fourth preset time period is after the third preset time period.

[0140] Specifically, after the deployment of the 5G network, the service duration of the terminal using the service will change, therefore, the electronic device can obtain the service duration of the first terminal using the second service within the third preset time period before the deployment of the 5G network through the base station. Then, after the deployment of the 5G network using the first planning strategy, the electronic device can obtain the service duration of the first terminal using the first service within the fourth preset time period through the base station. Subsequently, the electronic device can determine the ratio of the third service duration and the fourth service duration as the fourth ratio, that is, the fourth ratio can be used to represent the change of the service duration of the 5G terminal using the service after the deployment of the 5G network.

[0141] Optionally, the third preset time period and the fourth preset time period are less than the first preset time period, and the third preset time period and the fourth preset time period are less than the second preset time period.

[0142] S703, the electronic device determines a product of the second service duration and the fourth ratio as the target service duration.

[0143] Specifically, since the fourth ratio is the change of the service duration of the first terminal using the service after the 5G network is deployed using the first planning strategy, the electronic device can determine the product of the second service duration and the fourth ratio as the service duration of the target terminal using the first service, i.e., the target service duration.

[0144] In some embodiments, in combination with Figure 8 As Figure 9 The service volume prediction method provided by the embodiments of the present application further includes:

[0145] S801, when the service volume of the target terminal using the first service is less than or equal to the service volume threshold corresponding to the first planning strategy, the electronic device determines the first planning strategy as the target planning strategy.

[0146] Specifically, when the service volume of the target terminal using the first service is less than or equal to the service volume threshold corresponding to the first planning strategy, the electronic device can determine that the 5G network deployed using the first planning strategy meets the service volume of the target terminal using the first service. Therefore, the electronic device can determine the first planning strategy as the target planning strategy, so that the operation and maintenance personnel can deploy the 5G network according to the first planning strategy.

[0147] Optionally, the planning strategy can be a planning bandwidth, frequency band, channel, etc. of the 5G network.

[0148] Optionally, since the service duration can be the service duration of the terminal transmitting the service when it is busy, the service volume of the target terminal using the first service can be the busy-time service volume of the target terminal using the first service. In this case, the service volume threshold corresponding to the first planning strategy can be a threshold of the maximum service volume that the 5G network can carry after using the first planning strategy.

[0149] It should be noted that since the performance of the 5G network expected by the operation and maintenance personnel is different, the network rate corresponding to the preset target class service is different, the network rate corresponding to the corrected preset target class service is different, and the target network rate is different. In this case, the service volume of the target terminal using the first service determined by the electronic device is also different.

[0150] S802, when the service volume of the target terminal using the first service is greater than the service volume threshold corresponding to the first planning strategy, the electronic device outputs a prompt information.

[0151] The prompt information is used to prompt to change the first planning strategy to the second planning strategy.

[0152] Specifically, when the service amount of the target terminal using the first service is greater than the service amount threshold corresponding to the first planning strategy, the electronic device can determine that the 5G network deployed using the first planning strategy cannot meet the service amount of the target terminal using the first service. Therefore, the electronic device can output a prompt information to make the operation and maintenance personnel change the first planning strategy to the second planning strategy, and continue to predict the service amount of the target terminal using the first service on the 5G network deployed by the second planning strategy.

[0153] The above mainly introduces the scheme provided by the embodiments of the present application from the perspective of method. In order to realize the above functions, it contains the hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed in the present application, the present application can be realized in the form of hardware or combination of hardware and computer software. Whether a certain function is executed in the form of hardware or computer software driven hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0154] The embodiments of the present application can divide the functional modules of the service amount prediction device according to the above method examples. For example, each functional module can be divided according to each function, or two or more functions can be integrated in one processing module. The above integrated module can be realized in the form of hardware or software functional module. Optionally, the division of modules in the embodiments of the present application is illustrative, and is only a logical functional division. Actual implementation can have another division manner.

[0155] As shown in Figure 4 - Figure 8 , it is a structure schematic diagram of a service amount prediction device provided by the embodiments of the present application. The service amount prediction device can be used to execute the method of service amount prediction shown in any one of Figure 9 . Figure 4 The service amount prediction device shown in the figure includes a determination unit 901 and a prediction unit 902.

[0156] The determination unit 901 is used to determine the number of target terminals. The target terminal is the first terminal using the first service after the first preset time period. For example, in combination with Figure 4 , the determination unit 901 is used to execute S401.

[0157] The determination unit 901 is also used to determine the target network rate. The target network rate is the average network rate of the first service after the first preset time period. For example, in combination with Figure 4 , the determination unit 901 is used to execute S402.

[0158] The determining unit 901 is further configured to determine a target service duration; the target service duration is a service duration of the target terminal using the first service after the first preset time period. For example, in combination with Figure 4 The determining unit 901 is configured to perform S403.

[0159] The predicting unit 902 is configured to predict a service volume of the target terminal using the first service according to the number of target terminals, the target network rate and the target service duration. For example, in combination with Figure 5 The predicting unit 902 is configured to perform S404.

[0160] Optionally, the determining unit 901 is specifically configured to:

[0161] predict a number of third terminals according to a number of second terminals; the second terminal is a terminal whose price is greater than a first preset price in a second preset time period; the third terminal is a terminal whose price is greater than the first preset price after a first preset time period; and the second preset time period is before the first preset time period. For example, in combination with Figure 5 The determining unit 901 is configured to perform S501.

[0162] obtain a shipment rate of the first terminal in the third terminal. For example, in combination with Figure 5 The determining unit 901 is configured to perform S502.

[0163] determine a product of the shipment rate and the number of third terminals as the number of first terminals after the first preset time period. For example, in combination with Figure 5 The determining unit 901 is configured to perform S503.

[0164] determine a first ratio as a ratio of a number of fourth terminals to the number of second terminals; the fourth terminal is a terminal whose package price is greater than a second preset price in the second terminal. For example, in combination with Figure 5 The determining unit 901 is configured to perform S504.

[0165] predict a second ratio according to the first ratio; the second ratio is a ratio of a number of fifth terminals to the number of third terminals; the fifth terminal is a terminal whose package price is greater than the second preset price in the third terminal. For example, in combination with Figure 5 The determining unit 901 is configured to perform S505.

[0166] determine a product of the number of first terminals after the first preset time period and the second ratio as the number of target terminals. For example, in combination with Figure 6 The determining unit 901 is configured to perform S506.

[0167] Optionally, the determining unit 901 is specifically configured to:

[0168] The traffic volume of the target type service used by the fifth terminal is predicted according to the traffic volume of the target type service used by the fourth terminal. For example, in combination with Figure 6 The determining unit 901 is configured to perform S601.

[0169] The ratio of the traffic volume of the target type service used by the fifth terminal to the traffic volume of all type services used by the fifth terminal is determined as a third ratio. For example, in combination with Figure 6 The determining unit 901 is configured to perform S602.

[0170] The target network rate is determined according to the network rate corresponding to the target type service and the third ratio. For example, in combination with Figure 7 The determining unit 901 is configured to perform S603.

[0171] Optionally, the determining unit 901 is specifically configured to:

[0172] The second service duration is predicted according to the first service duration; the first service duration is the service duration of the second service used by the fourth terminal; and the second service duration is the service duration of the first service used by the fifth terminal. For example, in combination with Figure 7 The determining unit 901 is configured to perform S701.

[0173] The third service duration is the service duration of the second service used by the first terminal in a third preset time period; the fourth service duration is the service duration of the first service used by the first terminal in a fourth preset time period after the first terminal uses the first planning strategy; and the fourth preset time period is after the third preset time period. For example, in combination with Figure 7 The determining unit 901 is configured to perform S702.

[0174] The target service duration is determined as the product of the second service duration and the fourth ratio. For example, in combination with Figure 8 The determining unit 901 is configured to perform S703.

[0175] Optionally, the apparatus further includes an output unit 903.

[0176] The determining unit 901 is further configured to determine the first planning strategy as the target planning strategy when the traffic volume of the first service used by the target terminal is less than or equal to the traffic volume threshold corresponding to the first planning strategy. For example, in combination with Figure 8 The determining unit 901 is configured to perform S801.

[0177] The output unit 903 is configured to output prompt information when the traffic volume of the first service used by the target terminal is greater than the traffic volume threshold corresponding to the first planning strategy; and the prompt information is used to prompt to change the first planning strategy to a second planning strategy. For example, in combination with ​ The output unit 903 is configured to perform S802.

[0178] The embodiment of the present application further provides a computer readable storage medium, which comprises computer execution instructions, and when the computer execution instructions run on a computer, the computer executes the service volume prediction method provided by the above embodiment.

[0179] The embodiment of the present application further provides a computer program, which can be directly loaded into a memory and contains software codes, and the computer program can realize the service volume prediction method provided by the above embodiment after being loaded and executed by a computer.

[0180] Those skilled in the art can understand that the functions described in the above one or more examples can be realized by hardware, software, firmware or any combination thereof. When realized by software, the functions can be stored in a computer readable medium or transmitted as one or more instructions or codes on a computer readable medium. The computer readable medium includes a computer readable storage medium and a communication medium, wherein the communication medium includes any medium that facilitates the transmission of computer programs from one place to another. The storage medium can be any available medium that can be accessed by a general or special purpose computer.

[0181] Through the above description of the embodiments, those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is taken as an example, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above.

[0182] In several embodiments provided by the present application, it should be understood that the disclosed device and method can be implemented by other means. For example, the device embodiments described above are only illustrative, for example, the division of the modules or units is only a logical function division, and actual implementation can have another division manner. For example, a plurality of units or components can be combined or integrated into another device, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or components shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms. The units described as separate components can be or can not be physically separated, and the components shown as units can be one physical unit or a plurality of physical units, that is, can be located in one place, or can be distributed to a plurality of different places. According to actual needs, some or all of the units can be selected to achieve the purpose of the embodiment.

[0183] In addition, each of the functional units in the embodiments of the present application can be integrated in one processing unit, or each unit can exist alone physically, or two or more units can be integrated in one unit. The integrated unit can be implemented in the form of hardware or software function units. When the integrated unit is implemented in the form of software function units and sold or used as an independent product, it can be stored in a readable storage medium. Based on such an understanding, the technical solutions of the embodiments of the present application essentially, or the part that contributes to the prior art, or all or a part of the technical solutions can be embodied in the form of a software product. The software product is stored in a storage medium, including a number of instructions to make a device (which can be a single chip, chip, etc.) or a processor execute all or a part of the steps of the methods described in the embodiments of the present application. The foregoing storage medium includes: U disk, mobile hard disk, ROM, RAM, magnetic disk or optical disk, and various other storage media that can store program codes.

[0184] The above describes only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A business volume forecasting method, characterized in that, include: The number of target terminals is determined; the target terminals are the first terminals that use the first service after a first preset time period; the first terminals are 5G terminals with a dwell time greater than a threshold within a preset range. Determine the target network rate; the target network rate is the average network rate of the first service after the first preset time period. Determine the target service duration; the target service duration is the service duration during which the target terminal uses the first service after the first preset time period. Predict the amount of traffic the target terminals use for the first service based on the number of target terminals, the target network speed, and the target service duration; The determination of the number of target terminals includes: The number of third terminals is predicted based on the number of second terminals; the second terminal is the terminal whose price is greater than the first preset price within the second preset time period; the third terminal is the terminal whose price is greater than the first preset price after the first preset time period; the second preset time period is before the first preset time period; Obtain the shipment rate of the first terminal among the third terminals; The product of the shipment rate and the number of the third terminal is determined as the number of the first terminal after the first preset time period; The ratio of the number of fourth terminals to the number of second terminals is determined as the first ratio; the fourth terminal is the terminal among the second terminals whose package price is greater than the second preset price; The second ratio is predicted based on the first ratio; the second ratio is the ratio of the number of fifth terminals to the number of third terminals; the fifth terminal is the terminal among the third terminals whose package price is greater than the second preset price; the second preset price is the lowest price of the first service package; The number of target terminals is determined by multiplying the number of the first terminals after the first preset time period by the second ratio.

2. The business volume forecasting method according to claim 1, characterized in that, Determining the target network rate includes: Based on the traffic volume of the target type of service used by the fourth terminal, predict the traffic volume of the target type of service used by the fifth terminal; The ratio of the service volume of the target type of service used by the fifth terminal to the service volume of all types of services used by the fifth terminal is determined as the third ratio. The target network rate is determined based on the network rate corresponding to the target type of service and the third ratio.

3. The business volume forecasting method according to claim 2, characterized in that, Determining the target service duration includes: The second service duration is predicted based on the first service duration; the first service duration is the service duration during which the fourth terminal uses the second service; the second service duration is the service duration during which the fifth terminal uses the first service. The ratio of the third service duration to the fourth service duration is determined as the fourth ratio; the third service duration is the service duration of the first terminal using the second service within the third preset time period; the fourth service duration is the service duration of the first terminal using the first service within the fourth preset time period after using the first planning strategy; the fourth preset time period is after the third preset time period; The product of the second service duration and the fourth ratio is determined as the target service duration.

4. The business volume forecasting method according to any one of claims 1-3, characterized in that, Also includes: When the traffic volume of the target terminal using the first service is less than or equal to the traffic volume threshold corresponding to the first planning strategy, the first planning strategy is determined as the target planning strategy. When the traffic volume of the target terminal using the first service exceeds the traffic volume threshold corresponding to the first planning strategy, a prompt message is output. The prompt message is used to suggest changing the first planning strategy to the second planning strategy.

5. A business volume forecasting device, characterized in that, include: Determining unit and predicting unit; The determining unit is used to determine the number of target terminals; the target terminals are the first terminals that use the first service after a first preset time period; the first terminals are 5G terminals whose dwell time is greater than a threshold within a preset range. The determining unit is further configured to determine the target network rate; the target network rate is the average network rate of the first service after the first preset time period; The determining unit is further configured to determine the target service duration; the target service duration is the duration during which the target terminal uses the first service after the first preset time period; The prediction unit is configured to predict the amount of traffic used by the target terminal for the first service based on the number of target terminals, the target network rate, and the target service duration. The determining unit is specifically used for: The number of third terminals is predicted based on the number of second terminals; the second terminal is the terminal whose price is greater than the first preset price within the second preset time period; the third terminal is the terminal whose price is greater than the first preset price after the first preset time period. The second preset time period is before the first preset time period; Obtain the shipment rate of the first terminal among the third terminals; The product of the shipment rate and the number of the third terminal is determined as the number of the first terminal after the first preset time period; The ratio of the number of fourth terminals to the number of second terminals is determined as the first ratio; the fourth terminal is the terminal among the second terminals whose package price is greater than the second preset price; The second ratio is predicted based on the first ratio; the second ratio is the ratio of the number of fifth terminals to the number of third terminals; the fifth terminal is the terminal among the third terminals whose package price is greater than the second preset price. The second preset price is the lowest price of the first service package; The number of target terminals is determined by multiplying the number of the first terminals after the first preset time period by the second ratio.

6. The traffic volume prediction device according to claim 5, characterized in that, The determining unit is specifically used for: Based on the traffic volume of the target type of service used by the fourth terminal, predict the traffic volume of the target type of service used by the fifth terminal; The ratio of the service volume of the target type of service used by the fifth terminal to the service volume of all types of services used by the fifth terminal is determined as the third ratio. The target network rate is determined based on the network rate corresponding to the target type of service and the third ratio.

7. The business volume forecasting device according to claim 6, characterized in that, The determining unit is specifically used for: The second service duration is predicted based on the first service duration; the first service duration is the service duration during which the fourth terminal uses the second service; the second service duration is the service duration during which the fifth terminal uses the first service. The ratio of the third service duration to the fourth service duration is determined as the fourth ratio; the third service duration is the service duration of the first terminal using the second service within the third preset time period; the fourth service duration is the service duration of the first terminal using the first service within the fourth preset time period after using the first planning strategy; the fourth preset time period is after the third preset time period; The product of the second service duration and the fourth ratio is determined as the target service duration.

8. The traffic volume forecasting device according to any one of claims 5-7, characterized in that, Also includes: Output unit; The determining unit is further configured to determine the first planning strategy as the target planning strategy when the traffic volume of the target terminal using the first service is less than or equal to the traffic volume threshold corresponding to the first planning strategy. The output unit is used to output a prompt message when the traffic volume of the target terminal using the first service is greater than the traffic volume threshold corresponding to the first planning strategy. The prompt message is used to suggest changing the first planning strategy to the second planning strategy.

9. A business volume forecasting device, characterized in that, It includes a memory and a processor; the memory is used to store computer execution instructions, and the processor is connected to the memory via a bus; when the traffic forecasting device is running, the processor executes the computer execution instructions stored in the memory to cause the traffic forecasting device to perform the traffic forecasting method as described in any one of claims 1-4.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes computer-executable instructions that, when executed on a computer, cause the computer to perform the traffic forecasting method as described in any one of claims 1-4.

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