CN114727247A - Multi-dimension charging device and method for communication network - Google Patents
Multi-dimension charging device and method for communication network Download PDFInfo
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- CN114727247A CN114727247A CN202011528389.9A CN202011528389A CN114727247A CN 114727247 A CN114727247 A CN 114727247A CN 202011528389 A CN202011528389 A CN 202011528389A CN 114727247 A CN114727247 A CN 114727247A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/24—Accounting or billing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
- H04L12/1403—Architecture for metering, charging or billing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
- H04L12/1453—Methods or systems for payment or settlement of the charges for data transmission involving significant interaction with the data transmission network
Abstract
The invention discloses a multi-dimension charging device and method for communication network, the device includes: the multi-dimension model building module is used for obtaining service data of each service scene, determining dimension specifications corresponding to each service scene, building a dimension specification library, configuring dimension attributes and dimension prices corresponding to the dimension specifications, and configuring dimension calculation rules to obtain a multi-dimension model; the product management module is used for acquiring and storing each product information and managing dimension information corresponding to each product information; and the charging module is used for acquiring a call ticket of the user and ordered product information, and rating the call ticket according to the charging rule of the ordered product information to generate a rating result. The invention charges the communication network through various charging modes based on the multi-dimension model, thereby meeting the charging requirements of various attributes and solving the technical problem of single charge structure in the prior art.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a multi-dimensional charging device and method for a communication network.
Background
In the current field of communication network service support, traditional voice, traffic, private line services are supported by a relatively single product tariff structure, usually one product corresponds to one tariff. However, with the deployment of the 5G core network and the generalization of the application access requirements of the 5G, such a traditional tariff structure does not support specification and attribute management under a product, and cannot support calculation of charges according to service attributes, and the product directly associates with the tariff without considering the relationship between the product, dimension, specification, attribute and tariff, so that the problem of inaccurate charging result may occur, and the requirement of dynamic charging cannot be met.
Disclosure of Invention
In view of the above, the present invention has been made to provide a multi-dimensional charging apparatus and method for a communication network that overcomes or at least partially solves the above problems.
According to an aspect of the present invention, there is provided a multi-dimensional charging apparatus for a communication network, comprising:
the multi-dimension model building module is used for obtaining the service data of each service scene, analyzing the service data, determining the dimension specification corresponding to each service scene, building a dimension specification library, configuring the dimension attribute and the dimension price corresponding to the dimension specification, and configuring the dimension calculation rule to obtain a multi-dimension model;
the product management module is used for acquiring and storing each product information, managing the dimension specification, the dimension attribute and the dimension price corresponding to each product information, and adding the dimension calculation rule to the charging rule of each product information;
the charging module is used for acquiring a call ticket of a user and ordered product information, determining a dimension specification, a dimension attribute and a dimension price corresponding to the ordered product information, and rating the call ticket according to a charging rule of the ordered product information to generate a rating result.
According to another aspect of the present invention, there is provided a multi-dimensional charging method for a communication network, comprising:
acquiring service data of each service scene, analyzing the service data, determining a dimension specification corresponding to each service scene, constructing a dimension specification library, configuring dimension attributes and dimension prices corresponding to the dimension specification, and configuring dimension calculation rules to obtain a multi-dimension model;
obtaining and storing each product information, managing dimension specification, dimension attribute and dimension price corresponding to each product information, and adding a dimension calculation rule to a charging rule of each product information;
the method comprises the steps of obtaining a call ticket of a user and ordered product information, determining a dimension specification, a dimension attribute and a dimension price corresponding to the ordered product information, and rating the call ticket according to a charging rule of the ordered product information to generate a rating result.
According to yet another aspect of the present invention, there is provided a computing device comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the multi-dimensional charging method for the communication network.
According to yet another aspect of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the above-mentioned multi-dimensional charging method for a communication network.
The method comprises the steps of constructing a dimension specification library through a multi-dimension model construction module, and configuring a multi-dimension model; adapting the corresponding dimension specification, dimension attribute and dimension price for each product information through a product management module; then, the billing module carries out pricing on the call ticket to generate a pricing result; therefore, the communication network is charged through various charging modes based on the multi-dimension model, so that the charging requirements of various attributes of the communication network can be met, and the technical problem of single charge structure in the prior art is solved.
The above description is only an overview of the technical solutions of the present invention, and the present invention can be implemented in accordance with the content of the description so as to make the technical means of the present invention more clearly understood, and the above and other objects, features, and advantages of the present invention will be more clearly understood.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic structural diagram of a multi-dimensional charging apparatus for a communication network according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a multi-dimensional product conceptual model managed by the product management module of the present invention;
FIG. 3 shows a schematic diagram of the charging module and accounting processing module interaction of the present invention;
FIG. 4 is a schematic diagram illustrating the operation of the product ordering module of the present invention;
fig. 5 is a flowchart illustrating an embodiment of a multi-dimensional charging method for a communication network according to an embodiment of the present invention;
fig. 6 shows a schematic structural diagram of a computing device provided by an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The dimension is derived from the concept of physics, and refers to the basic properties of physical quantities, such as the length of time (seconds, minutes, hours), the size of mass (g, kg) or the speed (km/h, m/s) of speed, and the like, which are dimensions reflecting the measurement of specific physical quantities and physical phenomena. On the basis, the invention defines the concept of communication network dimension, and the multi-dimension system consists of four parts of dimension specification, dimension attribute, dimension price and calculation rule.
Fig. 1 is a schematic structural diagram of an embodiment of a multi-dimensional charging apparatus for a communication network according to the present invention. As shown in fig. 1, the apparatus includes: a multi-dimensional model building module 110, a product management module 120, a billing module 130, a product ordering module 140, and an accounting processing module 150.
The multi-dimension model building module 110 is configured to obtain service data of each service scene, analyze the service data, determine a dimension specification corresponding to each service scene, build a dimension specification library, configure dimension attributes and dimension prices corresponding to the dimension specifications, and configure a dimension calculation rule to obtain a multi-dimension model.
In an optional manner, each service scenario includes: a network connection scenario, a quality of service experience scenario, a slicing service scenario, an edge computation scenario, and a generic scenario.
Specifically, the multidimensional model building module 110 obtains service data of each service scene, determines a dimensional specification corresponding to each service scene according to different service scene characteristics, and builds a dimensional specification library; wherein, by analyzing the service data of each service scene, the dimension specification corresponding to each service scene is determined as follows 1-5:
1. the dimension specification corresponding to the network connection scenario may include: traffic, duration, times, roaming, content, cell, etc.
2. The Quality of Service (QoS) experience scenario may correspond to a dimensional specification, which may include: rate, delay, period, role, location, etc.
3. The dimension specification corresponding to the slicing service scene may include: usage area, downlink rate, uplink rate, number of connections, mobility mode, isolation level, type of connected UE (user equipment), slicing delay, user density, service priority, capability openness level, scalability strategy, height, etc.
4. The dimension specification corresponding to the Edge Computing (MEC) scene may include: computation power, storage size, data forwarding amount, traffic, GET/HEAD (find/point resource descriptor) request times in Http protocol, other request times, and the like.
5. The dimension specifications corresponding to a common scenario for the ecological industry may include: number of subscriptions, number of supported users, number of implementers, number of hosted applications, etc.
Further, configuring dimension attributes and dimension prices corresponding to each dimension specification according to the dimension specification library; the dimension attributes refer to corresponding differentiation characteristics of each type of dimension specification, for example, in the 5G communication network access process, uplink/downlink rates of different levels can be defined; the dimension price includes price, measurement unit and price period. Taking the dimension specification of the edge calculation scene as an example, table 1 is a dimension attribute and a dimension price corresponding to each dimension specification of the edge calculation scene, as shown in table 1, each dimension specification includes: computing power, storing, data forwarding amount, flow, GET/HEAD request times and the like; the dimension attributes corresponding to the force dimension calculation specification can include 1C (core), 2C, 4C, 8C and the like, and the corresponding dimension price can be 20 yuan/core/month; the dimension attributes corresponding to the stored dimension specification can include 500G, 1T, 2T and the like, and the corresponding dimension price can be 15 yuan/G/month; dimension attributes corresponding to the data forwarding dimension specification can comprise 500M, 1GB, 2GB and the like, and the corresponding dimension price can be 1 yuan/M/month; the dimension attributes corresponding to the flow dimension specification can include 1M, 5M, 10M, 100M and the like, and the corresponding dimension price can be 1 yuan/M/month; the dimensional attributes corresponding to the GET/HEAD request time dimension specification may include 500 times, 1000 times, 5000 times, 10000 times and the like, and the corresponding dimension price may be 0.01 yuan/time/month.
| Dimension specification | Dimension attributes | Dimension price |
| Computing power | 1C、2C、4C、8C | 20 yuan/kernel/month |
| Storing | 500G、1T、2T | 15 Yuan/G/month |
| Data forwarding volume | 500M、1GB、2GB | 1 Yuan/M/month |
| Flow rate | 1M、5M、10M、100M | 1 Yuan/M/month |
| GET/HEAD request count | 500 times and 1000 times5000 times and 10000 times | 0.01 yuan/time/month |
Table 1, dimension attributes and dimension prices corresponding to each dimension specification of edge calculation scenario
In an alternative, the dimension calculation rule includes: predefined rules, superposition rules, and bargaining rules.
In order to enable the communication network to support multi-dimension service charging, three multi-dimension calculation rules of a predefined rule, an overlapping rule and a bargaining rule can be added in the traditional calculation rule; specifically, the stacking rule is a linear calculation rule defining weighted stacking of the respective dimension prices, thereby calculating the final price of the product. Referring to the dimension attributes and dimension prices corresponding to each dimension specification corresponding to the edge calculation scenario in table 1, taking a set of edge calculation products as an example, the calculation formula of the total cost is as follows (1):
the method comprises the steps that the total cost is ∑ computation force corresponding dimension price ×, the dimension attribute value corresponding to the computation force + the corresponding dimension price is stored ×, the corresponding dimension attribute value + the corresponding dimension price of the data forwarding amount ×, the dimension attribute value corresponding to the data forwarding amount + the corresponding dimension price of the flow + the dimension attribute value corresponding to the flow + the corresponding dimension price of the GET/HEAD request number [ ] GET/HEAD attribute value; (1)
the predefined rule refers to various preset combination rules of a plurality of dimension specifications, and dimension prices corresponding to the combination rules are associated, so that the final price of the product is calculated. Taking the edge computing product as an example, 500 times of computation force 1C/storage 500G/data forwarding 500M/traffic 1M/GET/HEAD requests can be defined as a group of combination rules and priced for 100 yuan/month.
The bargaining rule refers to that in the bargaining scenario, the product is not used to calculate the price, but the instantiated price transmitted by the product acceptance module 150 is directly used, specifically, the bargaining rule may be an upper limit value and a lower limit value of the base price.
The product management module 120 is configured to obtain and store each product information, manage the dimension specification, the dimension attribute, and the dimension price corresponding to each product information, and add the dimension calculation rule to the charging rule of each product information.
Fig. 2 is a conceptual model diagram of a multi-dimensional product managed by a product management module, and as shown in fig. 2, the product management module 120 is configured to obtain and store information of each product, manage dimension specifications, dimension attributes, and dimension prices corresponding to the information of each product, and add dimension calculation rules to charging rules of information of each product, so as to support the charging module 130 to adapt corresponding dimension specifications, dimension attributes, and dimension prices to the information of each product; wherein the product information further comprises service information: a service definition table, a service number, a service name, and the like; the dimension specification comprises specification definition, specification number, specification name, dimension attribute set corresponding to the dimension specification and the like; the dimension attributes comprise attribute definitions, attribute sets, attribute values and the like. The product information is associated with the product tariff relationship and the free resource calculation rule; the invention can add predefined rule number in free resource calculation rule.
FIG. 2 further illustrates the expansion of the definition associated with multiple dimensions to support the charging of a multi-dimension system based on the existing product tariff model; the dimension specification and the dimension attribute are defined by expanding on the basis of the original structure based on the conventional product service model; the dimension price table comprises dimension numbers, dimension names, specification numbers, rate numbers and the like, the original tariff pricing system is associated through the rate numbers, and the newly defined dimension specifications are merged into the calculation cost model of the original tariff pricing system; in addition, the charging calculation rule model comprises a tariff package number, a subject number and a rate number, and calculation rule types are newly added, namely a predefined rule, a superposition rule and a bargaining rule;
similarly, the accounting calculation rule model also adds new calculation rule types, namely a predefined rule, a superposition rule and a bargaining rule; predefined rule numbers, arithmetic expression numbers and the like are added in the charging calculation rules, the fixed fee calculation rules and the preferential calculation rules, wherein the predefined rule numbers are used for matching tariff packets corresponding to the predefined rules, and the arithmetic expression numbers are associated with expression definition tables in the original tariff pricing system; the free resource calculation rule comprises a product number, a free resource subject number and a resource amount, and a predefined rule number is added. The method is used for associating free resource definitions in the original tariff pricing system. The dimension calculation rule records a predefined rule table, a superposition rule table and a bargaining rule table; the predefined rule table comprises predefined scene numbers, dimension numbers, comparison types, comparison values and the like; the superposition rule table comprises a tariff package number, a dimension number, an arithmetic expression number and the like, wherein the arithmetic expression number can be associated to an expression definition table in the original tariff pricing; the bargaining rule table comprises a tariff package number, a dimension number, an upper limit interval, a lower limit interval and the like.
The charging module 130 is configured to obtain a ticket of the user and ordered product information, determine a dimension specification, a dimension attribute, and a dimension price corresponding to the ordered product information, and perform pricing on the dialog ticket according to a charging rule of the ordered product information to generate a pricing result.
In an alternative manner, the charging module 130 is further configured to: analyzing ordered product information and determining a service scene corresponding to the ordered product information; and loading the multi-dimension model, and determining the dimension specification, the dimension attribute and the dimension price corresponding to the ordered product information according to the service scene.
In an optional manner, the apparatus further comprises: and the accounting processing module 140 is configured to analyze ordered product information, determine a tariff calculation model, load the tariff calculation model to process the rating result, and generate a bill.
Fig. 3 is an interaction diagram of a charging module and an accounting processing module, as shown in fig. 3, a service analysis submodule is added to the charging module 130 for dimensional analysis and processing, analyzing ordered product information, introducing a multi-dimensional fee calculation mode (multi-dimensional combination mode, mixed mode and bargaining mode), expanding a charging tariff rule analysis engine, adding a multi-dimensional charging rule analysis and fee calculation function, analyzing dimensional calculation rules corresponding to the multi-dimensional combination mode, mixed mode and bargaining mode, enhancing the charging fee calculation engine, constructing a multi-dimensional charging capability, expanding a charging background capability, adding a product pricing inquiry service, providing a dynamic price calculation capability to a foreground, reducing a foreground acceptance complexity, expanding a free resource analysis rule, and expanding free resources of different total amounts according to different dimensional combination rules. Furthermore, by expanding a subject accumulated table of a charging Memory Database (MDB) and adding a multi-dimension rule number field, the charging MDB can store the subject accumulated record under the multi-dimension charging. Specifically, the charging module 130 analyzes the ordered product information by acquiring the call ticket of the user and the ordered product information, and determines the service scenario corresponding to the ordered product information; and loading the multi-dimension model through a charging container, determining the dimension specification, dimension attribute and dimension price corresponding to the ordered product information according to a service scene, carrying out service analysis on a call bill obtained by a charging gateway by a service analysis submodule, obtaining the charging rule of the ordered product information through dimension analysis and processing, further carrying out multi-dimension charging rule analysis and fee calculation on the bill to a rating submodule to generate a rating result, and storing the rating result in a charging MDB (management data base).
In the accounting processing module 140, a dimension analysis and processing function and product specification acquisition (for example, products in the scenes such as an edge calculation scene, a private network scene, a slice service scene, and the like), analysis and processing capabilities are added to the data analysis submodule, and specification analysis and processing are supported; the solid fee calculation submodule is newly added with 5G product solid fee multi-dimensional rule analysis matching capability, supports multi-dimensional solid fee models such as edge networks, industry private networks, network slices and the like, matches the financial solid fee according to the product and the multi-dimensional rules and performs solid fee calculation; the preferential cost calculation sub-module is additionally provided with 5G product preferential multi-dimensional rule analysis matching capability, supports multi-dimensional specification preferential cost models such as edge networks, industry private networks, network slices and the like, matches preferential cost according to the product and multi-dimensional calculation rules and performs preferential calculation; updating the bill submodule to modify a bill updating interface and supporting a newly added multi-dimension rule numbering field; the accounting MDB submodule is used for storing a fixed fee log table and a preferential log table, wherein the fixed fee log table and the preferential log table are provided with a multi-dimension rule number field; the accounting container is used for loading an accounting calculation rule model (a fixed fee calculation rule and a preferential calculation rule) and caching the bill.
In an optional manner, the apparatus further comprises: and a product ordering module 150, configured to configure ordered product information for the user in response to a product ordering request sent by the user.
Fig. 4 is a schematic diagram illustrating a working process of the product ordering module of the present invention, and as shown in fig. 4, the module realizes centralized acceptance and capability opening of 5G private network business channels, and supports a change of dimension specification under product service. The one-stop business full-channel acceptance capability can be constructed through multi-channel acceptance, such as a customer business comprehensive operation platform, a government enterprise mall, a customer terminal or a 5G mall; meanwhile, dimension specifications and product inquiry can be selected when business acceptance is carried out; and after the determination, the printing protocol and the client signature/acceptance submission are carried out, so that the modularization and the capability convergence of the 5G private network service capability are realized, and the flexible calling of an external platform is supported. In addition, the product ordering module can also change the product dimension specification.
By adopting the device of the embodiment, a dimension specification library is constructed through a multi-dimension model construction module, and a multi-dimension model is configured; adapting the corresponding dimension specification, dimension attribute and dimension price for each product information through a product management module; then, the billing module is used for carrying out pricing on the dialogue list to generate a pricing result; the device charges the 5G network through various charging modes based on the multi-dimension model, thereby meeting the charging requirements of various attributes of the communication network, solving the technical problem of single charge structure of the prior art, simultaneously realizing the support of various charging modes based on the multi-dimension system and the expansion of the prior charge pricing model, being adaptive to the 5G special network multi-dimension product, realizing the upgrade of the multi-dimension and the multi-mode, solving the problem that the product quantity is sharply increased along with the increase of the dimension and the dimension specification under the prior model, avoiding the product change required to be changed due to the service change, reducing the complexity of foreground acceptance change and having strong practicability and expansibility.
Fig. 5 shows a flowchart of an embodiment of a multi-dimensional charging method for a communication network according to the present invention, as shown in fig. 5, the method comprises the following steps:
step S510: the method comprises the steps of obtaining service data of each service scene, analyzing the service data, determining dimension specifications corresponding to each service scene, constructing a dimension specification library, configuring dimension attributes and dimension prices corresponding to the dimension specifications, configuring dimension calculation rules, and obtaining a multi-dimension model.
In an optional manner, each service scenario includes: a network connection scenario, a quality of service experience scenario, a slicing service scenario, an edge computation scenario, and a generic scenario.
In an alternative, the dimension calculation rule includes: predefined rules, superposition rules, and bargaining rules.
Step S520: and obtaining and storing the information of each product, managing the dimension specification, the dimension attribute and the dimension price corresponding to the information of each product, and adding the dimension calculation rule to the charging rule of the information of each product.
Step S530: the method comprises the steps of obtaining a call ticket of a user and ordered product information, determining a dimension specification, a dimension attribute and a dimension price corresponding to the ordered product information, rating the call ticket according to a charging rule of the ordered product information, and generating a rating result.
In an optional manner, step S530 further includes: analyzing ordered product information and determining a service scene corresponding to the ordered product information; and loading the multi-dimension model, and determining the dimension specification, the dimension attribute and the dimension price corresponding to the ordered product information according to the service scene.
In an optional manner, the method may further include step S540: analyzing ordered product information, determining a charge calculation model, loading the charge calculation model to process the rating result, and generating a bill.
In an optional manner, the method may further include step S550: and configuring ordered product information for the user in response to a product ordering request sent by the user.
By adopting the method of the embodiment, a multi-dimension model is configured by constructing a dimension specification library; adapting corresponding dimension specifications, dimension attributes and dimension prices for each product information; then, carrying out pricing on the call ticket to generate a pricing result; therefore, the 5G network is charged through various charging modes based on the multi-dimension model and the dimension calculation rules, the charging requirements of various attributes of the communication network can be met, the technical problem of single charge structure in the prior art is solved, meanwhile, the support of various charging modes is realized based on the multi-dimension system and the expansion of the existing charge pricing model, the 5G special network multi-dimension product can be adapted, the multi-dimension and multi-mode upgrading is realized, the problem that the product quantity is increased sharply along with the increase of the dimension and the dimension specification under the original model is solved, the product is prevented from being changed due to service change, the complexity of foreground acceptance change is reduced, and the method has strong practicability and expansibility.
An embodiment of the present invention provides a non-volatile computer storage medium, where the computer storage medium stores at least one executable instruction, and the computer executable instruction may execute a multi-dimensional charging method for a communication network in any of the above method embodiments.
The executable instructions may be specifically configured to cause the processor to:
acquiring service data of each service scene, analyzing the service data, determining dimension specifications corresponding to each service scene, constructing a dimension specification library, configuring dimension attributes and dimension prices corresponding to the dimension specifications, and configuring dimension calculation rules to obtain a multi-dimension model;
obtaining and storing each product information, managing dimension specification, dimension attribute and dimension price corresponding to each product information, and adding a dimension calculation rule to a charging rule of each product information;
the method comprises the steps of obtaining a call ticket of a user and ordered product information, determining a dimension specification, a dimension attribute and a dimension price corresponding to the ordered product information, rating the call ticket according to a charging rule of the ordered product information, and generating a rating result.
Fig. 6 is a schematic structural diagram of an embodiment of a computing device according to the present invention, and a specific embodiment of the present invention does not limit a specific implementation of the computing device.
As shown in fig. 6, the computing device may include:
a processor (processor), a Communications Interface (Communications Interface), a memory (memory), and a Communications bus.
Wherein: the processor, the communication interface, and the memory communicate with each other via a communication bus. A communication interface for communicating with network elements of other devices, such as clients or other servers. And the processor is used for executing the program, and particularly can execute the relevant steps in the embodiment of the multi-dimensional charging method for the communication network.
In particular, the program may include program code comprising computer operating instructions.
The processor may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention. The server includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And the memory is used for storing programs. The memory may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program may specifically be adapted to cause a processor to perform the following operations:
acquiring service data of each service scene, analyzing the service data, determining dimension specifications corresponding to each service scene, constructing a dimension specification library, configuring dimension attributes and dimension prices corresponding to the dimension specifications, and configuring dimension calculation rules to obtain a multi-dimension model;
obtaining and storing each product information, managing dimension specification, dimension attribute and dimension price corresponding to each product information, and adding a dimension calculation rule to a charging rule of each product information;
the method comprises the steps of obtaining a call ticket of a user and ordered product information, determining a dimension specification, a dimension attribute and a dimension price corresponding to the ordered product information, rating the call ticket according to a charging rule of the ordered product information, and generating a rating result.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: rather, the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the devices in an embodiment may be adaptively changed and arranged in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (10)
1. A multi-dimensional charging apparatus for a communication network, comprising:
the multi-dimension model building module is used for obtaining the service data of each service scene, analyzing the service data, determining the dimension specification corresponding to each service scene, building a dimension specification library, configuring the dimension attribute and the dimension price corresponding to the dimension specification, and configuring the dimension calculation rule to obtain a multi-dimension model;
the product management module is used for acquiring and storing each product information, managing the dimension specification, the dimension attribute and the dimension price corresponding to each product information, and adding the dimension calculation rule to the charging rule of each product information;
the charging module is used for acquiring a call ticket of a user and ordered product information, determining a dimension specification, a dimension attribute and a dimension price corresponding to the ordered product information, and rating the call ticket according to a charging rule of the ordered product information to generate a rating result.
2. The apparatus of claim 1, wherein the charging module is further configured to: analyzing the ordered product information, and determining a service scene corresponding to the ordered product information; and loading the multi-dimension model, and determining the dimension specification, the dimension attribute and the dimension price corresponding to the ordered product information according to the service scene.
3. The apparatus of claim 2, further comprising: and the product ordering module is used for responding to a product ordering request sent by the user and configuring ordered product information for the user.
4. The apparatus of claim 3, further comprising: and the accounting processing module is used for analyzing the ordered product information, determining a charge calculation model, loading the charge calculation model to process the rating result and generating a bill.
5. The apparatus according to any of claims 1-4, wherein each service scenario comprises: a network connection scenario, a quality of service experience scenario, a slicing service scenario, an edge computation scenario, and a generic scenario.
6. The apparatus of any one of claims 1-4, wherein the dimension calculation rule comprises: predefined rules, superposition rules, and bargaining rules.
7. A multi-dimensional charging method for a communication network, comprising:
acquiring service data of each service scene, analyzing the service data, determining a dimension specification corresponding to each service scene, constructing a dimension specification library, configuring dimension attributes and dimension prices corresponding to the dimension specification, and configuring dimension calculation rules to obtain a multi-dimension model;
obtaining and storing each product information, managing dimension specification, dimension attribute and dimension price corresponding to each product information, and adding a dimension calculation rule to a charging rule of each product information;
the method comprises the steps of obtaining a call ticket of a user and ordered product information, determining a dimension specification, a dimension attribute and a dimension price corresponding to the ordered product information, and rating the call ticket according to a charging rule of the ordered product information to generate a rating result.
8. The apparatus of claim 7, wherein the obtaining of the call ticket of the user and the ordered product information, determining the dimension specification, the dimension attribute, and the dimension price corresponding to the ordered product information, and rating the call ticket according to the charging rule of the ordered product information to generate a rating result further comprises:
analyzing the ordered product information, and determining a service scene corresponding to the ordered product information; and loading the multi-dimension model, and determining the dimension specification, the dimension attribute and the dimension price corresponding to the ordered product information according to the service scene.
9. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;
the memory is configured to store at least one executable instruction, which causes the processor to perform operations corresponding to a method for multi-dimensional charging for a communication network according to any one of claims 7 to 8.
10. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to a method of multi-dimensional charging for a communications network according to any one of claims 7 to 8.
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