CN112637793B - Scene charging method, system, electronic equipment and storage medium based on 5G - Google Patents
Scene charging method, system, electronic equipment and storage medium based on 5G Download PDFInfo
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- CN112637793B CN112637793B CN202011377075.3A CN202011377075A CN112637793B CN 112637793 B CN112637793 B CN 112637793B CN 202011377075 A CN202011377075 A CN 202011377075A CN 112637793 B CN112637793 B CN 112637793B
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- 230000006870 function Effects 0.000 claims abstract description 10
- 238000004364 calculation method Methods 0.000 claims abstract description 6
- 238000005457 optimization Methods 0.000 claims abstract description 6
- 238000004590 computer program Methods 0.000 claims description 6
- 238000009825 accumulation Methods 0.000 claims description 4
- 238000007781 pre-processing Methods 0.000 claims description 4
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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
- H04W4/12—Messaging; Mailboxes; Announcements
- H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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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
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/04—Large scale networks; Deep hierarchical networks
- H04W84/08—Trunked mobile radio systems
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Abstract
The invention discloses a scene charging method, a scene charging system, electronic equipment and a storage medium based on 5G, wherein the scene charging method comprises the following steps: dividing the charging application of a single program into a plurality of independent functional components according to functions; adding component labels, starting quantity and an arrangement rule model as arrangement configuration items; training a scene routing model; intelligently recognizing a scene routing identifier based on the trained scene routing model; before charging the call ticket, the access layer application calls a scene service to obtain a route identifier and carries out charging process scene routing; the charging application arranges the flow of the components in advance according to the scene identification; performing corresponding charging calculation and detail sheet output according to different scene services; and processing the cluster result of charging of each scene in real time, outputting data such as resources and the like, and providing AI training part data as a basis for triggering the dynamic adjustment and optimization of the cluster scale and the application quantity in the cluster.
Description
Technical Field
The invention relates to the technical field of charging, in particular to a scene charging method and system based on 5G, electronic equipment and a storage medium.
Background
The traditional telecommunication charging products are all in a single dimensional scene, and each service has only one unified charging process; the 5G service is subject to a charging mode with multiple dimensions and multiple scenes, namely, different service processing rules and different charging flows are divided according to different measurement dimensions.
1. Along with the development of 5G services, diversified charging modes such as multiple dimensions, edge calculation, slicing and the like are generated, and each operator does not explore a proper corresponding scheme for the charging support of the 5G products;
2. the existing service charging method has uniform flow, difficult charging mode expansion, no elasticity in application deployment and delay in response and support of new services;
3. the existing service charging method has low efficiency, can not efficiently ensure the online processing efficiency, and can keep the online processing rate at a low level, thereby causing the failure of timely charging and arrearage risk control of user information and influencing income guarantee.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a scene charging method, a scene charging system, electronic equipment and a storage medium based on 5G.
The invention discloses a scene charging method based on 5G, which comprises the following steps:
step 1, dividing the charging application of a single program into a plurality of independent functional components according to functions;
step 2, adding component labels, starting quantity and an arrangement rule model as configuration items for arrangement;
step 3, training a scene routing model;
step 4, intelligently recognizing a scene routing identifier based on the trained scene routing model;
step 5, before charging the call ticket, the access layer application calls a scene service to obtain a route identifier and performs charging process scene routing;
step 6, the charging application arranges the flow of the components in advance according to the scene identification;
step 7, performing corresponding charging calculation and detail list output according to different scene services;
and 8, processing the cluster result of the charging of each scene in real time, outputting data such as resources and the like, and providing AI training part data as a basis for triggering the dynamic adjustment and optimization of the cluster scale and the application quantity in the cluster.
As a further improvement of the invention, the functional components comprise a plurality of call ticket reading component, a call ticket preprocessing component, a charging field analyzing component, an office data loading component, a user data acquiring component, a charging type identifying component, a charging condition judging component, a user shackle processing component, a rating component, a resource deducting component, a resource accumulating component, a user unlocking processing component, a log output component and a detail list output component.
As a further improvement of the invention, each functional component is independently constructed around a specific function, and the constructed functional components can be called.
As a further improvement of the present invention, the step 3 comprises:
and a scene routing model is newly added, and in the initial stage, a part of services are manually configured with scene routing identification for training.
The invention also discloses a scene charging system based on 5G, which is used for realizing the scene charging method and comprises the following steps:
the component generation module is used for dividing the charging application of a single program into a plurality of independent functional components according to functions;
the configuration module is used for adding component tags, starting quantity and an arrangement rule model as the arrangement configuration items;
the training module is used for training a scene routing model;
the first recognition module is used for intelligently recognizing the scene routing identification based on the trained scene routing model;
the second identification module is used for acquiring a route identifier and performing charging process scene routing by calling a scene service by the access layer application before charging the call ticket;
the arrangement module is used for arranging the flow of the components in advance according to the scene identifiers by the charging application;
the computing module is used for carrying out corresponding charging computation and detail sheet output according to different scene services;
and the statistical module is used for processing the cluster result of the charging of each scene in real time, outputting data such as resources and the like, and providing AI training part data as a basis for triggering the dynamic adjustment and optimization of the cluster scale and the application quantity in the cluster.
The invention also discloses an electronic device, which comprises at least one processing unit and at least one storage unit, wherein the storage unit stores a computer program, and when the program is executed by the processing unit, the processing unit executes the scene charging method.
The invention also discloses a storage medium which stores a computer program executable by the electronic equipment, and when the program runs on the electronic equipment, the electronic equipment is enabled to execute the scene charging method.
Compared with the prior art, the invention has the beneficial effects that:
1. the user: customer experience promotes, and the warning is more timely, and customer perception promotes.
2. The operator: scenes such as Internet of things/industry short messages and the like are processed by adopting a more convenient flow, so that computing resources are saved, and preparation is made for charging support of 5G vertical industry; the charging processing efficiency is improved: the charging information is processed asynchronously in a specific scene, the charging process is not locked any more, and the charging processing efficiency is improved because the number of times of information transmission is reduced.
3. The developer: a single program is divided into small independent components, new services or code modification only need to modify corresponding components according to service scenes, and integral modification is not needed, so that code modification efficiency is improved, bug rate is reduced, and requirements on developers are correspondingly reduced.
Drawings
Fig. 1 is a flowchart of a scenario charging method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The invention is described in further detail below with reference to the attached drawing figures:
the 5G business mode develops to multiple scenes on the basis of inheriting 4G, and due to the diversification of business use and the diversification of metering standards, the charging system adopts a data and service double-line collaborative technology to provide multi-dimension, multi-dimension and multi-mode business support. Under the background, the invention provides a scene charging method and a scene charging system based on 5G, which meet the charging requirements in a multi-dimensional scene of 5G by introducing scene AI prediction identification, not only meet the differentiated service requirements and differentiated charging process brought by differentiated services, but also use deployment AI automatic optimization, support the quick and flexible expansion of a charging mode and the automatic and flexible tuning of cluster deployment; the invention can serve various industries, various users and various scenes, deal with service changes, improve the efficiency of the charging system and improve the user experience.
The invention provides a scene charging method and a scene charging system based on 5G, which divide the original charging application into small independent components from a single program, each component is independently constructed around a specific function, the components can be called, and scene arrangement is carried out according to the charging mode or service requirements; meanwhile, in the process of charging the call ticket, AI identification is carried out on the user label extracted from the big data before charging, and the users with the same charging mode and charging process are routed to the same charging processing scene cluster; the detailed list after the charge calculation of each processing cluster in the charging system is analyzed and trained in a timing and real-time mode, and the AI predicts the resource use condition of each processing cluster in each time period, so that the cluster scale and the application quantity in the clusters are dynamically adjusted and optimized.
Specifically, the method comprises the following steps:
as shown in fig. 1, the present invention provides a 5G-based scene charging method, including:
step 1, dividing the charging application of a single program into a plurality of independent functional components according to functions;
the method specifically comprises the following steps:
based on a component type development framework, dividing the charging application of the original single program into a plurality of independent functional components according to functions; wherein,
each component is independently constructed around specific functions (ticket reading, charging, identification, etc.), and the functional components include but are not limited to: 1. the system comprises a ticket reading component, a ticket preprocessing component, a charging field analyzing component, a local data loading component, a user data acquiring component, a charging type identifying component, a charging condition judging component, a user lock processing component, a rating component, a resource deduction component, a resource accumulation component, a user unlocking processing component, a log output component, a detail list output component, a data processing component, a user data processing component, a resource deduction component, a resource storage component, a user unlocking processing component, a log output component, a detail list output component, a data processing component, a resource reducing component;
the built functional components can be called for realizing the capability arrangement of component levels according to the charging mode or the service requirement;
for example, in a resource accumulation scene, a call ticket reading component, a call ticket preprocessing component, a rating component, a resource deduction component, a resource accumulation component and a processing user unlocking component are constructed, and the six components can be called for subsequent component level capability arrangement.
Step 2, adding component labels, starting quantity and an arrangement rule model as configuration items for arrangement;
the charging method comprises the following steps that a component tag is an id of a charging component, and a plurality of selected components are arranged into a rule, namely a charging process of a scene corresponds to a group of charging clusters;
step 3, training a scene routing model;
the method comprises the following specific steps:
a scene routing model is newly added, and the scene routing model is used for configuring specific routing information and user ticket matching selection according to conditions such as scene elements and the like; meanwhile, in the initial stage, training is carried out by manually configuring scene route identifiers for part of services.
Step 4, intelligently identifying scene routes based on the trained scene route model;
the method specifically comprises the following steps:
in the subsequent stage, AI identification is introduced, and intelligent scene routing identification is carried out by combining user labels (user detailed lists, user data and the like) extracted from big data based on a trained scene routing model with specific services, charging modes and the like; before charging, AI identification is carried out on the user label extracted from the big data, and the users with the same charging mode and charging process are routed to the same charging processing scene cluster;
step 5, before charging the call ticket, the access layer application calls a scene service to obtain a route identifier and carries out charging process scene routing;
before pricing, the charging ticket calls a charging prediction platform to match scene conditions to perform scene prediction identification;
step 6, the charging application arranges the flow of the components in advance according to the scene identification;
step 7, performing corresponding charging calculation and detailed list output according to different scene services;
step 8, processing the cluster result of charging of each scene in real time, outputting data such as resources and the like, and providing AI training part data as a basis for triggering cluster scale and dynamic adjustment and optimization of the application quantity in the cluster;
and periodically summarizing and analyzing the data amount processed by each scene, wherein the data amount is used as a basis for optimizing the cluster scale and the application quantity expansion in the cluster.
The invention also provides a scene charging system based on 5G, which comprises:
the component generation module is used for realizing the step 1;
a configuration module for implementing the step 2;
a training module for implementing the step 3;
a first identification module for implementing the step 4;
a second identification module for implementing the step 5;
the arranging module is used for realizing the step 6;
a calculating module for implementing the step 7;
and the statistic module is used for realizing the step 8.
The invention provides electronic equipment which comprises at least one processing unit and at least one storage unit, wherein the storage unit stores a computer program, and when the program is executed by the processing unit, the processing unit executes the scene charging method.
The present invention provides a storage medium storing a computer program executable by an electronic device, which, when the program is run on the electronic device, causes the electronic device to execute the above-described scenario-based charging method.
Example (b):
the charging program is modularized, and an arrangement template is configured through different component tags, so that various charging processes and processing clusters are provided; the components 1, 2, 9, 11 and 12 are organized into an unlimited tariff scene and a cluster 1 is deployed; configuring the scene routing information (the condition that a routing target cluster is a cluster 1 is that users with unlimited fees are ordered), calculating which users are unlimited fees by an AI through an algorithm model, marking telephone bills of the users, and then carrying out routing to the cluster 1 according to a routing identifier; the initial cluster 1 only has 10 processes of one cluster, changes with the number of users, and after one month, the system alarm suggestion is received and expanded into 20 processes of two clusters.
Compared with the prior art, the invention has the beneficial effects that:
1. the user: customer experience promotes, and the warning is more timely, and customer perception promotes.
2. The operator: scenes such as Internet of things/industry short messages and the like are processed by adopting a more convenient flow, so that computing resources are saved, and preparation is made for charging support of 5G vertical industry; the charging processing efficiency is improved: the charging information is processed asynchronously in a specific scene, the charging process is not locked any more, and the charging processing efficiency is improved because the number of times of information transmission is reduced.
3. The developer: a single program is divided into small independent components, and a new service or code change only needs to modify the corresponding components according to a service scene without integral modification, so that the code modification efficiency is improved, the bug rate is reduced, and the requirements on developers are correspondingly reduced.
Example (b):
the charging program is modularized, and an arrangement template is configured through different component tags, so that various charging processes and processing clusters are provided; the components 1, 2, 9, 11 and 12 are organized into an unlimited tariff scene, and a cluster 1 is deployed; configuring the scene routing information (the condition that a routing target cluster is a cluster 1 is that users with unlimited fees are ordered), calculating which users are unlimited fees by an AI through an algorithm model, marking telephone bills of the users, and then carrying out routing to the cluster 1 according to a routing identifier; the initial cluster 1 only has 10 processes in one cluster, and as the number of users changes, the system alarm suggestion received after one month is expanded into 20 processes in two clusters.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A scene charging method based on 5G is characterized by comprising the following steps:
step 1, dividing the charging application of a single program into a plurality of independent functional components according to functions; the functional components comprise a plurality of call ticket reading components, call ticket preprocessing components, charging field analysis components, office data loading components, user data acquisition components, charging type identification components, charging condition judgment components, user shackle processing components, rating components, resource deduction components, resource accumulation components, user unlocking processing components, log output components and detail list output components;
step 2, adding a label of each functional component, selecting the required functional component based on different charging scenes, arranging a plurality of components into a rule based on an arrangement rule model, and finally combining the arranged functional components to be used as a cluster of the charging scenes;
step 3, training a scene routing model based on the user routing information and the configured scene routing identification; based on the trained scene routing model, scene routing identifiers corresponding to different users can be intelligently identified, and the users are classified into corresponding clusters based on the scene routing identifiers;
step 4, before charging the call ticket, the access layer application calls the scene service to obtain the scene route identifier;
step 5, performing corresponding charging calculation and detail list output according to different charging scenes;
and 6, outputting the billing processing cluster results of each billing scene in real time and the resource use condition data of each processing cluster, and providing AI training data as a basis for triggering cluster scale and dynamic adjustment and optimization of the application quantity in the clusters.
2. The scenarized charging method according to claim 1, wherein each of the functional components is independently constructed around a specific function, and the constructed functional components are callable therebetween.
3. An electronic device, characterized in that it comprises at least one processing unit and at least one memory unit, wherein the memory unit stores a computer program that, when executed by the processing unit, causes the processing unit to execute the scenized billing method according to claim 1 or 2.
4. A storage medium storing a computer program executable by an electronic device, the program, when executed on the electronic device, causing the electronic device to perform the scenized billing method according to claim 1 or 2.
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