CN114710395A

CN114710395A - Construction method of network service implementation example based on digital twin technology

Info

Publication number: CN114710395A
Application number: CN202210345501.8A
Authority: CN
Inventors: 郭建超; 王达; 欧阳晔
Original assignee: Asiainfo Technologies China Inc
Current assignee: Asiainfo Technologies China Inc
Priority date: 2022-03-31
Filing date: 2022-03-31
Publication date: 2022-07-05
Anticipated expiration: 2042-03-31
Also published as: CN114710395B

Abstract

The embodiment of the application provides a construction method of an implementation example of a network service based on a digital twin technology, and relates to the technical field of digital twin. The method comprises the following steps: acquiring the requirement of a target network service, and generating a target practice strategy which corresponds to the requirement and is applied to the digital twin network; acquiring at least one pre-stored implemented implementation example, respectively determining the similarity between each practiced strategy and the target practical strategy, if the maximum value of the similarity in all the similarities meets a first preset condition, determining the practiced strategy corresponding to the maximum value of the similarity as a reference practical strategy, and determining the implemented implementation example where the reference practical strategy is located as a reference implementation example; and optimizing the reference implementation example to obtain a target implementation example corresponding to the target network service. According to the embodiment of the application, the target implementation example of the target network service is developed on the basis of the implemented implementation example, so that the difficulty of developing the target implementation example is greatly reduced.

Description

Construction method of network service implementation example based on digital twin technology

Technical Field

The application relates to the technical field of digital twinning, in particular to a construction method of an implementation example of a network service based on a digital twinning technology.

Background

The digital twin is a digital mapping system which fully utilizes data such as a physical model, sensor updating, operation history and the like, integrates a multidisciplinary, multi-physical quantity, multi-scale and multi-probability simulation process, and completes mapping in a virtual space so as to reflect the full life cycle process of corresponding entity equipment.

The digital twin network is a network system which digitally creates virtual twins of physical network entities and can be interactively mapped with the physical network entities in real time. The application of the current digital twin in various industries is still in an exploration stage, and the scene atomic capability generated by model construction and model combination configuration is usually constructed on the basis of real physical objects in equal proportion and personalized customized design and development.

The whole life cycle of the communication network service can be briefly summarized into planning, construction, operation and maintenance, optimization, network quitting and other stages, the objects of services in each stage are obviously different, the whole communication network service system is very large, and in the face of complicated service systems, if the service systems are developed and designed in a customized mode, the implementation example corresponding to each network service needs to be redesigned, the development workload is large, the transportability is poor, the expandability is insufficient, and the scene capacity, the resource utilization rate and the like constructed by the method cannot be well controlled.

Disclosure of Invention

The embodiment of the application provides a method and a device for constructing an implementation example of a network service based on a digital twin technology, electronic equipment, a computer readable storage medium and a computer program product, and can solve the problem that the way of customizing development related to communication network services is complex. The technical scheme is as follows:

according to a first aspect of the embodiments of the present application, there is provided a method for constructing an implementation example of a network service based on a digital twin technology, the method including:

acquiring the requirement of a target network service, and generating a target practice strategy which corresponds to the requirement and is applied to the digital twin network;

acquiring at least one implemented implementation example which is stored in advance, wherein the implemented implementation example is implemented in a physical network and corresponds to other network services, and the implemented implementation example comprises practical strategies and implementation information of the corresponding network services;

respectively determining the similarity between each practical strategy and the target practical strategy, if the maximum similarity value in all the similarities meets a first preset condition, determining the practical strategy corresponding to the maximum similarity value as a reference practical strategy, and determining the implemented implementation example of the reference practical strategy as a reference implementation example;

and optimizing the reference implementation example to obtain a target implementation example corresponding to the target network service.

In one possible implementation, generating a target practice strategy corresponding to the demand and applied to the digital twin network includes:

extracting key information in the demand; generating a target practice strategy which corresponds to a target network service requirement and is applied to the digital twin network based on preset knowledge analysis key information; knowledge includes algorithms translated by pre-set theorems, axioms, common sense, facts, or expert experience.

In one possible implementation, after determining the similarity between each practiced strategy and the target practical strategy respectively, the method includes:

if the maximum value of the similarity among all the similarities does not meet a first preset condition, at least one model instance or meta-model is obtained, wherein the model instance is a developed digital twin model corresponding to a physical entity; the meta-model is at least one basic model which is constructed by performing feature extraction on twin objects of the same category in the digital twin network and uniformly representing the twin objects by using data;

and calling at least one model instance or at least one meta-model for development and configuration to obtain a target implementation instance corresponding to the target network service.

In a possible implementation manner, after obtaining the target implementation instance corresponding to the target network service, the method further includes:

determining a probability that the target implementation instance is reused;

and if the probability meets a second preset condition, determining that the target implementation example is stored as the implemented implementation example.

In one possible implementation, the optimization of the reference implementation example includes:

and determining the difference between the reference practice strategy and the target practice strategy, and optimizing the reference implementation example according to the difference.

In one possible implementation, optimizing the reference implementation example according to the difference includes:

and determining at least one configuration parameter corresponding to at least one twin object corresponding to the difference, and modifying the at least one configuration parameter of each twin object to optimize the reference implementation example.

indicating that the target implementation instance is deployed in the physical network to which the digital twin network corresponds.

In one possible implementation, after instructing to deploy the target implementation instance in the physical network corresponding to the digital twin network, the method further includes:

in the operation process of the physical network, acquiring operation data reported by the physical network in real time through a preset target interface;

if the operating data are determined to be abnormal, calling knowledge to analyze abnormal data to obtain correction information, and correcting the target implementation example according to the correction information to obtain a corrected target implementation example;

indicating that the revised target implementation instance is to be deployed on the physical network.

In one possible implementation, instructing to deploy the modified target implementation instance after the physical network further includes:

acquiring fault information reported by a physical network in real time through a preset target interface, and calling preset knowledge and performance fault associated management information to generate a closed-loop solution corresponding to the fault information; the performance fault association management information is used for determining other fault information associated with the fault information.

According to a second aspect of the embodiments of the present application, there is provided an apparatus for constructing an implementation example of a network service based on a digital twin technology, the apparatus including:

the target practice strategy generation module is used for acquiring the requirement of the target network service and generating a target practice strategy which corresponds to the requirement of the target network service and is applied to the digital twin network;

the system comprises an implementation example acquisition module, a network service management module and a service management module, wherein the implementation example acquisition module is used for acquiring at least one implemented implementation example which is stored in advance, the implemented implementation example is implemented in a physical network and corresponds to other network services, and the implemented implementation example comprises practical strategies and implementation information of the corresponding network services;

the reference example determining module is used for respectively determining the similarity between each practiced strategy and the target practical strategy, if the maximum similarity value in all the similarities meets a first preset condition, determining the practiced strategy corresponding to the maximum similarity value as a reference practical strategy, and determining the implemented implementation example where the reference practical strategy is located as a reference implementation example;

and the target implementation example determining module is used for optimizing the reference implementation example to obtain a target implementation example corresponding to the target network service.

According to a third aspect of embodiments of the present application, there is provided an electronic device comprising a memory, a processor and a computer program stored on the memory, the processor implementing the steps of the method as provided in the first aspect when executing the program.

According to a fourth aspect of embodiments herein, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as provided by the first aspect.

According to a fifth aspect of embodiments herein, there is provided a computer program product comprising computer instructions stored in a computer-readable storage medium, which, when read by a processor of a computer device from the computer-readable storage medium, cause the processor to execute the computer instructions, so that the computer device performs the steps of implementing the method as provided in the first aspect.

The technical scheme provided by the embodiment of the application has the following beneficial effects: according to the embodiment of the application, a target practice strategy which corresponds to the requirement and is applied to the digital twin network is generated by acquiring the requirement of the target network service; acquiring at least one implemented implementation example which is stored in advance, wherein the implemented implementation example is implemented in a physical network and corresponds to other network services, and the implemented implementation example comprises practical strategies and implementation information of the corresponding network services; respectively determining the similarity between each practical strategy and the target practical strategy, and if the maximum value of the similarity in all the similarities meets a first preset condition, determining the implemented implementation example of the practical strategy corresponding to the maximum value of the similarity as a reference implementation example; and optimizing the reference implementation example to obtain a target implementation example corresponding to the target network service. According to the embodiment of the application, the reference implementation example is determined to optimize the reference implementation example according to the similarity between the target implementation strategy and the practical strategy, namely, the reference implementation example is developed for the second time to obtain the target embodiment corresponding to the target network service, and the difficulty of developing the target implementation example corresponding to the target network service is greatly reduced.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.

Fig. 1 is a system architecture diagram corresponding to a method for constructing an implementation example of a network service based on a digital twin technology according to an embodiment of the present application;

fig. 2 is a schematic flowchart of a method for constructing an example of a network service based on a digital twin technology according to an embodiment of the present application;

fig. 3 is an interaction schematic diagram of a method for constructing an implementation example of a network service based on a digital twin technology according to an embodiment of the present application;

fig. 4 is an application scenario diagram of a method for constructing an implementation example of a network service based on a digital twin technology according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of a construction device of an implementation example of a network service based on a digital twinning technology according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

Embodiments of the present application are described below in conjunction with the drawings in the present application. It should be understood that the embodiments set forth below in connection with the drawings are exemplary descriptions for explaining technical solutions of the embodiments of the present application, and do not limit the technical solutions of the embodiments of the present application.

As used herein, the singular forms "a", "an", "the" and "the" include plural referents unless the context clearly dictates otherwise. It should be further understood that the terms "comprises" and/or "comprising," when used in this specification in connection with embodiments of the present application, specify the presence of stated features, information, data, steps, operations, elements, and/or components, but do not preclude the presence or addition of other features, information, data, steps, operations, elements, components, and/or groups thereof, as embodied in the art. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein indicates at least one of the items defined by the term, e.g., "a and/or B" may be implemented as "a", or as "B", or as "a and B".

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The terms referred to in this application will first be introduced and explained:

a meta-model, a domain-specific model, building elements for creating models in the domain. A meta-model defines a specification that describes a model, which can be understood as an abstraction of a common class of things, specifically the elements that make up the model and the relationships between the elements.

The present application provides a method, an apparatus, an electronic device, a computer-readable storage medium, and a computer program product for constructing an implementation example of a network service, which are intended to solve the above technical problems in the prior art.

The technical solutions of the embodiments of the present application and the technical effects produced by the technical solutions of the present application will be described below through descriptions of several exemplary embodiments. It should be noted that the following embodiments may be referred to, referred to or combined with each other, and the description of the same terms, similar features, similar implementation steps and the like in different embodiments is not repeated.

Fig. 1 is a schematic diagram of a system architecture corresponding to a method for implementing an embodiment of a network service based on a digital twin technology according to an embodiment of the present application, where the system architecture includes a digital twin network 101, a target interface 102, and a physical network 103; the digital twin network 101 is a network system which is a virtual twin body that digitally creates a physical network entity and can be interactively mapped with the physical network entity in real time; the physical network 103 is a real physical network system, and the target interface 102 may be a model interface, which may enable data sharing between the digital twin network and the physical network, may obtain operation data reported by the physical network, and forward the operation data to the digital twin network 101.

The embodiment of the present application provides a method for constructing an implementation example of a network service based on a digital twin technology, as shown in fig. 2, the method includes:

step S201, obtaining the requirement of the target network service, and generating a target practice strategy which corresponds to the requirement and is applied to the digital twin network.

The target network service in the embodiment of the present application may be any type of service, including parameter information such as performance, capacity, coverage, signal strength, etc. of a network, such as network energy saving requirement and network signal coverage requirement.

The requirements of the target network service of the service party may be requirements in any form, such as structured requirements, semi-structured requirements or unstructured requirements, wherein the structured requirements are requirements described according to a specific format, for example, a parameter configuration form; the requirement of semi-structuring can be the requirement of table, picture and other descriptions; unstructured requirements are typically the content of natural language requirements.

No matter the structured requirement or the semi-structured requirement or the unstructured requirement, the key information in the requirement needs to be extracted, specifically, the key information in the requirement of the target network service can be extracted through preset knowledge analysis, and the key information is converted into the requirement data of the target format, so that the uniform data representation service requirement is realized, and the subsequent identification and processing are facilitated.

The target practice strategy is a target practice strategy corresponding to the target network service and applied to the digital twin network, and the practice strategy is a strategy which is generated from the perspective of resource evaluation and in consideration of actual environmental factors and contains at least one instruction and configuration parameters under the condition that resources are sufficient.

In practical application, knowledge analysis stored in the asset management function block can be called to form a target practice strategy which corresponds to the target network service requirement and is applied to the digital twin network.

Step S202, at least one implemented implementation example stored in advance is obtained, where the implemented implementation example is an implementation example implemented in a physical network and corresponding to other network services, and the implemented implementation example includes a practical policy and implementation information of the corresponding network service.

The asset library of the embodiment of the application stores at least one implemented implementation example, where the implemented implementation example is an implementation example implemented in a physical network and corresponding to other network services, and each implementation example includes software and hardware devices where the entire network service is deployed in the physical network and configurations of the software and hardware devices.

The implemented implementation example of the embodiment of the present application includes a practical policy and implementation information of the corresponding network service, where the practical policy represents a plan and a configuration of the corresponding network service in the overall direction, and the implementation information represents performance and parameter configurations that need to be provided by each piece of hardware and software equipment, for example, a base station required by the implemented network service a may provide an abbs bandwidth, and a base station bkm away from B is required.

Step S203, respectively determining similarity between each practiced strategy and the target practical strategy, and if a maximum value of the similarity among all the similarities meets a first preset condition, determining the practiced strategy corresponding to the maximum value of the similarity as a reference practical strategy, and determining an implemented implementation example where the reference practical strategy is located as a reference implementation example.

In the actual production process, each new hardware device is developed, and various factors are combined, so that the resource consumed by the development and generation of the hardware device involved in the network service is large, and therefore, for a new target network service, at least one practical strategy of an implemented implementation example stored in advance needs to be inquired.

After the practiced strategies are determined, the similarity between each practiced strategy and the target practical strategy is respectively determined, specifically, the similarity between each instruction and the configuration parameter can be compared, the similarity between the practiced strategies and the target practical strategy is further obtained, whether the maximum value of the similarity in all the similarities meets a first preset condition is judged, if the maximum value of the similarity meets the first preset condition, the practiced strategy corresponding to the maximum value of the similarity is determined to be the reference practical strategy, and the implemented implementation example where the reference practical strategy is located is determined to be the reference implementation example.

The implemented implementation example where the practiced policy corresponding to the maximum similarity value is determined to be a reference implementation example in the embodiments of the present application, that is, if it is determined that the maximum similarity value reaches the expected similarity value, the implemented implementation example where the practiced policy corresponding to the maximum similarity value is determined to be the reference implementation example which can be used as a reference implementation example of the target network service, and on the basis of the reference implementation example, a target implementation example corresponding to the target network service is developed.

And step S204, optimizing the reference implementation example to obtain a target implementation example corresponding to the target network service.

For each practical strategy, a corresponding implementation example needs to be developed, and the implementation example comprises software and hardware devices needing to be developed and parameter configuration of each software and hardware device in the detailed implementation process.

After the reference implementation example is determined, the reference implementation example is optimized, that is, the reference implementation example is developed for the second time, so that the target implementation example corresponding to the target network service is obtained.

According to the embodiment of the application, the reference implementation example is determined according to the similarity between the target implementation strategy and the practical strategy, the reference implementation example is optimized, namely, the reference implementation example is developed for the second time, the target implementation example corresponding to the target network service is obtained, and the difficulty of developing the target implementation example corresponding to the target network service is greatly reduced.

The embodiment of the application provides a possible implementation manner, and a target practice strategy which corresponds to requirements and is applied to a digital twin network is generated, wherein the method comprises the following steps:

extracting key information in the demand; generating a target practice strategy which corresponds to a target network service requirement and is applied to the digital twin network based on preset knowledge analysis key information; knowledge includes algorithms transformed by predetermined theorems, axioms, common sense, facts, or expert experience.

The requirement of the target network service in the embodiment of the present application may be a requirement in any form, such as a structured requirement, a semi-structured requirement, or an unstructured requirement, where the structured requirement is a requirement described according to a specific format, for example, a parameter configuration form; the requirement of semi-structuring can be the requirement of describing tables, pictures and the like; unstructured requirements are typically the content of natural language requirements.

After the requirement data in the target format is obtained, the knowledge preset by the knowledge management function block is called to generate a target practice strategy which corresponds to the requirement of the target network service and is applied to the digital twin network; knowledge includes algorithms transformed by predetermined theorems, axioms, common sense, facts, or expert experience.

The embodiment of the present application provides a possible implementation manner, and after determining the similarity between each practiced strategy and each target practical strategy, the implementation manner includes:

if the maximum value of the similarity among all the similarities does not meet a first preset condition, at least one model instance or meta-model is obtained, wherein the model instance is a developed digital twin model corresponding to a physical entity; the meta-model comprises at least one basic model which is constructed by extracting the characteristics of twin objects of the same class in the digital twin network and using unified data representation;

and developing and configuring at least one model instance or meta-model to obtain a target implementation instance corresponding to the target network service.

After determining the similarity between the practiced strategy and the target practical strategy, if the maximum similarity value in all the similarities does not accord with the expected similarity expected value, at least one model instance or meta-model is obtained.

The model example in the embodiment of the application is a digital twin model corresponding to a developed physical entity, and the model example has a corresponding physical entity and is a twin body corresponding to the physical entity in the communication network. Specifically, the model examples in the embodiments of the present application include an equipment model example, a scenario model example, and a network element model example, where the equipment model example is taken as an example, for example, a design visualization twin model developed based on the appearance size, function, performance, and the like of an existing base station, switch, router, and the like; the network element model example is the virtualization of network element functions; scene model instances refer to a sediment of excellent design cases corresponding to certain specific scenes.

The meta-model in the embodiment of the application is used for representing a basic model which is constructed by performing feature extraction, analysis mapping, unified representation and application of multi-physical-quantity integration on a certain type of entity in a communication network system, and compared with a model example, the meta-model does not develop a corresponding physical entity, and the meta-model may be an equipment basic model, a network element basic model, a scene basic model and other meta-models.

And if the maximum similarity value in all the similarities does not meet the expected similarity expected value, acquiring at least one model instance or meta-model, selectively using the model instance or meta-model according to the actual situation, and developing and configuring the at least one model instance or meta-model to obtain a target implementation instance corresponding to the target network service.

Specifically, when the maximum similarity value in all the similarities does not meet a first preset condition, at least one model instance may be preferentially obtained, whether the model instance can be applied to the target network service is determined, and if yes, the model instance is called, and the model instance is developed and configured to obtain a target implementation instance corresponding to the target network service.

And if all the model examples can not be applied to the target network service, calling at least one meta-model to develop and configure the at least one meta-model to obtain a target implementation example corresponding to the target network service.

According to the embodiment of the application, when the maximum similarity value in all the similarities does not meet the first preset condition, at least one model instance or meta-model is obtained, the at least one model instance or meta-model is developed and configured, the target implementation instance corresponding to the target network service is obtained, the links of research and development from zero can be avoided, the target implementation instance can be obtained by directly developing and configuring on the basis of the model instance or meta-model, and the development difficulty is reduced.

The embodiment of the present application provides a possible implementation manner, and after obtaining a target implementation example corresponding to a target network service, the implementation manner further includes:

determining a probability that the target practice strategy is reused;

According to the embodiment of the application, after the target implementation example is obtained, whether the target implementation example is stored or not needs to be further determined, if the target practice strategy is obtained after the reference implementation example is optimized, the target practice strategy obtained based on the reference implementation example does not need to be stored due to the fact that the similarity between the target implementation example and the reference implementation example is high, and the resource consumed by management of the implementation example is avoided being increased.

In addition, the difference in capabilities between the target implementation instance and the reference implementation instance may also be compared against the probability of future reuse of the target implementation instance or the reference policy to determine whether to store the target practice policy in place of the reference implementation instance.

In addition, the probability of the repeated use of the model instance in the embodiment of the application is mainly considered from the generalization angle of the hardware device, and in the stage of the requirement analysis, if it is determined that a certain hardware device has greater universality, it is determined that the probability of the repeated use of the model instance is higher, and if the probability of the repeated use of the model instance meets a second preset condition, it is determined that the model instance is stored.

In addition, if the target implementation example of the application is developed and configured according to the model example or the meta model, which indicates that there is a large difference between the target implementation example and the stored implementation example, the storage may be preliminarily determined, the probability of the repeated use of the target implementation example may be further determined, and if the probability of the repeated use of the target implementation example meets a second preset condition, the target implementation example is determined to be stored as the implemented implementation example.

The embodiment of the present application provides a possible implementation manner, and the optimization of the reference implementation example includes:

The embodiment of the application optimizes the reference implementation example, specifically can determine the difference between the reference practice strategy and the target practice strategy, and can optimize the reference implementation example according to the difference.

The embodiment of the present application provides a possible implementation manner, and the optimization of the reference implementation example according to the difference includes:

The embodiment of the application optimizes the reference implementation example according to the difference, namely, the corresponding at least one configuration parameter of at least one twin object corresponding to the difference is determined, and at least one configuration and configuration parameters of each twin object are modified to optimize the reference implementation example.

After the target implementation example corresponding to the target network service is obtained, the embodiment of the application is explained in the digital twin network, and the target implementation example can be executed without failure, and can indicate that the target implementation example is deployed in a physical network corresponding to the digital twin network, and the target implementation example is deployed in the physical network.

The embodiment of the present application provides a possible implementation manner, and after instructing to deploy a target implementation example in a physical network corresponding to a digital twin network, the implementation manner further includes:

after instructing to deploy the target implementation instance in the physical network corresponding to the digital twin network, the method further includes:

The whole process of deploying the target implementation example in the physical network comprises planning and construction processes, and in the actual construction process, because the process of deploying the target implementation example in the physical network is possibly limited, and peripheral buildings, vegetation, dangerous sources and the like and potential risks (for example, the potential explosion danger generated by a base station at an entry end near a combustible or combustion-supporting gas storage tank stored in a factory due to the use of high-frequency current) exist when network equipment operates, and the like, a small part of configuration or equipment requirements need to be finely adjusted, but the capacity of initially setting a target practice strategy cannot be changed.

Specifically, the embodiment of the application can acquire the running data reported by the physical network in real time through a preset target interface, the target interface is a model port, and the model port realizes data communication and data sharing between the digital twin network and the physical network.

According to the embodiment of the application, after the operation data reported by the physical network is collected, the operation data is verified, if the operation data is determined to be abnormal, the target implementation example needs to be corrected, the environment information of the physical network can be obtained, the target implementation example is corrected according to the environment information, the corrected target implementation example is obtained, the corrected target implementation example is reliable and can be deployed in the physical network, and after the corrected target implementation example is obtained, the corrected target implementation example can be instructed to be deployed in the physical network.

The embodiment of the present application provides a possible implementation manner, and the acquiring a service requirement of a target network service includes:

instructing to deploy the modified target implementation instance in the physical network, further comprising:

The foregoing embodiment is a process of constructing a target network service, and after the construction is completed, a target implementation example corresponding to the target network service needs to be maintained and optimized. Specifically, fault information reported by a physical network can be collected in real time through a preset target interface, preset knowledge and performance fault association information are called to generate a corresponding closed-loop solution, and the performance fault association management information is used for determining other fault information associated with the fault information, for example, a fault A may cause a fault B, and the like.

The closed-loop solution of the embodiment of the application comprises the processes of discovering fault information, autonomously analyzing the reason of generating the fault information, generating a solution strategy for solving the fault information and solving the fault information without causing other fault information, deploying the solution strategy, and correcting the solution strategy to eliminate the fault.

Fig. 3 is an interactive schematic diagram schematically illustrating a method for constructing an implementation example of a network service based on a digital twinning technology according to an embodiment of the present application. As shown in fig. 3, the system comprises a communication network builder 310, a knowledge driving module 320, a digital twin network management block 330 and an asset management function block 340, wherein the network builder 310 issues the required content of the target network service; the knowledge driving module 320 comprises a strategy generation sub-block 321 and a target implementation example calling sub-block 322, wherein the strategy generation sub-block 321 is used for analyzing the requirement content, extracting the key information in the requirement content, and generating a target practice strategy which corresponds to the requirement and is applied to the digital twin network according to the key information; the target implementation example sub-block 322 includes an implemented implementation example scheduling unit 3221, a model example scheduling unit 3222, a meta model scheduling unit 3223, and a configuration unit 3224, where the implemented implementation example scheduling unit 3221 is configured to, when it is determined that a practiced policy whose similarity with the target implementation policy satisfies a first preset condition exists in the asset management function block 340, invoke an implemented implementation example corresponding to the practiced policy, determine the implemented implementation example as a reference implementation example, and perform secondary development on the reference implementation example to obtain a target implementation example; the model instance scheduling unit 3222 and the meta model scheduling unit 3223 are configured to, when it is determined that a practiced policy whose similarity with the target implementation policy does not satisfy a first preset condition exists in the database, develop and configure at least one model instance or meta model to obtain a target implementation instance corresponding to the target network service, where the model instance scheduling includes device model instance scheduling, network element model instance scheduling, and scene model instance scheduling; the meta-model scheduling unit 3222 includes a call to any one or more meta-models among device model scheduling, network element model scheduling, scenario model scheduling, and other meta-model scheduling; the configuration unit 3224 is configured to configure a reference implementation instance or model instance or meta-model; the digital twin network management block 330 comprises a digital twin network block 331 and a physical network block 321, the digital twin network block 330 having knowledge to deploy the target implementation instance in the physical network to which the digital twin network corresponds; in the operation process of the physical network, acquiring operation data reported by the physical network in real time through a preset target interface; if the operating data is determined to be abnormal, acquiring environment information of the physical network, and correcting the target implementation example according to the environment information to obtain a corrected target implementation example; indicating that the revised target implementation instance is to be deployed on the physical network. Asset management function 340 is used to manage various assets, including knowledge assets 341, meta-model assets 342, protocol assets 343, fault management assets 344, practiced implementation instance assets 345, and model instance assets 346, among others; implemented implementation instance assets 345 include implemented policy assets 3451 and implementation information assets 3452 (not shown); model instance assets 346 include equipment model instance assets 3461 (not shown), network element model instance assets 3462 (not shown), and scenario model instance assets 3463 (not shown); the meta-model assets 342 include device model assets 3421, network element model assets 3422, scenario model assets 3423, other meta-model assets 3424, wherein the knowledge driver module 320 can call the assets of the asset management function block 340, such as the implemented implementation instance assets, model instance assets, meta-model assets, etc., and after generating the target implementation instance, the knowledge driver module 320 can store the target implementation instance as the implemented implementation instance in the assets of the asset management function block 340. The asset management function block 340, after determining the modified target implementation example, deploys the modified target implementation example in the physical network block 332, the digital twin network block 331 may perform data interaction with the physical network block 332, and the digital twin block feeds back the acquired data to the knowledge driver module 320, and after running without error, the knowledge driver module 320 confirms delivery to the communication network builder 310.

As shown in fig. 4, an application scenario diagram schematically illustrates a method for constructing an implementation example of a network service based on a digital twin technology according to an embodiment of the present application, and includes:

step S401, a factory floor interface responsible person is a communication network builder, and inputs the requirement of the target network service to a knowledge driving function block;

step S402, extracting key information in the input requirements by the knowledge driving function block, converting the key information into requirement data in a target format (so as to describe the construction requirements of the factory area network by using uniform data), and generating a target practice strategy which corresponds to the requirement data and is applied to the digital twin network;

step S403, calling knowledge analysis stored in the asset management function block, and determining similarity between each practiced strategy and a target practice strategy in the asset management function block;

step S404, judging whether the maximum value of the similarity among all the similarities reaches a first preset condition or not;

step S405, if the maximum similarity value meets a first preset condition, determining that the practical strategy corresponding to the maximum similarity value is a reference practical strategy, determining that an implemented implementation example corresponding to the reference practical strategy is a reference implementation example corresponding to a target practical strategy, and optimizing (or secondarily developing) the reference implementation example based on the difference between the target practical strategy and the reference practical strategy to obtain a target implementation example corresponding to a target network service;

step S405', if the maximum similarity value does not meet a first preset condition, the knowledge, protocol information, model examples, meta-models, configuration information and the like stored in the asset management function block are called to construct target implementation examples corresponding to target network services by combining with target practice strategies;

step S406, indicating that the target implementation example is deployed in the physical network corresponding to the digital twin network;

step S407, acquiring running data reported by the physical network in real time through a preset target interface in the running process of the physical network, calling knowledge to analyze abnormal data if the running data is determined to be abnormal, obtaining correction information, and correcting a target implementation example according to the correction information to obtain a corrected target implementation example; instructing deployment of the revised target implementation instance to the physical network;

step S408, the target implementation example deployed in the physical network is delivered to the factory floor to be checked and confirmed.

The implementation process of the above steps S401 to S408 is consistent with the foregoing embodiment, and will not be described again here.

The embodiment of the present application provides a constructing apparatus 50 for an implementation example of a network service based on a digital twin technology, as shown in fig. 5, the constructing apparatus 50 for an implementation example of a network service may include:

a target practice strategy generating module 510, configured to obtain a requirement of a target network service, and generate a target practice strategy corresponding to the requirement of the target network service and applied to the digital twin network;

an implementation example obtaining module 520, configured to obtain at least one implemented implementation example that is stored in advance and corresponds to other network services, where the implemented implementation example is an implementation example that is implemented in a physical network and corresponds to other network services, and includes a practiced policy and implementation information of the network service corresponding to the implemented implementation example;

a reference example determining module 530, configured to determine similarity between each practiced strategy and the target practical strategy, respectively, and if a maximum similarity value in all the similarity degrees meets a first preset condition, determine that the practiced strategy corresponding to the maximum similarity value is a reference practical strategy, and determine that an implemented implementation example where the reference practical strategy is located is a reference implementation example;

and a target implementation example determining module 540, configured to optimize the reference implementation example to obtain a target implementation example corresponding to the target network service.

According to the embodiment of the application, the reference implementation example is determined to optimize the reference implementation example according to the similarity between the target implementation strategy and the practical strategy, namely, the reference implementation example is developed for the second time to obtain the target embodiment corresponding to the target network service, and the difficulty of developing the target implementation example corresponding to the target network service is greatly reduced.

The embodiment of the present application provides a possible implementation manner, and the target practice policy generation module includes:

the target practice strategy generation submodule is used for extracting key information in the requirement; generating a target practice strategy applied to the digital twin network, which corresponds to the service requirement of the target network, based on preset knowledge analysis key information; knowledge includes algorithms transformed by predetermined theorems, axioms, common sense, facts, or expert experience.

In the embodiment of the present application, a possible implementation manner is provided, and the apparatus further includes:

the model instance or meta-model obtaining module is used for obtaining at least one model instance or meta-model if the maximum similarity value in all the similarities does not accord with a first preset condition, wherein the model instance is a developed digital twin model corresponding to a physical entity; the meta-model is at least one basic model which is constructed by performing feature extraction on data information of twin objects of the same category in the digital twin network and applying data uniform representation;

and the development module is used for calling at least one model instance or at least one meta-model to develop and configure so as to obtain a target implementation instance corresponding to the target network service.

The embodiment of the present application provides a possible implementation manner, and the apparatus further includes:

a probability determination module for determining a probability that the target implementation instance is reused;

and the storage module is used for determining to store the target implementation example as the implemented implementation example if the probability meets the second preset condition.

The embodiment of the present application provides a possible implementation manner, and the target implementation example determining module further includes:

and the optimization sub-module is used for determining the difference between the reference practice strategy and the target practice strategy and optimizing the reference implementation example according to the difference.

The embodiment of the present application provides a possible implementation manner, and the optimization submodule is specifically configured to determine at least one configuration parameter corresponding to at least one twin object corresponding to the difference, and modify the at least one configuration parameter of each twin object to optimize the reference implementation example.

the first indication module is used for indicating that the target implementation example is deployed in a physical network corresponding to the digital twin network.

the operation data acquisition module is used for acquiring operation data reported by the physical network in real time through a preset target interface in the operation process of the physical network;

the correction module is used for calling the abnormal data of knowledge analysis to obtain correction information if the operating data is determined to be abnormal, and correcting the target implementation example according to the correction information to obtain a corrected target implementation example; (ii) a

And the second indicating module is used for indicating that the modified target implementation example is deployed in the physical network.

The apparatus of the embodiment of the present application may execute the method provided by the embodiment of the present application, and the implementation principle is similar, the actions executed by the modules in the apparatus of the embodiments of the present application correspond to the steps in the method of the embodiments of the present application, and for the detailed functional description of the modules of the apparatus, reference may be specifically made to the description in the corresponding method shown in the foregoing, and details are not repeated here.

The embodiment of the application provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory, wherein the processor executes the computer program to realize the steps of the construction method of the implementation example of the network service, and compared with the related technology, the method can realize the following steps: according to the embodiment of the application, a target practice strategy which corresponds to the requirement and is applied to the digital twin network is generated by acquiring the requirement of the target network service; acquiring at least one pre-stored implemented implementation example, wherein the implemented implementation example is an implementation example which is implemented in a physical network and corresponds to other network services, and the implemented implementation example comprises a practical strategy and implementation information of the network service corresponding to the implemented implementation example; respectively determining the similarity between each practical strategy and the target practical strategy, and if the maximum value of the similarity in all the similarities meets a first preset condition, determining the implemented implementation example of the practical strategy corresponding to the maximum value of the similarity as a reference implementation example; and optimizing the reference implementation example to obtain a target implementation example corresponding to the target network service. According to the embodiment of the application, the reference implementation example is determined to optimize the reference implementation example according to the similarity between the target implementation strategy and the practical strategy, namely, the reference implementation example is developed for the second time to obtain the target embodiment corresponding to the target network service, and the difficulty of developing the target implementation example corresponding to the target network service is greatly reduced.

In an alternative embodiment, an electronic device is provided, as shown in fig. 6, the electronic device 4000 shown in fig. 6 comprising: a processor 4001 and a memory 4003. Processor 4001 is coupled to memory 4003, such as via bus 4002. Optionally, the electronic device 4000 may further include a transceiver 4004, and the transceiver 4004 may be used for data interaction between the electronic device and other electronic devices, such as transmission of data and/or reception of data. In addition, the transceiver 4004 is not limited to one in practical applications, and the structure of the electronic device 4000 is not limited to the embodiment of the present application.

The Processor 4001 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 4001 may also be a combination that performs a computational function, including, for example, a combination of one or more microprocessors, a combination of a DSP and a microprocessor, or the like.

Bus 4002 may include a path that carries information between the aforementioned components. The bus 4002 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 4002 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus.

The Memory 4003 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium, other magnetic storage devices, or any other medium that can be used to carry or store a computer program and that can be Read by a computer, without limitation.

The memory 4003 is used for storing computer programs for executing the embodiments of the present application, and is controlled by the processor 4001 to execute. The processor 4001 is used to execute computer programs stored in the memory 4003 to implement the steps shown in the foregoing method embodiments.

The electronic device package may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle-mounted terminal (e.g., a car navigation terminal), etc., and a stationary terminal such as a digital TV, a desktop computer, etc., among others. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

Embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, and when being executed by a processor, the computer program may implement the steps and corresponding contents of the foregoing method embodiments. Compared with the prior art, the method can realize that: according to the embodiment of the application, a target practice strategy which corresponds to the requirement and is applied to the digital twin network is generated by acquiring the requirement of the target network service; acquiring at least one implemented implementation example which is stored in advance, wherein the implemented implementation example is implemented in a physical network and corresponds to other network services, and the implemented implementation example comprises practical strategies and implementation information of the corresponding network services; respectively determining the similarity between each practical strategy and the target practical strategy, and if the maximum value of the similarity in all the similarities meets a first preset condition, determining the implemented implementation example of the practical strategy corresponding to the maximum value of the similarity as a reference implementation example; and optimizing the reference implementation example to obtain a target implementation example corresponding to the target network service. According to the embodiment of the application, the reference implementation example is determined to optimize the reference implementation example according to the similarity between the target implementation strategy and the practical strategy, namely, the reference implementation example is developed for the second time to obtain the target embodiment corresponding to the target network service, and the difficulty of developing the target implementation example corresponding to the target network service is greatly reduced.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

Embodiments of the present application further provide a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps and corresponding contents of the foregoing method embodiments can be implemented. Compared with the prior art, the method can realize that: according to the embodiment of the application, a target practice strategy which corresponds to the requirement and is applied to the digital twin network is generated by acquiring the requirement of the target network service; acquiring at least one implemented implementation example which is stored in advance, wherein the implemented implementation example is implemented in a physical network and corresponds to other network services, and the implemented implementation example comprises practical strategies and implementation information of the corresponding network services; respectively determining the similarity between each practical strategy and the target practical strategy, and if the maximum value of the similarity in all the similarities meets a first preset condition, determining the implemented implementation example of the practical strategy corresponding to the maximum value of the similarity as a reference implementation example; and optimizing the reference implementation example to obtain a target implementation example corresponding to the target network service. According to the embodiment of the application, the reference implementation example is determined to optimize the reference implementation example according to the similarity between the target implementation strategy and the practical strategy, namely, the reference implementation example is developed for the second time to obtain the target embodiment corresponding to the target network service, and the difficulty of developing the target implementation example corresponding to the target network service is greatly reduced.

The terms "first," "second," "third," "fourth," "1," "2," and the like in the description and claims of this application and in the preceding drawings (if any) are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in other sequences than illustrated or otherwise described herein.

It should be understood that, although each operation step is indicated by an arrow in the flowchart of the embodiment of the present application, the implementation order of the steps is not limited to the order indicated by the arrow. In some implementation scenarios of the embodiments of the present application, the implementation steps in the flowcharts may be performed in other sequences as desired, unless explicitly stated otherwise herein. In addition, some or all of the steps in each flowchart may include multiple sub-steps or multiple stages based on an actual implementation scenario. Some or all of these sub-steps or stages may be performed at the same time, or each of these sub-steps or stages may be performed at different times, respectively. In a scenario where execution times are different, an execution sequence of the sub-steps or the phases may be flexibly configured according to requirements, which is not limited in the embodiment of the present application.

The above are only optional embodiments of partial implementation scenarios in the present application, and it should be noted that, for those skilled in the art, other similar implementation means based on the technical idea of the present application are also within the scope of protection of the embodiments of the present application without departing from the technical idea of the present application.

Claims

1. A construction method of an implementation example of a network service based on a digital twin technology is characterized by comprising the following steps:

acquiring at least one pre-stored implemented implementation example, wherein the implemented implementation example is an implementation example corresponding to other network services and implemented in a physical network, and the implemented implementation example comprises practical strategies and implementation information of the network services corresponding to the implemented implementation example;

respectively determining the similarity between each practiced strategy and the target practical strategy, if the maximum similarity value in all the similarities meets a first preset condition, determining the practiced strategy corresponding to the maximum similarity value as a reference practiced strategy, and determining the implemented implementation example where the reference practiced strategy is located as a reference implementation example;

2. The method of claim 1, wherein generating the target practice strategy corresponding to the demand and applied to the digital twin network comprises:

extracting key information in the requirement; analyzing the key information based on preset knowledge to generate a target practice strategy which corresponds to the target network service requirement and is applied to the digital twin network; the knowledge includes algorithms of pre-set theorems, axioms, common sense, facts, or expert experience transformations.

3. The method of claim 1, wherein after determining the similarity between each of the practiced strategies and the target practiced strategy, respectively, comprises:

if the maximum value of the similarity among all the similarities does not meet a first preset condition, acquiring at least one model instance or meta-model, wherein the model instance is a developed digital twin model corresponding to a physical entity; the meta-model is at least one basic model which is constructed by extracting the characteristics of twin objects in the same category in the digital twin network and uniformly representing the characteristics by using data;

and calling the at least one model instance or the at least one meta-model to develop and configure to obtain a target implementation instance corresponding to the target network service.

4. The method according to any one of claim 3, wherein after obtaining the target implementation instance corresponding to the target network service, the method further comprises:

determining a probability that the target implementation instance is reused;

and if the probability meets a second preset condition, determining to store the target implementation example as an implemented implementation example.

5. The method of claim 1, wherein the optimizing the reference implementation instance comprises:

determining a difference between the reference practice strategy and the target practice strategy, and optimizing the reference implementation instance according to the difference.

6. The method of claim 5, wherein said optimizing said reference implementation instance based on said difference comprises:

determining at least one configuration parameter corresponding to at least one twin object corresponding to the difference, and modifying the at least one configuration parameter of each twin object to optimize the reference implementation instance.

7. The method of claim 1, wherein after obtaining the target implementation instance corresponding to the target network service, the method further comprises:

instructing deployment of the target implementation instance in a physical network to which the digital twin network corresponds.

8. The method of claim 7, wherein the instructing, after deploying the target implementation instance in the physical network corresponding to the digital twin network, further comprises:

in the operation process of a physical network, acquiring operation data reported by the physical network in real time through a preset target interface;

instructing deployment of the revised target implementation instance to the physical network.

9. The method of claim 8, wherein the instructing deploys the amended target implementation instance behind the physical network further comprises:

acquiring fault information reported by the physical network in real time through a preset target interface, and calling preset knowledge and performance fault associated management information to generate a closed-loop solution corresponding to the fault information; and the performance fault association management information is used for determining other fault information associated with the fault information.

10. An apparatus for constructing an implementation instance of a network service based on a digital twinning technique, comprising:

the target practice strategy generating module is used for acquiring the requirement of a target network service and generating a target practice strategy which corresponds to the requirement of the target network service and is applied to the digital twin network;

the system comprises an implementation example acquisition module, a network service management module and a service management module, wherein the implementation example acquisition module is used for acquiring at least one pre-stored implemented implementation example, the implemented implementation example is an implementation example which is implemented in a physical network and corresponds to other network services, and the implemented implementation example comprises practical strategies and implementation information of the corresponding network services;

a reference example determining module, configured to determine similarity between each of the practiced policies and the target practical policy, determine, if a maximum similarity value in all the similarity values meets a first preset condition, that a practiced policy corresponding to the maximum similarity value is a reference practical policy, and determine, as a reference implementation example, an implemented implementation example in which the reference practical policy is located;

11. An electronic device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to implement the steps of the method of any of claims 1-9.

12. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 9.