Network digital twin construction method and apparatus, network element device and storage medium

Abstract

The present disclosure relates to the technical field of communications, and in particular provides a network digital twin construction method and apparatus, a network element device, and a storage medium. The network digital twin construction method comprises: sending a query request to a first network element, the query request being used for querying related information of a target network element; receiving the related information of the target network element from the first network element; and on the basis of the related information of the target network element, generating a network digital twin function management object instance corresponding to the target network element. According to network digital twin provided in embodiments of the present disclosure, network digital twin construction is carried out by means of a digital twin technology on the basis of different requirement scenarios, thereby achieving the capabilities of the network digital twin for actual network full-lifecycle management, whole-network visualization, simulation prediction, closed-loop control, service level agreement guarantee and the like.

Description

Network digital twin construction method, device, network element equipment and storage medium

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This disclosure is based on and claims the priority of Chinese patent application with application number 202311528488.0 and application date November 16, 2023. The entire content of the Chinese patent application is hereby incorporated into this disclosure by reference. Technical Field

[0003] The present disclosure relates to the field of communication technology, and in particular to a method, apparatus, network element device, and storage medium for constructing a network digital twin. Background Art

[0004] Digital twin technology digitally builds virtual models of physical entities, digitizing the physical world. Leveraging historical data, real-time data, and algorithmic models, it enables real-time, closed-loop analysis, prediction, and optimization of physical entities. Digital twins merge the fragmented virtual and real worlds and are the next generational theme in cutting-edge technology.

[0005] In the field of mobile communications, with the explosive growth in the number of access devices and the number and diversity of running services in the network, communication networks will be networked in the form of network slicing. The diverse slice services pose a huge challenge to the overall network operation and maintenance and network resource management. If digital twin technology can be introduced in the field of mobile networks, the availability of the current network can be evaluated before the network deployment is implemented, and resource usage and network deployment status can be predicted in advance. At present, the network availability technology monitoring solutions defined in existing standards are all based on existing network technologies, and do not consider the methods for constructing twins after the introduction of digital twin technology in the network. They cannot realize the network digital twin (NDT) management, which involves modeling network twins according to different demand scenarios to achieve the full life cycle management, full network visualization, simulation prediction, closed-loop control, and service level agreement guarantees of the digital twin technology network.

[0006] Summary of the Invention

[0007] In view of the above problems, the present disclosure is proposed. The present disclosure provides a method, apparatus, network element device and storage medium for constructing a network digital twin.

[0008] According to a first aspect of the present disclosure, a network digital twin construction method is provided, including: sending a query request to a first network element, the query request being used to query relevant information of a target network element; receiving relevant information of the target network element from the first network element; and generating a network digital twin function management object instance corresponding to the target network element based on the relevant information of the target network element.

[0009] In one implementation of the present disclosure, a network digital twin function management object instance corresponding to the target network element is generated based on the relevant information of the target network element, including: generating configuration parameters of the network digital twin function management object instance based on the relevant information of the target network element; and verifying the network function of the network digital twin function management object instance based on the configuration parameters.

[0010] In one implementation of the present disclosure, verifying the network function of the network digital twin function management object instance based on the configuration parameters also includes: in the event that the network function verification fails, regenerating the configuration parameters of the network digital twin function management object instance based on the relevant information of the target network element, and executing the steps of verifying the network function of the network digital twin function management object instance; and / or in the event that the network function verification is successful, generating a network digital twin function management object instance corresponding to the target network element based on the configuration parameters.

[0011] In one implementation of the present disclosure, the first network element includes a management data analysis system network element and / or a network function management function network element, and / or the query request includes the network element identifier of the target network element and / or the network slice identifier of the network slice to which the target network element belongs.

[0012] In one implementation of the present disclosure, the relevant information of the target network element includes at least one of network model information of the target network element and network parameter information corresponding to the network model information.

[0013] In one implementation of the present disclosure, a network digital twin function management object instance corresponding to a target network element is generated, including: creating a network digital twin function management object instance when the network digital twin function management object instance corresponding to the target network element does not exist; and / or adjusting the network digital twin function management object instance when the network digital twin function management object instance corresponding to the target network element exists.

[0014] According to the second aspect of the present disclosure, a network digital twin construction device is provided, including: a sending unit, configured to send a query request to a first network element, the query request being used to query relevant information of a target network element; a receiving unit, configured to receive relevant information of the target network element from the first network element; and a generating unit, configured to generate a network digital twin function management object instance corresponding to the target network element based on the relevant information of the target network element.

[0015] In one implementation of the present disclosure, the generation unit is configured to: generate configuration parameters of the network digital twin function management object instance based on relevant information of the target network element; and verify the network function of the network digital twin function management object instance based on the configuration parameters.

[0016] In one implementation of the present disclosure, the generation unit is further configured to: in the event that the network function verification fails, regenerate the configuration parameters of the network digital twin function management object instance based on the relevant information of the target network element, and execute the step of verifying the network function of the network digital twin function management object instance; and / or in the event that the network function verification is successful, generate a network digital twin function management object instance corresponding to the target network element based on the configuration parameters.

[0017] In one implementation of the present disclosure, the first network element includes a management data analysis system network element and a network function management function network element, and / or the query request includes the network element identifier of the target network element and / or the network slice identifier of the network slice to which the target network element belongs.

[0018] In one implementation of the present disclosure, the relevant information of the target network element includes at least one of network model information of the target network element and network parameter information corresponding to the network model information.

[0019] In one implementation of the present disclosure, the generation unit is configured to: create a network digital twin function management object instance when the network digital twin function management object instance corresponding to the target network element does not exist; and / or adjust the network digital twin function management object instance when the network digital twin function management object instance corresponding to the target network element exists.

[0020] According to a third aspect of the present disclosure, a network element device is provided, including: a transceiver for sending a query request to a first network element, the query request being used to query relevant information of a target network element, and receiving relevant information of the target network element from the first network element; and a processor for generating a network digital twin function management object instance corresponding to the target network element based on the relevant information of the target network element.

[0021] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium is provided for storing computer-readable instructions, characterized in that when the computer-readable instructions are executed by a processor, the processor executes the network digital twin construction method as described above.

[0022] As will be described in detail below, according to the network digital twin construction method, device, network element equipment and storage medium of the embodiment of the present disclosure, it is possible to realize the construction of network digital twins according to different demand scenarios through digital twin technology, so as to realize the network digital twin's capabilities of full life cycle management, full network visualization, simulation prediction, closed-loop control and service level agreement guarantee for the actual network. According to the network digital twin construction method of the embodiment of the present disclosure, it supports the construction of 5G networks / network slices formed by connecting various physical devices (such as hosts, routers, switches, etc.) and media (optical fiber cables, cables, twisted pairs, etc.). According to the network digital twin construction method of the embodiment of the present disclosure, all existing data in the network management system can be integrated to create an accurate network digital twin model based on real-time data and offline historical data. The model can digitally display the operating status and health status of the network infrastructure, including physical network devices, logical network devices, ports, links, etc. More specifically, according to the network digital twin construction method of the embodiment of the present disclosure, a full-scale physical network or only a part of it can be simulated.

[0023] It is to be understood that both the foregoing general description and the following detailed description are exemplary, and are intended to provide further explanation of the technology as claimed. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and other purposes, features, and advantages of the present disclosure will become more apparent through a more detailed description of the embodiments of the present disclosure in conjunction with the accompanying drawings. The accompanying drawings are intended to provide a further understanding of the embodiments of the present disclosure and constitute a part of the specification. Together with the embodiments of the present disclosure, they are used to explain the present disclosure and are not intended to limit the present disclosure. In the drawings, the same reference numerals generally represent the same components or steps.

[0025] FIG1 is a schematic diagram illustrating a scenario of applying a network digital twin construction method according to an embodiment of the present disclosure.

[0026] FIG2 is a flowchart illustrating a method for constructing a network digital twin according to an embodiment of the present disclosure.

[0027] FIG3 is a schematic diagram illustrating a method for constructing a network digital twin according to an embodiment of the present disclosure.

[0028] FIG4 is a flowchart illustrating a method for constructing a network digital twin according to an embodiment of the present disclosure.

[0029] FIG5 is a block diagram illustrating a network digital twin construction device according to an embodiment of the present disclosure.

[0030] FIG6 is a block diagram illustrating a network element device according to an embodiment of the present disclosure.

[0031] FIG. 7 is a schematic diagram illustrating a computer-readable storage medium according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solutions and advantages of the present disclosure more apparent, the following will describe in detail exemplary embodiments of the present disclosure with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all the embodiments of the present disclosure, and it should be understood that the present disclosure is not limited to the exemplary embodiments described herein.

[0033] First, a scenario of applying the network digital twin construction method according to an embodiment of the present disclosure is described with reference to FIG1 .

[0034] The network digital twin construction method according to the embodiment of the present disclosure is used to introduce a digital twin into the communication network management system to simulate the operating environment and operating status of the end-to-end network as a whole, and to interact with each network entity in real time. Various types of operating information of the network entity can be input into the digital twin in real time to build a network digital twin service. The construction of the network digital twin requires intercommunication with the network management system, and the corresponding relevant network services and network element configurations in the physical entity are sent to each network element in the twin network. Although the original network resource model is used, it is also necessary to create a network function management object instance (Managed Object Instance, MOI). The network digital twin can simulate all operations in the real physical communication network and has the ability to analyze and predict the future status and performance of the communication network. For example, some artificial intelligence models such as deep learning and machine learning can be introduced into the entire network digital twin system to assist network management optimization, network prediction, capacity planning, etc. By modeling the network services in the network digital twin, the training data can be continuously supplemented and updated to the model through the input information of the physical entity, forming an adaptive mechanism within the network digital twin model to achieve more accurate closed-loop network operation and maintenance.

[0035] As shown in Figure 1, the network digital twin function management object instance 10 generated by the network digital twin construction method according to an embodiment of the present disclosure can be constructed in response to a request from a Management Data Analytics (MDA) Management Services (MnS) consumer 20. The Management Data Analytics (MDA) Management Services (MnS) producer 30 can provide relevant information for constructing the network element corresponding to the network digital twin function management object instance 10. In addition, the network digital twin function management object instance 10 can also interact with other entities such as MnS producers 40 and non-3GPP management systems 50.

[0036] Hereinafter, the network digital twin construction method according to an embodiment of the present disclosure will be further described with reference to Figures 2 to 4.

[0037] Figure 2 is a flow chart illustrating a method for constructing a network digital twin according to an embodiment of the present disclosure. As shown in Figure 2 , in step S201 , a query request is sent to a first network element.

[0038] In an embodiment of the present disclosure, a query request is sent by a Network Digital Twin Management Function (NDT_MF) network element to a first network element. The first network element may be a Management Data Analysis System (MDAS) network element or a Network Function Management Function (NFMF) network element.

[0039] In the case where the first network element is a management data analysis system (MDAS) network element, the query request is used to query information about a management object of the management data analysis system (MDAS) network element, where the management object is a target network element. The query request may include a network element identifier of the target network element, or a network slice identifier of a network slice to which the target network element belongs.

[0040] In the case where the first network element is a network function management function (NFMF) network element, the query request is used to query information about a management object of the network function management function (NFMF) network element, where the management object is a target network element. The query request may include a network element identifier of the target network element, or a network slice identifier of a network slice to which the target network element belongs.

[0041] The query request is used to obtain user information at the granularity of the public land mobile network (PLMN), single network slice selection assistance information (SNSSAI), data network name (DNN), or network group within a virtual network.

[0042] In step S202, relevant information of the target network element is received from the first network element.

[0043] In an embodiment of the present disclosure, the relevant information of the target network element received from the first network element includes network model information of the target network element, network parameter information corresponding to the network model information, etc. The network model information includes, for example, service configuration information and network slice configuration information. The network parameter information includes, for example, parameters of the management object instance corresponding to the network function and their values.

[0044] More specifically, network models are divided into two categories: basic models and functional models. Basic models refer to network element models and topology models that correspond to the physical network's twin, built based on basic network element configuration, environmental information, operating status, link topology, and other information. This allows for a real-time and accurate description of the physical network. Functional models are models built for specific application scenarios, leveraging network data in the data warehouse to provide network analysis, simulation, diagnosis, prediction, and assurance.

[0045] Functional models can be constructed according to network types, and there can be models serving a single network domain (such as mobile access network, transmission network, core network, bearer network, etc.) or models serving multiple network domains.

[0046] Functional models can be constructed according to function types, and models such as status monitoring, traffic analysis, safety drills, fault diagnosis, and quality assurance can be constructed.

[0047] Functional models can be constructed according to the scope of application and can be divided into general models and special models.

[0048] Functional models can be constructed according to network lifecycle management and can be divided into planning, construction, maintenance, optimization and operation models.

[0049] The various functional models can be combined with each other to construct data models that serve more specific business scenarios, such as digital twin-based signaling storm control, digital twin-based network service service level agreement guarantee, network cloud cross-layer perspective sub-scenarios, high-risk operation simulation sub-scenarios, and network cloud resource deployment optimization sub-scenarios.

[0050] In step S203, based on the relevant information of the target network element, a network digital twin function management object instance corresponding to the target network element is generated.

[0051] In the embodiments of the present disclosure, the configuration of the network digital twin function management object instance corresponding to the target network element is the same as the actual configuration of the target network element. In other words, the network digital twin function management object instance can interact with the actual network in real time.

[0052] According to the network digital twin construction method of the embodiment of the present disclosure, it is possible to realize the construction of network digital twins according to different demand scenarios through digital twin technology, so as to realize the network digital twin's capabilities of full life cycle management, full network visualization, simulation prediction, closed-loop control and service level agreement guarantee for the actual network. According to the network digital twin construction method of the embodiment of the present disclosure, it supports the construction of 5G networks / network slices formed by connecting various physical devices (such as hosts, routers, switches, etc.) and media (optical fiber cables, cables, twisted pairs, etc.). According to the network digital twin construction method of the embodiment of the present disclosure, all existing data in the network management system can be integrated to create an accurate network digital twin model based on real-time data and offline historical data. The model can digitally display the operating status and health status of the network infrastructure, including physical network devices, logical network devices, ports, links, etc. More specifically, according to the network digital twin construction method of the embodiment of the present disclosure, a full-scale physical network or only a part of it can be simulated.

[0053] Figure 3 is a schematic diagram illustrating a method for constructing a network digital twin according to an embodiment of the present disclosure. Figure 4 is a flow chart illustrating a method for constructing a network digital twin according to an embodiment of the present disclosure.

[0054] As shown in Figure 3, the MDAMnS consumer 301 issues a network function management object instance (MOI) request to the NDT_MF 302 in S1. S1 in Figure 3 corresponds to step S401 shown in Figure 4, i.e., receiving a request to create or adjust a network digital twin function management object instance. In other words, if the network digital twin function management object instance does not exist, the network function management object instance (MOI) request is used to create the network digital twin function management object instance. If the network digital twin function management object instance exists, the network function management object instance (MOI) request is used to adjust the network digital twin function management object instance.

[0055] Furthermore, as shown in FIG3 , NDT_MF 302 initiates a query request corresponding to a network function management object instance (MOI) request to MDAS 303 or NFMF 304 in S2. S2 in FIG3 corresponds to step S402 shown in FIG4 , i.e., sending a query request to a first network element. The first network element may be MDAS 303 or NFMF 304. The query request is used to query information about a management object of MDAS 303 or NFMF 304, where the management object is a target network element. The query request may include the network element identifier of the target network element, or the network slice identifier of the network slice to which the target network element belongs.

[0056] Furthermore, as shown in FIG3 , MDAS 303 or NFMF 304 returns a query result in response to the query request in S2 to NDT_MF 302 in S3. S3 in FIG3 corresponds to step S403 shown in FIG4 , i.e., receiving relevant information of the target network element from the first network element. The relevant information of the target network element received from the first network element includes network model information of the target network element, network parameter information corresponding to the network model information, etc. The network model information includes, for example, service configuration information and network slice configuration information. The network parameter information includes, for example, parameters of the management object instance corresponding to the network function and their values.

[0057] Furthermore, as shown in Figure 3, NDT_MF 302 returns the result of its response to the network function management object instance (MOI) request in S1 to MDAMnS consumer 301 in S4. S4 in Figure 3 corresponds to steps S404 to S406 in Figure 4. In step S404, configuration parameters for the network digital twin function management object instance are generated based on the relevant information of the target network element. In step S405, a configuration verification is performed to determine whether the corresponding function can be implemented based on the configuration parameters generated in step S404. For example, the parameter values ​​in the parameter list are input, and the expected result is obtained based on the internal logic of the network digital twin. If it is determined in step S405 that the network function is not feasible (i.e., for example, the expected result output by the network digital twin differs from the actual result corresponding to the real network by more than a predetermined threshold), the process returns to step S404 to adjust the configuration parameters for generating the network digital twin function management object instance. If it is determined in step S405 that the network function is feasible, a network digital twin function management object instance corresponding to the target network element is generated in step S406.

[0058] FIG5 is a block diagram illustrating a network digital twin construction apparatus according to an embodiment of the present disclosure.

[0059] As shown in Figure 5, a network digital twin construction device 500 according to an embodiment of the present disclosure includes a sending unit 501, a receiving unit 502, and a generating unit 503. Those skilled in the art will readily appreciate that these unit modules can be implemented in various ways by hardware alone, software alone, or a combination thereof, and the present disclosure is not limited to any of them.

[0060] Specifically, the sending unit 501 is configured to send a query request to the first network element, where the query request is used to query relevant information of the target network element. The receiving unit 502 is configured to receive relevant information of the target network element from the first network element. The generating unit 503 is configured to generate a network digital twin function management object instance corresponding to the target network element based on the relevant information of the target network element.

[0061] More specifically, the generation unit 503 is configured to generate configuration parameters of a network digital twin function management object instance based on relevant information of the target network element; verify the network function of the network digital twin function management object instance based on the configuration parameters; if the network function verification fails, regenerate the configuration parameters of the network digital twin function management object instance based on the relevant information of the target network element, and perform the step of verifying the network function of the network digital twin function management object instance; and / or if the network function verification is successful, generate a network digital twin function management object instance corresponding to the target network element based on the configuration parameters. The generation unit 503 is configured to: create a network digital twin function management object instance if the network digital twin function management object instance corresponding to the target network element does not exist; and / or adjust the network digital twin function management object instance if the network digital twin function management object instance corresponding to the target network element exists.

[0062] The first network element includes a management data analysis network element and / or a network function management function network element, and the query request includes a network element identifier of a target network element and / or a network switching identifier of a network slice to which the target network element belongs. The relevant information of the target network element includes at least one of network model information of the target network element and network parameter information corresponding to the network model information.

[0063] According to the network digital twin construction device of the embodiment of the present disclosure, the network digital twin construction is realized according to different demand scenarios through the digital twin technology, so as to realize the network digital twin's capabilities of full life cycle management, full network visualization, simulation prediction, closed-loop control and service level agreement guarantee for the actual network. According to the network digital twin construction device of the embodiment of the present disclosure, it supports the construction of a 5G network / network slice formed by connecting various physical devices (such as hosts, routers, switches, etc.) and media (optical fiber cables, cables, twisted pairs, etc.). According to the network digital twin construction device of the embodiment of the present disclosure, all existing data in the network management system can be integrated to create an accurate network digital twin model based on real-time data and offline historical data. The model can digitally display the operating status and health status of the network infrastructure, including physical network devices, logical network devices, ports, links, etc. More specifically, according to the network digital twin construction device of the embodiment of the present disclosure, a full-scale physical network or only a part of it can be simulated.

[0064] FIG6 is a block diagram illustrating a network element device according to an embodiment of the present disclosure.

[0065] As shown in Figure 6, the network element device 600 according to an embodiment of the present disclosure includes a processor 601, a memory 602 and a transceiver 604. These units are interconnected via a bus 603. The transceiver 604 is used to send a query request to the first network element, the query request is used to query the relevant information of the target network element, and to receive the relevant information of the target network element from the first network element. The processor 601 is used to generate a network digital twin function management object instance corresponding to the target network element based on the relevant information of the target network element. The network element device 600 according to an embodiment of the present disclosure can be the network digital twin management function (NDT_MF) network element as described above.

[0066] FIG7 is a schematic diagram illustrating a computer-readable storage medium according to an embodiment of the present disclosure. As shown in FIG7 , a computer-readable storage medium 700 according to an embodiment of the present disclosure has computer-readable instructions 701 stored thereon. When the computer-readable instructions 701 are executed by a processor, the network digital twin construction method described with reference to the above figures is executed. The computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may, for example, include random access memory (RAM) and / or cache memory. The non-volatile memory may, for example, include read-only memory (ROM), a hard disk, a flash memory, an optical disk, a magnetic disk, etc.

[0067] Above, the network digital twin construction method, device, network element device and storage medium according to the embodiment of the present disclosure are described with reference to the accompanying drawings. According to the network digital twin construction method of the embodiment of the present disclosure, the network digital twin construction is realized by digital twin technology according to different demand scenarios, so as to realize the network digital twin's capabilities for the entire life cycle management of the actual network, full network visualization, simulation prediction, closed-loop control and service level agreement guarantee. According to the network digital twin construction method of the embodiment of the present disclosure, it supports the construction of a 5G network / network slice formed by connecting various physical devices (such as hosts, routers, switches, etc.) and media (optical fiber cables, cables, twisted pairs, etc.). According to the network digital twin construction method of the embodiment of the present disclosure, all existing data in the network management system can be integrated to create an accurate network digital twin model based on real-time and offline historical data. The model can digitally display the operating status and health status of the network infrastructure, including physical network devices, logical network devices, ports, links, etc. More specifically, according to the network digital twin construction method of the embodiment of the present disclosure, a full-scale physical network or only a part of it can be simulated.

[0068] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0069] The basic principles of the present disclosure have been described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, and effects mentioned in this disclosure are merely illustrative and not restrictive, and should not be construed as necessarily possessed by each embodiment of the present disclosure. Furthermore, the specific details disclosed above are provided for illustrative purposes and to facilitate understanding, rather than as limitations. These details do not limit the present disclosure to necessarily being implemented using these specific details.

[0070] The block diagrams of the devices, devices, equipment, and systems involved in this disclosure are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As will be appreciated by those skilled in the art, these devices, devices, equipment, and systems can be connected, arranged, or configured in any manner. Words such as "include," "comprise," "have," and the like are open-ended words, meaning "including but not limited to," and can be used interchangeably therewith. The words "or" and "and" used herein refer to the words "and / or" and can be used interchangeably therewith, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to," and can be used interchangeably therewith.

[0071] Additionally, as used herein, "or" used in a list of items beginning with "at least one" indicates a separate list, so that, for example, a list of "at least one of A, B, or C" means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Furthermore, the word "exemplary" does not mean that the example described is preferred or better than other examples.

[0072] It should also be noted that in the system and method of the present disclosure, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present disclosure.

[0073] Various changes, substitutions, and modifications may be made to the technology described herein without departing from the teachings defined by the appended claims. Moreover, the scope of the claims of this disclosure is not limited to the specific aspects of the processes, machines, manufactures, compositions of things, means, methods, and actions described above. Currently existing or later developed processes, machines, manufactures, compositions of things, means, methods, or actions that perform substantially the same function or achieve substantially the same results as the corresponding aspects described herein may be utilized. Accordingly, the appended claims include within their scope such processes, machines, manufactures, compositions of things, means, methods, or actions.

[0074] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the aspects shown herein, but rather to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0075] The above description has been provided for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present disclosure to the forms disclosed herein. Although a number of example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. A network digital twin construction method, comprising: Sending a query request to the first network element, where the query request is used to query relevant information of the target network element; receiving relevant information of the target network element from the first network element; as well as Based on the relevant information of the target network element, a network digital twin function management object instance corresponding to the target network element is generated.

2. The network digital twin construction method according to claim 1, wherein: The generating, based on the relevant information of the target network element, a network digital twin function management object instance corresponding to the target network element comprises: Based on the relevant information of the target network element, generate configuration parameters of the network digital twin function management object instance; and Based on the configuration parameters, the network function of the network digital twin function management object instance is verified.

3. The network digital twin construction method according to claim 2, wherein: The verifying the network function of the network digital twin function management object instance based on the configuration parameters also includes: In the event that the network function verification fails, regenerate the configuration parameters of the network digital twin function management object instance based on the relevant information of the target network element, and execute the steps of verifying the network function of the network digital twin function management object instance; and / or, When the network function verification is successful, the network digital twin function management object instance corresponding to the target network element is generated based on the configuration parameters.

4. The network digital twin construction method according to claim 1, wherein: The first network element includes a management data analysis system network element and / or a network function management function network element, and / or, The query request includes the network element identifier of the target network element and / or the network slice identifier of the network slice to which the target network element belongs.

5. The network digital twin construction method according to any one of claims 1 to 4, wherein: The relevant information of the target network element includes at least one of network model information of the target network element and network parameter information corresponding to the network model information.

6. The network digital twin construction method according to any one of claims 1 to 4, wherein: The generating a network digital twin function management object instance corresponding to the target network element includes: If the network digital twin function management object instance corresponding to the target network element does not exist, create the network digital twin function management object instance; and / or, If a network digital twin function management object instance corresponding to the target network element exists, adjust the network digital twin function management object instance.

7. A network digital twin construction device, comprising: A sending unit, configured to send a query request to the first network element, wherein the query request is used to query relevant information of the target network element; A receiving unit, configured to receive relevant information of the target network element from the first network element; as well as A generation unit is configured to generate a network digital twin function management object instance corresponding to the target network element based on the relevant information of the target network element.

8. The network digital twin construction device according to claim 7, wherein: The generation unit is configured as follows: Based on the relevant information of the target network element, generate configuration parameters of the network digital twin function management object instance; as well as Based on the configuration parameters, the network function of the network digital twin function management object instance is verified.

9. The network digital twin construction device according to claim 8, wherein: The generating unit is further configured as follows: In the event that the network function verification fails, regenerate the configuration parameters of the network digital twin function management object instance based on the relevant information of the target network element, and perform the step of verifying the network function of the network digital twin function management object instance; and / or When the network function verification is successful, the network digital twin function management object instance corresponding to the target network element is generated based on the configuration parameters.

10. The network digital twin construction device according to claim 7, wherein: The first network element includes a management data analysis system network element and / or a network function management function network element, and / or the query request includes the network element identifier of the target network element and / or the network slice identifier of the network slice to which the target network element belongs.

11. The network digital twin construction device according to any one of claims 7 to 10, wherein: The relevant information of the target network element includes at least one of network model information of the target network element and network parameter information corresponding to the network model information.

12. The network digital twin construction device according to any one of claims 7 to 10, wherein: The generation unit is configured as follows: If the network digital twin function management object instance corresponding to the target network element does not exist, create the network digital twin function management object instance; and / or If a network digital twin function management object instance corresponding to the target network element exists, adjust the network digital twin function management object instance.

13. A network element device, comprising: a transceiver, configured to send a query request to a first network element, wherein the query request is used to query relevant information of a target network element, and The first network element receives relevant information of the target network element; as well as A processor is used to generate a network digital twin function management object instance corresponding to the target network element based on the relevant information of the target network element.

14. A non-transitory computer-readable storage medium for storing computer-readable instructions, wherein when the computer-readable instructions are executed by a processor, the processor executes the network digital twin construction method as described in any one of claims 1 to 6.

15. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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