Digital twin network closed-loop control method, device and equipment and storage medium
Through the digital twin network closed-loop control method that receives construction requests and generates control strategies, the lack of digital twin network construction and closed-loop control is solved, efficient network deployment and stable operation are achieved, and the implementation and application of digital twin networks is promoted.
Patent Information
- Application Number
- CN202410070085.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-17
- Publication Date
- 2025-07-18
AI Technical Summary
In the prior art, there is a lack of effective solutions for the construction method and closed-loop control process of digital twin networks, which makes it difficult to implement its working model.
It provides a closed-loop control method for digital twin networks, which deploys digital twin model instances by receiving construction requests and generates control strategies for closed-loop control, including information interaction between digital twin model instances and resource deployment strategies between physical entities, and supports adjustment of model deployment and closed-loop monitoring.
It has realized the efficient deployment and stable operation of the digital twin network, improved the reliability of network decision-making and deployment, and promoted the implementation of the working model of the digital twin network.
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Figure CN120342886A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of mobile communications, and more particularly, to a closed-loop control method, apparatus, device, and storage medium for a digital twin network. Background Art
[0002] A digital twin network is a partial or complete twin mirror of a network ontology through the mapping of a cyber-physical entity object in a virtual space, enabling low-cost trial and error, intelligent decision-making, and high-efficiency innovation of the network.
[0003] The research on the construction method and key technologies of the digital twin network for 6G is still in its infancy. Currently, there is a lack of a digital twin network construction method and a further closed-loop control process scheme for the digital twin network, making it difficult to implement the working mode of the digital twin network. Summary of the Invention
[0004] To solve the above problems, the present invention proposes a closed-loop control method, apparatus, device, and storage medium for a digital twin network, which can promote the implementation of the working mode of the digital twin network.
[0005] An embodiment of the present invention provides a closed-loop control method for a digital twin network, the method comprising:
[0006] Deploying a digital twin model instance according to a received digital twin network construction request;
[0007] Generating a control strategy according to a received twin task request, and performing closed-loop control on the deployed digital twin network based on the control strategy; the control strategy includes information interaction between digital twin model instances and a resource deployment strategy between the twin network and physical entities.
[0008] Preferably, the deploying a digital twin model instance according to a received digital twin network construction request includes:
[0009] Performing twin service requirement analysis according to the received digital twin network construction request to obtain an analysis result;
[0010] Determining a twin physical object according to the analysis result and the obtained networking information of the physical network to obtain an orchestration result;
[0011] Determining a digital twin network list and a model acquisition method according to the orchestration result;
[0012] Obtaining a digital twin model instance according to the digital twin network list and the model acquisition method, and generating a model deployment strategy;
[0013] Attempt to deploy the digital twin model instance according to the model deployment strategy, and readjust the deployment strategy after the deployment fails; Re-attempt to deploy the digital twin model instance until the deployment is successful.
[0014] As a preferred solution, generating a control strategy according to the received twin task request and performing closed-loop control on the deployed digital twin network based on the control strategy includes:
[0015] Generate a control strategy for the digital twin network according to the twin task request;
[0016] Pre-verify the control strategy in the deployed twin environment according to the preset verification passing conditions, and obtain network entity information after the verification passes, confirm the computing resources and the support required by the computing functions, trigger the operation of the entity network, and obtain entity network information;
[0017] Start closed-loop monitoring between the twin network and the entity network according to the entity network information and the twin network information.
[0018] Further, after starting the closed-loop monitoring, the method further includes:
[0019] After detecting the occurrence of a preset abnormal situation during closed-loop monitoring, adjust the control strategy or suspend the system operation.
[0020] As a preferred solution, the verification passing conditions include that the network delay is lower than a preset delay threshold and / or meets the preset network performance requirements.
[0021] Preferably, the physical object includes network functions and hardware resource objects;
[0022] The digital twin network list includes network function models and hardware resource object models.
[0023] Preferably, the twin network information includes twin model information, mode instance running status information, and control strategy information;
[0024] The resource deployment strategy includes twin model information, network entity information, transmission delay, bandwidth, data acquisition frequency, and QoS.
[0025] An embodiment of the present invention provides a digital twin network closed-loop control device, and the device includes:
[0026] A model deployment module, configured to deploy a digital twin model instance according to a received digital twin network construction request;
[0027] A closed-loop control module, which is used to generate a control strategy according to the received twin task request and perform closed-loop control on the deployed digital twin network based on the control strategy; the control strategy includes information interaction between digital twin model instances and resource deployment strategies between the twin network and physical entities.
[0028] The model deployment module includes:
[0029] A twin task access functional unit, which is used to analyze the twin service requirements according to the received digital twin network construction request to obtain an analysis result;
[0030] A twin object orchestration functional unit, which is used to determine the physical objects to be twinned according to the analysis result and the obtained networking information of the physical network to obtain an orchestration result;
[0031] A twin object control functional unit, which is used to determine the digital twin network list and model acquisition method according to the orchestration result;
[0032] A twin model management functional unit, which is used to obtain digital twin model instances according to the digital twin network list and the model acquisition method and generate a model deployment strategy;
[0033] A twin object operation functional unit, which is used to attempt to deploy the digital twin model instances according to the model deployment strategy, readjust the deployment strategy after the deployment fails; and retry to deploy the digital twin model instances until the deployment is successful.
[0034] Preferably, the closed-loop control module includes:
[0035] A twin object control functional unit, which is used to generate a control strategy for the digital twin network according to the twin task request;
[0036] A twin object operation functional unit, which is used to pre-verify the control strategy in the deployed twin environment according to the preset verification passed condition, obtain network entity information after the verification passes, confirm the computing resources and the support required by the computing function, and trigger the operation of the entity network to obtain entity network information;
[0037] A twin task closed-loop functional unit, which is used to start closed-loop monitoring between the twin network and the entity network according to the entity network information and the twin network information.
[0038] Furthermore, the twin task closed-loop functional unit is further used for:
[0039] After detecting the occurrence of a preset abnormal situation, adjusting the control strategy or suspending the system operation.
[0040] Preferably, the verification passing conditions include that the network delay is lower than a preset delay threshold and / or meet the preset network performance requirements.
[0041] Preferably, the physical objects include network functions and hardware resource objects;
[0042] The digital twin network list includes network function models and hardware resource object models.
[0043] Preferably, the twin network information includes twin model information, mode instance running status information, and control policy information;
[0044] The resource deployment policy includes twin model information, network entity information, transmission delay, bandwidth, data acquisition frequency, and QoS.
[0045] An embodiment of the present invention also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the digital twin network closed-loop control method described in any one of the above embodiments.
[0046] An embodiment of the present invention also provides a computer-readable storage medium, which includes a stored computer program. When the computer program runs, it controls the device where the computer-readable storage medium is located to execute the digital twin network closed-loop control method described in any one of the above embodiments.
[0047] A digital twin network closed-loop control method, device, equipment, and storage medium provided by the present invention deploy digital twin model instances according to a received digital twin network construction request; generate a control policy according to a received twin task request, and perform closed-loop control on the deployed digital twin network based on the control policy; the control policy includes information interaction between digital twin model instances and a resource deployment policy between the twin network and physical entities. The digital twin network closed-loop control method provided by this application can promote the implementation of the digital twin network working mode. BRIEF DESCRIPTION OF THE DRAWINGS
[0048] Figure 1 is a flowchart of a digital twin network closed-loop control method provided by an embodiment of the present invention;
[0049] Figure 2 is a structural diagram of a digital twin network closed-loop control device provided by an embodiment of the present invention;
[0050] Figure 3 is a flowchart of the work performed by the digital twin network closed-loop control device provided by an embodiment of the present invention;
[0051] Figure 4 It is a schematic structural diagram of a terminal device provided by an embodiment of the present invention. Specific embodiments
[0052] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.
[0053] The embodiment of the present invention provides a digital twin network closed-loop control method. Refer to Figure 1 , which is a schematic flowchart of a digital twin network closed-loop control method provided by an embodiment of the present invention. The method includes the following steps:
[0054] Step S1, deploy a digital twin model instance according to the received digital twin network construction request;
[0055] Step S2, generate a control strategy according to the received twin task request, and perform closed-loop control on the deployed digital twin network based on the control strategy; the control strategy includes information interaction between digital twin model instances, and resource deployment strategies between the twin network and physical entities.
[0056] During the specific execution of this embodiment, the digital twin Consumer initiates a digital twin network construction request, obtains a digital twin model instance in response to the received digital twin network construction request; and deploys the obtained data twin model instance.
[0057] After successful deployment, generate a control strategy for the data twin model instance according to the received twin task request, where the control strategy includes information interaction between digital twin model instances, and resource deployment strategies between the twin network and physical entities.
[0058] The control strategy includes information interaction between model instances, such as signaling transmission and request parameters between different network functions such as AMF, SMF, and UPF.
[0059] Perform closed-loop control on the deployed digital twin network according to the control strategy. Through information interaction between digital twin model instances and resource deployment strategies between the twin network and physical entities, all network functions can build corresponding network function twins as needed. The twins can interact with the real physical network in real time, restore the operating state and environment of the real physical network through modeling and mapping, perform pre-verification before network deployment, and thus provide the optimal network strategy solution, improving the reliability of network decision-making and deployment.
[0060] This application provides a process from digital twin task initiation to closed-loop control of twin tasks, which analyzes business requirements and maps them to network resources to achieve deployment management of communication, data, and computing resources. It helps standardize research in the digital twin network design phase and is very meaningful for the implementation of digital twin network construction technology.
[0061] In another embodiment provided by the present invention, the implementation process of step S1 includes the following steps:
[0062] After receiving a digital twin network construction request, perform twin business demand analysis on the digital twin network construction request.
[0063] Based on the business demand analysis results and the acquired physical network networking information, a comprehensive analysis is performed to determine the physical objects that need to be twinned and obtain the orchestration results.
[0064] Determine the required digital twin model list and model acquisition method based on the orchestration results.
[0065] Obtain a digital twin model instance according to the digital twin network list and model acquisition method, and generate a model deployment strategy corresponding to the digital twin model instance;
[0066] Try to deploy the digital twin model instance according to the model deployment strategy. If the deployment fails, readjust the deployment strategy and redeploy the model until the digital twin model instance is successfully deployed.
[0067] By collecting node status information (such as communication status, data / computing resources, etc.) reported by each communication control function, data function and computing function, resource deployment and business orchestration strategies are issued to the communication, data and computing functions, such as the selection of data and computing nodes and the allocation of communication and computing resources of each node, digital twin model instances are obtained, and model deployment strategies are generated to complete model deployment and improve model deployment efficiency.
[0068] In another embodiment of the present invention, the process of implementing step S2 specifically includes the following steps:
[0069] Generate digital twin network control strategies based on the acquired twin task requests. The control strategies include information interaction between digital twin model instances and resource deployment strategies between twin networks and physical entities.
[0070] Pre-verify the control strategy in the deployed twin environment according to the preset verification pass conditions and control strategy;
[0071] After the control strategy is verified, the network entity information and twin network information of the digital twin network are obtained to prepare for the execution of closed-loop monitoring between the twin network and the physical network.
[0072] Confirm the computing resources and the support required by the computing function, trigger the operation of the entity network, and obtain entity network information;
[0073] Start the closed-loop monitoring between the digital twin network and the entity network according to the network entity information and the digital twin network information.
[0074] By verifying the control strategy, the effectiveness of the control strategy can be guaranteed, and the accuracy of the closed-loop monitoring can be improved.
[0075] In another embodiment provided by the present invention, after starting the closed-loop monitoring between the digital twin network and the entity network according to the entity network information and the digital twin network information, the method further includes:
[0076] After detecting a preset abnormal situation during the closed-loop monitoring, adjust the control strategy or suspend the system operation.
[0077] After detecting an abnormality in the closed-loop monitoring, the control strategy can be actively adjusted or the system operation can be suspended to maintain the stable operation of the system.
[0078] In another embodiment provided by the present invention, the verification pass conditions include that the network delay is lower than a preset delay threshold and / or meets the preset network performance requirements.
[0079] That is, when the network delay is lower than the preset delay threshold, it indicates that the control strategy verification is passed;
[0080] Or, when the digital twin environment is running and meets the preset network performance requirements, it indicates that the control strategy verification is passed;
[0081] Or, the network delay is lower than the preset delay threshold, and when the digital twin environment is running, it meets the preset network performance requirements, which indicates that the control strategy verification is passed.
[0082] Pre-verify the control strategy through network delay and network performance requirements to ensure the network quality of the digital twin environment under the control strategy.
[0083] In another embodiment provided by the present invention, the physical objects include network functions and hardware resource objects;
[0084] The digital twin network list includes network function models and hardware resource object models.
[0085] Specifically, for the construction requirements of the digital twin network, the physical objects to be twinned include network functions such as AMF, SMF, and UPF, and can also include hardware resource objects such as routers and switches.
[0086] For the needs of digital twin network construction, the digital twin network list needs to obtain network function models such as AMF, SMF, UPF, etc., and hardware resource object models such as routers and switches. The twin object control function sends a request to the twin model management function to obtain model instances from the data function.
[0087] Network functions and hardware resource objects are physical objects, and twin objects cover network functions and hardware resources.
[0088] In another embodiment provided by the present invention, the twin network information includes twin model information, mode instance running status information, and control strategy information;
[0089] The resource deployment strategy includes twin model information, network entity information, transmission delay, bandwidth, data collection frequency, and QoS.
[0090] Specifically, the twin network information includes twin model information, mode instance running status information, control strategy information, etc.
[0091] The resource deployment strategy between the twin network and the physical entity includes twin model information, required network entity information, transmission delay, bandwidth, data collection frequency, and QoS, etc.
[0092] This application conducts a detailed design on the digital twin function, the interaction between the data plane and the computing plane, the digital twin network construction method, and the closed-loop control process. Studying the working mode of the digital twin network is very meaningful for the implementation and application of the digital twin network construction technology.
[0093] In another embodiment provided by the present invention, see Figure 2 , which is a schematic structural diagram of a digital twin network closed-loop control device provided by an embodiment of the present invention. The device includes:
[0094] A model deployment module, configured to deploy digital twin model instances according to the received digital twin network construction request;
[0095] A closed-loop control module, configured to generate a control strategy according to the received twin task request, and perform closed-loop control on the deployed digital twin network based on the control strategy; the control strategy includes information interaction between digital twin model instances, and a resource deployment strategy between the twin network and the physical entity.
[0096] See Figure 3 , which is a schematic flowchart of the work executed by the digital twin network closed-loop control device provided by an embodiment of the present invention. The model deployment module specifically includes:
[0097] A digital twin Consumer unit, which initiates a digital twin network construction request.
[0098] The twin task access functional unit, in response to the received digital twin network construction request, conducts an analysis of twin service requirements, obtains the analysis result, and sends the analysis result to the twin object orchestration functional unit;
[0099] The twin object orchestration functional unit receives the analysis result, conducts a comprehensive analysis based on the analysis result and the obtained networking information of the physical network, determines the physical objects to be twinned as the orchestration result, and sends it to the twin object control functional unit;
[0100] The twin object control functional unit determines the required digital twin model list and model acquisition method according to the orchestration result, and sends a model acquisition instruction to the twin model management functional unit according to the digital twin network list and model acquisition method;
[0101] The twin model management functional unit, upon receiving the model acquisition instruction sent by the twin object control function, requests to obtain a model instance from the data functional unit through the data node connected externally to the device; accepts the data twin model instance returned by the data functional unit, and generates a model deployment strategy; sends the digital twin model instance and the model deployment strategy to the twin object operation functional unit;
[0102] The data functional unit is responsible for implementing functions such as twin data collection, data cleaning, data desensitization, and data storage according to the task orchestration result and resource deployment strategy issued by the digital twin orchestration and management functional unit. At the same time, the data functional unit is responsible for storing the pre-trained initial models such as entity models, rule models, business models, and behavior models required for constructing the digital twin network for the computing functional unit to call.
[0103] The twin object operation functional unit attempts to deploy the digital twin model instance according to the model deployment strategy. After the deployment fails, it notifies the twin object control functional unit to re-orchestrate the result, thereby controlling the twin model management functional unit to adjust the deployment strategy and re-perform the model deployment until the deployment is successful; and notifies the twin object control functional unit after the deployment is successful.
[0104] The digital twin orchestration and management functional unit, as the digital twin network control center, can conduct global control, and map its business requirements to network resources through analysis to achieve the deployment management of communication, data, and computing resources. The digital twin orchestration and management functional unit can collect the node status information (such as communication status, data / computing resources, etc.) reported by the communication control functional unit, data functional unit, and computing functional unit, and send resource deployment and business orchestration strategies to the communication, data, and computing functions, such as the selection of data and computing nodes and the allocation of communication and computing resources for each node.
[0105] The communication control function unit implements communication control according to the task orchestration result and resource deployment strategy issued by the digital twin orchestration and management function unit, and conducts participation node control (such as network entities that need to be twinned, etc.), digital twin mode control (start and end times of network entity information collection, sampling period), and transmission control (transmission delay, bandwidth, QoS, etc.).
[0106] The computing function unit is responsible for computing power scheduling and control, and reports the computing power of network nodes (computing nodes) outside the device to the digital twin orchestration and management function unit in real time, and implements the scheduling of computing resources based on the resource deployment strategy issued by the digital twin orchestration and management function unit. The device supports multi-point collaboration between computing nodes to provide information processing capabilities for the communication and digital twin orchestration and management function units.
[0107] The closed-loop control module specifically includes:
[0108] The twin object control function unit, after receiving the model deployment success notification, generates a control strategy for the digital twin network according to the received twin task request; and issues the digital twin network control strategy to the twin object operation function unit.
[0109] The twin object operation function unit pre-verifies the control strategy in the deployed twin environment according to the verification passed condition, and judges whether the verification passes; after the verification passes, it obtains the twin network information of the digital twin network; periodically issues the twin network information to the twin task closed-loop function unit; and prepares for implementing the closed-loop monitoring between the twin network and the physical network.
[0110] Synchronously issue the resource deployment strategy between the twin network and the physical entity to the communication control function unit,
[0111] The communication control function unit conducts participation node control (such as network entities that need to be twinned, etc.), digital twin mode control (start and end times of network entity information collection, sampling period), transmission control (transmission delay, bandwidth, QoS, etc.) according to the control strategy issued by the twin object control function unit, and at the same time establishes communication with the data function to obtain network entity information, establishes communication with the computing function to confirm the computing resources and the support required from the computing function, triggers the operation of the physical network, and sends the physical network information to the twin task closed-loop function unit.
[0112] The twin task closed-loop function unit starts the closed-loop monitoring between the twin network and the physical network according to the physical network information and the twin network information.
[0113] Implement communication control according to the task scheduling result and resource deployment strategy issued by the digital twin orchestration management functional unit, participate in node control, digital twin mode control, and transmission control, and comprehensively conduct closed-loop monitoring of the twin network and the physical network.
[0114] The digital twin network closed-loop control device provided in this embodiment can execute all steps and functions of the digital twin network closed-loop control method provided in any of the above embodiments, and the specific functions of this device will not be elaborated here.
[0115] See Figure 4 , which is a schematic structural diagram of a terminal device provided in an embodiment of the present invention. The terminal device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, such as a digital twin network closed-loop control program. When the processor executes the computer program, the steps in each of the above embodiments of the digital twin network closed-loop control method are implemented, such as Figure 1 the steps S1 to S2 shown. Alternatively, when the processor executes the computer program, the functions of each module in each of the above device embodiments are implemented.
[0116] Exemplarily, the computer program can be divided into one or more modules. The one or more modules are stored in the memory and executed by the processor to complete the present invention. The one or more modules can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program in the digital twin network closed-loop control device. For example, the computer program can be divided into several modules, and the specific functions of each module have been described in detail in the digital twin network closed-loop control method provided in any of the above embodiments, and the specific functions of this device will not be elaborated here.
[0117] The terminal device can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the schematic diagram is only an example of the terminal device, and does not constitute a limitation on the digital twin network closed-loop control device. It may include more or fewer components than shown, or combine certain components, or different components. For example, the terminal device may further include input / output devices, network access devices, a bus, etc.
[0118] The so-called processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the digital twin network closed-loop control device, and connects all parts of the digital twin network closed-loop control device through various interfaces and circuits.
[0119] The memory can be used to store the computer programs and / or modules. The processor realizes various functions of the digital twin network closed-loop control device by running or executing the computer programs and / or modules stored in the memory, and by calling the data stored in the memory. The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.
[0120] Among them, if the modules integrated in the digital twin network closed-loop control device are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-described embodiment methods of the present invention, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc.
[0121] It should be noted that for those of ordinary skill in the art in the technical field of the present invention, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements are also regarded as the protection scope of the present invention.
Claims
1. A closed-loop control method for a digital twin network, characterized in that, The method includes: Deploying a digital twin model instance according to a received digital twin network construction request; Generating a control strategy according to a received twin task request, and performing closed-loop control on the deployed digital twin network based on the control strategy; the control strategy includes information interaction between digital twin model instances and a resource deployment strategy between the twin network and physical entities.
2. The digital twin network closed-loop control method according to claim 1, wherein The deploying of the digital twin model instance according to the received digital twin network construction request includes: Performing twin service requirement analysis according to the received digital twin network construction request to obtain an analysis result; Determining a physical object to be twinned according to the analysis result and the obtained networking information of the physical network to obtain an orchestration result; Determining a digital twin network list and a model acquisition method according to the orchestration result; Obtaining digital twin model instances according to the digital twin network list and the model acquisition method, and generating a model deployment strategy; Attempting to deploy the digital twin model instance according to the model deployment strategy, and readjusting the deployment strategy after the deployment fails; retrying to deploy the digital twin model instance until the deployment is successful.
3. The digital twin network closed-loop control method according to claim 1, characterized in that The generating of the control strategy according to the received twin task request and performing closed-loop control on the deployed digital twin network based on the control strategy includes: Generating a control strategy for the digital twin network according to the twin task request; Pre-verifying the control strategy in the deployed twin environment according to a preset verification passing condition, and obtaining network entity information after the verification passes, confirming computing resources and the support required for computing functions, and triggering the operation of the entity network to obtain entity network information; Starting closed-loop monitoring between the twin network and the entity network according to the entity network information and the twin network information.
4. The digital twin network closed-loop control method according to claim 3, wherein, After starting the closed-loop monitoring, the method further includes: After detecting the occurrence of a preset abnormal situation, adjusting the control strategy or suspending the system operation.
5. The digital twin network closed-loop control method according to claim 3, wherein The verification passing condition includes that the network delay is lower than a preset delay threshold and / or meets a preset network performance requirement.
6. The digital twin network closed-loop control method according to claim 2, wherein The physical object includes network functions and hardware resource objects; The digital twin network list includes network function models and hardware resource object models.
7. The digital twin network closed-loop control method according to claim 3, characterized in that The twin network information includes twin model information, mode instance running state information, and control strategy information; The resource deployment strategy includes twin model information, network entity information, transmission delay, bandwidth, data acquisition frequency, and QoS.
8. A closed-loop control device for a digital twin network, characterized in that The device includes: A model deployment module for deploying a digital twin model instance according to a received digital twin network construction request; A closed-loop control module for generating a control strategy according to a received twin task request and performing closed-loop control on the deployed digital twin network based on the control strategy; the control strategy includes information interaction between digital twin model instances and a resource deployment strategy between the twin network and physical entities.
9. A terminal device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the digital twin network closed-loop control method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored computer program, wherein when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the digital twin network closed-loop control method according to any one of claims 1 to 7.