Network management and control method and system, network system, and storage medium

Patent metadata

Field	Value
Publication number	US-12224901-B2
Application number	US-202118552332-A
Country	US
Kind code	B2
Filing date	Nov 24, 2021
Priority date	Mar 26, 2021
Publication date	Feb 11, 2025
Grant date	Feb 11, 2025

Abstract

A network management and control method and system, a network system, and a storage medium are disclosed. The network management and control method may include: acquiring Digital Twin (DT) model data corresponding to physical objects in a physical network (S 110 ); generating, according to the DT model data, DT cases at different levels, wherein the levels of the DT cases correspond to levels of the physical objects, and the DT cases at different levels have a functionally collaborative relationship (S 120 ); obtaining a target analysis result according to the collaborative relationship and all the DT cases (S 130 ); and generating network configuration information according to the target analysis result, and delivering the network configuration information to the physical network so that the physical network implements network management and control according to the network configuration information (S 140 ).

First claim

What is claimed is:

1. A network management and control method, which is applied to a network management and control system, the network management and control method comprising:
acquiring Digital Twin (DT) model data corresponding to physical objects in a physical network;
generating, according to the DT model data, DT cases at different levels, wherein the levels of the DT cases correspond to levels of the physical objects, and the DT cases at different levels have a functionally collaborative relationship;
obtaining a target analysis result according to the collaborative relationship and all the DT cases; and
generating network configuration information according to the target analysis result, and delivering the network configuration information to the physical network so that the physical network implements network management and control according to the network configuration information;
wherein generating, according to the DT model data, the DT cases at different levels comprises:
generating, according to the DT model data and levels of the physical objects, the DT cases in target DT case containers having different container levels, wherein the target DT case containers are determined from preset DT case containers according to a management and control scenario and the levels of the physical objects, wherein the target DT case containers are configured for generating and managing DT cases, and wherein the DT cases generated by the DT case containers having different container levels correspond to the different container levels.

2. The method of claim 1 , wherein acquiring DT model data corresponding to physical objects in a physical network comprises:
determining the management and control scenario, and determining a data requirement according to the management and control scenario; and
acquiring, according to the data requirement, the DT model data corresponding to the physical objects in the physical network.

3. The method of claim 2 , wherein obtaining a target analysis result according to the collaborative relationship and all the DT cases comprises:
performing, according to the collaborative relationship and the container levels corresponding to the target DT case containers, Artificial Intelligence (AI) algorithm-based processing on a DT case generated by a target DT case container having a lower container level to obtain an intermediate analysis result;
reporting the intermediate analysis result to a target DT case container having a higher container level; and performing, according to the intermediate analysis result, the AI algorithm-based processing on a DT case generated by the target DT case container having the higher container level to obtain a collaborative analysis result; and
determining a collaborative analysis result obtained from a target DT case container having a highest container level as the target analysis result.

4. The method of claim 3 , wherein the AI algorithm-based processing comprises:
determining a target AI algorithm from a preset AI algorithm library according to the management and control scenario; and
analyzing and processing the DT case according to the target AI algorithm.

5. The method of claim 2 , wherein the management and control scenario comprises:
acquiring a current operational status of the physical network, and determining the management and control scenario according to the operational status and preset management information.

6. The method of claim 1 , wherein prior to delivering the network configuration information to the physical network so that the physical network implements network management and control according to the network configuration information, the method further comprises:
regenerating, in response to acquiring new DT model data reported by the physical network after performing network management and control according to the network configuration information, the network configuration information according to the new DT model data.

7. The method of claim 1 , wherein after delivering the network configuration information to the physical network so that the physical network implements network management and control according to the network configuration information, the method further comprises:
acquiring and displaying network status information of the physical network after the network management and control is implemented.

8. A network management and control method, which is applied to a data acquisition apparatus communicatively connected to a network management and control system, the network management and control method comprising:
generating Digital Twin (DT) model data corresponding to physical objects in a physical network; and
sending the DT model data to the network management and control system, so that the network management and control system generates network configuration information according to the DT model data, and delivering the network configuration information to the physical network, so that the physical network implements network management and control according to the network configuration information, wherein the network configuration information is generated by the network management and control system according to a target analysis result, the target analysis result is obtained by the network management and control system according to a collaborative relationship and all DT cases at different levels, the DT cases at the different levels are generated by the network management and control system according to the DT model data, the levels of the DT cases correspond to levels of physical objects, and the DT cases at the different levels have a functionally collaborative relationship;
wherein the DT cases are generated in target DT case containers having different container levels according to the DT model data and levels of the physical objects, wherein the target DT case containers are determined from preset DT case containers according to a management and control scenario and the levels of the physical objects, wherein the target DT case containers are configured for generating and managing DT cases, and wherein the DT cases generated by the DT case containers having different container levels correspond to the different container levels.

9. The method of claim 8 , wherein generating DT model data corresponding to physical objects in a physical network comprises:
acquiring a data requirement delivered by the network management and control system, wherein the data requirement is determined by the network management and control system according to the management and control scenario; and
generating, according to the data requirement, the DT model data corresponding to the physical objects in the physical network.

10. The method of claim 9 , wherein after generating DT model data corresponding to physical objects in a physical network, the method further comprises:
updating, in response to detecting a change of a physical parameter and a physical attribute of a physical object in a life cycle of the DT model data, the DT model data according to the changed physical object; and
synchronizing the updated DT model data to the network management and control system, so that the network management and control system obtains the network configuration information according to the updated DT model data.

11. A network management and control system, comprising:
a memory,
a processor, and
a computer program stored in the memory and executable by the processor which, when executed by the processor, causes the processor to perform a network management and control method which is applied to a network management and control system, the network management and control method comprising:
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Assignees

• Zte Corp

Inventors

• Wang Dajiang
• Wang Qilei
• Wang Zhenyu

Classifications

• H04L41/16

  using machine learning or artificial intelligence · CPC title

• H04L41/082

  the condition being updates or upgrades of network functionality · CPC title

• H04L41/122

  of virtualised topologies, e.g. software-defined networks [SDN] or network function virtualisation [NFV] · CPC title

• H04L41/0823

  characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability (for optimising operational conditions of wireless networks H04W24/02) · CPC title

• H04L41/0806 Primary

  for initial configuration or provisioning, e.g. plug-and-play · CPC title