WO2023246090A1 - Image generation method and apparatus for network topological structure, and storage medium - Google Patents

Abstract

The present disclosure provides an image generation method and apparatus for a network topological structure, and a storage medium, and belongs to the field of operation and maintenance management. The method comprises: acquiring in an end-to-end network information of target objects and a connection relationship among the target objects, the target objects comprising network endpoint objects and network link objects used for connecting the network endpoint objects, and the network endpoint objects comprising at least one of a hardware node object and a software system object; and on the basis of a preset network topological structure display rule, according to the information of the target objects and the connection relationship among the target objects, generating a target relationship graph of a network topological structure.

Description

Image generation method, device and storage medium for network topology

Cross-references to related applications

This disclosure claims priority to Chinese patent application CN202210725035.6 titled "Image Generation Method, Device and Storage Medium for Network Topology" submitted on June 24, 2022, the entire content of which is incorporated into this disclosure by reference.

Technical field

The present disclosure relates to the technical field of operation and maintenance management, and in particular to a method, device and storage medium for image generation of a network topology structure.

Background technique

With the continuous development of information technology, especially the in-depth application of 5G technology, various industries are also constantly promoting digital transformation, connecting relevant hardware equipment, software systems, etc. to communication networks, establishing end-to-end business network connections for industries and Enterprises provide network services with higher adaptability. However, the hardware devices and software systems in the communication network are characterized by a large number and variety, and complex and diverse connection relationships. This makes it difficult for administrators to monitor and manage the communication network efficiently, and it is difficult to clearly and intuitively understand the end-to-end network. Technical issues of target objects and connection relationships.

Contents of the invention

The present disclosure provides a method, device and storage medium for image generation of network topology structure, aiming to enable users to clearly and intuitively understand target objects and connection relationships in an end-to-end network.

In a first aspect, the present disclosure provides a method for generating an image of a network topology structure, including: obtaining information about target objects in an end-to-end network and connection relationships between target objects, where the target objects include network endpoint objects, and for A network link object that connects network endpoint objects. The network endpoint object includes at least one of a hardware node object and a software system object; based on the preset network topology display rules, according to the information of the target object and the connection relationship between the target objects. , generate the target relationship diagram of the network topology.

In a second aspect, the present disclosure also provides an image generating device of a network topology structure. The image generating device of a network topology structure includes a processor, a memory, a computer program stored on the memory and executable by the processor, and a computer program for implementing the processor. A data bus communicates with the connection between the computer program and the memory, and when the computer program is executed by the processor, the steps of the image generation method of any network topology provided by the present disclosure are implemented.

In a third aspect, the present disclosure also provides a storage medium for computer-readable storage. The storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the present disclosure. Provides the steps of an image generation method for any network topology.

Description of the drawings

In order to explain the technical solutions of the present disclosure more clearly, the drawings needed to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present disclosure. For ordinary people in the art For technical personnel, other drawings can also be obtained based on these drawings without exerting creative work.

Figure 1 is a schematic flowchart of the steps of a method for generating images of network topology provided by the present disclosure;

Figure 2 is a schematic flowchart of the sub-steps of the image generation method of the network topology in Figure 1;

Figure 3 is a schematic diagram of a scenario for implementing the image generation method of the network topology provided by the present disclosure;

Figure 4 is a schematic diagram of a scenario for implementing the image generation method of the network topology provided by the present disclosure;

Figure 5 is a schematic diagram of a scenario for implementing the image generation method of the network topology provided by the present disclosure;

FIG. 6 is a schematic structural block diagram of an image generation device with a network topology provided by the present disclosure.

Detailed ways

The technical solutions in this disclosure will be clearly and completely described below with reference to the accompanying drawings in this disclosure. Obviously, the described embodiments are part of the embodiments of this disclosure, rather than all embodiments. Based on the embodiments in this disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this disclosure.

The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all contents and operations/steps, nor are they necessarily performed in the order described. For example, some operations/steps can also be decomposed, combined or partially merged, so the actual order of execution may change according to actual conditions.

It should be understood that the terminology used in the description of the disclosure is for the purpose of describing particular embodiments only and is not intended to limit the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly dictates otherwise.

With the continuous development of information technology, especially the in-depth application of 5G technology, various industries are also constantly promoting digital transformation, connecting relevant hardware equipment, software systems, etc. to communication networks, establishing end-to-end business network connections for the industry, and Provide more adaptable network services to enterprises. However, the hardware devices and software systems in communication networks are characterized by a large number and variety, as well as complex and diverse connection relationships. This makes it difficult for managers to monitor and manage communication networks efficiently. There is an urgent need for a clear, fast, and intuitive way to monitor and manage communication networks. A method to present end-to-end business network connection relationships.

The present disclosure provides an image generation method, device and storage medium for a network topology structure. Among them, the image generation method of the network topology structure can be applied to mobile terminals, which can be electronic devices such as mobile phones, tablet computers, notebook computers, desktop computers, personal digital assistants, and wearable devices.

Some embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. The following embodiments and features in the embodiments may be combined with each other without conflict.

Please refer to FIG. 1 , which is a schematic flow chart of a method for generating an image of a network topology structure provided by the present disclosure.

As shown in Figure 1, the image generation method of the network topology structure includes steps S101 to S102.

Step S101. Obtain information about target objects in the end-to-end network and connection relationships between target objects. The target objects include network endpoint objects and network link objects used to connect network endpoint objects. The network endpoint objects include hardware nodes. At least one of an object and a software system object.

In an exemplary embodiment, the image generation method of the network topology can be applied to an end-to-end network, for example, it can be applied to an end-to-end business service network established through a 5G private network. Of course, it is not limited to this, and it is not limited to this. Make limitations.

In an exemplary embodiment, the information of the target object may include basic information such as the type and name of the target object, and may also include operating parameters of the target object, through which the operating status of the target object can be determined.

In an exemplary embodiment, the connection relationship between the target objects can be determined through the port information of the target object. For example, the connection relationship between the target objects is determined by obtaining the target objects connected to each port of the target object.

In an exemplary embodiment, the connection relationship between target objects includes a connection relationship between network endpoint objects, a connection relationship between network link objects, and a connection relationship between network endpoint objects and network link objects. In an exemplary embodiment, the connection relationship between hardware node objects may include a subordinate relationship. For example, a programmable logic controller (Programmable Logic Controller, PLC) may have multiple subordinate hardware node objects. Of course, it is not limited to this. The connection relationship between software system objects may also include a subordinate relationship, which is not limited here.

In an exemplary embodiment, the target objects in the end-to-end network include network endpoint objects and network link objects used to connect the network endpoint objects. Among them, the network endpoint object includes at least one of a hardware node object and a software system object. That is, the end-to-end network may include: a hardware node object and a software system object connected by a network link object, and a network link object connected by a network link object. Any one of a hardware node object and a hardware node object, a software system object connected by a network link object, and a software system object.

In some implementations, step S101 includes: obtaining the network slice corresponding to the network link object, the first connection relationship between the network slices, and the second connection relationship between the network slice and the network endpoint object.

In an exemplary embodiment, network slices (Network Slices) are an on-demand networking method. Network link objects can be virtually sliced according to actual needs to obtain multiple network slices. Logical processing is performed between each network slice. Isolation to connect network link objects to different network endpoint objects.

In an exemplary embodiment, obtain the network slice corresponding to the network link object, as well as the first connection relationship between the network slices and the second connection relationship between the network slice and the network endpoint object, so as to represent the network through the target relationship graph The connection relationships between slices and between network slices and network endpoint objects allow users to more clearly and intuitively understand the cutting status and connection relationships of network link objects.

Step S102: Generate a target relationship diagram of the network topology based on the preset network topology display rules and according to the information of the target object and the connection relationship between the target objects.

Please refer to Figure 2. Figure 2 is a schematic flowchart of the sub-steps of the image generation method of the network topology structure in Figure 1.

In some implementations, as shown in Figure 2, step S102 includes steps S1021-step S1023: obtaining the network link object type, where the type of network link object includes at least one of an access network element and a core network element. ; Determine the network link graphics corresponding to multiple network link objects of the same type; in the target relationship diagram, use network link graphics to represent multiple network link objects of the same type.

In an exemplary embodiment, the network link object may include at least one of an access network element and a core network element. Among them, the access network element is used to collect information about network endpoint objects. The access network element can be a wired access network element or a wireless access network element, and is not limited here; the core network element is used to receive, process, Forward information received on a network endpoint object.

In an exemplary embodiment, different types of network link objects are represented by network link graphs, and network link objects of the same type are summarized into the same network link graph. Users do not need to understand the intricacies of network link objects. You only need to understand the overall situation of network link objects through the network link graph, which reduces the complexity of the target relationship diagram, thereby reducing the time cost for users to manage the end-to-end network.

Please refer to FIG. 3 , which is a schematic diagram of a scenario for implementing the image generation method of the network topology provided by the present disclosure.

In an exemplary embodiment, multiple network link objects of the same type are represented by network link graphics, for example, multiple core network elements are represented by cylinders. As shown in Figure 3, multiple core network elements are represented by cylinders. The form is represented as "core network", which enables users to see the overall situation of network objects at a glance, improving the user's visual experience.

In some embodiments, the type of network link object also includes a base station engine.

In an exemplary embodiment, the base station engine is used to perform edge computing on the received information and deploy cloud resources. Of course It is not limited to this and is not limited here.

In some implementations, step S102 includes: determining a first preset graphic corresponding to the network link object, and determining a second preset graphic corresponding to the network slice; according to the corresponding relationship, the first connection relationship, the second connection relationship, the third A preset graphic and a second preset graphic generate a target relationship diagram of the network topology structure.

In an exemplary embodiment, different graphics are used to represent network link objects and network slices formed by virtual cutting of network link objects, so that users can more clearly and intuitively understand the cutting situation and connection relationships of network link objects.

In an exemplary embodiment, the second preset graphic is displayed relative to the first preset graphic according to the corresponding relationship between the network slice and the network link object. In an exemplary embodiment, since the network slice is obtained by virtually cutting the network link object, the size of the second preset graphic is smaller than the first preset graphic, and is used to represent the second preset graphic of the network slice. A first preset graphic corresponding to the network link object to which the network slice belongs.

As shown in Figure 3, a cylinder is used as the first preset graphic to represent the network link object, and a cuboid running through the cylinder is used as the second preset graphic to represent the network slice, so that the user can clearly and intuitively understand the cutting situation of the network link object and connection relationship.

In some implementations, step S102 includes: obtaining the service type to which the network slice belongs; and determining the position of the network slice in the target relationship graph according to the service type.

Please refer to FIG. 4 , which is a schematic diagram of a scenario for implementing the image generation method of the network topology provided by the present disclosure.

In an exemplary embodiment, as shown in Figure 4, the network link object is virtually cut into multiple network slices. The network slices may belong to different service types and respectively constitute links of each service type.

In an exemplary embodiment, in order to enable users to clearly understand the links corresponding to different service types, network slices belonging to the same service type can be displayed in the same area, and different service types can be distinguished through preset graphics. Taking Figure 4 as an example, the three links formed by the network slice in Figure 4 respectively belong to two service types. The three links are respectively set in two transparent pipes according to the service types.

In some implementations, as shown in Figure 2, step S102 includes steps S1024 to S1025: Obtain hardware node types of multiple hardware node objects; represent multiple hardware node objects of the same type through preset hardware type icons. Type icons are used to represent the type and number of hardware node objects.

In an exemplary embodiment, the end-to-end network may include a large number of hardware node objects. In order to make the target relationship diagram reflect the network topology more clearly, the same type of hardware node objects can be collapsed, that is, by pre- The hardware type icon indicates multiple hardware node objects of the same type. In an exemplary embodiment, the hardware type icon may Hardware node types can be represented graphically, such as cameras, robotic arms, servers and other hardware devices through different preset graphics; the hardware type icon can also represent the number of collapsed hardware node objects through numbers.

As shown in Figure 3, when 32 robotic arms are folded in the end-to-end network, the number "32" can be displayed below the graphic used to represent the robotic arms so that users can understand the number of folded robotic arms.

In some implementations, the method for generating an image of a network topology structure further includes: in response to a selection operation for the hardware type icon, displaying a plurality of hardware node objects represented by the hardware type icon.

In an exemplary embodiment, when the user needs to view the collapsed hardware node object, the user can expand the collapsed hardware node object by selecting the hardware type icon, for example, by clicking the hardware type icon to view the collapsed hardware node object. of multiple hardware nodes.

In some implementations, as shown in Figure 2, step S102 includes steps S1026-S1027: obtain the running status of the target object, the running status includes normal status and alarm status; display the running status of each target object in the target relationship diagram.

In an exemplary embodiment, the running status can be determined by obtaining the running parameters of the target object, but is of course not limited to this and is not limited here.

In an exemplary embodiment, the running status of each target object is displayed in the target relationship diagram, so that the user can clearly and intuitively understand the running status of the target object.

In an exemplary embodiment, the alarm status may include different alarm levels, for example, it may include serious alarm, major alarm, minor alarm, and general alarm. The running status of each target object is displayed in the target relationship diagram, including the target relationship in the target relationship diagram. The figure shows the alarm level of each target object.

In some implementations, displaying the running status of each target object in the target relationship diagram includes: determining display parameters of the target object in the target relationship diagram based on the running status.

In an exemplary embodiment, different running states correspond to different display parameters of the target object in the target relationship diagram. In an exemplary embodiment, the display parameter may be, for example, the color of the target object.

In an exemplary embodiment, determining the display parameters of the target object in the target relationship diagram based on the running status includes determining the display parameters of the target object in the target relationship diagram based on the alarm level. For example, different alarm levels correspond to different colors.

As shown in Figure 4, set the colors corresponding to different running states, and display the running status of each target object through color in the target relationship diagram. For example, you can also set an alarm icon to emphasize the alarm status on the side of the target object. The alarm icon The color identifies the alarm level, allowing users to understand the running status of the target object at a glance.

In an exemplary embodiment, an alarm icon corresponding to the color of "serious alarm" is displayed on one side of the software system object as shown in Figure 4 to remind the user of the running status of the software system object.

Please refer to FIG. 5 , which is a schematic diagram of a scenario for implementing the image generation method of the network topology provided by the present disclosure.

In an exemplary embodiment, as shown in Figure 5, the network link object can be cut into multiple network slices, which are respectively connected to multiple hardware node objects and/or software system objects.

Please refer to FIG. 6 , which is a schematic block diagram of a structure of an image generating device with a network topology provided by the present disclosure.

As shown in Figure 6, the image generation device 300 in the network topology includes a processor 301 and a memory 302. The processor 301 and the memory 302 are connected through a bus 303, such as an I2C (Inter-integrated Circuit) bus.

In an exemplary embodiment, the processor 301 is used to provide computing and control capabilities to support the operation of the image generation device of the entire network topology. The processor 301 can be a central processing unit (Central Processing Unit, CPU). The processor 301 can also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC). ), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general processor may be a microprocessor or the processor may be any conventional processor.

In an exemplary embodiment, the memory 302 may be a Flash chip, a read-only memory (ROM, Read-Only Memory) disk, an optical disk, a USB disk, a mobile hard disk, or the like.

Those skilled in the art can understand that the structure shown in Figure 6 is only a block diagram of a partial structure related to the present disclosure, and does not constitute a limitation on the image generation device of the network topology to which the present disclosure is applied. Specifically, The image generating apparatus of the network topology may include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

Wherein, the processor is used to run a computer program stored in the memory, and when executing the computer program, implement any one of the network topology image generation methods provided by this disclosure.

In one embodiment, the processor is configured to run a computer program stored in the memory, and implement the following steps when executing the computer program:

Obtain information about the target objects in the end-to-end network and the connection relationships between the target objects. The target objects include network endpoint objects and network link objects used to connect network endpoint objects. The network endpoint objects include hardware node objects, software At least one of the system objects;

Based on the preset network topology display rules, according to the information of the target object and the connection relationship between the target objects, Generate a target diagram of the network topology.

In one embodiment, when generating a target relationship diagram of the network topology based on the preset network topology display rules and based on the information of the target object and the connection relationship between the target objects, the processor is used to: obtain the network topology The type of the link object, where the type of the network link object includes at least one of an access network element and a core network element; determine the network link graphics corresponding to multiple network link objects of the same type; in the target relationship diagram In , multiple network link objects of the same type are represented by network link graphics.

In one embodiment, when acquiring information about target objects in the end-to-end network and connection relationships between target objects, the processor is configured to: acquire the network slice corresponding to the network link object, and the network slices between the network slices. The first connection relationship, the second connection relationship between the network slice and the network endpoint object.

In one embodiment, when the processor generates a target relationship diagram of the network topology based on the preset network topology display rules and based on the information of the target object and the connection relationship between the target objects, it is used to: determine the network The first preset graphic corresponding to the link object, and the second preset graphic corresponding to the determined network slice; according to the corresponding relationship, the first connection relationship, the second connection relationship, the first preset graphic and the second preset graphic, generate Target diagram of network topology.

In one embodiment, when generating a target relationship diagram of the network topology based on the preset network topology display rules and based on the information of the target object and the connection relationship between the target objects, the processor is used to: obtain the network topology The service type to which the slice belongs; determine the position of the network slice in the target relationship diagram based on the service type.

In one embodiment, when generating a target relationship diagram of the network topology based on the preset network topology display rules and based on the information of the target object and the connection relationship between the target objects, the processor is used to: obtain multiple The hardware node type of each hardware node object; multiple hardware node objects of the same type are represented by a preset hardware type icon, and the hardware type icon is used to represent the type and quantity of hardware node objects.

In one embodiment, when implementing the image generation method of a network topology structure, the processor is configured to: in response to a selection operation on a hardware type icon, display multiple hardware node objects represented by the hardware type icon.

In one embodiment, when generating a target relationship diagram of the network topology based on the preset network topology display rules and based on the information of the target object and the connection relationship between the target objects, the processor is used to: obtain the target The running status of the object, including normal status and alarm status; the running status of each target object is displayed in the target relationship diagram.

In one embodiment, when displaying the running status of each target object in the target relationship diagram, the processor is configured to: determine the display parameters of the target object in the target relationship diagram based on the running status.

It should be noted that those skilled in the art can clearly understand that for the convenience and simplicity of description, the above For the specific working process of the described image generating device of network topology structure, reference can be made to the corresponding process in the foregoing embodiment of the image generating method of network topology structure, and will not be described again here.

The present disclosure also provides a storage medium for computer-readable storage. The storage medium stores one or more programs. The one or more programs can be executed by one or more processors to implement any of the methods provided by the present disclosure. Steps of image generation method for network topology.

The storage medium may be an internal storage unit of the image generation device with a network topology in the aforementioned embodiment, such as a hard disk or memory of the image generation device with a network topology. The storage medium may also be an external storage device of the image generation device with a network topology, such as a plug-in hard drive, a smart memory card (Smart Media Card, SMC), or a Secure Digital (Secure Digital) equipped on the image generation device with a network topology. SD) card, Flash Card, etc.

The present disclosure provides an image generation method, device and storage medium for a network topology structure. The present disclosure obtains information of target objects in an end-to-end network and connection relationships between target objects, where the target objects include network endpoint objects, and A network link object that connects network endpoint objects. The network endpoint object includes at least one of a hardware node object and a software system object; based on the preset network topology display rules, according to the information of the target object and the connection relationship between the target objects. , generate the target relationship diagram of the network topology. The technical solution of the present disclosure enables users to clearly and intuitively understand the hardware nodes, software systems, network links and their connection relationships in the end-to-end network, facilitates users to manage target objects in the end-to-end network, and reduces the user's burden on the end-to-end network. end network management costs.

Those of ordinary skill in the art can understand that all or some steps, systems, and functional modules/units in the devices disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementations, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may consist of several physical components. Components execute cooperatively. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit . Such software may be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As is known to those of ordinary skill in the art, the term computer storage media includes volatile and nonvolatile media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. removable, removable and non-removable media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disk (DVD) or other optical disk storage, magnetic cassettes, tapes, disk storage or other magnetic storage devices, or may Any other medium used to store the desired information and that can be accessed by a computer. Furthermore, as is known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery medium.

The above serial numbers of the present disclosure are only for description and do not represent the advantages and disadvantages of the embodiments. The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any person familiar with the technical field can easily think of various equivalent methods within the technical scope disclosed in the present disclosure. Modifications or substitutions, these modifications or substitutions should be covered by the protection scope of this disclosure. Therefore, the protection scope of the present disclosure should be subject to the protection scope of the claims.

Claims (11)

1. An image generation method of network topology, including:

   Obtain information about target objects in the end-to-end network and connection relationships between the target objects, where the target objects include network endpoint objects and network link objects used to connect the network endpoint objects. The endpoint object includes at least one of a hardware node object and a software system object;

   Based on the preset network topology structure display rules and according to the information of the target object and the connection relationship between the target objects, a target relationship diagram of the network topology structure is generated.
2. The image generation method of network topology according to claim 1, wherein the preset network topology display rules are based on the information of the target object and the connection relationship between the target objects. The target relationship diagram of the network topology, including:

   Obtain the type of the network link object, where the type of the network link object includes at least one of an access network element and a core network element;

   Determine network link graphics corresponding to multiple network link objects of the same type;

   In the target relationship diagram, multiple network link objects of the same type are represented by the network link graph.
3. The method for generating an image of a network topology structure according to claim 2, wherein the type of the network link object further includes: a base station engine.
4. The image generation method of network topology according to claim 1, wherein said obtaining the information of target objects in the end-to-end network and the connection relationship between the target objects includes:

   Obtain the network slice corresponding to the network link object, as well as the first connection relationship between the network slices and the second connection relationship between the network slice and the network endpoint object;

   The method is based on the preset network topology display rules and based on the information of the target object and the connection relationship between the target objects, and generates a target relationship diagram of the network topology, including:

   Determine a first preset graphic corresponding to the network link object, and determine a second preset graphic corresponding to the network slice;

   According to the corresponding relationship, the first connection relationship, the second connection relationship, the first preset graphic and the second preset graphic, a target relationship diagram of the network topology structure is generated.
5. The method for generating an image of a network topology structure according to claim 4, wherein the preset network topology structure display rules are based on the information of the target object and the connection relationship between the target objects. network The target relationship diagram of the topology, including:

   Obtain the service type to which the network slice belongs;

   According to the service type, the position of the network slice in the target relationship graph is determined.
6. The image generation method of network topology according to claim 1, wherein the preset network topology display rules are based on the information of the target object and the connection relationship between the target objects. The target relationship diagram of the network topology, including:

   Obtain the hardware node types of multiple hardware node objects;

   Multiple hardware node objects of the same type are represented by a preset hardware type icon, and the hardware type icon is used to represent the type and quantity of the hardware node objects.
7. The image generation method of network topology according to claim 6, wherein the method further includes:

   In response to a selection operation on the hardware type icon, a plurality of the hardware node objects represented by the hardware type icon are displayed.
8. The image generation method of network topology according to claim 1, wherein the preset network topology display rules are based on the information of the target object and the connection relationship between the target objects. The target relationship diagram of the network topology, including:

   Obtain the running status of the target object, the running status includes normal status and alarm status;

   The running status of each target object is displayed in the target relationship diagram.
9. The image generation method of network topology according to claim 8, wherein displaying the running status of each target object in the target relationship diagram includes:

   According to the running status, the display parameters of the target object in the target relationship diagram are determined.
10. A network topology display device, including a processor, a memory, a computer program stored on the memory and executable by the processor, and data for realizing connection communication between the processor and the memory A bus, wherein when the computer program is executed by the processor, the steps of the image generation method of the network topology according to any one of claims 1 to 9 are implemented.
11. A storage medium for computer-readable storage, the storage medium stores one or more programs, the one or more programs can be executed by one or more processors to implement any of claims 1 to 9 A step of the image generation method of the network topology structure.