TWI862392B - Electronic device and method for generating topology of enterprise private network - Google Patents

Abstract

An electronic device and a method for generating a topology of an enterprise private network are provided. The method includes: obtaining a plurality of network element topology configuration; accessing the enterprise private network to obtain management information of a first system; accessing the first system according to the management information to obtain a private network resource table of a first network element in the first system; outputting a deployment type of the first system according to the management information and the private network resource table by a machine learning model; selecting a first network element topology configuration corresponding to the deployment type from the plurality of network element topology configuration, and generating a network element topology according to the first network element topology configuration; and displaying the network element topology via a graphical user interface.

Description

Electronic device and method for generating topology diagram of enterprise private network

The present invention relates to a method for managing machine resources, and in particular to an electronic device and method for generating a topology diagram of an enterprise private network.

The deployment method of 5G enterprise private network environment may be affected by the different industries, usage requirements or customized requirements of users (enterprises). After the private network deployment is completed, in order to ensure the normal function of network equipment and terminal connections in the private network environment, the private network environment needs to be monitored. Generally speaking, users will use services provided by monitoring service providers or adopt open source software to perform related monitoring tasks, and topology diagrams are essential tools for monitoring an IT environment. However, traditional network topology-related technologies are relatively lacking in comprehensiveness in monitoring 5G enterprise private network environments. It is also less flexible when facing different private network environment architectures. If all devices and network elements are simply placed on the topology diagram, it will be difficult for users to understand and find the target device quickly.

The present invention provides an electronic device and method for generating a topology map of an enterprise private network, which can automatically generate a geographical location topology map, a network element topology map, and a device topology map for the enterprise private network.

The present invention provides an electronic device for generating a topology diagram of an enterprise private network, comprising a processor, a storage medium and a transceiver. The transceiver is communicatively connected to the enterprise private network. The storage medium stores multiple modules and multiple network element topology configurations. The processor is coupled to the storage medium and the transceiver, and accesses and executes multiple modules, wherein the multiple modules include a resource management module, a resource collection module, a topology management module and a topology display module. The resource management module accesses the enterprise private network to obtain management information related to a first system. The resource collection module accesses the first system according to the management information to obtain a private network resource table related to a first network element in the first system. The topology management module uses a machine learning model to output the deployment type of the first system according to the managed information and the private network resource table, selects a first network element topology configuration corresponding to the deployment type from multiple network element topology configurations, and generates a network element topology diagram of the first system according to the first network element topology configuration. The topology display module displays the network element topology diagram through a graphical user interface.

In one embodiment of the present invention, the network element topology diagram includes a first node corresponding to a first network element, a second node corresponding to a second network element of the first system, and a line segment connecting the first node and the second node.

In one embodiment of the present invention, the topology display module displays a device topology diagram of multiple devices associated with the first network element in response to a user instruction to select the first node on the network element topology diagram.

In one embodiment of the present invention, the above-mentioned topology management module performs feature extraction on the private network resource table to obtain the provider identification code corresponding to the first system, and selects the first network element topology configuration from multiple network element topology configurations corresponding to the provider identification code.

In one embodiment of the present invention, the storage medium further stores a device topology diagram corresponding to the vendor identification code and multiple devices in the first network element, and the private network resource table includes management information of the first device among the multiple devices, wherein in response to a user instruction, a node corresponding to the first device on the device topology diagram is selected, and the topology display module displays the management information through a graphical user interface.

In one embodiment of the present invention, the above-mentioned multiple modules further include an alarm module. The alarm module determines whether the management information is abnormal, and in response to determining that the management information is abnormal, displays a first alarm message corresponding to the first device on the device topology map.

In one embodiment of the present invention, the above-mentioned alarm module displays a second alarm message corresponding to the first network element on the network element topology diagram in response to judging that the management information is abnormal.

In one embodiment of the present invention, the above-mentioned alarm module displays a third alarm message corresponding to the first location where the first system is located on the geographical location topology map in response to judging that the management information is abnormal.

In one embodiment of the present invention, the above-mentioned managed information includes the first location information of the first system and the second location information of the second system in the enterprise private network, and the machine learning model further outputs a multi-location indicator, wherein in response to the multi-location indicator indicating that the enterprise private network is distributed in multiple locations, the topology management module generates a geographical location topology map according to the first location information and the second location information, wherein the topology display module displays the geographical location topology map through a graphical user interface.

In one embodiment of the present invention, the geographic location topology diagram includes a node corresponding to the first location where the first system is located, wherein the node is selected in response to a user instruction, and the topology display module displays the network element topology diagram of the first system through a graphical user interface.

In one embodiment of the present invention, the storage medium further stores a lookup table containing a system identification code, wherein the resource management module periodically detects a first system matching the system identification code in the enterprise private network to obtain management information related to the first system.

The method for generating a topology diagram of an enterprise private network of the present invention comprises: obtaining multiple network element topology configurations; accessing the enterprise private network to obtain management information related to a first system; accessing the first system according to the management information to obtain a private network resource table related to a first network element in the first system; using a machine learning model to output a deployment type of the first system according to the management information and the private network resource table; selecting a first network element topology configuration corresponding to the deployment type from multiple network element topology configurations, and generating a network element topology diagram of the first system according to the first network element topology configuration; and displaying the network element topology diagram through a graphical user interface.

Based on the above, the electronic device of the present invention can classify all 5G enterprise private network environments and design corresponding presentation methods. The exclusive topology of the enterprise private network can cover the internal equipment of the 5G private network including user equipment (UE), terminal equipment, 4G/5G base stations, network equipment, edge computing (multi-access edge computing, MEC) devices and their applications (APP), core networks and their network elements, etc. Users can view the status of the enterprise private network and related fault alarms through the graphical user interface provided by the electronic device.

FIG1 shows a schematic diagram of an electronic device 100 for generating a topology diagram of an enterprise private network according to an embodiment of the present invention. The electronic device 100 may include a processor 110, a storage medium 120, and a transceiver 130.

The processor 110 is, for example, a central processing unit (CPU), or other programmable general-purpose or special-purpose micro control unit (MCU), microprocessor, digital signal processor (DSP), programmable controller, application specific integrated circuit (ASIC), graphics processing unit (GPU), image signal processor (ISP), image processing unit (IPU), arithmetic logic unit (ALU), complex programmable logic device (CPLD), field programmable gate array (FPGA), or other similar components or combinations of the above components. The processor 110 may be coupled to the storage medium 120 and the transceiver 130, and access and execute multiple modules and various applications stored in the storage medium 120.

The storage medium 120 is, for example, any type of fixed or removable random access memory (RAM), read-only memory (ROM), flash memory, hard disk drive (HDD), solid state drive (SSD) or similar components or a combination of the above components, and is used to store multiple modules or various applications that can be executed by the processor 110. As shown in FIG. 2, in one embodiment, the storage medium 120 can store multiple modules including a resource management module 210, a resource collection module 220, an alarm module 230, a topology management module 240, a topology display module 250, and a database 300, and its functions will be described later.

The transceiver 130 transmits or receives signals wirelessly or wiredly. The transceiver 130 may also perform operations such as low noise amplification, impedance matching, mixing, up or down frequency conversion, filtering, amplification, and the like. The electronic device 100 may be connected to an enterprise network or a system in the enterprise network through the transceiver 130. In one embodiment, the topology display module 250 may be connected to a display device through the transceiver 130 to display a graphical user interface through the display device. In one embodiment, the topology management module 240 may be connected to an input device (e.g., a keyboard or a touch screen) through the transceiver 130 to receive user commands through the input device.

When a 5G enterprise private network is deployed, in order to provide user monitoring services for daily maintenance, the resource management module 210 can obtain the management information 310 input by the user, or the resource management module 210 can access the enterprise private network to obtain the management information 310 associated with each system in the enterprise private network. The management information 310 may include relevant information of one or more systems in the enterprise private network, wherein the relevant information may include a system identifier and/or location information (e.g., longitude and latitude). In one embodiment, the system identifier includes location information. For example, a specific system identifier has a mapping relationship with a specific geographic location. For example, if the first codeword of the base station management system's identifier is "A", it means that the base station management system is located in "Taipei City".

Table 1 is an example of the managed information corresponding to various systems in the enterprise private network. It is worth noting that with the evolution of the 5G private network architecture in the future, more cross-professional monitoring subsystems may be added to the enterprise private network, and the managed information obtained by the resource management module 210 can also be synchronized. The acquired managed information 310 can be stored in the database 300 for use by other modules.

Next, the resource collection module 220 can access the system in the enterprise private network according to the management information 310 to obtain the private network resource table 320 associated with the network elements in the system. The resource collection module 220 can determine which systems have been managed according to the management information 310, and can access the managed systems to obtain the identification codes and specification information of the network elements associated with each system, and then generate or update the private network resource table 320 containing the above information. The specification information of the network element may include but is not limited to information such as the vendor identification code, the network element name or the network element type (for example: 4G base station, 5G base station, terminal equipment, core network, edge computing device, application or network equipment). The resource collection module 220 can store the private network resource table 320 in the database 300.

In one embodiment, the electronic device 100 can automatically manage the system in the enterprise private network. If there is an abnormality in the equipment in the enterprise private network, the resource collection module 220 can synchronize and store the private network resource table 320 in real time. The real-time status or abnormal alarm of the resources indicated by the private network resource table will also be synchronized to the private topology map in real time. The above-mentioned resource configurations, monitoring values or alarm messages can be collected by the resource collection module 220 or the alarm module 230 and stored in the database 300 to provide it to the topology management module 240 for use.

In one embodiment, the storage medium 120 may store a lookup table containing a system identifier. The resource management module 210 or the resource collection module 220 may periodically detect a system matching the system identifier in the enterprise private network to obtain or update the management information 310 or the private network resource table 320 associated with the system.

The topology management module 240 can generate a user-specific topology diagram based on the acquired data. When a resource changes state or an abnormal alarm occurs, it can be displayed on the topology diagram in real time. When the managed information 310 or the private network resource table 320 of the enterprise private network changes, the topology diagram generated based on the managed information 310 or the private network resource table 320 may also change, so the topology management module 240 needs to synchronize data in real time and generate or update the topology diagram.

FIG3 shows a flow chart of generating a topology diagram according to an embodiment of the present invention. In step S301, the topology management module 240 may perform data cleaning on the managed information 310 or the private network resource table 320. For example, the topology management module 240 may perform operations such as filling missing values, removing abnormal values (or outliers), or normalizing data on the managed information 310 or the private network resource table 320.

In step S302, the topology management module 240 may perform feature extraction on the managed information 310 or the private network resource table 320 to obtain one or more feature data. The feature data may include but is not limited to the supplier identification code.

In step S303, the topology management module 240 may use a machine learning model to predict the deployment type of the system based on the managed information 310 or the private network resource table 320. Specifically, different suppliers provide different 5G enterprise private network solutions, so the network element topology configurations of different systems may be different. The trained machine learning model may be pre-stored in the storage medium 120. The topology management module 240 may input the feature data obtained from the managed information 310 or the private network resource table 320 into the machine learning model to output the deployment type of the network element of the system.

In one embodiment, the machine learning model may further output a multi-location indicator for indicating whether the enterprise private network to which the system belongs is distributed in multiple locations. If the multi-location indicator is a first value (e.g., 1), different systems of the enterprise private network are respectively set in different geographical locations. If the multi-location indicator is a second value (e.g., 0), different systems of the enterprise private network are set in the same geographical location. The topology management module 240 may generate a geographical location topology map based on the location information of each of the different systems based on the multi-location indicator being a first value. The topology display module 250 may display a geographical location topology map 400 as shown in FIG. 4 for user reference through a graphical user interface, in which different systems of the enterprise private network are respectively deployed at the location corresponding to the node 410 and the location corresponding to the node 420. Table 2 is an example of the output of the machine learning model.

In one embodiment, the topology management module 240 can train a machine learning model based on training data and its labels. The training data may include but is not limited to managed information or a private network resource table in the past period of time, or include features such as a supplier identification code. The label may include multiple location indicators and deployment types corresponding to the training data. The topology management module 240 can, for example, train a machine learning model based on the training data and its labels based on a supervised machine learning algorithm. It is worth noting that the output result of the machine learning model is flexible to modify and expand.

In one embodiment, the storage medium 120 may pre-store multiple network element topology configurations corresponding to different suppliers or different systems. The topology management module 240 may select a network element topology configuration corresponding to the system from multiple network element topology configurations according to the deployment type output by the machine learning model or the supplier identification code of the system.

In one embodiment, the topology management module 240 may generate a network element topology diagram of the system according to the selected network element topology configuration. The topology display module 250 may display the network element topology diagram for user reference through a graphical user interface. Figures 5, 6, and 7 respectively illustrate examples of different network element topology diagrams 500, 600, and 700. The network element topology diagram may include one or more network elements in the system, and may include line segments for connecting two nodes. Taking Figure 5 as an example, the network element topology diagram 500 may include network elements such as terminal devices, 4G base stations, 5G base stations, and core networks, and displays the connection relationship between network elements.

In one embodiment, the topology management module 240 may receive a user instruction. If the user instruction selects a node corresponding to a specific system on the geographic location topology diagram, the topology display module 250 may display the network element topology diagram corresponding to the specific system through a graphical user interface. Taking Figures 4 to 6 as an example, assuming that node 410 represents the location of the first system, node 420 represents the location of the second system, network element topology diagram 500 corresponds to the first system, and network element topology diagram 600 corresponds to the second system. If the user instruction selects node 410 in the geographic location topology diagram 400, the image output by the topology display module 250 may be switched from the geographic location topology diagram 400 to the network element topology diagram 500.

In one embodiment, the storage medium 120 may pre-store a device topology map corresponding to a vendor identification code or a plurality of devices in a network element in the network element topology map. A network element (e.g., a core network) may be composed of one or more devices and/or network functions. The above-mentioned equipment or network functions may include but are not limited to user equipment, network exposure function (NEF), network slice selection function (NSSF), network repository function (NRF), point coordination function (PCF), unified data management (UDM) function, application function (AF), authentication server function (AUSF), access and mobility management function (AMF), session management function (SMF), next generation radio access network (NG-RAN), user plane function (UPF) or data network (DN). For example, the storage medium 120 can store a device topology diagram 800 corresponding to multiple devices in the core network in the network element topology diagram 500, as shown in FIG8.

In one embodiment, the topology management module 240 may receive a user instruction. If the user instruction selects a node corresponding to a specific network element on the network element topology diagram, the topology display module 250 may display the device topology diagram corresponding to the specific network element through a graphical user interface. Taking Figures 5 and 8 as examples, it is assumed that the node 510 represents the core network, and the device topology diagram 800 is used to display multiple devices in the core network and their connection relationships. If the user instruction selects the node 510 in the network element topology diagram 500, the image output by the topology display module 250 may be switched from the network element topology diagram 500 to the device topology diagram 800.

In one embodiment, the private network resource table 320 may include management information of each device in the network element, wherein the management information may include but is not limited to fault management (FM) information, performance management (PM) information or configuration management (CM) information. The topology display module 250 may selectively display the management information corresponding to the specific device through a graphical user interface. In one embodiment, the topology management module 240 may receive a user instruction. If the user instruction selects a node corresponding to a specific device on the device topology diagram, the topology display module 250 may display the management information corresponding to the specific device. Taking FIG8 as an example, if the user selects the node 820 corresponding to the authentication server function on the device topology diagram 800, the topology display module 250 can display the management information 821 corresponding to the authentication server function through the graphical user interface for the user's reference. In one embodiment, if the private network resource table 320 does not include the management information of a specific device, the user instruction cannot select the node corresponding to the specific device on the device topology diagram, or the topology display module 250 cannot display the management information corresponding to the specific device on the device topology diagram.

In one embodiment, the alarm module 230 can determine whether the management information of the device is abnormal. If the management information of the device is abnormal, the alarm module 230 can display the alarm message corresponding to the device on the device topology diagram. Taking Figure 8 as an example, if the alarm module 230 determines that the management information of the session management function is abnormal, the alarm module 230 can display the alarm message 80 corresponding to the node 810 on the device topology diagram 800.

In one embodiment, if the alarm module 230 determines that the management information of the device in a specific network element in the network element topology diagram is abnormal, the alarm module 230 may display an alarm message corresponding to the specific network element on the network element topology diagram. Taking Figures 5 and 8 as examples, it is assumed that the session management function is a device in the core network. If the alarm module 230 determines that the management information of the session management function is abnormal, the alarm module 230 may display an alarm message 50 corresponding to the node 510 on the network element topology diagram 500.

In one embodiment, if the alarm module 230 determines that the management information of the equipment in the specific system of the geographic location topology is abnormal, the alarm module 230 may display the alarm message corresponding to the specific system on the geographic location topology. Taking Figures 4-5 and 8 as examples, it is assumed that the system corresponding to the network element topology 500 is set at a position corresponding to the node 410, and the session management function is a device in the core network. If the alarm module 230 determines that the management information of the session management function is abnormal, the alarm module 230 may display the alarm message 40 corresponding to the node 410 on the geographic location topology 400.

The topology display module 250 can refer to the resource configuration, monitoring value or alarm content stored in the database 300, add node segments to the topology diagram, and add features. For example, a red light representing an abnormal state is added to the topology diagram, or nodes are displayed in different forms according to different brands. The topology display module 250 can use web page visualization development technology (for example: JavaScript-based drawing kit D3.JS or Canvas) to complete the user-specific topology diagram.

The embodiment of the present invention provides a method and an electronic device 100 for generating a dedicated topology map of a 5G enterprise private network, wherein the topology map is composed of one or more nodes representing resources within the enterprise private network and one or more line segments representing the association between the nodes. A node may be a physical resource or a collection of resources of the same type. Users in a multi-system environment can obtain a three-layer topology map, while users in a single-system environment can obtain a two-layer topology map. The additional layer of topology map (for example: geographic location topology map 400) obtained by users in a multi-system environment presents the geographic location information of each system by a base map and node positions, and can present the summarized status and basic configuration information. The second-level topology diagram (e.g., network element topology diagram 500, 600, or 700) can be changed according to the different deployment types. Each cross-professional network element in the enterprise private network is displayed as a node in the network element topology diagram. The network element topology diagram can also integrate alarm content to each node and associate them through lines. The network element topology diagram can grasp the private network deployment architecture and the status of cross-professional equipment. Finally, the third-level topology diagram (e.g., equipment topology diagram 800) is a resource topology diagram of a single professional type, which can be used to present the status, quantity, or distribution of similar equipment (or network elements). The topology management module 240 can store the information of the nodes and segments of each topology diagram in the database 300 for future query.

The cross-professional equipment (e.g., network elements or devices) within the enterprise private network architecture may include but not be limited to user equipment, 4G/5G base stations, network equipment, MEC equipment, or core networks. However, the construction technology methods related to 5G enterprise private networks are still evolving. In the future, more professional equipment may need to be added to the topology diagram for monitoring, thereby developing more topology diagram presentation methods.

Referring to FIG. 2 , the detailed functions of each module in the electronic device 100 of the present invention are described as follows.

User: has a web browser that can view the topology diagram and an input device that can operate the input device to interact with the topology diagram.

System in enterprise private network: has management interface provided by each cross-professional device in enterprise private network. Different brand systems will provide different management interfaces for external devices (e.g., electronic device 100) to call. The management interface provided by the system may include but is not limited to user equipment management interface, 4G/5G base station management interface, network equipment management interface, MEC equipment management interface or core network management interface. The system can provide management information 310 or private network resource table 320 for resource management module 210 or resource collection module 220, and then provide electronic device 100 with information on the private network resource group to be monitored.

Multiple modules of the electronic device 100: used to collect all resources in the user's 5G enterprise private network, and store resource configuration, performance data and alarm data (for example: CM/PM/FM and other management data) in the database 300. Different types of resources will have different data as the basic data for drawing the topology diagram. These data may be central processing units, memory, storage space configuration size, connection information or connection status (packet loss rate (PLR) or round trip time (RTT)). The above modules can periodically and automatically synchronize user private network resources from the enterprise private network system and monitor resource changes to ensure that the private topology diagram viewed by the user is consistent with the on-site situation.

Topology management module 240: can be used to receive information from database 300 and perform intelligent analysis on the information to determine the presentation method of the user-specific topology diagram.

Topology display module 250: Based on the processing results of topology management module 240, nodes and segments of topology diagram can be established, and then resource configuration, performance data and alarm data (e.g., CM/PM/FM and other management data) can be used to add appearance features to nodes, such as node icons and the color of node frames. Topology display module 250 can use, for example, a JavaScript-based drawing package (e.g., D3.JS or Canvas) to draw topology diagrams, and present a graphical user interface containing topology diagrams through the browser of the user device.

The process of the electronic device 100 collecting information of all resources in the 5G enterprise private network and storing resource configuration, performance data or alarm data in the database 300 begins with the application of the management function of the monitoring service of the present invention. After the 5G enterprise private network is built, users or maintenance personnel can input private network related information through the resource management module 210, wherein the information can be related to private network environment information, base station management system, core network management system, terminal equipment management system, network equipment management system or MEC device management system. Except for the private network environment information, the rest of the information is related to the system in the enterprise private network. The way in which the electronic device 100 accesses other systems to obtain resources will vary depending on the brand of the system. The electronic device 100 can manage each system in the following ways: the base station is managed by the base station identifier or site identifier (site ID); the terminal device is managed by the application program interface key (API KEY); or the MEC management system is managed by the management area ID. The above data obtained from the system can be stored in the storage medium 120 or the database 300. The database 300 is designed and developed based on MariaDB, for example. In addition to the user manually entering the management information 310, the electronic device 100 can also choose to manage the system automatically. The resource management module 210 can regularly synchronize the user's private network resources with the enterprise private network system. For example, the resource management module 210 can synchronize the management information 310 once a day at midnight. If the automatic management function is not used, the resource collection module 220 can obtain the corresponding resources from the enterprise private network system according to the settings of the management information 310 and store them in the private network resource table 320. The private network resource table 320 can accommodate various heterogeneous resources. Users can obtain the resource group of the user's private network environment by entering SQL commands. Modules such as the topology management module 240 or the alarm module 230 can access the enterprise private network system according to the content of the private network resource table 320 to obtain the configuration data, performance data or alarm data corresponding to the resources (for example: CM/PM/FM and other management data), and store them in the database 300 for other modules to query.

The method used in the intelligent analysis process of the present invention is flexible and unrestricted. The input of the machine learning model can be data related to the private network deployment, such as the managed information 310, the private network resource table 320, or the equipment manufacturer's brand. The output of the machine learning model can include parameters such as the system's deployment type or multi-location indicators used to determine the presentation method of the private topology map.

Whether the enterprise private network is dispersedly built in different geographical locations affects the number of layers of the private topology map. The deployment type of the 5G enterprise private network applied in the present invention may include multiple types (for example, four types), and each type of deployment will vary depending on the brand used by the system (or the network element or device in the system). Therefore, the brand information of the network element or device (for example, the supplier identification code) can be an important feature for determining the deployment type.

When training a machine learning model or using the machine learning model to predict the deployment type of the system, the electronic device 100 can perform pre-processing on the input data (e.g., filling in missing values or data normalization, etc.), then extract feature data from the processed input data, and discard irrelevant fields in the input data. When training a machine learning model, the electronic device 100 can use known managed information and its corresponding deployment type based on a supervised learning algorithm to train the machine learning model. The trained model can be used by users in different private network environments. The electronic device 100 can input the managed information 310 and the private network resource table 320 into the machine learning model to generate the prediction result of the deployment type. The topology management module 240 can obtain the prediction result of the deployment type.

The topology management module 240 can complete the exclusive topology map of the system according to the deployment type of the system, wherein the presentation mode of the topology map will change according to the deployment type or the multi-location indicator. If the multi-location indicator indicates that multiple systems of the enterprise private network are respectively set in different geographical locations, the topology map generated by the topology management module 240 will add a geographical location topology map. The geographical location topology map can be used to monitor the environmental status of each system of the enterprise private network. The user can also add a base map to the geographical location topology map to increase the visibility of the geographical location topology map. If the user wants to monitor the environment of a single system, the user can select a node on the geographical location topology map through a user command to switch to the network element topology map located at the second layer. The presentation of the network element topology diagram will vary according to the diagram layout type and the vendor identification code, such as the different types of network element topology diagrams shown in Figures 5 to 7.

The nodes in the network element topology diagram can be single professional type of equipment, such as MEC equipment, core network or base station. The node status and data are collected for the same type of resources. If the user wants to view all resources of a single type, the user can select the node on the network element topology diagram through the user command to switch to the device topology diagram on the third layer. The device topology diagram can present a single type of resources in a unified manner. The user can select the device in the device topology diagram (for example: core network) through the user command to monitor the detailed information of the device.

FIG9 is a flow chart of a method for generating a topology diagram of an enterprise private network according to an embodiment of the present invention, wherein the method can be implemented by the electronic device 100 shown in FIG1 . In step S901, multiple network element topology configurations are obtained. In step S902, the enterprise private network is accessed to obtain management information related to the first system. In step S903, the first system is accessed based on the management information to obtain a private network resource table related to the first network element in the first system. In step S904, a machine learning model is used to output the deployment type of the first system based on the management information and the private network resource table. In step S905, a first network element topology configuration corresponding to the deployment type is selected from multiple network element topology configurations, and a network element topology diagram of the first system is generated according to the first network element topology configuration. In step S906, the network element topology diagram is displayed through a graphical user interface.

In summary, the present invention provides a method and system for intelligently generating a user-specific topology map. The presentation mode of the topology map is determined by the private network management information. After obtaining the management information of the enterprise private network, the electronic device can obtain the private network resource table according to the management information, and perform intelligent analysis on the management information or the private network resource table. The electronic device can apply the trained machine learning model to perform classification prediction, and determine the presentation mode of the topology map according to the prediction result. There is a difference between the topology map generated by the present invention and the topology map provided by the traditional monitoring service. The present invention can optimize the visual presentation of the exclusive topology map for the user.

The monitoring topology diagram of the 5G enterprise private network provided by the present invention can support the monitoring of resources in multiple private network environments, multiple professional layers, and multiple types or brands of equipment. When there are changes in the architecture or equipment in the private network environment, they will be synchronized to the topology diagram in real time, so that the private network topology diagram can be used for daily maintenance or fault detection. Users no longer need to go to the monitoring system to view the topology diagrams of other professional layers, but can display a variety of topology diagrams through a single graphical user interface for users to perform end-to-end monitoring, improve monitoring efficiency and reduce maintenance costs.

As the 5G enterprise private network market continues to grow and business opportunities are highly competitive, its technology continues to evolve. In the face of the increasingly complex and different deployment methods of the future 5G enterprise private network environment, the present invention can predict and classify the managed information or private network resource table of the enterprise private network, and obtain a dedicated topology map without any settings and code development.

Compared with traditional network management systems, the present invention classifies users introduced into 5G enterprise private networks by applying machine learning concepts in the 5G enterprise private network monitoring topology generation method. Users of the same industry and similar private network environments who manage information will also have similar needs for topology diagrams. The present invention can provide exclusive topology diagrams for enterprise private networks of various industries, and present the information required for monitoring private networks, such as equipment status, traffic or alarms, to users for reference.

The present invention provides users with services for simultaneously monitoring multiple 5G enterprise private network environments. Network elements in different private network environments have different deployment methods. The present invention uses intelligent processes and systems to determine the topology presentation method for users. Electronic devices can monitor each managed system in real time, and can automatically manage systems newly added to the enterprise private network. No code needs to be written during the process of managing and monitoring the system, so the present invention can meet the future explosive demand for enterprises to introduce private networks.

100: Electronic devices

110: Processor

120: Storage media

130: Transceiver

210: Resource management module

220: Resource collection module

230: Alarm module

240: Topology management module

250: Topology display module

300: Database

310: Manage information

320: Private network resource table

40,50,80: Warning message

400: Geographic location topology map

410,420,510,810,820: Nodes

500,600,700: Network element topology

800: Equipment topology diagram

821: Management Information

S301, S302, S303, S901, S902, S903, S904, S905, S906: Steps

FIG1 is a schematic diagram of an electronic device for generating a topology diagram of an enterprise private network according to an embodiment of the present invention.

FIG2 is a schematic diagram of a module of an electronic device according to an embodiment of the present invention.

FIG3 shows a flow chart for generating a topology diagram according to an embodiment of the present invention.

FIG4 shows a geographical location topology map according to an embodiment of the present invention.

FIG5 shows a network element topology diagram according to an embodiment of the present invention.

FIG6 shows a network element topology diagram according to an embodiment of the present invention.

FIG. 7 illustrates a network element topology diagram according to an embodiment of the present invention.

FIG8 shows a device topology diagram according to an embodiment of the present invention.

FIG9 is a flow chart of a method for generating a topology diagram of an enterprise private network according to an embodiment of the present invention.

S901, S902, S903, S904, S905, S906: Steps

Claims (12)

An electronic device for generating a topology diagram of an enterprise private network, comprising: A transceiver, communicatively connected to the enterprise private network; A storage medium, storing multiple modules and multiple network element topology configurations; and A processor, coupling the storage medium and the transceiver, and accessing and executing the multiple modules, wherein the multiple modules include: A resource management module, accessing the enterprise private network to obtain management information related to a first system; A resource collection module, accessing the first system according to the management information to obtain a private network resource table related to a first network element in the first system; A topology management module, using a machine learning model to output the deployment type of the first system according to the managed information and the private network resource table, selecting a first network element topology configuration corresponding to the deployment type from the multiple network element topology configurations, and generating a network element topology diagram of the first system according to the first network element topology configuration; and a topology display module, displaying the network element topology diagram through a graphical user interface. An electronic device as described in claim 1, wherein the network element topology diagram includes a first node corresponding to the first network element, a second node corresponding to the second network element of the first system, and a line segment connecting the first node and the second node. An electronic device as described in claim 2, wherein the topology display module displays a device topology diagram of multiple devices associated with the first network element in response to a user instruction selecting the first node on the network element topology diagram. The electronic device as described in claim 1, wherein the topology management module performs feature extraction on the private network resource table to obtain the vendor identification code corresponding to the first system, and selects the first network element topology configuration from the multiple network element topology configurations corresponding to the vendor identification code. An electronic device as described in claim 4, wherein the storage medium further stores a device topology diagram corresponding to the vendor identification code and multiple devices in the first network element, and the private network resource table includes management information of a first device among the multiple devices, wherein in response to a user instruction selecting a node corresponding to the first device on the device topology diagram, the topology display module displays the management information through the graphical user interface. The electronic device as described in claim 5, wherein the plurality of modules further include: An alarm module, which determines whether the management information is abnormal, and displays a first alarm message corresponding to the first device on the device topology map in response to determining that the management information is abnormal. The electronic device as described in claim 6, wherein the alarm module displays a second alarm message corresponding to the first network element on the network element topology diagram in response to determining that the management information is abnormal. The electronic device as described in claim 6, wherein the alarm module displays a third alarm message corresponding to the first location where the first system is located on the geographic location topology map in response to determining that the management information is abnormal. An electronic device as described in claim 1, wherein the managed information includes first location information of the first system and second location information of the second system in the enterprise private network, and the machine learning model further outputs a multi-location indicator, wherein In response to the multi-location indicator indicating that the enterprise private network is distributed in multiple locations, the topology management module generates a geographic location topology map based on the first location information and the second location information, wherein The topology display module displays the geographic location topology map through the graphical user interface. An electronic device as described in claim 9, wherein the geographic location topology map includes a node corresponding to a first location where the first system is located, wherein in response to a user instruction selecting the node, the topology display module displays the network element topology map of the first system through the graphical user interface. An electronic device as described in claim 1, wherein the storage medium further stores a lookup table including a system identification code, wherein the resource management module periodically detects the first system matching the system identification code in the enterprise private network to obtain the management information associated with the first system. A method for generating a topology diagram of an enterprise private network, comprising: Obtaining multiple network element topology configurations; Accessing the enterprise private network to obtain management information related to a first system; Accessing the first system according to the management information to obtain a private network resource table related to a first network element in the first system; Using a machine learning model to output a deployment type of the first system according to the management information and the private network resource table; Selecting a first network element topology configuration corresponding to the deployment type from the multiple network element topology configurations, and generating a network element topology diagram of the first system according to the first network element topology configuration; and Displaying the network element topology diagram through a graphical user interface.

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