CN112910696A - Automatic modeling analysis method for network topology - Google Patents
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- CN112910696A CN112910696A CN202110090524.4A CN202110090524A CN112910696A CN 112910696 A CN112910696 A CN 112910696A CN 202110090524 A CN202110090524 A CN 202110090524A CN 112910696 A CN112910696 A CN 112910696A
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- 238000012544 monitoring process Methods 0.000 abstract description 7
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- H—ELECTRICITY
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/12—Discovery or management of network topologies
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- H04L41/02—Standardisation; Integration
- H04L41/0213—Standardised network management protocols, e.g. simple network management protocol [SNMP]
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/142—Network analysis or design using statistical or mathematical methods
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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Abstract
The invention relates to the technical field of network communication, in particular to a network topology automatic modeling analysis method, which comprises the following steps: s1, automatically identifying the asset equipment type; s2, automatically generating a network topological graph; and S3, displaying the running state of the network topology map in real time. The network topology automatic modeling analysis method is analyzed through various industrial communication protocols and network protocols, and is beneficial to identifying different types of network asset equipment of various manufacturers; the visual topological graph is generated in a full-automatic mode by combining a 2D graphic engine and a graph theory algorithm, manual drawing of the topological graph is replaced, and the accuracy of the mapping relation between the real environment and the topological graph is improved; the asset equipment in the topological graph displayed in real time is operated to directly control the asset equipment in the network environment, so that a monitoring and control integrated solution is constructed.
Description
Technical Field
The invention relates to the technical field of network communication, in particular to an automatic modeling analysis method for network topology.
Background
With the rapid development of information-based construction, the construction scale of the network is larger and larger, the distribution is wider and wider, and the types and the quantity of the devices accessed in the network are rapidly increased. At present, a common equipment asset management system mainly performs management work of a life cycle of equipment assets from equipment purchasing, equipment using and equipment scrapping links, manual registration and allocation are performed during equipment purchasing, a part of the equipment asset management system and most of network operation and maintenance management systems can monitor and manage the running states of important equipment (such as business servers, network equipment and the like), but for most of common equipment, only information of allocated departments, personnel and the like is recorded, the equipment using and network access running states cannot be monitored, and then scrapping records are performed when the equipment is eliminated.
In the whole process of managing the equipment assets, the operation monitoring management of important equipment can be realized, most of equipment still can not be suitable for the dynamic adjustment and change requirements of network assets on the basis of an equipment asset list established by manual registration, and a plurality of management problems are still faced in daily network operation and maintenance management and safety management: 1) the system generally lacks the capability of uniformly monitoring and managing all equipment assets in the whole network, and as managers or operation and maintenance personnel cannot effectively master the equipment asset condition of the whole network, the system cannot know the distribution and activity conditions of various assets, thereby affecting the safe and stable operation of the network and a service system; 2) after the device assets are distributed and used, how the device is used, whether the device is used according to the registration information, whether the device is replaced or not and the like cannot be tracked and managed, so that the difference between the registration information of the device assets and the actually accessed device information is larger and larger, the asset registration information is old, the information is seriously lost, and the larger the network scale is, the larger the difference is. The situations have no record in the existing asset management system or operation and maintenance system, and even cannot be monitored, so that the security policy is seriously overlooked, and the management department lacks an effective monitoring and management technical means to discover and manage the illegal behaviors, thereby seriously affecting the safe operation of the internal network.
Therefore, an automatic modeling analysis method for network topology is urgently needed, which can automatically identify different types of network asset equipment of different manufacturers, and can be combined with a 2D graphic engine and a graph theory algorithm to automatically generate a visual topological graph, so that the accuracy of the mapping relation between the real environment and the topological graph is improved, and the asset equipment in the network environment is directly controlled by operating the asset equipment in the topological graph displayed in real time, so that a monitoring and control integrated solution is constructed.
Disclosure of Invention
The invention aims to provide an automatic modeling analysis method for network topology, which can automatically identify different types of network asset equipment of different manufacturers, can generate a visual topological graph in a full-automatic manner by combining a 2D (two-dimensional) graphic engine and a graph theory algorithm, improves the accuracy of the mapping relation between a real environment and the topological graph, and can directly control the asset equipment in the network environment by operating the asset equipment in the topological graph displayed in real time to construct a monitoring and control integrated solution.
An automated modeling analysis method for network topology, the analysis method comprising the following steps:
s1, automatically identifying the asset equipment type: network equipment (such as a router, a switch, a gateway and the like) of different types or models of equipment is automatically identified through a simple network management protocol; performing industrial protocol deep analysis on the full flow by capturing packets at a mirror image port of a core switch, and identifying industrial asset equipment of different manufacturers and different equipment types;
s2, automatically generating a network topological graph: intelligently arranging a network topological graph based on a data mining technology and a graph theory algorithm in combination with a user-defined rule;
s3, displaying the running state of the network topology diagram in real time: the intelligent topological graph displays information such as equipment alarm and link state; the corresponding devices in the topological graph can be operated interactively.
Compared with the prior art, the invention has the beneficial effects that:
in conclusion, the network topology automatic modeling analysis method provided by the invention analyzes through various industrial communication protocols and network protocols, and is beneficial to identifying different types of network asset equipment of various manufacturers; the visual topological graph is generated in a full-automatic mode by combining a 2D graphic engine and a graph theory algorithm, manual drawing of the topological graph is replaced, and the accuracy of the mapping relation between the real environment and the topological graph is improved; the asset equipment in the topological graph displayed in real time is operated to directly control the asset equipment in the network environment, so that a monitoring and control integrated solution is constructed.
Drawings
Fig. 1 is a logic flow diagram of an automated modeling analysis method of network topology according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An automated modeling analysis method for network topology, the analysis method comprising the following steps:
s1, automatically identifying the asset equipment type: network equipment (such as a router, a switch, a gateway and the like) of different types or models of equipment is automatically identified through a simple network management protocol; performing industrial protocol deep analysis on the full flow by capturing packets at a mirror image port of a core switch, and identifying industrial asset equipment of different manufacturers and different equipment types;
s2, automatically generating a network topological graph: intelligently arranging a network topological graph based on a data mining technology and a graph theory algorithm in combination with a user-defined rule;
s3, displaying the running state of the network topology diagram in real time: the intelligent topological graph displays information such as equipment alarm and link state; the corresponding devices in the topological graph can be operated interactively.
The working principle is as follows:
an automatic modeling analysis method for network topology,
(1) automatically identifying asset device types: and intelligent fingerprint identification of network assets is adopted. The method comprises the following specific steps: firstly, a scanning address range is obtained according to front-end page configuration, then online equipment is scanned and found according to various network management protocols (SNMP, SSH, Telnet, JDBC, JMX and WMI), then network characteristics of all the equipment are collected, then intelligent classification of equipment assets is carried out by adopting a machine learning technology, and finally analyzed equipment information is input into an equipment asset information base.
(2) Automatically generating a network topology map: and intelligently arranging and visualizing the asset equipment by adopting a 30Trust2D graphic engine and matching with a graph theory algorithm. 30Trust2D is an industrial field network visualization SDK development kit, and is specially used for providing a one-stop UI development solution for a front end. The rich component library, the API of the brief introduction and the light-weight and efficient runtime library are beneficial devices of the Web visualization application of the current industrial network environment. The topological graph automation can be realized only by layout by using a graph theory algorithm, firstly, network assets are organized into a tree structure by using an undirected graph, and the height of a hierarchy is determined. And then, matching with the self-defined asset class attributes to divide different network areas, finally, unifying the intervals among the computing devices according to the number of each layer, and finally, rendering through a 30Trust2D graphic engine to generate a visual network.
(3) Displaying the running state of the network topological graph in real time: the intelligent topological graph displays information such as equipment alarm and link state; the corresponding devices in the topological graph can be operated interactively. The intelligent automatically generated topology can display the alarm of the equipment in real time, and when the alarm is generated, alarm prompts are provided on the icons of the network and the equipment. Meanwhile, the topology displays the link state in real time, and the link connection, the link interruption and the alarm are distinguished by different colors. The topology can display real-time performance data of the link, such as important information of bandwidth, flow and the like, and help network management personnel to know the network link condition and the equipment operation condition in real time. And the state information such as automatic identification of the industrial ring network, intelligent identification of the main link and the standby link of the ring network, whether the link is blocked, link bandwidth and the like is supported.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (1)
1. A network topology automatic modeling analysis method is characterized in that: the analysis method comprises the following steps:
s1, automatically identifying the asset equipment type: network equipment (such as a router, a switch, a gateway and the like) of different types or models of equipment is automatically identified through a simple network management protocol; performing industrial protocol deep analysis on the full flow by capturing packets at a mirror image port of a core switch, and identifying industrial asset equipment of different manufacturers and different equipment types;
s2, automatically generating a network topological graph: intelligently arranging a network topological graph based on a data mining technology and a graph theory algorithm in combination with a user-defined rule;
s3, displaying the running state of the network topology diagram in real time: the intelligent topological graph displays information such as equipment alarm and link state; the corresponding devices in the topological graph can be operated interactively.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113746906A (en) * | 2021-08-13 | 2021-12-03 | 苏州浪潮智能科技有限公司 | Method and system for automatically generating topological graph |
| CN114915561A (en) * | 2022-04-19 | 2022-08-16 | 北京宝兰德软件股份有限公司 | Network topological graph generation method and device |
| CN115225502A (en) * | 2022-05-13 | 2022-10-21 | 宁夏誉成云创数据投资有限公司 | SDN architecture-based data center digital mapping DCIM system |
| CN115550034A (en) * | 2022-09-29 | 2022-12-30 | 国网重庆市电力公司电力科学研究院 | Service flow monitoring method and device for distribution network power monitoring system |
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