Network real-time situation generation method under condition of hybrid networking of multiple communication system devices

Abstract

The invention discloses a network real-time situation generation method under the condition of hybrid networking of multiple communication system devices. A special topology detection protocol is designed to complete topology detection and information acquisition of a mobile communication network, and topology and service data information are transmitted in the network after protocol compression and are converged to an operation and maintenance management center. The operation and maintenance management center stores reported and summarized network topology and service data information, performs data training by adopting a machine learning method to form a link identification model, and performs mode identification on a node connection relation in a network topology relation graph by combining a situation fusion processing module with the link identification model; and dynamically generating the real-time topology situation of the mobile communication network under the condition of hybrid networking of multiple communication system devices. The network real-time situation generation method has the beneficial technical effects that the network real-time situation generation method under the condition of hybrid networking of the multiple communication system devices is provided, a proprietary topology detection protocol technology is adopted in a narrow-band communication environment, the technical system difference of different devices can be shielded, and the network real-time situation generation method is suitable for the hybrid networking of the multiple communication system devices. The network situation generation capability under the condition of hybrid networking of multiple communication system devices is greatly improved, the real-time sensing function of the maneuvering communication network situation is realized, and the traffic channel overhead of a narrowband communication network can be effectively reduced through protocol compression.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of network management, and particularly relates to a network real-time situation generation method under a mixed condition of multiple communication system devices in a narrowband environment. BACKGROUND

[0002] A special mobile communication network usually takes a vehicle node or a movable open node as a physical bearing platform, comprehensively utilizes optical fiber, microwave, satellite, scattering, radio and other wireless transmission means, constructs a grid, star or ring network topology to form a mobile communication system, the link bandwidth range of which is less than 8 Mbps, supports global coverage within the task guarantee range, and has the ability of comprehensive business communication and network management. Based on the mobility and temporary opening characteristics of the special mobile communication network, the communication network resources of the whole network need to be planned according to the task requirements in the initial stage of task guarantee, the mobile communication nodes, links and services need to be monitored and managed in real time during the task guarantee process, and the network topology and communication links can be dynamically adjusted according to the actual business demand to ensure the reliable transmission of the communication network business.

[0003] At present, with the development of special mobile communication network technology, multiple generations of mobile communication devices coexist. On the one hand, the technical systems of different generations of devices are different, and the technical systems of network management systems also have great differences; on the other hand, in the field of special mobile communication, the demand for constructing a mixed mobile communication network of multiple communication system devices is still strong. Under the condition of mixed networking of multiple communication system devices, the mobile communication system itself has the status of narrow link bandwidth, inflexible networking, limited business support capability, and at the same time, it also faces the problems of incomplete network topology information collected by a single network management system, incompatibility of multiple communication system network management systems, and lack of dynamic perception ability of the whole network mobile communication node topology and business. In order to meet the actual application demand, a method for dynamically and real-timely collecting mobile communication node network topology and business information should be constructed based on the narrowband communication network environment under the condition of mixed networking of multiple communication system devices, and an integrated comprehensive network situation should be formed. SUMMARY

[0004] The present application discloses a network real-time situation generation method under the condition of mixed networking of multiple communication system devices.

[0005] As shown in Figure 1 The present application relates to two kinds of software: collection terminal software and collection center software, wherein: The collection terminal software is deployed on the mobile communication node computer terminal of the mobile side of the special mobile communication network, and is responsible for collecting the basic information of the mobile communication network node and reporting to the collection center software.

[0006] The collection center software is arranged in the operation and maintenance center of the fixed side computer room of the special mobile communication network, is responsible for collecting, storing and analyzing the network topology and service information reported by the collection terminal software, generating a topology detection strategy library and issuing it, training data by using a machine learning method to form a link identification model, and combining the link identification model to recognize the connection relationship of the nodes in the network topology relationship graph by a situation fusion processing module, and dynamically generating a real-time topology situation of the mobile communication network under the condition of mixed networking of multiple communication system devices.

[0007] As shown in Figure 2 , the application designs a special link detection protocol, including two protocol message formats: neighbor information reporting message and network topology detection strategy message, wherein: The neighbor information reporting message is used for the collection terminal software to encapsulate the topology and service information of the mobile communication node collected by the mobile communication node, to transmit in the network after protocol compression, and to report and converge to the collection center software of the operation and maintenance center.

[0008] The network topology detection strategy message is used for the collection center software to encapsulate the network topology detection strategy of the online collection terminal software in the whole network, to form network topology detection strategy library information, to transmit in the network after protocol compression, and to issue to the online collection terminal software in the whole network.

[0009] As shown in Figure 3 , it is the message information interaction flow chart between the two software in the application. Among them: The node information reporting is a general UDP message, which is encapsulated by a UDP unicast message. The neighbor information reporting message is a special customized UDP message, which is encapsulated by a UDP unicast message. The network topology detection strategy message is a special customized UDP message, which is encapsulated by a UDP multicast message.

[0010] The method for realizing the application comprises the following steps: 1) installing and deploying the collection terminal software on the mobile communication node computer of the mobile side of the special mobile communication network, and deploying the collection center software on the computer of the fixed side computer room; 2) the collection terminal software collects the node ID, node type, geographic location, organization affiliation, IP address and other basic information of the mobile communication node, and reports it to the collection center software after protocol compression; 3) the collection center software receives the node basic information reported by the collection terminal software, generates a network topology detection strategy library, and issues the network topology detection strategy library to all online collection terminal software; 4) The collection terminal software receives the network topology detection strategy library, formulates the topology detection strategy mechanism of the node, starts the automatic detection process based on the special topology detection protocol, obtains the neighbor node information and link state information, generates the local neighbor table, and reports to the collection center software; 5) The collection center software receives the local neighbor table reported by the collection terminal software, aggregates to form the whole network neighbor relationship set, extracts the feature value in the whole network neighbor relationship table by using the machine learning method, and constructs the link identification model; 6) The collection center software starts the situation fusion module, generates the network topology relationship graph based on the network topology detection strategy library, generates the link type between nodes based on the link identification model, and generates the real-time topology situation of the mobile communication network after fusion.

[0011] The above steps 2) to 6) are periodically executed, the user can dynamically adjust the cycle interval parameter in the network topology detection strategy library of the collection center software according to the real-time requirement of network topology collection, the collection center software has the function of automatically detecting the data update of the network topology detection strategy library, and once the data update of the network topology detection strategy library occurs, the latest network topology detection strategy library is actively issued to the whole network online collection terminal software.

[0012] The beneficial technical effect of the application is to provide a network real-time situation generation method under the condition of mixed networking of multiple communication system devices, support the use of special topology detection protocol technology in narrowband communication environment, shield the difference of different device technical systems, greatly improve the network situation generation ability under the condition of mixed networking of multiple communication system devices, realize the real-time sensing function of the mobile communication network situation, and through protocol compression, the business channel overhead of the narrowband communication network can be effectively reduced. BRIEF DESCRIPTION OF DRAWINGS

[0013] Figure 1 , special mobile communication network schematic diagram Figure 2 , special link detection protocol message schematic diagram Figure 3 , message information interaction flow chart Figure 4 , network real-time situation generation method whole process schematic diagram Figure 5 , situation fusion processing flow schematic diagram DETAILED DESCRIPTION

[0014] The application provides a network real-time situation generation method under a mixed networking condition of various communication system devices, and the method is mainly related to terminal software and collection center software. Under the premise that the technical system and organizational application mode of the current proprietary mobile communication network supporting node management and network management are not changed, the mobile communication node and link information collection is completed by using an autonomous detection mode based on a designed proprietary link detection protocol, the periodic fusion processing mode is performed by a situation fusion module in combination with a machine learning link identification model and a network topology detection strategy library, and the mobile communication network real-time topology situation is generated. The proprietary link detection protocol message can be referred to in Figure 2 . The message information interaction process can be referred to in Figure 3 . The network real-time situation generation method full process can be referred to in Figure 4 , and the situation fusion processing process can be referred to in Figure 5 .

[0015] In order to make the purpose, technical scheme and advantages of the application more clear, the application is further described in detail below with reference to the drawings. The main steps include the following steps: 1) The collection terminal software is installed and deployed on the mobile communication node computer of the mobile side of the proprietary mobile communication network, and the collection center software is deployed on the computer in the fixed side machine room; 2) The collection terminal software collects and obtains the node ID, node type, geographic position, organization affiliation, IP address and other basic information of the mobile communication node, and reports the protocol compressed node basic information to the collection center software; 3) The collection center software receives the node basic information reported by the collection terminal software, generates a network topology detection strategy library, and distributes the network topology detection strategy library to all online collection terminal software; 4) The collection terminal software receives the network topology detection strategy library, formulates the topology detection strategy mechanism of the node, starts the automatic detection process based on the proprietary topology detection protocol, obtains the neighbor node information and link state information, generates a local neighbor table, and reports to the collection center software; 5) The collection center software receives the local neighbor table reported by the collection terminal software, aggregates to form a whole network neighbor relationship set, extracts the feature value in the whole network neighbor relationship table by using a machine learning method, and constructs a link identification model; 6) The collection center software starts a situation fusion module, generates a network topology relationship graph based on the network topology detection strategy library, generates the link type between nodes based on the link identification model, and generates a mobile communication network real-time topology situation after fusion.

[0016] The steps 2) to 6) are periodically cycled, and the user can dynamically adjust the cycle interval parameters in the network topology detection strategy library of the collection center software according to the real-time requirements of the network topology collection. The collection center software has the function of automatically detecting data updates in the network topology detection strategy library, and actively distributes the latest network topology detection strategy library to the online collection terminal software in the whole network as soon as the data update operation of the network topology detection strategy library occurs.

[0017] In the above step 1), the motorized side deployed collection terminal software needs to specify the collection center software address in the parameter file for information reporting. The collection center software automatically records the IP address, node number and other information of all collection terminal software after obtaining the reported information.

[0018] In the above step 2), the collection terminal software needs to manually configure the basic information of the mobile communication node according to the special protocol standard format when deployed, such as node number as a string, vehicle node using license plate number as a unique identifier, and movable open node using equipment factory number as a unique identifier. The node geographic location information is obtained in real time through the Beidou device equipped in the mobile communication node.

[0019] In the above step 3), the collection center software generates a network topology detection strategy library containing online node information set according to the received collection terminal software user information, and actively distributes the network topology detection strategy library to the online collection terminal software users in the whole network. In order to reduce the network business bandwidth occupancy, when the network topology detection strategy library data is not updated, the network topology detection strategy library information will not be distributed.

[0020] In the above step 4), the collection terminal software refers to the distributed network topology detection strategy library information to extract the topology detection strategy mechanism of the node, starts the automatic detection process based on the special topology detection protocol, and generates the local neighbor table according to the actual situation. In the above step 4), when the collection terminal software does not receive new network topology detection strategy library information, it uses the latest network topology detection strategy library information to formulate the topology detection strategy mechanism of the node, performs periodic detection, and updates and maintains the local neighbor table information according to the detection results.

[0021] In the above step 5), the collection center software extracts the link characteristic values such as link delay, hop count and path IP network segment in the whole network neighbor relationship table using machine learning method, and performs data training to form a link recognition model.

[0022] In step 6), the situation fusion module of the collection center software is triggered in time, the link identification model is used to identify the connection relationship of the nodes in the network topology graph, and detailed link information such as link type, link rate, link state and the like is output.

[0023] The above merely describes a preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can make equivalent replacements according to the technical solution and the inventive concept of the present application within the technical range disclosed by the present application, which should be covered in the protection scope of the present application.

Claims

1. A network real-time situation generation method under the condition of a mixed network of multiple communication system devices, characterized in that Comprise the following steps: 1) install deployment acquisition terminal software on the computer of the mobile communication node on the mobile side of the proprietary mobile communication network, and deploy acquisition center software on the computer in the fixed side machine room; 2) the acquisition terminal software collects the node ID, node type, geographic location, organization affiliation, IP address and other basic information of the mobile communication node, and reports it to the acquisition center software after protocol compression; 3) the acquisition center software receives the node basic information reported by the acquisition terminal software, generates a network topology detection strategy library, and distributes the network topology detection strategy library to all online acquisition terminal software; 4) the acquisition terminal software receives the network topology detection strategy library, and according to the topology detection strategy mechanism of the node, starts the automatic detection process based on the proprietary topology detection protocol, obtains the neighbor node information and link state information, generates the local neighbor table, and reports it to the acquisition center software; 5) the acquisition center software receives the local neighbor table reported by the acquisition terminal software, aggregates to form a full network neighbor relationship set, extracts the feature value in the full network neighbor relationship table by using machine learning method, and constructs a link identification model; 6) the acquisition center software starts a situation fusion module, generates a network topology relationship diagram based on the network topology detection strategy library, generates a link type between nodes based on the feature value library, and generates a real-time topology situation of the mobile communication network after fusion; The steps 2) to 6) are periodically executed, the user can dynamically adjust the cycle interval parameter in the network topology detection strategy library of the acquisition center software according to the real-time requirement of the network topology acquisition, the acquisition center software has the function of automatically detecting the data update of the network topology detection strategy library, and actively distributes the latest network topology detection strategy library to all online acquisition terminal software.

2. The method of claim 1, wherein In step 1), the acquisition terminal software deployed on the mobile side needs to specify the address of the acquisition center software in the parameter file for information reporting; the acquisition center software automatically records the IP address, node number and other information of all acquisition terminal software when acquiring the reported information. In step 2), the acquisition terminal software needs to manually configure the basic information of the mobile communication node according to the proprietary protocol standard format when deployed, for example, the node number is a string, the vehicle node uses the license plate number as the unique identifier, and the movable open node uses the equipment factory number as the unique identifier; the node geographic location information is obtained in real time through the Beidou device equipped on the mobile communication node.

3. The method of claim 1, wherein In step 3), the acquisition center software generates a network topology detection strategy library according to the received acquisition terminal software user information, which contains the online node information set; actively distributes the network topology detection strategy library to all online acquisition terminal software users, in order to ensure that no bandwidth is occupied, when the network topology detection strategy library data is not updated, the network topology detection strategy library information will not be distributed again. In step 4), the acquisition terminal software refers to the network topology detection strategy library information, extracts the topology detection strategy mechanism of the node, starts the automatic detection process based on the proprietary topology detection protocol, and generates the local neighbor table according to the actual situation.

4. The method of claim 1, wherein In step 4), ​ 5. The method of claim 1, wherein ​ ​ 6. The method of claim 1, wherein ​ The collection terminal software uses the network topology detection strategy library information issued last time to formulate the topology detection strategy mechanism of the node, performs periodic detection, and updates and maintains the local neighbor table information according to the detection result when no new network topology detection strategy library information is received.

7. The method of claim 1, wherein In step 5), the following is further included: The collection center software extracts link characteristic values such as link delay, hop count and path IP network segment in the network neighbor relationship table by using a machine learning method, performs data training to form a link identification model.

8. The method of claim 1, wherein In step 6), the following is further included: The collection center software triggers the situation fusion module at a fixed time, uses the link identification model to perform pattern recognition on the node connection relationship in the network topology relationship diagram, and outputs detailed link information such as link type, link rate and link state.

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