CN115913903A - Method and system for automatically repairing network fault of wave recording master station networking equipment - Google Patents
Method and system for automatically repairing network fault of wave recording master station networking equipment Download PDFInfo
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Abstract
The application provides an automatic repairing method for network faults of wave recording master station networking equipment, which is used for collecting flow data, performance data and topological structure changes through a NetFlow technology, an SNMP protocol and a topology discovery algorithm. After the discovered network fault is isolated, diagnosed and analyzed, an automatic repair model of the network fault is set, and the network equipment with the fault is automatically repaired according to the set repair model. The embodiment of the application also provides an automatic network fault repairing system for the wave recording master station networking equipment, and the system automatically repairs the network fault of the wave recording master station networking equipment by applying the automatic network fault repairing method for the wave recording master station networking equipment. In the whole process, operators do not need to carry out uninterrupted monitoring and troubleshooting on network equipment in key links, and the working efficiency can be effectively improved.
Description
Technical Field
The application relates to the field of fault repair, in particular to a method and a system for automatically repairing network faults of networking equipment of a wave recording master station.
Background
Network fault monitoring of an electric power system requires an on-duty person to continuously monitor the on-off state of key link network equipment such as a recorder manager, a switch, a router, a telecontrol device and the like for 24 hours, and the on-duty person keeps on position all the time and closely pays attention to the running state of the network equipment.
With the increasing variety and quantity of network devices, some network devices have a certain fault automatic repair capability, but still cause network quality influence for several minutes. Some devices cannot give any explicit alarm when transmitting data abnormally, and after receiving devices passively receive fault data, the receiving devices need to rely on manual detection of data problems, and then abnormal devices are screened out from mass network devices for isolation. Not only causes long-time fault influence, but also cannot realize intelligent management by means of manual detection. Some network monitoring software, such as Netpalpus, netsense, erspan, etc., which can well meet the real-time monitoring requirements of users on network devices, are complex in functions and difficult to master by ordinary personnel, or are commercialized software, and high cost needs to be paid.
Disclosure of Invention
The application provides a method and a system for automatically repairing network faults of networking equipment of a wave recording master station, which are used for solving the problem of automatically repairing the network faults of the networking equipment.
On one hand, the application provides an automatic network fault repairing method for a wave recording master station networking device, which comprises the following steps:
monitoring flow faults, network performance and a topological structure of a networking network equipment network, and storing monitoring data into a database, wherein the monitoring data comprises network flow data, network performance data and topological structure data;
performing fault mining on the monitoring data in the database, and diagnosing the found network fault;
networking network equipment with network faults after isolation diagnosis;
performing order establishment tracking on the isolated network faults, and performing statistical analysis on the networking network faults;
setting an automatic repair mechanism for the network fault tracked by the established order, and setting an automatic repair model for the network fault;
and repairing the network fault according to a set repairing model.
Optionally, the step of creating a list and tracking the isolated network fault, and the step of statistically analyzing the networking network fault further includes:
carrying out early warning setting on the network fault;
and sending the alarm information of the network fault to network management equipment so as to recheck the repair condition of the network fault through the network management equipment.
Optionally, the step of monitoring the traffic fault, the network performance, and the topology of the networking device network further includes:
adopting a NetFlow technology to carry out layered monitoring on the flow faults;
monitoring the network performance by adopting a simple network management protocol;
and monitoring the topological structure by adopting a topological discovery algorithm.
Optionally, the step of detecting the flow fault by NetFlow is as follows:
sending a control message protocol ICMP request message to a target node from a detection original point;
after the message reaches the router of the next hop, the IP address of each router is obtained through the IP address information in the IP header of the error message;
and continuing to execute the target node to send the ICMP request message until the ICMP response message of the target node is obtained, or stopping sending the ICMP request message when the detection times reach the upper limit.
Optionally, the monitoring the topological structure by using a topology discovery algorithm includes:
sequentially detecting each IP address by using an Internet packet finder in a preset IP interval, and recording the detected IP address into an IP address table;
performing route tracking operation on each IP address, recording the route of the IP address, and adding the gateway address in each route into an IP address table;
searching a subnet mask of each IP address in the IP address table by sending a mask request message and receiving a mask response message;
determining a subnet address of each IP address according to the subnet mask, and determining the network type of each subnet;
and adding each subnet address into an IP address table to obtain a domain name corresponding to each IP address in the IP address table.
Optionally, the monitoring the topology structure by using a topology discovery algorithm further includes:
and if the networking network equipment adopts the arrangement that a firewall forbids an Internet packet searcher, the network topology is perfected through the account book topology of the networking network equipment and the wave recording master station.
Optionally, the step of isolating the networking network device with the network fault after the diagnosis further includes: and evaluating the network capacity, network change and diagnosis results of the networking network equipment to prevent service paralysis caused by the simultaneous isolation of a plurality of network equipment.
On the other hand, this application provides a record ripples master station networking device network fault automatic recovery system, automatic recovery system includes: the monitoring center is connected with the monitoring station through the networking network equipment;
the monitoring center is configured to:
monitoring flow faults, network performance and a topological structure of a networking network device network, and storing monitoring data into a database, wherein the monitoring data comprises network flow data, network performance data and topological structure data;
carrying out fault mining on the monitoring data in the database, and diagnosing the found network fault;
networking network equipment with network faults after isolation diagnosis;
performing order establishment tracking on the isolated network faults, and performing statistical analysis on the networking network faults;
setting an automatic repair mechanism for the network fault tracked by the established order, and setting an automatic repair model for the network fault;
and repairing the network fault according to the set repairing model.
Optionally, the monitoring center is further configured to:
carrying out early warning setting on the network fault;
and sending the alarm information of the network fault to network management equipment so as to recheck the repair condition of the network fault through the network management equipment.
Optionally, the monitoring center is provided with a database server, an analysis server, a network management server and a release server, and the database server, the analysis server, the network management server and the release server are sequentially in communication connection.
According to the technical scheme, the method and the system for automatically repairing the network fault of the networking equipment of the power monitoring wave recording master station can monitor the network flow fault, the network performance and the network topology structure change by adopting a NetFlow technology, a simple network management protocol and a topology discovery algorithm, diagnose, isolate and statistically analyze the monitored data, and set a network fault automatic repair model according to the analysis result, so that the wave recording master station system automatically repairs the faulty network according to the set repair model. By adopting the method and the system, the problem of automatic repair when network faults occur in the networking network equipment in the operation process is solved. The operator is not required to find and position the fault point according to experience, and the production operation efficiency can be improved.
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In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments are briefly described below, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a flowchart of a method for automatically repairing a network fault of a networking device of a wave recording master station according to the present application;
FIG. 2 is a schematic diagram of an automatic network fault repairing method for a wave recording master station networking device;
FIG. 3 is a schematic view of network fault layered monitoring of a wave recording master station networking device;
fig. 4 is a visual schematic diagram of monitoring of network faults of the wave recording master station networking equipment.
Detailed Description
Reference will now be made in detail to embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following examples do not represent all embodiments consistent with the present application. But merely as exemplifications of systems and methods consistent with certain aspects of the application, as recited in the claims.
With the increasing variety and quantity of network devices, some network devices have a certain fault automatic repair capability, but still cause network quality influence for several minutes. Some devices cannot give any explicit alarm when transmitting data abnormally, and after receiving devices passively receive fault data, the receiving devices need to rely on manual detection of data problems, and then abnormal devices are screened out from mass network devices for isolation. Not only causes long-time fault influence, but also can not realize intelligent management by means of manual detection. Some network monitoring software, such as Netpalpus, netsense, erspan, etc., which can well meet the real-time monitoring requirements of users on network devices, are complex in functions and difficult to master by ordinary personnel, or are commercialized software, and high cost needs to be paid.
In order to solve the problems, the application provides a method and a system for automatically repairing network faults of networking equipment of a wave recording master station.
Firstly, the present application provides a method for automatically repairing a network fault of a networking device of a wave recording master station, and referring to fig. 1, it is a flow chart of a method for automatically repairing a network fault of a networking device of a wave recording master station. As shown in fig. 1 and fig. 2, the method for automatically repairing a network fault of a wave recording master networking device provided by the present application includes the following steps:
s1: monitoring the flow fault, the network performance and the topological structure of the networking equipment network, and storing monitoring data into a database, wherein the monitoring data comprises network flow data, network performance data and topological structure data.
The wave recording master station system monitors the network operation condition of the networking network equipment from three aspects of flow faults, network performance and topological structure, and stores the monitored network flow data, network performance data and topological structure data into a database. When the wave recording master station system monitors the network operation condition, the monitoring technology of the internet network is adopted, ten million levels of detection flow per minute is used for detecting a network data transmission link of the power system, and once the monitored data has problems, the data can be rapidly found.
S2: and carrying out fault mining on the monitoring data in the database, and diagnosing the found network fault.
And if the network flow and the network performance parameters in the monitoring data are abnormal and the topological structure is changed, the network has a fault. The network abnormal conditions mainly include network attack, misconfiguration, illegal P2P flow and the like, and the conditions directly occupy network bandwidth and influence the performance of network equipment. At the moment, the wave recording master station system utilizes big data and artificial intelligence to mine fault information and diagnose the found network fault. By performing relevance analysis on the abnormal traffic and the network event, the source of network fault generation can be diagnosed. In this embodiment, a traceroute detection tool is used to perform intelligent diagnosis on a network fault. Traceroute can check the time from the wave recording main station system to each sub-node router by monitoring the details of all the routing nodes passing between the wave recording main station system and the secondary equipment, and specifically find out which node between the wave recording main station system and the secondary equipment is delayed or blocked.
S3: and isolating the networking network equipment with the network fault after diagnosis.
After the wave recording master station system diagnoses the found network faults, the networking network with the network faults can be judged in real time, and networking network equipment with the network faults is isolated. In this embodiment, a manner of controlling routing transceiving is adopted to isolate networking network devices with network faults. In some embodiments, the port shielding and protocol modification can also be adopted to isolate the networking network device. The wave recording master station system network adopts a multi-level design, different levels are orthogonally interconnected, and networking network equipment with network faults is isolated by adopting a route control transceiving mode, so that the quick scheduling of equipment flow can be realized, the isolation of the equipment is automatically triggered, and the isolation operation is smooth enough. Because the network quality monitoring and fault positioning links have the possibility of errors, attention needs to be paid during isolation, and even if equipment is isolated by mistake, the network quality cannot be greatly influenced. The principle of isolation is that system mainstream traffic is not affected or network failures are not continuously deteriorated.
S4: and (5) performing order establishment tracking on the isolated network faults, and performing statistical analysis on the networking network faults.
After the wave recording master station system isolates networking network equipment with network faults, the fault equipment cannot continuously influence the operation of the whole system. At the moment, the recording master station system is set to build a list and track the isolated network faults, the tracked fault data is stored in a database, and the past network faults are classified through statistics and analysis of big data and artificial intelligence on the resource network data of the whole network equipment.
S5: setting an automatic repair mechanism for the network fault of the established order tracking, and setting an automatic repair model for the network fault.
After the network faults tracked by the established list are classified, the wave recording master station system sets an automatic repair mechanism for the network faults according to the types of the network faults and sets a common automatic repair model for the network faults.
S6: and repairing the network fault according to the set repairing model.
After the automatic repair model is set, the wave recording master station system can intelligently process network faults and repair the faulty network according to the set repair model, so that the faulty networking network equipment is recovered to be normal. Through analyzing and classifying the past network abnormity, the automatic repair mechanism of common network faults is set, and when existing faults in a fault library recur, the network faults are blocked, isolated and repaired through the automatic repair mechanism, so that the networking equipment network of the intelligent wave recording master station system has certain disaster tolerance and automatic repair capability, and the running stability of the networking equipment of the wave recording master station system is improved.
The method for automatically repairing the network fault of the wave recording master station networking equipment further comprises the following steps: carrying out early warning setting on the network fault; and sending the alarm information of the network fault to network management equipment so as to recheck the repair condition of the network fault through the network management equipment. After the networking network faults are subjected to order establishment tracking and statistical analysis in the wave recording master station system, besides setting an automatic repair mechanism for the network faults subjected to order establishment tracking, early warning setting is also carried out on the network faults subjected to order establishment tracking, and alarm information of the network faults is sent to network management equipment, and the network management equipment can check the repair condition of the network faults according to the alarm information, so that an operator can visually check whether the network faults are recovered.
The method for automatically repairing the network fault of the wave recording master station networking equipment further comprises the steps of monitoring the network operation condition of the networking equipment in the step S1 by adopting a NetFlow technology, monitoring the network performance by adopting a simple network management protocol, and monitoring the topological structure by adopting a topology discovery algorithm.
The NetFlow is a network protocol for collecting network flow information, and the flow state of the whole network equipment is monitored in real time by a method for monitoring network data flow, so that the network flow abnormity can be timely found, and the flow fault can be monitored. The NetFlow data flow is easy to read and manage, the occupation of network bandwidth resources is small, the data flow is sampled and the flow information is packaged through configuring networking network equipment, and a NetFlow data packet is formed and sent to a wave recording master station system for network flow analysis. The NetFlow technical method is less in constraint, convenient and fast to operate, low in cost and suitable for network flow analysis of the power monitoring system.
The NetFlow technology performs layered monitoring on traffic faults. Fig. 3 is a schematic view of layered monitoring of network faults of networking equipment of a wave recording master station. The wave recording main station system is divided into a plurality of wave recording substations, and each wave recording substation is connected with a plurality of wave recorders through network equipment. After the NetFlow technology is used for collecting the network flow data of the wave recorder, the NetFlow data flow can finally reach the wave recording main station through the network equipment and the wave recording substation. In this embodiment, the network device includes a telecontrol equipment, a router, and a switch. The NetFlow data flow is transmitted to a wave recording master station through network flow data of a telecontrol device, a router and a switch of a collection networking network, and the network flow data is analyzed in a layered mode to form layered monitoring.
Simple Network Management Protocol (SNMP) is a communication Protocol between a Network Management workstation and an agent. The SNMP runs a network management program in the wave recording master station system, runs an agent process on networking network equipment, the wave recording master station system accesses the agent to acquire the state of the wave recording networking network of the secondary equipment, the agent processes and responds to the request of the wave recording master station system, and the error message is utilized to send alarm information to the wave recording master station system. The agent can determine the Information provided by the wave recording main station system by a Management Information Base (MIB), set variable binding for inquiring the networking network performance parameters of the monitored secondary equipment, report the message to the wave recording main station system in a data response mode, and judge the networking network performance condition according to the specific parameter values in the message.
SNMP monitors the network performance of networking network equipment in a polling mode, and collects the communication condition on the network and the statistical data of related network equipment through agent software embedded in the network equipment. The agent software continuously collects statistical data and records the data on corresponding objects of the MIB, and the wave recording master station system can obtain network information of the objects by sending MIB variable query requests to the agent software, so that the problems of network congestion caused by DDos, worms, viruses and the like, packet loss, high time delay, network unavailability and the like caused by occupation of network resources and the like are solved.
Setting (Set) value of corresponding object on key network equipment agent of network group by using SNMP protocol, continuously obtaining (Get) value of corresponding object from network equipment agent, when the value of management information base MIB, such as CPU, memory occupancy rate, bandwidth occupancy rate, packet loss rate and round trip delay, has significant change, i.e. exceeds threshold value range, the agent of monitored network equipment can send out alarm information (Trap) to inform wave-recording main station system to make network performance fault diagnosis.
The topology discovery algorithm can acquire and maintain existence information of network nodes and connection relation information between network elements, can timely discover adjustment changes of a network structure, outlines the network topology structure in real time, is beneficial to positioning network faults and discovering network bottlenecks, and enables a wave recording master station system to monitor the current network condition in real time, so that the network is optimized and managed better.
In this embodiment, taking an Internet Control Message Protocol (ICMP) with a data Protocol packet type of 1 as an example, sending a node packet and returning a corresponding data packet under the limitation of Time To Live (TTL), where the step of detecting a network traffic fault is as follows:
s11: and sending an ICMP request message to the target node from the detection origin, wherein the survival time TTL =1 of the ICMP message.
S12: and after the message reaches the router of the next hop, executing TTL =1, if the TTL value is zero, discarding the message by the router, meanwhile, returning the ICMP error message to the source node by the router, and acquiring the IP address of the first-hop router by the IP address information in the IP header of the error message.
S13: and the source node sends the ICMP request message to the target node again, the TTL =2 of the ICMP request message, the TTL value of the message is subtracted by 1 after passing through one node, and the TTL is not equal to 0, so that the message is continuously forwarded. When passing through the second router, TTL =0, the message is discarded and then an ICMP error message is returned to the source node, so that the address information of the second router can be obtained.
S14: and continuing to execute the process, and sending an ICMP request message to the target node, wherein the TTL is increased progressively at the moment until the ICMP response message of the target node is obtained, or stopping sending the ICMP request message when the detection frequency reaches the upper limit, and terminating the detection of the network flow faults of each layer.
The meaning of the fault type parameter code of the ICMP message is shown in the following table:
the steps of monitoring the topological structure by adopting a topological discovery algorithm are as follows:
s111: in a preset IP interval, each IP address is sequentially detected by using an Internet Packet explorer (Packet Internet Groper, ping), and the detected IP addresses are recorded in an IP address table.
S112: and carrying out route tracking operation on each detected IP address, recording the route of the IP address, and adding the gateway address in each route into an IP address table.
S113: and searching a subnet mask of each IP address in the IP address table by sending a mask request message and receiving a mask response message.
S114: and determining the subnet address of each IP address according to the subnet mask, and determining the network type of each subnet.
S115: and adding each subnet address into the IP address table to obtain a domain name corresponding to each IP address in the IP address table. If the domain names are the same, the same network equipment is indicated to have a plurality of IP addresses.
For certain networking network equipment adopting firewall banning Ping setting, the network topology is perfected through the ledger topology of the networking network equipment and the wave recording master station.
The method for automatically repairing the network fault of the wave recording master station networking equipment further comprises the step of evaluating the networking network equipment. After the wave recording master station system diagnoses the network fault, before the step of isolating the networking network equipment with the fault is executed, the networking network equipment needs to be evaluated from the aspects of fault influence degree, network redundancy, safety, network capacity, network change, diagnosis results and the like, so that the service paralysis caused by the simultaneous isolation of a plurality of node network equipment is avoided.
And the wave recording master station system detects the number of gateway devices through which the NetFlow data flow passes between the system and the secondary device by adopting a traceroute tool. The communication connection number and the communication message number of each node are collected and recorded in real time through NetFlow, a communication flow load curve is counted by taking time as a coordinate, a visual view of network flow is provided, and the communication network flow condition of each node is monitored in real time. The network fault monitoring visualization of the intelligent wave recording master station system networking equipment is shown in fig. 4. Network faults of the wave recording master station networking equipment are monitored in a multi-dimensional monitoring, technical complementation and service linkage mode, and a basis is provided for analysis of the network faults of the power monitoring system.
In some embodiments, the present application further provides an automatic repair system for network failure of a wave recording master station networking device, where the system includes: the monitoring center is in communication connection with the monitoring station through the networking network equipment.
The monitoring center is a wave recording main station and a wave recording sub-station system. The wave recording sub-stations are parallel branches of the wave recording main station, one wave recording main station can comprise a plurality of wave recording sub-stations, and the wave recording main station is respectively in communication connection with the plurality of wave recording sub-stations and is a core part of the system. The monitoring center utilizes the NetFlow detection flow to comprehensively cover and detect the network of all the equipment of the main station networking, is responsible for the management and the maintenance of the wave recorder equipment in each monitoring station, has the control authority of the network in the monitoring station, can remotely control the equipment transmission network in the monitoring station, and realizes the automation of network management.
The networking network device is a network device through which the monitoring data is transmitted to the monitoring center after being collected, and in the embodiment, the networking network device comprises a telecontrol device, a router, a switch and a power dispatching data network. The network abnormity is monitored in real time by performing NetFlow detection, SNMP configuration and topology discovery on networking network equipment, analyzing a network flow log and monitoring the network performance condition and the topology structure change. In some embodiments, the networking network devices may be one group or multiple groups.
The oscillograph is basic corollary equipment for collecting wave recording data in a transformer substation and is a key object for monitoring a monitoring station network. The wave recorder is in communication connection with the wave recording master station through networking network equipment. In some embodiments, a group of network devices may be connected to multiple wave recorders, a network monitoring station is set in units of single group of network devices, and network data of multiple wave recorders connected to each group of network devices are monitored respectively, so that monitoring functions such as a traffic load curve, performance fluctuation, and topology change can be realized.
The application provides a record wave main website network equipment network fault automatic recovery system does the following configuration to the surveillance center:
monitoring flow faults, network performance and a topological structure of a networking network equipment network, and storing monitoring data into a database, wherein the monitoring data comprises network flow data, network performance data and topological structure data;
carrying out fault mining on the monitoring data in the database, and diagnosing the found network fault;
networking network equipment with network faults after isolation diagnosis;
performing order establishment tracking on the isolated network faults, and performing statistical analysis on the networking network faults;
setting an automatic repair mechanism for the network fault tracked by the established order, and setting an automatic repair model for the network fault;
and repairing the network fault according to a set repairing model.
In some embodiments, the monitoring center is further configured to:
carrying out early warning setting on the network fault; and sending the alarm information of the network fault to network management equipment so as to recheck the repair condition of the network fault through the network management equipment.
The automatic repair of the network fault of the networking network equipment is realized through the configuration.
The automatic network fault repairing system for the wave recording master station networking equipment further comprises a database server, an analysis server, a network management server and a release server, wherein the servers are connected in sequence through IP and are arranged in the monitoring center. The database server is used for storing the acquired wave recording data and system information; the analysis server utilizes the big data and artificial intelligence to mine fault information and diagnose network faults; the network management server is used for counting the network data of the network equipment resources of the whole network and setting a self-healing model of common network faults; and the issuing server pushes the network fault information to a network manager through a Web or short message platform.
It should be noted that the grid connection should be switched back in time after the fault equipment is repaired, and before the equipment is switched back to the grid connection, whether the equipment fault is completely repaired needs to be verified so as to prevent the network quality from being influenced again after the equipment is switched back. In order to reduce the influence on the whole networking network equipment as much as possible, the equipment after fault recovery switches back and waits for the idle period to change the window operation. Part of the flow can be transferred to the equipment as required, whether the abnormality still exists is confirmed, and then the flow is gradually increased to the equipment until the complete synchronization is realized.
The wave recording master station system can realize second-level quick positioning of abnormal network fault points and automatic repair of network transmission link faults by adopting a NetFlow technology, configuring an SNMP (simple network management protocol) and adopting a topology discovery algorithm, and the accuracy rate reaches over 95 percent. The currently proposed network fault self-healing scheme with the NetFlow detection capability can realize second-level network self-healing.
From the above embodiments, the embodiment of the present application provides an automatic repair method for a network fault of a wave recording master networking device. And acquiring flow data, performance data and topological structure change by using a NetFlow technology, an SNMP protocol and a topology discovery algorithm. After the discovered network fault is isolated, diagnosed and analyzed, an automatic repair model of the network fault is set, and the network equipment with the fault is automatically repaired according to the set repair model. The embodiment of the application also provides an automatic network fault repairing system for the wave recording master station networking equipment, which is used for automatically repairing the network fault of the wave recording master station networking equipment by applying the automatic network fault repairing method for the wave recording master station networking equipment, so that in the whole process, operators are not required to continuously monitor and troubleshoot network equipment in key links, and the operating efficiency can be effectively improved.
The embodiments provided in the present application are only a few examples of the general concept of the present application, and do not limit the scope of the present application. Any other embodiments extended according to the scheme of the present application without inventive efforts will be within the scope of protection of the present application for a person skilled in the art.
Claims (10)
1. A method for automatically repairing network faults of wave recording master station networking equipment is characterized by comprising the following steps:
monitoring flow faults, network performance and a topological structure of a networking network equipment network, and storing monitoring data into a database, wherein the monitoring data comprises network flow data, network performance data and topological structure data;
carrying out fault mining on the monitoring data in the database, and diagnosing the found network fault;
networking network equipment with network faults after isolation diagnosis;
performing order establishment tracking on the isolated network faults, and performing statistical analysis on the networking network faults;
setting an automatic repair mechanism for the network fault tracked by the established order and setting an automatic repair model for the network fault;
and repairing the network fault according to the set repairing model.
2. The method for automatically repairing the network fault of the wave recording master station networking equipment according to claim 1, wherein the step of performing order establishment tracking on the isolated network fault and performing statistical analysis on the networking network fault further comprises the following steps:
carrying out early warning setting on the network fault;
and sending the alarm information of the network fault to network management equipment so as to recheck the repair result of the network fault through the network management equipment.
3. The method for automatically repairing the network fault of the networking equipment of the wave recording master station according to claim 1, wherein the step of monitoring the flow fault, the network performance and the topological structure of the networking equipment network further comprises the steps of:
adopting a NetFlow technology to carry out layered monitoring on the flow faults;
monitoring the network performance by adopting a Simple Network Management Protocol (SNMP);
and monitoring the topological structure by adopting a topological discovery algorithm.
4. The method for automatically repairing the network fault of the wave recording master station networking device according to claim 3, wherein the step of detecting the flow fault by NetFlow is as follows:
sending a control message protocol ICMP request message to a target node by a detection origin;
after the message reaches the router of the next hop, the IP address of each router is obtained through the IP address information in the IP header of the error message;
and continuing to execute the target node to send the ICMP request message until the ICMP response message of the target node is obtained, or stopping sending the ICMP request message when the detection times reach the upper limit.
5. The method of claim 3, wherein the monitoring the topology structure by using a topology discovery algorithm comprises:
in a preset IP interval, sequentially detecting each IP address by using an Internet packet detector, and recording the detected IP address into an IP address table;
performing route tracking operation on each IP address, recording the route of the IP address, and adding the gateway address in each route into an IP address table;
searching a subnet mask of each IP address in the IP address table by sending a mask request message and receiving a mask response message;
determining a subnet address of each IP address according to the subnet mask, and determining the network type of each subnet;
and adding each subnet address into the IP address table to obtain a domain name corresponding to each IP address in the IP address table.
6. The self-healing method for network fault of wave recording master station networking device according to claim 5, wherein monitoring the topology structure by using a topology discovery algorithm further comprises:
if the networking network equipment adopts the arrangement that a firewall forbids an Internet packet searcher, the network topology is perfected through the ledger topology of the networking network equipment and the wave recording master station.
7. The method for automatically repairing the network fault of the networking equipment of the wave recording master station according to claim 1, wherein the step of isolating the networking equipment with the network fault after diagnosis further comprises the following steps: and evaluating the network capacity, network change and diagnosis results of the networking network equipment to prevent service paralysis caused by the simultaneous isolation of a plurality of network equipment.
8. The utility model provides a record wave main website network equipment network fault automatic recovery system which characterized in that includes: the monitoring center is connected with the monitoring station through the networking network equipment;
the monitoring center is configured to:
monitoring flow faults, network performance and a topological structure of a networking network equipment network, and storing monitoring data into a database, wherein the monitoring data comprises network flow data, network performance data and topological structure data;
performing fault mining on the monitoring data in the database, and diagnosing the found network fault;
networking network equipment with network faults after isolation diagnosis;
performing order establishment tracking on the isolated network faults, and performing statistical analysis on the networking network faults;
setting an automatic repair mechanism for the network fault tracked by the established order and setting an automatic repair model for the network fault;
and repairing the network fault according to a set repairing model.
9. The system of claim 8, wherein the monitoring center is further configured to:
carrying out early warning setting on the network fault;
and sending the alarm information of the network fault to network management equipment so as to recheck the repair condition of the network fault through the network management equipment.
10. The system of claim 8, wherein the monitoring center is provided with a database server, an analysis server, a network management server and a distribution server, and the database server, the analysis server, the network management server and the distribution server are in communication connection in sequence.
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