CN114401186A

CN114401186A - End-to-end fault determination method and system in customized network

Info

Publication number: CN114401186A
Application number: CN202111652391.1A
Authority: CN
Inventors: 兰舒楠; 王文博; 李斌; 马小舟; 焦金宁
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2021-12-30
Filing date: 2021-12-30
Publication date: 2022-04-26

Abstract

The embodiment of the invention provides a method and a system for determining end-to-end faults in a customized network, wherein the method comprises the following steps: acquiring fault information of a customized network; inquiring a pre-established fault pre-judgment knowledge base and a customized network networking database according to the fault information, and determining fault equipment and a target fault type which have faults, wherein the customized network networking database stores the topological relation of each equipment in the customized network, and the fault pre-judgment knowledge base stores the fault type of each equipment in the customized network; and outputting the identification of the fault equipment and the target fault type. Therefore, the fault equipment is positioned, and the efficiency of analyzing and processing the fault is improved.

Description

End-to-end fault determination method and system in customized network

Technical Field

The invention relates to the technical field of internet application, in particular to a method and a system for determining end-to-end faults in a customized network.

Background

With transformation innovation and industry fusion of various industries, the traditional independently deployed industry dedicated network cannot meet the requirements of different industries on digital transformation. Based on the gradual maturity of 5G Technology (fifth Generation Mobile Communication Technology), its characteristics of low latency, high bandwidth, high reliability, wide coverage, etc. provide a better environment for industrial transformation applications. Based on this, the customized 5G network for exclusive customization of each industry comes to the end, and compared with the traditional industry private network, the customized 5G network has the advantages of deep and exclusive share of network resources, rich 5G terminal scenes and the like.

In the application process of the traditional industry private network, when a fault occurs, the position of the fault equipment can be positioned on a network management platform through a private network number, but the 5G customized network is a fusion solution for fusing a network, edge calculation, an application platform and the like, and the network architecture is determined to be far more complicated than that of the traditional industry private network. Therefore, when the 5G customized network is faced with a failure occurrence, it is difficult to efficiently perform failure localization.

Disclosure of Invention

The embodiment of the invention aims to provide an end-to-end fault determining method and system in a customized network, so as to realize efficient positioning of faults in the customized network. The specific technical scheme is as follows:

in a first aspect, an embodiment of the present invention provides a method for determining an end-to-end fault in a customized network, where the method includes:

acquiring fault information of a customized network;

inquiring a pre-established fault pre-judgment knowledge base and a customized network networking database according to the fault information, and determining fault equipment and a target fault type which have faults, wherein the customized network networking database stores the topological relation of each equipment in the customized network, and the fault pre-judgment knowledge base stores the fault type of each equipment in the customized network;

and outputting the identification of the fault equipment and the target fault type.

In one possible embodiment, the method further comprises:

acquiring and establishing a network topology model of a customized network according to attribute information of each device in the customized network and a network structure of the customized network;

establishing a data flow analysis model representing the routing relation and the response result between the devices in the customized network according to the calling logic of the devices in the customized network;

inputting the network topology model and the data flow analysis model of the customized network into a customized network networking database;

and acquiring and establishing a fault prejudgment knowledge base according to the application scene example, the technical performance index and the product performance index of the customized network.

In a possible implementation manner, the customized network includes an operator network and a customer intranet, and the network topology model of the customized network includes an operator network element device routing topology model and a customer intranet structure topology model;

the obtaining and establishing a network topology model of the customized network according to the attribute information of each device in the customized network and the network structure of the customized network includes:

acquiring attribute information of each network element device in an operator network and an operator network structure;

establishing a routing topology model of the operator network element equipment according to the attribute information of each network element equipment in the operator network and the network structure of the operator network;

acquiring attribute information of each terminal device in a client intranet and a client intranet network structure;

and establishing a client intranet structure topological model according to the attribute information of each terminal device in the client intranet and the client intranet network structure.

In a possible implementation manner, the attribute information of the terminal device includes at least one of a terminal type, a terminal IP address, number card information, a service scenario, and a service server address of the terminal device, and the method further includes:

and respectively carrying out standardization processing on the attribute information of each terminal device to obtain standardized registration document information of each terminal device.

In a possible implementation manner, the establishing a routing topology model of an operator network element device according to attribute information of each network element device in the operator network and an operator network structure includes:

and establishing a network element equipment topological structure and a routing topological structure according to the attribute information of each network element equipment in the operator network and the operator network structure to obtain an operator network element equipment routing topological model.

In a possible implementation manner, the establishing, according to the call logic of the devices in the customized network, a data flow analysis model representing a routing relationship and a response result between the devices in the customized network includes:

tracing trace of each terminal device in the client intranet of the customized network under each application scene to obtain the trace result of each terminal device under the application scene;

analyzing trace results of each terminal device in each application scene to obtain a routing relation and a response result corresponding to each terminal device in the application scene;

and respectively carrying out standardization processing on the routing relation and the response result corresponding to each terminal device in each application scene to obtain a data flow analysis model.

In a possible implementation manner, the obtaining and establishing a failure prediction knowledge base according to the application scenario instance, the technical performance index, and the product performance index of the customized network includes:

acquiring technical performance indexes of the customized network, analyzing the technical performance indexes, and determining each fault type related to the technical performance indexes;

obtaining the product performance index of the customized network, analyzing the product performance index, and determining each fault type related to the product performance index;

acquiring an application scene instance of the customized network, analyzing the application scene instance, and determining each fault type related to the application scene instance;

and carrying out standardization processing on each fault type, and adding the fault types into a fault pre-judgment knowledge base.

In one possible embodiment, the method further comprises:

and acquiring the fault type of the fault actually generated in the operation process of the customized network.

In a possible implementation manner, the failure pre-judgment knowledge base further includes a processing scheme for each failure type; the method further comprises the following steps:

inquiring the fault pre-judgment knowledge base to determine a processing scheme of the target fault type;

and outputting the processing scheme of the target fault type.

In one possible embodiment, the method further comprises:

and transmitting the fault information of the customized network measured and sent by the user by using a visual fault feedback platform.

In a second aspect, an embodiment of the present invention further provides a system for determining an end-to-end fault in a customized network, where the system includes:

the customized network networking database is used for storing the topological relation of each device in the customized network;

the fault pre-judgment knowledge base is used for storing the fault type of each device in the customized network;

the fault pre-judging analysis module is used for acquiring fault information of the customized network; inquiring the fault pre-judgment knowledge base and the customized network networking database according to the fault information, and determining fault equipment with a fault and a target fault type;

and the fault processing module is used for outputting the identifier of the fault equipment and the target fault type.

In one possible embodiment, the system further comprises a raw data modeling module for:

In a possible implementation manner, the customized network includes an operator network and a customer intranet, and the network topology model of the customized network includes an operator network element device routing topology model and a customer intranet structure topology model; the raw data modeling module is specifically configured to:

In one possible embodiment, the raw data modeling module is further configured to:

In a possible implementation, the raw data modeling module is specifically configured to:

In one possible embodiment, the raw data modeling module is further configured to: and acquiring the fault type of the fault actually generated in the operation process of the customized network.

In a possible implementation manner, the failure pre-judgment knowledge base further includes a processing scheme for each failure type;

the failure prejudgment analysis module is further configured to: inquiring the fault pre-judgment knowledge base to determine a processing scheme of the target fault type;

and the fault processing module is also used for outputting the processing scheme of the target fault type.

In one possible embodiment, the system further comprises:

and the visual fault feedback platform module is used for transmitting the fault information of the customized network measured and sent by the user.

In a third aspect, an embodiment of the present invention further provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus;

a memory for storing a computer program;

and a processor, configured to implement the end-to-end fault determination method in the customized network according to any of the present application when executing the program stored in the memory.

In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the method for determining an end-to-end fault in a customized network is implemented as described in any one of the present application.

The embodiment of the invention has the following beneficial effects:

the method and the system for determining the end-to-end fault in the customized network, provided by the embodiment of the invention, are used for acquiring the fault information of the customized network; inquiring a pre-established fault pre-judgment knowledge base and a customized network networking database according to the fault information, and determining fault equipment and a target fault type which have faults, wherein the customized network networking database stores the topological relation of each equipment in the customized network, and the fault pre-judgment knowledge base stores the fault type of each equipment in the customized network; and outputting the identification of the fault equipment and the target fault type. Therefore, the fault equipment is positioned, and the efficiency of analyzing and processing the fault is improved. Of course, not all of the advantages described above need to be achieved at the same time in the practice of any one product or method of the invention.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained by referring to these drawings.

Fig. 1 is a schematic flowchart of a first method for determining an end-to-end fault in a customized network according to an embodiment of the present invention;

fig. 2a is a schematic flowchart of a second method for determining an end-to-end fault in a customized network according to an embodiment of the present invention;

fig. 2b is an exemplary diagram of an association relationship between an MEC example and a server in a customized web according to an embodiment of the present invention;

fig. 3a is a schematic flowchart of one possible implementation manner of step S21 according to an embodiment of the present invention;

FIG. 3b is a diagram illustrating an exemplary structure of a customized network topology according to an embodiment of the present invention;

fig. 4a is a schematic flowchart of one possible implementation manner of step S22 according to an embodiment of the present invention;

fig. 4b is an exemplary diagram of a trace reference result of a terminal according to an embodiment of the present invention;

fig. 5a is a schematic flowchart of one possible implementation manner of step S24 according to an embodiment of the present invention;

FIG. 5b is an exemplary diagram of a failure prediction knowledge base map according to an embodiment of the present invention;

fig. 6a is a schematic flowchart of a third method for determining an end-to-end fault in a customized network according to an embodiment of the present invention;

fig. 6b (1), fig. 6b (2), and fig. 6b (3) are exemplary diagrams of the visual fault feedback platform provided by the embodiment of the present invention;

fig. 7 is a schematic structural diagram of an end-to-end fault determination system in a customized network according to an embodiment of the present invention;

FIG. 8 is an exemplary diagram of a system for end-to-end fault determination in a customized network according to an embodiment of the present invention;

fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived from the embodiments given herein by one of ordinary skill in the art, are within the scope of the invention.

Due to the fact that a 5G customized network is deeply fused with a customer intranet, the networking structure is complex, the terminal scene type and the number of devices are large, the fault cannot be located by the scheme that a traditional industry intranet directly obtains the state of a client through a network management platform of an operator, the description of fault devices, the fault scale, the fault phenomenon and the like is difficult, the fault location and the subsequent analysis and processing are not timely enough, and the perception of customers can be affected. In order to solve the problem, embodiments of the present invention provide a method and a system for determining an end-to-end fault in a customized network.

The method for determining an end-to-end fault in a customized network provided by the embodiment of the present invention is described in detail by specific embodiments below.

The method is applied to the intelligent terminal and can be implemented through the intelligent terminal, and in the actual use process, the intelligent terminal can be a computer, a mobile phone, a server and the like.

Referring to fig. 1, a schematic flow chart of a first method for determining an end-to-end fault in a customized network in the embodiment of the present invention is provided, where the method includes:

step S11: and acquiring fault information of the customized network.

When a fault occurs in the customized network, firstly, fault information of the customized network is obtained, wherein the fault information comprises the specific situation of the fault occurring at this time.

Step S12: and inquiring a pre-established fault pre-judgment knowledge base and a customized network networking database according to the fault information, and determining the fault equipment and the target fault type which have faults.

The customized network networking database stores the topological relation of each device in the customized network, and the fault pre-judging knowledge base stores the fault type of each device in the customized network.

The topological relation of each device represents the position of each device and the relation among the devices, and can be obtained in advance; the fault type of each device may include a historical fault phenomenon, a processing result of the historical fault, an analysis processing opinion corresponding to each fault type, and the like, or may be acquired in advance. And storing the two in a customized network networking database and a failure prejudgment knowledge base respectively.

After the fault information is obtained, the fault equipment with the fault is inquired through a pre-established customized network networking database, and the identifier of the fault equipment is obtained and used for representing the fault equipment. And determining the fault type of the fault through a pre-established fault pre-judgment knowledge base to obtain a target fault type.

In one example, the target failure type may include a possible cause of failure occurrence, a suggested processing scheme, an optimization measure, and the like, and may represent a preliminary determination of the failure.

Step S13: and outputting the identification of the fault equipment and the target fault type.

And outputting the identifier of the fault equipment and the target fault type after obtaining the identifier of the fault equipment and the target fault type, so that operation and maintenance personnel can process the fault in time. For example, if the target failure type is a failure of a network element on the client intranet side, an engineer on the client intranet may be notified to perform processing.

As can be seen from the above, according to the end-to-end fault determining method in the customized network provided by the embodiment of the present invention, after the fault information of the customized network is obtained, the fault equipment and the target fault type having the fault are determined by querying the pre-established fault pre-judgment knowledge base and the customized network networking database, so that the location of the fault equipment is quickly located, the fault processing scheme can be quickly determined according to the target fault type, the time length for end-to-end fault troubleshooting and location and fault analysis processing is shortened, the efficiency for fault location and fault analysis processing is improved, the reliability of the customized network is further enhanced, and the experience perception of the customer is improved.

In an embodiment of the present invention, referring to fig. 2a, a flowchart of a second method for determining an end-to-end fault in a customized network in the embodiment of the present invention is provided, where the method includes:

step S21: and acquiring and establishing a network topology model of the customized network according to the attribute information of each device in the customized network and the network structure of the customized network.

The attribute information of each device in the customized network may include information indicating the characteristics of each device, such as the type of the device, the address where the device is located, and the like. The network structure of the customized network may include a network architecture, a location relationship between devices, a connection relationship, and the like. And establishing a network topology model of the customized network by combining the attribute information of each device in the customized network and the network structure of the customized network.

Since the 5G customized networking mode includes two different networking structures of NSA (Non-standard one) and SA (standard one). NSA refers to coexistence of a 4G (4th Generation Mobile Communication Technology, fourth Generation Mobile Communication Technology) base station and a 5G base station on a wireless side, and a core network adopts a networking architecture of a 4G core network or a 5G core network; the SA means that the wireless side adopts a 5G base station, and the core network adopts a networking architecture of a 5G core network. Therefore, the network topology model of the customized network needs to be established respectively according to the respective characteristics of different types of networking structures.

Step S22: and establishing a data flow analysis model representing the routing relation and the response result between the devices in the customized network according to the calling logic of the devices in the customized network.

The call logic of the devices in the customized network comprises the routing relation, the response result and the like among the devices, and can be obtained by analyzing the call logic of each device in the customized network when the history of each device is applied to each application scene. In one example, the MEC (Multi-Access Edge Computing, Edge Computing technology) may be used to analyze and calculate each device, analyze a data flow graph of each device in a historical application scene, obtain routing data of each device in each application scene, further obtain a coordination relationship between the MEC example of each device and a server in the customized network, and thus obtain a call logic of each device in the customized network.

As shown in fig. 2b, fig. 2b is a diagram illustrating an example of the relationship between the MEC algorithm and the server in the customized network, according to which the call logic of each device in the customized network can be obtained.

The server refers to a server, the mysql refers to a relational database management system, the InflexDB refers to open source time sequence data, the mqtt refers to message queue telemetry transmission, the browser refers to a browser protocol mode, the PLC refers to a programmable logic controller, and the VPN refers to a virtual private network.

After the call logic of each device in the customized network is obtained, a data flow analysis model of the customized network can be obtained according to the call logic.

Step S23: and inputting the network topology model of the customized network and the data flow analysis model into a customized network networking database.

And after the network topology model and the data flow analysis model of the customized network are obtained, both are recorded into a customized network networking database.

In one example, when attribute information of each device in the customized network, a network structure of the customized network, and a call logic of the device in the customized network are updated, a network topology model and a data flow analysis model of the customized network need to be updated correspondingly, and then the updated network topology model and data flow analysis model of the customized network are recorded into a customized network database to update the customized network database.

In one example, the customized web networking database may be built using PostgreSQL (a fully featured, free-software object-relational database management system) and data connection is established via mybatis framework (a persistent framework).

Step S24: and acquiring and establishing a fault prejudgment knowledge base according to the application scene example, the technical performance index and the product performance index of the customized network.

The application scene example of the customized network comprises actual application cases of historical customers, the technical performance indexes comprise performance indexes of key technologies at each end of the 5G network, the product performance indexes comprise preset 5G customized network product performance indexes, and after the three indexes are obtained, a fault pre-judgment knowledge base can be established according to the three indexes.

As can be seen from the above, the method for determining an end-to-end fault in a customized network provided in the embodiments of the present invention records the network topology model and the data flow analysis model of the customized network into the customized network networking database, so that when a fault occurs, the network structure of the customized network and the attribute information, the call logic, the path relation and the response result of each device can be obtained through the customized network networking database, and then the fault location is quickly located, and meanwhile, the fault pre-judgment knowledge base is established, so that the operation and maintenance staff can effectively analyze and process the fault based on the quick response, thereby optimizing the network performance of the customized network.

In an embodiment of the present invention, the customized network includes an operator network and a customer intranet, and the network topology model of the customized network includes an operator network element device routing topology model and a customer intranet structure topology model.

In a possible implementation manner, referring to fig. 3a, the step S21 of obtaining and establishing a network topology model of a customized network according to attribute information of each device in the customized network and a network structure of the customized network includes:

step S31: and acquiring attribute information of each network element device in the operator network and the network structure of the operator network.

Step S32: and establishing a routing topology model of the operator network element equipment according to the attribute information of each network element equipment in the operator network and the network structure of the operator network.

The attribute information of each network element device in the operator network may include information that can indicate characteristics of each network element device, such as a type of the device, an address where the device is located, and the like. The network structure of the operator network may include a network architecture, a location relationship between network element devices, a connection relationship, and the like. And establishing a topological structure of each network element device in the operator network by combining the attribute information of each network element device in the operator network and the network structure of the operator network.

In an embodiment of the present invention, a network element device topology structure and a routing topology structure are established according to attribute information of each network element device in the operator network and an operator network structure, so as to obtain an operator network element device routing topology model.

In the embodiment of the invention, the operator network further obtains the routing topological structure according to the routing relation among the network element devices, and establishes the routing topological model of the network element devices of the operator network by combining the obtained topological structure of the network element devices and the obtained routing topological structure in the operator network.

As shown in fig. 3b, fig. 3b shows an exemplary diagram of a customized web network topology structure diagram, including a customer intranet structure topology model and a carrier network device routing topology model.

The customized network adopts MEC sinking, that is, base station resources, a flexible Ethernet (Flex Ethernet) slice of a bearer network and UPF (User Plane Function) resources are networking modes of client exclusive resources, so as to realize high-reliability low-delay Service and promote a key SLA (Service Level Agreement), that is, a key performance index and a Service Level Agreement.

An End of Row (End of Row) EOR (network architecture) is established in an operator network structure, that is, a network cabinet (may be one or one at the beginning and the End) is configured at an edge of each Row of cabinets to provide a uniform network access point), a gateway PW (pseudo wire), a GPU (graphics processing unit), a storage server, and other network element devices.

Secondly, establishing a network element topological structure of a wireless network, a bearer network and a core network in an operator network structure, wherein: the wireless network element topological structure comprises equipment information such as a station address code, a base station ID (Identity document), an equipment type, a base station state and the like of a wireless base station; the network topology information of the bearing network comprises base station convergence A equipment information, bearing network element equipment information, routing addresses, transmission bandwidth, slice types and the like; the topology structure of the core network element includes a DC-GW (Domain Controller-Gateway) device, a core network element device, a core machine room location, and the like. And deploying the network element topological structures of the wireless network, the bearer network and the core network according to network function virtualization. Thereby obtaining the UPF structure, AMF (Access and Mobility Management Function) structure, and interface connection relationship of the operator network. Thereby obtaining a complete operator network topology model.

In addition, the digital codes shown in fig. 3b are all IP addresses corresponding to each device, the SIM (Subscriber Identity Module) corresponds to a mobile communication terminal of a general Subscriber, the RH2288 is a server, and the EOR (End of Row, a network architecture) is a network cabinet (which may be one or one from the beginning to the End) provided at an edge of each Row of cabinets, so as to provide a uniform network access point.

Step S33: acquiring attribute information of each terminal device in a client intranet and a client intranet network structure;

step S34: and establishing a client intranet structure topological model according to the attribute information of each terminal device in the client intranet and the client intranet network structure.

The attribute information of each terminal device in the client intranet may include information that can indicate the characteristics of each terminal device, such as the type of the device, the address where the device is located, and the like. The client intranet network structure may include a network architecture, a location relationship between terminal devices, a connection relationship, and the like. And establishing a client intranet structure topological structure by combining the attribute information of each terminal device in the client intranet and the client intranet network structure.

In an embodiment of the present invention, the attribute information of the terminal device includes at least one of a terminal type, a terminal IP (Internet Protocol) address, number card information, a service scenario, and a service server address of the terminal device.

The method further comprises the following steps: and respectively carrying out standardization processing on the attribute information of each terminal device to obtain standardized registration document information of each terminal device.

In one example, the customer intranet structure topology model and the operator network element device routing topology model are further analyzed respectively to obtain device location information, routing information, device states, resource states and the like, standardized processing is performed on the device location information, the routing information, the device states, the resource states and the like according to preset standards of an operator resource management system and a fault handling system to obtain standardized registration document information of each device, and then the standardized registration document information is recorded into a customized network networking database.

As can be seen from the above, the method for determining an end-to-end fault in a customized network according to the embodiments of the present invention establishes a routing topology model of network element devices of an operator according to attribute information of each network element device in the operator network and a network structure of the operator network, and then establishes a topology model of a client intranet structure according to attribute information of each terminal device in a client intranet and a network structure of the client intranet, so that the established routing topology model of the network element devices of the operator and the established information in the topology model of the client intranet structure can be completed as much as possible, and the accuracy of fault location when a fault occurs can be improved.

In a possible implementation manner, referring to fig. 4a, the step S22 is to establish a data flow analysis model representing routing relationships and response results between devices in the customized network according to the call logic of the devices in the customized network, including:

step S41: tracing trace of each terminal device in the client intranet of the customized network under each application scene to obtain the trace result of each terminal device under the application scene;

step S42: analyzing trace results of each terminal device in each application scene to obtain a routing relation and a response result corresponding to each terminal device in the application scene;

step S43: and respectively carrying out standardization processing on the routing relation and the response result corresponding to each terminal device in each application scene to obtain a data flow analysis model.

trace is a computer term that represents the HTTP (hypertext Transfer Protocol) approach used to debug web server connections. For each application scene, tracing trace is carried out on each terminal device in the client intranet of the customized network under the application scene to obtain trace results of each terminal device under the application scene, the trace results are analyzed to obtain routing relationships and response results corresponding to each terminal device under the application scene, and then the routing relationships and the response results are recorded into a standardized form to obtain a data flow analysis model.

In one example, the trace result may be analyzed by comparing the trace result with a preset expected result to obtain an analysis result.

As shown in fig. 4b, fig. 4b shows an exemplary diagram of a terminal trace reference result.

As can be seen from the above, the end-to-end fault determining method in the customized network provided in the embodiments of the present invention performs server connection debugging on each terminal device in the client intranet of the customized network in each application scenario, and performs standardized processing on the routing relationship and the response result obtained after debugging, so that the call logic of each device included in the data flow analysis model is completed as much as possible, thereby improving the accuracy of fault location when a fault occurs.

In a possible implementation manner, referring to fig. 5a, the step S24 of obtaining and establishing a failure prediction knowledge base according to the application scenario instance, the technical performance index, and the product performance index of the customized network includes:

step S51: and acquiring the technical performance index of the customized network, analyzing the technical performance index, and determining each fault type related to the technical performance index.

The analyzing of the technical performance index may be analyzing a key technology and a technical scheme of each end of the 5G network, such as a deployment strategy, a frequency point grid, and an air interface protocol of a New air interface NR (New Radio) technology on a wireless side in a frequency spectrum; CP-OFDM (Cyclic Prefix Orthogonal Frequency Division Multiplexing based) multiple access technology; the wireless network side meets the technical scheme of different service quality service flow performance requirements, such as QAM modulation (quadrature amplitude modulation), channel coding, and the like; the Flexe slice type and the technical scheme comprise low-delay performance parameters, clock synchronization requirements, access loop bandwidth capacity, an optical fiber access mode and the like, and deployment strategies of forward transmission and intermediate transmission; the method comprises the steps of a core network cloud architecture, an MEC convergence deployment strategy, an AMF/UPF communication interface protocol, an NFV network virtualization technology, OpenStack (an open source cloud computing management platform project) related components and the like.

And determining nodes and an optimization scheme which may cause faults and reduce network performance in the key technology to obtain each fault type related to the technical performance index.

Step S52: and acquiring the product performance index of the customized network, analyzing the product performance index, and determining each fault type related to the product performance index.

The performance index of the customized network product can be analyzed according to the service scene, networking equipment type and the like of the historical customized network product, and each fault type related to the performance index of the product is obtained. In one example, the relevant maintenance information provided by the equipment manufacturer is also included.

Step S53: acquiring an application scene instance of the customized network, analyzing the application scene instance, and determining each fault type related to the application scene instance;

the analysis of the application scenario example of the customized network can be to combine the actual application cases of the historical customer services to meet the key SLA standard, for example, the SLA standard requirement of the customized network product reaches 99.999%, that is, the annual interruption time of a single base station is about 5.25 minutes. And analyzing basic performance, functional requirements and usability requirements of the customized network, such as high-definition video media quality code rate, frame rate, resolution, presentation quality delay, initial delay and the like. Thereby obtaining the fault types related to the application scene instances of the customized network.

Step S54: and carrying out standardization processing on each fault type, and adding the fault types into a fault pre-judgment knowledge base.

In an embodiment of the present invention, a fault type of a fault actually occurring in the operation process of the customized network is further obtained.

The fault type of the fault actually occurring in the operation of the customized network is obtained, which can include corresponding fault phenomena, reasons, processing schemes, fault processing results and the like, and the fault types are input into a fault pre-judgment knowledge base to form continuous accumulation and expansion of knowledge.

As shown in fig. 5b, an exemplary diagram of a failure anticipation knowledge base map is shown in fig. 5 b.

As can be seen from the above, the end-to-end fault determining method in the customized network provided by the embodiment of the present invention analyzes the technical performance index, the product performance index, and the application scenario example of the customized network respectively to determine each fault type related to the customized network, standardizes the obtained fault types, and adds the fault types to the fault pre-judgment knowledge base, so that the fault types included in the obtained fault pre-judgment knowledge base are as rich as possible, and a target fault type can be determined quickly based on the actual occurrence of a fault.

In an embodiment of the present invention, the failure pre-judgment knowledge base further includes a processing scheme for each failure type; referring to fig. 6a, the above method further comprises:

step S61: inquiring the fault pre-judgment knowledge base to determine a processing scheme of the target fault type;

step S62: and outputting the processing scheme of the target fault type.

Therefore, the method for determining an end-to-end fault in a customized network provided by the embodiment of the invention can determine the type of the target fault and the corresponding processing scheme thereof by inquiring the fault pre-judgment knowledge base, so that the fault can be quickly responded when occurring, and the fault can be timely judged and processed.

In an embodiment of the present invention, the method further includes:

In the embodiment of the invention, the visual fault feedback platform is used for transmitting the fault information of the customized network measured and sent by the user, and the results of fault duration analysis and fault quantity statistical analysis can be visually output, so that the real-time tracking of the fault processing state is realized.

In one example, the visual fault feedback platform can be built by using a Springboot (an open source application framework) framework, so that micro-service deployment is supported, and platform requirements are rapidly updated and released. The modular layout and visualization effect is realized by using extjs (interface development software), and fusioncharts (a diagram component of Flash), jasperreports (a report engine), velocity (a template engine) and CXF (Apache CXF ═ Celtix + Xfire, an open source framework) interface plug-ins are loaded.

In one example, the visual fault platform can also be built by using a VUE (front end framework) framework, and supports H5 (a mobile end visual platform), mobile application programs and wechat applet development. . Firstly, the types and the scale of fault equipment are distinguished, different entrances are provided, and a feedback mode which is more in line with the actual fault is rapidly and pertinently provided for a client. The equipment terminal is presented in the form of a field physical image and corresponds to the equipment information in the terminal standardized document, so that clients can select fault terminals in different scenes. And adding an interface for uploading auxiliary troubleshooting information of a client intranet for a client to transmit a client side operation log and perform collaborative positioning analysis on the problem. Meanwhile, a visual display interface of the fault handling progress is provided, the fault handling state, the expected recovery time, the fault handling result and the like concerned by the client are visually and clearly displayed, an interaction mode with an operation and maintenance engineer is provided, and the service perception of the client is improved.

In an example, the visual fault feedback platform may further determine whether an alarm exists in the network-making device in combination with alarm information of a network element alarm integrated system of an operator, so as to assist in locating the fault.

As shown in fig. 6b (1), 6b (2), and 6b (3), an exemplary diagram of a visual fault feedback platform is provided in an embodiment of the present invention.

Therefore, the end-to-end fault determining method in the customized network provided by the embodiment of the invention can be used for transmitting the fault information by using the visual fault feedback platform, so that the processing state of the fault information can be checked in real time, and the fault processing efficiency is improved.

Referring to fig. 7, an embodiment of the present invention further provides a system for determining an end-to-end fault in a customized network, where the system includes:

a customized network networking database 701 for storing the topological relation of each device in the customized network;

a failure prediction knowledge base 702, configured to store failure types of each device in the customized network;

a failure pre-judgment analysis module 703, configured to obtain failure information of the customized network; inquiring the fault pre-judgment knowledge base and the customized network networking database according to the fault information, and determining fault equipment with a fault and a target fault type;

and a fault processing module 704, configured to output the identifier of the faulty device and the target fault type.

As can be seen from the above, the end-to-end fault determining system in the customized network provided in the embodiment of the present invention stores the topological relation of each device in the customized network by using the customized network networking database, stores the fault type of each device in the customized network by using the fault pre-judging knowledge base, and determines the faulty device and the target fault type of the faulty device based on the customized network networking database and the fault pre-judging knowledge base by using the fault pre-judging analysis module, so as to quickly locate the location of the faulty device, quickly determine the fault processing scheme according to the target fault type, shorten the time for end-to-end fault troubleshooting and fault analysis processing, improve the efficiency of fault location and fault analysis processing, further enhance the reliability of the customized network, and improve the experience perception of the customer.

In an embodiment of the present invention, the system further includes a raw data modeling module, configured to:

inputting the network topology model and the data flow analysis model of the customized network into a customized network networking database 701;

and acquiring and establishing a fault prejudgment knowledge base 702 according to the application scene example, the technical performance index and the product performance index of the customized network.

As can be seen from the above, the end-to-end fault determining system in the customized network provided in the embodiment of the present invention records the network topology model and the data flow analysis model of the customized network into the customized network networking database, so that when a fault occurs, the network structure of the customized network and the attribute information, the call logic, the path relation and the response result of each device can be obtained through the customized network networking database, and then the fault location is quickly located, and meanwhile, the fault pre-judgment knowledge base is established, so that the operation and maintenance personnel can effectively analyze and process the fault based on the quick response, thereby optimizing the network performance of the customized network.

In an embodiment of the present invention, the customized network includes an operator network and a customer intranet, and the network topology model of the customized network includes an operator network element device routing topology model and a customer intranet structure topology model; the raw data modeling module is specifically configured to:

In an embodiment of the present invention, the raw data modeling module is further configured to:

In an embodiment of the present invention, the raw data modeling module is specifically configured to:

As can be seen from the above, the end-to-end fault determination system in the customized network provided in the embodiment of the present invention establishes the routing topology model of the operator network element device according to the attribute information of each network element device in the operator network and the network structure of the operator network, and then establishes the topology model of the client intranet structure according to the attribute information of each terminal device in the client intranet and the network structure of the client intranet, so that the established routing topology model of the operator network element device and the information in the client intranet structure topology model can be completed as much as possible, and the accuracy of fault location when a fault occurs is improved.

each of the fault types is standardized and added to the fault pre-determination knowledge base 702.

In an embodiment of the present invention, the raw data modeling module is further configured to: and acquiring the fault type of the fault actually generated in the operation process of the customized network.

As can be seen from the above, the end-to-end fault determination system in the customized network provided in the embodiment of the present invention analyzes the technical performance index, the product performance index, and the application scenario example of the customized network respectively to determine each fault type related to the customized network, standardizes the obtained fault types, and adds the fault types to the fault pre-judgment knowledge base, so that the fault types included in the obtained fault pre-judgment knowledge base are as rich as possible, and a target fault type can be determined quickly based on the actual occurrence of a fault.

In an embodiment of the present invention, the failure pre-judgment knowledge base 702 further includes a processing scheme for each failure type;

the failure pre-judgment analysis module 703 is further configured to: inquiring the fault pre-judgment knowledge base to determine a processing scheme of the target fault type;

and the fault processing module 704 is further configured to output a processing scheme of the target fault type.

Therefore, the end-to-end fault determining system in the customized network provided by the embodiment of the invention can determine the type of the target fault and the corresponding processing scheme thereof by inquiring the fault pre-judgment knowledge base, so that the fault can be quickly responded when the fault occurs, and the fault can be timely judged and processed.

In an embodiment of the present invention, the system further includes:

Illustratively, as shown in fig. 8, an embodiment of the present invention provides an exemplary diagram of an end-to-end failure determination system in a customized network.

Therefore, the end-to-end fault determining system in the customized network provided by the embodiment of the invention can be used for transmitting the fault information by using the visual fault feedback platform, so that the processing state of the fault information can be checked in real time, and the fault processing efficiency is improved. The 5G customized network client has high requirement on network availability, and the fault phenomenon needs to be rapidly collected firstly when the fault occurs. In order to enable a customer to accurately and efficiently feed back the type, scale, condition and the like of fault equipment in the first time so as to rapidly analyze the fault problem, a visual customer fault feedback entry is needed when the fault problem is input into a fault pre-judgment analysis method.

An embodiment of the present invention further provides an electronic device, as shown in fig. 9, which includes a processor 901, a communication interface 902, a memory 903, and a communication bus 904, where the processor 901, the communication interface 902, and the memory 903 complete mutual communication through the communication bus 904,

a memory 903 for storing computer programs;

the processor 901 is configured to implement the steps of the method for determining an end-to-end fault in any customized network when executing the program stored in the memory 903.

The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.

The communication interface is used for communication between the electronic equipment and other equipment.

The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.

The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.

In yet another embodiment of the present invention, a computer-readable storage medium is further provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the end-to-end fault determination method in any customized network described above.

In yet another embodiment, a computer program product containing instructions is provided, which when run on a computer, causes the computer to perform the method for end-to-end fault determination in any of the above embodiments.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the device, the electronic apparatus and the storage medium embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and the relevant points can be referred to the partial description of the method embodiments.

The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims

1. A method for end-to-end fault determination in a customized network, the method comprising:

acquiring fault information of a customized network;

2. The method of claim 1, further comprising:

3. The method of claim 2, wherein the customized network comprises an operator network and a customer intranet, and the network topology model of the customized network comprises an operator network element device routing topology model and a customer intranet structure topology model;

4. The method of claim 3, wherein the attribute information of the terminal device includes at least one of a terminal type, a terminal IP address, number card information, a service scenario, and a service server address of the terminal device, and the method further comprises:

5. The method of claim 3, wherein the establishing a routing topology model of the operator network element device according to the attribute information of each network element device in the operator network and the network structure of the operator network comprises:

6. The method of claim 2, wherein the establishing a data flow analysis model representing routing relationships and response results between devices in the customized network according to the call logic of the devices in the customized network comprises:

7. The method of claim 2, wherein the obtaining and establishing a failure prediction knowledge base according to the application scenario instance, the technical performance index, and the product performance index of the customized network comprises:

8. The method of claim 7, further comprising:

9. The method according to claim 1, wherein the failure prejudgment knowledge base further comprises a processing scheme for each failure type; the method further comprises the following steps:

and outputting the processing scheme of the target fault type.

10. The method of claim 1, further comprising:

11. An end-to-end fault determination system in a customized network, the system comprising:

12. The system of claim 11, further comprising a raw data modeling module to:

13. The system according to claim 12, wherein the customized network comprises an operator network and a customer intranet, and the network topology model of the customized network comprises an operator network element device routing topology model and a customer intranet structure topology model; the raw data modeling module is specifically configured to:

14. The system of claim 13, wherein the raw data modeling module is further configured to:

15. The system of claim 13, wherein the raw data modeling module is specifically configured to:

16. The system of claim 12, wherein the raw data modeling module is specifically configured to:

17. The system of claim 12, wherein the raw data modeling module is specifically configured to:

18. The system of claim 17, wherein the raw data modeling module is further configured to: and acquiring the fault type of the fault actually generated in the operation process of the customized network.

19. The system according to claim 11, wherein the failure prejudgment knowledge base further comprises a processing scheme for each failure type;

20. The system of claim 11, further comprising:

21. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;

a memory for storing a computer program;

a processor for implementing the method steps of any of claims 1-10 when executing a program stored in the memory.

22. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of the claims 1-10.