阅读说明：本技术 一种基于5g通信网络故障诊断方法及系统 (Fault diagnosis method and system based on 5G communication network ) 是由 不公告发明人 于 2021-08-12 设计创作，主要内容包括：本发明公开了一种基于5G通信网络故障诊断方法及系统,通过获得工作机组网关信息,其中,所述工作机组包括第一设备,第一设备为5G通信网络设备；通过第一设备获得第一片段信息,第二片段信息；根据第一片段信息获得第一传输信息；根据第二片段信息获得第二传输信息；根据第一、第二传输信息,获得第一传输改变量；当第一传输改变量超过第一预定阈值时获得第一提醒信息；根据第一提醒信息,获得机组网关配置数据；将机组网关配置数据、第一传输改变量输入故障算法模型获得第一故障信息；当第一故障信息满足第二预定条件时发送至组内其他设备。解决现有技术中网络故障都是在发生后进行诊断,存在不能提前进行预警而影响工作效率的技术问题。(The invention discloses a fault diagnosis method and a fault diagnosis system based on a 5G communication network, wherein the fault diagnosis method comprises the steps of obtaining gateway information of a working unit, wherein the working unit comprises first equipment, and the first equipment is 5G communication network equipment; obtaining first fragment information and second fragment information through first equipment; acquiring first transmission information according to the first segment information; obtaining second transmission information according to the second fragment information; obtaining a first transmission change amount according to the first transmission information and the second transmission information; obtaining first reminding information when the first transmission change exceeds a first preset threshold value; acquiring unit gateway configuration data according to the first reminding information; inputting the configuration data of the unit gateway and the first transmission change quantity into a fault algorithm model to obtain first fault information; and when the first fault information meets a second preset condition, sending the first fault information to other equipment in the group. The method solves the technical problems that network faults are diagnosed after the network faults occur and early warning cannot be carried out in advance to influence the working efficiency in the prior art.)

1. A fault diagnosis method based on a 5G communication network is disclosed, wherein the method comprises the following steps:

obtaining gateway information of a working unit, wherein the working unit comprises first equipment and second equipment, N is a natural number greater than 2 till Nth equipment, and the first equipment is 5G communication network equipment;

obtaining, by the first device, first segment information, the first segment information having a first time;

obtaining, by the first device, second segment information, the second segment information having a second time, wherein the second segment information has a same attribute as the first segment information;

acquiring first transmission information according to the first segment information;

obtaining second transmission information according to the second fragment information;

acquiring a first transmission change amount according to the first transmission information and the second transmission information;

when the first transmission change amount exceeds a first preset threshold value, first reminding information is obtained;

acquiring unit gateway configuration data according to the first reminding information;

inputting the unit gateway configuration data and the first transmission change quantity into a fault algorithm model to obtain first fault information;

and when the first fault information meets a second preset condition, first fault diagnosis information is obtained, and the first fault diagnosis information is sent to the second equipment through the first equipment until the Nth equipment.

2. The method of claim 1, wherein the method comprises:

obtaining a first group transmission speed according to the first equipment and the second equipment;

obtaining a second group transmission speed according to the first equipment and the third equipment;

until obtaining the transmission speed in the (N-1) th group according to the first equipment and the Nth equipment;

monitoring the transmission speed in all groups in real time;

when the transmission speed in the group does not meet a third preset condition, second reminding information is obtained;

according to the second reminding information, acquiring unit gateway state information through communication connection established between the first equipment and the working unit gateway information;

acquiring the transmission speed in the group corresponding to the condition that the third preset condition is not met, and taking the transmission speed as the first influence network speed;

acquiring second fault information according to the first influence network speed and the unit gateway state information;

and when the second fault information meets the second preset condition, obtaining second fault diagnosis information, and broadcasting the second fault diagnosis information in the working unit.

3. The method of claim 1, wherein the method comprises:

obtaining upper computer room information according to the gateway information of the working unit;

obtaining subordinate equipment information of the machine room according to the upper machine room information;

establishing connection with the subordinate equipment of the machine room through the first equipment, and acquiring communication information of the subordinate equipment of the machine room in real time;

and when the first result appears in the communication information of the subordinate equipment of the machine room, obtaining third reminding information.

4. The method of claim 3, wherein the method comprises:

acquiring relevant information of a first machine room according to the upper machine room information;

acquiring a first influence factor according to the first machine room related information;

acquiring a first network fault probability according to the first influence factor and the first machine room related information;

and when the first network fault probability meets a fourth preset condition, obtaining fourth reminding information.

5. The method of claim 1, wherein the method comprises:

acquiring first transmission influence information according to the first transmission information and the first segment information;

acquiring second transmission influence information according to the second transmission information and the second fragment information;

judging whether the second transmission influence information is the same as the first transmission influence information;

when the transmission influence information is different from the first transmission influence information, obtaining mismatching information according to the second transmission influence information and the unit gateway configuration data;

and when the unmatched information meets a fifth preset condition, acquiring fifth reminding information.

6. The method of claim 5, wherein the determining whether the second transmission impact information is the same as the first transmission impact information comprises:

when the second transmission influence information is the same as the first transmission influence information, acquiring gateway influence information according to the unit gateway configuration data;

acquiring a fault analysis list according to the gateway influence information;

obtaining third fault information according to the fault analysis list;

and when the third fault information meets the second preset condition, acquiring sixth reminding information.

7. The method of claim 1, wherein the inputting the crew gateway configuration data and the first transmission change amount into a fault algorithm model to obtain first fault information comprises:

taking the unit gateway configuration data as first input information;

changing the first transmission change amount into second input information;

inputting the first input information and the second input information into a fault algorithm model, wherein the fault algorithm model is obtained by training a plurality of sets of training data, and each set of the plurality of sets of training data comprises: the first input information, the second input information, and identification information identifying the first failure information;

obtaining output information of the fault algorithm model, wherein the output information comprises the first fault information.

8. A fault diagnosis system based on 5G communication network, applied to the method of any one of claims 1 to 7, wherein the system comprises:

the system comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the first obtaining unit is used for obtaining gateway information of a working unit, the working unit comprises first equipment and second equipment, N is a natural number greater than 2 till Nth equipment, and the first equipment is 5G communication network equipment;

a second obtaining unit, configured to obtain, by the first device, first segment information, where the first segment information has a first time;

a third obtaining unit, configured to obtain, by the first device, second segment information, where the second segment information has a second time, and the second segment information has the same attribute as the first segment information;

a fourth obtaining unit, configured to obtain first transmission information according to the first segment information;

a fifth obtaining unit, configured to obtain second transmission information according to the second fragment information;

a sixth obtaining unit, configured to obtain a first transmission change amount according to the first transmission information and the second transmission information;

a seventh obtaining unit, configured to obtain first warning information when the first transmission change amount exceeds a first predetermined threshold;

an eighth obtaining unit, configured to obtain the unit gateway configuration data according to the first reminding information;

the first execution unit is used for inputting the unit gateway configuration data and the first transmission change quantity into a fault algorithm model to obtain first fault information;

a ninth obtaining unit, configured to obtain first fault diagnosis information when the first fault information satisfies a second predetermined condition, where the first fault diagnosis information is sent to a second device through the first device until an nth device.

9. A fault diagnosis system based on a 5G communication network, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to any of claims 1-7 when executing the program.

Technical Field

The invention relates to the technical field of network diagnosis, in particular to a method and a system for diagnosing faults based on a 5G communication network.

Background

With the popularization and wide application of networks, network faults are not strange and are frequently encountered in daily life, and the network faults are divided into physical faults and logic faults according to the nature of the network faults and can also be divided into line faults, router faults and host faults according to the division of objects. Physical faults refer to the conditions of equipment or line damage, plug looseness, serious electromagnetic interference on the line and the like. The most common situation of logic failure is configuration error, which refers to network abnormality or failure caused by configuration of network equipment. The configuration error may be a setting error of a router port parameter, or a configuration error of a router route such that a route is circulated or a remote address cannot be found, or a setting error of a routing mask.

However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:

in the prior art, network faults are diagnosed after the network faults occur, and the technical problem that early warning cannot be performed in advance to influence the working efficiency exists.

Disclosure of Invention

The embodiment of the application provides a method and a system for diagnosing network faults based on 5G communication, and solves the technical problems that network faults are diagnosed after the network faults occur and early warning cannot be performed in advance to influence the working efficiency in the prior art.

In view of the above problems, the embodiments of the present application provide a method and a system for diagnosing a fault based on a 5G communication network.

In a first aspect, an embodiment of the present application provides a method for diagnosing a fault based on a 5G communication network, where the method includes: obtaining gateway information of a working unit, wherein the working unit comprises first equipment and second equipment, N is a natural number greater than 2 till Nth equipment, and the first equipment is 5G communication network equipment; obtaining, by the first device, first segment information, the first segment information having a first time; obtaining, by the first device, second segment information, the second segment information having a second time, wherein the second segment information has a same attribute as the first segment information; acquiring first transmission information according to the first segment information; obtaining second transmission information according to the second fragment information; acquiring a first transmission change amount according to the first transmission information and the second transmission information; when the first transmission change amount exceeds a first preset threshold value, first reminding information is obtained; acquiring unit gateway configuration data according to the first reminding information; inputting the unit gateway configuration data and the first transmission change quantity into a fault algorithm model to obtain first fault information; and when the first fault information meets a second preset condition, first fault diagnosis information is obtained, and the first fault diagnosis information is sent to the second equipment through the first equipment until the Nth equipment.

On the other hand, the application also provides a fault diagnosis system based on the 5G communication network, and the system comprises: the system comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the first obtaining unit is used for obtaining gateway information of a working unit, the working unit comprises first equipment and second equipment, N is a natural number greater than 2 till Nth equipment, and the first equipment is 5G communication network equipment;

a second obtaining unit, configured to obtain, by the first device, first segment information, where the first segment information has a first time;

a third obtaining unit, configured to obtain, by the first device, second segment information, where the second segment information has a second time, and the second segment information has the same attribute as the first segment information;

a fourth obtaining unit, configured to obtain first transmission information according to the first segment information;

a fifth obtaining unit, configured to obtain second transmission information according to the second fragment information;

a sixth obtaining unit, configured to obtain a first transmission change amount according to the first transmission information and the second transmission information;

a seventh obtaining unit, configured to obtain first warning information when the first transmission change amount exceeds a first predetermined threshold;

an eighth obtaining unit, configured to obtain the unit gateway configuration data according to the first reminding information;

the first execution unit is used for inputting the unit gateway configuration data and the first transmission change quantity into a fault algorithm model to obtain first fault information;

a ninth obtaining unit, configured to obtain first fault diagnosis information when the first fault information satisfies a second predetermined condition, where the first fault diagnosis information is sent to a second device through the first device until an nth device.

In a third aspect, the present invention provides a fault diagnosis system based on a 5G communication network, including a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to the first aspect when executing the program.

One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

the embodiment of the application provides a method and a system for diagnosing faults based on a 5G communication network, wherein a working unit comprises a first device and a second device until an Nth device is obtained, N is a natural number greater than 2, and the first device is a 5G communication network device; obtaining, by the first device, first segment information, the first segment information having a first time; obtaining, by the first device, second segment information, the second segment information having a second time, wherein the second segment information has a same attribute as the first segment information; acquiring first transmission information according to the first segment information; obtaining second transmission information according to the second fragment information; acquiring a first transmission change amount according to the first transmission information and the second transmission information; when the first transmission change amount exceeds a first preset threshold value, first reminding information is obtained; acquiring unit gateway configuration data according to the first reminding information; inputting the unit gateway configuration data and the first transmission change quantity into a fault algorithm model to obtain first fault information; and when the first fault information meets a second preset condition, first fault diagnosis information is obtained, and the first fault diagnosis information is sent to the second equipment through the first equipment until the Nth equipment. When the first fault information meets the second preset condition, the first fault information influences network transmission, so that normal network transmission work of other equipment in the whole group is caused, at the moment, the first fault diagnosis information is sent to all equipment in the working unit, preparation is made for extraction, the risk of data interruption caused by network faults or the influence on normal working process is avoided, and when the first fault information does not influence other faults of the whole working unit, the first fault information does not need to be broadcasted to all the equipment, and the current fault can be sent to a maintenance center or a related management department for targeted processing. The method has the advantages that the characteristic of low delay of high-speed transmission of the 5G network is utilized, the abnormality in network transmission is timely discovered, the network fault pre-diagnosis is carried out in advance, the early warning is carried out on other equipment in the network in advance through the pre-diagnosis, the data loss caused after the fault occurs is avoided, the technical effect that the work can be prepared in advance through the timely early warning discovered in advance to effectively improve the work efficiency is achieved, and the technical problems that the network fault is diagnosed after the fault occurs and the work efficiency is influenced due to the fact that the early warning cannot be carried out in advance in the prior art are solved.

The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.

Drawings

Fig. 1 is a schematic flowchart of a fault diagnosis method based on a 5G communication network according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a fault diagnosis system based on a 5G communication network according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.

Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a sixth obtaining unit 16, a seventh obtaining unit 17, an eighth obtaining unit 18, a first executing unit 19, a ninth obtaining unit 20, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.

Detailed Description

The embodiment of the application provides a method and a system for diagnosing network faults based on 5G communication, and solves the technical problems that network faults are diagnosed after the network faults occur and early warning cannot be performed in advance to influence the working efficiency in the prior art. The technical effects that the low-delay characteristic of high-speed transmission of a 5G network is utilized, the abnormity in network transmission is timely discovered, the network fault pre-diagnosis is carried out in advance, the early warning is carried out on other equipment in the network in advance through the pre-diagnosis, the data loss caused after the fault occurs is avoided, the early warning can be timely found in advance to prepare the work, and the working efficiency is effectively improved are achieved. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.

Summary of the application

With the popularization and wide application of networks, network faults are not strange and are frequently encountered in daily life, and the network faults are divided into physical faults and logic faults according to the nature of the network faults and can also be divided into line faults, router faults and host faults according to the division of objects. Physical faults refer to the conditions of equipment or line damage, plug looseness, serious electromagnetic interference on the line and the like. The most common situation of logic failure is configuration error, which refers to network abnormality or failure caused by configuration of network equipment. The configuration error may be a setting error of a router port parameter, or a configuration error of a router route such that a route is circulated or a remote address cannot be found, or a setting error of a routing mask. However, in the prior art, network faults are diagnosed after occurrence, and the technical problem that early warning cannot be performed in advance to influence the working efficiency exists.

In view of the above technical problems, the technical solution provided by the present application has the following general idea:

obtaining gateway information of a working unit, wherein the working unit comprises first equipment and second equipment, N is a natural number greater than 2 till Nth equipment, and the first equipment is 5G communication network equipment; obtaining, by the first device, first segment information, the first segment information having a first time; obtaining, by the first device, second segment information, the second segment information having a second time, wherein the second segment information has a same attribute as the first segment information; acquiring first transmission information according to the first segment information; obtaining second transmission information according to the second fragment information; acquiring a first transmission change amount according to the first transmission information and the second transmission information; when the first transmission change amount exceeds a first preset threshold value, first reminding information is obtained; acquiring unit gateway configuration data according to the first reminding information; inputting the unit gateway configuration data and the first transmission change quantity into a fault algorithm model to obtain first fault information; and when the first fault information meets a second preset condition, first fault diagnosis information is obtained, and the first fault diagnosis information is sent to the second equipment through the first equipment until the Nth equipment. The technical effects that the low-delay characteristic of high-speed transmission of a 5G network is utilized, the abnormity in network transmission is timely discovered, the network fault pre-diagnosis is carried out in advance, the early warning is carried out on other equipment in the network in advance through the pre-diagnosis, the data loss caused after the fault occurs is avoided, the early warning can be timely found in advance to prepare the work, and the working efficiency is effectively improved are achieved.

Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.

Example one

As shown in fig. 1, an embodiment of the present application provides a method for diagnosing a fault based on a 5G communication network, where the method includes:

step S100: obtaining gateway information of a working unit, wherein the working unit comprises first equipment and second equipment, N is a natural number greater than 2 till Nth equipment, and the first equipment is 5G communication network equipment;

specifically, the working unit is a working network constructed by multiple devices together, wherein communication connection is established among the devices, and data transmission and sharing are performed through the network constructed by the working unit, so that the working efficiency is improved, and the timeliness of network transmission is guaranteed. The first device, the second device and the Nth device are network working devices in the working unit and establish communication connection with a gateway of the working unit. The first device is a 5G communication network device, the working unit gateway has a 5G network condition, and the working unit may not be limited to one 5G network communication device, and may be one or more devices. The 5G network refers to a fifth generation network in the development of mobile communication networks, and compared with the previous four generation mobile networks, the 5G network shows more enhanced functions in practical application, and theoretically, the transmission speed can reach tens of GB per second, which is hundreds of times higher than that of the 4G mobile network. For 5G network, the network has more obvious advantages and more powerful functions in the practical application process.

Step S200: obtaining, by the first device, first segment information, the first segment information having a first time;

step S300: obtaining, by the first device, second segment information, the second segment information having a second time, wherein the second segment information has a same attribute as the first segment information;

specifically, data received by 5G network devices are subjected to fragmentation processing, data information received by each fragment is first fragment information, the first fragment information is data acquired at a first time or an initial time, and second fragment information is network data information acquired at a second time, each fragment information has certain attributes, such as image information, file information, data information and the like.

Step S400: acquiring first transmission information according to the first segment information;

step S500: obtaining second transmission information according to the second fragment information;

step S600: acquiring a first transmission change amount according to the first transmission information and the second transmission information;

specifically, the first transmission information is network transmission information of the first segment information in the transmission and reception process, and includes network, gateway influence information, a data channel state, a line signal state, and the like, and the same second transmission information is network transmission information of the second segment information in the transmission and reception process. Wherein the first transmission information is initial information or reference information with reference meaning, the first transmission information is standardized information of network transmission information, and the second transmission information is received after standard, or network transmission information of received data in other periods and environments, comparing the second transmission information with the content of the first transmission information to obtain the data change amount as the first transmission change amount, namely, the method is used to evaluate whether the network condition in the second transmission information has changed significantly, when the first transmission change amount is small, the network transmission is normal, and when the first transmission change amount is large, attention needs to be paid, and correspondingly analyzing and processing to find problems occurring in the network transmission process earlier than other networks in time through the rapid transmission and millisecond positioning response of the 5g network, thereby realizing the effects of early pre-diagnosis and early warning of network faults.

Step S700: when the first transmission change amount exceeds a first preset threshold value, first reminding information is obtained;

step S800: acquiring unit gateway configuration data according to the first reminding information;

specifically, when the network information change amount is found to exceed the requirement of a first preset threshold value in the transmission process, first reminding information is sent, the first reminding information is used for reminding a system that the current network information has the change amount exceeding the requirement, network pre-diagnosis is needed, whether a prior problem of network transmission occurs or not is detected, early diagnosis is found, and unit gateway configuration data are extracted through the first reminding information. And the unit gateway configuration data is gateway configuration information corresponding to the second transmission information and is acquired in real time according to the first reminding information.

Step S900: inputting the unit gateway configuration data and the first transmission change quantity into a fault algorithm model to obtain first fault information;

further, the step S900 of inputting the configuration data of the unit gateway and the first transmission change amount into a fault algorithm model to obtain first fault information in the embodiment of the present application includes:

step S910: taking the unit gateway configuration data as first input information;

step S920: changing the first transmission change amount into second input information;

step S930: inputting the first input information and the second input information into a fault algorithm model, wherein the fault algorithm model is obtained by training a plurality of sets of training data, and each set of the plurality of sets of training data comprises: the first input information, the second input information, and identification information identifying the first failure information;

step S940: obtaining output information of the fault algorithm model, wherein the output information comprises the first fault information.

Specifically, the method comprises the steps of analyzing according to configuration information and transmission change quantity of a unit gateway, constructing a mathematical model by using a fault diagnosis algorithm, analyzing which configuration data of the gateway are abnormal and correspond to the transmission change quantity, therefore, a corresponding fault analysis result is obtained as first fault information, in order to improve the accuracy of the website construction factor analysis result, the embodiment of the application constructs a neural network model for processing, utilizes a mathematical model for operation processing to improve the operation speed, meanwhile, the accuracy of the extraction result is improved, the fault algorithm model is a Neural network model in machine learning, a Neural Network (NN) is a complex Neural network system formed by widely interconnecting a large number of simple processing units (called neurons), reflects many basic characteristics of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. And inputting the first input information and the second input information into a neural network model through training of a large amount of training data, and outputting first fault information.

More specifically, the training process is essentially a supervised learning process, each group of supervised data includes the first input information, the second input information and identification information for identifying the first fault information, the first input information and the second input information are input into a neural network model, the neural network model performs continuous self-correction and adjustment according to the identification information for identifying the first fault information, and the present group of supervised learning is ended until the obtained output result is consistent with the identification information, and the next group of data supervised learning is performed; and when the output information of the neural network model reaches the preset accuracy rate/reaches the convergence state, finishing the supervised learning process. Through the supervised learning of the neural network model, the neural network model can process the input information more accurately, so that more accurate and suitable first fault information can be obtained, fault diagnosis can be performed on the network transmission condition according to the gateway configuration data corresponding to the network transmission information change amount, meanwhile, the efficiency and the accuracy of a data operation processing result are improved by adding the neural network model, and a foundation is tamped for providing more accurate network fault diagnosis.

Step S1000: and when the first fault information meets a second preset condition, first fault diagnosis information is obtained, and the first fault diagnosis information is sent to the second equipment through the first equipment until the Nth equipment.

Specifically, when the first fault information meets the second predetermined condition, the first fault information may affect network transmission, so that normal network transmission work of other devices in the whole group is caused, for example, interference parameters occurring in gateway configuration affect network transmission, or other faults that may affect network transmission, the first fault diagnosis information is sent to all devices in the work group, preparation is made for extraction, a risk that data interruption is caused by a network fault or normal work process is affected, and when the first fault information does not affect other faults of the whole work group, broadcast transmission to all devices is not needed, and the current fault can be sent to a maintenance center or a related management department for targeted processing. The method has the advantages that the characteristic of low delay of high-speed transmission of the 5G network is utilized, the abnormality in network transmission is timely discovered, the network fault pre-diagnosis is carried out in advance, the early warning is carried out on other equipment in the network in advance through the pre-diagnosis, the data loss caused after the fault occurs is avoided, the technical effect that the work can be prepared in advance through the timely early warning discovered in advance to effectively improve the work efficiency is achieved, and the technical problems that the network fault is diagnosed after the fault occurs and the work efficiency is influenced due to the fact that the early warning cannot be carried out in advance in the prior art are solved.

Further, the method further comprises:

step S1110: obtaining a first group transmission speed according to the first equipment and the second equipment;

step S1120: obtaining a second group transmission speed according to the first equipment and the third equipment;

step S1130: until obtaining the transmission speed in the (N-1) th group according to the first equipment and the Nth equipment;

step S1140: monitoring the transmission speed in all groups in real time;

step S1150: when the transmission speed in the group does not meet a third preset condition, second reminding information is obtained;

step S1160: according to the second reminding information, acquiring unit gateway state information through communication connection established between the first equipment and the working unit gateway information;

step S1170: acquiring the transmission speed in the group corresponding to the condition that the third preset condition is not met, and taking the transmission speed as the first influence network speed;

step S1180: acquiring second fault information according to the first influence network speed and the unit gateway state information;

step S1190: and when the second fault information meets the second preset condition, obtaining second fault diagnosis information, and broadcasting the second fault diagnosis information in the working unit.

Specifically, in addition to performing data transmission to perform fragment monitoring on network transmission information by using the connection between the first device and the gateway, the first device may be used to perform communication connection with other devices connected to the network in the group, and through monitoring of network transmission information between the first device and other devices, the second device, the third device and the nth device are all network devices in the working group, when a change in network transmission information with one of the devices is found, a third predetermined condition is satisfied, the transmission information is indicated to be normal, if the current transmission information is not normal and exceeds the requirement of normal network transmission, a second reminding message is sent at this time, the current network state is pre-diagnosed, when a broadcast notification of the pre-information of the network fault occurs and the result of the pre-diagnosis is not a network fault problem, the group broadcast is not performed, and the management center can be reminded according to the problems. The technical effects that the low-delay characteristic of high-speed transmission of a 5G network is utilized, the abnormity in network transmission is timely discovered, the network fault pre-diagnosis is carried out in advance, the early warning is carried out on other equipment in the network in advance through the pre-diagnosis, the data loss caused after the fault occurs is avoided, the early warning can be timely found in advance to prepare the work, and the working efficiency is effectively improved are achieved.

Further, the method further comprises:

step 1210: obtaining upper computer room information according to the gateway information of the working unit;

step S1220: obtaining subordinate equipment information of the machine room according to the upper machine room information;

step S1230: establishing connection with the subordinate equipment of the machine room through the first equipment, and acquiring communication information of the subordinate equipment of the machine room in real time;

step S1240: and when the first result appears in the communication information of the subordinate equipment of the machine room, obtaining third reminding information.

Specifically, the upper computer room information is an upper network mechanism for providing a network for a working machine set gateway, such as a base station or a network management computer room of which area, acquires subordinate equipment information corresponding to the upper computer room information through the upper computer room information, establishes connection with the subordinate equipment of the computer room through first equipment, monitors network transmission information, when network abnormality occurs in the network, the first result indicates that the network connection is abnormal, sends reminding information at the moment, monitors data of the machine set gateway to realize pre-diagnosis, extracts pre-diagnosis through network change of the subordinate equipment of the upper computer room, has risk of influencing a local network when network problems occur to other subordinate equipment, and acquires and extracts the pre-diagnosis in advance at the moment, thereby achieving the characteristic of low delay by utilizing 5G network high-speed transmission and finding the abnormality in network transmission in time, network fault pre-diagnosis is carried out in advance, other equipment in the network is pre-warned in time through pre-diagnosis, data loss caused after a fault occurs is avoided, and the work can be prepared in advance through finding out the early warning in time in advance, so that the technical effect of effectively improving the working efficiency is achieved. The method further solves the technical problems that in the prior art, network faults are diagnosed after occurrence, and early warning cannot be carried out in advance to influence the working efficiency.

Further, the method further comprises:

step 1310: acquiring relevant information of a first machine room according to the upper machine room information;

step S1320: acquiring a first influence factor according to the first machine room related information;

step S1330: acquiring a first network fault probability according to the first influence factor and the first machine room related information;

step S1340: and when the first network fault probability meets a fourth preset condition, obtaining fourth reminding information.

Specifically, municipal work related to network lines is extracted and early-warned for information of an upper computer room, corresponding first computer room related information is obtained through the position of the upper computer room, the first computer room related information is events, influence factors and the like related to the network lines of the upper computer room, such as line maintenance, circuit first-aid repair, maintenance and the like, or road maintenance and the like during the passing of the lines, which aspects of the network related problems can be influenced by the information is obtained according to the first computer room related information, the first influence factor is influence relation of the events in the related information on the network, such as electric power influence, network connection influence, network speed influence and the like, the first network fault probability is analyzed and obtained according to the first influence factor, the correlation of the first computer room related information and the network and the probability of the influence on the first influence factor in the first computer room related information, and the first network fault probability is obtained if the first computer room related information is a line which can influence a network base station for road reconstruction, according to the relation between the road and the base station and the construction requirement, how much influence is caused on the line of the network base station, and how large the occurrence probability is, if the line needs to be powered off when the road is constructed and the line needs to be maintained, the first influencing factor is the power problem, the probability is high when the power needs to be powered off, and under the condition that the network fault probability is high, the reminding information is sent and the group broadcasting is carried out, the network early warning is carried out through early diagnosis, and the network safety and the reasonable arrangement work of a user are ensured.

Further, the method further comprises:

step S1410: acquiring first transmission influence information according to the first transmission information and the first segment information;

step S1420: acquiring second transmission influence information according to the second transmission information and the second fragment information;

step S1430: judging whether the second transmission influence information is the same as the first transmission influence information;

step S1440: when the transmission influence information is different from the first transmission influence information, obtaining mismatching information according to the second transmission influence information and the unit gateway configuration data;

step S1450: and when the unmatched information meets a fifth preset condition, acquiring fifth reminding information.

Further, the determining whether the second transmission impact information is the same as the first transmission impact information includes:

step S1431: when the second transmission influence information is the same as the first transmission influence information, acquiring gateway influence information according to the unit gateway configuration data;

step S1432: acquiring a fault analysis list according to the gateway influence information;

step S1433: obtaining third fault information according to the fault analysis list;

step S1434: and when the third fault information meets the second preset condition, acquiring sixth reminding information.

Specifically, corresponding data analysis is carried out according to network transmission conditions in first fragment information and second fragment information, factors influencing network transmission are determined, group reminding is carried out according to the factors, transmission influence caused by similar problems of other equipment is avoided, when influence information of second fragment information in the transmission process is different from influence information of the first fragment information, corresponding analysis is carried out on the information, the reasons influencing network transmission are found out, for example, the first fragment information and the second fragment information are received by video information, transmission influence information in the first fragment information is file size, when influence factors in the second fragment information are file size, the first fragment information and the second fragment information are the same, the reasons causing network transmission information change are other reasons, and corresponding analysis is carried out on gateway influence information at the moment, the influence factors are found out, if the whole group is affected, all equipment is broadcasted, if not, corresponding management center is notified, if the affected information of the second fragment information is an attribute problem, the problem is broadcasted in the group, other equipment is prevented from occurring the problem, conversion is made in advance to avoid network faults, and therefore the technical effect that the abnormality in network transmission is found in time by utilizing the characteristic that the high-speed transmission of the 5G network is low in delay, the network faults are pre-diagnosed in advance, other equipment in the network is pre-diagnosed in time, data loss caused after the faults occur is avoided, and the work can be prepared in advance by finding the early warning in advance to effectively improve the working efficiency is achieved. The method further solves the technical problems that in the prior art, network faults are diagnosed after occurrence, and early warning cannot be carried out in advance to influence the working efficiency.

Further, after the inputting the first input information and the second input information into the fault algorithm model, step S930 in this embodiment further includes:

step S931: obtaining first training data and second training data in the multiple groups of training data until P training data, wherein P is a natural number greater than 1;

step S932: generating first identification codes according to first training data, wherein the first identification codes correspond to the first training data one to one;

step S933: generating a second identification code according to the second training data and the first identification code, and generating an Nth identification code according to the P-th training data and the P-1-th identification code by analogy;

step S934: and copying and saving the training data and the identification code on the Q electronic devices.

In particular, the blockchain technique, also referred to as a distributed ledger technique, is an emerging technique in which several computing devices participate in "accounting" together, and maintain a complete distributed database together. The blockchain technology has been widely used in many fields due to its characteristics of decentralization, transparency, participation of each computing device in database records, and rapid data synchronization between computing devices. Generating first identification codes according to the first training data, wherein the first identification codes correspond to the first training data one to one; generating a second identification code according to the second training data and the first identification code, wherein the second identification code corresponds to the second training data one to one; by analogy, generating an Nth identification code according to the Nth training data and the Nth-1 identification code, wherein N is a natural number larger than 1, respectively copying and storing all the training data and the identification codes on M devices, wherein the first training data and the first identification code are stored on one device as a first block, the second training data and the second identification code are stored on one device as a second block, the Nth training data and the Nth identification code are stored on one device as an Nth block, when the training data need to be called, after each next node receives data stored by a previous node, the data are verified and stored through a common mechanism identification, each storage unit is connected in series through a hash function, so that the training data are not easy to lose and damage, and the training data are encrypted through logic of a block chain, the safety of the training data is guaranteed, the accuracy of the neural network model obtained through training of the training data is further guaranteed, more accurate first fault information can be obtained, the accuracy of a diagnosis result is guaranteed, and the safety of the data transmission process is also guaranteed.

Example two

Based on the same inventive concept as the method for diagnosing the fault based on the 5G communication network in the foregoing embodiment, the present invention further provides a system for diagnosing the fault based on the 5G communication network, as shown in fig. 2, the system includes:

a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain gateway information of a working unit, where the working unit includes a first device and a second device, N is a natural number greater than 2, and the first device is a 5G communication network device;

a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain, by the first device, first segment information, where the first segment information has a first time;

a third obtaining unit 13, configured to obtain, by the first device, second segment information, where the second segment information has a second time, and the second segment information has the same attribute as the first segment information;

a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain first transmission information according to the first segment information;

a fifth obtaining unit 15, where the fifth obtaining unit 15 is configured to obtain second transmission information according to the second fragment information;

a sixth obtaining unit 16, where the sixth obtaining unit 16 is configured to obtain a first transmission change amount according to the first transmission information and the second transmission information;

a seventh obtaining unit 17, where the seventh obtaining unit 17 is configured to obtain the first reminding information when the first transmission change amount exceeds a first predetermined threshold;

an eighth obtaining unit 18, where the eighth obtaining unit 18 is configured to obtain the configuration data of the unit gateway according to the first reminding information;

a first executing unit 19, where the first executing unit 19 is configured to input the configuration data of the unit gateway and the first transmission change amount into a fault algorithm model, so as to obtain first fault information;

a ninth obtaining unit 20, where the ninth obtaining unit 20 is configured to obtain first fault diagnosis information when the first fault information satisfies a second predetermined condition, and the first fault diagnosis information is sent to the second device through the first device until the nth device.

Further, the system further comprises:

a tenth obtaining unit, configured to obtain a first intra-group transmission speed according to the first device and the second device;

an eleventh obtaining unit, configured to obtain a second intra-group transmission speed according to the first device and the third device;

a twelfth obtaining unit, configured to obtain an N-1 th intra-group transmission speed according to the first device and the nth device;

the second execution unit is used for monitoring the transmission speeds in all the groups in real time;

a thirteenth obtaining unit configured to obtain second warning information when a transmission speed that does not satisfy a third predetermined condition occurs at the intra-group transmission speed;

a fourteenth obtaining unit, configured to obtain the unit gateway state information according to the second reminding information through a communication connection established between the first device and the working unit gateway information;

a fifteenth obtaining unit, configured to obtain, as a first influencing network speed, an intra-group transmission speed corresponding to a condition that the third predetermined condition is not satisfied;

a sixteenth obtaining unit, configured to obtain second fault information according to the first impact network speed and the unit gateway state information;

a seventeenth obtaining unit, configured to obtain second fault diagnosis information when the second fault information satisfies the second predetermined condition, and broadcast the second fault diagnosis information in a working unit.

Further, the system further comprises:

an eighteenth obtaining unit, configured to obtain information of an upper computer room according to the gateway information of the working unit;

a nineteenth obtaining unit, configured to obtain information of subordinate devices in the machine room according to the information of the upper machine room;

a twentieth obtaining unit, configured to establish a connection with the subordinate device of the machine room through the first device, and obtain communication information of the subordinate device of the machine room in real time;

a twenty-first obtaining unit, configured to obtain third reminding information when a first result occurs in the communication information of the subordinate device in the machine room.

Further, the system further comprises:

a twenty-second obtaining unit, configured to obtain information related to the first machine room according to the upper machine room information;

a twenty-third obtaining unit, configured to obtain a first influence factor according to the first machine room-related information;

a twenty-fourth obtaining unit, configured to obtain a first network failure probability according to the first influence factor and the first machine room related information;

a twenty-fifth obtaining unit, configured to obtain fourth reminding information when the first network failure probability satisfies a fourth predetermined condition.

Further, the system further comprises:

a twenty-sixth obtaining unit, configured to obtain first transmission influence information according to the first transmission information and the first segment information;

a twenty-seventh obtaining unit, configured to obtain second transmission influence information according to the second transmission information and the second segment information;

a first judgment unit configured to judge whether the second transmission influence information is the same as the first transmission influence information;

a twenty-eighth obtaining unit, configured to, when the difference is not the same, obtain mismatch information according to the second transmission influence information and the unit gateway configuration data;

a twenty-ninth obtaining unit, configured to obtain fifth reminding information when the mismatch information satisfies a fifth predetermined condition.

Further, the system further comprises:

a thirtieth obtaining unit, configured to obtain gateway influence information according to the unit gateway configuration data when the second transmission influence information is the same as the first transmission influence information;

a thirty-first obtaining unit, configured to obtain a fault analysis list according to the gateway influence information;

a thirty-second obtaining unit, configured to obtain third fault information according to the fault analysis list;

a thirty-third obtaining unit, configured to obtain sixth reminding information when the third fault information satisfies the second predetermined condition.

Further, the system further comprises:

a third execution unit, configured to use the crew gateway configuration data as first input information;

a fourth execution unit configured to change the first transmission change amount to second input information;

a first input unit, configured to input the first input information and the second input information into a fault algorithm model, where the fault algorithm model is obtained by training multiple sets of training data, and each of the multiple sets of training data includes: the first input information, the second input information, and identification information identifying the first failure information;

a thirty-fourth obtaining unit, configured to obtain output information of the fault algorithm model, where the output information includes the first fault information.

Various changes and specific examples of the method for diagnosing faults based on the 5G communication network in the first embodiment of fig. 1 are also applicable to the system for diagnosing faults based on the 5G communication network in the present embodiment, and through the foregoing detailed description of the method for diagnosing faults based on the 5G communication network, a person skilled in the art can clearly know the method for implementing the system for diagnosing faults based on the 5G communication network in the present embodiment, so for the brevity of the description, detailed descriptions are omitted here.

Exemplary electronic device

The electronic device of the embodiment of the present application is described below with reference to fig. 3.

Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.

Based on the inventive concept of the 5G communication network fault diagnosis method in the foregoing embodiments, the present invention further provides a 5G communication network fault diagnosis system, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any one of the foregoing 5G communication network fault diagnosis methods.

Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.

The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.

One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

the embodiment of the application provides a method and a system for diagnosing faults based on a 5G communication network, wherein a working unit comprises a first device and a second device until an Nth device is obtained, N is a natural number greater than 2, and the first device is a 5G communication network device; obtaining, by the first device, first segment information, the first segment information having a first time; obtaining, by the first device, second segment information, the second segment information having a second time, wherein the second segment information has a same attribute as the first segment information; acquiring first transmission information according to the first segment information; obtaining second transmission information according to the second fragment information; acquiring a first transmission change amount according to the first transmission information and the second transmission information; when the first transmission change amount exceeds a first preset threshold value, first reminding information is obtained; acquiring unit gateway configuration data according to the first reminding information; inputting the unit gateway configuration data and the first transmission change quantity into a fault algorithm model to obtain first fault information; when the first fault information meets a second preset condition, first fault diagnosis information is obtained and sent to second equipment through the first equipment until the Nth equipment, the network transmission is affected when the first fault information meets the second preset condition, so that normal network transmission work of other equipment in the whole working unit is caused, the first fault diagnosis information is sent to all equipment in the working unit at the moment, preparation is made for extraction, the risk of data interruption caused by network faults or the influence on normal working process is avoided, and when the first fault information does not affect other faults of the whole working unit enough, the first fault diagnosis information does not need to be broadcasted and sent to all equipment, and the current fault can be sent to a maintenance center or a related management department for targeted processing. The method has the advantages that the characteristic of low delay of high-speed transmission of the 5G network is utilized, the abnormality in network transmission is timely discovered, the network fault pre-diagnosis is carried out in advance, the early warning is carried out on other equipment in the network in advance through the pre-diagnosis, the data loss caused after the fault occurs is avoided, the technical effect that the work can be prepared in advance through the timely early warning discovered in advance to effectively improve the work efficiency is achieved, and the technical problems that the network fault is diagnosed after the fault occurs and the work efficiency is influenced due to the fact that the early warning cannot be carried out in advance in the prior art are solved.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.