CN115580519A - Fault diagnosis method and system for computer network - Google Patents
Fault diagnosis method and system for computer network Download PDFInfo
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- CN115580519A CN115580519A CN202211208027.0A CN202211208027A CN115580519A CN 115580519 A CN115580519 A CN 115580519A CN 202211208027 A CN202211208027 A CN 202211208027A CN 115580519 A CN115580519 A CN 115580519A
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Abstract
The invention relates to the technical field of computer networks, and particularly discloses a fault diagnosis method and system for a computer network. The invention collects and acquires network fault data by monitoring and judging the fault of the computer network; diagnosing and processing, and generating an auxiliary processing signal when the network fault cannot be directly processed; according to the auxiliary processing signals, sending network fault data to a plurality of other computers and receiving a plurality of fault feedback information; according to a plurality of fault feedback information, when the fault diagnosis processing cannot be completed, the auxiliary computer is screened; and establishing network sharing connection with the auxiliary computer to perform big data fault diagnosis and analysis. The method can gradually carry out direct diagnosis processing, auxiliary diagnosis processing and network sharing diagnosis processing of the network fault, and in the process, the steps are finished when the diagnosis processing is finished, and computer management personnel are not needed to carry out manual processing, so that the complicated manual diagnosis processing process is avoided, and the fault diagnosis processing speed is more timely and efficient.
Description
Technical Field
The invention belongs to the technical field of computer networks, and particularly relates to a fault diagnosis method and system of a computer network.
Background
The network failure refers to a state in which the network cannot provide normal services or the quality of services is degraded due to a problem of hardware, a software bug, intrusion of a virus, or the like. Nowadays, more and more business applications run on a network architecture, so that continuous, efficient and safe running of a network is guaranteed, and a huge challenge is faced by a network manager.
When a network fault occurs in a computer, the fault is difficult to be automatically repaired under the state without network connection, a professional computer manager is usually needed to check and analyze the network fault of the computer and identify and process the fault according to the experience of computer network maintenance, however, the fault diagnosis and processing process of the manual computer network is usually complicated, sometimes the computer manager with low experience cannot timely complete the diagnosis and processing of the fault, and the normal operation of work is influenced.
Disclosure of Invention
The embodiment of the invention aims to provide a fault diagnosis method and a fault diagnosis system for a computer network, and aims to solve the problems in the background art.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
a fault diagnosis method of a computer network specifically comprises the following steps:
monitoring and judging the fault of the computer network, and collecting and acquiring network fault data when the computer network fault exists;
diagnosing and processing the network fault data, judging whether the network fault can be directly processed or not, and generating an auxiliary processing signal when the network fault cannot be directly processed;
according to the auxiliary processing signals, sending the network fault data to a plurality of other computers, and receiving fault feedback information sent by the other computers;
judging whether the fault diagnosis processing can be finished or not according to a plurality of fault feedback information, and screening an auxiliary computer when the fault diagnosis processing cannot be finished;
and establishing network sharing connection with the auxiliary computer, and performing big data fault diagnosis and analysis according to the network fault data to obtain a fault diagnosis result.
As a further limitation of the technical solution of the embodiment of the present invention, the monitoring and determining of the fault of the computer network, and collecting and acquiring the network fault data when the computer network fault exists specifically include the following steps:
carrying out fault monitoring on a computer network to generate fault monitoring data;
analyzing the fault monitoring data and judging whether computer network faults exist or not;
when a computer network fault exists, recording fault time;
and collecting fault monitoring data of the fault time to generate network fault data.
As a further limitation of the technical solution of the embodiment of the present invention, the diagnosing and processing the network fault data, determining whether the network fault can be directly processed, and generating the auxiliary processing signal when the network fault cannot be directly processed specifically includes the following steps:
diagnosing the network fault data to generate a local diagnosis result;
performing fault processing according to the local diagnosis result, and judging whether the network fault can be directly processed;
and when the network fault cannot be directly processed, generating an auxiliary processing signal according to the local diagnosis result.
As a further limitation of the technical solution of the embodiment of the present invention, the sending the network fault data to a plurality of other computers and receiving fault feedback information sent by the plurality of other computers according to the auxiliary processing signal specifically includes the following steps:
determining a plurality of locally connected other computers;
sending the auxiliary processing signal and the network fault data to a plurality of other computers;
and receiving fault feedback information sent by a plurality of other computers.
As a further limitation of the technical solution of the embodiment of the present invention, the determining whether the fault diagnosis processing can be completed according to the plurality of pieces of fault feedback information, and when the fault diagnosis processing cannot be completed, the screening assist computer includes the following steps:
screening useful feedback information in a plurality of fault feedback information;
respectively performing fault processing attempts according to a plurality of useful feedback information, and judging whether fault diagnosis processing can be completed;
when the fault diagnosis processing cannot be completed, performing network signal analysis on a plurality of other computers to generate a plurality of network signal data;
and screening the auxiliary computer according to a plurality of network signal data.
As a further limitation of the technical solution of the embodiment of the present invention, the establishing a network sharing connection with an auxiliary computer, and performing big data fault diagnosis analysis according to the network fault data to obtain a fault diagnosis result specifically includes the following steps:
sending a network sharing request to the helper computer;
establishing a shared network channel with the helper computer after the helper computer has agreed to a network sharing request;
and according to the shared network channel, carrying out big data analysis on the network fault data to obtain a fault diagnosis result.
A fault diagnosis system of a computer network comprises a fault monitoring and judging unit, a local diagnosis processing unit, an auxiliary sending and receiving unit, a fault feedback processing unit and a network sharing diagnosis unit, wherein:
the fault monitoring and judging unit is used for monitoring and judging the fault of the computer network and collecting and acquiring network fault data when the computer network fault exists;
the local diagnosis processing unit is used for diagnosing and processing the network fault data, judging whether the network fault can be directly processed or not, and generating an auxiliary processing signal when the network fault cannot be directly processed;
the auxiliary sending and receiving unit is used for sending the network fault data to a plurality of other computers according to the auxiliary processing signals and receiving fault feedback information sent by the other computers;
a fault feedback processing unit for judging whether the fault diagnosis processing can be completed or not according to a plurality of fault feedback information and screening the auxiliary computer when the fault diagnosis processing can not be completed;
and the network sharing diagnosis unit is used for establishing network sharing connection with the auxiliary computer and carrying out big data fault diagnosis and analysis according to the network fault data to obtain a fault diagnosis result.
As a further limitation of the technical solution of the embodiment of the present invention, the fault monitoring and determining unit specifically includes:
the fault monitoring module is used for monitoring faults of a computer network and generating fault monitoring data;
the network fault module is used for analyzing the fault monitoring data and judging whether a computer network fault exists or not;
the time recording module is used for recording fault time when a computer network fault exists;
and the data collection module is used for collecting the fault monitoring data of the fault time and generating network fault data.
As a further limitation of the technical solution of the embodiment of the present invention, the local diagnosis processing unit specifically includes:
the local diagnosis module is used for diagnosing the network fault data to generate a local diagnosis result;
the processing and judging module is used for processing the fault according to the local diagnosis result and judging whether the network fault can be directly processed or not;
and the signal generation module is used for generating an auxiliary processing signal according to the local diagnosis result when the network fault cannot be directly processed.
As a further limitation of the technical solution of the embodiment of the present invention, the network sharing diagnosis unit specifically includes:
a request sending module, configured to send a network sharing request to the auxiliary computer;
a sharing establishing module for establishing a sharing network channel with the auxiliary computer after the auxiliary computer agrees to the network sharing request;
and the big data analysis module is used for carrying out big data analysis on the network fault data according to the shared network channel to obtain a fault diagnosis result.
Compared with the prior art, the invention has the beneficial effects that:
the embodiment of the invention collects and acquires network fault data by monitoring and judging the fault of the computer network; diagnosing and processing, and generating an auxiliary processing signal when the network fault cannot be directly processed; according to the auxiliary processing signal, sending network fault data to a plurality of other computers and receiving a plurality of fault feedback information; according to a plurality of fault feedback information, when the fault diagnosis processing cannot be completed, the auxiliary computer is screened; and establishing network sharing connection with the auxiliary computer to perform big data fault diagnosis and analysis. The method can gradually carry out direct diagnosis processing, auxiliary diagnosis processing and network sharing diagnosis processing of the network fault, and in the process, the steps are finished when the diagnosis processing is finished, and computer management personnel are not needed to carry out manual processing, so that the complicated manual diagnosis processing process is avoided, and the fault diagnosis processing speed is more timely and efficient.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Fig. 2 shows a flow chart of fault monitoring judgment collection in the method provided by the embodiment of the invention.
Fig. 3 shows a flowchart of local diagnosis of network faults in the method provided by the embodiment of the present invention.
Fig. 4 shows a flowchart of processing signals in an auxiliary processing method according to an embodiment of the present invention.
Fig. 5 shows a flowchart of the failure feedback judgment processing in the method provided by the embodiment of the present invention.
Fig. 6 shows a flowchart of network sharing diagnostic analysis in the method provided by the embodiment of the present invention.
Fig. 7 shows an application architecture diagram of a system provided by an embodiment of the invention.
Fig. 8 shows a block diagram of a fault monitoring and determining unit in the system according to the embodiment of the present invention.
Fig. 9 is a block diagram illustrating a local diagnostic processing unit in the system according to an embodiment of the present invention.
Fig. 10 shows a block diagram of a network shared diagnostic unit in the system according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
It can be understood that when a network fault occurs in an existing computer, a professional computer manager is usually needed to check and analyze the network fault of the computer and identify and process the fault according to the experience of computer network maintenance, however, the fault diagnosis and processing process of the manual computer network is usually complicated, and sometimes computer managers with low experience cannot timely complete the diagnosis and processing of the fault, which affects the normal operation of work.
In order to solve the above problems, the embodiments of the present invention collect and acquire network failure data by performing failure monitoring and determination on a computer network; diagnosing and processing, and generating an auxiliary processing signal when the network fault cannot be directly processed; according to the auxiliary processing signal, sending network fault data to a plurality of other computers and receiving a plurality of fault feedback information; according to a plurality of fault feedback information, when the fault diagnosis processing cannot be completed, the auxiliary computer is screened; and establishing network sharing connection with the auxiliary computer to perform big data fault diagnosis and analysis. The method can gradually carry out direct diagnosis processing, auxiliary diagnosis processing and network sharing diagnosis processing of the network fault, and in the process, the steps are finished when the diagnosis processing is finished, and computer management personnel are not needed to carry out manual processing, so that the complicated manual diagnosis processing process is avoided, and the fault diagnosis processing speed is more timely and efficient.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Specifically, the method for diagnosing the fault of the computer network specifically comprises the following steps:
step S101, fault monitoring and judgment of a computer network are carried out, and network fault data are collected and obtained when computer network faults exist.
In the embodiment of the invention, in the running process of the local computer, the network state of the computer network is monitored in real time to generate fault monitoring data, the fault monitoring data is analyzed and compared with preset standard data to judge whether data abnormity exists, when the data abnormity exists, the network of the local computer is judged to be abnormal, the time corresponding to the data abnormity is recorded to obtain the fault time, and the data corresponding to the fault time is intercepted from the fault monitoring data to generate the network fault data.
It is understood that the local computer obtains the network data, and the algorithm for determining the network status may be:
public class HttpUtil {
// determining network status
public static boolean isNet(Context context){
if(context!=null){
// get connection manager
ConnectivityManager manager= (ConnectivityManager) context.getSystemService(Context.CONNECTIVITY_SERVICE);
// obtaining the connection
NetworkInfo isNet = manager.getActiveNetworkInfo();
if(isNet!=null){
return isNet.isAvailable();
}
}
return false;
}
// get request
public static String getRequest(String strUrl){
try {
V/converting character strings to addresses
URL url = new URL(strUrl);
// connection address
HttpURLConnection urlConnection= (HttpURLConnection) url.openConnection();
// set request mode
urlConnection.setRequestMethod("GET");
// set connection timeout
urlConnection.setConnectTimeout(5000);
// set read timeout
urlConnection.setReadTimeout(5000);
// determining whether the request was successful
if(urlConnection.getResponseCode()==200){
InputStream stream = urlConnection.getInputStream();
InputStreamReader in = new InputStreamReader(stream);
BufferedReader reader=new BufferedReader(in);
StringBuffer buffer=new StringBuffer();
String str="";
while ((str=reader.readLine())!=null){
buffer.append(str);
}
return buffer.toString();
}
} catch (Exception e) {
e.printStackTrace();
}
return "";
}
}。
Specifically, fig. 2 shows a flow chart of fault monitoring, judgment and collection in the method provided by the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the monitoring and determining a fault of a computer network, and collecting and acquiring network fault data when there is a computer network fault specifically includes the following steps:
step S1011, performs fault monitoring of the computer network, and generates fault monitoring data.
Step S1012, analyzing the fault monitoring data, and determining whether there is a computer network fault.
In step S1013, when there is a computer network failure, the failure time is recorded.
Step S1014, collecting the fault monitoring data of the fault time, and generating network fault data.
Further, the method for diagnosing the fault of the computer network further comprises the following steps:
and step S102, diagnosing and processing the network fault data, judging whether the network fault can be directly processed or not, and generating an auxiliary processing signal when the network fault cannot be directly processed.
In the embodiment of the invention, the network fault data is diagnosed and analyzed by a local computer, the fault type of the network fault is determined, a local diagnosis result is generated, the network fault is tried to be processed according to the local diagnosis result, whether the processing of the network fault can be directly finished under the condition that the local computer is not networked is further judged, if the processing of the network fault can be finished, the diagnosis and the repair of the network fault are directly finished, and the subsequent steps are not carried out; and if the network fault cannot be processed, generating a corresponding auxiliary processing signal according to the local diagnosis result.
Specifically, fig. 3 shows a flowchart of local network fault diagnosis in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the diagnosing and processing the network fault data, determining whether the network fault can be directly processed, and generating the auxiliary processing signal when the network fault cannot be directly processed specifically includes the following steps:
and step S1021, diagnosing the network fault data and generating a local diagnosis result.
Step S1022, performing fault processing according to the local diagnosis result, and determining whether a network fault can be directly processed.
In step S1023, when the network failure cannot be directly processed, an auxiliary processing signal is generated according to the local diagnosis result.
Further, the method for diagnosing the fault of the computer network further comprises the following steps:
step S103, according to the auxiliary processing signal, the network fault data is sent to a plurality of other computers, and fault feedback information sent by the other computers is received.
In the embodiment of the invention, a plurality of other computers which are in communication connection with the local computer are determined, the auxiliary processing signal and the network fault data are simultaneously sent to the other computers according to corresponding communication connection channels, the other computers can respectively judge whether the same network fault is processed according to the recorded information of network fault processing, and further generate fault feedback information and send the fault feedback information in a feedback manner, and at the moment, the local computer receives the fault feedback information respectively sent by the other computers.
It is understood that the communication connection channel between the other computer and the local computer may be a bluetooth communication connection, a line communication connection, etc.
Specifically, fig. 4 shows a flowchart of auxiliary processing signal processing in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the sending the network fault data to a plurality of other computers according to the auxiliary processing signal and receiving fault feedback information sent by the plurality of other computers specifically includes the following steps:
step S1031, determining a plurality of locally connected other computers.
Step S1032 sends the auxiliary processing signal and the network fault data to a plurality of other computers.
Step S1033, receiving the failure feedback information sent by a plurality of other computers.
Further, the method for diagnosing the fault of the computer network further comprises the following steps:
and step S104, judging whether the fault diagnosis processing can be finished or not according to a plurality of fault feedback information, and screening the auxiliary computers when the fault diagnosis processing can not be finished.
In the embodiment of the invention, the fault feedback information corresponding to the result with the failure to process the fault is removed, a plurality of fault feedback information with fault diagnosis processing schemes are reserved and marked as a plurality of useful feedback information, further, fault processing attempts are respectively carried out according to the useful feedback information, whether the fault diagnosis processing can be finished is judged, and if the fault diagnosis processing can be finished, the follow-up steps are not carried out; if the fault diagnosis processing can not be completed, the network signal analysis is respectively carried out on a plurality of other computers to generate a plurality of network signal data, and the other computers with the strongest signals are screened and marked as auxiliary computers by comparing the plurality of network signal data.
Specifically, fig. 5 shows a flowchart of the failure feedback judgment processing in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the screening support computer system, which determines whether or not the failure diagnosis process can be completed based on the plurality of pieces of failure feedback information, and when the failure diagnosis process cannot be completed, includes:
step S1041, screening useful feedback information in the plurality of fault feedback information.
Step S1042, performing failure processing attempts respectively according to the plurality of useful feedback information, and determining whether failure diagnosis processing can be completed.
In step S1043, when the fault diagnosis process cannot be completed, the network signal analysis is performed on a plurality of other computers to generate a plurality of network signal data.
And S1044, screening the auxiliary computers according to the plurality of network signal data.
Further, the method for diagnosing the fault of the computer network further comprises the following steps:
and S105, establishing network sharing connection with the auxiliary computer, and performing big data fault diagnosis and analysis according to the network fault data to obtain a fault diagnosis result.
In the embodiment of the invention, the network sharing request is sent to the auxiliary computer, after the auxiliary computer agrees with the network sharing request, a shared network channel between the auxiliary computer and the auxiliary computer can be established, the big data analysis is carried out on the network fault data according to the shared network channel, the fault diagnosis result is obtained, and then the corresponding fault processing is carried out according to the fault diagnosis result.
It is understood that the auxiliary computer may be a network hotspot, such that the local computer establishes a network connection through the network hotspot; the network fault data can also be directly analyzed by the auxiliary computer through the network to obtain a fault diagnosis result, and then the fault diagnosis result is transmitted to the local computer through a communication connection channel between the auxiliary computer and the local computer.
Specifically, fig. 6 shows a flowchart of network sharing diagnostic analysis in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the establishing a network sharing connection with an auxiliary computer, and performing big data fault diagnosis analysis according to the network fault data to obtain a fault diagnosis result specifically includes the following steps:
step S1051, sending a network sharing request to the auxiliary computer.
Step S1052, after the secondary computer approves the network sharing request, establishing a shared network channel with the secondary computer.
And step S1053, according to the shared network channel, carrying out big data analysis on the network fault data to obtain a fault diagnosis result.
Further, fig. 7 is a diagram illustrating an application architecture of the system according to the embodiment of the present invention.
In another preferred embodiment, the present invention provides a system for diagnosing a failure in a computer network, comprising:
and the fault monitoring and judging unit 101 is configured to perform fault monitoring and judging on the computer network, and collect and acquire network fault data when a computer network fault exists.
In the embodiment of the present invention, during the operation of the local computer, the fault monitoring and determining unit 101 performs real-time monitoring on the network state of the computer network to generate fault monitoring data, analyzes the fault monitoring data, compares the fault monitoring data with preset standard data to determine whether there is data abnormality, determines that there is abnormality in the network of the local computer at the time when there is data abnormality, records the time corresponding to the data abnormality to obtain the fault time, and intercepts the data corresponding to the fault time from the fault monitoring data to generate network fault data.
Specifically, fig. 8 shows a block diagram of a structure of the fault monitoring and determining unit 101 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the fault monitoring and determining unit 101 specifically includes:
and the fault monitoring module 1011 is used for monitoring faults of the computer network and generating fault monitoring data.
And a network failure module 1012, configured to analyze the failure monitoring data and determine whether a computer network failure exists.
And a time recording module 1013 for recording a failure time when there is a computer network failure.
And a data collection module 1014, configured to collect fault monitoring data of the fault time, and generate network fault data.
Further, the fault diagnosis system of the computer network further includes:
the local diagnosis processing unit 102 is configured to diagnose and process the network fault data, determine whether the network fault can be directly processed, and generate an auxiliary processing signal when the network fault cannot be directly processed.
In the embodiment of the present invention, the local diagnosis processing unit 102 determines the fault type of the network fault by performing a diagnosis analysis of a local computer on the network fault data, generates a local diagnosis result, and performs an attempt processing on the network fault according to the local diagnosis result, so as to determine whether the processing of the network fault can be directly completed under the condition that the local computer is not networked, and if the processing of the network fault can be completed, the diagnosis and repair of the network fault are directly completed without performing subsequent steps; and if the network fault cannot be processed, generating a corresponding auxiliary processing signal according to the local diagnosis result.
Specifically, fig. 9 shows a block diagram of a local diagnostic processing unit 102 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the local diagnostic processing unit 102 specifically includes:
a local diagnosis module 1021, configured to diagnose the network fault data, and generate a local diagnosis result.
The processing and determining module 1022 is configured to perform fault processing according to the local diagnosis result, and determine whether a network fault can be directly processed.
And a signal generating module 1023, configured to generate an auxiliary processing signal according to a local diagnosis result when the network fault cannot be directly processed.
Further, the fault diagnosis system of the computer network further includes:
and an auxiliary sending and receiving unit 103, configured to send the network fault data to multiple other computers according to the auxiliary processing signal, and receive fault feedback information sent by the multiple other computers.
In this embodiment of the present invention, the auxiliary sending and receiving unit 103 determines a plurality of other computers in communication connection with the local computer, and sends the auxiliary processing signal and the network fault data to the plurality of other computers at the same time according to corresponding communication connection channels, and the plurality of other computers may determine whether the same network fault is processed according to the recorded information of network fault processing, and further generate fault feedback information and send the fault feedback information in a feedback manner, where the local computer receives the fault feedback information sent by the plurality of other computers.
And a fault feedback processing unit 104, configured to determine whether the fault diagnosis processing can be completed according to a plurality of pieces of fault feedback information, and screen the auxiliary computer when the fault diagnosis processing cannot be completed.
In the embodiment of the present invention, the fault feedback processing unit 104 eliminates the fault feedback information corresponding to the result that the fault cannot be processed, retains a plurality of fault feedback information having fault diagnosis processing schemes, and marks the fault feedback information as a plurality of useful feedback information, and further performs fault processing attempts according to the useful feedback information, determines whether the fault diagnosis processing can be completed, and if the fault diagnosis processing can be completed, does not perform the subsequent steps; if the fault diagnosis processing can not be completed, the network signal analysis is respectively carried out on a plurality of other computers to generate a plurality of network signal data, and the other computers with the strongest signals are screened and marked as auxiliary computers by comparing the plurality of network signal data.
And the network sharing diagnosis unit 105 is used for establishing network sharing connection with the auxiliary computer, and performing big data fault diagnosis and analysis according to the network fault data to obtain a fault diagnosis result.
In the embodiment of the present invention, the network sharing diagnosis unit 105 may establish a shared network channel with the auxiliary computer after the auxiliary computer agrees to the network sharing request by sending the network sharing request to the auxiliary computer, and perform big data analysis on the network fault data according to the shared network channel to obtain a fault diagnosis result, and further perform corresponding fault processing according to the fault diagnosis result.
Specifically, fig. 10 shows a block diagram of the network sharing diagnosis unit 105 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the network sharing diagnosis unit 105 specifically includes:
a request sending module 1051, configured to send a network sharing request to the secondary computer.
A share establishing module 1052 for establishing a shared network channel with the secondary computer after the secondary computer grants the network share request.
And the big data analysis module 1053 is configured to perform big data analysis on the network fault data according to the shared network channel to obtain a fault diagnosis result.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM), among others.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A fault diagnosis method for a computer network is characterized by specifically comprising the following steps:
monitoring and judging the fault of the computer network, and collecting and acquiring network fault data when the computer network fault exists;
diagnosing and processing the network fault data, judging whether the network fault can be directly processed or not, and generating an auxiliary processing signal when the network fault cannot be directly processed;
according to the auxiliary processing signal, sending the network fault data to a plurality of other computers, and receiving fault feedback information sent by the plurality of other computers;
judging whether the fault diagnosis processing can be finished or not according to a plurality of fault feedback information, and screening an auxiliary computer when the fault diagnosis processing cannot be finished;
and establishing network sharing connection with the auxiliary computer, and performing big data fault diagnosis and analysis according to the network fault data to obtain a fault diagnosis result.
2. The method according to claim 1, wherein the step of performing fault monitoring and determination on the computer network and collecting and acquiring network fault data when a computer network fault exists specifically comprises the steps of:
carrying out fault monitoring on a computer network to generate fault monitoring data;
analyzing the fault monitoring data and judging whether computer network faults exist or not;
when a computer network fault exists, recording fault time;
and collecting fault monitoring data of the fault time to generate network fault data.
3. The method according to claim 1, wherein the steps of diagnosing and processing the network failure data, determining whether a network failure can be directly processed, and generating an auxiliary processing signal when the network failure cannot be directly processed, comprise:
diagnosing the network fault data to generate a local diagnosis result;
performing fault processing according to the local diagnosis result, and judging whether the network fault can be directly processed;
and when the network fault cannot be directly processed, generating an auxiliary processing signal according to the local diagnosis result.
4. The method according to claim 1, wherein the step of sending the network fault data to a plurality of other computers and receiving fault feedback information sent by the plurality of other computers according to the auxiliary processing signal comprises the steps of:
determining a plurality of locally connected other computers;
sending the auxiliary processing signal and the network fault data to a plurality of other computers;
and receiving fault feedback information sent by a plurality of other computers.
5. The method according to claim 1, wherein the step of determining whether the failure diagnosis process can be completed based on the plurality of pieces of failure feedback information, and when the failure diagnosis process cannot be completed, the step of screening the auxiliary computer unit comprises the steps of:
screening useful feedback information in a plurality of fault feedback information;
respectively trying to process the fault according to the useful feedback information, and judging whether the fault diagnosis processing can be completed or not;
when the fault diagnosis processing cannot be completed, performing network signal analysis on a plurality of other computers to generate a plurality of network signal data;
and screening the auxiliary computer according to a plurality of network signal data.
6. The method according to claim 1, wherein the step of establishing a network sharing connection with the auxiliary computer, and performing big data fault diagnosis analysis according to the network fault data to obtain a fault diagnosis result specifically includes the following steps:
sending a network sharing request to the helper computer;
establishing a shared network channel with the helper computer after the helper computer has granted the network sharing request;
and according to the shared network channel, carrying out big data analysis on the network fault data to obtain a fault diagnosis result.
7. A fault diagnosis system of a computer network is characterized in that the system comprises a fault monitoring and judging unit, a local diagnosis processing unit, an auxiliary sending and receiving unit, a fault feedback processing unit and a network sharing diagnosis unit, wherein:
the fault monitoring and judging unit is used for monitoring and judging the fault of the computer network and collecting and acquiring network fault data when the computer network fault exists;
the local diagnosis processing unit is used for diagnosing and processing the network fault data, judging whether the network fault can be directly processed or not, and generating an auxiliary processing signal when the network fault cannot be directly processed;
the auxiliary sending and receiving unit is used for sending the network fault data to a plurality of other computers according to the auxiliary processing signals and receiving fault feedback information sent by the other computers;
a fault feedback processing unit for judging whether the fault diagnosis processing can be completed or not according to a plurality of fault feedback information and screening the auxiliary computer when the fault diagnosis processing can not be completed;
and the network sharing diagnosis unit is used for establishing network sharing connection with the auxiliary computer and carrying out big data fault diagnosis and analysis according to the network fault data to obtain a fault diagnosis result.
8. The system according to claim 7, wherein the failure monitoring and determining unit specifically includes:
the fault monitoring module is used for monitoring faults of a computer network and generating fault monitoring data;
the network fault module is used for analyzing the fault monitoring data and judging whether a computer network fault exists or not;
the time recording module is used for recording fault time when a computer network fault exists;
and the data collection module is used for collecting the fault monitoring data of the fault time and generating network fault data.
9. The system according to claim 7, wherein the local diagnostic processing unit specifically includes:
the local diagnosis module is used for diagnosing the network fault data to generate a local diagnosis result;
the processing and judging module is used for processing the fault according to the local diagnosis result and judging whether the network fault can be directly processed or not;
and the signal generation module is used for generating an auxiliary processing signal according to the local diagnosis result when the network fault cannot be directly processed.
10. The system according to claim 7, wherein the network sharing diagnosis unit specifically comprises:
a request sending module, configured to send a network sharing request to the auxiliary computer;
a sharing establishment module for establishing a shared network channel with the helper computer after the helper computer has granted a network sharing request;
and the big data analysis module is used for carrying out big data analysis on the network fault data according to the shared network channel to obtain a fault diagnosis result.
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| CN116634037B (en) * | 2023-07-25 | 2023-09-29 | 水利部机电研究所 | Data transmission method and system for intelligent diagnosis of water pump |
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