CN109818808B - Fault diagnosis method and device and electronic equipment - Google Patents
Fault diagnosis method and device and electronic equipment Download PDFInfo
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Abstract
The invention provides a fault diagnosis method, a fault diagnosis device and electronic equipment, which are applied to the power industry and belong to the technical field of fault diagnosis of production service systems. According to the fault diagnosis method, the fault diagnosis device and the electronic equipment provided by the embodiment of the invention, when fault alarm information of a service system is received, operation data of the service system and operation data of network equipment related to the service system are collected according to a pre-established power production service application model; the collected operation data is subjected to omnibearing network fault correlation analysis, and network-level fault diagnosis and positioning can be quickly and accurately carried out on the power production service application, so that the efficiency and the performance of a communication network are improved.
Description
Technical Field
The invention relates to the technical field of fault diagnosis of a service system, in particular to a fault diagnosis method, a fault diagnosis device and electronic equipment.
Background
With the comprehensive construction and rapid development of the informatization of the network and the application, more and more power production business applications are operated on the network architecture, so that the continuous, efficient and safe operation of the network is guaranteed, and the stable operation of the power production business applications can be effectively guaranteed. However, currently, when performing fault analysis on conventional power production service application, fault handlers can only perform single-source fault troubleshooting from the service system itself, and after troubleshooting the problems of the fault handlers, the fault troubleshooting is performed on the service application peripheral environment (such as a database, an operating system, a hardware environment, a network environment, and the like), which results in long fault handling period, low efficiency, and high cost.
Moreover, when analyzing network layer faults, a processing person needs to know the network environment where the service application is located and has certain network knowledge. When network troubleshooting analysis is performed, the connectivity and performance problems of the network need to be analyzed manually, and fault points are located by using a layering, blocking, segmenting and replacing method.
Disclosure of Invention
In view of the problems in the prior art, the invention provides a fault diagnosis method, a fault diagnosis device and electronic equipment, which can quickly and accurately perform network-level fault diagnosis and positioning on power production business applications.
In a first aspect, an embodiment of the present invention provides a fault diagnosis method, including:
when fault warning information of a service system is received, collecting operation data of the service system and operation data of network equipment associated with the service system according to a pre-established power production service application model; the service system is a power production service system;
performing relevance analysis on the collected operation data;
determining whether a network layer fault occurs according to a preset network fault knowledge base;
if so, positioning the fault point and generating a network analysis report containing fault point information;
and if not, generating a network analysis report of the normal network.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the power generation business application model includes a connection relationship between a hardware device and a software module of the business system; the step of collecting the operation data of the business system and the operation data of the network equipment associated with the business system according to a pre-established power production business application model comprises the following steps:
collecting the operation data of the service system according to the connection relation;
and determining the network equipment associated with the business system according to the power production business application model, and collecting the operation data of the network equipment associated with the business system.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the determining, according to the power generation service application model, a network device associated with the service system, and the collecting operation data of the network device associated with the service system includes:
determining adjacent network equipment according to the power production service application model, and collecting operation data of the adjacent network equipment;
and determining the network equipment with the same path according to the power production service application model, and collecting the operation data of the network equipment with the same path.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the step of performing relevance analysis on the collected operation data includes:
selecting abnormal operation data from the operation data;
acquiring operation data associated with the operation data with the abnormal index;
and preliminarily determining the fault reason according to the abnormal operation data of the index and the associated operation data.
In a second aspect, an embodiment of the present invention further provides a fault diagnosis apparatus, including:
the data collection module is used for collecting the operation data of the service system and the operation data of the network equipment associated with the service system according to a pre-established power production service application model when receiving fault alarm information of the service system;
the data analysis module is used for carrying out relevance analysis on the collected operation data;
the fault diagnosis module is used for determining whether a network layer fault occurs according to a preset network fault knowledge base; if so, positioning the fault point and generating a network analysis report containing fault point information; and if not, generating a network analysis report of the normal network.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the power generation business application model includes a connection relationship between a hardware device and a software module of the business system; the data collection module is further configured to:
collecting the operation data of the service system according to the connection relation;
and determining the network equipment associated with the business system according to the power production business application model, and collecting the operation data of the network equipment associated with the business system.
With reference to the first possible implementation manner of the second aspect, an embodiment of the present invention provides a second possible implementation manner of the second aspect, wherein the data collection module is further configured to:
according to the power production business application model, determining adjacent network equipment, and collecting operation data of the adjacent network equipment;
and determining the network equipment with the same path according to the power production service application model, and collecting the operation data of the network equipment with the same path.
With reference to the second aspect, an embodiment of the present invention provides a third possible implementation manner of the second aspect, where the data analysis module is further configured to:
selecting abnormal operation data from the operation data;
acquiring operation data associated with the operation data with the abnormal index;
and preliminarily determining the fault reason according to the abnormal operation data of the index and the associated operation data.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory and a processor; the memory has stored thereon a computer program which, when executed by the processor, performs the method of any of the first aspects.
In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, performs the steps of the method in any one of the first aspect.
The embodiment of the invention has the following beneficial effects:
according to the fault diagnosis method, the fault diagnosis device and the electronic equipment provided by the embodiment of the invention, when fault alarm information of a service system is received, operation data of the service system and operation data of network equipment related to the service system are collected according to a pre-established power production service application model; the collected operation data is subjected to omnibearing network fault correlation analysis, and network-level fault diagnosis and positioning can be quickly and accurately carried out on the power production service application, so that the efficiency and the performance of a communication network are improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a fault diagnosis method provided by an embodiment of the invention;
fig. 2 is a block diagram of a fault diagnosis apparatus according to an embodiment of the present invention;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The embodiment of the invention provides a fault diagnosis method, a fault diagnosis device and electronic equipment, aiming at the problem that manual troubleshooting is needed when troubleshooting is performed on network equipment around power production business application in the prior art.
Example one
The present embodiment provides a fault diagnosis method, as shown in fig. 1, the method includes the following steps:
step S102, when fault warning information of a service system is received, collecting operation data of the service system and operation data of network equipment related to the service system according to a pre-established power production service application model. The service system is a power production service system.
The power production business application model is pre-established. The power generation business application model comprises connection relations between hardware equipment and software modules of the business system, and the connection relations can be represented in a topological graph mode. A topological graph can be constructed according to the connection relation of hardware equipment and the connection relation of software modules related to a business system in reality, and an electric power production business application model is generated. The power production business application model can also display business application scenes of a business system.
And collecting the operation data of the hardware equipment or the software module of the service system according to the connection relation.
And determining network equipment associated with the business system according to the power production business application model, and collecting operation data of the network equipment associated with the business system. Specifically, the neighboring network devices may be determined based on the power generation service application model, and the operational data of the neighboring network devices may be collected. The adjacent network device is a network device adjacent to a device operating the service system. And determining the network equipment with the same path according to the power production service application model, and collecting the operation data of the network equipment with the same path. The same-path network device refers to a network device through which data passes in a path from the start device to the end device.
The operational data of the network device may include at least one of: equipment alarm information, logs, operating conditions, profile data, and the like. The section data is data reflecting the operation condition of the network equipment at the time point of the fault.
Step S104, performing relevance analysis on the collected operation data.
Selecting abnormal operation data from the operation data; acquiring operation data associated with the operation data with the abnormal index; and preliminarily determining the fault reason according to the abnormal operation data of the index and the associated operation data.
Step S106, determining whether a network layer fault occurs according to a preset network fault knowledge base; if yes, go to step S108; if not, step S110 is executed.
And determining whether the network layer fault occurs or not according to the preliminarily determined fault reason and a preset network fault knowledge base.
And step S108, positioning the fault point and generating a network analysis report containing fault point information.
Step S110, a network analysis report of normal network is generated.
If a network layer fault occurs, analyzing a fault source according to the collected operation data, positioning a fault point, and generating a network analysis report containing fault point information. If no network layer fault occurs, generating a network analysis report of normal network, which indicates that the service system has a fault.
According to the fault diagnosis method provided by the embodiment of the invention, when fault alarm information of a service system is received, according to a pre-established power production service application model, the application alarm information is utilized, and related elements such as alarm information, operation conditions, section data, log information and the like of adjacent and same-path network equipment on the same time axis are combined, so that the related dynamic data and fuzzy reasoning are deeply mined from the time dimension, the network fault correlation analysis is carried out in an all-around manner, the network-level fault diagnosis and positioning can be rapidly and accurately carried out on the power production service application, and the efficiency and the performance of a communication network are improved.
Example two
Corresponding to the above method embodiment, the present embodiment provides a fault diagnosis apparatus, as shown in fig. 2, the apparatus includes the following modules:
the data collection module 21 is configured to, when receiving fault alarm information of a service system, collect operation data of the service system and operation data of network equipment associated with the service system according to a pre-established power production service application model;
a data analysis module 22, configured to perform relevance analysis on the collected operation data;
the fault diagnosis module 23 is configured to determine whether a network layer fault occurs according to a preset network fault knowledge base; if so, positioning the fault point and generating a network analysis report containing fault point information; and if not, generating a network analysis report of the normal network.
The power production business application model comprises a connection relation between hardware equipment and a software module of the business system; the data collection module 21 is further configured to: collecting the operation data of the service system according to the connection relation; and determining the network equipment associated with the business system according to the power production business application model, and collecting the operation data of the network equipment associated with the business system.
The data collection module 21 may be further configured to: determining adjacent network equipment according to the power production service application model, and collecting operation data of the adjacent network equipment; and determining the network equipment with the same path according to the power production service application model, and collecting the operation data of the network equipment with the same path.
The data analysis module 22 may be further configured to: selecting abnormal operation data from the operation data; acquiring operation data associated with the operation data with the abnormal index; and preliminarily determining the fault reason according to the abnormal operation data of the index and the associated operation data.
According to the fault diagnosis device provided by the embodiment of the invention, when fault alarm information of a service system is received, according to a pre-established power production service application model, the application alarm information is utilized, and related elements such as alarm information, operation conditions, section data, log information and the like of adjacent and same-path network equipment on the same time axis are combined, so that the related dynamic data and fuzzy reasoning are deeply mined from the time dimension, the network fault correlation analysis is carried out in an all-around manner, the network-level fault diagnosis and positioning can be rapidly and accurately carried out on the power production service application, and the efficiency and the performance of a communication network are improved.
EXAMPLE III
The embodiment provides an electronic device corresponding to the method embodiment. Fig. 3 is a schematic structural diagram of the electronic device, and as shown in fig. 3, the electronic device includes a processor 31 and a memory 32; the memory 32 is used for storing one or more computer instructions, which are executed by the processor to implement the fault diagnosis method.
The implementation shown in fig. 3 further comprises a bus 33 and a network interface 34, and the processor 31, the network interface 34 and the memory 32 are connected by the bus 33.
The Memory 32 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The bus 33 may be an ISA bus, a PCI bus, an EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 3, but this does not indicate only one bus or one type of bus.
The network interface 34 is used to connect with at least one neighboring network device and other network elements.
The processor 31 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 31. The Processor 31 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 32, and the processor 31 reads the information in the memory 32 and completes the steps of the method of the foregoing embodiment in combination with the hardware thereof.
Embodiments of the present invention further provide a machine-readable storage medium, where the machine-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are called and executed by a processor, the machine-executable instructions cause the processor to implement the fault diagnosis method, and specific implementation may refer to method embodiments, and will not be described herein again.
The fault diagnosis method, the fault diagnosis device and the electronic equipment provided by the embodiment of the invention have the same technical characteristics, so that the same technical problems can be solved, and the same technical effects can be achieved.
It should be noted that, in the embodiments provided in the present invention, it should be understood that the disclosed system and method can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided by the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein.
Claims (9)
1. A fault diagnosis method, comprising:
when fault warning information of a service system is received, collecting operation data of the service system and operation data of network equipment associated with the service system according to a pre-established power production service application model; the service system is a power production service system;
selecting abnormal operation data from the operation data;
acquiring operation data associated with the operation data with the abnormal index;
preliminarily determining a fault reason according to the abnormal operation data of the index and the associated operation data; determining whether a network layer fault occurs according to a preset network fault knowledge base;
if so, positioning the fault point and generating a network analysis report containing fault point information;
and if not, generating a network analysis report of the normal network.
2. The method of claim 1, wherein the power production business application model comprises a connection relationship between hardware devices and software modules of the business system; the step of collecting the operation data of the business system and the operation data of the network equipment associated with the business system according to a pre-established power production business application model comprises the following steps:
collecting the operation data of the service system according to the connection relation;
and determining the network equipment associated with the business system according to the power production business application model, and collecting the operation data of the network equipment associated with the business system.
3. The method of claim 2, wherein determining network devices associated with the business system based on the power production business application model, and wherein collecting operational data for the network devices associated with the business system comprises:
according to the power production business application model, determining adjacent network equipment, and collecting operation data of the adjacent network equipment;
and determining the network equipment with the same path according to the power production service application model, and collecting the operation data of the network equipment with the same path.
4. A failure diagnosis device characterized by comprising:
the data collection module is used for collecting the operation data of the service system and the operation data of the network equipment associated with the service system according to a pre-established power production service application model when receiving fault alarm information of the service system;
the data analysis module is used for selecting the abnormal operation data from the operation data; acquiring operation data associated with the operation data with the abnormal index; preliminarily determining a fault reason according to the abnormal operation data of the index and the associated operation data;
the fault diagnosis module is used for determining whether a network layer fault occurs according to a preset network fault knowledge base; if so, positioning the fault point and generating a network analysis report containing fault point information; if not, generating a network analysis report of normal network.
5. The apparatus of claim 4, wherein the power production business application model comprises a connection relationship between hardware devices and software modules of the business system; the data collection module is further configured to:
collecting the operation data of the service system according to the connection relation;
and determining the network equipment associated with the business system according to the power production business application model, and collecting the operation data of the network equipment associated with the business system.
6. The apparatus of claim 5, wherein the data collection module is further configured to:
determining adjacent network equipment according to the power production service application model, and collecting operation data of the adjacent network equipment;
and determining the network equipment with the same path according to the power production service application model, and collecting the operation data of the network equipment with the same path.
7. The apparatus of claim 4, wherein the data analysis module is further configured to:
selecting abnormal operation data from the operation data;
acquiring operation data associated with the operation data with the abnormal index;
and preliminarily determining the fault reason according to the abnormal operation data of the index and the associated operation data.
8. An electronic device comprising a memory and a processor; the memory has stored thereon a computer program which, when executed by the processor, performs the method of any of claims 1 to 3.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of the claims 1 to 3.
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| CN110928799B (en) * | 2019-12-05 | 2023-03-21 | 锐捷网络股份有限公司 | Software fault positioning method and device |
| CN113472583B (en) * | 2021-07-06 | 2023-04-28 | 北京奇艺世纪科技有限公司 | Fault cause identification method, device and system |
| CN117272152A (en) * | 2023-11-16 | 2023-12-22 | 晶科储能科技有限公司 | Energy storage system fault diagnosis method, system, electronic equipment and storage medium |
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