CN111639115A - Five-dimensional model-based analysis method for operation and maintenance data abnormity of power grid information system - Google Patents
Five-dimensional model-based analysis method for operation and maintenance data abnormity of power grid information system Download PDFInfo
- Publication number
- CN111639115A CN111639115A CN202010356493.8A CN202010356493A CN111639115A CN 111639115 A CN111639115 A CN 111639115A CN 202010356493 A CN202010356493 A CN 202010356493A CN 111639115 A CN111639115 A CN 111639115A
- Authority
- CN
- China
- Prior art keywords
- dimensional model
- layer
- information
- power grid
- maintenance data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 48
- 238000004458 analytical method Methods 0.000 title abstract description 10
- 230000002159 abnormal effect Effects 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims description 34
- 238000012544 monitoring process Methods 0.000 claims description 22
- 230000005856 abnormality Effects 0.000 claims description 5
- 238000012512 characterization method Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims 1
- 238000013523 data management Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
Abstract
The invention discloses a five-dimensional model-based analysis method for operation and maintenance data abnormity of a power grid information system, which comprises the steps of bringing all software and hardware data management into an operation and maintenance range, collecting information and constructing a five-dimensional model; and comparing the data acquired in real time with the model, judging the current system condition, if abnormity is found in a log or the model, advancing layer by layer through the five-dimensional model, judging the influence range of the affairs in the business layer, searching the abnormal reason in the basic layer through root cause analysis, and recommending a disposal strategy and proper disposal personnel according to the operation and maintenance experience knowledge base. The invention can realize the prediction of the fault condition of the node at the future time, so as to relieve the pressure of real-time operation and maintenance on operation and maintenance personnel and avoid the loss caused by the fault.
Description
Technical Field
The invention relates to the field of power grid information system exception handling, in particular to a five-dimensional model-based analysis method for power grid information system operation and maintenance data exception.
Background
The influence of the power grid information system on various industries is very great, so that the power grid information system is very important for operation and maintenance work of the power grid information system. In the prior art, the method for positioning the abnormity of the power grid information system is generally manually checked, the influence of the abnormity reason is also manually evaluated, the abnormity is monitored and reported in the prior art, the abnormity is intelligently positioned to the error reporting position, and deeper reasons cannot be automatically positioned. The problem existing in the prior art is that the positioning of the abnormal reason is slow, the influence range of the abnormality cannot be determined, and particularly, the system is positioned across systems, so that the system abnormal handling is slow, and the user experience is influenced.
With the wide and deep application of computer information, more and more business requirements need to be supported by a computer information system, and each enterprise pays great attention to the maintenance and management of computer software and hardware resources. The analysis to unusual operation and maintenance data has no doubt for discovering the system problem and the operation and maintenance personnel handles the problem and provide effective basis, can help the operation and maintenance personnel to find out the reason of system operation anomaly or prevent the emergence of system fault to a certain extent, will maintain passively and become the initiative prevention, with operation and maintenance personnel's work focus turn to in the aspect of risk analysis and fault handling, effectively avoid the risk, improve operation and maintenance personnel's work efficiency, promote operation and maintenance system fault monitoring and risk early warning ability.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the problems, the invention provides a method for analyzing the operation and maintenance data abnormity of a power grid information system based on a five-dimensional model.
The technical scheme is as follows: in order to realize the purpose of the invention, the technical scheme adopted by the invention is as follows: a method for analyzing operation and maintenance data abnormity of a power grid information system based on a five-dimensional model comprises the following steps: (1) collecting operation and maintenance data of a power grid information system; (2) constructing a five-dimensional model; (3) monitoring operation and maintenance data in real time, and comparing the operation and maintenance data with the five-dimensional model; and after the abnormity is found, root cause positioning and abnormal range influence positioning are carried out according to the five-dimensional model.
Further, in step 1, the operation and maintenance data includes infrastructure environment information, software and hardware environment information, middleware information, service system information, log information, network information, and alarm information.
Further, the five-dimensional model comprises an infrastructure layer, a physical link layer, a logical topology layer, a functional transaction layer and a business process layer.
Further, in step 2, the five-dimensional model building process includes:
(2.1) monitoring the infrastructure environment information of the system, and taking the infrastructure environment information of the system as an infrastructure layer;
(2.2) performing topological correlation on the software and hardware environment information used by the system and the specific middleware information to serve as a physical link layer;
(2.3) logically abstracting the physical link layer to form a logical topology layer;
(2.4) monitoring the functional transaction layer and associating with an entrance of a business process;
and (2.5) the service system information is an entrance of a service process, and the service process is manually combed and is a basic composition of a service process layer.
Further, acquiring infrastructure environment information from a power grid information system requires dynamic loop monitoring and out-of-band network monitoring.
Further, the APM is used as a monitoring tool for a functional event layer.
Furthermore, the five-dimensional model adopts the association of slices, each business process layer is a slice, and the slices are associated to form the five-dimensional model.
Further, in step 3, the specific steps of monitoring for abnormalities are: according to the representation of the fault occurrence, determining the slice with the problem occurrence, tracing back to a service flow layer, and determining the range influenced by the fault occurrence; and determining the section of the problem according to the characterization of the fault, and tracing back to an infrastructure layer through root cause positioning to determine the root cause of the problem.
Has the advantages that: the invention adopts the idea of pushing layer by layer due to positioning, visualizes and dynamizes the idea of solving the system problem for the operation and maintenance personnel, assists the operation and maintenance personnel in positioning the problem and analyzing the problem, searches the root cause of the problem in a short time and provides a countermeasure for solving the problem.
Drawings
Fig. 1 is a schematic diagram of a five-dimensional model of operation and maintenance data of a power grid information system according to the present invention.
Detailed Description
The technical solution of the present invention is further described below with reference to the accompanying drawings and examples.
As shown in fig. 1, the method for analyzing the operation and maintenance data anomaly of the power grid information system based on the five-dimensional model includes the following steps:
(1) acquiring infrastructure environment information, software and hardware environment information, network information, middleware information, service system information and the like of a system from a power grid information system; and updated as the information is updated.
And (3) bringing the data management of all software and hardware into an operation and maintenance range, collecting server information, network information, virtual machine information and log information, and constructing a five-dimensional model.
(2) Establishing a five-dimensional model;
the five-dimensional model is composed of five layers, namely an infrastructure layer, a physical link layer, a logic topology layer, a functional affair layer and a business process layer, in addition, various health models are constructed, and various models are continuously perfected through machine learning.
(2.1) monitoring the infrastructure environment information of the system, and taking the infrastructure environment information of the system as an infrastructure layer L1;
the infrastructure environment information obtained from the grid information system includes at least the following: temperature, humidity, water leakage, power distribution system, UPS, security, etc., and alarm information for such information. Acquiring infrastructure environment information from the affiliated power grid information system requires a dynamic loop monitoring system and an out-of-band network monitoring system.
(2.2) performing topological correlation on the software and hardware environment information used by the system and the specific middleware information to obtain a physical link layer L2;
(2.3) logically abstracting the physical link layer to form a logical topology layer L3;
(2.4) monitoring a functional transaction layer L4, associating with an entrance of a business process, and monitoring business system information; using an APM Apdex evaluation system as a main monitoring tool of a functional event layer;
and (2.5) taking the service system information as an inlet of a service process, manually combing the service process, performing manual guarantee log analysis, and forming a basic structure of a service process layer L5.
(3) Collecting operation and maintenance data of the monitored system, including log information, network information, alarm information and the like, and comparing the abnormal log with the model; and after the abnormity is found, root cause positioning and abnormal range influence positioning are carried out according to the five-digit model.
And comparing the data acquired in real time with the health model, judging the current system condition, if abnormality is found in the log or the health model, advancing layer by layer through the five-dimensional model, judging the influence range of the affairs in the business layer, searching the abnormal reason in the foundation layer through root cause analysis, and recommending a disposal strategy and proper disposal personnel according to the operation and maintenance experience knowledge base.
By adopting the scheme, the prediction of the fault condition of the node at the future time is realized, so that the pressure of real-time operation and maintenance on operation and maintenance personnel is relieved, and meanwhile, the loss caused by the fault is avoided.
The operation and maintenance data comprises at least one of the following: the complete network topology of the system, database information, middleware information, host information, IP information, and the like used by the system; the above information is required to be complete and accurate and to be maintainable.
The method comprises the following steps of associating model slices, wherein each business process layer is a slice, the slices are associated to form a five-dimensional model, and the five-dimensional model analyzes an application scene and comprises the following steps: according to the representation of the fault occurrence, the slice with the problem is determined, the slice is traced back to a business process layer, and the range of the fault influence can be determined; according to the characterization of the fault occurrence, the section of the fault occurrence is determined, according to the five-dimensional model, the root cause of the fault occurrence can be determined through root cause positioning, and the infrastructure layer can be traced back.
The five-dimensional model is not limited to the system, the abnormal influence range is evaluated across the system, and the abnormal reason is positioned across the system; the relationship of the system to other systems is also shown.
And constructing a virtual network topological graph, and dynamically monitoring the state of the system by topology, wherein when an abnormality is found, the point where the topological graph is located presents an abnormal reaction and is visually displayed to the current fault point of a user. Not only is the problem located to the dimension, but also the specific device or port in that dimension.
The five-dimensional model analysis method for the operation and maintenance data of the power grid information system meets the layering requirement of a software system, accords with the idea that the root cause positioning advances layer by layer, visualizes and dynamizes the idea that operation and maintenance personnel solve the system problem, assists the operation and maintenance personnel in positioning and analyzing the problem, searches the root cause of the problem in a short time, and provides a countermeasure for solving the problem. The five-dimensional model analysis method can assist operation and maintenance personnel to quickly recover the system problem and improve the problem solving efficiency.
Claims (8)
1. A method for analyzing operation and maintenance data abnormity of a power grid information system based on a five-dimensional model is characterized by comprising the following steps:
(1) collecting operation and maintenance data of a power grid information system;
(2) constructing a five-dimensional model;
(3) monitoring operation and maintenance data in real time, and comparing the operation and maintenance data with the five-dimensional model; and after the abnormity is found, root cause positioning and abnormal range influence positioning are carried out according to the five-dimensional model.
2. The method for analyzing the anomaly of the operation and maintenance data of the power grid information system based on the five-dimensional model according to claim 1, wherein in the step 1, the operation and maintenance data comprise infrastructure environment information, software and hardware environment information, middleware information, service system information, log information, network information and alarm information.
3. The method for analyzing the anomaly of the operation and maintenance data of the power grid information system based on the five-dimensional model as claimed in claim 1, wherein the five-dimensional model comprises an infrastructure layer, a physical link layer, a logical topology layer, a functional transaction layer and a business process layer.
4. The method for analyzing the anomaly of the operation and maintenance data of the power grid information system based on the five-dimensional model according to claim 1, wherein in the step 2, a five-dimensional model construction process comprises the following steps:
(2.1) monitoring the infrastructure environment information of the system, and taking the infrastructure environment information of the system as an infrastructure layer;
(2.2) performing topological correlation on the software and hardware environment information used by the system and the specific middleware information to serve as a physical link layer;
(2.3) logically abstracting the physical link layer to form a logical topology layer;
(2.4) monitoring the functional transaction layer and associating with an entrance of a business process;
and (2.5) the service system information is an entrance of a service process, and the service process is manually combed and is a basic composition of a service process layer.
5. The method for analyzing the operational and maintenance data abnormality of the power grid information system based on the five-dimensional model as claimed in claim 4, wherein the acquisition of the infrastructure environment information from the power grid information system requires dynamic loop monitoring and out-of-band network monitoring.
6. The method for analyzing the anomaly of the operation and maintenance data of the power grid information system based on the five-dimensional model as claimed in claim 4, wherein APM is used as a monitoring tool of the functional event layer.
7. The method for analyzing the anomaly of the operation and maintenance data of the power grid information system based on the five-dimensional model as claimed in claim 1, wherein the five-dimensional model adopts slice association, each business process layer is a slice, and the slices are associated to form the five-dimensional model.
8. The method for analyzing the anomaly of the operation and maintenance data of the power grid information system based on the five-dimensional model as claimed in claim 7, wherein in the step 3, the specific step of monitoring the anomaly is as follows: according to the representation of the fault occurrence, determining the slice with the problem occurrence, tracing back to a service flow layer, and determining the range influenced by the fault occurrence; and determining the section of the problem according to the characterization of the fault, and tracing back to an infrastructure layer through root cause positioning to determine the root cause of the problem.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010356493.8A CN111639115A (en) | 2020-04-29 | 2020-04-29 | Five-dimensional model-based analysis method for operation and maintenance data abnormity of power grid information system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010356493.8A CN111639115A (en) | 2020-04-29 | 2020-04-29 | Five-dimensional model-based analysis method for operation and maintenance data abnormity of power grid information system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111639115A true CN111639115A (en) | 2020-09-08 |
Family
ID=72332772
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010356493.8A Pending CN111639115A (en) | 2020-04-29 | 2020-04-29 | Five-dimensional model-based analysis method for operation and maintenance data abnormity of power grid information system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111639115A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102752142A (en) * | 2012-07-05 | 2012-10-24 | 深圳市易聆科信息技术有限公司 | Monitoring method and system based on multidimensional modeled information system |
| CN109067579A (en) * | 2018-08-01 | 2018-12-21 | 重庆邮电大学 | Towards the 5G network slice topology design of bottom layer node failure and reliable mapping method |
| CN110223146A (en) * | 2019-06-06 | 2019-09-10 | 国网北京市电力公司 | Client's power purchase services entire process monitoring system and method |
| CN110493025A (en) * | 2018-05-15 | 2019-11-22 | ***通信集团浙江有限公司 | It is a kind of based on the failure root of multilayer digraph because of the method and device of diagnosis |
| CN110662231A (en) * | 2019-09-25 | 2020-01-07 | 南京优速网络科技有限公司 | Network slice resource adjusting method and system for 5G environment |
| CN110825549A (en) * | 2019-11-06 | 2020-02-21 | 国家电网有限公司信息通信分公司 | Method, device, equipment and storage medium for determining information system fault root cause |
| CN110955575A (en) * | 2019-11-14 | 2020-04-03 | 国网浙江省电力有限公司信息通信分公司 | Business system fault positioning method based on correlation analysis model |
-
2020
- 2020-04-29 CN CN202010356493.8A patent/CN111639115A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102752142A (en) * | 2012-07-05 | 2012-10-24 | 深圳市易聆科信息技术有限公司 | Monitoring method and system based on multidimensional modeled information system |
| CN110493025A (en) * | 2018-05-15 | 2019-11-22 | ***通信集团浙江有限公司 | It is a kind of based on the failure root of multilayer digraph because of the method and device of diagnosis |
| CN109067579A (en) * | 2018-08-01 | 2018-12-21 | 重庆邮电大学 | Towards the 5G network slice topology design of bottom layer node failure and reliable mapping method |
| CN110223146A (en) * | 2019-06-06 | 2019-09-10 | 国网北京市电力公司 | Client's power purchase services entire process monitoring system and method |
| CN110662231A (en) * | 2019-09-25 | 2020-01-07 | 南京优速网络科技有限公司 | Network slice resource adjusting method and system for 5G environment |
| CN110825549A (en) * | 2019-11-06 | 2020-02-21 | 国家电网有限公司信息通信分公司 | Method, device, equipment and storage medium for determining information system fault root cause |
| CN110955575A (en) * | 2019-11-14 | 2020-04-03 | 国网浙江省电力有限公司信息通信分公司 | Business system fault positioning method based on correlation analysis model |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108964995B (en) | Log correlation analysis method based on time axis event | |
| CN112152830A (en) | Intelligent fault root cause analysis method and system | |
| US20190228296A1 (en) | Significant events identifier for outlier root cause investigation | |
| CN111176879A (en) | Fault repairing method and device for equipment | |
| CN106371986A (en) | Log treatment operation and maintenance monitoring system | |
| CN105337765A (en) | Distributed hadoop cluster fault automatic diagnosis and restoration system | |
| KR20180108446A (en) | System and method for management of ict infra | |
| CN106940678B (en) | System real-time health degree evaluation and analysis method and device | |
| CN113282635A (en) | Micro-service system fault root cause positioning method and device | |
| CN103049365B (en) | Information and application resource running state monitoring and evaluation method | |
| CN105071954A (en) | Resource pool fault diagnosis and positioning processing method based on probe technology | |
| CN115809183A (en) | Method for discovering and disposing information-creating terminal fault based on knowledge graph | |
| CN112749060A (en) | Power system service bus monitoring method | |
| CN116738163A (en) | Energy consumption monitoring management system and method based on rule engine | |
| CN113949652B (en) | User abnormal behavior detection method and device based on artificial intelligence and related equipment | |
| CN117391675A (en) | Data center infrastructure operation and maintenance management method | |
| CN117240594A (en) | Multi-dimensional network security operation and maintenance protection management system and method | |
| CN111639115A (en) | Five-dimensional model-based analysis method for operation and maintenance data abnormity of power grid information system | |
| CN114265324B (en) | Method and device for monitoring running state of equipment and terminal equipment | |
| CN116468423A (en) | Operation and maintenance emergency coordination method, system and terminal equipment | |
| CN109617740A (en) | A kind of method and device that application failure quickly positions | |
| CN115840656A (en) | Automatic operation and maintenance method and system for application program based on fault self-healing | |
| CN115222181B (en) | Robot operation state monitoring system and method | |
| CN115438093A (en) | Power communication equipment fault judgment method and detection system | |
| CN115437886A (en) | Fault early warning method, device and equipment based on storage and calculation integrated chip and storage |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200908 |