CN114706994A - Operation and maintenance management system and method based on knowledge base - Google Patents
Operation and maintenance management system and method based on knowledge base Download PDFInfo
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- CN114706994A CN114706994A CN202210279846.8A CN202210279846A CN114706994A CN 114706994 A CN114706994 A CN 114706994A CN 202210279846 A CN202210279846 A CN 202210279846A CN 114706994 A CN114706994 A CN 114706994A
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Abstract
The invention provides an operation and maintenance management system based on a knowledge base, which comprises: the knowledge base module is used for collecting operation and maintenance knowledge to form a knowledge graph library; the fusion support module is used for realizing the fusion of multivariate data by carrying out data synchronization and integrated management on data from different sources; fusing multi-element services through standardized process modeling; the decision analysis module is used for establishing a database and an analysis model for decision analysis according to the operation and maintenance knowledge and knowledge map library provided by the knowledge base module and the monitoring data provided by the operation and maintenance monitoring module, and acquiring an operation and maintenance decision suggestion through the analysis model; the operation and maintenance monitoring module is used for monitoring fault information and positioning and processing the fault; the automatic operation and maintenance module identifies the problems in operation and maintenance through an automatic tool, and realizes the automatic operation and maintenance management including fault prediction and fault self-healing. The support management of the market to the operation and maintenance service of the information integration system in the prior art is met.
Description
Technical Field
The application relates to the technical field of operation and maintenance management, in particular to an operation and maintenance management system and method based on a knowledge base.
Background
The information system operation maintenance system is synchronously developed along with the informatization process, becomes a complete system branch in the field of informatization after years of practice and technical update, and plays an important role in the informatization development process.
With the continuous expansion of the market, the continuous increase of users, the continuous complication of equipment, systems and integrated environments, the continuous emergence of new equipment, new technology and new problems, the traditional operation maintenance management system can not adapt to the support management of the market for the operation and maintenance service of the information integrated system in the prior art.
Disclosure of Invention
In order to solve the above problem, the present application provides an operation and maintenance management system based on a knowledge base, including:
the knowledge base module is used for collecting operation and maintenance knowledge to form a knowledge spectrum base; the decision analysis module provides the operation and maintenance knowledge and the knowledge spectrum library to the decision analysis module;
the fusion support module is used for realizing the fusion of multivariate data by carrying out data synchronization and integrated management on data from different sources; fusing multi-element services through standardized process modeling; the integrated access to different service platforms is realized through a unified data frame; establishing a multi-dimensional message center to realize the cooperative sending and receiving of different operation and maintenance equipment manufacturers and different layer levels;
the decision analysis module is used for establishing a database and an analysis model for decision analysis according to the operation and maintenance knowledge and knowledge map library provided by the knowledge base module and the monitoring data provided by the operation and maintenance monitoring module, and acquiring an operation and maintenance decision suggestion through the analysis model;
the operation and maintenance monitoring module is used for monitoring fault information, positioning and processing faults and realizing the full life cycle management of the faults; sending the relevant monitoring data to the decision analysis module;
the automatic operation and maintenance module identifies the problems in operation and maintenance through an automatic tool, and realizes the automatic operation and maintenance management including fault prediction and fault self-healing.
Preferably, the knowledge base module comprises information about the problem being handled and the solution.
Preferably, the knowledge base module is used for collecting operation and maintenance knowledge to form a knowledge graph library, and comprises:
collecting operation and maintenance knowledge, and cleaning and classifying the operation and maintenance knowledge;
and connecting various operation and maintenance knowledge in series to form a knowledge map library.
Preferably, the fusion of the multivariate data is realized by performing data synchronization and integrated management on data from different sources, including:
carrying out data synchronization on data in a relational database and a non-relational database in any one synchronization mode of batch, full and increment;
and integrating and managing the synchronized data to realize the fusion of various data.
Preferably, the fusion of the multi-element services is performed by standardized process modeling, which includes:
establishing a unified metadata model library and a process interaction model library through a standardized process modeling tool and a standardized process model tool;
processing the related data of the multi-element service through the unified metadata model library and the process interaction model library; and controlling the flow of the multi-element service through the flow interaction model library to realize the fusion of the multi-element service.
Preferably, the operation and maintenance decision suggestion is obtained through the analysis model, and the operation and maintenance decision suggestion comprises:
and analyzing the monitoring data through the analysis model to obtain an operation and maintenance decision suggestion.
Preferably, the positioning and processing of the fault to realize the full life cycle management of the fault includes:
determining the position of the fault by analyzing fault information, and processing the fault;
and after the fault processing is finished, removing the fault to form a fault processing form.
Preferably, the automation tool is used for identifying the problems existing in the operation and maintenance through the automation operation and maintenance tool and the operation and maintenance means, and comprises the following steps:
faults and problems existing in operation and maintenance are automatically identified through an automatic operation and maintenance tool.
The application provides an operation and maintenance management method based on a knowledge base, which comprises the following steps:
collecting operation and maintenance knowledge to form a knowledge base map;
establishing an analysis model for decision analysis according to the monitoring data and the knowledge base map; analyzing the monitoring data according to the analysis model to obtain an operation and maintenance decision suggestion;
and determining the position of the fault by analyzing fault information according to the knowledge base map, and processing the fault.
Preferably, the operation and maintenance knowledge is collected to form a knowledge base map, and the method comprises the following steps:
collecting operation and maintenance knowledge, and cleaning and classifying the operation and maintenance knowledge;
and connecting various operation and maintenance knowledge in series to form a knowledge map library.
Drawings
FIG. 1 is a block diagram of a knowledge-base-based operation and maintenance management system provided by the present invention;
FIG. 2 is a method and a flowchart for operation and maintenance management based on a knowledge base according to the present invention.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, but rather construed as limited to the embodiments set forth herein.
Fig. 1 is a structural diagram of an operation and maintenance management system based on a knowledge base according to the present invention, and it can be seen from the structural diagram that the operation and maintenance management system includes:
the knowledge base module is used for collecting operation and maintenance knowledge to form a knowledge spectrum base; the decision analysis module provides the operation and maintenance knowledge and the knowledge spectrum library to the decision analysis module;
the fusion support module is used for realizing the fusion of multivariate data by carrying out data synchronization and integrated management on data from different sources; fusing multi-element services through standardized process modeling; the integrated access to different service platforms is realized through a unified data frame; establishing a multi-dimensional message center to realize the cooperative sending and receiving of different operation and maintenance equipment manufacturers and different layer levels;
the decision analysis module is used for establishing a database and an analysis model for decision analysis according to the operation and maintenance knowledge and knowledge map library provided by the knowledge base module and the monitoring data provided by the operation and maintenance monitoring module, and acquiring an operation and maintenance decision suggestion through the analysis model;
the operation and maintenance monitoring module is used for monitoring fault information, positioning and processing faults and realizing the full life cycle management of the faults; sending the relevant monitoring data to the decision analysis module;
the automatic operation and maintenance module identifies the problems in operation and maintenance through an automatic tool, and realizes the automatic operation and maintenance management including fault prediction and fault self-healing.
The operation and maintenance management system can support project operation and maintenance and product operation and maintenance. Meanwhile, innovation project construction units, information system integration units, operation and maintenance service administrative departments, operation and maintenance service teams, software and hardware systems, product manufacturers and other operation and maintenance related organizations in related fields are brought into the platform, and operation and maintenance services, operation and maintenance service management, operation and maintenance service supervision, operation and maintenance service decisions and operation and maintenance service expansion are provided for different user groups; and operation and maintenance service technical support and data support are provided, and the management of the whole operation and maintenance service process is realized.
The operation and maintenance management system is designed based on a micro-service architecture, service functions are decoupled, module-level loose coupling and independently deployable components or services are realized, service access is carried out through an API gateway, access security and identity verification are provided, combination and communication are carried out among micro-service components through an REST (representational state transfer), event streams and a message agent mechanism, and the stack of each single service is optimized independently for each service. Due to the design of the micro-service, the operation and maintenance management system is more flexible in service combination, more complete in upgrading and more convenient, and can meet the market demand of information change.
And the knowledge base module establishes an operation and maintenance knowledge oriented acquisition, maintenance, audit, release and indexing mechanism to form a multi-layer knowledge base technical system, and the knowledge base system realizes the accumulation, the audit, the utilization and the uploading of the operation and maintenance knowledge. Including information about and solutions to the problem being handled.
The knowledge base module is used for collecting operation and maintenance knowledge, and cleaning and classifying the operation and maintenance knowledge; and connecting various operation and maintenance knowledge in series to form a knowledge map library. The method is designed based on a mainstream open source retrieval engine, supports control of insertion, deletion, modification and the like of knowledge in a knowledge base, and provides knowledge compatibility and redundancy check; a multi-dimensional data acquisition scheme is adopted, and knowledge points are automatically acquired through multiple angles such as operation and maintenance work orders, processing procedures, solutions, historical experiences and the like, so that automatic cleaning, classification, cataloguing, labeling and index processing are provided for the acquired knowledge; and providing a plurality of expression forms such as logic expression, semantic network expression, frame knowledge expression, object-oriented expression, ontology knowledge expression, rule knowledge expression and the like for the added knowledge.
The knowledge base module is used for connecting, organizing and fusing various operation and maintenance data (structured, semi-structured, text, audio and video images and other data) to form a knowledge map library, extracting knowledge elements such as entities, relations and attributes from the disclosed semi-structured and non-structured data through knowledge extraction, and eliminating ambiguity between referents such as entities, relations and attributes and fact objects through knowledge fusion to form a high-quality knowledge base; the implicit knowledge is mined on the basis of the existing knowledge base through knowledge reasoning, so that the knowledge base is enriched and expanded, a long-acting updating mechanism is formed, the knowledge map base can be continuously updated and enriched along with the access of new data, and data support is provided for intelligent mining model services for operation and maintenance work and decision making.
The fusion support module is used for providing a diversified fusion mechanism of operation and maintenance services, establishing an online shared cooperation platform, building multi-party factories such as service, operation and maintenance, products and the like, coordinating, scheduling and supervising operation and maintenance tasks in a unified manner, fusing diversified services and data, establishing a unified message distribution mechanism, and forming a cross-platform and cross-service diversified online operation and maintenance service operation management mechanism.
Fusing multivariate data, namely synchronizing data in a relational database and data in a non-relational database in any one of a batch, full and incremental manner; and integrating and managing the synchronized data to realize the fusion of various data. The integrated fusion management of the multivariate data, the data fusion integration is to organically centralize the data with different sources, formats and characteristic properties logically or physically, and can carry out data synchronization and integration on heterogeneous data sources under the condition of a complex network through the management of effective circulation and circulation of the data among applications, wherein the data fusion integration supports the database types such as a relational database and a non-relational database, supports the batch, full and incremental synchronization of offline data, and solves the problems of the distribution, the heterogeneity, the effectiveness and the timeliness of the multivariate data.
Fusing multi-element services, namely establishing a unified metadata model base and a process interaction model base by standardizing a process modeling tool and a process model tool; processing the related data of the multi-element service through the unified metadata model library and the process interaction model library; and controlling the flow of the multi-element service through the flow interaction model library to realize the fusion of the multi-element service. Aiming at diversified business processing, an intelligent workflow business processing mechanism is adopted, a central multi-node distributed workflow operation platform is established, unified control on workflow process control and application management data is provided, and a unified metadata model and a process interaction model library are formed through a standardized flow modeling tool and a standardized flow model tool; establishing a cooperative workflow execution service, and effectively managing and controlling flow explanation definition, process instance generation, external resource interaction and planning, execution and quitting of the flow; therefore, the process progress and tracking of the multi-element business are unified, and each party is standardized to execute the specification.
For the fusion of different service platforms, a unified data frame, a support frame, an application frame and a display frame are adopted to realize the fusion access of the different service platforms, so that the interaction with the multi-element service is better. The platform adopts a new generation of agile development platform, realizes a low-code service development mode, simplifies development processes of service forms, system interaction and the like, is compatible with system platforms such as windows, linux, IOS, Android and the like, simultaneously supports access of various terminals such as a PC, a mobile terminal, a smart phone, IOT and the like, fully considers different service scenes, and meets operation and maintenance service application of cross-system, fast platform and cross-terminal.
The multivariate message fusion management is to ensure the online efficient collaboration of diversified manufacturers, a fusion support system provides an efficient collaborative message synchronous processing mechanism, and a multidimensional message processing center is established through a distributed deployment form to complete the sending and receiving of collaborative messages of different manufacturers, different regions and different layers and levels. And a message body and queue, message mirroring, message selection, message delay, message expiration and retransmission and other multiprocessing mechanisms are provided, and the high efficiency and the real-time performance of message transmission and exchange are ensured.
And the decision analysis module analyzes the monitoring data through the decision analysis model to obtain an operation and maintenance decision suggestion. By utilizing modern information technology and decision analysis method, through establishing a database and an analysis model, the information is digitalized, databased and networked developed by taking comprehensive information resources as key points, and the scattered comprehensive information database is subjected to standard linkage, structure optimization, scale expansion, network interconnection, information sharing and comprehensive application development to form an integrated processing, exchange publishing, decision consultation and technical support center of enterprise information resources.
The operation and maintenance monitoring module is used for determining the position of the fault by analyzing the fault information and processing the fault; and after the fault processing is finished, removing the fault to form a fault processing form. The operation and maintenance monitoring module supports full automatic acquisition and full life cycle management of asset information, fault finding, reporting, positioning and processing flow operation, provides visual and diversified alarm notification management, and automatically generates a multi-dimensional report and intelligently inspects.
The automatic operation and maintenance module automatically identifies faults and problems in operation and maintenance through an automatic tool and the automatic operation and maintenance tool, and realizes the automatic operation and maintenance management including fault prediction and fault self-healing. The automatic operation and maintenance module provides a series of automatic operation and maintenance tools and operation and maintenance means, realizes automatic processing of operation and maintenance scenes such as software release, patch distribution, operation scripts and routing inspection, introduces technologies such as AI, intelligent learning and big data analysis, actively identifies and responds to potential problems through machine learning and advanced analysis methods, realizes the conversion from passive response to active intervention of operation and maintenance, and gradually realizes intelligent operation and maintenance capabilities such as intelligent change, fault prediction and fault self-healing.
Based on the same inventive concept, the operation and maintenance management method based on the knowledge base provided by the invention at the same time, as shown in fig. 2, comprises the following steps:
s201, collecting operation and maintenance knowledge to form a knowledge base map;
step S202, establishing an analysis model for decision analysis according to monitoring data and the knowledge base map; analyzing the monitoring data according to the analysis model to obtain an operation and maintenance decision suggestion;
and S203, determining the position of the fault by analyzing fault information according to the knowledge base map, and processing the fault.
Preferably, operation and maintenance knowledge is collected and cleaned and classified; and connecting various operation and maintenance knowledge in series to form a knowledge map library.
The operation and maintenance management system and method based on the knowledge base can simultaneously meet the requirements of a plurality of different task targets in an operation and maintenance service system, improve the management quality of a service provider on operation and maintenance services, further control the cost of the services, increase the flexibility and speed of the operation and maintenance services, and better respond to the operation and maintenance service requirements. The method can be suitable for supporting and managing the operation and maintenance service of the information integration system in the market in the prior art.
Claims (10)
1. An operation and maintenance management system based on a knowledge base, which is characterized by comprising:
the knowledge base module is used for collecting operation and maintenance knowledge to form a knowledge spectrum base; the decision analysis module provides the operation and maintenance knowledge and the knowledge spectrum library to the decision analysis module;
the fusion support module is used for realizing the fusion of multivariate data by carrying out data synchronization and integrated management on data from different sources; fusing multi-element services through standardized process modeling; the integrated access to different service platforms is realized through a unified data frame; establishing a multi-dimensional message center to realize the cooperative sending and receiving of different operation and maintenance equipment manufacturers and different layer levels;
the decision analysis module is used for establishing a database and an analysis model for decision analysis according to the operation and maintenance knowledge and knowledge map library provided by the knowledge base module and the monitoring data provided by the operation and maintenance monitoring module, and acquiring an operation and maintenance decision suggestion through the analysis model;
the operation and maintenance monitoring module is used for monitoring fault information, positioning and processing faults and realizing the full life cycle management of the faults; sending the relevant monitoring data to the decision analysis module;
the automatic operation and maintenance module identifies the problems in operation and maintenance through an automatic tool, and realizes the automatic operation and maintenance management including fault prediction and fault self-healing.
2. The system of claim 1, wherein the knowledge base module comprises information about and solutions to the problem being processed.
3. The system of claim 1, wherein the knowledge base module is configured to collect operation and maintenance knowledge to form a knowledge graph base, and comprises:
collecting operation and maintenance knowledge, and cleaning and classifying the operation and maintenance knowledge;
and connecting various operation and maintenance knowledge in series to form a knowledge map library.
4. The system of claim 1, wherein the fusion of the multivariate data is realized by performing data synchronization and integrated management on data from different sources, and the fusion comprises the following steps:
carrying out data synchronization on data in a relational database and a non-relational database in any one synchronization mode of batch, full and increment;
and integrating and managing the synchronized data to realize the fusion of various data.
5. The system of claim 1, wherein the fusion of the plurality of services through standardized process modeling comprises:
establishing a unified metadata model library and a process interaction model library through a standardized process modeling tool and a standardized process model tool;
processing the related data of the multi-element service through the unified metadata model library and the process interaction model library; and controlling the flow of the multi-element service through the flow interaction model library to realize the fusion of the multi-element service.
6. The system of claim 1, wherein obtaining an operation and maintenance decision proposal through the analytical model comprises:
and analyzing the monitoring data through the analysis model to obtain an operation and maintenance decision suggestion.
7. The system of claim 1, wherein locating and processing the fault to enable full lifecycle management of the fault comprises:
determining the position of the fault by analyzing fault information, and processing the fault;
and after the fault processing is finished, removing the fault to form a fault processing form.
8. The system of claim 1, wherein the automated tool is configured to identify problems in the operation by the automated operation tool and the operation means, and the identifying comprises:
faults and problems existing in operation and maintenance are automatically identified through an automatic operation and maintenance tool.
9. An operation and maintenance management method based on a knowledge base is characterized by comprising the following steps:
collecting operation and maintenance knowledge to form a knowledge base map;
establishing an analysis model for decision analysis according to the monitoring data and the knowledge base map; analyzing the monitoring data according to the analysis model to obtain an operation and maintenance decision suggestion;
and determining the position of the fault by analyzing fault information according to the knowledge base map, and processing the fault.
10. The method of claim 9, wherein collecting operation and maintenance knowledge to form a knowledge base map comprises:
collecting operation and maintenance knowledge, and cleaning and classifying the operation and maintenance knowledge;
and connecting various operation and maintenance knowledge in series to form a knowledge map library.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115185923A (en) * | 2022-07-07 | 2022-10-14 | 中国气象局气象探测中心 | Method, system and intelligent terminal for managing meteorological observation metadata |
| WO2024027071A1 (en) * | 2022-08-01 | 2024-02-08 | 中电科大数据研究院有限公司 | Data monitoring method and system |
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2022
- 2022-03-21 CN CN202210279846.8A patent/CN114706994A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115185923A (en) * | 2022-07-07 | 2022-10-14 | 中国气象局气象探测中心 | Method, system and intelligent terminal for managing meteorological observation metadata |
| CN115185923B (en) * | 2022-07-07 | 2023-03-07 | 中国气象局气象探测中心 | Method and system for managing meteorological observation metadata and intelligent terminal |
| WO2024027071A1 (en) * | 2022-08-01 | 2024-02-08 | 中电科大数据研究院有限公司 | Data monitoring method and system |
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