CN106777021A - A kind of data analysing method and device based on automation operation platform - Google Patents
A kind of data analysing method and device based on automation operation platform Download PDFInfo
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- CN106777021A CN106777021A CN201611122434.4A CN201611122434A CN106777021A CN 106777021 A CN106777021 A CN 106777021A CN 201611122434 A CN201611122434 A CN 201611122434A CN 106777021 A CN106777021 A CN 106777021A
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- 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
- G06F16/26—Visual data mining; Browsing structured data
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- 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
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
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- 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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
Abstract
The invention discloses a kind of data analysing method based on automation operation platform, including:The operation/maintenance data of tentation data dimension is extracted from the subsystems of automation operation platform, and is stored in ephemeral data warehouse;Using the data type of operation/maintenance data in the ephemeral data warehouse, it is determined that associated data parser corresponding with the operation/maintenance data, and the operation/maintenance data is analyzed by the associated data parser;It can be seen that, in the present embodiment, the operation/maintenance data in automation operation platform is analyzed by associated data analysis method, the multi-dimensional association relation implied in operation/maintenance data can be excavated, realize the analysis and excavation to operation/maintenance data;The invention also discloses a kind of data analysis set-up based on automation operation platform, above-mentioned technique effect can be equally realized.
Description
Technical field
The present invention relates to data mining and O&M automatic field, more specifically to one kind based on automation O&M
The data analysing method and device of platform.
Background technology
With the sustainable development of information age, in face of the business for becoming increasingly complex, developed into from several servers at initial stage
Huge data center, depends merely on the artificial requirement that cannot have met business, therefore automation O&M is artificial initially as replacing
Operation is widely studied and applied.The monitor in real time information of a large amount of servers is saved in the platform of automation O&M simultaneously,
For example:The data such as the overall operation situation of each business module, the exception of service operation, wherein containing some commercial values.
Therefore, valuable data how are obtained from operation/maintenance data, analysis and data mining to operation/maintenance data is realized,
It is the problem of those skilled in the art's needs solution.
The content of the invention
It is an object of the invention to provide a kind of data analysing method and device based on automation operation platform, with from fortune
Valuable data are obtained in dimension data, analysis and data mining to operation/maintenance data is realized.
To achieve the above object, the embodiment of the invention provides following technical scheme:
A kind of data analysing method based on automation operation platform, including:
The operation/maintenance data of tentation data dimension is extracted from the subsystems of automation operation platform, and is stored in nonce
According to warehouse;
Using the data type of operation/maintenance data in the ephemeral data warehouse, it is determined that association corresponding with the operation/maintenance data
Data analysis algorithm, and the operation/maintenance data is analyzed by the associated data parser.
Wherein, using the data type of operation/maintenance data in the ephemeral data warehouse, it is determined that corresponding with the operation/maintenance data
Associated data parser, including:
If the operation/maintenance data is O&M unstructured data, associated data analysis corresponding with the operation/maintenance data is calculated
Method is destructuring associated data parser;
If the operation/maintenance data is O&M structural data, associated data parser corresponding with the operation/maintenance data
It is structured asso- ciation data analysis algorithm;
If the operation/maintenance data is O&M semi-structured data, associated data analysis corresponding with the operation/maintenance data is calculated
Method is semi-structured associated data parser.
Wherein, before the operation/maintenance data of tentation data dimension is extracted from the subsystems of automation operation platform, also
Including:
Type of service according to analysis task determines the tentation data dimension.
Wherein, associated data parser corresponding with the operation/maintenance data is selected to be analyzed it to the operation/maintenance data
Afterwards, also include:
The analysis result of the operation/maintenance data is carried out into visual presentation.
Wherein, the analysis result of the operation/maintenance data is carried out into visual presentation includes:
Visual displaying is carried out to the analysis result using 3D words cloud.
A kind of data analysis set-up based on automation operation platform, including:
Data extraction module, the O&M for extracting tentation data dimension from the subsystems of automation operation platform
Data, and it is stored in ephemeral data warehouse;
Data analysis module, for the data type using operation/maintenance data in the ephemeral data warehouse, it is determined that with it is described
The corresponding associated data parser of operation/maintenance data, and the operation/maintenance data is divided by the associated data parser
Analysis.
Wherein, the data analysis module includes:
First associated data parser determining unit, for being O&M unstructured data in the operation/maintenance data, then
It is determined that associated data parser corresponding with the operation/maintenance data is destructuring associated data parser;
Second associated data parser determining unit, for being O&M structural data in the operation/maintenance data, then really
Fixed associated data parser corresponding with the operation/maintenance data is structured asso- ciation data analysis algorithm;
3rd associated data parser determining unit, for being O&M semi-structured data in the operation/maintenance data, then
It is determined that associated data parser corresponding with the operation/maintenance data is semi-structured associated data parser.
Wherein, this programme also includes:
Tentation data dimension determining module, for extracting tentation data dimension from the subsystems of automation operation platform
Before the operation/maintenance data of degree, the type of service according to analysis task determines the tentation data dimension.
Wherein, this programme also includes:
Display module, for the analysis result of the operation/maintenance data to be carried out into visual presentation.
Wherein, the display module carries out visual displaying using 3D words cloud to the analysis result.
By above scheme, a kind of data analysis side based on automation operation platform provided in an embodiment of the present invention
Method, including:The operation/maintenance data of tentation data dimension is extracted from the subsystems of automation operation platform, and is stored in nonce
According to warehouse;Using the data type of operation/maintenance data in the ephemeral data warehouse, it is determined that association corresponding with the operation/maintenance data
Data analysis algorithm, and the operation/maintenance data is analyzed by the associated data parser;It can be seen that, in the present embodiment
In, the operation/maintenance data in automation operation platform is analyzed by associated data analysis method, in excavating operation/maintenance data
Implicit multi-dimensional association relation, realizes the analysis and excavation to operation/maintenance data;The invention also discloses one kind based on automatic
Change the data analysis set-up of operation platform, can equally realize above-mentioned technique effect.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is that a kind of data analysing method flow based on automation operation platform is illustrated disclosed in the embodiment of the present invention
Figure;
Fig. 2 is that data dimension disclosed in the embodiment of the present invention extracts schematic diagram;
Fig. 3 is data analysing method schematic diagram in O&M automation platform disclosed in the embodiment of the present invention;
Fig. 4 is the application architecture schematic diagram in O&M automation of associated data analysis disclosed in the embodiment of the present invention;
Fig. 5 is a kind of data analysis set-up structural representation based on automation operation platform disclosed in the embodiment of the present invention
Figure.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
The embodiment of the invention discloses a kind of data analysing method and device based on automation operation platform, with from O&M
Valuable data are obtained in data, analysis and data mining to operation/maintenance data is realized.
Referring to Fig. 1, a kind of data analysing method based on automation operation platform provided in an embodiment of the present invention, including:
S101, the operation/maintenance data for extracting from the subsystems of automation operation platform tentation data dimension, and are stored in
Ephemeral data warehouse;
Specifically, referring to Fig. 2, many subsystems, such as server monitoring subsystem, assets are included in automation operation platform
Management module subsystem, automatically dispose subsystem, service operation Monitor And Control Subsystem etc..Therefore different data pick-up moulds are needed
Block extracts operation/maintenance data from corresponding subsystem.Because the position of the data storage of subsystems is different, therefore to O&M
When data are analyzed, not only need to consider the contact between each dimension comprising data in single subsystem, and to examine
Consider the association between each subsystem, it is therefore desirable to which O&M automation platform can quickly extract what is needed from each submodule
Data dimension, realizes the Data Integration of automation operation platform.
Wherein, before the operation/maintenance data of tentation data dimension is extracted from the subsystems of automation operation platform, also
Including:Type of service according to analysis task determines the tentation data dimension.
It should be noted that the user of automation operation platform, not necessarily grasps the data analysis capabilities of specialty, because
This, the automation operation platform in the present embodiment can provide the data dimension that can be chosen recommended for some analysis tasks
Degree, that is to say, that the tentation data dimension in the present embodiment can modify and choose according to actual conditions, so as to meet not
With the demand of data analysis system.
For example, it is desired to whether the situation for wanting each service operation of analysis has with the service condition of each hardware resource in server
Have certain contact, can choose, in certain period of time in the run time of respective business, certain period of time internal memory consumption feelings
I/O situations of disk etc. in the Expenditure Levels of CUP, certain hour in condition, certain period of time.
Specifically, with reference to Fig. 2, in order to carry out integration treatment to the operation/maintenance data extracted from different sub-systems, in this reality
To apply need in example and build ephemeral data warehouse, the operation/maintenance data extracted from each subsystem is required to storage to ephemeral data storehouse
Storehouse, that is, the data dimension needed according to associated data analysis in internal memory sets up a temporary data table, right so as to realize
The integration treatment of data in subsystems.
S102, the data type using operation/maintenance data in the ephemeral data warehouse, it is determined that corresponding with the operation/maintenance data
Associated data parser, and the operation/maintenance data is analyzed by the associated data parser.
It should be noted that referring to Fig. 3, using the data type of operation/maintenance data in the ephemeral data warehouse, it is determined that with
The corresponding associated data parser of the operation/maintenance data, including:
If the operation/maintenance data is O&M unstructured data, associated data analysis corresponding with the operation/maintenance data is calculated
Method is destructuring associated data parser;If the operation/maintenance data is O&M structural data, with the operation/maintenance data
Corresponding associated data parser is structured asso- ciation data analysis algorithm;If the operation/maintenance data is the semi-structured number of O&M
According to then associated data parser corresponding with the operation/maintenance data is semi-structured associated data parser.
Specifically, including numerous types of data in O&M automation platform, it is necessary to be directed in automation operation/maintenance data platform
Different data types provides different Association Rule Analysis algorithms.Therefore, the characteristics of being directed to operation/maintenance data is using conventional
Data mining algorithm is analyzed to operation/maintenance data.For example:Simple association analysis algorithm can process simple discrete data, when
Sequence association analysis can be with process time sequence data etc..
Based on above-mentioned technical proposal, in the present embodiment, associated data analysis corresponding with the operation/maintenance data is selected to calculate
After method is analyzed to the operation/maintenance data, also include:
The analysis result of the operation/maintenance data is carried out into visual presentation;Wherein, by the analysis result of the operation/maintenance data
Carrying out visual presentation includes:Visual displaying is carried out to the analysis result using 3D words cloud.
Specifically, referring to Fig. 4, according to the different types of data of operation/maintenance data, various associated data analyses can be selected to calculate
Method is analyzed to operation/maintenance data, for example:Associated data is divided to be divided into associated data analysis 1, associated data analysis 2 in Fig. 4 ...
Analysis n;Because the analysis result of association analysis algorithm is often dry, therefore in the present embodiment, by associated data
To the analytical structure after operation/maintenance data analysis, can automate platform by O&M carry out visual presentation, and pin to parser
Some Results are given with some simple semantic analyses.
Data analysis set-up provided in an embodiment of the present invention is introduced below, data analysis set-up described below with
Above-described data analysing method can be with cross-referenced.
Referring to Fig. 5, a kind of data analysis set-up based on automation operation platform provided in an embodiment of the present invention, including:
Data extraction module 100, for extracting tentation data dimension from the subsystems of automation operation platform
Operation/maintenance data, and it is stored in ephemeral data warehouse;
Data analysis module 200, for the data type using operation/maintenance data in the ephemeral data warehouse, it is determined that and institute
The corresponding associated data parser of operation/maintenance data is stated, and the operation/maintenance data is carried out by the associated data parser
Analysis.
Based on above-described embodiment, the data analysis module includes:
First associated data parser determining unit, for being O&M unstructured data in the operation/maintenance data, then
It is determined that associated data parser corresponding with the operation/maintenance data is destructuring associated data parser;
Second associated data parser determining unit, for being O&M structural data in the operation/maintenance data, then really
Fixed associated data parser corresponding with the operation/maintenance data is structured asso- ciation data analysis algorithm;
3rd associated data parser determining unit, for being O&M semi-structured data in the operation/maintenance data, then
It is determined that associated data parser corresponding with the operation/maintenance data is semi-structured associated data parser.
Based on above-mentioned any embodiment, the present embodiment also includes:
Tentation data dimension determining module, for extracting tentation data dimension from the subsystems of automation operation platform
Before the operation/maintenance data of degree, the type of service according to analysis task determines the tentation data dimension.
Based on above-mentioned any embodiment, the present embodiment also includes:
Display module, for the analysis result of the operation/maintenance data to be carried out into visual presentation.Wherein, the display module
Visual displaying is carried out to the analysis result using 3D words cloud.
A kind of data analysing method based on automation operation platform provided in an embodiment of the present invention, including:From automation
The operation/maintenance data of tentation data dimension is extracted in the subsystems of operation platform, and is stored in ephemeral data warehouse;Using described
The data type of operation/maintenance data in ephemeral data warehouse, it is determined that associated data parser corresponding with the operation/maintenance data, and
The operation/maintenance data is analyzed by the associated data parser;It can be seen that, in the present embodiment, by associated data
Analysis method is analyzed to the operation/maintenance data in automation operation platform, can excavate the multidimensional data implied in operation/maintenance data and close
Connection relation, realizes the analysis and excavation to operation/maintenance data;The invention also discloses a kind of data based on automation operation platform
Analytical equipment, can equally realize above-mentioned technique effect.
Each embodiment is described by the way of progressive in this specification, and what each embodiment was stressed is and other
The difference of embodiment, between each embodiment identical similar portion mutually referring to.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or uses the present invention.
Various modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, the present invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The scope most wide for causing.
Claims (10)
1. a kind of based on the data analysing method for automating operation platform, it is characterised in that including:
The operation/maintenance data of tentation data dimension is extracted from the subsystems of automation operation platform, and is stored in ephemeral data storehouse
Storehouse;
Using the data type of operation/maintenance data in the ephemeral data warehouse, it is determined that associated data corresponding with the operation/maintenance data
Parser, and the operation/maintenance data is analyzed by the associated data parser.
2. data analysing method according to claim 1, it is characterised in that using O&M number in the ephemeral data warehouse
According to data type, it is determined that associated data parser corresponding with the operation/maintenance data, including:
If the operation/maintenance data is O&M unstructured data, associated data parser corresponding with the operation/maintenance data is
Destructuring associated data parser;
If the operation/maintenance data is O&M structural data, associated data parser corresponding with the operation/maintenance data is knot
Structure associated data parser;
If the operation/maintenance data is O&M semi-structured data, associated data parser corresponding with the operation/maintenance data is
Semi-structured associated data parser.
3. data analysing method according to claim 1, it is characterised in that from the subsystems of automation operation platform
Before the middle operation/maintenance data for extracting tentation data dimension, also include:
Type of service according to analysis task determines the tentation data dimension.
4. the data analysing method according to any one in claim 1-3, it is characterised in that selection and the O&M number
After being analyzed to the operation/maintenance data according to corresponding associated data parser, also include:
The analysis result of the operation/maintenance data is carried out into visual presentation.
5. data analysing method according to claim 4, it is characterised in that carry out the analysis result of the operation/maintenance data
Visual presentation includes:
Visual displaying is carried out to the analysis result using 3D words cloud.
6. a kind of based on the data analysis set-up for automating operation platform, it is characterised in that including:
Data extraction module, the O&M number for extracting tentation data dimension from the subsystems of automation operation platform
According to, and it is stored in ephemeral data warehouse;
Data analysis module, for the data type using operation/maintenance data in the ephemeral data warehouse, it is determined that with the O&M
The corresponding associated data parser of data, and the operation/maintenance data is analyzed by the associated data parser.
7. data analysis set-up according to claim 6, it is characterised in that the data analysis module includes:
First associated data parser determining unit, for being O&M unstructured data in the operation/maintenance data, it is determined that
Associated data parser corresponding with the operation/maintenance data is destructuring associated data parser;
Second associated data parser determining unit, for being O&M structural data in the operation/maintenance data, it is determined that with
The corresponding associated data parser of the operation/maintenance data is structured asso- ciation data analysis algorithm;
3rd associated data parser determining unit, for being O&M semi-structured data in the operation/maintenance data, it is determined that
Associated data parser corresponding with the operation/maintenance data is semi-structured associated data parser.
8. data analysis set-up according to claim 6, it is characterised in that also include:
Tentation data dimension determining module, for extracting tentation data dimension from the subsystems of automation operation platform
Before operation/maintenance data, the type of service according to analysis task determines the tentation data dimension.
9. the data analysis set-up according to any one in claim 6-8, it is characterised in that also include:
Display module, for the analysis result of the operation/maintenance data to be carried out into visual presentation.
10. data analysis set-up according to claim 9, it is characterised in that the display module utilizes 3D word cloud skills
Art carries out visual displaying to the analysis result.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107247804A (en) * | 2017-06-30 | 2017-10-13 | 中国工商银行股份有限公司 | O&M big data analysis method, apparatus and system |
CN107357573A (en) * | 2017-06-26 | 2017-11-17 | 中交航局安装工程有限公司 | A kind of information-based design method of Coal Ports O&M service digitalization |
CN108447118A (en) * | 2018-03-20 | 2018-08-24 | 北京知道创宇信息技术有限公司 | Big data method for visualizing, device and the electronic equipment that 3D visions are presented |
CN109241144A (en) * | 2018-04-24 | 2019-01-18 | 中国银行股份有限公司 | Rule inspection method and system are excavated and closed to a kind of operation/maintenance data |
CN109684300A (en) * | 2018-11-20 | 2019-04-26 | 成都四方伟业软件股份有限公司 | One kind being based on visual big data warehouse design method and system |
CN111831512A (en) * | 2020-07-15 | 2020-10-27 | 北京百度网讯科技有限公司 | Method and device for checking operation and maintenance abnormity, electronic equipment and storage medium |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101271475A (en) * | 2008-04-02 | 2008-09-24 | 北京邮电大学 | Commercial intelligent system |
WO2012057728A1 (en) * | 2010-10-25 | 2012-05-03 | Hewlett-Packard Development Company, L.P. | Providing information management |
CN104767813A (en) * | 2015-04-08 | 2015-07-08 | 江苏国盾科技实业有限责任公司 | Public bank big data service platform based on openstack |
-
2016
- 2016-12-08 CN CN201611122434.4A patent/CN106777021A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101271475A (en) * | 2008-04-02 | 2008-09-24 | 北京邮电大学 | Commercial intelligent system |
WO2012057728A1 (en) * | 2010-10-25 | 2012-05-03 | Hewlett-Packard Development Company, L.P. | Providing information management |
CN104767813A (en) * | 2015-04-08 | 2015-07-08 | 江苏国盾科技实业有限责任公司 | Public bank big data service platform based on openstack |
Non-Patent Citations (4)
Title |
---|
匿名: "Oracle企业转型解决方案系列——大数据和分析参考架构", 《ORACLE白皮书URL:HTTPS://WWW.ORACLE.COM/ASSETS/ORACLE-WP-BIG-DATA-REFARCH-2019930-ZHS.PDF》 * |
山东省地方税务局: "《税务信息化基础及应用》", 30 November 2012 * |
杨琦: "《企业财务集成管理信息系统 基于价值创造流程的体系结构与应用模式》", 31 December 2009 * |
黄俊东: "ERP 运维信息数据挖掘与分析的技术研究", 《华中电力》 * |
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CN107357573A (en) * | 2017-06-26 | 2017-11-17 | 中交航局安装工程有限公司 | A kind of information-based design method of Coal Ports O&M service digitalization |
CN107247804A (en) * | 2017-06-30 | 2017-10-13 | 中国工商银行股份有限公司 | O&M big data analysis method, apparatus and system |
CN107247804B (en) * | 2017-06-30 | 2020-09-15 | 中国工商银行股份有限公司 | Operation and maintenance big data analysis method, device and system |
CN108447118A (en) * | 2018-03-20 | 2018-08-24 | 北京知道创宇信息技术有限公司 | Big data method for visualizing, device and the electronic equipment that 3D visions are presented |
CN109241144A (en) * | 2018-04-24 | 2019-01-18 | 中国银行股份有限公司 | Rule inspection method and system are excavated and closed to a kind of operation/maintenance data |
CN109241144B (en) * | 2018-04-24 | 2022-02-08 | 中国银行股份有限公司 | Operation and maintenance data mining and compliance checking method and system |
CN109684300A (en) * | 2018-11-20 | 2019-04-26 | 成都四方伟业软件股份有限公司 | One kind being based on visual big data warehouse design method and system |
CN111831512A (en) * | 2020-07-15 | 2020-10-27 | 北京百度网讯科技有限公司 | Method and device for checking operation and maintenance abnormity, electronic equipment and storage medium |
CN111831512B (en) * | 2020-07-15 | 2024-03-15 | 北京百度网讯科技有限公司 | Method and device for detecting operation and maintenance abnormality, electronic equipment and storage medium |
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