CN108804601A - Power grid operation monitors the active analysis method of big data and device - Google Patents
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Abstract
A kind of active analysis method of power grid operation monitoring big data of offer of the embodiment of the present invention and device, including：Obtain electric network data to be analyzed；According to the property of the idle state of Analysis server and analysis task, target analysis server is determined；The target analysis server provides analysis running environment for the analyzing container based on different metalanguages；The electric network data to be analyzed and the analysis task are input to the analyzing container to analyze.The present invention can extend analyst coverage to business front end and management tip, realize multiple services " flow on-line monitoring " and " detailed data monitoring ", comprehensive analysis is realized to operation monitoring data, to orientation problem factor place, and then more change processing aid decision is provided from the visual angle of data for enterprise.The present invention can also improve the analysis efficiency and effect of operation monitoring data, be built for informatization enterprise of power grid enterprises, the effect of upgrading synergy and enhancing enterprise competitiveness performance bigger.
Description
Technical field
The present embodiments relate to technical field of data processing more particularly to a kind of power grid operation monitoring big data are active
Analysis method and device.
Background technology
With with the expansion of information-based, automation, the interactive intelligent grid construction for turning to essential characteristic, the number of power grid enterprises
According to assets, Types of Farewell is more single, increases the more slow epoch, and all kinds of business datum sharp increases of power grid are shown
Measure the features such as big, real-time, value height, various structures.Power grid enterprises decide power grid number to the analysis application power of electric network data
According to the value of assets.In face of the economic environment and industrial situation frequently changed, the analysis result according to electric network data is more needed
It improves decision-making capability and then problems of operation is diagnosed with sensitive reaction speed in time.
In the prior art, power grid enterprises are mainly that business department provides the index calculated to the analysis method of electric network data
Data, operation monitoring department are simply summarized, are compared.But with the continuous expansion of power grid enterprises' business, arranges and collect
Electric network data scale continues to increase, and magnanimity growth trend is presented in data, and above method analysis data volume is limited, it is difficult to operation
Monitoring data realize comprehensive analysis, and to can not be where orientation problem factor, and then it is even more impossible to be enterprise from the visual angle of data
Change processing aid decision is provided.
Invention content
A kind of active analysis method of power grid operation monitoring big data of offer of the embodiment of the present invention and device, it is existing to solve
There is technology analysis data volume limited, it is difficult to realize comprehensive analysis to operation monitoring data, to can not orientation problem factor institute
, and then it is even more impossible to provide change processing aid decision from the visual angle of data for enterprise.
The embodiment of the present invention provides a kind of power grid operation monitoring active analysis method of big data, including：It obtains to be analyzed
Electric network data；According to the property of the idle state of Analysis server and analysis task, target analysis server is determined；The target
Analysis server provides analysis running environment for the analyzing container based on different metalanguages；By the electric network data to be analyzed and
The analysis task is input to the analyzing container and is analyzed.
The embodiment of the present invention provides a kind of power grid operation monitoring active analytical equipment of big data, including：Acquisition module, really
Cover half block and analysis module；The acquisition module, for obtaining electric network data to be analyzed；The determining module, for basis point
The property for analysing the idle state and analysis task of server, determines target analysis server；The target analysis server is base
Analysis running environment is provided in the analyzing container of different metalanguages；The analysis module is used for the power grid number to be analyzed
It is analyzed according to the analyzing container is input to the analysis task.
The embodiment of the present invention provides a kind of power grid operation Analysis on monitoring data equipment, including：At least one processor；And
At least one processor being connect with the processor communication, wherein：The memory, which is stored with, to be executed by the processor
Program instruction, the processor calls described program instruction to be able to carry out method as described above.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, which is characterized in that the non-transient meter
Calculation machine readable storage medium storing program for executing stores computer instruction, and the computer instruction makes the computer execute method as described above.
The active analysis method of power grid operation provided in an embodiment of the present invention monitoring big data and device are waited for point by obtaining
Analyse electric network data；According to the property of the idle state of Analysis server and analysis task, target analysis server is determined；The mesh
Mark Analysis server provides analysis running environment for the analyzing container based on different metalanguages；By the electric network data to be analyzed
It is input to the analyzing container with the analysis task to be analyzed, can operation monitoring data be realized with comprehensive analysis, to
Where orientation problem factor, and then more change processing aid decision is provided from the visual angle of data for enterprise.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Some bright embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is that power grid operation of the present invention monitors the active analysis method embodiment flow chart of big data；
Fig. 2 is call-by mechanism schematic diagram of the present invention；
Fig. 3 is that power grid operation of the present invention monitors the active analysis method flow chart of big data；
Fig. 4 is that power grid operation of the present invention monitors the active analytical equipment example structure schematic diagram of big data.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
The every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
The present invention provides a kind of power grid operation monitoring active analysis method of big data, and operation monitoring business is required
Various dimensions, multiple services operation data time series, methodization realize that sequencing is automatic by distributed online computing architecture
Processing, meanwhile, the operation detailed data of the power grid enterprises of magnanimity is included in operation monitoring range, passes through correlation rule self study
The mode potential association between discovery business automatically, reduces human intervention, mitigate the lengthy and tedious work proofreaded by hand, improve it is information-based
The cost of labor that analysis is realized in the efficiency and then reduction information system of management, helps enterprise quickly to read interpretation problems of operation soon,
The science decision deployment of power grid enterprises is improved, the management level for promoting specialized department suffers from significance.
As shown in Figure 1, the embodiment of the present invention provides a kind of power grid operation monitoring active analysis method of big data, including：
101, electric network data to be analyzed is obtained；102, according to the property of the idle state of Analysis server and analysis task, target is determined
Analysis server；The target analysis server provides analysis running environment for the analyzing container based on different metalanguages；
103, the electric network data to be analyzed and the analysis task analyzing container is input to analyze.
In the present embodiment, electric network data to be analyzed is during power grid operation monitoring data, that is, power grid operation to be analyzed
Data for monitoring electrical network business.Fig. 2 is call-by mechanism schematic diagram of the present invention.According to the idle state of Analysis server and
When determining target analysis server, analysis is used using the analysis engine for running on master application server for the property of analysis task
Server free dispatching algorithm determines target analysis server, to ensure the load balancing of target analysis server.Target analysis
The analysis running environment that server provides supports the analyzing container of a variety of metalanguages, so as to support multilingual online point
Analysis ensures the on-line continuous operation of different language parser.The electric network data to be analyzed and the analysis task are inputted
When being analyzed to the analyzing container, the analysis engine for running on master application server is realized by Java client kit
It is connect with Matlab, RServe Analysis server example of operation, according to the operating condition of Analysis server by analysis task tune
The Analysis server of dispensing free time realizes the arranged side by sideization operation of analysis task.Meanwhile analyzing running environment operating analysis server
Example receives analysis task, calls R scripts, is analyzed electric network data to be analyzed in analyzing container.When data volume is larger
When, distribution can be used (such as：Spark, Hadoop) it calculates and improves operation efficiency.Wherein, standby application server takes in main application
Business device breaks down and can not be used when normal use
Power grid operation provided in an embodiment of the present invention monitors the active analysis method of big data, by obtaining power grid to be analyzed
Data；According to the property of the idle state of Analysis server and analysis task, target analysis server is determined；The target analysis
Server provides analysis running environment for the analyzing container based on different metalanguages；By the electric network data to be analyzed and described
Analysis task is input to the analyzing container and is analyzed, and can extend analyst coverage to business front end and management tip, realizes
Multiple services " flow on-line monitoring " and " detailed data monitoring " realizes comprehensive analysis, to position to operation monitoring data
Where problematic factor, and then more change processing aid decision is provided from the visual angle of data for enterprise.The present invention can also improve fortune
The analysis efficiency and effect for seeking monitoring data, for the construction of informatization enterprise of power grid enterprises, upgrading synergy and enhancing enterprise competitiveness
Play the effect of bigger.
In addition, passing through the acquisition and transmission of multi-source information, the processing of multi-source heterogeneous Homogeneous, multi-level association in time model
Establish the active that dominant functional relation and recessive correlativity between the operations such as matching discovery data realize business monitoring
Perception；The incidence relation found based on active perception obtains the degree of association and correlativity as a result, carry out quantification treatment to it
Threshold value realizes the active diagnosing of business monitoring.
As a kind of alternative embodiment, the acquisition electric network data to be analyzed specifically includes：Define electrical network business data mould
Type, and the electric network data to be analyzed is obtained from source database and related service system according to the electrical network business data model.
In the present embodiment, related service system include regulation and control operating system, financial managing and control system, power purchase transaction system,
ERP system and PMS systems etc..Since electric network data type is various, in order to effectively carry out power grid operation monitoring data point
Analysis need to define power grid operation monitoring business data model.Power grid operation monitoring service data master model includes power grid operation monitoring
Conventional data table and required factor dependent variable needed for business evaluation index and operation monitoring operational indicator incidence relation rule
Then library, cause and effect are traced to the source the design description table in library and quantitative analysis library.Data to be analyzed can be related to corporation plan budget, power grid fortune
The various aspects such as battalion, core resource, critical workflow, special topic monitoring, realization monitor company's detailed data management, business activities complete
Covering.The method that electrical network business data model is stored respectively using data structure description, real data, data structure description use
Commercial data base relation table, master data describe to form three kinds of internal storage data stream, tables of data and data block forms.
As a kind of alternative embodiment, it is described according to the electrical network business data model from source database and related service system
System obtains the electric network data to be analyzed, specifically includes：According to the electrical network business data model from source database and related industry
Business system carries out data pick-up and filtering, obtains original electrical network business data；It is pre- by the original electrical network business data standard
If data-stream form, obtain the electric network data to be analyzed.
In the present embodiment, when obtaining original electrical network business data, different numbers can be established according to data source feature
According to Fabric Interface.As shown in figure 3, for the real-time stream of magnanimity, it can be by Kafka Producer interfaces by real time data
Stream access is convenient for distribution in line computation；For unstructured non-real-time data stream, the mode of data block can be used, just
In being stored in MongoDB database tables；For the structuring non-real-time data for needing to be converted into HDFS and being handled again, can lead to
It crosses Sqoop and realizes data pick-up and conversion, be stored in SparkSQL.According to operation monitoring business data model requirement, conversion
Data include data description and data flow.Wherein, Kafka buses are according to data stream size, the real time data that Kafka is exported
It circulates and realizes the pretreatment of data first into Spark Streaming, realize the bases such as Data Dimensionality Reduction, reparation, factor calculating
It is stored in Redis after operation；The extraction of message is realized by ZBus buses for general asynchronous real-time messages stream, convenient for real
The real-time processing of existing message.
As a kind of alternative embodiment, further include after the acquisition electric network data to be analyzed：Utilize local regression model
The electric network data to be analyzed is repaired.
In the present embodiment, since there may be abnormal datas in electric network data to be analyzed, in order to avoid abnormal data pair
The influence of subsequent data analysis can be used machine learning model and carry out quality reparation to electric network data to be analyzed.Preferably, it uses
Local regression model, i.e., using etc. ranges estimate that model carries out pair come the Reasonable Parameters range of pre- measurement equipment, then with real data
Than.By simplifying it is assumed that electric network data to be analyzed distribution meets Normal Distribution Characteristics, the high data of outlier index will be according to distribution
Feature is repaired automatically.
As a kind of alternative embodiment, the analyzing container based on different metalanguages is R analyzing containers and Matlab
Analyzing container.
In the present embodiment, data to be analyzed may be respectively necessary for being divided in R analyzing containers and Matlab analyzing containers
Analysis, at this point, analysis running environment is provided simultaneously with RServe, Matlab Builder for Java Runtime Environment, but with RServe
Based on.R scripts call the jar packets that matlab is compiled out using rJava interfaces, and data are exchanged with Redis using RRedis interfaces,
Spark Distributed Calculations are used using RSpark.For being analyzed using R analyzing containers, analysis running environment operation
RServe server instances receive the analysis task of analysis engine distribution, call the R scripts of analysis engine distribution, pass through
The script interfaces such as RRedis, RMongoDB receive or extract flow data, data block, the unsupervised learnings such as operating analysis algorithm, prison
It superintends and directs learning model and carries out data analysis, analysis result can save in Redis, MongoDB and MySQL.Period, if analysis mould
Type has used distributed computing platform, directly invokes RSpark, RHadoop interface to realize Distributed Calculation.R analyzing containers are adopted
It is allocated with RServe and application server realizing network；Matlab analyzing containers will using Matlab Builder for Java
The m files of Matlab change into jar packets, the machine learning algorithm packet for directly using R, Matlab to provide.Machine learning algorithm packet is used
It is analyzed in electric network data to be analyzed.
Analyzing container stores all parser model program and script, and the model of each analysis scene can be realized
It at a R script, is put into analyzing container, parameter distribution is done by analyzing container, script calls and result output.The present invention
In, the edit tool using RStudio as Container Management, script is R language, some algorithm program is that Matlab is realized.
The m files of Matlab are changed into jar packets by Matlab programs using Matlab Builder for Java tools, are passed through by R scripts
RJava interfaces call the jar algorithm packets of Matlab.
It is described that the electric network data to be analyzed and the analysis task are input to described point as a kind of alternative embodiment
Analysis container is analyzed, and is specifically included：The electric network data to be analyzed and the analysis task are input to the analyzing container,
It is associated, cause and effect is traced to the source and forecast analysis.
In the present embodiment, include that the correlation rule analyzed for electric network data to be analyzed is calculated in analyzing container
Method, cause and effect are traced to the source algorithm, quantitative analysis algorithm, described so that the electric network data to be analyzed and the analysis task to be input to
It when analyzing container, is associated, cause and effect is traced to the source and forecast analysis.It is real that all results calculated in real time are storable in Redis memories
In Shi Ku.
As a kind of alternative embodiment, the method further includes：Analysis result is shown using visualization tool.
In the present embodiment, Redis memories real-time database, MySQL and MongoDB can be used to store the reality of analysis result respectively
When data, SQL data and NoSQL data.Java-API is implemented using Restful interface architectures.The visualization of Web uses
EChart, D3 show that analysis result, complex data analysis result are shown using the Shiny in close relations with R, the Web of Shiny
Page is embedded into Web client picture.
As shown in figure 4, the embodiment of the present invention provides a kind of power grid operation monitoring active analytical equipment of big data, including：
Acquisition module 41, determining module 42 and analysis module 43；The acquisition module 41, for obtaining electric network data to be analyzed；It is described
Determining module 42, for according to the idle state of Analysis server and the property of analysis task, determining target analysis server；Institute
It states target analysis server and provides analysis running environment for the analyzing container based on different metalanguages；The analysis module 43,
It is analyzed for the electric network data to be analyzed and the analysis task to be input to the analyzing container.
Power grid operation provided in an embodiment of the present invention monitors the active analytical equipment of big data, by obtaining power grid to be analyzed
Data；According to the property of the idle state of Analysis server and analysis task, target analysis server is determined；The target analysis
Server provides analysis running environment for the analyzing container based on different metalanguages；By the electric network data to be analyzed and described
Analysis task is input to the analyzing container and is analyzed, and can extend analyst coverage to business front end and management tip, realizes
Multiple services " flow on-line monitoring " and " detailed data monitoring " realizes comprehensive analysis, to position to operation monitoring data
Where problematic factor, and then more change processing aid decision is provided from the visual angle of data for enterprise.It is also possible to carry
The analysis efficiency and effect of height operation monitoring data, it is competing for the construction of informatization enterprise of power grid enterprises, upgrading synergy and enhancing enterprise
Strive the effect that power plays bigger.
The embodiment of the present invention provides a kind of power grid operation Analysis on monitoring data equipment, including：At least one processor；And
At least one processor being connect with the processor communication, wherein：The memory, which is stored with, to be executed by the processor
Program instruction, the processor calls described program instruction to be able to carry out the method that above-mentioned each method embodiment is provided, example
Such as include：101, electric network data to be analyzed is obtained；102, according to the property of the idle state of Analysis server and analysis task, really
Set the goal Analysis server；The target analysis server provides analysis operation ring for the analyzing container based on different metalanguages
Border；103, the electric network data to be analyzed and the analysis task analyzing container is input to analyze.
The present embodiment provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage medium
Computer instruction is stored, the computer instruction makes the computer execute the method that above-mentioned each method embodiment is provided, example
Such as include：101, electric network data to be analyzed is obtained；102, according to the property of the idle state of Analysis server and analysis task, really
Set the goal Analysis server；The target analysis server provides analysis operation ring for the analyzing container based on different metalanguages
Border；103, the electric network data to be analyzed and the analysis task analyzing container is input to analyze.
The apparatus embodiments described above are merely exemplary, wherein the unit illustrated as separating component can
It is physically separated with being or may not be, the component shown as unit may or may not be physics list
Member, you can be located at a place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of module achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case of, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It is realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be expressed in the form of software products in other words, should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, it will be understood by those of ordinary skill in the art that：It still may be used
With technical scheme described in the above embodiments is modified or equivalent replacement of some of the technical features；
And these modifications or replacements, various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of power grid operation monitors the active analysis method of big data, which is characterized in that including：
Obtain electric network data to be analyzed；
According to the property of the idle state of Analysis server and analysis task, target analysis server is determined；The target analysis
Server provides analysis running environment for the analyzing container based on different metalanguages；
The electric network data to be analyzed and the analysis task are input to the analyzing container to analyze.
2. according to the method described in claim 1, it is characterized in that, the acquisition electric network data to be analyzed specifically includes：
Electrical network business data model is defined, and is obtained from source database and related service system according to the electrical network business data model
Take the electric network data to be analyzed.
3. according to the method described in claim 2, it is characterized in that, it is described according to the electrical network business data model from source data
Library and related service system obtain the electric network data to be analyzed, specifically include：
Data pick-up and filtering are carried out from source database and related service system according to the electrical network business data model, obtains original
Beginning electrical network business data；
It is preset data-stream form by the original electrical network business data standard, obtains the electric network data to be analyzed.
4. according to the method described in claim 3, it is characterized in that, further including after the acquisition electric network data to be analyzed：
The electric network data to be analyzed is repaired using local regression model.
5. according to the method described in claim 1, it is characterized in that, the analyzing container based on different metalanguages is R points
Analyse container and Matlab analyzing containers.
6. according to the method described in claim 1, it is characterized in that, described appoint the electric network data to be analyzed with the analysis
Business is input to the analyzing container and is analyzed, and specifically includes：
The electric network data to be analyzed and the analysis task are input to the analyzing container, be associated, cause and effect is traced to the source and
Forecast analysis.
7. according to the method described in claim 1, it is characterized in that, the method further includes：
Analysis result is shown using visualization tool.
8. a kind of power grid operation monitors the active analytical equipment of big data, which is characterized in that including：Acquisition module, determining module
And analysis module；
The acquisition module, for obtaining electric network data to be analyzed；
The determining module, for according to the idle state of Analysis server and the property of analysis task, determining that target analysis takes
Business device；The target analysis server provides analysis running environment for the analyzing container based on different metalanguages；
The analysis module is carried out for the electric network data to be analyzed and the analysis task to be input to the analyzing container
Analysis.
9. a kind of power grid operation Analysis on monitoring data equipment, which is characterized in that including：
At least one processor；And
At least one processor being connect with the processor communication, wherein：
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program to instruct energy
Enough methods executed as described in claim 1 to 7 is any.
10. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction makes the computer execute the method as described in any one of claim 1-7.
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| CN110363383A (en) * | 2019-06-03 | 2019-10-22 | 华东电力试验研究院有限公司 | A kind of distributed power generation monitoring technology based under digital development |
| CN110633082A (en) * | 2019-09-26 | 2019-12-31 | 山东浪潮商用***有限公司 | Dynamic data display method and system combining echart and html |
| CN116862071A (en) * | 2023-07-18 | 2023-10-10 | 杭州博晟科技有限公司 | Urban operation index data prediction method based on mixing model |
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