CN107220360A - A kind of Unified Modeling storage cut-in method based on magnanimity electric power monitoring data - Google Patents
A kind of Unified Modeling storage cut-in method based on magnanimity electric power monitoring data Download PDFInfo
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Abstract
A kind of Unified Modeling storage cut-in method based on magnanimity electric power monitoring data.The present invention sets up the subject example model of the real-time class Monitoring Data of power network based on power network CIM, being uniformly accessed into, be uniformly processed of Monitoring Data, unified storage, uniform service are realized, dispatching of power netwoks domain, metering automation domain is realized, becomes the leap data fusion in the professional domains such as pyroelectric monitor domain, meteorological domain, voltage monitoring, the quality of power supply；Using technique constructions such as MQ, Jstorm, Hadoop, Hbase, Ganglia, Nagios through data access, calculating, storage, service, the distributive data center for monitoring overall process.Wherein Hbase memory spaces 80T, meets the real-time class data storage requirement of magnanimity.The access of monitoring terminal data is realized using distributed MQ message-oriented middlewares, realize attributed data to the conversion of subject example model by Jstorm, data exception early warning is realized with reference to the early warning expression formula rule based on subject example model, most real-time class Monitoring Data is stored in Hbase distributed data bases at last.
Description
Technical field
Patent of the present invention is related to power equipment Monitoring Data field, more particularly to a kind of magnanimity real time data is uniformly built
Mould, Stream Processing technology, magnanimity distributed storage technology, it is ensured that the timely collection of the real-time class data of magnanimity, transmit, handle, depositing
Storage.
Background technology
With the explosive growth of global information amount, the big data epoch also quietly arrive, wherein, magnanimity flow data is occupied
Proportion more and more higher.The real-time processing of flow data has extremely wide demand and application prospect.According to statistics, 2014 are ended
Just, global data flow reaches that data traffic is approached per capita, and is expanding current, sea rapidly with more than 50% annual growth
Data-flow analysis is measured with handling oneself through having obtained extensive research.However, ever-increasing data traffic and stream process business
Diversified trend brings new challenge to real-time streaming data processing.And existing technology can not be met to magnanimity at a high speed well
Data carry out the demand for handling and analyzing in real time, and real-time streaming data processing procedure is often related to the mathematical modeling of complexity, needed
The basic-level support of strength is provided, to ensure that these models can be with efficient operation in magnanimity, high-speed data environment；Data when
Effect property is very strong, causes to require very harsh to the bulk delay of data handling procedure, it is necessary to obtain in second level or in the shorter time
To result, so as to further react.
It is an advantage of the present invention that this method is real based on the theme that power network CIM sets up the real-time class Monitoring Data of power network
Example model, realizes being uniformly accessed into, be uniformly processed, unifying storage, uniform service for Monitoring Data, and realize dispatching of power netwoks domain, meter
Amount automation domain, the leap data fusion for becoming the professional domains such as pyroelectric monitor domain, meteorological domain, voltage monitoring, the quality of power supply.Ensure simultaneously
The collection of the real-time class data of magnanimity, transmission, processing, the high efficiency of storage, integrality, real-time.
The content of the invention
The purpose of the present invention is precisely in order to overcoming the defect of above-mentioned prior art presence and providing a kind of based on magnanimity electric power
The Unified Modeling storage cut-in method of Monitoring Data.
The present invention is achieved by the following technical solution：
A kind of Unified Modeling storage cut-in method based on magnanimity electric power monitoring data, (unified Modeling of real time data,
Stream Processing technology, magnanimity distributed storage technology, it is ensured that the timely collections of the real-time class data of magnanimity, transmission, processing, storage
Method) comprise the following steps：
A. the measurement model in the CIM based on power network, sets up and covers monitoring terminal, sensor, monitoring attribute, power network
The subject example model that equipment is bound with monitoring terminal；
B. the transfer bus passage of monitor data file is set up based on ftp, the real-time Transmission of Monitoring Data is realized；
C, the analytics engine for building monitor data file, realize dispatching zone, metering automation domain, become pyroelectric monitor domain, meteorology
The normalized of the different document format data of domain, voltage monitoring, the quality of power supply；And by the data-pushing after normalized
To distributed MQ clusters；
D. the affirmation mechanism of primary Monitoring Data access, processing consumption is realized based on MQ messenger services, it is ensured that Monitoring Data
The integrality of processing；
E. Jstorm Stream Processing engines are based on, the procedure processing of the Monitoring Data in MQ messenger services is realized, realizes
The association conversion of terminal-example of Monitoring Data, monitoring item continually writes Monitoring Data to the mapping of subject attribute
Hbase databases；
F. based on the distributed great capacity data storages of Hbase, realize dispatching of power netwoks domain, metering automation domain, become pyroelectric monitor domain,
The reliable memory of the real time mass data such as meteorological domain, voltage monitoring, quality of power supply, while supporting efficient data query；
Wherein：
Across dispatching of power netwoks domain, metering automation domain are set up described in step a, becomes pyroelectric monitor domain, meteorological domain, voltage monitoring, electricity
The unified storage model of the real-time class data of magnanimity in the professional domain such as energy quality, so as to realize being uniformly accessed into, uniting for real-time class data
One processing, unified storage, uniform service；
Performed described in step b using Linux shell scripts timing, monitoring is obtained in real time from data bus transmission passage
Data source file (including scheduling, distribution, metering, meteorology)；
The analytics engine of data file is built described in step c, different specification, the data file of different-format are realized, to category
The preliminary Mapping and Converting of property-value, to the data processing shelf on upper strata, there is provided unified Processing Interface.
The distributed advantage based on MQ messenger services, message duration, the productive consumption of message confirm machine described in step d
System, it is ensured that the completion of the Monitoring Data of magnanimity is not lost；
Stream Processing framework based on Jstorm described in step e, realizes the pipeline of magnanimity Monitoring Data, realizes
The Mapping and Converting of monitoring terminal-grid equipment, monitors the conversion of item-attribute, most data source source constantly writes Hbase at last；
Based on the distributed great capacity data storages of Hbase described in step f, by means of the distributed skills of the Hadoop HDFS of bottom
Art, heartbeat inspecting mechanism, Zookeeper coordination techniques, realize the reliable memory of real time mass data, while the efficient number of support
It is investigated that asking.
The beneficial effects of the invention are as follows pin data source file is operated, and data problem from now on is had good grounds, to data
Error correction has fundamental basis, parsing operation can be carried out to file again when problem occurs for the quality of data, while storage number can be proofreaded
According to accuracy, and can also ensure the real-time of data, file is downloaded from ftp be stored in local hard drive in can also conveniently not
Come operation expanding be related to correlation easily reuse, by source file data according in oracle data model parsing after transmission
Data structure before storing hbase and state can be shown and allow data storage procedure transparence by RabbitMq, be supervised in addition
Survey data renewal frequency high, the characteristics of Yunnan Province's data volume is more store with reference to big data platform hbase distributions, batch, read
The characteristics of writing fast and small performance consumption, should say that both complement each other, combination that can be harmonious.Relationship type number relative to oracle
According to library storage Monitoring Data, no matter hbase is relatively superior from cost and resource consumption.
Brief description of the drawings
Fig. 1 is the flow chart of the inventive method.
Embodiment
See Fig. 1, a kind of Unified Modeling storage cut-in method based on magnanimity electric power monitoring the data, (system of real time data
One modeling, Stream Processing technology, magnanimity distributed storage technology, it is ensured that the timely collection of the real-time class data of magnanimity, transmission, place
Reason, the method for storage) comprise the following steps：
A. the measurement model in the CIM based on power network, sets up and covers monitoring terminal, sensor, monitoring attribute, power network
The subject example model that equipment is bound with monitoring terminal；
B. the transfer bus passage of monitor data file is set up based on ftp, the real-time Transmission of Monitoring Data is realized；
C, the analytics engine for building monitor data file, realize dispatching zone, metering automation domain, become pyroelectric monitor domain, meteorology
The normalized of the different document format data of domain, voltage monitoring, the quality of power supply；And by the data-pushing after normalized
To distributed MQ clusters；
D. the affirmation mechanism of primary Monitoring Data access, processing consumption is realized based on MQ messenger services, it is ensured that Monitoring Data
The integrality of processing；
E. Jstorm Stream Processing engines are based on, the procedure processing of the Monitoring Data in MQ messenger services is realized, realizes
The association conversion of terminal-example of Monitoring Data, monitoring item continually writes Monitoring Data to the mapping of subject attribute
Hbase databases；
F. based on the distributed great capacity data storages of Hbase, realize dispatching of power netwoks domain, metering automation domain, become pyroelectric monitor domain,
The reliable memory of the real time mass data such as meteorological domain, voltage monitoring, quality of power supply, while supporting efficient data query；
Wherein：
Across dispatching of power netwoks domain, metering automation domain are set up described in step a, becomes pyroelectric monitor domain, meteorological domain, voltage monitoring, electricity
The unified storage model of the real-time class data of magnanimity in the professional domain such as energy quality, so as to realize being uniformly accessed into, uniting for real-time class data
One processing, unified storage, uniform service；
Performed described in step b using Linux shell scripts timing, monitoring is obtained in real time from data bus transmission passage
Data source file (including scheduling, distribution, metering, meteorology)；
The analytics engine of data file is built described in step c, different specification, the data file of different-format are realized, to category
The preliminary Mapping and Converting of property-value, to the data processing shelf on upper strata, there is provided unified Processing Interface.
The distributed advantage based on MQ messenger services, message duration, the productive consumption of message confirm machine described in step d
System, it is ensured that the completion of the Monitoring Data of magnanimity is not lost；
Stream Processing framework based on Jstorm described in step e, realizes the pipeline of magnanimity Monitoring Data, realizes
The Mapping and Converting of monitoring terminal-grid equipment, monitors the conversion of item-attribute, most data source source constantly writes Hbase at last；
Based on the distributed great capacity data storages of Hbase described in step f, by means of the distributed skills of the Hadoop HDFS of bottom
Art, heartbeat inspecting mechanism, Zookeeper coordination techniques, realize the reliable memory of real time mass data, while the efficient number of support
It is investigated that asking.
Claims (1)
1. a kind of Unified Modeling storage cut-in method based on magnanimity electric power monitoring data, it is characterised in that including following step
Suddenly：
A. the measurement model in the CIM based on power network, sets up and covers monitoring terminal, sensor, monitoring attribute, grid equipment
The subject example model bound with monitoring terminal；
B. the transfer bus passage of monitor data file is set up based on ftp, the real-time Transmission of Monitoring Data is realized；
C. the analytics engine of monitor data file is built, dispatching zone, metering automation domain is realized, becomes pyroelectric monitor domain, meteorological domain, electricity
The normalized of the different document format data of pressure monitoring, the quality of power supply；And by the data-pushing after normalized to point
The MQ clusters of cloth；
D. the affirmation mechanism of primary Monitoring Data access, processing consumption is realized based on MQ messenger services, it is ensured that Monitoring Data processing
Integrality；
E. Jstorm Stream Processing engines are based on, the procedure processing of the Monitoring Data in MQ messenger services is realized, realizes monitoring
Monitoring Data is continually write Hbase by the association conversion of terminal-example of data, monitoring item to the mapping of subject attribute
Database；
F. based on the distributed great capacity data storages of Hbase, dispatching of power netwoks domain, metering automation domain is realized, becomes pyroelectric monitor domain, meteorology
The reliable memory of the real time mass data such as domain, voltage monitoring, quality of power supply, while supporting efficient data query；
Wherein：
Across dispatching of power netwoks domain, metering automation domain are set up described in step a, becomes pyroelectric monitor domain, meteorological domain, voltage monitoring, electric energy matter
The unified storage model of the real-time class data of magnanimity in the professional domain such as amount, thus realize being uniformly accessed into of real-time class data, it is unified at
Reason, unified storage, uniform service；
Performed described in step b using Linux shell scripts timing, Monitoring Data is obtained in real time from data bus transmission passage
Source file；
The analytics engine of data file is built described in step c, different specification, the data file of different-format are realized, to attribute-value
Preliminary Mapping and Converting, to the data processing shelf on upper strata, there is provided unified Processing Interface.
The productive consumption affirmation mechanism of distributed advantage based on MQ messenger services, message duration, message described in step d, is protected
The completion for demonstrate,proving the Monitoring Data of magnanimity is not lost；
Stream Processing framework based on Jstorm described in step e, realizes the pipeline of magnanimity Monitoring Data, realizes monitoring
The Mapping and Converting of terminal-grid equipment, monitors the conversion of item-attribute, most data source source constantly writes Hbase at last；
Based on the distributed great capacity data storages of Hbase described in step f, by means of the Hadoop HDFS distributed computing technologies of bottom, the heart
Monitoring mechanism, Zookeeper coordination techniques are jumped, the reliable memory of real time mass data is realized, while supporting efficient data to look into
Ask.
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