CN105652232B - A kind of online abnormality diagnostic method of electric power meter based on stream process and system - Google Patents
A kind of online abnormality diagnostic method of electric power meter based on stream process and system Download PDFInfo
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Abstract
The invention discloses a kind of online abnormality diagnostic method of electric power meter based on stream process and system；Step：Measure anomaly analysis data acquisition step：The data needed for anomaly analysis are obtained from the database of power information acquisition system；Logic chain generation step：Generate a variety of single abnormity diagnosis logic chains；Stream process rate-determining steps：To the processing of single abnormity diagnosis logic chain, store the result into stream process state-storage module；It is balanced to distribute processing task to stream process working node according to the load state information of each stream process working node updated in stream process state-storage module；Stream process job step：The single abnormity diagnosis to electric power meter is completed, realizes the parallel processing of multiple stream process working nodes；Abnormal relevant diagnosis step：Diagnosis, generation metering abnormity diagnosis result and O＆M suggestion are associated, and is sent to power information acquisition system；Realize the quick online abnormity diagnosis to electric power meter.
Description
Technical field
The present invention relates to Electric Energy Metering Technology field, more particularly to a kind of electric power meter based on stream process are different online
Normal diagnostic method and system.
Background technology
In power system, electric power meter is one of indispensable important component, mainly by all kinds
Electric energy meter, metering voltage, current transformer and its secondary circuit, the composition such as electric energy metering cabinet (case), be power supply enterprise's reality
The important evidence of existing power trade, its operation conditions and the whether accurate interests for being directly connected to user of gathered data and power supply
The economic benefit of enterprise.Meanwhile with the propulsion of China's new round power system reform, social capital is encouraged to enter sale of electricity city
, electric company is to improve customer satisfaction and the market competitiveness of its own, lifts the O＆M efficiency of electric power meter,
Research is carried out in the detection of electric power meter and the fast quick-recovery of failure etc..
Traditional user's electric power meter detection work, which relies primarily on testing staff, periodically arrives electricity consumption scene and tests
Detection, the plenty of time, which has all spent, rushes in the road at electricity consumption scene, reduces operating efficiency.With microelectric technique, lead to
The continuous development of letter technology etc. and perfect, accelerate electric energy meter and develop to intelligent direction；Meanwhile electric company is built electricity consumption
Information acquisition system, current acquisition system have stored the bulk information that can be used for metering device on-line monitoring, including voltage, electricity
The data such as stream, active power, reactive power, power factor and clock of power meter, but abundant analysis mining is not yet obtained, these
So that the long-range monitoring and inline diagnosis of electric energy meter are increasingly taken seriously.
In addition, as " all standing, full collection " target is done step-by-step, the electric power meter quantity increase of access, number
According to horizontal lifting is excavated, the data scale that causing on-line monitoring need to be handled increases sharply, while to electric power meter in business
Extremely the promptness fed back requires more and more higher, and current on-line monitoring method and system is difficult to meet these present situations.At present should
It is general to mass data processing to use distributed data processing pattern.
The content of the invention
The purpose of the present invention is exactly to solve the above problems, there is provided a kind of electric power meter based on stream process is online
Abnormality diagnostic method and system, required business datum is extracted from power information acquisition system, on the basis of stream process framework
It is upper to carry out the single abnormity diagnosis of electric power meter, abnormal relevant diagnosis, realize to the quick online different of electric power meter
Often diagnosis.
To achieve these goals, the present invention adopts the following technical scheme that：
A kind of online abnormality diagnostic method of electric power meter based on stream process, comprises the following steps：
Step (1)：Measure anomaly analysis data acquisition step：It is single according to being obtained from metering abnormity diagnosis rule base
Abnormity diagnosis rule configures to data to be extracted in power information acquisition system, from the data of power information acquisition system
The data needed for anomaly analysis, deposit metering anomaly analysis database are obtained in storehouse；
Step (2)：Logic chain generation step：A variety of single abnormity diagnosis logics are generated according to single abnormity diagnosis rule
Chain；
Step (3)：Stream process rate-determining steps：The single abnormity diagnosis logic chain that logic chain generation step is submitted is received, it is right
Single abnormity diagnosis logic chain does serializing processing, the logical block according to caused by being handled serializing, is single abnormity diagnosis logic
Chain distributes processing task, and by result storage into stream process state-storage module；Mould is stored always according to stream process state
The load state information of each stream process working node updated in block, it is balanced to distribute processing task to stream process working node；
Step (4)：Stream process job step：Every processing task in single abnormity diagnosis logic chain is run, in real time
The load state information of each stream process working node is stored into stream process state-storage module, completed to electric power meter
Single abnormity diagnosis, realize the parallel processing of multiple stream process working nodes；
Step (5)：Abnormal relevant diagnosis step：On the basis of single abnormity diagnosis result, further associated
Diagnosis, generation metering abnormity diagnosis result and O＆M suggestion, and it is sent to power information acquisition system.
The metering anomaly analysis data acquisition step, including：
Information extraction sub-step：Anomaly analysis basic data is extracted from power information acquisition system；
Data conversion sub-step：Obtain anomaly analysis basic data, handle due to data redundancy caused by communicative reasons and
Missing, redundant data is removed, benefit calls missing data together, and according to single abnormity diagnosis business demand is measured that the metering of extraction is abnormal
Analyze data merges, converts and decoupled operation, forms the analyze data needed for anomaly analysis；
Data load sub-step：Analyze data needed for anomaly analysis is loaded into metering anomaly analysis database.
The metering devices such as anomaly analysis basic data includes electric energy meter game clock lid event, SOT state of termination quantitative change position records are related
The data that collect of the electric power meter such as event information, active energy indicating value, power curve, take the acquisition systems such as control message
Metering device archives such as control instruction message, user's contract capacity, maximum demand issued to electric power meter etc..
The stream process job step, including：
Guard sub-step：Obtained from stream process state-storage module all logical blocks and processing duty mapping relation,
The logical block that work distribution chart and stream process working node need to be handled, and it is distributed to work sub-step；Processing is monitored simultaneously to appoint
The heartbeat message of business and the load condition situation of stream process working node, are stored in stream process state-storage module；Guard son
Step inquires about in stream process state-storage module the information for whether having renewal by the way of poll, and upgrade in time local information.
Work sub-step：The logical block that need to handle of stream process working node is obtained from sub-step is guarded, in operation logic block
Processing code, and the ordinal relation run according to logical block establishes the connection of logical block and other operational modules, completion electric energy
The real-time single anomaly analysis of metering device, generates single abnormity diagnosis result.
The abnormal relevant diagnosis step, including：
Association matching sub-step：Single abnormity diagnosis result is obtained from stream process job step, and according to abnormal from metering
Abnormal relevant diagnosis model is obtained in diagnosis rule base and carries out rule match, matching statistics obtain the theme that incidence relation be present and
The degree of association between theme, and then draw the relevant diagnosis result of electric power meter；
Association analysis sub-step：The degree of association between the theme and theme that incidence relation be present is obtained from association matching sub-step,
Abnormal relevant diagnosis model is obtained from metering abnormity diagnosis rule base, multi-threaded abnormal pass is realized by association analysis algorithm
Connection analysis, according to abnormal association analysis result, judge electric power meter state in which, and then take corresponding reply to arrange
Apply.
The metering abnormity diagnosis rule base, for being extracted in the centrally stored actual maintenance work from electric power meter
Electric power meter abnormity diagnosis rule, include carry out the single anomaly analysis of electric energy measuring equipment single abnormity diagnosis rule
Then, and on single abnormity diagnosis rule-based approach the abnormal relevant diagnosis model two of electric energy measuring equipment exception relevant diagnosis is carried out
Part.
Diagnostic method, threshold levels, user oriented, required data source are included in the single abnormity diagnosis rule and is divided
Analyse the information such as frequency；The information such as relating subject, the degree of association and live O＆M suggestion are included in the abnormal relevant diagnosis model.
The regular and abnormal relevant diagnosis model of single abnormity diagnosis is expressed as production rule by regular description language,
The production rule of generation is expressed as If (condition) Then (behavior) structure.Stored in the form of production rule,
Store in metering abnormity diagnosis rule base.
The metering anomaly analysis database, storage measure anomaly analysis data acquisition step from power information acquisition system
Each item data and analysis result information of middle extraction, analyze data basis is provided to stream process job step.
The stream process state-storage module, including at least 3 memory nodes, for storing stream process rate-determining steps and stream
The information of job step is handled, stream process rate-determining steps and stream process job step interact from stream process state-storage module to be believed
Breath, distributed coordination is realized, ensure the uniformity of stream process cluster.
The step (1) configures the extraction scope of data to be extracted and extracts strategy.
Data needed for step (1) anomaly analysis include the file data and real time business number of electric power meter
According to.
The each single abnormity diagnosis logic chain of the step (2) is included at a data-in logic block and several data
Manage logical block；
The step (2)：Each single abnormity diagnosis theme generates a logic chain；Include processing code in logical block
With the ordinal relation of logical block operation.A variety of single abnormity diagnosis logic chains include event repeat report diagnostic logic chain,
Electric energy meter stops walking super appearance diagnostic logic chain of diagnostic logic chain, electric sampling open-phase diagnostic logic chain, requirement etc..
The step (3) is that processing task is respectively configured in data-in logic block and data processing logical block.
The step (3)：Measure the distribution of single abnormity diagnosis task and monitor stream process job step, it is single to measuring
Abnormality diagnostic distributed stream processing procedure carries out unified management and control；
The step (3) establishes the heartbeat catalogue of single abnormity diagnosis logic chain, preserves the single abnormity diagnosis logic chain
In all processing tasks heartbeat message, by single abnormity diagnosis logic chain, data-in logic block and several data processings
Logical block and mapping relations, the heartbeat catalogue of processing task are stored into stream process state-storage module.
Each stream process working node of the step (4) guards module and several operational modules including one.
The step (1) measures anomaly analysis data acquisition step, according to configuration, periodically gathers system from power information
Single abnormity diagnosis business datum, including the data such as event, gathered data, instruction message and metering device archives are extracted in system,
Then conversion process is carried out to the single abnormity diagnosis business datum of extraction, ensures the accuracy and uniformity of data, finally will
Analyze data after processing is loaded into metering anomaly analysis database.
According to single abnormity diagnosis rule, processing logic and data flow relation therein are analyzed, it is reasonable by process is analyzed
Cutting completely handle node for multiple logics, be to be defined per rule-like at a data-in logic block and multiple data
Logical block is managed, the ordinal relation run in each logical block comprising processing code and logical block is complete single so as to generate
Abnormity diagnosis logic chain.Wherein, data-in logic block include digital independent and encapsulation logic, for from metering anomaly analysis number
It is packaged into the form of a data block with metering device by date according to data needed for reading in storehouse and data；Data processing is patrolled
Collect block and include processing logic, it is defeated for handling logical block according to the program processing data input logic block and preamble data of configuration
The data block entered, to subsequent data processing logical block output intermediate result or output final result.
Single abnormity diagnosis logic chain is submitted into stream process rate-determining steps, stream process rate-determining steps receive and to single different
After normal diagnostic logic chain carries out necessary verification, the data-in logic block and data processing logical block that are included to it divide
Analysis, one or more processing tasks, generation logical block and the mapping relations for handling task are respectively configured for each logical block, and build
The heartbeat catalogue of single abnormity diagnosis logic chain is found, will be single for preserving the heartbeat message of all processing tasks in the logic chain
The storages such as mapping relations, the heartbeat catalogue of one abnormity diagnosis logic chain, logical block with handling task store mould to stream process state
In block.
A kind of online abnormity diagnostic system of electric power meter based on stream process, including：
Measure anomaly analysis data acquisition module：According to the single abnormity diagnosis obtained from metering abnormity diagnosis rule base
Rule configures to data to be extracted in power information acquisition system, is obtained from the database of power information acquisition system
Data needed for anomaly analysis, deposit metering anomaly analysis database；
Logic chain generation module：A variety of single abnormity diagnosis logic chains are generated according to single abnormity diagnosis rule；
Stream process control module：The single abnormity diagnosis logic chain that logic chain generation module is submitted is received, to single exception
Diagnostic logic chain does serializing processing, the logical block according to caused by being handled serializing, is at single abnormity diagnosis logic chain distribution
Reason task, and by result storage into stream process state-storage module；Always according to being updated in stream process state-storage module
Each stream process working node load state information, it is balanced to stream process working node distribute processing task；
Stream process operational module：Every processing task in single abnormity diagnosis logic chain is run, in real time by each stream
The load state information for managing working node is stored into stream process state-storage module, is completed to the single different of electric power meter
Often diagnosis, realizes the parallel processing of multiple stream process working nodes；
Abnormal relevant diagnosis module：On the basis of single abnormity diagnosis result, further relevant diagnosis is carried out, is generated
Abnormity diagnosis result and O＆M suggestion are measured, and is sent to power information acquisition system.
The metering anomaly analysis data acquisition module, including：
Information extraction submodule：Anomaly analysis basic data is extracted from power information acquisition system；
Data conversion submodule：Obtain anomaly analysis basic data, handle due to data redundancy caused by communicative reasons and
Missing, redundant data is removed, benefit calls missing data together, and according to single abnormity diagnosis business demand is measured that the metering of extraction is abnormal
Analyze data merges, converts and decoupled operation, forms the analyze data needed for anomaly analysis；
Data load submodule：Analyze data needed for anomaly analysis is loaded into metering anomaly analysis database.
Anomaly analysis basic data includes：The metering device phases such as electric energy meter game clock lid event, SOT state of termination quantitative change position record
The data that the electric power meter such as the event information of pass, active energy indicating value, power curve collects, take the collection systems such as control message
Unite metering device archives such as the control instruction message issued to electric power meter, user's contract capacity, maximum demand etc..
The stream process operational module, including：
Guard submodule：Obtained from stream process state-storage module all logical blocks and processing duty mapping relation,
The logical block that work distribution chart and stream process working node need to be handled, and it is distributed to work submodule；Processing is monitored simultaneously to appoint
The heartbeat message of business and the load condition situation of stream process working node, are stored in stream process state-storage module；Guard son
Module inquires about in stream process state-storage module the information for whether having renewal by the way of poll, and upgrade in time local information.
Work submodule：The logical block that need to handle of stream process working node is obtained from submodule is guarded, in operation logic block
Processing code, and the ordinal relation run according to the logical block that is included in logical block establishes logical block and other operational modules
Connection, completes the real-time single anomaly analysis of electric power meter, generates single abnormity diagnosis result.
The abnormal relevant diagnosis module, including：
Associate matched sub-block：Single abnormity diagnosis result is obtained from stream process operational module, and according to abnormal from metering
Abnormal relevant diagnosis model is obtained in diagnosis rule base and carries out rule match, matching statistics obtain the theme that incidence relation be present and
The degree of association between theme, and then draw the relevant diagnosis result of electric power meter；
Association analysis submodule：The degree of association between the theme and theme that incidence relation be present is obtained from association matched sub-block,
Abnormal relevant diagnosis model is obtained from metering abnormity diagnosis rule base, multi-threaded abnormal pass is realized by association analysis algorithm
Connection analysis, according to abnormal association analysis result, judge electric power meter state in which, and then take corresponding reply to arrange
Apply.
The metering abnormity diagnosis rule base, for being extracted in the centrally stored actual maintenance work from electric power meter
Electric power meter abnormity diagnosis rule, include carry out the single anomaly analysis of electric energy measuring equipment single abnormity diagnosis rule
Then, and on single abnormity diagnosis rule-based approach the abnormal relevant diagnosis model two of electric energy measuring equipment exception relevant diagnosis is carried out
Part.
Diagnostic method, threshold levels, user oriented, required data source are included in the single abnormity diagnosis rule and is divided
Analyse the information such as frequency；The information such as relating subject, the degree of association and live O＆M suggestion are included in the abnormal relevant diagnosis model.
The regular and abnormal relevant diagnosis model of single abnormity diagnosis is expressed as production rule by regular description language,
The production rule of generation is expressed as If (condition) Then (behavior) structure.Stored in the form of production rule,
Store in metering abnormity diagnosis rule base.
The metering anomaly analysis database, storage measure anomaly analysis data acquisition module from power information acquisition system
Each item data and analysis result information of middle extraction, analyze data basis is provided to stream process operational module.
The stream process state-storage module, including at least 3 memory nodes, for storing stream process control module and stream
The information of operational module is handled, stream process control module and stream process operational module interact from stream process state-storage module to be believed
Breath, distributed coordination is realized, ensure the uniformity of stream process cluster.
The metering anomaly analysis data acquisition module configures the extraction scope of data to be extracted and extracts strategy.
Data needed for the metering anomaly analysis data acquisition module anomaly analysis include the archives of electric power meter
Data and real time traffic data.
Each single abnormity diagnosis logic chain includes a data-in logic block and some to the logic chain generation module
Individual data processing logical block；
Each single abnormity diagnosis theme generates a logic chain to the logic chain generation module；Include place in logical block
Manage the ordinal relation of code and logical block operation.A variety of single abnormity diagnosis logic chains include event and repeat to report diagnosis to patrol
Collect chain, electric energy meter stops walking super appearance diagnostic logic chain of diagnostic logic chain, electric sampling open-phase diagnostic logic chain, requirement etc..
The stream process control module is that processing task is respectively configured in data-in logic block and data processing logical block.
The stream process control module measures the distribution of single abnormity diagnosis task and monitors stream process operational module, to meter
Measure single abnormality diagnostic distributed stream processing procedure and carry out unified management and control；
The stream process control module establishes the heartbeat catalogue of single abnormity diagnosis logic chain, preserves the single abnormity diagnosis
The heartbeat message of all processing tasks in logic chain, by single abnormity diagnosis logic chain, data-in logic block and some numbers
Stored according to processing logical block and mapping relations, the heartbeat catalogue of processing task into stream process state-storage module.
Each stream process working node of the stream process operational module guards module and several Working moulds including one
Block.
The heartbeat guarded module and monitor the processing task run in its operational module in real time in each stream process working node
Information, including heart time, Runtime and statistical information etc., task run situation is handled for monitoring, is obtained simultaneously
The load state information of each stream process working node, in the heartbeat catalogue for storing stream process state-storage module.
Stream process control module obtains the heartbeat message and stream process of each processing task from stream process state-storage module
The load state information of working node, it is balanced accordingly to distribute processing task to stream process working node, form reflection processing and appoint
Business and the work distribution chart of working node corresponding relation, and the work distribution chart of generation is write into stream process state-storage module,
Work distribution chart is updated if having new processing task or processing task time-out.
In each stream process working node guard module obtained from stream process state-storage module all logical blocks and
Duty mapping relation, work distribution chart are handled, the processing of each operational module in this node is assigned in statistics task allocation table
Task, according to logical block and processing duty mapping relation, then corresponding logical block is obtained from stream process state-storage module, and
It is distributed to operational module.Guard module and the letter for whether having renewal is inquired about in stream process state-storage module by the way of poll
Breath, upgrade in time local information.
Operational module receive guard module order start after, obtain the logical block that need to handle, operation from module is guarded
Processing code in logical block, and the ordinal relation run according to logical block establishes the connection with other operational modules, wherein counting
Analyze data is constantly obtained from metering anomaly analysis database according to input logic block, data process method block is according to code process stream
The data entered, export result backward, are finally completed real-time single abnormity diagnosis, generate single abnormity diagnosis result.
The beneficial effects of the invention are as follows：
(1) present invention is applied to electric power meter monitoring, and stream process thought is incorporated into the real-time of electric power meter
Online abnormity diagnosis, the real-time of metering on-line monitoring is improved, reduce human cost；
(2) present invention separates electric power meter abnormity diagnosis rule with diagnostic device system code, and metering can be achieved
The flexible formulation and change of anomaly analysis, diagnostic rule, lifting system flexibility, scalability and maintainability.
(3) stream process pattern has great advantage in the process field of Oriented Dynamical Data, and distributed stream processing has
The features such as retractility, real-time, it is a kind of good tool for the business processing demand that this real-time of reply is high, logicality is strong.
Therefore, the present invention is analyzed its business datum on the basis of power information acquisition system, is handled and thought using distributed stream
Think, a kind of online abnormity diagnostic system of electric power meter based on stream process and method are designed, to support metering device to monitor
Business.
Brief description of the drawings
Fig. 1 is a kind of online abnormity diagnostic system of electric power meter based on stream process proposed by the present invention.
Embodiment
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
Fig. 1, it is the online abnormity diagnostic system of a kind of electric power meter based on stream process realized based on the present invention, should
System includes metering abnormity diagnosis rule base 1, metering anomaly analysis data acquisition module 2, measures anomaly analysis database 3, patrols
Chain generation module 4, stream process control module 5, stream process state-storage module 6, stream process operational module 7, exception is collected to associate and examine
Disconnected module 8；The metering anomaly analysis data acquisition module 2 includes information extraction module 201, data conversion module 202, data
Load-on module 203；The stream process state-storage module 6 will at least include 3 nodes stored above；The stream process Working mould
Block 7 includes n stream process working node, and each node includes guarding module 701 and multiple operational modules 702；The abnormal pass
Joining diagnostic module 8 includes association matching module 801 and association analysis module 802.
Measure abnormity diagnosis rule base 1, for it is centrally stored by domain expert from the actual O＆M experience of electric power meter
In the electric power meter abnormity diagnosis knowledge that extracts, include carrying out the single exception of the single anomaly analysis of electric energy measuring equipment
Diagnostic knowledge, and on the basis of the former carry out electric energy measuring equipment exception relevant diagnosis abnormal relevant diagnosis knowledge two parts,
The letters such as diagnostic method, threshold levels, user oriented, required data source and analysis frequency are included in single abnormity diagnosis knowledge
Cease, the information such as relating subject, the degree of association and live O＆M suggestion are included in abnormal relevant diagnosis knowledge.And language is described by rule
Speech is expressed as a series of production rules, and the production rule of generation is expressed as If (condition) Then (behavior) structure.
Anomaly analysis data acquisition module 2 is measured, for being interacted by interface with power information acquisition system, according to single
Abnormity diagnosis rule configuration data extracts scope and strategy, and required electric energy meter is obtained from power information acquisition system database
The file data and real time traffic data of device are measured, and these business datums are converted into the analyze data needed for anomaly analysis,
Deposit metering anomaly analysis database 3.
The metering anomaly analysis data acquisition module 2 also includes with lower module：Information extraction module 201, for based on
The Extracting Information of configuration, extracted by various ways such as web Service interface, middlewares from power information acquisition system
Analyze data basis, including the related event information of metering device such as electric energy meter game clock lid event, SOT state of termination quantitative change position record,
The data that the electric power meters such as active energy indicating value, power curve collect, take the acquisition systems such as control message to electric energy metrical
Metering device archives such as the control instruction message that device issues, user's contract capacity, maximum demand etc..
Data conversion module 202, for from information extraction module 201 obtain metering anomaly analysis initial data, handle by
Data redundancy and missing caused by communicative reasons, redundant data is removed, benefit calls missing data together, and is examined according to single exception is measured
The metering anomaly analysis data of extraction conversion operation, the formation anomaly analysis such as are merged, converted and decouples by disconnected business demand
Required analyze data.
Data load-on module 203, the data for data conversion module 202 to be handled to completion are loaded into metering anomaly analysis
In database 3.
Anomaly analysis database 3 is measured, is for storing metering anomaly analysis data acquisition module 2 and being gathered from power information
Each item data and analysis result information extracted in system, analyze data basis is provided to stream process operational module 7, using relationship type
Database is stored.
Logic chain generation module 4, for generating a variety of single abnormity diagnosis logic chains according to single abnormity diagnosis rule, often
Individual single abnormity diagnosis theme generates a logic chain, as event repeats to report the uneven diagnosis of diagnostic logic chain, electric energy meter indicating value
Logic chain, electric sampling open-phase diagnostic logic chain, requirement are super to hold diagnostic logic chain etc..Each logic chain may include that a data input is patrolled
Block and multiple data process method blocks are collected, the ordinal relation of processing code and logical block operation is included in logical block.
Stream process control module 5, for measuring the distribution of single abnormity diagnosis task and the prison of stream process operational module 7
Listen, unified management and control is carried out to measuring single abnormality diagnostic distributed stream processing procedure.Stream process control module receives logic chain
The single abnormity diagnosis logic chain that generation module is submitted, is serialized to logic chain, the data-in logic block that includes for it and
One or more processing tasks are respectively configured in data process method block, and establish the heartbeat catalogue of single abnormity diagnosis logic chain,
The heartbeat message of all processing tasks in the logic chain is preserved, by single abnormity diagnosis logic chain, logical block and processing task
Mapping relations, heartbeat catalogue etc. are stored into stream process state-storage module 6.Obtained from stream process state-storage module 6 each
The load state information of each stream process working node in the heartbeat message of processing task, and stream process operational module 7, in this base
It is balanced on plinth to distribute processing task to stream process working node, and the work distribution chart of generation is write into the storage of stream process state
Module 6.
Stream process state-storage module 6, ensure the high availability of this module including at least 3 memory nodes, for storing
The status information and configuration information of stream process control module 5 and stream process operational module 7, as logical block, logical block and processing are appointed
The mapping relations of business, work distribution chart, heartbeat message, the state etc. of stream process working node, stream process control module 5 and Liu Chu
Reason operational module 7 communicates with this module 6 obtains information, realizes distributed coordination, ensures the uniformity of stream process cluster.
Stream process operational module 7, for running every processing task in single abnormity diagnosis logic chain to complete to electricity
The single abnormity diagnosis of energy metering device, the parallel processing of multiple stream process working nodes, each stream process work section can be achieved
Point includes one and guards module 701 and multiple operational modules 702.
The stream process operational module 7 also includes with lower module：
Module 701 is guarded, for managing the operational module on this stream process working node, from stream process state-storage module
All logical blocks are obtained in 6 and handle duty mapping relation, the logical block that work distribution chart and this node need to be handled, and point
Issue operational module 702.The heartbeat message of processing task and the load condition situation of this node are monitored simultaneously, and stream process is arrived in storage
In state-storage module 6.Guard module 701 inquires about in stream process state-storage module 6 whether have renewal by the way of poll
Information, upgrade in time local information.
Operational module 702, for obtaining the logical block that need to handle from guarding module 701, the processing generation in operation logic block
Code, and run according to logical block ordinal relation (logical block can be understood as a code module, during numerous logical blocks operations,
There is sequencing, described herein is exactly all logical blocks to be connected according to the ordinal relation of logical block, is formed
One complete handling process) establish with the connections of other operational modules, complete the real-time single exception point of electric power meter
Analysis, generates single abnormity diagnosis result.
Abnormal relevant diagnosis module 8, examined on the basis of single abnormity diagnosis result, carrying out further association
Disconnected, generation measures abnormity diagnosis result and O＆M suggestion and is sent to power information acquisition system.
The abnormal relevant diagnosis module 8 also includes with lower module：
Matching module 801 is associated, for obtaining single abnormity diagnosis result from stream process operational module 7, counts one day
The single abnormity diagnosis result of one electric power meter, and according to the abnormal association obtained from metering abnormity diagnosis rule base 1
Diagnostic model carry out rule match, matching statistics which theme can be associated and theme between the degree of association, draw the day electric energy meter
The relevant diagnosis result of device is measured, doubtful stealing, equipment fault, and corresponding O＆M suggestion such as occurs.
Association analysis module 802, for obtaining relating subject and the degree of association after collecting from association matching module 801, from
Abnormal relevant diagnosis model is obtained in metering abnormity diagnosis rule base 1, multi-threaded abnormal pass is realized by association analysis algorithm
Connection analysis, be according to the result judgement electric power meter do not occur it is abnormal, need to give more sustained attention, need auxiliary judgement and it is abnormal really
Which kind of state in four kinds of states is examined, and takes corresponding counter-measure, wherein for needing auxiliary judgement and exception to make a definite diagnosis two kinds
The electric power meter of state, by the relevant diagnosis result and fortune of the electric power meter obtained in association analysis module 801
Dimension suggestion is packaged, and forms metering abnormity diagnosis result and the O＆M suggestion of this day all electric power meter, will diagnosis knot
Fruit and O＆M suggestion are sent to power information acquisition system.
So that electric energy meter stops walking this abnormity diagnosis theme as an example, the course of work of the present invention is described below：
Step A：Domain expert is that electric energy meter stops walking this single abnormal formulation diagnostic rule, and its user oriented is useful
Family, data source is positive/negative to active energy indicating value and three-phase current day curve to freeze day, and analysis frequency is one day, diagnostic method
For：Day, the positive/negative difference to active total electric energy indicating value was equal to 0 in electric energy meter 2 days, and three-phase current I is monitored in the periodA,
IB,ICArbitrarily mutually there are 3 points to be more than 0.1A.Then electric energy meter, which stops walking diagnostic rule, is expressed as：
By in the above-mentioned single abnormity diagnosis rule deposit metering abnormity diagnosis rule base 1 taken out.
And when carrying out multi-threaded abnormal association analysis, the abnormal relevant diagnosis model of use include relating subject model,
The parts such as theme weights model, association analysis algorithm, result judgement section.
The relating subject model definition for stopping walking this theme correlation such as electric energy meter is as follows：
It is represented by：
All exception topic weights models of definable are as follows：
It is multi-threaded that the progress of association analysis algorithm is defined on the basis of relating subject model and exception topic weights model
Abnormal association analysis, following algorithm can be used：
Wherein n is simultaneous exception topic quantity, PiFor the weights of i-th of theme, RjkFor j-th of theme and kth
The degree of association of individual theme.
Result judgement section is rule of thumb set, can be defined as follows：
The above-mentioned relating subject model taken out, theme weights model, association analysis algorithm, result judgement section etc. are made
It is stored in for abnormal relevant diagnosis model in metering abnormity diagnosis rule base 1.
Step B：According to the data source of the step A all single abnormity diagnosis rules generated and frequency requirement, configuration metering
Information extraction module 201 in anomaly analysis data acquisition module 2, periodically from power information acquisition system needed for extraction
Single abnormity diagnosis business datum.Stop walking to analyse whether to exist electric energy meter, configure and gathered by middleware from power information
Obtained in system freeze all days that need to monitor electric power meter it is positive/negative to active energy indicating value and three-phase current day curve number
According to the cycle is measured in anomaly analysis database 3 once a day, to store.
Step C：Stop walking diagnostic rule according to the step A electric energy meters generated, formulate electric energy meter and stop walking diagnostic logic chain, by it
Cutting is 1 data-in logic block and 2 data processing logical blocks：
What data-in logic block included realizes that logic is constantly to read to freeze day from metering anomaly analysis database 3
It is positive/negative to freeze day before its same day and 2 days to active energy indicating value and three-phase current day curve, and according to by electric power meter
It is positive/negative to be encapsulated as data block to the three-phase current day curve number of active energy indicating value, the same day and proxima luce (prox. luc), it is sent to data processing
Logical block 1；
What data process method block 1 included realizes that logic to receive the data block that data-in logic block is sent, judges it
In three-phase current at least whether 3 points are more than 0.1A in totally 576 collection points, by the electric power meter for the condition that meets
Before the same day and 2 days freeze day it is positive/negative be encapsulated as new data block to active energy indicating value, be sent to data process method block 2；
What data process method block 2 included realizes that logic to receive the data block that data process method block 1 is sent, calculates this
This day electric energy indicating value of one metering device and before 2 days electric energy indicating value difference, judge that electric energy meter occurs in this metering device if 0
Stop walking exception.
On this basis, write corresponding code wrap and enter data-in logic block and data processing logical block, form electricity
Energy table stops walking diagnostic logic chain.
Step D：Electric energy meter is stopped walking diagnostic logic chain and submits to stream process control module 5, stream process control module 5 receives
And electric energy meter is stopped to walk the necessary verification of diagnostic logic chain progress, whether such as logic chain is existing, can use.
Verify it is errorless after, the data-in logic block and data processing logical block that are included to it are analyzed, and are patrolled for this 3
Collect block and processing task is respectively configured, as shown in the table, generation logical block and the mapping relations for handling task.The configuration of processing task
Not only consider the complexity of the processing task of all metering anomaly analysis logic chains, it is also contemplated that worked in stream process working node
The number of module 702.
| Electric energy meter stops walking diagnostic logic block | Electric energy meter stops walking diagnostic process task |
| Data-in logic block | Task1, Task2, Task3 |
| Data process method block 1 | Task4, Task5, Task6, Task7 |
| Data process method block 2 | Task8, Task9 |
Meanwhile stop walking diagnostic logic chain for electric energy meter and establish heartbeat catalogue, appoint for preserving all processing in the logic chain
The heartbeat message of business, by storages such as mapping relations, the heartbeat catalogue of 3 logical block contents, logical block with handling task at stream
Manage in state-storage module 6.
Step E：Module 701 of guarding in each stream process working node monitors the place run in its operational module 702 in real time
The heartbeat message of reason task, including heart time, Runtime and statistical information etc., while obtain each stream process work section
The load state information of point, in the heartbeat catalogue for storing stream process state-storage module 6.
Step F：Stream process control module 5 obtains the heartbeat message of each processing task from stream process state-storage module 6
And the load state information of 7 each node of stream process operational module, it is balanced accordingly to stop to stream process working node distribution electric energy meter
Diagnostic process task is walked, forms reflection processing task and the work distribution chart of the corresponding relation of operational module 702, it is as shown in the table,
And the work distribution chart of generation is write into stream process state-storage module 6, if having new processing task or processing task time-out
Then update work distribution chart.
| Electric energy meter stops walking diagnostic process task | Operational module |
| Task1 | The operational module 3 of stream process working node 1 |
| Task2 | The operational module 1 of stream process working node 3 |
| Task3 | The operational module 4 of stream process working node 2 |
| …… | …… |
Step G：Module 701 of guarding in each stream process working node obtains electric energy from stream process state-storage module 6
Table stops walking the logical block of diagnosis and processing duty mapping relation, work distribution chart, and this node is assigned in statistics task allocation table
In each operational module 702 processing task, store mould according to logical block and processing duty mapping relation, then from stream process state
Corresponding logical block is obtained in block 6, and is distributed to operational module 702.Guard module 701 and stream process is inquired about by the way of poll
Whether the information of renewal is had in state-storage module 6, and upgrade in time local information.
Step H：Operational module 702 receive guard module 701 order start after, from guard module 701 obtain need from
The logical block of reason, the processing code in operation logic block, and the ordinal relation run according to logical block is established and other Working moulds
The connection of block.
Wherein, the operational module of processing data input logic block constantly reads from metering anomaly analysis database and freezed day
It is positive/negative to freeze day before its same day and 2 days to active energy indicating value and three-phase current day curve, and according to by electric power meter
The positive/negative electricity that the electric power meter same day is encapsulated as to the three-phase current day curve number of active energy indicating value, the same day and proxima luce (prox. luc)
Energy table stops walking diagnostic data block, and the ordinal relation run according to logical block finds the Working mould of processing data processing logical block 1
Block, establish data connection；
The operational module of processing data processing logical block 1 and the operational module of processing data input logic block are established and connected
Afterwards, packaged data block is obtained, judges whether at least 3 points are more than 0.1A in 576 collection points of three-phase current therein,
New data is encapsulated as to active energy indicating value by freezing day before the same day of the electric power meter for the condition that meets and 2 days is positive/negative
Block, the operational module of processing data processing logical block 2 is found, establish data connection；
What the operational module of the operational module reception processing data process method block 1 of processing data processing logical block 2 was sent
Include the data block of electric energy indicating value, calculate this day electric energy indicating value of this metering device and before 2 days electric energy indicating value difference, if 0
Then judge that this metering device electric energy meter occurs and stops walking exception.
Step I：Association matching module 801 obtains caused single abnormity diagnosis result, statistics from stream process operational module 7
All single exceptions that the electric power meter same day occurs, it is assumed that while electric energy meter cover opening exception occur and stop walking with electric energy meter
It is abnormal, then according to abnormal relevant diagnosis model, judge that the probability that doubtful stealing occurs for the electric energy meter is 1.0, live O＆M is built
Discuss to check table cover and end button cover, reading power meters indicating value.
Step J：Association analysis module 802 knows that electricity occurs in the same day electric power meter from association matching module 801
Energy table is uncapped to stop to walk 2 kinds of exceptions with electric energy meter, and doubtful stealing may occur for diagnosis, and the electricity is calculated by association analysis algorithm
The E that doubtful stealing can occur the metering device same day is
Being according to the result judgement electric power meter needs auxiliary judgement state, need to auxiliary judgements such as curve datas,
The abnormal of confirmation is alerted to power information acquisition system, and by the pass of the electric power meter obtained in association analysis module
Connection diagnostic result and O＆M suggestion are packaged, and form the metering abnormity diagnosis result and O＆M of this day all electric power meters
It is recommended that it is sent to power information acquisition system.
Although above-mentioned the embodiment of the present invention is described with reference to accompanying drawing, model not is protected to the present invention
The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need to pay various modifications or deformation that creative work can make still within protection scope of the present invention.
Claims (2)
1. a kind of online abnormality diagnostic method of electric power meter based on stream process, it is characterized in that, comprise the following steps：
Step (1)：Measure anomaly analysis data acquisition step：According to the single exception obtained from metering abnormity diagnosis rule base
Diagnostic rule configures to data to be extracted in power information acquisition system, from the database of power information acquisition system
Obtain the data needed for anomaly analysis, deposit metering anomaly analysis database；
The metering abnormity diagnosis rule base, for the electricity extracted in the centrally stored actual maintenance work from electric power meter
Energy metering device abnormity diagnosis rule, include carrying out the single abnormity diagnosis rule of the single anomaly analysis of electric energy measuring equipment, and
Abnormal relevant diagnosis model two parts of electric energy measuring equipment exception relevant diagnosis are carried out on single abnormity diagnosis rule-based approach；
The metering anomaly analysis database, storage metering anomaly analysis data acquisition step are taken out from power information acquisition system
Each item data and analysis result information taken, analyze data basis is provided to stream process job step；
The metering anomaly analysis data acquisition step, including：
Information extraction sub-step：Anomaly analysis basic data is extracted from power information acquisition system；
Data conversion sub-step：Anomaly analysis basic data is obtained, is handled due to data redundancy caused by communicative reasons and missing,
Redundant data is removed, benefit calls missing data together, and according to measuring single abnormity diagnosis business demand by the metering anomaly analysis of extraction
Data merge, convert and decoupled operation, form the analyze data needed for anomaly analysis；
Data load sub-step：Analyze data needed for anomaly analysis is loaded into metering anomaly analysis database；
Step (2)：Logic chain generation step：A variety of single abnormity diagnosis logic chains are generated according to single abnormity diagnosis rule；
Diagnostic method, threshold levels, user oriented, required data source and analysis frequency are included in the single abnormity diagnosis rule
Degree；Relating subject, the degree of association and live O＆M suggestion are included in the abnormal relevant diagnosis model；
The regular and abnormal relevant diagnosis model of single abnormity diagnosis is expressed as production rule by regular description language, generation
Production rule be expressed as the structures of If condition Then behaviors；Stored in the form of production rule, storage to meter
Measure in abnormity diagnosis rule base；
Each single abnormity diagnosis logic chain includes a data-in logic block and several data process method blocks；
Each single abnormity diagnosis theme generates a logic chain；Include in logical block processing code and logical block operation it is suitable
Order relation；A variety of single abnormity diagnosis logic chains include event and repeat to report diagnostic logic chain, electric energy meter to stop walking diagnosis and patrol
Collect the super appearance diagnostic logic chain of chain, electric sampling open-phase diagnostic logic chain, requirement；
According to single abnormity diagnosis rule, processing logic and data flow relation therein are analyzed, analysis process is reasonably cut
It is divided into multiple logics and completely handles node, is that every rule-like defines a data-in logic block and multiple data processings are patrolled
Collect block, the ordinal relation run in each logical block comprising processing code and logical block, so as to generate complete single exception
Diagnostic logic chain；Wherein, data-in logic block include digital independent and encapsulation logic, for from metering anomaly analysis database
Data needed for middle reading and the form for data being packaged into metering device by date a data block；Data process method block
Comprising processing logic, for program processing data input logic block and preamble data the processing logical block input according to configuration
Data block, to subsequent data processing logical block output intermediate result or output final result；
Step (3)：Stream process rate-determining steps：The single abnormity diagnosis logic chain that logic chain generation step is submitted is received, to single
Abnormity diagnosis logic chain does serializing processing, the logical block according to caused by being handled serializing, for single abnormity diagnosis logic chain point
With processing task, and by result storage into stream process state-storage module；Always according in stream process state-storage module
The load state information of each stream process working node of renewal, it is balanced to distribute processing task to stream process working node；
Step (4)：Stream process job step：Every processing task in single abnormity diagnosis logic chain is run, in real time will be each
The load state information of stream process working node is stored into stream process state-storage module, completes the list to electric power meter
One abnormity diagnosis, realize the parallel processing of multiple stream process working nodes；
The stream process state-storage module, including at least 3 memory nodes, for storing stream process rate-determining steps and stream process
The information of job step, stream process rate-determining steps and stream process job step from stream process state-storage module interactive information,
Distributed coordination is realized, ensures the uniformity of stream process cluster；
The stream process job step, including：
Guard sub-step：All logical blocks and processing duty mapping relation, task are obtained from stream process state-storage module
The logical block that allocation table and stream process working node need to be handled, and it is distributed to work sub-step；Monitor processing task simultaneously
The load condition situation of heartbeat message and stream process working node, is stored in stream process state-storage module；Guard sub-step
Whether have the information of renewal, upgrade in time local information if being inquired about by the way of poll in stream process state-storage module；
Work sub-step：The logical block that need to handle of stream process working node is obtained from sub-step is guarded, the place in operation logic block
Code is managed, and the ordinal relation run according to logical block establishes the connection of logical block and other operational modules, completes electric energy metrical
The real-time single anomaly analysis of device, generates single abnormity diagnosis result；
Step (5)：Abnormal relevant diagnosis step：On the basis of single abnormity diagnosis result, further relevant diagnosis is carried out,
Generation metering abnormity diagnosis result and O＆M suggestion, and it is sent to power information acquisition system；
The abnormal relevant diagnosis step, including：
Association matching sub-step：Single abnormity diagnosis result is obtained from stream process job step, and according to from metering abnormity diagnosis
Abnormal relevant diagnosis model is obtained in rule base and carries out rule match, matching statistics obtains the theme and theme that incidence relation be present
Between the degree of association, and then draw the relevant diagnosis result of electric power meter；
Association analysis sub-step：The degree of association between the theme and theme that incidence relation be present is obtained from association matching sub-step, from meter
Abnormal relevant diagnosis model is obtained in amount abnormity diagnosis rule base, multi-threaded abnormal association point is realized by association analysis algorithm
Analysis, according to abnormal association analysis result, judge electric power meter state in which, and then take corresponding counter-measure.
2. a kind of online abnormity diagnostic system of electric power meter based on stream process, it is characterized in that, including：
Measure anomaly analysis data acquisition module：According to the single abnormity diagnosis rule obtained from metering abnormity diagnosis rule base
Data to be extracted in power information acquisition system are configured, obtained from the database of power information acquisition system abnormal
Data needed for analysis, deposit metering anomaly analysis database；
The metering abnormity diagnosis rule base, for the electricity extracted in the centrally stored actual maintenance work from electric power meter
Energy metering device abnormity diagnosis rule, include carrying out the single abnormity diagnosis rule of the single anomaly analysis of electric energy measuring equipment, and
Abnormal relevant diagnosis model two parts of electric energy measuring equipment exception relevant diagnosis are carried out on single abnormity diagnosis rule-based approach；
The metering anomaly analysis database, storage metering anomaly analysis data acquisition module are taken out from power information acquisition system
Each item data and analysis result information taken, analyze data basis is provided to stream process operational module；
The metering anomaly analysis data acquisition module, including：
Information extraction submodule：Anomaly analysis basic data is extracted from power information acquisition system；
Data conversion submodule：Anomaly analysis basic data is obtained, is handled due to data redundancy caused by communicative reasons and missing,
Redundant data is removed, benefit calls missing data together, and according to measuring single abnormity diagnosis business demand by the metering anomaly analysis of extraction
Data merge, convert and decoupled operation, form the analyze data needed for anomaly analysis；
Data load submodule：Analyze data needed for anomaly analysis is loaded into metering anomaly analysis database；
Logic chain generation module：A variety of single abnormity diagnosis logic chains are generated according to single abnormity diagnosis rule；
Diagnostic method, threshold levels, user oriented, required data source and analysis frequency are included in the single abnormity diagnosis rule
Degree；Relating subject, the degree of association and live O＆M suggestion are included in the abnormal relevant diagnosis model；
The regular and abnormal relevant diagnosis model of single abnormity diagnosis is expressed as production rule by regular description language, generation
Production rule be expressed as the structures of If condition Then behaviors；Stored in the form of production rule, storage to meter
Measure in abnormity diagnosis rule base；
Each single abnormity diagnosis logic chain includes a data-in logic block and several data process method blocks；
Each single abnormity diagnosis theme generates a logic chain；Include in logical block processing code and logical block operation it is suitable
Order relation；A variety of single abnormity diagnosis logic chains include event and repeat to report diagnostic logic chain, electric energy meter to stop walking diagnosis and patrol
Collect the super appearance diagnostic logic chain of chain, electric sampling open-phase diagnostic logic chain, requirement；
According to single abnormity diagnosis rule, processing logic and data flow relation therein are analyzed, analysis process is reasonably cut
It is divided into multiple logics and completely handles node, is that every rule-like defines a data-in logic block and multiple data processings are patrolled
Collect block, the ordinal relation run in each logical block comprising processing code and logical block, so as to generate complete single exception
Diagnostic logic chain；Wherein, data-in logic block include digital independent and encapsulation logic, for from metering anomaly analysis database
Data needed for middle reading and the form for data being packaged into metering device by date a data block；Data process method block
Comprising processing logic, for program processing data input logic block and preamble data the processing logical block input according to configuration
Data block, to subsequent data processing logical block output intermediate result or output final result；
Stream process control module：The single abnormity diagnosis logic chain that logic chain generation module is submitted is received, to single abnormity diagnosis
Logic chain does serializing processing, the logical block according to caused by being handled serializing, appoints for the distribution processing of single abnormity diagnosis logic chain
Business, and by result storage into stream process state-storage module；It is each always according to being updated in stream process state-storage module
The load state information of stream process working node, it is balanced to distribute processing task to stream process working node；
Stream process operational module：Every processing task in single abnormity diagnosis logic chain is run, in real time by each stream process work
The load state information for making node is stored into stream process state-storage module, completes to examine the single exception of electric power meter
It is disconnected, realize the parallel processing of multiple stream process working nodes；
The stream process state-storage module, including at least 3 memory nodes, for storing stream process control module and stream process
The information of operational module, stream process control module and stream process operational module from stream process state-storage module interactive information,
Distributed coordination is realized, ensures the uniformity of stream process cluster；
The stream process operational module, including：
Guard submodule：All logical blocks and processing duty mapping relation, task are obtained from stream process state-storage module
The logical block that allocation table and stream process working node need to be handled, and it is distributed to work submodule；Monitor processing task simultaneously
The load condition situation of heartbeat message and stream process working node, is stored in stream process state-storage module；Guard submodule
Whether have the information of renewal, upgrade in time local information if being inquired about by the way of poll in stream process state-storage module；
Work submodule：The logical block that need to handle of stream process working node is obtained from submodule is guarded, the place in operation logic block
Code is managed, and the ordinal relation run according to the logical block included in logical block establishes the company of logical block and other operational modules
Connect, complete the real-time single anomaly analysis of electric power meter, generate single abnormity diagnosis result；
Abnormal relevant diagnosis module：On the basis of single abnormity diagnosis result, further relevant diagnosis, generation metering are carried out
Abnormity diagnosis result and O＆M suggestion, and it is sent to power information acquisition system；
The abnormal relevant diagnosis module, including：
Associate matched sub-block：Single abnormity diagnosis result is obtained from stream process operational module, and according to from metering abnormity diagnosis
Abnormal relevant diagnosis model is obtained in rule base and carries out rule match, matching statistics obtains the theme and theme that incidence relation be present
Between the degree of association, and then draw the relevant diagnosis result of electric power meter；
Association analysis submodule：The degree of association between the theme and theme that incidence relation be present is obtained from association matched sub-block, from meter
Abnormal relevant diagnosis model is obtained in amount abnormity diagnosis rule base, multi-threaded abnormal association point is realized by association analysis algorithm
Analysis, according to abnormal association analysis result, judge electric power meter state in which, and then take corresponding counter-measure.
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| CN112816933B (en) * | 2020-12-30 | 2024-05-03 | 杭州海兴电力科技股份有限公司 | Maintenance diagnosis method and system for electric energy meter terminal |
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