CN107741522A - A kind of electrical energy meter fault remote diagnosis method - Google Patents
A kind of electrical energy meter fault remote diagnosis method Download PDFInfo
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- CN107741522A CN107741522A CN201710859969.8A CN201710859969A CN107741522A CN 107741522 A CN107741522 A CN 107741522A CN 201710859969 A CN201710859969 A CN 201710859969A CN 107741522 A CN107741522 A CN 107741522A
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- energy meter
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- failure
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/061—Details of electronic electricity meters
- G01R22/068—Arrangements for indicating or signaling faults
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R11/00—Electromechanical arrangements for measuring time integral of electric power or current, e.g. of consumption
- G01R11/02—Constructional details
- G01R11/25—Arrangements for indicating or signalling faults
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C25/00—Arrangements for preventing or correcting errors; Monitoring arrangements
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- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The present invention relates to a kind of electrical energy meter fault remote diagnosis method, comprise the following steps：S1, collection electric energy meter data, generation include the metaevent of event identifier, electric energy meter numbering and event information；S2, data prediction is carried out to metaevent；S3, foundation include the diagnostic knowledge base of the diagnostic rule of each failure of electric energy meter, judge whether metaevent belongs to some failure according to each diagnostic rule in diagnostic knowledge base.Compared with prior art, the present invention can unify Monitoring Data form, strengthen the versatility of data, improve fault diagnosis efficiency by the way that fault diagnosis data is established as into single independent metaevent.
Description
Technical field
The present invention relates to a kind of power system failure diagnostic technology, more particularly, to a kind of electrical energy meter fault remote diagnosis side
Method.
Background technology
Electricity, water, gas metering device are due to by the factor shadow such as individual difference, manufacturing process, component quality, running environment
Ring, it occur frequently that individual or bulk failure and misoperation operating mode, this kind of failure or misoperation operating mode are in daily work
It is difficult to be found and handled in time by operation maintenance personnel in work.The remote collection and analytic function of intelligent measuring system are relied on, research is opened
Generate suitable for electricity, water, the on-line monitoring and Intelligent Diagnosis Technology of gas metering device, can in time find and dispose site problems,
Ensure that metering is fair, just.
Metering device fault diagnosis is a logical process, but in current failure information system construction and fault diagnosis side
In the research of method, a predicament be present：On the one hand substantial amounts of fault data be present, cause data glut；On the other hand operation people
Member feels absence of information again in fault treating procedure.Wherein data glut is mainly presented with 2 points：First, data exist superfluous
Remaining, this redundancy is present in that measuring equipment is internal, between different measuring equipments and inside acquisition system；It is secondly as existing
The pretreatment of data acquisition is inadequate, and data are not entered by tagsort is applied according to applicating category to data yet
Row sort pass, cause the information that harvester provides exponentially to rise, upload a large amount of hashes.And absence of information is main
It is due to upload data there is the asynchronism of imperfection, inconsistency and clock, causes the key of some fault diagnosises
Situations such as loss of learning or orphaned information can not be associated, matched, cause the deficient situation of useful information.
The content of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of electrical energy meter fault is remote
Journey diagnostic method.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of electrical energy meter fault remote diagnosis method, comprises the following steps：
S1, collection electric energy meter data, generation include the metaevent of event identifier, electric energy meter numbering and event information；
S2, data prediction is carried out to metaevent；
S3, foundation include the diagnostic knowledge base of the diagnostic rule of each failure of electric energy meter, according to each in diagnostic knowledge base
Diagnostic rule judges whether metaevent belongs to some failure.
Preferably, the electrical energy meter fault includes on-load switch failure, clock failure, storage failure or damage, clock
Battery undervoltage, power cut-off recording battery undervoltage.
Preferably, the event information includes Time To Event, event end time, diagnosis generation Time And Event name
Claim.
Preferably, the step S2 is specifically included：
1) data and event gathered using the mode for ignoring tuple or interpolation arithmetic to acquisition system are shielded or filled out
Corresponding attribute is filled, completes metaevent data scrubbing；
2) gathered data of entity is matched with the essential information in marketing system by family number, to same entity
Metaevent carries out data integration；
3) data regularization is carried out to the demand of metaevent information according to the diagnostic result of electrical energy meter fault；
4) by the diagnostic rule of various electrical energy meter faults, smooth metadata, Data generalization, the number of data normalization are realized
According to conversion.
Preferably, the diagnostic rule of the on-load switch failure is：By taking control task triggering collection system copy reading electric energy meter
On-load switch malfunction or tripping logout, if on-load switch virtual condition issues on-load switch with electric energy meter micro-control unit
Coomand mode is inconsistent, then is determined with on-load switch failure.
Preferably, the diagnostic rule of the clock failure is：By freezing markers exception-triggered acquisition terminal copy reading electric energy day
Table active reporting status word or by electric energy meter active reporting, if having | electric energy meter freezes markers-terminal meter reading time |>24h, then sentence
Surely there is clock failure.
Preferably, the storage failure or the diagnostic rule of damage are：By day freezing data exception-triggered acquisition terminal
Copy reading electric energy meter active reporting status word or by electric energy meter active reporting, if having | everyday freeze electricity when everyday freezing electricity-upper one
Amount |>500kWh, then it is determined with storage failure or damage.
Preferably, the under-voltage diagnostic rule of the Clock battery is：Acquisition terminal is transported according to acquisition tasks copy reading electric energy meter
Line status word, if the displacement of Clock battery running status word is abnormal, it is determined with Clock battery under-voltage fault.
Preferably, the diagnostic rule of the power cut-off recording battery undervoltage is：Acquisition terminal is according to acquisition tasks copy reading electric energy
Table running status word, if the displacement of power cut-off recording battery operation status word is abnormal, it is determined with power cut-off recording battery undervoltage failure.
Compared with prior art, the present invention has advantages below：
1st, by the way that fault diagnosis data is established as into single independent metaevent, Monitoring Data form can be unified, strengthened
The versatility of data.
2nd, by metaevent process of data preprocessing, the various noises in metaevent data can be removed, help to reduce
The redundancy of data and inconsistent, size of data is simplified, improve the accuracy and speed of diagnosis process.
3rd, by establishing the diagnostic knowledge base for the diagnostic rule for including different electrical energy meter faults, the accurate of diagnosis can be improved
Property and it is comprehensive so that diagnosis it is more targeted, facilitate follow-up fault statistics and analysis.
Brief description of the drawings
Fig. 1 is flow chart of the method for the present invention.
Embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention
Premised on implemented, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to
Following embodiments.
As shown in figure 1, a kind of electrical energy meter fault remote diagnosis method, comprises the following steps：
S1, collection electric energy meter data, generation include the metaevent of event identifier, electric energy meter numbering and event information；
S2, data prediction is carried out to metaevent；
S3, foundation include the diagnostic knowledge base of the diagnostic rule of each failure of electric energy meter, according to each in diagnostic knowledge base
Diagnostic rule judges whether metaevent belongs to some failure.
Electrical energy meter fault includes on-load switch failure, clock failure, storage failure or damage, Clock battery is under-voltage, stops
Electric meter reading battery undervoltage.
Metaevent is that the event for fault diagnosis is decomposed into obtained single independent event.Wherein, event identifier is used
In the identity for representing metaevent uniqueness in system, it is autonomously generated by acquisition system by interval of day.Electric energy meter is numbered
The essential information of corresponding electric energy meter, for the matching of metaevent and other dimensional informations, with reference to marketing and acquisition system database
Middle facility information and stoichiometric point information is associated, and associate device information can extract electric energy meter batch number, electric energy meter manufacture list
The information such as position, for the diagnosis of the Universal Faults features such as the bulk failure of electric energy meter, familial form hidden danger, association stoichiometric point is believed substantially
Breath can determine the information such as customer location, electricity capacity, region.Event information represents the failure formed after network analysis
Information.Event information includes Time To Event, event end time, diagnosis generation Time And Event title, by acquisition system
The data analysis such as the logout or the electricity of collection that are reported according to stoichiometric point, voltage, electric current is drawn, is after system is processed
The information of formation.
The data source of fault diagnosis metaevent includes electric energy measurement data, operating condition in electric energy meter and acquisition terminal
The Various types of data such as data and logout, due to by various factors such as data source, acquisition quality, misprogramming, data mess codes
Influence, various noises be present in metaevent data, influence the quality of Result, therefore, metaevent data are located in advance
The quality of reason will be directly connected to the quality of final result.Step S2 carries out data prediction to metaevent and specifically included：
1st, the data and event gathered using the mode for ignoring tuple or interpolation arithmetic to acquisition system are shielded or filled out
Corresponding attribute is filled, completes metaevent data scrubbing, logout cleaning rule is：
(1) repeat to report with 1 event, event content includes only retaining the 1st article when the time is identical；
(2) repeat to report with 1 class event, event title is identical but content is different, only retains the 1st article per 8h；
(3) event of inclusion relation be present, redundancy event is rejected according to event causality；
(4) reject the event that content does not meet communications protocol format requirement, including data mess code and answer number completion according to be empty
Situation；
(5) the obvious wrong event of content is rejected, including event time is later than earlier than equipment set-up time and event time
Situation of the current time after k days, wherein k recommended values are 5；
(6) for the event that should occur in pairs, pass through curve data and terminal heartbeat if event is not paired, log in message
Auxiliary judgment is carried out etc. data；
Gathered data cleaning rule is：
It is (1) positive/negative when multiplying the numerical value of multiplying power to active general power and being more than m times (m recommended values be 50) of user's contract capacity,
Belong to abnormal data；
(2) the positive/negative electricity being calculated to electric energy indicating value is freezed day, more than user's day maximum power consumption (contract capacity
× 24h) n times (n recommended values be 50) when, belong to abnormal data；
(3) the positive/negative electricity being calculated to electric energy indicating value is freezed the moon, more than user's moon maximum power consumption (contract capacity
× 24h × 30 day) j times (j recommended values be 50) when, belong to abnormal data；
(4) when day month freezes maximum demand and multiplies the numerical value of multiplying power and be more than s times (s recommended values be 50) of user's contract capacity,
Belong to abnormal data；
(5) the period electricity that total plus group electric flux curve is calculated, more than User window maximum power consumption (contract capacity
× Period Length) p times (p recommended values be 50) when, belong to abnormal data；
(6) when secondary side magnitude of voltage is more than q times (q recommended values are 2) of rated secondary voltage value, abnormal data is belonged to.
(7) secondary side current value multiplies k times (k recommended value be 2) of the multiplying power more than current transformer primary side load current value,
Belong to abnormal data；
2nd, monitoring taiwan area is limited by terminal number, will be basic in the gathered data and marketing system of entity by family number
Information is matched, and data integration is carried out to the metaevent of same entity, by the accurate identification to entity, determines that entity is corresponding
Each item data, extract corresponding attribute according to algorithm requirements during actual excavation and participate in computing, solve redundancy issue；
3rd, data regularization is carried out to the demand of metaevent information according to the diagnostic result of electrical energy meter fault, examined for each
All metaevents corresponding to disconnected result set the vector of a progress data regularization, and the corresponding attribute related to diagnostic result is protected
Stay, incoherent corresponding attribute removes；
4th, by the diagnostic rule of various electrical energy meter faults, smooth metadata, Data generalization, the number of data normalization are realized
According to conversion, by the data conversion of different latitude into the form for being suitable for excavating.
The coomand mode that on-load switch failure on-load switch virtual condition issues on-load switch with ammeter MCU is inconsistent, examines
Disconnected rule is：As required, by taking control task triggering collection system copy reading electric energy meter on-load switch malfunction or tripping logout,
If the coomand mode that on-load switch virtual condition issues on-load switch with electric energy meter micro-control unit is inconsistent, load is determined with
Switch fault.
The diagnostic rule of clock failure is：By freezing markers exception-triggered acquisition terminal copy reading electric energy meter active reporting shape day
State word or by electric energy meter active reporting, if having | electric energy meter freezes markers-terminal meter reading time |>24h, then it is determined with clock event
Barrier.
Storage failure or damage are electric energy meter memory failure, internal storage data will be caused abnormal, diagnostic rule is：Frozen by day
Tie data exception triggering collection terminal copy reading electric energy meter active reporting status word or by electric energy meter active reporting, if having | when everyday
Freeze electricity-upper one and everyday freeze electricity |>500kWh, then it is determined with storage failure or damage.
Clock battery is under-voltage and occurs to cause clock of power meter abnormal during ammeter power down, the diagnosis rule that Clock battery is under-voltage
It is then：Acquisition terminal is according to acquisition tasks copy reading electric energy meter running status word, if the displacement of Clock battery running status word is abnormal,
It is determined with Clock battery under-voltage fault.Detect frequency be 15 minutes~1 day once.
Power cut-off recording battery undervoltage, when will cause electric energy meter power down can not meter reading, diagnostic rule is：Acquisition terminal is according to adopting
Set task copy reading electric energy meter running status word, if the displacement of power cut-off recording battery operation status word is abnormal, it is determined with power cut-off recording
Battery undervoltage failure.Detect frequency be 15 minutes~1 day once.
Claims (9)
1. a kind of electrical energy meter fault remote diagnosis method, it is characterised in that comprise the following steps：
S1, collection electric energy meter data, generation include the metaevent of event identifier, electric energy meter numbering and event information；
S2, data prediction is carried out to metaevent；
S3, foundation include the diagnostic knowledge base of the diagnostic rule of each failure of electric energy meter, according to each diagnosis in diagnostic knowledge base
Whether rule judgment metaevent belongs to some failure.
A kind of 2. electrical energy meter fault remote diagnosis method according to claim 1, it is characterised in that the electrical energy meter fault
Including on-load switch failure, clock failure, storage failure or damage, Clock battery is under-voltage, power cut-off recording battery undervoltage.
A kind of 3. electrical energy meter fault remote diagnosis method according to claim 1, it is characterised in that the event information bag
Include Time To Event, event end time, diagnosis generation Time And Event title.
4. a kind of electrical energy meter fault remote diagnosis method according to claim 1, it is characterised in that the step S2 is specific
Including：
1) data and event gathered using the mode for ignoring tuple or interpolation arithmetic to acquisition system are shielded or filled phase
The attribute answered, complete metaevent data scrubbing；
2) gathered data of entity is matched with the essential information in marketing system by family number, to first thing of same entity
Part carries out data integration；
3) data regularization is carried out to the demand of metaevent information according to the diagnostic result of electrical energy meter fault；
4) by the diagnostic rule of various electrical energy meter faults, realize that smooth metadata, Data generalization, the data of data normalization become
Change.
A kind of 5. electrical energy meter fault remote diagnosis method according to claim 2, it is characterised in that the on-load switch event
The diagnostic rule of barrier is：By taking control task triggering collection system copy reading electric energy meter on-load switch malfunction or tripping logout, if
The coomand mode that on-load switch virtual condition issues on-load switch with electric energy meter micro-control unit is inconsistent, then is determined with load and opens
Close failure.
6. a kind of electrical energy meter fault remote diagnosis method according to claim 2, it is characterised in that the clock failure
Diagnostic rule is：By freezing markers exception-triggered acquisition terminal copy reading electric energy meter active reporting status word day or by electric energy meter active
Report, if having | electric energy meter freezes markers-terminal meter reading time |>24h, then it is determined with clock failure.
A kind of 7. electrical energy meter fault remote diagnosis method according to claim 2, it is characterised in that the storage failure
Or the diagnostic rule of damage is：By day freezing data exception-triggered acquisition terminal copy reading electric energy meter active reporting status word or by electricity
Energy table active reporting, if having | everyday freeze electricity when everyday freezing electricity-upper one |>500kWh, then it is determined with storage failure
Or damage.
8. a kind of electrical energy meter fault remote diagnosis method according to claim 2, it is characterised in that the Clock battery is owed
The diagnostic rule of pressure is：Acquisition terminal is according to acquisition tasks copy reading electric energy meter running status word, if Clock battery running status word
Displacement is abnormal, then is determined with Clock battery under-voltage fault.
A kind of 9. electrical energy meter fault remote diagnosis method according to claim 2, it is characterised in that the power cut-off recording electricity
The diagnostic rule that pond is under-voltage is：Acquisition terminal is according to acquisition tasks copy reading electric energy meter running status word, if power cut-off recording battery is transported
Line status word displacement is abnormal, then is determined with power cut-off recording battery undervoltage failure.
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| CN201710859969.8A CN107741522A (en) | 2017-09-21 | 2017-09-21 | A kind of electrical energy meter fault remote diagnosis method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108320485A (en) * | 2018-03-15 | 2018-07-24 | 广州供电局有限公司 | The data check method of metering automation terminal, device and system |
| CN108663651A (en) * | 2018-05-04 | 2018-10-16 | 国网上海市电力公司 | A kind of intelligent electric energy meter evaluation of running status system based on multisource data fusion |
| CN109102691A (en) * | 2018-07-24 | 2018-12-28 | 宁波三星医疗电气股份有限公司 | A kind of electric energy meter active report of event processing method based on chained list |
| CN109598918A (en) * | 2018-12-26 | 2019-04-09 | 宁波三星智能电气有限公司 | A kind of transmission method of electric energy meter event information |
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| CN106161138A (en) * | 2016-06-17 | 2016-11-23 | 贵州电网有限责任公司贵阳供电局 | A kind of intelligence automatic gauge method and device |
| CN106199494A (en) * | 2016-07-25 | 2016-12-07 | 国网上海市电力公司 | A kind of intelligent diagnosis system based on metering device fault |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102122431A (en) * | 2010-12-15 | 2011-07-13 | 广东电网公司电力科学研究院 | Method and system for intelligently diagnosing faults of electricity information collection terminal |
| CN106161138A (en) * | 2016-06-17 | 2016-11-23 | 贵州电网有限责任公司贵阳供电局 | A kind of intelligence automatic gauge method and device |
| CN106199494A (en) * | 2016-07-25 | 2016-12-07 | 国网上海市电力公司 | A kind of intelligent diagnosis system based on metering device fault |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108320485A (en) * | 2018-03-15 | 2018-07-24 | 广州供电局有限公司 | The data check method of metering automation terminal, device and system |
| CN108663651A (en) * | 2018-05-04 | 2018-10-16 | 国网上海市电力公司 | A kind of intelligent electric energy meter evaluation of running status system based on multisource data fusion |
| CN109102691A (en) * | 2018-07-24 | 2018-12-28 | 宁波三星医疗电气股份有限公司 | A kind of electric energy meter active report of event processing method based on chained list |
| CN109102691B (en) * | 2018-07-24 | 2020-10-27 | 宁波三星医疗电气股份有限公司 | Active reporting processing method for electric energy meter event based on linked list |
| CN109598918A (en) * | 2018-12-26 | 2019-04-09 | 宁波三星智能电气有限公司 | A kind of transmission method of electric energy meter event information |
| CN109598918B (en) * | 2018-12-26 | 2020-06-02 | 宁波三星智能电气有限公司 | Electric energy meter event information transmission method |
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Application publication date: 20180227 |