CN108776804A - A kind of transformer specialization repair method based on portable terminal - Google Patents
A kind of transformer specialization repair method based on portable terminal Download PDFInfo
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- CN108776804A CN108776804A CN201810375808.6A CN201810375808A CN108776804A CN 108776804 A CN108776804 A CN 108776804A CN 201810375808 A CN201810375808 A CN 201810375808A CN 108776804 A CN108776804 A CN 108776804A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
- G06F18/24155—Bayesian classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
Abstract
The present invention relates to a kind of transformer specialization repair method based on portable terminal, 1, structure transformer specialization overhaul data platform；2, data acquisition is carried out to the transformer overhauled using portable terminal；3, the data aggregate of acquisition is transferred to far-end server；4, differentiated by the transformer state based on fuzzy overall evaluation and Bayesian Decision and Early-warning Model is assessed, provide early warning suggestion；5, assessment result, early warning suggestion are sent to portable terminal；6, transformer is overhauled in service personnel's assessment result, early warning suggestion.The present invention proposes the comprehensive evaluation method of fuzzy theory+Bayes Discriminatory Method, it is subordinate to grade situation progress comprehensive evaluation to being evaluated transformer from multifactor, keep the evaluation method more science that transformer specialization is overhauled comprehensive, ensures the accuracy of transformer specialization maintenance result；In Repair of Transformer, in-site collecting overhauls required data and obtains the maintenance result of transformer in real time.
Description
Technical field
The invention belongs to power system transformer service technique fields, and in particular to a kind of transformation based on portable terminal
Device specialization repair method.
Background technology
The status information capture technical merit of traditional grid equipment is not high, and the critical state information of equipment component can not be real-time
It obtains, self-test capability, the self diagnosis ability of equipment need to be promoted further.In the application aspect of O&M information, traditional state
Assessment and diagnosis primarily focuses on the analysis of single index, fails to efficiently use multi-source data realization comprehensive analysis, to equipment shape
The underbraced of state management and control and batch production maintenance.
State evaluation process is a quantizing process that state quantity of the equipment is mapped to state space from information space, mesh
Before, general analysis method for reliability includes mainly failure mode and effect analysis method (FMEA), failure severity point both at home and abroad
Analysis method (FCA), three kinds of Fault Tree Analysis (FTA).Main models for fail-safe analysis include reliability block diagram, fault tree
Model, fuzzy diagnosis model, markov (Markov) model, Bayesian network model, neural network model etc..State evaluation
Application in more typical method have Bayesian network, neural network, gray system theory, evidence theory, expert system etc..Often
Mathematics method+analytic hierarchy process (AHP) (AHP) in comprehensive method for evaluating state is to solve multiple criteria multi-objective problem
A kind of effective method, but when compare factor it is more when, judgment matrix is not easy to reach consistency, and adjusts difficult；Ash
Color correlation analysis method provides a kind of measurement of quantization for the development and change situation of a system, is well suited for dynamic course
Analysis, but when progress fault diagnosis, take sequence different processing methods, the size of the degree of association can be made to change, and
Inteerelated order is typically that will not change.
Invention content
To solve above-mentioned technical problem unclear to quantization boundary, subjectivity is strong, it is based on from Multiple factors to being commented
Valence things is subordinate to the demand that grade situation carries out comprehensive evaluation, and the present invention proposes the comprehensive of fuzzy theory+Bayes Discriminatory Method
Evaluation method is closed, transformer specialization maintenance portable terminal is worked out, realizes overhaul data in-site collecting and management, for not
The overhaul data that same overhauling project obtains uses corresponding data acquisition mode.The technical thought of the present invention is as follows：
(1) acquisition methods for studying transformer state information, collect data；
Collect the various states information data in high-power transformer operational process, including factory data, prerun data, operation
Data and there are the provisional overhaul data of record, cycled recondition data, casualty data etc..Data is carried out to historical data
It collects, investigation, and carries out induction and conclusion, judge the current state of transformer.
(2) classification analysis, the storage scheme of research data base are carried out to the operation data of transformer；
Classification analysis is carried out to the data of collection, different databases is investigated, analyzes respective Pros and Cons, determine and close
Suitable database purchase scheme carries out a large amount of historical datas, it is specified that consistent data structure and storage method in the database
It preserves, is convenient for subsequent analysis application.
(3) running state of transformer evaluation index system is formulated；
Modeling analysis is carried out to the current operating data of transformer, suitable fault analysis model is determined, judges transformer
The development trend of operating status.On the basis of summarizing, arranging history and current transformer operating status various data, according to mesh
The monitoring of preceding power department transformer and maintenance present situation are right from the needs of Condition Maintenance Method of Transformer and practical operability
Various information carries out classification processing, studies and establish science, objective running state of transformer evaluation index system.
(4) according to the classification of transformer state information and the classification of transformer fault, determine that transformer specialization integrates
The function having required for management system portable terminal；Determine that total management system portable terminal is overhauled in transformer specialization
The contact of the function module at end and each intermodule.
The technical solution adopted in the present invention is as follows：
A kind of transformer specialization repair method based on portable terminal, includes the following steps：
Step 1 carries out data classification to transformer specialization inspecting state information, builds transformer specialization overhaul data
Platform；
Step 2 carries out data acquisition on the spot using portable terminal to the transformer overhauled；
The data aggregate of acquisition is transferred to remote service by step 3, portable terminal by wireless network or cable network
Device；
Step 4, far-end server pass through base according to the gathered data received in conjunction with the historical data in data platform
In the Power Transformer Condition of fuzzy overall evaluation and Bayesian Decision differentiate and Early-warning Model to the safe condition of transformer into
Row assessment, and provide corresponding early warning suggestion；
Assessment result, early warning suggestion are sent to portable by step 5, far-end server by wireless network or cable network
Terminal；
Step 6, field service personnel overhaul transformer according to the assessment result of portable terminal, early warning suggestion,
And subsequent corresponding operating is made to transformer, ensure the safe operation of transformer.
Preferably, it when carrying out data classification to transformer specialization inspecting state information in step 1, splits data into following
Six classes：
(1) historical data：The Technique performance parameter of transformer, exfactory inspection data, check data, maintenance record,
Failure logging, these data informations form the base state before transformer puts into operation；
(2) operation data：Transformer exception noise, transformation in transformer load, oil temperature data, sealing and leakage, operation
Device near region shorting data, transformer relay protecting data, operation data are the records of running state of transformer, and operating status is direct
It is related to service life and the ageing state of transformer；
(3) preventive trial data：Insulation Resistance of Transformer, industrial frequency AC pressure resistance data, preventive trial data can
The various features for reflecting transformer, for finding that accident or equipment damage occur for the hidden danger of transformer in operation, prevention；
(4) online monitoring data：Oil dissolved gas online monitoring data, partial discharge monitoring data monitor number on-line
It is the specific manifestation of transformer current state according to the supplement for being preventive trial data；
(5) assessment of transformer state amount will not only embody the general levels of system, also embody each portion of transformer
The independence of part, therefore, the data of each component of transformer are divided into six parts：It is ontology, casing, tap switch, cooling system, non-
Electric quantity protective, on-line monitoring.
(6) data of other factors, including：Attachment operating condition, visual examination situation, the operation time limit, running environment amount.
Preferably, data on the spot are carried out to the transformer overhauled using portable terminal in step 2 to acquire, is acquired
Data include：
(1) transformer and its component facade check data；
When transformer breaks down, either power transformer interior fault or external fault, the abnormal phenomenon generated
Often pass through the forms tables such as sound, smell, transformer oil box enclosure the degree of heat (tactile) and transformer external protector
Reveal and.Therefore, the appearance that transformer body and its component should be checked according to relevant operating instruction, to understand the work residing for it
Making state, (whether normally, in gas relay whether the size of such as temperature indicator, oil conservater oil level have gas, tank body of oil tank
Whether there is or not leakage phenomenons and lead to be connected with non-loosening, discoloration etc.), and the data information obtained or historical record is combined to be sentenced
Disconnected and analysis, completes transformer and its component facade checks the acquisition of data.
(2) transformer core, clamp earthing current test data；
Iron core some good earths should be kept when large-scale power transformer normal operation, once multipoint earth faults occur will
Directly threaten the normal operation and service life of transformer.When 2 points of power transformer iron core or multipoint earthing, meeting inside iron core
Circulation (electric current is sometimes up to tens of amperes) is induced, leads to transformer hot-spot, iron core can be caused to damage when serious, very
To ground wire is burnt out, lead to iron core electric potential floating, partial discharges fault occurs, seriously affects the reliability service of transformer.Work as change
When multipoint earth faults occur for depressor iron core, earthing position is different, and the size of the iron core grounding fault current of generation is also different.Cause
This, needs in the operation of the transformer, monitors the variation of transformer core and clamp earthing current in real time.In substation field
It can be by manually being measured to iron core, clamp earthing current using the forward ammeter of exchange.
(3) transformer and its infrared accurate temperature measurement data of component；
The failure of electrical equipment is mainly made of internal fault and external fault two parts.Wherein, the feature of internal fault
It is mainly shown as the features such as fever time is long, fever process is continual and steady, while can also be shown according to the difference of external environment
Other the characteristics of；Inside transformer thermal fault be typically caused by the factors such as poor contact, such issues that can utilize it is red
Outer thermometric detects its fault point, and is analyzed failure in conjunction with oil chromatography, just can be well solved.
External fault mainly using the form of hot-spot to ambient radiation infrared ray as the form of expression, this feature determines
The solution of its failure must need the help of infrared measurement of temperature.
The failure of transformer oil pipeline happens occasionally, and the form of expression of failure is mainly line clogging, stifled in pipeline
When plug-like condition occurs, the heat dissipation of blocking portion will receive quite serious influence, very unfavorable to the good operation of transformer,
It needs to coordinate Thermogram to solve it using infrared measurement of temperature.
The failure of installation for transformer or bushing oil starvation is one kind very common in transformer fault, with oil line pipe
The settling mode of blocking is identical, this problem mainly also should by infrared measurement of temperature with thermography map analysis be combined in the way of to its into
Row solves.
In addition, infrared measurement of temperature can find out the problems such as terminal connection, cooler defect, magnetic screen and ground connection.In substation
Scene can realize the accurate thermometric to transformer and its component by far infrared temperature measurer.
(4) ultrasonic wave (high frequency) partial discharge monitoring and location data；
There are when insulation defect inside high-tension electricity equipment, the generation of shelf depreciation can be caused.Shelf depreciation is inspired
Ultrasonic signal be transmitted to power equipment shell along dielectric and metalwork by Partial Discharge Sources, and pass through medium and seam
Gap is to ambient airborne.The mounting ultrasonic sensor near power equipment shell or equipment couples the ultrasonic signal, can
To judge the shelf depreciation situation of power equipment, and then reflect the insulation status of equipment indirectly.
Shelf depreciation ultrasonic Detection Method has wider detection frequency band, usually in 20~200kHz.Supercritical ultrasonics technology is one
The detection method of kind non-intrusion type, does not have electrical link, therefore supercritical ultrasonics technology can be from original between detecting system and high tension loop
The influence of electromagnetic signal is avoided in reason, and there is good anti-interference ability and higher sensitivity.In addition, shelf depreciation ultrasonic wave
Detection can be carried out in the case where not influencing equipment operation, and can realize the positioning of Partial Discharge Sources.
When transformer has manufacturing defect, such as poor contact, it just has partial discharge phenomenon in inside transformer and generates,
Meanwhile if there is bubble also to have shelf depreciation generation in oil or paper.Shelf depreciation is divided into spark discharge and the height of low energy
The arc discharge of energy.By the detection of ultrasonic wave/ultra-high frequency signal to transformer keypoint part, change can be accurately reacted
Shelf depreciation situation inside depressor.
To the monitoring of transformer inner discharge and it can be determined by the realization of shelf depreciation localization by ultrasonic instrument in substation field
Position, acquires relevant data.
(5) transformer oil routine and chromatogram analysis data；
The operating status for assessing substation's capital equipment and device completely under live state is transformer specialization inspection
The first choice repaiied, therefore most basic method, which is commented by the synthesis to transformer oil, to be judged to transformer station high-voltage side bus situation
Estimate, it is all critically important to assessing all relevant parameters.The operation of transformer oil current parameters and historical trend and substation
Variation and external world situation (load, temperature) variation are all closely related.Dissolved gas analysis technology is current domestic existing
One of the major technique of field diagnosing fault of power transformer, the technology can be carried out in system operation, and not by external electrical field
With the influence of magnetic field factor, initial failure existing for inside transformer can be found in time, it is considered to be transformer fault diagnosis
One of most widely used method.
Gas chromatography analysis dissolved gases in insulating oil is detected regular without power failure by oil chromatography
Inside transformer situation is diagnosed, finds internal flaw in time, is that one of guarantee transformer safety stable operation is important
Means.There is the early stage of some equipment latent or local fault, such as transformer core multipoint earthing, the slight circle of inside transformer coil
Between the failures such as short circuit and smaller electric discharge, be difficult often to discover, and pass through dissolved gases in insulating oil detection point in practice
Analysis, can be obtained by sensitive reflection in the situation of change of fault characteristic gases volume fraction in the oil.But oil chromatography testing number
It, be according to actual conditions in practical application according to that can not include the enough information accurately judged fault type and position
In conjunction with the various effective detection means comprehensive analysis and judgement such as infrared measurement of temperature, ultrasound examination, better failure could be obtained and examined
It is disconnected.
It can pass through dielectric oil dielectrical strength tester, oil loss tester and full-automatic gas phase color in substation field
The equipment such as spectrometer realize the acquisition to transformer oil routine and chromatogram analysis data.
(6) transformer anti-short circuit capability verify data；
Short circuit accident is the serious safety accident of substation, and substation should avoid the generation of problems.Become so calculating
In depressor, low pressure winding anti-short circuit capability, looks for design and material hidden danger existing for same batch products, checks whether transformer meets
Residing system environments short circuit current is to assess the important evidence of substation's safety work.After providing call parameter, lead to
The design of excessive level and verification personnel and comprehensive verification software to calculate and verify into the anti-short circuit capability of line transformer,
To judge, whether the anti-short circuit capability of inspection transformer meets service requirement.
(7) counter arrange of 18, state's net executes data；
Counter arrange of 18, state's net is the important means for promoting substation safety stable operation, can be directed to the phase of State Grid Corporation of China
It closes paper formulation correlation inspection content and carries out the quantizations of data, to help deficiency that substation finds that related work is carried out
Place.
Preferably, described in step 4 based on the Power Transformer Condition of fuzzy overall evaluation and Bayesian Decision differentiate and
The differentiation process of Early-warning Model includes the following steps：
Step a. monitors sample to be tested on-line, obtains the measured value of power transformer indices；
Step b. carries out initialization process to measurement result and quantifies according to state evaluation system；
Step c. differentiates the evaluation result that sample data is acquired with Early-warning Model according to Power Transformer Condition；
Step d. differentiates according to Power Transformer Condition and the assessment result of Early-warning Model, using Bayesian Decision model meter
The accuracy that sample differentiates is calculated, if accuracy is higher than 90%, result is exported according to model；If accuracy is less than 90%,
It then updates index weights, improve evaluation model, return to step b；
Step e. determines Operation Condition of Power Transformers and proposes corresponding early warning suggestion according to diagnostic result.
Preferably, the foundation Power Transformer Condition described in step c differentiates and Early-warning Model acquires the evaluation of sample data
As a result include the following steps：
(1) transformer current state is analyzed：According to Equipment Foundations information, supervised by production management system or other intelligence
Examining system will reflect that the various kinds of equipment basic data, test data and other data of equipment health status index carry out aggregation process
Judge current device state；
(2) data processing：Necessary data is extracted from the data resource got and carries out analysis working process, is converted into energy
The state figureofmerit for enough reflecting equipment health status, so that monitoring and warning and state evaluation use；
(3) monitoring and warning：Changed according to monitor state figureofmerit, to beyond state evaluation directive/guide and regulation prescribed limit
It deteriorates index and carries out status early warning, warning information is issued to administrative staff according to different classification and grade in time；
(4) state evaluation：According to relevant evaluations standards such as the state characteristic quantity of transformer and state evaluation directive/guides, to reflection
Each quantity of state index item data of equipment health status is analyzed and evaluated, and finally obtains equipment health status grade；
(5) decision recommendation：Based on preamble data, risk assessment and echelon maintenance standard are considered, determine specific
Need the project overhauled and time.By decision recommendation module, the echelon maintenance standard of established power equipment determines specific
Overhauling project, time, so that service personnel carries out service arrangement.
When being preferably based on portable terminal and being overhauled into line transformer specialization, the operation of portable terminal includes following
Step：
(1) user's registration or login：If it is new user, it is necessary first to register, new user need to submit relevant information, packet
User name, contact method etc. are included, administrator will be in its input database by operation.While new user's registration, administrator will
According to user gradation batch operation permission.
Registration user needs to input user name and password in login page, clicks and logs in, after relevant information is committed to distal end
Platform server, background server is authenticated to user identity and feedback user operating right.After user logins successfully, it will enter
System default homepage.User's registration user's registration is to have the possessed behaviour of the user of administrator access with function is nullified
Make function.This operation directly logs in background server by user and operates.
(2) by the Quick Response Code on portable tty terminal transformer, the essential information of this transformer can be obtained, side
Just quick.
(3) overhauling project is created, needs to fill in power transformation station name, project name, project commencement date and deadline, the selection project implementation
Working group adds maintenance task.Overhauling project is created by click, then in the newly-built overhauling project page operation of pop-up reality
It is existing.Maintenance task can be added after newly-built overhauling project in the contents of a project, addition maintenance task overhauls task pages by addition
The specified maintenance transformer in face, maintenance transformer are specified by actual number.
(4) typing and modification of Repair of Transformer data are carried out.Overhaul data includes transformer essential information, maintenance safety
Operation information, service kit/material information, transformer body check that data, bushing shell for transformer check that data, transformer tap are opened
It closes and checks that data, cooling system check that data, non-ionizing energy loss and secondary circuit check that data, on-Line Monitor Device check number
According to, iron core/clamp earthing current test data, infrared measurement of temperature data, ultrasonic wave/high frequency localization examination data and transformer oil colours
The contents such as spectrum detection and analysis data.
(5) query assessment result, early warning suggestion, including：Complete overhaul project query, certain period overhauling project inquiry,
Somewhere overhauling project inquiry.Enter web page after inquiry, result is shown with card mode, and entry name, item are included in card
Task contained by total task number, project contained by mesh completes the information such as number, project beginning and ending time, working group.
Beneficial effects of the present invention：
1) present invention proposes the comprehensive evaluation method of fuzzy theory+Bayes Discriminatory Method, can be from Multiple factors to quilt
Evaluation transformer is subordinate to grade situation and carries out comprehensive evaluation, makes evaluation method that transformer specialization overhauls more science, complete
Face；
2) present invention constructs the data platform that can embody transformer synthesis situation, and to data carry out scientific classification and
Storage ensure that the accuracy of transformer specialization maintenance result；
3) present invention is improved existing portable terminal, keeps it more intelligent, can be examined in transformer profession
In-site collecting overhauls required data and obtains the maintenance result of transformer in real time when repairing.
Description of the drawings
Fig. 1 is the function module frame diagram of portable terminal；
Fig. 2 is the logical procedure diagram of the present invention；
Fig. 3 is the condition discrimination and Early-warning Model logical flow chart of Repair of Transformer.
Specific implementation mode
Below in conjunction with the accompanying drawings, embodiments of the present invention are illustrated.
As shown in Figure 1, being the function module frame diagram of portable terminal.In the present embodiment, overhauled in PWS-472 specializations
On the basis of Mobile portable formula terminal, following functions module is increased：For user's login of user management, user's registration mould
Block, for the Quick Response Code of data management, newly-built task, data inputting, enquiry module.When specific operation, after service personnel logs in,
By the Quick Response Code on portable tty terminal transformer, the essential information of this transformer is obtained；Newly-built overhauling project, is filled in
Power transformation station name, project name, project commencement date and deadline, selection project implementation working group, add maintenance task；It is examined into line transformer
Repair the typing and modification of data；Query assessment result, early warning suggestion, including：Complete overhaul project query, certain period overhaul item
Mesh inquiry, the inquiry of somewhere overhauling project.
As shown in Fig. 2, being the logical procedure diagram of the present invention.A kind of transformer specialization maintenance based on portable terminal
Method includes the following steps：
Step 1 carries out data classification to transformer specialization inspecting state information, builds transformer specialization overhaul data
Platform；
Step 2 carries out data acquisition on the spot using portable terminal to the transformer overhauled；
The data aggregate of acquisition is transferred to remote service by step 3, portable terminal by wireless network or cable network
Device；
Step 4, far-end server pass through base according to the gathered data received in conjunction with the historical data in data platform
In the Power Transformer Condition of fuzzy overall evaluation and Bayesian Decision differentiate and Early-warning Model to the safe condition of transformer into
Row assessment, and provide corresponding early warning suggestion；
Assessment result, early warning suggestion are sent to portable by step 5, far-end server by wireless network or cable network
Terminal；
Step 6, field service personnel overhaul transformer according to the assessment result of portable terminal, early warning suggestion,
And subsequent corresponding operating is made to transformer.
In step 4, differentiated and Early-warning Model pair based on the Power Transformer Condition of fuzzy overall evaluation and Bayesian Decision
The safe condition of transformer is assessed, as shown in figure 3, being the condition discrimination and Early-warning Model logic flow of Repair of Transformer
Figure, includes the following steps：
Step a. monitors sample to be tested on-line, obtains the measured value of power transformer indices；
Step b. carries out initialization process to measurement result and quantifies according to state evaluation system；
Step c. differentiates the evaluation result that sample data is acquired with Early-warning Model according to Power Transformer Condition；
Step d. differentiates according to Power Transformer Condition and the assessment result of Early-warning Model, using Bayesian Decision model meter
The accuracy that sample differentiates is calculated, if accuracy is higher than 90%, result is exported according to model；If accuracy is less than 90%,
It then updates index weights, improve evaluation model, return to step b；
Step e. determines Operation Condition of Power Transformers and proposes corresponding early warning suggestion according to diagnostic result.Overhaul people
Member takes subsequent maintenance measure according to assessment result and early warning suggestion.
Claims (7)
1. a kind of transformer specialization repair method based on portable terminal, which is characterized in that include the following steps：
Step 1 carries out transformer specialization inspecting state information data classification, and structure transformer specialization overhaul data is flat
Platform；
Step 2 carries out data acquisition on the spot using portable terminal to the transformer overhauled；
The data aggregate of acquisition is transferred to far-end server by step 3, portable terminal by wireless network or cable network；
Step 4, far-end server are according to the gathered data received, in conjunction with the historical data in data platform, by being based on mould
The Power Transformer Condition of paste overall merit and Bayesian Decision differentiates and Early-warning Model comments the safe condition of transformer
Estimate, and provides corresponding early warning suggestion；
Assessment result, early warning suggestion are sent to portable terminal by step 5, far-end server by wireless network or cable network
End；
Step 6, field service personnel overhaul transformer according to the assessment result of portable terminal, early warning suggestion, and right
Transformer makes subsequent corresponding operating.
2. a kind of transformer specialization repair method based on portable terminal according to claim 1, which is characterized in that
When carrying out data classification to transformer specialization inspecting state information in step 1, following six class is splitted data into：
(1) historical data；(2) operation data；(3) preventive trial data；(4) online monitoring data；(5) each component of transformer
Data, including：Ontology, casing, tap switch, cooling system, non-ionizing energy loss, on-line monitoring；(6) number of other factors
According to, including：Attachment operating condition, visual examination situation, the operation time limit, running environment amount.
3. a kind of transformer specialization repair method based on portable terminal according to claim 2, which is characterized in that
Data on the spot are carried out in step 2 to the transformer overhauled using portable terminal to acquire, the data acquired include：
(1) transformer and its component facade check data；(2) transformer core, clamp earthing current test data；(3) transformation
Device and its infrared accurate temperature measurement data of component；(4) ultrasonic wave (high frequency) partial discharge monitoring and location data；(5) transformer oil
Routine and chromatogram analysis data；(6) transformer anti-short circuit capability verify data；(7) counter arrange of 18, state's net executes data.
4. a kind of transformer specialization repair method based on portable terminal according to claim 3, which is characterized in that
Being differentiated based on the Power Transformer Condition of fuzzy overall evaluation and Bayesian Decision described in step 4 and the differentiation of Early-warning Model
Journey includes the following steps：
Step a. monitors sample to be tested on-line, obtains the measured value of power transformer indices；
Step b. carries out initialization process to measurement result and quantifies according to state evaluation system；
Step c. differentiates the evaluation result that sample data is acquired with Early-warning Model according to Power Transformer Condition；
Step d. differentiates according to Power Transformer Condition and the assessment result of Early-warning Model, and sample is calculated using Bayesian Decision model
The accuracy of this differentiation exports result if accuracy is higher than 90% according to model；If accuracy is less than 90%, more
New Set weight improves evaluation model, return to step b；
Step e. determines Operation Condition of Power Transformers and proposes corresponding early warning suggestion according to diagnostic result.
5. a kind of transformer specialization repair method based on portable terminal according to claim 4, which is characterized in that
Foundation Power Transformer Condition described in step c differentiates that it includes following step to acquire the evaluation result of sample data with Early-warning Model
Suddenly：
(1) transformer current state is analyzed；
(2) extraction necessary data carries out analysis working process, is converted into the quantity of state that can reflect equipment transformer health status
Index；
(3) status early warning is carried out to the deterioration index beyond state evaluation directive/guide and regulation prescribed limit, according to different classifications
With grade warning information is issued to administrative staff in time；
(4) state evaluation：To reflecting that each quantity of state index item data of transformer health status is analyzed and evaluated, and final
Go out equipment health status grade；
(5) decision recommendation determines project and the time for specifically needing to overhaul.
6. according to a kind of transformer specialization repair method based on portable terminal of claim 1-5 any one of them,
It is characterized in that, when being overhauled into line transformer specialization based on portable terminal, the operation of portable terminal includes the following steps：
(1) user's registration or login；
(2) by the Quick Response Code on portable tty terminal transformer, the essential information of this transformer is obtained；
(3) overhauling project is created, power transformation station name, project name, project commencement date and deadline, selection project implementation working group are filled in,
Add maintenance task；
(4) typing and modification of Repair of Transformer data are carried out；
(5) query assessment result, early warning suggestion, including：Complete overhaul project query, the inquiry of certain period overhauling project, somewhere
Area's overhauling project inquiry.
7. a kind of transformer specialization repair method based on portable terminal according to claim 6, which is characterized in that
When step (4) carries out the typing and modification of Repair of Transformer data, overhaul data includes：Transformer essential information, maintenance safety
Operation information, service kit/material information, transformer body check that data, bushing shell for transformer check that data, transformer tap are opened
It closes and checks that data, cooling system check that data, non-ionizing energy loss and secondary circuit check that data, on-Line Monitor Device check number
According to, iron core/clamp earthing current test data, infrared measurement of temperature data, ultrasonic wave/high frequency localization examination data and transformer oil colours
Spectrum detection and analysis data.
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