CN107392324A - The specialized maintenance total management system of transformer - Google Patents
The specialized maintenance total management system of transformer Download PDFInfo
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- CN107392324A CN107392324A CN201710535056.0A CN201710535056A CN107392324A CN 107392324 A CN107392324 A CN 107392324A CN 201710535056 A CN201710535056 A CN 201710535056A CN 107392324 A CN107392324 A CN 107392324A
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- 238000012423 maintenance Methods 0.000 title claims abstract description 55
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- 238000012360 testing method Methods 0.000 claims description 12
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- 238000007689 inspection Methods 0.000 claims description 9
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- TVZRAEYQIKYCPH-UHFFFAOYSA-N 3-(trimethylsilyl)propane-1-sulfonic acid Chemical compound C[Si](C)(C)CCCS(O)(=O)=O TVZRAEYQIKYCPH-UHFFFAOYSA-N 0.000 description 1
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Abstract
The present invention provides a kind of transformer specialized maintenance total management system, including data management module, state evaluation module, failure analysis module, user management module, service management module, information display module；Data management module includes overhaul data acquisition module, data processing module, data memory module；State evaluation module reads the data that data memory module is stored and carries out state evaluation, including single part evaluation module, overall evaluation module, Strategies of Maintenance module；Failure analysis module includes data normalization module, fault diagnosis module, diagnostic result display module.The present invention can identify the failure Early manifestation at each position of transformer, provide guidance for administrative staff in time, provide preventative maintenance strategy；The state evaluation result of each part can be integrated, provides overall state evaluation result, administrative staff can be helped to make rational preventative maintenance measurement；Accurate transformer fault diagnosis result can be provided.
Description
Technical field
The present invention relates to power system transformer service technique field, and in particular to a kind of specialized inspection of transformer state
Repair total management system.
Background technology
Condition Assessment for Power Transformer is the basis of repair based on condition of component, and the key of assessment is to obtain non-demolition according to prophylactic tria
Property amount, establishes rational state indices evaluation model, to judge the running status of transformer.At present, domestic and international related electric power
The research of Transformer State Assessment oneself through achieving some achievements, common are, with fuzzy learning vector quantization network transformer
State estimation DSS, data will be blurred grader and are divided into different subclasses, right in order to improve the accuracy of assessment
Giveed training respectively with fuzzy learning vector quantization network in each class, its effect fuzzy diagnosis and neutral net better than before.
But generally diagnostic result is limited by the factor such as selection of the scale of Sample Storehouse, neural network algorithm, Fuzzy Classifier, not really
Qualitative factor is excessive, it is impossible to provides accurately diagnosis, evaluation result.
Another method is to carry out Condition assessment of insulation to transformer from the angle of engineering practice, and the evaluation index includes：
Solids content, oil degradation degree, shelf depreciation grade in Water in oil amount, oil, mechanical strength and insulating surface pollution degree etc., and
Common transformer disabler model is summarized, but these failure models do not possess general applicability, can not popularize in an all-round way
To each voltage class.
Also by comprehensive analysis transformer the methods of matter-element theory, fuzzy comprehensive evoluation, Bayesian network, theoretical ash leather
Health status is run, reaches the purpose of its state estimation.Current each evaluation method is qualitative evaluation, without being generally applicable
Property, assessment result is inaccurate.
Current transformer fault diagnosis system be concentrated mainly on diagnosis whether faulty and failure judgement, and at what
Failure caused by place and what reason.But transformer not break down or failure symptom it is unconspicuous when, diagnosis system
System can not find latent fault in time.If we can preferably predict (reflection) transformer shape by some Forecasting Methodologies
The development trend of state index, it can will in advance grasp the situation of equipment current state.But become due to existing during engineer applied
The problems such as depressor valid data amount deficiency, non-linear strong, the non-structural data of characteristic increase and data class is various, causes
Existing data processing method can not directly be effectively treated, analyze, so as to cause existing state evaluation system not make
With.
The content of the invention
The present invention provides a kind of transformer specialized maintenance total management system, by the history for collecting, handling transformer
Data and live inspection data, classification analysis is carried out, so as to identify the Early manifestation of each position failure of transformer, provides prevention
Property Strategies of Maintenance, to solve technical problem present in above-mentioned background technology.
The technical solution adopted in the present invention is as follows：
The specialized maintenance total management system of transformer, including data management module, state evaluation module, accident analysis mould
Block, user management module, service management module, information display module；
Described data management module, including：The establishment of item module of Awaiting Overhaul transformer essential information is created, obtains and becomes
The overhaul data acquisition module of depressor status information, uniform format, analysis, the data processing mould of cleaning are carried out to overhaul data
Block, data memory module；
Described state evaluation module reads the data that data memory module is stored and carries out state evaluation, including：To becoming
Each part of depressor provides the single part evaluation module of single state evaluation, provides the overall evaluation of transformer overall evaluation result
Module, corresponding Strategies of Maintenance and the Strategies of Maintenance module for being shown Strategies of Maintenance are provided according to evaluation result；
Described failure analysis module, including：Data acquired in described overhaul data acquisition module are subjected to normalizing
Change the data normalization module of processing, fault diagnosis module, diagnostic result display module.
Further, described overhaul data acquisition module is to each part design value of transformer, delivery test data, handing-over
Test data, inspection data, repair history data, essential information are obtained.Described data processing module uses SQL data
Storehouse, all numerical value all change into floating number, the time carries out uniform format to overhaul data；Using the function in database and divide
Analysis program is analyzed overhaul data；Overhaul data is cleaned, carried out for missing, invalid data with numeral 0
Replace, it is ensured that the integrality of all data.Described data memory module is used for the maintenance handled by data storage processing module
Data.
Further, transformer is divided into different parts by described single part evaluation module, including：Transformer body,
Sleeve pipe, load ratio bridging switch, cooling system, non-ionizing energy loss system, on-line monitoring system；By weight of each part in transformer
Want degree to give different weights and weights, be divided into different brackets by state evaluation score, each grade provides different maintenance
Strategy, and its order of severity is shown in bar graph form；Described overall evaluation module, the state evaluation according to each part
As a result, weight of each part in entirety, transformer overall evaluation result is provided；Described Strategies of Maintenance module, displaying maintenance
The similar Strategies of Maintenance case stored in database is also shown while tactful.
Further, the specific side that different weights and weights are given by significance level of each part in transformer
Method is：According to the testing result of each part, pass through mathematical formulae：State evaluation score=basic deduction of points value × weight coefficient,
Obtain the state evaluation score of transformer single part, wherein, basic deduction of points value press the severity level of part testing result according to
Secondary is 2,4,8,10, and weight coefficient, to transformer health effect degree, is followed successively by 1,2,3,4 by the part；Described presses state
Evaluation result score is divided into different brackets, is specifically divided into：Normally, pay attention to, be abnormal, serious four grades；It is described each etc.
Level provides different Strategies of Maintenance, specifically includes：Pay attention to：Delay to overhaul, it is abnormal：Overhaul as early as possible, seriously：Overhaul immediately；It is described
Overall evaluation module provide the specific method of transformer overall evaluation result and be：When all parts are normal, transformer
It is overall normal；When either component state is attention, exception, menace level, the overall evaluation of transformer takes the grade of most serious.
Further, described data normalization module is become data between 0~1 using mathematical modeling to overhaul data
Data, Hilbert Huang Wavelet Transformation Algorithm is recycled to carry out handling cancelling noise data, then by the data transfer after processing
To fault diagnosis module, recognizable data are provided for neural network learning；Described fault diagnosis module utilizes neutral net
Algorithm and genetic algorithm are learnt, analyzed, and identify tentative diagnosis result, then are compared with experts database, final to be paid a home visit
Disconnected result；Diagnostic result is showed administrative staff by described diagnostic result display module in bar graph form, is shown simultaneously
Similar maintenance diagnostic result case.
Further, described user management module includes：User login validation module, user authority management module, user
Registration management module；Described service management module includes：Inspection flow management and control module, maintenance service management and control module, server
Function monitor module；Described information display module includes：Essential information display module, for being overhauled with curve form displaying
Transformer fault statistics result Drawing of Curve module, in the form of report export transformer state evaluation result, therefore
Hinder diagnostic result, the report print module of overhaul data.
Beneficial effects of the present invention：
1) present invention can identify the failure Early manifestation at each position of transformer, provide guidance in time for administrative staff,
Provide preventative maintenance strategy；
2) present invention can integrate the state evaluation result of each part, provide overall state evaluation result, can help to manage
Reason personnel can make rational preventative maintenance measurement；
3) present invention can provide accurate transformer fault diagnosis result.
Brief description of the drawings
Fig. 1 is the functional block diagram of the specialized maintenance total management system of transformer；
Fig. 2 is the flow chart of the fault diagnosis module of the present invention.
Embodiment
Below in conjunction with the accompanying drawings, embodiments of the present invention are illustrated.
The specialized maintenance total management system of transformer of the present invention, is opened based on ASP.NET environment using C# language
Hair design, towards more transformer specialization overhaul managements of transformer station, mainly realizes Repair of Transformer data storage, management, shape
The functions such as state evaluation, fault diagnosis, maintenance BPM.
As shown in figure 1, be the functional block diagram of the specialized maintenance total management system of transformer, including：User management module,
Data management module, state evaluation module, failure analysis module, service management module, information display module.
User management module, including user login validation module, user authority management module, user's registration management module.
User login validation module realizes that user logs in authentication and user's mandate, user authority management module to different levels demand
User distributes the management of different operation authority, the realization of user's registration management module to user profile.
Data management module, including establishment of item module, overhaul data acquisition module, data processing module, data storage
Module.Threshold value is first depending on to clean the data of storage, count, analyze, then by the data and statistical result after cleaning
Preserved according still further to unified form to database, final other functional modules for system provide the data of specification.Other data are deposited
Storage module is also equipped with tables of data establishment, data insertion, inquiry, renewal and deleted, and the redundancy backup of data.
State evaluation module reads the data that data memory module is stored and carries out state evaluation, including single part state is commented
Valency module, overall evaluation module, Strategies of Maintenance module.Single part state evaluation module, which according to each part of transformer sort out, divides
Analysis, testing result correlation is not strong between solving the problems, such as each part, makes the testing result between each part interrelated,
The problem of inside transformer is potential can be found in time, estimate the failure of transformer.Pass through Its Relevant Technology Standards, part design value
And delivery test data, compared with present detection data, state evaluation result is provided, for example pass through oil colours modal data
Improve three-ratio method, it can be determined that internal transformer has been likely to occur those failures, provides guidance for administrative staff in time, provides
Preventative maintenance strategy；If evaluation result is poor, i.e., detect data area and technical stipulation value, notice pipe more than delivery test
Reason personnel take appropriate measures, if it is excessive to go beyond the scope, interruption maintenance, and carry out part replacement；If without departing from threshold value model
Enclose but do not influence operation and use, then paid close attention to, monitoring.During specific evaluation, mostly in reference to existing standard, OK
Industry state evaluation directive/guide is judged, and when each standard is inconsistent, takes most harsh threshold value regular as judging.Overall evaluation mould
The overall safe condition of block comprehensive evaluation transformer, according to standing state assessment guidelines, the state of each part presses different power
Weight values, the transformer overall evaluation is provided in the form of marking, score is lower, and explanation transformer is more unhealthy, it is necessary to the overhaul that has a power failure
Probability is higher.Strategies of Maintenance module provides corresponding comprehensive Strategies of Maintenance or repair schedule according to evaluation situation, including：Contracting
Short polling period, time limit interruption maintenance, interruption maintenance, time limit have a power failure and change, have a power failure immediately and change, return factory's overhaul immediately.Meanwhile
The similar maintenance case stored in database is also shown, be easy to transformer administrative staff make more science, rationally, have
The decision-making of effect, avoid improving the service life of transformer.
As shown in Fig. 2 it is the flow chart of fault diagnosis module.Failure analysis module, including data normalization, failure are examined
Disconnected, diagnostic result shows three function sub-modules.Described data normalization module is by inspection data, standard value, test data
It is normalized, recycles Hilbert Huang Wavelet Transformation Algorithm to be handled, then the data after processing are transferred to
Fault diagnosis module is learnt using neural network algorithm and genetic algorithm, analyzed, then by diagnostic result display module
Expert system storehouse diagnostic result is provided to result, finally predict each part of transformer, the problem of body there may be
With the weak spot and failure of transformer, and the defects of there may be for transformer, showed in the form of form and bar chart
Administrative staff.Meanwhile also show similar maintenance case, it is easy to managerial decision making.
Service management module, current each business progress is monitored, be easy to administrative staff to check that current business carries out situation.Including
Inspection flow management and control module, maintenance service management and control module, server monitoring module.It is main realize transformer inspection operation flow,
The management and control of the information such as maintenance service flow progress, instrument, maintainer.Server monitoring module, realizes database server
Can monitoring.When transformer needs to reprocess, this module can be used for management and control transformer body to repair, part replacement process.
Information display module, including：Essential information display module, for showing the transformer of all maintenance with curve form
Fault statistics result Drawing of Curve module, the state evaluation result of transformer, fault diagnosis knot are exported in the form of report
Fruit, the report print module of overhaul data.
Claims (6)
1. the specialized maintenance total management system of transformer, it is characterised in that including data management module, state evaluation module,
Failure analysis module, user management module, service management module, information display module；
Described data management module, including：The establishment of item module of Awaiting Overhaul transformer essential information is created, obtains transformer
The overhaul data acquisition module of status information, uniform format, analysis, the data processing module of cleaning, number are carried out to overhaul data
According to memory module；
Described state evaluation module reads the data that data memory module is stored and carries out state evaluation, including：To transformer
Each part provides the single part evaluation module of independent state evaluation, provides the overall evaluation module of transformer overall evaluation result,
Corresponding Strategies of Maintenance and the Strategies of Maintenance module for being shown Strategies of Maintenance are provided according to evaluation result；
Described failure analysis module, including：Place is normalized in data acquired in described overhaul data acquisition module
The data normalization module of reason, fault diagnosis module, diagnostic result display module.
2. the specialized maintenance total management system of transformer according to claim 1, it is characterised in that described maintenance number
According to acquisition module to each part design value of transformer, delivery test data, commissioning test data, inspection data, repair history
Data, essential information are obtained；
Described data processing module is using SQL database, all numerical value all changes into floating number, the time enters to overhaul data
Row format is unified；Overhaul data is analyzed using the function in database and analysis program；Overhaul data is cleaned,
It is replaced for missing, invalid data numeral 0；
Described data memory module is used for the overhaul data handled by data storage processing module.
3. the specialized maintenance total management system of transformer according to claim 1, it is characterised in that described single part
Transformer is divided into different parts by evaluation module, including：Transformer body, sleeve pipe, load ratio bridging switch, cooling system,
Non-ionizing energy loss system, on-line monitoring system；Different weights and weights are given by significance level of each part in transformer,
Different brackets is divided into by state evaluation score, each grade provides different Strategies of Maintenance, and shows in bar graph form
Its order of severity；
Described overall evaluation module, the weight of state evaluation result, each part in entirety according to each part, provides transformation
Device overall evaluation result；
Described Strategies of Maintenance module, the similar Strategies of Maintenance case stored in database is also opened up while showing Strategies of Maintenance
Show to come.
4. the specialized maintenance total management system of transformer according to claim 3, it is characterised in that described presses each portion
Significance level of the part in transformer gives different weights and the specific method of weights：Detection knot according to each part
Fruit, pass through mathematical formulae：State evaluation score=basic deduction of points value × weight coefficient, obtains the state evaluation of transformer single part
Score, wherein, basic deduction of points value is followed successively by 2,4,8,10 by the severity level of part testing result, and weight coefficient presses the portion
Part is followed successively by 1,2,3,4 to transformer health effect degree；
Described is divided into different brackets by state evaluation result score, is specifically divided into：Normally, pay attention to, be abnormal, serious four
Grade；
Described each grade provides different Strategies of Maintenance, specifically includes：Pay attention to：Delay to overhaul, it is abnormal：Overhaul as early as possible, seriously：
Overhaul immediately；
The specific method that described overall evaluation module provides transformer overall evaluation result is：When all parts are normal
When, transformer is integrally normal；When either component state is attention, exception, menace level, the overall evaluation of transformer takes most tight
The grade of weight.
5. the specialized maintenance total management system of transformer according to claim 1, it is characterised in that described data are returned
One change module uses mathematical modeling that data are become to the data between 0~1 to overhaul data, recycles Hilbert Huang small echo to become
Scaling method is carried out handling cancelling noise data, then the data after processing are transferred into fault diagnosis module；
Described fault diagnosis module is learnt using neural network algorithm and genetic algorithm, analyzed, and identifies tentative diagnosis
As a result, then with experts database it is compared, finally provides diagnostic result；
Diagnostic result is showed administrative staff by described diagnostic result display module in bar graph form, while is shown similar
Maintenance diagnostic result case.
6. the specialized maintenance total management system of transformer according to claim any one of 1-5, it is characterised in that institute
The user management module stated includes：User login validation module, user authority management module, user's registration management module；
Described service management module includes：Inspection flow management and control module, maintenance service management and control module, server capability monitoring mould
Block；
Described information display module includes：Essential information display module, for showing overhauled transformer with curve form
Fault statistics result Drawing of Curve module, the state evaluation result of transformer, fault diagnosis knot are exported in the form of report
Fruit, the report print module of overhaul data.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108038624A (en) * | 2017-12-26 | 2018-05-15 | 北京金风科创风电设备有限公司 | Method and device for analyzing health state of wind turbine generator |
| CN108628231A (en) * | 2018-07-05 | 2018-10-09 | 郑州云海信息技术有限公司 | Apparatus monitoring method and device in cloud data center |
| CN108776804A (en) * | 2018-04-24 | 2018-11-09 | 山东电力设备有限公司 | A kind of transformer specialization repair method based on portable terminal |
| CN109102171A (en) * | 2018-07-24 | 2018-12-28 | 上海欣影电力科技股份有限公司 | A kind of substation equipment condition intelligent evaluation system and method based on big data |
| CN109270200A (en) * | 2018-10-31 | 2019-01-25 | 国网山东省电力公司电力科学研究院 | A kind of evaluation method and device based on test with on-line monitoring oil colours modal data |
| CN110362724A (en) * | 2019-07-23 | 2019-10-22 | 国家卫星海洋应用中心 | A kind of data filtering method, device, electronic equipment and readable storage medium storing program for executing |
| CN112561736A (en) * | 2020-12-23 | 2021-03-26 | 四川轻化工大学 | Fault diagnosis system and method for relay protection device of intelligent substation |
| CN113960495A (en) * | 2021-09-06 | 2022-01-21 | 中国大唐集团科学技术研究院有限公司火力发电技术研究院 | High-voltage cable state information management and analysis system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108038624A (en) * | 2017-12-26 | 2018-05-15 | 北京金风科创风电设备有限公司 | Method and device for analyzing health state of wind turbine generator |
| CN108776804A (en) * | 2018-04-24 | 2018-11-09 | 山东电力设备有限公司 | A kind of transformer specialization repair method based on portable terminal |
| CN108628231A (en) * | 2018-07-05 | 2018-10-09 | 郑州云海信息技术有限公司 | Apparatus monitoring method and device in cloud data center |
| CN109102171A (en) * | 2018-07-24 | 2018-12-28 | 上海欣影电力科技股份有限公司 | A kind of substation equipment condition intelligent evaluation system and method based on big data |
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| CN112561736A (en) * | 2020-12-23 | 2021-03-26 | 四川轻化工大学 | Fault diagnosis system and method for relay protection device of intelligent substation |
| CN113960495A (en) * | 2021-09-06 | 2022-01-21 | 中国大唐集团科学技术研究院有限公司火力发电技术研究院 | High-voltage cable state information management and analysis system |
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