CN107450428A - A kind of main transformer oil level method for real-time monitoring equivalent based on translation - Google Patents
A kind of main transformer oil level method for real-time monitoring equivalent based on translation Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
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Abstract
A kind of main transformer oil level method for real-time monitoring equivalent based on translation is claimed in the present invention, belongs to video monitoring and Substation Automation System field.The main transformer equipment oil temperature of nearest 30 days, oil level measured data are obtained first, and oiling curve is determined further according to live main transformer running environment;Then oiling curve is translated so that be each passed through 30 days measured data points, obtain 30 days measured data oil level equivalent straight lines, and calculate 30 days equivalent oil level values at a set temperature;It is that dependent variable carries out linear fit using the time as independent variable, equivalent oil level value, determines the fitting a straight line function and slope of time and oil level;Slope is judged, obtains the oil condition of main transformer, completes monitoring in real time.The present invention adjusts oil temperature oil level relation, oil temperature oil level relationship change is unified under same standard by combining main transformer actual motion environment temperature, dynamic, the error after reduction is equivalent between oil level value, ensures result accurately and reliably.
Description
Technical field
The present invention relates to video monitoring and Substation Automation System field, more particularly to a kind of master equivalent based on translation
Transformer oil level method for real-time monitoring.
Background technology
Power transformer is one of power transmission and transforming equipment important in power system, multiple voltage class is connected, in power network
In hinge status, its security reliability run directly affects the safe for operation of power network, and the operation for improving power transformer can
By property, the safe and reliable operation tool of whole power network is of great significance.Therefore, in the process of running to transformer state
Accurate evaluation, be the basis for finding transformer incipient fault early, and the important leverage of safe operation of power system.
For a long time, power system mainly passes through periodic maintenance, to ensure the general level of the health of transformer and good fortune
The judgement of row situation.Mainly include the related contents such as preventive trial, overhaul, light maintenance.The power industry standard in China《Electric power is set
Standby preventive trial code》With《Repair of Transformer directive/guide》" transformer of 110kV and above puts into operation to be carried out in year regulation
Overhaul once, later per must next year carry out an overhaul, carries out a light maintenance every year." under this management system, no matter become
How is the state of depressor, must just be overhauled to the stipulated time.The transformer that often resulting in overhaul is carried out need not
The maintenance wanted, maintenance even more exchange device of stopping transport just is carried out when not yet defect occurs for equipment, will necessarily cause human and material resources and
The huge waste of financial resources.Simultaneously also there is certain " maintenance is insufficient " in current periodic maintenance system, due to test method,
The problems such as test voltage grade, make defect undiscovered, or because maintenance task is overweight, is pressed for time, cause what should be repaired
Transformer is not repaired, and causes to break down during transformer station high-voltage side bus and cause the heavy losses of power system and national economy.Cause
This, establishes pre-emptive maintenace system, goes to " need to repair and just repair, it is required good to repair ", is the certainty of current power Repair of Transformer mode
Development trend.
Transformer oil seepage phenomena is commonplace, and oil level within the limits prescribed, may continue to run or arrange
Scheduled overhaul.But transformer oil seepage is serious, or it is continuously constantly excessive from breakage, cause transformer oil surface too low, make set
Pipe lead and shunting switch are exposed in air, and dielectric level will substantially reduce, therefore easily cause disruptive discharge, cause to produce thing
Therefore.
The method of equal effect is translated by analyzing oil temperature on main transformer nameplate-oil level relation curve, with reference to the actual oiling feelings in scene
Condition (because live oiling it is lack of standardization can caused by oil temperature-oil level eyeball whole departure standard oiling curve), using translation standard note
The method of oily curve, ensure that each oil temperature-oil level measured data is in same variation tendency, recycle each point on straight line equivalent each other
Principle, the equivalence value that oil level value is converted under identical oil temperature under different oil temperatures is gone to analyze, using judging that it is straight that equivalent oil level is fitted
The mode of line slope reaches the purpose that main transformer oil level monitors in real time.
The method overcome tour personnel be difficult to from oil level directly judge machine operation the shortcomings that, it is direct by analyzing
The current oil level state trend situation of main transformer is provided, and before major defect occurs in main transformer, provides and safeguards prompt message.
The content of the invention
Present invention seek to address that above problem of the prior art.Propose one kind and effectively improve fortune inspection person works' efficiency,
Reduce production accident probability of happening, overcome that conventional leakage of oil malfunction elimination mode is single, cost of labor input is excessive, finds failure
The main transformer oil level method for real-time monitoring method equivalent based on translation not in time.Technical scheme is as follows:
A kind of main transformer oil level method for real-time monitoring equivalent based on translation, it comprises the following steps:1) obtain first
The a certain type main transformer equipment oil temperature of nearest n days, oil level measured data in transformer station, run further according to live main transformer
Environment determines oiling curve;2) then oiling curve is translated so that be each passed through n days measured data points, obtain n days realities
Data oil level equivalent straight line is surveyed, and calculates n days equivalent oil level values at a set temperature;3) using the time as independent variable, equivalent oil
Place value is that dependent variable carries out linear fit, determines the fitting a straight line function and slope of time and oil level;4) slope is judged,
The oil condition of main transformer is obtained, user receives result of determination, completes monitoring in real time.
Further, the n takes 30 days.
Further, the step 1) obtains the main transformer equipment oil temperature of nearest 30 days, oil level measured data is specifically wrapped
Include step:Oil temperature, the oil level instrument of the main transformer equipment of a certain type in selected transformer station, on the day of data acquisition, profit
With observing the optimal video camera of this position picture, the long-range cruising inspection system system of Multidimensional Comprehensive in the long-range cruising inspection system of Multidimensional Comprehensive
The high-definition digital video monitoring system that uses of digital transformer substation before system feeling the pulse with the finger-tip, determine the oil temperature, oil level instrument and video camera it
Between mapping relations, and the image intelligent analysis model (pattern analysis of the system is established in the long-range cruising inspection system of Multidimensional Comprehensive
Using deep learning method, after the view data of a kind of instrument is gathered, by carrying out analysis instruction to the reading of the type instrument
Practice, enable a computer to the numerical value of equipment instrument shown in automatic identification image), using every in the long-range cruising inspection system of Multidimensional Comprehensive
Day, customary make an inspection tour carried out grabgraf, the oil temperature of main transformer, oil level picture was converted into oil temperature, data are arrived in the storage of oil level measured data
In storehouse, the data of nearest 30 days before the same day are chosen in data acquisition altogether.
Further, the step 1) determines that oiling curve specifically includes further according to live main transformer running environment:From
Oil temperature-oil level graph of a relation that producer provides is obtained on main transformer nameplate, with reference to live main transformer operating ambient temperature, selection
One curve that can most reflect oil temperature oil level relationship change, and oiling curvilinear function expression formula is determined by characteristic value point.
Further, the step 2) is translated oiling curve so that is each passed through n days measured data points, is obtained n
Its measured data oil level equivalent straight line, and n days equivalent oil level values at a set temperature are calculated, specifically include step:From step
1) measured data on a certain date is randomly selected in, obtained oiling curve is passed through into linear translation so that survey by the day
Data point, obtain the measured data oil level equivalent straight line function expression on selected date;And calculate selected date actual measurement
The equivalent oil level value of oil level at a set temperature, and the equivalent oil level value being calculated is saved in database.
Further, the step 3) is that dependent variable carries out linear fit using the time as independent variable, equivalent oil level value, it is determined that
Time and the fitting a straight line function and slope of oil level, specifically include step:
The oil level equivalent straight line totally 30 of whole date measured datas will be obtained, by calculating, by record in step 1)
The main transformer oil temperature of 30 days-oil level measured data is converted to the equivalent oil level value at temperature set by step 3);
Be calculated 30 equivalent oil level values are arranged according to date sequencing, the 30th day is data acquisition
The same day;When making an inspection tour grabgraf Time Inconsistency daily, time scale is converted into corresponding ratio, after obtaining time scale conversion
Time and equivalent oil level value list in 30 days under design temperature;Will be per a line time data and corresponding equivalent in the list
Oil level Value Data merges into one group of data, totally 30 groups of data, using the time as independent variable, equivalent oil level value for dependent variable progress most
Small square law linear fit, determine the fitting a straight line function of time and oil level.
Further, the step 4) is judged slope, obtains the oil condition of main transformer, and user receives judgement
As a result, monitoring in real time is completed to specifically include:
The time remembered and the slope of oil level fitting a straight line function are a, define a section A, judge a value and area
Between A attaching relation;When a is within the A of section, then show the main transformer equipment normal operation;When a is not at section A
Within when, show the main transformer oil level variation abnormality;
When checking that main transformer makes an inspection tour record in the long-range cruising inspection system client of Multidimensional Comprehensive, client will judge user
Result interface is shown or user is informed in the measure such as sound and light alarm, completes the real-time monitoring to main transformer machine operation.
Further, the section A is [- 0.01,0.01].
Advantages of the present invention and have the beneficial effect that:
1st, the inventive method, do not limited by hardware, different video cameras, different types of monitoring unit can be integrated
Into the system, there is good compatibility.
2nd, the inventive method, advanced image intelligent analytical technology, each angle of slave unit, many-sided collection number are employed
According to the computing for being subject to complexity determines end value.
3rd, the inventive method, solve artificial and single equipment leakage oil breakdown judge mode in the past, propose it is a kind of with
Computer intelligence is judged as the solution dominated, manually assisted in identifying, and improves the efficiency of equipment-patrolling.
4th, the inventive method, each station equipment state can be conveniently browsed from main website, effectively reduces operation maintenance personnel and enter the station tour
Number, operating efficiency is improved, saved operating cost.
5th, the method that the inventive method establishes equipment oil level trend intellectual analysis, by way of linear fit, realize
The leakage of oil trend of main transformer is analyzed online, realizes that the early warning to leakage of oil defect judges in advance, prompts operation maintenance personnel to enter
Row equipment breakdown hidden troubles removing, improve equipment operational reliability.
6th, trend analysis of the invention carries historical query function, and corresponding equipment state can be browsed, side
Just inquire about afterwards.
The present invention, using translation equivalent way, oil level historical data is scaled to by the analysis to oil level historical data
Analyzed under the conditions of same temperature, the practical operation situation of oil level is calculated by trend analysis, reduce transformer station's manual patrol
Frequency, reduce O&M cost.
Brief description of the drawings
Fig. 1 is the FB(flow block) that the present invention provides preferred embodiment method.
Fig. 2 is the main transformer oil temperature and oil level graph of relation that transformer manufacturers provide in the embodiment of the present invention.
Fig. 3 is measured data oil level equivalent straight line schematic diagram on July 27 in the embodiment of the present invention.
Fig. 4 is 30 days measured data oil level equivalent straight line schematic diagrames in the embodiment of the present invention.
Fig. 5 is time and oil level fitting a straight line schematic diagram in the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, detailed
Carefully describe.Described embodiment is only the part of the embodiment of the present invention.
The present invention solve above-mentioned technical problem technical scheme be:
The present embodiment chooses State Grid Corporation of China's Chongqing Branch 110kV transformer station #3 main transformer 7-9 month oil temperatures, oil
Data (totally 30 days) are maked an inspection tour in position.
1) oil temperature, the oil level instrument of main transformer (hereinafter referred to as main transformer) equipment in transformer station are selected, utilization is existing
The optimal video camera of this position picture is observed in the long-range cruising inspection system of Multidimensional Comprehensive (to count before the long-range cruising inspection system feeling the pulse with the finger-tip of Multidimensional Comprehensive
The high-definition digital video monitoring system that word transformer station uses, with automatic inspection function), determine the oil temperature, oil level instrument with
Mapping relations between video camera, and image intelligent analysis model is established in the long-range cruising inspection system of Multidimensional Comprehensive, utilize multidimensional
Daily customary make an inspection tour carries out grabgraf in comprehensive long-range cruising inspection system, main transformer oil, oil level picture is converted into oil temperature, oil level is surveyed
In data Cun Chudao databases, as shown in table 1:
The main transformer oil of table 1, oil level real time picture conversion measured data table
In table 1, it is respectively daily customary tour grabgraf in the long-range cruising inspection system of Multidimensional Comprehensive to make an inspection tour date and tour time
Date and time;Main transformer oil and body oil level are respectively that daily customary grabgraf of making an inspection tour is changed by image intelligent analysis model
Oil temperature and oil level data afterwards, unit are represented with degree Celsius with percentage respectively.
2) oil temperature-oil level graph of a relation that producer provides is obtained from main transformer nameplate, as shown in Figure 2 (abscissa T generations in Fig. 2
Table main transformer oil temperature, ordinate H represent main transformer oil level, main transformer pressure when curve 1 represents -30 DEG C of regional minimum temperature throughout the year
Device oiling curve;Main transformer oiling curve when curve 2 represents -20 DEG C of regional minimum temperature throughout the year;Curve 3 represents regional long-term
Main transformer oiling curve during -10 DEG C of minimum temperature;Oil level value under different oil temperatures can accurately be estimated by curve, can be accurate
Reflect the variation relation of oil temperature oil level), because the main transformer is located at Chongqing City Jiangjin District, China Meteorological network data shows that Chongqing City is normal
The annual lowest temperature is higher than -10 degrees Celsius, therefore the main transformer uses curve 3 to carry out oiling for standard oiling curve, according to Fig. 2
Know two characteristic points (- 10,0) and (90,90) on curve 3, determine that the function expression of curve 3 is:
Y=0.9X+9 (1)
In formula, Y is dependent variable, represents oil level;X is independent variable, represents oil temperature;0.9 and 9 be constant, represents that this is straight respectively
The slope and intercept of line.
3) measured data of a certain day is randomly selected from step 1), the present embodiment have chosen 12 minutes July 27 day 13 point
Data (customary frequency of making an inspection tour is usually set to once a day in video monitoring system, therefore one day only includes one group of data), will be walked
Rapid 2) the middle standard oiling curve determined, by linear translation so that curve passes through step 1) in oil temperature-oil level two-dimensional coordinate
Middle oil temperature on July 27-oil level measured data point, finally according to the standard oiling slope of curve 0.9 and oil temperature-oil level eyeball
(45.2077,63.7024) (survey point data) as shown in Table 1, it is determined that the equivalent straight line function expression after translation:
Y=0.9X+23.01547 (2)
In formula, Y is dependent variable, represents oil level;X is independent variable, represents oil temperature;0.9 and 23.01547 be constant, respectively table
Show the slope and intercept of measured data oil level equivalent straight line on July 27.
In Fig. 3, according to the principle equivalent each other of each point on straight line, calculate and surveyed oil level on July 27 in 20 degrees Celsius of oil
The equivalence value of (20 degrees Celsius herein are the long-term mean temperature in Chongqing region) is 41.01547 under temperature.
4) repeat step 3), the equivalent fitting a straight line of oil level totally 30 of 30 days measured datas is obtained, by calculating, by step
1) the equivalent oil level value that the main transformer oil temperature of 30 days-oil level measured data of record is converted under 20 degrees Celsius in is (actual
During operation, the time takes the data of nearest 30 days before the day before yesterday, and so as to ensure fitting precision, data volume can cause fitting to miss less
Difference, data volume conference cause to calculate complexity;Data acquisition was September 4 when the day before yesterday in the embodiment of the present invention), and will calculate
To all equivalence values be saved in database;The equivalent fitting a straight line schematic diagram of oil level of 30 days measured datas (is schemed as shown in Figure 4
4, to make the schematic diagram of equivalent straight line with each eyeball by translating standard oiling curve, bevel in 30 days are only embodied in figure
Straight line Y1 and intercept away from maximum minimum straight line Y2 totally two straight lines, lower envelope on composition, other straight lines are in Y1 and Y2 institutes
Comprising within the scope of).
5) it is the equivalent oil level value under in be calculated in step 4) 30 days 20 degrees Celsius is suitable according to the priority of 1-30 days
Sequence is arranged, and the 30th day is that data acquisition was worked as the day before yesterday and (is September 4) in the present embodiment, when daily tour time is inconsistent,
Need time scale being converted into corresponding ratio, it is first determined the daily timed patrol time, if first day automatic tour time is
Scale 0,1 day was divided equally with 24 hours, 30 timesharing when tour time is less than x, when taking x, 31 timesharing during more than or equal to x, take x+1
When, such as July 26, tour time 19 was divided when being 19 in table 1, and automatic tour time be 13 points 12 minutes, conversion can be calculated
Time afterwards is
Equivalent oil level value table under 2 20 degrees Celsius of oil temperatures of table
Table 2 is the equivalent oil level value table in 30 days under 20 degrees Celsius of oil temperatures after time scale converts, and is carved by the above-mentioned time
Degree conversion method is changed tour time in table 1, and changes main transformer oil as unified 20 degrees Celsius, by main transformer body oil
Position is substituted with the equivalent oil level value being calculated under 20 degrees Celsius of oil temperatures.
Every a line time data and equivalent oil level Value Data in table 2 are merged into one group of data, totally 30 groups of data, with the time
The carry out least-squares algorithm linear fitting for being dependent variable H for independent variable T, equivalent oil level value, determines that the fitting of time and oil level is straight
Line function, as shown in formula (3):
H=0.004717T+40.91 (3)
In formula, H is dependent variable, represents equivalent oil level value, and T is independent variable, represents the time, 0.004717 and 45.91 be normal
Number, time and the slope and intercept of oil level fitting a straight line are represented respectively;Time and schematic diagram such as Fig. 5 of oil level fitting fitting a straight line
It is shown that (Fig. 5 is that the data in table 2 use the result after least-squares algorithm linear fitting, and each data point in Fig. 5 is by table 2
In be merged into representative data point after one group of data per a line time data and equivalent oil level Value Data, totally 30 groups;Fig. 5 is shown
Each group of data point and fitting a straight line distribution situation, under normal circumstances each group of data point should be symmetrically distributed in fitting a straight line both sides).
6) time shown in modus ponens (3) and the slope 0.004717 of oil level fitting a straight line function, one section A of definition [-
0.01,0.01] (got the bid to be fitted the scope determined under multiple normal condition after oil level change curve for conventional scheme in the section
Quasi- span), judge the attaching relation of 0.004717 value and section A, draw main transformer equipment oil condition;In the present embodiment,
Determine that 0.004717 is within the A of section, then show the main transformer equipment normal operation.
When the slope of the time shown in formula (3) and oil level fitting a straight line function are not within the A of section, show the main transformer
Depressor oil level variation abnormality, user can be entered in the long-range cruising inspection system client of Multidimensional Comprehensive by oil level change histories curve
Row assistant identification, when curvilinear motion is normal, then judge equipment normal operation, during curvilinear motion exception, confirm leakage of oil therefore
Barrier occurs and arranges personnel to be overhauled;
7) user can check tour record in the long-range cruising inspection system client of Multidimensional Comprehensive, and client is with broken line diagram form
Show main transformer actual measurement oil temperature, oil level data situation, and according to result of determination in step 6), on the client with software pop-up
Form informs the running situation of user's main transformer equipment, so as to provide main transformer of transformer substation oil level abnormal auxiliary judgment, completes
Monitoring in real time.
The above embodiment is interpreted as being merely to illustrate the present invention rather than limited the scope of the invention.
After the content for having read the record of the present invention, technical staff can make various changes or modifications to the present invention, these equivalent changes
Change and modification equally falls into the scope of the claims in the present invention.
Claims (8)
1. a kind of main transformer oil level method for real-time monitoring equivalent based on translation, it is characterised in that comprise the following steps:1) it is first
The a certain type main transformer equipment oil temperature of nearest n days, oil level measured data in transformer station are first obtained, further according to live main transformer pressure
Device running environment determines oiling curve;2) then oiling curve is translated so that be each passed through n days measured data points, obtain
To n days measured data oil level equivalent straight lines, and calculate n days equivalent oil level values at a set temperature;3) using the time as independent variable,
Equivalent oil level value is that dependent variable carries out linear fit, determines the fitting a straight line function and slope of time and oil level;4) slope is entered
Row judges, obtains the oil condition of main transformer, and user receives result of determination, completes monitoring in real time.
2. the main transformer oil level method for real-time monitoring equivalent based on translation according to claim 1, it is characterised in that institute
N is stated to take 30 days.
3. the main transformer oil level method for real-time monitoring equivalent based on translation according to claim 2, it is characterised in that institute
State step 1) the acquisition main transformer equipment oil temperature of nearest 30 days, oil level measured data specifically includes step:In selected transformer station
Oil temperature, the oil level instrument of one main transformer equipment, on the day of data acquisition, using being seen in the long-range cruising inspection system of Multidimensional Comprehensive
Examine the optimal video camera of this position picture, the height that digital transformer substation uses before the long-range cruising inspection system system feeling the pulse with the finger-tip of Multidimensional Comprehensive
Clear digital video monitor system, the mapping relations between the oil temperature, oil level instrument and video camera are determined, and it is remote in Multidimensional Comprehensive
Image intelligent analysis model is established in journey cruising inspection system, pattern analysis uses deep learning method, is gathering the figure of a kind of instrument
As after data, by carrying out analyzing and training to the reading of the type instrument, enabling a computer to set shown in automatic identification image
The numerical value of standby instrument;Carry out grabgraf using daily customary make an inspection tour in the long-range cruising inspection system of Multidimensional Comprehensive, by the oil temperature of main transformer,
Oil level picture is converted to oil temperature, the storage of oil level measured data into database, used time of data analysis generally from
Analyze data of the same day forward not less than 30 days.
4. the main transformer oil level method for real-time monitoring equivalent based on translation according to claim 3, it is characterised in that institute
State step 1) and determine that oiling curve specifically includes further according to live main transformer running environment:Factory is obtained from main transformer nameplate
Oil temperature-oil level graph of a relation that family provides, with reference to live main transformer operating ambient temperature, oil temperature oil level can most be reflected by selecting one
The curve of relationship change, and oiling curvilinear function expression formula is determined by characteristic value point.
5. the main transformer oil level method for real-time monitoring equivalent based on translation according to claim 4, it is characterised in that institute
State step 2) to be translated oiling curve so that be each passed through n days measured data points, it is equivalent to obtain n days measured data oil levels
Straight line, and n days equivalent oil level values at a set temperature are calculated, specifically include step:A certain day is randomly selected from step 1)
The measured data of phase, obtained oiling curve is passed through into linear translation so that by this day measured data point, obtain selected day
The measured data oil level equivalent straight line function expression of phase;And calculate selected date actual measurement oil level at a set temperature etc.
Oil level value is imitated, and the equivalent oil level value being calculated is saved in database.
6. the main transformer oil level method for real-time monitoring equivalent based on translation according to claim 5, it is characterised in that institute
It is that dependent variable carries out linear fit that step 3), which is stated, using the time as independent variable, equivalent oil level value, determines that the fitting of time and oil level is straight
Line function and slope, specifically include step:
The oil level equivalent straight line totally 30 of whole date measured datas will be obtained, by calculating, by the main transformer of record in step 1)
The depressor oil temperature of 30 days-oil level measured data is converted to the equivalent oil level value at temperature set by step 3);
Be calculated 30 equivalent oil level values are arranged according to date sequencing, the 30th day is working as data acquisition
My god;When making an inspection tour grabgraf Time Inconsistency daily, time scale is converted into corresponding ratio, obtained after time scale conversion 30 days
Time and equivalent oil level value list under interior design temperature;By every a line time data and corresponding equivalent oil level in the list
Value Data merges into one group of data, totally 30 groups of data, using a progress most young waiter in a wineshop or an inn of the time as independent variable, equivalent oil level value for dependent variable
Multiplication linear fit, determine the fitting a straight line function of time and oil level.
7. the main transformer oil level method for real-time monitoring equivalent based on translation according to claim 6, it is characterised in that institute
State step 4) to judge slope, obtain the oil condition of main transformer, user receives result of determination, completes monitoring tool in real time
Body includes:
The time remembered and the slope of oil level fitting a straight line function are a, define a section A, judge a value and section A
Attaching relation;When a is within the A of section, then show the main transformer equipment normal operation;When a is not within the A of section
When, show the main transformer oil level variation abnormality;
For user when checking that main transformer makes an inspection tour record in the long-range cruising inspection system client of Multidimensional Comprehensive, client is by result of determination
User is informed in the measure such as interface display or sound and light alarm, completes the real-time monitoring to main transformer machine operation.
8. the main transformer oil level method for real-time monitoring equivalent based on translation according to claim 7, it is characterised in that institute
It is [- 0.01,0.01] to state section A.
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CN112461330A (en) * | 2020-11-02 | 2021-03-09 | 国网湖南省电力有限公司 | Oil level state judgment method and system for metal corrugated oil conservator transformer |
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102494737A (en) * | 2011-12-06 | 2012-06-13 | 余姚市供电局 | Oil level monitoring method and system of oil immersed type transformer |
CN103743452A (en) * | 2013-12-30 | 2014-04-23 | 合肥金星机电科技发展有限公司 | Non-contact liquid level measuring system |
CN103983324A (en) * | 2014-05-27 | 2014-08-13 | 上海置盟电力科技有限公司 | Transformer oil level testing method |
CN104914327A (en) * | 2015-05-06 | 2015-09-16 | 北京航空航天大学 | Transformer fault maintenance prediction method based on real-time monitoring information |
DE102014113470A1 (en) * | 2014-09-18 | 2016-03-24 | Maschinenfabrik Reinhausen Gmbh | Electric device with a housing filled with insulating oil and measuring device and method for monitoring such an electrical device |
CN106525194A (en) * | 2016-11-21 | 2017-03-22 | 北京殷图网联科技股份有限公司 | Main transformer oil level real-time monitoring method based on ultimate oil temperature equivalence method |
-
2017
- 2017-08-08 CN CN201710669458.XA patent/CN107450428A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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