CN106525194B - A kind of main transformer oil level method for real-time monitoring equivalent based on limit oil temperature - Google Patents
A kind of main transformer oil level method for real-time monitoring equivalent based on limit oil temperature Download PDFInfo
- Publication number
- CN106525194B CN106525194B CN201611039585.3A CN201611039585A CN106525194B CN 106525194 B CN106525194 B CN 106525194B CN 201611039585 A CN201611039585 A CN 201611039585A CN 106525194 B CN106525194 B CN 106525194B
- Authority
- CN
- China
- Prior art keywords
- oil level
- oil
- equivalent
- main transformer
- temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
- G01F23/22—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm by measuring physical variables, other than linear dimensions, pressure or weight, dependent on the level to be measured, e.g. by difference of heat transfer of steam or water
Landscapes
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Fluid Mechanics (AREA)
- General Physics & Mathematics (AREA)
- Housings And Mounting Of Transformers (AREA)
Abstract
A kind of main transformer oil level method for real-time monitoring equivalent based on limit oil temperature proposed by the present invention, belongs to video monitoring and Substation Automation System field.This method obtains the oil temperature of a main transformer equipment the last 30 days, oil level measured data first and carries out linear fit, obtains the oil level value under measured data oil temperature-oil level fitting a straight line function and 90 degrees Celsius of oil temperatures；Followed by oil level value under measured data and 90 degrees Celsius of oil temperatures, 30 days equivalent fitting a straight lines of measured data oil level are obtained, 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 determined, obtain the oil condition of main transformer, user receives judgement as a result, completing real time monitoring.The present invention reduces the error between equivalent rear oil level value, guarantees that result is accurate and reliable by combining actual conditions dynamic analysis oil temperature-oil level relationship.
Description
Technical field
The invention belongs to video monitorings and Substation Automation System field, in particular to a kind of equivalent based on limit oil temperature
Main transformer oil level method for real-time monitoring.
Background technique
Electric energy not only affects the industrial production efficiency of all trades and professions, also affects the quality level of people's normal life,
It is the core energy that current social realizes sustainable development.After electromechanical integration and mechanical automation reform, electric system exists
Effect in power resource scheduling process is more significant, and transformer has undertaken the key effects such as buck in the power system,
And leakage of oil failure is the most commonly seen problem of device for transformer.
China's power transformer is mostly oil-immersed transformer, and transformer oil seepage phenomena happens occasionally for many years, serious
Leakage, not only reduces the service life of transformer, influences the safe and stable operation of system, also to the economy of society and user
Benefit, which causes, to be seriously affected.
Direct surveillance mainly is also relied on to the monitoring of main transformer of transformer substation oil level in power grid at present, O&M class regularly schedules
Operation maintenance personnel checked and recorded to each component of main transformer and meter status, and artificial detection means can not find main transformer equipment
Leakage of oil failure caused by internal cause, can only be by observing whether each valve junction of main transformer has leakage grease stain to go to judge oil level
State, and the loss for causing can not economically to retrieve not in time is generally found for leakage of oil failure.
By oil temperature-oil level relation curve on analysis main transformer nameplate, oil temperature-oil level at a temperature of varying environment is measured
Relation curve all intersects at 90 degrees Celsius of oil temperatures-oil level point, and conclusion show that 90 degrees Celsius of oil temperatures are that main temperature of oil in transformer changes pole
Point of accumulation (oil temperature here refers both to main transformer upper layer oil temperature) recycles each point principle of equal effects each other on straight line, will be oily under different oil temperatures
Place value is converted into the equivalence value under identical oil temperature, and the method is known as the limit oil temperature method of equal effect.
The long-range cruising inspection system of Multidimensional Comprehensive is realized using video image combination and the associated mode of telemetry intelligence (TELINT) to electric power one
The conduct monitoring at all levels of secondary device may be implemented the remote real-time monitoring to all kinds of auxiliary systems of substation, realize to substation one
The remote auto inspection of secondary device, with the functions such as SCADA system linkage, video intelligent analysis, security management and control and remote alarms, be
The safety and reliability for improving substation operation and maintenance realizes the visual control scheduling of power grid, is the peace of electric system
Full stable operation and raising grid automation management level establish solid foundation.
Least square method (also known as least squares method) is a kind of mathematical optimization techniques, it passes through the quadratic sum for minimizing error
The optimal function matching for finding data, can easily acquire unknown data using least square method, and these are acquired
Data and real data between error quadratic sum be minimum.Least square method is also used to curve matching, " statistical learning side
Method " in mention, the most common loss function of recurrence learning is quadratic loss function, most optimization problem can also pass through minimum
Change energy or maximize entropy and is expressed with least square method.
Summary of the invention
The purpose of the present invention is the deficiencies to overcome the prior art, provide a kind of main transformer equivalent based on limit oil temperature
The method for real-time monitoring of oil level.The present invention passes through between main transformer oil temperature-oil level curve at a temperature of depth analysis varying environment
Relationship determines with 90 degrees Celsius of oil temperature limit point as critical point, practical oiling conditions is combined with the limit oil temperature point, uses
The principle of equal effects converts the oil level under different oil temperatures, and analysis fitting a straight line slope is realized the variation tendency early warning of main transformer oil level, increased
The reliabilty and availability of result.
A kind of main transformer oil level method for real-time monitoring equivalent based on limit oil temperature proposed by the present invention, feature exist
The oil temperature of a main transformer equipment the last 30 days, oil level measured data are obtained first in, this method and carries out linear fit, are obtained
Oil level value under measured data oil temperature-oil level fitting a straight line function and 90 degrees Celsius of oil temperatures；Followed by measured data and 90
Oil level value under degree Celsius oil temperature obtains 30 days equivalent fitting a straight lines of measured data oil level, and calculates 30 days at a set temperature
Equivalent oil level value；It is that dependent variable carries out linear fit using the time as independent variable, equivalent oil level value, determines the fitting of time and oil level
Linear function and slope；Slope is determined, obtain the oil condition of main transformer, user receives judgement as a result, completing real
When monitor.Specific step is as follows for this method:
1) work as the day before yesterday in data acquisition, select oil temperature, the oil level instrument of a main transformer equipment in substation, utilize
This optimal video camera of position picture is observed in the long-range cruising inspection system of Multidimensional Comprehensive, determines the oil temperature, oil level instrument and camera shooting
Mapping relations between machine, and image intelligent analysis model is established in the long-range cruising inspection system of Multidimensional Comprehensive, utilize Multidimensional Comprehensive
Daily customary make an inspection tour carries out grabgraf in long-range cruising inspection system, and it is real that the oil temperature of main transformer, oil level picture are converted to oil temperature, oil level
Measured data is stored into database, and the data of the last 30 days before the day before yesterday are chosen in data acquisition altogether；
2) measured data for obtaining step 1) determines measured data oil temperature-oil level by least square method linear fit
Fitting a straight line function expression；By calculating, measured data oil temperature-oil level fitting a straight line oil level in 90 degrees Celsius of oil temperatures is obtained
Value, and the result is saved in database；
3) measured data that a certain date is randomly selected from step 1), in conjunction with the measured data being calculated in step 2)
Oil level value under 90 degrees Celsius of oil temperatures obtains the equivalent fitting a straight line function expression of measured data oil level on selected date；And it counts
The equivalent oil level value of selected date actual measurement oil level at a set temperature is calculated, and the equivalent oil level value being calculated is saved
Into database；
4) step 3) is repeated, the equivalent fitting a straight line of oil level totally 30 of whole date measured datas are obtained, it, will by calculating
The main transformer 30 days oil temperature-oil level measured datas recorded in step 1) are converted to equivalent at temperature set by step 3)
Oil level value, and be calculated 30 equivalent oil level values are saved in database；
5) be calculated in step 4) 30 equivalent oil level values are arranged according to date sequencing, the 30th day i.e.
Work as the day before yesterday for data acquisition；When daily tour time is inconsistent, corresponding ratio is converted by time scale, obtains quarter time
Time and equivalent oil level value list after degree conversion in 30 days under set temperature；By a line time data every in the list and right
The equivalent oil level Value Data answered merges into one group of data, totally 30 groups of data, is dependent variable by independent variable, equivalent oil level value of the time
Carry out least square method linear fit, determine the fitting a straight line function of time and oil level；
6) slope of note step 5) obtained time and oil level fitting a straight line function is a, define a section A [- 0.01,
0.01], judge the value of a and the attaching relation of section A；When a is within the A of section, then show that the main transformer equipment is transported
Row is normal；When a is not within the A of section, show the main transformer oil level variation abnormality；
7) user checks tour record in the long-range cruising inspection system client of Multidimensional Comprehensive, and client is by sentencing in step 6)
Determine result and inform user, completes the real time monitoring to main transformer equipment operation condition.
A kind of main transformer oil level method for real-time monitoring equivalent based on limit oil temperature proposed by the present invention, feature and has
Beneficial effect is:
The method of the present invention realizes the difference according to regional environment temperature, and dynamic adjusts oil temperature-oil level standard curve tendency,
It is equivalent under same oil temperature to complete actual measurement oil level under different time points, dexterously by when m- oil temperature-oil level three-dimensional data change
For when m- oil level 2-D data carry out data analysis, keep the resultant error for being fitted post analysis smaller, more accurate.
1, the method for the present invention reduces equivalent rear oil by combining on-site actual situations dynamic analysis oil temperature-oil level relationship
Error between place value ensure that the accuracy and reliability of result.
2, a kind of effective main transformer oil level state judging means are provided in the method for the present invention, improve maintenance work
Efficiency reduces O&M cost.
3, the method for the present invention excavates relationship between each data on the basis of the big data that digital transformer substation provides, towards with
Family output is as a result, meet the Intellectualized standard of country's proposition.
4, the method for the present invention can be mounted on the intelligent patrol detection platform for meeting state's net tour standard and carry out data acquisition and divide
Analysis has good compatibility and expansion.
Detailed description of the invention
Fig. 1 is the flow diagram of the method for the present invention.
Fig. 2 is measured data oil temperature-oil level fitting a straight line and standard straight-line schematic diagram in the embodiment of the present invention.
Fig. 3 is the main transformer oil temperature and oil level graph of relation that transformer manufacturers provide in the embodiment of the present invention.
Fig. 4 is the equivalent fitting a straight line schematic diagram of measured data oil level on July 27 in the embodiment of the present invention.
Fig. 5 is the equivalent fitting a straight line schematic diagram of 30 days measured data oil levels in the embodiment of the present invention.
Fig. 6 is time and oil level fitting a straight line schematic diagram in the embodiment of the present invention.
Specific embodiment
A kind of main transformer oil level method for real-time monitoring equivalent based on limit oil temperature proposed by the present invention, below with reference to attached
Figure and specific embodiment are further described below.
A kind of main transformer oil level method for real-time monitoring equivalent based on limit oil temperature proposed by the present invention, flow diagram
As shown in Figure 1, this method obtains the oil temperature of a main transformer equipment the last 30 days first, oil level measured data is gone forward side by side line
Fitting, obtains the oil level value under measured data oil temperature-oil level fitting a straight line function and 90 degrees Celsius of oil temperatures；Followed by actual measurement number
According to oil level value under 90 degrees Celsius of oil temperatures, 30 days equivalent fitting a straight lines of measured data oil level are obtained, and calculate 30 days in setting temperature
Equivalent oil level value under degree；It is that dependent variable carries out linear fit using the time as independent variable, equivalent oil level value, determines time and oil level
Fitting a straight line function and slope；Slope is determined, obtains the oil condition of main transformer, user receive judgement as a result,
Complete real time monitoring.Specific step is as follows for this method:
1) work as the day before yesterday in data acquisition, select oil temperature, the oil level instrument of a main transformer equipment in substation, utilize
This optimal video camera of position picture is observed in the long-range cruising inspection system of Multidimensional Comprehensive, determines the oil temperature, oil level instrument and camera shooting
Mapping relations between machine, and image intelligent analysis model is established in the long-range cruising inspection system of Multidimensional Comprehensive, utilize Multidimensional Comprehensive
Daily customary make an inspection tour carries out grabgraf in long-range cruising inspection system, and it is real that the oil temperature of main transformer, oil level picture are converted to oil temperature, oil level
Measured data is stored into database, and the data of the last 30 days before the day before yesterday are chosen in data acquisition altogether；
2) measured data for obtaining step 1) determines measured data oil temperature-oil level by least square method linear fit
Fitting a straight line function expression；By calculating, measured data oil temperature-oil level fitting a straight line oil level in 90 degrees Celsius of oil temperatures is obtained
Value, and the result is saved in database；
3) measured data that a certain date is randomly selected from step 1), in conjunction with the measured data being calculated in step 2)
Oil level value under 90 degrees Celsius of oil temperatures obtains the equivalent fitting a straight line function expression of measured data oil level on selected date；And it counts
The equivalent oil level value of selected date actual measurement oil level at a set temperature is calculated, and the equivalent oil level value being calculated is saved
Into database；
4) step 3) is repeated, the equivalent fitting a straight line of oil level totally 30 of whole date measured datas are obtained, it, will by calculating
The main transformer 30 days oil temperature-oil level measured datas recorded in step 1) are converted to equivalent at temperature set by step 3)
Oil level value, and be calculated 30 equivalent oil level values are saved in database；
5) be calculated in step 4) 30 equivalent oil level values are arranged according to date sequencing, the 30th day i.e.
Work as the day before yesterday for data acquisition；When daily tour time is inconsistent, corresponding ratio is converted by time scale, obtains quarter time
Time and equivalent oil level value list after degree conversion in 30 days under set temperature；By a line time data every in the list and right
The equivalent oil level Value Data answered merges into one group of data, totally 30 groups of data, is dependent variable by independent variable, equivalent oil level value of the time
Carry out least square method linear fit, determine the fitting a straight line function of time and oil level；
6) slope of note step 5) obtained time and oil level fitting a straight line function is a, define a section A [- 0.01,
0.01], judge the value of a and the attaching relation of section A；When a is within the A of section, then show that the main transformer equipment is transported
Row is normal；When a is not within the A of section, show the main transformer oil level variation abnormality；
7) user checks tour record in the long-range cruising inspection system client of Multidimensional Comprehensive, and client is by sentencing in step 6)
Determine result and inform user, completes the real time monitoring to main transformer equipment operation condition.
Below with reference to a specific embodiment, the present invention is further described as follows:
The present embodiment chooses State Grid Corporation of China's Chongqing Branch 110kV substation #3 main transformer 7-9 month oil temperature, 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 substation are selected, utilization is existing
This optimal video camera of 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 substation uses, have 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 to oil temperature, oil level is surveyed
Data are stored into database, as shown in table 1:
1 main transformer oil of table, oil level real time picture convert measured data table
In table 1, makes an inspection tour the date and tour time is respectively daily customary tour grabgraf in the long-range cruising inspection system of Multidimensional Comprehensive
Date and time；Main transformer oil and ontology oil level are respectively that daily customary grabgraf of making an inspection tour is converted by image intelligent analysis model
Oil temperature and oil level data afterwards, unit are indicated with degree Celsius with percentage respectively.
2) measured data for obtaining step 1) determines measured data oil temperature-oil level by least square method linear fit
Shown in fitting a straight line function expression such as formula (1):
Y=0.7471X+30.57 (1)
In formula, Y is dependent variable, indicates oil level, and X is independent variable, indicates oil temperature, and 0.7471 and 30.57 be constant, respectively table
Show the slope and intercept of the straight line, (Fig. 2 is that 30 days measured datas are intended in oil temperature-oil level coordinate system to fitting result as shown in Figure 2
It is closing as a result, including standard straight-line and practical fitting a straight line；Standard straight-line expression formula is Y=0.9X+9, and practical fitting a straight line is such as
Shown in formula (1)；Fitting a straight line is compared by Fig. 2 with standard straight-line, embody under 90 degrees Celsius of oil temperatures live oiling it is lack of standardization
Oil level value difference caused by under different oil temperatures is different).
By calculating, show that measured data oil temperature-oil level fitting a straight line oil level value in 90 degrees Celsius of oil temperatures is 97.81,
And the result is saved in database.Here oil temperature-the oil level for taking 90 degrees Celsius of oil temperatures to provide on main transformer equipment nameplate
Graph of relation, (Fig. 3 is that the main transformer oil temperature that transformer production producer provides in the present embodiment and oil level close as shown in Figure 3
It is curve graph, abscissa T represents main transformer oil temperature, and ordinate H represents main transformer oil level, and curve 1 represents area throughout the year most
Main transformer oiling curve at -30 DEG C of low temperature；Main transformer oiling is bent when curve 2 represents regional long-term -20 DEG C of minimum temperature
Line；Main transformer oiling curve when curve 3 represents regional long-term -10 DEG C of minimum temperature；Difference can be accurately estimated by curve
Oil level value under oil temperature is capable of the variation relation of accurate response oil temperature oil level, it is contemplated that oiling is not advised in main transformer equipment actual production
Model, practical oil level and standard oil level under 90 degrees Celsius of oil temperatures have deviation, therefore measured data fitting a straight line is taken to obtain in this method
90 degrees Celsius of oil temperatures when oil level value 97.81 calculated, without using the oil level value 90 under standard straight-line).
3) measured data of a certain day is randomly selected from step 1), the present embodiment has chosen 12 minutes 13 points of July 27
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), in conjunction with
Oil level value point 97.81, determines straight line by two o'clock under 90 degrees Celsius of oil temperatures of the measured data being calculated in step 2)
Principle obtains shown in the equivalent fitting a straight line function expression of measured data oil level on July 27 such as formula (2):
Y=0.7615X+29.2785 (2)
In formula, Y is dependent variable, represents measured data oil level equivalent straight line function on July 27, and X is independent variable, indicates oil
Temperature, 0.7615 and 29.2785 be constant, respectively indicates the slope and intercept of the equivalent fitting a straight line of measured data oil level on July 27；
July 27, the equivalent fitting a straight line schematic diagram of measured data oil level was as shown in Figure 4.
In Fig. 4, according to the principle equivalent each other of each point on straight line, actual measurement oil level on July 27 is calculated in 20 degrees Celsius of oil
Under temperature equivalent oil level value be 44.51 (taking 20 degrees Celsius herein is regional annual daily temperature), and by be calculated this is equivalent
Oil level value is saved in database.
4) step 3) is repeated, the equivalent fitting a straight line of oil level totally 30 of 30 days measured datas are obtained, by calculating, by step
1) it is (practical that the main transformer 30 days oil temperature-oil level measured datas recorded in are converted to the equivalent oil level value under 20 degrees Celsius
When operation, the time takes the data of the last 30 days before the day before yesterday, to guarantee fitting precision, data volume will cause fitting less and miss
Difference, it is complicated that data volume will cause greatly calculating；The day before yesterday of working as that data acquire in the embodiment of the present invention is September 3), and will calculate
To all equivalence values be saved in database；The equivalent fitting a straight line schematic diagram of the oil level of 30 days measured datas (is schemed as shown in Figure 5
5 is only embody maximum slope in 30 days in figure by the schematic diagram of 90 degree of oil temperature points and the made equivalent straight line of each eyeball
The straight line Y1 and the smallest straight line Y2 of slope totally two straight lines, lower envelope on composition, the model that other straight lines are included in Y1 and Y2
Within enclosing).
5) the equivalent oil level value under in be calculated in step 4) 30 days 20 degrees Celsius is successive suitable according to 1-30 days
Sequence is arranged, and the 30th day is data acquisition when the day before yesterday (being September 3) in the present embodiment, when daily tour time is inconsistent,
It needs to convert time scale to corresponding ratio, it is first determined the daily timed patrol time, if first day automatic tour time is
Scale 0 was divided equally 1 day with 24 hours, 30 timesharing when tour time is less than x, and when taking x, 31 timesharing when being more than or equal to x take x+1
When, for example, when tour time on July 26 is 19 in table 1 19 divide, 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 after time scale converts in 30 days under 20 degrees Celsius of oil temperatures, is carved by the above-mentioned time
Degree conversion method converts tour time in table 1, and modifies 20 degrees Celsius that main transformer oil is unified, by main transformer body oil
Position is substituted with the equivalent oil level value being calculated under 20 degrees Celsius of oil temperatures.
A line time data every in table 2 and equivalent oil level Value Data are merged into one group of data, totally 30 groups of data, with the time
The carry out least square method linear fit 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=0.008162T+45.39 (3)
In formula, H is dependent variable, indicates equivalent oil level value, and T is independent variable, indicates the time, 0.008162 and 45.39 be normal
Number, respectively indicates the slope and intercept of time Yu oil level fitting a straight line；Schematic diagram such as Fig. 6 of time and oil level fitting fitting a straight line
It is shown that (Fig. 6 is for the data in table 2 using after least square method linear fit as a result, each data point in Fig. 6 is by table 2
In every a line time data and equivalent oil level Value Data be merged into representative data point after one group of data, totally 30 groups；Fig. 6 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 two sides).
Claims (2)
1. a kind of main transformer oil level method for real-time monitoring equivalent based on limit oil temperature, which is characterized in that this method obtains first
It takes the oil temperature of a main transformer equipment the last 30 days, oil level measured data and carries out linear fit, obtain measured data oil temperature-
Oil level value under oil level fitting a straight line function and 90 degrees Celsius of oil temperatures；Followed by oil level under measured data and 90 degrees Celsius of oil temperatures
Value obtains 30 days equivalent fitting a straight lines of measured data oil level, and calculates 30 days equivalent oil level values at a set temperature；With the time
It is that dependent variable carries out linear fit for independent variable, equivalent oil level value, determines the fitting a straight line function and slope of time and oil level；It is right
Slope is determined, the oil condition of main transformer is obtained, and user receives judgement as a result, completing real time monitoring.
2. the method as described in claim 1, which is characterized in that this method specifically includes the following steps:
1) work as the day before yesterday in data acquisition, select oil temperature, the oil level instrument of a main transformer equipment in substation, utilize multidimensional
Observe this optimal video camera of position picture in comprehensive long-range cruising inspection system, determine the oil temperature, oil level instrument and video camera it
Between mapping relations, and establish image intelligent analysis model in the long-range cruising inspection system of Multidimensional Comprehensive, it is long-range using Multidimensional Comprehensive
Daily customary make an inspection tour carries out grabgraf in cruising inspection system, the oil temperature of main transformer, oil level picture is converted to oil temperature, oil level surveys number
According to storage into database, the data of the last 30 days before the day before yesterday are chosen in data acquisition altogether；
2) measured data for obtaining step 1) determines measured data oil temperature-oil level fitting by least square method linear fit
Linear function expression formula；By calculating, measured data oil temperature-oil level fitting a straight line oil level value in 90 degrees Celsius of oil temperatures is obtained,
And the result is saved in database；
3) measured data that a certain date is randomly selected from step 1) is taken the photograph in conjunction with the measured data 90 being calculated in step 2)
Oil level value under family name's degree oil temperature obtains the equivalent fitting a straight line function expression of measured data oil level on selected date；And it calculates
The equivalent oil level value of selected date actual measurement oil level at a set temperature, and the equivalent oil level value being calculated is saved in number
According in library；
4) step 3) is repeated, the equivalent fitting a straight line of oil level totally 30 of whole date measured datas are obtained, by calculating, by step
1) the main transformer 30 days oil temperature-oil level measured datas recorded in are converted to the equivalent oil level at temperature set by step 3)
Value, and be calculated 30 equivalent oil level values are saved in database；
5) be calculated in step 4) 30 equivalent oil level values are arranged according to date sequencing, the 30th day is to count
Work as the day before yesterday according to acquisition；When daily tour time is inconsistent, corresponding ratio is converted by time scale, time scale is obtained and turns
Time and equivalent oil level value list after change in 30 days under set temperature；By a line time data every in the list and corresponding
Equivalent 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 into
Row least square method linear fit determines the fitting a straight line function of time and oil level；
6) slope of note step 5) obtained time and oil level fitting a straight line function is a, define a section A [- 0.01,
0.01], judge the value of a and the attaching relation of section A；When a is within the A of section, then show that the main transformer equipment is transported
Row is normal；When a is not within the A of section, show the main transformer oil level variation abnormality；
7) user checks tour record in the long-range cruising inspection system client of Multidimensional Comprehensive, and client is by the judgement knot in step 6)
Fruit informs user, completes the real time monitoring to main transformer equipment operation condition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611039585.3A CN106525194B (en) | 2016-11-21 | 2016-11-21 | A kind of main transformer oil level method for real-time monitoring equivalent based on limit oil temperature |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611039585.3A CN106525194B (en) | 2016-11-21 | 2016-11-21 | A kind of main transformer oil level method for real-time monitoring equivalent based on limit oil temperature |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106525194A CN106525194A (en) | 2017-03-22 |
| CN106525194B true CN106525194B (en) | 2019-03-22 |
Family
ID=58356542
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611039585.3A Active CN106525194B (en) | 2016-11-21 | 2016-11-21 | A kind of main transformer oil level method for real-time monitoring equivalent based on limit oil temperature |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106525194B (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107450428A (en) * | 2017-08-08 | 2017-12-08 | 国网重庆市电力公司江津供电分公司 | A kind of main transformer oil level method for real-time monitoring equivalent based on translation |
| CN107894265A (en) * | 2017-12-05 | 2018-04-10 | 国网福建省电力有限公司泉州供电公司 | A kind of transformer device for monitoring oil level |
| CN111006741B (en) * | 2019-12-25 | 2022-04-08 | 中国南方电网有限责任公司超高压输电公司广州局 | Oil level abnormity detection method and system for oil-immersed transformer body |
| CN111238599A (en) * | 2020-01-15 | 2020-06-05 | 南京智鹤电子科技有限公司 | Method and device for monitoring abnormal oil level of machine in static state |
| CN111272256B (en) * | 2020-01-15 | 2021-05-18 | 南京智鹤电子科技有限公司 | Data processing method and device for oil level abnormity monitoring |
| CN112461330B (en) * | 2020-11-02 | 2023-04-18 | 国网湖南省电力有限公司 | Oil level state judgment method and system for metal corrugated oil conservator transformer |
| CN112504397A (en) * | 2020-11-11 | 2021-03-16 | 广东电网有限责任公司 | Method and system for distinguishing oil level state of transformer |
| CN113405630A (en) * | 2021-03-29 | 2021-09-17 | 国网上海市电力公司 | Monitoring devices of transformer oil level operation safety based on wireless communication |
Citations (8)
| 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 |
| GB2496426A (en) * | 2011-11-11 | 2013-05-15 | Messier Dowty Ltd | Oil level gauge for shock absorber |
| CN103674163A (en) * | 2013-12-18 | 2014-03-26 | 中国西电电气股份有限公司 | Oil level monitoring method and monitoring system of oil storage system of oil-immersed 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 |
| CN204007775U (en) * | 2014-07-08 | 2014-12-10 | 国家电网公司 | Transformer oil level on-line monitoring system |
| CN104316134A (en) * | 2014-11-06 | 2015-01-28 | 山东理工大学 | Method and system for monitoring oil level of oil-immersed high-voltage electrical apparatus |
| CN104596614A (en) * | 2014-12-30 | 2015-05-06 | 吴江变压器有限公司 | Horizontal capsule oil storage cabinet oil level measuring method based on oil temperatures |
-
2016
- 2016-11-21 CN CN201611039585.3A patent/CN106525194B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2496426A (en) * | 2011-11-11 | 2013-05-15 | Messier Dowty Ltd | Oil level gauge for shock absorber |
| 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 |
| CN103674163A (en) * | 2013-12-18 | 2014-03-26 | 中国西电电气股份有限公司 | Oil level monitoring method and monitoring system of oil storage system of oil-immersed 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 |
| CN204007775U (en) * | 2014-07-08 | 2014-12-10 | 国家电网公司 | Transformer oil level on-line monitoring system |
| CN104316134A (en) * | 2014-11-06 | 2015-01-28 | 山东理工大学 | Method and system for monitoring oil level of oil-immersed high-voltage electrical apparatus |
| CN104596614A (en) * | 2014-12-30 | 2015-05-06 | 吴江变压器有限公司 | Horizontal capsule oil storage cabinet oil level measuring method based on oil temperatures |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106525194A (en) | 2017-03-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106525194B (en) | A kind of main transformer oil level method for real-time monitoring equivalent based on limit oil temperature | |
| CN105205569B (en) | State of fan gear box online evaluation method for establishing model and online evaluation method | |
| Leva et al. | PV module fault diagnosis based on microconverters and day-ahead forecast | |
| CN110807550B (en) | Distribution transformer overload recognition and early warning method based on neural network and terminal equipment | |
| CN109800697A (en) | Transformer target detection and open defect recognition methods based on VGG-net Style Transfer | |
| CN105320123B (en) | A kind of measuring and controlling equipment health status evaluation system and method based on online monitoring data | |
| CN103903408A (en) | Device fault detecting and early warning method and system | |
| CN112329977A (en) | Wind power prediction system for extreme scene | |
| CN107450428A (en) | A kind of main transformer oil level method for real-time monitoring equivalent based on translation | |
| CN116865236A (en) | Medium-and-long-term power generation capacity prediction method and system based on new energy power generation | |
| CN117154739B (en) | User power distribution control method and system according to power utilization characteristics | |
| CN102682212A (en) | Reliability measurement method for mechanical and electrical product | |
| CN102539823A (en) | Method for forecasting wind speed distribution of WTG (wind turbine generator) | |
| JP5949073B2 (en) | Database operation system for power system analysis | |
| CN113777551B (en) | Current transformer transformation ratio checking method for special line special power user metering device | |
| CN115879976A (en) | Carbon neutralization simulation method and terminal | |
| Li et al. | Forecast of power generation for grid-connected photovoltaic system based on Grey theory and verification model | |
| Khalyasmaa et al. | Photovoltaic power plant production operational forecast based on its short-term forecasting model | |
| Lonij et al. | A scalable demand and renewable energy forecasting system for distribution grids | |
| CN111027199A (en) | Panoramic model and modeling method for main and auxiliary equipment of transformer substation | |
| CN110197442A (en) | A kind of wind-resources assessment system of combination Quality Control | |
| Afonso et al. | Weather monitoring system for renewable energy power production correlation | |
| Zhu et al. | Research progress of the ultra-short term power forecast for PV power generation: A review | |
| CN105633946B (en) | A kind of high wind-powered electricity generation of extraction penetrates the modeling method of busbar day net active power Random-fuzzy feature | |
| CN117010837B (en) | Basic resource batch matching method based on longitude and latitude coordinates |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |