CN104636746A - GIS (Gas Insulated Switchgear) equipment characteristic value extraction method based on local-region wavelet transformation - Google Patents
GIS (Gas Insulated Switchgear) equipment characteristic value extraction method based on local-region wavelet transformation Download PDFInfo
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Abstract
The invention discloses a GIS (Gas Insulated Switchgear) equipment characteristic value extraction method based on local-region wavelet transformation. The method comprises the following steps of firstly obtaining a GIS equipment opening time-current curve sampled by sampling equipment such as a sensor; then partitioning the curve based on characteristic points, and performing region wavelet denoising only on the interiors of subregions, so that wavelet denoising is not performed on other redundant data of the whole curve and thus the algorithm efficiency is improved; and then performing characteristic value extraction on the curve, comparing the characteristic values with experience characteristic values of a reference operation curve of the GIS equipment opening time-current curve under a normal operation state so as to judge the operation state of the monitored equipment, and determining whether to perform overhauling. The method has the advantages that on the premise of not reducing the extracted characteristic value precision, the computation burden is reduced and the method is efficient and practical.
Description
Technical field
The invention belongs to GIS device online monitoring data process field in electric system, be specifically related to a kind of GIS device Eigenvalue Extraction Method based on regional area wavelet transformation.
Background technology
Relative to open type electric equipment, GIS (Gas Insulted Switchgear, sulfur hexafluoride gas fully closed combined electric unit) there is technical advance and the superiority economically such as small volume, equipment is safe and reliable to operation, be used widely in each electric pressure electrical network of China.But once GIS breaks down, the power off time caused by it is longer, can produce destruction equipment, affect the adverse effects such as the safe and stable operation of whole electrical network.
At present, not high and easily produce the equipment of regular fault for reliability, be mostly to investigate fault by the preventative maintenance mode of prophylactic repair.And day by day rise along with GIS device manufactures quality, reliability promotes greatly, and usage quantity is increasing, if take prophylactic repair strategy, not only consumes a large amount of manpower and time, causes to have a power failure in a big way, and may because overhauling the new fault of improper introducing.Therefore, the power equipment such as GIS now progressively adopts the methods such as repair based on condition of component.Repair based on condition of component is a comprehensive decision process, utilize the data information of the overall processes such as preventive experiment, on-line monitoring, historical record and same category of device family defect, comprehensive assessment equipment current state is carried out by the multiple technologies means such as the selection of state evaluation and optimal strategy and economic means, prediction impact development, thus dynamically formulate Plant maintenance plan.
Repair based on condition of component depends on real-time sampling data, and in its decision process, desired data data obtains by on-line monitoring.On-line monitoring is responsible for sampling to equipment electric parameters or non-electric quantity in real time, by carrying out data processing and judgement to sampled value, for repair based on condition of component process provides concrete operations foundation.
GIS device divides/waveform of closing coil electric current in comprise the information of reflection GIS state, coil current curve waveform has certain variation tendency, the unique point (as Current maxima, minimum point) of its key position is when GIS is in normal operating condition, and its time coordinate and electric current coordinate are positioned within certain data area.When GIS abnormal state or when breaking down, its point/closing coil time current curve general morphologictrend is constant, but the characteristic point position of its key position can drift about.By catching curve in the unique point of key position, extracting associated eigenvalue, analyzing the variable quantities such as its displacement on time shaft and current axis, can as the foundation judging GIS state, for the change conditions of quantitative test GIS machinery operating mechanism.
To in the data handling procedure of sampled value, core procedure is to extract eigenwert in real time, exactly.But because GIS is in the electric power environmental of high interference, strong noise, smart electronics unit can produce noise when carrying out digital-to-analog conversion to GIS sampled value, the data also having the impact of other all environmental factors that GIS on-line checkingi is collected can be unavoidable with disturbance and burr, brings larger difficulty to correct eigenwert of extracting.So how exclusive PCR from magnanimity original sampling data, and extract eigenwert efficiently and accurately, become the key of GIS condition adjudgement.
Summary of the invention
The object of the invention is to overcome the shortcoming of prior art and deficiency, a kind of GIS device Eigenvalue Extraction Method based on regional area wavelet transformation is provided, the method divides/closing coil current curve for GIS device, screening subregion is carried out according to curve empirical features value, only local Wavelet Denoising Method is carried out to institute subregion, characteristics extraction is carried out to the curve data after denoising, has that calculated amount is few, the advantage of highly effective.
In order to achieve the above object, the technical solution used in the present invention is: a kind of GIS device Eigenvalue Extraction Method based on regional area wavelet transformation, comprises the following steps:
(1) current GIS equipment opening time-current curve is obtained, and the empirical features value of the benchmark operation curve of GIS device opening time-current curve under normal operating condition;
(2) current GIS equipment opening time-current curve is carried out to the subregion of distinguished point based, obtain several characteristic areas;
(3) Wavelet Denoising Method is carried out to the curve data in above-mentioned characteristic area;
(4) characteristics extraction is carried out to the curve data after denoising;
(5) the empirical features value described in the eigenwert extracted and step (1) is contrasted, judge the running status that institute's monitoring equipment is current, and then determine whether overhaul.
Concrete, in described step (2), to current GIS equipment opening time-current curve, be that order chooses following 5 unique points successively with time shaft: initial current, starting current unshakable in one's determination, stopping electric current unshakable in one's determination, coil maximum operating currenbt and termination electric current.
Concrete, in described step (2), the step that distinguished point based carries out subregion is as follows:
(2-1) obtain fisrt feature region: centered by benchmark operation curve initial current time coordinate, T=1ms is radius, front and back extend, and intercept this time period up-sampling point as fisrt feature region;
(2-2) second feature region is obtained: stop centered by electric current midpoint times coordinate by benchmark operation curve starting current unshakable in one's determination with unshakable in one's determination, T=5ms is radius, and front and back extend, and intercept this time period up-sampling point as second feature region;
(2-3) third feature region is obtained: centered by benchmark operation curve coil maximum operating currenbt with the midpoint times coordinate stopping electric current, T=10ms is radius, and front and back extend, and intercepts sampled point on this time period as third feature region.After adopting above partition method, only need process data in subregion, effectively can judge circuit-breaker status, thus avoid carrying out data analysis to whole curve, reduce data processing amount of calculation, not lose efficient under accurate prerequisite.
Concrete, described step (3), when carrying out Wavelet Denoising Method, chooses Haar wavelet transform as wavelet basis.Make calculated amount can be as far as possible little.
Due on known curve after denoising, initial current is minimum value with stopping electric current, starting current unshakable in one's determination and coil maximum operating currenbt are maximum value, stopping electric current unshakable in one's determination is minimal value, therefore, described step (4), the step of the curve data after denoising being carried out to characteristics extraction is as follows:
(4-1) establish and the curve after denoising has A, B and C 3 point, carried out to the comparison of current amplitude at 3;
(4-2) extreme value is extracted: if satisfy condition A<B C<B simultaneously, then get B as unique point;
If satisfy condition, A>B C>B simultaneously, then get B as unique point;
If A, B, C 3 do not meet above condition, then after C, separated in time step-length gets a D, is given up by former A point, the current amplitude of former B point is assigned to A point, the current amplitude of former C point is assigned to B point, the current amplitude of D point is assigned to C point, then the comparison of a new round is carried out, by that analogy;
(4-3) minimum value is extracted: after having screened extreme value, take sampling time as sequence, get A, B, C 3 point successively, screening sampled point form the A point of the first A<B<C of meeting on current curve and last meets the C point of A>B>C, respectively using A point, C point as unique point.
Concrete, in described step (5), the empirical features value described in the eigenwert extracted and step (1) is contrasted, compares its current amplitude and temporal side-play amount simultaneously.Thus GIS equipment operational condition can be judged more exactly, improve and judge precision, avoid erroneous judgement misjudgement.
Preferably, in described step (1), under current GIS equipment opening time-current curve and normal operating condition, have can contrastive for GIS device opening time-current curve, and namely sample start times, sample frequency, sample end time are identical.
Compared with prior art, tool has the following advantages and beneficial effect in the present invention:
(1) traditional denoising method to all sampled datas be all non-selectivity process and analyze, calculated amount is large, for a long time consuming time.The present invention adopts regional area Wavelet-denoising Method, by carrying out the data partition of feature based value to sampled data, selectively subregion and screening are carried out to sampled data, only Wavelet Denoising Method is carried out to screening areas data, effectively make up the weak point of traditional denoising method.This algorithm, under the prerequisite not reducing extracted eigenwert precision, decreases operand, highly effective.
(2) in order to ensure the accuracy that unique point key message extracts, this invention takes Wavelet-denoising Method smoothing to sampling curve.Wavelet-denoising Method is better to data denoising effect, but the intensive of small echo computing that a large amount of sampled value of GIS is brought causes consuming time long.The present invention, on the basis using Wavelet-denoising Method, takes the zone method centered by the time shaft position of the eigenwert of datum curve.The GIS device current curve of Water demand is divided into 3 regions by zone method, only extracts the region comprising unique point, and temporarily ignores other redundancy sampling values extra-regional.And then acquisition data are formed new sequence of conditions and carry out wavelet analysis again.Because screening avoids other data of information needed can not be provided to carry out Wavelet Denoising Method, make to reduce calculated amount while not reducing eigenwert precision, improve operation efficiency.
(3) key message of extracted equipment 5 unique points is carried out two dimension with the empirical data of the unique point of GIS device under typical normal operating condition and compares by the present invention, compare its current amplitude and temporal side-play amount simultaneously, GIS equipment operational condition can be judged more exactly, improve and judge precision, avoid erroneous judgement misjudgement.
Accompanying drawing explanation
Fig. 1 is the inventive method process flow diagram.
Fig. 2 is GIS device opening time-current reference profile oscillogram.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited thereto.
Embodiment 1
See Fig. 2, general GIS device opening time-current reference profile comprises 5 unique points, is that order is followed successively by with time shaft: initial current, starting current unshakable in one's determination, stopping electric current unshakable in one's determination, coil maximum operating currenbt and termination electric current.Wherein initial current is minimum value, i.e. null value with stopping electric current, starting current I unshakable in one's determination
1with coil maximum operating currenbt I
3for maximum value, stopping electric current I unshakable in one's determination
2for minimal value.
I
1for starting current unshakable in one's determination, be T
0section and T
1the maximum current of section, this value can reflect drag size when taking up the back lash or do not have idle running; I
2for iron core quits work electric current, this value is T
1section and T
2the minimum current of section, this value can reflect does drag size when the excess of stroke is moved; I
3for coil maximum operating currenbt, this value is T
2and T
3between maximum current, it is the maximum operating currenbt of coil during motion unshakable in one's determination, this value can reflect the size of the direct current resistance size of coil and the maximum resistance of mechanical unlocking, can also reflect whether coil exists turn-to-turn short circuit and joint looseness fault and partly buckle into the degree of depth.T
0for start-up time unshakable in one's determination, this section is a period of time from coil electricity to setting in motion unshakable in one's determination, can reflect the winding characteristic of coil itself.GIS device duty can be investigated in conjunction with each eigenwert above.
See Fig. 1, according to above-mentioned 5 unique points, the GIS device Eigenvalue Extraction Method based on regional area wavelet transformation a kind of described in the present embodiment is described in detail as follows.
1) based on the Regionalization basis of time coordinate
For the GIS of different model, all have its benchmark operation curve, namely under normal operating condition point/switching current curve, its eigenwert can be distinguished to some extent.And when coil working is under different operating state, eigenwert also can correspondingly change.Therefore need to understand the possible duty of various GIS, as short circuit between undertension, lock etc., find out the eigenwert under often kind of state, to set up point, the characteristic information storehouse of closing coil electric current, for comparing with the coil current waveform of reality.Noticing that datum curve and curve to be analyzed should have can contrastive, and namely sample start times, sample frequency, sample end time etc. should be identical, to facilitate comparison.Reference data when dispatching from the factory according to GIS, can obtain the time coordinate of GIS device 5 eigenwerts under normal operating conditions.
2) on current tested GIS device opening time-current curve, carry out the subregion of feature based value position
Composition graphs 2, with datum curve unique point time shaft coordinate for reference, the principle intercepting the unique point on experiment curv is: GIS device its 5 key feature points when incipient fault still exist, just its position slightly drifts about, but time and current amplitude error can not be very large, as long as it is suitable that data window size is selected, 5 the local sampling point regions be truncated to just can comprise corresponding 5 key feature points.Utilize this characteristic, can faster location feature point, reduce data feature values and extract calculated amount.
After obtaining GIS device opening time-current waveform in real time, carry out data processing.The lower GIS device opening time-current waveform benchmark operation curve of the normal operation of typical case has 5 key feature points, and its time coordinate is certain.Based on experience value, known starting current unshakable in one's determination and the current characteristic point that stops unshakable in one's determination are at a distance of comparatively near, and coil maximum operating currenbt and termination current characteristic point are at a distance of nearer.Therefore determine finally curve to be divided into 3 subregions, i.e. subregion 1, subregion 2 and subregion 3.Comprise successively:
Subregion 1: initial current;
Subregion 2: starting current unshakable in one's determination and stopping electric current unshakable in one's determination;
Subregion 3: coil maximum operating currenbt and termination electric current.
As follows for data intercept window size selection criterion:
Subregion 1 is centered by datum curve initial current time coordinate, and T=1ms is radius, and front and back extend, and intercept this time period up-sampling point as subregion 1; Subregion 2 stops electric current midpoint times coordinate with datum curve starting current unshakable in one's determination with unshakable in one's determination, and namely centered by t=T0+T1/2, T=5ms is radius, and front and back extend, and intercept this time period up-sampling point as subregion 2; Subregion 3 with datum curve coil maximum operating currenbt with stop the midpoint times coordinate of electric current, namely centered by t=T0+T1+T2+T3/2, T=10ms is radius, and front and back extend, and intercepts sampled point on this time period as subregion 3.On windows radius is chosen, consider the error problem of nargin and actual measurement profile and datum curve, windows radius size can have been readjusted according to actual conditions.
3) Wavelet Denoising Method is carried out to sampled value
Due to factors such as device manufacturing process, GIS device running environment, institute's acquisition time-current curve there is a lot of burr.These burrs will affect the screening of critical eigenvalue, therefore must carry out data de-noising to screened local sampling point region.So, by sampling number in accessed 5 local sampling point regions according to forming new sequence of conditions, using the simplest Haar wavelet transform as wavelet basis, carry out Wavelet Denoising Method.
4) eigenwert is extracted
According to the feature of corresponding key feature points, key feature points screening is carried out to the data after denoising.According to five unique points: the feature of 2 minimum value, 1 minimal value and 2 maximum value, can screen according to following thinking.Suppose A, B and C of having phase mutual edge distance certain at 3.If eligible A<B is C<B simultaneously, or A>B C>B simultaneously, then B point is screened, as unique point.If do not meet above condition, then newly get at a certain distance a bit as new C point, A point originally is then given up, and originally B point becomes new A point, and originally C point is as new B point.After having screened extreme value, take sampling time as sequence, get A, B, C 3 point successively, screening sampled point form the A point of the first A<B<C of meeting on current curve and last meets the C point of A>B>C.By that analogy, until sampled points all on curve is all screened complete.
Starting current unshakable in one's determination and coil maximum operating currenbt are maximum value, and meeting the screening conditions of C<B while of A<B respectively, can screenedly be unique point; The iron core electric current that quits work is minimal value, and meeting the screening conditions of A>B C>B simultaneously, can screenedly be unique point.Initial current is minimum value with stopping electric current, and meeting the screening conditions of A<B<C and A>B>C respectively, can screenedly be unique point equally.
After Wavelet Denoising Method, eliminate the impact of burr shake on extreme value and most value, above screening technique has reliability intuitively.
5) GIS equipment operational condition is judged
The unique point that unique point after screening and typical case normally run lower GIS device opening time-current waveform figure is carried out comparison one by one, its side-play amount is calculated from time shaft and current amplitude axle two aspect, and then obtain GIS device operation conditions relevant information, comprise running status (normal/improper/fault) residing for GIS device if the order of severity verified if break down as which kind of fault and fault is in abnomal condition the need of the information such as maintenance of stopping transport immediately.
Above-described embodiment is the present invention's preferably embodiment; but embodiments of the present invention are not restricted to the described embodiments; change, the modification done under other any does not deviate from Spirit Essence of the present invention and principle, substitute, combine, simplify; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (7)
1., based on a GIS device Eigenvalue Extraction Method for regional area wavelet transformation, it is characterized in that, comprise the following steps:
(1) current GIS equipment opening time-current curve is obtained, and the empirical features value of the benchmark operation curve of GIS device opening time-current curve under normal operating condition;
(2) current GIS equipment opening time-current curve is carried out to the subregion of distinguished point based, obtain several characteristic areas;
(3) Wavelet Denoising Method is carried out to the curve data in above-mentioned characteristic area;
(4) characteristics extraction is carried out to the curve data after denoising;
(5) the empirical features value described in the eigenwert extracted and step (1) is contrasted, judge the running status that institute's monitoring equipment is current, and then determine whether overhaul.
2. the GIS device Eigenvalue Extraction Method based on regional area wavelet transformation according to claim 1, it is characterized in that: in described step (2), to current GIS equipment opening time-current curve, be that order chooses following 5 unique points successively with time shaft: initial current, starting current unshakable in one's determination, stopping electric current unshakable in one's determination, coil maximum operating currenbt and termination electric current.
3. the GIS device Eigenvalue Extraction Method based on regional area wavelet transformation according to claim 2, is characterized in that: in described step (2), the step that distinguished point based carries out subregion is as follows:
(2-1) obtain fisrt feature region: centered by benchmark operation curve initial current time coordinate, T=1ms is radius, front and back extend, and intercept this time period up-sampling point as fisrt feature region;
(2-2) second feature region is obtained: stop centered by electric current midpoint times coordinate by benchmark operation curve starting current unshakable in one's determination with unshakable in one's determination, T=5ms is radius, and front and back extend, and intercept this time period up-sampling point as second feature region;
(2-3) third feature region is obtained: centered by benchmark operation curve coil maximum operating currenbt with the midpoint times coordinate stopping electric current, T=10ms is radius, and front and back extend, and intercepts sampled point on this time period as third feature region.
4. the GIS device Eigenvalue Extraction Method based on regional area wavelet transformation according to claim 1, is characterized in that: described step (3), when carrying out Wavelet Denoising Method, chooses Haar wavelet transform as wavelet basis.
5. the GIS device Eigenvalue Extraction Method based on regional area wavelet transformation according to claim 1, it is characterized in that: described step (4), the step of the curve data after denoising being carried out to characteristics extraction is as follows:
(4-1) establish and the curve after denoising has A, B and C 3 point, carried out to the comparison of current amplitude at 3;
(4-2) extreme value is extracted: if satisfy condition A<B C<B simultaneously, then get B as unique point;
If satisfy condition, A>B C>B simultaneously, then get B as unique point;
If A, B, C 3 do not meet above condition, then after C, separated in time step-length gets a D, is given up by former A point, the current amplitude of former B point is assigned to A point, the current amplitude of former C point is assigned to B point, the current amplitude of D point is assigned to C point, then the comparison of a new round is carried out, by that analogy;
(4-3) minimum value is extracted: after having screened extreme value, take sampling time as sequence, get A, B, C 3 point successively, screening sampled point form the A point of the first A<B<C of meeting on current curve and last meets the C point of A>B>C, respectively using A point, C point as unique point.
6. the GIS device Eigenvalue Extraction Method based on regional area wavelet transformation according to claim 1, it is characterized in that: in described step (5), empirical features value described in the eigenwert extracted and step (1) is contrasted, compares its current amplitude and temporal side-play amount simultaneously.
7. the GIS device Eigenvalue Extraction Method based on regional area wavelet transformation according to claim 1, it is characterized in that: in described step (1), under current GIS equipment opening time-current curve and normal operating condition, have can contrastive for GIS device opening time-current curve, and namely sample start times, sample frequency, sample end time are identical.
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| CN111077391A (en) * | 2019-12-20 | 2020-04-28 | 中国能源建设集团江苏省电力设计院有限公司 | Real-time monitoring system for GIL (Gate in line) |
| CN113313904A (en) * | 2021-07-29 | 2021-08-27 | 深圳市轻生活科技有限公司 | Method and system for realizing intelligent shop alarm based on 5G network |
| CN113536610A (en) * | 2021-09-16 | 2021-10-22 | 北京慧智神光科技有限公司 | Comprehensive evaluation method for circuit breaker operating mechanism |
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