CN109541418A - A kind of fault electric arc detection sensor and fault arc detection method - Google Patents

A kind of fault electric arc detection sensor and fault arc detection method Download PDF

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Publication number
CN109541418A
CN109541418A CN201910042688.2A CN201910042688A CN109541418A CN 109541418 A CN109541418 A CN 109541418A CN 201910042688 A CN201910042688 A CN 201910042688A CN 109541418 A CN109541418 A CN 109541418A
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signal
electric arc
frame signal
processor
frame
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李吉广
陈存
李佳奕
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Beijing Topreal Technologies CoLtd
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Beijing Topreal Technologies CoLtd
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Priority to CN201910042688.2A priority Critical patent/CN109541418A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing

Abstract

The invention discloses a kind of fault electric arc detection sensor and fault arc detection methods.The sensor includes: current transformer, differential circuit and processor;Route is detected to pass through from the detection zone of current transformer;The output end of current transformer is connect with the input terminal of the input terminal of differential circuit and processor respectively, and the output end of differential circuit is connect with processor input terminal;The output signal of current transformer is divided into two-way, is denoted as the first signal and the second signal respectively;First signal enters processor, and second signal enters processor after the differential of differential circuit;Processor is used for the electric arc that whether breaks down according to the determining detected route of the first signal and the second signal.The present invention can accurately identify fault electric arc, have the characteristics that false dismissal probability is low low with false-alarm probability.

Description

A kind of fault electric arc detection sensor and fault arc detection method
Technical field
The present invention relates to power protection technology fields, more particularly to a kind of fault electric arc detection sensor and fault electric arc Detection method.
Background technique
The ratio that fire caused by electricity system failure accounts for whole fire according to statistics is greater than 60%-70%.Fault electric arc draws The ratio that the fire risen accounts for whole fire is greater than 50%.Therefore it is badly in need of a kind of protection equipment, Lai Faxian fault electric arc, and in failure Circuit is disconnected there are no in the of short duration time before igniting flammable items, to extinguish fault electric arc, and then it is avoided to draw by electric arc Play fire.The main problem of current existing product is to report by mistake and fail to report frequent occurrence, i.e. false dismissal probability and false-alarm probability is too high.
Summary of the invention
The object of the present invention is to provide a kind of fault electric arc detection sensor and fault arc detection methods, can be to failure Electric arc is accurately identified there is that false dismissal probability is low low with false-alarm probability.
To achieve the above object, the present invention provides following schemes:
A kind of fault electric arc detection sensor, comprising: current transformer, differential circuit and processor;Be detected route from The detection zone of the current transformer passes through;
The output end of the current transformer input terminal with the input terminal of the differential circuit and the processor respectively Connection, the output end of the differential circuit are connect with the processor input terminal;
The output signal of the current transformer is divided into two-way, is denoted as the first signal and the second signal respectively;Described first Signal enters the processor, and the second signal enters the processor after the differential of the differential circuit;
The processor is used to determine whether the detected route goes out according to first signal and the second signal Existing fault electric arc.
Optionally, further includes: the first conditioning circuit and the second conditioning circuit, first conditioning circuit are connected to the electricity Between current transformer and the processor, second conditioning circuit is connected between the differential circuit and the processor.
Optionally, further includes:
Synchronous circuit is connected to the processor, for being the first signal and described second described in processor synchronous acquisition Signal provides synchronous voltage signal.
Optionally, the processor obtains multiple continuous first signal or the second signal continuous sampling Sampled point carries out equal length interception to the sampled point, obtains multiple frame signals;The processor includes:
First discrimination module, for determining the variation degree of the signal amplitude of corresponding position in adjacent frame signal;
Second discrimination module, for determining the degree of correlation of adjacent frame signal;
Third discrimination module, the relative ratios of the high fdrequency component for determining frame signal itself;
Fault electric arc determining module, for according to the variation degree of the signal amplitude of corresponding position, phase in adjacent frame signal The relative ratios of the high fdrequency component of the degree of correlation and frame signal of adjacent frame signal itself determine whether the detected route event occurs Hinder electric arc.
Optionally, the fault electric arc determining module includes:
First signal judgement unit, the change for the signal amplitude of corresponding position in the adjacent frame signal according to the first signal The high fdrequency component of the frame signal of change degree, the degree of correlation of the adjacent frame signal of the first signal and the first signal itself compares Rate determines Fisrt fault electric arc judging result;
Second signal judgement unit, the change for the signal amplitude of corresponding position in the adjacent frame signal according to second signal The high fdrequency component of the frame signal of change degree, the degree of correlation of the adjacent frame signal of second signal and second signal itself compares Rate determines the second fault electric arc judging result;
Fault electric arc determination unit, for judging when the Fisrt fault electric arc judging result and second fault electric arc When as a result indicating fault electric arc occur, the detected route failure electric arc is determined.
Optionally, described first differentiates mould according to formula Calculate the change rate df of the signal amplitude of corresponding position in adjacent frame signal, wherein i (m, n) is n-th in m-th of frame signal Current signal amplitude, i (m+1, n) are n-th of current signal amplitude in the m+1 frame signal, and N is the length of frame signal.
Optionally, second discrimination module is according to formula Calculate the degree of correlation of adjacent frame signal.
Optionally, the third discrimination module includes low-pass filter and high-pass filter, and frame signal passes through the low pass After filter and low-pass filter, the low frequency part and high frequency section of frame signal are obtained, is accounted for according to the high frequency section overall strength The specific gravity of low frequency part overall strength determines the relative ratios of the high fdrequency component of frame signal itself.
The present invention also provides a kind of fault arc detection methods, comprising:
Continuous sampling is carried out to the collected signal of current transformer;
Equal length division is carried out to continuous sampling point, obtains multiple frame signals;
Determine the variation degree of the signal amplitude of opposite position in adjacent frame signal;
Determine the degree of correlation of adjacent frame signal;
Determine the relative ratios of the high fdrequency component of frame signal itself;
According to the variation degree of the signal amplitude of corresponding position in adjacent frame signal, the degree of correlation and frame signal of adjacent frame signal The relative ratios of the high fdrequency component of itself determine whether the detected route breaks down electric arc.
Optionally, in the adjacent frame signal of the determination signal amplitude of opposite position variation degree, specifically include:
According to formulaIt calculates in adjacent frame signal The change rate df of the signal amplitude of opposite position, wherein i (m, n) is n-th of current signal amplitude in m-th of frame signal, i (m+1, n) is n-th of current signal amplitude in the m+1 frame signal, and N is the length of frame signal.
Optionally, the degree of correlation of the adjacent frame signal of the determination, specifically includes:
According to formulaCalculate adjacent frame signal The degree of correlation.
Optionally, the relative ratios of the high fdrequency component of the determining frame signal itself, specifically include:
Frame signal is filtered using low-pass filter and high-pass filter, obtains the low frequency part and high frequency of frame signal Part determines the phase of the high fdrequency component of frame signal itself according to the specific gravity that the high frequency section overall strength accounts for low frequency part overall strength Contrast ratio.
The specific embodiment provided according to the present invention, the invention discloses following technical effects: failure provided by the invention Arc-detection sensor includes current transformer, differential circuit and processor etc., and the output signal of current transformer is divided into two Road is directly entered processor all the way, and another way enters processor after differential circuit, and processor is shown in two paths of signals When generating the feature of fault electric arc, determines to be detected route failure electric arc, ensured the accuracy of judging result.Moreover, The present invention judges whether two paths of signals shows the standard of fault electric arc are as follows: the signal amplitude of corresponding position in adjacent frame signal The relative ratios of the high fdrequency component of variation degree, the degree of correlation of adjacent frame signal and frame signal itself, above three standard The accuracy for further having ensured fault electric arc judging result is set, further reduces erroneous judgement and fails to judge.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings Obtain other attached drawings.
Fig. 1 is fault electric arc of embodiment of the present invention detection sensor structural schematic diagram;
Fig. 2 is synchronous circuit structure of embodiment of the present invention schematic diagram;
Fig. 3 is frame data structure of embodiment of the present invention figure;
Fig. 4 is processor structure of embodiment of the present invention schematic diagram;
Fig. 5 is fault arc detection method of embodiment of the present invention process.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
The object of the present invention is to provide a kind of fault electric arc detection sensor and fault arc detection methods, can be to failure Electric arc is accurately identified there is that false dismissal probability is low low with false-alarm probability.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real Applying mode, the present invention is described in further detail.
As shown in Figure 1, fault electric arc detection sensor provided by the invention includes: current transformer 1,2 and of differential circuit Processor 5;Route is detected to pass through from the detection zone of the current transformer 1;
The output end of the current transformer 1 connects with the input terminal of the input terminal of differential circuit 2 and the processor 5 respectively It connects, the output end of the differential circuit 2 is connect with 5 input terminal of processor;
The processor 5 is used to determine whether the detected route goes out according to first signal and the second signal Existing fault electric arc.
Fault electric arc detection sensor in above-described embodiment further include: the first conditioning circuit 3 and the second conditioning circuit 4, First conditioning circuit 3 is connected between the current transformer 1 and the processor 5, and second conditioning circuit 4 connects Between the differential circuit 2 and the processor 5.The output signal of the current transformer 1 is divided into two-way, is denoted as respectively One signal and second signal;First signal enters the processor 5, the second signal warp after the first conditioning circuit 3 Enter the processor 5 after the differential circuit 2 and the second conditioning circuit 4;Wherein, the first conditioning circuit 3 and the second conditioning electricity Road 4 includes analog-digital converter.
The time constant of RC differential circuit 2 is 10us, which is lower than 100KHZ for the frequency in second signal frequency spectrum Signal component have the differential action, what is at this moment exported is the change rate signal of second signal component.Signal is higher than The signal of 100KHZ, the circuit only serve the effect of high-pass filter, and at this moment the corresponding high fdrequency component in signal does not carry out Differential, output is still signal itself.
Fault electric arc detection sensor in above-described embodiment further include:
Synchronous circuit 6 is connect with the processor 5, for for the first signal described in 5 synchronous acquisition of processor and described the Binary signal provides synchronous voltage signal;The processor 5 obtains more first signal or the second signal continuous sampling A continuous sampled point carries out equal length interception to the sampled point, obtains multiple frame signals.Synchronous circuit 6 as shown in Fig. 2, AC power source is connected to one end of 220V power supply line and the other end of bridge rectifier by diode D5.Alternating current positive half cycle When, D5 conducting, when negative half period, D5 cut-off.In this way, the sine wave signal of alternating current has reformed into the signal of only positive half cycle. Then it is divided by R1 and R2, gets 1.96% input voltage in the negative input end of amplifier.If input voltage Peak value is 311 volts, then the crest voltage after dividing is 6.1 volts.The zener diode that D6 is 5 volts, when voltage is higher than 5 volts, D6 By the voltage clamping of the point at 5 volts.A1 is the comparator with schmidt trigger mode, the upper and lower bound point of comparison voltage It Wei not be 3.33 volts and 1.67 volts.The positive half cycle for thus generating corresponding alternating current is 0 volt, and the waveform that negative half period is 5 volts is square The voltage synchronous signal of shape wave.The lower jump of voltage synchronous signal is along the initial time for being every frame data.
Synchronous circuit 6 can accurately determine time point and the time span of signal generation, overcome the frequency of power supply system Rate error provides the synchronization signal of data frame to accurately determine the starting point of every frame current signal.If cannot The accurately starting point of confirmation current signal, will be due to the frequency error of power supply system and the unstability of frequency, subsequent Judgement when, generate error.
Under the control for the synchronization signal that synchronous circuit 6 generates, the first signal and the second signal are divided into frame data, with Frame data are that unit is handled.The whole cycle of alternating voltage when frame data are using real work is the criteria for classifying. For 50 hertz of alternating current, the time span of every frame is about 20ms, and actual length is by between neighboring voltage synchronization signal Time interval determine.In view of the jitter error of frequency, designed by the maximum time length of every frame data is 22ms, often The reserved data space of frame data is 1,000,000 sampling point/second × 22 millisecond/1000 millisecond=22K sampling point, and K indicates 1,000.
As shown in Fig. 3 a set of basic frame data storage organization, the first signal and the second signal respectively use a set of base This frame data storage organization.The basic frame data storage organization of every set shares the data composition of 10 frames, and each data occupy 2 Byte, each frame data occupy 44k byte altogether.The read-write of data is carried out by the principle of first in first out (FIFO).Read and write pointer After pointing to the 10th frame data, next position automatically points to the position of the 1st frame data, sees in logic, frame data storage knot Structure is first in first out (FIFO) structure.It is empty that the first signal and the second signal occupy the storage of 2 × 44K × 10=880K byte altogether Between.Seem in logic, every time by a frame, frame data are in FIFO to the displacement one of next frame data Secondary, this reservoir is referred to as frame data shift storage device (FIFO), it is shifted by the beat of a frame every time.The storage of 1st to the 8th frame Data as operational data, the 9th, 10 frame memories use as the buffer of system.Voltage synchronous signal it is each A lower frame start signal for jumping edge as frame data, the signal trigger the displacement of frame data shift memory.
As shown in figure 4, the processor 5 includes:
First discrimination module 51, for determining the variation degree of the signal amplitude of corresponding position in adjacent frame signal;
Second discrimination module 52, for determining the degree of correlation of adjacent frame signal;
Third discrimination module 53, the relative ratios of the high fdrequency component for determining frame signal itself;
Fault electric arc determining module 54, for according to the variation degree of the signal amplitude of corresponding position in adjacent frame signal, The relative ratios of the high fdrequency component of the degree of correlation and frame signal of adjacent frame signal itself determine whether the detected route occurs Fault electric arc.
Wherein, the fault electric arc determining module 54 includes:
First signal judgement unit, the change for the signal amplitude of corresponding position in the adjacent frame signal according to the first signal The high fdrequency component of the frame signal of change degree, the degree of correlation of the adjacent frame signal of the first signal and the first signal itself compares Rate determines Fisrt fault electric arc judging result;
Second signal judgement unit, the change for the signal amplitude of corresponding position in the adjacent frame signal according to second signal The high fdrequency component of the frame signal of change degree, the degree of correlation of the adjacent frame signal of second signal and second signal itself compares Rate determines the second fault electric arc judging result;
Fault electric arc determination unit, for judging when the Fisrt fault electric arc judging result and second fault electric arc When as a result indicating fault electric arc occur, the detected route failure electric arc is determined.
Described first differentiates mould according to formula Calculate the change rate df of the signal amplitude of corresponding position in adjacent frame signal, wherein i (m, n) is n-th in m-th of frame signal Current signal amplitude, i (m+1, n) are n-th of current signal amplitude in the m+1 frame signal, and N is the length of frame signal.
Second discrimination module 52 is according to formula Calculate the degree of correlation of adjacent frame signal.
The third discrimination module 53 includes low-pass filter and high-pass filter, and frame signal passes through the low-pass filter After high-pass filter, the low frequency part and high frequency section of frame signal are obtained, low frequency portion is accounted for according to the high frequency section overall strength The specific gravity of point overall strength determines the relative ratios of the high fdrequency component of frame signal itself.
The present invention also provides a kind of fault arc detection methods, as shown in Figure 5, comprising the following steps:
Step 101: continuous sampling is carried out to the collected signal of current transformer;
Step 102: equal length division being carried out to continuous sampling point, obtains multiple frame signals;
Step 103: determining the variation degree of the signal amplitude of opposite position in adjacent frame signal;
Step 104: determining the degree of correlation of adjacent frame signal;
Step 105: determining the relative ratios of the high fdrequency component of frame signal itself;
Step 106: according to the variation degree of the signal amplitude of corresponding position in adjacent frame signal, the degree of correlation of adjacent frame signal Determine whether the detected route breaks down electric arc with the relative ratios of the high fdrequency component of frame signal itself.
If rla (1), rlb (1), rla (2), rlb (2), rla (3), rlb (3) is respectively the first signal and the second signal electricity Point sentence described in step 103 corresponding to stream signal, 1, point sentence described in step 104,2 and step 105 described in point sentence then 3. Calculated result rla (1), the rlb (1) for point sentencing then 1 are sentenced by point, and 1 by being calculated.Point sentence then 2 calculated result rla (2), Rlb (2) is sentenced by point, and 2 by being calculated.Point sentence then 3 calculated result rla (3), rlb (3) is by point sentencing then 3 by calculating It obtains.
The equal length of frame intercepts: since powering on, frame data shift storage device reaches k moment point after k displacement, At this moment, the first signal, second signal current signal all set of signal of m frame be denoted as set IA respectivelyk(m) and gather IBk(m), the first signal is denoted as the road A signal, and second signal is denoted as the road B signal.If iak(m,n),ibk(m, n) is respectively The road A, the road B current signal k moment point m frame signal in nth elements, n be this frame in signal sequence.In this frame First signal is ordered as 1, the last one signal is in IAk(m) and IBk(m) sequence in frame is respectively NAkm、NBkm。iak (m,n)∈IAk(m), 1≤n≤NAm。ibk(m,n)∈IBk(m), 1≤n≤NBm.Sentence in then in some points, when operation It needs to participate in the equal length of each frame data of operation, finds the road A, the k moment point in frame all in the road B thus most Small length, is denoted as NAkmin, NBkmin.In the operation for needing frame data equal length, operation to NAkminOr NBkminElement When, just stop operation, being equivalent to intercepted length in this way is NAkminOr NBkminSignal element carry out operation.
Step 103 (point sentence then 1), specifically includes: when normal operation circuit, in majority of case, consecutive frame Signal has the amplitude stationarity by frame for the period, i.e. the amplitude variation of signal on the opposite position of consecutive frame is little.When When electric arc occurs, the signal amplitude variation on the opposite position of adjacent two frame is greatly.Therefore, use the stationarity of amplitude as point Sentence then 1.After powering on, after have passed through at least time of 8 frames, storage organization space has been filled with the valid data of at least 8 frames.Method It is as follows:
dfak(m), dfbkIt (m) is respectively each signal of k moment point A, the B two paths of signals in m frame relative to next frame Corresponding position signal the relative change rate for this signal amplitude the average value in m frame.
If constant THdfa and THdfb are respectively dfak(m) and dfbk(m) threshold value judged, the two constants are according to reality The adjustment of border situation, takes all take 30 herein.
Constructed fuction num_dfak=NUM { dfak(m) >=THdfa | 1≤m≤8, this function representation as 1≤m≤8, Meet dfak(m) >=THdfa dfak(m) number.Similarly, constructed fuction num_dfbk=NUM { dfbk(m)≥THdfb|1 ≤ m≤8 }, this function representation meets dfb as 1≤m≤8k(m) >=THdfb dfbk(m) number.
Step 104 (point sentence then 2), specifically includes:
If:
If:
If:
If:
If constant THcofa and THcofb are the judgement thresholding corresponding to A, B two-way, the two constants are according to the actual situation Adjustment, all takes 80 here.
If: num_cof_ak=NUM { cof_ak(m)≤THcofa | 1≤m≤8, this function representation as 1≤m≤8, Meet cof_ak(m)≤THcofa cof_ak(m) number.
If: num_cof_bk=NUM { cof_bk(m)≤THcofb | 1≤m≤8, this function representation as 1≤m≤8, Meet cof_bk(m)≤THcofb cof_bk(m) number.
A, the road B point sentence it is then 2 as follows:
Step 105 (point sentence then 3), specifically includes:
Frame signal is filtered using low-pass filter and high-pass filter, obtains the low frequency part and high frequency of frame signal Part determines the phase of the high fdrequency component of frame signal itself according to the specific gravity that the high frequency section overall strength accounts for low frequency part overall strength Contrast ratio.
If: HP, GP indicate set, and hp (n), gp (n) indicate the element in the combination, then:
HP=..., hp (- 1), hp (0), hp (1) ..., hp (5) ...,
HP=..., 0,0.33261,0.806892,0.459878, -0.135011, -0.085441,0.035226, 0,...}
As n < 0 or n > 5, hp (n)=0.
HP is the corresponding low-pass filter coefficients in N=5 of Daubechies small echoTimes.GP is The corresponding bandpass filter coefficient in N=5 of Daubechies small echoTimes.
GP=..., gp (- 5), gp (- 4) ..., gp (1), gp (2) ...,
According to gp (n)=(- 1)nHp (1-n) calculates gp (n).
Gp (0)=hp (1), gp (1)=- hp (0), gp (- 1)=- hp (2), gp (- 2)=hp (3), gp (- 3)=- hp (4), (5) gp (- 4)=hp
It is available:
GP=..., 0,0.035226,0.085441, -0.135011, -0.459878,0.806892, -0.33261, 0,...}
As n < -4 or n > 1, gp (n)=0.By iak(m, n) each frame passes through the sequence point obtained after filter HP and GP It is not denoted as: aiak(m, n) and diak(m, n),
By ibk(m, n) each frame passes through the sequence obtained after filter HP and GP and is denoted as respectively: aibk(m, n) and dibk(m, n)。
aiak(m, n) and aibk(m, n) is low frequency part, diak(m, n) and dibk(m, n) is high frequency section.
aiak(m, n) and aibk(m, n) can pass through iak(m, n) signal is obtained with HP and GP difference convolution in the time domain.
diak(m, n) and dibk(m, n) can pass through ibk(m, n) signal is obtained with HP and GP difference convolution in the time domain. The specific method is as follows:
IfIt respectively represents and is less than or equal toMost Big integer.
For arbitrary m frame data, by data diak(m, n), dibk(m, n) is divided into the small frame of 10 subdivisions in order, per thin The length of point small frame isForDiak(m,n) WithDibk(m, n) is abandoned, and calculating is not involved in.The small frame of the subdivision being divided into is denoted as diak (m,p,q),dibk(m, p, q), they indicate q-th of data of p-th of small frame of subdivision of m frame.Each is segmented into small frame Interior diak(m, p, q), dibk(m, p, q) data take absolute value, and then segment in small frame and add up at each, obtained pair Add_dia should be denoted as in A, the accumulated value of B two paths of signalsk(m, n), add_dibk(m,p).It represents each and segments small frame The absolute overall strength of interior high-frequency signal.See below formula:
By the signal aia of the low frequency part obtained by low-pass filterk(m, n), aibk(m, n) takes absolute value, then It adds up in this frame, obtained value is denoted as add_fm_aiak(m), the value represent low frequency part in this frame signal it is strong The total value of degree.Then:
In order under different signal strengths, high-frequency signal each is segmented by the absolute overall strength in small frame sentences When disconnected, judge that thresholding must take into account system work in the case where different load currents, the intensity of signal is different, judges door Limit must adaptively be adjusted with the intensity of signal.One of the total value of the signal strength of low frequency part in this frame is taken thus Ratio takes here as thresholding is judgedRemember thd_add_diak(m), thd_add_dibk(m) as the subdivision in m frame The judgement thresholding of the high frequency section of small frame, it may be assumed that
If desn_add_diak(m, p), desn_add_dibk(m, p) respectively as A, the pth in the m frame of B two-way is thin Divide the judging result of the overall strength of the high-frequency signal of small frame.
Work as add_diak(m,p)≥thd_add_diak(m) when, desn_add_diak(m, p)=1,
Work as add_diak(m, p) < thd_add_diak(m) when, desn_add_diak(m, p)=0,
Work as add_dibk(m,p)≥thd_add_dibk(m) when, desn_add_dibk(m, p)=1,
Work as add_dibk(m, p) < thd_add_dibk(m) when, desn_add_dibk(m, p)=0.
If desnf_diak(m), desnf_dibkIt (m) is the road A, the judgement of the overall strength of the high-frequency signal of the m frame on the road B As a result, then:
The value range of rla (3), rlb (3) are [0:80].
To sentence in calculating then in these three points, the accurate judgement of the position on a timeline of data frame is very crucial, If the position of division data frame on a timeline and actual conditions have error, inconsistent, it is likely that these three points is caused to sentence Grave error occurs for calculating then, to cause to judge by accident.The introducing of voltage synchronous signal uses ring according to actual well The start time point of the border division for having adjusted electric current frame signal adaptive at any time, ensure that the accuracy of calculating.
Step 105 (always sentencing) specifically includes:
Sentence according to point, 1 obtained judging result rla (1), rlb (1), divides and sentence, 2 obtained judging result rla (2), Rlb (2), point sentences, 3 obtained judging result rla (3), rlb (3) can determine it is total sentence it is then as follows:
When meeting following condition simultaneously, system is determined as that fault electric arc produces.
Each threshold value is finely adjusted according to specific applicable cases in the present invention.
Fault electric arc detection sensor provided by the invention includes current transformer, differential circuit and processor etc., electric current The output signal of mutual inductor is divided into two-way, is directly entered processor all the way, and another way enters processor after differential circuit, Processor determines to be detected route failure electric arc, ensure when two paths of signals shows to generate the feature of fault electric arc The accuracy of judging result.Moreover, the present invention judges whether two paths of signals shows the standard of fault electric arc are as follows: consecutive frame letter The high fdrequency component of the variation degree of the signal amplitude of corresponding position, the degree of correlation of adjacent frame signal and frame signal itself in number Relative ratios, the setting of above three standard have further ensured the accuracy of fault electric arc judging result, have further reduced It judges by accident and fails to judge.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For system disclosed in embodiment For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part It is bright.
Used herein a specific example illustrates the principle and implementation of the invention, and above embodiments are said It is bright to be merely used to help understand method and its core concept of the invention;At the same time, for those skilled in the art, foundation Thought of the invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not It is interpreted as limitation of the present invention.

Claims (12)

1. a kind of fault electric arc detection sensor characterized by comprising current transformer, differential circuit and processor;It is tested Survey line road is passed through from the detection zone of the current transformer;
The output end of the current transformer is connect with the input terminal of the input terminal of the differential circuit and the processor respectively, The output end of the differential circuit is connect with the processor input terminal;
The output signal of the current transformer is divided into two-way, is denoted as the first signal and the second signal respectively;First signal Into the processor, the second signal enters the processor after the differential of the differential circuit;
The processor is used to determine whether the detected route event occurs according to first signal and the second signal Hinder electric arc.
2. fault electric arc detection sensor according to claim 1, which is characterized in that further include: the first conditioning circuit and Second conditioning circuit, first conditioning circuit are connected between the current transformer and the processor, and described second adjusts Circuit connection is managed between the differential circuit and the processor.
3. fault electric arc detection sensor according to claim 1, which is characterized in that further include:
Synchronous circuit is connected to the processor, for being the first signal and the second signal described in processor synchronous acquisition Synchronous voltage signal is provided.
4. fault electric arc detection sensor according to claim 1, which is characterized in that the processor is to first letter Number or the second signal continuous sampling, obtain multiple continuous sampled points, to the sampled point carry out equal length interception, obtain Multiple frame signals;The processor includes:
First discrimination module, for determining the variation degree of the signal amplitude of corresponding position in adjacent frame signal;
Second discrimination module, for determining the degree of correlation of adjacent frame signal;
Third discrimination module, the relative ratios of the high fdrequency component for determining frame signal itself;
Fault electric arc determining module, for the variation degree, consecutive frame according to the signal amplitude of corresponding position in adjacent frame signal The relative ratios of the high fdrequency component of the degree of correlation and frame signal of signal itself determine whether the detected route breaks down electricity Arc.
5. fault electric arc detection sensor according to claim 4, which is characterized in that the fault electric arc determining module packet It includes:
First signal judgement unit, the variation journey for the signal amplitude of corresponding position in the adjacent frame signal according to the first signal The relative ratios of the high fdrequency component of the frame signal of the degree of correlation and the first signal of the adjacent frame signal of degree, the first signal itself, really Determine Fisrt fault electric arc judging result;
Second signal judgement unit, the variation journey for the signal amplitude of corresponding position in the adjacent frame signal according to second signal Degree, second signal adjacent frame signal the degree of correlation and second signal frame signal itself high fdrequency component relative ratios, really Fixed second fault electric arc judging result;
Fault electric arc determination unit, for working as the Fisrt fault electric arc judging result and the second fault electric arc judging result When indicating fault electric arc occur, the detected route failure electric arc is determined.
6. the fault electric arc detection sensor stated according to claim 4, which is characterized in that described first differentiates mould according to formulaCalculate corresponding position in adjacent frame signal Signal amplitude change rate df, wherein i (m, n) is n-th of current signal amplitude in m-th frame signal, and i (m+1, n) is the N-th of current signal amplitude in m+1 frame signal, N are the length of frame signal.
7. the fault electric arc detection sensor stated according to claim 4, which is characterized in that second discrimination module is according to formulaCalculate the degree of correlation of adjacent frame signal.
8. the fault electric arc detection sensor stated according to claim 4, which is characterized in that the third discrimination module includes low pass Filter and high-pass filter obtain the low frequency portion of frame signal after frame signal is by the low-pass filter and high-pass filter Point and high frequency section, the high frequency of frame signal itself is determined according to the specific gravity that the high frequency section overall strength accounts for low frequency part overall strength The relative ratios of component.
9. a kind of fault arc detection method characterized by comprising
Continuous sampling is carried out to the collected signal of current transformer;
Equal length division is carried out to continuous sampling point, obtains multiple frame signals;
Determine the variation degree of the signal amplitude of opposite position in adjacent frame signal;
Determine the degree of correlation of adjacent frame signal;
Determine the relative ratios of the high fdrequency component of frame signal itself;
According to the variation degree of the signal amplitude of corresponding position, the degree of correlation of adjacent frame signal and frame signal itself in adjacent frame signal The relative ratios of high fdrequency component determine whether the detected route breaks down electric arc.
10. fault arc detection method according to claim 9, which is characterized in that phase in the adjacent frame signal of the determination The variation degree of the signal amplitude of corresponding position, specifically includes:
According to formulaCalculate phase in adjacent frame signal The change rate df of the signal amplitude of corresponding position, wherein i (m, n) is n-th of current signal amplitude in m-th of frame signal, i (m+ It 1, n) is n-th of current signal amplitude in the m+1 frame signal, N is the length of frame signal.
11. fault arc detection method according to claim 9, which is characterized in that the phase of the adjacent frame signal of the determination Guan Du is specifically included:
According to formulaCalculate the phase of adjacent frame signal Guan Du.
12. fault arc detection method according to claim 9, which is characterized in that the height of described determining frame signal itself The relative ratios of frequency component, specifically include:
Frame signal is filtered using low-pass filter and high-pass filter, obtains the low frequency part and radio-frequency head of frame signal Point, the relative ratios of high fdrequency component are determined according to the specific gravity that the high frequency section overall strength accounts for low frequency part overall strength.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110579682A (en) * 2019-08-22 2019-12-17 国网安徽省电力有限公司 Fault recording data transient homologous comparison method and device
CN111791720A (en) * 2020-07-16 2020-10-20 东莞市高标软件科技有限公司 Electric vehicle control system

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101696986A (en) * 2009-10-26 2010-04-21 吴为麟 Fault arc detection method and protection device adopting same
CN201805222U (en) * 2010-06-28 2011-04-20 沈阳工业大学 Series fault arc detection device adopting wavelet entropy
CN103245897A (en) * 2013-05-02 2013-08-14 复旦大学 Detection method for photovoltaic system direct current fault arc by using multicriterion
CN103401250A (en) * 2013-08-07 2013-11-20 科咨美(上海)电气有限公司 Multifunctional intelligent device for compensating reactive power and adjusting active power
CN103543375A (en) * 2013-08-26 2014-01-29 上海交通大学 Method for detecting alternating-current fault arcs on basis of wavelet transformation and time-domain hybrid features
CN104237737A (en) * 2014-05-31 2014-12-24 三科电器集团有限公司 Fault arc frequency domain detection device
CN104597344A (en) * 2015-01-08 2015-05-06 上海交通大学 Fault arc online detecting method based on wavelet first-layer high-frequency component correlation
KR101570292B1 (en) * 2014-05-23 2015-11-19 성균관대학교산학협력단 Apparatus and method for detecting series arc fault in low voltage dc power distribution system
CN106683318A (en) * 2017-03-21 2017-05-17 北京腾锐视讯科技有限公司 Fault arc fire alarm detector
CN107086855A (en) * 2017-04-25 2017-08-22 西安交通大学 The photovoltaic system fault arc detection method of many time-frequency characteristics is merged in a kind of machine learning
CN107340459A (en) * 2016-11-24 2017-11-10 安徽江淮汽车集团股份有限公司 A kind of DC Line Fault arc method for measuring and system
CN107765138A (en) * 2016-08-23 2018-03-06 丰郅(上海)新能源科技有限公司 A kind of grid monitoring system
CN207352117U (en) * 2017-10-24 2018-05-11 烟台淼盾物联技术有限公司 A kind of fault electric arc detection system
CN207442804U (en) * 2017-11-17 2018-06-01 浙江中科城安消防科技有限公司 A kind of high low-pass filter for fault electric arc detection

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101696986A (en) * 2009-10-26 2010-04-21 吴为麟 Fault arc detection method and protection device adopting same
CN201805222U (en) * 2010-06-28 2011-04-20 沈阳工业大学 Series fault arc detection device adopting wavelet entropy
CN103245897A (en) * 2013-05-02 2013-08-14 复旦大学 Detection method for photovoltaic system direct current fault arc by using multicriterion
CN103401250A (en) * 2013-08-07 2013-11-20 科咨美(上海)电气有限公司 Multifunctional intelligent device for compensating reactive power and adjusting active power
CN103543375A (en) * 2013-08-26 2014-01-29 上海交通大学 Method for detecting alternating-current fault arcs on basis of wavelet transformation and time-domain hybrid features
KR101570292B1 (en) * 2014-05-23 2015-11-19 성균관대학교산학협력단 Apparatus and method for detecting series arc fault in low voltage dc power distribution system
CN104237737A (en) * 2014-05-31 2014-12-24 三科电器集团有限公司 Fault arc frequency domain detection device
CN104597344A (en) * 2015-01-08 2015-05-06 上海交通大学 Fault arc online detecting method based on wavelet first-layer high-frequency component correlation
CN107765138A (en) * 2016-08-23 2018-03-06 丰郅(上海)新能源科技有限公司 A kind of grid monitoring system
CN107340459A (en) * 2016-11-24 2017-11-10 安徽江淮汽车集团股份有限公司 A kind of DC Line Fault arc method for measuring and system
CN106683318A (en) * 2017-03-21 2017-05-17 北京腾锐视讯科技有限公司 Fault arc fire alarm detector
CN107086855A (en) * 2017-04-25 2017-08-22 西安交通大学 The photovoltaic system fault arc detection method of many time-frequency characteristics is merged in a kind of machine learning
CN207352117U (en) * 2017-10-24 2018-05-11 烟台淼盾物联技术有限公司 A kind of fault electric arc detection system
CN207442804U (en) * 2017-11-17 2018-06-01 浙江中科城安消防科技有限公司 A kind of high low-pass filter for fault electric arc detection

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
郭凤仪等: "《矿山智能电器》", 30 June 2018 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110579682A (en) * 2019-08-22 2019-12-17 国网安徽省电力有限公司 Fault recording data transient homologous comparison method and device
CN110579682B (en) * 2019-08-22 2021-10-15 国网安徽省电力有限公司 Fault recording data transient homologous comparison method and device
CN111791720A (en) * 2020-07-16 2020-10-20 东莞市高标软件科技有限公司 Electric vehicle control system
CN111791720B (en) * 2020-07-16 2021-05-14 东莞市高标软件科技有限公司 Electric vehicle control system

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