CN105866635B - A kind of fault electric arc detection method and device - Google Patents
A kind of fault electric arc detection method and device Download PDFInfo
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Abstract
The present invention provides a kind of fault electric arc detection method and devices, belong to electrical fire field.In the present invention, the real-time frequency for obtaining measured signal first, the sample point data of multiple cycles is obtained further according to real-time frequency；Then when the sample waveform of measured signal is there are when flat shoulder, the content of multiple multiple harmonics is obtained according to sample point data；The content of total harmonic wave is obtained according to the content of multiple multiple harmonics；When the content of triple-frequency harmonics in multiple harmonic is in the first pre-set interval, or when the content of total harmonic wave be in the Amplitude Ration of the second pre-set interval and positive and negative cycle and is greater than preset ratio, generation half cycles failure is determined；Finally when the number of half cycles failure in preset time is greater than preset times, judgement produces fault electric arc.The present invention has accurately identified fault electric arc, has avoided false alarm by the fault electric arc detection method and device.
Description
Technical field
The present invention relates to electrical fire field, in particular to a kind of fault electric arc detection method and device.
Background technique
Fault electric arc is a kind of gas ionization electric discharge phenomena and a kind of plasma.Electric current in electric arc is from microcosmic
See it is that electronics and cation are mobile under electric field action as a result, the wherein major part of the mobile composition electric current of electronics.Electric arc
The characteristics of be that temperature is very high, electric current very little, fault electric arc type continue the time it is short, can be frequently occurred if there is breakdown point.Electricity
When arc generates, a large amount of heat can be discharged, it is possible to which the inflammable explosive article for surrounding of igniting causes fire even to explode.Fault electric arc
Main harm be to cause fire, when fault electric arc generates, central temperature is up to 3000 DEG C~4000 DEG C, and with
Metal melt splash comes out.The high temperature high fever that fault electric arc generates, the route insulating layer that easily ignites cause route on fire, if
There are when combustible near fault point, also easily igniting flammable items and lead to the generation of fire.
Fire caused by Chinese 2005 to 2009 years arc faults accounts for the 51% of total electrical fire, and direct economic loss accounts for always
The 36% of fire.The current value of series fault arc is less than circuit rated current, and the current value of parallel arc fault is likely larger than
Rated current, and the starting of household electrical appliance is shoved greater than rated current.
Fault electric arc causes all kinds of fire incidents to occur extensively, and current detection device is difficult to be accurately positioned, and false alarm is very
It is more.And be difficult to provide the data for analysis afterwards, it is difficult to failure cause is further analyzed and to safeguard procedures into
Row, which improves, to be improved.
Summary of the invention
The present invention provides a kind of fault electric arc detection method and devices, it is intended to which solution is difficult to accurately identify in the prior art
Problem more than fault electric arc and false alarm.
On the one hand, the present invention provides a kind of fault electric arc detection methods, which comprises
A. the real-time frequency of measured signal is obtained；
B. the sample point data of multiple cycles of the measured signal is obtained according to the real-time frequency；
C. the sample waveform of the measured signal is judged with the presence or absence of flat shoulder, if so, thening follow the steps d；
D. the content of multiple multiple harmonics is obtained according to the sample point data；
E. judge whether the content of the triple-frequency harmonics in the multiple harmonic is in the first pre-set interval, if so, executing
Step i, if it is not, thening follow the steps f；
F. the content of total harmonic wave is obtained according to the content of the multiple multiple harmonic；
G. judge whether the content of total harmonic wave is in the second pre-set interval, if so, thening follow the steps h；
H. judge whether the Amplitude Ration of positive and negative cycle is greater than preset ratio, if so, thening follow the steps i；
I. determine that half cycles failure occurs；
J. judge whether the number of the half cycles failure in preset time is greater than preset times, if so, thening follow the steps
k；
K. determine to produce fault electric arc.
Second aspect, the present invention provides a kind of fault electric arc detection device, described device includes:
Real-time frequency obtains module, for obtaining the real-time frequency of measured signal；
Sample point data obtains module, and multiple cycles for obtaining according to the real-time frequency measured signal are adopted
Sampling point data；
Flat shoulder judgment module, for judging the sample waveform of the measured signal with the presence or absence of flat shoulder；
Multiple harmonic content obtains module, for obtaining the content of multiple multiple harmonics according to the sample point data；
First pre-set interval judgment module, for judging whether the content of the triple-frequency harmonics in the multiple harmonic is in
One pre-set interval；
Total harmonic distortion obtains module, for obtaining the content of total harmonic wave according to the content of the multiple multiple harmonic；
Second pre-set interval judgment module, for judging whether the content of total harmonic wave is in the second pre-set interval；
Amplitude judgment module, for judging whether the Amplitude Ration of positive and negative cycle is greater than preset ratio；
For determining half cycles failure occurs for half cycles fault determination module；
Number judgment module, for judging whether the number of the half cycles failure in preset time is greater than preset times；
Fault electric arc determination module produces fault electric arc for determining.
In the present invention, due to obtaining the real-time frequency of measured signal first, multiple cycles are obtained further according to real-time frequency
Sample point data；Then when the sample waveform of measured signal is there are when flat shoulder, according to sample point data obtain it is multiple repeatedly
The content of harmonic wave；The content of total harmonic wave is obtained according to the content of multiple multiple harmonics；When the content of triple-frequency harmonics in multiple harmonic
When in the first pre-set interval, or the content of total harmonic wave be in the Amplitude Ration of the second pre-set interval and positive and negative cycle and is greater than and presets
When ratio, determine that half cycles failure occurs；Finally when the number of half cycles failure in preset time is greater than preset times, determine
Produce fault electric arc；Therefore fault electric arc has been accurately identified, has avoided false alarm.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is a kind of flow chart of fault electric arc detection method that the embodiment of the present invention one provides；
Fig. 2 is the fault electric arc detection method another kind flow chart that the embodiment of the present invention one provides；
Fig. 3 is a kind of structural schematic diagram of fault electric arc detection device provided by Embodiment 2 of the present invention；
Fig. 4 is fault electric arc detection device another kind structural schematic diagram provided by Embodiment 2 of the present invention；
Fig. 5 is that fault electric arc detection device real-time frequency provided by Embodiment 2 of the present invention obtains modular structure schematic diagram.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to embodiment party of the present invention
Formula is described in further detail.
Embodiment one:
The embodiment of the present invention one provides a kind of fault electric arc detection method, and referring to Fig. 1, fault electric arc detection method includes
Following steps:
101. obtaining the real-time frequency of measured signal.
In specific implementation, work frequency can be used directly when system boot as real-time frequency, and when system boot is pre-
Step 101 may include: after fixing time
In practical application, a cycle theory sampling number value is more than or equal to 128, the resolution of wave recording data at this time
Rate can reach 0.16ms.Resolution ratio at least will just may detect fault electric arc in 0.42ms or more.
A. the sampling of multiple cycles is carried out to measured signal according to a cycle theory sampling number.
B. multiple cycle actual samples points and cycle are obtained.
C. the time difference of first cycle zero crossing and the last one cycle zero crossing in multiple cycles is obtained.
D. it is obtained according to a cycle theory sampling number, multiple cycle actual samples points, cycle and time difference
The real-time frequency of measured signal.
Step D can be with specifically:
The real-time frequency of measured signal is calculated according to following formula:
Wherein, Freq is real-time frequency, and n is multiple cycle actual samples points, and m is a cycle theory sampling number, a
For the cycle of multiple cycles, insert is the time difference.
For example, multiple cycle actual samples points are 544, multiple cycles when a cycle theory sampling number is 128
Cycle is 4, and when the time difference is 0, it is 53.125Hz that real-time frequency can be got according to above-mentioned formula.
Step D's has the beneficial effect that through software measurement frequency, it is ensured that the time of step 105 progress harmonic content acquisition
Window is correctly, to ensure that the accuracy of fast Fourier algorithm, it is therefore prevented that spectral leakage；Reduce the space of fabric swatch simultaneously,
Hardware cost is saved.
102. obtaining the sample point data of multiple cycles of measured signal according to real-time frequency.
103. judging the sample waveform of measured signal with the presence or absence of flat shoulder, if so, thening follow the steps 104.
In specific implementation, judge that the sample waveform of measured signal can be with the presence or absence of flat shoulder specifically: when judging one section
Slope between interior each point whether less than one slope threshold value.It is 3 to 5ms that period, which can choose,.
104. obtaining the content of multiple multiple harmonics according to sample point data.
It repeatedly can be 2 to 63 times in specific implementation.
In specific implementation, step 104 can be with specifically:
Multiple fast Fourier calculating is carried out to obtain the content of multiple multiple harmonics to sample point data.
Fast Fourier calculates (fast Fourier transform), i.e., calculates discrete Fourier transform using computer
(DFT) efficient, quick calculation method general designation, abbreviation FFT.
105. judging whether the content of the triple-frequency harmonics in multiple harmonic is in the first pre-set interval, if so, executing step
Rapid 109, if it is not, thening follow the steps 106.
In specific implementation, the first pre-set interval can be 14% to 20%.
106. obtaining the content of total harmonic wave according to the content of multiple multiple harmonics.
107. judging whether the content of total harmonic wave is in the second pre-set interval, if so, thening follow the steps 109.
In specific implementation, the second pre-set interval can be 10% to 14% or 20% to 25%.
108. judging whether the Amplitude Ration of positive and negative cycle is greater than preset ratio, if so, thening follow the steps 109.
In specific implementation, preset ratio can be 1.2.
109. determining that half cycles failure occurs.
110. judging whether the number of half cycles failure in preset time is greater than preset times, if so, thening follow the steps
111。
In specific implementation, preset times can be 14 times.
111. judgement produces fault electric arc.
In specific implementation, when the number of half cycles failure in preset time is less than 9 times, it is believed that there is no failures
Electric arc, but have electric discharge phenomena generation, it will record event, user can pass through device panel and communication inquiry；Work as preset time
When the number of interior half cycles failure is between 9 to 14 times, retain as an internal event, only opening is analyzed to research staff
It uses；When the number of half cycles failure in preset time is greater than 14 times, alarm and actuating mechanism can be notified to perform the next step
Movement, and be prepared for wave recording data.
Optionally, as shown in Fig. 2, further including step 112 after step 111.
112. recording the Wave data that multiple cycles of front and back occur for fault electric arc.
Failure wave-recording is carried out by step 112, i.e., in system jam (such as line short, ground connection and system mistake
Voltage, load unbalanced etc.) when, automatically, accurately record the various electrical quantity (main numbers of the forward and backward process of the system failure
Amount, for example, switch state variation, analog quantity, mainly voltage, current values) situation of change, pass through these electrical quantity point
It analyses, compare, to analysis processing accident, judge whether protection correctly acts, improves the effect of system safety operation level.
In specific implementation, after the Wave data and fault electric arc that can recorde 5 cycles before fault electric arc occurs occur
50 cycles Wave data.
Step 112 have the beneficial effect that by record fault electric arc occur front and back multiple cycles Wave data with than
Compared with standard failure arc waveform and actual acquisition waveform, the information of current distortion can be further obtained.
The present embodiment obtains adopting for multiple cycles further according to real-time frequency by the real-time frequency of acquisition measured signal first
Sampling point data；Then when the sample waveform of measured signal is there are when flat shoulder, multiple multiple harmonics are obtained according to sample point data
Content；The content of total harmonic wave is obtained according to the content of multiple multiple harmonics；When the content of triple-frequency harmonics in multiple harmonic is in
When the first pre-set interval, or always the content of harmonic wave is in the second pre-set interval and the Amplitude Ration of positive and negative cycle is greater than preset ratio
When, determine that half cycles failure occurs；Finally when the number of half cycles failure in preset time is greater than preset times, determine to generate
Fault electric arc；Therefore fault electric arc has been accurately identified, has avoided false alarm.
Embodiment two:
Second embodiment of the present invention provides a kind of fault electric arc detection devices, as shown in figure 3, fault electric arc detection device 30
Module 310 is obtained including real-time frequency, sample point data obtains module 320, flat shoulder judgment module 330, multiple harmonic content
It obtains module 340, the first pre-set interval judgment module 350, total harmonic distortion acquisition module 360, the second pre-set interval and judges mould
Block 370, amplitude judgment module 380, half cycles fault determination module 390, number judgment module 3100 and fault electric arc determine
Module 3110.
Real-time frequency obtains module 310, for obtaining the real-time frequency of measured signal；
Sample point data obtains module 320, the sampled point of multiple cycles for obtaining measured signal according to real-time frequency
Data；
Flat shoulder judgment module 330, for judging the sample waveform of measured signal with the presence or absence of flat shoulder；
Multiple harmonic content obtains module 340, for obtaining the content of multiple multiple harmonics according to sample point data；
In specific implementation, it is multiple repeatedly humorous according to the sample point data acquisition of a cycle that multiple harmonic content obtains module
The process of the content of wave specifically:
Multiple fast Fourier calculating is carried out to obtain the content of multiple multiple harmonics to sample point data.
First pre-set interval judgment module 350, for judging whether the content of the triple-frequency harmonics in multiple harmonic is in
One pre-set interval；
Total harmonic distortion obtains module 360, for obtaining the content of total harmonic wave according to the content of multiple multiple harmonics；
Second pre-set interval judgment module 370, for judging whether the content of total harmonic wave is in the second pre-set interval；
Amplitude judgment module 380, for judging whether the Amplitude Ration of positive and negative cycle is greater than preset ratio；
For determining half cycles failure occurs for half cycles fault determination module 390；
Number judgment module 3100, for judging whether the number of half cycles failure in preset time is greater than preset times；
Fault electric arc determination module 3110 produces fault electric arc for determining.
Optionally, as shown in figure 4, fault electric arc detection device 40 further includes failure wave-recording module 3120.
Failure wave-recording module 3130, the Wave data that multiple cycles of front and back occur for recording fault electric arc.
Wherein, as shown in figure 5, it includes sampling unit 311, actual samples points acquisition list that real-time frequency, which obtains module 310,
Member 312, time difference acquiring unit 313 and real-time frequency acquiring unit 314.
Sampling unit 311, for carrying out the sampling of multiple cycles to measured signal according to a cycle theory sampling number；
Actual samples points acquiring unit 312, for obtaining multiple cycle actual samples points and cycle；
Time difference acquiring unit 313, for obtaining first cycle zero crossing in multiple cycles and the last one cycle
The time difference of zero crossing；
Real-time frequency acquiring unit 314, for according to a cycle theory sampling number, multiple cycle actual samples points
Number, cycle and time difference obtain the real-time frequency of measured signal.
In specific implementation, real-time frequency acquiring unit 314 according to a cycle theory sampling number, multiple cycles are practical adopts
Number of samples, cycle and time difference obtain the process of the real-time frequency of measured signal specifically:
The real-time frequency of measured signal is calculated according to following formula:
Wherein, Freq is real-time frequency, and n is multiple cycle actual samples points, and m is a cycle theory sampling number, a
For cycle, insert is the time difference.
In conclusion the present embodiment is obtained more by the real-time frequency of acquisition measured signal first further according to real-time frequency
The sample point data of a cycle；Then it when the sample waveform of measured signal is there are when flat shoulder, is obtained according to sample point data more
The content of a multiple harmonic；The content of total harmonic wave is obtained according to the content of multiple multiple harmonics；When triple-frequency harmonics in multiple harmonic
Content when being in the first pre-set interval, or the content of total harmonic wave is in the second pre-set interval and the Amplitude Ration of positive and negative cycle is big
When preset ratio, determine that half cycles failure occurs；Finally when the number of half cycles failure in preset time is greater than preset times
When, judgement produces fault electric arc；Therefore fault electric arc has been accurately identified, has avoided false alarm.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, the program can store in a kind of computer-readable
In storage medium, storage medium mentioned above can be the readable and writable memory that power down is not lost, disk etc..
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of fault electric arc detection method, which is characterized in that the fault electric arc detection method includes:
A. the real-time frequency of measured signal is obtained；
B. the sample point data of multiple cycles of the measured signal is obtained according to the real-time frequency；
C. the sample waveform of the measured signal is judged with the presence or absence of flat shoulder, if so, thening follow the steps d；
D. the content of multiple multiple harmonics is obtained according to the sample point data；
E. judge whether the content of the triple-frequency harmonics in the multiple harmonic is in the first pre-set interval, if so, thening follow the steps
I, if it is not, thening follow the steps f；
F. the content of total harmonic wave is obtained according to the content of the multiple multiple harmonic；
G. judge whether the content of total harmonic wave is in the second pre-set interval, if so, thening follow the steps h；
H. judge whether the Amplitude Ration of positive and negative cycle is greater than preset ratio, if so, thening follow the steps i；
I. determine that half cycles failure occurs；
J. judge whether the number of the half cycles failure in preset time is greater than preset times, if so, thening follow the steps k；
K. determine to produce fault electric arc；
It is described obtain measured signal real-time frequency the step of include:
Carry out the sampling of multiple cycles to measured signal according to a cycle theory sampling number；
Obtain multiple cycle actual samples points and cycle；
Obtain the time difference of first cycle zero crossing and the last one cycle zero crossing in the multiple cycle；
According to one cycle theory sampling number, the multiple cycle actual samples points, the cycle and described
Time difference obtains the real-time frequency of the measured signal；
It is described according to one cycle theory sampling number, the multiple cycle actual samples points, the cycle and
The time difference obtains the step of real-time frequency of the measured signal specifically:
The real-time frequency of the measured signal is calculated according to following formula:
Wherein, Freq is the real-time frequency, and n is the multiple cycle actual samples points, and m is that one cycle theory is adopted
Number of samples, a are the cycle, and insert is the time difference.
2. fault electric arc detection method according to claim 1, which is characterized in that described to be obtained according to the sample point data
The step of taking the content of multiple multiple harmonics specifically:
Multiple Fast Fourier Transform (FFT) is carried out to obtain the content of multiple multiple harmonics to the sample point data.
3. fault electric arc detection method according to claim 1, which is characterized in that the judgement is broken down the step of electric arc
After rapid further include:
Record the Wave data that multiple cycles of front and back occur for the fault electric arc.
4. a kind of fault electric arc detection device, which is characterized in that the fault electric arc detection device includes:
Real-time frequency obtains module, for obtaining the real-time frequency of measured signal；
Actual samples points obtain module, the sampling of multiple cycles for obtaining the measured signal according to the real-time frequency
Point data；
Flat shoulder judgment module, for judging the sample waveform of the measured signal with the presence or absence of flat shoulder；
Multiple harmonic content obtains module, for obtaining the content of multiple multiple harmonics according to the sample point data；
First pre-set interval judgment module, for judging it is pre- whether the content of the triple-frequency harmonics in the multiple harmonic is in first
If section；
Total harmonic distortion obtains module, for obtaining the content of total harmonic wave according to the content of the multiple multiple harmonic；
Second pre-set interval judgment module, for judging whether the content of total harmonic wave is in the second pre-set interval；
Amplitude judgment module, for judging whether the Amplitude Ration of positive and negative cycle is greater than preset ratio；
For determining half cycles failure occurs for half cycles fault determination module；
Number judgment module, for judging whether the number of the half cycles failure in preset time is greater than preset times；
Fault electric arc determination module produces fault electric arc for determining；
The real-time frequency obtains module
Sampling unit, for carrying out the sampling of multiple cycles to measured signal according to a cycle theory sampling number；
Actual samples points acquiring unit, for obtaining multiple cycle actual samples points and cycle；
Time difference acquiring unit, for obtaining first cycle zero crossing in the multiple cycle and the last one cycle zero passage
The time difference of point；
Real-time frequency acquiring unit, for according to one cycle theory sampling number, the multiple cycle actual samples point
Several, the described cycle and the time difference obtain the real-time frequency of the measured signal；
The real-time frequency acquiring unit is according to one cycle theory sampling number, the multiple cycle actual samples point
Several, the described cycle and the time difference obtain the process of the real-time frequency of the measured signal specifically:
The real-time frequency of the measured signal is calculated according to following formula:
Wherein, Freq is the real-time frequency, and n is the multiple cycle actual samples points, and m is that one cycle theory is adopted
Number of samples, a are the cycle, and insert is the time difference.
5. fault electric arc detection device according to claim 4, which is characterized in that the multiple harmonic content obtains module
The process of the content of multiple multiple harmonics is obtained according to the sample point data of a cycle specifically:
Multiple fast Fourier calculating is carried out to obtain the content of multiple multiple harmonics to the sample point data.
6. fault electric arc detection device according to claim 4, which is characterized in that further include:
Failure wave-recording module, the Wave data that multiple cycles of front and back occur for recording the fault electric arc.
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| CN106840413A (en) * | 2017-03-03 | 2017-06-13 | 苏州科技大学 | High tension electric tower temp measuring system based on technology of Internet of things |
| CN109061415A (en) * | 2018-08-21 | 2018-12-21 | 珠海格力电器股份有限公司 | A kind of fault arc detection method and device, computer installation, computer readable storage medium |
| CN110058133B (en) * | 2019-04-15 | 2021-03-02 | 杭州拓深科技有限公司 | Feedback mechanism-based electric circuit fault arc false alarm optimization method |
| CN110441663B (en) * | 2019-08-22 | 2021-05-07 | 哈尔滨工业大学 | Method for judging direct current series arc fault based on frequency domain stage ratio value |
| CN113419126B (en) * | 2021-06-21 | 2022-12-30 | 合肥美的暖通设备有限公司 | Performance parameter recording method and device, frequency converter, air conditioning equipment and storage medium |
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