CN114966171A - Lightning effect test waveform splicing method and system - Google Patents
Lightning effect test waveform splicing method and system Download PDFInfo
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- CN114966171A CN114966171A CN202210518344.6A CN202210518344A CN114966171A CN 114966171 A CN114966171 A CN 114966171A CN 202210518344 A CN202210518344 A CN 202210518344A CN 114966171 A CN114966171 A CN 114966171A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/04—Measuring peak values or amplitude or envelope of ac or of pulses
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/02—Measuring characteristics of individual pulses, e.g. deviation from pulse flatness, rise time or duration
- G01R29/023—Measuring pulse width
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/02—Measuring characteristics of individual pulses, e.g. deviation from pulse flatness, rise time or duration
- G01R29/027—Indicating that a pulse characteristic is either above or below a predetermined value or within or beyond a predetermined range of values
- G01R29/0276—Indicating that a pulse characteristic is either above or below a predetermined value or within or beyond a predetermined range of values the pulse characteristic being rise time
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
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Abstract
The application relates to a lightning effect test waveform splicing method and a system, wherein the lightning effect test waveform splicing method comprises the following steps: waveform discrete data combinations of A waves, B waves, C waves and D waves of lightning impulse current components are obtained through a lightning impulse current component generating device and a collecting device, data processing is carried out on the collected waveform discrete data combinations to obtain splicing data with uniform and continuous data distribution, and the splicing data are displayed by using logarithmic coordinates; the data processing comprises the following steps of signal amplification, offset removal, filtering, down sampling, peak value detection, edge pulse width calculation, data splicing, polynomial interpolation and the like. The invention integrates the tests of different current component combinations into one system, thus greatly improving the test efficiency of the test; the problem of uneven thickness caused by sampling difference of different current component data is solved by adopting a weighted average algorithm; the problem of discontinuous splicing of current components is solved by adopting polynomial interpolation; the data display adopts logarithmic coordinates to solve the problem of uneven distribution of current components.
Description
Technical Field
The application belongs to the technical field of aviation lightning protection experiments, and particularly relates to a lightning effect test waveform splicing method and system.
Background
The airplane lightning direct effect test divides the simulated lightning impulse current into a plurality of different components, and different current components and combinations thereof are selected according to the lightning attachment area for testing.
The current component includes 4 types of A wave, B wave, C wave and D wave. The current component A is initial peak current, the peak value is 200kA, and the duration is less than or equal to 500 mu s; the current component B is intermediate current, the average amplitude is 2kA, and the duration is less than or equal to 5 ms; the current component C is a continuous current with the duration of 0.25 to 1 s; the current component D is the repeated discharge current, the peak value is 100kA, and the duration is less than or equal to 500 mu s.
The lightning attachment area comprises 5 areas 1A, 1B, 2A, 2B, 3. The area 1A is a surface with higher initial lightning attachment probability and higher probability of change of the attachment point position along with time, and the component A and the component B are used for combined test; the area 1B is a surface with higher initial lightning attachment probability and lower time-varying attachment point position probability, and is tested by using component combination of A, B, C and D; the area 2A is a surface which has higher probability of lightning being blown away from the initial attachment point position by airflow and higher probability of change of the attachment point position along with time, and the component combination test of B, C and D is used; the area 2B is a surface which has higher probability of lightning being blown away from the initial attachment point position by the airflow and lower probability of the attachment point position changing along with time, and the component combination test of B, C and D is used; area 3 is the remaining surface, tested using a, C component combination.
In the prior art, four generating devices A, B, C and D are adopted to output four tested current components respectively, and then a collecting device is used to obtain the reliability of a waveform verification test. There are generally two acquisition modes:
each generating device uses a separate acquisition device, and the mode can capture the waveform characteristics of a single current component but cannot acquire the characteristics of component combination;
all generating devices use one acquisition device, which can capture the characteristics of the current component combination, but capture the waveform discontinuity and can not obtain the waveform characteristics of each current component.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a lightning effect test waveform splicing method and system.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a lightning effect test waveform splicing method includes the steps of obtaining waveform discrete data combinations of lightning impulse current components A waves, B waves, C waves and D waves through a lightning impulse current component generating device and a collecting device, conducting data processing on the collected waveform discrete data combinations to obtain splicing data with uniform and continuous data distribution, and displaying the splicing data by using logarithmic coordinates.
Preferably, in the lightning effect test waveform splicing method of the present invention, the data processing includes the following steps:
signal amplification, converting the waveform discrete data combination into an actual waveform combination through A1-A0/mu, wherein A1 represents the actual waveform data combination, A0 represents the acquired waveform discrete data combination, and mu represents a current attenuation coefficient;
de-offsetting, namely obtaining an average offset X by using arithmetic mean on 0-10% data segments of A1, and obtaining a waveform data combination A2 after removing the offset by subtracting the average offset X from A1;
filtering, namely obtaining a filtered waveform data combination A3 by using a moving average filtering algorithm for A2;
down-sampling, and reducing the number of samples of A3 by using a weighted average algorithm to obtain a data combination A4;
peak detection, namely solving a peak point of A4 by using a peak detection algorithm, reversely traversing A4 by taking the peak point as an initial point, taking 90% of the peak point as tr90, 50% of the peak point as tr50 and 10% of the peak point as tr10, forwardly traversing A4 by taking the peak point as the initial point, and taking 50% of the peak point as tt 50;
calculating the rising time and the pulse width of the waveform according to the peak point in the peak detection step, wherein the rising time Tr is (Tr90-Tr10)/0.8, and the pulse width Td is (Tr90-Tr10) × 0.5/0.8+ (tt50-Tr 50);
data splicing, namely judging the type of the current component according to the peak value, the rising time Tr and the pulse width Td of the current component, and sequencing according to the sequence of A waves, B waves, C waves and D waves;
and (3) polynomial interpolation, namely acquiring a peak point of 0% in a rising time period and a peak point of 0% in a falling time period as the starting point and the ending point of the A wave and the D wave of the current components in a peak detection mode, if the peak point of 0% in the falling time period is not acquired, taking the ending point of A4 as the peak point of 0% in the falling time period, acquiring a peak point of 95% in the rising time period and a peak point of 95% in the falling time period as the starting point and the ending point of the B wave and the C wave of the current components, and performing polynomial interpolation between the starting point and the ending point of the current components.
Preferably, in the lightning effect test waveform splicing method, the polynomial interpolation is order linear interpolation.
The invention also provides a lightning effect test waveform splicing system which comprises an equipment driving module, a data processing module and a data display module, wherein the equipment driving module is used for controlling the generating devices and the collecting devices of the four lightning impulse current components of A wave, B wave, C wave and D wave to obtain a waveform discrete data set, the data processing module is used for carrying out data processing on the collected waveform discrete data set to obtain splicing data with uniform and continuous data distribution, and the data display module is used for displaying the processed waveform by using logarithmic coordinates.
Preferably, in the lightning effect test waveform splicing system of the present invention, the data processing module includes the following sub-modules:
the signal amplification sub-module converts the waveform discrete data combination into an actual waveform combination through A1-A0/mu, A1 represents the actual waveform data combination, A0 represents the acquired waveform discrete data combination, and mu represents a current attenuation coefficient;
the offset removing submodule is used for obtaining an average offset X by using arithmetic mean on 0-10% data segments of A1, and the average offset X is subtracted from A1 to obtain a waveform data combination A2 after offset removal;
the filtering submodule obtains a filtered waveform data combination A3 by using a moving average filtering algorithm for A2;
the down-sampling submodule reduces the number of samples of A3 by using a weighted average algorithm to obtain a data combination A4;
the peak detection submodule is used for solving a peak point of A4 by using a peak detection algorithm, reversely traverses A4 by taking the peak point as a starting point, takes 90% of the peak point as tr90, 50% of the peak point as tr50 and 10% of the peak point as tr10, forwardly traverses A4 by taking the peak point as the starting point and takes 50% of the peak point as tt 50;
an edge pulse width calculation submodule for calculating a waveform rise time and a pulse width according to a peak point of the peak detection submodule, wherein the rise time Tr is (Tr90-Tr10)/0.8, and the pulse width Td is (Tr90-Tr10) × 0.5/0.8+ (tt50-Tr 50);
the data splicing submodule judges the type of the current component according to the peak value of the current component, the rising time Tr and the pulse width Td and sorts the current component according to the sequence of A waves, B waves, C waves and D waves;
and the polynomial interpolation sub-module acquires a peak point of 0% of a rising time period and a peak point of 0% of a falling time period as the starting point and the ending point of the A wave and the D wave of the current components in a peak detection mode, and acquires a peak point of 95% of the rising time period and a peak point of 95% of the falling time period as the starting point and the ending point of the B wave and the C wave of the current components by taking the ending point of A4 as the peak point of the falling time period and taking the starting point and the ending point of the B wave and the C wave of the current components if the peak point of 0% of the falling time period is not acquired, and performs polynomial interpolation between the starting point and the ending point of the current components.
The invention has the beneficial effects that:
the invention integrates the tests of different current component combinations into one system, thereby greatly improving the test efficiency; the problem of uneven thickness caused by sampling difference of different current component data is solved by adopting a weighted average algorithm; the problem of discontinuous splicing of current components is solved by adopting polynomial interpolation; the data display adopts logarithmic coordinates to solve the problem of uneven distribution of current components.
Drawings
The technical solution of the present application is further explained below with reference to the drawings and the embodiments.
FIG. 1 is a waveform diagram of current components in the background art of the present application;
FIG. 2 is a flow chart of data processing steps of a lightning effect test waveform splicing method according to an embodiment of the application;
FIG. 3 is a block diagram of a lightning effect test waveform splicing system according to an embodiment of the present application;
fig. 4 is a block diagram of a data processing module according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The technical solutions of the present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Example 1
The embodiment provides a lightning effect test waveform splicing method, which includes the steps of obtaining waveform discrete data combinations of lightning impulse current components of A waves, B waves, C waves and D waves through a lightning impulse current component generating device and a collecting device, carrying out data processing on the collected waveform discrete data combinations to obtain spliced data with uniform and continuous data distribution, and displaying the spliced data by using logarithmic coordinates.
The data processing steps in this embodiment are as shown in fig. 2, and specifically are as follows:
s1, signal amplification, converting the waveform discrete data combination into an actual waveform combination through A1 ═ A0/mu, wherein A1 represents the actual waveform data combination, A0 represents the acquired waveform discrete data combination, and mu represents a current attenuation coefficient;
s2, removing offset, obtaining average offset X by using arithmetic mean to the 0-10% data segment of A1, and obtaining a waveform data combination A2 after removing offset by subtracting the average offset X from A1;
s3, filtering, namely obtaining a filtered waveform data combination A3 for the A2 by using a moving average filtering algorithm;
s4, down-sampling, and reducing the number of samples of the A3 by using a weighted average algorithm to obtain a data combination A4;
s5, peak detection, namely, solving a peak point of the A4 by using a peak detection algorithm, reversely traversing the A4 by taking the peak point as a starting point, taking 90% of the peak point as tr90, 50% of the peak point as tr50 and 10% of the peak point as tr10, forwardly traversing the A4 by taking the peak point as a starting point, and taking 50% of the peak point as tt 50;
s6, calculating edge pulse width, calculating waveform rising time and pulse width according to the peak point in the peak detection step, wherein the rising time Tr is (Tr90-Tr10)/0.8, and the pulse width Td is (Tr90-Tr10) × 0.5/0.8+ (tt50-Tr 50);
s7, splicing data, judging the type of the current component according to the peak value of the current component, the rising time Tr and the pulse width Td, and sequencing according to the sequence of A wave, B wave, C wave and D wave;
and S8, performing polynomial interpolation, namely acquiring a peak value point of 0% in a rising time period and a peak value point of 0% in a falling time period as the starting point and the ending point of the A wave and the D wave of the current components in a peak value detection mode, if the peak value point of 0% in the falling time period is not acquired, taking the ending point of A4 as the peak value point of 0% in the falling time period, acquiring a peak value point of 95% in the rising time period and a peak value point of 95% in the falling time period as the starting point and the ending point of the B wave and the C wave of the current components, and performing polynomial interpolation between the starting point and the ending point of the current components.
The polynomial interpolation method described in this embodiment is order linear interpolation, and in addition, parabolic interpolation, cubic polynomial interpolation, and the like may also be adopted, and the current component splicing may be continuous and complete by adopting polynomial interpolation.
Example 2
The embodiment provides a lightning effect test waveform splicing system, as shown in fig. 3.
Lightning effect test waveform splicing system, including equipment driver module, data processing module and data display module, equipment driver module is used for controlling generating device and the collection system of four thunder and lightning impulse current component A ripples, B ripples, C ripples, D ripples, acquires the waveform discrete data set of A ripples, B ripples, C ripples, D ripples, data processing module carries out analytic processing to the waveform discrete data set of gathering and obtains the even and continuous concatenation data of data distribution, data display module uses the wave form after logarithmic coordinate display handles.
As shown in fig. 4, the data processing module of this embodiment specifically includes the following sub-modules:
the signal amplification sub-module converts the waveform discrete data combination into an actual waveform combination through A1-A0/mu, A1 represents the actual waveform data combination, A0 represents the acquired waveform discrete data combination, and mu represents a current attenuation coefficient;
the offset removing submodule is used for obtaining an average offset X by using arithmetic mean on 0-10% data segments of A1, and the average offset X is subtracted from A1 to obtain a waveform data combination A2 after offset removal;
the filtering submodule obtains a filtered waveform data combination A3 by using a moving average filtering algorithm for A2;
the down-sampling submodule reduces the number of samples of A3 by using a weighted average algorithm to obtain a data combination A4;
the peak detection submodule is used for solving a peak point of A4 by using a peak detection algorithm, reversely traverses A4 by taking the peak point as a starting point, takes 90% of the peak point as tr90, 50% of the peak point as tr50 and 10% of the peak point as tr10, forwardly traverses A4 by taking the peak point as the starting point and takes 50% of the peak point as tt 50;
an edge pulse width calculation submodule for calculating a waveform rise time and a pulse width according to a peak point of the peak detection submodule, wherein the rise time Tr is (Tr90-Tr10)/0.8, and the pulse width Td is (Tr90-Tr10) × 0.5/0.8+ (tt50-Tr 50);
the data splicing submodule judges the type of the current component according to the peak value of the current component, the rising time Tr and the pulse width Td and sorts the current component according to the sequence of A waves, B waves, C waves and D waves;
and the polynomial interpolation sub-module acquires a peak point of 0% of a rising time period and a peak point of 0% of a falling time period as the starting point and the ending point of the A wave and the D wave of the current components in a peak detection mode, and acquires a peak point of 95% of the rising time period and a peak point of 95% of the falling time period as the starting point and the ending point of the B wave and the C wave of the current components by taking the ending point of A4 as the peak point of the falling time period and taking the starting point and the ending point of the B wave and the C wave of the current components if the peak point of 0% of the falling time period is not acquired, and performs polynomial interpolation between the starting point and the ending point of the current components.
Because the pulse width difference of the current components, namely the A wave, the B wave, the C wave and the D wave, is large, the short pulse width current components (the A and D current components) which are less than or equal to 500 mu s are difficult to display by using a common coordinate axis, and therefore, the spliced waveform data is displayed by using a logarithmic coordinate axis in the embodiment, so that the current flow distribution is more uniform.
In light of the foregoing description of the preferred embodiments according to the present application, it is to be understood that various changes and modifications may be made without departing from the spirit and scope of the invention. The technical scope of the present application is not limited to the content of the specification, and must be determined according to the scope of the claims.
Claims (5)
1. A lightning effect test waveform splicing method is characterized in that waveform discrete data combinations of lightning impulse current components A waves, B waves, C waves and D waves are obtained through a lightning impulse current component generating device and a collecting device, data processing is carried out on the collected waveform discrete data combinations to obtain splicing data with uniform and continuous data distribution, and the splicing data are displayed by using logarithmic coordinates.
2. The lightning effect test waveform stitching method of claim 1, wherein the data processing comprises the steps of:
signal amplification, converting the waveform discrete data combination into an actual waveform combination through A1-A0/mu, wherein A1 represents the actual waveform data combination, A0 represents the acquired waveform discrete data combination, and mu represents a current attenuation coefficient;
de-offsetting, namely obtaining an average offset X by using arithmetic mean on 0-10% data segments of A1, and obtaining a waveform data combination A2 after removing the offset by subtracting the average offset X from A1;
filtering, namely obtaining a filtered waveform data combination A3 by using a moving average filtering algorithm for A2;
down-sampling, and reducing the number of samples of A3 by using a weighted average algorithm to obtain a data combination A4;
peak detection, namely solving a peak point of A4 by using a peak detection algorithm, reversely traversing A4 by taking the peak point as an initial point, taking 90% of the peak point as tr90, 50% of the peak point as tr50 and 10% of the peak point as tr10, forwardly traversing A4 by taking the peak point as the initial point, and taking 50% of the peak point as tt 50;
calculating the rising time and the pulse width of the waveform according to the peak point in the peak detection step, wherein the rising time Tr is (Tr90-Tr10)/0.8, and the pulse width Td is (Tr90-Tr10) × 0.5/0.8+ (tt50-Tr 50);
data splicing, namely judging the type of the current component according to the peak value, the rising time Tr and the pulse width Td of the current component, and sequencing according to the sequence of A waves, B waves, C waves and D waves;
and (3) polynomial interpolation, namely acquiring a peak value point of 0% of a rising time period and a peak value point of 0% of a falling time period as the starting point and the ending point of the A wave and the D wave of the current components in a peak value detection mode, if the peak value point of 0% of the falling time period is not acquired, taking the ending point of A4 as the peak value point of 0% of the falling time period, acquiring a peak value point of 95% of the rising time period and a peak value point of 95% of the falling time period as the starting point and the ending point of the B wave and the C wave of the current components, and performing polynomial interpolation between the starting point and the ending point of the current components.
3. The lightning effect test waveform stitching method of claim 2, wherein the polynomial interpolation is an order linear interpolation.
4. The utility model provides a lightning effect test waveform splicing system, its characterized in that includes equipment driver module, data processing module and data display module, equipment driver module is used for controlling generating device and the collection system of four thunder and lightning impulse current component A ripples, B ripples, C ripples, D ripples, acquires the discrete data set of waveform, data processing module carries out data processing to the discrete data set of waveform who gathers and obtains the even and continuous concatenation data of data distribution, data display module uses the wave form after logarithmic coordinate display handles.
5. The lightning effect test waveform stitching system of claim 4, wherein the data processing module comprises sub-modules that:
the signal amplification sub-module converts the waveform discrete data combination into an actual waveform combination through A1-A0/mu, A1 represents the actual waveform data combination, A0 represents the acquired waveform discrete data combination, and mu represents a current attenuation coefficient;
the offset removing submodule is used for obtaining an average offset X by using arithmetic mean on 0-10% data segments of A1, and the average offset X is subtracted from A1 to obtain a waveform data combination A2 after offset removal;
the filtering submodule obtains a filtered waveform data combination A3 by using a moving average filtering algorithm for A2;
the down-sampling submodule reduces the number of samples of A3 by using a weighted average algorithm to obtain a data combination A4;
the peak detection submodule is used for solving a peak point of A4 by using a peak detection algorithm, reversely traverses A4 by taking the peak point as a starting point, takes 90% of the peak point as tr90, 50% of the peak point as tr50 and 10% of the peak point as tr10, forwardly traverses A4 by taking the peak point as the starting point and takes 50% of the peak point as tt 50;
an edge pulse width calculation submodule for calculating a waveform rise time and a pulse width according to a peak point of the peak detection submodule, wherein the rise time Tr is (Tr90-Tr10)/0.8, and the pulse width Td is (Tr90-Tr10) × 0.5/0.8+ (tt50-Tr 50);
the data splicing submodule judges the type of the current component according to the peak value of the current component, the rising time Tr and the pulse width Td and sorts the current component according to the sequence of A waves, B waves, C waves and D waves;
and the polynomial interpolation sub-module acquires a peak point of 0% of a rising time period and a peak point of 0% of a falling time period as the starting point and the ending point of the A wave and the D wave of the current components in a peak detection mode, and acquires a peak point of 95% of the rising time period and a peak point of 95% of the falling time period as the starting point and the ending point of the B wave and the C wave of the current components by taking the ending point of A4 as the peak point of the falling time period and taking the starting point and the ending point of the B wave and the C wave of the current components if the peak point of 0% of the falling time period is not acquired, and performs polynomial interpolation between the starting point and the ending point of the current components.
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| CN202210518344.6A CN114966171A (en) | 2022-05-12 | 2022-05-12 | Lightning effect test waveform splicing method and system |
| PCT/CN2022/102885 WO2023216398A1 (en) | 2022-05-12 | 2022-06-30 | Lightning effect test waveform splicing method and system |
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| CN202210518344.6A CN114966171A (en) | 2022-05-12 | 2022-05-12 | Lightning effect test waveform splicing method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117371377A (en) * | 2023-12-06 | 2024-01-09 | 杭州行芯科技有限公司 | Current waveform acquisition method, computer equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US6175808B1 (en) * | 1999-02-19 | 2001-01-16 | The Aerospace Corporation | Lightning effects monitoring and retest evaluation method |
| CN103048570B (en) * | 2012-12-25 | 2015-01-28 | 武汉大学 | Direct effect testing device for lightning current |
| CN103076472A (en) * | 2013-02-01 | 2013-05-01 | 上海电机学院 | Implementation method for small-scale full-wave direct lightning generator |
| CN105403778B (en) * | 2015-09-17 | 2019-08-02 | 西安交通大学 | A kind of measurement method and system of multiloop sequential working |
| CN105527514B (en) * | 2015-11-30 | 2018-05-22 | 北京宇航***工程研究所 | A kind of special vehicle vehicle thunder and lightning indirect effect test method |
| CN110189743B (en) * | 2019-05-06 | 2024-03-08 | 平安科技（深圳）有限公司 | Splicing point smoothing method and device in waveform splicing and storage medium |
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| CN117371377A (en) * | 2023-12-06 | 2024-01-09 | 杭州行芯科技有限公司 | Current waveform acquisition method, computer equipment and storage medium |
| CN117371377B (en) * | 2023-12-06 | 2024-04-09 | 杭州行芯科技有限公司 | Current waveform acquisition method, computer equipment and storage medium |
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