CN118244003B - Intelligent spectrum analysis method and intelligent spectrum analyzer - Google Patents
Intelligent spectrum analysis method and intelligent spectrum analyzer Download PDFInfo
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- CN118244003B CN118244003B CN202410630424.XA CN202410630424A CN118244003B CN 118244003 B CN118244003 B CN 118244003B CN 202410630424 A CN202410630424 A CN 202410630424A CN 118244003 B CN118244003 B CN 118244003B
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- 238000001228 spectrum Methods 0.000 title claims abstract description 82
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000010183 spectrum analysis Methods 0.000 title claims abstract description 25
- 238000012360 testing method Methods 0.000 claims abstract description 65
- 238000004458 analytical method Methods 0.000 claims abstract description 25
- 238000012937 correction Methods 0.000 claims abstract description 12
- 238000013461 design Methods 0.000 claims description 15
- 239000011324 bead Substances 0.000 claims description 5
- 239000003990 capacitor Substances 0.000 claims description 5
- 230000005855 radiation Effects 0.000 claims description 5
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000003595 spectral effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R23/00—Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
- G01R23/16—Spectrum analysis; Fourier analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
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Abstract
The invention belongs to the technical field of test authentication, and particularly relates to an intelligent spectrum analysis method and an intelligent spectrum analyzer. The intelligent spectrum analysis method comprises the following steps: and acquiring a frequency spectrum waveform, judging whether the frequency spectrum waveform exceeds the standard according to preset standard data, generating a test result, and displaying the frequency spectrum waveform and the test result together. The invention has good user experience, and greatly saves the time of engineers and the rectifying cost of companies. Is very friendly to engineers, even novice engineers, and can quickly locate problems from the cause analysis and correction suggestions given by the instrument.
Description
Technical Field
The invention belongs to the technical field of test authentication, and particularly relates to an intelligent spectrum analysis method and an intelligent spectrum analyzer.
Background
In the existing spectrum analyzers, the existing spectrum analyzers are all non-intelligent spectrum analyzers, as shown in fig. 1, the instrument equipment is used for testing the EUT, then the spectrum waveforms are displayed through the display screen, engineers judge the problems of the EUT equipment through the spectrum waveforms, and the rectification and the adjustment of the EUT equipment are carried out automatically. And then tested again. Until the EUT device meets the test criteria.
The prior art has the following problems:
1. expensive.
2. The user experience is poor, and is very unfriendly to novice engineers, and engineers not responsible for EMC are essentially inexperienced when they encounter EUT devices that are not tested. Engineers may even take a significant amount of time to change the device to a standard, such as one month or even several months. Time and labor costs are wasted.
Disclosure of Invention
The invention aims at solving the technical problems that the existing spectrum analyzers are non-intelligent and the user experience is poor, and provides an intelligent spectrum analysis method and an intelligent spectrum analyzer.
To solve the foregoing technical problem, a first aspect of the present invention provides an intelligent spectrum analysis method, including:
And acquiring a frequency spectrum waveform, judging whether the frequency spectrum waveform exceeds a standard according to preset standard data, generating a test result, and displaying the frequency spectrum waveform and the test result together.
Optionally, in the foregoing intelligent spectrum analysis method, the standard data includes at least one of national standard, european standard, american standard and custom standard.
Optionally, in the foregoing intelligent spectrum analysis method, the determining whether the spectrum waveform exceeds a standard according to preset standard data includes:
and acquiring single-point data of the frequency spectrum waveform according to a preset frequency acquisition rule, adding a preset residual value to the single-point data, and comparing the single-point data with standard data to judge whether the standard is exceeded.
Optionally, in the intelligent spectrum analysis method as described above, the standard data is also displayed simultaneously when the spectrum waveform and the test result are displayed together.
Optionally, in the intelligent spectrum analysis method as described above, the standard data is highlighted in the form of a standard line.
Optionally, in the foregoing intelligent spectrum analysis method, if the spectrum waveform does not exceed the standard, the test result is passed, the spectrum waveform and the test result are saved, and the test is completed;
If the frequency spectrum waveform exceeds the standard, the test result is not passed, and the corresponding exceeding reason and effective correction measure are obtained according to the exceeding data and a preset analysis algorithm and displayed together with the frequency spectrum waveform and the test result.
Optionally, in the foregoing intelligent spectrum analysis method, the analysis algorithm includes a plurality of judgment factors and a plurality of judgment logics, where the judgment logics are a combination of the plurality of judgment factors, and the judgment factors are calculated according to the out-of-standard data to obtain the judgment logics.
Optionally, in the intelligent spectrum analysis method as described above, the analysis algorithm is data pre-stored into a memory, and the memory is linked with a remote database to update the analysis algorithm.
Optionally, in the foregoing intelligent spectrum analysis method, the preset judgment factor includes at least one of the following:
The amount of superscalar data;
Whether the superscalar data is frequency doubling point data or not;
and (5) the out-of-standard data is in which preset frequency band range.
Optionally, in the intelligent spectrum analysis method as described above, the cause of the exceeding standard includes at least one of the following:
the clock circuit handles the problem;
Printed circuit board design (PCB Layout);
the design of the power supply part is problematic, so that radiation disturbance exceeds standard;
the low frequency band of the circuit is focused on the analog band design, and the focus is on the analog circuit.
Optionally, in the intelligent spectrum analysis method as described above, the effective modifying measure includes at least one of the following:
Adding magnetic beads of corresponding frequency bands into a clock circuit;
The clock generation circuit is connected with a resistor in series;
making a multi-layer board design;
adding an X capacitor to the power input part;
The analog circuit part adjusts the RC value and adds a differential mode filter circuit.
To solve the foregoing technical problem, a second aspect of the present invention provides an intelligent spectrum analyzer, including:
The analysis module is used for acquiring the frequency spectrum waveform, judging whether the frequency spectrum waveform exceeds the standard according to preset standard data, generating a test result, and displaying the frequency spectrum waveform and the test result together.
And the display is used for displaying the data.
Optionally, in the intelligent spectrum analyzer as described above, the intelligent spectrum analyzer further includes:
And the memory is used for storing analysis algorithms and is linked with the remote database.
The invention has the positive progress effects that:
1. The invention has good user experience, and greatly saves the time of engineers and the rectifying cost of companies. Is very friendly to engineers, even novice engineers, and can quickly locate problems from the cause analysis and correction suggestions given by the instrument.
2. The method and the device have the advantages that the spectrometer is intelligent through an analysis algorithm, and the method of purely relying on engineers in traditional equipment testing and debugging is broken through.
Drawings
The present disclosure will become more apparent with reference to the accompanying drawings. It is to be understood that these drawings are solely for purposes of illustration and are not intended as a definition of the limits of the invention. In the figure:
FIG. 1 is a diagram showing the whole test modification procedure of a conventional spectrum analyzer;
FIG. 2 is a diagram of a test modification procedure according to the present invention;
FIG. 3 is a diagram showing an interface according to the present invention.
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which is to be read in light of the specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention.
It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
In the description of the present invention, it should be noted that, for the azimuth terms, such as terms "outside," "middle," "inside," "outside," and the like, the azimuth and positional relationships are indicated based on the azimuth or positional relationships shown in the drawings, only for convenience in describing the present invention and simplifying the description, but not to indicate or imply that the apparatus or element to be referred to must have a specific azimuth, be configured and operated in a specific azimuth, and should not be construed as limiting the specific protection scope of the present invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features. Thus, the definition of "a first", "a second" feature may explicitly or implicitly include one or more of such feature, and in the description of the present invention, the meaning of "a number", "a number" is two or more, unless otherwise specifically defined.
The embodiment of the invention provides an intelligent spectrum analysis method, which comprises the following steps:
and acquiring a frequency spectrum waveform, judging whether the frequency spectrum waveform exceeds the standard according to preset standard data, generating a test result, and displaying the frequency spectrum waveform and the test result together.
The invention can acquire the frequency spectrum waveform by connecting with the equipment to be tested (EUT), after acquiring the frequency spectrum waveform, the invention not only displays the frequency spectrum waveform, but also analyzes the frequency spectrum waveform, and the analysis waveform judges whether the frequency spectrum waveform exceeds the standard according to the preset standard. The predetermined criteria may be a number of criteria that may allow the user to select and then test the device under test. If the test is not out of standard, the test is passed, if the test is out of standard, the modification and adjustment of the EUT equipment are needed, and then the connection test is carried out again until the EUT equipment meets the test standard.
The invention displays the spectrum waveform and the test result together, so that a user can quickly know the test result without manually determining the standard spectrum waveform and the standard.
In some embodiments, the standard data includes at least one of national standards, european standards, american standards, and custom standards.
Several standard data may be pre-imported into the intelligent spectrum analyzer of the present invention for intelligent spectrum analysis.
In some embodiments, determining whether the spectrum waveform exceeds the standard according to the preset standard data includes:
And acquiring single-point data of the frequency spectrum waveform according to a preset frequency acquisition rule, adding a preset residual value to the single-point data, and comparing the single-point data with standard data to judge whether the standard is exceeded.
When the data comparison is carried out, the data acquisition can be carried out according to a certain rule, for example, the data acquisition is carried out by using the frequency values of n, 2n or 2.5n (n is a natural number larger than 0) and other rules. And a sliding window can be adopted to search the peak value as an acquisition point for data acquisition. Of course, the acquisition of single-point data can also be performed in a random acquisition mode.
The invention also increases the margin value involved in the data comparison, which can allow the user to make selections or inputs prior to testing. For example, the residual values are 3db, 5db, 10db, etc. When judging a certain single point data of the spectrum waveform, the single point data cannot exceed the standard data, and at least the margin of the single point data and the standard data is above the preset margin value.
In some embodiments, the spectral waveforms are presented along with the test results, along with standard data.
Preferably, the standard data is highlighted in the form of standard lines. As shown in fig. 3, the spectral waveform is blue data, and the standard data (EN 55015) is located above the spectral waveform and is a red standard line. Since the spectrum waveform is not out of standard and the lowest margin is 11db, the test result is passed.
Of course, when data display is performed, the frequency of the acquisition points and the corresponding single-point data, notes and other information can be displayed.
In some embodiments, if the spectrum waveform is not out of standard, the test result is passed, the spectrum waveform and the test result are saved, and the test is completed. If the frequency spectrum waveform exceeds the standard, the test result is not passed, and the corresponding exceeding reason and effective correction measure are obtained according to the exceeding data and the preset analysis algorithm and displayed together with the frequency spectrum waveform and the test result.
The invention not only provides the test result for the user, but also provides the possible reasons and effective correction measures for the failed test result under the condition that the test result fails. The user can quickly position the problem according to the given reasons and the correction proposal, solve the problem, and after the problem is solved, the device connection and the test are carried out again. By the mode, the user experience is good, and the time, labor cost and correction cost of engineers are greatly saved.
In some embodiments, the analysis algorithm includes a plurality of judgment factors and a plurality of judgment logics, the judgment logics are combinations of the plurality of judgment factors, and the judgment factors are calculated according to the out-of-standard data to obtain the judgment logics.
The judging factors and the judging logic are obtained by analyzing the frequency spectrum waveforms of various types of products, and the possible reasons and the rectifying and modifying modes of the EUT equipment are correspondingly obtained, so that engineers are helped to quickly locate the problem, and the problem is solved.
The preset judgment factors include, but are not limited to, at least one of the following: the amount of superscalar data; whether the superscalar data is frequency doubling point data or not; and (5) the out-of-standard data is in which preset frequency band range.
And obtaining a specific judgment factor according to the standard exceeding data. For example, the out-of-standard data (i.e., out-of-standard single point data) is single or exceeds a preset number. The superscalar data is frequency doubling point data or is not frequency doubling point data. The over standard data is in the low frequency range, the medium frequency range or the high frequency range. Wherein, a plurality of frequency ranges can be preset.
The judgment logic may include a combination of the number of the superscalar data and whether the superscalar data is frequency doubling point data, a combination of the number of the superscalar data and which preset frequency band range the superscalar data is located, and the like. The judgment logics correspond to the reasons of exceeding standard and effective correction measures.
In some embodiments, the analysis algorithm of the present invention is data pre-stored into a memory that is linked to a remote database to update the analysis algorithm.
The user can update the judgment factors and judgment logic in the memory continuously at any time by updating the data of the remote database.
In some embodiments, the cause of the superscalar includes, but is not limited to, at least one of: the clock circuit handles the problem; printed circuit board design (PCB Layout); the design of the power supply part is problematic, so that radiation disturbance exceeds standard; the low frequency band of the circuit is focused on the analog band design, and the focus is on the analog circuit.
In some embodiments, effective corrective measures include, but are not limited to, at least one of: adding magnetic beads of corresponding frequency bands into a clock circuit; the clock generation circuit is connected with a resistor in series; making a multi-layer board design; adding an X capacitor to the power input part; the analog circuit part adjusts the RC value and adds a differential mode filter circuit.
For example, the determination logic is a combination of the number of the superscalar data and whether the superscalar data is double frequency point data, specifically, when the superscalar data is single, that is, the single point data is superscalar, and the single point data is double frequency point data.
The corresponding reasons for the superscalar are:
1. The clock circuit handles the problem;
2. printed circuit board design.
The effective rectifying measures are as follows:
1. Adding magnetic beads of corresponding frequency bands into a clock circuit;
2. The clock generation circuit is connected with a resistor in series;
3. And (5) designing a multi-layer board.
For another example, the determining logic is a combination of the number of the superscalar data and which preset frequency range the superscalar data is in, specifically, when the superscalar number is batch (exceeds a preset number threshold) and the superscalar data is in the low frequency range (the collected frequency is smaller than a preset frequency value/is in the preset low frequency range).
The corresponding reasons for the superscalar are:
1. The design of the power supply part is problematic, so that radiation disturbance exceeds standard;
2. The low frequency band of the circuit is focused on the analog band design, and the focus is on the analog circuit.
The effective rectifying measures are as follows:
1. Adding an X capacitor to the power input part;
2. the analog circuit part adjusts the RC value and adds a differential mode filter circuit.
The present invention also provides an intelligent spectrum analyzer, comprising:
the analysis module is used for acquiring the frequency spectrum waveform, judging whether the frequency spectrum waveform exceeds the standard according to preset standard data, generating a test result, and displaying the frequency spectrum waveform and the test result together.
And the display is used for displaying the data.
In some embodiments, a display is used to present the spectral waveforms and test results.
Preferably, the display is also used to present standard data.
Preferably, the display is also used to show the cause of the overstep and the effective corrective action.
In some embodiments, the intelligent spectrum analyzer further comprises:
And the memory is used for storing the analysis algorithm and is linked with the remote database.
Example 1:
referring to fig. 2, the intelligent spectrum analyzer of the present invention is connected with EUT, and the intelligent spectrum analyzer is operated to start a test, obtain a spectrum waveform, display the spectrum waveform, determine whether the spectrum waveform exceeds a standard according to standard data, and display a test result.
And when the test result is passed, storing the spectrum waveform and the test result, and completing the test.
And when the test result is that the test result does not pass, acquiring corresponding standard exceeding reasons and effective correction measures according to the standard exceeding data and a preset analysis algorithm, and displaying the standard exceeding reasons and the effective correction measures.
And the engineer alters the EUT according to the displayed out-of-standard reasons and effective altering measures.
After the rectification is finished, the intelligent spectrum analyzer is connected with the EUT again, and the test is started again.
The present invention has been described in detail with reference to the embodiments of the drawings, and those skilled in the art can make various modifications to the invention based on the above description. Accordingly, certain details of the embodiments are not to be interpreted as limiting the invention, which is defined by the appended claims.
Claims (7)
1. An intelligent spectrum analysis method, characterized in that the intelligent spectrum analysis method comprises:
Acquiring a frequency spectrum waveform, judging whether the frequency spectrum waveform exceeds a standard according to preset standard data, generating a test result, and displaying the frequency spectrum waveform and the test result together;
if the frequency spectrum waveform exceeds the standard, the test result is not passed, and the corresponding exceeding reason and effective correction measure are obtained according to the exceeding data and a preset analysis algorithm and displayed together with the frequency spectrum waveform and the test result;
the analysis algorithm comprises a plurality of judgment factors and a plurality of judgment logics, wherein the judgment logics are combinations of the plurality of judgment factors, and the judgment factors are calculated according to the exceeding data to obtain the judgment logics;
obtaining the judging factors according to the exceeding data, wherein the judging factors comprise the situation that the exceeding data is single or exceeds the preset quantity, the situation that the exceeding data is frequency doubling point data or is not frequency doubling point data, and the situation that the exceeding data is in a low frequency range, a medium frequency range or a high frequency range, and a plurality of frequency ranges are preset;
The judging logic comprises a combination of the number of the exceeding data and whether the exceeding data is frequency multiplication point data or not, and a combination of the number of the exceeding data and a preset frequency range in which the exceeding data is located;
when the superscalar data is single and the superscalar data is double frequency point data,
The corresponding reasons for the superscalar are:
the clock circuit handles the problem;
Designing a printed circuit board;
The corresponding effective rectifying measures are as follows:
Adding magnetic beads of corresponding frequency bands into a clock circuit;
The clock generation circuit is connected with a resistor in series;
making a multi-layer board design;
When the superscalar data is in bulk and the superscalar data is in low frequency band superscalar,
The corresponding reasons for the superscalar are:
the design of the power supply part is problematic, so that radiation disturbance exceeds standard;
the low-frequency section of the circuit is mainly designed with problems in the analog section, and the analog circuit is mainly designed with problems in the analog section;
The corresponding effective rectifying measures are as follows:
adding an X capacitor to the power input part;
The analog circuit part adjusts the RC value and adds a differential mode filter circuit.
2. The intelligent spectrum analysis method of claim 1, wherein the standard data comprises at least one of national standards, european standards, american standards and custom standards;
When the spectrum waveform and the test result are displayed together, the standard data are displayed at the same time;
The standard data are highlighted in the form of standard lines.
3. The intelligent spectrum analysis method according to claim 1, wherein the determining whether the spectrum waveform exceeds the standard according to the preset standard data comprises:
and acquiring single-point data of the frequency spectrum waveform according to a preset frequency acquisition rule, adding a preset residual value to the single-point data, and comparing the single-point data with standard data to judge whether the standard is exceeded.
4. The intelligent spectrum analysis method according to any one of claims 1 to 3, wherein if the spectrum waveform is not out of standard, the test result is passed, the spectrum waveform and the test result are saved, and the test is completed.
5. The intelligent spectrum analysis method according to claim 4, wherein the analysis algorithm is data pre-stored into a memory linked with a remote database to update the analysis algorithm.
6. An intelligent spectrum analyzer, characterized in that the intelligent spectrum analyzer comprises:
The analysis module is used for acquiring a frequency spectrum waveform, judging whether the frequency spectrum waveform exceeds a standard according to preset standard data, generating a test result, and displaying the frequency spectrum waveform and the test result together; if the frequency spectrum waveform exceeds the standard, the test result is not passed, and the corresponding exceeding reason and effective correction measure are obtained according to the exceeding data and a preset analysis algorithm and displayed together with the frequency spectrum waveform and the test result;
a display for displaying data;
the analysis algorithm comprises a plurality of judgment factors and a plurality of judgment logics, wherein the judgment logics are combinations of the plurality of judgment factors, and the judgment factors are calculated according to the exceeding data to obtain the judgment logics;
obtaining the judging factors according to the exceeding data, wherein the judging factors comprise the situation that the exceeding data is single or exceeds the preset quantity, the situation that the exceeding data is frequency doubling point data or is not frequency doubling point data, and the situation that the exceeding data is in a low frequency range, a medium frequency range or a high frequency range, and a plurality of frequency ranges are preset;
The judging logic comprises a combination of the number of the exceeding data and whether the exceeding data is frequency multiplication point data or not, and a combination of the number of the exceeding data and a preset frequency range in which the exceeding data is located;
when the superscalar data is single and the superscalar data is double frequency point data,
The corresponding reasons for the superscalar are:
the clock circuit handles the problem;
Designing a printed circuit board;
The corresponding effective rectifying measures are as follows:
Adding magnetic beads of corresponding frequency bands into a clock circuit;
The clock generation circuit is connected with a resistor in series;
making a multi-layer board design;
When the superscalar data is in bulk and the superscalar data is in low frequency band superscalar,
The corresponding reasons for the superscalar are:
the design of the power supply part is problematic, so that radiation disturbance exceeds standard;
the low-frequency section of the circuit is mainly designed with problems in the analog section, and the analog circuit is mainly designed with problems in the analog section;
The corresponding effective rectifying measures are as follows:
adding an X capacitor to the power input part;
The analog circuit part adjusts the RC value and adds a differential mode filter circuit.
7. The intelligent spectrum analyzer of claim 6, wherein the intelligent spectrum analyzer further comprises:
And the memory is used for storing analysis algorithms and is linked with the remote database.
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| CN109187044A (en) * | 2018-08-20 | 2019-01-11 | 江西中汽瑞华新能源科技有限公司 | A kind of safe self-checking system of bus |
| CN114116845A (en) * | 2021-11-26 | 2022-03-01 | 观为监测技术无锡股份有限公司 | Fault report generation method, device and storage medium |
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| CN111368919B (en) * | 2020-02-25 | 2023-08-22 | 重庆大学 | Feature data construction method, data set construction method, data classification method, EMC fault diagnosis method and system |
| CN113484649A (en) * | 2021-07-30 | 2021-10-08 | 南通通明集团有限公司 | Outdoor power equipment fault detection method based on fault current |
| CN117741546A (en) * | 2023-11-14 | 2024-03-22 | 国网河北省电力有限公司营销服务中心 | Smart energy meter fault prediction method and device |
| CN117783858A (en) * | 2024-02-06 | 2024-03-29 | 阳新弘盛铜业有限公司 | Motor health diagnosis system based on spectrum analysis |
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| CN109187044A (en) * | 2018-08-20 | 2019-01-11 | 江西中汽瑞华新能源科技有限公司 | A kind of safe self-checking system of bus |
| CN114116845A (en) * | 2021-11-26 | 2022-03-01 | 观为监测技术无锡股份有限公司 | Fault report generation method, device and storage medium |
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