CN109085440A - A kind of piezo electrical property automatic testing method - Google Patents
A kind of piezo electrical property automatic testing method Download PDFInfo
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- CN109085440A CN109085440A CN201811118885.XA CN201811118885A CN109085440A CN 109085440 A CN109085440 A CN 109085440A CN 201811118885 A CN201811118885 A CN 201811118885A CN 109085440 A CN109085440 A CN 109085440A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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Abstract
The invention discloses a kind of piezo electrical property automatic testing methods, comprising steps of being directed to each model, obtain the amplitude-frequency curve of the piezo of corresponding model electrical property qualification；Amplitude-frequency curve is sampled with a sample frequency, sampling feature, that is, the frequency sampled and corresponding amplitude are obtained, using above-mentioned sampling feature as the feature of the model；The feature combination of all models obtains model features database；When actually detected, the sampling feature in current piezo amplitude-frequency curve to be measured is extracted, is matched model pre-stored characteristics are corresponded in feature and model features database；The differentiation result of electrical property is obtained according to matching result.The present invention establishes model features database for the piezo of each model, when actually comparing, determines testing result by the way that whether judging characteristic matches, and has the advantages that the accurate high, using flexible of detection.
Description
Technical field
The present invention relates to piezo quality testing research field, in particular to a kind of piezo electrical property side of detection automatically
Method.
Background technique
Electrical property detection is the important link of piezoelectric ceramics buzzing tablet quality control, since its day constant and annual output are all non-
Chang great, the demand detected automatically are very urgent.
Currently used be still traditional artificial detection method mostly, and this method is to estimate spectrum analyzer by worker to generate
Electric voltage frequency curve, after the curve that notes abnormalities, manually reject substandard product.Since piezo yield is big, cause to put into people
Work needs very much, while artificial long-term observation same curve be easy to cause visual fatigue.And the standard right and wrong that the vision of people is formed
Quantify non-constant scale, be easy to cause the fluctuation of quality standard, identification of each detection workman for product quality, is all root
Differentiate by rule of thumb according to the trend of amplitude-frequency response curve, the quantitative criteria that do not fix.In addition, piezo is thin, it is affectedly bashful shifting
Easily embrittlement damages during dynamic.
With automated image analysis technology popularizing in the industrial production, there are also research and propose by obtaining frequency spectrum point
The frequency curve that analyzer measures, it is whether qualified come the quality for judging piezo by extracting curvilinear characteristic, but this research pair
There is very high requirement in the accuracy of feature extraction, is easy to judge by accident when carrying out characteristic matching.
Summary of the invention
The purpose of the present invention is to overcome the shortcomings of the existing technology with it is insufficient, a kind of piezo electrical property is provided and is detected automatically
Method, this method establish model features database for the piezo of each model, special by judgement when actually comparing
Whether sign matches to determine testing result, divides credit rating, has the advantages that Detection accuracy height, using flexible.
The purpose of the present invention is realized by the following technical solution: a kind of piezo electrical property automatic testing method, including
Step:
For each model, the amplitude-frequency curve of the piezo of corresponding model electrical property qualification is obtained；
Amplitude-frequency curve is sampled with a sample frequency, obtains sampling feature, that is, the frequency sampled and right
The amplitude answered, using above-mentioned sampling feature as the feature of the model；The feature combination of all models obtains model features data
Library；
When actually detected, the sampling feature in current piezo amplitude-frequency curve to be measured is extracted, feature and model is special
Model pre-stored characteristics are corresponded in sign database to be matched；
The differentiation result of electrical property is obtained according to matching result.
Preferably, the amplitude-frequency curve of the piezo of electrical property qualification is obtained, step is:
The piezo is placed in detection zone, records its model；
Its amplitude-frequency curve is obtained by spectrum analyzer, the curve data extracted for subsequent characteristics is a certain moment
The part amplitude-frequency curve of interception.
Preferably, before establishing model features database using amplitude-frequency curve, denoising step is first carried out, step is:
Gaussian Blur is first carried out, then radio-frequency component is extracted by high-pass filtering, details is extracted using Laplace operator, is increased by adjusting
Benefit enhancing details, then synthesized with the figure of Gaussian Blur.The noise letter of amplitude-frequency curve can be eliminated using above-mentioned denoising step
Number interference.
Preferably, model features database is established, step is:
(1) it sets the initial frequency fst of amplitude-frequency curve and terminates frequency fen, preset sample frequency fs；
(2) the corresponding frequency values fr and amplitude Ar of maximum amplitude point is obtained；
(3) from frequency fr to frequency fen scanning is terminated, when amplitude is lower than first threshold, first minimum point is found,
It is denoted as frequency values fa and range value Aa；
(4) amplitude-frequency curve is sampled with a sample frequency fs, obtains sampling feature；
(5) the corresponding standard quality characteristic of the model piezo is obtained according to features described above point and sampling feature
Pond；
(6) piezo of all models repeats the above steps, and each model standard quality characteristic pond combines to obtain model
Property data base.
Further, at the standard quality characteristic pond for establishing a kind of model, by way of being repeatedly averaging,
The feature that multi-disc is obtained with the piezo measurement of the electrical property qualification of model is averaged, as in standard quality characteristic pond
Characteristic value.
Several Local Extremum coordinates and the conduct of total extreme point number before only being extracted in compared to the prior art
The feature matched select global maximum as characteristic point in the present invention, while screening out the interference of non-characteristic around it, selection
The apparent local minizing point of the feature of specific region is as characteristic point on curve, then again according to the energy acquired with sample frequency
The acquisition characteristics for enough reflecting curve overall trend, collectively form feature vector, recognition accuracy is greatly improved.
Preferably, when actually detected, the feature for including in current piezo amplitude-frequency curve to be measured is extracted, step is:
The model for obtaining current piezo to be measured reads and corresponds to model initial frequency and termination frequency in model property data base
Rate；
The online amplitude-frequency curve for obtaining current piezo to be measured, extracts the characteristic point in amplitude-frequency curve and adopts
Sample feature；
Features described above point coordinate is compared with character pair point coordinate in model features database, calculates above-mentioned sampling
The related coefficient of feature sampling feature corresponding with model features database, judges whether to each fall within Discrepancy Control Area, if
It falls into, then determines qualification, otherwise determine unqualified.
Further, the Discrepancy Control Area refers to:
When characteristic point coordinate compares, the error range of frequency, amplitude and distance is lower than preset threshold value；
Related coefficient is higher than preset threshold value.
The present invention compared with the existing technology, have following advantages and effects
(1) present invention automatic detection can be can be carried out to the electrical property of piezoelectric ceramics piezo, have it is safe and accurate, reliable,
The high advantage of detection efficiency.
(2) present invention establishes model features database for the piezo of each model, proceeds from the situation as a whole to extract complete
The sampling feature of office's maximum of points and the overall situation, while the apparent local minimum of a feature is selected also according to the characteristics of piezo
As supplement, entire characteristic extraction procedure is simple, but high reliablity, and the accuracy of detection is high.Meanwhile establishing control errors model
It encloses, can avoid the mistakes and omissions and loss of artificial detection, be allowed to better objective examination criteria and reduce product loss.
Detailed description of the invention
Fig. 1 is the work flow diagram of the present embodiment detection device.
Fig. 2 is the flow chart for establishing model features database in the present embodiment offline.
Fig. 3 is the flow chart that characteristic matching is carried out when the present embodiment is actually detected.
Specific embodiment
Present invention will now be described in further detail with reference to the embodiments and the accompanying drawings, but embodiments of the present invention are unlimited
In this.
The purpose of the present embodiment is to carry out piezo electrical property to detect automatically, in order to better understand the present invention detection method
Application scenarios are described to using the hardware system of this method here.
The present embodiment provides a kind of piezoelectric ceramics piezo electrical property automatic detection device, including it is spectrum analyzer, upper
Machine, piezo automatic feeding system；The spectrum analyzer, host computer, piezo automatic feeding system are sequentially connected electrically.It is upper
Machine includes electrical property recognition detection system, and the recognition detection system includes and spectrum analyzer and piezo automatic feeding system
Communication module, piezo model management module, the electrical property recognition detection module communicated.The piezo model manages mould
Block includes database and database management function, the model features database established offline for loading the present embodiment.The electricity
Performance recognition detection module is the software module of detection method, for online detection.
Its course of work is referring to Fig. 1, and steps are as follows:
After (1-1) system electrification, piezo model to be checked is first selected, spectrum analyzer is shaken hands with host computer and connect, upper
Electrical property intelligent identification detection system issues feeding instruction to piezo automatic feeding system in machine；
(1-2) host computer obtains the amplitude-frequency curve of piezo by communicating with spectrum analyzer；
(1-3) electrical property recognition detection module acquires the qualitative character value of the amplitude-frequency curve of piezo, is analyzed
And detection, show judging result；
(1-4) according to judging result, it is qualified that electrical property intelligent identification detection system is sent to piezo automatic feeding system
The shunting of product and substandard product instructs.
(1-5) repeats step (1-2) and (1-4), until all product testings terminate.
A kind of piezo electrical property automatic testing method of the present embodiment is realized on host computer by software program, main to wrap
Include two steps of offline created model features database and on-line checking.
One, offline created model features database
Referring to fig. 2, the step of establishing model features database is as follows:
The qualified piezo of a piece of known models is placed in detection zone by (2-1), and spectrum analyzer obtains its amplitude-frequency
Curve is sent to upper electromechanical properties recognition detection system.
(2-2) denoises the amplitude-frequency curve smoothing, smoothing denoising preferably: first carry out Gaussian Blur,
Radio-frequency component is extracted by high-pass filtering again, extracts details using Laplace operator, by adjusting gain suppression details, then with
The figure of Gaussian Blur synthesizes.
(2-3) sets and stores initial frequency fst and terminate frequency fen and sample frequency fs.
(2-4) records maximum amplitude point corresponding frequency values fr and its amplitude Ar.
(2-5) finds the frequency f that first amplitude is 0.707*Ar from frequency fr to frequency fen scanning is terminatedH.It is maximum
Amplitude point periphery might have the fluctuation of data, be easy to judge by accident if directly acquiring minimum point, present invention setting
This threshold value of 0.707*Ar, can skip non-characteristic point, directly select the apparent local minizing point of feature.
(2-6) is from fHTo frequency fen scanning is terminated, first minimum point is found, and record its frequency values fa and amplitude
Value Aa.
(2-7) samples amplitude-frequency curve with frequency fs, the frequency fi and corresponding amplitude that record sampling obtains
Ai, i indicate number of sampling points.
All characteristic point coordinate parameters and (2-7) of (2-8) storage above-mentioned (2-3) and (2-6) record obtain all
Feature is sampled, the model of the piezo is stored, is formed and model piezo corresponding standard quality characteristic pond.
The qualified piezo of another same model is placed in detection zone by (2-9), is repeated step (2-1) to (2-8), is obtained
Take 5 standard quality characteristic ponds of qualified piezo of 5 same models.
Each of obtained 5 standard quality characteristic ponds feature is stored as the flat of 5 data by (2-10)
Mean value；
(2-11) repeats step (2-1) to (2-10) to new model piezo, establishes model features database.
Two, on-line checking
Referring to Fig. 3, the step of the present embodiment on-line checking, is:
(3-1) according to selected piezo model to be checked, read correspond in model property data base model initial frequency with
Frequency parameter is terminated, sends and instructs to spectrum analyzer communication module, keeps the initial frequency of spectrum analyzer and termination frequency full
Foot piezo model requirement to be measured.
(3-2) spectrum analyzer is sent to upper electromechanical properties intelligence after the amplitude-frequency curve that line obtains piezo
Recognition detection system.
(3-3) characteristic point data and is adopted with obtaining in standard quality characteristic pond when offline created model features database
The process of sample feature is identical, and electrical property recognition detection module obtains all characteristic points and the sampling spy of current piezo to be measured
Sign.
The characteristic point data that (3-4) electrical property recognition detection module will acquire and corresponding feature in model features database
Point data compares, and the related coefficient between the sampling feature for calculating acquisition sampling feature corresponding with database.If
All data are within Discrepancy Control Area and related coefficient is greater than given threshold, then determine that product electrical property is qualified.Feature
The error range and correlation coefficient threshold of data are set by user according to credit rating.For example, the mistake of frequency, amplitude and distance
Poor range can be set as positive and negative 3 measurement units of reference axis, and correlation coefficient threshold is set as 0.8.
(3-5) will determine that consequential signal sends piezo automatic feeding system to and shunts.
The above embodiment is a preferred embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment
Limitation, other any changes, modifications, substitutions, combinations, simplifications made without departing from the spirit and principles of the present invention,
It should be equivalent substitute mode, be included within the scope of the present invention.
Claims (7)
1. a kind of piezo electrical property automatic testing method, which is characterized in that comprising steps of
For each model, the amplitude-frequency curve of the piezo of corresponding model electrical property qualification is obtained；
Amplitude-frequency curve is sampled with a sample frequency, obtains sampling feature, that is, the frequency sampled and corresponding
Amplitude, using above-mentioned sampling feature as the feature of the model；The feature combination of all models obtains model features database；
When actually detected, the sampling feature in current piezo amplitude-frequency curve to be measured is extracted, by feature and model features number
It is matched according to model pre-stored characteristics are corresponded in library；
The differentiation result of electrical property is obtained according to matching result.
2. piezo electrical property automatic testing method according to claim 1, which is characterized in that obtain electrical property qualification
The amplitude-frequency curve of piezo, step is:
The piezo is placed in detection zone, records its model；
Its amplitude-frequency curve is obtained by spectrum analyzer, the curve data extracted for subsequent characteristics is the interception of a certain moment
Part amplitude-frequency curve.
3. piezo electrical property automatic testing method according to claim 1, which is characterized in that bent using amplitude-frequency
Before line establishes model features database, denoising step is first carried out, step is: first carrying out Gaussian Blur, then mentioned by high-pass filtering
Radio-frequency component is taken, extracts details using Laplace operator, is closed by adjusting gain suppression details, then with the figure of Gaussian Blur
At.
4. piezo electrical property automatic testing method according to claim 1, which is characterized in that establish model features data
Library, step are:
(1) it sets the initial frequency fst of amplitude-frequency curve and terminates frequency fen, preset sample frequency fs；
(2) the corresponding frequency values fr and amplitude Ar of maximum amplitude point is obtained；
(3) from frequency fr to frequency fen scanning is terminated, when amplitude is lower than first threshold, first minimum point is found, is denoted as
Frequency values fa and range value Aa；
(4) amplitude-frequency curve is sampled with a sample frequency fs, obtains sampling feature；
(5) the model piezo corresponding standard quality characteristic pond is obtained according to features described above point and sampling feature；
(6) piezo of all models repeats the above steps, and each model standard quality characteristic pond combines to obtain model features
Database.
5. piezo electrical property automatic testing method according to claim 4, which is characterized in that establishing a kind of model
When standard quality characteristic pond, by way of being repeatedly averaging, multi-disc is surveyed with the piezo of the electrical property qualification of model
The feature measured is averaged, as the characteristic value in standard quality characteristic pond.
6. piezo electrical property automatic testing method according to claim 4, which is characterized in that when actually detected, extract
The feature for including in current piezo amplitude-frequency curve to be measured, step is:
The model for obtaining current piezo to be measured reads and corresponds to model initial frequency and termination frequency in model property data base；
The online amplitude-frequency curve for obtaining current piezo to be measured extracts the characteristic point in amplitude-frequency curve and samples special
Sign；
Features described above point coordinate is compared with character pair point coordinate in model features database, calculates above-mentioned sampling feature
The related coefficient of sampling feature corresponding with model features database, judges whether to each fall within Discrepancy Control Area, if fallen into,
Then determine qualification, otherwise determines unqualified.
7. piezo electrical property automatic testing method according to claim 6, which is characterized in that the Discrepancy Control Area
Refer to:
When characteristic point coordinate compares, the error range of frequency, amplitude and distance is lower than preset threshold value,
Related coefficient is higher than preset threshold value.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811118885.XA CN109085440B (en) | 2018-09-25 | 2018-09-25 | Automatic detection method for electrical property of buzzer |
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| CN201811118885.XA CN109085440B (en) | 2018-09-25 | 2018-09-25 | Automatic detection method for electrical property of buzzer |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110647890A (en) * | 2019-08-28 | 2020-01-03 | 惠州市德赛西威智能交通技术研究院有限公司 | High-performance image feature extraction and matching method, system and storage medium |
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