CN100449302C - Method and device for rapid and non-destructive identification of bottled yellow rice wine marked wine age - Google Patents

Abstract

The invention discloses a method and a device for quickly and non-destructively identifying bottled rice wine marked wine age. The near-infrared spectrum of the empty bottle of rice wine sample was collected as the background spectrum, and the background spectrum was deducted from the original sample spectrum of the bottled rice wine sample provided by the manufacturer as the real sample spectrum. The characteristic spectrum vector center of the wine age sample; calculate the Mahalanobis distance from the sample to be tested to the characteristic spectrum vector center of the wine age sample, and classify it into the wine age sample class with the smallest distance, so as to judge whether the label wine age is qualified. The invention reduces the amount of calculation by performing Mahalanobis distance analysis on the main components of the near-infrared spectrum of the sample to be tested, and can easily, quickly and non-destructively identify the marked wine age of the rice wine to be tested, and has a high identification accuracy rate.

Description

Method and device for rapid and non-destructive identification of bottled yellow rice wine marked wine age

technical field

The invention relates to a method and device for rapid and non-destructive identification of bottled yellow rice wine marked wine age by using near-infrared spectrum analysis technology.

Background technique

The wine age of rice wine refers to the aging year of the wine, and it has become a common way in the rice wine industry to indicate the quality of the wine with the wine age. The national standard "Yellow Wine" (GB/T 13662-2000) clearly defines the "wine age" and "marked wine age" of rice wine. "Wine age" refers to the number of years for the fermented finished raw wine to be stored in wine jars, wine tanks and other containers; "labeled wine age" refers to the age of the wine marked on the sales package label, which is calculated as the weighted average of the wine age of the blended wine. Yellow rice wine with a wine age of 3 years (or more than 3 years) should be based on high-grade wine (in the national standard "Yellow Wine", rice wine is divided into three grades: high-grade, first-grade and second-grade) as the base wine, and the wine age noted The base wine is not less than 50%. Consumers generally believe that the older the rice wine is, the more fragrant it is, and the older it is, the more valuable it is. Therefore, many merchants take advantage of the psychology of consumers to make a fuss about labeling the age of wine. At present, there are many so-called "five-year-old wines" and "ten-year-old wines" that use low-age yellow rice wines as high-age wines in the market. Falsely reporting the age of wine not only violates the rights and interests of consumers, disrupts the rice wine market, but also seriously affects the reputation of rice wine.

The existing alcohol age identification methods are:

Sensory appraisal method, but the accuracy of its judgment is affected by many factors such as emotional factors, emotional factors, basic quality, physical health, and evaluation environment.

Chemical analysis mainly uses modern instrumental analysis techniques such as high performance liquid chromatography, gas chromatography, mass spectrometry or capillary electrophoresis combined with multivariate statistical methods for qualitative analysis of wine age. The advantage of these methods is that they have been generally recognized as conventional instrumental analysis methods, but the disadvantages are the complicated process of making test samples, long analysis cycle, high cost, low efficiency, and destructive treatment of the samples to be tested.

Near-infrared spectroscopy has the advantages of fast analysis speed, low cost, green analysis and suitable for online detection. With the development of near-infrared spectroscopy instruments and chemometrics, near-infrared spectroscopy analysis technology can fully realize the rapid and non-destructive identification of the age of bottled rice wine.

The invention patent with the publication number CN1789981 discloses a device for rapidly identifying the age of intelligent yellow rice wine based on near-infrared spectroscopy. The detection device uses a light-emitting diode and a filter type near-infrared spectrometer to detect the neck of the rice wine bottle.

Contents of the invention

The purpose of the present invention is to provide a method and device for fast and non-destructive identification of bottled rice wine marked wine age, that is, a method and device for determining whether the wine age of rice wine to be identified is consistent with the marked wine age by using near-infrared spectral analysis technology.

1. Rapid and non-destructive identification method for bottled yellow rice wine marked wine age

1) collect the near-infrared spectrum of the empty bottle of the yellow rice wine sample that manufacturer provides, as background spectrum;

2) Collect near-infrared spectra for a group of bottled rice wine samples _S1 with the same wine age provided by the manufacturer, and obtain the near-infrared spectra of each sample as the original sample spectrum; the original sample spectra of all samples constitute the sample spectrum set;

3) subtract the background spectrum from each original sample spectrum to obtain the sample spectrum of each sample;

4) Perform 21-point smoothing processing on each sample spectrum to obtain the real sample spectrum of each sample;

5) Perform principal component analysis on all real sample spectra to obtain the sample characteristic wavelength set;

6) Take the spectral value at the characteristic wavelength of the sample to form the characteristic spectral vector X _s1 , perform mean value processing on all the characteristic spectral vectors X _s1 to obtain the sample characteristic spectral vector center X _so1 ;

7) Process the bottled rice wine samples S _i of other groups of wine age according to 2) to 6) respectively to obtain a group of sample characteristic spectral vector centers X _soi ;

8) Collect the near-infrared spectrum of the bottled yellow wine to be identified, and after processing its near-infrared spectrum according to 3) and 4), get the spectral value at its characteristic wavelength to form the characteristic spectrum vector of the yellow rice wine to be tested, and calculate the characteristic of the yellow rice wine to be tested The Mahalanobis distance value d _j from the spectral vector to the sample characteristic spectral vector center, record the sample characteristic spectral vector center X _soj with the minimum value of d _j , then judge that the sample is consistent with the wine age of the sample corresponding to the characteristic spectral vector center X _soj .

The method of calculating the Mahalanobis distance value d _j from the characteristic spectrum vector of the rice wine to be tested to the center of the characteristic spectrum vector of the sample is:

$\mathrm{<span\; class="notranslate">\; d</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; S</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; N</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; Si</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; Soji</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$

d(S, S _j )——the Mahalanobis distance from the sample S to be tested to the center X _soj of the characteristic spectrum vector of the sample S _j ;

x _Si - the i-th component of the characteristic spectrum vector X _s of the sample S to be tested;

x _Soji ——the i-th component of the characteristic spectral vector center X _soj of the sample S _j .

2. Rapid and non-destructive identification device for labeling wine age in bottled rice wine

Including computer, light source, incident optical fiber, incident optical fiber holder, detection bracket, sample positioning and clamping table, receiving lens, receiving optical fiber, grating-type optical fiber spectrometer, trigger circuit, reverser and workpiece detection sensor. The outgoing surface of the light source is connected to the receiving surface of the incident fiber, the incident fiber is connected to the incident fiber holder, and the incident fiber holder is fixed on one side of the detection bracket; the incident fiber holder and the receiving lens are arranged coaxially opposite, and the receiving lens is tightly It is fixed on the other side of the detection bracket; one end of the receiving fiber is connected to the receiving lens, and the other end is connected to the grating-type fiber optic spectrometer, which is connected to the computer through a USB cable; the sample positioning and clamping table is fastened to the detection bracket Bottom; the workpiece detection sensor is installed at the bottom of the detection bracket and on the side close to the incident fiber holder; the output end of the workpiece detection sensor is connected to the input end of the reverser, and the output end of the reverser is connected to the input end of the trigger circuit to trigger The output end of the circuit is connected with the grating type fiber optic spectrometer.

The trigger circuit is a trigger circuit composed of CB7555, the 2-pin u _i signal of the timer CB7555 is output by the workpiece detection sensor and input through the inverter, and the resistor R, the first capacitor C1 and the 5V power supply and ground form a charge-discharge circuit , the second capacitor C2 is connected between pin 1 and pin 5 of the timer CB7555, pins 4 and 8 are connected to U _DD , pins 6 and 7 are short-circuited and connected between the resistor R and the first capacitor C1 During, trigger circuit output signal u ₀ is output by 3 pins of timer CB7555.

The beneficial effect of the present invention is: by performing the Mahalanobis distance analysis on the main components of the near-infrared spectrum of the sample to be tested, the amount of calculation is reduced, and the marked wine age of the rice wine to be tested can be easily, quickly and nondestructively identified, and the identification accuracy is high .

Description of drawings

Fig. 1 is a flow chart of fast and non-destructive identification and analysis of bottled yellow rice wine marked wine age;

Fig. 2 is a schematic diagram of a fast and non-destructive identification device for labeling wine age in bottled rice wine;

Figure 3 is a trigger circuit diagram composed of CB7555;

Figure 4 shows the classification results of 4-year-old and 5-year-old sample sets.

In Figure 2: 1. Computer; 2. Light source; 3. Incident optical fiber; 4. Incident optical fiber holder; Type fiber optic spectrometer; 10. Trigger circuit; 11. Inverter; 12. Workpiece detection sensor.

Detailed ways

A rapid and non-destructive identification method for bottled rice wine marked wine age based on near-infrared spectroscopy analysis technology:

1) collect the near-infrared spectrum of the empty bottle of the yellow rice wine sample that manufacturer provides, as background spectrum;

2) Collect near-infrared spectra for a group of bottled rice wine samples _S1 with the same wine age provided by the manufacturer, and obtain the near-infrared spectra of each sample as the original sample spectrum; the original sample spectra of all samples constitute the sample spectrum set;

3) subtract the background spectrum from each original sample spectrum to obtain the sample spectrum of each sample;

4) Perform 21-point smoothing processing on each sample spectrum to obtain the real sample spectrum of each sample;

5) Perform principal component analysis on all real sample spectra to obtain the sample characteristic wavelength set;

6) Take the spectral value at the characteristic wavelength of the sample to form the characteristic spectral vector X _s1 , perform mean value processing on all the characteristic spectral vectors X _s1 to obtain the sample characteristic spectral vector center X _so1 ;

7) Process the bottled rice wine samples S _i of other groups of wine age according to 2) to 6) respectively to obtain a group of sample characteristic spectral vector centers X _soi ;

8) Collect the near-infrared spectrum of the bottled yellow wine to be identified, and after processing its near-infrared spectrum according to 3) and 4), get the spectral value at its characteristic wavelength to form the characteristic spectrum vector of the yellow rice wine to be tested, and calculate the characteristic of the yellow rice wine to be tested The Mahalanobis distance value d _j from the spectral vector to the sample characteristic spectral vector center, record the sample characteristic spectral vector center X _soj with the minimum value of d _j , then judge that the sample is consistent with the wine age of the sample corresponding to the characteristic spectral vector center X _soj .

The invention adopts a principal component-Mahalanobis distance discriminant analysis method to establish a wine age identification model based on near-infrared spectrum analysis technology for labeling bottled rice wine.

First, principal component analysis is performed.

Principal component analysis is an uncorrelated linear combination of spectral values (m×n matrix) at the characteristic wavelengths of the samples to construct the rice wine sample set. In the present invention, the 10 principal components with the largest variance contribution rate are selected, and the cumulative variance contribution rate is greater than 80%.

Secondly, the Mahalanobis distance discriminant analysis method was used to conduct discriminant analysis on the spectral information array X of the rice wine sample set.

For p yellow rice wine sample sets S ₁ , S ₂ ,..., S _p marked with wine age, their characteristic spectrum vector centers X _soj are calculated respectively. For an object S to be measured, use formula 1 to calculate its Mahalanobis distance to the center _Xsoj of the characteristic spectrum vector of each sample:

$\mathrm{<span\; class="notranslate">\; d</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; S</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; N</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; Si</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; Soji</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$

d(S, S _j )——the Mahalanobis distance from the sample S to be tested to the center X _soj of the characteristic spectrum vector of the sample S _j

x _Si ——the i-th component of the characteristic spectrum vector X _s of the sample S to be tested

x _Soji - the i-th component of the characteristic spectral vector center X _soj of the sample S _j

Then, according to the distance between the object S to be tested and the rice wine sample set S ₁ , S ₂ ,..., S _p to determine the belonging of the sample:

S∈S _j such as d(S, S _j )=min{d(S, S ₁ ), d(S, S ₂ ),..., d(S, S _p )} (2)

When the identification result is the same as the marked wine age of the bottled rice wine to be tested, it is determined that the marked wine age is correct.

The identification model of the present invention has a correct rate of not less than 95% for labeling the wine age of the modeling sample, and not less than 90% for the labeling of the bottled rice wine to be tested.

The device used to realize the rapid and non-destructive identification of bottled rice wine labeling wine age based on near-infrared spectral analysis technology is:

As shown in Figure 2, the bottled rice wine labeling wine age based on near-infrared spectral analysis technology of the present invention is quickly and non-destructively identified, including a computer 1, a light source 2, an incident optical fiber 3, an incident optical fiber holder 4, a detection bracket 5, and a sample positioning clip tight platform 6, receiving lens 7, receiving optical fiber 8, grating fiber optic spectrometer 9, trigger circuit 10, inverter 11, workpiece detection sensor 12. The outgoing surface of the light source 2 is connected to the receiving surface of the incident optical fiber 3, the incident optical fiber 3 is connected to the incident optical fiber holder 4, and the incident optical fiber holder 4 is fixed on one side of the detection bracket 5; the incident optical fiber holder 4 and the receiving lens 7 are in the same shape The shafts are oppositely arranged, and the receiving lens 7 is fastened on the other side of the detection bracket 5; one end of the receiving optical fiber 8 is connected to the receiving lens 7, and the other end is connected to the grating-type fiber optic spectrometer 9, and the grating-type fiber optic spectrometer 9 is connected through a USB cable. Connect with the computer 1; the sample positioning and clamping platform 6 is fastened on the bottom of the detection bracket 5; the workpiece detection sensor 12 is installed on the bottom of the detection bracket 5 and close to the side of the incident fiber holder 4; the output end of the workpiece detection sensor 12 is connected to the reverse The input end of the inverter 11 is connected, the output end of the inverter 11 is connected with the input end of the trigger circuit 10, and the output end of the trigger circuit 10 is connected with the grating type fiber optic spectrometer 9.

The light source 2 of the present invention selects the HL-2000-HP light source (HL-2000-HP Tungsten Halogen Light Source) of American Ocean Optics Inc. (Ocean Optics Inc., USA) for use; UV lens fixture (74-UV Lens Fixtures); the receiving lens 7 selects the 84-UV-25 lens (84-UV-25 Lens Fixture) of American Ocean Optics; 600-1200nm; the trigger circuit 10 uses a monostable trigger composed of 555 integrated timers; the inverter 11 uses a 74LS14 inverter; the workpiece detection sensor 12 uses a PL-P-Y pressure transmitter.

As shown in Figure 3, described trigger circuit 10 is the trigger circuit that is made up of CB7555, and the 2 pin u _i signals of timer CB7555 are output by workpiece detection sensor 12 and input through inverter 11, resistance R, first electric capacity C1 It forms a charging and discharging circuit with 5V power supply and ground, the second capacitor C2 is connected between pin 1 and pin 5 of the timer CB7555, pins 4 and 8 are connected to U _DD , pins 6 and 7 are shorted and connected Between the resistor R and the first capacitor C1, the output signal _u0 of the trigger circuit is output by pin 3 of the timer CB7555.

The present invention illustrates concrete work process in conjunction with Fig. 1, Fig. 2, Fig. 3:

Turn on light source 2 and preheat for 30 minutes. Turn on the computer 1 and open the spectrum acquisition software, and set the parameters.

According to the bottle shape and size of the bottled rice wine to be tested, select a sample positioning and clamping platform 6 suitable for the corresponding shape and size, and fasten the sample positioning and clamping platform 6 to the bottom of the detection bracket 5 . Then, the samples to be tested (including empty bottles and bottled rice wine to be tested) are placed in the sample positioning and clamping table 6 .

After the workpiece detection sensor 12 detects the pressure signal (high voltage signal) of the sample, the signal is output to the inverter 11; the inverter 11 converts the high voltage signal into a low voltage signal, and outputs it to the trigger circuit 10 as the Input signal u _i . The system triggers the grating-type fiber optic spectrometer 9 through the trigger circuit 10, and the grating-type fiber optic spectrometer 9 enters a working state. When there is no pressure signal (low voltage signal) of the sample, the signal output from the inverter 11 to the trigger circuit 10 is a high voltage signal, the trigger circuit 10 is in a stable state, and the grating-type fiber optic spectrometer 9 does not work.

First collect the spectrum of the empty bottle, and then collect the near-infrared spectrum of the bottled rice wine to be tested.

The light emitted by the light source 2 is irradiated onto the bottled rice wine to be tested through the incident optical fiber 3 and the incident optical fiber holder 4, and the receiving lens 7 collects the transmitted light passing through the detected part of the bottled rice wine to be tested, and maps it to the receiving optical fiber 8.

The optical fiber 8 transmits the optical signal to the grating-type spectrometer 9 , and the grating-type spectrometer 9 converts the optical signal into a spectral digital signal and inputs it into the computer 1 .

In the computer 1, install the software compiled by the bottled rice wine labeling wine age fast nondestructive identification analysis flow chart shown in Figure 1, then carry out the yellow rice wine label wine age fast nondestructive identification test;

Figure 4 is the classification result of the 4-year-old and 5-year-old sample sets, and one of the 4-year-old wine samples is marked as 5-year-old, which is clearly shown in Figure 4.

Claims (4)

1. A fast and non-destructive identification method for labeling wine age in bottled rice wine, characterized in that the steps of the method are as follows: 1) collect the near-infrared spectrum of the empty bottle of the yellow rice wine sample that manufacturer provides, as background spectrum; 2) Collect near-infrared spectra for a group of bottled rice wine samples _S1 with the same wine age provided by the manufacturer, and obtain the near-infrared spectra of each sample as the original sample spectrum; the original sample spectra of all samples constitute the sample spectrum set; 3) subtract the background spectrum from each original sample spectrum to obtain the sample spectrum of each sample; 4) Perform 21-point smoothing processing on each sample spectrum to obtain the real sample spectrum of each sample; 5) Perform principal component analysis on all real sample spectra to obtain the sample characteristic wavelength set; 6) Take the spectral value at the characteristic wavelength of the sample to form the characteristic spectral vector X _s1 , perform mean value processing on all the characteristic spectral vectors X _s1 to obtain the sample characteristic spectral vector center X _so1 ; 7) Process the bottled rice wine samples S _i of other groups of wine age according to 2) to 6) respectively to obtain a group of sample characteristic spectral vector centers X _soi ; 8) Collect the near-infrared spectrum of the bottled yellow wine to be identified, and after processing its near-infrared spectrum according to 3) and 4), get the spectral value at its characteristic wavelength to form the characteristic spectrum vector of the yellow rice wine to be tested, and calculate the characteristic of the yellow rice wine to be tested The Mahalanobis distance value d _j from the spectral vector to the sample characteristic spectral vector center, record the sample characteristic spectral vector center X _soj with the minimum value of d _j , then judge that the sample is consistent with the wine age of the sample corresponding to the characteristic spectral vector center X _soj . 2. a kind of bottled yellow rice wine labeling wine age fast non-destructive identification method according to claim 1 is characterized in that: the method for calculating the Mahalanobis distance value d _j of the characteristic spectrum vector of yellow rice wine to be measured to the sample characteristic spectrum vector center is: $\mathrm{<span\; class="notranslate">\; d</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; S</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; S</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; N</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; Si</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; Soji</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$ d(S, S _j )——the Mahalanobis distance from the sample S to be tested to the center X _soj of the characteristic spectrum vector of the sample S _j ; x _Si - the i-th component of the characteristic spectrum vector X _s of the sample S to be tested; x _Soji ——the i-th component of the characteristic spectral vector center X _soj of the sample S _j . 3. A fast and non-destructive identification device for labeling wine age in bottled rice wine, characterized in that it includes a computer (1), a light source (2), an incident optical fiber (3), an incident optical fiber holder (4), a detection bracket (5), a sample Positioning and clamping table (6), receiving lens (7), receiving optical fiber (8), grating type fiber optic spectrometer (9), trigger circuit (10), inverter (11) and workpiece detection sensor (12); light source ( 2) is connected to the receiving surface of the incident fiber (3), the incident fiber (3) is connected to the incident fiber holder (4), and the incident fiber holder (4) is fixed on one side of the detection bracket (5); The optical fiber holder (4) and the receiving lens (7) are coaxially oppositely arranged, and the receiving lens (7) is fastened on the other side of the detection bracket (5); one end of the receiving optical fiber (8) is connected to the receiving lens (7). ), the other end is connected to the grating-type fiber optic spectrometer (9), and the grating-type fiber optic spectrometer (9) is connected to the computer (1) through a USB cable; the sample positioning and clamping table (6) is fastened to the bottom of the detection bracket (5) The workpiece detection sensor (12) is installed on the bottom of the detection bracket (5) and near the side of the incident optical fiber holder (4); the output end of the workpiece detection sensor (12) is connected with the input end of the inverter (11), and the reverse The output end of the directing device (11) is connected with the input end of the trigger circuit (10), and the output end of the trigger circuit (10) is connected with the grating type optical fiber spectrometer (9). 4. A fast and non-destructive identification device for labeling wine age of bottled rice wine according to claim 3, characterized in that: the trigger circuit (10) is a trigger circuit composed of CB7555, and the 2-pin u of timer CB7555 _{The i} signal is output by the workpiece detection sensor (12) and input through the inverter (11). The resistor R, the first capacitor C1 and the 5V power supply and ground form a charging and discharging circuit. The second capacitor C2 is connected to the 1 pin of the timer CB7555 and Between the 5 pins, the 4 and 8 pins are connected to U _DD , the 6 and 7 pins are short-circuited and connected between the resistor R and the first capacitor C1, the output signal _u0 of the trigger circuit is output by the pin 3 of the timer CB7555 pin output.

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