KR101139805B1 - Cracked egg quality decision system and method - Google Patents

Abstract

The present invention relates to a wave egg quality determination system and method for determining the normal egg and the wave egg by detecting the sound spectrum after hitting the equator portion of the egg many times to determine the power spectrum and the maximum resonant frequency. The system of the present invention, the transport means for transporting the egg to be examined; A track movement sensor for monitoring the transport of the transport means; Object detection sensor for detecting the presence or absence of the egg passing through the reference position; At least one hitting part for hitting the egg to be examined; A blow control unit controlling the hitting unit to hit the test target egg which is rotated by the transfer means when the test target egg reaches the test position according to the track movement detecting sensor and the detection signal of the object detecting sensor; At least one microphone for collecting sound waves of the beaten egg; And a computer unit for processing the sound wave signals collected through the microphone to determine the wave egg and the normal egg. The correlation coefficient between the normalized power spectrum of each sound wave signal obtained from the following multiple hits, the maximum resonant frequency of each signal, and their standard deviation can be accurately determined.

Wave shell, egg quality judgment, blow, sound wave, 1 rotation, power spectrum, maximum resonance frequency

Description

CRACKED EGG QUALITY DECISION SYSTEM AND METHOD}

The present invention relates to a system and method for determining the quality of an egg, and more particularly, to determine a normal egg and a broken egg by determining the power spectrum and the maximum resonant frequency by detecting sound waves after hitting the equator of the egg many times. System and method.

Consumers' preference for high quality livestock products has made the quality evaluation and grading process of eggs even more important. At present, the grading of eggs in Korea is managed by the livestock grading station, and experienced grading judges judge the appearance quality of egg shells by inspecting the eggs sampled in the egg sorting process, and inspecting the light and halan test. Through the determination of the condition of egg yolk, the height of rich egg white, the presence of foreign matters and heavy rain, etc., the quality grade is assigned. In addition, the eggs should be examined for shell eggs and the grade is re-adjusted according to the permissible range of shell quality for each quality grade. Here, the shell is an egg whose eggshell is cracked but the egg shell has not been damaged because the egg shell is not damaged.

In addition, the current inspection of the pagran eggs are evaluated by the light emitter to the individual eggs, but if exposed to light for a long time, there is a possibility of false eye due to the increased eye fatigue, there is a difficulty in detecting the fine wave. In addition, since such a rating may be controversial because subjective views are reflected, mechanization is necessary for objectification of rating.

1 is an automatic method for inspecting egg surface defects disclosed in Korean Laid-Open Patent Publication No. 1999-0042018 and using sound wave reactions generated by hitting an egg and the buttocks to examine cracks in eggshells in the apparatus. Figure is shown.

Referring to FIG. 1, after detecting the presence / absence of the inspection object egg 20 transferred by the conveying roller 15 with the photo sensor 16, hitting the attachment of the inspection object egg 20 to the solenoid 12. Strike the rod 11, and collect the sound waves generated from the hit eggs 20 with the microphone 13 located on the opposite side of the striking rod 11, amplified in the preamplifier 14 and analyzed the wave waves It was determined whether or not.

Conventional wave egg quality determination device hits the attachment of the egg to be inspected and detects the wave egg by detecting the sound wave from the opposite side of the hitting surface, so it is difficult to detect when the wave generation part is far from the hit position or fine egg shell. There is a problem of deterioration. In addition, the conventional wave shell quality determination device has a problem that the manufacturing cost is increased because a plurality of sensors are required by installing an object detecting sensor for detecting the presence / absence of eggs per hitting part.

The present invention has been proposed to solve the above problems, an object of the present invention is to provide a shell egg quality determination system and method that can automatically perform shell shell inspection of eggs, including micro shell eggs, and improve the accuracy of discrimination will be.

It is another object of the present invention to provide a system and method for determining the quality of shell eggs that can simultaneously inspect a plurality of eggs using two sensors.

In order to achieve the above object, the system of the present invention, the transport means for transporting the egg to be examined; A track movement sensor for monitoring the transport of the transport means; Object detection sensor for detecting the presence or absence of the egg passing through the reference position; At least one hitting part for hitting the egg to be examined; A blow control unit controlling the hitting unit to hit the test target egg which is rotated by itself when the test target egg reaches the test position according to the track movement detecting sensor and the detection signal of the object detecting sensor; At least one microphone for collecting sound waves of the beaten egg; And a computer unit for processing the sound wave signals collected through the microphone to determine the wave and the normal eggs.

The wave angle quality determination system further includes a data transmission unit for amplifying the sound wave signal input from the microphone and converting the analog signal to digital between the microphone and the computer unit, and transmitting the digital signal to the computer. A preamplifier for amplifying an input sound wave signal, an analog to digital converter for converting the analog output of the preamplifier to digital, and packetizing data of each digitally converted channel into data of a predetermined format and transmitting the packetized data to the computer unit It consists of a communication control unit.

The blow control unit controls to hit the equator of the egg that rotates at the same time as the transfer, adjust the intensity of the blow to the voltage applied to the solenoid, and adjust the blow contact time by the excitation time of the solenoid.

The computer unit receives the multiple sound wave signals for the same test object, filters the received sound wave signal, removes noise by autocorrelation, and FFTs the power spectrum and the maximum resonant frequency to obtain the correlation between the power spectrum and the maximum resonant frequency. Determining the wave and the normal egg by calculating the degree and standard deviation, but in step 1, the solid wave column is selected first using the maximum resonant frequency and their standard deviation, and in the second step, the fine wave using the standard deviation of the correlation between the power spectrum and the maximum resonant frequency Screening.

In order to achieve the above object, the method of the present invention, the step of putting the egg to be tested in the transfer means; Monitoring the transfer of the transfer means by a track movement detecting sensor and detecting the presence / absence of eggs introduced into the object detecting sensor; When the egg to be inspected reaches the test position, striking the object to be rotated a plurality of times while being transported by the transfer means; Collecting a sound wave signal of the egg to be inspected at each strike; Processing multiple sound wave signals for the collected same test object; And determining the eggs to be examined as normal eggs or shell eggs according to the processing result of the sound wave signal.

The processing of the multiple sound wave signals may include receiving multiple sound wave signals for the same test object, filtering the received sound wave signals, and removing noise by autocorrelation; Calculating a power spectrum and a maximum resonant frequency of each meeting by performing FFT on the sound wave signal from which the noise is removed; Comprising a plurality of times the power spectrum and the maximum resonant frequency correlation and the standard deviation is calculated, wherein the determining step is the maximum resonant frequency for multiple strikes are all below the threshold (Th1) or one of the threshold (Th2) Determining by a wave column if each of the above conditions, or their standard deviations equal to or greater than the threshold Th3; If the condition is not satisfied, go to the next step and repeat the two conditions again: one of the correlations of the power spectrum between multiple hits is below the threshold (Th4) and the standard deviation of the maximum resonant frequencies is above the threshold (Th5). Comparing with each other to determine if it is satisfied; If the condition is not satisfied, it is made to determine that the normal egg.

In the present invention, in order to automatically inspect the fine wave in the eggshell, the hitting the upper portion of the equator portion of the egg to be rotated itself while being transported by the conveying means a plurality of times, after detecting a sound wave signal with a microphone at the top of the hitting point Correlation coefficients between normalized power spectra of each sound wave signal obtained from the first strike, the maximum resonant frequency of each signal, and their standard deviation can be determined to determine whether the wave column.

Therefore, according to the present invention, the shell egg quality determining apparatus can improve the accuracy of discrimination compared to the conventional apparatus, and can be put into the egg grading process to realize automation of the shell egg inspection. In particular, in the present invention, since the multi-channel inspection unit may be implemented using two sensors, the sensor does not increase even if the number of channels increases.

The technical problems achieved by the present invention and the practice of the present invention will be more clearly understood by the preferred embodiments of the present invention described below. The following examples are merely illustrative of the present invention and are not intended to limit the scope of the present invention.

FIG. 2 is a schematic diagram illustrating a concept of implementing a shellfish egg quality determination system using two sensors according to the present invention, and FIG. 3 illustrates a concept of improving the shellfish egg detection capability when the egg is rotated according to the present invention. It is a schematic diagram shown.

As shown in FIG. 2, the wave shell quality determination system 100 according to the present invention collects sound waves after striking the transport track 110 and the transported egg 20 to transport the inspected egg 20. First to Nth channel inspection unit (CH 1 ~ CH N), track movement sensor 102 for monitoring the movement of the track, object detection sensor 104 for detecting the presence of eggs passing through the reference position of the entrance Consisting of only two sensors (102, 104) using the N egg 20 can be examined at the same time whether the egg shells. Each channel inspection unit (CH 1 ~ CH N) is composed of a blow unit (126-1 ~ 126-N) for hitting the egg 20 and a microphone (132-1 ~ 132-N) for collecting sound waves.

The system of the present invention is installed so that the rotational movement distance of the interval between the rotation indicator bar is the same as the movement distance between the channels, and operates in synchronization with the output signal of the track movement sensor (102).

In addition, as shown in Figure 3, the pagakran quality determination system 100 according to the present invention, when the egg 20 reaches the inspection position of each channel inspection unit, the equator of the egg to be rotated itself while being transported by the transfer means The part 22 is hit by the striking part 126, and the equator 22 detects sound waves with the microphone 132, so that the micro egg shell can be detected more accurately to determine the wave angle column.

Figure 4 is a block diagram of the overall configuration of the shell angle determination system according to the invention, Figure 5 is a schematic diagram of the egg feeder shown in Figure 4, Figure 6 is a schematic diagram showing the driving principle of the egg striking device according to the present invention to be.

As shown in FIG. 4, the pagran egg quality determination system according to the present invention has an egg transfer unit 110 for transferring an egg 20 on an inspection table, a track movement sensor 102 for monitoring the egg transfer unit 110, and an egg. According to the detection signal of the object detecting sensor 104, the track detecting sensor 102 and the object detecting sensor 104 for detecting the presence or absence of the egg of the transfer unit 110, the inspection target egg 20 is located at the inspection position of each channel. Upon reaching, the detection and trigger board 120 hitting the inspection target egg 20 in rotational transfer, and the sound waves of the inspection target egg generated by hitting are collected and analog-digital converted and transmitted to the main computer unit 140. The data transmission board 130 and the main computer unit 140 for processing the sound wave data of each channel transmitted through the data transmission board 130, and then determine whether or not each channel egg wave.

The detection and trigger board 120 includes N hitting parts 126-1 to 126-N for hitting the egg to be inspected and N solenoids 124-1 to 124-N for driving the hitting part according to the trigger signal. In response to the detection signals of the track detection sensor 102 and the object detection sensor 104, when the egg 20 to be examined reaches the inspection position of each channel, the transfer is paused and a trigger signal for hitting the inspection object is output. The hitting control unit 122 is configured to.

The data transmission board 130 is a microphone 132-1 to 132-N for collecting sound waves of the hit eggs, and a preamplifier 134- to amplify a sound wave signal input from the microphones 132-1 to 132-N. 1 to 134-N), analog-to-digital converters 136-1 to 136-N for converting the analog outputs of the preamps 134-1 to 134-N into digital, and the data of each digitally converted channel. It consists of a communication control unit 138 for packetizing the data in a predetermined format and transmitting it to the main computer unit 140.

The main computer unit 140 may include a communication processing unit 142 which decomposes a data stream transmitted through the communication control unit 138 and converts the data stream into object data of each channel, and an N-channel signal processing unit that processes the object data of each channel ( 144-1 to 144-N), an N-channel determining unit 146-1 to 146-N for determining whether an egg of a corresponding channel is a shell egg or a normal egg according to the signal processed result, and a determination result output unit for outputting a determination result. It consists of 148.

Egg transfer unit 110, as shown in Figure 5, may be used that is being applied to a commercial egg selector, by applying a friction to the lower portion of the transfer roller may be rotated while the transfer roller is rotated.

As shown in FIG. 6, the striking part 126 strikes the ball by dropping impact of the ball by using the rotary solenoid 126a, the plastic rod 126b, and the ball 126d hanging on the string 126c. This device strikes the egg 20 by changing the rotational motion of the solenoid 126a to the vertical motion of the ball 126d. The material of the ball is a crystal ball having a diameter of 10 mm. Taking into account the vibration mode shape of the egg and the equator diameter of the egg, the striking part 126 and the microphone 132 are installed 5 mm above the maximum diameter of the egg. Therefore, the striking distance of up to 30 mm is caused by the rotation of the solenoid. Because of the rebellion can be hit without difficulty.

Also, the sound wave characteristics of the egg are much related to the first resonant frequency, and the shape of the mode related to the first resonant frequency among the egg vibration modes has the largest response signal at the hitting point and 180 degrees opposite the equator. 22) When hitting, it is effective to measure the acoustic response signal at the top of the hitting point or vice versa. However, when the sound wave detection device is installed on the opposite side of the hitting point, the egg feed roller may be disturbed, so the present invention adopts a method of hitting the upper portion of the equator of the egg and detecting the top of the hitting point. And the impact strength of the blow is controlled by adjusting the voltage applied to the solenoid, and the blow contact time is very important to effectively transmit the sound wave characteristics of the egg shell. Here, the blow contact time can be adjusted by adjusting the excitation time of the solenoid. . Since the frequency characteristics do not change according to the impact strength and the detection distance, only the sound wave intensity changes, and thus the characteristics of the eggshell may be analyzed after excluding the influence of the impact strength and the detection distance through the frequency analysis.

In order to minimize the impact on the egg, the conveying roller of the egg conveying unit 110 is made of rubber, the conveying pitch of the conveying roller is approximately 52 mm, the conveying may be a chain conveying method, and the speed may be varied by a DC motor. In order to rotate the eggs during the transport, the individual rollers were made to rotate. At this time, the friction area of the machine was minimized to reduce the noise.

In addition, since the main computer unit 140 receives and processes signals of several channels at the same time, signals may be missed during other signal processing processes. In addition, the acquired signals are collectively transferred to the main computer unit 140 through the USB2.0 communication port.

The main computer unit 140 executes an LPC-based signal processing and analysis program to process and analyze multi-channel sound wave signals transmitted from the data transmission board 130. In other words, IIR Butterworth 10th-order bandpass filter passes only signals in the range of 1,000 to 7,500 Hz, and filters sound waves, analyzes the driving time and delay time of each hitting part, analyzes the presence or absence of wave angles by sound wave parameters, and blow distance. Performs a function to automatically correct the shift of a waveform.

Next, the operation of the wave shell quality determination system according to the present invention configured as described above is as follows.

FIG. 7 is a flowchart illustrating a method for determining a shell angle according to the present invention. FIG. 8 is a flowchart illustrating a procedure for displaying egg presence / absence using 2 sensors according to the present invention. FIG. An example of a data transfer format. FIG. 10 is a diagram illustrating a procedure for signal processing object data of each channel for determination of a wave egg according to the present invention. Flowchart.

Referring to FIG. 7, when the egg 20 is put into the hopper, the egg 20 is automatically placed on the transfer roller while the egg 20 is transferred in one row (S101 and S102). At this time, as shown in Figure 8, if the movement of the egg is detected by the track movement sensor 102 increases the position of all position indicators, if the egg is detected by the object sensor 104, the indicator position on the arrangement If the object is not recorded, and the object is not detected, the object is removed from the indicator position on the corresponding array to form an egg presence / non-arrangement (S201 to S206).

When the egg 20 arrives at the hitting part 126-1 to 126-N, which is the inspection position, the egg 20 is hit at least six times at regular intervals while the egg is rotated, and the sound wave signal is detected at each strike and the detected sound wave signal is detected. To digital. At this time, the detected sound wave signal is converted to digital by the analog-to-digital converters 136-1 to 136-N via the preamps 134-1 to 134-N, and the variable length data structure as shown in FIG. It is formed in the format of and then transmitted to the main computer 140 through the communication process (S105 ~ S108). In this case, the sampling rate of the egg sound wave signal is set to 20 kHz considering the aliasing, and the number of samples is set to 1024, so that data is acquired for 0.0512 seconds after one hit, and the acquisition point of the signal varies depending on the size of the egg. / D Delay time adjustment and signal processing to display the signal at a certain point. In FIG. 9, a bit mask indicates whether data exists in each channel, and variable length data is variable length data arranged in channel order. Cyclic redundancy check (CRC) is to ensure the integrity of the transmission data.

Subsequently, the main computer unit 140 converts the channel data of each channel received through the communication process into object data, and then processes the signal according to the procedure shown in FIG. After the determination, the determination result is output (S109 to S111).

Referring to FIG. 10, the sound wave data obtained from the six hits are obtained through auto-correlation through IIR Butterworth 10th order bandpass filtering, which passes only signals in the range of 1,000 to 7,500 Hz (S301 to S303). By obtaining autocorrelation, irregular noise included in a signal is removed, and power spectrum and maximum resonant frequencies are obtained from fast fourier transform (FFT) for autocorrelation (S304, S305, and S307).

By normalizing the size of the power spectrum, the impact of the impact strength during the analysis is minimized, the correlation between the normalized power spectrums is calculated, and the standard deviations between the maximum resonant frequencies are calculated to determine the discriminant factors necessary for determining the wave column (S306). S308).

As a result of investigating the normalized power spectrum characteristics of the normal egg and the wave egg obtained after the blow during the transfer, it can be seen that there is a frequency component due to noise in addition to the main frequency in the case of the sound wave signal without any preprocessing. Since many high frequency noises have been removed, but there are still noise components in the band, the autocorrelation function can be used to almost eliminate the noise. In this case, the FFT signal is normalized to reduce the impact of the hit strength and egg size.

An example of the normalized power spectrum of the normal egg and the shell egg obtained after four hits is shown in FIGS. 13 and 14. In the case of the normal egg, as shown in FIG. 13, the power spectrum between the four hits is almost constant, and the maximum resonant frequency is hardly changed, whereas in the case of the wave egg, the difference in the power spectrum between the hits is large as shown in FIG. 14. have.

In order to develop a wave discrimination algorithm, acoustic characteristics such as the correlation coefficient between the maximum resonant frequency and standard deviation of the test material, and the power spectrum hit are investigated. As shown in FIG. 15, the maximum resonant frequency of the normal egg is 4,000 to 6,200 Hz. While distributed in the range, it can be seen that the case of the wave shell is widely distributed between 900 and 7,000 Hz as shown in FIG.

The maximum resonant frequency range is wide in the case of the wave column because the difference in the resonant frequency between the portion with and without the wave is large, and the standard deviation of the maximum resonant frequencies is mostly distributed between 0 and 100 in the case of the normal egg. In the case of the pagoda egg, it can be seen that it is widely distributed between 0 and 2,500.

The distribution of correlation coefficients between the hits of the normalized power spectrum is 0.4 to 1.0 as shown in FIG. 18 in the case of normal eggs, and 0.0 to 1.0 as shown in FIG. These features can be used as a discriminating factor to classify normal eggs and shell eggs.

The results of analyzing the correlation between the signals of the power spectrum between the four hits of the steady-state and the pagoda are shown in Table 1 below, and the results of analyzing the maximum resonance frequencies and their standard deviations are shown in Table 2 below.

X1 X2 X3 X4 Intact eggs X1 1,000 X2 0.983 1,000 X3 0.988 0.995 1,000 X4 0.989 0.992 0.995 1,000 Cracked eggs X1 1,000 X2 0.355 1,000 X3 0.593 0.635 1,000 X4 0.666 0.714 0.778 1,000

In Table 1, in the case of the normal egg, the correlation between the signals between different hits was higher than 0.98, which means that the signals hit four times are almost constant, and the eggshell state is uniform and there is no defect such as a wave in a specific part. do. On the other hand, in the case of shell eggs, the correlation between the first and second hits was very low at 0.355. This means that the first and second strike signals are irregular, meaning that these areas are abnormal or crusted compared to other areas.

X1 (Hz) X2 (Hz) X3 (Hz) X4 (Hz) Standard Deviation (Hz) Intact eggs 4,888 4,907 4,868 4,868 18.7 Cracked eggs 2,190 4,457 4,653 4,477 1172.8

As can be seen from Table 2, in the case of the normal egg, the maximum resonance frequency is mostly distributed around 4,880 Hz, and the standard deviation is also low as 18.7. On the other hand, in the case of wave column, the maximum resonant frequency distribution is wide, and when hitting the wave part, low frequency tends to appear differently from other parts. Therefore, the correlation coefficient between the maximum resonant frequency, standard deviation, and strike for four strikes was used as a discriminant for wave column discrimination.

As shown in FIG. 11, the wave angle discriminant algorithm is used to determine the wave angle column by using the above-described various discriminant factors. In step 1, the positive wave column is first selected using the maximum resonant frequency and their standard deviation. The fine wave column is selected using the correlation between the spectra and the standard deviation of the maximum resonance frequency.

Referring to FIG. 11, the respective conditions in which the maximum resonant frequencies for the six strikes are all equal to or less than the threshold Th1 or one of them is equal to or greater than the threshold Th2 or their standard deviations are equal to or greater than the threshold Th3 are described. If satisfied, it is determined as a wave column (S401 to S403). If the condition is not satisfied, the next step is to proceed to the next two conditions where one of the correlations of the power spectrum between the six hits is equal to or less than the threshold Th4, and the standard deviation of the maximum resonant frequencies is equal to or greater than the threshold Th5. If the comparison is again satisfactory, it is determined as a wave column, otherwise it is determined as a normal column (S404 to S406).

The present invention has been described above with reference to one embodiment shown in the drawings, but those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom.

1 is a schematic diagram showing a conventional shell angle quality determination concept,

Figure 2 is a schematic diagram showing the concept of implementing a paranglan quality determination system using two sensors in accordance with the present invention,

Figure 3 is a schematic diagram showing the concept of improving the detection ability of the shell when hitting the egg rotated according to the present invention,

Figure 4 is a block diagram of the overall configuration of the shell angle quality determination system according to the present invention,

5 is a schematic view of the egg conveying apparatus shown in FIG.

Figure 6 is a schematic diagram showing the driving principle of the egg striking device according to the present invention,

7 is an overall flow chart illustrating a wave shell quality determination procedure according to the present invention,

8 is a flow chart showing a procedure for displaying the presence / absence of eggs using 2 sensors according to the present invention,

9 is an example of a data transmission format according to the present invention;

10 is a diagram illustrating a procedure of signal processing object data of each channel to determine a wave angle according to the present invention;

11 is a flowchart illustrating a procedure for determining a normal egg and a broken egg according to a signal processing result according to the present invention;

12 is a graph showing the characteristics of the filter applied to the present invention,

13 is an example of a normal egg normalized power spectrum obtained after four hits according to the present invention;

14 is an example of a wave angle normalized power spectrum obtained after four hits according to the present invention;

15 is an example of the correlation coefficient between the hit of the steady-state power spectrum according to the present invention,

16 is an example of the correlation coefficient between the blow of the wave shell power spectrum according to the present invention,

17 is an example of standard deviation of maximum resonant frequencies according to the present invention;

18 is a correlation coefficient distribution between the hits of normalized normal power power spectrum according to the present invention,

19 is a correlation coefficient distribution between the strokes of the normal wave shell power spectrum normalized according to the present invention.

DESCRIPTION OF THE REFERENCE NUMERALS

102: track movement sensor 104: object detection sensor

110: egg transfer unit 120: detection and trigger board

130: data transmission board 140: main computer unit

Claims (10)

Transfer means for transporting the egg to be examined; A track movement sensor for monitoring the transport of the transport means; Object detection sensor for detecting the presence or absence of the egg passing through the reference position; At least one hitting part for hitting the egg to be examined; A blow control unit controlling the hitting unit to hit the test target egg which is rotated by the transfer means when the test target egg reaches the test position according to the track movement detecting sensor and the detection signal of the object detecting sensor; At least one microphone for collecting sound waves of the beaten egg; And A computer unit for processing a sound wave signal collected through the microphone to determine a wave angle and a normal wave; The striking unit is composed of a solenoid operated according to a trigger signal of the striking control unit, a hammer or a ball connected to the solenoid, the striking control unit controls the strength of the striking by the voltage applied to the solenoid, the excitation time of the solenoid The wave shell quality determination system, characterized in that for adjusting the impact contact time. The method of claim 1, wherein the shell angle quality determination system And a data transmission unit for amplifying the sound wave signal input from the microphone and converting the analog signal to digital between the microphone and the computer unit, and transmitting the digital signal to the computer. The method of claim 2, wherein the data transmission unit A preamplifier for amplifying the sound wave signal input from the microphone, an analog to digital converter for converting the analog output of the preamplifier into digital, and data of each digitally converted channel into data having a predetermined format Wave angle quality determination system comprising a communication control unit for transmitting to a computer unit. The method of claim 1 or 2, wherein the hit controller The shellfish egg quality determination system, characterized in that the control to hit the equator portion of the egg that rotates during the transfer. delete According to claim 1 or claim 2, wherein the computer unit After receiving multiple sound wave signals for the same test object, the received sound wave signal is filtered, and noise is removed by autocorrelation to find the power spectrum and the maximum resonant frequency.The correlation and standard deviation between the power spectrum and the maximum resonant frequency are many times. The wave shell quality determination system, characterized in that to determine the wave shell and the normal egg. The method of claim 6, wherein the computer unit In the first step, a robust wave column is selected first using the maximum resonance frequency and their standard deviation, and in the second step, the fine wave column is selected using the correlation between the power spectrum and the standard deviation of the maximum resonance frequency. . delete delete delete

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