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KR20160001756A - Apparatus and method for integrity test of membrane modules using acoustic sensor - Google Patents

Apparatus and method for integrity test of membrane modules using acoustic sensor Download PDF

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KR20160001756A
KR20160001756A KR1020140078779A KR20140078779A KR20160001756A KR 20160001756 A KR20160001756 A KR 20160001756A KR 1020140078779 A KR1020140078779 A KR 1020140078779A KR 20140078779 A KR20140078779 A KR 20140078779A KR 20160001756 A KR20160001756 A KR 20160001756A
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membrane module
separation membrane
level crossing
crossing rate
acoustic
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KR101627107B1 (en
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박희등
파우어 빅터
김택승
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고려대학교 산학협력단
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Priority to PCT/KR2015/006408 priority patent/WO2015199434A1/en
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    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/14—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object using acoustic emission techniques
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G01N29/46—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis

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Abstract

The present invention relates to a device and a method to determine integrity of a separation membrane module. The present invention provides an integrity determination device which minimizes damage by immediately responding to a case where a separation membrane module is broken by measuring in real time a presence, position, and degree of breakage of the separation membrane module by analyzing wave patterns of sound and spectrogram using one or more acoustic sensors.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to an apparatus and method for determining the integrity of a membrane module using an acoustic sensor,

The present invention relates to an apparatus and method for determining the completeness of a separation membrane module, and more particularly, to an apparatus and method for determining the integrity of a separation membrane module, And more particularly, to a device and a method for determining whether a separation membrane module is damaged, damaged, and damaged.

The membrane module is applied to various fields such as water treatment or gas separation membrane, and the membrane integrity test is to judge whether or not the membrane module is abnormal. Conventional membrane integrity measurements are conducted by a pressure drop test (PDT) and a bubble test. Among these, the pressure drop test is the most widely used technique with high accuracy and reliability proven through experiments.

However, such completeness test technique is performed by analyzing the water quality in the state where the membrane breakage occurs and the membrane breakage occurs, and the water quality analysis is mainly used such as particle counting, particle size analysis and TOC measurement. Since the separation membrane module is damaged and the water quality is deteriorated, the subsequent confirmation operation is performed. Therefore, the present techniques for the membrane module can measure the completeness of the membrane module in advance or check the condition of the membrane module in real time There is no disadvantage.

Furthermore, in order to satisfy the accuracy and reliability of the module and to minimize the damage in response to the damage, it is necessary to detect the damage in real time.

 Jung, Chang - Hoon, Yi - Soo, Yong - Soo, Chang, and Hyung - Soo Kim, "Sensitivity Evaluation of Pressure Loss Test Considering Diffusional Air Flow Rate with Membrane Damage Size," Korean Water Environment Society Spring Conference, 2014 Vol. Pp354 ~ 355, 2014.

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to overcome the limitations of the conventional apparatus for determining completeness of a separation membrane module by analyzing the water quality after deteriorating the separation membrane module, So as to minimize the damage.

According to an aspect of the present invention, there is provided an apparatus for measuring a sound signal generated by a separation membrane module according to an embodiment of the present invention. A signal processor for converting the measured acoustic signal into a digital signal and calculating a spectrogram and a waveform representing a magnitude of an acoustic signal with respect to a time axis and a frequency axis from the digital signal; And a completeness determiner for analyzing the spectrogram and the waveform to determine whether the separator module is damaged, damaged, and damaged.

The acoustic sensor unit may be attached to the outside of the separator module and may be attached to each of the regions to be measured for damage of the separator module.

According to an embodiment of the present invention, there is provided an acoustic sensor unit including a sound absorbing material and a sound device for sensing sound, wherein the separator module and the sound device are spaced apart at a predetermined interval, And the sound absorbing material is covered with the sound absorbing material so as to be covered with the sound absorbing material so as to block the noise below the reference value and to sense a specific sound signal.

The sound absorbing material according to one embodiment may be made of foamed styrene resin and a polymer material.

The signal processing unit according to an exemplary embodiment may calculate a frequency value using a Fast Fourier Transform (FFT) on a digital signal, and calculate a spectrogram from the calculated frequency value.

The completeness determining unit may calculate a level crossing rate (LCR) derived from a crossing value of a waveform based on a threshold value preset for the digital signal, and determine whether the level crossing rate is a normal level And when the level crossing rate is out of the tolerance range of the normal level crossing rate, it is judged that the membrane module is broken, and the normal level crossing rate is the normal level crossing rate, And the sound signal is generated and stored in advance.

In the case where the separation membrane module according to the above-described embodiment is broken, the degree of damage may be determined in proportion to the degree of deviation from the error range, and the failure position may be determined based on the position of the corresponding acoustic sensor, Can be estimated according to the degree of deviation.

In order to solve the above-described technical problem, a separation membrane module according to another embodiment of the present invention is used to detect whether a membrane module is damaged in real time, and when failure is detected, damage information is provided to a system user through an alarm Provides a membrane module integrity monitoring system.

According to another aspect of the present invention, there is provided a method for measuring a sound signal generated by a separation membrane module, the method comprising the steps of: Converting the measured acoustic signal into a digital signal, calculating a spectrogram and a waveform representing a magnitude of an acoustic signal with respect to a time axis and a frequency axis from the digital signal; And analyzing the spectrogram and the waveform to determine whether the separation membrane module is damaged, damaged, and damaged.

The step of measuring an acoustic signal according to yet another embodiment may include the step of measuring the acoustic signal of the sensor by placing the sound absorbing material in close contact with a part of the acoustic device of the sensor other than one surface of the acoustic device facing the separating membrane module, And can detect a specific acoustic signal.

According to another embodiment of the present invention, the step of converting the digital signal into a digital signal may include calculating a frequency value using Fast Fourier Transform (FFT) on the digital signal, and calculating a spectrogram from the frequency value.

Analyzing the spectrogram and the waveform according to another embodiment may include calculating a level crossing rate (LCR) derived from a crossing value of the waveform based on a threshold value preset for the digital signal Determining that the separation membrane module is broken if the level crossing rate is within an error range of the normal level crossing rate and determining that the separation membrane module is broken if the level crossing rate is out of the error range of the normal level crossing rate, And the normal level crossing rate is calculated and stored in advance from the acoustic signal generated when the separation membrane module is in the normal state.

In another embodiment, when the separation membrane module is broken, the degree of damage is determined in proportion to the degree of deviation from the error range, and the damage position is determined based on a position of the sensor, Can be estimated according to the degree of deviation from the error range.

According to the present invention, it is possible to provide a determination device for a separation membrane module using an acoustic sensor capable of measuring the completeness of the separation membrane module in advance. In addition, unlike conventional post-treatment type integrity measurement methods, it monitors the completeness of the membrane module in real time, minimizes the damage if the membrane module is damaged, minimizes the damage, .

FIG. 1 is a conceptual diagram of a separation membrane completeness determination apparatus according to an embodiment of the present invention.
2 is a photograph of an experimental example in which the acoustic sensors of the separation membrane completeness determination device according to an embodiment of the present invention are attached to the separation membrane module.
3 is a conceptual view showing a structure of one surface of an acoustic sensor and a separation membrane module of a separation membrane completeness determination device according to an embodiment of the present invention.
FIG. 4 is a diagram illustrating waveforms of sounds obtained by analyzing real-time sound signals for three regions of a separation membrane module by a separation membrane completeness determination device according to an embodiment of the present invention.
FIG. 5 is a diagram showing a spectrogram calculated by analyzing real-time sound signals for three regions of a separation membrane module by a separation membrane completeness determination device according to an embodiment of the present invention. FIG.
FIG. 6 is a diagram showing spectrograms and waveforms of sounds, which are obtained by analyzing real-time sound signals for one region of a separation membrane module by a separation membrane completeness determination device according to an embodiment of the present invention, in a single screen.
FIG. 7 is a view showing a breakage of a separation membrane module sensed by a separation membrane completeness determination apparatus according to an embodiment of the present invention. FIG.
8 is a view showing spectrograms of three sensors from a separation membrane completeness determination apparatus according to an embodiment of the present invention.
FIG. 9 is a view showing spectrograms at different times for one sensor from a separation membrane completeness determination device according to an embodiment of the present invention. FIG.
10 is a flowchart of a method for determining the integrity of a separation membrane according to another embodiment of the present invention.

Prior to the description of the concrete contents of the present invention, for the sake of understanding, the outline of the solution of the problem to be solved by the present invention or the core of the technical idea is first given.

The apparatus for determining integrity of a separation membrane module according to an embodiment of the present invention measures an acoustic signal using at least one acoustic sensor attached to the separation membrane module and analyzes spectrograms and waveforms calculated from the acoustic signals to determine whether the separation membrane module is broken or damaged Position, and degree of breakage.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram of a separation membrane completeness determination apparatus 10 according to an embodiment of the present invention. The separation membrane completeness determination apparatus 10 includes a sound sensor unit 11, a signal processing unit 12 and a completeness determination unit 13. The separation membrane module 20 receives an acoustic signal from the separation membrane module 20, ). ≪ / RTI >

The separation membrane module 20 may be in the form of using various kinds of separation membranes. For example, there are tubular modules, hollow fiber membrane modules, spiral wound modules, and plate frame modules. The following embodiments of the present invention will be described with reference to an experiment using a hollow fiber membrane module generally used for purifying water.

The separator completeness determining apparatus 10 measures an acoustic signal from the separator module 20 using the acoustic sensor unit 11. [ The sound sensor unit 11 may be one or more and is preferably attached to the outside in order to measure the sound generated in the separation membrane module 20 without noise, without affecting the structure of the separation membrane module 20. In order to measure the breakage of the membrane module, one acoustic sensor unit may be attached to one area to be measured, or one acoustic sensor unit may be attached to a plurality of areas to be measured. When the acoustic sensor unit is attached to the plurality of areas, the integrity determination unit 30 can more accurately estimate the location of the damage than the case where the acoustic sensor unit is attached to one area. Depending on the characteristics of the target membrane module to be measured, the location and number of the acoustic sensor part can be determined. In the case of the hollow fiber membrane module, it is necessary to measure damage to the influent water, concentrated water, permeate water, The part can be attached.

The sound sensor unit 11 is composed of a sound device 11b for sensing sound and a sound absorbing material 11a for covering the sound device 11b. 2 is a conceptual view showing one side of the separation membrane module 20 and the side of the interior of the sound sensor section 11. As shown in FIG. The sound sensor 11 is closely attached to one surface of the separator module 20 and the separator module 20 and the sound device 11b are spaced apart from each other at a predetermined interval. And the sound absorbing material 11a is covered with the sound absorbing material 11a in all portions except the one surface facing the sound absorbing material 20. One side 20 of the separation membrane module is shown as a straight line, but it may be curved because the separation membrane module 20 is generally made in a cylindrical shape.

The fact that the acoustic devices 11b are spaced at a certain distance from the membrane module 20 is more accurate because it is possible to measure the amplification of the sound through the air existing in the space, to be. The sound absorbing material 11a may be formed of a foamed styrene resin and a polymer material. The polymer material can be, for example, a material of rubber material, and has a function of blocking sound. Because sound passes through the solid, it is used to block external noise by using polymer material. Therefore, due to the material and structure of the sound absorbing material 11a, the sound sensor unit 11 can block noise below the reference value and can detect a specific sound signal from the separation membrane module 20. This is because only the sound generated in the separation membrane module 20 itself is sensed, and the noise generated in the process of installing the separation membrane module 20 is removed, so that the accuracy of the completeness determination can be improved.

The signal processing unit 12 converts an analog sound signal measured by the sound sensor unit 11 into a digital signal and calculates a spectrogram and a waveform from the digital signal. A frequency value can be calculated using a Fast Fourier Transform (FFT) with respect to a digital signal, and a spectrogram can be calculated from the frequency value. The spectrogram means the magnitude (dB) of the acoustic signal for the time axis and frequency axis, which is also referred to as the energy signal. The spectrogram is represented by the density of the color, which is expressed darkly when the amplitude of the frequency band is large and lightly when the amplitude is small. Therefore, when the color of the spectrogram is large, the size of the acoustic signal is large, and when the color is thin, the size of the acoustic signal is small.

The completeness determining unit 13 analyzes the spectrogram and the waveform to determine whether the breakage module 20 has been damaged, the location where the breakage occurred, and the degree of breakage. Whether breakage has occurred can be determined by calculating a level crossing rate (LCR) derived from an intersection value of a waveform on the basis of a preset threshold value and determining whether the level crossing rate is within an error range of the normal level crossing rate Therefore, it is judged. That is, it is judged that the membrane module is not damaged when it exists within the error range, and it is judged that the membrane module is broken when the error range is exceeded. The level crossing rate can be calculated using Equation 1 below, and the normal level crossing rate can be calculated and stored in advance through an experiment from acoustic signals generated when the membrane module is in a steady state. At this time, the threshold value is preset to the value obtained through the experiment.

Figure pat00001

A description of the variables in Equation (1) is as follows. L (m) is the level crossing rate in the current sample m, N is the number of samples in the interval to analyze, L th is an experimentally determined constant, w (n) is a window function used in signal processing, The hanning function, x (n), is the digital signal for which the current level crossing rate is to be determined.

The acoustic signal obtained through the experiment according to an embodiment of the present invention measures 20,000 samples per second and sets 256 samples to one frame. 400-600 frames when setting the reference value, and 20-30 frames which are used to determine whether the frame is normal or not. The reference value is set to an average value, an upper limit value, and a lower limit value of a frame measured with an external sound signal, and the LCR (reference value) in the normal state, for example, belongs to the category of LCR (15) Reference value), for example, the result of exceeding the LCR 50, the signal of the break sound is judged. The result of the abnormal state is indicated in red. In the case of dividing into two areas, it is possible to make more granular completeness judgment through LCR (reference value).

The error range for determining whether or not to break is determined experimentally and depends on reliability. The position where the breakage has occurred can be estimated according to the degree of deviation from the error range centering on the position of the acoustic sensor and the position of the acoustic sensor when the breakage is detected. If the error range deviates much from the normal range, it is close to the position of the acoustic sensor. If the error range is small, it can be assumed that the acoustic sensor is far away from the acoustic sensor. This can be experimentally quantified, and other normal level crossing rates and error ranges are determined according to the separator module to be implemented. In the case where a plurality of acoustic sensor units are attached, it is possible to detect breakage only in some acoustic sensor units. In this case, the breakage position of the separation membrane module can be more specifically estimated. In particular, when detecting a break by a plurality of acoustic sensor units, the acoustic signal of the acoustic sensor unit located nearest to the occurrence of the break is directly affected by the break, and the spectrogram value of the narrow frequency band is displayed in red , The acoustic sensor part located at a place away from the occurrence of the break may indirectly receive the effect of the break, and the spectrogram value may appear irregularly in a wide frequency band. The embodiment will be described with reference to FIG. The degree of failure can be determined in proportion to the degree of deviation from the error range, and has a direct relationship.

Also, it is possible to confirm whether or not the membrane module is broken through the difference in the amplitude of the spectrogram. The energy signal becomes large in the case of the membrane module in which the breakage occurs compared to the energy signal of the membrane module in the normal state. The difference value can be experimentally confirmed since it can be varied depending on the type and size of the membrane module. For quantitative comparison, the ratio of the energy signal divided into frequency bands can be used.

The frequency band may vary between the maximum and minimum values of the range indicated by the particular membrane module. If the range of the frequency band of a specific membrane module is determined, it can be divided into at least two areas. When an energy signal having a frequency band smaller than the reference value is defined as A and a energy signal having a frequency band equal to or greater than the reference value is defined as B, A ratio of A to B (Y) makes it possible to determine whether the membrane module is broken or not. That is, the difference between the Y value at the time of normal operation and the Y value at the time of occurrence of the breakage is used.

More specifically, the ratio of the energy signal can be calculated as shown in Equation (2).

Figure pat00002

For example, in the case of the integrity measurement device for a hollow fiber membrane module, the frequency range that can be generated is 0 to 100,000 Hz, the reference value is 2000 Hz, and the range from 0 to 2000 Hz is called Low Spectrum Energy (A) Can be set to High Spectrum Energy (B). Also, the spectrogram's acoustic signal size (dB) is expressed by the color of the spectrogram using dB LL , dB HL obtained from Equation (2). For example, if the measured value is in the error range of the upper limit and the lower limit when the normal state dB LL and dB HL values are dB LL (0.12) and dB HL (0.04), it can be judged as a normal state. The value of the abnormal state exceeds the error range. If it is judged abnormal, the color and color shades are displayed in the spectrogram.

The display unit 30 can visually display the analyzed spectrogram and waveform in real time. The spectrogram representing the time difference and the amplitude difference according to the time axis and the frequency axis can be expressed by the color density or the color itself. For example, if the average level crossing rate is within the error range, the spectrogram can be displayed in blue, and if it is outside the error range, it can be displayed in red. Depending on the degree of deviation from the error range, the degree of damage may be visually expressed by varying the color intensity from yellow to red.

Another embodiment of the present invention is a separation membrane module integrity monitoring system that detects whether a separation membrane module is damaged in real time using a separation membrane completeness determination device 10 and provides breakage information to a system user through an alarm when a breakage is detected . The configuration for alarming the user may be implemented using the display unit 30 or may be implemented using wireless communication through a terminal carried by the user.

FIG. 3 is a photograph showing an experimental example in which an acoustic sensor unit is attached to each of the core portions of the influent water, the concentrated water, and the permeated water with respect to the hollow fiber membrane module. The acoustic signal is measured from an external acoustic sensor unit and the signal processing unit and the completeness determination unit calculate the information on whether the acoustic signal is damaged or not. Hereinafter, the spectrogram and the waveform analyzed from the acoustic signal measured through the experiment of FIG. 3 will be described.

FIG. 4 is a diagram illustrating waveforms of sounds obtained by analyzing real-time sound signals for three regions of a separation membrane module by a separation membrane completeness determination device according to an embodiment of the present invention. The horizontal axis represents time, and the vertical axis represents amplitude, and waveforms are shown for each sensor. FIG. 5 is a graph showing spectrograms obtained by analyzing real-time sound signals for three regions of a separation membrane module by a separation membrane completeness determination device according to an embodiment of the present invention. The vertical axis represents the frequency, the horizontal axis represents the time, and the concentration of the color of the spectrogram represents the magnitude of the amplitude. Due to the nature of the spectrogram, it can be easily and visually confirmed whether or not the membrane is damaged. This is useful for detecting the presence or absence of a membrane module in real time. FIG. 5 shows that the spectrogram appears red, indicating that the fracture occurred. Specifically, it can be seen that a spectrogram such as a dark red band at 300 Hz to 600 Hz of the sensor 3 appears and a break occurs at the position of the sensor 3. This implies that it is directly affected by the fracture. In the case of sensors 1 and 2, the red spectrograph spreading over a wide frequency band can be confirmed by indirectly receiving the influence of the breakage occurring near the sensor 3, which is located away from the sensor 3 where the break occurred.

FIG. 6 is a diagram showing spectrograms and waveforms of sounds, which are obtained by analyzing real-time sound signals for one region of a separation membrane module by a separation membrane completeness determination device according to an embodiment of the present invention, in a single screen. The horizontal axis represents time, and the upper part is the spectrogram, the lower part is the waveform, and the middle part is the enlarged part of the lower part of the waveform, which is divided into three areas on the right part of the screen. In this way, it is possible to provide a user with a result of analyzing the sound signal generated in the separation membrane module in real time.

FIG. 7 is a diagram illustrating a breakage of the separation membrane module from the separation membrane completeness determination apparatus according to an embodiment of the present invention. FIG. It can be seen that the breakdown of the membrane module increases the waveform, and the color of the spectrogram appears red over a broad frequency band.

8 is a view showing a spectrogram of three acoustic sensor units from a separation membrane completeness determination apparatus according to an embodiment of the present invention. The spectrograms of sensor 1 and sensor 3 show that the level crossing rate is within the error range of the normal level crossing rate, but the sensor 2 shows a yellow color outside the error range of the normal level crossing rate, causing a break at the position of the sensor 2 . The exact location of the breakage can be determined by how much the sensor 2 is located by the experimental value.

FIG. 9 is a view showing spectrograms at different times for one acoustic sensor unit from a separation membrane completeness determination apparatus according to an embodiment of the present invention. FIG. (A) when the membrane module is completed, and (b) and (c) when the membrane module is damaged. It can be seen that the level crossing rate of the object to be measured expressed by the color of the spectrogram is more severe than the crossing rate of normal level (c) than that of (b).

10 is a flowchart of a method for determining the integrity of a separation membrane according to another embodiment of the present invention. Each step of the separation membrane completeness determination method corresponds to the detailed configuration of the separation membrane module apparatus of FIG. 1 as follows, and a detailed description thereof is not repeated.

S210 is a step of attaching one or more sensors to each part of the membrane module to be measured for damage, and measuring an acoustic signal generated in the membrane module. A sound absorbing material is adhered to a part of the sensor of the sensor other than the one surface facing the separation membrane module at a certain interval, thereby blocking the noise below the reference value and detecting a specific sound signal. This corresponds to the acoustic sensor unit of FIG.

S220 is a step of converting the measured acoustic signal into a digital signal and calculating a spectrogram and a waveform indicating a difference in amplitude according to a change of the time axis and the frequency axis from the digital signal. A frequency value is calculated using a fast Fourier transform for the digital signal, and a spectrogram is calculated from the frequency value. This corresponds to the signal processing unit of Fig.

S230 is a step of analyzing the spectrogram and waveform to determine whether the membrane module is damaged, damaged, and damaged. A level crossing rate (LCR) derived from an intersection value of a waveform on the basis of a preset threshold value is calculated. If the level crossing rate is within an error range of the normal level crossing rate, If the level crossing rate is out of the error range of the normal level crossing rate, it is determined that the membrane module is damaged. The normal level crossing rate can be calculated and stored in advance from the acoustic signal generated when the membrane module is in a normal state. If the membrane module is broken, the degree of damage can be determined by the experimental value in proportion to the degree of deviation from the error range, and the damage position is determined by the degree of deviation from the error range Lt; / RTI > And corresponds to the completeness determination unit of FIG.

As described above, the present invention has been described with reference to particular embodiments, such as specific elements, and specific embodiments and drawings. However, it should be understood that the present invention is not limited to the above- And various modifications and changes may be made thereto by those skilled in the art to which the present invention pertains.

Accordingly, the spirit of the present invention should not be construed as being limited to the embodiments described, and all of the equivalents or equivalents of the claims, as well as the following claims, fall within the scope of the spirit of the present invention .

10: Membrane integrity determination device
11: Acoustic sensor part
11a: sound absorbing material 11b: sound device
12: Signal processing section 13: Completeness judgment section
20: Membrane module
30:

Claims (14)

At least one acoustic sensor unit for measuring acoustic signals generated in the membrane module;
A signal processor for converting the measured acoustic signal into a digital signal and calculating a spectrogram and a waveform representing a magnitude of an acoustic signal with respect to a time axis and a frequency axis from the digital signal;
And a completeness determiner for analyzing the spectrogram and the waveform to determine whether the separator module is damaged, damaged, and damaged. The method according to claim 1,
Wherein the acoustic sensor unit is attached to the outside of the separation membrane module and is attached to each of the areas to be measured for damage of the separation membrane module. The method according to claim 1,
Wherein the sound sensor part includes a sound absorbing material and a sound device for sensing sounds, wherein the separation membrane module and the sound device are spaced apart from each other by a predetermined distance, and the sound absorbing material is closely contacted to a part of the sound device, Wherein the acoustic sensor detects a specific acoustic signal by blocking a noise below a reference value, and detecting a specific acoustic signal. The method of claim 3,
Wherein the sound absorbing material is made of foamed styrene resin and a polymer material. The method according to claim 1,
Wherein the signal processing unit calculates a frequency value using Fast Fourier Transform (FFT) on the digital signal, and calculates a spectrogram from the calculated frequency value. The method according to claim 1,
The completeness determining unit may calculate a level crossing rate (LCR) derived from an intersection value of a waveform based on a threshold value preset for the digital signal,
Determines that the separation membrane module is not broken when the level crossing rate is within an error range of the normal level crossing rate,
Determining that the separation membrane module is broken if the level crossing rate is out of the error range of the normal level crossing rate,
Wherein the normal level crossing rate is calculated and stored in advance from an acoustic signal generated when the separation membrane module is in a steady state. The method according to claim 6,
Wherein when the separation membrane module is broken, the degree of breakage is determined in proportion to the degree of deviation from the error range. The method according to claim 6,
Wherein when the separation membrane module is broken, the breakage position is estimated based on the position of the corresponding acoustic sensor that sensed the breakage and the position of the acoustic sensor in accordance with the degree of deviation from the error range. A separation membrane module integrity monitoring system for detecting damage of a separation membrane module in real time using the determination device of any one of claims 1 to 8 and providing damage information to a system user through an alarm when a breakage is detected. Attaching at least one sensor to each part of the membrane module to be measured for damage, and measuring an acoustic signal generated in the membrane module;
Converting the measured acoustic signal into a digital signal and calculating a spectrogram and a waveform representing a magnitude of an acoustic signal with respect to a time axis and a frequency axis from the digital signal;
And analyzing the spectrogram and the waveform to determine whether the separation membrane module is damaged, damaged, and damaged. 11. The method of claim 10,
Wherein the step of measuring the acoustic signal comprises the steps of: covering the sounding device of the sensor with a sound absorbing material in close contact with a part of the sounding device apart from one side of the separating membrane module facing the separating membrane module, And detecting the signal integrity of the separation membrane module. 11. The method of claim 10,
The step of converting into the digital signal includes:
Wherein a frequency value is calculated for the digital signal using Fast Fourier Transform (FFT), and a spectrogram is calculated from the frequency value. 11. The method of claim 10,
Wherein analyzing the spectrogram and waveform comprises:
Calculating a level crossing rate (LCR) by deriving an intersection value of a waveform based on a preset threshold value for the digital signal,
Determines that the separation membrane module is not broken when the level crossing rate is within an error range of the normal level crossing rate,
Determining that the separation membrane module is broken if the level crossing rate is out of the error range of the normal level crossing rate,
Wherein the normal level crossing rate is calculated and stored in advance from an acoustic signal generated when the separation membrane module is in a steady state. 14. The method of claim 13,
Wherein the breakage degree is determined in proportion to the degree of deviation from the error range when the separation membrane module is broken, and the breakage position is a degree of deviation of the center of the sensor, And determining the integrity of the separation membrane module.
KR1020140078779A 2014-06-26 2014-06-26 Apparatus and method for integrity test of membrane modules using acoustic sensor KR101627107B1 (en)

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KR1020140078779A KR101627107B1 (en) 2014-06-26 2014-06-26 Apparatus and method for integrity test of membrane modules using acoustic sensor
PCT/KR2015/006408 WO2015199434A1 (en) 2014-06-26 2015-06-24 Device and method for determining integrity of separation membrane module using acoustic sensors

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