CN1755342A - Method and apparatus for detecting leakage of liquid pressure pipeline - Google Patents

Abstract

The invention discloses a liquid pressure pipe leakage measuring method and apparatus which comprises the following steps: positioning the two sensors inside the measuring pipe on the two sides explored pipe wire of the tested leakage pipe to obtain the noise signal, doing high pass filter, signal amplify and auto-gaining to the noise signal, finding the corresponding audio range signal, sending the noise signal to the leakage location analysis system by the cable on by wireless type, ascertaining the time differential of the two sensors by the multi-analysis of the two signals by the leakage location analysis system, computing the distance between the leakage point to the two sensors by the time differential and the transmitting speed of the distance and the sound wave of the two sensors.

Description

A kind of liquid pressure conduit leakage detection method and device

Technical field

The present invention relates to a kind of liquid pressure conduit Leak Detection and audio-frequency noise localization method and device.

Background technology

At present China is not also to the specialized equipment of liquid pressure conduit Leak Detection.Under the day by day deficient form of water resource, improve the task of top priority that the water supply utilization factor is water saving.On water-transmission line, because factors such as the quality of pipeline and service times, leakage problem happens occasionally.Generally, because discovery is untimely, when having only a large amount of leakages to occur, just is found entirely, and before being found, has wasted great amount of water resources.In order to reduce the leak rate of water supply, developing a kind of price leak detecting device low, easy to operate and dependable performance is the most effective leakproof water saving way.

Summary of the invention

A kind of liquid pressure conduit leakage detection method of the present invention and device can solve the problem of liquid pressure conduit being carried out Leak Detection and location, and the pipeline leakage detection method and the device of low, the easy to use and dependable performance of a kind of cost is provided simultaneously.

A kind of liquid pressure conduit leakage detection method of the present invention, its step is as follows:

(1), two sensors of measuring channel internal leakage noise is positioned over the noise signal of picking up on the exposure pipeline of tested leaking pipe both sides in the pipeline;

(2), the noise signal to collecting by step 1, carry out high-pass filtering, signal amplification and automatic gain, find out and the corresponding audiorange signal of the noise that leaks, the leakage noise signal is directly delivered to the leakage positioning analytic system by cable or by the wireless transmit mode;

(3), the leakage positioning analytic system utilizes leakage noise propagate to arrive the asynchronism(-nization) of two sensors, promptly utilizes the mutual analysis of two column signals, can determine that leakage noise arrives the mistiming of two sensors;

If x (t), y (t) are two measured column signals, then its related function computing formula is as follows:

$R_{\mathrm{xy}}\left(\mathrm{\τ}\right)=\underset{T\→\∞}{\lim }\frac{1}{T}{\∫}_0^{T}y\left(t\right)x(t-\mathrm{\τ})\mathrm{dt}=R_{\mathrm{yx}}(-\mathrm{\τ})$

Can the whole features of reflected signal if signal is periodic signal or a segment signal, then can adopt average in a common cycle or the segment signal to replace the mean value of whole course; For leaking acoustic signals,, needn't unrestrictedly gather as long as two column signals of gathering have all covered the overall process of 500m with the internal leakage sonic propagation; Like this, the related function computing formula is as follows:

$R_{\mathrm{xy}}\left(\mathrm{\τ}\right)=\frac{1}{T_{\max }}{\∫}_0^{T_{\max }}x\left(t\right)y(t+\mathrm{\τ})\mathrm{dt}=R_{\mathrm{yx}}(-\mathrm{\τ})$

The related coefficient computing formula is:

${\mathrm{\ρ}}_{\mathrm{xy}}\left(\mathrm{\τ}\right)=\frac{\underset{T\→\∞}{\lim }\frac{1}{T}{\∫}_0^{T}x\left(t\right)y(t+\mathrm{\τ})\mathrm{dt}-{\mathrm{\μ}}_x{\mathrm{\μ}}_y}{{\mathrm{\σ}}_x{\mathrm{\σ}}_y}=\frac{R_{\mathrm{xy}}\left(\mathrm{\τ}\right)-{\mathrm{\μ}}_x{\mathrm{\μ}}_y}{{\mathrm{\σ}}_x{\mathrm{\σ}}_y}$

Wherein τ is time delay, μ _x, μ _yBe respectively x (t), the average of y (t) two column signals, σ _x, σ _yBe respectively x (t), the variance of y (t) two column signals, because | ρ _Xy(τ) |≤1, so related coefficient | ρ _Xy(τ) |-1, in 1 the scope,, be positioned at the τ value that maximum differs coefficient, be and leak the mistiming that arrives two sensors by the calculating of cross-correlation coefficient;

In order accurately to determine time delay, must calculate ρ at every turn _Xy(τ) and ρ _Xy(-τ), as from the foregoing:

$p_{\mathrm{xy}}(-\mathrm{\τ})=\frac{R_{\mathrm{xy}}(-\mathrm{\τ})-{\mathrm{\μ}}_x{\mathrm{\μ}}_y}{{\mathrm{\σ}}_x{\mathrm{\σ}}_y}=\frac{R_{\mathrm{yx}}\left(\mathrm{\τ}\right)-{\mathrm{\μ}}_x{\mathrm{\μ}}_y}{{\mathrm{\σ}}_x{\mathrm{\σ}}_y}$ If ρ _Xy(τ) find the related coefficient maximum point in the waveform, show that then the time of leaking arrival in x (t) signal is early than y (t), even ρ _XyFind the point of related coefficient maximum in the waveform of (-τ), show that then leaking the time that arrives in x (t) signal is later than y (t); If it is the computing relay time is zero after the correlation analysis, relevant or be noise or show to leak and be positioned at two sensors centers, the correlation analysis again that should move a sensing station in the middle of then showing;

(4), according to this mistiming, by distance between two sensors and the velocity of propagation of sound wave in different tubing, calculate leakage point apart from the distance of two sensors:

D＝2L+(V×T _d)

L＝0.5(D-V×T _d)

Wherein L is the nearer sensor distance of leakage point distance, and D is the distance of two sensors, and V is the speed of sound wave, and Td is Td for the mistiming of leaking two sensors of sound wave arrival; The speed V of above-mentioned sound wave is determined by the pipeline velometer of in advance given different tubing, various outer diameter.

A kind of liquid pressure conduit leak detection device of the present invention, it comprises: two are separately positioned on the tested pipeline two ends and gather the time-domain signal of leakage noise and the transmitter section of the vibration transducer and the constant-current source circuit of frequency-region signal, the two-way high-pass filtering circuit that is connected above-mentioned vibration transducer output terminal, the two paths of signals amplifying circuit that is connected above-mentioned high-pass filtering circuit output terminal and automatic gain amplifying circuit, the two paths of signals amplification that is connected above-mentioned two paths of signals amplifying circuit and automatic gain amplification circuit output end or attenuator circuit and wireless transmitter module composition; Also comprise: two wireless receiving modules, be connected above-mentioned two wireless receiving module output terminals the two paths of signals amplifying circuit, be connected above-mentioned two paths of signals amplification circuit output end two-way A/D sample circuit, connect above-mentioned two-way A/D sample circuit, by usb circuit with finish and calculate the receiver section that mistiming that two row noise signals that above-mentioned two sensors receive arrive and leakage point are formed jointly apart from the computing machine of two sensor distance.

Aforesaid artificial intelligence liquid pressure conduit leak detection device is characterized in that: sensor adopts the ceramic crystal acceleration transducer.

Aforesaid artificial intelligence liquid pressure conduit leak detection device is characterized in that: the filtering circuit of transmitter section adopts the oval filtering circuit in 6 rank or adopts the switch-capacitor filtering circuit.

Aforesaid artificial intelligence liquid pressure conduit leak detection device is characterized in that: the auto-gain circuit of transmitter section adopts audio frequency automatic gain amplifier element.

Aforesaid artificial intelligence liquid pressure conduit leak detection device is characterized in that: transmitting set adopts the analog transmissions module of 500mw, and carrier frequency is in the industrial frequency range of 450MHz.

Aforesaid artificial intelligence liquid pressure conduit leak detection device, it is characterized in that: amplify or the output terminal of attenuator circuit is connected with and adopts the single-chip microcomputer with A/D sampling in the sheet that the interchange of signal is sampled at the signal of transmitter section, and with the display circuit of the dynamic shows signal intensity of status bar.

Aforesaid artificial intelligence liquid pressure conduit leak detection device is characterized in that: the USB interface of described receiver section comprises integrated capture card.

The present invention has that accuracy of detection height, circuit are provided with that advantages of simple, functional reliability are good, the low cost of manufacture of equipment and advantage and good effect such as easy to use.

Description of drawings

Fig. 1 is the schematic block circuit diagram of the transmitter section of this bright described a kind of liquid pressure conduit leak detection device;

Fig. 2 is the receiver circuit theory diagram of a kind of liquid pressure conduit leak detection device of the present invention;

Fig. 3 is the main flow chart of a kind of liquid pressure conduit leakage detection method of the present invention;

Fig. 4 is a system works synoptic diagram of the present invention.

Embodiment

Detection method ultimate principle of the present invention is as follows:

When pipeline take place to leak, can produce than the high more acoustic pressure wave of light water acoustic frequency along pipe transmmision, the leakage noise frequency just depends primarily on the size of leakage point, and the leakage noise velocity of propagation depends primarily on pipe diameter and tubing; Measure leakage signal by the vibration transducer or the calibrate AE sensor that are placed on pipe ends (leakage point is enclosed in middle), because leakage point may be positioned at the pipeline diverse location, therefore leak the asynchronism(-nization) that acoustic propagation arrives two sensors, utilize the correlation analysis of two column signals, can determine that generally leakage noise arrives the mistiming of two sensors.According to this mistiming, the velocity of propagation in this tubing by distance between two sensors and sound wave can calculate the distance of leakage point apart from two sensors.

If x (t), y (t) are two measured column signals, then its related function computing formula is as follows:

$R_{\mathrm{xy}}\left(\mathrm{\τ}\right)=\underset{T\→\∞}{\lim }\frac{1}{T}{\∫}_0^{T}y\left(t\right)x(t-\mathrm{\τ})\mathrm{dt}=R_{\mathrm{yx}}(-\mathrm{\τ})$

Can the whole features of reflected signal if signal is periodic signal or a segment signal, then can adopt average in a common cycle or the segment signal to replace the mean value of whole course.For leaking acoustic signals,, needn't unrestrictedly gather as long as two column signals of gathering have all covered the overall process with the internal leakage acoustic propagation at 500m.Like this, the cross correlation function computing formula can followingly be similar to:

$R_{\mathrm{xy}}\left(\mathrm{\τ}\right)=\frac{1}{T_{\max }}{\∫}_0^{T_{\max }}x\left(t\right)y(t+\mathrm{\τ})\mathrm{dt}=R_{\mathrm{yx}}(-\mathrm{\τ})$

The related coefficient computing formula is:

${\mathrm{\ρ}}_{\mathrm{xy}}\left(\mathrm{\τ}\right)=\frac{\underset{T\→\∞}{\lim }\frac{1}{T}{\∫}_0^{T}x\left(t\right)y(t+\mathrm{\τ})\mathrm{dt}-{\mathrm{\μ}}_x{\mathrm{\μ}}_y}{{\mathrm{\σ}}_x{\mathrm{\σ}}_y}=\frac{R_{\mathrm{xy}}\left(\mathrm{\τ}\right)-{\mathrm{\μ}}_x{\mathrm{\μ}}_y}{{\mathrm{\σ}}_x{\mathrm{\σ}}_y}$

Wherein: τ is time delay, μ _x, μ _yBe respectively x (t), the average of y (t) two column signals, σ _x, σ _yBe respectively x (t), the variance of y (t) two column signals, | ρ _Xy(τ) |≤1.

Because related coefficient is in [1,1] scope, obviously, it is more convenient to adopt related coefficient to calculate, and judges easily.By the calculating of cross-correlation coefficient, be positioned at the τ value of maximum correlation coefficient, be that leak to arrive two sensor times poor.

Owing to can't know that leakage point is near apart from which sensor in advance, thus in two column signals of two sensors leakage noise time of arrival in order accurately to determine time delay, must calculate ρ the time early or late in another _Xy(τ) and ρ _Xy(-τ), by as can be known top:

${\mathrm{\ρ}}_{\mathrm{xy}}(-\mathrm{\τ})=\frac{R_{\mathrm{xy}}(-\mathrm{\τ})-{\mathrm{\μ}}_x{\mathrm{\μ}}_y}{{\mathrm{\σ}}_x{\mathrm{\σ}}_y}=\frac{R_{\mathrm{yx}}\left(\mathrm{\τ}\right)-{\mathrm{\μ}}_x{\mathrm{\μ}}_y}{{\mathrm{\σ}}_x{\mathrm{\σ}}_y}$

In order to distinguish two vibration transducers, it is demarcated is red sensor and blue sensor, supposes the signal that x (t) surveys for red sensor, and y (t) is the signal that blue sensor is surveyed, and the signal x (t) that measures with red sensor is a standard, if ρ _Xy(τ) find the point of related coefficient maximum in the waveform, then show and leak time of arriving in x (t) signal, promptly leak apart from red sensor more closely early than y (t); If ρ _Xy(τ) find the point of related coefficient maximum in the waveform, show that then leaking the time that arrives in x (t) signal is later than y (t), promptly leak apart from red sensor far, apart from blue sensor more closely; If be zero the time delay of calculating after the correlation analysis, relevant in the middle of then showing, or be noise or show to leak and be positioned at two sensors centers, should move correlation analysis again behind the sensing station.

The calculating of leak position:

For the pipeline of different tubing, various outer diameter, the sound propagation velocity difference according to prior given velometer, can be known, the distance between two sensors also can be surveyed.

Suppose that leakage point is L apart from nearer sensor distance, the distance between two sensors is D, and the speed of sound wave is V, and leaking the mistiming that sound wave arrives two sensors is Td, and then leakage point is as follows apart from nearer sensor distance computing formula:

D＝2L+(V×T _d)

L＝0.5(D-V×T _d)

Equipment of the present invention is seen shown in Fig. 1,2, wireless digital transport leaks detector adopts Industrial PC and high precision collecting card to finish the collection of signal, the mode of employing digital radio communication is finished the transmission of signal, wireless transmitter module is gathered PC with industry and is adopted serial port to be connected, main frame is by Industrial PC, join wireless receiving module, dsp board and LCD LCD, that finishes signal connects book, software digital filter and correlation analysis, input and output and man-machine interface.

The present invention also can adopt the wire transmission Leak Detection, become with correlation analysis instrument host-level by two test sides, two test sides have only vibrating sensing/transmitter, main frame is made up of Industrial PC, high precision collecting card, dsp board, LCD LCD and storage battery power supply device, is finished digital filtering, correlation analysis, the input and output of signal and is gone into machine interface etc. by software.

The wireless analogue retransmission leakage detector is made up of two test sides and correlation analysis instrument main frame, two test sides are made up of vibration transducer/transmitter and wireless simulation transmitter module, storage battery power supply device, main frame is made up of Industrial PC, high precision collecting card, dsp board, LCD LCD, corresponding two wireless simulation receiver modules and storage battery power supply device, finish the digital filtering of signal equally by software, correlation analysis, input and output and man-machine interface etc.

System operating mode is referring to Fig. 4:

1, two sensors is positioned on the pipeline of two of leaking pipes, can be placed on well, on the water meter, hydrant or other and exposure pipeline that pipeline directly links to each other.Requirement is according to the situation of pipeline, and near from leakage point as far as possible, effect is relatively good like this.

2, connect transmitter, receiver and notebook and start.

3, open related software, carry out the position of correlated judgment leak source according to the step of instructions.

Fig. 1 is seen in the transmitter circuitry design:

Transmitter is to finish noise pickup, the major equipment of selecting and amplifying, therefore its design also directly influences last result, because noise signal concentrates on audiorange, and exists a large amount of interference noises in the working environment, therefore carrying out suitable filtering just becomes requisite work, in addition, the intensity of on-the-spot noise is also inconsistent, and thus, it also is a technical essential that dynamic signal amplifies.

In the working environment, automobile noise is at random, and its intensity is very big, must carry out filtering to it, normal automobile noise is through on-the-spot test, pass to mainly concentrating on tens hertz the frequency range on the pipeline, therefore in filtering circuit, to tens hertz low-frequency noise significantly be decayed, at least 50dB will decay, finish this index, the oval filtering that must at least 6 rank or the Chebyshev on 8 rank, Bessel filter just can be finished, perhaps can adopt the switch-capacitor filtering integrated circuit, its effect is also fine.

Auto-gain circuit can be selected the programme-controlled gain circuit of level or stepless auto-gain circuit for use, at the scene under the noise ratio situation more at random, stepless auto-gain circuit is more secure to correlated results, therefore selects for use suitable automatic gain amplification chip also will produce certain influence to the sensitivity of instrument.

Sensor adopts the ceramic crystal acceleration transducer among Fig. 1, sensitivity 10V/g, and bandwidth is 0-5000Hz, the input of 4mA constant current source.

Constant-current source circuit can adopt preferred circuit.

Filtering circuit is owing to the decay that requires stopband is had 60-80dB, and transitional zone is narrower, therefore can adopt the oval filtering circuit in 6 rank or adopt the switch-capacitor filtering circuit.

Auto-gain circuit can adopt audio frequency automatic gain amplifier element, also can design voluntarily.

Signal condition is to require signal is carried out suitable amplification or decay according to the input of wireless signal transmitting module ground.

Wireless transmit can adopt the analog transmissions module of 500mW, and carrier frequency can be in the industrial frequency range of 450MHz.

Signal intensity shows and can adopt the single-chip microcomputer with A/D sampling in the sheet that the interchange of signal is sampled, and with the intensity of the dynamic shows signal of status bar.

Among Fig. 2, the signal that signal conditioning circuit is responsible for receiving is through suitable amplification, and the input range A/D sample circuit sampling rate that makes it suitable A/D sample circuit is 10K/s, and time error is no more than 1 ‰.

USB interface can have integrated capture card to provide, and also can oneself design.

Software design scheme of the present invention:

In order to guarantee the reliability of system, improve the processing speed of system as far as possible, adopt the MSVC++6.0 of Windows NT4.0 operating system to finish at main frame.Software module has:

1, data acquisition A/D modular converter

2, wireless communication module

3, the online detection module of test side battery power consumption

4, underwater sound playing module

5, digital filtering module

6, fft block speed Fourier transform and analysis of spectrum module

7, cross-correlation analysis module

8, module is confirmed in the leakage positioning statistical study

9, multiple tubing (in 10 kinds) leakage positioning module

10, based on the computation schema theory of linear regression (irrelevant) leakage positioning module with velocity of propagation

11, autocorrelation analysis module

12, the pipeline distance is then measured module (comprise introduce noise source be positioned in the middle of two sensors and the two kinds of situations in outside) between two sensors

13, management of sound propagation velocity table and data interpolating module

14, human-computer interface module

15, the online detection module of cell host power consumption

16, different tubing sound propagation velocity measurement modules (comprising that the introducing noise source is positioned in the middle of two sensors and the two kinds of situations in outside)

The figure of all demonstrations has; The time-domain signal that vibration transducer is gathered on two, frequency-region signal, filtered time-domain signal, correlation analysis result.

All preservable data have: two time-domain signal, frequency signal, correlation analysis structure fruits that vibration transducer is gathered.

Working method: adopt the man-machine interface mode of operation to carry out, when carrying out correlation analysis, the 1s time is finished data acquisition, transmission, digital filtering, correlation analysis and graphic presentation once.When finding leakage point, can stop after determining automatically, otherwise, continuous collecting, analysis, up to the people for till stopping.

Claims (8)

1, a kind of liquid pressure conduit leakage detection method, its step is as follows:

(1), two sensors of measuring channel internal leakage noise is positioned over the noise signal of picking up on the exposure pipeline of tested leaking pipe both sides in the pipeline;

(2), the noise signal to collecting by step 1, carry out high-pass filtering, signal amplification and automatic gain, find out and the corresponding audiorange signal of the noise that leaks, the leakage noise signal is directly delivered to the leakage positioning analytic system by cable or by the wireless transmit mode;

(3), the leakage positioning analytic system utilizes leakage noise propagate to arrive the asynchronism(-nization) of two sensors, promptly utilizes the mutual analysis of two column signals, can determine that leakage noise arrives the mistiming of two sensors;

If x (t), y (t) are two measured column signals, then its related function computing formula is as follows:

$R_{\mathrm{xy}}\left(\mathrm{\τ}\right)=\underset{T\→\∞}{\lim }\frac{1}{T}{\∫}_0^{T}y\left(t\right)x(t-\mathrm{\τ})\mathrm{dt}=R_{\mathrm{yx}}(-\mathrm{\τ})$

Can the whole features of reflected signal if signal is periodic signal or a segment signal, then can adopt average in a common cycle or the segment signal to replace the mean value of whole course; For leaking acoustic signals,, needn't unrestrictedly gather as long as two column signals of gathering have all covered the overall process of 500m with the internal leakage sonic propagation; Like this, the related function computing formula is as follows:

$R_{\mathrm{xy}}\left(\mathrm{\τ}\right)=\frac{1}{T_{\max }}{\∫}_0^{T_{\max }}x\left(t\right)y(t+\mathrm{\τ})\mathrm{dt}=R_{\mathrm{yx}}(-\mathrm{\τ})$

The related coefficient computing formula is:

${\mathrm{\ρ}}_{\mathrm{xy}}\left(\mathrm{\τ}\right)=\frac{\underset{T\→\∞}{\lim }\frac{1}{T}{\∫}_0^{T}x\left(t\right)y(t+\mathrm{\τ})\mathrm{dt}-{\mathrm{\μ}}_x{\mathrm{\μ}}_y}{{\mathrm{\σ}}_x{\mathrm{\σ}}_y}=\frac{R_{\mathrm{xy}}\left(\mathrm{\τ}\right)-{\mathrm{\μ}}_x{\mathrm{\μ}}_y}{{\mathrm{\σ}}_x{\mathrm{\σ}}_y}$

Wherein τ is time delay, μ _x, μ _yBe respectively x (t), the average of y (t) two column signals, σ _x, σ _yBe respectively x (t), the variance of y (t) two column signals, because | ρ _Xy(τ) |≤1, so related coefficient | ρ _Xy(τ) |-1, in 1 the scope,, be positioned at the τ value that maximum differs coefficient, be and leak the mistiming that arrives two sensors by the calculating of cross-correlation coefficient;

In order accurately to determine time delay, must calculate ρ at every turn _Xy(τ) and ρ _Xy(-τ), as from the foregoing:

${\mathrm{\ρ}}_{\mathrm{xy}}(-\mathrm{\τ})=\frac{R_{\mathrm{xy}}(-\mathrm{\τ})-{\mathrm{\μ}}_x{\mathrm{\μ}}_y}{{\mathrm{\σ}}_x{\mathrm{\σ}}_y}=\frac{R_{\mathrm{yx}}\left(\mathrm{\τ}\right)-{\mathrm{\μ}}_x{\mathrm{\μ}}_y}{{\mathrm{\σ}}_x{\mathrm{\σ}}_y}$ If ρ _Xy(τ) find the related coefficient maximum point in the waveform, show that then the time of leaking arrival in x (t) signal is early than y (t), even ρ _XyFind the point of related coefficient maximum in the waveform of (-τ), show that then leaking the time that arrives in x (t) signal is later than y (t); If it is the computing relay time is zero after the correlation analysis, relevant or be noise or show to leak and be positioned at two sensors centers, the correlation analysis again that should move a sensing station in the middle of then showing;

(4), according to this mistiming, by distance between two sensors and the velocity of propagation of sound wave in different tubing, calculate leakage point apart from the distance of two sensors:

D＝2L+(V×T _d)

L＝0.5(D-V×T _d)

Wherein L is the nearer sensor distance of leakage point distance, and D is the distance of two sensors, and V is the speed of sound wave, and Td is Td for the mistiming of leaking two sensors of sound wave arrival; The speed V of above-mentioned sound wave is determined by the pipeline velometer of in advance given different tubing, various outer diameter.

2, a kind of liquid pressure conduit leak detection device is characterized in that: it comprises that two are separately positioned on the time-domain signal of tested pipeline two ends collection leakage noise and the vibration transducer and the constant-current source circuit of frequency-region signal, be connected the two-way high-pass filtering circuit of above-mentioned vibration transducer output terminal, be connected the two paths of signals amplifying circuit and the automatic gain amplifying circuit of above-mentioned high-pass filtering circuit output terminal, be connected the two paths of signals amplification of above-mentioned two paths of signals amplifying circuit and automatic gain amplification circuit output end or the transmitter section of attenuator circuit and wireless transmitter module composition; Also comprise: two wireless receiving modules, be connected above-mentioned two wireless receiving module output terminals the two paths of signals amplifying circuit, be connected above-mentioned two paths of signals amplification circuit output end two-way A/D sample circuit, connect above-mentioned two-way A/D sample circuit, by usb circuit with finish and calculate the receiver section that mistiming that two row noise signals that above-mentioned two sensors receive arrive and leakage point are formed jointly apart from the computing machine of two sensor distance.

3, artificial intelligence liquid pressure conduit leak detection device as claimed in claim 2 is characterized in that: sensor adopts the ceramic crystal acceleration transducer.

4, artificial intelligence liquid pressure conduit leak detection device as claimed in claim 2 is characterized in that: the filtering circuit of transmitter section adopts the oval filtering circuit in 6 rank or adopts the switch-capacitor filtering circuit.

5, artificial intelligence liquid pressure conduit leak detection device as claimed in claim 2 is characterized in that: the auto-gain circuit of transmitter section adopts audio frequency automatic gain amplifier element.

6, artificial intelligence liquid pressure conduit leak detection device as claimed in claim 2 is characterized in that: transmitting set adopts the analog transmissions module of 500mw, and carrier frequency is in the industrial frequency range of 450MHz.

7, artificial intelligence liquid pressure conduit leak detection device as claimed in claim 2, it is characterized in that: amplify or the output terminal of attenuator circuit is connected with and adopts the single-chip microcomputer with A/D sampling in the sheet that the interchange of signal is sampled at the signal of transmitter section, and with the display circuit of the dynamic shows signal intensity of status bar.

8, artificial intelligence liquid pressure conduit leak detection device as claimed in claim 2, it is characterized in that: the USB interface of described receiver section comprises integrated capture card.

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