CN117153194A - Real-time water leakage monitoring method of water leakage detection valve - Google Patents

Real-time water leakage monitoring method of water leakage detection valve Download PDF

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Publication number
CN117153194A
CN117153194A CN202311422078.8A CN202311422078A CN117153194A CN 117153194 A CN117153194 A CN 117153194A CN 202311422078 A CN202311422078 A CN 202311422078A CN 117153194 A CN117153194 A CN 117153194A
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frequency domain
signal
sound
different positions
water leakage
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CN117153194B (en
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蔡敏
王小京
王艳秋
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Tianjin Tianfei High Tech Valve Co ltd
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Tianjin Tianfei High Tech Valve Co ltd
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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17D—PIPE-LINE SYSTEMS; PIPE-LINES
    • F17D5/00—Protection or supervision of installations
    • F17D5/02—Preventing, monitoring, or locating loss
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M3/00—Investigating fluid-tightness of structures
    • G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
    • G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
    • G01M3/24—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using infrasonic, sonic, or ultrasonic vibrations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M3/00—Investigating fluid-tightness of structures
    • G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
    • G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
    • G01M3/24—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using infrasonic, sonic, or ultrasonic vibrations
    • G01M3/243—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using infrasonic, sonic, or ultrasonic vibrations for pipes
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/27—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique
    • G10L25/30—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique using neural networks

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Signal Processing (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Computational Linguistics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Examining Or Testing Airtightness (AREA)

Abstract

The application provides a real-time water leakage monitoring method of a water leakage detection valve, which relates to the technical field of fluid measurement, wherein sound signals inside the valve and external sound signals are respectively collected through sensors at different positions in a pipeline and sensors at an outlet of the valve, and the collected sound signals are preprocessed; analyzing waveform characteristics of the sound signal at the valve outlet by using a frequency domain characteristic decomposition method, and filtering background noise to obtain a sound frequency domain signal at the valve outlet after noise reduction; extracting sound frequency domain signals at different positions in a pipeline, and respectively calculating the signal ratio of the sound frequency domain signals at the different positions to the sound frequency domain signals at the valve outlet taking propagation loss into consideration; and respectively calculating the transformation trend of the signal ratios at different positions, and monitoring the water leakage condition by using the BP neural network model.

Description

Real-time water leakage monitoring method of water leakage detection valve
Technical Field
The application relates to the technical field of liquid measurement, in particular to a real-time water leakage monitoring method of a water leakage detection valve.
Background
Water leakage from the water supply pipe is a difficult problem to monitor. The annual leakage of urban water supply in the whole country is about 100 hundred million cubic meters. In view of limited water resources and residential costs, pipe leakage becomes a major problem in water supply pipelines. Pipe network leakage occurs due to various reasons, such as pipeline main body damage, pipeline connection damage, pipeline accessory water leakage and the like. To reduce the pipe network leakage, the position and the size of the leakage must be detected so as to perform corresponding treatment.
The disadvantage of the method based on flow monitoring in the prior art is that the position of the leakage point and the size of the leakage amount can be found finally by gradually shrinking the detection area, but the method has very high working strength, and is often carried out in late night, and valves are frequently opened and closed in one area, so that the water flow in a pipeline is frequently changed, pipe scales fall off, and the risk of water quality deterioration is brought.
Disclosure of Invention
In order to solve the technical problems, the application provides a real-time water leakage monitoring method of a water leakage detection valve, which comprises the following steps:
s1, respectively acquiring sound signals in a pipeline and sound signals at a valve outlet through sensors at different positions in the pipeline and sensors at the valve outlet, and preprocessing the acquired sound signals;
s2, analyzing waveform characteristics of the sound signal at the valve outlet by using a frequency domain characteristic decomposition method, and filtering background noise to obtain a sound frequency domain signal at the valve outlet after noise reduction;
s3, extracting sound frequency domain signals at different positions in the pipeline, and respectively calculating the signal ratio of the sound frequency domain signals at the different positions to the sound frequency domain signals at the valve outlet taking propagation loss into consideration;
s4, respectively calculating transformation trends of signal ratios of different positions, and monitoring water leakage by using a BP neural network model.
Further, step S3 includes:
s31, extracting different positions x in the pipeline i Sound signal L at PN (x i ) Calculate different positions x i Propagation loss T of the acoustic signal at L (x i )；
S32, calculating different positions x in the pipeline i Signal ratio of the acoustic frequency domain signal at the valve outlet taking into account propagation loss。
Further, different positions x i Propagation loss T of the acoustic signal at L (x i ) Calculated from the following formula:
；
wherein f P Peak frequency of sound generated for liquid flow, t p Representing the thickness of the pipe wall, p s Is a correction value of the sound frequency,for fluid density, c 2 Is the flow rate of the liquid in the pipeline.
Further, different positions x within the pipe i Signal ratio of the acoustic frequency domain signal at the valve outlet taking into account propagation lossThe method comprises the following steps:
；
wherein: l (L) PN (x i ),L PW (x i ) Respectively different positions x in the pipeline i Sound frequency domain signal at the position and sound frequency domain signal at the valve outlet, T L (x i ) For different positions x i Propagation loss of the sound signal at that location.
Further, the transformation trend of the sound signal ratio of different positionsThe method comprises the following steps:
；
and->Respectively representing the sensor positions x i And x i-1 Signal ratio at;
will beAnd (3) carrying into a BP neural network model:
；
wherein Y is the output data of the BP neural network model,is a model parameter, Z is a hysteresis operator;
when obvious mutation exists in the output data Y of the BP neural network model, the position x is proved i Water leakage occurs at the position.
Further, step S2 includes:
s21, detecting a frequency domain characteristic function of a sound signal at an outlet of the valve in a frequency domain;
s22, constructing a band elimination filter, and filtering the frequency domain characteristic function to obtain a sound frequency domain signal at the outlet of the valve with noise reduction.
Further, in step S22, the filtering function of the band-stop filter is H (f) as follows:
；
wherein: f represents a frequency domain feature function; f (f) 0 Representing the frequency domain characteristic signal most affected by noise;representing the frequency domainThe total bandwidth of the characteristic signal.
Further, the frequency domain characteristic function f (t) of the sound signal at the valve outlet in the frequency domain is:
；
k frequency domain characteristic signals with the frequency t;
；
amplitude of frequency domain characteristic signal at frequency t, < >>Is a phase function of the frequency domain characteristic signal.
Compared with the prior art, the application has the following beneficial technical effects:
the sound signals inside the valve and the sound signals outside the valve are respectively collected through the sensors at different positions in the pipeline and the sensors at the outlet of the valve, the collected sound signals are preprocessed, and a data analysis basis can be provided for accurately judging the water leakage position in the subsequent step through the sound information at different positions; analyzing waveform characteristics of the sound signal at the valve outlet by using a frequency domain characteristic decomposition method, filtering background noise to obtain a sound frequency domain signal at the valve outlet after noise reduction, and removing the background noise can improve monitoring precision; extracting sound frequency domain signals at different positions in a pipeline, and respectively calculating the signal ratio of the sound frequency domain signals at the different positions to the sound frequency domain signals at the valve outlet taking propagation loss into consideration; the transformation trend of the signal ratio of different positions is calculated respectively, the water leakage condition is monitored by utilizing the BP neural network model, and the water leakage state of the valve is monitored in real time, so that the water leakage monitoring efficiency is improved, the water leakage of the valve is found and solved in time, and the detection result is accurate and reliable.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a flow chart of a real-time water leakage monitoring method of the water leakage detection valve of the present application.
Fig. 2 is a schematic representation of sound frequency domain signals at two different locations within a pipeline of the present application.
FIG. 3 is a schematic diagram showing the positions of the leakage point and the two side sensors according to a preferred embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the drawings of the specific embodiments of the present application, in order to better and more clearly describe the working principle of each element in the system, the connection relationship of each part in the device is represented, but only the relative positional relationship between each element is clearly distinguished, and the limitations on the signal transmission direction, connection sequence and the structure size, dimension and shape of each part in the element or structure cannot be constructed.
As shown in fig. 1, a flow chart of a real-time water leakage monitoring method of the water leakage detection valve of the present application is shown, and the real-time water leakage monitoring method includes:
s1, respectively acquiring sound signals in the pipeline and sound signals at the valve outlet through sensors at different positions in the pipeline and sensors at the valve outlet, and preprocessing the acquired sound signals.
The sensor is arranged at different positions in the pipeline and used for collecting sound signals at different positions in the pipeline, and the sensor is arranged at the outlet of the detection valve and used for detecting sound signals at the water outlet of the valve.
The signal acquisition system is wirelessly connected with sensors at different positions in the pipeline and sensors at the outlet of the detection valve, and acquires sound signals wirelessly transmitted by the sensors through the sound wave receiver; the sound signal processing unit pre-processes the collected sound signals, including filtering, amplifying the sound signals and converting from discrete signals to standard digital signals.
S2, analyzing waveform characteristics of the sound signal at the valve outlet by using a frequency domain characteristic decomposition method, and filtering background noise to obtain the sound frequency domain signal at the valve outlet after noise reduction.
Because the background noise exists in the sound signal at the outlet of the detection valve, the application analyzes the waveform characteristics of the sound signal at the outlet of the detection valve by using a modal decomposition method and analyzes the frequency domain characteristic signal.
S21, a frequency domain characteristic function f (t) of the sound signal at the valve outlet in a frequency domain is as follows:
；
k frequency domain characteristic signals with the frequency t;
；
amplitude of frequency domain characteristic signal at frequency t, < >>Is a phase function of the frequency domain characteristic signal.
The frequency domain feature function f (t) is:
；
s22, constructing a band elimination filter, and filtering the frequency domain characteristic function to obtain a sound frequency domain signal at the outlet of the valve with noise reduction.
And constructing a filter, designing a band-stop filter according to the frequency range which is maximally affected by noise, and setting the cut-off frequency, the pass-band width and the stop-band width of the corresponding filter.
The specific formula of the band-stop filter with the filtering function H (f) is as follows:
；
wherein: f represents a frequency domain feature function; f (f) 0 Representing the frequency domain characteristic signal most affected by noise;representing the total bandwidth of the k frequency domain signature signals.
And filtering the sound signal at the outlet of the detection valve according to the filtering function of the band elimination filter to obtain a filtered frequency domain characteristic signal, and reconstructing the filtered frequency domain characteristic signal to obtain a sound frequency domain signal at the outlet of the detection valve with noise reduction.
S3, extracting sound frequency domain signals at different positions in the pipeline, and respectively calculating the signal ratio of the sound frequency domain signals at the different positions to the sound frequency domain signals at the valve outlet considering propagation loss.
S31, extracting different positions x in the pipeline i Sound frequency domain signal L thereat PN (x i ) Calculate different positions x i Propagation loss T of the acoustic signal at L (x i )。
Due to absorption and obstruction of acoustic signals by the pipeActing at different positions x i Sound signal L at PN (x i ) There is some attenuation of the transmission to the outlet of the check valve. The amount of attenuation is affected by various factors such as the fluid medium, the material of the pipe, the sound frequency, etc.
Different positions x i Propagation loss T of the acoustic signal at L (x i ) Calculated from the following formula:
；
wherein f P Peak frequency of sound generated for liquid flow, different positions x i The value is expressed in terms of the distance of the sensor's position from the outlet of the detection valve, t p Representing the thickness of the pipe wall, p s Is a correction value of the sound frequency,for fluid density, c 2 For the flow rate of liquid in the pipe, it is calculated from the formula:
；
r is the liquid constant in the tube, T 2 In order to be the absolute temperature in the pipe,specific heat for liquid; m is the molecular mass of the fluid.
As shown in fig. 2, a schematic representation of the acoustic frequency domain signal at two different locations within the pipeline is shown.
S32, calculating different positions x in the pipeline i Signal ratio of the acoustic frequency domain signal at the valve outlet taking into account propagation loss：
；
Wherein: l (L) PN (x i ),L PW (x i ) Respectively different positions x in the pipeline i Sound frequency domain signal at the position and sound frequency domain signal at the valve outlet, T L (x i ) For different positions x i Propagation loss of the sound signal at that location.
S4, respectively calculating the transformation trend of the sound signal ratio of different positionsAnd monitoring the water leakage condition by using the BP neural network model.
；
And->Respectively representing the sensor positions x i And x i-1 Sound signal ratio at.
Will beAnd (3) carrying into a BP neural network model:
；
wherein Y is the output data of the BP neural network model,is a model parameter, which transforms the trend of the sound signal ratioAs input signal, Z is the hysteresis operator, when model parameter +.>During stabilization, the stability of the BP neural network model can be guaranteed, and model parameters are +.>Obtained through a model training process.
When obvious mutation exists in the output data Y of the BP neural network model, the position x is proved i Andx i-1 there may be a liquid leak between them, at which time the acoustic signal processing unit will send an early warning signal.
In a preferred embodiment, when position x is detected i Andx i-1 when there may be a liquid leak between, the specific leak location may be located based on the energy statistics.
As shown in fig. 3, A, B is a sensor placed on both sides of a leak point, P is the leak point, and the distance J of the leak point P from the sensor a is:
J=(D-R)/2 （1）；
where the distance D is measurable, i.e. d=x i -x i-1 The distance L can be obtained if the distance R can be known.
In the case where no leakage occurs, the acoustic signal obtained by the sensor A, B is vibration generated when the fluid in the pipe normally flows, and in the case where the fluid in the pipe stably flows, the energy of the signal obtained by the sensor A, B is the same or substantially the same. When a leak occurs in the pipeline, for example, a leak point occurs at point P, the signal obtained by the sensor A, B is obtained by superimposing the influence of the leak on the sound signal of the normal flow of the fluid, and the energy values of the signals obtained by the sensors A, B are no longer close because the distance from the leak point is different.
In detecting a pipe leak, the attenuation of the energy of a wave propagating in the pipe during propagation is proportional to the inverse square root of the distance r from the source to the wavefront location, which can be expressed as:
（2）；
wherein I represents the energy from source r, I O The energy at the source is represented, k is a proportionality constant and can be measured by experiment.
The R value in the calculation formula is described below with reference to fig. 3.
Is provided with a sensorThe signal energies obtained by the device A, B are respectively I A 、I B The signal energy at point C is I C . The distance between the set point A and the set point C and the leakage point is equal, and the following are:
I C =I A （3）；
（4）；
（5）；
the J can be obtained by substituting the formula (5) into the formula (1).
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted across a computer-readable storage medium. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
While the application has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the application. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims (8)

1. The real-time water leakage monitoring method of the water leakage detection valve is characterized by comprising the following steps of:
s1, respectively acquiring sound signals in a pipeline and sound signals at a valve outlet through sensors at different positions in the pipeline and sensors at the valve outlet, and preprocessing the acquired sound signals;
s2, analyzing waveform characteristics of the sound signal at the valve outlet by using a frequency domain characteristic decomposition method, and filtering background noise to obtain a sound frequency domain signal at the valve outlet after noise reduction;
s3, extracting sound frequency domain signals at different positions in the pipeline, and respectively calculating the signal ratio of the sound frequency domain signals at the different positions to the sound frequency domain signals at the valve outlet taking propagation loss into consideration;
s4, respectively calculating transformation trends of signal ratios of different positions, and monitoring water leakage by using a BP neural network model.
2. The real-time water leakage monitoring method according to claim 1, wherein step S3 comprises:
s31, extracting different positions x in the pipeline i Sound frequency domain signal L thereat PN (x i ) Calculate different positions x i Propagation loss T of the acoustic signal at L (x i )；
S32, calculating different positions x in the pipeline i Signal ratio L (x) i )。
3. The real-time water leakage monitoring method according to claim 2, wherein the different positions x i Propagation loss T of the acoustic signal at L (x i ) Calculated from the following formula:
；
wherein f P Peak frequency of sound generated for liquid flow, t p Representing the thickness of the pipe wall, p s Is a correction value of the sound frequency,for fluid density, c 2 Is the flow rate of the liquid in the pipeline.
4. The real-time water leakage monitoring method according to claim 2, wherein different positions x in the pipe i Signal ratio L (x) i ) The method comprises the following steps:
；
wherein: l (L) PN (x i ),L PW (x i ) Respectively different positions x in the pipeline i Sound frequency domain signal at the position and sound frequency domain signal at the valve outlet, T L (x i ) For different positions x i Propagation loss of the sound signal at that location.
5. The method for real-time water leakage monitoring according to claim 2, wherein in step S4, the trend of the transformation of the signal ratio of the sound frequency domain signals at different positionsThe method comprises the following steps:
；
and->Respectively representing the sensor positions x i And x i-1 The signal ratio of the sound frequency domain signal at;
will beAnd (3) carrying into a BP neural network model:
；
wherein Y is the output data of the BP neural network model,is a model parameter, Z is a hysteresis operator;
when obvious mutation exists in the output data Y of the BP neural network model, the sensor position x is proved i And x i-1 Water leakage occurs between the two.
6. The real-time water leakage monitoring method according to claim 1, wherein step S2 comprises:
s21, detecting a frequency domain characteristic function of a sound signal at an outlet of the valve in a frequency domain;
s22, constructing a band elimination filter, and filtering the frequency domain characteristic function to obtain a sound frequency domain signal at the outlet of the valve with noise reduction.
7. The method of real-time water leakage monitoring according to claim 6, wherein in step S22, the filter function of the band-stop filter is H (f) as follows:
；
wherein: f represents a frequency domain feature function; f (f) 0 Representing the frequency domain characteristic signal most affected by noise;representing the total bandwidth of the frequency domain signature.
8. The method according to claim 6, wherein in step S21, a frequency domain characteristic function f (t) of the sound signal at the valve outlet in the frequency domain is:
；
k frequency domain characteristic signals with the frequency t;
；
amplitude of frequency domain characteristic signal at frequency t, < >>Is a phase function of the frequency domain characteristic signal.
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Publication number Priority date Publication date Assignee Title
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US20120296580A1 (en) * 2011-05-16 2012-11-22 Dov Barkay Method and system for identifying leaks in liquid pipe construction
CN111022938A (en) * 2019-12-12 2020-04-17 上海邦芯物联网科技有限公司 System for accurately positioning water leakage point of underground water pipe
KR20220138557A (en) * 2021-04-06 2022-10-13 주식회사 지엔지가스텍 Cost-saving export gas circuit breaker gas cock control system considering safety and aesthetics
CN115949891A (en) * 2023-03-09 2023-04-11 天津佰焰科技股份有限公司 Intelligent control system and control method for LNG (liquefied Natural gas) filling station

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