CN106352243B - A kind of gas pipeline leak detection systems based on sonic method - Google Patents

A kind of gas pipeline leak detection systems based on sonic method Download PDF

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CN106352243B
CN106352243B CN201610912886.6A CN201610912886A CN106352243B CN 106352243 B CN106352243 B CN 106352243B CN 201610912886 A CN201610912886 A CN 201610912886A CN 106352243 B CN106352243 B CN 106352243B
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gas pipeline
sound wave
low
detection
frequency sound
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CN106352243A (en
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韩宝坤
闫成稳
鲍怀谦
王昌田
杨凯迪
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Shandong University of Science and Technology
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Shandong University of Science and Technology
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17DPIPE-LINE SYSTEMS; PIPE-LINES
    • F17D5/00Protection or supervision of installations
    • F17D5/005Protection or supervision of installations of gas pipelines, e.g. alarm
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17DPIPE-LINE SYSTEMS; PIPE-LINES
    • F17D5/00Protection or supervision of installations
    • F17D5/02Preventing, monitoring, or locating loss
    • F17D5/06Preventing, monitoring, or locating loss using electric or acoustic means

Abstract

The invention discloses a kind of gas pipeline leak detection systems based on sonic method, including user terminal, cloud server and several detection sections set along gas pipeline, low-frequency sound wave sensor there are two being respectively provided at section, two temperature sensors, two density sensors, two pressure sensors and two digitlization network transmission instrument are each detected.Real-time, high sensitivity of the invention, adaptable, the response time is fast, and positioning accuracy is high, can realize round-the-clock, real-time, strange land detection, can realize the positioning to leak position and the judgement to leaking bore size and shape.

Description

A kind of gas pipeline leak detection systems based on sonic method
Technical field
The present invention relates to a kind of gas pipeline leak detection systems more particularly to a kind of gas pipeline based on sonic method to let out Reveal detecting system and detection method.
Background technology
Pipeline has at low cost, and freight volume is big, and transport is stablized, high degree of automation, can be compared with connecting under adverse circumstances Many advantages, such as continuous conveying, is particularly suitable for the long distance delivery of the flammable and explosive fluids such as petroleum gas.
In recent years, countries in the world greatly increase the demand of the energy, and the construction of gas line enters Rapid development stage, Automatization level improves rapidly, wherein, China's gas pipeline builds total kilometrage more than 80,000 kms, but due to pipe-line equipment Aging, the variation (such as landslide, earthquake) of geographical conditions and it is artificial the reason of (such as construct, stolen), pipe leakage thing Therefore often occur.Pipeline once leaks, and can not only bring direct economic loss caused by due to fluid loss and environment dirty It contaminates, under serious conditions, it is also possible to explosion occur and cause fire or even cause casualties.
At present, the detection of widely used real time leak is examined with alignment system using the leakage based on suction wave mostly both at home and abroad Survey and localization method, practice have shown that, this method has preferable effect to the detection of apparent accident release with positioning, Relatively good effect has been played in practice, achieves apparent economic benefit and social benefit, but this kind of method exists inherently It is insufficient:
(1), it is relatively good to the detection and locating effect of apparent accident release, gradual Small leak is failed to report and is compared More, positioning accuracy is poor;
(2), to operating mode, effect is relatively good for stable long-distance transmission pipeline, and disturbing frequent pipeline to operating mode comes It says, wrong report is relatively more;
(3), it is relatively good close to effect for the fluid pipeline of incompressible fluid to performance, the leakage of gas pipeline is examined It surveys poor or even substantially infeasible with locating effect.
And existing gas pipe leakage detection system, generally using the pattern of fixed measuring station, using not Just.It is long to be detected to come the time to take measures from leakage, it is impossible to it is effective catch processing leakage accident it is best when Machine.
It can be seen that the prior art is up for further improving.
Invention content
In place of the present invention is avoids above-mentioned the shortcomings of the prior art, a kind of real-time, high sensitivity, sound are provided It answers speed fast and can realize the gas pipeline leak detection systems based on sonic method of strange land detection.
When gas pipeline is revealed, under the action of pipeline inside and outside differential pressure, gas is spouting from leakage hole, generates strong Strong speed and pressure fluctuation, so as to generate the aerodynamic noise based on quadrapole sound source.The sound generated during gas pipe leakage Wave signal, a part are propagated along tube wall, but due to the interaction of tube wall and external agency (such as soil, air), this Acoustic wave segment just substantially attenuates after certain distance is propagated, another part then along the gas propagation in pipeline, be not easy by To the interference of external environment.When the present invention is i.e. based on gas pipe leakage designed by the transmitting characteristic of acoustic signals.
The technical solution adopted in the present invention is:
A kind of gas pipeline leak detection systems based on sonic method, including user terminal, cloud server and along gas transmission Several detection sections of pipeline setting, it is each detect be respectively provided at section there are two low-frequency sound wave sensor, two temperature sensors, Two density sensors, two pressure sensors and two digitlization network transmission instrument, wherein,
Two low-frequency sound wave sensors in each detection section are separately positioned on the both ends of the gas pipeline in the detection section, Each low-frequency sound wave sensor is used to acquiring low-frequency sound wave signal in the detection section in gas pipeline, and by collected all-bottom sound Wave signal is amplified and is conveyed to the digitlization net that same test position is in the low-frequency sound wave sensor after tentatively filtering Network transmission instrument;
It is located in the gas pipeline that two temperature sensors in each detection section are arranged in the detection section and respectively The both sides of this section of gas pipeline, each temperature sensor are used to measure the temperature of medium in gas pipeline in the detection section, and will The temperature signal detected is transferred to the digitalized network transmission instrument that same test position is in the temperature sensor;
It is located in the gas pipeline that two density sensors in each detection section are arranged in the detection section and respectively The both sides of this section of gas pipeline, each density sensor are used to measure the density of medium in gas pipeline in the detection section, and will The density signal detected is transferred to the digitalized network transmission instrument that same test position is in the density sensor;
It is located in the gas pipeline that two pressure sensors in each detection section are arranged in the detection section and respectively The both sides of this section of gas pipeline, each pressure sensor are used to measure the pressure of medium in gas pipeline in the detection section, and will The pressure signal detected is transferred to the digitalized network transmission instrument that same test position is in the pressure sensor;
Digitalized network transmission instrument, for low-frequency sound wave signal, temperature signal, density signal, the pressure letter that will be collected into Number digital signal is converted to, while stores data into local and latest data is transferred to high in the clouds clothes in time when network is unimpeded Business device;
Cloud server for carrying out signal processing to the digital signal transmitted from digitalized network transmission instrument, and utilizes FSVM algorithms carry out pattern-recognition, and the feature of low-frequency sound wave signal when gas pipeline leaks is extracted and analyzed by pattern-recognition Amount, judges whether leakage occurs and determine the size and shape of leakage hole;Two low-frequency sound wave sensors connect when simultaneously to leakage The low-frequency sound wave signal received carries out cross-correlation analysis, and combines the velocity of sound in gas pipeline, and it is fixed that the position for revealing mouth is realized Position;Final cloud server sends the data handled to user terminal by wireless network;
User terminal judges the operation conditions of gas pipeline according to the data that cloud server transmits, if occurring Leakage, then send out alarm signal, and provide the position of gas pipeline leakage hole and the size and shape of leakage hole.
Database is provided in the cloud server, the size of several different leakage holes is stored in the database The characteristic quantity of data and shape data and its corresponding leakage acoustic signals, the characteristic quantity of the leakage acoustic signals is basis Theory analysis and measuring are obtained;When the gas pipeline in actual application leaks, cloud server leads to The characteristic quantity of low-frequency sound wave signal when pattern-recognition extracts leakage is crossed, and according to the characteristic quantity logarithm of this low-frequency sound wave signal It according to data existing in library into row interpolation and fitting, and then determines the size and shape of leakage hole, finally artificially measures this The actual size and shape of leakage hole, and the data that the data that the measurement obtains judge with system are compared, by two The deviation of person is saved in database;System interplantation has the function of the algorithm of Machine self-learning, can be according to above-mentioned deviation to data The size data and shape data of characteristic quantity and its corresponding leakage hole for leaking acoustic signals in library are modified;When again When leaking, system will select new interpolation and approximating method according to data new in database, determine the big of leakage hole Small and shape artificially measures the actual size and shape of leakage hole at this time, and the data that the measurement is obtained are with being again The data judged of uniting are compared, and the deviation of the two is saved in database;It is so repeated, judges leakage hole Size and shape.
One of low-frequency sound wave sensor in each detection section is elected to be basic point, low-frequency sound wave senses as basic point Device, corresponding another low-frequency sound wave sensor is as non-basic point low-frequency sound wave sensor;Basic point low-frequency sound wave is sensed The time that device receives leakage acoustic signals is set as t0, non-basic point low-frequency sound wave sensor receive leakage acoustic signals when Between be set as t1,
The position of the basic point low-frequency sound wave sensor in detection section that the leakage mouth distance is revealed is determined by following formula:
Wherein, x is the distance of the basic point low-frequency sound wave sensor in the detection section that leakage hole distance is revealed, and l is every The distance between basic point low-frequency sound wave sensor and non-basic point low-frequency sound wave sensor in a detection section, v are cloud server pair The velocity of sound during gas pipeline leakage that sound velocity data is obtained into row interpolation and after being fitted, △ t are in the detection section revealed Basic point, non-basic point low-frequency sound wave sensor receive gas pipeline leakage when low-frequency sound wave signal time difference;It is described to let out The position of leak finally obtained by the position of the basic point low-frequency sound wave sensor in the detection section revealed and above-mentioned calculating away from It is determined from x;
The velocity of sound v is obtained by following approach:It is also stored in the database and measures in the lab not in advance The data of the velocity of sound c in gas pipeline medium in same Media density, different medium temperature and different gas pipelines under pressure, institute Stating cloud server can be according in the density of the medium in the gas pipeline detected in real time, the temperature and gas pipeline of medium Pressure to the sound velocity data in database into row interpolation and fitting, you can obtain velocity of sound v during gas pipeline leakage;
The time difference △ t are obtained by following approach:Cloud server is to the basic point, non-in the detection section revealed The low-frequency sound wave signal that basic point low-frequency sound wave sensor measures carries out cross-correlation analysis, can obtain in the detection section revealed The time difference of low-frequency sound wave signal during the gas pipeline leakage that basic point, non-basic point low-frequency sound wave sensor receive, and compare t0And t1Size, work as t0>t1When, the time difference is just;Work as t0<t1When, the time difference is negative;Work as t0=t1When, the time difference zero.
The user terminal is smart mobile phone, tablet computer or personal computer.
By adopting the above-described technical solution, having the beneficial effect that acquired by the present invention:
1st, real-time, high sensitivity of the invention, adaptable, the response time is fast, and positioning accuracy is high, can realize complete Weather, in real time, strange land detection, be not only able to realize the positioning of leak position also be able to realize to leaking bore size and shape Judgement.Quickly determine that best solution provides the firsthand information for user.
2nd, the detecting system in the present invention has the function of Machine self-learning, can utilize the feature of previous leakage hole, carry out Automatic Optimal upgrades, and so that with the growth of application time, the sensitivity of system and accuracy can be higher and higher.
3rd, the present invention transmits data using digitalized network transmission instrument to cloud server, adaptable.Either population Dense city or unfrequented wilderness, can work well.
4th, the detecting system in the present invention is using being fitted sound velocity data library and the method for interpolation obtains real-time sound Speed enormously simplifies system structure, improves positioning accuracy, accelerates the response speed of system.One cloud server can be with Multiple test points share, so as to reduce cost.The present invention uses infrasound combination FSVM intelligent algorithms and Machine self-learning Algorithm carries out the leak detection of gas pipeline, is greatly improved sensitivity and the precision of system.
5th, in the present invention, smart mobile phone, tablet computer, PC can all be used as user terminal, and then improve the flexible of system Property, it can be achieved that more people, mostly, on-line monitoring in real time, can shorten to the maximum extent from leaking into time for taking measures And the probability that can be reduced and misrepresent deliberately to the maximum extent, fail to report.
6th, the low-frequency sound wave that sends out detects gas pipeline operation conditions when the present invention is using pipe leakage, is a kind of lossless The means of detection.
Description of the drawings
Fig. 1 is the systematic schematic diagram of the present invention.
Fig. 2 is the composition frame chart of low-frequency sound wave sensor in the present invention.
Fig. 3 is the composition frame chart of digitalized network transmission instrument in the present invention.
Wherein,
1st, leakage hole 2, low-frequency sound wave sensor 3, temperature sensor 4, density sensor 5, pressure sensor 6, number Word network transmission instrument 7, cloud server 8, user terminal 9,3G network 10, capacitance type sensor 11, amplification, filtering Circuit 12, A/D modular converters 13, memory module 14, network transmission module 15, mainboard module
Specific embodiment
The present invention is described in further detail with specific embodiment below in conjunction with the accompanying drawings, but the present invention is not limited to These embodiments.
As shown in Figure 1 to Figure 3, a kind of gas pipeline leak detection systems based on sonic method, including user terminal 8, cloud End server 7 and several detection sections set along gas pipeline, each detect low-frequency sound wave there are two being respectively provided at section and sense 4, two pressure sensors 5 of the density sensor of temperature sensor 3, two of device 2, two and two digitlization network transmission instrument 6.
Two low-frequency sound wave sensors 2 in each detection section are separately positioned on two of the gas pipeline in the detection section End, each low-frequency sound wave sensor 2 are used to acquire the low-frequency sound wave signal in the detection section in gas pipeline, and will be collected low Frequency acoustic signals are amplified and are conveyed to the number that same test position is in the low-frequency sound wave sensor 2 after tentatively filtering Change network transmission instrument 6.It is changed as shown in Fig. 2, each low-frequency sound wave sensor 2 selects type polar distance variable capacitance formula sensor 10 to be used as It can element.The main application characteristic of capacitance type sensor 10 is that mechanism is simple, and high sensitivity, dynamic response is good, stability height etc.. Its basic principle is:Metallic membrane is placed in parallel with pole plate, forms plane-parallel capacitor, when the low-frequency acoustic signal effect in medium When metallic membrane, diaphragm can generate small displacement under the action of low frequency signal, and the pole span of plane-parallel capacitor changes Become, capacitance changes;The variation of capacitance is converted into voltage signal by the feedback of measuring circuit, realizes acoustical signal to electricity The conversion of signal.But the signal that measuring circuit receives is usually extremely faint, and with other noises, therefore signal must be through It crosses and amplifies and could be exported after tentatively filtering, it is therefore desirable to have amplification, filter circuit 11.
It is located in the gas pipeline that two temperature sensors 3 in each detection section are arranged in the detection section and respectively The both sides of this section of gas pipeline, each temperature sensor 3 are used to measure the temperature of medium in gas pipeline in the detection section, and will The temperature signal detected is transferred to the digitalized network transmission instrument 6 that same test position is in the temperature sensor 3.
It is located in the gas pipeline that two density sensors 4 in each detection section are arranged in the detection section and respectively The both sides of this section of gas pipeline, each density sensor 4 are used to measure the density of medium in gas pipeline in the detection section, and will The density signal detected is transferred to the digitalized network transmission instrument 6 that same test position is in the density sensor 4.
It is located in the gas pipeline that two pressure sensors 5 in each detection section are arranged in the detection section and respectively The both sides of this section of gas pipeline, each pressure sensor 5 are used to measure the pressure of medium in gas pipeline in the detection section, and will The pressure signal detected is transferred to the digitalized network transmission instrument 6 that same test position is in the pressure sensor 5.
The digitalized network transmission instrument 6, for will be collected into low-frequency sound wave signal, temperature signal, density signal, pressure Force signal is converted to digital signal.Digitalized network transmission instrument 6 realizes the conversion from analog signal to digital signal, while by number According to being saved in local and latest data be transferred to cloud server 7 in time when network is unobstructed.
As shown in figure 3, the digitalized network transmission instrument 6 in the present invention includes mainboard module 15, A/D modular converters 12, deposits Store up module 13 and network transmission module 14, and mainboard module 15 is using embedded system, embedded system is by arm processor, outside A few part compositions such as peripheral equipment, operating system and application software, operating system are used for the hardware of effective control and management instrument And software resource, mainly realize processor management, storage management, equipment management, file management and user interface.It is of the present invention What digitalized network transmission instrument 6 carried is real time operating system, all available resources to be called to complete real-time control task.It is logical The scheduling and control of ARM software and hardware systems are crossed, realizes digitlization network transmission instrument 6 is sampled, is stored, is transmitted, is interrupted, is resetted Control.Digital sound wave signal is timely and accurately sent to cloud server 7 by network transmission module 14, this is that pipe leakage is real-time The important guarantee of property.
Since pipeline distributed areas are extensive, also there is unfrequented wilderness in existing thickly populated city, and this requires pass Defeated mode has very strong environmental suitability, and digitalized network transmission instrument 6 of the present invention uses H330S-Q50-00 type 3G modules, The module can automatically switch suitable frequency range transmitting signal, it is ensured that signal is timely and effective to be sent to cloud server 7.While in order to Enhancing digitalized network transmission instrument 6 is particularly complex network environment the adaptability in the area of no sufficient intensity network coverage, Increase the transmission power of module, be equipped with high-gain aerial.
The cloud server 7, for carrying out signal processing to the digital signal transmitted from digitalized network transmission instrument 6 (mainly including FFT transform and filtering, wherein FFT transform is Fast Fourier Transform (FFT)), and carry out pattern knowledge using FSVM algorithms Not, characteristic quantity (such as sound pressure level, acoustical power of low-frequency sound wave signal when gas pipeline leaks are extracted and analyzed by pattern-recognition Deng), judge whether leakage occurs and determine the size and shape of leakage hole;Wherein, FSVM algorithms are calculated for fuzzy support vector machine Method is a learning model for having supervision, commonly used to carry out pattern-recognition, classification and regression analysis.When simultaneously to leakage The low-frequency sound wave signal that two low-frequency sound wave sensors receive carries out cross-correlation analysis, and combines the velocity of sound in gas pipeline, Positioning is realized to the position for revealing mouth;Final cloud server 7 sends the data handled to user terminal by 3G network 9 8.Specifically, being provided with database in the cloud server 7, several different leakage holes are stored in the database The characteristic quantity of size data and shape data and its corresponding leakage acoustic signals, the characteristic quantity of the leakage acoustic signals are It is obtained according to theory analysis and measuring;When the gas pipeline in actual application leaks, cloud service The characteristic quantity of low-frequency sound wave signal when device extracts leakage by pattern-recognition, and according to the characteristic quantity of this low-frequency sound wave signal It to data existing in database into row interpolation and fitting, and then determines the size and shape of leakage hole, finally artificially measures Go out the actual size and shape of the leakage hole, and the data that the data that the measurement obtains judge with system be compared, The deviation of the two is saved in database;System interplantation has the function of the algorithm of Machine self-learning, can be according to this deviation logarithm It is modified according to the size data and shape data of the characteristic quantity and its corresponding leakage hole that leak acoustic signals in library.When again Secondary when leaking, system will select new interpolation and approximating method according to data new in database, to determine leakage hole Size and shape, artificially measure the actual size and shape of leakage hole at this time, and the data that the measurement is obtained again The data judged with system are compared, and the deviation of the two is saved in database.It is so repeated, so that it may more next More accurately judge the size and shape of leakage hole.
One of low-frequency sound wave sensor in each detection section is elected to be basic point, low-frequency sound wave senses as basic point Device, corresponding another low-frequency sound wave sensor is as non-basic point low-frequency sound wave sensor;Basic point low-frequency sound wave is sensed The time that device receives leakage acoustic signals is set as t0, non-basic point low-frequency sound wave sensor receive leakage acoustic signals when Between be set as t1,
The position of basic point low-frequency sound wave sensor of the leakage mouth 1 in the detection section revealed is true by following formula It is fixed:
Wherein, x is the distance of basic point low-frequency sound wave sensor of the leakage hole 1 in the detection section revealed, and l is every The distance between basic point low-frequency sound wave sensor and non-basic point low-frequency sound wave sensor in a detection section, v are right for cloud server 7 The velocity of sound during gas pipeline leakage that sound velocity data is obtained into row interpolation and after being fitted, △ t are in the detection section revealed Basic point, non-basic point low-frequency sound wave sensor receive gas pipeline leakage when low-frequency sound wave signal time difference;It is described to let out The position of leak 1 finally obtained by the position of the basic point low-frequency sound wave sensor in the detection section revealed and above-mentioned calculating away from It is determined from x;
The velocity of sound v is obtained by following approach:It is also stored in the database and measures in the lab not in advance The data of the velocity of sound c in gas pipeline medium in same Media density, different medium temperature and different gas pipelines under pressure, institute Stating cloud server 7 can be according to the density of the medium in the gas pipeline detected in real time, the temperature of medium and gas pipeline Interior pressure is to the sound velocity data in database into row interpolation and fitting, you can obtains velocity of sound v during gas pipeline leakage;
The time difference △ t are obtained by following approach:Cloud server 7 in the detection section revealed basic point, The low-frequency sound wave signal that non-basic point low-frequency sound wave sensor 2 measures carries out cross-correlation analysis, can obtain the detection revealed Basic point, non-basic point low-frequency sound wave sensor 2 in section receive the time difference of low-frequency sound wave signal when gas pipeline is revealed, and Compare t0And t1Size, work as t0>t1When, the time difference is just;Work as t0<t1When, the time difference is negative;Work as t0=t1When, the time difference is Zero.
The user terminal 8 judges the operation conditions of gas pipeline according to the data that cloud server 7 transmits, If revealing, alarm signal is sent out, and provides the position of gas pipeline leakage hole 1 and the size and shape of leakage hole 1. The user terminal 8 is smart mobile phone, tablet computer or personal computer.User only it is to be understood that the user name of user terminal and The monitoring to conduit running situation can be realized after login system for password, and then realize the more ground of more people in real time to gas pipeline Operation conditions monitoring.
Utilize the original of the gas pipeline leak detection systems detection pipeline operation conditions of the present invention based on sonic method It manages and is:
(1) when gas pipeline normal operation, the output signal of low-frequency sound wave sensor 2 is regarded as in error range Zero.User terminal 8 does not alarm and shows gas pipeline normal operation.
(2) when gas pipeline leaks, leak when the time domain specification of sound pressure level does not leak that there are larger changes Change;The frequency spectrum of the corresponding leakage sound pressure level of different 1 size and shapes of leakage hole is also different.Phase before application, first prior theory On the basis of analysis, to the low-frequency sound wave signal that low-frequency sound wave sensor 2 measures, converted, filtered and handled;And then it obtains The time domain and frequency domain characteristic of sound pressure level can judge whether gas pipeline leaks, root according to the time domain specification of sound pressure level It can judge the size and shape of leakage hole according to the frequency domain characteristic of sound pressure level.Appendix of the present invention based on sonic method The machine learning that road leak detection system has the function of can reduce to be existed between result and practical application due to theory analysis Inaccurate degree is judged 1 size and shape of leakage hole caused by deviation, i.e.,:After generation is leaked, artificially measure The size and shape of leakage hole 1, and the data that the data that the measurement obtains judge with system are compared, by the two Deviation is saved in database;System interplantation has the function of the algorithm of Machine self-learning, can be according to this deviation to being let out in database The size data and shape data of characteristic quantity and its corresponding leakage hole for leaking acoustic signals are modified.
Cross-correlation analysis is carried out to the low-frequency sound wave that two low-frequency sound wave sensors 2 measure, you can obtain 1 both sides of leakage hole Adjacent two low-frequency sound waves sensor 2 receive leakage acoustic signals time difference △ t, in conjunction with two low-frequency sound wave sensors 2 it Between distance l and pipeline medium in the velocity of sound c positioning to leakage hole 1 can be realized.But due to the velocity of sound in pipeline medium It is related with the factors such as the density, the temperature of medium, the pressure of pipeline of pipeline medium, therefore it is not certain value, but with Variation constantly occurs for the variation of gas pipeline operating mode.This just exerts a certain influence to the precision of positioning.This system uses Solution be:A series of sound under different medium density, medium temperature and manifold pressure are first determined in the lab Then speed establishes database in server 7 using these data beyond the clouds, when leaking, system is surveyed automatically according to real-time Pressure in the density of fixed medium, the temperature and pipeline of medium is to the data in database into row interpolation and fitting, you can obtains Velocity of sound v when occurring must be leaked.Again by formula:
Distance of the leakage hole 1 away from the basic point low-frequency sound wave sensor in the detection section revealed can be measured, further according to The installation position of the basic point low-frequency sound wave sensor on gas pipeline can be accurately judged to leakage hole on gas pipeline Specific location.
The part do not addressed in the present invention uses or uses for reference prior art and can be realized.
Specific embodiment described herein is only the spiritual example explanation to the present invention.Belonging to the present invention Those skilled in the art can do described specific embodiment various modifications or additions or using similar Mode substitutes, and however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.

Claims (3)

1. a kind of gas pipeline leak detection systems based on sonic method, which is characterized in that including user terminal, cloud server And several detection sections set along gas pipeline, each detect low-frequency sound wave sensor, two temperature there are two being respectively provided at section Sensor, two density sensors, two pressure sensors and two digitlization network transmission instrument are spent, wherein,
Two low-frequency sound wave sensors in each detection section are separately positioned on the both ends of the gas pipeline in the detection section, each low Frequency sonic sensor is used to acquire the low-frequency sound wave signal in the detection section in gas pipeline, and believing collected low-frequency sound wave into It number is amplified and the digitalized network biography for be in same test position with the low-frequency sound wave sensor is conveyed to after tentatively filtering Defeated instrument;
Two temperature sensors in each detection section are arranged at the gas pipeline in the detection section Nei and are located at the section respectively The both sides of gas pipeline, each temperature sensor are used to measure the temperature of medium in gas pipeline in the detection section, and will detection To temperature signal be transferred to the digitalized network transmission instrument of same test position be in the temperature sensor;
Two density sensors in each detection section are arranged at the gas pipeline in the detection section Nei and are located at the section respectively The both sides of gas pipeline, each density sensor are used to measure the density of medium in gas pipeline in the detection section, and will detection To density signal be transferred to the digitalized network transmission instrument of same test position be in the density sensor;
Two pressure sensors in each detection section are arranged at the gas pipeline in the detection section Nei and are located at the section respectively The both sides of gas pipeline, each pressure sensor are used to measure the pressure of medium in gas pipeline in the detection section, and will detection To pressure signal be transferred to the digitalized network transmission instrument of same test position be in the pressure sensor;
Digitalized network transmission instrument, low-frequency sound wave signal, temperature signal, density signal, pressure signal for will be collected into turn Digital signal is changed to, while stores data into local and latest data is transferred to cloud server in time;
Cloud server for carrying out signal processing to the digital signal transmitted from digitalized network transmission instrument, and utilizes FSVM Algorithm carries out pattern-recognition, and the characteristic quantity of low-frequency sound wave signal when gas pipeline leaks is extracted and analyzed by pattern-recognition, Judge whether leakage occurs and determine the size and shape of leakage hole;Two low-frequency sound wave sensors receive when simultaneously to leakage Low-frequency sound wave signal carry out cross-correlation analysis, and combine gas pipeline in the velocity of sound, to reveal mouth position realize positioning;Most Whole cloud server sends the data handled to user terminal by wireless network;
User terminal judges the operation conditions of gas pipeline according to the data that cloud server transmits, if revealing, Alarm signal is then sent out, and provides the position of gas pipeline leakage hole and the size and shape of leakage hole;
Database is provided in the cloud server, the size data of several different leakage holes is stored in the database With shape data and its characteristic quantity of corresponding leakage acoustic signals, the characteristic quantity of the leakage acoustic signals is according to theory Analysis and measuring are obtained;When the gas pipeline in actual application leaks, cloud server passes through mould The characteristic quantity of low-frequency sound wave signal when formula identification extracts leakage, and according to the characteristic quantity of this low-frequency sound wave signal to database In existing data into row interpolation with fitting, and then determine leakage hole size and shape, finally artificially measure the leakage The actual size and shape of mouth, and the data that the data that the measurement obtains judge with system are compared, by the two Deviation is saved in database;System interplantation has the function of the algorithm of Machine self-learning, can be according to above-mentioned deviation in database The size data and shape data of characteristic quantity and its corresponding leakage hole for leaking acoustic signals are modified;When occurring again During leakage, system will select new interpolation and approximating method according to new data in database, determine leakage hole size and Shape artificially measures the actual size and shape of leakage hole at this time, and the data that the measurement obtains and system is sentenced again Disconnected data out are compared, and the deviation of the two is saved in database;It is so repeated, judges the big of leakage hole Small and shape.
2. a kind of gas pipeline leak detection systems based on sonic method according to claim 1, which is characterized in that
One of low-frequency sound wave sensor in each detection section is elected to be basic point, as basic point low-frequency sound wave sensor, with Corresponding another low-frequency sound wave sensor as non-basic point low-frequency sound wave sensor;Basic point low-frequency sound wave sensor is received Time to leakage acoustic signals is set as t0, non-basic point low-frequency sound wave sensor receive leakage acoustic signals time setting For t1,
The position of the basic point low-frequency sound wave sensor in detection section that the leakage mouth distance is revealed is determined by following formula:
Wherein, x is the distance of the basic point low-frequency sound wave sensor in the detection section that leakage hole distance is revealed, and l is each inspection The basic point low-frequency sound wave sensor in section and the distance between non-basic point low-frequency sound wave sensor are surveyed, v is cloud server to the velocity of sound The velocity of sound during gas pipeline leakage that data are obtained into row interpolation and after being fitted, Δ t is the base in the detection section revealed Point, non-basic point low-frequency sound wave sensor receive the time difference of low-frequency sound wave signal when gas pipeline is revealed;The leakage hole Finally distance x is true obtained by the position of the basic point low-frequency sound wave sensor in the detection section revealed and above-mentioned calculating for position It is fixed;
The velocity of sound v is obtained by following approach:Different Jie measured in the lab in advance are also stored in the database The data of the velocity of sound c in gas pipeline medium in matter density, different medium temperature and different gas pipelines under pressure, the cloud Hold server can be according to the pressure in the density of the medium in the gas pipeline detected in real time, the temperature and gas pipeline of medium Power is to the sound velocity data in database into row interpolation and fitting, you can obtains velocity of sound v during gas pipeline leakage;
The time difference Δ t is obtained by following approach:Cloud server is to basic point, the non-basic point in the detection section revealed The low-frequency sound wave signal that low-frequency sound wave sensor measures carries out cross-correlation analysis, can obtain base in the detection section revealed The time difference of low-frequency sound wave signal during the gas pipeline leakage that point, non-basic point low-frequency sound wave sensor receive, and compare t0 And t1Size, work as t0>t1When, the time difference is just;Work as t0<t1When, the time difference is negative;Work as t0=t1When, the time difference zero.
3. a kind of gas pipeline leak detection systems based on sonic method according to claim 1, which is characterized in that
The user terminal is smart mobile phone, tablet computer or personal computer.
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