CN115388343B - Efficient marine oil and gas pipeline leakage detection and positioning method and system - Google Patents
Efficient marine oil and gas pipeline leakage detection and positioning method and system Download PDFInfo
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- 101000734676 Homo sapiens Inactive tyrosine-protein kinase PEAK1 Proteins 0.000 claims description 45
- 102100034687 Inactive tyrosine-protein kinase PEAK1 Human genes 0.000 claims description 45
- 101000741965 Homo sapiens Inactive tyrosine-protein kinase PRAG1 Proteins 0.000 claims description 39
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- 101150117538 Set2 gene Proteins 0.000 claims description 12
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- 230000004807 localization Effects 0.000 claims description 12
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- ATHVAWFAEPLPPQ-VRDBWYNSSA-N 1-stearoyl-2-oleoyl-sn-glycero-3-phosphocholine Chemical compound CCCCCCCCCCCCCCCCCC(=O)OC[C@H](COP([O-])(=O)OCC[N+](C)(C)C)OC(=O)CCCCCCC\C=C/CCCCCCCC ATHVAWFAEPLPPQ-VRDBWYNSSA-N 0.000 description 2
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- 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
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- 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
-
- 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
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Abstract
The invention discloses a high-efficiency marine oil and gas pipeline leakage detection and positioning method, which comprises the steps of arranging an infrasonic wave sensor at an input end and an output end of a pipeline, obtaining infrasonic wave data, carrying out noise reduction treatment on the infrasonic wave data, obtaining a leakage point according to the infrasonic wave data, positioning the position of the leakage point if the leakage point exists, and outputting the position of the leakage point. The invention effectively determines the leakage point of the marine oil and gas pipeline, has low frequency, long wavelength, high sensitivity and strong anti-interference capability based on infrasonic wave, and improves the leakage detection rate and positioning accuracy.
Description
Technical Field
The invention relates to the technical field of nondestructive testing, in particular to a high-efficiency marine oil and gas pipeline leakage detection and positioning method and system.
Background
Subsea pipelines are an important component of marine oil and gas transportation and storage systems. In severe marine environments, leakage accidents due to pipeline aging, natural corrosion, third party damage, and the like occur. Once the submarine pipeline leaks, the submarine pipeline not only causes direct economic loss, but also seriously pollutes the marine environment, thereby bringing about ecological disasters. Therefore, how to timely identify submarine pipeline leakage and accurately position leakage points is always an important subject faced by the field of marine oil and gas safety engineering.
As the infrasonic wave signal is continuously generated by friction between the medium and the pipe wall when the pipeline breaks and leaks, the detection capability of the infrasonic wave monitoring technology for slow and tiny leakage is higher than that of the negative pressure wave method, and the infrasonic wave monitoring system can collect false alarm characteristic signals caused by the change of most pipeline operation working conditions through data accumulation of a system debugging period, and the signal characteristics of the infrasonic wave are in peak shapes, the positioning of leakage points is easier, and the marine oil and gas pipeline leakage detection and positioning method is further improved. Patent document CN110645484a discloses a system and a method for monitoring a transportation pipeline, which determine the leakage position of the transportation pipeline by presetting time domain and frequency domain conditions, namely, vibration signals meet a first preset condition in the time domain, and judging that the transportation pipeline is leaked when the vibration signals meet a second preset condition in the frequency domain, but do not consider that other factors besides leakage can cause abnormality of the vibration signals, and meanwhile, 2 leakage points possibly occur between sensors to cause abnormal positioning.
Disclosure of Invention
The invention aims to provide a high-efficiency marine oil and gas pipeline leakage detection and positioning method, which solves one or more technical problems in the prior art and at least provides a beneficial selection or creation condition.
In order to achieve the technical purpose, the technical scheme of the invention is as follows:
an efficient marine oil and gas pipeline leak detection and localization method, the method comprising the steps of:
step 1, arranging infrasonic wave sensors at an input end and an output end of a pipeline and obtaining infrasonic wave data;
step 2, noise reduction processing is carried out on the infrasound data, and leakage points are obtained according to the infrasound data;
step 3, if the leakage point exists, positioning the position of the leakage point;
and 4, outputting the positions of the leakage points.
Further, in step 1, the sub-steps of arranging the infrasonic wave sensor at the input end and the output end of the pipeline and obtaining the infrasonic wave data are as follows:
and respectively installing an infrasonic wave sensor at the inlet end and the outlet end of the marine oil and gas pipeline, and respectively acquiring and recording acoustic wave signals by the infrasonic wave sensors to obtain acoustic wave data.
Preferably, the model of the infrasonic wave sensor is CDC-2B, the infrasonic wave sensor can monitor infrasonic wave signals and convert the infrasonic wave signals into electric signals, and the infrasonic wave sensor can detect sound waves with the frequency of 0.01-10 Hz. The CDC-2B type infrasonic wave sensor detects infrasonic waves through amplitude modulation measurement capacitance value change, inputs constant-amplitude high-frequency voltage and outputs corresponding modulation voltage waves.
Further, in step 2, noise reduction is performed on the infrasonic wave data, and the substeps of obtaining the leakage point according to the infrasonic wave data are as follows:
and 2.1, filtering environmental noise in the infrasonic wave signal by adopting an expert database and a wavelet analysis method for infrasonic wave data, and carrying out noise reduction treatment, wherein the infrasonic wave data comprises frequency and intensity.
The infrasonic wave signals obtained in the step 1 need to be filtered and amplified, and signals recorded at the input end and the output end need to be accurately synchronized.
The noise reduction process includes removing clutter in the infrasonic wave using the SOPC method.
Step 2.2, constructing the relation between the amplitude and time of the infrasonic wave; dividing infrasonic wave data by using the moment of starting acquisition as an origin at a time interval t0 to obtain N time intervals; t0 is a time interval, the calculation method is t0=L/V0, V0 is the propagation speed of the infrasonic wave in the pipeline, and L is the distance between 2 infrasonic wave sensors deployed in the oil and gas pipeline; initializing a first Set1 and a second Set2 of empty sets, and initializing a variable n=2; n is in the value range of [2, N-1];
step 2.3, taking the maximum value of the infrasonic wave amplitude collected by the infrasonic wave sensor at the input end in the nth time interval as Pmax, extracting all PEAKs except the maximum PEAK of the amplitude in the current interval as a PEAK set PEAK, if Pmax is more than Pmean+Pmin+P 'min and abs (Pmax-P' max) is less than or equal to P ofs Then the peak of the infrasonic wave amplitude in the current interval is put into the first Set1, and the maximum value of the peak of the infrasonic wave amplitude of the infrasonic wave sensor at the output end in the current time interval is put into the second Set2, pmax is the intensity of the peak with the largest amplitude in the current time interval of the input end, pmean is the average value of the intensities of all the peaks in the current time interval of the input end, pmin is the minimum value of the amplitude in the peak of the infrasonic signal acquired by the output end infrasonic wave sensor in the current time interval, and P ofs For the offset threshold, abs () takes absolute value, exp () is an exponential function based on natural logarithm, P ofs =sqrt (pmax×p' max) ×exp (Pmax/(pmean+pmin)) -Pmean; step 2.4, jumping to the step;
otherwise, directly skipping to the step 2.4;
step 2.4, if N is less than N, increasing the value of N by 1 and restarting step 2.3, otherwise, jumping to step 2.5;
step 2.5, recording the amplitude of the ith PEAK in Set1 as PEAK1 i The jth PEAK in Set2 has an amplitude of PEAK2 j Set1 Set has a size NSet, so that the values of variables i and j are 1; if Set1 or Set2 is an empty Set, the current pipeline has no leakage point, and the step 2 is exited;
if GAP (PEAK 1) i ,PEAK2 j ) The value of (2) is less than or equal to PEAK1 i Or PEAK2 j Skipping to step 2.5.1 at intervals respectively reaching peaks within the closest time interval; otherwise, jumping to the step 2.6; GAP (PEAK 1) i ,PEAK2 j ) Finger acquisition (PEAK 1) i ,PEAK2 j ) The time interval between peaks;
step 2.5.1 if abs (PEAK 1 i -PEAK2 j )/2＞Pmean×GAP(PEAK1 i ,PEAK2 j ) T0 then compares the current (PEAK 1 i ,PEAK2 j ) Is defined as the peak generated by the leakage point; recording the current PEAK1 i ,PEAK2 j The peak corresponding moment of the (2) is taken as a leakage point peak; increasing the values of i and j by 1, and skipping to step 2.7;
step 2.6, respectively using PEAK1 i And PEAK2 j The time interval in which the PEAK of (1) is located is centered, t0 is a range search if there is more than PEAK1 i Or PEAK2 j PEAK of (1) is greater than PEAK1 i Or PEAK2 j PEAK substitution PEAK1 i Or PEAK2 j I.e. if there is a largeIn PEAK1 i The PEAK is greater than PEAK1 i PEAK substitution PEAK1 i If it is greater than PEAK1 j The PEAK is greater than PEAK1 j PEAK substitution PEAK1 j New PEAK1 i And PEAK2 j Inputting the step 2.5.1 and jumping to the step 2.5.1;
increasing the values of i and j by 1, and if i or j is greater than NSet, skipping to step 2.7;
and 2.7, outputting the collection time of the leakage point peaks as a leakage point set, wherein the leakage point set comprises time tuples of a plurality of pairs of peaks.
The infrasonic wave signal in the step 2 eliminates most of clutter after filtering and noise reduction, but still has clutter influence detection to cause false alarm, the real leakage points can be determined through the amplitude value and the time interval of the peak, the leakage points possibly comprise a plurality of leakage points, the step 2 can be paired and output, if the characteristic points are simply identified (namely the prior art), if 2 or more leakage points appear in the same sampling time, the accurate positioning cannot be realized, only the existence of the leakage points can be prompted, and the manual investigation is needed later.
Further, in step 3, if there is a leakage point, the substeps of locating the position of the leakage point are:
the time tuple of the leakage point set comprising a plurality of pairs of peaks is used for calculating the positions of the leakage points by using the following algorithm:
；
wherein L is the distance between 2 infrasonic wave sensors, delta t is the time difference between 2 moments in a pair of moment tuples of peaks, v is the propagation speed of infrasonic waves in a pipeline, and X is the distance between a leakage point and an incoming end infrasonic wave sensor.
The beneficial effects of the step 3 are that: and calculating the position of the leakage point according to the time tuple of the screened peak.
Further, in step 4, the sub-step of outputting the position of the leakage point is:
the location of the leak is pushed to a manager's terminal, which includes one or more of a handheld receiver or a computer terminal of a monitoring center.
Preferably, all undefined variables in the present invention, if not explicitly defined, may be thresholds set manually.
An efficient marine oil and gas pipeline leak detection and localization system, the system comprising:
and a data acquisition module: the system is used for collecting infrasonic wave signals of the marine oil and gas pipeline;
and a data processing module: the method is used for processing infrasonic wave signals of the marine oil and gas pipeline and executing the high-efficiency marine oil and gas pipeline leakage detection and positioning method;
and a result output module: including one or more of a handheld receiver of an administrator or a computer terminal of a monitoring center.
In a third aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the method provided in the first aspect of the present invention.
In a fourth aspect, the present invention provides an electronic device comprising: a memory having a computer program stored thereon; a processor for executing the computer program in the memory to implement the steps of the method provided by the invention.
Compared with the prior art, the invention has the following beneficial technical effects:
the scheme can effectively determine the leakage point of the marine oil and gas pipeline, realizes low frequency, long wavelength, high sensitivity and strong anti-interference capability based on infrasonic wave, and improves the leakage detection rate and positioning accuracy.
Drawings
FIG. 1 is a flow chart of a method for efficient marine oil and gas pipeline leak detection and localization provided by the present invention;
FIG. 2 is a block diagram schematically illustrating a system for efficient marine oil and gas pipeline leak detection and location in accordance with one embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail with reference to the accompanying drawings and examples. The specific embodiments described herein are to be considered in an illustrative sense only and are not intended to limit the invention.
It is also to be understood that the following examples are given solely for the purpose of illustration and are not to be construed as limitations upon the scope of the invention, since numerous insubstantial modifications and variations will now occur to those skilled in the art in light of the foregoing disclosure. The specific process parameters and the like described below are also merely examples of suitable ranges, i.e., one skilled in the art can make a suitable selection from the description herein and are not intended to be limited to the specific values described below.
The following illustrates an exemplary method for efficient marine oil and gas pipeline leak detection and localization provided by the present invention.
Referring to fig. 1, a flowchart of an efficient marine oil and gas pipeline leak detection and localization method according to an embodiment of the present invention is described below with reference to fig. 1, the method comprising the steps of:
step 1, arranging infrasonic wave sensors at an input end and an output end of a pipeline and obtaining infrasonic wave data;
step 2, noise reduction processing is carried out on the infrasound data, and leakage points are obtained according to the infrasound data;
step 3, if the leakage point exists, positioning the position of the leakage point;
and 4, outputting the positions of the leakage points.
Further, in step 1, the sub-steps of arranging the infrasonic wave sensor at the input end and the output end of the pipeline and obtaining the infrasonic wave data are as follows:
and respectively installing an infrasonic wave sensor at the inlet end and the outlet end of the marine oil and gas pipeline, and respectively acquiring and recording acoustic wave signals by the infrasonic wave sensors to obtain acoustic wave data.
Preferably, the model of the infrasonic wave sensor is CDC-2B, the infrasonic wave sensor can monitor infrasonic wave signals and convert the infrasonic wave signals into electric signals, and the infrasonic wave sensor can detect sound waves with the frequency of 0.01-10 Hz. The CDC-2B type infrasonic wave sensor detects infrasonic waves through amplitude modulation measurement capacitance value change, inputs constant-amplitude high-frequency voltage and outputs corresponding modulation voltage waves.
Further, in step 2, noise reduction is performed on the infrasonic wave data, and the substeps of obtaining the leakage point according to the infrasonic wave data are as follows:
and 2.1, filtering environmental noise in the infrasonic wave signal by adopting an expert database and a wavelet analysis method for infrasonic wave data, and carrying out noise reduction treatment, wherein the infrasonic wave data comprises frequency and intensity.
The infrasonic wave signals obtained in the step 1 need to be filtered and amplified, and signals recorded at the input end and the output end need to be accurately synchronized.
The noise reduction process includes removing clutter in the infrasonic wave using the SOPC method.
Step 2.2, constructing the relation between the amplitude and time of the infrasonic wave; dividing infrasonic wave data by using the moment of starting acquisition as an origin at a time interval t0 to obtain N time intervals; t0 is a time interval, the calculation method is t0=L/V0, V0 is the propagation speed of the infrasonic wave in the pipeline, and L is the distance between 2 infrasonic wave sensors deployed in the oil and gas pipeline; initializing a first Set1 and a second Set2 of empty sets, and initializing a variable n=2; n is in the value range of [2, N-1];
step 2.3, taking the maximum value of the infrasonic wave amplitude collected by the infrasonic wave sensor at the input end in the nth time interval as Pmax, extracting all PEAKs except the maximum PEAK of the amplitude in the current interval as a PEAK set PEAK, if Pmax is more than Pmean+Pmin+P 'min and abs (Pmax-P' max) is less than or equal to P ofs Then the peak of the infrasonic wave amplitude in the current interval is put into the first Set1, the maximum value of the peak of the infrasonic wave amplitude of the infrasonic wave sensor at the output end in the current time interval is put into the second Set2, pmax is the intensity of the peak with the maximum amplitude of the input end in the current time interval, pmean is the average value of the intensities of all the peaks of the input end in the current time interval, pmin is the minimum value of the intensities of all the peaks of the input end in the current time interval, and P' min is the infrasonic wave signal acquired by the infrasonic wave sensor at the output end in the current time intervalMinimum value of amplitude in peak, P ofs For the offset threshold, abs () takes absolute value, exp () is an exponential function based on natural logarithm, P ofs =sqrt (pmax×p' max) ×exp (Pmax/(pmean+pmin)) -Pmean; step 2.4, jumping to the step;
otherwise, directly skipping to the step 2.4;
step 2.4, if N is less than N, increasing the value of N by 1 and restarting step 2.3, otherwise, jumping to step 2.5;
step 2.5, recording the amplitude of the ith PEAK in Set1 as PEAK1 i The jth PEAK in Set2 has an amplitude of PEAK2 j Set1 Set has a size NSet, so that the values of variables i and j are 1; if Set1 or Set2 is an empty Set, the current pipeline has no leakage point, and the step 2 is exited;
if GAP (PEAK 1) i ,PEAK2 j ) The value of (2) is less than or equal to PEAK1 i Or PEAK2 j Skipping to step 2.5.1 at intervals respectively reaching peaks within the closest time interval; otherwise, jumping to the step 2.6; GAP (PEAK 1) i ,PEAK2 j ) Finger acquisition (PEAK 1) i ,PEAK2 j ) The time interval between peaks;
step 2.5.1 if abs (PEAK 1 i -PEAK2 j )/2＞Pmean×GAP(PEAK1 i ,PEAK2 j ) T0 then compares the current (PEAK 1 i ,PEAK2 j ) Is defined as the peak generated by the leakage point; recording the current PEAK1 i ,PEAK2 j The peak corresponding moment of the (2) is taken as a leakage point peak; increasing the values of i and j by 1, and skipping to step 2.7;
step 2.6, respectively using PEAK1 i And PEAK2 j The time interval in which the PEAK of (1) is located is centered, t0 is a range search if there is more than PEAK1 i Or PEAK2 j PEAK of (1) is greater than PEAK1 i Or PEAK2 j PEAK substitution PEAK1 i Or PEAK2 j I.e. if present above PEAK1 i The PEAK is greater than PEAK1 i PEAK substitution PEAK1 i If it is greater than PEAK1 j The PEAK is greater than PEAK1 j PEAK substitution PEAK1 j New PEAK1 i And PEAK2 j Inputting the step 2.5.1 and jumping to the step 2.5.1;
increasing the values of i and j by 1, and if i or j is greater than NSet, skipping to step 2.7;
and 2.7, outputting the collection time of the leakage point peaks as a leakage point set, wherein the leakage point set comprises time tuples of a plurality of pairs of peaks.
The infrasonic wave signal in the step 2 eliminates most of clutter after filtering and noise reduction, but still has clutter influence detection to cause false alarm, the real leakage points can be determined through the amplitude value and the time interval of the peak, the leakage points possibly comprise a plurality of leakage points, the step 2 can be paired and output, if the characteristic points are simply identified (namely the prior art), if 2 or more leakage points appear in the same sampling time, the accurate positioning cannot be realized, only the existence of the leakage points can be prompted, and the manual investigation is needed later.
Further, in step 3, if there is a leakage point, the substeps of locating the position of the leakage point are:
the time tuple of the leakage point set comprising a plurality of pairs of peaks is used for calculating the positions of the leakage points by using the following algorithm:
；
wherein L is the distance between 2 infrasonic wave sensors, delta t is the time difference between 2 moments in a pair of moment tuples of peaks, v is the propagation speed of infrasonic waves in a pipeline, and X is the distance between a leakage point and an incoming end infrasonic wave sensor.
The beneficial effects of the step 3 are that: and calculating the position of the leakage point according to the time tuple of the screened peak.
Further, in step 4, the sub-step of outputting the position of the leakage point is:
the location of the leak is pushed to a manager's terminal, which includes one or more of a handheld receiver or a computer terminal of a monitoring center.
Preferably, all undefined variables in the present invention, if not explicitly defined, may be thresholds set manually.
Preferably, all undefined variables in the present invention, if not explicitly defined, may be thresholds set manually.
FIG. 2 is a schematic block diagram of an efficient marine oil and gas pipeline leak detection and location system according to one embodiment of the invention.
An efficient marine oil and gas pipeline leak detection and localization system, the system comprising:
and a data acquisition module: the system is used for collecting infrasonic wave signals of the marine oil and gas pipeline;
and a data processing module: the method is used for processing infrasonic wave signals of the marine oil and gas pipeline and executing the high-efficiency marine oil and gas pipeline leakage detection and positioning method;
and a result output module: including one or more of a handheld receiver of an administrator or a computer terminal of a monitoring center.
The high-efficiency marine oil and gas pipeline leakage detection and positioning system can be operated in computing equipment such as a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The efficient marine oil and gas pipeline leak detection and positioning system may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the example is merely illustrative of an efficient marine oil and gas pipeline leak detection and location system and is not limiting of an efficient marine oil and gas pipeline leak detection and location system, and may include more or fewer components than examples, or may combine certain components, or different components, e.g., the efficient marine oil and gas pipeline leak detection and location system may also include input and output devices, network access devices, buses, etc.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the efficient marine oil and gas pipeline leak detection and positioning system operation system, and various interfaces and lines are utilized to connect various parts of the entire efficient marine oil and gas pipeline leak detection and positioning system operation system.
The memory may be used to store the computer program and/or module, and the processor may implement the various functions of the efficient marine oil and gas pipeline leak detection and localization system by running or executing the computer program and/or module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (e.g., audio data, phonebook, etc.) created according to the use of the handset. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Although the present invention has been described in considerable detail and with particularity with respect to several described embodiments, it is not intended to be limited to any such detail or embodiment or any particular embodiment so as to effectively cover the intended scope of the invention. Furthermore, the foregoing description of the invention has been presented in its embodiments contemplated by the inventors for the purpose of providing a useful description, and for the purposes of providing a non-essential modification of the invention that may not be presently contemplated, may represent an equivalent modification of the invention.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many variations, modifications, substitutions, and alterations are possible in these embodiments without departing from the principles and spirit of the invention.
Claims (6)
1. An efficient marine oil and gas pipeline leak detection and localization method, characterized in that the method comprises the following steps:
step 1, arranging infrasonic wave sensors at an input end and an output end of a pipeline and obtaining infrasonic wave data;
step 2, noise reduction processing is carried out on the infrasound data, and leakage points are obtained according to the infrasound data;
step 3, if the leakage point exists, positioning the position of the leakage point;
step 4, outputting the positions of the leakage points;
in step 1, arranging infrasonic wave sensors at an input end and an output end of a pipeline and obtaining infrasonic wave data comprises the following substeps:
respectively installing an infrasonic wave sensor at the input end and the output end of the marine oil and gas pipeline, respectively acquiring and recording infrasonic wave signals by the infrasonic wave sensors to obtain infrasonic wave data;
in step 2, noise reduction is performed on the infrasonic wave data, and the substeps of obtaining the leakage point according to the infrasonic wave data are as follows:
step 2.1, filtering environmental noise in the infrasonic wave signal by adopting an expert database and a wavelet analysis method for infrasonic wave data, and carrying out noise reduction treatment, wherein the infrasonic wave data comprises frequency and intensity;
step 2.2, constructing the relation between the amplitude and time of the infrasonic wave; dividing infrasonic wave data by using the moment of starting acquisition as an origin at a time interval t0 to obtain N time intervals; t0 is a time interval, the calculation method is t0=L/V0, V0 is the propagation speed of the infrasonic wave in the pipeline, and L is the distance between 2 infrasonic wave sensors deployed in the oil and gas pipeline; initializing a first Set1 and a second Set2 of empty sets, and initializing a variable n=2; n is in the value range of [2, N-1];
step 2.3, taking the maximum value of the infrasonic wave amplitude collected by the infrasonic wave sensor at the input end in the nth time interval as Pmax, extracting all PEAKs except the maximum PEAK of the amplitude in the current interval as a PEAK set PEAK, if Pmax is more than Pmean+Pmin+P 'min and abs (Pmax-P' max) is less than or equal to P ofs Then the peak of the infrasonic wave amplitude in the current interval is put into the first Set1, the maximum value of the peak of the infrasonic wave amplitude of the infrasonic wave sensor at the output end in the current time interval is put into the second Set2, pmax is the intensity of the peak with the maximum amplitude of the input end in the current time interval, pmean is the average value of the intensities of all the peaks of the input end in the current time interval, pmin is the minimum value of the intensities of all the peaks of the input end in the current time interval, P' min is the minimum value of the amplitude of the infrasonic wave signal collected by the infrasonic wave sensor at the output end in the current time interval, P ofs For the offset threshold, abs () takes absolute value, exp () is an exponential function based on natural logarithm, P ofs =sqrt (pmax×p' max) ×exp (Pmax/(pmean+pmin)) -Pmean; step 2.4, jumping to the step;
otherwise, directly skipping to the step 2.4;
step 2.4, if N is less than N, increasing the value of N by 1 and restarting step 2.3, otherwise, jumping to step 2.5;
step 2.5, recording the amplitude of the ith PEAK in Set1 as PEAK1 i The jth PEAK in Set2 has an amplitude of PEAK2 j Set1 Set has a size NSet, so that the values of variables i and j are 1; if Set1 or Set2 is an empty Set, the current pipeline has no leakage point, and the step 2 is exited;
if GAP (PEAK 1) i ,PEAK2 j ) The value of (2) is less than or equal to PEAK1 i Or PEAK2 j The step is skipped at intervals respectively to the peaks within the closest time interval2.5.1; otherwise, jumping to the step 2.6; GAP (PEAK 1) i ,PEAK2 j ) Finger acquisition (PEAK 1) i ,PEAK2 j ) The time interval between peaks;
step 2.5.1 if abs (PEAK 1 i -PEAK2 j )/2＞Pmean×GAP(PEAK1 i ,PEAK2 j ) T0 then compares the current (PEAK 1 i ,PEAK2 j ) Is defined as the peak generated by the leakage point; recording the current PEAK1 i ,PEAK2 j The peak corresponding moment of the (2) is taken as a leakage point peak; increasing the values of i and j by 1, and skipping to step 2.7;
step 2.6, respectively using PEAK1 i And PEAK2 j The time interval in which the PEAK of (1) is located is centered, t0 is a range search if there is more than PEAK1 i Or PEAK2 j PEAK of (1) is greater than PEAK1 i Or PEAK2 j PEAK substitution PEAK1 i Or PEAK2 j I.e. if present above PEAK1 i The PEAK is greater than PEAK1 i PEAK substitution PEAK1 i If it is greater than PEAK1 j The PEAK is greater than PEAK1 j PEAK substitution PEAK1 j New PEAK1 i And PEAK2 j Inputting the step 2.5.1 and jumping to the step 2.5.1;
increasing the values of i and j by 1, and if i or j is greater than NSet, skipping to step 2.7;
and 2.7, outputting the collection time of the leakage point peaks as a leakage point set, wherein the leakage point set comprises time tuples of a plurality of pairs of peaks.
2. The efficient marine oil and gas pipeline leak detection and localization method as claimed in claim 1, wherein in step 3, if there is a leak, the substeps of locating the location of the leak are:
the time tuple of the leakage point set comprising a plurality of pairs of peaks is used for calculating the positions of the leakage points by using the following algorithm:
；
wherein L is the distance between 2 infrasonic wave sensors, delta t is the time difference between 2 moments in a pair of moment tuples of peaks, v is the propagation speed of infrasonic waves in a pipeline, and X is the distance between a leakage point and an incoming end infrasonic wave sensor.
3. The method for efficient marine oil and gas pipeline leak detection and localization as claimed in claim 1, wherein in step 4, the sub-step of outputting the location of the leak is:
the location of the leak is pushed to a manager's terminal, which includes one or more of a handheld receiver or a computer terminal of a monitoring center.
4. An efficient marine oil and gas pipeline leak detection and location system, the system comprising:
and a data acquisition module: the system is used for collecting infrasonic wave signals of the marine oil and gas pipeline;
and a data processing module: the method for processing infrasonic wave signals of marine oil and gas pipelines comprises the steps of executing the high-efficiency marine oil and gas pipeline leakage detection and positioning method according to any one of claims 1-3;
and a result output module: including one or more of a handheld receiver of an administrator or a computer terminal of a monitoring center.
5. A computer readable storage medium having stored thereon a computer program, wherein the program when executed by a processor performs the steps of a method for efficient marine oil and gas pipeline leak detection and localization as claimed in any one of claims 1 to 3.
6. An electronic device, comprising: a memory having a computer program stored thereon; a processor for executing the computer program in the memory to implement the steps of an efficient marine oil and gas pipeline leak detection and localization method as claimed in any one of claims 1 to 3.
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