CN115183162B - Pipeline defect detection method and system combining sound wave and flow balance - Google Patents
Pipeline defect detection method and system combining sound wave and flow balance Download PDFInfo
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- CN115183162B CN115183162B CN202211118141.4A CN202211118141A CN115183162B CN 115183162 B CN115183162 B CN 115183162B CN 202211118141 A CN202211118141 A CN 202211118141A CN 115183162 B CN115183162 B CN 115183162B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
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- 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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- G01M3/26—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors
- G01M3/28—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds
- G01M3/2807—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds for pipes
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Abstract
The invention provides a method and a system for detecting pipeline defects by combining sound waves and flow balance, wherein a plurality of different regulating valves are arranged on a pipeline network formed by mutually communicating a plurality of pipelines, each regulating valve is respectively provided with a flowmeter, a sound wave sensor and a wireless sensor, each regulating valve is respectively used as each node, the pipeline connected among the regulating valves is used as an edge connected among the nodes, the flow value, an infrasonic wave signal and a negative pressure wave signal at the current moment are obtained at each node and are transmitted to a calculator, the flow wave potential of each node is calculated according to the flow value, the infrasonic wave signal and the negative pressure wave signal of each node, the probability of whether each node has the pipeline defects is judged, and the beneficial effect of large-scale pipeline inspection is realized.
Description
Technical Field
The invention belongs to the field of data processing, and particularly relates to a pipeline defect detection method and system combining sound wave and flow balance.
Background
Subsea pipelines are an important component of marine oil and gas transportation and storage systems. In a severe marine environment, leakage accidents due to aging of pipelines, natural corrosion, third party damage, and the like sometimes occur. Once leakage occurs in the submarine pipeline, not only direct economic loss is caused, but also the marine environment is seriously polluted, and ecological disasters are brought. Therefore, how to identify the leakage of the submarine pipeline in time and accurately position the leakage point is always an important subject in the field of ocean oil and gas safety engineering.
There are many methods for pipeline leak detection and location, but not many are suitable for subsea pipelines, and a single detection method has drawbacks and disadvantages. The commonly used method of the current submarine pipeline leakage detection system mainly comprises a negative pressure wave-flow balance method and an infrasonic wave method, and the method principle and the advantages and the disadvantages are as follows:
and (3) negative pressure wave detection method: after the pipeline leaks, instantaneous pressure drop locally occurs at the leaking position due to fluid loss, the instantaneous pressure drop information, namely negative pressure waves propagate to the upstream and the downstream of the pipeline simultaneously along the fluid medium, and the propagation speed reaches the sound velocity level. The sensors are arranged at two ends of the leakage point to collect negative pressure wave signals, and the position of a leakage source can be determined by using a correlation analysis method according to the gradient characteristics of the negative pressure wave information and the time difference of reaching the two sensors. The negative pressure wave detection method has a good effect on detection and positioning of obvious sudden leakage, but is limited by the principle of the method, and has inherent false alarm and failure in reporting. The negative pressure wave method is difficult to accurately distinguish pressure wave signals caused by leakage and working condition disturbance, particularly the pressure fluctuation caused by the operation of pump stations at two ends and the change of working conditions such as starting and stopping of a pipeline, pressure regulation, flow regulation and the like during the operation of the pipeline is mainly interfered, and the false alarm rate of the system is high; meanwhile, the leakage report rate is high under the conditions of slow leakage and small-flow leakage because the leakage report rate is insensitive to small changes of the flow.
Flow balance method: according to the law of conservation of mass, if the pipe does not leak, the mass flow entering the pipe from the inlet should be equal to the mass flow exiting the outlet. When a pipeline leaks, a flow difference value is formed between the inlet and the outlet of the pipeline. When the pipeline runs stably, the flow at the two ends of the pipeline keeps stable; when leakage occurs, the flow rate at the upstream of the pipeline rises, the flow rate at the downstream of the pipeline falls, and the flow difference at the two ends of the pipeline increases; the pressure drop upstream and downstream of the pipe is an important characteristic of pipe leakage. Flow sensors are arranged at two ends of the pipeline to acquire flow information, and whether the pipeline leaks or not can be judged according to the flow difference of an inlet and an outlet. This method can detect minor leaks but cannot locate accurately.
Infrasonic wave detection method: when the pipeline leaks, various signals including infrasonic signals can be generated, and due to the fact that the infrasonic waves are long in wavelength, not easy to absorb water and air and slow in attenuation, the infrasonic waves can propagate to a far place along the fluid medium in the pipeline. The infrasonic wave leakage detection system is based on the basic principle that infrasonic wave sensors are mounted at two ends of a pipeline to detect infrasonic waves generated by leakage, an expert database and a wavelet analysis method are adopted to filter environmental noise, leakage infrasound is extracted, leakage detection alarm of the pipeline is achieved, and leakage points are located through time difference of the leakage infrasound spreading to the two ends. The sensitivity of the infrasonic wave leakage detection system has no direct relation with the leakage amount when the pipeline leaks, but is related with the leakage aperture and the medium pressure, namely, the sound intensity of the infrasonic wave when the pipeline leaks.
The monitoring methods have the advantages and the disadvantages, and the negative pressure wave method is sensitive to sudden leakage and large leakage quantity, is accurate in positioning, and is easily influenced by working condition disturbance. At present, a detection method based on combination of a negative pressure wave and a flow balance method can solve the problem of false alarm under working condition disturbance, but still has the problem of inaccurate positioning of small leakage. The infrasonic wave signal is continuously generated by the friction between a medium and a pipe wall when the pipeline is broken and leaked, the detection capability of the infrasonic wave monitoring technology for slow and tiny leakage is higher than that of a negative pressure wave method, and through data accumulation of a system debugging period, the infrasonic wave monitoring system can collect false alarm characteristic signals caused by most of changes of the operation working condition of the pipeline, and the signal characteristic of the infrasonic wave is in a peak shape, so that the leakage point is easily positioned, but the infrasonic wave method cannot visually observe pipeline operation parameters such as pressure and the like, the operation condition of the pipeline cannot be judged according to the operation parameters, and when the pipeline is alarmed, the reason of the infrasonic wave monitoring technology cannot be intuitively judged.
Disclosure of Invention
The invention aims to provide a pipeline defect detection method and system combining sound wave and flow balance, so as to solve one or more technical problems in the prior art and provide at least one beneficial selection or creation condition.
The invention provides a method and a system for detecting pipeline defects by combining sound wave and flow balance, wherein a plurality of different regulating valves are arranged on a pipeline network formed by mutually communicating a plurality of pipelines, each regulating valve is respectively provided with a flowmeter, a sound wave sensor and a wireless sensor, each regulating valve is respectively used as each node, the pipeline connected among the regulating valves is used as an edge connected among the nodes, each node acquires a flow value at the node through the flowmeter, an infrasonic wave signal and a negative pressure wave signal of the pipeline at the node are acquired through the sound wave sensor, then the wireless sensor transmits the flow value, the infrasonic wave signal and the negative pressure wave signal to a server, the flow value, the infrasonic wave signal and the negative pressure wave signal at the current moment are acquired at each node and are transmitted to a calculator, the flow potential of each node is calculated according to the flow value, the infrasonic wave signal and the negative pressure wave signal of each node, and whether the probability of the pipeline defects exist in each node is judged.
To achieve the above object, according to an aspect of the present invention, there is provided a method for detecting a defect in a pipe by combining sound waves and flow balance, the method comprising the steps of:
s100, installing a plurality of different regulating valves on a pipeline network formed by mutually communicating a plurality of pipelines;
s200, respectively installing a flowmeter, an acoustic wave sensor and a wireless sensor on each regulating valve;
s300, in the pipeline system, each regulating valve is respectively used as each node, and a pipeline connected among the regulating valves is used as an edge connected among the nodes;
s400, acquiring a flow value at each node through a flowmeter, acquiring an infrasonic wave signal and a negative pressure wave signal of a pipeline at each node through an acoustic wave sensor, and transmitting the flow value, the infrasonic wave signal and the negative pressure wave signal to a server through a wireless sensor;
s500, acquiring a flow value, an infrasonic wave signal and a negative pressure wave signal at the current moment at each node and transmitting the flow value, the infrasonic wave signal and the negative pressure wave signal to a server;
s600, in a server, calculating to obtain flow wave potential of each node according to the flow value, the infrasonic wave signal and the negative pressure wave signal of each node;
and S700, judging whether the probability of the pipeline defect exists in each node according to the flow wave potential of each node.
Further, in S100, the pipeline is used for transporting fluid, and the regulating valve is used for regulating the flow rate of the fluid transported in the pipeline.
Further, in S200, the wireless sensor connects the flow meter and the acoustic sensor at each node to each other, the acoustic sensor has functions of acquiring a propagation speed of the negative pressure wave and a propagation speed of the infrasound wave, and acquiring a time difference of receiving the negative pressure wave and a time difference of receiving the infrasound wave between the connected nodes, and data acquired by each node is connected to the server.
Further, in S300, in the pipeline system, a method of using each regulating valve as each node and using a pipeline connected between each regulating valve as an edge connected between each node includes: edges are established among all nodes according to the transmission direction of the pipelines connected among the nodes, and all the nodes are connected into a full-connected graph.
Further, in S400, at the current time, at each node, the flow value at the node is obtained through the flow meter, the infrasonic wave signal and the negative pressure wave signal of the pipeline at the node are obtained through the acoustic wave sensor, and then the method for transmitting the flow value, the infrasonic wave signal and the negative pressure wave signal to the server through the wireless sensor is as follows: and acquiring an infrasonic wave signal and a negative pressure wave signal at the node through the sound wave sensor, wherein the infrasonic wave signal is data comprising a difference value between a propagation velocity value of the infrasonic wave and the time of receiving the infrasonic wave between the connected nodes, and the negative pressure wave signal is data comprising a difference value between a propagation velocity value of the negative pressure wave and the time of receiving the negative pressure wave between the connected nodes.
Further, in S600, in the server, the method for calculating the flow wave potential of each node according to the flow value of each node, the infrasonic wave signal and the negative pressure wave signal includes:
recording the number of all nodes as N, recording a set formed by all nodes as Nset, wherein the serial number of the node is i, i belongs to [1, N ], and the node with the serial number of i is N (i);
firstly, acquiring a connection quantity group among all nodes, wherein the connection quantity group is an N-dimensional vector, the connection quantity group corresponding to a node N (i) is V (i), the serial number of the dimension in the connection quantity group is consistent with the serial number of the node, but in order to avoid confusion, in the calculation process of V (i), i1 is used to be a numerical value representing the serial number of the dimension in the connection quantity group V (i), i1 also belongs to [1, N ],
acquiring the values of the flow value, the infrasonic wave signal and the negative pressure wave signal corresponding to the node N (i), taking the arithmetic mean of the values of the three, if the difference of the values of the three is overlarge, normalizing each value, and recording the arithmetic mean of the values of the flow value, the infrasonic wave signal and the negative pressure wave signal corresponding to the node N (i) as Lia (i);
the value of the dimension with the serial number value of i1 in the connection quantity group V (i) is recorded as V (i, i 1), and the calculation method of V (i, i 1) comprises the following steps: acquiring a node with a sequence number value of i1, recording the node as a node N (i 1), acquiring the number of edges between the node N (i) and the node N (i 1) as edg (i, i 1), if the node N (i) and the node N (i 1) are the same node, making the value of edg (i, i 1) as 1, and then calculating the cross-dimensional graduation in the connection quantity group V (i) as D (i), wherein the calculation formula of D (i) is as follows:
further, calculating a value of V (i, i 1) = exp (edg (i, i 1))/D (i), where exp is an exponential function with a natural constant e as a base, and thus obtaining a value with a dimension number of i1 in the connected quantity group V (i) as V (i, i 1);
further, respectively calculating the connection quantity groups of each node in the Nset, and arranging the connection quantity groups of each node by taking the serial numbers from 1 to N as vectors of N rows, thereby obtaining a matrix with N rows and N columns, and recording the matrix as Dmat, namely, the serial number of the row in the Dmat is consistent with the serial number i of each node in the Nset, the serial number of the column in the Dmat is consistent with the dimension serial number i1 in the connection quantity group V (i), the row with the serial number i in the Dmat is the connection quantity group V (i) corresponding to the node N (i), and the element with the row serial number i and the column serial number i1 in the Dmat is V (i, i 1);
because the negative pressure wave method is sensitive to the sudden leakage and the large leakage amount but is easily influenced by the disturbance of the working condition, and the detection method based on the combination of the negative pressure wave method and the flow balance method can improve the false alarm problem under the disturbance of the working condition but still has the problem of inaccurate positioning of the small leakage, herein, in order to reduce the situation that the detection method is influenced by the disturbance of the working condition and aims at the inaccurate positioning of the small leakage, the calculation of the connection quantity group is beneficial to keeping the sensitivity to the sudden leakage and the large leakage amount and simultaneously ensuring that the detection method is not easily influenced by the disturbance of the working condition through the fluctuation of each dimension value, on the basis, the flow wave potential is calculated in order to further compare the variation trend of each value in a matrix Dmat with each serial number of n x V (i, i1 max) and V (i, i 1) so as to avoid the interference of false alarm characteristic signals caused by the variation of the infrasonic wave, and achieve the beneficial effect of improving the accuracy of the positioning of the small leakage;
the process of calculating the flow wave potential L (i) of the node N (i) specifically includes:
s601, respectively calculating the difference between the numerical values of the maximum numerical element and the minimum numerical element in each row in the matrix Dmat, and taking the difference as the row value of the row;
s602, further selecting the row with the maximum row value from Dmat, and recording the row serial number of the row with the maximum row value as i1max;
s603, acquiring a serial number i of the node N (i), and acquiring an element with a row serial number of the serial number i of the node N (i) in a column with a column serial number of i1max as V (i, i1 max) in Dmat;
s604, calculating the flow wave potential L (i) of the node N (i), wherein the calculation formula of the flow wave potential L (i) is as follows:
thus, the flow wave potential of each node in Nset is calculated.
Further, in S700, the method for determining whether the probability of the pipe defect exists in each node according to the flow wave potential of each node includes:
acquiring the mode of the flow wave potential of each node according to the flow wave potential of each node, acquiring the median of the flow wave potential of each node, calculating the average value of the mode and the median of the flow wave potential of each node as a flow wave potential threshold, and recording the flow wave potential threshold as eta;
if the flow wave potential of a node is larger than eta, the probability that the pipeline defect exists in the node with the flow wave potential larger than eta is not zero, the numerical value of the flow wave potential of the node with the flow wave potential larger than eta is recorded as Er, the probability that the pipeline defect exists in the node with the flow wave potential larger than eta is per, the calculation method of per is per = (Er-eta)/eta, the per is the probability that the pipeline defect exists in the node with the flow wave potential larger than eta, if the probability that the pipeline defect exists in the node exceeds a preset threshold value, the corresponding pipeline is marked to be abnormal, namely leakage occurs, and the corresponding pipeline is maintained.
The invention also provides a pipeline defect detection system combining sound wave and flow balance, which comprises: the processor, the memory and the computer program stored in the memory and capable of running on the processor, the processor implements the steps in the method for detecting the pipe defect of the combined sound wave and flow rate balance when executing the computer program, the system for detecting the pipe defect of the combined sound wave and flow rate balance can run in computing devices such as a desktop computer, a notebook computer, a palm computer and a cloud data center, and the system that can run can include, but is not limited to, the processor, the memory and a server cluster, and the processor executes the computer program to run in units of the following systems:
the node connecting unit is used for installing a plurality of different regulating valves on a pipeline network formed by mutually communicating a plurality of pipelines, installing a flowmeter, an acoustic wave sensor and a wireless sensor on each regulating valve respectively, taking each regulating valve as each node respectively, and taking the pipeline connected among the regulating valves as the edge connected among the nodes;
the data acquisition unit is used for acquiring flow values at nodes through the flowmeters at all the nodes, acquiring infrasonic wave signals and negative pressure wave signals of pipelines at the nodes through the sound wave sensors, and transmitting the flow values, the infrasonic wave signals and the negative pressure wave signals to the server through the wireless sensors;
the numerical value acquisition unit is used for acquiring the flow value, the infrasonic wave signal and the negative pressure wave signal at the current moment at each node and transmitting the flow value, the infrasonic wave signal and the negative pressure wave signal to the server;
the flow wave potential calculating unit is used for calculating and obtaining the flow wave potential of each node in the server according to the flow value, the infrasonic wave signal and the negative pressure wave signal of each node;
and the pipeline defect judging unit is used for judging whether the probability of the pipeline defect exists in each node according to the flow wave potential of each node.
The invention has the beneficial effects that: the invention provides a method and a system for detecting pipeline defects by combining sound waves and flow balance, wherein a plurality of different regulating valves are arranged on a pipeline network formed by mutually communicating a plurality of pipelines, each regulating valve is respectively provided with a flowmeter, a sound wave sensor and a wireless sensor, each regulating valve is respectively used as each node, the pipeline connected among the regulating valves is used as an edge connected among the nodes, the flow value, an infrasonic wave signal and a negative pressure wave signal at the current moment are obtained at each node and are transmitted to a calculator, the flow wave potential of each node is calculated according to the flow value, the infrasonic wave signal and the negative pressure wave signal of each node, the probability of whether each node has the pipeline defects is judged, and the beneficial effect of large-scale pipeline inspection is realized.
Drawings
The above and other features of the present invention will become more apparent by describing in detail embodiments thereof with reference to the attached drawings in which like reference numerals designate the same or similar elements, it being apparent that the drawings in the following description are merely exemplary of the present invention and other drawings can be obtained by those skilled in the art without inventive effort, wherein:
FIG. 1 is a flow chart of a method for detecting defects in a pipe using a combination of acoustic wave and flow balancing;
FIG. 2 is a system block diagram of a combined acoustic wave and flow balancing pipeline defect detection system.
Detailed Description
The conception, the specific structure and the technical effects of the present invention will be clearly and completely described in conjunction with the embodiments and the accompanying drawings to fully understand the objects, the schemes and the effects of the present invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
In the description of the present invention, a plurality of means is one or more, a plurality of means is two or more, and greater than, less than, more than, etc. are understood as excluding the essential numbers, and greater than, less than, etc. are understood as including the essential numbers. If there is a description of first and second for the purpose of distinguishing technical features only, this is not to be understood as indicating or implying a relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of technical features indicated.
Fig. 1 is a flow chart of a method for detecting defects in a pipe with combined sound wave and flow balance according to the present invention, and a method and a system for detecting defects in a pipe with combined sound wave and flow balance according to an embodiment of the present invention are described below with reference to fig. 1.
The invention provides a pipeline defect detection method combining sound wave and flow balance, which specifically comprises the following steps:
s100, installing a plurality of different regulating valves on a pipeline network formed by mutually communicating a plurality of pipelines;
s200, respectively installing a flowmeter, an acoustic wave sensor and a wireless sensor on each regulating valve;
s300, in the pipeline system, each regulating valve is respectively used as each node, and a pipeline connected among the regulating valves is used as an edge connected among the nodes;
s400, acquiring a flow value at each node through a flowmeter, acquiring an infrasonic wave signal and a negative pressure wave signal of a pipeline at each node through an acoustic wave sensor, and transmitting the flow value, the infrasonic wave signal and the negative pressure wave signal to a server through a wireless sensor;
s500, acquiring a flow value, an infrasonic wave signal and a negative pressure wave signal at the current moment at each node and transmitting the flow value, the infrasonic wave signal and the negative pressure wave signal to a server;
s600, in the server, calculating the flow wave potential of each node according to the flow value, the infrasonic wave signal and the negative pressure wave signal of each node;
and S700, judging whether the probability of the pipeline defect exists in each node according to the flow wave potential of each node.
Further, in S100, the pipe is used for transporting a fluid, and the regulating valve is used for regulating a flow rate of the fluid transported in the pipe.
Further, in S200, the wireless sensor connects the flow meter and the acoustic sensor at each node to each other, the acoustic sensor has functions of acquiring a propagation speed of the negative pressure wave and a propagation speed of the infrasound wave, and acquiring a time difference between the negative pressure wave and a time difference between the infrasound wave received at the connected nodes, and data acquired at each node is connected to the server.
Further, in S300, in the pipeline system, the method of using each of the control valves as each node and using the pipeline connected between the control valves as the edge connected between the nodes includes: edges are established among the nodes according to the transmission direction of the pipelines connected among the nodes, and the nodes are connected into a full-connected graph.
Further, in S400, at the current time, at each node, a flow value at the node is obtained through the flowmeter, an infrasonic wave signal and a negative pressure wave signal of the pipeline at the node are obtained through the acoustic wave sensor, and then the flow value, the infrasonic wave signal and the negative pressure wave signal are transmitted to the server through the wireless sensor, which includes the following steps: and acquiring an infrasonic wave signal and a negative pressure wave signal at the node through the sound wave sensor, wherein the infrasonic wave signal is data comprising a difference value between a propagation velocity value of the infrasonic wave and the time of receiving the infrasonic wave between the connected nodes, and the negative pressure wave signal is data comprising a difference value between a propagation velocity value of the negative pressure wave and the time of receiving the negative pressure wave between the connected nodes.
Further, in S600, in the server, the method for calculating the flow wave potential of each node according to the flow value of each node, the infrasonic wave signal and the negative pressure wave signal includes:
recording the number of all nodes as N, recording a set formed by all nodes as Nset, wherein the serial number of the node is i, i belongs to [1, N ], and the node with the serial number of i is N (i);
firstly, acquiring a connection quantity group among nodes, wherein the connection quantity group is an N-dimensional vector, the connection quantity group corresponding to a node N (i) is V (i), the serial number of the dimension in the connection quantity group is consistent with the serial number of the node, but in order to avoid confusion, in the calculation process of V (i), i1 is used to represent the numerical value of the serial number of the dimension in the connection quantity group V (i), and i1 also belongs to [1, N ];
acquiring the numerical values of the flow value, the infrasonic wave signal and the negative pressure wave signal corresponding to the node N (i), taking the arithmetic mean of the numerical values of the three, if the numerical difference of the three is overlarge, respectively carrying out normalization processing on the numerical values of the flow value, the infrasonic wave signal and the negative pressure wave signal corresponding to each node, preferably carrying out normalization mapping on each numerical value to the value of an interval [0, 1] through maximum-minimum standardization, then obtaining the arithmetic mean, and then recording the arithmetic mean of the numerical values of the flow value, the infrasonic wave signal and the negative pressure wave signal corresponding to the node N (i) as Lia (i);
the numerical value of the dimension with the numerical value of i1 in the connection quantity group V (i) is recorded as V (i, i 1), and the calculation method of V (i, i 1) comprises the following steps: acquiring a node with a sequence number value of i1, recording the node as a node N (i 1), acquiring the number of edges between the node N (i) and the node N (i 1) as edg (i, i 1), if the node N (i) and the node N (i 1) are the same node, making the value of edg (i, i 1) as 1, and then calculating the cross-dimensional graduation in the connection quantity group V (i) as D (i), wherein the calculation formula of D (i) is as follows:
further, calculating a value of V (i, i 1) = exp (edg (i, i 1))/D (i), where exp is an exponential function with a natural constant e as a base, and thus obtaining a value with a dimension number of i1 in the connected quantity group V (i) as V (i, i 1);
further, respectively calculating a connection quantity group of each node in the Nset, arranging the connection quantity group of each node by taking serial numbers from 1 to N as vectors of N rows, thereby obtaining a matrix of N rows and N columns, and recording the matrix as Dmat, namely, the serial number of the row in the Dmat is consistent with the serial number i of each node in the Nset, the serial number of the column in the Dmat is consistent with the dimension serial number i1 in the connection quantity group V (i), the row with the serial number i in the Dmat is the connection quantity group V (i) corresponding to the node N (i), and the element with the row serial number i and the column serial number i1 in the Dmat is V (i, i 1);
the process of calculating the flow wave potential L (i) of the node N (i) specifically includes:
s601, respectively calculating the numerical difference between the numerical maximum element and the numerical minimum element in each row in the matrix Dmat, and taking the numerical difference as the row value of the row;
s602, further selecting the row with the maximum row value from Dmat, and recording the row serial number of the row with the maximum row value as i1max;
s603, acquiring a serial number i of the node N (i), and acquiring an element with a row serial number of the serial number i of the node N (i) in a column with a column serial number of i1max as V (i, i1 max) in Dmat;
s604, calculating the flow wave potential L (i) of the node N (i), wherein the calculation formula of the flow wave potential L (i) is as follows:
thus, the flow wave potential of each node in Nset is calculated.
Further, in S700, the method for determining whether there is a probability of a pipe defect at each node according to the flow wave potential of each node includes:
acquiring the mode of the flow wave potential of each node according to the flow wave potential of each node, acquiring the median of the flow wave potential of each node, calculating the average value of the mode and the median of the flow wave potential of each node as a flow wave potential threshold, and recording the flow wave potential threshold as eta;
if the flow wave potential of a node is larger than eta, the probability that the node with the flow wave potential larger than eta has the pipeline defect is not zero, the numerical value of the flow wave potential of the node with the flow wave potential larger than eta is recorded as Er, the probability that the node with the flow wave potential larger than eta has the pipeline defect is per, the calculation method of per is per = (Er-eta)/eta, and the per is the probability that the node with the flow wave potential larger than eta has the pipeline defect.
The system for detecting the defects of the pipeline by combining the sound wave and the flow balance comprises: the processor executes the computer program to implement the steps in the embodiment of the method for detecting pipeline defects by combining sound wave and flow balance, the system for detecting pipeline defects by combining sound wave and flow balance may be run in a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud data center, and the like, and the system that may be run may include, but is not limited to, a processor, a memory, and a server cluster.
As shown in fig. 2, the system for detecting a defect in a pipe with a balanced flow and combined sound wave according to an embodiment of the present invention includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, the processor implementing the steps in an embodiment of a combined acoustic wave and flow balancing pipe defect detection method described above when executing the computer program, the processor executing the computer program to operate in the elements of the following system:
the node connecting unit is used for installing a plurality of different regulating valves on a pipeline network formed by mutually communicating a plurality of pipelines, installing a flowmeter, an acoustic wave sensor and a wireless sensor on each regulating valve respectively, taking each regulating valve as each node respectively, and taking the pipeline connected among the regulating valves as the edge connected among the nodes;
the data acquisition unit is used for acquiring flow values at nodes through the flow meters at the nodes, acquiring infrasonic wave signals and negative pressure wave signals of pipelines at the nodes through the sound wave sensors, and transmitting the flow values, the infrasonic wave signals and the negative pressure wave signals to the server through the wireless sensors;
the numerical value acquisition unit is used for acquiring the flow value, the infrasonic wave signal and the negative pressure wave signal at the current moment at each node and transmitting the flow value, the infrasonic wave signal and the negative pressure wave signal to the server;
the flow wave potential calculating unit is used for calculating and obtaining the flow wave potential of each node in the server according to the flow value, the infrasonic wave signal and the negative pressure wave signal of each node;
and the pipeline defect judging unit is used for judging whether the probability of the pipeline defect exists in each node according to the flow wave potential of each node.
The pipeline defect detection system combining sound wave and flow balance can be operated in computing equipment such as desktop computers, notebook computers, palm computers and cloud data centers. The pipe defect detection system combining sound wave and flow balance comprises, but is not limited to, a processor and a memory. It will be understood by those skilled in the art that the described example is merely illustrative of a combined acoustic wave and flow balanced pipe defect detection method and system, and does not constitute a limitation of a combined acoustic wave and flow balanced pipe defect detection method and system, and may include more or less components than a certain proportion, or some components in combination, or different components, for example, the described combined acoustic wave and flow balanced pipe defect detection system may further include input and output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete component Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor being the control center for the combined acoustic and flow balanced pipeline defect detection system, and various interfaces and lines connecting the various sub-regions of the overall combined acoustic and flow balanced pipeline defect detection system.
The memory may be used to store the computer programs and/or modules, and the processor may implement the various functions of the method and system for detecting pipe defects in combination with acoustic wave and flow balancing by running or executing the computer programs and/or modules 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 required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The invention provides a method and a system for detecting pipeline defects by combining sound waves and flow balance, wherein a plurality of different regulating valves are arranged on a pipeline network formed by mutually communicating a plurality of pipelines, each regulating valve is respectively provided with a flowmeter, a sound wave sensor and a wireless sensor, each regulating valve is respectively used as each node, the pipeline connected among the regulating valves is used as an edge connected among the nodes, the flow value, an infrasonic wave signal and a negative pressure wave signal at the current moment are obtained at each node and are transmitted to a calculator, the flow wave potential of each node is calculated according to the flow value, the infrasonic wave signal and the negative pressure wave signal of each node, the probability of whether each node has the pipeline defects is judged, and the beneficial effect of large-scale pipeline inspection is realized.
Although the description of the present invention has been presented in considerable detail and with reference to a few illustrated embodiments, it is not intended to be limited to any such detail or embodiment or any particular embodiment so as to effectively encompass the intended scope of the invention. Furthermore, the foregoing describes the invention in terms of embodiments foreseen by the inventor for which an enabling description was available, notwithstanding that insubstantial modifications of the invention, not presently foreseen, may nonetheless represent equivalent modifications thereto.
Claims (6)
1. A pipeline defect detection method combining sound waves and flow balance is characterized by comprising the following steps:
s100, installing a plurality of different regulating valves on a pipeline network formed by mutually communicating a plurality of pipelines;
s200, respectively installing a flowmeter, an acoustic wave sensor and a wireless sensor on each regulating valve;
s300, in the pipeline system, each regulating valve is respectively used as each node, and a pipeline connected among the regulating valves is used as an edge connected among the nodes;
s400, acquiring a flow value at each node through a flowmeter, acquiring an infrasonic wave signal and a negative pressure wave signal of a pipeline at each node through an acoustic wave sensor, and transmitting the flow value, the infrasonic wave signal and the negative pressure wave signal to a server through a wireless sensor;
s500, acquiring a flow value, an infrasonic wave signal and a negative pressure wave signal at the current moment at each node and transmitting the flow value, the infrasonic wave signal and the negative pressure wave signal to a server;
s600, in the server, calculating the flow wave potential of each node according to the flow value, the infrasonic wave signal and the negative pressure wave signal of each node;
in S400, at the current time, at each node, a flow value at the node is obtained through the flowmeter, an infrasonic signal and a negative pressure signal of the pipeline at the node are obtained through the sonic sensor, and then the flow value, the infrasonic signal and the negative pressure signal are transmitted to the server through the wireless sensor: acquiring infrasonic wave signals and negative pressure wave signals at nodes through an acoustic wave sensor, wherein the infrasonic wave signals are data comprising a difference value between a propagation velocity value of infrasonic waves and time for receiving the infrasonic waves between the connected nodes, and the negative pressure wave signals are data comprising a difference value between a propagation velocity value of negative pressure waves and time for receiving the negative pressure waves between the connected nodes;
in S600, in the server, the method for calculating the flow wave potential of each node according to the flow value, the infrasonic wave signal, and the negative pressure wave signal of each node is as follows:
recording the number of all nodes as N, recording a set formed by all nodes as Nset, wherein the serial number of the node is i, i belongs to [1, N ], and the node with the serial number of i is N (i);
firstly, acquiring a connection quantity group among nodes, wherein the connection quantity group is an N-dimensional vector, the connection quantity group corresponding to a node N (i) is V (i), the serial number of the dimension in the connection quantity group is consistent with the serial number of the node, but in order to avoid confusion, in the calculation process of V (i), i1 is used to represent the numerical value of the serial number of the dimension in the connection quantity group V (i), and i1 also belongs to [1, N ];
acquiring the numerical values of the flow value, the infrasonic wave signal and the negative pressure wave signal corresponding to the node N (i), and taking the arithmetic mean of the numerical values of the flow value, the infrasonic wave signal and the negative pressure wave signal corresponding to the node N (i), wherein the arithmetic mean of the numerical values of the flow value, the infrasonic wave signal and the negative pressure wave signal corresponding to the node N (i) is recorded as Lia (i);
the value of the dimension with the serial number value of i1 in the connection quantity group V (i) is recorded as V (i, i 1), and the calculation method of V (i, i 1) comprises the following steps: acquiring a node with a sequence number value of i1, recording the node as a node N (i 1), acquiring the number of edges between the node N (i) and the node N (i 1) as edg (i, i 1), if the node N (i) and the node N (i 1) are the same node, setting the value of edg (i, i 1) as 1, calculating a cross-dimension graduation in a connection quantity group V (i) as D (i), and calculating a calculation formula of D (i) as follows:
further, calculating a value of V (i, i 1) = exp (edg (i, i 1))/D (i), where exp is an exponential function with a natural constant e as a base, and thus obtaining a value with a dimension number of i1 in the connected quantity group V (i) as V (i, i 1);
further, respectively calculating a connection quantity group of each node in the Nset, arranging the connection quantity group of each node by taking serial numbers from 1 to N as vectors of N rows, thereby obtaining a matrix of N rows and N columns, and recording the matrix as Dmat, namely, the serial number of the row in the Dmat is consistent with the serial number i of each node in the Nset, the serial number of the column in the Dmat is consistent with the dimension serial number i1 in the connection quantity group V (i), the row with the serial number i in the Dmat is the connection quantity group V (i) corresponding to the node N (i), and the element with the row serial number i and the column serial number i1 in the Dmat is V (i, i 1);
the process of calculating the flow wave potential L (i) of the node N (i) is specifically:
s601, respectively calculating the numerical difference between the numerical maximum element and the numerical minimum element in each row in the matrix Dmat, and taking the numerical difference as the row value of the row;
s602, further selecting the row with the maximum row value from Dmat, and recording the row serial number of the row with the maximum row value as i1max;
s603, acquiring the serial number i of the node N (i), and acquiring an element with the row serial number i of the node N (i) in the Dmat, wherein the row serial number of the element is the serial number i of the node N (i) and the column serial number is i1max, as V (i, i1 max);
s604, calculating the flow wave potential L (i) of the node N (i), wherein the calculation formula of the flow wave potential L (i) is as follows:
thus, the flow wave potential of each node in the Nset is calculated respectively;
the method for detecting the pipeline defects by combining the sound waves and the flow balance further comprises the step S700 of judging whether the probability of the pipeline defects exist in each node or not according to the flow wave potential of each node.
2. The method of claim 1, wherein in step S100, the pipe is used for fluid transportation, and the adjusting valve is used for adjusting the flow rate of the fluid transported in the pipe.
3. The method for detecting defects in pipelines according to claim 1, wherein in S200, the wireless sensor interconnects the flow meter and the acoustic sensor at each node, the acoustic sensor has functions of acquiring the propagation speed of the negative pressure wave and the propagation speed of the infrasonic wave, and acquiring the time difference between the negative pressure wave and the infrasonic wave between the connected nodes, and the data acquired by each node are interconnected to the server.
4. The method for detecting the pipeline defect by combining the sound wave and the flow balance as claimed in claim 1, wherein in S300, in the pipeline system, the adjusting valves are respectively used as nodes, and the pipeline connected between the adjusting valves is used as an edge connected between the nodes, and the method comprises the following steps: edges are established among the nodes according to the transmission direction of the pipelines connected among the nodes, and the nodes are connected into a full-connected graph.
5. The method for detecting the pipeline defects by combining the sound waves and the flow balance as claimed in claim 1, wherein in S700, the method for judging whether the probability of the pipeline defects exist in each node according to the flow wave potential of each node specifically comprises the following steps:
acquiring the mode of the flow wave potential of each node according to the flow wave potential of each node, acquiring the median of the flow wave potential of each node, calculating the average value of the mode and the median of the flow wave potential of each node as a flow wave potential threshold, and recording the flow wave potential threshold as eta;
if the flow wave potential of a node is larger than eta, the probability that the node with the flow wave potential larger than eta has the pipeline defect is not zero, the numerical value of the flow wave potential of the node with the flow wave potential larger than eta is recorded as Er, the probability that the node with the flow wave potential larger than eta has the pipeline defect is per, the calculation method of per is per = (Er-eta)/eta, and the per is the probability that the node with the flow wave potential larger than eta has the pipeline defect.
6. A combined acoustic wave and flow balanced pipe defect detection system, the combined acoustic wave and flow balanced pipe defect detection system comprising: a processor, a memory, and a computer program stored in and executed on the memory, the processor implementing the steps of the method for combined acoustic wave and flow balancing pipe defect detection of any one of claims 1 to 5 when executing the computer program, the system for combined acoustic wave and flow balancing pipe defect detection being implemented in a computing device of a desktop computer, a laptop computer, a palm computer, or a cloud data center.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101270853A (en) * | 2008-05-15 | 2008-09-24 | 中国石油大学(北京) | Gas pipeline leakage remote detection device, method and system based on infrasonic wave |
| CN103234121A (en) * | 2013-05-10 | 2013-08-07 | 中国石油大学(华东) | Acoustic signal based device and method for detecting gas pipeline leakages |
| CN203147291U (en) * | 2013-03-27 | 2013-08-21 | 黄鹏 | System capable of monitoring pipeline leakage by means of infrasonic waves, flow balance and negative pressure waves |
| CN105156905A (en) * | 2015-07-09 | 2015-12-16 | 南京声宏毅霆网络科技有限公司 | Leakage monitoring system, method and device for pipeline and server |
| AU2016100644A4 (en) * | 2013-05-23 | 2016-09-29 | Jiang Zhu | Earthquake prediction and alert system based on underground ultrasound monitoring and analysis |
| CN110274956A (en) * | 2019-07-10 | 2019-09-24 | 广东海洋大学 | A kind of pipe ultrasonic guided wave detecting method based on Kolmogorov entropy |
| CN112525437A (en) * | 2020-11-30 | 2021-03-19 | 中国水利水电科学研究院 | Underwater identification method for leakage noise of large-scale water delivery building |
| CN214008862U (en) * | 2020-10-12 | 2021-08-20 | 成都菁诚创达科技有限公司 | Gas exhaust pipeline leakage detection device |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103939749B (en) * | 2014-04-28 | 2016-08-24 | 东北大学 | Flow circuits based on big data leakage intelligent adaptive monitoring system and method |
| US11668621B2 (en) * | 2020-11-02 | 2023-06-06 | Tata Consultancy Services Limited | Method and system for inspecting and detecting fluid in a pipeline |
-
2022
- 2022-09-15 CN CN202211118141.4A patent/CN115183162B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101270853A (en) * | 2008-05-15 | 2008-09-24 | 中国石油大学(北京) | Gas pipeline leakage remote detection device, method and system based on infrasonic wave |
| CN203147291U (en) * | 2013-03-27 | 2013-08-21 | 黄鹏 | System capable of monitoring pipeline leakage by means of infrasonic waves, flow balance and negative pressure waves |
| CN103234121A (en) * | 2013-05-10 | 2013-08-07 | 中国石油大学(华东) | Acoustic signal based device and method for detecting gas pipeline leakages |
| AU2016100644A4 (en) * | 2013-05-23 | 2016-09-29 | Jiang Zhu | Earthquake prediction and alert system based on underground ultrasound monitoring and analysis |
| CN105156905A (en) * | 2015-07-09 | 2015-12-16 | 南京声宏毅霆网络科技有限公司 | Leakage monitoring system, method and device for pipeline and server |
| CN110274956A (en) * | 2019-07-10 | 2019-09-24 | 广东海洋大学 | A kind of pipe ultrasonic guided wave detecting method based on Kolmogorov entropy |
| CN214008862U (en) * | 2020-10-12 | 2021-08-20 | 成都菁诚创达科技有限公司 | Gas exhaust pipeline leakage detection device |
| CN112525437A (en) * | 2020-11-30 | 2021-03-19 | 中国水利水电科学研究院 | Underwater identification method for leakage noise of large-scale water delivery building |
Non-Patent Citations (2)
| Title |
|---|
| 城市燃气管道泄漏检测预警技术研究;汤舟;《中国优秀硕士学位论文全文数据库（工程科技Ⅱ辑）》;20170115;第19-62页 * |
| 输气管道泄漏检测技术及其发展趋势;闫骁瑾;《石油工业技术监督》;20220131;第42-45页 * |
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