CN115183162A - A pipeline defect detection method and system combining acoustic wave and flow balance - Google Patents

Abstract

The invention provides a pipeline defect detection method and system combining sound wave and flow balance. A plurality of different regulating valves are installed on a pipeline network composed of a plurality of pipelines connected with each other, and each regulating valve is respectively installed with a flow rate Meter, acoustic wave sensor and wireless sensor, take each regulating valve as each node, take the pipeline connected between each regulating valve as the connecting edge between each node, and obtain the current flow value, infrasound wave signal and negative pressure wave signal at each node. And transmit it to the calculator. According to the flow value of each node, the infrasound wave signal and the negative pressure wave signal, the flow wave potential of each node is calculated, and the probability of whether there is a pipeline defect in each node is judged, and the beneficial effect of large-scale pipeline inspection is realized. .

Description

A pipeline defect detection method and system combining acoustic wave and flow balance

technical field

The invention belongs to the field of data processing, and in particular relates to a pipeline defect detection method and system combining acoustic waves and flow balance.

Background technique

Subsea pipelines are an important part of offshore oil and gas transportation and storage systems. In the harsh marine environment, leakage accidents due to pipeline aging, natural corrosion and third-party damage often occur. Once the submarine pipeline leaks, it will not only cause direct economic losses, but also seriously pollute the marine environment and bring ecological disasters. Therefore, how to identify the leakage of submarine pipelines in time and accurately locate the leakage point has always been an important topic in the field of offshore 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 shortcomings and drawbacks. At present, the commonly used methods of submarine pipeline leak detection system mainly include negative pressure wave-flow balance method and infrasound wave method. The principles, advantages and disadvantages of the methods are as follows:

Negative pressure wave detection method: After the pipeline leaks, an instantaneous pressure drop occurs locally at the leak location due to fluid loss. This instantaneous pressure drop information means that the negative pressure wave propagates along the fluid medium to the upstream and downstream of the pipeline at the same time, and the propagation speed reaches the speed of sound. level. Sensors are arranged at both ends of the leak point to collect the negative pressure wave signal. According to the gradient characteristics of the negative pressure wave information and the time difference between the two sensors, the location of the leak source can be determined by the method of correlation analysis. The negative pressure wave detection method has a good effect on the detection and location of obvious sudden leaks, but limited by its principle, there are inherent problems of false positives and false negatives. The negative pressure wave method is difficult to accurately distinguish the pressure wave signal caused by leakage and working condition disturbance, especially during the pipeline operation, the main disturbance comes from the operation of the pumping stations at both ends, the pipeline start-stop pump, pressure regulation, flow regulation and other working conditions change. It is easy to cause high false alarm rate in the system; at the same time, due to insensitivity to small changes in flow, there is also a high false alarm rate in the case of slow leakage and small flow leakage.

Flow balance method: According to the law of conservation of mass, if there is no leakage in the pipeline, then the mass flow into the pipeline from the inlet should be equal to the mass flow out from the outlet. When the pipeline leaks, the flow difference between the inlet and the outlet of the pipeline will be formed. When the pipeline runs smoothly, the flow at both ends of the pipeline remains stable; when a leak occurs, the flow in the upstream of the pipeline increases, the flow in the downstream decreases, and the flow difference between the two ends of the pipeline increases; the pressure drop in the upstream and downstream of the pipeline is an important feature of pipeline leakage . Arrange flow sensors at both ends of the pipeline to collect flow information, and determine whether the pipeline leaks according to the flow difference between the inlet and outlet. This method can detect small leaks but cannot locate them accurately.

Infrasound detection method: When a pipeline leaks, a variety of signals including infrasound signals will be generated. Due to the long wavelength of infrasound waves, it is not easily absorbed by water and air, and the attenuation is slow. It will propagate along the fluid medium in the pipeline to a long distance. The place. The basic principle of the infrasound leak detection system is to install infrasound sensors at both ends of the pipeline to detect the infrasound generated by the leak, and use the expert database and wavelet analysis method to filter the environmental noise, extract the leak infrasound, and realize the leak detection and alarm of the pipeline. The time difference propagated to both ends enables the location of the leak point. The sensitivity of the infrasonic leak detection system is not directly related to the leakage amount when the pipeline leaks, but is related to the leak diameter and the medium pressure, that is, the sound intensity of the sound wave when the pipeline leaks.

The above monitoring methods have their own advantages and disadvantages. The negative pressure wave method is sensitive to sudden leakage and large leakage, and its positioning is more accurate, but it is easily affected by the disturbance of working conditions. At present, the detection method based on the combination of negative pressure wave and flow balance method can improve the problem of false alarms under the disturbance of working conditions, but there is still the problem of inaccurate location of small leaks. Since the friction between the medium and the pipe wall will continue to generate infrasound signals when the pipeline ruptures and leaks, the infrasound monitoring technology is more capable of detecting slow and small leaks than the negative pressure wave method. Most of the false alarm characteristic signals caused by changes in pipeline operating conditions, and the signal characteristics of infrasound waves are in the shape of spikes, so it is easier to locate the leak point. The operating parameters can judge the pipeline operation status. When an alarm occurs, it is not possible to intuitively judge the cause of the alarm.

SUMMARY OF THE INVENTION

The purpose of the present invention is to propose a pipeline defect detection method and system combining acoustic wave and flow balance, so as to solve one or more technical problems existing in the prior art, and at least provide a beneficial option or create conditions.

The invention provides a pipeline defect detection method and system combining acoustic wave and flow balance. A plurality of different regulating valves are installed on a pipeline network formed by interconnecting a plurality of pipelines, and each regulating valve is respectively installed with a flow rate control valve. Meter, acoustic wave sensor and wireless sensor, each regulating valve is used as each node, the pipeline connected between each regulating valve is used as the edge connecting each node, and the flow value at each node is obtained through the flowmeter at each node, and the sonic sensor is used to obtain the flow value at the node. The infrasound wave signal and negative pressure wave signal of the pipeline at the node, and then transmit the flow value, infrasound wave signal and negative pressure wave signal to the server by wireless sensor, and obtain the current flow value, infrasound wave signal and negative pressure wave signal at each node and combine them. It is transmitted to the calculator, and the flow wave potential of each node is calculated according to the flow value of each node, the infrasound wave signal and the negative pressure wave signal, and the probability of whether there is a pipeline defect at each node is judged.

In order to achieve the above object, according to an aspect of the present invention, a method for detecting pipeline defects combining acoustic waves and flow balance is provided, the method comprising the following steps:

S100, install multiple different regulating valves on the pipeline network composed of multiple pipelines connected to each other;

S200, a flow meter, a sound wave sensor and a wireless sensor are respectively installed on each regulating valve;

S300, in the pipeline system, each regulating valve is used as each node, and the pipeline connected between each regulating valve is used as the edge connecting each node;

S400, at each node, obtain the flow value at the node through the flowmeter, obtain the infrasound signal and negative pressure wave signal of the pipeline at the node through the acoustic wave sensor, and then transmit the flow value, the infrasound signal and the negative pressure wave signal to the server through the wireless sensor middle;

S500, obtain the current flow value, infrasound wave signal and negative pressure wave signal at each node and transmit them to the server;

S600, in the server, according to the flow value of each node, the infrasound wave signal and the negative pressure wave signal, calculate the flow wave potential of each node;

S700, according to the flow wave potential of each node, determine the probability of whether each node has a pipeline defect.

Further, in S100, the pipeline is used for fluid transmission, and the regulating valve is used to adjust the flow rate of the fluid transmitted in the pipeline.

Further, in S200, the wireless sensor connects the flow meter and the acoustic wave sensor at each node with each other, and the acoustic wave sensor has the ability to obtain the propagation speed of the negative pressure wave and the propagation speed of the infrasound wave, and obtain the communication speed between the connected nodes. The function of the time difference of receiving the negative pressure wave and the time difference of receiving the infrasound wave, the data obtained by each node is connected to the server.

Further, in S300, in the pipeline system, each control valve is used as each node, and the pipeline connected between each control valve is used as the edge connected between each node. The transmission direction establishes edges to connect each node into a fully connected graph.

Further, in S400, at the current moment, at each node, the flow value at the node is obtained through the flowmeter, 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 flow value and the negative pressure wave signal are obtained by using the wireless sensor. The method for transmitting the infrasound wave signal and the negative pressure wave signal to the server is: obtaining the infrasonic wave signal and the negative pressure wave signal at the node through the acoustic wave sensor, wherein the infrasound wave signal includes the propagation velocity value of the infrasound wave and the reception between the connected nodes. The data of the time difference to the infrasound wave, and the negative pressure wave signal is data including the difference between the propagation velocity value of the negative pressure wave and the time difference between the connected nodes when the negative pressure wave is received.

Further, in S600, in the server, according to the flow value of each node, the infrasound wave signal and the negative pressure wave signal, the method for calculating the flow wave potential of each node is:

Denote the number of all nodes as n, and denote the set composed of all nodes as Nset, where the sequence number of the node is i, i∈[1,n], and the node with sequence number i is N(i);

First, obtain the connection group between each node, the connection group is an n-dimensional vector, the connection group corresponding to node N(i) is V(i), and the serial number of the dimension in the connection group corresponds to 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 group V(i), i1 also belongs to [1,n],

Obtain the values of the flow value, infrasound wave signal and negative pressure wave signal corresponding to the node N(i), and take the arithmetic mean of the three values. Unification processing, denote the arithmetic mean of the flow value, infrasound wave signal and negative pressure wave signal corresponding to node N(i) as Lia(i);

The value of the dimension with the serial number value i1 in the connection quantity group V(i) is denoted as V(i, i1), and the calculation method of the V(i, i1) is: obtain the node with the serial number value i1 and record it as a node N(i1), the number of edges between the node N(i) and the node N(i1) is obtained as edg(i, i1). If the node N(i) and the node N(i1) ) is the same node, then set the value of edg(i,i1) to 1, and then calculate the cross-dimensional division in the connection group V(i) as D(i). The calculation formula of D(i) is:

，

,

Then calculate the value of V(i,i1) as V(i,i1)= exp(edg(i,i1))/D(i), exp is the exponential function calculated with the natural constant e as the base, thus obtaining the connection The value of the dimension number i1 in the quantity group V(i) is V(i, i1);

Further, calculate the connection quantity groups of each node in Nset respectively, and arrange the connection quantity groups of each node according to the serial number from 1 to n as a vector of n rows, thereby obtaining a matrix of n rows and n columns, and denote the matrix as Dmat , that is, the serial number of the row in Dmat is consistent with the serial number i of each node in Nset, the serial number of the column in Dmat is consistent with the serial number i1 of the dimension in the connection group V(i), and the row with the serial number i in Dmat is the node N ( i) The corresponding connection quantity group V(i), the element whose row number is i and the column number is i1 in Dmat is V(i, i1);

Because the negative pressure wave method is sensitive to sudden leakage and large leakage, but is easily affected by the disturbance of the working conditions, the detection method based on the combination of the negative pressure wave and the flow balance method can improve the problem of false alarms under the disturbance of the working condition, but still There is a problem of inaccurate positioning of small leaks. In this case, in order to reduce the influence of working condition disturbances and the inaccurate positioning of small leaks, the calculation of the connection group is beneficial to maintain the sensitivity to sudden leaks and large leaks. At the same time, through the fluctuation of the values of each dimension, it is not easily affected by the disturbance of the working conditions. On this basis, the calculation of the flow wave potential is to further analyze the change trend of each value in the matrix Dmat, and then to n*V(i, i1max) and V(i, i1) are compared on each serial number, avoiding the interference of false alarm characteristic signals caused by infrasound wave changes, and achieving the beneficial effect of improving the accuracy of small leak location;

The process of calculating the flow wave potential L(i) of the node N(i) is as follows:

S601, calculate the difference between the numerical value of the maximum element and the numerical minimum element in each column in the matrix Dmat respectively, and use the difference of the numerical value as the column value of the column where it is located;

S602, and then select the column with the largest column value in Dmat, and denote the column serial number of the column with the largest column value as i1max;

S603, obtain the serial number i of the node N(i), and obtain the element whose row serial number is the serial number i of the node N(i) in the column with the column serial number i1max in Dmat as V(i, i1max);

S604, calculate the flow wave potential L(i) of the node N(i), and the calculation formula of the flow wave potential L(i) is:

；

;

Thus, the flow wave potential of each node in Nset is calculated separately.

Further, in S700, according to the flow wave potential of each node, the method for judging whether each node has the probability of a pipeline defect is:

According to the flow wave potential of each node, obtain the mode of the flow wave potential of each node, obtain the median of the flow wave potential of each node, and calculate the average value of the mode and median of the flow wave potential of each node as the flow Wave potential threshold, record the current wave potential threshold as η;

If there is a node with a flow potential greater than η, the probability of pipeline defects at the node where the flow potential is greater than η is not zero, and the value of the flow potential at the node where the flow potential is greater than η is denoted as Er. The probability of the existence of pipeline defects in the nodes with the flow potential greater than η is per, and the calculation method of per is per=(Er-η)/η, and the per is the existence of pipeline defects at the nodes with the flow potential greater than η. If the probability of the existence of pipeline defects at the node exceeds the preset threshold, the corresponding pipeline will be marked as abnormal, that is, leakage has occurred, and the corresponding pipeline will be repaired.

The present invention also provides a combined acoustic wave and flow balance pipeline defect detection system, the combined acoustic wave and flow balance pipeline defect detection system includes: a processor, a memory, and a system stored in the memory and available in the A computer program running on a processor, when the processor executes the computer program, the processor implements the steps in the method for detecting a pipeline defect with a combined sound wave and flow balance, and the pipeline defect detection method based on a combined sound wave and flow balance The system can run in computing devices such as desktop computers, notebook computers, PDAs, and cloud data centers. The runnable systems can include, but are not limited to, processors, memories, and server clusters. The processors execute the computers. Programs run in units of the following systems:

The node connection unit is used to install multiple different regulating valves on the pipeline network composed of multiple pipelines connected with each other, and install flow meters, acoustic wave sensors and wireless sensors on each regulating valve, and then connect each regulating valve to each regulating valve. As each node respectively, and the pipeline connected between each regulating valve is used as the edge connecting each node;

The data acquisition unit is used to obtain the flow value at the node through the flow meter at each node, obtain the infrasound wave signal and negative pressure wave signal of the pipeline at the node through the acoustic wave sensor, and then use the wireless sensor to convert the flow value, the infrasound wave signal and the negative pressure wave signal. transmitted to the server;

The numerical value acquisition unit is used to acquire the current flow value, infrasound wave signal and negative pressure wave signal at each node and transmit them to the server;

The flow wave potential calculation unit is used to calculate the flow wave potential of each node in the server according to the flow value of each node, the infrasonic wave signal and the negative pressure wave signal;

The pipeline defect judgment unit is used for judging the probability of whether each node has a pipeline defect according to the flow wave potential of each node.

The beneficial effects of the present invention are as follows: the present invention provides a pipeline defect detection method and system combining acoustic waves and flow balance. A flow meter, a sound wave sensor and a wireless sensor are installed on the regulating valve. Each regulating valve is used as each node, and the pipeline connected between each regulating valve is used as the edge connecting each node, and the current flow value and the current moment are obtained at each node. The infrasound wave signal and negative pressure wave signal are transmitted to the calculator. According to the flow value of each node, the infrasound wave signal and the negative pressure wave signal, the flow wave potential of each node is calculated, and the probability of whether there is a pipeline defect in each node is judged. The beneficial effects of large-scale investigation of pipelines.

Description of drawings

The above and other features of the present invention will become more apparent from the detailed description of the embodiments shown in conjunction with the accompanying drawings, in which the same reference numerals denote the same or similar elements of the present invention. The drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative work. In the drawings:

Figure 1 shows a flow chart of a pipeline defect detection method combining acoustic waves and flow balance;

Figure 2 shows a system structure diagram of a combined acoustic wave and flow balance pipeline defect detection system.

Detailed ways

The concept, specific structure and technical effects of the present invention will be clearly and completely described below in conjunction with the embodiments and the accompanying drawings, so as to fully understand the purpose, solutions and effects of the present invention. It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict.

In the description of the present invention, the meaning of several is one or more, the meaning of multiple is two or more, greater than, less than, exceeding, etc. are understood as not including this number, above, below, within, etc. are understood as including this number. If it is described that the first and the second are only for the purpose of distinguishing technical features, it cannot be understood as indicating or implying relative importance, or indicating the number of the indicated technical features or the order of the indicated technical features. relation.

FIG. 1 is a flow chart of a method for detecting a pipeline defect of a combined acoustic wave and flow balance according to the present invention. The following describes a combined acoustic wave and flow balance pipeline defect detection method according to an embodiment of the present invention in conjunction with FIG. 1 . method and system.

The present invention provides a pipeline defect detection method combining acoustic wave and flow balance, and the method specifically includes the following steps:

S100, install multiple different regulating valves on the pipeline network composed of multiple pipelines connected to each other;

S200, a flow meter, a sound wave sensor and a wireless sensor are respectively installed on each regulating valve;

S300, in the pipeline system, each regulating valve is used as each node, and the pipeline connected between each regulating valve is used as the edge connecting each node;

S400, at each node, obtain the flow value at the node through the flowmeter, obtain the infrasound signal and negative pressure wave signal of the pipeline at the node through the acoustic wave sensor, and then transmit the flow value, the infrasound signal and the negative pressure wave signal to the server through the wireless sensor middle;

S500, obtain the current flow value, infrasound wave signal and negative pressure wave signal at each node and transmit them to the server;

S600, in the server, according to the flow value of each node, the infrasound wave signal and the negative pressure wave signal, calculate the flow wave potential of each node;

S700, according to the flow wave potential of each node, determine the probability of whether each node has a pipeline defect.

Further, in S100, the pipeline is used for fluid transmission, and the regulating valve is used to adjust the flow rate of the fluid transmitted in the pipeline.

Further, in S200, the wireless sensor connects the flow meter and the acoustic wave sensor at each node with each other, and the acoustic wave sensor has the ability to obtain the propagation speed of the negative pressure wave and the propagation speed of the infrasound wave, and obtain the communication speed between the connected nodes. The function of the time difference of receiving the negative pressure wave and the time difference of receiving the infrasound wave, the data obtained by each node is connected to the server.

Further, in S300, in the pipeline system, each control valve is used as each node, and the pipeline connected between each control valve is used as the edge connected between each node. The transmission direction establishes edges to connect each node into a fully connected graph.

Further, in S400, at the current moment, at each node, the flow value at the node is obtained through the flowmeter, 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 flow value and the negative pressure wave signal are obtained by using the wireless sensor. The method for transmitting the infrasound wave signal and the negative pressure wave signal to the server is: obtaining the infrasonic wave signal and the negative pressure wave signal at the node through the acoustic wave sensor, wherein the infrasound wave signal includes the propagation velocity value of the infrasound wave and the reception between the connected nodes. The data of the time difference to the infrasound wave, and the negative pressure wave signal is data including the difference between the propagation velocity value of the negative pressure wave and the time difference between the connected nodes when the negative pressure wave is received.

Further, in S600, in the server, according to the flow value of each node, the infrasound wave signal and the negative pressure wave signal, the method for calculating the flow wave potential of each node is:

Denote the number of all nodes as n, and denote the set composed of all nodes as Nset, where the sequence number of the node is i, i∈[1,n], and the node with sequence number i is N(i);

First, obtain the connection group between each node, the connection group is an n-dimensional vector, the connection group corresponding to node N(i) is V(i), and the serial number of the dimension in the connection group corresponds to 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 group V(i), and i1 also belongs to [1,n];

Obtain the values of flow value, infrasound wave signal and negative pressure wave signal corresponding to node N(i), and take the arithmetic mean of the three values. , the values of the infrasound wave signal and the negative pressure wave signal are respectively normalized, preferably through the maximum-minimum normalization, the values of which are normalized and mapped to the value of the interval [0, 1] and then the arithmetic mean is obtained, and then , denote the arithmetic mean of the flow value, infrasound wave signal and negative pressure wave signal corresponding to node N(i) as Lia(i);

The value of the dimension with the serial number value i1 in the connection quantity group V(i) is denoted as V(i, i1), and the calculation method of the V(i, i1) is: obtain the node with the serial number value i1 and record it as a node N(i1), the number of edges between the node N(i) and the node N(i1) is obtained as edg(i, i1). If the node N(i) and the node N(i1) ) is the same node, then set the value of edg(i,i1) to 1, and then calculate the cross-dimensional division in the connection group V(i) as D(i). The calculation formula of D(i) is:

，

,

Then calculate the value of V(i,i1) as V(i,i1)= exp(edg(i,i1))/D(i), exp is the exponential function calculated with the natural constant e as the base, thus obtaining the connection The value of the dimension number i1 in the quantity group V(i) is V(i, i1);

Further, calculate the connection quantity groups of each node in Nset respectively, and arrange the connection quantity groups of each node according to the serial number from 1 to n as a vector of n rows, thereby obtaining a matrix of n rows and n columns, and denote the matrix as Dmat , that is, the serial number of the row in Dmat is consistent with the serial number i of each node in Nset, the serial number of the column in Dmat is consistent with the serial number i1 of the dimension in the connection group V(i), and the row with the serial number i in Dmat is the node N ( i) The corresponding connection quantity group V(i), the element whose row number is i and the column number is i1 in Dmat is V(i, i1);

The process of calculating the flow wave potential L(i) of the node N(i) is as follows:

S601, calculate the difference between the numerical value of the maximum element and the numerical minimum element in each column in the matrix Dmat respectively, and use the difference of the numerical value as the column value of the column where it is located;

S602, and then select the column with the largest column value in Dmat, and denote the column serial number of the column with the largest column value as i1max;

S603, obtain the serial number i of the node N(i), and obtain the element whose row serial number is the serial number i of the node N(i) in the column with the column serial number i1max in Dmat as V(i, i1max);

S604, calculate the flow wave potential L(i) of the node N(i), and the calculation formula of the flow wave potential L(i) is:

；

;

Thus, the flow wave potential of each node in Nset is calculated separately.

Further, in S700, according to the flow wave potential of each node, the method for judging whether each node has the probability of a pipeline defect is:

According to the flow wave potential of each node, obtain the mode of the flow wave potential of each node, obtain the median of the flow wave potential of each node, and calculate the average value of the mode and median of the flow wave potential of each node as the flow Wave potential threshold, record the current wave potential threshold as η;

If there is a node with a flow potential greater than η, the probability of pipeline defects at the node where the flow potential is greater than η is not zero, and the value of the flow potential at the node where the flow potential is greater than η is denoted as Er. The probability of the existence of pipeline defects in the nodes with the flow potential greater than η is per, and the calculation method of per is per=(Er-η)/η, and the per is the existence of pipeline defects at the nodes with the flow potential greater than η. The probability.

The system for detecting pipeline defects with combined sound wave and flow balance includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, when the processor executes the computer program Implement the steps in the embodiment of the above-mentioned method for detecting a pipeline defect with a combined sound wave and flow balance, and the pipeline defect detection system with a combined sound wave and flow balance can be run on a desktop computer, a notebook computer, a PDA and cloud data. In a computing device such as a center, the executable system may include, but is not limited to, a processor, a memory, and a server cluster.

An embodiment of the present invention provides a combined acoustic wave and flow balance pipeline defect detection system, as shown in FIG. 2 , a combined acoustic wave and flow balance pipeline defect detection system of this embodiment includes: a processor, a memory, and a storage A computer program in the memory and executable on the processor, when the processor executes the computer program, the processor implements the steps in the above-mentioned embodiment of the pipeline defect detection method combined with acoustic waves and flow balance, the The processor executes the computer program running in the following system units:

The node connection unit is used to install multiple different regulating valves on the pipeline network composed of multiple pipelines connected with each other, and install flow meters, acoustic wave sensors and wireless sensors on each regulating valve, and then connect each regulating valve to each regulating valve. As each node respectively, and the pipeline connected between each regulating valve is used as the edge connecting each node;

The data acquisition unit is used to obtain the flow value at the node through the flow meter at each node, obtain the infrasound wave signal and negative pressure wave signal of the pipeline at the node through the acoustic wave sensor, and then use the wireless sensor to convert the flow value, the infrasound wave signal and the negative pressure wave signal. transmitted to the server;

The numerical value acquisition unit is used to acquire the current flow value, infrasound wave signal and negative pressure wave signal at each node and transmit them to the server;

The flow wave potential calculation unit is used to calculate the flow wave potential of each node in the server according to the flow value of each node, the infrasonic wave signal and the negative pressure wave signal;

The pipeline defect judgment unit is used for judging the probability of whether each node has a pipeline defect according to the flow wave potential of each node.

The pipeline defect detection system combining acoustic waves and flow balance can be run in computing devices such as desktop computers, notebook computers, palm computers, and cloud data centers. The combined acoustic wave and flow balance pipeline defect detection system includes, but is not limited to, a processor and a memory. Those skilled in the art can understand that the example is only an example of a pipeline defect detection method and system that combines acoustic waves and flow balance, and does not constitute a limitation to a pipeline defect detection method and system that combines acoustic waves and flow balance. It can include more or less components, or combine some components, or different components, for example, the pipeline defect detection system with combined acoustic wave and flow balance can also include input and output devices, network access devices, bus etc.

The processor may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processors, digital signal processors (Digital Signal Processors, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete component gate circuits or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc., the processor is the control center of the pipeline defect detection system of the combined acoustic wave and flow balance, using various interfaces and Lines connect various sub-regions throughout a combined sonic and flow-balanced pipeline defect detection system.

The memory can be used to store the computer program and/or module, and the processor implements the one by running or executing the computer program and/or module stored in the memory and calling the data stored in the memory. A combined acoustic wave and flow balance pipeline defect detection method and various functions of the system. The memory may mainly include a stored program area and a stored data area, wherein the stored program area may store an operating system, an application program required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the storage data area may store Data created according to the usage of the mobile phone (such as audio data, phone book, etc.), etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory such as hard disk, internal memory, plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card , a flash card (Flash Card), at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.

The invention provides a pipeline defect detection method and system combining acoustic wave and flow balance. A plurality of different regulating valves are installed on a pipeline network formed by interconnecting a plurality of pipelines, and each regulating valve is respectively installed with a flow rate control valve. Meter, acoustic wave sensor and wireless sensor, take each regulating valve as each node, take the pipeline connected between each regulating valve as the connecting edge between each node, and obtain the current flow value, infrasound wave signal and negative pressure wave signal at each node. And transmit it to the calculator. According to the flow value of each node, the infrasound wave signal and the negative pressure wave signal, the flow wave potential of each node is calculated, and the probability of whether there is a pipeline defect in each node is judged, and the beneficial effect of large-scale pipeline inspection is realized. .

Although the present invention has been described in considerable detail and with particular reference to a few of the described embodiments, it is not intended to be limited to any of these details or embodiments or any particular embodiment so as to effectively encompass the intended scope of the invention. Furthermore, the foregoing description of the invention in terms of embodiments foreseen by the inventors is intended to provide a useful description, while insubstantial modifications of the invention not presently foreseen may still represent equivalent modifications of the invention.

Claims (6)

1. a pipeline defect detection method of joint sound wave and flow balance, is characterized in that, described method comprises the following steps: S100, install multiple different regulating valves on the pipeline network composed of multiple pipelines connected to each other; S200, a flow meter, a sound wave sensor and a wireless sensor are respectively installed on each regulating valve; S300, in the pipeline system, each regulating valve is used as each node, and the pipeline connected between each regulating valve is used as the edge connecting each node; S400, at each node, obtain the flow value at the node through the flowmeter, obtain the infrasound signal and negative pressure wave signal of the pipeline at the node through the acoustic wave sensor, and then transmit the flow value, the infrasound signal and the negative pressure wave signal to the server through the wireless sensor middle; S500, obtain the current flow value, infrasound wave signal and negative pressure wave signal at each node and transmit them to the server; S600, in the server, according to the flow value of each node, the infrasound wave signal and the negative pressure wave signal, calculate the flow wave potential of each node; Among them, in S400, at the current moment, at each node, the flow value at the node is obtained through the flow meter, the infrasonic wave signal and negative pressure wave signal of the pipeline at the node are obtained through the acoustic wave sensor, and then the flow value and the infrasound wave signal are obtained by the wireless sensor. The method of transmitting the signal and the negative pressure wave signal to the server is: obtaining the infrasound wave signal and the negative pressure wave signal at the node through the acoustic wave sensor, wherein the infrasound wave signal includes the propagation velocity value of the infrasound wave and the received between the connected nodes. The data of the time difference of the infrasound wave, and the negative pressure wave signal is the data including the propagation velocity value of the negative pressure wave and the difference of the time when the negative pressure wave is received between the connected nodes; In S600, in the server, according to the flow value of each node, the infrasound wave signal and the negative pressure wave signal, the method for calculating the flow wave potential of each node is as follows: Denote the number of all nodes as n, and denote the set composed of all nodes as Nset, where the sequence number of the node is i, i∈[1,n], and the node with sequence number i is N(i); First, obtain the connection group between each node, the connection group is an n-dimensional vector, the connection group corresponding to node N(i) is V(i), and the serial number of the dimension in the connection group corresponds to 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 group V(i), and i1 also belongs to [1,n]; Obtain the values of the flow value, infrasound wave signal and negative pressure wave signal corresponding to node N(i), and take the arithmetic mean of the three values. The arithmetic mean of is recorded as Lia(i); The value of the dimension with the serial number value i1 in the connection quantity group V(i) is denoted as V(i, i1), and the calculation method of the V(i, i1) is: obtain the node with the serial number value i1 and record it as a node N(i1), the number of edges between the node N(i) and the node N(i1) is obtained as edg(i, i1). If the node N(i) and the node N(i1) ) is the same node, then set the value of edg(i,i1) to 1, and then calculate the cross-dimensional division in the connection group V(i) as D(i). The calculation formula of D(i) is:

, Then calculate the value of V(i,i1) as V(i,i1)= exp(edg(i,i1))/D(i), exp is the exponential function calculated with the natural constant e as the base, thus obtaining the connection The value of the dimension number i1 in the quantity group V(i) is V(i, i1); Further, calculate the connection quantity groups of each node in Nset respectively, and arrange the connection quantity groups of each node according to the serial number from 1 to n as a vector of n rows, thereby obtaining a matrix of n rows and n columns, and denote the matrix as Dmat , that is, the serial number of the row in Dmat is consistent with the serial number i of each node in Nset, the serial number of the column in Dmat is consistent with the serial number i1 of the dimension in the connection group V(i), and the row with the serial number i in Dmat is the node N ( i) The corresponding connection quantity group V(i), the element whose row number is i and the column number is i1 in Dmat is V(i, i1); The process of calculating the flow wave potential L(i) of the node N(i) is as follows: S601, calculate the difference between the numerical value of the maximum element and the numerical minimum element in each column in the matrix Dmat respectively, and use the difference of the numerical value as the column value of the column where it is located; S602, and then select the column with the largest column value in Dmat, and denote the column serial number of the column with the largest column value as i1max; S603, obtain the serial number i of the node N(i), and obtain the element whose row serial number is the serial number i of the node N(i) in the column with the column serial number i1max in Dmat as V(i, i1max); S604, calculate the flow wave potential L(i) of the node N(i), and the calculation formula of the flow wave potential L(i) is:

; Thus, the flow wave potential of each node in Nset is calculated separately. 2. A pipeline defect detection method combining acoustic wave and flow balance according to claim 1, characterized in that, in S100, the pipeline is used for fluid transmission, and the regulating valve is used to adjust the flow in the pipeline. The flow rate of the fluid being transferred. 3. a kind of pipeline defect detection method combining acoustic wave and flow balance according to claim 1, is characterized in that, in S200, described wireless sensor interconnects the flowmeter and acoustic wave sensor at each node, described acoustic wave The sensor has the functions of acquiring the propagation speed of negative pressure waves and infrasound waves, as well as the time difference of receiving negative pressure waves and infrasound waves between connected nodes, and the data acquired by each node is connected to the server. 4. A pipeline defect detection method combining acoustic wave and flow balance according to claim 1, characterized in that, in S300, in the pipeline system, each regulating valve is used as each node respectively, and each regulating valve is connected with each other. The method of using the pipeline as the edge connecting each node is as follows: each node establishes an edge according to the transmission direction of the pipeline connected between them, and connects each node into a fully connected graph. 5. a kind of pipeline defect detection method combining acoustic wave and flow balance according to claim 1, is characterized in that, also comprises S700, according to the flow wave potential of each node, judges whether each node has the probability of pipeline defect, specifically is : According to the flow wave potential of each node, the mode of the flow wave potential of each node is obtained, the median of the flow wave potential of each node is obtained, and the average value of the mode and median of the flow wave potential of each node is calculated as the flow Wave potential threshold, record the current wave potential threshold as η; If there is a node with a flow potential greater than η, the probability of pipeline defects at the node where the flow potential is greater than η is not zero, and the value of the flow potential at the node where the flow potential is greater than η is denoted as Er. The probability of the existence of pipeline defects in the nodes with the flow potential greater than η is per, and the calculation method of per is per=(Er-η)/η, and the per is the existence of pipeline defects at the nodes with the flow potential greater than η. The probability. 6. A pipeline defect detection system combining acoustic waves and flow balance, characterized in that, the pipeline defect detection system combining acoustic waves and flow balance comprises: a processor, a memory, and a system stored in the memory and stored in the memory. A computer program running on the processor, when the processor executes the computer program, the steps in the pipeline defect detection method for joint acoustic wave and flow balance according to any one of claims 1 to 5 are realized, and the one A combined sonic and flow balancing pipeline defect detection system runs on desktops, laptops, PDAs, or computing devices in cloud-based data centers.

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