Method and device for detecting a leak in a pipe for a high-pressure heater

Abstract

Embodiments of the present disclosure disclose a pipeline leakage detection method and device applied to a high-pressure heater. A specific embodiment of the method comprises: collecting an original leakage acoustic emission signal of an outer wall of the high-pressure heater; performing filtering processing on the original leakage acoustic emission signal to generate a processed leakage acoustic emission signal; performing root mean square value determination on the processed leakage acoustic emission signal to generate a leakage acoustic emission signal root mean square value; in response to determining that the leakage acoustic emission signal root mean square value is greater than a preset numerical threshold value, performing leakage positioning on a leakage breach of the high-pressure heater according to the processed leakage acoustic emission signal to generate a high-pressure heater leakage breach position; determining a breach position leakage rate level according to the high-pressure heater leakage breach position; and performing a safety alarm and repair operation according to the breach position leakage rate level. The embodiment reduces the pipeline leakage rate of the high-pressure heater and improves the safety of the high-pressure heater.

Description

TECHNICAL FIELD

[0001] Embodiments of the present disclosure relate to the technical field of computer technology, and in particular, to a pipeline leakage detection method and device applied to a high-pressure heater. BACKGROUND

[0002] The pipeline leakage detection applied to the high-pressure heater is a technology for detecting the pipeline leakage of the high-pressure heater. At present, when detecting the pipeline leakage, the commonly used way is to detect the pipeline leakage by manual inspection.

[0003] However, when the pipeline leakage is detected by the above way, the following technical problems often exist:

[0004] Since the elastic wave energy in the early stage of leakage is low and is easily covered by pump noise, the manual inspection cannot timely detect the leakage breach position, causing that the leakage breach cannot be timely warned and repaired, resulting in the increase of the pipeline leakage rate of the high-pressure heater and the decrease of the safety of the high-pressure heater. SUMMARY

[0005] The summary of the present disclosure is used to introduce the concepts in a brief form, which will be described in detail in the following detailed description part. The summary of the present disclosure is not intended to identify the key features or essential features of the claimed technical solutions, nor is it intended to limit the scope of the claimed technical solutions.

[0006] Some embodiments of the present disclosure propose a pipeline leakage detection method and device applied to a high-pressure heater to solve the technical problems mentioned in the background part.

[0007] In a first aspect, some embodiments of the present disclosure provide a pipeline leakage detection method applied to a high-pressure heater, which comprises: collecting an original leakage acoustic emission signal of an outer wall of the high-pressure heater, wherein the original leakage acoustic emission signal is an elastic wave signal generated by the inner tube leakage of the high-pressure heater and propagated to the outer wall along the metal wall; performing filtering processing on the original leakage acoustic emission signal to generate a processed leakage acoustic emission signal; performing root mean square value determination on the processed leakage acoustic emission signal to generate a leakage acoustic emission signal root mean square value, wherein the leakage acoustic emission signal root mean square value represents the energy of the processed leakage acoustic emission signal; in response to determining that the leakage acoustic emission signal root mean square value is greater than a preset numerical threshold value, performing leakage positioning on the leakage breach of the high-pressure heater according to the processed leakage acoustic emission signal to generate a high-pressure heater leakage breach position; determining a breach position leakage rate level according to the high-pressure heater leakage breach position; and performing a safety warning and repair operation according to the breach position leakage rate level.

[0008] In a second aspect, some embodiments of the present disclosure provide a pipeline leakage detection device applied to a high-pressure heater, the device comprising: a collection unit configured to collect an original leakage acoustic emission signal of an outer wall of the high-pressure heater, wherein the original leakage acoustic emission signal is an elastic wave generated by an inner tube leakage of the high-pressure heater and propagated to the outer wall along the metal wall; a filtering processing unit configured to perform filtering processing on the original leakage acoustic emission signal to generate a processed leakage acoustic emission signal; a first determination unit configured to perform root mean square value determination on the processed leakage acoustic emission signal to generate a leakage acoustic emission signal root mean square value, wherein the leakage acoustic emission signal root mean square value represents an energy of the processed leakage acoustic emission signal; a positioning unit configured to, in response to determining that the leakage acoustic emission signal root mean square value is greater than a preset numerical threshold, perform leakage positioning on a leakage breach of the high-pressure heater according to the processed leakage acoustic emission signal to generate a high-pressure heater leakage breach position; a second determination unit configured to determine a breach position leakage rate level according to the high-pressure heater leakage breach position; and an execution unit configured to perform a safety alarm and a repair operation according to the breach position leakage rate level.

[0009] In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; and a storage device having one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any of the implementations of the first aspect.

[0010] In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein when the program is executed by a processor, the method described in any of the implementations of the first aspect is implemented.

[0011] The above various embodiments of the present disclosure have the following beneficial effects: by the pipeline leakage detection method applied to the high-pressure heater according to some embodiments of the present disclosure, the pipeline leakage rate of the high-pressure heater is reduced, and the safety of the high-pressure heater is improved. Specifically, the reason for causing the pipeline leakage rate of the high-pressure heater to increase and the safety of the high-pressure heater to decrease is that, because the elastic wave energy in the early stage of leakage is low, it is easy to be covered by pump noise, and manual inspection cannot detect the leakage breach position in time, so that the leakage breach cannot be timely alarmed and repaired, resulting in an increase in the pipeline leakage rate of the high-pressure heater and a decrease in the safety of the high-pressure heater. Based on this, the pipeline leakage detection method applied to the high-pressure heater according to some embodiments of the present disclosure first collects the original leakage acoustic emission signal of the outer wall of the high-pressure heater, wherein the original leakage acoustic emission signal is the signal of the elastic wave generated by the inner tube leakage of the high-pressure heater propagating to the outer wall along the metal wall. Thus, the original leakage acoustic emission signal can be collected by the acoustic emission sensor, avoiding the situation that the elastic wave energy in the early stage of leakage is low, easy to be covered by pump noise, and manual inspection cannot detect the leakage breach position in time. Then, the original leakage acoustic emission signal is filtered to generate a processed leakage acoustic emission signal. Thus, the original leakage acoustic emission signal can be de-noised to remove pump noise and facilitate subsequent processing. Subsequently, the root mean square value of the processed leakage acoustic emission signal is determined to generate a leakage acoustic emission signal root mean square value, wherein the leakage acoustic emission signal root mean square value represents the energy of the processed leakage acoustic emission signal. Thus, the processed leakage acoustic emission signal can be quantified to find the leakage position. Next, in response to determining that the leakage acoustic emission signal root mean square value is greater than a preset numerical threshold, the leakage breach of the high-pressure heater is located according to the processed leakage acoustic emission signal to generate a high-pressure heater leakage breach position. Thus, the leakage breach position can be detected in time, and the leakage breach can be timely alarmed and repaired, thereby reducing the pipeline leakage rate of the high-pressure heater and improving the safety of the high-pressure heater. Then, the breach position leakage rate level is determined according to the high-pressure heater leakage breach position. Thus, the priority of the breach position can be determined. Finally, the safety alarm and repair operation are performed according to the breach position leakage rate level. Therefore, the pipeline leakage rate of the high-pressure heater is reduced, and the safety of the high-pressure heater is improved. BRIEF DESCRIPTION OF DRAWINGS

[0012] The above and other features, advantages, and aspects of the embodiments of the present disclosure will become more apparent upon consideration of the following detailed description, taken in conjunction with the accompanying drawings. In the drawings, like reference numerals refer to like elements. It should be understood that the drawings are schematic and elements and features are not necessarily to scale.

[0013] Figure 1is a schematic diagram of one application scenario of a pipeline leakage detection method of some embodiments of the disclosure applied to a high-pressure heater;

[0014] Figure 2 is a flow chart of some embodiments of a pipeline leakage detection method applied to a high-pressure heater according to the disclosure;

[0015] Figure 3 is a structural schematic diagram of some embodiments of a pipeline leakage detection device applied to a high-pressure heater according to the disclosure;

[0016] Figure 4 is a structural schematic diagram of an electronic device suitable for implementing some embodiments of the disclosure;

[0017] Figure 5 is a high-pressure heater leakage breach position diagram of some embodiments of a pipeline leakage detection device applied to a high-pressure heater according to the disclosure;

[0018] Figure 6 is a preset risk matrix diagram of some embodiments of a pipeline leakage detection method applied to a high-pressure heater according to the disclosure. DETAILED DESCRIPTION

[0019] Embodiments of the disclosure will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the disclosure are shown in the drawings, it should be understood that the disclosure can be implemented in various forms, and should not be interpreted as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to make the disclosure more thorough and complete. It should be understood that the drawings and embodiments of the disclosure are only for exemplary purposes, and are not intended to limit the scope of protection of the disclosure.

[0020] In addition, it should be further noted that only parts related to the invention are shown in the drawings for ease of description. The embodiments in the disclosure and the features in the embodiments can be combined with each other without conflict.

[0021] It should be noted that the concepts of "first", "second", etc. mentioned in the disclosure are only used to distinguish different devices, modules or units, and are not intended to limit the order or interdependence of the functions performed by these devices, modules or units.

[0022] It should be noted that the adjectives "one", "multiple" mentioned in the disclosure are illustrative and not limiting, and those skilled in the art should understand that unless otherwise explicitly stated in the context, it should be understood as "one or more".

[0023] The names of the messages or information exchanged between the devices in the embodiments of the disclosure are only for illustrative purposes, and are not intended to limit the scope of the messages or information.

[0024] The present disclosure will be described in detail below with reference to the attached drawings and embodiments.

[0025] Figure 1 is a schematic diagram of one application scenario of the pipeline leakage detection method applied to the high-pressure heater of some embodiments of the present disclosure.

[0026] In Figure 1 application scenario, first, the water vapor inlet 101 of the high-pressure heater 100 is regulated by the pressure valve 108, and the pressure valve pressure gauge 109 can display the pressure data of the pressure valve 108. Then, the acoustic emission sensor 102 is attached to the outer wall 110 of the high-pressure heater, wherein the acoustic emission sensor lists four, and the acoustic emission sensor can have any number according to the implementation needs. The stop valve 103 is used to close the water outlet of the high-pressure heater 100. The drain outlet 104 is used for draining water. The original leakage acoustic emission signal emitted by the inner tube leakage hole 105 of the high-pressure heater 100 is collected by the acoustic emission sensor 102. The pressure reducing valve 107 is used to reduce the pressure of the high-pressure heater 100. The pressure reducing valve pressure gauge 106 is used to display the pressure data of the pressure reducing valve 107.

[0027] With reference to Figure 2 , the flow 200 of some embodiments of the pipeline leakage detection method applied to the high-pressure heater according to the present disclosure is shown. The pipeline leakage detection method applied to the high-pressure heater includes the following steps:

[0028] Step 201, collecting the original leakage acoustic emission signal of the outer wall of the high-pressure heater.

[0029] In some embodiments, the subject (for example, a computing device) of the pipeline leakage detection method applied to the high-pressure heater can collect the original leakage acoustic emission signal of the outer wall of the high-pressure heater through wired or wireless connection, wherein the above-mentioned original leakage acoustic emission signal is the signal generated by the elastic wave generated by the inner tube leakage of the above-mentioned high-pressure heater propagating to the outer wall along the metal wall.

[0030] Here, the above-mentioned original leakage acoustic emission signal includes but is not limited to at least one of the following: leakage acoustic emission signal, low-frequency mechanical noise and electromagnetic interference, wherein the above-mentioned low-frequency mechanical noise can refer to the noise generated by the mechanical equipment with lower frequency. The above-mentioned mechanical equipment can refer to pumps, valves. The above-mentioned low-frequency mechanical noise can also refer to the noise generated by the turbulent flow of fluid in the pipeline. The above-mentioned leakage acoustic emission signal can refer to the signal emitted when the inner tube of the high-pressure heater leaks.

[0031] As an example, the execution subject can collect a raw leakage acoustic emission signal of an outer wall of a high-pressure heater through an acoustic emission sensor. The acoustic emission sensor can be referred to as an AE sensor. For example, when a high-pressure heater inner tube leaks, high-speed fluid impacts the tube wall, and acoustic transient elastic waves are generated and propagate to the outer wall surface, causing the acoustic emission sensor to deform, thereby collecting the raw leakage acoustic emission signal.

[0032] It should be noted that the wireless connection mode can include, but is not limited to, 3G / 4G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other now known or future developed wireless connection modes.

[0033] At step 202, the raw leakage acoustic emission signal is filtered to generate a processed leakage acoustic emission signal.

[0034] In some embodiments, the execution subject can filter the raw leakage acoustic emission signal to generate a processed leakage acoustic emission signal.

[0035] Here, the processed leakage acoustic emission signal can be a leakage acoustic emission signal after removing the low-frequency mechanical noise.

[0036] As an example, the execution subject can filter the raw leakage acoustic emission signal using a band-pass filter to generate a processed leakage acoustic emission signal. The band-pass filter can be a 20 kHz-200 kHz band-pass filter.

[0037] At step 203, the processed leakage acoustic emission signal is subjected to root mean square value determination to generate a leakage acoustic emission signal root mean square value.

[0038] In some embodiments, the execution subject can determine the root mean square value of the processed leakage acoustic emission signal to generate a leakage acoustic emission signal root mean square value, wherein the leakage acoustic emission signal root mean square value represents the energy of the processed leakage acoustic emission signal.

[0039] Here, the root mean square value can be referred to as the quadratic mean. For example, assuming that a segment of the processed leakage acoustic emission signal is x = [0.10, -0.15, 0.30, 0.20, -0.25, 0.40, -0.05, 0.15], first, square x to obtain x 2 = [0.01, 0.0225, 0.09, 0.04, 0.0625, 0.16, 0.0025, 0.0225]. Then, square root x 2The average is mean(x2) = (0.01 + 0.0225 + 0.09 + 0.04 + 0.0625 + 0.16 + 0.0025 + 0.0225) / 8 = 0.05125. Finally, the arithmetic square root of mean(x2) is about 0.226. That is, the root mean square value of the leakage acoustic emission signal is 0.226 V, representing the energy of the signal of the segment.

[0040] In step 204, in response to determining that the root mean square value of the leakage acoustic emission signal is greater than the preset numerical threshold value, the leakage location of the leakage breach of the high-pressure heater is located according to the processed leakage acoustic emission signal, to generate the high-pressure heater leakage breach position.

[0041] In some embodiments, the execution subject can locate the leakage breach of the high-pressure heater according to the processed leakage acoustic emission signal, to generate the high-pressure heater leakage breach position, in response to determining that the root mean square value of the leakage acoustic emission signal is greater than the preset numerical threshold value.

[0042] Here, the preset numerical threshold value can refer to the maximum value of the root mean square value preset in advance. The leakage breach can refer to the breach causing the leakage.

[0043] Optionally, the execution subject can locate the leakage breach of the high-pressure heater according to the processed leakage acoustic emission signal, to generate the high-pressure heater leakage breach position, in response to determining that the root mean square value of the leakage acoustic emission signal is greater than the preset numerical threshold value, by the following steps:

[0044] First, in response to determining that the root mean square value of the leakage acoustic emission signal is greater than the preset numerical threshold value, the processed leakage acoustic emission signal is frame-sampled to generate signal sampling points.

[0045] Here, the signal sampling points can refer to all voltage numbers in each frame after the 1-second long processed leakage acoustic emission signal is cut into multiple frames.

[0046] As an example, the execution subject can frame-sample the processed leakage acoustic emission signal at a sampling rate of 2 MHz to generate signal sampling points. For example, 1-second signal sampling points are 2000000 points. If each frame has 8192 points, the 8192 voltage values of the first frame are the first frame signal sampling points.

[0047] Second, the peak frequency is determined according to the signal sampling points.

[0048] Optionally, the execution subject can determine the peak frequency according to the signal sampling points by the following steps:

[0049] The first sub-step is to frame the signal sampling points to generate a set of framed sampling points.

[0050] As an example, the execution subject can frame the signal sampling points according to a preset frame length to generate a set of framed sampling points. The preset frame length can refer to a preset length of the framing. For example, the preset frame length can refer to 8192 points.

[0051] The second sub-step is to determine a Hanning window for the set of framed sampling points to generate a Hanning window.

[0052] Here, the Hanning window can refer to w = hanning(8192). The value of the Hanning window is between 0 and 1.

[0053] The third sub-step is to generate a frequency interval according to the set of framed sampling points, the Hanning window, and the signal sampling points.

[0054] As an example, the execution subject can perform a Fast Fourier Transform (FFT) on the Hanning window to obtain complex frequency domain data. The complex frequency domain data is 8192 complex frequency points. The complex frequency point can be a sine wave with amplitude and phase. Then, the complex frequency domain data is subjected to amplitude conversion processing to obtain a single-sided amplitude spectrum. The amplitude conversion is a double-sided amplitude conversion to a single-sided amplitude, divided by the number of points, and then multiplied by 2. Next, the single-sided amplitude spectrum is subjected to frequency axis establishment processing to obtain a frequency sequence. For example, the frequency sequence can refer to 0-1.9998MHz. Finally, the frequency sequence is subjected to frequency band interception processing to obtain a frequency interval. For example, the frequency interval is 20k-200kHz.

[0055] The fourth sub-step is to determine the maximum frequency value corresponding to the frequency interval as a peak frequency.

[0056] The third step is to determine a wavelet packet energy entropy of the processed leaky acoustic emission signal to generate a wavelet packet energy entropy.

[0057] Optionally, the execution subject can determine a wavelet packet energy entropy of the processed leaky acoustic emission signal to generate a wavelet packet energy entropy by the following steps:

[0058] The first sub-step is to perform a preset number of layers of wavelet packet decomposition on the processed leaky acoustic emission signal to generate a set of wavelet packet subbands.

[0059] Here, the preset number of layers can refer to 4 layers. The set of wavelet packet subbands contains 16 wavelet packet subbands.

[0060] As an example, the execution subject can divide the processed leakage acoustic emission signal into wavelet packet subbands according to a preset number of layers to generate a set of wavelet packet subbands.

[0061] In a second sub-step, an energy value of each wavelet packet subband in the set of wavelet packet subbands is determined to generate an energy value, thereby obtaining a set of energy values.

[0062] As an example, the execution subject can perform a square summation on all points of each wavelet packet subband in the set of wavelet packet subbands to generate an energy value, thereby obtaining a set of energy values. For example, a wavelet packet subband is [0.3, -0.4, 0.1, 0.2]. The square of the wavelet packet subband is [0.09, 0.16, 0.01, 0.04]. The energy value is 0.09 + 0.16 + 0.01 + 0.04 = 0.30 (example data). The energy value in the set of energy values is proportional to the intensity of the leakage acoustic emission signal, that is, the greater the energy value, the stronger the intensity of the leakage acoustic emission signal. The range of the energy value in the set of energy values is not limited.

[0063] In a third sub-step, each energy value in the set of energy values is normalized to generate a set of normalized energy values.

[0064] As an example, the execution subject can divide each energy value in the set of energy values by the sum of each energy value in the set of energy values to obtain a set of normalized energy values.

[0065] In a fourth sub-step, an entropy value of the set of normalized energy values is determined to generate a wavelet packet energy entropy.

[0066] As an example, the execution subject can determine a Shannon entropy of the set of normalized energy values to generate a wavelet packet energy entropy. For example, the wavelet packet energy entropy is 1.05.

[0067] In a fourth step, in response to determining that the wavelet packet energy entropy, the peak frequency, and the root mean square value of the leakage acoustic emission signal all satisfy a preset leakage condition, a leakage location of the leakage breach of the high-pressure heater is located to generate a high-pressure heater leakage breach position.

[0068] Here, the preset leakage condition can refer to a preset condition that the peak frequency is between 30 kHz and 40 kHz, the wavelet packet energy entropy is less than 1.5, and the root mean square value of the leakage acoustic emission signal is greater than a preset numerical threshold. In response to determining that the wavelet packet energy entropy, the peak frequency, and the root mean square value of the leakage acoustic emission signal all satisfy the preset leakage condition, it is indicated that the high-pressure heater leaks.

[0069] In the process of solving the problems mentioned in the background by the technical solutions, the following problems often occur:

[0070] Since the shape of the high-pressure heater is a three-dimensional cylindrical shape, it is difficult to obtain the coordinates of the leakage breach on the outer wall of the high-pressure heater, and manual inspection leads to a large error in the position of the leakage breach of the high-pressure heater, resulting in errors in the repair of the leakage breach and reducing the safety of the high-pressure heater

[0071] In view of the above technical problems, the inventors have decided to adopt the following solutions:

[0072] Alternatively, the execution subject can perform the following steps in response to determining that the wavelet packet energy entropy, the peak frequency, and the root mean square value of the leakage acoustic emission signal all satisfy the preset leakage condition, to perform leakage positioning on the leakage breach of the high-pressure heater, and to generate the position of the leakage breach of the high-pressure heater:

[0073] First, determine the outer wall length between the pressurizing valve and the pressure reducing valve of the high-pressure heater.

[0074] Here, the pressurizing valve can refer to a valve for increasing pressure. The pressure reducing valve can refer to a valve for reducing pressure. The pressurizing valve and the pressure reducing valve are located at the two ends of the high-pressure heater, respectively. As shown in the figure. Figure 1

[0075] As an example, the execution subject can determine the outer wall length between the pressurizing valve and the pressure reducing valve of the high-pressure heater by a measuring tool. The measuring tool can refer to a laser range finder. For example, the outer wall length can be 12 m.

[0076] Second, in response to determining that the pressure reducing valve is in a closed state, inject a preset pressure test pulse into the pressurizing valve to propagate at a preset speed in the high-pressure heater.

[0077] Here, the preset pressure can refer to a pressure set in advance. For example, the preset pressure can refer to a preset 0.1 MPa. The test pulse can refer to a nitrogen pulse. The preset speed can refer to a speed set in advance. For example, the preset speed can refer to a preset 5900 m / s.

[0078] Third, in response to determining that the test pulse reaches the leakage breach, control the pressurizing valve pressure gauge of the pressurizing valve to determine the time to generate the test pulse arrival time.

[0079] Here, the pressurizing valve pressure gauge can refer to an instrument for recording pressure data of the pressurizing valve. The pressure data can include but is not limited to at least one of the following: time, pressure. The test pulse arrival time can refer to the time taken for the test pulse to reach the leakage breach. For example, the test pulse arrival time can be 1.8 ms.

[0080] ​Fourthly, in response to determining that the test pulse is reflected to the leakage breach, a pressurizing valve pressure gauge of the pressurizing valve is controlled to determine time, so as to generate a test pulse reflection time.

[0081] Here, the test pulse reflection time represents a time from when the test pulse reaches the right side of the high-pressure heater to when the test pulse is reflected to the leakage breach from the right side. For example, the test pulse reflection time is 2.2 ms.

[0082] Fifthly, according to the test pulse reflection time and the test pulse arrival time, a test pulse time difference is determined.

[0083] For example, the test pulse time difference is (2.2 ms-1.8 ms) / 2=0.2 ms.

[0084] Sixthly, according to the test pulse time difference, the preset speed, and the outer wall length, a leakage breach transverse position coordinate is generated.

[0085] For example, the leakage breach transverse position coordinate is (12 m-5900 m / s*0.3 ms) / 2=5.11 m, 12 m-5.11 m=6.89 m. That is, the distance from the left side of the high-pressure heater is 6.89 m, and the distance from the right side is 5.11 m.

[0086] Seventhly, according to a preset longitudinal sensor array, a leakage breach longitudinal position coordinate is generated.

[0087] Here, the preset longitudinal sensor array can refer to arranging a preset number of acoustic emission sensors on a longitudinal cutting surface of the high-pressure heater. The preset number can refer to 4.

[0088] For example, the execution subject can control each longitudinal sensor in the longitudinal sensor array to perform a leakage acoustic emission detection, so as to generate a leakage acoustic emission set. A position where a maximum leakage acoustic emission in the leakage acoustic emission set is located is determined as the leakage breach longitudinal position coordinate. For example, the sensor arrangement is: 1 acoustic emission sensor is arranged every 1 m along the width of the high-pressure heater, and the numbers are S1(0 m), S2(1 m), S3(2 m), and S4(3 m). The leakage acoustic emission set can refer to {S1=42 dB, S2=48 dB, S3=65 dB, S4=50 dB}. The maximum acoustic level is at S3, and thus the leakage breach longitudinal position coordinate=2 m. As shown in FIG. 1. Figure 5 S1, S2, S3, and S4 are longitudinal sensor arrays.

[0089] In the eighth step, the high-pressure heater is marked with coordinates according to the transverse position coordinates of the leakage breach and the longitudinal position coordinates of the leakage breach, to obtain the position of the leakage breach of the high-pressure heater.

[0090] As an example, the execution subject can mark the transverse position coordinates of the leakage breach and the longitudinal position coordinates of the leakage breach to the outer wall of the high-pressure heater by a marking tool to obtain the position of the leakage breach of the high-pressure heater. The marking tool can be Doccano. As shown in Figure 5 The dashed line intersection point is the position (x1, y1) of the leakage breach of the high-pressure heater, and the marked transverse position coordinates of the leakage breach and the longitudinal position coordinates of the leakage breach are x1 and y1, respectively. The middle of the outer wall of the high-pressure heater is the x-axis, and the left midpoint of the outer wall of the high-pressure heater is the y-axis.

[0091] The related content in the above first step to eighth step is an application point of the present disclosure, which solves the technical problem of "causing the safety of the high-pressure heater to be reduced". The factors that cause errors in the repair of the leakage breach and reduce the safety of the high-pressure heater are often as follows: since the shape of the high-pressure heater is a three-dimensional cylindrical shape, it is difficult to obtain the coordinates of the leakage breach on the outer wall of the high-pressure heater, and the error in obtaining the position of the leakage breach of the high-pressure heater by manual inspection is large, which causes errors in the repair of the leakage breach and reduces the safety of the high-pressure heater. If the above factors are solved, the safety of the high-pressure heater can be improved. In order to achieve this effect, first, the length of the outer wall between the pressurizing valve and the decompressing valve of the high-pressure heater is determined. In response to determining that the decompressing valve is in a closed state, a preset pressure test pulse is injected into the pressurizing valve to propagate in the high-pressure heater at a preset speed. Thus, subsequent processing can be facilitated. In response to determining that the test pulse reaches the leakage breach, the pressurizing valve pressure gauge of the pressurizing valve is controlled to determine the time to generate the test pulse arrival time. In response to determining that the test pulse is reflected to the leakage breach, the pressurizing valve pressure gauge of the pressurizing valve is controlled to determine the time to generate the test pulse reflection time. According to the test pulse reflection time and the test pulse arrival time, the test pulse time difference is determined. Thus, manual inspection can be avoided, and the coordinates of the leakage breach on the outer wall of the high-pressure heater can be accurately obtained. According to the test pulse time difference, the preset speed and the outer wall length, the lateral position coordinates of the leakage breach are generated. The longitudinal sensor array is arranged on the outer wall length to generate the longitudinal sensor array. Thus, the longitudinal coordinates of the leakage breach can be obtained, so that the position of the leakage breach is unique. According to the longitudinal sensor array, the longitudinal position coordinates of the leakage breach are generated. According to the lateral position coordinates of the leakage breach and the longitudinal position coordinates of the leakage breach, the high-pressure heater is coordinate-labeled to obtain the position of the high-pressure heater leakage breach. Thus, only the determined position of the high-pressure heater leakage breach can be repaired, thereby reducing the area of the repair and shortening the repair time. Therefore, the safety of the high-pressure heater is improved.

[0092] In step 205, the breach position leakage rate level is determined according to the position of the high-pressure heater leakage breach.

[0093] In some embodiments, the subject can determine the breach position leakage rate level according to the position of the high-pressure heater leakage breach.

[0094] Optionally, the subject can determine the breach position leakage rate level according to the position of the high-pressure heater leakage breach by the following steps:

[0095] First, the leakage rate of the position of the high-pressure heater leakage breach is determined to generate the breach position leakage rate.

[0096] As an example, the execution subject can determine the leak rate of the leak hole position of the high-pressure heater through the GPU-CFD fast simulator to generate the leak rate of the hole position.

[0097] Secondly, the leak rate of the hole position is determined according to the preset leak rate level to generate the leak rate level of the hole position.

[0098] Optionally, the execution subject can determine the leak rate level of the hole position according to the leak hole position of the high-pressure heater through the following steps:

[0099] Firstly, the three-dimensional coordinates corresponding to the leak hole position of the high-pressure heater are mapped to the preset built-in grid of the high-pressure heater to obtain the grid number of the leak hole.

[0100] Here, the preset built-in grid can refer to the high-pressure heater cut into multiple small grids. Each small grid in the multiple small grids has a unique number. For example, the three-dimensional coordinates corresponding to the leak hole position of the high-pressure heater are mapped to the preset 1 cm x 1 cm x 1 cm grid of the high-pressure heater to obtain a unique GridID = "G127-045-018".

[0101] Secondly, the grid snapshot of the grid number of the leak hole is called, wherein the grid snapshot includes the leak hole wall thickness, stress and temperature.

[0102] Here, the leak hole wall thickness can be 18.4 mm. The stress can be 82 MPa, and the temperature can be 215 degrees Celsius. The grid snapshot is obtained by cutting the whole high-pressure heater into multiple 1 cm³ grids before the high-pressure heater leaves the factory, calculating the wall thickness, stress and temperature of each grid and writing them into the database.

[0103] Thirdly, the hole area is determined according to the grid snapshot.

[0104] Here, the hole area can refer to the effective cross-sectional area of the leak hole.

[0105] As an example, the execution subject can first read the current acoustic emission peak amplitude, and then divide the leak hole wall thickness in the grid snapshot by the current acoustic emission peak amplitude to obtain the hole area.

[0106] Fourthly, the hole area is input into the transient leak rate model to obtain the transient leak rate.

[0107] Here, the transient leakage rate can refer to a leakage rate run in 1 second. The transient leakage rate model can be a GPU-CFD fast simulator. The principle of the GPU-CFD fast simulator is to move the traditional CFD software to the GPU to run. The GPU-CFD fast simulator is a fluid simulation engine that can complete the leakage rate calculation that originally takes several hours of CPU in 1 second to several minutes.

[0108] As an example, the execution subject can input the breach area to the 1s GPU-CFD fast simulator to obtain the transient leakage rate. The 1s GPU-CFD can refer to a GPU fluid simulator that is run in 1 second.

[0109] In the fifth step, the transient leakage rate is corrected to generate a final leakage rate.

[0110] As an example, the execution subject can multiply the transient leakage rate by a predetermined correction factor to obtain the final leakage rate. The predetermined correction factor can refer to 0.95.

[0111] In the sixth step, the final leakage rate and the inventory days are input to a predetermined risk matrix to obtain a risk matrix coordinate.

[0112] Here, the predetermined risk matrix can refer to a 3x3 matrix that is set in advance, wherein the rows of the predetermined risk matrix represent the final leakage rate, and the columns of the predetermined risk matrix represent the inventory days. The inventory days can refer to the number of days required to complete a leakage repair with the current spare parts inventory. For example, there are 3 blind plates in the inventory, and the average repair takes 1 day, so the inventory days = 3. The predetermined risk matrix is shown in Table 1. Figure 6 As shown. d represents the inventory days. Q_f represents the final leakage rate. The three ranges of d are 0-1, 1-3, and greater than 3. The three ranges of Q_f are 0-50, 50-200, and greater than 200. Y represents Yellow, indicating a moderate risk, which requires repair within 24 hours. R represents Red, indicating a high risk, which requires emergency shutdown within 4 hours. G represents Green, indicating a low risk, which does not require repair for the time being. For example, the final leakage rate Q_f = 97.9 L / h, and the inventory days d = 2 days, which are input to the predetermined risk matrix and fall in "Y2", i.e., the risk matrix coordinate.

[0113] In the seventh step, the risk matrix coordinate is drift-corrected with a grid aging coefficient to obtain a drift-corrected grade code.

[0114] Here, the grid aging coefficient can refer to the drift amount of the grid service life on the risk level. For example, the grid aging coefficient can refer to 0.02.

[0115] As an example, the execution subject can multiply the risk matrix coordinate by the grid aging coefficient, and then add the result of the multiplication to 1 to obtain the post-drift level code.

[0116] In the eighth step, the post-drift level code is mapped to the leakage rate level of the break location.

[0117] The above-mentioned related content in the first step to the eighth step is an application point of the present disclosure, which solves the technical problem of "causing the response time of the break location repair to be too early or too late". The factors that cause the response time of the break location repair to be too early or too late often include: since the leakage amount of the high-pressure heater break location cannot be quantified, the leakage rate level of the break location cannot be determined, which causes the response time of the break location repair to be too early or too late, and reduces the safety of the high-pressure heater. If the above factors are solved, the safety of the high-pressure heater can be improved. In order to achieve this effect, in the first step, the three-dimensional coordinates corresponding to the high-pressure heater leakage break location are mapped to the preset built-in grid of the high-pressure heater to obtain a leakage break grid number. In the second step, a grid snapshot of the leakage break grid number is called, wherein the grid snapshot includes: leakage break wall thickness, stress, and temperature. In the third step, the break area is determined according to the grid snapshot. In the fourth step, the break area is input into a transient leakage rate model to obtain a transient leakage rate. Therefore, the leakage amount of the high-pressure heater break location is quantified by the leakage rate. In the fifth step, the transient leakage rate is corrected to generate a final leakage rate. In the sixth step, the final leakage rate is input into a preset risk matrix to obtain a risk matrix coordinate. Therefore, the break location can be repaired in time, and the safety of the high-pressure heater is improved. In the seventh step, the risk matrix coordinate is drift-corrected with a grid aging coefficient to obtain a post-drift level code. In the eighth step, the post-drift level code is mapped to the leakage rate level of the break location. Therefore, the leakage amount of the high-pressure heater break location is quantified by the leakage rate, the leakage rate level of the break location is determined, the break location can be repaired in time, and the safety of the high-pressure heater is improved.

[0118] In step 206, according to the leakage rate level of the break location, a safety alarm and repair operation are performed.

[0119] In some embodiments, the execution subject can perform a safety alarm and repair operation according to the leakage rate level of the break location.

[0120] Optionally, the execution subject can perform a safety alarm and repair operation according to the leakage rate level of the break location by the following steps:

[0121] In a first step, in response to determining that the leak rate of the above-mentioned leak location is of a high priority level, a repair work order corresponding to the leak location of the above-mentioned leak rate is generated to generate a repair work order, and the repair work order is sent to a repair personnel.

[0122] Here, the repair work order can refer to a task order for repairing the leak location. For example, the repair work order can refer to {coordinate: G81-22-02, leak rate: 97.9 L / h, risk: high priority, spare parts: 1 blind plate}.

[0123] In a second step, in response to determining that the repair personnel receives the repair work order, a safety alarm and a repair operation are performed on the leak location.

[0124] As an example, the execution subject can perform a red light alarm processing and a valve closing operation on the leak location in response to determining that the repair personnel receives the repair work order.

[0125] Further referring to Figure 3 , as an implementation of the methods shown in the above-mentioned figures, the present disclosure provides some embodiments of a pipe leakage detection device applied to a high-pressure heater. The device embodiments correspond to the method embodiments shown in Figure 2 , and the pipe leakage detection device applied to the high-pressure heater can be applied to various electronic devices.

[0126] As shown in Figure 3As shown, the pipeline leakage detection device 300 applied to the high-pressure heater of some embodiments includes a collection unit 301, a filtering processing unit 302, a first determination unit 303, a positioning unit 304, a second determination unit 305, and an execution unit 306. Among them, the collection unit 301 is configured to collect the original leakage acoustic emission signal of the outer wall of the high-pressure heater, wherein the original leakage acoustic emission signal is the signal of the elastic wave generated by the inner tube leakage of the high-pressure heater propagating to the outer wall along the metal wall; the filtering processing unit 302 is configured to perform filtering processing on the original leakage acoustic emission signal to generate a processed leakage acoustic emission signal; the first determination unit 303 is configured to determine the root mean square value of the processed leakage acoustic emission signal to generate a leakage acoustic emission signal root mean square value, wherein the leakage acoustic emission signal root mean square value represents the energy of the processed leakage acoustic emission signal; the positioning unit 304 is configured to, in response to determining that the leakage acoustic emission signal root mean square value is greater than a preset numerical threshold value, perform leakage positioning on the leakage opening of the high-pressure heater according to the processed leakage acoustic emission signal to generate a high-pressure heater leakage opening position; the second determination unit 305 is configured to determine the opening position leakage rate level according to the high-pressure heater leakage opening position; and the execution unit 306 is configured to perform safety alarm and repair operation according to the opening position leakage rate level.

[0127] It can be understood that the units described in the pipeline leakage detection device 300 applied to the high-pressure heater correspond to each step in the method described above. Figure 2 Therefore, the operations, features and beneficial effects described above for the method also apply to the pipeline leakage detection device 300 applied to the high-pressure heater and the units contained therein, which will not be described here.

[0128] Reference is made below to Figure 4 which shows a structural schematic diagram of an electronic device (e.g., a computing device) suitable for implementing some embodiments of the present disclosure. Figure 4 The electronic device shown is merely an example and should not impose any limitation on the function and use range of the embodiments of the present disclosure. As Figure 4As shown, the computer device includes a processor, a memory and a network interface connected through a system bus, wherein the memory can include a non-volatile storage medium and an internal memory. The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions which, when executed, can cause the processor to perform any of the above methods. The processor is used to provide computing and control capabilities to support the operation of the entire computer device. The internal memory provides an environment for the computer program in the non-volatile storage medium to run, which, when executed by the processor, can cause the processor to perform any of the above methods. The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art can understand, Figure 4 The structure shown in the figure is only a block diagram of part of the structure related to the present disclosure, and does not constitute a limitation on the computer device to which the present disclosure is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0129] It should be understood that the processor can be a central processing unit (CPU), and the processor can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0130] In one embodiment, the processor is configured to run a computer program stored in the memory to implement the following steps: collecting a raw leakage acoustic emission signal of an outer wall of a high-pressure heater, wherein the raw leakage acoustic emission signal is an elastic wave generated by an inner tube leakage of the high-pressure heater and propagated to the outer wall along the metal wall; performing filtering processing on the raw leakage acoustic emission signal to generate a processed leakage acoustic emission signal; performing root mean square value determination on the processed leakage acoustic emission signal to generate a leakage acoustic emission signal root mean square value, wherein the leakage acoustic emission signal root mean square value represents an energy of the processed leakage acoustic emission signal; in response to determining that the leakage acoustic emission signal root mean square value is greater than a preset numerical threshold value, performing leakage positioning on a leakage breach of the high-pressure heater according to the processed leakage acoustic emission signal to generate a high-pressure heater leakage breach position; determining a breach position leakage rate level according to the high-pressure heater leakage breach position; and performing a safety alarm and maintenance operation according to the breach position leakage rate level.

[0131] The embodiments of the present disclosure further provide a computer readable storage medium, and the computer readable storage medium stores a computer program. The computer program includes program instructions. The method implemented by the program instructions can refer to the method for detecting a pipeline leakage of a high-pressure heater.

[0132] The computer readable storage medium can be an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. The computer readable storage medium can also be an external storage device of the computer device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, and the like.

[0133] It should be noted that, in this document, the terms "comprising", "containing" or any other variant thereof are intended to cover non-exclusive inclusions, so that a process, method, article or system that includes a list of elements not only includes those elements, but also includes other elements not explicitly listed, or inherent to such a process, method, article or system. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of other identical elements in the process, method, article or system that includes the element.

[0134] The above description is merely exemplary of some preferred embodiments of the present disclosure and of the principles thereof. It is to be understood that the present disclosure is not limited to the specific technical features described above, and that the scope of the present disclosure is not limited to the technical solutions formed by the specific combinations of the above technical features, but also covers other technical solutions formed by the combinations of the above technical features or equivalent features thereof without departing from the above inventive concept. For example, the above technical features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) to form technical solutions.

Claims

1. A method for detecting a leak in a tube of a high pressure heater, the method comprising: The method comprises the following steps: Collecting the original leakage acoustic emission signal of the outer wall of the high-pressure heater, wherein the original leakage acoustic emission signal is the elastic wave generated by the inner tube leakage of the high-pressure heater propagating to the outer wall along the metal wall, and the original leakage acoustic emission signal includes leakage acoustic emission signal, low-frequency mechanical noise and electromagnetic interference; Filtering the original leakage acoustic emission signal to generate a processed leakage acoustic emission signal; Determining the root mean square value of the processed leakage acoustic emission signal to generate a leakage acoustic emission signal root mean square value, wherein the leakage acoustic emission signal root mean square value represents the energy of the processed leakage acoustic emission signal; In response to determining that the leakage acoustic emission signal root mean square value is greater than a preset numerical threshold, performing leakage positioning on the leakage break of the high-pressure heater according to the processed leakage acoustic emission signal to generate a high-pressure heater leakage break position, wherein the leakage positioning on the leakage break of the high-pressure heater to generate the high-pressure heater leakage break position comprises: In response to determining that the leakage acoustic emission signal root mean square value is greater than a preset numerical threshold, frame sampling the processed leakage acoustic emission signal to generate a signal sampling point; Determining a peak frequency according to the signal sampling point; Determining the wavelet packet energy entropy of the processed leakage acoustic emission signal to generate a wavelet packet energy entropy; In response to determining that the wavelet packet energy entropy, the peak frequency and the leakage acoustic emission signal root mean square value all satisfy a preset leakage condition, performing leakage positioning on the leakage break of the high-pressure heater to generate a high-pressure heater leakage break position; Determining a break position leakage rate level according to the high-pressure heater leakage break position, wherein the determination of the break position leakage rate level according to the high-pressure heater leakage break position comprises: Mapping the three-dimensional coordinates corresponding to the high-pressure heater leakage break position to a high-pressure heater preset built-in grid to obtain a leakage break grid number; Calling a grid snapshot of the leakage break grid number, wherein the grid snapshot includes a leakage break wall thickness, stress and temperature; Determining a break area according to the grid snapshot; Inputting the break area into a transient leakage rate model to obtain a transient leakage rate; Correcting the transient leakage rate to generate a final leakage rate; Inputting the final leakage rate into a preset risk matrix to obtain a risk matrix coordinate; Drifting the risk matrix coordinate and a grid aging coefficient to obtain a drifted level code; Mapping the drifted level code to a break position leakage rate level; Performing a safety alarm and maintenance operation according to the break position leakage rate level.

2. The method of claim 1, wherein, The determination of the peak frequency according to the signal sampling point comprises: Frame sampling the signal sampling point to generate a frame sampling point set; Determining a Hanning window according to the frame sampling point set to generate a Hanning window; Generating a frequency interval according to the frame sampling point set, the Hanning window and the signal sampling point; Determining the maximum frequency value corresponding to the frequency interval as the peak frequency.

3. The method of claim 1, wherein, The determination of the break position leakage rate level according to the high-pressure heater leakage break position comprises: The high-pressure heater leakage breach position is subjected to a leakage rate determination to generate a breach position leakage rate; According to a preset leakage rate level, the breach position leakage rate is subjected to a level determination to generate a breach position leakage rate level.

4. The method of claim 1, wherein, The wavelet packet energy entropy determination on the processed leakage acoustic emission signal includes: The processed leakage acoustic emission signal is subjected to a preset layer number wavelet packet decomposition to generate a wavelet packet subband set; Each wavelet packet subband in the wavelet packet subband set is subjected to an energy value determination to generate an energy value, thereby obtaining an energy value set; Each energy value in the energy value set is subjected to a normalization processing to generate a normalized energy value set; The normalized energy value set is subjected to an entropy value determination to generate a wavelet packet energy entropy.

5. The method of claim 1, wherein, The safety alarm and repair operation according to the breach position leakage rate level includes: In response to determining that the breach position leakage rate level is a high priority level, a repair work order is generated for the breach position corresponding to the breach position leakage rate level to generate a repair work order, and the repair work order is sent to a repair personnel; In response to determining that the repair personnel receives the repair work order, a safety alarm and repair operation is performed on the breach position.

6. A pipe leak detection device for use in a high pressure heater, for use in a method as claimed in any one of claims 1 to 5, characterised in that, It includes: The acquisition unit is configured to acquire an original leakage acoustic emission signal of the outer wall of the high-pressure heater, wherein the original leakage acoustic emission signal is an elastic wave generated by the inner tube leakage of the high-pressure heater propagating to the outer wall along the metal wall, and the original leakage acoustic emission signal includes a leakage acoustic emission signal, low-frequency mechanical noise and electromagnetic interference; The filtering processing unit is configured to perform filtering processing on the original leakage acoustic emission signal to generate a processed leakage acoustic emission signal; The first determination unit is configured to determine the root mean square value of the processed leakage acoustic emission signal to generate a leakage acoustic emission signal root mean square value, wherein the leakage acoustic emission signal root mean square value represents the energy of the processed leakage acoustic emission signal; The positioning unit is configured to, in response to determining that the leakage acoustic emission signal root mean square value is greater than a preset numerical threshold, perform leakage positioning on the leakage breach of the high-pressure heater according to the processed leakage acoustic emission signal to generate a high-pressure heater leakage breach position, wherein the leakage positioning on the leakage breach of the high-pressure heater to generate the high-pressure heater leakage breach position includes: In response to determining that the leakage acoustic emission signal root mean square value is greater than a preset numerical threshold, the processed leakage acoustic emission signal is subjected to frame sampling to generate signal sampling points; According to the signal sampling points, a peak frequency is determined; The wavelet packet energy entropy determination on the processed leakage acoustic emission signal is performed to generate a wavelet packet energy entropy; In response to determining that the wavelet packet energy entropy, the peak frequency and the leakage acoustic emission signal root mean square value all satisfy a preset leakage condition, the leakage breach of the high-pressure heater is subjected to leakage positioning to generate a high-pressure heater leakage breach position; The second determining unit is configured to determine a leakage rate level of the leakage position according to the leakage position of the high-pressure heater, wherein the determination of the leakage rate level of the leakage position according to the leakage position of the high-pressure heater comprises: mapping a three-dimensional coordinate corresponding to the leakage position of the high-pressure heater to a preset built-in grid of the high-pressure heater to obtain a leakage grid number; calling a grid snapshot of the leakage grid number, wherein the grid snapshot comprises a leakage hole wall thickness, a stress and a temperature; determining a leakage hole area according to the grid snapshot; inputting the leakage hole area into a transient leakage rate model to obtain a transient leakage rate; correcting the transient leakage rate to generate a final leakage rate; inputting the final leakage rate into a preset risk matrix to obtain a risk matrix coordinate; performing drift correction on the risk matrix coordinate and a grid aging coefficient to obtain a drift-after-level code; and mapping the drift-after-level code to the leakage rate level of the leakage position. The executing unit is configured to perform a safety alarm and a maintenance operation according to the leakage rate level of the leakage position.

7. An electronic device, comprising: The method comprises: one or more processors; a storage device having one or more programs stored thereon; when the one or more programs are executed by the one or more processors, the one or more processors implement the method of any one of claims 1 to 5.

8. A computer readable medium characterized by a computer program is stored thereon, wherein the computer program is executed by a processor to implement the method of any one of claims 1 to 5.

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