Pipeline leakage detection method and device applied to high-pressure heater

Abstract

The embodiment of the invention discloses a pipeline leakage detection method and device applied to a high-pressure heater. One specific embodiment of the method comprises the following steps: acquiring an original leakage acoustic emission signal of the outer wall of the high-pressure heater; filtering 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 root-mean-square value of the leakage acoustic emission signal is greater than a preset numerical threshold value, performing leakage positioning on a leakage crevasse of the high-pressure heater according to the processed leakage acoustic emission signal so as to generate a leakage crevasse position of the high-pressure heater; according to the leakage crevasse position of the high-pressure heater, the leakage rate grade of the crevasse position is determined; and according to the leakage rate grade of the crevasse position, executing safety alarm and maintenance operation. According to the embodiment, the pipeline leakage rate of the high-pressure heater is reduced, and the safety of the high-pressure heater is improved.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of computer technology, and more particularly to a pipeline leakage detection method and apparatus applied to a high-pressure heater. Background Art

[0002] The pipeline leakage detection applied to high-pressure heaters is a technology for detecting pipeline leakage of high-pressure heaters. At present, the method commonly used for pipeline leakage detection is: detecting pipeline leakage through manual inspection.

[0003] However, when using the above method to detect pipeline leaks, the following technical problems often occur: Since the elastic wave energy in the early stage of leakage is low and easily masked by pump noise, manual inspections cannot detect the location of the leakage in time, resulting in the leakage rupture not being able to receive safety warnings and repairs in time, leading to an increase in the pipeline leakage rate of the high-pressure heater and a reduction in the safety of the high-pressure heater. Summary of the Invention

[0004] The content of this disclosure is used to briefly introduce concepts that will be described in detail in the detailed description section below. The content of this disclosure is not intended to identify key features or essential features of the claimed technical solution, nor is it intended to limit the scope of the claimed technical solution.

[0005] Some embodiments of the present disclosure provide a pipeline leakage detection method and apparatus for a high-pressure heater to solve the technical problems mentioned in the above background technology section.

[0006] In a first aspect, some embodiments of the present disclosure provide a pipeline leakage detection method applied to a high-pressure heater, the method comprising: collecting an original leakage acoustic emission signal from the outer wall of the high-pressure heater, wherein the original leakage acoustic emission signal is a signal of elastic waves generated by leakage of the inner tube of the high-pressure heater propagating along the metal wall to the outer wall; filtering the original leakage acoustic emission signal to generate a processed leakage acoustic emission signal; determining a root mean square value of the processed leakage acoustic emission signal to generate a root mean square value of the leakage acoustic emission signal, wherein the root mean square value of the leakage acoustic emission signal represents the energy of the processed leakage acoustic emission signal; in response to determining that the root mean square value of the leakage acoustic emission signal is greater than a preset numerical threshold, locating the leakage breach of the high-pressure heater according to the processed leakage acoustic emission signal to generate a leakage breach position of the high-pressure heater; determining a leakage rate level of the breach position according to the leakage breach position of the high-pressure heater; and performing safety alarm and maintenance operations according to the leakage rate level of the breach position.

[0007] In a second aspect, some embodiments of the present disclosure provide a pipeline leakage detection device for a high-pressure heater, the device comprising: a collection unit configured to collect an original leakage acoustic emission signal from the outer wall of the high-pressure heater, wherein the original leakage acoustic emission signal is a signal of an elastic wave generated by leakage of an inner tube of the high-pressure heater propagating along the metal wall to the outer wall; a filtering processing unit configured to filter the original leakage acoustic emission signal to generate a processed leakage acoustic emission signal; a first determination unit configured to determine a root mean square value of the processed leakage acoustic emission signal to generate a leakage acoustic emission signal. a root mean square value of the leakage acoustic emission signal, wherein the root mean square value of the leakage acoustic emission signal represents the energy of the processed leakage acoustic emission signal; a positioning unit is configured to, in response to determining that the root mean square value of the leakage acoustic emission signal is greater than a preset numerical threshold, locate the leakage breach of the high-voltage heater according to the processed leakage acoustic emission signal to generate a leakage breach position of the high-voltage heater; a second determining unit is configured to determine a breach position leakage rate level according to the high-voltage heater breach position; and an executing unit is configured to execute a safety alarm and maintenance operation according to the breach position leakage rate level.

[0008] In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by one or more processors, the one or more processors implement the method described in any implementation of the first aspect above.

[0009] 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 implementation of the first aspect is implemented.

[0010] The aforementioned embodiments of the present disclosure have the following beneficial effects: The pipeline leakage detection methods for high-pressure heaters according to some embodiments of the present disclosure reduce the pipeline leakage rate of high-pressure heaters and improve the safety of the high-pressure heaters. Specifically, the increased pipeline leakage rate and reduced safety of the high-pressure heaters are caused by the fact that the elastic wave energy in the early stages of a leak is low and easily masked by pump noise. Manual inspections are unable to promptly detect the location of the leak breach, resulting in a delay in providing a safety warning and repairing the leak breach. This increases the pipeline leakage rate and reduces the safety of the high-pressure heaters. Based on this, the pipeline leakage detection methods for high-pressure heaters according to some embodiments of the present disclosure first collect a raw leakage acoustic emission signal from the outer wall of the high-pressure heater. The raw leakage acoustic emission signal is the signal generated by the elastic wave generated by the leaking inner tube of the high-pressure heater propagating along the metal wall to the outer wall. Thus, the raw leakage acoustic emission signal can be collected using an acoustic emission sensor, avoiding the problem of manual inspections failing to promptly detect the location of the leak breach due to the low elastic wave energy in the early stages of a leak being easily masked by pump noise. The raw leakage acoustic emission signal is then filtered to generate a processed leakage acoustic emission signal. This allows for noise reduction of the original leakage acoustic emission signal, removing pump noise and facilitating subsequent processing. Subsequently, the RMS value of the processed leakage acoustic emission signal is determined to generate a RMS value, where the RMS value represents the energy of the processed leakage acoustic emission signal. This allows for quantification of the processed leakage acoustic emission signal to identify the location of the leak. Next, in response to determining that the RMS value of the leakage acoustic emission signal is greater than a preset threshold, the leak rupture of the high-pressure heater is located based on the processed leakage acoustic emission signal to generate a leak rupture location. This allows for timely detection of the leak rupture location, prompting a safety alert and repair, reducing the pipeline leakage rate of the high-pressure heater and improving its safety. The leak rupture location is then determined based on the leak rupture location. This allows for the determination of the leak rate level of the leak rupture location. Finally, a safety alert and repair operation are performed based on the leak rate level of the leak rupture location. This reduces the pipeline leakage rate of the high-pressure heater and improves its safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The above and other features, advantages, and aspects of the various embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0012] 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; 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; 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; Figure 4 is a structural schematic diagram of an electronic device suitable for implementing some embodiments of the disclosure; 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; 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

[0013] Embodiments of the disclosure will be described below in greater detail 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 enable a more thorough and complete understanding of the disclosure. 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.

[0014] In addition, it should be 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.

[0015] 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.

[0016] 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 the context clearly indicates otherwise, it should be understood as "one or more".

[0017] 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.

[0018] The disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0019] 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.

[0020] In the application scenario of Figure 1 , first, the water vapor inlet 101 of the high-pressure heater 100 is regulated by the pressure valve 108, and the pressure valve pressure table 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 is listed as 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. 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 table 106 is used to display the pressure data of the pressure reducing valve 107.

[0021] 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: Step 201, collecting the original leakage acoustic emission signal of the outer wall of the high-pressure heater.

[0022] In some embodiments, the execution 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.

[0023] 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 pump, valve. The above-mentioned low-frequency mechanical noise can also refer to the noise generated by the turbulent flow of the 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.

[0024] As an example, the above-mentioned execution subject can collect the original leakage acoustic emission signal of the outer wall of the high-pressure heater through the acoustic emission sensor. The above-mentioned acoustic emission sensor can refer to AE sensor. For example, when the inner tube of the high-pressure heater leaks, the high-speed fluid will impact the pipe wall, the pipe wall generates acoustic transient elastic wave propagating to the outer wall surface, causing the acoustic emission sensor to deform, thereby collecting the original leakage acoustic emission signal.

[0025] It should be noted that the above wireless connection methods may include but are not limited to 3G / 4G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other wireless connection methods currently known or to be developed in the future.

[0026] Step 202: filter the original leakage acoustic emission signal to generate a processed leakage acoustic emission signal.

[0027] In some embodiments, the execution entity may filter the original leakage acoustic emission signal to generate a processed leakage acoustic emission signal.

[0028] Here, the processed leakage acoustic emission signal may be a leakage acoustic emission signal after the low-frequency mechanical noise is removed.

[0029] As an example, the execution subject may filter the original leakage acoustic emission signal using a bandpass filter to generate a processed leakage acoustic emission signal. The bandpass filter may be a 20 kHz-200 kHz bandpass filter.

[0030] Step 203 : determining a root mean square value of the processed leakage acoustic emission signal to generate a root mean square value of the leakage acoustic emission signal.

[0031] In some embodiments, the execution entity may determine a root mean square value of the processed leakage acoustic emission signal to generate a root mean square value of the leakage acoustic emission signal, wherein the root mean square value of the leakage acoustic emission signal represents the energy of the processed leakage acoustic emission signal.

[0032] Here, the RMS value may refer to the quadratic mean. For example, assuming that the 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, for x 2 The average is calculated as mean(x²) = (0.01 + 0.0225 + 0.09 + 0.04 + 0.0625 + 0.16 + 0.0025 + 0.0225) / 8 = 0.05125. Finally, the square root of mean(x²) is approximately 0.226. This means the RMS value of the leak AE signal is 0.226V, representing the energy of this segment.

[0033] In step 204 , in response to determining that the root mean square value of the leakage acoustic emission signal is greater than a preset threshold, the leakage breach of the high-voltage heater is located according to the processed leakage acoustic emission signal to generate a leakage breach position of the high-voltage heater.

[0034] In some embodiments, the execution entity may, in response to determining that the root mean square value of the leakage acoustic emission signal is greater than a preset numerical threshold, locate the leakage breach of the high-voltage heater according to the processed leakage acoustic emission signal to generate the leakage breach position of the high-voltage heater.

[0035] Here, the preset numerical threshold may refer to a preset maximum value of a root mean square value. The leakage breach may refer to a breach that causes leakage.

[0036] Optionally, the execution entity may perform the following steps in response to determining that the root mean square value of the leakage acoustic emission signal is greater than a preset numerical threshold, and locate the leakage breach of the high-voltage heater according to the processed leakage acoustic emission signal to generate the leakage breach position of the high-voltage heater: In the first step, in response to determining that the root mean square value of the leakage acoustic emission signal is greater than a preset numerical threshold, frame sampling is performed on the processed leakage acoustic emission signal to generate signal sampling points.

[0037] Here, the signal sampling points may refer to all voltage values ​​in each frame after the 1-second-long "processed leakage acoustic emission signal" is cut into multiple frames.

[0038] As an example, the execution entity may perform frame sampling on the processed leakage acoustic emission signal at a sampling rate of 2 MHz to generate signal sampling points. For example, the signal sampling points for a 1-second period are 2,000,000 points. If each frame has 8,192 points, then the 8,192 voltage values ​​of the first frame are the signal sampling points of the first frame.

[0039] The second step is to determine the peak frequency based on the above signal sampling points.

[0040] Optionally, the execution entity may determine the peak frequency according to the signal sampling points through the following steps: The first sub-step is to perform sampling point framing on the above signal sampling points to generate a framed sampling point set.

[0041] As an example, the execution entity may frame the signal sampling points according to a preset frame length to generate a frame sampling point set. The preset frame length may refer to a pre-set length of a frame. For example, the preset frame length may refer to 8192 points.

[0042] The second sub-step is to perform Hanning window determination on the frame sampling point set to generate a Hanning window.

[0043] Here, the Hanning window may refer to w=hanning(8192). The value of the Hanning window is between 0 and 1.

[0044] The third sub-step is to generate a frequency interval according to the frame sampling point set, the Hanning window and the signal sampling point.

[0045] As an example, the execution entity may perform a Fast Fourier Transform (FFT) on the Hanning window to obtain complex frequency domain data. The complex frequency domain data consists of 8192 complex frequency points. The complex frequency points can be sinusoidal waves with both amplitude and phase. The complex frequency domain data is then amplitude-converted to obtain a single-sided amplitude spectrum. The amplitude is converted to a double-sided amplitude and then to a single-sided amplitude, then divided by the number of points and multiplied by 2. The single-sided amplitude spectrum is then frequency-axis-established to obtain a frequency sequence. For example, the frequency sequence may be 0-1.9998 MHz. Finally, the frequency sequence is truncated to obtain a frequency interval. For example, the frequency interval is 20 kHz-200 kHz.

[0046] The fourth sub-step is to determine the maximum frequency value corresponding to the frequency interval as the peak frequency.

[0047] The third step is to determine the wavelet packet energy entropy of the leakage acoustic emission signal after the above processing to generate the wavelet packet energy entropy.

[0048] Optionally, the execution entity may determine the wavelet packet energy entropy of the processed leakage acoustic emission signal through the following steps to generate the wavelet packet energy entropy: The first sub-step is to perform wavelet packet decomposition of a preset number of layers on the leakage acoustic emission signal after the processing to generate a wavelet packet sub-band set.

[0049] Here, the preset number of layers may be 4. The wavelet packet sub-band set includes 16 wavelet packet sub-bands.

[0050] As an example, the execution entity may divide the processed leakage acoustic emission signal into a predetermined number of layers to generate a wavelet packet subband set.

[0051] In the second sub-step, an energy value is determined for each wavelet packet sub-band in the wavelet packet sub-band set to generate an energy value and obtain an energy value set.

[0052] As an example, the execution entity may square and sum all points in each wavelet packet subband in the wavelet packet subband set to generate an energy value, thereby obtaining an energy value set. For example, the 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 (this is example data). The energy value in the energy value set is proportional to the strength of the leakage acoustic emission signal; that is, a larger energy value indicates a stronger leakage acoustic emission signal. The range of the energy values ​​in the energy value set is not limited.

[0053] The third sub-step is to normalize each energy value in the energy value set to generate a normalized energy value set.

[0054] As an example, the execution entity may divide each energy value in the energy value set by the sum of each energy value in the energy value set to obtain a normalized energy value set.

[0055] The fourth sub-step is to determine the entropy value of the normalized energy value set to generate wavelet packet energy entropy.

[0056] As an example, the execution entity may perform Shannon entropy determination on the normalized energy value set to generate wavelet packet energy entropy. For example, the wavelet packet energy entropy is 1.05.

[0057] In the 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 meet the preset leakage conditions, the leakage breach of the high-voltage heater is leak located to generate the leakage breach position of the high-voltage heater.

[0058] Here, the preset leakage condition may refer to the preset conditions of "a peak frequency between 30kHz and 40kHz, a wavelet packet energy entropy less than 1.5, and a root mean square value of the leakage acoustic emission signal greater than a preset numerical threshold." Upon determining the wavelet packet energy entropy, the peak frequency and the root mean square value of the leakage acoustic emission signal both satisfying the preset leakage conditions, indicating a high-voltage heater leak.

[0059] In the process of adopting technical solutions to solve the problems mentioned in the background technology, the following problems often arise: Since the high-pressure heater is in the shape of a three-dimensional cylinder, it is difficult to obtain the coordinates of the leakage breach on the outer wall of the high-pressure heater. Manual inspection results in large errors in the location of the leakage breach of the high-pressure heater, which leads to errors in the inspection and repair of the leakage breach, resulting in reduced safety of the high-pressure heater. Faced with the above technical problems, the inventors decided to adopt the following solutions: Optionally, the execution subject can perform leak positioning on the leak opening of the high-pressure heater in response to determining that the wavelet packet energy entropy, the peak frequency, and the RMS value of the leak emission signal all satisfy the preset leak condition, to generate a high-pressure heater leak opening position: First, determine the outer wall length between the pressurizing valve and the pressure reducing valve of the high-pressure heater.

[0060] 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 respectively located at the two ends of the high-pressure heater. As shown in the figure. Figure 1

[0061] 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 through a measuring tool. The measuring tool can refer to a laser range finder. For example, the outer wall length can be 12 m.

[0062] 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.

[0063] Here, the preset pressure can refer to a pressure set in advance. For example, the preset pressure can refer to a pressure set in advance of 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 speed set in advance of 5900 m / s.

[0064] Third, in response to determining that the test pulse reaches the leak opening, control the pressurizing valve pressure gauge of the pressurizing valve to determine the time, to generate a test pulse arrival time.

[0065] 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 by the test pulse to reach the leak opening. For example, the test pulse arrival time can be 1.8 ms.

[0066] Fourth, in response to determining that the test pulse is reflected to the leak opening, control the pressurizing valve pressure gauge of the pressurizing valve to determine the time, to generate a test pulse reflection time.

[0067] Here, the test pulse reflection time represents the time taken by the test pulse to reach the right side from the left side of the high-pressure heater and then be reflected to the leak opening from the right side. For example, the test pulse reflection time is 2.2 ms.

[0068] ​Fifthly, the test pulse time difference is determined according to the test pulse reflection time and the test pulse arrival time.

[0069] For example, the test pulse time difference is (2.2ms-1.8ms) / 2=0.2ms.

[0070] Sixthly, the leak hole transverse position coordinate is generated according to the test pulse time difference, the preset speed and the outer wall length.

[0071] For example, the leak hole transverse position coordinate is (12m-5900m / s×0.3ms) / 2=5.11m, 12m-5.11m=6.89m. That is, the distance from the leak hole to the left side of the high-pressure heater is 6.89m, and the distance to the right side is 5.11m.

[0072] Seventhly, the leak hole longitudinal position coordinate is generated according to the preset longitudinal sensor array.

[0073] Here, the preset longitudinal sensor array can refer to arranging a preset number of acoustic emission sensors on the longitudinal cutting surface of the high-pressure heater. The preset number can refer to 4.

[0074] For example, the executing body can control each longitudinal sensor in the longitudinal sensor array to perform leak acoustic detection to generate a leak acoustic set. The position where the maximum leak acoustic in the leak acoustic set is located is determined as the leak hole longitudinal position coordinate. For example, the sensor arrangement is: one acoustic emission sensor is arranged every 1m along the width of the high-pressure heater, numbered S1(0m), S2(1m), S3(2m), S4(3m). The leak acoustic set can refer to {S1=42dB, S2=48dB, S3=65dB, S4=50dB}. The maximum acoustic level is at S3, so the leak hole longitudinal position coordinate=2m. As shown in FIG. 4. S1, S2, S3, S4 are longitudinal sensor arrays. Figure 5

[0075] Eighthly, the high-pressure heater leak hole position is obtained by coordinate marking the high-pressure heater according to the leak hole transverse position coordinate and the leak hole longitudinal position coordinate.

[0076] ​As an example, the execution subject may use a marking tool to mark the horizontal position coordinates and the vertical position coordinates of the leakage rupture on the outer wall of the high-voltage heater to obtain the leakage rupture position of the high-voltage heater. The marking tool may be Doccano. Figure 5 As shown, the intersection of the dashed lines is the location of the high-pressure heater leakage (x1, y1). The horizontal and vertical coordinates of the leakage are marked as x1 and y1, respectively. The middle of the high-pressure heater's outer wall is the x-axis, and the midpoint of the left side of the high-pressure heater's outer wall is the y-axis.

[0077] The relevant content of steps 1-8 described above, as an inventive feature of this disclosure, addresses the following technical issue: "Reduced safety of the high-pressure heater." Factors that often lead to errors during repair of leaks and reduced safety of the high-pressure heater include: Due to the three-dimensional cylindrical shape of the high-pressure heater, the coordinates of the leak on the outer wall of the high-pressure heater are difficult to obtain. Manual inspections result in large errors in the location of the leak, leading to errors during repair and reduced safety. Addressing these factors can improve the safety of the high-pressure heater. To achieve this, first, the outer wall length between the pressurizing valve and the pressure reducing valve of the high-pressure heater is determined. In response to determining that the pressure reducing valve is closed, a test pulse of a preset pressure is injected into the pressurizing valve, propagating through the high-pressure heater at a preset speed. This facilitates subsequent processing. In response to determining that the test pulse has reached the leak, a pressure gauge of the pressurizing valve is controlled to determine the time of arrival of the test pulse. In response to determining that the test pulse is reflected at the leak, a pressure gauge of the pressurizing valve is controlled to determine the time to generate the test pulse reflection time. A test pulse time difference is determined based on the test pulse reflection time and the test pulse arrival time. This eliminates manual inspections and allows for more accurate determination of the coordinates of the leak on the outer wall of the high-pressure heater. The lateral position coordinates of the leak are generated based on the test pulse time difference, the preset speed, and the length of the outer wall. A longitudinal sensor array is provided along the length of the outer wall to generate a longitudinal sensor array. This allows for the longitudinal coordinates of the leak to be determined, ensuring a unique location for the leak. The longitudinal position coordinates of the leak are generated based on the longitudinal sensor array. Based on the lateral and longitudinal coordinates of the leak, the high-pressure heater is coordinate-annotated to determine the location of the leak. This allows for inspection of only the identified leak location, thereby reducing the inspection area and time. This improves the safety of the high-pressure heater.

[0078] Step 205, according to the above high-pressure heater leak hole position, determine the leak rate grade of the hole position.

[0079] In some embodiments, the above execution subject can determine the leak rate grade of the hole position according to the above high-pressure heater leak hole position.

[0080] Optionally, the above execution subject can determine the leak rate grade of the hole position according to the above high-pressure heater leak hole position by the following steps: First, determine the leak rate of the above high-pressure heater leak hole position to generate the leak rate of the hole position.

[0081] As an example, the above execution subject can determine the leak rate of the above high-pressure heater leak hole position by the GPU-CFD fast simulator to generate the leak rate of the hole position.

[0082] Second, according to the preset leak rate grade, determine the grade of the above leak rate of the hole position to generate the leak rate grade of the hole position.

[0083] Optionally, the above execution subject can determine the leak rate grade of the hole position according to the above high-pressure heater leak hole position by the following steps: First, map the three-dimensional coordinates corresponding to the above high-pressure heater leak hole position to the high-pressure heater preset built-in grid to obtain the leak hole grid number.

[0084] Here, the above preset built-in grid can refer to a 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 above high-pressure heater leak hole position are mapped to the high-pressure heater preset 1cm×1cm×1cm grid to obtain a unique GridID=“G127-045-018”.

[0085] Second, call the grid snapshot of the above leak hole grid number, wherein the above grid snapshot includes: leak hole wall thickness, stress and temperature.

[0086] Here, the above leak hole wall thickness can be 18.4mm. The above stress can be 82MPa, and the above temperature can be 215 degrees Celsius. The above grid snapshot is obtained by cutting the whole high-pressure heater into multiple 1cm³ 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.

[0087] Third, determine the hole area according to the above grid snapshot.

[0088] Here, the above hole area can refer to the effective cross-sectional area of the leak hole.

[0089] As an example, the execution subject can first read the current acoustic emission peak amplitude, and then divide the leak opening wall thickness in the grid snapshot by the current acoustic emission peak amplitude to obtain the opening area.

[0090] Fourthly, the opening area is input into a transient leakage rate model to obtain a transient leakage rate.

[0091] 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.

[0092] As an example, the execution subject can input the opening area into a 1s GPU-CFD fast simulator to obtain a transient leakage rate. The 1s GPU-CFD can refer to a GPU fluid simulator that runs in 1 second.

[0093] Fifthly, the transient leakage rate is corrected to generate a final leakage rate.

[0094] As an example, the execution subject can multiply the transient leakage rate by a preset correction factor to obtain the final leakage rate. The preset correction factor can refer to 0.95.

[0095] Sixthly, the final leakage rate and the inventory days are input into a preset risk matrix to obtain a risk matrix coordinate.

[0096] Here, the preset risk matrix can refer to a 3x3 matrix that is set in advance, wherein the rows of the preset risk matrix represent the final leakage rate, and the columns of the preset risk matrix represent the inventory days. The inventory days can refer to the number of days required for the current spare parts inventory to complete a leakage maintenance. For example, there are 3 blind plates in the inventory, and the average maintenance takes 1 day, so the inventory days = 3. The preset risk matrix is shown in Figure 6 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 maintenance 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 maintenance temporarily. For example, the final leakage rate Q_f = 97.9 L / h, and the inventory days d = 2 days, which are input into the preset risk matrix to fall in "Y2", i.e. the risk matrix coordinate.

[0097] In the seventh step, the above risk matrix coordinates and grid aging coefficients are drift-corrected to obtain the drifted grade code.

[0098] Here, the grid aging coefficient may refer to the drift of the risk level due to the grid service life. For example, the grid aging coefficient may be 0.02.

[0099] As an example, the execution entity may multiply the risk matrix coordinates by the grid aging coefficient, and then add the multiplication result to 1 to obtain the post-drift grade code.

[0100] In the eighth step, the drifted grade code is mapped to the leakage rate grade of the breach position.

[0101] The relevant content of steps 1-8, as an inventive feature of this disclosure, addresses the following technical problem: "response time at the repair rupture location is too early or too late." Factors that often lead to premature or delayed response times at the repair rupture location, thus reducing the safety of the high-pressure heater, include the following: Since the leakage at the high-pressure heater rupture location cannot be quantified, the leakage rate level at the rupture location cannot be determined. This results in premature or delayed response times at the repair rupture location, thus reducing the safety of the high-pressure heater. Addressing these factors can improve the safety of the high-pressure heater. To achieve this, in step 1, the three-dimensional coordinates corresponding to the high-pressure heater rupture location are mapped to a preset built-in grid of the high-pressure heater to obtain a mesh number for the leak rupture location. In step 2, a mesh snapshot of the leak rupture location is retrieved, where the mesh snapshot includes the wall thickness, stress, and temperature of the leak rupture location. In step 3, the rupture area is determined based on the mesh snapshot. In step 4, the rupture area is input into a transient leakage rate model to obtain a transient leakage rate. Thus, the leakage at the high-pressure heater rupture location is quantified using the leakage rate. The fifth step is to correct the above-mentioned transient leakage rate to generate the final leakage rate. The sixth step is to input the above-mentioned final leakage rate into the preset risk matrix to obtain the risk matrix coordinates. Therefore, the rupture position can be repaired in time, thereby improving the safety of the high-voltage heater. The seventh step is to perform drift correction on the above-mentioned risk matrix coordinates and the grid aging coefficient to obtain the drifted grade code. The eighth step is to map the above-mentioned drifted grade code to the leakage rate grade of the rupture position. Therefore, the leakage amount of the rupture position of the high-voltage heater is quantified by the leakage rate, thereby determining the leakage rate grade of the rupture position, enabling timely repair of the rupture position, thereby improving the safety of the high-voltage heater.

[0102] Step 206: Execute safety warning and maintenance operations according to the leakage rate level of the breach position.

[0103] In some embodiments, the execution entity may perform safety warning and maintenance operations according to the leakage rate level of the breach location.

[0104] Optionally, the execution entity may perform safety warning and maintenance operations according to the leakage rate level of the breach position through the following steps: In the first step, in response to determining that the leakage rate level of the rupture location is a high priority level, a maintenance work order is generated for the rupture location corresponding to the leakage rate level of the rupture location, so as to generate a maintenance work order, and send the maintenance work order to the maintenance personnel.

[0105] Here, the above maintenance work order may refer to a task order for repairing the breach location. For example, the above maintenance work order may refer to {coordinates: G81-22-02, leakage rate: 97.9 L / h, risk: high priority, spare part: 1 blind plate}.

[0106] In the second step, in response to determining that the maintenance personnel have received the maintenance work order, a safety alarm and maintenance operation are performed on the breach location.

[0107] As an example, the execution subject may, in response to determining that the maintenance personnel has received the maintenance work order, perform a red light alarm process on the breach location and execute a valve closing operation.

[0108] Further references Figure 3 As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a pipeline leakage detection device for a high-pressure heater. These device embodiments are similar to Figure 2 Corresponding to the method embodiments shown, the pipeline leakage detection device applied to the high-pressure heater can be specifically applied to various electronic devices.

[0109] like Figure 3As shown, some embodiments of the pipeline leakage detection device 300 applied to the high-pressure heater include: 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. 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 a signal of the elastic wave generated by the leakage of the inner pipe of the high-pressure heater propagating along the metal wall to the outer wall; the filtering processing unit 302 is configured to filter 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 root mean square value of the leakage acoustic emission signal, wherein the leakage acoustic emission signal The root mean square value of the signal represents the energy of the leakage acoustic emission signal after the processing; the positioning unit 304 is configured to, in response to determining that the root mean square value of the leakage acoustic emission signal is greater than a preset numerical threshold, locate the leakage breach of the high-voltage heater according to the leakage acoustic emission signal after the processing, so as to generate the leakage breach position of the high-voltage heater; the second determination unit 305 is configured to determine the breach position leakage rate level according to the leakage breach position of the high-voltage heater; the execution unit 306 is configured to execute safety alarm and maintenance operations according to the breach position leakage rate level.

[0110] It is understood that the units described in the pipeline leakage detection device 300 for high pressure heater are similar to those in the reference Figure 2 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the pipeline leakage detection device 300 applied to the high-pressure heater and the units included therein, and will not be described in detail here.

[0111] Reference below Figure 4 , which shows a structural schematic diagram of an electronic device (eg, a computing device) suitable for implementing some embodiments of the present disclosure. Figure 4 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present disclosure. Figure 4As shown, the computer device includes a processor, a memory and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory. The non-volatile storage medium may store an operating system and a computer program. The computer program includes program instructions, which, when executed, may enable the processor to execute 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 operation of the computer program in the non-volatile storage medium, which, when executed by the processor, may enable the processor to execute any of the above methods. The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 4 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present disclosure, and does not constitute a limitation on the computer device to which the solution of the present disclosure is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0112] It should be understood that the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0113] In one embodiment, the processor is configured to execute a computer program stored in a memory to implement the following steps: collecting an original leakage acoustic emission signal from an outer wall of the high-pressure heater, wherein the original leakage acoustic emission signal is a signal of elastic waves generated by leakage from an inner tube of the high-pressure heater propagating along the metal wall to the outer wall; filtering the original leakage acoustic emission signal to generate a processed leakage acoustic emission signal; determining a root mean square value of the processed leakage acoustic emission signal to generate a root mean square value of the leakage acoustic emission signal, wherein the root mean square value of the leakage acoustic emission signal represents the energy of the processed leakage acoustic emission signal; in response to determining that the root mean square value of the leakage acoustic emission signal is greater than a preset numerical threshold, locating the leakage breach of the high-pressure heater based on the processed leakage acoustic emission signal to generate a leakage breach position of the high-pressure heater; determining a leakage rate level at the breach position based on the leakage breach position of the high-pressure heater; and performing safety alarm and maintenance operations based on the leakage rate level at the breach position.

[0114] An embodiment of the present disclosure further provides a computer-readable storage medium, on which a computer program is stored. The computer program includes program instructions. The method implemented when the program instructions are executed can refer to the various embodiments of the pipeline leakage detection method applied to a high-pressure heater described above in the present disclosure.

[0115] The computer-readable storage medium may be an internal storage unit of the computer device described in the aforementioned embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a flash memory card, etc., provided on the computer device.

[0116] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0117] The above descriptions are merely some preferred embodiments of the present disclosure and illustrate the underlying technical principles. Those skilled in the art should understand that the scope of the invention encompassed by the embodiments of the present disclosure is not limited to technical solutions formed by specific combinations of the aforementioned technical features. It also encompasses other technical solutions formed by any combination of the aforementioned technical features or their equivalents, without departing from the aforementioned inventive concept. For example, a technical solution formed by replacing the aforementioned features with (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A pipeline leakage detection method applied to a high-pressure heater, characterized in that: include: Collecting an original leakage acoustic emission signal from the outer wall of the high-voltage heater, wherein the original leakage acoustic emission signal is a signal of elastic waves generated by leakage from the inner tube of the high-voltage heater propagating along the metal wall to the outer wall; performing filtering processing on the original leakage acoustic emission signal to generate a processed leakage acoustic emission signal; Determining a root mean square value of the processed leakage acoustic emission signal to generate a root mean square value of the leakage acoustic emission signal, wherein the root mean square value of the leakage acoustic emission signal represents the energy of the processed leakage acoustic emission signal; In response to determining that the root mean square value of the leakage acoustic emission signal is greater than a preset numerical threshold, leak locating the leakage breach of the high-voltage heater based on the processed leakage acoustic emission signal to generate a leakage breach position of the high-voltage heater; Determining the leakage rate level of the rupture location according to the leakage rupture location of the high-pressure heater; Safety warning and maintenance operations are performed according to the leakage rate level of the rupture position.

2. The method according to claim 1, characterized in that In response to determining that the root mean square value of the leakage acoustic emission signal is greater than a preset numerical threshold, locating the leakage breach of the high-voltage heater according to the processed leakage acoustic emission signal to generate a leakage breach position of the high-voltage heater includes: In response to determining that the root mean square value of the leakage acoustic emission signal is greater than a preset numerical threshold, frame sampling the processed leakage acoustic emission signal to generate signal sampling points; Determining the peak frequency according to the signal sampling point; performing wavelet packet energy entropy determination on the processed leakage acoustic emission signal to generate wavelet packet energy entropy; 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 meet preset leakage conditions, the leakage breach of the high-voltage heater is leak located to generate a high-voltage heater leakage breach position.

3. The method according to claim 2, characterized in that Determining the peak frequency according to the signal sampling point includes: framing the signal sampling points to generate a framed sampling point set; Performing Hanning window determination on 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; The maximum frequency value corresponding to the frequency interval is determined as the peak frequency.

4. The method according to claim 1, wherein Determining the leakage rate level of the breach position according to the leakage breach position of the high-pressure heater includes: Determining the leakage rate of the high-pressure heater leakage breach position to generate a breach position leakage rate; The leakage rate at the rupture location is graded according to a preset leakage rate grade to generate a leakage rate grade at the rupture location.

5. The method according to claim 2, characterized in that The determining of the wavelet packet energy entropy of the processed leakage acoustic emission signal to generate the wavelet packet energy entropy includes: performing a preset number of wavelet packet decomposition on the processed leakage acoustic emission signal to generate a wavelet packet subband set; determining an energy value for each wavelet packet subband in the wavelet packet subband set to generate an energy value and obtain an energy value set; Normalizing each energy value in the energy value set to generate a normalized energy value set; An entropy value is determined on the normalized energy value set to generate wavelet packet energy entropy.

6. The method according to claim 1, characterized in that The performing of safety warning and maintenance operations according to the leakage rate level of the breach position includes: In response to determining that the leakage rate level of the breach position is a high priority level, generating a maintenance work order for the breach position corresponding to the leakage rate level of the breach position to generate a maintenance work order, and sending the maintenance work order to a maintenance personnel; In response to determining that the maintenance personnel has received the maintenance work order, a safety alarm and maintenance operation is performed on the breach location.

7. A pipeline leakage detection device applied to a high-pressure heater, characterized in that: include: a collection unit configured to collect an original leakage acoustic emission signal from the outer wall of the high-voltage heater, wherein the original leakage acoustic emission signal is a signal of an elastic wave generated by leakage from an inner tube of the high-voltage heater propagating along the metal wall to the outer 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 determining unit configured to determine a root mean square value of the processed leakage acoustic emission signal to generate a root mean square value of the leakage acoustic emission signal, wherein the root mean square value of the leakage acoustic emission signal represents the energy of the processed leakage acoustic emission signal; a positioning unit configured to, in response to determining that a root mean square value of the leakage acoustic emission signal is greater than a preset numerical threshold, locate the leakage breach of the high-voltage heater based on the processed leakage acoustic emission signal to generate a leakage breach position of the high-voltage heater; a second determining unit configured to determine a leakage rate level of a breach location according to a leakage breach location of the high-pressure heater; The execution unit is configured to execute safety warning and maintenance operations according to the leakage rate level of the rupture position.

8. An electronic device, characterized in that: include: 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 according to any one of claims 1 to 6.

9. A computer-readable medium, characterized in that A computer program is stored thereon, wherein when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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