Fluid line system diaphragm valve failure adaptive identification method

Abstract

This invention discloses an adaptive identification method for diaphragm valve faults in fluid pipeline systems. This invention relates to the field of diaphragm valve technology and solves the problem of susceptibility to interference from normal operating condition fluctuations due to the lack of refined analysis of signal characteristics. This invention analyzes the waveform of the associated vibration signal, identifies the corresponding undetermined waveband, compares the undetermined waveband with a preset standard waveform, identifies the amplitude to be verified associated with the corresponding moving comparison process based on the corresponding moving comparison process, and determines the diaphragm valve anomaly based on the specific value of the amplitude to be verified, thus confirming the abnormal diaphragm valve. This facilitates the accuracy of amplitude verification in subsequent moving processes, effectively reduces the impact of signal fluctuations on anomalies, and improves the accuracy of valve anomaly determination.

Description

Technical Field

[0001] This invention relates to the field of diaphragm valve technology, specifically to an adaptive fault identification method for diaphragm valves in fluid pipeline systems. Background Technology

[0002] In industrial fluid pipeline systems, diaphragm valves are widely used in key fields such as chemical, water treatment, pharmaceutical, and energy industries due to their excellent sealing performance, media isolation capabilities, and adaptability to corrosive and high-viscosity media. However, during long-term operation, diaphragm valves are prone to malfunctions such as diaphragm aging and damage, valve core jamming, seal failure, and actuator loosening due to factors such as media erosion, pressure fluctuations, temperature changes, and mechanical wear. If these malfunctions are not detected in time, they may lead to abnormal pipeline flow and pressure fluctuations, affecting system operating efficiency; or even cause media leakage, pollution, or safety accidents, resulting in serious economic losses and safety risks.

[0003] Traditional diaphragm valve fault detection methods rely heavily on manual inspections or periodic shutdowns for maintenance, which have significant limitations: Firstly, manual judgment depends on the experience of maintenance personnel, is highly subjective, and is easily affected by environmental interference (such as pipeline noise and space constraints), leading to missed or incorrect diagnoses. Secondly, fixed maintenance cycles make it difficult to detect sudden faults, and frequent shutdowns reduce production continuity. With the development of industrial intelligence, sensor-based online monitoring technology is gradually being applied, but existing methods still have shortcomings: some technologies judge anomalies only based on a single vibration amplitude or pressure threshold, without refined analysis of signal characteristics, making them susceptible to interference from fluctuations in normal operating conditions; other methods lack the ability to classify fault types, only able to identify the "abnormality" but unable to pinpoint the specific cause of the fault (such as distinguishing between jamming and corrosion), resulting in delayed maintenance response. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an adaptive identification method for diaphragm valve faults in fluid pipeline systems, which solves the problem of susceptibility to interference from fluctuations in normal operating conditions due to the lack of refined analysis of signal characteristics.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an adaptive identification method for diaphragm valve faults in fluid pipeline systems, comprising the following steps:

[0006] Step 1: Based on the vibration sensors installed at the corresponding locations of the diaphragm valves in the fluid pipeline system, receive the vibration signals generated by the diaphragm valves, perform characteristic verification on the received vibration signals, and lock in the characteristic waveband to be verified. The specific method is as follows:

[0007] Based on the vibration signals received by the vibration sensor, the signal waveform associated with the corresponding vibration signal is identified;

[0008] The waveform points existing in the signal waveform are confirmed, and the waveform points are marked according to the trend change process of the waveform. The waveforms before and after the waveform points have opposite trends. The peak waveform points are locked from the confirmed waveform points. The waveforms before the peak waveform points have an upward trend and the waveforms after the peak waveform points have a downward trend. Based on the marked peak waveform points, the bands between adjacent peak waveform points are recorded as undetermined bands.

[0009] A set of undetermined bands is randomly selected and translated from front to back. The existence of completely overlapping undetermined bands is identified. The completely overlapping undetermined bands are classified as having the same characteristic segment. This process is repeated. The undetermined bands that have the same characteristic segment within the undetermined bands are classified in turn. Other undetermined bands that are not classified as having the same characteristic segment are recorded as unverified characteristic bands.

[0010] Step 2: Compare the locked characteristic band to be verified with a preset standard signal wave. Move the characteristic band to be verified and record the amplitude values ​​associated with the movement. Based on the verification process of the amplitude values, identify whether the current diaphragm valve is an abnormal diaphragm valve. The specific method is as follows:

[0011] Based on the determined characteristic band to be verified, and in accordance with the waveform arrangement of the original signal waveform, the positional characteristics of the characteristic band to be verified are kept unchanged;

[0012] The adjusted characteristic band to be verified is placed in the coordinate system of the standard signal wave, aligning the initial time of the characteristic band to be verified with the initial time of the standard signal wave. After alignment, several shift processes are executed, with the characteristic band to be verified shifted backward by one unit time in each shift process. Then, the amplitude to be verified associated with each shift process is confirmed sequentially: within the characteristic band to be verified and the standard signal wave, the different amplitudes F1 associated with the same time are confirmed. i and F2 i Where i represents different times, F1 i F2 represents the amplitude associated with the characteristic band to be verified. i The amplitude associated with the standard signal wave is expressed as: |F1 i -F2 i |=CZ i Confirm the amplitude difference CZ associated at the same time. i Then, the amplitudes associated at the same time are successively subjected to difference processing to confirm the corresponding amplitude difference. If no associated F1 exists at the same time, i If no difference processing is performed at the corresponding time, the confirmed amplitude differences CZ will be used. i Perform summation to confirm the total difference ZZ, then record and label the total number of times at several identical times as Gz, and use ZZ ÷ Gz = Df to confirm the amplitude Df associated with the corresponding moving process.

[0013] The different amplitude values ​​Df associated with different moving processes are determined sequentially, and the minimum value Df is selected from the determined amplitude values ​​Df. min , the minimum value Df min The associated mobile process is identified as the process to be verified, and Df min Compare with the preset value Y1: If Df min If Y1 ≥ 1, then the current diaphragm valve is calibrated as an abnormal diaphragm valve. If Df min If the value is less than Y1, no calibration is performed.

[0014] Step 3: Identify whether the feature band to be verified is a continuous band. If so, perform feature verification on each undetermined band within it, and lock the wave to be verified based on the verification process. If not, perform feature verification on different bands, and lock the wave to be verified based on the verification process. The specific method is as follows:

[0015] If the characteristic band to be verified is a continuous band, then the different undetermined bands associated with the characteristic band to be verified are confirmed, and the maximum amplitude and minimum amplitude associated with the corresponding undetermined band are confirmed, and the amplitude difference is confirmed. The amplitude difference = maximum amplitude - minimum amplitude. From the confirmed different amplitude differences associated with different undetermined bands, the maximum value is selected, and the undetermined band associated with the maximum value is recorded as the wave to be confirmed.

[0016] If the characteristic band to be verified is not a continuous band, then multiple different waveforms that are discontinuous within the characteristic band to be verified are identified, and the identified different waveforms are recorded as single waveforms.

[0017] For each single waveform, the maximum and minimum amplitudes are confirmed, and based on the confirmed maximum and minimum amplitudes, the amplitude difference Fc is determined. k The amplitude difference is calculated as the maximum amplitude minus the minimum amplitude. The band length of a single waveform is confirmed and calibrated as CD. k , where k represents different single waveforms;

[0018] Based on the confirmed amplitude difference Fc k And the band length CD of a single waveform k Using: Bz k =Fc k ×C1+CD k ×C2 confirms the waveform feature Bz associated with the corresponding single waveform. k C1 and C2 are both preset fixed coefficient factors, which affect the different waveform characteristics Bz associated with different single waveforms. k Confirmation was performed, and several sets of waveform characteristics Bz were identified. k In the middle, select Bz kThe single waveform associated with max is recorded as the waveform to be confirmed.

[0019] Step 4: Compare and verify the locked waveform to be confirmed with the preset abnormal waveform, identify the verification features, and based on the identification results, confirm the abnormal features associated with the waveform to be confirmed and display the signal. The specific method is as follows:

[0020] The preset abnormal waveform is compared one by one with the locked waveform to be confirmed. The abnormal waveform is placed on one side of the waveform to be confirmed, and the abnormal waveform is controlled to be horizontally translated. The process with the highest overlap between the abnormal waveform and the waveform to be confirmed is recorded during the translation process. The resulting overlapping segments are recorded. Based on the confirmed overlapping segments and the associated waveform to be confirmed, the overlap ratio of the overlapping segments is confirmed. The overlap ratio = overlap segment line length ÷ waveform line length to be confirmed.

[0021] Then, the same processing method is applied to other abnormal waveforms in turn, and the overlap ratio associated with each different abnormal waveform is confirmed. Based on the different overlap ratios associated with different abnormal waveforms, the maximum value is selected, and the abnormal waveform associated with the maximum value is recorded as the selected waveform. The abnormal features associated with the selected waveform are locked, and the abnormal signals associated with the corresponding abnormal features are generated and displayed synchronously.

[0022] This invention provides an adaptive fault identification method for diaphragm valves in fluid piping systems. Compared with existing technologies, it has the following advantages:

[0023] This invention analyzes the waveform of the associated vibration signal to identify the corresponding undetermined waveband, compares the undetermined waveband with a preset standard waveform, identifies the amplitude to be verified associated with the corresponding moving comparison process based on the corresponding moving comparison process, and determines the diaphragm valve anomaly based on the specific value of the amplitude to be verified, and confirms the abnormal diaphragm valve. This facilitates the accuracy of amplitude verification in subsequent moving processes, effectively reduces the impact of anomalies caused by signal fluctuations, and improves the accuracy of valve anomaly determination.

[0024] Based on the wave to be verified associated with the corresponding abnormal diaphragm valve, the amplitude and length characteristics associated with the corresponding waveband are used to confirm the wave to be verified within the wave to be verified. Then, the abnormal waveform and the wave to be verified are compared and verified. In combination with the specific comparison and verification process, the overlap associated with the corresponding abnormal waveform is confirmed. Based on the overlap, the overlap ratio is confirmed. In this way, the corresponding abnormal signal can be quickly identified. Subsequently, the operators can take timely countermeasures based on the displayed abnormal signal without the need for secondary maintenance and confirmation by the operators. Attached Figure Description

[0025] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0026] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] First Embodiment

[0028] Please see Figure 1 This application provides an adaptive identification method for diaphragm valve faults in fluid piping systems, comprising the following steps:

[0029] Step 1: Based on the vibration sensor installed at the corresponding position of the diaphragm valve in the fluid pipeline system, the vibration signal generated by the diaphragm valve is received, and the received vibration signal is verified to identify the characteristic waveband to be verified. Specifically, the corresponding vibration signal has a corresponding signal waveform. During the fluctuation process, there are specific fluctuation amplification segments. If the corresponding fluctuation amplification segment does not belong to the original fluctuation characteristics, it belongs to the abnormal fluctuation segment. Subsequently, based on the confirmed abnormal fluctuation segment, feature verification is performed to identify whether the corresponding abnormal fluctuation segment has a specific abnormality and to confirm and display the corresponding abnormal signal.

[0030] The specific method for locking the feature bands to be verified is as follows:

[0031] Based on the vibration signals received by the vibration sensor, the signal waveform associated with the corresponding vibration signal is identified;

[0032] The waveform points within the signal waveform are identified, and the waveform points are marked according to the trend of the waveform change. The waveforms before and after the waveform points have opposite trends (if the front waveform is in an upward trend, after passing the waveform point, the back waveform is in a downward trend, and vice versa). The peak waveform points are locked from the identified waveform points. The waveforms before the peak waveform points have an upward trend, and the waveforms after the peak waveform points have a downward trend. Based on the marked peak waveform points, the bands between adjacent peak waveform points are recorded as undetermined bands.

[0033] A set of undetermined bands is randomly selected and shifted from front to back to identify whether there are any completely overlapping undetermined bands. The completely overlapping undetermined bands are classified as having the same characteristic segment. This process is repeated, and the same characteristic segments existing within the undetermined bands are calibrated in sequence. Other undetermined bands that are not calibrated as having the same characteristic segment are recorded as characteristic bands to be verified. Specifically, after the undetermined bands are confirmed, the corresponding signal waveform is divided into several undetermined bands. Each undetermined band can be shifted and compared to identify whether there are any completely overlapping corresponding bands. If there are corresponding bands, the relevant calibration of the same characteristic segment is performed. Otherwise, the calibration process of the same characteristic segment is not performed. Based on the specific calibration process, the characteristic bands to be verified are specifically calibrated.

[0034] Step 2: Compare the locked characteristic waveband to be verified with the preset standard signal wave. Move the characteristic waveband to be verified and record the amplitude value to be verified associated with the movement process. Based on the verification process of the amplitude value to be verified, identify whether the current diaphragm valve is an abnormal diaphragm valve. The specific method of identification is as follows:

[0035] Based on the determined characteristic band to be verified, and in accordance with the waveform arrangement of the original signal waveform, the positional characteristics of the characteristic band to be verified are kept unchanged;

[0036] The adjusted characteristic band to be verified is placed in the coordinate system of the standard signal wave, aligning the initial time of the characteristic band to be verified with the initial time of the standard signal wave. After alignment, several shift processes are executed, with the characteristic band to be verified shifted backward by one unit time in each shift process. Then, the amplitude to be verified associated with each shift process is confirmed sequentially: within the characteristic band to be verified and the standard signal wave, the different amplitudes F1 associated with the same time are confirmed. i and F2 i Where i represents different times, F1 i F2 represents the amplitude associated with the characteristic band to be verified. i The amplitude associated with the standard signal wave is expressed as: |F1 i -F2 i |=CZ i Confirm the amplitude difference CZ associated at the same time. i Then, the amplitudes associated at the same time are successively subjected to difference processing to confirm the corresponding amplitude difference. If no associated F1 exists at the same time, i If no difference processing is performed at the corresponding time, the confirmed amplitude differences CZ will be used. i Perform summation to confirm the total difference ZZ, then record and label the total number of times at several identical times as Gz, and use ZZ ÷ Gz = Df to confirm the amplitude Df associated with the corresponding moving process.

[0037] Then, the different amplitude values ​​Df associated with different moving processes are determined sequentially, and the minimum value Df is selected from the determined amplitude values ​​Df. min , the minimum value Df min The associated mobile process is identified as the process to be verified, and Df min Compare with the preset value Y1: If Df min If the value is ≥Y1, the current diaphragm valve will be calibrated as an abnormal diaphragm valve; otherwise, no calibration will be performed.

[0038] Specifically, within the original signal wave, there exists a corresponding characteristic waveband to be verified. This characteristic waveband may be discontinuous or continuous. To achieve better testing and processing results, the corresponding characteristic waveband to be verified needs to be kept in its original position to ensure the accuracy of simultaneous amplitude verification. Subsequently, during the comparison process, the group of moving processes with the lowest feature difference (that is, the moving process with the smallest verified amplitude) is identified. From this moving process, the amplitude comparison and verification process is identified to confirm the abnormal diaphragm valve. This confirmation method can effectively reduce the abnormal impact caused by signal fluctuations and improve the accuracy of valve abnormality determination.

[0039] Step 3: Identify whether the feature band to be verified is a continuous band. If so, perform feature verification on each undetermined band within it and lock the wave to be verified based on the verification process. If not, perform feature verification on different bands and lock the wave to be verified based on the verification process.

[0040] The specific method for determining the wave to be confirmed is as follows:

[0041] If the characteristic band to be verified is a continuous band, then the different undetermined bands associated with the characteristic band to be verified are confirmed, and the maximum amplitude and minimum amplitude associated with the corresponding undetermined band are confirmed, and the amplitude difference is confirmed. The amplitude difference = maximum amplitude - minimum amplitude. From the confirmed different amplitude differences associated with different undetermined bands, the maximum value is selected, and the undetermined band associated with the maximum value is recorded as the wave to be confirmed.

[0042] If the characteristic band to be verified is not a continuous band, then multiple different waveforms that are discontinuous within the characteristic band to be verified are identified, and the identified different waveforms are recorded as single waveforms.

[0043] For each single waveform, the maximum and minimum amplitudes are confirmed, and based on the confirmed maximum and minimum amplitudes, the amplitude difference Fc is determined. k The amplitude difference is calculated as the maximum amplitude minus the minimum amplitude. The band length of a single waveform is confirmed and calibrated as CD. k , where k represents different single waveforms;

[0044] Based on the confirmed amplitude difference Fc k And the band length CD of a single waveform k Using: Bz k =Fc k ×C1+CD k ×C2 confirms the waveform feature Bz associated with the corresponding single waveform. k C1 and C2 are preset fixed coefficient factors, whose specific values ​​are determined by the operator based on experience. C1 is typically set to 0.687, and C2 to 0.313. This applies to different waveform characteristics Bz associated with different single waveforms. k Confirmation was performed, and several sets of waveform characteristics Bz were identified. k In the middle, select Bz k The single waveform associated with max is recorded as the waveform to be confirmed.

[0045] Specifically, the reason for confirming the wave to be confirmed is to confirm the wave with the largest amplitude change from the corresponding characteristic wave band to be verified, and then compare the abnormal waveform of the wave band with the largest amplitude change, and identify the specific abnormal cause of the current isolation valve from the comparison process.

[0046] During comparison, there are generally only two abnormal waveforms: one is the signal waveform generated when the diaphragm valve is corroded, and the other is the signal waveform of the diaphragm valve being stuck and moving during the verification process.

[0047] Step 4: Compare and verify the locked waveform to be verified with the preset abnormal waveform, identify the verification features, and based on the identification results, confirm the abnormal features associated with the waveform to be verified and display the signal. The specific method for identifying the verification features is as follows:

[0048] The preset abnormal waveform is compared one by one with the locked waveform to be confirmed. The abnormal waveform is placed on one side of the waveform to be confirmed, and the abnormal waveform is controlled to be horizontally translated. The process with the highest overlap between the abnormal waveform and the waveform to be confirmed is recorded during the translation process. The resulting overlapping segments are recorded. Based on the confirmed overlapping segments and the associated waveform to be confirmed, the overlap ratio of the overlapping segments is confirmed. The overlap ratio = overlap segment line length ÷ waveform line length to be confirmed.

[0049] Then, the same processing method is applied to other abnormal waveforms in turn, and the overlap ratio associated with each different abnormal waveform is confirmed (the confirmed overlap ratio is the group of movement processes with the highest overlap in the translation process, and the corresponding overlap ratio can be locked). Based on the different overlap ratios associated with different abnormal waveforms, the maximum value is selected, and the abnormal waveform associated with the maximum value is recorded as the selected waveform. The abnormal features associated with the selected waveform are locked, and the abnormal signals associated with the corresponding abnormal features are generated and displayed simultaneously for external personnel to view and take timely countermeasures.

[0050] Specifically, during the processing, there are different abnormal waveforms, all of which are preset waveforms. During the comparison process, the abnormal waveforms can be compared and verified with the corresponding waveform to be confirmed. By combining the specific comparison and verification process, the overlap of the corresponding abnormal waveforms can be confirmed. Based on the overlap, the overlap ratio can be confirmed, thereby quickly locking the corresponding abnormal signal. Subsequently, the operators can take timely countermeasures based on the displayed abnormal signal without the need for secondary maintenance and confirmation by the operators.

[0051] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0052] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. An adaptive fault identification method for diaphragm valves in fluid pipeline systems, characterized in that, Includes the following steps: Step 1: Based on the vibration sensors installed at the corresponding locations of the diaphragm valves in the fluid pipeline system, receive the vibration signals generated by the diaphragm valves, perform characteristic verification on the received vibration signals, and lock in the characteristic waveband to be verified. The specific method is as follows: Based on the vibration signals received by the vibration sensor, the signal waveform associated with the corresponding vibration signal is identified; The waveform points existing in the signal waveform are confirmed, and the waveform points are marked according to the trend change process of the waveform. The waveforms before and after the waveform points have opposite trends. The peak waveform points are locked from the confirmed waveform points. The waveforms before the peak waveform points have an upward trend and the waveforms after the peak waveform points have a downward trend. Based on the marked peak waveform points, the bands between adjacent peak waveform points are recorded as undetermined bands. A set of undetermined bands is randomly selected and translated from front to back. The existence of completely overlapping undetermined bands is identified. The completely overlapping undetermined bands are classified as having the same characteristic segment. This process is repeated. The undetermined bands that have the same characteristic segment within the undetermined bands are classified in turn. Other undetermined bands that are not classified as having the same characteristic segment are recorded as unverified characteristic bands. Step 2: Compare the locked characteristic waveband to be verified with the preset standard signal wave, move the characteristic waveband to be verified, record the amplitude to be verified associated in the moving process, and identify whether the current diaphragm valve is an abnormal diaphragm valve based on the verification process of the amplitude to be verified. Step 3: Identify whether the feature band to be verified is a continuous band. If so, perform feature verification on each undetermined band within it and lock the wave to be verified based on the verification process. If not, perform feature verification on different bands and lock the wave to be verified based on the verification process. Step 4: Compare and verify the locked wave to be confirmed with the preset abnormal waveform, identify the verification features, and based on the identification results, confirm the abnormal features associated with the wave to be confirmed and display the signal.

2. The adaptive identification method for diaphragm valve faults in a fluid pipeline system according to claim 1, characterized in that, In step two, the specific method for verifying the amplitude associated with the moving process is as follows: Based on the determined characteristic band to be verified, and in accordance with the waveform arrangement of the original signal waveform, the positional characteristics of the characteristic band to be verified are kept unchanged; The adjusted characteristic band to be verified is placed in the coordinate system of the standard signal wave, aligning the initial time of the characteristic band to be verified with the initial time of the standard signal wave. After alignment, several shift processes are executed, with the characteristic band to be verified shifted backward by one unit time in each shift process. Then, the amplitude to be verified associated with each shift process is confirmed sequentially: within the characteristic band to be verified and the standard signal wave, the different amplitudes F1 associated with the same time are confirmed. i and F2 i Where i represents different times, F1 i F2 represents the amplitude associated with the characteristic band to be verified. i The amplitude associated with the standard signal wave is expressed as: |F1 i -F2 i |=CZ i Confirm the amplitude difference CZ associated at the same time. i Then, the amplitudes associated at the same time are successively subjected to difference processing to confirm the corresponding amplitude difference. If no associated F1 exists at the same time, i If no difference processing is performed at the corresponding time, the confirmed amplitude differences CZ will be processed. i Perform summation to confirm the total difference ZZ. Then, record and label the total number of times at several identical moments as Gz. Use ZZ ÷ Gz = Df to confirm the amplitude Df associated with the corresponding moving process.

3. The adaptive identification method for diaphragm valve faults in a fluid pipeline system according to claim 2, characterized in that, In step two, the specific method for identifying abnormal diaphragm valves is as follows: The different amplitude values ​​Df associated with different moving processes are determined sequentially, and the minimum value Df is selected from the determined amplitude values ​​Df. min , the minimum value Df min The associated mobile process is identified as the process to be verified, and Df min Compare with the preset value Y1: If Df min If ≥Y1, then the current diaphragm valve will be calibrated as an abnormal diaphragm valve.

4. The adaptive identification method for diaphragm valve faults in a fluid pipeline system according to claim 3, characterized in that, If Df min If <Y1, then no calibration is performed.

5. The adaptive identification method for diaphragm valve faults in a fluid pipeline system according to claim 1, characterized in that, In step three, the specific method for determining the wave to be confirmed is as follows: If the characteristic band to be verified is a continuous band, then the different undetermined bands associated with the characteristic band to be verified are confirmed, and the maximum and minimum amplitudes associated with the corresponding undetermined bands are confirmed, and the amplitude difference is confirmed. The amplitude difference = maximum amplitude - minimum amplitude. From the confirmed different amplitude differences associated with different undetermined bands, the maximum value is selected, and the undetermined band associated with the maximum value is recorded as the wave to be verified.

6. The adaptive identification method for diaphragm valve faults in a fluid pipeline system according to claim 1, characterized in that, In step three, the specific methods for determining the wave to be confirmed also include: If the characteristic band to be verified is not a continuous band, then multiple different waveforms that are discontinuous within the characteristic band to be verified are identified, and the identified different waveforms are recorded as single waveforms. For each single waveform, the maximum and minimum amplitudes are confirmed, and based on the confirmed maximum and minimum amplitudes, the amplitude difference Fc is determined. k The amplitude difference is calculated as the maximum amplitude minus the minimum amplitude. The band length of a single waveform is confirmed and calibrated as CD. k , where k represents different single waveforms; Based on the confirmed amplitude difference Fc k And the band length CD of a single waveform k Using: Bz k =Fc k ×C1+CD k ×C2 confirms the waveform feature Bz associated with the corresponding single waveform. k C1 and C2 are both preset fixed coefficient factors, which affect the different waveform characteristics Bz associated with different single waveforms. k Confirmation was performed, and several sets of waveform characteristics Bz were identified. k In the middle, select Bz k The single waveform associated with max is designated as the wave to be confirmed.

7. The adaptive identification method for diaphragm valve faults in a fluid pipeline system according to claim 1, characterized in that, In step four, the specific method for comparing and verifying the wave to be confirmed with the preset abnormal waveform is as follows: The preset abnormal waveform is compared one by one with the locked waveform to be confirmed. The abnormal waveform is placed on one side of the waveform to be confirmed, and the abnormal waveform is controlled to be horizontally translated. The process with the highest overlap between the abnormal waveform and the waveform to be confirmed is recorded during the translation process. The resulting overlapping segments are recorded. Based on the confirmed overlapping segments and the associated waveform to be confirmed, the overlap ratio of the overlapping segments is confirmed. The overlap ratio = overlap segment line length ÷ waveform line length to be confirmed. Then, the same processing method is applied to other abnormal waveforms in turn, and the overlap ratio associated with each different abnormal waveform is confirmed. Based on the different overlap ratios associated with different abnormal waveforms, the maximum value is selected, and the abnormal waveform associated with the maximum value is recorded as the selected waveform. The abnormal features associated with the selected waveform are locked, and the abnormal signals associated with the corresponding abnormal features are generated and displayed synchronously.

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