Fault self-adaptive identification method for diaphragm valve of fluid pipeline system

Abstract

The invention discloses a fluid pipeline system diaphragm valve fault self-adaptive identification method, relates to the technical field of diaphragm valves, and solves the problems that signal characteristics are not subjected to fine analysis and are easily interfered by fluctuation of normal working conditions. The method comprises the following steps: acquiring a to-be-determined wave band, comparing the to-be-determined wave band with a preset standard waveform, identifying a to-be-verified amplitude associated with a corresponding processing process based on a corresponding movement comparison processing process, carrying out abnormity determination on a diaphragm valve based on a specific numerical value of the to-be-verified amplitude, and confirming an abnormal diaphragm valve. The specific accuracy of amplitude verification in the subsequent movement process is facilitated, the abnormal influence caused by signal fluctuation can be effectively reduced, and the specific accuracy in the valve abnormality determination process is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of diaphragm valves, and in particular to a method for adaptively identifying faults of diaphragm valves in a fluid pipeline system. Background Art

[0002] In industrial fluid piping systems, diaphragm valves are widely used in key sectors such as chemical engineering, water treatment, medicine, and energy due to their excellent sealing properties, media isolation capabilities, and adaptability to corrosive and high-viscosity media. However, over long-term operation, diaphragm valves are susceptible to diaphragm aging and damage, valve core sticking, seal failure, and actuator loosening due to factors such as media erosion, pressure fluctuations, temperature changes, and mechanical wear. If these faults are not discovered in a timely manner, they can lead to abnormal pipeline flow and pressure fluctuations, affecting system operating efficiency. In severe cases, they can cause media leakage, pollution, and even safety accidents, resulting in serious economic losses and safety risks. Traditional diaphragm valve fault detection methods rely heavily on manual inspections or scheduled downtime for maintenance, which present significant limitations. First, manual judgment relies on the experience of maintenance personnel, is highly subjective, and is susceptible to environmental interference (such as pipeline noise and space constraints), leading to missed or misjudgment. Second, the fixed maintenance cycle makes it difficult to detect sudden failures, and frequent downtime reduces production continuity. With the advancement of industrial intelligence, sensor-based online monitoring technologies are increasingly being used, but existing methods still have shortcomings. Some technologies only detect anomalies based on a single vibration amplitude or pressure threshold, without detailed analysis of signal characteristics, making them susceptible to interference from normal operating conditions. Other methods lack the ability to classify fault types, merely identifying the presence of an anomaly without being able to pinpoint the specific cause (for example, distinguishing between a jam and corrosion), resulting in delayed maintenance responses. Summary of the Invention

[0003] In response to the deficiencies of the prior art, the present invention provides a method for adaptively identifying faults in diaphragm valves of fluid piping systems, which solves the problem of failure to perform refined analysis of signal characteristics and susceptibility to interference from fluctuations in normal operating conditions.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for adaptively identifying diaphragm valve faults in a fluid pipeline system comprises the following steps: Step 1: Receive the vibration signal generated by the diaphragm valve according to the vibration sensor installed at the corresponding position of the diaphragm valve in the fluid pipeline system, perform feature verification on the received vibration signal, and lock the feature band to be verified. The specific method is as follows: Determining a signal waveform associated with the vibration signal according to the vibration signal received by the vibration sensor; Confirm the waveform points existing in the signal waveform, calibrate the waveform points according to the trend change process of the waveform, and lock the peak waveform points from the confirmed waveform points. The waveform trend of the front end of the peak waveform point is upward, and the waveform trend of the back end is downward. Based on the calibrated peak waveform points, the band between adjacent peak waveform points is recorded as the undetermined band; Randomly select a group of pending bands, translate them from front to back, identify whether there are completely overlapping pending bands in the future, and mark the completely overlapping pending bands as the same feature segments. Similarly, mark the same feature segments in the pending bands in turn, and record the other pending bands that are not marked as the same feature segments as the feature bands to be verified; 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 to be verified associated with the movement process. Based on the verification process of the amplitude to be verified, identify whether the current diaphragm valve is an abnormal diaphragm valve. The specific method 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 position characteristics of the characteristic band to be verified are kept unchanged; Place the adjusted characteristic band to be verified in the coordinate system of the standard signal wave, align the initial moment of the characteristic band to be verified with the initial moment of the standard signal wave, and after the alignment is completed, execute several moving processes. Each group of moving processes will shift the characteristic band to be verified one unit time backward, and then confirm the amplitude to be verified associated with each group of moving processes in turn: confirm the different amplitudes F1 associated with the same time in the characteristic band to be verified and the standard signal wave. i and F2 i , where i represents different moments, F1 i is the amplitude associated with the characteristic band to be verified, F2 i For the amplitude associated with the standard signal wave, use: |F1 i -F2 i |=CZ i Confirm the amplitude difference CZ associated with the same moment i And perform difference processing on the amplitudes associated with the same moment in turn to confirm the corresponding amplitude difference. If there is no associated F1 at the same moment i , then the corresponding moment does not perform difference processing, and the confirmed amplitude differences CZ i Perform summation to confirm the total difference ZZ, then record the total number of times at the same time and calibrate it as Gz, and use: ZZ ÷ Gz = Df to confirm the amplitude to be checked Df associated with the corresponding moving process; The different amplitudes Df to be checked associated with different moving processes are determined in turn, and the minimum value Df is selected from the determined amplitudes Df to be checked. min , the minimum value Df min The associated mobile process is marked as the process to be verified, and Df min Compare with the preset value Y1: If Df min ≥Y1, the current diaphragm valve is calibrated as an abnormal diaphragm valve. If Df min <Y1, no calibration is performed; Step 3: Identify whether the characteristic band to be verified is a continuous band. If so, perform feature confirmation on each internal band to be determined, and lock the wave to be confirmed based on the confirmation process. If not, perform feature confirmation on different bands, and lock the wave to be confirmed based on the confirmation process. The specific method 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 amplitude and minimum amplitude associated with the corresponding undetermined band are confirmed, and the amplitude difference is confirmed, and the amplitude difference = maximum amplitude - minimum amplitude. From the different amplitude differences associated with the confirmed different undetermined bands, the maximum value is selected, and the undetermined band associated with the maximum value is recorded as the undetermined band; If the characteristic band to be verified is not a continuous band, multiple different waveforms that are discontinuous in the characteristic band to be verified are confirmed, and the confirmed different waveforms are recorded as a single waveform; Confirm the maximum and minimum amplitudes associated with each single waveform, and confirm the amplitude difference Fc based on the confirmed maximum and minimum amplitudes. k , the amplitude difference = maximum amplitude - minimum amplitude, and confirm the band length of the single waveform and mark it as CD k , where k represents different single waveforms; According to 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 , where C1 and C2 are preset fixed coefficient factors, for different waveform characteristics Bz associated with different single waveforms k Confirm and from the confirmed sets of waveform features Bz k In the k The single waveform associated with max is recorded as the wave to be confirmed; 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. The specific method is as follows: Compare the preset abnormal waveform with the locked wave to be confirmed one by one, place the abnormal waveform on the side of the wave to be confirmed, and control the abnormal waveform to be horizontally translated. During the translation process, the process with the highest overlap between the abnormal waveform and the wave to be confirmed is recorded, and the resulting overlap segments are recorded. Based on the confirmed overlap segments and the associated wave to be confirmed, the overlap ratio of the overlap segments is determined, which is the overlap ratio = overlap segment line length ÷ total length of the wave to be confirmed. Then, other abnormal waveforms are processed in the same way, and the overlap ratio associated with each different abnormal waveform is confirmed. According to 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 feature associated with the selected waveform is locked, and the abnormal signal associated with the corresponding abnormal feature is generated synchronously for display.

[0005] The present invention provides a method for adaptively identifying diaphragm valve faults in a fluid piping system. Compared with the prior art, it has the following advantages: The present invention analyzes the waveform of the associated vibration signal, identifies the corresponding to-be-determined band, compares the to-be-determined band with a preset standard waveform, identifies the to-be-checked amplitude associated with the corresponding processing process based on the corresponding mobile comparison processing process, and determines the diaphragm valve as abnormal based on the specific numerical value of the to-be-checked amplitude, and confirms the abnormal diaphragm valve, which facilitates the specific accuracy of the amplitude verification in the subsequent mobile process, can effectively reduce the abnormal impact caused by signal fluctuations, and improve the specific accuracy of the valve abnormality determination process; Based on the wave to be checked associated with the corresponding abnormal diaphragm valve, synchronously based on the amplitude characteristics and length characteristics associated with the corresponding wave band, the wave to be confirmed is confirmed from the wave to be checked, and then the abnormal waveform and the wave to be confirmed are compared and verified for overlap. In combination with the specific comparison and verification process, the overlap situation associated with the corresponding abnormal waveform is confirmed, and the overlap ratio is confirmed based on the overlap situation. In this way, the corresponding abnormal signal can be quickly locked, and the subsequent operating personnel can take timely response measures based on the displayed abnormal signal, without the need for the operator to perform secondary maintenance confirmation. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] Figure 1 Schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0007] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0008] First embodiment See also Figure 1 , the present application provides a method for adaptively identifying faults of diaphragm valves in a fluid piping system, comprising the following steps: Step 1: Receive the vibration signal generated by the diaphragm valve according to the vibration sensor provided at the corresponding position of the diaphragm valve of the fluid pipeline system, perform feature verification on the received vibration signal, and lock the feature band to be verified. Specifically, the corresponding vibration signal has a corresponding signal waveform, and the signal waveform has a specific fluctuation abnormal increase segment during the fluctuation process. The corresponding fluctuation abnormal increase segment does not belong to the original fluctuation feature, and belongs to an abnormal fluctuation segment. Subsequently, based on the confirmed abnormal fluctuation segment, perform feature verification on it to identify whether the corresponding abnormal fluctuation segment has a specific abnormality, and confirm that the corresponding abnormal signal is displayed; The specific method for locking the characteristic band to be verified is: Determining a signal waveform associated with the vibration signal according to the vibration signal received by the vibration sensor; Confirm the waveform points existing in the signal waveform, calibrate the waveform points according to the trend change process of the waveform, and the trends of the waveforms before and after the waveform points are opposite (if the front waveform is in an upward trend, after passing the waveform point, the rear waveform is in a downward trend. Similarly, if the front waveform is in a downward trend, after passing the waveform point, the rear waveform is in an upward trend). The peak waveform point is locked from the confirmed waveform points. The waveform trend of the front waveform of the peak waveform point is upward, and the waveform trend of the rear waveform is downward. Based on the calibrated peak waveform points, the band between adjacent peak waveform points is recorded as the undetermined band; A group of pending bands are randomly selected and translated from front to back to identify whether there are completely overlapping pending bands in the future. The completely overlapping pending bands are calibrated as the same feature segments, and so on. The same feature segments existing in the pending bands are calibrated in turn, and other pending bands that are not calibrated as the same feature segments are recorded as feature bands to be verified. Specifically, after the pending bands are confirmed, the corresponding signal waveforms are divided into several pending bands. Each pending band can be translated and compared to identify whether there are completely overlapping corresponding bands. If there are corresponding bands, the relevant calibration of the same feature segments is performed. Otherwise, the calibration process of the same feature segments is not performed. According to the specific calibration process, the feature bands to be verified are specifically calibrated; 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 to be verified associated with the movement process. Based on the verification process of the amplitude to be verified, identify whether the current diaphragm valve is an abnormal diaphragm valve. The specific method of identification 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 position characteristics of the characteristic band to be verified are kept unchanged; Place the adjusted characteristic band to be verified in the coordinate system of the standard signal wave, align the initial moment of the characteristic band to be verified with the initial moment of the standard signal wave, and after the alignment is completed, execute several moving processes. Each group of moving processes will shift the characteristic band to be verified one unit time backward, and then confirm the amplitude to be verified associated with each group of moving processes in turn: confirm the different amplitudes F1 associated with the same time in the characteristic band to be verified and the standard signal wave. i and F2 i , where i represents different moments, F1 i is the amplitude associated with the characteristic band to be verified, F2 i For the amplitude associated with the standard signal wave, use: |F1 i -F2 i |=CZ i Confirm the amplitude difference CZ associated with the same moment i And perform difference processing on the amplitudes associated with the same moment in turn to confirm the corresponding amplitude difference. If there is no associated F1 at the same moment i , then the corresponding moment does not perform difference processing, and the confirmed amplitude differences CZ i Perform summation to confirm the total difference ZZ, then record the total number of times at the same time and calibrate it as Gz, and use: ZZ ÷ Gz = Df to confirm the amplitude to be checked Df associated with the corresponding moving process; Then, the different amplitudes Df to be checked associated with different moving processes are determined in turn, and the minimum value Df is selected from the determined amplitudes Df to be checked. min , the minimum value Df min The associated mobile process is marked as the process to be verified, and Df min Compare with the preset value Y1: If Df min ≥Y1, the current diaphragm valve is calibrated as an abnormal diaphragm valve, otherwise, no calibration is performed; Specifically, in the original signal wave, there is a corresponding characteristic band to be verified. The corresponding characteristic band to be verified may be a discontinuous band or a continuous band. In order to achieve a better test processing effect, it is necessary to keep the corresponding characteristic band to be verified in its original position unchanged to ensure the accuracy of the amplitude verification at the same time. Subsequently, in the comparison process, a group of moving processes with the lowest characteristic difference (that is, the moving process with the minimum amplitude to be verified) is confirmed. 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 specific accuracy of the valve abnormality determination process. Step 3: Identify whether the characteristic band to be verified is a continuous band. If so, perform feature confirmation on each internal band to be determined, and lock the wave to be confirmed based on the confirmation process. If not, perform feature confirmation on different bands, and lock the wave to be confirmed based on the confirmation process; 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 amplitude and minimum amplitude associated with the corresponding undetermined band are confirmed, and the amplitude difference is confirmed, and the amplitude difference = maximum amplitude - minimum amplitude. From the different amplitude differences associated with the confirmed different undetermined bands, the maximum value is selected, and the undetermined band associated with the maximum value is recorded as the undetermined band; If the characteristic band to be verified is not a continuous band, multiple different waveforms that are discontinuous in the characteristic band to be verified are confirmed, and the confirmed different waveforms are recorded as a single waveform; Confirm the maximum and minimum amplitudes associated with each single waveform, and confirm the amplitude difference Fc based on the confirmed maximum and minimum amplitudes. k , the amplitude difference = maximum amplitude - minimum amplitude, and confirm the band length of the single waveform and mark it as CD k , where k represents different single waveforms; According to 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 , where C1 and C2 are preset fixed coefficient factors, and their specific values ​​are determined by the operator based on experience, and C1 is generally 0.687, and C2 is generally 0.313, for different waveform characteristics Bz associated with different single waveforms k Confirm and from the confirmed sets of waveform features Bz k In thek The single waveform associated with max is recorded as the wave to be confirmed; Specifically, the purpose of confirming the wave to be confirmed is to confirm the wave band with the largest amplitude change from the corresponding characteristic wave band to be verified, and then compare the wave band with the largest amplitude change with the abnormal waveform. From the compared processing process, the specific abnormal cause of the current isolation valve is identified; During the 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 when the diaphragm valve is stuck and moved during the calibration process.

[0009] Step 4: Compare and verify the locked wave to be confirmed with the preset abnormal waveform to identify the verification feature. Based on the identification result, confirm the abnormal feature associated with the wave to be confirmed and display the signal. The specific method of identifying the verification feature is as follows: Compare the preset abnormal waveform with the locked wave to be confirmed one by one, place the abnormal waveform on the side of the wave to be confirmed, and control the abnormal waveform to be horizontally translated. During the translation process, the process with the highest overlap between the abnormal waveform and the wave to be confirmed is recorded, and the resulting overlap segments are recorded. Based on the confirmed overlap segments and the associated wave to be confirmed, the overlap ratio of the overlap segments is determined, which is the overlap ratio = overlap segment line length ÷ total length of the wave to be confirmed. Then, other abnormal waveforms are processed in the same way, and the overlap ratio associated with each different abnormal waveform is confirmed (the confirmed overlap ratio is the group of moving processes with the highest overlap in the translation process, and the corresponding associated overlap ratio can be locked). According to 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 feature associated with the selected waveform is locked, and the abnormal signal associated with the corresponding abnormal feature is synchronously generated for display for external personnel to view and take timely response measures; Specifically, in the processing process, there are different abnormal waveforms, and the abnormal waveforms are all preset waveforms. In the comparison process, the abnormal waveforms can be compared and verified with the corresponding waves to be confirmed, and combined with the specific comparison and verification process, the overlap associated with the corresponding abnormal waveform is confirmed, and the overlap ratio is confirmed based on the overlap situation. In this way, the corresponding abnormal signal can be quickly locked, and the subsequent operators can take timely response measures based on the displayed abnormal signal, without the need for the operator to perform secondary maintenance confirmation.

[0010] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0011] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for adaptively identifying faults in diaphragm valves in a fluid piping system, characterized in that: The following steps are involved: Step 1: Receive the vibration signal generated by the diaphragm valve according to the vibration sensor set at the corresponding position of the diaphragm valve in the fluid pipeline system, perform feature verification on the received vibration signal, and lock the feature band to be verified; Step 2: The locked characteristic waveband to be verified is compared with the preset standard signal wave, the characteristic waveband to be verified is moved, and the amplitude to be verified associated with the movement process is recorded. Based on the verification processing process of the amplitude to be verified, it is identified whether the current diaphragm valve is an abnormal diaphragm valve; Step 3: Identify whether the characteristic band to be verified is a continuous band. If so, perform feature confirmation on each internal band to be determined, and lock the wave to be confirmed based on the confirmation process. If not, perform feature confirmation on different bands, and lock the wave to be confirmed based on the confirmation 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 method for adaptively identifying diaphragm valve faults in a fluid pipeline system according to claim 1, characterized in that: In step 1, the specific method of locking the characteristic band to be verified is: Determining a signal waveform associated with the vibration signal according to the vibration signal received by the vibration sensor; Confirm the waveform points existing in the signal waveform, calibrate the waveform points according to the trend change process of the waveform, and lock the peak waveform points from the confirmed waveform points. The waveform trend of the front end of the peak waveform point is upward, and the waveform trend of the back end is downward. Based on the calibrated peak waveform points, the band between adjacent peak waveform points is recorded as the undetermined band; A group of pending bands are randomly selected and translated from front to back to identify whether there are completely overlapping pending bands in the future. The completely overlapping pending bands are marked as the same feature segments. Similarly, the same feature segments existing in the pending bands are calibrated in turn, and other pending bands that are not calibrated as the same feature segments are recorded as feature bands to be verified.

3. The method for adaptively identifying diaphragm valve faults in a fluid pipeline system according to claim 1, characterized in that: In step 2, the specific method for the amplitude to be checked associated with the moving process is: Based on the determined characteristic band to be verified and in accordance with the waveform arrangement of the original signal waveform, the position characteristics of the characteristic band to be verified are kept unchanged; Place the adjusted characteristic band to be verified in the coordinate system of the standard signal wave, align the initial moment of the characteristic band to be verified with the initial moment of the standard signal wave, and after the alignment is completed, execute several moving processes. Each group of moving processes will shift the characteristic band to be verified one unit time backward, and then confirm the amplitude to be verified associated with each group of moving processes in turn: confirm the different amplitudes F1 associated with the same time in the characteristic band to be verified and the standard signal wave. i and F2 i , where i represents different moments, F1 i is the amplitude associated with the characteristic band to be verified, F2 i For the amplitude associated with the standard signal wave, use: |F1 i -F2 i |=CZ i Confirm the amplitude difference CZ associated with the same moment i And perform difference processing on the amplitudes associated with the same moment in turn to confirm the corresponding amplitude difference. If there is no associated F1 at the same moment i , then the corresponding moment does not perform difference processing, and the confirmed amplitude differences CZ i Perform summation to confirm the total difference ZZ, then record the total number of times at the same time and calibrate it as Gz, and use: ZZ ÷ Gz = Df to confirm the amplitude to be checked Df associated with the corresponding moving process.

4. The method for adaptively identifying diaphragm valve faults in a fluid pipeline system according to claim 3, characterized in that: In step 2, the specific method for identifying the abnormal diaphragm valve is: The different amplitudes Df to be checked associated with different moving processes are determined in turn, and the minimum value Df is selected from the determined amplitudes Df to be checked. min , the minimum value Df min The associated mobile process is marked as the process to be verified, and Df min Compare with the preset value Y1: If Df min ≥Y1, the current diaphragm valve is calibrated as an abnormal diaphragm valve.

5. The method for adaptively identifying diaphragm valve faults in a fluid pipeline system according to claim 4, characterized in that: If Df min <Y1, no calibration is performed.

6. The method for adaptively identifying diaphragm valve faults in a fluid pipeline system according to claim 1, characterized in that: In step 3, the specific method for determining the wave to be confirmed is: If the characteristic band to be verified is a continuous band, the different pending bands associated with the characteristic band to be verified are confirmed, and the maximum amplitude and minimum amplitude associated with the corresponding pending bands are confirmed, and the amplitude difference is confirmed, the amplitude difference = maximum amplitude - minimum amplitude, and the maximum value is selected from the different amplitude differences associated with different pending bands, and the pending band associated with the maximum value is recorded as the pending band.

7. The method for adaptively identifying diaphragm valve faults in a fluid pipeline system according to claim 1, characterized in that: In step 3, the specific method of determining the wave to be confirmed also includes: If the characteristic band to be verified is not a continuous band, multiple different waveforms that are discontinuous in the characteristic band to be verified are confirmed, and the confirmed different waveforms are recorded as a single waveform; Confirm the maximum and minimum amplitudes associated with each single waveform, and confirm the amplitude difference Fc based on the confirmed maximum and minimum amplitudes. k , the amplitude difference = maximum amplitude - minimum amplitude, and confirm the band length of the single waveform and mark it as CD k , where k represents different single waveforms; According to 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 , where C1 and C2 are preset fixed coefficient factors, for different waveform characteristics Bz associated with different single waveforms k Confirm and from the confirmed sets of waveform features Bz k In the k The single waveform associated with max is recorded as the wave to be confirmed.

8. The method for adaptively identifying diaphragm valve faults in a fluid pipeline system according to claim 1, characterized in that: In step 4, the specific method of comparing and verifying the wave to be confirmed with the preset abnormal waveform is: Compare the preset abnormal waveform with the locked wave to be confirmed one by one, place the abnormal waveform on the side of the wave to be confirmed, and control the abnormal waveform to be horizontally translated. During the translation process, the process with the highest overlap between the abnormal waveform and the wave to be confirmed is recorded, and the resulting overlap segments are recorded. Based on the confirmed overlap segments and the associated wave to be confirmed, the overlap ratio of the overlap segments is determined, which is the overlap ratio = overlap segment line length ÷ total length of the wave to be confirmed. Then, other abnormal waveforms are processed in the same way, and the overlap ratio associated with each different abnormal waveform is confirmed. According to 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 feature associated with the selected waveform is locked, and the abnormal signal associated with the corresponding abnormal feature is generated synchronously for display.

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