Rotary mechanical seal detection system based on ultrasonic signal

Abstract

The invention relates to the technical field of sealing detection, and discloses a rotary mechanical sealing detection system based on an ultrasonic signal, which comprises a signal acquisition module, a processing backup module and an intelligent analysis module. According to the rotary mechanical seal detection system based on the ultrasonic signals, ultrasonic stress wave signals, pressure signals, temperature signals, vibration signals and flow signals are obtained through the signal acquisition module, a data set is formed, the processing backup module sets a unified time axis, and then preprocessing and storage backup are conducted; the intelligent analysis module analyzes the interference degree when the detection device collects the signals and the proportional relation of different signals changing along with time, generates an attenuation coefficient and a proportional data set and judges whether the rotary sealing equipment has the sealing fault risk or not, the multi-dimensional evaluation detection precision is high, the intelligent analysis module predicts the remaining service life of the equipment, and the reliability of the equipment is improved. Potential problems are recognized in advance, whether an unstable risk or a fatigue loss risk exists or not is judged, suggestions are output, and intelligent prediction production safety is high.

Description

Technical Field

[0001] The present invention relates to the technical field of seal detection, and specifically to a rotating machinery seal detection system based on ultrasonic signals. Background Art

[0002] Rotary sealing devices are frequently used in important devices such as large petrochemical plants, energy plants, and nuclear power plants, and are widely used in industries such as petrochemical, energy, metallurgy, shipbuilding, automotive, aerospace, etc. As an important part of pumps, mechanical seals play an important role in the normal operation and equipment safety of pumps. Rotary machinery seal detection usually uses methods such as pressure decay testing, bubble method, pressure testing, and liquid leakage detection. Pressure decay testing is to inject water into the rotary joint and increase the pressure, and observe the change of the pressure gauge value to judge the sealing performance. The bubble method is to apply pressure to the test piece and evaluate the sealing performance by observing whether there are bubbles generated. The pressure testing method is to isolate the airtight components from the external system on the outside of the seal, and use a constant pressure system to observe the pressure stability of the compressed air to locate the leakage point. The liquid leakage detection method is to apply pressure to the test piece and measure the leakage rate of the test piece. By controlling the junction of the pump body and the external medium, mechanical seals can also protect the environment and reduce the risk of oil leakage and water leakage.

[0003] Currently, traditional rotary machinery seal detection systems are difficult to accurately evaluate the sealing performance and working state of rotary machinery when dealing with complex and changeable equipment working conditions, and cannot detect potential failure risks in advance. During actual operation, the risk of failure or malfunction is relatively high, and they cannot continuously meet the requirements of safe production. Summary of the Invention

[0004] (I) Technical Problems to be Solved In view of the deficiencies of the prior art, the present invention provides a rotating machinery seal detection system based on ultrasonic signals, which has the advantages of high detection accuracy for multi-dimensional evaluation and high production safety for intelligent prediction, and solves the problems that traditional rotary machinery seal detection systems are difficult to accurately evaluate the sealing performance and cannot detect potential failure risks in advance.

[0005] (II) Technical Solutions To achieve the above object, the present invention provides the following technical solutions: A rotating machinery seal detection system based on ultrasonic signals, including a signal acquisition module, a processing and backup module, and an intelligent analysis module; The signal acquisition module is connected to the detection device through a network, acquires ultrasonic stress wave signals, pressure signals, temperature signals, vibration signals, and flow signals generated during the operation of the rotary sealing device, and classifies and forms a signal data set; The processing and backup module is provided with a unified time axis , then preprocess and store the backup for the signals at all time points in the signal dataset; The intelligent analysis module includes a signal analysis unit, a seal prediction unit, and a detection management unit. The signal analysis unit analyzes the degree of interference suffered when the detection device collects signals based on the preprocessed signal dataset, and generates a corresponding attenuation coefficient , the seal prediction unit analyzes the proportional relationship of different signals over time based on the preprocessed signal dataset, and generates a corresponding proportional data group , and determines whether there is a risk of seal failure in the rotating seal device. The detection management unit predicts the remaining service life of the rotating seal device according to the judgment result , the detection management unit is provided with an attenuation threshold within a fixed range and a life threshold , and then combines the attenuation coefficient and the service life , to determine whether there is a risk of instability in the structure of the rotating seal device and a risk of fatigue loss, and output corresponding management suggestions.

[0006] Preferably, the detection device includes an AE probe, a pressure sensor, a temperature sensor, a vibration sensor, and a flowmeter. The expression of the signal dataset is , represents the ultrasonic stress wave signal generated during the operation of the rotating seal device, including the ultrasonic stress wave intensity and the ultrasonic stress wave frequency, represents the pressure signal generated during the operation of the rotating seal device, that is, the pressure value, represents the temperature signal generated during the operation of the rotating seal device, that is, the temperature value, represents the vibration signal generated during the operation of the rotating seal device, including the vibration intensity and the vibration frequency, represents the flow signal generated during the operation of the rotating seal device, including the flow value and the flow velocity.

[0007] Preferably, the preprocessing process is as follows: Set ultrasonic stress wave intensity thresholds, ultrasonic stress wave frequency thresholds, pressure thresholds, temperature thresholds, vibration intensity thresholds, vibration frequency thresholds, flow thresholds, and flow velocity thresholds within a fixed range to remove signal noise in the signal dataset; If the ultrasonic stress wave intensity at any time point in the signal dataset exceeds the ultrasonic stress wave signal intensity threshold, it means that the ultrasonic stress wave intensity is noise, and the Kalman filter is used for filtering; If the ultrasonic stress wave frequency at any time point in the signal dataset exceeds the ultrasonic stress wave signal frequency threshold, it means that the ultrasonic stress wave frequency is noise, and the Kalman filter is used for filtering; If the pressure value at any time point in the signal dataset exceeds the pressure threshold, it indicates that the pressure value is noise, and the Kalman filter is used for filtering; If the temperature value at any time point in the signal dataset exceeds the temperature threshold, it indicates that the temperature value is noise, and the Kalman filter is used for filtering; If the vibration intensity at any time point in the signal dataset exceeds the vibration intensity threshold, it indicates that the vibration intensity is noise, and the Kalman filter is used for filtering; If the vibration frequency at any time point in the signal dataset exceeds the vibration frequency threshold, it indicates that the vibration frequency is noise, and the Kalman filter is used for filtering; If the flow value at any time point in the signal dataset exceeds the flow threshold, it indicates that the flow value is noise, and the Kalman filter is used for filtering; If the flow velocity at any time point in the signal dataset exceeds the flow velocity threshold, it indicates that the flow velocity is noise, and the Kalman filter is used for filtering.

[0008] Preferably, the storage backup process is as follows: Substitute the denoised ultrasonic stress wave signal, pressure signal, temperature signal, vibration signal, and flow signal into the unified time axis in chronological order from earliest to latest , the expression of the preprocessed signal dataset is , represents the preprocessed ultrasonic stress wave signal, represents the preprocessed pressure signal, represents the preprocessed temperature signal, represents the preprocessed vibration signal, represents the preprocessed flow signal, represents the time point of each signal on the time axis in.

[0009] Preferably, the calculation process of the attenuation coefficient is as follows: According to the time axis , mark the ultrasonic stress wave intensity of the th node as , mark the ultrasonic stress wave frequency of the th node as , mark the pressure value of the th node as , mark the temperature value of the th node as , mark the vibration intensity of the th node as , mark the vibration frequency of the th node as , mark the The flow value of a node is marked as , and the flow velocity of the -th node is marked as ; In the formula, represents the initial ultrasonic intensity emitted by the detection device, represents the difference between the initial ultrasonic intensity and the ultrasonic stress wave intensity, that is, the ultrasonic intensity attenuation amount, represents the time interval between the emission time point and the -th node on the time axis , represents the ultrasonic intensity attenuation speed, represents the evaluation weight for the ultrasonic intensity attenuation speed, represents the initial ultrasonic frequency emitted by the detection device, represents the difference between the initial ultrasonic frequency and the ultrasonic stress wave frequency, that is, the ultrasonic frequency attenuation amount, represents the ultrasonic frequency attenuation speed, represents the evaluation weight for the ultrasonic frequency attenuation speed, represents the evaluation weight for the pressure value, represents the evaluation weight for the temperature value, represents the evaluation weight for the vibration intensity, represents the evaluation weight for the vibration frequency, represents the evaluation weight for the flow value, represents the evaluation weight for the flow velocity, , represents according to , , , , , , and weights, and the attenuation coefficient of the -th node is obtained comprehensively.

[0010] Preferably, the ratio data group has the following calculation formula: In the formula, represents the total number of nodes on the time axis , represents the proportional relationship between the ultrasonic stress wave intensity and the flow value when changing with time, represents the proportional relationship between the ultrasonic stress wave frequency and the flow value when changing with time, Indicates the proportional relationship between the pressure value and the flow rate when changing with time, Indicates the proportional relationship between the pressure value and the temperature value when changing with time, Indicates the proportional relationship between the vibration intensity and the flow rate when changing with time, Indicates the proportional relationship between the vibration frequency and the flow rate when changing with time.

[0011] Preferably, the proportional data set When the ultrasonic stress wave intensity and the flow value show an inverse relationship with time change, it indicates that there is a risk of seal failure in the rotating seal device; when the ultrasonic stress wave frequency and the flow value show a direct relationship with time change, it indicates that there is a risk of seal failure in the rotating seal device; when the pressure value and the flow rate show a direct relationship with time change, it indicates that there is a risk of seal failure in the rotating seal device; when the pressure value and the temperature value show an inverse relationship with time change, it indicates that there is a risk of seal failure in the rotating seal device; when the vibration intensity and the flow rate show an inverse relationship with time change, it indicates that there is a risk of seal failure in the rotating seal device; when the vibration frequency and the flow rate show an inverse relationship with time change, it indicates that there is a risk of seal failure in the rotating seal device.

[0012] Preferably, the service life The calculation formula is as follows: In the formula, Represents the standard life of the rotating seal device, Represents the time axis In it, the total number of times when there is a risk of seal failure in the rotating seal device, Represents the conversion coefficient, Represents converting the total number of times when there is a risk of seal failure in the rotating seal device into the attenuation life.

[0013] Preferably, when the attenuation coefficient exceeds the attenuation threshold it indicates that there is a risk of instability in the structure of the rotating seal device, and the degree of interference during signal acquisition by the detection device is serious. It is recommended to optimize the material selection of the rotating seal device.

[0014] Preferably, when the service life is lower than the life threshold it indicates that there is a risk of fatigue loss in the structure of the rotating seal device. It is recommended to replace the components in advance.

[0015] Compared with the prior art, the present invention provides a rotating machinery seal detection system based on ultrasonic signals, which has the following beneficial effects: 1. The present invention connects the signal acquisition module to the network connection detection device to obtain ultrasonic stress wave signals, pressure signals, temperature signals, vibration signals, and flow signals generated during the operation of the rotating seal device, and classifies and forms a signal data set. The processing and backup module is provided with a unified time axis , and then preprocesses and stores and backs up the signals at all time points in the signal data set to accurately predict the attenuation behavior of the device under different working conditions. The intelligent analysis module analyzes the degree of interference suffered when the detection device collects signals based on the preprocessed signal data set, and generates a corresponding attenuation coefficient , which helps to understand the influence suffered by the ultrasonic signal during transmission. The intelligent analysis module analyzes the proportional relationship of different signals changing with time and generates a corresponding proportional data group , to judge whether there is a risk of seal failure in the rotating seal device, and the multi-dimensional evaluation has high detection accuracy.

[0016] 2. The present invention predicts the remaining service life of the rotating seal device through the intelligent analysis module according to the judgment result , identifies potential failure problems of the device in advance, optimizes the device maintenance and replacement cycle, reduces downtime. The intelligent analysis module is provided with attenuation thresholds within a fixed range and life thresholds , and then combines the attenuation coefficient and the service life to judge whether there is a risk of instability in the structure of the rotating seal device and a risk of fatigue loss. When the attenuation coefficient exceeds the attenuation threshold , it indicates that there is a risk of instability in the structure of the rotating seal device, and the degree of interference suffered when the detection device collects signals is serious. It is recommended to optimize the material selection of the rotating seal device. When the service life is lower than the life threshold , it indicates that there is a risk of fatigue loss in the structure of the rotating seal device, and it is recommended to replace the parts in advance, thereby improving the reliability and working efficiency of the device, and the intelligent prediction has high production safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0019] Since the traditional rotating machinery seal detection system is difficult to accurately evaluate the seal performance and working state of rotating machinery and cannot detect potential fault risks in advance when dealing with complex and changeable equipment working conditions, there is a high risk of failure or malfunction during actual operation and it cannot continuously meet the requirements of safe production. Therefore, a rotating machinery seal detection system based on ultrasonic signals is provided. Please refer to Figure 1 , the rotating machinery seal detection system based on ultrasonic signals includes a signal acquisition module, a processing and backup module, and an intelligent analysis module; The signal acquisition module is connected to the detection device through a network to obtain ultrasonic stress wave signals, pressure signals, temperature signals, vibration signals, and flow signals generated during the operation of the rotating sealing device, and classify and form a signal data set. The detection device includes an AE probe, a pressure sensor, a temperature sensor, a vibration sensor, and a flowmeter. The expression of the signal data set is , represents the ultrasonic stress wave signal generated during the operation of the rotating sealing device, including ultrasonic stress wave intensity and ultrasonic stress wave frequency, represents the pressure signal generated during the operation of the rotating sealing device, that is, the pressure value, represents the temperature signal generated during the operation of the rotating sealing device, that is, the temperature value, represents the vibration signal generated during the operation of the rotating sealing device, including vibration intensity and vibration frequency, represents the flow signal generated during the operation of the rotating sealing device, including flow value and flow velocity. Comprehensively collecting multi-dimensional signal data can intuitively reflect the working state of rotating machinery. Especially when detecting seal performance, it can provide more accurate and reliable diagnostic basis; The processing and backup module is set with a unified time axis , and then preprocess and store the backup for the signals at all time points in the signal data set; The preprocessing process is as follows: Set fixed-range thresholds for ultrasonic stress wave intensity, ultrasonic stress wave frequency, pressure, temperature, vibration intensity, vibration frequency, flow, and flow velocity to remove signal noise in the signal data set; If the ultrasonic stress wave intensity at any time point in the signal data set exceeds the ultrasonic stress wave signal intensity threshold, it means that the ultrasonic stress wave intensity is noise and is filtered using a Kalman filter; If the ultrasonic stress wave frequency at any time point in the signal data set exceeds the ultrasonic stress wave signal frequency threshold, it means that the ultrasonic stress wave frequency is noise and is filtered using a Kalman filter; If the pressure value at any time point in the signal data set exceeds the pressure threshold, it means that the pressure value is noise and is filtered using a Kalman filter; If the temperature value at any time point in the signal dataset exceeds the temperature threshold, it indicates that the temperature value is noise and is filtered using a Kalman filter; If the vibration intensity at any time point in the signal dataset exceeds the vibration intensity threshold, it indicates that the vibration intensity is noise and is filtered using a Kalman filter; If the vibration frequency at any time point in the signal dataset exceeds the vibration frequency threshold, it indicates that the vibration frequency is noise and is filtered using a Kalman filter; If the flow value at any time point in the signal dataset exceeds the flow threshold, it indicates that the flow value is noise and is filtered using a Kalman filter; If the flow velocity at any time point in the signal dataset exceeds the flow velocity threshold, it indicates that the flow velocity is noise and is filtered using a Kalman filter, which can more accurately predict the attenuation behavior of the device under different working conditions, thereby improving the reliability and operating efficiency of the system; The storage backup process is as follows: Substitute the denoised ultrasonic stress wave signal, pressure signal, temperature signal, vibration signal, and flow signal into the unified time axis in chronological order from earliest to latest , and the expression of the preprocessed signal dataset is , represents the preprocessed ultrasonic stress wave signal, represents the preprocessed pressure signal, represents the preprocessed temperature signal, represents the preprocessed vibration signal, represents the preprocessed flow signal, represents the time point of each signal on the time axis ; The intelligent analysis module includes a signal analysis unit, a seal prediction unit, and a detection management unit. The signal analysis unit analyzes the degree of interference when the detection device collects signals based on the preprocessed signal dataset and generates the corresponding attenuation coefficient , and its calculation process is as follows: According to the time axis , mark the ultrasonic stress wave intensity of the -th node as , mark the ultrasonic stress wave frequency of the -th node as , mark the pressure value of the -th node as , mark the temperature value of the -th node as , mark the vibration intensity of the -th node as , mark the vibration intensity of the The vibration frequency of the th node is marked as ; the flow value of the th node is marked as ; the flow velocity of the th node is marked as In the formula, represents the initial ultrasonic intensity emitted by the detection device, represents the difference between the initial ultrasonic intensity and the ultrasonic stress wave intensity, that is, the ultrasonic intensity attenuation amount, represents the time interval between the emission time point and the th node on the time axis ; represents the ultrasonic intensity attenuation speed, represents the evaluation weight for the ultrasonic intensity attenuation speed, represents the initial ultrasonic frequency emitted by the detection device, represents the difference between the initial ultrasonic frequency and the ultrasonic stress wave frequency, that is, the ultrasonic frequency attenuation amount, represents the ultrasonic frequency attenuation speed, represents the evaluation weight for the ultrasonic frequency attenuation speed, represents the evaluation weight for the pressure value, represents the evaluation weight for the temperature value, represents the evaluation weight for the vibration intensity, represents the evaluation weight for the vibration frequency, represents the evaluation weight for the flow value, represents the evaluation weight for the flow velocity, ; represents the comprehensive , , , , , , and weights to obtain the attenuation coefficient of the th node. The analysis of the attenuation coefficient helps to understand the influence on the ultrasonic signal during transmission and can effectively distinguish whether there is an abnormality in the device operation state; The seal prediction unit analyzes the proportional relationship of different signals over time based on the preprocessed signal dataset and generates a corresponding proportional data group , and its calculation formula is as follows: In the formula, represents the time axis The total number of nodes in represents the proportional relationship between the ultrasonic stress wave intensity and the flow value when changing with time, represents the proportional relationship between the ultrasonic stress wave frequency and the flow value when changing with time, represents the proportional relationship between the pressure value and the flow velocity when changing with time, represents the proportional relationship between the pressure value and the temperature value when changing with time, represents the proportional relationship between the vibration intensity and the flow velocity when changing with time, represents the proportional relationship between the vibration frequency and the flow velocity when changing with time; The seal prediction unit determines whether there is a risk of seal failure in the rotary seal device according to the proportional data group , and judges whether there is a risk of seal failure in the rotary seal device. When the flow rate increases, the action of the fluid movement on the seal device is strengthened, resulting in an increase in the stress wave intensity of the ultrasonic wave. Therefore, in the proportional data group , when the ultrasonic stress wave intensity and the flow value show an inverse relationship with time, it indicates that there is a risk of seal failure in the rotary seal device. In most cases, when the flow rate increases in the rotary seal device, the turbulence of the fluid increases, resulting in a decrease in the ultrasonic wave frequency. Therefore, when the ultrasonic stress wave frequency and the flow value show a direct relationship with time, it indicates that there is a risk of seal failure in the rotary seal device. When the rotary seal device is operating normally, when the flow velocity increases, the kinetic energy of the fluid increases and the pressure tends to decrease. Therefore, when the pressure value and the flow velocity show a direct relationship with time, it indicates that there is a risk of seal failure in the rotary seal device. As the temperature rises, the molecular movement of the fluid intensifies, resulting in an increase in pressure. Therefore, when the pressure value and the temperature value show an inverse relationship with time, it indicates that there is a risk of seal failure in the rotary seal device. As the flow velocity increases, the turbulence and dynamic action of the fluid increase, resulting in stronger vibration of the device. Therefore, when the vibration intensity and the flow velocity show an inverse relationship with time, it indicates that there is a risk of seal failure in the rotary seal device. At the same time, with the increase of fluid turbulence, aerodynamic effects and flow disturbances, the vibration frequency of the device usually also increases. Therefore, when the vibration frequency and the flow velocity show an inverse relationship with time, it indicates that there is a risk of seal failure in the rotary seal device, and the multi-dimensional evaluation has high detection accuracy; The detection management unit predicts the remaining service life of the rotary seal device according to the judgment result , and its calculation formula is as follows: In the formula, represents the standard life of the rotary seal device, represents the time axis in which, the total number of times when there is a risk of seal failure in the rotary seal device, represents the conversion coefficient, Converting the total number of times indicating the risk of sealing failure in the rotating seal device into the attenuation life realizes the early identification of potential failure problems of the device, optimizes the device maintenance and replacement cycle, and reduces the downtime. The detection management unit is set with a fixed range of attenuation thresholds and life thresholds . Then, combined with the attenuation coefficient and the service life , it is judged whether there are risks of instability and fatigue loss in the structure of the rotating seal device. When the attenuation coefficient exceeds the attenuation threshold , it indicates that there is a risk of instability in the structure of the rotating seal device, and the degree of interference during signal acquisition by the detection device is serious. It is recommended to optimize the material selection of the rotating seal device. When the service life is lower than the life threshold , it indicates that there is a risk of fatigue loss in the structure of the rotating seal device. It is recommended to replace the parts in advance, thereby improving the reliability and working efficiency of the device, and the intelligent prediction has high production safety.

[0020] Example 1: In this experiment, a pump with a flow rate of 1000 m³ / h was selected as the research object. After detection, the ultrasonic intensity emitted was 100 W / m², the emission frequency was 50 Hz, the ultrasonic stress wave intensity actually collected by the detection device was 90 W / m², the ultrasonic stress wave frequency was 45 Hz, the time interval was 5 s, the pressure value at the current time point was 1.2 Pa, the temperature value at the current time point was 15 °C, the vibration intensity at the current time point was 0.8 g, the vibration frequency at the current time point was 0.6 m / s, the flow rate value at the current time point was 0.9 m³ / s, and the flow velocity at the current time point was 1.2 m³ / s. The attenuation coefficient of this pump is calculated as follows: In the formula, represents the difference between the initial ultrasonic intensity and the ultrasonic stress wave intensity, that is, the ultrasonic intensity attenuation amount. represents the ultrasonic intensity attenuation speed. represents the evaluation weight for the ultrasonic intensity attenuation speed. represents the difference between the initial ultrasonic frequency and the ultrasonic stress wave frequency, that is, the ultrasonic frequency attenuation amount. represents the ultrasonic frequency attenuation speed. represents the evaluation weight for the ultrasonic frequency attenuation speed. represents the evaluation weight for the pressure value. represents the evaluation weight for the temperature value. represents the evaluation weight for the vibration intensity. represents the evaluation weight for the vibration frequency, represents the evaluation weight for the flow value, represents the evaluation weight for the flow velocity. According to the weights, the attenuation coefficient of the machine pump at the current time point is calculated as .

[0021] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A rotating machinery seal detection system based on ultrasonic signals, characterized in that: It includes a signal acquisition module, a processing and backup module, and an intelligent analysis module; The signal acquisition module is connected to the detection device through the network to obtain ultrasonic stress wave signals, pressure signals, temperature signals, vibration signals, and flow signals generated during the operation of the rotating seal device, and classify and form a signal data set; The processing backup module is provided with a unified timeline , and then preprocesses and stores backups for the signals at all time points in the signal dataset; The intelligent analysis module includes a signal analysis unit, a seal prediction unit, and a detection management unit. The signal analysis unit analyzes the degree of interference received during signal acquisition by the detection device based on the preprocessed signal dataset and generates a corresponding attenuation coefficient. The seal prediction unit analyzes the proportional relationship of different signals over time based on the preprocessed signal dataset and generates a corresponding proportional data group. and determines whether there is a risk of seal failure in the rotating seal device. The detection management unit predicts the remaining service life of the rotating seal device based on the judgment result. The detection management unit is set with an attenuation threshold within a fixed range. and a life threshold. Combined with the attenuation coefficient and the service life. it determines whether there are risks of structural instability and fatigue loss in the rotating seal device and outputs corresponding management suggestions.

2. The ultrasonic signal-based rotating machinery seal detection system according to claim 1, wherein: The detection device includes an AE probe, a pressure sensor, a temperature sensor, a vibration sensor and a flowmeter. The expression of the signal data set is , represents the ultrasonic stress wave signal generated during the operation of the rotating seal device, including the ultrasonic stress wave intensity and the ultrasonic stress wave frequency. represents the pressure signal generated during the operation of the rotating seal device, which is the pressure value. represents the temperature signal generated during the operation of the rotating seal device, which is the temperature value. represents the vibration signal generated during the operation of the rotating seal device, including the vibration intensity and the vibration frequency. represents the flow signal generated during the operation of the rotating seal device, including the flow value and the flow velocity.

3. The ultrasonic signal-based rotating machinery seal detection system according to claim 2, wherein: The preprocessing process is as follows: Set fixed-range thresholds for ultrasonic stress wave intensity, ultrasonic stress wave frequency, pressure, temperature, vibration intensity, vibration frequency, flow rate, and flow velocity to remove signal noise in the signal data set; If the ultrasonic stress wave intensity at any time point in the signal data set exceeds the ultrasonic stress wave signal intensity threshold, it means that the ultrasonic stress wave intensity is noise and is filtered using a Kalman filter; If the ultrasonic stress wave frequency at any time point in the signal data set exceeds the ultrasonic stress wave signal frequency threshold, it means that the ultrasonic stress wave frequency is noise and is filtered using a Kalman filter; If the pressure value at any time point in the signal data set exceeds the pressure threshold, it means that the pressure value is noise and is filtered using a Kalman filter; If the temperature value at any time point in the signal data set exceeds the temperature threshold, it means that the temperature value is noise and is filtered using a Kalman filter; If the vibration intensity at any time point in the signal data set exceeds the vibration intensity threshold, it means that the vibration intensity is noise and is filtered using a Kalman filter; If the vibration frequency at any time point in the signal data set exceeds the vibration frequency threshold, it means that the vibration frequency is noise and is filtered using a Kalman filter; If the flow rate value at any time point in the signal data set exceeds the flow rate threshold, it means that the flow rate value is noise and is filtered using a Kalman filter; If the flow velocity at any time point in the signal data set exceeds the flow velocity threshold, it means that the flow velocity is noise and is filtered using a Kalman filter.

4. The ultrasonic signal-based rotating machinery seal detection system according to claim 3, wherein: The storage and backup process is as follows: Substitute the denoised ultrasonic stress wave signal, pressure signal, temperature signal, vibration signal, and flow signal into a unified time axis in chronological order from early to late , and the expression of the preprocessed signal dataset is , represents the preprocessed ultrasonic stress wave signal, represents the preprocessed pressure signal, represents the preprocessed temperature signal, represents the preprocessed vibration signal, represents the preprocessed flow signal, represents the time point of each signal on the time axis .

5. The ultrasonic signal-based rotating machinery seal detection system according to claim 4, wherein: The attenuation coefficient The calculation process is as follows: According to the time axis , mark the ultrasonic stress wave intensity of the th node as , mark the ultrasonic stress wave frequency of the th node as , mark the pressure value of the th node as , mark the temperature value of the th node as , mark the vibration intensity of the th node as , mark the vibration frequency of the th node as , mark the flow rate value of the th node as , mark the flow velocity of the th node as ; In the formula, represents the initial ultrasonic intensity emitted by the detection device, represents the difference between the initial ultrasonic intensity and the ultrasonic stress wave intensity, that is, the ultrasonic intensity attenuation amount, represents the time point of emission and the time axis in the th node interval duration, represents the ultrasonic intensity attenuation rate, represents the evaluation weight for the ultrasonic intensity attenuation rate, represents the initial ultrasonic frequency emitted by the detection device, represents the difference between the initial ultrasonic frequency and the ultrasonic stress wave frequency, that is, the ultrasonic frequency attenuation amount, represents the ultrasonic frequency attenuation rate, represents the evaluation weight for the ultrasonic frequency attenuation rate, represents the evaluation weight for the pressure value, represents the evaluation weight for the temperature value, represents the evaluation weight for the vibration intensity, represents the evaluation weight for the vibration frequency, represents the evaluation weight for the flow value, represents the evaluation weight for the flow velocity, , represents according to , , , , , , and weights, comprehensively obtain the attenuation coefficient of the th node.

6. The ultrasonic signal-based rotating machinery seal detection system according to claim 5, wherein: The proportional data set The calculation formula is as follows: In the formula, represents the total number of nodes in the time axis, represents the proportional relationship between the ultrasonic stress wave intensity and the flow value when changing with time, represents the proportional relationship between the ultrasonic stress wave frequency and the flow value when changing with time, represents the proportional relationship between the pressure value and the flow velocity when changing with time, represents the proportional relationship between the pressure value and the temperature value when changing with time, represents the proportional relationship between the vibration intensity and the flow velocity when changing with time, represents the proportional relationship between the vibration frequency and the flow velocity when changing with time.

7. The ultrasonic signal-based rotating machinery seal detection system according to claim 6, wherein: The proportional data set When the ultrasonic stress wave intensity and the flow rate value show an inverse relationship with time, it indicates that there is a risk of seal failure in the rotating seal device. When the ultrasonic stress wave frequency and the flow rate value show a direct relationship with time, it indicates that there is a risk of seal failure in the rotating seal device. When the pressure value and the flow velocity show a direct relationship with time, it indicates that there is a risk of seal failure in the rotating seal device. When the pressure value and the temperature value show an inverse relationship with time, it indicates that there is a risk of seal failure in the rotating seal device. When the vibration intensity and the flow velocity show an inverse relationship with time, it indicates that there is a risk of seal failure in the rotating seal device. When the vibration frequency and the flow velocity show an inverse relationship with time, it indicates that there is a risk of seal failure in the rotating seal device.

8. The ultrasonic signal-based rotating machinery seal detection system according to claim 7, characterized in that: The service life The calculation formula is as follows: In the formula, represents the standard life of the rotary seal device, represents the time axis is the total number of times that there is a risk of seal failure in the rotary seal device, represents the conversion coefficient, represents converting the total number of times that there is a risk of seal failure in the rotary seal device into the attenuation life.

9. The ultrasonic signal-based rotating machinery seal detection system according to claim 8, wherein: The attenuation coefficient exceeds the attenuation threshold indicating that there is a risk of instability in the structure of the rotating seal device, and the degree of interference during signal acquisition by the detection device is serious. It is recommended to optimize the material selection of the rotating seal device.

10. The ultrasonic signal-based rotating machinery seal detection system according to claim 9, wherein: The service life is lower than the life threshold , indicating that there is a risk of fatigue loss in the structure of the rotary seal device, and it is recommended to replace the parts in advance.

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