Diagnosis method, device and equipment for abnormal gas-solid flow in inclined pipe and storage medium

Abstract

The application provides a method and device for diagnosing abnormal gas-solid flow in a slanted pipe, electronic equipment and a storage medium, wherein the method comprises: acquiring pressure pulsations of fluids at three places, i.e., upstream, midstream and downstream, in the slanted pipe in real time, and performing data retrieval; determining a frequency domain signal of the pressure pulsations according to a time domain signal of the pressure pulsations retrieved by the data retrieval; performing coherence analysis on the pressure pulsations of the fluids at the upstream and midstream and the midstream and downstream in the slanted pipe based on the frequency domain signal of the pressure pulsations, and obtaining a first coherence coefficient and a second coherence coefficient respectively; determining whether wave transmission occurs in the slanted pipe according to a size relationship of the first coherence coefficient, the second coherence coefficient and a preset first fixed value; and if the wave transmission occurs in the slanted pipe, performing causality judgment based on the time domain signals of the pressure pulsations of the fluids at the three places, i.e., the upstream, the midstream and the downstream, in the slanted pipe, and determining a flow direction of the wave in the slanted pipe.

Description

Technical Field

[0001] This invention belongs to the technical field of petrochemicals, specifically relating to a method, apparatus, equipment, and storage medium for diagnosing abnormal gas-solid flow in an inclined tube. Background Technology

[0002] In the petrochemical industry, inclined tubes are the downward-flowing part of the particle circulation loop in a circulating fluidized bed. Particles are conveyed from the bottom of the fluidized bed to the bottom inlet of the riser via the inclined tubes, or returned to the fluidized bed from the particle recovery system to complete the circulation. To facilitate the control of the particle feed rate, inclined tubes are usually equipped with valves to adjust the particle mass flow rate. Therefore, the inclined tubes and valves together constitute the inclined tube valve system for particle conveying.

[0003] The flow characteristics of inclined tubes differ from those of vertical risers and also from those of risers. The downward particle flow within an inclined tube is influenced by gravity and the constraints of the inclined tube wall, resulting in diverse flow patterns of the gas-solid two-phase flow, sometimes exhibiting a single flow regime or a coexistence of several. This flow process is highly variable, manifesting as transitions between liquid phases and fluctuations in the flow process, leading to nonlinear dynamic changes in flow parameters (such as particle velocity and concentration, and pressure pulsations).

[0004] Under the influence of valves, such as changes in valve opening and installation angle affecting the upstream flow pattern and particle mass flow rate, gas-solid transport exhibits different flow characteristics, easily leading to flow instability. In an unsteady state within an inclined tube, gas, due to its physical properties, tends to surge upwards and interact strongly with descending particles, inducing pressure pulsations. When these pulsations are strong, they can even induce severe mechanical vibrations in the equipment, leading to serious resonance, safety hazards, and reduced pipeline lifespan.

[0005] Currently, the monitoring of flow patterns inside inclined tubes is mainly based on the analysis of time-averaged flow parameters, which is a macroscopic understanding of the flow pattern. It can only observe the general flow pattern inside the inclined tube, but cannot detect the specific flow behavior inside the inclined tube, making it difficult to detect flow anomalies inside the inclined tube. Summary of the Invention

[0006] To address the problem that current monitoring of flow patterns within inclined tubes can only observe the general flow pattern and cannot detect specific flow behaviors, thus making it difficult to detect flow anomalies, this application provides a method, device, equipment, and storage medium for diagnosing abnormal gas-solid flow within inclined tubes. This method can determine whether abnormal flow conditions have occurred in the gas-solid flow within the inclined tube and whether it has triggered mechanical resonance in the pipeline. This reduces equipment safety hazards caused by unstable gas-solid flow within the inclined tube and ensures the normal service life of the equipment.

[0007] In a first aspect, this application provides a method for diagnosing abnormal gas-solid flow in an inclined tube, including:

[0008] Real-time acquisition of pressure pulsations of fluid at the upstream, midstream, and downstream points inside the inclined tube, and retrieval of the data;

[0009] The frequency domain signal of the pressure pulsation is determined based on the time domain signal of the pressure pulsation retrieved from the data.

[0010] Based on the frequency domain signal of the pressure pulsation, coherence analysis is performed on the pressure pulsation of the fluid in the upstream and midstream and midstream and downstream of the inclined tube, respectively, to obtain the first coherence coefficient and the second coherence coefficient.

[0011] The transmission of fluctuations inside the inclined tube is determined based on the relationship between the first coherence coefficient, the second coherence coefficient, and a preset first fixed value.

[0012] If a wave propagates inside the inclined tube, a causal judgment is made based on the time-domain signals of the pressure pulsations of the fluid at the upper, middle, and lower reaches of the inclined tube to determine the flow direction of the wave inside the inclined tube.

[0013] In some embodiments, the method further includes:

[0014] The vibration displacement of the inclined tube wall is acquired in real time and the data is retrieved.

[0015] The frequency domain signal of the vibration displacement is determined based on the time domain signal of the vibration displacement obtained from the data retrieval.

[0016] The vibration displacement is compared and analyzed with the historical vibration displacement range of the inclined tube to determine whether the vibration displacement deviates from the numerical range.

[0017] If the vibration displacement deviates from the numerical range, it is determined whether the inclined tube has experienced severe vibration based on whether there is a strong energy value in the frequency domain signal of the vibration displacement.

[0018] If it is determined that the inclined tube has experienced severe vibration, then the time-domain signal of the pressure pulsation at the upstream end of the inclined tube is correlated with the time-domain signal of the vibration displacement to obtain the correlation coefficient.

[0019] The cause of vibration of the inclined tube is determined based on the relationship between the correlation coefficient and the preset second fixed value.

[0020] In some embodiments, the coherence analysis of the pressure pulsations of the fluid in the upstream and midstream, and midstream and downstream sections of the inclined tube based on the frequency domain signal, to obtain a first coherence coefficient and a second coherence coefficient, includes:

[0021] The frequency domain signal of the pressure pulsation is sliced ​​and its features are extracted to obtain the spectral features of the pressure pulsation.

[0022] Based on the spectral characteristics of the pressure pulsation, coherence analysis is performed on the pressure pulsation of the fluid in the upstream and midstream, and midstream and downstream sections of the inclined tube, to obtain the first coherence coefficient and the second coherence coefficient, respectively.

[0023] In some embodiments, determining whether the transmission of fluctuations occurs inside the inclined tube based on the relationship between the first coherence coefficient, the second coherence coefficient, and a preset first fixed value includes: comparing the first coherence coefficient and the second coherence coefficient with the first fixed value; if the first coherence coefficient or the second coherence coefficient is greater than the first fixed value, then it is determined that the transmission of fluctuations occurs inside the inclined tube.

[0024] In some embodiments, the causal determination is based on the transmissibility of time-domain signals, and the flow direction of the fluctuation inside the inclined tube is determined according to the order of occurrence of similar curve features in the time-domain signals of the pressure pulsations of the fluid at the upper, middle and lower reaches inside the inclined tube.

[0025] In some embodiments, the data retrieval is stream computing.

[0026] Secondly, this application provides a diagnostic device for abnormal gas-solid flow in an inclined tube, including a signal processing processor, the signal processor comprising:

[0027] The signal receiving module is used to receive the pressure pulsations of the fluid at the upper, middle and lower reaches inside the inclined tube in real time and to retrieve the data.

[0028] The first calculation module is used to determine the frequency domain signal of the pressure pulsation based on the time domain signal of the pressure pulsation retrieved from the data.

[0029] The second calculation module is used to perform coherence analysis on the pressure pulsation of the fluid in the upstream and midstream and midstream and downstream of the inclined tube based on the frequency domain signal of the pressure pulsation, and obtain the first coherence coefficient and the second coherence coefficient respectively.

[0030] The first judgment module is used to determine whether the transmission of fluctuations occurs inside the inclined tube based on the relationship between the first coherence coefficient, the second coherence coefficient and the preset first fixed value.

[0031] The second judgment module is used to determine the flow direction of the fluctuation inside the inclined tube by performing a causal judgment based on the time-domain signals of the pressure pulsations of the fluid at the upper, middle and lower reaches of the inclined tube if the transmission of fluctuations occurs inside the tube.

[0032] In some embodiments, the signal receiving module is further configured to receive the vibration displacement of the inclined tube wall in real time and retrieve the data.

[0033] The first calculation module is further configured to determine the frequency domain signal of the vibration displacement based on the time domain signal of the vibration displacement retrieved from the data;

[0034] The signal processing processor also includes:

[0035] The third judgment module is used to compare and analyze the vibration displacement with the historical vibration displacement range of the inclined tube to determine whether the vibration displacement deviates from the numerical range.

[0036] The fourth judgment module is used to determine whether the inclined tube has experienced severe vibration if the vibration displacement deviates from the numerical range, based on whether there is a strong energy value in the frequency domain signal of the vibration displacement.

[0037] The third calculation module is used to perform correlation analysis between the time-domain signal of the pressure pulsation at the upstream end of the inclined tube and the time-domain signal of the vibration displacement if it is determined that the inclined tube has experienced severe vibration, and to obtain the correlation coefficient.

[0038] The fifth judgment module is used to determine the cause of vibration of the inclined tube based on the relationship between the correlation coefficient and the preset second fixed value.

[0039] Thirdly, this application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, which, when executed by the processor, performs the gas-solid abnormal flow diagnosis method in the inclined tube provided in the first aspect.

[0040] Fourthly, this application provides a storage medium storing a computer program that can be executed by one or more processors and can be used to implement the gas-solid abnormal flow diagnosis method in the inclined tube provided in the first aspect.

[0041] The gas-solid abnormal flow diagnosis method provided in this application can simply and effectively determine whether the gas-solid flow in the inclined tube has generated an abnormal flow state and whether it has caused mechanical resonance in the pipeline, so as to reduce the equipment safety hazards caused by the unstable gas-solid flow in the inclined tube and ensure the normal service life of the equipment. Attached Figure Description

[0042] The scope of this disclosure can be better understood by reading the following detailed description of exemplary embodiments in conjunction with the accompanying drawings. The accompanying drawings are:

[0043] Figure 1 This is a schematic diagram illustrating the implementation process of a gas-solid abnormal flow diagnosis method in an inclined tube, as provided in Embodiment 1 of this application.

[0044] Figure 2 This is a schematic diagram illustrating another implementation process of a gas-solid abnormal flow diagnosis method in an inclined tube provided in Embodiment 2 of this application;

[0045] Figure 3 This is a schematic diagram of a gas-solid abnormal flow diagnostic device in an inclined tube provided in Embodiment 3 of this application;

[0046] Figure 4 This is a schematic diagram of a gas-solid abnormal flow diagnostic device in an inclined tube, provided in Embodiment 3 of this application.

[0047] Figure 5 This is a schematic diagram of the signal processing processor in a gas-solid abnormal flow diagnostic device in an inclined tube, provided in Embodiment 3 of this application;

[0048] Figure 6 This is a schematic diagram of the composition structure of the electronic device provided in Embodiment 4 of this application. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0050] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0051] If the application documents contain similar descriptions such as "first, second, third", the following explanation shall be added: In the following description, the terms "first, second, third" are used only to distinguish similar objects and do not represent a specific order of objects. It is understood that "first, second, third" may be interchanged in a specific order or sequence where permitted, so that the embodiments of this application described herein can be implemented in an order other than that illustrated or described herein.

[0052] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0053] Example 1

[0054] The prior art addresses the problem that monitoring the flow state within an inclined tube only allows for the observation of the general flow pattern, failing to detect specific flow behavior and thus making it difficult to identify flow anomalies. For example... Figure 1 As shown, this application provides a method for diagnosing abnormal gas-solid flow in an inclined tube. This method is applied to an electronic device, which may be a server, mobile terminal, computer, cloud platform, etc. The data processing functionality provided in this application embodiment can be implemented by the processor of the electronic device calling program code, wherein the program code can be stored in a computer storage medium. The method for diagnosing abnormal gas-solid flow in an inclined tube includes:

[0055] Step S100: Real-time acquisition of pressure pulsations of fluid at the upper, middle and lower reaches inside the inclined tube, and data retrieval.

[0056] In some embodiments, the data retrieval employs stream computing. Stream computing is well-suited for real-time analysis of large-scale flowing data in constantly changing motion, capturing potentially useful information and sending it to the next computing node. Specifically, in this embodiment, using stream computing for data retrieval enables the rapid and continuous transmission of the pressure pulsations of the fluid at the upstream, midstream, and downstream points inside the inclined tube to the next processing node in real time.

[0057] Step S200: Determine the frequency domain signal of the pressure pulsation based on the time domain signal of the pressure pulsation retrieved from the data.

[0058] Specifically, the time-domain signal of the pressure pulsation is converted into a frequency-domain signal through time-frequency transformation. The time-frequency transformation method can employ real-time Fourier transform, wavelet transform, etc. This embodiment uses real-time Fourier transform to convert the time-domain signal of the pressure pulsation retrieved from the data into the corresponding frequency-domain signal.

[0059] Step S300: Based on the frequency domain signal of the pressure pulsation, perform coherence analysis on the pressure pulsation of the fluid in the upstream and midstream and midstream and downstream of the inclined tube, and obtain the first coherence coefficient and the second coherence coefficient respectively.

[0060] In some embodiments, step S300, "based on the frequency domain signal of the pressure pulsation, performing coherence analysis on the pressure pulsation of the fluid in the upstream and midstream, and midstream and downstream sections of the inclined tube, to obtain the first coherence coefficient and the second coherence coefficient respectively," includes:

[0061] Step S310: Slice and extract features from the frequency domain signal of the pressure pulsation to obtain the spectral features of the pressure pulsation.

[0062] Step S320: Based on the spectral characteristics of the pressure pulsation, perform coherence analysis on the pressure pulsation of the fluid in the upstream and midstream, and in the middle and downstream parts of the inclined tube, and obtain the first coherence coefficient and the second coherence coefficient respectively.

[0063] In some embodiments, the LSTM (Long Short-Term Memory) algorithm is used to perform coherence analysis on the pressure pulsations of the fluid in the upstream and midstream, and midstream and downstream sections of the inclined tube.

[0064] Step S400: Determine whether fluctuation transmission occurs inside the inclined tube based on the relationship between the first coherence coefficient, the second coherence coefficient and the preset first fixed value.

[0065] In some embodiments, step S400 includes: comparing both the first coherence coefficient and the second coherence coefficient with the first fixed value; if either the first coherence coefficient or the second coherence coefficient is greater than the first fixed value, then the transmission of fluctuations within the inclined tube is determined. The first coherence coefficient represents the similarity between the frequency domain signals of pressure pulsations at the upstream and midstream locations within the inclined tube; the second coherence coefficient represents the similarity between the frequency domain signals of pressure pulsations at the midstream and downstream locations within the inclined tube. By comparing both the first and second coherence coefficients with the first fixed value, it can be determined whether there is high similarity between the frequency domain signals of pressure pulsations at the upstream, midstream, and downstream locations within the inclined tube. If so, the transmission of fluctuations within the inclined tube can be determined.

[0066] Step S500: If the transmission of fluctuations occurs inside the inclined tube, a causal judgment is made based on the time-domain signals of the pressure pulsations of the fluid at the upper, middle and lower reaches of the inclined tube to determine the flow direction of the fluctuations inside the inclined tube.

[0067] In some embodiments, the causal determination is based on the transmissibility of time-domain signals, and the flow direction of the fluctuation inside the inclined tube is determined according to the order of occurrence of similar curve features in the time-domain signals of the pressure pulsations of the fluid at the upper, middle and lower parts inside the inclined tube.

[0068] For example, a fluctuation is generated upstream inside the inclined tube and is transmitted downstream as the flow propagates. It can be seen from the time-domain signals of the pressure pulsations of the fluid at the upper, middle and lower parts of the inclined tube that the curves of the pressure pulsations upstream and downstream inside the inclined tube have a very high degree of similarity, and the occurrence time of the pressure pulsation in the upstream of the inclined tube is earlier than the occurrence time of the pressure pulsation in the downstream of the inclined tube.

[0069] If the flow direction of the fluctuations inside the inclined tube occurs upstream first, it indicates the presence of inlet bubbles at the tube's outlet; if the flow direction of the fluctuations occurs downstream first, it indicates the presence of upward-rushing bubbles at the tube's outlet. Taking a petrochemical catalytic cracking unit as an example, upward-rushing oil and gas can lead to serious accidents. Therefore, based on the determined flow direction of the fluctuations inside the inclined tube and the process conditions, the gas-solid flow behavior within the inclined tube can be controlled in a timely manner, thereby preventing potential safety hazards.

[0070] Example 2

[0071] This embodiment provides a method for diagnosing abnormal gas-solid flow in an inclined tube, such as... Figure 2 As shown, it includes:

[0072] Step S100: Real-time acquisition of pressure pulsation of fluid at the upper, middle and lower reaches inside the inclined tube and vibration displacement of the inclined tube wall, and data retrieval.

[0073] In some embodiments, the data retrieval employs stream computing. Stream computing is well-suited for real-time analysis of large-scale flowing data in constantly changing motion, capturing potentially useful information and sending it to the next computing node. Specifically, in this embodiment, using stream computing for data retrieval enables the rapid and continuous transmission of the pressure pulsations of the fluid at the upstream, midstream, and downstream points inside the inclined tube to the next processing node in real time.

[0074] Step S200: Determine the frequency domain signal of the pressure pulsation and the frequency domain signal of the vibration displacement based on the time domain signal of the pressure pulsation and the time domain signal of the vibration displacement obtained from the data retrieval.

[0075] Specifically, the time-domain signal of the pressure pulsation and the time-domain signal of the vibration displacement are converted into frequency-domain signals of the pressure pulsation and the vibration displacement, respectively, through time-frequency conversion. The time-frequency conversion method can employ real-time Fourier transform, wavelet transform, etc. This embodiment uses real-time Fourier transform to convert the time-domain signal of the pressure pulsation retrieved from the data into the corresponding frequency-domain signal.

[0076] Step S300: Based on the frequency domain signal of the pressure pulsation, perform coherence analysis on the pressure pulsation of the fluid in the upstream and midstream and midstream and downstream of the inclined tube, and obtain the first coherence coefficient and the second coherence coefficient respectively.

[0077] In some embodiments, step S300, "based on the frequency domain signal of pressure pulsation, performing coherence analysis on the pressure pulsation of the fluid in the upstream and midstream, and midstream and downstream sections of the inclined tube, to obtain the first coherence coefficient and the second coherence coefficient respectively," includes:

[0078] Step S310: Slice and extract features from the frequency domain signal of the pressure pulsation to obtain the spectral features of the pressure pulsation.

[0079] Step S320: Based on the spectral characteristics of the pressure pulsation, perform coherence analysis on the pressure pulsation of the fluid in the upstream and midstream and midstream and downstream of the inclined tube, and obtain the first coherence coefficient and the second coherence coefficient respectively.

[0080] In some embodiments, the LSTM (Long Short-Term Memory) algorithm is used to perform coherence analysis on the pressure pulsations of the fluid in the upstream and midstream, and midstream and downstream sections of the inclined tube.

[0081] Step S400: Determine whether fluctuation transmission occurs inside the inclined tube based on the relationship between the first coherence coefficient, the second coherence coefficient and the preset first fixed value.

[0082] In some embodiments, step S400 includes: comparing both the first coherence coefficient and the second coherence coefficient with the first fixed value; if either the first coherence coefficient or the second coherence coefficient is greater than the first fixed value, then the transmission of fluctuations within the inclined tube is determined. The first coherence coefficient represents the similarity between the frequency domain signals of pressure pulsations at the upstream and midstream locations within the inclined tube; the second coherence coefficient represents the similarity between the frequency domain signals of pressure pulsations at the midstream and downstream locations within the inclined tube. By comparing both the first and second coherence coefficients with the first fixed value, it can be determined whether there is high similarity between the frequency domain signals of pressure pulsations at the upstream, midstream, and downstream locations within the inclined tube. If so, the transmission of fluctuations within the inclined tube can be determined.

[0083] Step S500: If the transmission of fluctuations occurs inside the inclined tube, a causal judgment is made based on the time-domain signals of the pressure pulsations of the fluid at the upper, middle and lower reaches of the inclined tube to determine the flow direction of the fluctuations inside the inclined tube.

[0084] In some embodiments, the causal determination is based on the transmissibility of time-domain signals, and the flow direction of the fluctuation inside the inclined tube is determined according to the order of occurrence of similar curve features in the time-domain signals of the pressure pulsations of the fluid at the upper, middle and lower parts inside the inclined tube.

[0085] For example, a fluctuation is generated upstream inside the inclined tube and is transmitted downstream as the flow propagates. It can be seen from the time-domain signals of the pressure pulsations of the fluid at the upper, middle and lower parts of the inclined tube that the curve features of the changes in the time-domain signals of the pressure pulsations upstream and downstream inside the inclined tube are highly similar, and the occurrence time of the change features of the pressure pulsations upstream inside the inclined tube is earlier than the occurrence time of the change features of the pressure pulsations downstream inside the inclined tube.

[0086] If the flow direction of the fluctuations inside the inclined tube occurs upstream first, it indicates the presence of inlet bubbles at the tube's outlet; if the flow direction of the fluctuations occurs downstream first, it indicates the presence of upward-rushing bubbles at the tube's outlet. Taking a petrochemical catalytic cracking unit as an example, upward-rushing oil and gas can lead to serious accidents. Therefore, based on the determined flow direction of the fluctuations inside the inclined tube and the process conditions, the gas-solid flow behavior within the inclined tube can be controlled in a timely manner, thereby preventing potential safety hazards.

[0087] S600, compare and analyze the vibration displacement with the historical vibration displacement range of the inclined tube to determine whether the vibration displacement deviates from the numerical range.

[0088] S700, if the vibration displacement deviates from the numerical range, it is determined whether the inclined tube has experienced severe vibration based on whether a strong energy value exists in the frequency domain signal of the vibration displacement. The strong energy value refers to the average of the energy values ​​of more than three times the historical vibration displacement values.

[0089] S800, if it is determined that the inclined tube has experienced severe vibration, then the time-domain signal of the pressure pulsation at the upstream end of the inclined tube is correlated with the time-domain signal of the vibration displacement to obtain the correlation coefficient.

[0090] S900, the cause of the vibration of the inclined tube is determined based on the relationship between the correlation coefficient and the preset second fixed value. The second fixed value is a criterion obtained through experiments and can be 0.8.

[0091] If the correlation coefficient exceeds the second fixed value, the vibration of the inclined tube is determined to be caused by the internal flow of the inclined tube, and the fluid state needs to be adjusted; if the correlation coefficient does not exceed the fixed value, the vibration is caused by other reasons, and an investigation should be conducted in conjunction with the site conditions.

[0092] In summary, this embodiment can simply and effectively determine whether the gas-solid flow in the inclined tube has generated an abnormal flow state and whether it has caused mechanical resonance in the pipeline, so as to reduce the equipment safety hazards caused by the unstable gas-solid flow in the inclined tube and ensure the normal service life of the equipment.

[0093] Example 3

[0094] This embodiment provides a diagnostic device 400 for abnormal gas-solid flow in an inclined tube, such as... Figure 3 and Figure 4 As shown, the device includes pressure sensors deployed at the upstream, midstream, and downstream ends of an inclined tube 470. The pressure sensors include a first pressure sensor 410 for measuring pressure pulsations upstream of the inclined tube 470, a second pressure sensor 420 for measuring pressure pulsations midstream of the inclined tube 470, and a third pressure sensor 430 for measuring pressure pulsations downstream of the inclined tube 470. The device also includes a displacement sensor 440 deployed on the inclined tube 470, which measures the vibration displacement of the tube wall. Furthermore, the device includes a data acquisition device 460 and a signal processing unit 450. The data acquisition device 460 acquires the signals measured by the first pressure sensor 410, the second pressure sensor 420, the third pressure sensor 430, and the displacement sensor 440, and sends the acquired signals to the signal processing unit 450. The signal processing unit 450 can be a computer, etc. Figure 5 As shown, the signal processing processor 450 includes:

[0095] The signal receiving module 451 is used to receive the pressure pulsation of the fluid at the upper, middle and lower reaches inside the inclined tube 470 and the vibration displacement of the tube wall in real time, and to retrieve the data.

[0096] In some embodiments, the data retrieval employs stream computing. Stream computing is well-suited for real-time analysis of large-scale flowing data in constantly changing motion, capturing potentially useful information and sending it to the next computing node. Specifically, in this embodiment, using stream computing for data retrieval enables the rapid and continuous transmission of the pressure pulsations of the fluid at the upstream, midstream, and downstream points inside the inclined tube 470 to the next processing node in real time and continuously.

[0097] The first calculation module 452 is used to determine the frequency domain signal of the pressure pulsation and the frequency domain signal of the vibration displacement based on the time domain signal of the pressure pulsation and the time domain signal of the vibration displacement retrieved from the data.

[0098] Specifically, the time-domain signal of the pressure pulsation and the time-domain signal of the vibration displacement are converted into frequency-domain signals of the pressure pulsation and the vibration displacement, respectively, through time-frequency conversion. The time-frequency conversion method can employ real-time Fourier transform, wavelet transform, etc. This embodiment uses real-time Fourier transform to convert the time-domain signal of the pressure pulsation retrieved from the data into the corresponding frequency-domain signal.

[0099] The second calculation module 453 is used to perform coherence analysis on the pressure pulsation of the fluid in the upstream and midstream and midstream and downstream of the inclined tube 470 based on the frequency domain signal of the pressure pulsation, and obtain the first coherence coefficient and the second coherence coefficient respectively.

[0100] In some embodiments, the second calculation module 453 is specifically used to slice and extract features from the frequency domain signal of the pressure pulsation to obtain the spectral features of the pressure pulsation; and based on the spectral features of the pressure pulsation, to perform coherence analysis on the pressure pulsation of the fluid in the upstream and midstream and midstream and downstream of the inclined tube 470 to obtain the first coherence coefficient and the second coherence coefficient, respectively.

[0101] In some embodiments, the LSTM (Long Short-Term Memory) algorithm is used to perform coherence analysis on the pressure pulsations of the fluid in the upstream and midstream, and midstream and downstream sections inside the inclined tube 470.

[0102] The first judgment module 454 is used to determine whether the transmission of fluctuations occurs inside the inclined tube 470 based on the relationship between the first coherence coefficient, the second coherence coefficient and the preset first fixed value.

[0103] In some embodiments, the first determining module 454 is specifically used to compare both the first coherence coefficient and the second coherence coefficient with the first fixed value. If either the first coherence coefficient or the second coherence coefficient is greater than the first fixed value, then the transmission of fluctuations inside the inclined tube 470 is determined. The first coherence coefficient represents the similarity between the frequency domain signals of pressure pulsations at the upstream and midstream locations inside the inclined tube 470; the second coherence coefficient represents the similarity between the frequency domain signals of pressure pulsations at the midstream and downstream locations inside the inclined tube 470. By comparing both the first and second coherence coefficients with the first fixed value, it can be determined whether there is high similarity between the frequency domain signals of pressure pulsations at the upstream, midstream, and downstream locations inside the inclined tube. If so, the transmission of fluctuations inside the inclined tube 470 can be determined.

[0104] The second judgment module 455 is used to determine the flow direction of the internal fluctuation of the inclined tube 470 by performing a causal judgment based on the time-domain signals of the pressure pulsation of the fluid at the upper, middle and lower reaches of the inclined tube 470 if the transmission of fluctuation occurs inside the inclined tube 470.

[0105] In some embodiments, the causal determination is based on the transmissibility of time-domain signals, and the flow direction of the fluctuation inside the inclined tube 470 is determined according to the order of occurrence of similar curve features in the time-domain signals of the pressure pulsations of the fluid at the upper, middle and lower parts inside the inclined tube 470.

[0106] For example, a fluctuation is generated upstream inside the inclined tube 470, which is transmitted downstream as the flow propagates. It can be seen from the time-domain signals of the pressure pulsations of the fluid at the upper, middle and lower parts inside the inclined tube 470 that the curve features of the changes in the time-domain signals of the pressure pulsations upstream and downstream inside the inclined tube 470 are highly similar, and the occurrence time of the change features of the pressure pulsations upstream inside the inclined tube 470 is earlier than the occurrence time of the change features of the pressure pulsations downstream inside the inclined tube 470.

[0107] If the flow direction of the fluctuations inside the inclined tube 470 occurs upstream first, it indicates the presence of inlet bubbles at the outlet of the inclined tube 470; if the flow direction of the fluctuations inside the inclined tube 470 occurs downstream first, it indicates the presence of upward-rushing bubbles at the outlet of the inclined tube 470. Taking a catalytic cracking unit in petrochemicals as an example, if oil and gas rise upwards, it can cause a serious accident. Therefore, based on the determined flow direction of the fluctuations inside the inclined tube 470 and the process conditions, the gas-solid flow behavior inside the inclined tube 470 can be controlled in a timely manner, thereby avoiding potential safety hazards.

[0108] The third judgment module 456 is used to compare and analyze the vibration displacement with the historical vibration displacement range of the inclined tube 470 to determine whether the vibration displacement deviates from the numerical range.

[0109] The fourth judgment module 457 is used to determine whether the inclined tube 470 has experienced severe vibration if the vibration displacement deviates from the numerical range, based on whether there is a strong energy value in the frequency domain signal of the vibration displacement. The strong energy value refers to the average of the energy values ​​of more than three times the historical vibration displacement.

[0110] The third calculation module 458 is used to perform correlation analysis between the time-domain signal of the pressure pulsation at the upstream end of the inclined tube 470 and the time-domain signal of the vibration displacement if it is determined that the inclined tube 470 has experienced severe vibration, and to obtain the correlation coefficient.

[0111] The fifth judgment module 459 is used to determine the cause of vibration of the inclined tube 470 based on the relationship between the correlation coefficient and the preset second fixed value. The second fixed value is a discrimination standard obtained through experiments, and can be 0.8.

[0112] If the correlation coefficient exceeds the second fixed value, the vibration of the inclined tube 470 is determined to be caused by the internal flow of the inclined tube 470, and the fluid state needs to be adjusted; if the correlation coefficient does not exceed the fixed value, the vibration is caused by other reasons, and an investigation should be conducted in conjunction with the site conditions.

[0113] In summary, this embodiment can simply and effectively determine whether the gas-solid flow inside the inclined tube 470 has generated an abnormal flow state and whether it has caused mechanical resonance in the pipeline, so as to reduce the equipment safety hazards caused by the unstable gas-solid flow inside the inclined tube 470 and ensure the normal service life of the equipment.

[0114] Example 4

[0115] The third aspect provides an electronic device 500, such as Figure 6 As shown, the electronic device 500 can be a computer, tablet computer, etc., and includes a storage device 501, a processor 502, at least one communication bus 503, and an input / output (I / O) interface 503. The storage device 501 stores a computer program, which, when executed by the processor 502, implements the gas-solid abnormal flow diagnosis method in the inclined tube as described in Embodiment 1. It is understood that the electronic device 500 may also include multimedia components and communication components.

[0116] The processor 502 is used to execute all or part of the steps in the gas-solid abnormal flow diagnosis method in the inclined tube as described in Embodiment 1. The memory is used to store various types of data, which may include, for example, instructions for any application or method in the electronic device 500, as well as application-related data.

[0117] The processor 502 may be implemented as an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field-programmable gate array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is used to execute the gas-solid abnormal flow diagnosis method in the inclined tube in Embodiment 1 above.

[0118] The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0119] Example 5

[0120] The fourth aspect provides a storage medium, such as flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. A computer program stored on the storage medium can be executed by one or more processors, and the computer program can be used to implement the steps of any of the gas-solid abnormal flow diagnosis methods in the inclined tube in Embodiment 1.

[0121] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0122] It should be understood that the phrase "one embodiment" or "an embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of this application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. It should be understood that in the various embodiments of this application, the sequence numbers of the above-described processes do not imply a sequential order of execution; the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application. The sequence numbers of the above-described embodiments are merely descriptive and do not represent the superiority or inferiority of the embodiments.

[0123] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0124] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0125] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0126] In addition, each functional unit in the various embodiments of this application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0127] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media that can store program code, such as mobile storage devices, read-only memory (ROM), magnetic disks, or optical disks.

[0128] Alternatively, if the integrated units described above are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a controller to execute all or part of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROMs, magnetic disks, or optical disks.

[0129] The above description is merely an embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method of diagnosing abnormal gas-solid flow in an inclined pipe, characterized by, The method comprises the following steps: Real-time acquisition of pressure pulsation of fluid at three positions of upper, middle and lower upstream of the inclined pipe, and data acquisition; Determination of frequency domain signal of the pressure pulsation according to the time domain signal of the pressure pulsation acquired by data acquisition; Coherence analysis of pressure pulsation of fluid at the upper and middle upstream and the middle and lower upstream of the inclined pipe based on the frequency domain signal of the pressure pulsation, to obtain first and second coherence coefficients respectively; Determination of whether the transmission of fluctuation occurs in the inclined pipe according to the size relationship between the first and second coherence coefficients and a preset first fixed value; If the transmission of fluctuation occurs in the inclined pipe, then the flow direction of the fluctuation in the inclined pipe is determined based on the time domain signal of the pressure pulsation of fluid at the three positions of upper, middle and lower upstream of the inclined pipe.

2. The method of claim 1, wherein, The method further comprises the following steps: Real-time acquisition of vibration displacement of the inclined pipe wall, and data acquisition; Determination of frequency domain signal of the vibration displacement according to the time domain signal of the vibration displacement acquired by data acquisition; Comparison and analysis of the vibration displacement with the numerical range of the historical vibration displacement of the inclined pipe to determine whether the vibration displacement deviates from the numerical range; If the vibration displacement deviates from the numerical range, then it is determined whether the inclined pipe has a serious vibration according to whether there is a strong energy value in the frequency domain signal of the vibration displacement; If it is determined that the inclined pipe has a serious vibration, then correlation analysis is performed on the time domain signal of the pressure pulsation at the upper upstream of the inclined pipe and the time domain signal of the vibration displacement to obtain a correlation coefficient; Determination of the vibration cause of the inclined pipe according to the size relationship between the correlation coefficient and a preset second fixed value.

3. The method of claim 1, wherein, The coherence analysis of the pressure pulsation of fluid at the upper and middle upstream and the middle and lower upstream of the inclined pipe based on the frequency domain signal of the pressure pulsation to obtain first and second coherence coefficients comprises the following steps: Slicing and feature extraction are performed on the frequency domain signal of the pressure pulsation to obtain the spectral features of the pressure pulsation; The coherence analysis of the pressure pulsation of fluid at the upper and middle upstream and the middle and lower upstream of the inclined pipe is performed based on the spectral features of the pressure pulsation to obtain first and second coherence coefficients respectively.

4. The method of claim 1, wherein, The determination of whether the transmission of fluctuation occurs in the inclined pipe according to the size relationship between the first and second coherence coefficients and a preset first fixed value comprises the following steps: the first and second coherence coefficients are compared with the first fixed value respectively, and if the first or second coherence coefficient is greater than the first fixed value, it is determined that the transmission of fluctuation occurs in the inclined pipe.

5. The method of claim 1, wherein, The causal judgment is based on the transmission of time domain signal, and the flow direction of the fluctuation in the inclined pipe is determined according to the order of occurrence of similar curve features in the time domain signal of the pressure pulsation of fluid at the three positions of upper, middle and lower upstream of the inclined pipe.

6. The method of claim 1, wherein, The data acquisition is stream computing.

7. An inclined pipe gas-solid abnormal flow diagnosis device, comprising a signal operation processor, the signal operation processor comprising: The signal receiving module is configured to receive pressure pulsations of fluid at three positions of an upper stream, a middle stream and a lower stream inside the inclined pipe in real time and perform data retrieval; The first operation module is configured to determine a frequency domain signal of the pressure pulsation according to a time domain signal of the pressure pulsation retrieved by the data retrieval; The second operation module is configured to perform coherence analysis on the pressure pulsations of fluid at the upper stream and the middle stream and at the middle stream and the lower stream inside the inclined pipe based on the frequency domain signal of the pressure pulsation, and obtain a first coherence coefficient and a second coherence coefficient, respectively; The first judgment module is configured to determine whether the transmission of fluctuation is generated inside the inclined pipe according to a size relationship among the first coherence coefficient, the second coherence coefficient and a preset first fixed value; The second judgment module is configured to perform causality judgment based on the time domain signals of the pressure pulsations of fluid at the three positions of the upper stream, the middle stream and the lower stream inside the inclined pipe if the transmission of fluctuation is generated inside the inclined pipe, and determine a flow direction of the fluctuation inside the inclined pipe.

8. The apparatus of claim 7, wherein, The signal receiving module is further configured to receive vibration displacement of a pipe wall of the inclined pipe in real time and perform data retrieval; The first operation module is further configured to determine a frequency domain signal of the vibration displacement according to a time domain signal of the vibration displacement retrieved by the data retrieval; The signal operation processor further includes: The third judgment module is configured to compare and analyze the vibration displacement with a numerical range of historical vibration displacement of the inclined pipe, and determine whether the vibration displacement deviates from the numerical range; The fourth judgment module is configured to determine whether the inclined pipe is subjected to severe vibration according to whether a strong energy value exists in the frequency domain signal of the vibration displacement if the vibration displacement deviates from the numerical range; The third operation module is configured to perform correlation analysis on the time domain signal of the pressure pulsation at the upper stream inside the inclined pipe and the time domain signal of the vibration displacement if it is determined that the inclined pipe is subjected to severe vibration, and obtain a correlation coefficient; The fifth judgment module is configured to determine a vibration cause of the inclined pipe according to a size relationship among the correlation coefficient and a preset second fixed value.

9. An electronic device, comprising: The memory and the processor are included, and the memory has a computer program stored thereon, which is executed by the processor to perform the inclined pipe gas-solid abnormal flow diagnosis method in any one of claims 1 to 6.

10. A storage medium, characterized by The computer program stored on the storage medium can be executed by one or more processors, and the computer program can be used to implement the inclined pipe gas-solid abnormal flow diagnosis method in any one of claims 1 to 6.

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