RTO switching valve leakage fault intelligent monitoring system and technology

Abstract

The invention relates to the technical field of RTO switching valves, in particular to an RTO switching valve leakage fault intelligent monitoring system and process, and the system comprises the first aspect that the RTO switching valve leakage fault intelligent monitoring system comprises a monitoring layer, an analysis layer and a diagnosis layer; the operation state parameters of the switching valve are monitored in real time through the monitoring layer, data cleaning is synchronously executed on the monitored operation state parameters of the switching valve, and the operation state parameters are stored after data cleaning is completed. And based on parameter analysis, distributed analysis of leakage risks of the switching valve is carried out, further comprehensive analysis is carried out, and leakage fault judgment logic is set, so that leakage fault judgment of the switching valve is realized, and long-term stable operation of the switching valve is effectively guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of RTO switching valves, and in particular to an intelligent monitoring system and process for leakage failure of an RTO switching valve. Background Art

[0002] The RTO switching valve is a key component in the RTO system. It is mainly used to control the switching of airflow between different heat storage beds and treatment channels. Through precise, fast and stable switching actions, it ensures that the exhaust gas can enter the corresponding area for treatment and heat exchange at the right time, ensuring the efficient and stable operation of the RTO system and achieving the purpose of exhaust gas purification.

[0003] The invention patent with application number 202010717087.X discloses a method for monitoring leakage of a carbon canister cleaning solenoid valve, which is characterized by comprising the following steps: Step 1, after the engine is successfully started, the EVAP system closes the cleaning solenoid valve and ventilation valve of the evaporation system to put the evaporation system in a closed state; Step 2, at the set desorption flow integral value Δ INT , monitor the evaporation system

[0004] The vacuum degree change value is converted into the vacuum degree change curve of the actual vehicle; Step 3, the EVAP system compares the vacuum degree change curve of the actual vehicle with the calibrated vacuum degree change curve to obtain the equivalent leakage aperture of the cleaning solenoid valve; Step 4, the EVAP system detects whether the equivalent leakage aperture is greater than the set value; Step 5, if the equivalent leakage aperture is greater than the set value, the 0BD system determines that there is a leakage in the cleaning solenoid valve, and prompts the cleaning solenoid valve to be repaired; the acquisition of the calibrated vacuum degree change curve specifically includes the following steps: controlling the engine The engine is operated under the same purge solenoid valve duty cycle and different intake manifold vacuums, and a flow meter is connected to obtain the desorption flow rate at each intake manifold vacuum with a calibration step, and the desorption flow rate is normalized to obtain the desorption flow coefficient at different intake manifold vacuums; the engine is controlled to operate under the same intake manifold pressure and different purge solenoid valve duty cycles, and a flow meter is connected to obtain the desorption flow rate at each purge solenoid valve duty cycle with a calibration step, and the desorption flow rate is normalized to obtain the desorption flow coefficient at different purge solenoid valve duty cycles.

[0005] The application aims to solve the problem of "inaccurate determination of leakage aperture of evaporation system and high detection cost".

[0006] For the switching valve in the RTO system, leakage fault monitoring during its operation is particularly important due to its harsh operating conditions. Most of the current monitoring systems are not predictive or have poor predictive accuracy.

[0007] Therefore, we proposed an intelligent monitoring system and process for RTO switching valve leakage failure. Summary of the invention

[0008] In view of the above-mentioned shortcomings of the prior art, the present invention provides an intelligent monitoring system and process for leakage faults of an RTO switching valve, which solves the technical problems raised in the above-mentioned background technology.

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0010] In a first aspect, an intelligent monitoring system for leakage faults of RTO switching valves includes: a monitoring layer, an analysis layer, and a diagnosis layer;

[0011] The operating status parameters of the switching valve are monitored in real time through the monitoring layer. The monitored operating status parameters of the switching valve are simultaneously cleaned and stored after data cleaning. The analysis layer runs in the monitoring layer to retrieve the stored operating status parameters of the switching valve, and uses the operating status parameters of the switching valve to analyze the leakage risk of the switching valve. The diagnosis layer further receives the switching valve leakage risk analysis results from the analysis layer, and predicts whether the switching valve currently has a leakage fault based on the switching valve leakage risk analysis results.

[0012] The monitoring layer includes a collection module, a cleaning module, and a storage module. The collection module is used to collect the switching valve operation status parameters. The cleaning module is used to receive the switching valve operation status parameters collected by the collection module and clean the switching valve operation status parameters. The storage module is used to obtain the switching valve operation status parameters that have been cleaned in the cleaning module and store the switching valve operation status parameters.

[0013] The analysis layer includes a retrieval module, an analysis module and a correction module. The retrieval module is used to retrieve the switching valve operation status parameters stored in the monitoring layer. The analysis module is used to receive the switching valve operation status parameters retrieved by the retrieval module and analyze the switching valve leakage risk based on the switching valve operation status parameters. The correction module is used to obtain the switching valve leakage risk analysis result in the analysis module and correct the switching valve leakage risk analysis result.

[0014] The switching valve operation state parameter retrieved by the retrieval module is: the switching valve operation state parameter corresponding to the time threshold from the last start to the end of the switching valve operation. The analysis logic for the switching valve leakage risk in the analysis module is expressed as:

[0015]

[0016] Where: k1, k2 are the leakage risks of the switching valve; H safe , H unsafe is the type of non-abnormal parameter and the type of abnormal parameter; u safe 、u unsafe is the total amount of u-type abnormal parameters in non-abnormal parameters and the total amount of u-type abnormal parameters in abnormal parameters; Av , A l is the value of the vth non-abnormal parameter in the uth non-abnormal parameter and the value of the lth abnormal parameter in the uth abnormal parameter; A max , A min is the maximum and minimum value of the parameter safety range; ω v ,ω l is the weight;

[0017] in, The smaller the switching valve leakage risk k1 and k2 are, the lower the switching valve leakage risk is. Conversely, the higher the switching valve leakage risk is, the higher the type of non-abnormal parameter H is. safe Type H with abnormal parameters unsafe The parameters of the valve core operation vibration spectrum are not included;

[0018] The diagnosis layer includes a receiving module, a determination module and an evaluation module. The receiving module is used to receive the final analysis switching valve leakage risk K analyzed in the analysis layer. The determination module is used to set a switching valve leakage fault determination threshold, compare the switching valve leakage fault determination threshold with the final analysis switching valve leakage risk K, and determine whether the switching valve has a leakage fault problem based on the comparison result. The evaluation module is used to record the final analysis switching valve leakage risk K and the determination result of the determination module received by the receiving module in the diagnosis layer under the continuous operation state of the system, and evaluate the reliability of the switching valve in combination with the final analysis switching valve leakage risk K and the determination result of the determination module.

[0019] Furthermore, the switching valve operating status parameters collected by the acquisition module include: valve stroke, sealing surface pressure, gas flow rate, gas pressure loss when gas passes through, driving voltage, current and valve core operation vibration spectrum. The cleaning module is provided with parameter cleaning logic. The cleaning module cleans the switching valve operating status parameters collected by the acquisition module based on the parameter cleaning logic. The switching valve operating status parameters are all marked with an acquisition timestamp. The storage module distinguishes and stores the switching valve operating status parameters based on the acquisition timestamp of the switching valve operating status parameters.

[0020] Furthermore, the acquisition module is provided with a switching valve operation status parameter acquisition cycle, and the acquisition module collects the switching valve operation status parameters in real time based on the switching valve operation status parameter acquisition cycle;

[0021] The logic for setting the switching valve operation status parameter acquisition cycle is:

[0022]

[0023] Where: T is the acquisition period of the switching valve operating status parameters; T0 is the acquisition period base; T now is the current time; T faultT is the time when the switching valve last failed; fault ' is compared with T fault The time when the switching valve last failed; n is the total amount of the switching valve operating status parameters; |p now -p′| i is the absolute value of the difference between the current value of the i-th switching valve operating status parameter and the last collected value;

[0024] Among them, max(p now ,p′) i It means taking the maximum value in the brackets. The collection cycle base T0 is customized by the system user. The switching valve operation status parameter collection cycle T is applied to the next operation of the switching valve. After the next operation of the switching valve is completed, the latest operation status parameters of the switching valve are applied to obtain a new switching valve operation status parameter collection cycle. When the switching valve runs again, the newly obtained switching valve operation status parameter collection cycle is applied. The switching valve operation status parameters are collected in real time during the operation of the switching valve, and so on.

[0025] Furthermore, the cleaning logic for the switching valve operating state parameters in the cleaning module is expressed as:

[0026] Generate a sequence of each switching valve operating state parameter based on the acquisition time sequence of each switching valve operating state parameter, and calculate the mean and standard deviation of the parameter sequence;

[0027]

[0028] Setting abnormal parameter determination logic to determine each switching valve operation state parameter in the switching valve operation state parameter sequence;

[0029]

[0030] Parameters that meet one of the above conditions are judged as abnormal parameters, otherwise, they are non-abnormal parameters;

[0031] Where: is the mean value; m is the total number of parameters in the switching valve operation state parameter sequence; x j is the j-th switching valve operating state parameter value; σ is the standard deviation; k is a constant;

[0032] Among them, the constant k is a positive integer, which is customized by the system end user. Based on the above formula, the abnormal parameters and non-abnormal parameters of various types of switching valve operating status parameters are determined. The abnormal parameters in each type of switching valve operating status parameters are retained. When there is only one set of non-abnormal parameters between two adjacent groups of abnormal parameters, the non-abnormal parameters are retained. When there is not less than one set of non-abnormal parameters between two adjacent groups of abnormal parameters, the non-abnormal parameters in the middle position are selected to be retained, and the remaining non-abnormal parameters are discarded.

[0033] Furthermore, after receiving the switching valve operation status parameters retrieved by the retrieval module, the analysis module simultaneously classifies the abnormal parameters and the non-abnormal parameters in the switching valve operation status parameters, and analyzes the switching valve operation leakage risk based on the abnormal parameters and the non-abnormal parameters respectively;

[0034] After the switching valve leakage risks k1 and k2 are obtained, the leakage risk represented by the valve core operation vibration spectrum is further added to the switching valve leakage risks k1 and k2:

[0035]

[0036] Where: k1′, k2′ are the switching valve leakage risks with the leakage risk represented by the valve core running vibration spectrum added; (f low , f high ) is the main frequency band range of the valve core operation vibration spectrum; X(f) is the frequency spectrum obtained by fast Fourier transform of the valve core operation vibration spectrum.

[0037] Furthermore, the correction logic of the switching valve leakage risk analysis result in the correction module is expressed as:

[0038] K=k1′×(1-λ)+k2′×λ;

[0039] Where: K is the final analysis switching valve leakage risk; λ is the risk reference proportional factor;

[0040] Among them, the risk reference ratio factor q is the type of switching valve operating state parameter; (t first-last ) r is the collection time interval between the earliest group of abnormal parameters and the latest group of abnormal parameters in the operating status parameters of the rth type switching valve; t all is the total operation time of the switching valve. Express Seeking average.

[0041] Furthermore, the switching valve leakage fault judgment threshold set in the judgment module is customized by the system end user, and the system end user reads the latest recorded final analysis switching valve leakage risk K and judgment result in real time in the evaluation module.

[0042] Furthermore, the evaluation module is applied to record the final analysis switching valve leakage risk K, and based on the time series, generates a final switching valve leakage risk K change trend graph, the trend graph is expressed as a line graph, the horizontal axis of the trend graph represents time, and the vertical axis represents the final analysis switching valve leakage risk K. When the continuous final analysis switching valve leakage risk K represented in the trend graph rises continuously for no less than three groups, the switching valve corresponding to the trend graph is judged as a switching valve to be replaced, and the switching valve is manually replaced by the system end user. After the system end user replaces the switching valve to be replaced, the system resets and runs synchronously.

[0043] Furthermore, the retrieval module is interactively connected to the storage module via a wireless network, the storage module is interactively connected to the cleaning module and the acquisition module via a wireless network, the retrieval module is interactively connected to the analysis module and the correction module via a wireless network, the correction module is interactively connected to the receiving module via a wireless network, and the receiving module is interactively connected to the determination module and the evaluation module via a wireless network.

[0044] In a second aspect, an intelligent monitoring process for leakage failure of an RTO switching valve includes:

[0045] Collecting the switching valve operation status parameters, setting the switching valve operation status parameter cleaning logic, and cleaning the switching valve operation status parameters based on the cleaning logic;

[0046] Setting abnormal parameter analysis logic, analyzing whether the parameters in the operating state parameters of the switching valve that has been cleaned are abnormal based on the analysis logic, and classifying the operating state parameters of the switching valve according to the analysis result of whether the operating state parameters of the switching valve are abnormal;

[0047] Analyze the switching valve leakage risk based on abnormal switching valve operation status parameters and normal switching valve operation status parameters respectively;

[0048] Comprehensively analyze the switching valve leakage risk based on the two groups of switching valve leakage risk analysis results, and record the switching valve leakage risk analysis results;

[0049] A decision is made whether to replace the switching valve based on the recorded switching valve leakage risk analysis results. After the switching valve is replaced, the system operation is reset synchronously.

[0050] Compared with the known public technology, the technical solution provided by the present invention has the following advantages:

[0051] Beneficial effects:

[0052] The present invention provides an intelligent monitoring system and process for leakage faults of RTO switching valves. During operation, the system comprehensively collects operating status parameters of the switching valves, and after the collection, further retains high-value reference parameters based on data cleaning, and then based on parameter analysis, performs distributed analysis of leakage risks of the switching valves, further comprehensively analyzes and sets leakage fault judgment logic, realizes leakage fault judgment of the switching valves, and effectively ensures the long-term stable operation of the switching valves. At the same time, based on the record of the switching valve leakage fault judgment result, it can further generate a recommendation for the replacement period of the switching valves, thereby serving the RTO system where the switching valves are located and completing safe and stable gas processing.

[0053] At the same time, based on the limitations of the above-mentioned process methods, the stability of the system operation is further maintained, making the system more logical and continuous, bringing maintenance effects to the RTO system. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0055] Figure 1 It is a structural schematic diagram of an intelligent monitoring system for leakage failure of an RTO switching valve;

[0056] Figure 2 It is a schematic diagram of a process flow of an intelligent monitoring process for leakage failure of an RTO switching valve;

[0057] Figure 3 A schematic diagram of the application logic of the switching valve operation status parameter collection cycle in the present invention;

[0058] Figure 4 This is a changing trend diagram of the switching valve leakage risk K that is finally analyzed in the present invention. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] The present invention will be further described below in conjunction with the embodiments.

[0061] Embodiment 1:

[0062] An intelligent monitoring system for leakage failure of an RTO switching valve according to this embodiment is as follows: Figure 1 As shown, it includes: monitoring layer, analysis layer and diagnosis layer;

[0063] The operating status parameters of the switching valve are monitored in real time through the monitoring layer. The monitored operating status parameters of the switching valve are simultaneously cleaned and stored after data cleaning. The analysis layer runs in the monitoring layer to retrieve the stored operating status parameters of the switching valve, and uses the operating status parameters of the switching valve to analyze the leakage risk of the switching valve. The diagnosis layer further receives the switching valve leakage risk analysis results from the analysis layer, and predicts whether the switching valve currently has a leakage fault based on the switching valve leakage risk analysis results.

[0064] The monitoring layer includes a collection module, a cleaning module, and a storage module. The collection module is used to collect the switching valve operation status parameters. The cleaning module is used to receive the switching valve operation status parameters collected by the collection module and clean the switching valve operation status parameters. The storage module is used to obtain the switching valve operation status parameters that have been cleaned in the cleaning module and store the switching valve operation status parameters.

[0065] Among them, the switching valve operation status parameters collected by the acquisition module include: valve stroke, sealing surface pressure, gas flow rate, gas pressure loss when gas passes through, driving voltage, current and valve core operation vibration spectrum. The cleaning module is provided with parameter cleaning logic. The cleaning module cleans the switching valve operation status parameters collected by the acquisition module based on the parameter cleaning logic. The switching valve operation status parameters are all marked with a collection timestamp. The storage module distinguishes and stores the switching valve operation status parameters based on the collection timestamp of the switching valve operation status parameters.

[0066] The acquisition module is provided with a switching valve operation status parameter acquisition cycle, and the acquisition module collects the switching valve operation status parameters in real time based on the switching valve operation status parameter acquisition cycle;

[0067] The logic for setting the cycle of the switching valve operating status parameter collection is as follows:

[0068]

[0069] Where: T is the acquisition period of the switching valve operating status parameters; T0 is the acquisition period base; T now is the current time; T fault T is the time when the switching valve last failed; fault ' is compared with T fault The time when the switching valve last failed; n is the total amount of the switching valve operating status parameters; |p now -p′| iis the absolute value of the difference between the current value of the i-th switching valve operating status parameter and the last collected value;

[0070] Among them, max(p now ,p′) i Indicates taking the maximum value in the brackets. The collection cycle base T0 is customized by the system end user. The switching valve operation status parameter collection cycle T is applied to the next operation of the switching valve. After the next operation of the switching valve is completed, the latest operation status parameters of the switching valve are applied to obtain a new switching valve operation status parameter collection cycle. When the switching valve is operated again, the newly obtained switching valve operation status parameter collection cycle is applied. The switching valve operation status parameters are collected in real time during the operation of the switching valve, and so on.

[0071] The cleaning logic for the switching valve operating status parameters in the cleaning module is expressed as:

[0072] Generate a sequence of each switching valve operating state parameter based on the acquisition time sequence of each switching valve operating state parameter, and calculate the mean and standard deviation of the parameter sequence;

[0073]

[0074] Setting abnormal parameter determination logic to determine each switching valve operation state parameter in the switching valve operation state parameter sequence;

[0075]

[0076] Parameters that meet one of the above conditions are judged as abnormal parameters, otherwise, they are non-abnormal parameters;

[0077] Where: is the mean value; m is the total number of parameters in the switching valve operation state parameter sequence; x j is the j-th switching valve operating state parameter value; σ is the standard deviation; k is a constant;

[0078] Among them, the constant k is a positive integer, which is defined by the system end user. Based on the above formula, the abnormal parameters and non-abnormal parameters of various types of switching valve operating state parameters are determined. The abnormal parameters in each type of switching valve operating state parameters are retained. When there is only one set of non-abnormal parameters between two adjacent groups of abnormal parameters, the non-abnormal parameters are retained. When there is not less than one set of non-abnormal parameters between two adjacent groups of abnormal parameters, the non-abnormal parameters in the middle position are selected to be retained, and the remaining non-abnormal parameters are discarded.

[0079] The analysis layer includes a retrieval module, an analysis module and a correction module. The retrieval module is used to retrieve the switching valve operation status parameters stored in the monitoring layer. The analysis module is used to receive the switching valve operation status parameters retrieved by the retrieval module and analyze the switching valve leakage risk based on the switching valve operation status parameters. The correction module is used to obtain the switching valve leakage risk analysis results in the analysis module and correct the switching valve leakage risk analysis results.

[0080] The switching valve operation status parameters retrieved by the retrieval module are: the switching valve operation status parameters corresponding to the switching valve's most recent start-to-end operation time threshold. The analysis logic for the switching valve leakage risk in the analysis module is expressed as:

[0081]

[0082] Where: k1, k2 are the leakage risks of the switching valve; H safe , H unsafe is the type of non-abnormal parameter and the type of abnormal parameter; u safe 、u unsafe is the total amount of u-type abnormal parameters in non-abnormal parameters and the total amount of u-type abnormal parameters in abnormal parameters; A v , A l is the value of the vth non-abnormal parameter in the uth non-abnormal parameter and the value of the lth abnormal parameter in the uth abnormal parameter; A max , A min is the maximum and minimum value of the parameter safety range; ω v ,ω l is the weight;

[0083] in, The smaller the switching valve leakage risk k1 and k2 are, the lower the switching valve leakage risk is. Conversely, the higher the switching valve leakage risk is, the higher the type of non-abnormal parameter H is. sa f e Type H with abnormal parameters unsafe The parameters of the valve core operation vibration spectrum are not included;

[0084] The diagnosis layer includes a receiving module, a determination module and an evaluation module. The receiving module is used to receive the final analysis switching valve leakage risk K analyzed in the analysis layer. The determination module is used to set a switching valve leakage fault determination threshold, compare the switching valve leakage fault determination threshold with the final analysis switching valve leakage risk K, and determine whether the switching valve has a leakage fault problem based on the comparison result. The evaluation module is used to record the final analysis switching valve leakage risk K and the determination result of the determination module received by the receiving module in the diagnosis layer when the system is in continuous operation, and evaluate the reliability of the switching valve in combination with the final analysis switching valve leakage risk K and the determination result of the determination module.

[0085] The switching valve leakage fault judgment threshold set in the judgment module is customized by the system end user, and the system end user reads the latest recorded final analysis switching valve leakage risk K and judgment result in real time in the evaluation module;

[0086] The retrieval module is interactively connected to the storage module through a wireless network, the storage module is interactively connected to the cleaning module and the collection module through a wireless network, the retrieval module is interactively connected to the analysis module and the correction module through a wireless network, the correction module is interactively connected to the receiving module through a wireless network, and the receiving module is interactively connected to the determination module and the evaluation module through a wireless network.

[0087] In this embodiment, the acquisition module operates to collect the switching valve operation status parameters, the cleaning module is post-operated to receive the switching valve operation status parameters collected by the acquisition module, the switching valve operation status parameters are cleaned, and then the storage module obtains the switching valve operation status parameters that have been cleaned in the cleaning module, and stores the switching valve operation status parameters. The retrieval module further retrieves the switching valve operation status parameters stored in the monitoring layer, the analysis module receives the switching valve operation status parameters retrieved by the retrieval module, analyzes the switching valve leakage risk based on the switching valve operation status parameters, and then obtains the switching valve leakage risk analysis result in the analysis module through the correction module, and corrects the switching valve leakage risk analysis result. The receiving module receives the final analysis switching valve leakage risk K analyzed in the analysis layer, the judgment module synchronously sets the switching valve leakage fault judgment threshold, compares the switching valve leakage fault judgment threshold with the final analysis switching valve leakage risk K, and judges whether the switching valve has a leakage fault problem based on the comparison result. Finally, the evaluation module is used to record the final analysis switching valve leakage risk K and the judgment result of the judgment module received by the receiving module in the diagnosis layer under the continuous operation state of the system, and the reliability of the switching valve is evaluated in combination with the final analysis switching valve leakage risk K and the judgment result of the judgment module.

[0088] Through the operation of the above system, a relatively comprehensive and highly accurate leakage fault monitoring service is provided for the switching valve, ensuring the long-term and stable operation of the RTO system where the switching valve is located;

[0089] At the same time, during the operation of the above system, the collection period of the operating status parameters of the switching valve is logically limited, and the leakage risk of the switching valve is distributedly analyzed, which effectively ensures the reliability of the final output result of the system;

[0090] See also Figure 3 As shown, in this figure, the start and stop of the operating task of the switching valve is represented based on the separation on the line axis, and based on the marking, the application and generation of the acquisition cycle of the operating status parameters of each switching valve are output.

[0091] See also Figure 4As shown, the figure further illustrates an example of the final analysis of the switching valve leakage risk K change trend diagram. By observing the figure, it is possible to determine whether the switching valve needs to be replaced.

[0092] Embodiment 2:

[0093] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The intelligent monitoring system for leakage failure of an RTO switching valve in Example 1 is further described in detail:

[0094] After receiving the switching valve operation status parameters retrieved by the retrieval module, the analysis module simultaneously classifies the abnormal parameters and the non-abnormal parameters in the switching valve operation status parameters, and analyzes the switching valve operation leakage risk based on the abnormal parameters and the non-abnormal parameters respectively;

[0095] After the switching valve leakage risks k1 and k2 are obtained, the leakage risk of the valve core operation vibration spectrum is further added to the switching valve leakage risks k1 and k2:

[0096]

[0097] Where: k1′, k2′ are the switching valve leakage risks with the leakage risk represented by the valve core running vibration spectrum added; (f low , f high ) is the main frequency band range of the valve core operation vibration spectrum; X(f) is the frequency spectrum obtained by fast Fourier transform of the valve core operation vibration spectrum;

[0098] The correction logic of the switching valve leakage risk analysis result in the correction module is expressed as:

[0099] K=k1′×(1-λ)+k2′×λ;

[0100] Where: K is the final analysis switching valve leakage risk; λ is the risk reference proportional factor;

[0101] Among them, the risk reference ratio factor q is the type of operating status parameter of the switching valve; (t first-last ) r is the collection time interval between the earliest group of abnormal parameters and the latest group of abnormal parameters in the operating status parameters of the rth type switching valve; t all is the total operation time of the switching valve. Express Seeking average.

[0102] Through the above logic formula, the leakage risk of the valve core running vibration spectrum is further added to the switching valve leakage risk k1 and k2 for calculation, providing the necessary prerequisite for the calculation of the final switching valve leakage risk K;

[0103] The following is a detailed explanation of the logical process of the frequency spectrum obtained by fast Fourier transform of the valve core operation vibration spectrum:

[0104] Discrete sampling:

[0105] First, use a suitable sensor (such as an accelerometer) to measure the vibration of the valve core, and use a data acquisition system to measure the vibration of the valve core at a certain sampling frequency f. s Discretely sample the vibration signal. Suppose the discrete vibration signal sequence obtained by sampling is x[n], where n=0, 1, 2, ..., N-1, and N is the number of sampling points.

[0106] Zero padding (optional):

[0107] In order to improve the frequency resolution of FFT calculation or make the data length meet the requirements of a specific FFT algorithm, the original signal sequence is sometimes padded with zeros. Zero padding does not change the spectral content of the signal, but it will represent the spectrum more finely in the frequency domain.

[0108] FFT calculation:

[0109] Use a fast Fourier transform algorithm (such as the Cooley-Tukey algorithm) to calculate the discrete signal x[n]. In most programming environments, there are ready-made FFT functions that can be called. For example, in Python, you can use the numpy.fft.fft function. Assume that the result obtained by the FFT calculation is X[k], k = 0, 1, 2, ..., N-1, where X[k] is a complex sequence.

[0110] Spectrum amplitude calculation:

[0111] In order to obtain the amplitude information of the spectrum (for subsequent calculation of energy), calculate in and are the real and imaginary parts of X[k] respectively. In this way, we get the spectrum amplitude sequence of the vibration signal, which represents the intensity of different frequency components.

[0112] After the above steps, the FFT process of the vibration signal is completed, and the spectrum data that can be used to calculate the energy percentage of the main frequency band is obtained. It should be noted that the sampling frequency f s The selection of must satisfy the Nyquist sampling theorem to avoid spectrum aliasing. At the same time, the determination of the appropriate number of sampling points N needs to comprehensively consider factors such as the duration of the signal and the frequency resolution.

[0113] like Figure 1As shown, the evaluation module is applied to record the final analysis switching valve leakage risk K, and based on the time series, generates a final switching valve leakage risk K change trend chart, which is presented in the form of a line graph. The horizontal axis of the trend chart represents time, and the vertical axis represents the final analysis switching valve leakage risk K. When there are no less than three groups of consecutive final analysis switching valve leakage risks K shown in the trend chart, the switching valve corresponding to the trend chart is judged as a switching valve to be replaced, and the system end user manually replaces the switching valve. After the system end user replaces the switching valve to be replaced, the system synchronously resets and runs.

[0114] In this embodiment, through the above settings, the operating logic of the diagnostic layer in the system is further limited, and the judgment of whether the switching valve needs to be replaced and the basis logic of system reset operation are further realized.

[0115] Embodiment 3:

[0116] In terms of specific implementation, based on Example 1, this example refers to Figure 2 The intelligent monitoring system for leakage failure of an RTO switching valve in Example 1 is further described in detail:

[0117] An intelligent monitoring process for leakage failure of an RTO switching valve, comprising:

[0118] Collecting the switching valve operation status parameters, setting the switching valve operation status parameter cleaning logic, and cleaning the switching valve operation status parameters based on the cleaning logic;

[0119] Setting abnormal parameter analysis logic, analyzing whether the parameters in the operating state parameters of the switching valve that has been cleaned are abnormal based on the analysis logic, and classifying the operating state parameters of the switching valve according to the analysis result of whether the operating state parameters of the switching valve are abnormal;

[0120] Analyze the switching valve leakage risk based on abnormal switching valve operation status parameters and normal switching valve operation status parameters respectively;

[0121] Comprehensively analyze the switching valve leakage risk based on the two groups of switching valve leakage risk analysis results, and record the switching valve leakage risk analysis results;

[0122] A decision is made whether to replace the switching valve based on the recorded switching valve leakage risk analysis results. After the switching valve is replaced, the system operation is reset synchronously.

[0123] In summary, in the above embodiment, during operation, the system comprehensively collects the operating status parameters of the switching valve, and after the collection, further retains high-value reference parameters based on data cleaning, and then based on parameter analysis, performs distributed analysis of the leakage risk of the switching valve, further comprehensively analyzes and sets the leakage fault judgment logic, and realizes the leakage fault judgment of the switching valve, which effectively ensures the long-term and stable operation of the switching valve. At the same time, based on the record of the switching valve leakage fault judgment result, it can further generate a switching valve replacement cycle recommendation, thereby serving the RTO system where the switching valve is located and completing safe and stable gas processing.

[0124] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent monitoring system for leakage fault of RTO switching valve, characterized in that: include: Monitoring layer, analysis layer and diagnostic layer; The operating status parameters of the switching valve are monitored in real time through the monitoring layer. The monitored operating status parameters of the switching valve are simultaneously cleaned and stored after data cleaning. The analysis layer runs in the monitoring layer to retrieve the stored operating status parameters of the switching valve, and uses the operating status parameters of the switching valve to analyze the leakage risk of the switching valve. The diagnosis layer further receives the switching valve leakage risk analysis results from the analysis layer, and predicts whether the switching valve currently has a leakage fault based on the switching valve leakage risk analysis results. The analysis layer includes a retrieval module, an analysis module and a correction module. The retrieval module is used to retrieve the switching valve operation status parameters stored in the monitoring layer. The analysis module is used to receive the switching valve operation status parameters retrieved by the retrieval module and analyze the switching valve leakage risk based on the switching valve operation status parameters. The correction module is used to obtain the switching valve leakage risk analysis result in the analysis module and correct the switching valve leakage risk analysis result. The switching valve operation state parameter retrieved by the retrieval module is: the switching valve operation state parameter corresponding to the time threshold from the last start to the end of the switching valve operation. The analysis logic for the switching valve leakage risk in the analysis module is expressed as: Where: k1, k2 are the leakage risks of the switching valve; H safe , H unsafe is the type of non-abnormal parameter and the type of abnormal parameter; u safe 、u unsafe is the total amount of u-type abnormal parameters in non-abnormal parameters and the total amount of u-type abnormal parameters in abnormal parameters; A v , A l is the value of the vth non-abnormal parameter in the uth non-abnormal parameter and the value of the lth abnormal parameter in the uth abnormal parameter; A max , A min is the maximum and minimum value of the parameter safety range; ω v ,ω l is the weight; in, The smaller the switching valve leakage risk k1 and k2 are, the lower the switching valve leakage risk is. Conversely, the higher the switching valve leakage risk is, the higher the type of non-abnormal parameter H is. sa f e Type H with abnormal parameters unsafe The valve core operation vibration spectrum parameters are not included.

2. According to claim 1, an intelligent monitoring system for leakage fault of RTO switching valve is characterized in that: The monitoring layer includes a collection module, a cleaning module, and a storage module. The collection module is used to collect the switching valve operation status parameters. The cleaning module is used to receive the switching valve operation status parameters collected by the collection module and clean the switching valve operation status parameters. The storage module is used to obtain the switching valve operation status parameters that have been cleaned in the cleaning module and store the switching valve operation status parameters. Among them, the switching valve operating status parameters collected by the acquisition module include: valve stroke, sealing surface pressure, gas flow rate, gas pressure loss when gas passes through, driving voltage, current and valve core operation vibration spectrum. The cleaning module is provided with parameter cleaning logic. The cleaning module cleans the switching valve operating status parameters collected by the acquisition module based on the parameter cleaning logic. The switching valve operating status parameters are all marked with a collection timestamp. The storage module distinguishes and stores the switching valve operating status parameters based on the collection timestamp of the switching valve operating status parameters.

3. The RTO switching valve leakage fault intelligent monitoring system according to claim 2 is characterized in that: The acquisition module is provided with a switching valve operation status parameter acquisition cycle, and the acquisition module collects the switching valve operation status parameters in real time based on the switching valve operation status parameter acquisition cycle; The logic for setting the switching valve operation status parameter acquisition cycle is: Where: T is the acquisition period of the switching valve operating status parameters; T0 is the acquisition period base; T now is the current time; T fault The time when the switching valve last failed; T fault ' is compared with T fault The time when the switching valve last failed; n is the total amount of the switching valve operating status parameters; |p now -p′| i is the absolute value of the difference between the current value of the i-th switching valve operating status parameter and the last collected value; Among them, max(p now ,p′) i Indicates taking the maximum value in the brackets. The collection cycle base T0 is customized by the system user. The switching valve operation status parameter collection cycle T is applied to the next operation of the switching valve. After the next operation of the switching valve is completed, the latest operation status parameters of the switching valve are applied to obtain a new switching valve operation status parameter collection cycle. When the switching valve runs again, the newly obtained switching valve operation status parameter collection cycle is applied. The switching valve operation status parameters are collected in real time during the operation of the switching valve, and so on.

4. The RTO switching valve leakage fault intelligent monitoring system according to claim 2 is characterized in that: The cleaning logic for the switching valve operating state parameters in the cleaning module is expressed as: Generate a sequence of each switching valve operating state parameter based on the acquisition time sequence of each switching valve operating state parameter, and calculate the mean and standard deviation of the parameter sequence; Setting abnormal parameter determination logic to determine each switching valve operation state parameter in the switching valve operation state parameter sequence; Parameters that meet one of the above conditions are judged as abnormal parameters, otherwise, they are non-abnormal parameters; Where: is the mean value; m is the total number of parameters in the switching valve operation state parameter sequence; x j is the j-th switching valve operating state parameter value; σ is the standard deviation; k is a constant; Among them, the constant k is a positive integer, which is customized by the system end user. Based on the above formula, the abnormal parameters and non-abnormal parameters of various types of switching valve operating status parameters are determined. The abnormal parameters in each type of switching valve operating status parameters are retained. When there is only one set of non-abnormal parameters between two adjacent groups of abnormal parameters, the non-abnormal parameters are retained. When there is not less than one set of non-abnormal parameters between two adjacent groups of abnormal parameters, the non-abnormal parameters in the middle position are selected to be retained, and the remaining non-abnormal parameters are discarded.

5. The RTO switching valve leakage fault intelligent monitoring system according to claim 1 is characterized in that: After receiving the switching valve operation status parameters retrieved by the retrieval module, the analysis module simultaneously classifies the abnormal parameters and the non-abnormal parameters in the switching valve operation status parameters, and analyzes the switching valve operation leakage risk based on the abnormal parameters and the non-abnormal parameters respectively; After the switching valve leakage risks k1 and k2 are obtained, the leakage risk represented by the valve core operation vibration spectrum is further added to the switching valve leakage risks k1 and k2: Where: k1′, k2′ are the switching valve leakage risks with the leakage risk represented by the valve core running vibration spectrum added; (f low , f high ) is the main frequency band range of the valve core operation vibration spectrum; X(f) is the frequency spectrum obtained by fast Fourier transform of the valve core operation vibration spectrum.

6. An intelligent monitoring system for leakage fault of RTO switching valve according to claim 1 or 5, characterized in that: The correction logic for the switching valve leakage risk analysis result in the correction module is expressed as: K=k1′×(1-λ)+k2′×λ; Where: K is the final analysis switching valve leakage risk; λ is the risk reference proportional factor; Among them, the risk reference ratio factor q is the type of switching valve operating state parameter; (t first-last ) r is the collection time interval between the earliest group of abnormal parameters and the latest group of abnormal parameters in the operating status parameters of the rth type switching valve; t all is the total operation time of the switching valve. Express Seeking the average.

7. The RTO switching valve leakage fault intelligent monitoring system according to claim 1 is characterized in that: The diagnosis layer includes a receiving module, a determination module and an evaluation module. The receiving module is used to receive the final analysis switching valve leakage risk K analyzed in the analysis layer. The determination module is used to set a switching valve leakage fault determination threshold, compare the switching valve leakage fault determination threshold with the final analysis switching valve leakage risk K, and determine whether the switching valve has a leakage fault problem based on the comparison result. The evaluation module is used to record the final analysis switching valve leakage risk K and the determination result of the determination module received by the receiving module in the diagnosis layer under the continuous operation state of the system, and evaluate the reliability of the switching valve in combination with the final analysis switching valve leakage risk K and the determination result of the determination module; Among them, the switching valve leakage fault judgment threshold set in the judgment module is customized by the system end user, and the system end user reads the latest recorded final analysis switching valve leakage risk K and judgment result in real time in the evaluation module.

8. The RTO switching valve leakage fault intelligent monitoring system according to claim 7 is characterized in that: The evaluation module is applied to record the final analysis switching valve leakage risk K, and based on the time series, generates a final switching valve leakage risk K change trend chart, the trend chart is expressed as a line chart, the horizontal axis of the trend chart represents time, and the vertical axis represents the final analysis switching valve leakage risk K. When the continuous final analysis switching valve leakage risk K represented in the trend chart rises continuously for no less than three groups, the switching valve corresponding to the trend chart is judged as a switching valve to be replaced, and the system end user manually replaces the switching valve. After the system end user replaces the switching valve to be replaced, the system resets and runs synchronously.

9. The RTO switching valve leakage fault intelligent monitoring system according to claim 1 is characterized in that: The retrieval module is interactively connected to the storage module via a wireless network, the storage module is interactively connected to the cleaning module and the acquisition module via a wireless network, the retrieval module is interactively connected to the analysis module and the correction module via a wireless network, the correction module is interactively connected to the receiving module via a wireless network, and the receiving module is interactively connected to the determination module and the evaluation module via a wireless network.

10. An intelligent monitoring process for leakage faults of RTO switching valves, the process being an implementation process of an intelligent monitoring system for leakage faults of RTO switching valves as claimed in any one of claims 1 to 9, characterized in that: include: Collecting the switching valve operation status parameters, setting the switching valve operation status parameter cleaning logic, and cleaning the switching valve operation status parameters based on the cleaning logic; Setting abnormal parameter analysis logic, analyzing whether the parameters in the operating state parameters of the switching valve that has been cleaned are abnormal based on the analysis logic, and classifying the operating state parameters of the switching valve according to the analysis result of whether the operating state parameters of the switching valve are abnormal; Analyze the switching valve leakage risk based on abnormal switching valve operation status parameters and normal switching valve operation status parameters respectively; Comprehensively analyze the switching valve leakage risk based on the two groups of switching valve leakage risk analysis results, and record the switching valve leakage risk analysis results; A decision is made whether to replace the switching valve based on the recorded switching valve leakage risk analysis results. After the switching valve is replaced, the system operation is reset synchronously.

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