A RCO waste gas treatment system and treatment method thereof

Abstract

The present invention relates to the technical field of waste gas treatment, and in particular provides an RCO waste gas treatment system and a treatment method thereof, which solves the problem of cumbersome cleaning of catalyst pore crystals; the system comprises an acoustic signal acquisition component, a blockage judgment component and a residual crystal detection component; the method comprises real-time monitoring of acoustic signals inside the catalyst and pre-processing; analyzing the blockage degree of the catalyst pores by changes in target characteristics; if the blockage degree of the catalyst pores exceeds a preset threshold, starting a water mist spraying device to clean the salt crystals in the catalyst; continuing to monitor the acoustic signals inside the catalyst in real time through an acoustic sensor; when it is detected that the blockage degree of the catalyst pores is lower than the preset threshold, turning off the water mist spraying device; and at the same time, the acoustic sensor continues to monitor the inside of the catalyst. The present invention relies on acoustic methods for monitoring, and realizes real-time, accurate, and non-invasive catalyst state detection and blockage analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of waste gas treatment, and in particular to an RCO (regenerative catalytic oxidation) waste gas treatment system and a treatment method thereof. Background Art

[0002] In the flue gas treatment system, the flue gas enters the RCO treatment system after bag dust removal, alkaline washing spray desulfurization, and activated carbon dehumidification. Although the flue gas is dehumidified by activated carbon, there is still a lot of water vapor (about 8%) entering the RCO, and the water vapor contains a certain amount of salt, and its conductivity is 3000~6000us / cm. When the salt crystallizes, it blocks the catalyst pores, reduces the flux and treatment efficiency, and increases the maintenance frequency; high water vapor concentration reduces the catalyst treatment effect and service life; the maintenance frequency increases, the catalyst damage rate increases, and the operating cost increases.

[0003] Prior art 1, Chinese patent, application number: 202310321430.2 discloses an RCO organic waste gas treatment system, including a high-temperature catalytic device, a high-temperature valve, an RCO furnace, a high-temperature flue gas waste heat recovery device, an exhaust pipe, a fresh air valve, a fan and a connecting pipe. The high-temperature catalytic device enables the high-temperature flue gas to complete a complete deep catalytic combustion reaction, thereby improving the purification efficiency of the system; the high-temperature catalytic device improves the high-temperature emission capacity of the system, improves the design value range of the exhaust gas, reduces the temperature volatility in the RCO, improves the service life of the catalyst and the operating stability of the RCO system, reduces the safety risk of excessive temperature in the RCO, and improves the safety of the system. Although the high-temperature flue gas waste heat recovery device is used to recover the waste heat of the high-temperature flue gas after the secondary deep catalytic combustion, the waste heat recovery capacity is improved and the added value of the system is increased. However, the device may be shut down due to factors such as insufficient combustion-supporting air volume and insufficient fuel gas supply;

[0004] Prior art 2, Chinese patent, application number 2022310888278.6 discloses an RCO waste gas treatment device, including a dry filter, an activated carbon box, a heat exchanger 1 and a catalytic combustion chamber connected in sequence, and also includes an oxygen and nitrogen generator, which is connected to both the activated carbon box and the catalytic combustion chamber; heat exchanger 2 is arranged between the catalytic combustion chamber and the activated carbon box; there are at least two external circulation heat exchangers, one is arranged between heat exchanger 2 and the activated carbon box, and the other is arranged between the catalytic combustion chamber and heat exchanger 1; heat exchanger 3 is arranged in the activated carbon box, located on the side of the activated carbon, and the activated carbon box has an adsorption inlet, an adsorption outlet, a desorption inlet and a desorption outlet; a microwave magnetron is arranged outside the activated carbon box; heat exchanger 4 is arranged in the catalytic combustion chamber, located on the side of the catalyst, and the catalytic combustion chamber has an inlet and an outlet; a heat storage body is arranged in the catalytic combustion chamber. Although this technical solution solves the problem of low activated carbon desorption efficiency in RCO catalytic combustion equipment in the prior art. However, the equipment requires a long preheating time, which may affect the response speed in an emergency;

[0005] Prior art three, Chinese patent, application number 202111067432.0 discloses a two-chamber RCO exhaust gas treatment device and a treatment method thereof, including a box body, the interior of the box body includes a heat storage part and a heating catalytic part located at the lower side and the upper side respectively, wherein the heat storage part includes a first heat storage area and a second heat storage area arranged on the left and right, and the first heat storage area and the second heat storage area are separated by a partition; a first connecting part is provided at the bottom of the first heat storage area, and a second connecting part is provided at the bottom of the second heat storage area; the heating catalytic part includes a heating area and a catalytic area arranged on the left and right, and the heating area and the catalytic area are connected; a switching pipeline is provided between the heat storage part and the heating catalytic part, and the switching pipeline is used to realize the mutual switching between the first connection mode and the second connection mode. Although the overall volume of the two-chamber RCO exhaust gas treatment device is reduced and the loading amount of the catalyst is reduced. However, there is still a lot of water vapor entering the RCO, and the water vapor contains a certain amount of salt, and its conductivity is 3000~6000us / cm; when the salt crystallizes, it blocks the catalyst pores, reduces the flux and treatment efficiency, and increases the maintenance frequency; high water vapor concentration reduces the catalyst treatment effect and service life; the maintenance frequency increases, the catalyst damage rate increases, and the operating cost increases.

[0006] At present, the existing technologies 1, 2 and 3 may cause the device to shut down due to factors such as insufficient combustion-supporting air volume and insufficient fuel gas supply. The equipment requires a long preheating time, which may affect the response speed in an emergency. There is still a lot of water vapor entering the RCO, and the maintenance frequency increases. Therefore, the present invention provides an RCO exhaust gas treatment system and a treatment method thereof. A water mist spraying device is added to the upper and lower ends of the RCO box. When salt crystals block the catalyst pores, it is sprayed and cleaned without disassembling and cleaning the catalyst, thereby reducing the catalyst damage rate. Summary of the invention

[0007] In order to solve the above technical problems existing in the prior art, the present invention provides an RCO (regenerative catalytic oxidation) waste gas treatment system and a treatment method thereof. The specific technical scheme is as follows:

[0008] In one aspect of the present invention, a RCO exhaust gas treatment system is provided, comprising the following components:

[0009] The acoustic signal acquisition component is responsible for placing an acoustic sensor in the regeneration catalytic oxidation box toward the catalyst in the catalytic combustion chamber, monitoring the acoustic signal inside the catalyst in real time and performing preprocessing; transmitting the target features of the preprocessed acoustic signal to the blockage judgment component;

[0010] The blockage judgment component is responsible for receiving the target features after preprocessing and analyzing the blockage degree of the catalyst pores through the changes in the target features. If the blockage degree of the catalyst pores exceeds the preset threshold, the water mist spraying device is activated to clean the salt crystals in the catalyst.

[0011] The residual crystallization detection component is responsible for continuing to monitor the acoustic signals inside the catalyst in real time through the acoustic sensor; when it is detected that the blockage degree of the catalyst pores is lower than the preset threshold, the water mist spraying device is turned off; at the same time, the acoustic sensor continues to monitor the inside of the catalyst.

[0012] In an optional implementation, the acoustic signal collection component includes:

[0013] The signal preprocessing module is responsible for denoising the acoustic signal by using low-pass filtering, high-pass filtering or adaptive filtering, multiplying the acoustic signal by the Hanning window to retain the main components of the acoustic signal; calculating the maximum and minimum values ​​of the acoustic signal, and adjusting the amplitude of the acoustic signal to the range of 0-1;

[0014] The signal conversion module is responsible for segmenting the pre-processed sound wave signal, setting the length of each sound wave signal segment, and capturing the changes of the sound wave signal; for each sound wave signal segment, the time domain signal is converted into a frequency domain signal to obtain the frequency spectrum of each sound wave signal segment; each point of the frequency spectrum corresponds to the amplitude and phase of the sound wave signal at the set frequency, forming a complex array;

[0015] The spectrum feature extraction module is responsible for extracting the amplitude and phase of each frequency component in the complex array, recording the characteristics of high and low frequencies to analyze the characteristic frequency changes of harmonic frequencies; screening the peaks in the spectrum and identifying the significant frequency components; for each significant frequency component, recording its corresponding amplitude; analyzing the transient characteristics of the signal in real time at different time periods in the complex array; integrating the amplitude, phase and transient characteristics into a feature vector.

[0016] In an optional implementation manner, the blocking judgment component includes:

[0017] The threshold setting module is responsible for setting the threshold for judging the degree of blockage of catalyst pores according to historical data, which serves as the standard for judging the blockage of catalyst pores;

[0018] The result comparison module is responsible for obtaining the amplitude, phase and transient characteristics of the target features, comparing the content of the target features with the threshold, and determining whether to start the water mist spraying device according to the comparison results;

[0019] If the blockage level is below the set threshold, the catalyst status will continue to be monitored without cleaning;

[0020] If the degree of blockage exceeds the threshold, the catalyst substrate is deemed to be blocked and a cleaning operation needs to be initiated;

[0021] The parameter acquisition module is responsible for receiving the instruction to start the water mist spraying device, initializing the water mist spraying device, setting the working parameters of the water mist spraying device according to the degree of blockage, and cleaning the salt crystals in the catalyst by spraying water mist with the support of the working parameters.

[0022] In an optional implementation manner, the threshold setting module includes:

[0023] The data collection submodule is responsible for collecting historical data, including the acoustic characteristics of the amplitude, phase and transient characteristics of the catalyst's acoustic wave characteristics, as well as temperature, pressure, humidity, gas composition, catalyst service life, operation cycle and cleaning frequency; creating new features related to the degree of blockage based on historical data, combining acoustic signals with environmental factors to generate a feature set of pore blockage rate, and selecting features that are highly correlated with catalyst blockage to construct a decision tree;

[0024] The node setting submodule is responsible for selecting the amplitude of the catalyst acoustic wave feature to set the root node, setting a dynamic threshold instead of a static one: using the minimum and maximum amplitudes of historical data to determine the dynamic range as a basis for decision-making; setting specific blockage degree judgment criteria for each branch; at the same time, designing personalized logic for each sub-branch; adding a rework branch to each sub-node, detecting that multiple samples are on the boundary of the same threshold in a certain state, and continuing to monitor higher-dimensional features to form further sub-nodes;

[0025] The model training submodule is responsible for training the decision tree using labeled historical data, traversing the decision tree structure from the root node, using dynamically set thresholds to make real-time decisions, and then outputting states such as normal, slightly blocked, and requiring cleaning, and providing real-time feedback.

[0026] In an optional implementation, the result comparison module comprises:

[0027] The determination and detection submodule is responsible for using the data processing engine to filter the amplitude, phase and transient features from the target features; performing multi-level comparison between the standardized target feature data and the dynamically set thresholds, including threshold high and low determination and abnormal behavior detection;

[0028] The score generation submodule is responsible for evaluating the degree of congestion based on the comparison results, if the target feature is detected to exceed the set threshold, and quantifying different congestion states to generate an overall congestion score;

[0029] The suggestion generation submodule is responsible for automatically generating treatment suggestions based on the results of the blockage score generation. Mild blockages continue to be monitored, while severe blockages require starting the cleaning device and adjusting the operating parameters.

[0030] In an optional implementation, the parameter acquisition module includes:

[0031] The mode selection submodule is responsible for self-checking the water mist spray device, automatically reporting and stopping the operation when an abnormality is found, and confirming that the water mist spray device selects any one or two of the adaptive hybrid mode, segmented reinforcement mode, tactical alternation mode and cross-dimensional coordination mode according to the degree of blockage;

[0032] The mode execution submodule is responsible for starting the water mist spraying device, spraying in real time to clean the salt crystals in the catalyst according to the working parameters corresponding to the adaptive mixing mode, segmented reinforcement mode, tactical alternation mode and cross-dimensional coordination mode;

[0033] The angle adjustment submodule is responsible for monitoring the key parameters of the catalyst, such as temperature, pressure and flow rate, and evaluating the spraying effect. Based on the evaluation results, the nozzle of the water mist spraying device is adjusted at multiple angles to clean the blockages at different locations.

[0034] In an optional implementation, the mode selection submodule includes:

[0035] The initial mode starting unit is responsible for starting the adaptive mixing mode and spraying water mist according to the working parameters set in the adaptive mixing mode; obtaining the flow rate and pressure in the adaptive mixing mode;

[0036] Among them, the flow rate affects the transmission speed of the catalyst reactants and the efficiency of the catalytic reaction; in the catalytic process or fluid transmission, the change of pressure can affect the flow characteristics of the fluid;

[0037] The first mode switching unit is responsible for adjusting the adaptive hybrid mode to the segmented enhanced mode when the flow rate drops to a certain ratio; when the flow rate in the segmented enhanced mode drops to a certain ratio, the humidity exceeds the safety threshold, and the particle concentration increases, it switches to the tactical alternating mode;

[0038] The second mode switching unit is responsible for restoring the flow rate in the tactical alternation mode to the initial standard upper limit, the pressure to the normal range, the humidity to the safe range, automatically adjusting the mode back to the adaptive mixed mode, resuming the monitoring cycle, and continuing to monitor to observe whether there is any circuit blockage.

[0039] In an optional implementation manner, the angle adjustment submodule includes:

[0040] The interactive adjustment unit is responsible for defining the parameter variables of the nozzle angle adjustment, and adjusting the nonlinear response relationship of the nozzle and the interaction between various parameters through the polynomial model function form;

[0041] Angle adaptation unit, responsible for adapting the nozzle adjustment angle to the spray flow rate and flow pattern through a composite function, while taking into account the final contact height between the spray and the catalyst;

[0042] The feedback adjustment unit is responsible for making real-time adjustments based on dynamic feedback through a feedback adjustment function, and continuously optimizing the spray effect of the nozzle through an iterative update process.

[0043] In an optional embodiment, the residual crystal detection component comprises:

[0044] A decision generation module, which is responsible for the blockage judgment component to determine that the blockage degree of the catalyst pores is lower than the threshold value, and the blockage judgment component generates an instruction to close the water mist spraying device, and the closing instruction is quickly transmitted to the control unit of the water mist spraying device;

[0045] The operation execution module is responsible for receiving the shutdown instruction, and the water mist spraying device will execute the shutdown operation, cut off the water supply, and automatically close the nozzle;

[0046] The re-detection module is responsible for re-determining the blockage degree of the catalyst and repeating the cleaning procedure when it is detected that the blockage exceeds the threshold again.

[0047] Another aspect of the present invention provides a RCO waste gas treatment method for realizing the RCO waste gas treatment system, comprising the following steps:

[0048] An acoustic sensor is arranged in the regeneration catalytic oxidation box toward the catalyst in the catalytic combustion chamber to monitor the acoustic signal inside the catalyst in real time and perform preprocessing; the target features of the preprocessed acoustic signal are transmitted to the blockage judgment component;

[0049] Receive the target features after pretreatment, and analyze the blockage degree of the catalyst pores through the changes in the target features; if the blockage degree of the catalyst pores exceeds the preset threshold, start the water mist spraying device to clean the salt crystals in the catalyst;

[0050] The acoustic signal inside the catalyst continues to be monitored in real time through the acoustic sensor; when it is detected that the blockage degree of the catalyst pores is lower than the preset threshold, the water mist spraying device is turned off; at the same time, the acoustic sensor continues to monitor the inside of the catalyst.

[0051] The acoustic signal acquisition component of the present invention monitors the acoustic signal inside the catalyst in real time through an acoustic sensor, and can capture the change of the operating state of the catalyst; the acoustic signal is pre-processed and transmitted to the blockage judgment component to ensure that the processed data is accurate and reliable. Significance achieved: Ensure that monitoring can be carried out before blockage or performance degradation, and realize the "health" management of the catalyst; provide detailed and timely information about the operation of the catalytic system, which is helpful for operation management and system maintenance. Advantages: Compared with traditional monitoring methods, such as temperature and pressure monitoring, acoustic signal acquisition provides a non-invasive, real-time detection method that can more accurately reflect the performance state of the catalyst. The blockage judgment component analyzes the blockage degree of the catalyst pores according to the change of the acoustic signal characteristics, and judges whether the catalyst needs to be cleaned; once it is detected that the blockage degree exceeds the preset threshold, the water mist spraying device is automatically started. Significance achieved: Avoid unnecessary cleaning, ensure that it is only carried out when it is really needed, and greatly improve the operating efficiency; through accurate monitoring and timely cleaning, it helps to extend the service life of the catalyst and reduce the overall maintenance cost. Advantages: Compared with the previous regular cleaning method or judgment based on temperature / pressure changes, acoustic signal analysis provides real-time and dynamic blockage judgment, which enhances the flexibility and intelligence level of the system. The residual crystal detection component monitors the state of the catalyst in real time through acoustic signals during the operation and shutdown of the water mist spraying device to ensure that the catalyst pores will not be blocked again; it can dynamically adjust the operation of the water mist spraying according to the state of the catalyst to optimize the cleaning process. The significance achieved: Ensure that the catalyst operates in the best state and reduce the efficiency loss that may be caused by the uncleaned part; through real-time feedback and dynamic adjustment, it affects the long-term stability and working efficiency of the catalyst. Advantages: Compared with traditional passive monitoring systems, it has more efficient judgment capabilities and response speeds, and the real-time feedback mechanism significantly reduces the risk of catalyst failure. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0053] Figure 1 This is a block diagram of the RCO exhaust gas treatment system provided in Example 1 of the present invention;

[0054] Figure 2 This is a block diagram of an acoustic signal acquisition component provided in Embodiment 2 of the present invention;

[0055] Figure 3 This is a block diagram of a congestion determination component provided in Embodiment 3 of the present invention;

[0056] Figure 4 This is a block diagram of a residual crystal detection component provided in Example 4 of the present invention;

[0057] Figure 5 This is a flow chart of the RCO waste gas treatment method provided in Example 5 of the present invention;

[0058] Figure 6 A block diagram of an electronic device provided by the present invention;

[0059] Figure 7 A block diagram of a computer-readable storage medium provided for the present invention. DETAILED DESCRIPTION

[0060] The technical solutions in the embodiments of the present invention will be described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0061] In the following, the terms "first", "second", etc. are used only for convenience of description and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0062] In the present invention, unless otherwise clearly specified and limited, the term "connection" should be understood in a broad sense, for example, "connection" can be a fixed mechanical connection, or a detachable mechanical connection, or integrated; or, "connection" can be a direct connection, or an indirect connection through an intermediate medium. In addition, unless otherwise clearly specified and limited, the term "coupling" should be understood in a broad sense, for example, "coupling" can be a direct electrical connection, such as physical contact and electrical conduction between two components, and can also be understood as electrical connection between different components in a circuit structure through physical lines such as copper foil or wires on a printed circuit board (PCB) that can transmit electrical signals to transmit electrical signals; or, "coupling" can be an indirect electrical connection between two components through an intermediate medium; or, "coupling" can be an electrical connection between two components in an air-spaced / non-contact manner, for example, two components are electrically connected by capacitive coupling to transmit electrical signals.

[0063] In the embodiments of the present invention, directional terms such as "up", "down", "left" and "right" may be defined including but not limited to the orientation relative to the schematic placement of the components in the drawings. It should be understood that these directional terms may be relative concepts, which are used for relative description and clarification, and may change accordingly according to the change of the orientation of the components in the drawings.

[0064] The embodiments of the present invention can be used for industrial waste gas treatment: RCO (regenerative catalytic oxidation) systems are commonly used for volatile organic compounds (VOCs) waste gas treatment in many industrial fields, such as petrochemicals, coatings, pharmaceuticals and food processing. Effective catalyst cleaning can ensure that the system operates efficiently and continuously to meet environmental protection requirements. Environmental monitoring and control: The real-time acoustic monitoring and cleaning system can be applied to environmental monitoring to help timely discover catalyst blockage problems, ensure effective monitoring of waste gas treatment facilities, and provide data support for environmental management. Energy-saving and emission reduction technology: Cleaning the catalyst can improve energy efficiency and reduce energy consumption. Therefore, the system is of great significance in promoting enterprise intelligence, energy saving and emission reduction, and can help achieve sustainable development goals. Intelligent manufacturing technology improves the automation and intelligence of the production process, and uses acoustic signals to monitor in real time to achieve predictive maintenance. Catalyst life extension: By keeping the catalyst clean, its service life can be extended, the cost of frequent catalyst replacement can be reduced, and economic benefits can be enhanced. Safety monitoring: In some dangerous environments, maintaining the stability of catalyst performance can reduce equipment failures and potential risks. The acoustic detection of the present invention can provide safety warnings and maintain the safety of operators. Multiple catalyst applications: The clogging monitoring and cleaning features can be extended to handle other types of catalysts, such as those used for PM (particulate matter) removal, for a wider range of applications.

[0065] Description of the key technical features of the embodiments of the present invention: Acoustic signal monitoring: By setting an acoustic sensor in the catalytic combustion chamber, the acoustic signal is monitored and analyzed in real time to monitor the status and operation of the catalyst. Preprocessing feature extraction: The preprocessing step of the acoustic signal ensures that the target features are accurate and effective, so as to perform effective blockage analysis. Blockage judgment mechanism: Set a blockage judgment threshold, and judge the degree of blockage of the catalyst based on the change of the target feature to ensure timely cleaning. Automated water mist spraying device: After the catalyst pore blockage exceeds the threshold, the system automatically activates the water mist spraying device to clean the catalyst. Real-time monitoring and feedback: The catalyst cleaning effect during the water mist spraying process is monitored through the residual crystallization detection component, so that the spraying system can be shut down in time at the end of cleaning.

[0066] The water mist spraying device includes a water mist nozzle: ultrasonic atomization or high-pressure spray technology is used to convert water into fine water mist so that it can fully contact the catalyst surface and effectively clean the salt crystals; water supply system: including water tanks, pipes, flow control valves, etc., to ensure a stable water supply and appropriate water flow, and prevent unstable water supply from causing poor cleaning effect. Control unit: electronic control system integration, responsible for receiving the signal of the blockage judgment component 2, controlling the opening and closing of the water mist nozzle and the duration of the spray, ensuring the automation and precision of the spray operation; pneumatic or electric drive device: used to adjust the spray angle and position of the nozzle to ensure that the water mist can cover every corner of the catalyst and maximize the cleaning effect; drainage system: equipped with appropriate drainage structure to ensure that the wastewater is discharged in time after cleaning to prevent secondary pollution; monitoring and feedback interface: data interface connecting the acoustic sensor and the monitoring system, used to receive real-time data feedback, so as to make timely adjustments and optimizations to the water mist spraying device.

[0067] Embodiment 1:

[0068] like Figure 1 As shown, an embodiment of the present invention provides a RCO exhaust gas treatment system, comprising:

[0069] The acoustic signal acquisition component 1 is responsible for arranging an acoustic sensor in the regeneration catalytic oxidation box toward the catalyst in the catalytic combustion chamber, monitoring the acoustic signal inside the catalyst in real time and performing preprocessing; and transmitting the target features of the preprocessed acoustic signal to the blockage judgment component 2;

[0070] The blockage judgment component 2 is responsible for receiving the target features after preprocessing and analyzing the blockage degree of the catalyst pores through the changes in the target features; if the blockage degree of the catalyst pores exceeds the preset threshold, the water mist spraying device is activated to clean the salt crystals in the catalyst;

[0071] The residual crystal detection component 3 is responsible for continuing to monitor the acoustic signals inside the catalyst in real time through the acoustic sensor; when it is detected that the blockage degree of the catalyst pores is lower than the preset threshold, the water mist spraying device is turned off; at the same time, the acoustic sensor continues to monitor the inside of the catalyst.

[0072] In the above embodiment, the acoustic signal acquisition component 1 of this embodiment monitors the acoustic signal inside the catalyst in real time through an acoustic sensor, which can capture the changes in the operating state of the catalyst; the acoustic signal is pre-processed and transmitted to the blockage judgment component to ensure that the processed data is accurate and reliable. Significance achieved: Ensure that monitoring can be carried out before blockage or performance degradation, and realize the "health" management of the catalyst; provide detailed and timely information about the operation of the catalytic system, which is helpful for operation management and system maintenance. Advantages: Compared with traditional monitoring methods, such as temperature and pressure monitoring, acoustic signal acquisition provides a non-invasive, real-time detection method that can more accurately reflect the performance status of the catalyst. The blockage judgment component 2 analyzes the blockage degree of the catalyst pores according to the changes in the acoustic signal characteristics and determines whether the catalyst needs to be cleaned; once the blockage degree is detected to exceed the preset threshold, the water mist spraying device is automatically started. Significance achieved: Avoid unnecessary cleaning, ensure that it is only carried out when it is really needed, and greatly improve the operating efficiency; through accurate monitoring and timely cleaning, it helps to extend the service life of the catalyst and reduce the overall maintenance cost. Advantages: Compared with the previous periodic cleaning method or judgment based on temperature / pressure changes, acoustic signal analysis provides real-time and dynamic blockage judgment, enhancing the flexibility and intelligence level of the system. During the operation and shutdown of the water mist spraying device, the residual crystallization detection component 3 monitors the state of the catalyst in real time through acoustic signals to ensure that the catalyst pores will not be blocked again; it can dynamically adjust the operation of the water mist spraying according to the state of the catalyst to optimize the cleaning process. Significance achieved: Ensure that the catalyst operates in the best condition and reduce the efficiency loss that may be caused by the uncleaned part; through real-time feedback and dynamic adjustment, it affects the long-term stability and working efficiency of the catalyst. Advantages: Compared with traditional passive monitoring systems, it has more efficient judgment capabilities and response speeds, and the real-time feedback mechanism significantly reduces the risk of catalyst failure.

[0073] Compared with the existing technical solutions, this embodiment uses acoustic methods for monitoring, achieving real-time, accurate, and non-invasive catalyst status detection and blockage analysis. Its main advantages are as follows: real-time dynamic monitoring supports immediate response, avoiding unnecessary manual inspection and time waste; through the analysis of acoustic signals, the entire treatment system has intelligent early warning and adaptive adjustment capabilities; accurate cleaning control improves the efficiency of catalyst use, while extending its service life and reducing long-term operation and maintenance costs. It effectively improves the efficiency of catalyst monitoring and maintenance, and is an important technological advancement in the field of modern industrial waste gas treatment.

[0074] Embodiment 2:

[0075] like Figure 2 As shown, based on Example 1, the acoustic signal acquisition component 1 provided in this embodiment of the present invention includes:

[0076] The signal preprocessing module is responsible for denoising the acoustic signal by using low-pass filtering, high-pass filtering or adaptive filtering, multiplying the acoustic signal by the Hanning window to retain the main components of the acoustic signal; calculating the maximum and minimum values ​​of the acoustic signal, and adjusting the amplitude of the acoustic signal to the range of 0-1;

[0077] The signal conversion module is responsible for segmenting the pre-processed sound wave signal, setting the length of each sound wave signal segment, and capturing the changes of the sound wave signal; for each sound wave signal segment, the time domain signal is converted into a frequency domain signal to obtain the frequency spectrum of each sound wave signal segment; each point of the frequency spectrum corresponds to the amplitude and phase of the sound wave signal at the set frequency, forming a complex array;

[0078] The spectrum feature extraction module is responsible for extracting the amplitude and phase of each frequency component in the complex array, recording the characteristics of high and low frequencies to analyze the characteristic frequency changes of harmonic frequencies; screening the peaks in the spectrum and identifying the significant frequency components; for each significant frequency component, recording its corresponding amplitude; analyzing the transient characteristics of the signal in real time at different time periods in the complex array; integrating the amplitude, phase and transient characteristics into a feature vector.

[0079] In this embodiment, the signal preprocessing module uses the RLS (recursive least squares) algorithm for adaptive filtering:

[0080]

[0081] In the formula, represents the output of the filtered signal, y[n-1] represents the output of the filtered signal at the previous moment (i.e. time n-1), represents the error signal, calculated as , represents an adaptive gain factor, which is usually updated recursively and helps control the convergence speed. represents the past value vector of the input signal, used to update the weights, Represents the step size factor, which determines the learning speed;

[0082] The weighting of the Hanning window function can be expressed in complex form:

[0083]

[0084] In the formula, represents the phase adjustment factor; N represents the length of the signal or the number of sampling points; Dynamically adjust according to specific needs to increase the phase information of the device signal.

[0085] Normalization can be expressed using Z-score standardization:

[0086]

[0087] In the formula, Indicates the mean value of the device signal; Represents the standard deviation of the sound wave signal; represents the i-th sampling point of the device signal after weighted processing by the Hanning window function;

[0088] The signal transformation module uses discrete cosine transform (DCT):

[0089]

[0090] Spectral feature extraction module:

[0091] The high-order characteristics of amplitude and phase can be described by Fourier transform power spectrum analysis:

[0092]

[0093]

[0094]

[0095] In the formula, represents the power spectrum at the kth frequency point; A[k] and [k] represents the high-order characteristics of the amplitude and phase of the kth frequency point in the spectrum, while Im(X[k]), Re(X[k]) and arg(X[k]) are the real part, imaginary part and argument of the complex number X[k] required to calculate these characteristics; q represents the adjustment factor, which is used to enhance the sensitivity of certain frequency components;

[0096] Transient feature extraction

[0097]

[0098] In the formula and It is the minimum and maximum value within the entire signal segment, used to eliminate the impact of amplitude differences;

[0099] Then, by weighted combination of amplitude feature A[k], phase feature [k] and transient features T(n) to construct the feature vector F. Specifically,

[0100] Feature vector integration, constructing a multi-dimensional feature vector, considering the weighted combination representation as follows:

[0101]

[0102] In the formula, , , Represent the weighting coefficients of amplitude, phase and transient features, respectively, which are used to measure their contribution in the feature vector, and K represents the number of frequency points.

[0103] In the above embodiment, the signal preprocessing module of this embodiment effectively removes the background noise in the input sound wave signal by using low-pass filtering, high-pass filtering or adaptive filtering technology to make the signal clearer; applies Hanning window or other window functions to reduce boundary effects, enhance the resolution of the signal in the frequency domain, and retain the main components; normalizes the amplitude of the signal to the range of 0-1, and provides a consistent dynamic range for subsequent data analysis and processing. Practical significance Improve signal quality: denoising; the normalized signal can make the model easier to compare and analyze because its dynamic range is consistent. Advantages over the prior art: adaptive filtering can be dynamically adjusted according to the instantaneous characteristics of the signal, which is better than the traditional fixed parameter filtering method, can adapt under different signal conditions, and effectively remove noise of different properties; integrates multiple denoising / filtering means (such as mixed use of low-pass and high-pass), which greatly improves the overall quality of the signal. The signal conversion module segments the sound wave signal and can capture transient characteristics and local information; the time domain signal of each signal segment is converted into a frequency domain signal through fast Fourier transform (FFT), its frequency spectrum is obtained, and the relevant amplitude and phase information is output. Practical significance: Accurately identify the changes of the signal in each segment, contributing to the analysis of instantaneous characteristics; the frequency domain signal provides rich frequency component information, so that the acoustic characteristics can be evaluated in real time when analyzing a specific frequency. Advantages over existing technologies The segment length and overlap rate are adjusted according to the real-time signal attributes, optimizing the time resolution of signal analysis, which is superior to the static signal segment processing technology; the use of fast Fourier transform (FFT) technology ensures the feasibility of real-time processing, which may cause delays in traditional methods. The spectrum feature extraction module extracts the amplitude and phase information of each frequency component from the frequency domain, making the characterization of the signal clearer; by setting a threshold, the spectrum data is peak detected, the significant frequency components are identified and the relevant information is recorded; the signals in different time periods are analyzed in real time to capture the characteristics of the rapid changes of the signal. Practical significance: By integrating the amplitude, phase and transient characteristics into feature vectors, a rich signal representation is established, which is helpful for further analysis and decision support; through feature extraction, the signal characteristics can be reflected, which is especially helpful for the health monitoring and fault warning of catalysts or other process equipment. Advantages over existing technologies: It can integrate amplitude, phase and transient feature data to form a comprehensive feature vector to achieve more detailed analysis, which is not available in many single technical means; it can analyze and process data in real time to meet the needs of current industrial applications, which is different from traditional solutions that cannot adapt to rapidly changing environments.

[0104] In summary, the various modules in the acoustic signal acquisition component of this embodiment can not only effectively improve the quality of the signal and achieve fast and accurate signal conversion and analysis, but its design is also highly adaptable, real-time and multidimensional, making it excellent in monitoring, evaluating and optimizing acoustic characteristics, superior to existing traditional technologies, and able to meet application requirements under more complex working conditions. While improving overall performance, it also provides reliable support for industrial control and intelligent decision-making.

[0105] Embodiment 3:

[0106] like Figure 3 As shown, based on Example 1, the blocking judgment component 2 provided in this embodiment of the present invention includes:

[0107] The threshold setting module is responsible for setting the threshold for judging the degree of blockage of catalyst pores according to historical data, which serves as the standard for judging the blockage of catalyst pores;

[0108] The result comparison module is responsible for obtaining the amplitude, phase and transient characteristics of the target features, comparing the content of the target features with the threshold, and determining whether to start the water mist spraying device according to the comparison results;

[0109] If the blockage level is below the set threshold, the catalyst status will continue to be monitored without cleaning;

[0110] If the degree of blockage exceeds the threshold, the catalyst substrate is deemed to be blocked and a cleaning operation needs to be initiated;

[0111] The parameter acquisition module is responsible for receiving the instruction to start the water mist spraying device, initializing the water mist spraying device, setting the working parameters of the water mist spraying device according to the degree of blockage, and cleaning the salt crystals in the catalyst by spraying water mist with the support of the working parameters.

[0112] In the above embodiment, the threshold setting module of this embodiment sets one or more thresholds according to the historical operation data and the working characteristics of the catalyst, and the threshold will be used to determine the degree of blockage of the catalyst pores; through scientific methods and data-driven decision models, the threshold can be dynamically adjusted to adapt to different operating conditions and the state of the catalyst, including factors such as temperature, humidity and gas composition. Significance: Reasonable threshold setting can improve the accuracy of blockage monitoring and ensure that potential blockage risks can be discovered in time, thereby maintaining the performance of the catalyst. Compared with the prior art, it has higher adaptive capabilities. Through historical data analysis, it can automatically adjust the threshold according to different operating environments, rather than fixed values, which is crucial for optimized monitoring under different operating conditions. The result comparison module obtains the amplitude, phase and transient characteristics of the acoustic characteristics, and compares the data with the threshold to determine whether the water mist spraying device needs to be started; it monitors the blockage state of the catalyst in real time, responds quickly, and makes automatic judgments without manual intervention. Significance: Measures can be taken in time to avoid catalyst damage caused by hysteresis, thereby improving the overall work efficiency and stability of the machine. Compared with traditional manual monitoring or periodic inspection technology, it can achieve real-time data comparison and processing, and respond quickly, thereby effectively reducing the consequences caused by long-term blockage of the catalyst. The parameter acquisition module receives instructions from the result comparison module, initializes the water mist spray device, and sets reasonable working parameters (such as spray intensity and frequency) according to the current degree of blockage to ensure that the water mist spray device operates under appropriate working parameters to achieve the best cleaning effect. Significance: By accurately setting the spray working parameters, not only the utilization efficiency of water resources is improved, but also the impact on the catalyst can be reduced and its service life can be extended. Compared with the existing technology, the intelligent parameter setting method adopted significantly improves the energy efficiency of the cleaning process, and there will be no over-cleaning or under-cleaning.

[0113] In summary, the design of the blockage judgment component 2 of this embodiment not only realizes efficient and accurate catalyst monitoring and cleaning, but also shows obvious advantages over the existing technology in the following aspects: through modular design and intelligent response, it reduces manual intervention and improves the efficiency and reliability of operation; it can acquire and process acoustic signals in real time and respond quickly to avoid potential losses due to time delays; it uses historical data to dynamically adjust thresholds and cleaning parameters to ensure that it can still operate well in a changing environment and improve the overall operation stability; by accurately controlling the working parameters during the water mist spraying process, it realizes the effective use of water resources and reduces the operating cost. The blockage judgment component 2 realizes more efficient, smarter and more economical catalyst monitoring and maintenance, showing significant advantages over traditional technologies, which is of great significance to the long-term stable operation of the RCO exhaust gas treatment system and the optimal performance of the catalyst.

[0114] Embodiment 4:

[0115] On the basis of Example 3, the threshold setting module provided in this embodiment of the present invention includes:

[0116] The data collection submodule is responsible for collecting historical data, including the acoustic characteristics of the amplitude, phase and transient characteristics of the catalyst's acoustic wave characteristics, as well as temperature, pressure, humidity, gas composition, catalyst service life, operation cycle and cleaning frequency, etc.; based on historical data, new features related to the degree of blockage are created, and a feature set of pore blockage rate is generated by combining acoustic signals and environmental factors. Features highly correlated with catalyst blockage are selected to construct a decision tree;

[0117] The node setting submodule is responsible for selecting the amplitude of the catalyst acoustic wave feature to set the root node, setting a dynamic threshold instead of a static one: using the minimum and maximum amplitudes of historical data to determine the dynamic range as a basis for decision-making; setting specific blockage degree judgment criteria for each branch; at the same time, designing personalized logic for each sub-branch; adding a rework branch to each sub-node, detecting that multiple samples are on the boundary of the same threshold in a certain state, and continuing to monitor higher-dimensional features to form further sub-nodes;

[0118] The main branches of the first layer can be: "amplitude change rate" and "transient response time", which are further subdivided into three intermediate states: "mild congestion", "moderate congestion" and "severe congestion" based on these characteristics;

[0119] The model training submodule is responsible for training the decision tree using labeled historical data, traversing the decision tree structure from the root node, using dynamically set thresholds to make real-time decisions, and then outputting states such as normal, slightly blocked, and requiring cleaning, and providing real-time feedback.

[0120] In the above embodiment, the data collection submodule of this embodiment collects various types of data during the operation of the catalyst, covering acoustic wave characteristics (amplitude, phase, transient characteristics) and environmental conditions (temperature, pressure, humidity, gas composition, etc.); through data mining methods, multiple original data features are combined to generate new features related to pore blockage (such as pore blockage rate). Significance achieved: Provide a comprehensive database that is not limited to acoustic signals, but also considers environmental factors to ensure the accuracy and comprehensiveness of the monitoring system; provide a rich feature set for model training, which is conducive to improving the performance of the model. Advantages over existing technologies: Existing technologies often focus on a single feature and lack comprehensive consideration of multi-dimensional environments, while this submodule can achieve comprehensive analysis; through real-time data collection, the feature set can be continuously updated to adapt to the changing climate and catalyst performance. The node setting submodule selects the acoustic wave feature amplitude as the root node, and the dynamic threshold setting is established based on the minimum and maximum amplitudes of historical data; the judgment criteria of each branch are designed according to the noise characteristics and operating status to enhance the flexibility of the model. Significance achieved: The setting of dynamic thresholds ensures that the catalyst status can still be accurately judged when facing new data; the accurate classification of different blockage levels provides support for further decision-making and makes maintenance measures more refined. Advantages over existing technologies: Compared with the static threshold method, the dynamic threshold can be adjusted according to the actual data changes, making the classification more flexible; the personalized logic can adjust the branch judgment according to the real-time data, improving the overall response speed and the accuracy of the decision. The model training submodule uses labeled historical data to train the decision tree to ensure that the model learns the data more deeply; through the decision tree structure, real-time alarms and status judgments are made based on the dynamically set thresholds. Significance achieved: The real-time decision-making capability ensures a rapid response to the catalyst status, reduces downtime, and ensures stable operation of the system; the trained model outputs accurate status, provides data support for on-site operations, and reduces the risk of errors caused by human factors. Advantages over existing technologies: It can timely monitor the cleaning needs of the catalyst and reduce unnecessary maintenance costs; with the introduction of new data, the model can be retrained and optimized to improve the accuracy of the algorithm, and its adaptability is stronger than that of traditional fixed models.

[0121] In summary, the threshold setting module of this embodiment significantly improves the intelligence level of catalyst blockage monitoring. Taking into account multi-dimensional data, dynamic response and personalized design, it shows higher accuracy and flexibility in practical applications, and can achieve instant feedback and continuous optimization. Compared with the existing technology, it has obvious advantages in data integration, real-time monitoring and dynamic adjustment capabilities, and can effectively reduce catalyst maintenance costs and improve operating efficiency.

[0122] Embodiment 5:

[0123] On the basis of Example 3, the result comparison module provided in the embodiment of the present invention includes:

[0124] The determination and detection submodule is responsible for using the data processing engine to filter the amplitude, phase and transient features from the target features; performing multi-level comparison between the standardized target feature data and the dynamically set thresholds, including threshold high and low determination and abnormal behavior detection;

[0125] The score generation submodule is responsible for evaluating the degree of congestion based on the comparison results, if the target feature is detected to exceed the set threshold, and quantifying different congestion states to generate an overall congestion score;

[0126] The suggestion generation submodule is responsible for automatically generating treatment suggestions based on the results of the blockage score generation. Mild blockages continue to be monitored, while severe blockages require starting the cleaning device and adjusting the operating parameters.

[0127] In the above embodiment, the determination and detection submodule of this embodiment uses a data processing engine to extract acoustic amplitude, phase and transient response data from a wide range of target features; through standardization processing, feature data from different sources are made comparable; dynamic threshold setting and multi-level comparison (including high and low threshold determination and abnormal behavior detection) ensure the effective identification of abnormal data fluctuations. Significance achieved: Improve the accuracy and effectiveness of data processing, and lay a solid foundation for subsequent decision-making; realize comprehensive analysis of multiple features, and be able to timely discover potential blockage problems and avoid misjudgment caused by single feature analysis. Advantages over existing technologies: Traditional detection methods usually rely on static thresholds and lack adaptability, while dynamic threshold setting allows the system to automatically adjust according to real-time data changes, significantly improving detection accuracy; introduce abnormal behavior detection mechanism, use machine learning algorithms to identify complex data patterns, improve the ability to detect minor anomalies, and be able to respond to blockage risks more sensitively. The score generation submodule evaluates the degree of blockage based on the comparison results of the determination and detection submodule and quantifies different blockage states; generates an overall blockage score, providing a clear quantitative standard to describe the current blockage level of the catalyst. Significance achieved: The complex blockage status is presented in a simple and easy-to-understand scoring method, which improves the understanding and decision-making efficiency of operators; quantitative evaluation can provide data support for subsequent operations, ensuring that the measures taken are based on actual conditions rather than subjective judgments. Advantages over existing technologies: Traditional methods often only provide binary judgments of "normal" or "abnormal", while the scoring generation module provides multiple levels, detailed descriptions from mild to severe, allowing maintenance personnel to better prioritize various types of blockages; the scoring generation process combines the weighting of multiple features to ensure a more comprehensive discrimination ability, which is more accurate than traditional simple rules. The suggestion generation submodule automatically generates processing suggestions based on the results of the scoring generation, and provides corresponding operation strategies for different degrees of blockage (such as continuing to monitor for mild blockage and starting the cleaning device for severe blockage). Significance achieved: It provides clear operation guidelines, reduces the risk of manual judgment, and ensures that timely and appropriate response measures are implemented; hierarchical management is carried out according to different degrees of blockage, resources are reasonably allocated, and the overall operation efficiency of the system is improved. Advantages over existing technologies: Traditional technologies usually rely on manual decision-making and lack real-time response capabilities; through automated suggestion generation, the response speed and scientific nature of decision-making are significantly improved; compared with a single response measure (such as simple cleaning), the suggestion generation submodule provides a graded response based on scoring, making maintenance strategies more flexible and precise, and can be tailored to different situations.

[0128] In summary, this embodiment forms a responsive, intelligent and automated blockage judgment system through three submodules: judgment detection, score generation and suggestion generation. The collaborative work of each submodule improves the accuracy and efficiency of catalyst blockage detection and maintenance, making the entire system superior to previous technical solutions in data processing and response capabilities. The improvement of comprehensive capabilities will help reduce the risk of equipment failure, improve production efficiency, and ultimately achieve effective cost control.

[0129] Embodiment 6:

[0130] On the basis of Example 3, the parameter acquisition module provided in the embodiment of the present invention includes:

[0131] The mode selection submodule is responsible for self-checking the water mist spray device, automatically reporting and stopping the operation when an abnormality is found, and confirming that the water mist spray device selects any one or two of the adaptive hybrid mode, segmented reinforcement mode, tactical alternation mode and cross-dimensional coordination mode according to the degree of blockage;

[0132] Among them, the following is an example of adaptive mixing mode:

[0133] Monitoring phase (0-5 minutes): the initial spray intensity is set to 30%-50%, the frequency is set to once every 5 minutes, and the duration is 5 minutes to evaluate the blockage;

[0134] Adjustment stage (5-10 minutes): Based on monitoring feedback, if the blockage is not resolved, the intensity (can be increased to 60%-80%) and frequency (increased to once every 3 minutes) are automatically adjusted, and the spraying is continued for up to 10 minutes;

[0135] Cleaning stage (after 10 minutes): If the blockage is relieved, maintain the current intensity; if there is no obvious improvement, switch to severe blockage mode;

[0136] Segmented reinforcement mode:

[0137] Mild clogging stage: spray intensity 30%, spray once every 5 minutes, lasting 5 minutes; evaluate the initial cleaning effect through mild spraying;

[0138] Moderate blockage stage: If no improvement is seen, increase the spray intensity to 50-70%, increase the duration to 10 minutes, and adjust the frequency to once every 3 minutes;

[0139] Severe blockage stage: If there is still no obvious change in the moderate stage, switch the spray intensity to 70-100%, increase the spray frequency to every 1 minute, and extend the spray time to more than 15 minutes;

[0140] Tactical Alternation Mode:

[0141] Alternating dry-wet spraying: In case of slight blockage, dry spraying (a small amount of water mist) is performed to manually remove particles for 5 minutes; followed by wet spraying (normal spray) for 5 minutes;

[0142] Alternate cleaning and cooling: In the severe blockage stage, after every 10 minutes of spraying, enter a 2-minute cooling period (light spraying) to monitor the catalyst status in real time to prevent thermal damage caused by excessive cleaning;

[0143] Feedback iteration: Use historical data to optimize spray time and intensity, adjust strategies through data analysis, and achieve closed-loop control of "spray-monitor-adjust";

[0144] Cross-dimensional coordination mode:

[0145] Environmentally sensitive adjustments: In environments with high humidity, reduce the spray intensity (25%) and increase the spray time (10 minutes each time) to avoid the adverse effects caused by excessive humidity;

[0146] Temperature preheating spray: When the ambient temperature is low, a short preheating phase (such as 2-3 minutes) is performed before spraying to increase the spray temperature of the water mist and enhance the cleaning ability of the water mist, and then full-intensity spraying is performed;

[0147] The mode execution submodule is responsible for starting the water mist spraying device, spraying in real time to clean the salt crystals in the catalyst according to the working parameters corresponding to the adaptive mixing mode, segmented reinforcement mode, tactical alternation mode and cross-dimensional coordination mode;

[0148] The angle adjustment submodule is responsible for monitoring key parameters of the catalyst, such as temperature, pressure and flow rate, and evaluating the spraying effect. Based on the evaluation results, the nozzle of the water mist spraying device is adjusted at multiple angles to clean blockages at different locations.

[0149] In the above embodiment, the parameter acquisition module of this embodiment performs regular self-inspection on the water mist spraying device to ensure the safety and effectiveness of the equipment before operation; it can automatically report faults or abnormalities according to the self-inspection results, and immediately stop the operation when a problem is found to prevent equipment damage or safety accidents; according to the real-time monitoring of the degree of blockage, intelligently select the appropriate working mode to optimize the cleaning effect. Realization significance: reduce human intervention, improve the system's autonomous operation ability, and realize intelligent management and fault response in complex environments; by dynamically selecting the working mode, it can be adaptively adjusted under different blockage conditions, thereby improving the cleaning efficiency. Advantages over existing technologies: compared with traditional manual settings or simple timed spray systems, it has real-time monitoring and self-judgment capabilities, significantly improving autonomy and flexibility; it has fault self-inspection and emergency handling functions, which improves safety and reduces the risk of loss caused by equipment failure. The adaptive hybrid mode realizes gradual evaluation and dynamic optimization through staged spray adjustment; according to the initial monitoring feedback, the spray intensity and frequency are automatically adjusted to flexibly respond to different degrees of blockage. Realization significance: timely detection and response to different blockage conditions, effectively avoiding potential damage caused by excessive cleaning; as a preliminary cleaning strategy, a comprehensive evaluation is carried out to maximize the cleaning effect. Advantages over existing technologies: Compared with systems with fixed spray parameters, the adaptive hybrid mode can adjust the spray parameters according to actual conditions and reduce resource waste; it provides a real-time feedback mechanism, making the adjustment process more scientific and efficient, ensuring dynamic optimization of the cleaning process. The segmented enhancement mode can effectively clean at different stages of blockage by gradually increasing the spray intensity and time. Significance of implementation: It effectively manages the blockage that changes over time, ensuring that the treatment at each stage is highly targeted and effective; it reduces unnecessary consumption of spray resources and optimizes the cleaning process. Advantages over existing technologies: Compared with ordinary single spray modes, the segmented enhancement mode has higher flexibility and adaptability, and can cope with complex and highly dynamic cleaning needs; through segmented treatment, it reduces potential damage to the catalyst and ensures its long-term effective use. In the tactical alternation mode, dry spray and wet spray are used for cleaning in alternating conditions when there is mild blockage; in the severe blockage stage, a cleaning and cooling alternating mode is implemented to avoid catalyst damage caused by overheating. Significance of implementation: It integrates different spray strategies to achieve dual effects from physical removal to chemical cleaning, increasing the efficiency of cleaning; the cooling design can effectively reduce the risk of thermal damage to equipment and catalysts and extend the service life of catalysts. Advantages over existing technologies: - Compared with the traditional single spray mode, the tactical alternation mode can comprehensively utilize different cleaning strategies to improve cleaning efficiency and safety; it improves the adaptability to specific blockage problems, making the cleaning process more intelligent and personalized. The cross-dimensional coordination mode optimizes the spray strategy through environmental sensitive adjustments (humidity, temperature) to ensure the effectiveness and safety of the cleaning process.Significance of implementation: Optimize spray parameters in a targeted manner to avoid the reduction of cleaning effect due to environmental changes; implement temperature preheating spray strategy to further enhance cleaning ability. Advantages over existing technologies: It has environmental adaptive capabilities and can respond to complex environmental changes in real time. Compared with static operation mode, it provides higher flexibility and effectiveness; by combining environmental factors, it significantly improves the cleaning effect and reduces potential negative effects. The mode execution submodule accurately starts the water mist spray device according to the selected mode, and sprays in real time according to the parameters to clean the salt crystals in the catalyst. Significance of implementation: Ensure that all cleaning stages can be strictly and accurately executed, and the consistency and accuracy of the operation are guaranteed. Advantages over existing technologies: Reduce errors caused by human intervention, make the cleaning process more automated, and improve the systematic operation efficiency. The angle adjustment submodule monitors the catalyst's temperature, pressure, flow rate and other parameters in real time, and dynamically adjusts the nozzle angle according to the evaluation results. Significance of implementation: Through multi-angle spraying, it ensures that the cleaning process has a wider coverage and higher efficiency, and can effectively target the blockage at a specific location. Advantages over existing technologies: Compared with the system with a fixed nozzle angle, it has better adaptability, can cope with different blockage situations, and optimize the overall cleaning effect.

[0150] In summary, this embodiment achieves high efficiency, precision and adjustability of catalyst cleaning, thereby reducing operating costs and equipment risks, and improving the cleaning effect and safety. Compared with the existing technology, it shows the advantages of greater intelligence and autonomy, and can significantly improve the overall cleaning management level.

[0151] Embodiment 7:

[0152] On the basis of Example 6, the mode selection submodule provided in this embodiment of the present invention includes:

[0153] The initial mode starting unit is responsible for starting the adaptive mixing mode and spraying water mist according to the working parameters set in the adaptive mixing mode; obtaining the flow rate and pressure in the adaptive mixing mode;

[0154] Among them, the flow rate affects the transmission speed of the catalyst reactants and the efficiency of the catalytic reaction; in the catalytic process or fluid transmission, the change of pressure can affect the flow characteristics of the fluid;

[0155] The first mode switching unit is responsible for adjusting the adaptive hybrid mode to the segmented enhanced mode when the flow rate drops to a certain ratio; when the flow rate in the segmented enhanced mode drops to a certain ratio, the humidity exceeds the safety threshold, and the particle concentration increases, it switches to the tactical alternating mode;

[0156] The second mode switching unit is responsible for restoring the flow rate in the tactical alternation mode to the initial standard upper limit, the pressure to the normal range, the humidity to the safe range, automatically adjusting the mode back to the adaptive mixed mode, resuming the monitoring cycle, and continuing to monitor to observe whether there is any circuit blockage.

[0157] Among them, the operation steps of the mode selection submodule are as follows:

[0158] If the flow and pressure data show that they have returned to normal and the humidity conditions are met, the switch is made.

[0159] The automatic adjustment mode returns to the adaptive hybrid mode and resumes the normal monitoring cycle (for example, collecting data every 5 minutes); the flow Q continues to drop by more than 25% ( ); humidity H rises beyond the safety threshold (H>80%); particle concentration increases (such as exceeding the set value, such as 100 mg / m³); continuous monitoring time exceeds 10 minutes;

[0160] Operation steps: Immediately switch to the tactical alternation mode and perform dry spraying and wet spraying alternately;

[0161] From Adaptive Mixed Mode (AMM) to Segmented Enhanced Mode (SEM);

[0162] Switching condition: flow rate Q drops by more than 10% ( ), the pressure P is maintained in the normal range ( ); continuous monitoring time exceeds 5 minutes;

[0163] Operation steps: record the current flow rate, pressure, humidity and particle concentration; start to increase the spraying intensity to 60%-80% and increase the spraying frequency (such as spraying once every 3 minutes); continue to monitor status changes, especially the recovery of flow rate and pressure.

[0164] Switching from SEM to TAM: Traffic Q continues to drop by more than 25% ( ), humidity H rises beyond the safety threshold (H>80%); particle concentration increases (such as exceeding the set value, such as 100 mg / m³); continuous monitoring time exceeds 10 minutes;

[0165] Operation steps: Immediately switch to the tactical alternation mode and perform alternating dry spraying and wet spraying operations; Dry spraying stage: Dry spraying is performed at intervals of 1 minute to quickly remove surface particles to reduce fluid resistance; Wet spraying stage: Normal spraying is performed for 2 minutes to clean residual dirt; During the alternation process, monitor the flow, pressure, humidity and temperature to ensure that the safety limits of the equipment are not exceeded; Record the working parameters for subsequent analysis and optimization.

[0166] Switching from TAM to AMM: Traffic Q returns to the initial upper limit ( ), the pressure P returns to the normal range ( ), humidity H drops back to a safe range (H<70%); Operation steps: If the flow and pressure data show that they have returned to normal and meet the humidity conditions, switch; automatically adjust the mode back to the adaptive mixed mode and resume the normal monitoring cycle (for example, collect data every 5 minutes); continue monitoring to observe whether there is any circuit blockage.

[0167] Dynamic monitoring of cross-dimensional coordination mode (CDCM), enabling conditions: It can be enabled at any time in adaptive hybrid mode, segmented enhancement mode or tactical alternating mode. It can be switched automatically when real-time evaluation of multi-dimensional parameters (flow, pressure, humidity, particle concentration, etc.) is performed. Operation steps: Combine statistical analysis of multiple dimensions to calculate a comprehensive index (such as comprehensive congestion index) as the basis for switching; based on comprehensive data judgment, if a certain dimension (such as particle concentration) increases abnormally, it may be directly recommended to switch to segmented enhancement mode; record and learn the data of this switch to optimize future judgments and switching strategies.

[0168] In the above embodiment, the initial mode start unit of this embodiment starts the adaptive hybrid mode to ensure that the system sprays water mist with the set working parameters in the initial state; in the adaptive hybrid mode, the changes in flow and pressure are continuously monitored, which helps to evaluate the state of the catalytic reaction in real time. Significance: By starting the adaptive hybrid mode, it is ensured that the system starts working under a more efficient storage operation state and provides stable reaction conditions; the real-time monitored flow and pressure data provide a basis for subsequent mode switching. Once the flow or pressure exceeds the set threshold, the system can respond quickly and switch the mode accordingly. The first mode switching unit switches from the adaptive hybrid mode to the segmented enhancement mode according to the change in the flow rate reduction ratio. When the flow rate in the segmented enhancement mode drops to a certain ratio, the humidity exceeds the safety threshold and the particulate matter concentration increases, it switches to the tactical alternation mode. Significance: By monitoring the reaction state, different working modes can be quickly switched to cope with dynamic environmental changes, effectively improving the pertinence and response speed of the system; by timely adjusting the working mode, the risk of reduced catalyst reaction efficiency is avoided, while ensuring the safety of the equipment and extending the service life of the equipment. The second mode switching unit monitors the recovery of flow, pressure and humidity in the tactical alternation mode. Once the initial standard is reached, the mode is automatically adjusted back to the adaptive hybrid mode. After returning to the adaptive hybrid mode, the monitoring cycle is restarted to continuously observe the system status. Significance: After the problem is alleviated, it quickly returns to the normal operation mode, thereby maintaining the optimal performance of the catalyst while ensuring the cleaning efficiency; by observing the monitoring data, potential blockage problems can be discovered in time and intervention can be made to strengthen the system's operating status and processing capabilities.

[0169] In summary, the mode selection submodule of this embodiment realizes efficient dynamic management and responds to various working states in real time. It not only improves the operating efficiency of the entire catalyst system, but also enhances its adaptability and stability in complex environments; the ultimate goal is to ensure the stability, efficiency and sustainable development of the system by continuously optimizing the operating mode.

[0170] Embodiment 8:

[0171] On the basis of Example 6, the angle adjustment submodule provided in the embodiment of the present invention includes:

[0172] The interactive adjustment unit is responsible for defining the parameter variables of the nozzle angle adjustment, and adjusting the nonlinear response relationship of the nozzle and the interaction between various parameters through the polynomial model function form;

[0173] Among them, the parameter variables are: T represents the temperature of the catalyst (in °C), P Indicates the pressure of the catalyst (in Pa), D Indicates the flow rate of the catalyst (in m³ / s),C Indicates the concentration of particulate matter (in mg / m³), t Indicates time (unit: s), used to monitor parameters that change over time;

[0174] The polynomial model represents:

[0175]

[0176] In the formula, to It represents the regression coefficient obtained through regression analysis, which indicates the influence of each factor on the cleaning effect;

[0177] Angle adaptation unit, responsible for adapting the nozzle adjustment angle to the spray flow rate and flow pattern through a composite function, while taking into account the final contact height between the spray and the catalyst;

[0178] The expression of the composite function is:

[0179]

[0180] In the formula, K represents a constant that describes the characteristics of the nozzle design, Adjustment angle of the nozzle, and It represents the adjustment coefficient, which is used to describe the influence of temperature and pressure;

[0181] The expression of the final contact height H between the spray and the catalyst is:

[0182]

[0183] Where R is the additional height gain of the spray (depending on flow rate and particle exposure), D is the distance between the nozzle and the catalyst, and H is the contact height. represents a constant describing the sensitivity of cleaning effect;

[0184] The feedback adjustment unit is responsible for making real-time adjustments based on dynamic feedback through the feedback adjustment function, and continuously optimizing the spraying effect of the nozzle through an iterative update process;

[0185] Feedback adjustment function expression:

[0186]

[0187] In the formula, Indicates the angle adjustment amount for the next step, and represents the adjustment coefficient, reflecting the system's sensitivity to historical effects and target effects. Represents the cleaning effect data of the previous time step, Indicates the preset cleaning effect target;

[0188] Optimize the nozzle spray effect expression:

[0189]

[0190] At the same time, record the state representation of each time step:

[0191]

[0192] In the formula, Represents a collection of states at each step, which is used for subsequent data analysis and model optimization.

[0193] In the above embodiment, the interactive adjustment unit of this embodiment uses a polynomial model function to capture the nonlinear relationship and interactive influence between multiple parameters such as catalyst temperature (T), pressure (P), flow rate (D), particle concentration (C) and time (t); it can reflect the response of the cleaning effect (E) to the change of each parameter, making the adjustment process more accurate. By establishing a complex nonlinear equation model, the relative contribution of different factors to the cleaning effect can be comprehensively evaluated, so that the cleaning strategy is more scientific and reasonable. This polynomial model can help optimize the spray parameters and greatly improve the efficiency and effect of spray cleaning. The angle adaptation unit calculates the adjustment angle (θ) of the nozzle through a composite function, combining the cleaning effect (E) with the operating conditions of the catalyst (temperature, pressure, flow rate); ensuring the best adaptation between the nozzle angle and the spray flow rate and flow state. The angle adjustment of the nozzle directly affects the coverage effect of the spray and the uniformity of cleaning; through intelligent angle adjustment, it is ensured that the spray can effectively reach various positions of the catalyst, improve the cleaning effect for different boundary conditions, and avoid uneven cleaning or failure due to improper nozzle angle. The expression of the spray height adaptation spray and catalyst contact height (H) takes into account the actual distance from the nozzle to the catalyst and the optimization of the spray effect under different working conditions, and can dynamically adjust the spray release height, thereby improving the contact efficiency between the spray and the catalyst. By dynamically adjusting the contact height, the coverage area and cleaning depth of the spray can be effectively improved, ensuring that the ideal cleaning effect can be achieved under different working conditions, and reducing the risk of incomplete cleaning or material damage caused by improper spray height. The feedback adjustment unit enables the system to have the ability to dynamically adjust by real-time monitoring and feedback of the cleaning effect, and uses the feedback adjustment function to optimize the nozzle angle in a targeted manner, and responds in real time and makes corresponding adjustments under different cleaning conditions. The dynamic real-time feedback mechanism enables the system to continuously adapt to the environment and catalyst status during operation, and achieve the optimal cleaning effect through timely adjustment; the adaptive characteristics enhance the intelligence of the system, so that the equipment maintains high performance under variable working conditions. The recording state unit can continuously track the operating parameters and effect data of each time step through the collection, including time, temperature, pressure, flow rate, particle concentration and nozzle angle information, providing a basis for subsequent data analysis and model optimization. Real-time recording and analysis of operating status enables data-driven decision making. Through analysis of historical data, it promotes intelligent learning and optimization of the system, helps formulate and adjust future spray cleaning strategies, and thus achieves more efficient long-term operation.

[0194] In summary, the angle adjustment submodule of this embodiment realizes a dynamic and adaptive spray cleaning system, optimizes the cleaning effect, provides higher flexibility and efficiency, significantly improves the catalyst cleaning effect, reduces energy consumption and resource waste, and optimizes the operating efficiency and economic benefits of the entire water mist spraying device.

[0195] Embodiment 9:

[0196] like Figure 4 As shown, based on Example 1, the residual crystal detection component 3 provided in the embodiment of the present invention comprises:

[0197] A decision generation module, which is responsible for the blockage judgment component to determine that the blockage degree of the catalyst pores is lower than the threshold value, and the blockage judgment component generates an instruction to close the water mist spraying device, and the closing instruction is quickly transmitted to the control unit of the water mist spraying device;

[0198] The operation execution module is responsible for receiving the shutdown instruction, and the water mist spraying device will execute the shutdown operation, cut off the water supply, and automatically close the nozzle;

[0199] The re-detection module is responsible for re-determining the blockage degree of the catalyst and repeating the cleaning procedure when it is detected that the blockage exceeds the threshold again.

[0200] In the above embodiment, the decision generation module of this embodiment receives information from the blockage judgment component, that is, the instruction that the blockage degree of the catalyst pores is lower than the preset threshold; based on the received information, a specific instruction to close the water mist spraying device is generated, and the instruction is quickly transmitted to the control unit of the water mist spraying device. Ensure that a quick response can be made when the pore state of the catalyst improves, prevent unnecessary water mist spraying operations, save water resources, and reduce energy consumption; through the combination of automatic decision-making and execution, the reaction speed is accelerated, the degree of automation of the operation is improved, and the operation of the equipment is more intelligent and efficient. After the operation execution module receives the shutdown instruction issued by the decision generation module, the water mist spraying device can quickly perform related operations, including cutting off the water supply source and automatically closing the nozzle; by stopping the water mist output, the catalyst and equipment are protected to avoid the potential impact of excessive cleaning on the performance of the catalyst. By stopping the spraying in time, the stability of the internal environment is maintained to ensure that the catalyst can operate in the best state; avoid damage to the catalyst due to excessive cleaning or residual moisture, thereby extending the service life of the catalyst and the overall reliability. The re-detection module continuously monitors the acoustic signals inside the catalyst to re-judge the degree of blockage of the catalyst; once the blockage is detected to exceed the preset threshold again, it can quickly issue a command to restart the injection operation even after the injection system is shut down. Through real-time monitoring and judgment, the system can flexibly adjust the operation strategy when the working state of the catalyst changes to avoid blockage from causing serious impact on the overall system performance; through dynamic adjustment of the cleaning program, the effective cleaning of the catalyst is ensured, thereby maintaining the exhaust gas treatment efficiency and the long-term stability of the system operation.

[0201] In summary, this embodiment achieves effective management and control of the catalyst pore blockage problem. The decision generation module responds in a timely manner and enhances the automation of the system through rapid instruction transmission; the operation execution module ensures stability and equipment safety; and the re-detection module provides continuous monitoring capabilities to ensure that the system has flexible response capabilities in a dynamically changing working environment. Overall, they jointly promote the efficient, intelligent and sustainable operation of the RCO exhaust gas treatment system.

[0202] Embodiment 10:

[0203] like Figure 5 As shown, based on Examples 1 to 9, the RCO waste gas treatment method provided in the embodiments of the present invention comprises the following steps:

[0204] Step S100: Arranging an acoustic sensor in the regeneration catalytic oxidation box toward the catalyst in the catalytic combustion chamber, monitoring the acoustic signal inside the catalyst in real time and preprocessing it; transmitting the target features of the preprocessed acoustic signal to the blockage judgment component;

[0205] Step S200: receiving the target features after preprocessing, and analyzing the blockage degree of the catalyst pores through the changes in the target features; if the blockage degree of the catalyst pores exceeds a preset threshold, starting the water mist spraying device to clean the salt crystals in the catalyst;

[0206] Step S300: continue to monitor the acoustic signals inside the catalyst in real time through the acoustic sensor; when it is detected that the blockage degree of the catalyst pores is lower than the preset threshold, turn off the water mist spraying device; at the same time, the acoustic sensor continues to monitor the inside of the catalyst.

[0207] In the above embodiment, in step S100 of this embodiment, acoustic sensor layout and signal preprocessing are performed. Acoustic sensors are arranged in the regeneration catalytic oxidation box to collect acoustic signals inside the catalyst in real time to reflect the working state and pore conditions of the catalyst; the collected acoustic signals are preprocessed, such as noise filtering, signal enhancement, etc., in order to extract target features; time domain analysis, frequency domain conversion and other technologies may be included to enhance the clarity and effectiveness of the signal. The processed target features are effectively transmitted to the blockage judgment component to ensure that the subsequent steps can obtain an accurate data basis. Real-time monitoring of the internal state of the catalyst provides data support for subsequent analysis and helps to identify the blockage of the catalyst; the effectiveness of the preprocessing directly determines the accuracy of the subsequent blockage judgment, ensuring that the system can respond quickly to potential problems, thereby reducing the risk of catalyst failure. Step S200 Blockage judgment and water mist spraying start, receiving the preprocessed target features, and judging the degree of blockage of the catalyst pores by analyzing the changing trends of these features; using algorithm models, such as threshold models, machine learning classifiers, etc., to determine the blockage. Once it is detected that the degree of blockage exceeds the preset threshold, the system immediately issues a command to start the water mist spraying device to release water mist to clean the salt crystals in the catalyst. Accurate blockage judgment can ensure that the system takes cleaning measures at the appropriate time to reduce the risk of pollutants accumulating in the catalyst; timely start the cleaning procedure to effectively prevent the degradation of catalyst performance, thereby extending the working life of the catalyst and ensuring the continued effectiveness of exhaust gas treatment. Step S300 real-time monitoring and spraying system shutdown, while water mist spraying, the acoustic sensor continues to monitor the acoustic signals inside the catalyst in real time and analyze the cleaning effect; when the degree of blockage of the catalyst pores is detected to be lower than the preset threshold, an instruction to close the water mist spraying device is issued. Real-time continuous monitoring can accurately determine the effectiveness of the cleaning process and ensure that the catalyst operates in the best condition; timely closing of the water mist spraying device can prevent catalyst damage caused by excessive cleaning and ensure the stability and reliability of catalyst performance.

[0208] In summary, this embodiment can effectively maintain the performance and efficiency of the catalyst through accurate acoustic signal monitoring and processing, real-time blockage judgment and effective cleaning measures. Each technical step directly improves the intelligence, automation and response speed of the system, thereby ensuring the efficiency and sustainability of the exhaust gas treatment process.

[0209] Figure 6 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present invention is shown.

[0210] The electronic device may include a central processing unit / microprocessor / main control chip, etc. 4; a storage medium 5, coupled to the central processing unit / microprocessor / main control chip, etc. 4, and storing computer executable instructions therein, for performing the steps of each method of an embodiment of the present invention when executed by the processor.

[0211] The central processing unit / microprocessor / main control chip 4 may include but is not limited to, for example, one or more processors or microprocessors.

[0212] The storage medium 5 may include, but is not limited to, for example, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, computer storage media (such as hard disk, floppy disk, solid state drive, removable disk, CD-ROM, DVD-ROM, Blu-ray disc, etc.).

[0213] In addition, the electronic device may also include (but not limited to) a data bus 6, an input / output bus / external bus / device bus 7, a display 8, and input / output devices 9 (eg, keyboard, mouse, speaker, etc.).

[0214] The central processing unit / microprocessor / main control chip etc. 4 can communicate with external devices ( 8 , 9 etc.) through the I / O bus 7 via a wired or wireless network (not shown).

[0215] The storage medium 5 may also store at least one computer executable instruction for executing the various functions and / or method steps in the embodiments described in the present technology when executed by the central processing unit / microprocessor / main control chip 4.

[0216] In one embodiment, the at least one computer executable instruction may also be compiled into or constitute a software product, wherein one or more computer executable instructions are executed by a processor to perform the various functions and / or method steps in the embodiments described in the present technology.

[0217] Figure 7 A schematic diagram of a computer-readable storage medium according to an embodiment of the present invention is shown.

[0218] like Figure 7 As shown, instructions are stored on a non-transitory computer-readable storage medium 11, and the instructions are, for example, computer-readable instructions 10. When the computer-readable instructions 10 are executed by the processor, the various methods described above can be executed. Non-transitory computer-readable storage media include, but are not limited to, for example, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. Non-transitory non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. For example, the non-transitory computer-readable storage medium 11 can be connected to a computing device such as a computer, and then, when the computing device runs the computer-readable instructions 10 stored on the computer-readable storage medium 11, the various methods described above can be performed.

[0219] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0220] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0221] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0222] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for executing all or part of the steps of the various embodiments of the present invention through a computer device (which can be a personal computer, server, or network device, etc.). The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (full name in English: Read-Only Memory, English abbreviation: ROM), random access memory (full name in English: Random Access Memory, English abbreviation: RAM), disk or optical disk, etc. Various media that can store program codes.

[0223] 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 thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A RCO waste gas treatment system, characterized in that: Contains the following components: The acoustic signal acquisition component is responsible for placing an acoustic sensor in the regeneration catalytic oxidation box toward the catalyst in the catalytic combustion chamber, monitoring the acoustic signal inside the catalyst in real time and performing preprocessing; transmitting the target features of the preprocessed acoustic signal to the blockage judgment component; The blockage judgment component is responsible for receiving the target features after preprocessing and analyzing the blockage degree of the catalyst pores through the changes in the target features; If the degree of catalyst pore blockage exceeds the preset threshold, the water mist spraying device is activated to clean the salt crystals in the catalyst; The residual crystal detection component is responsible for continuing to monitor the acoustic signals inside the catalyst in real time through the acoustic sensor; when it is detected that the blockage degree of the catalyst pores is lower than the preset threshold, the water mist spraying device is turned off; at the same time, the acoustic sensor continues to monitor the inside of the catalyst; Acoustic signal acquisition components, including: The signal preprocessing module is responsible for denoising the acoustic signal by using low-pass filtering, high-pass filtering or adaptive filtering, multiplying the acoustic signal by the Hanning window to retain the main components of the acoustic signal; calculating the maximum and minimum values ​​of the acoustic signal, and adjusting the amplitude of the acoustic signal to the range of 0-1; The signal conversion module is responsible for segmenting the pre-processed sound wave signal, setting the length of each sound wave signal segment, and capturing the changes of the sound wave signal; for each sound wave signal segment, the time domain signal is converted into a frequency domain signal to obtain the frequency spectrum of each sound wave signal segment; each point of the frequency spectrum corresponds to the amplitude and phase of the sound wave signal at the set frequency, forming a complex array; The spectrum feature extraction module is responsible for extracting the amplitude and phase of each frequency component in the complex array, recording the characteristics of high and low frequencies, and analyzing the characteristic frequency changes of harmonic frequencies; screening the peaks in the spectrum and identifying the significant frequency components; for each significant frequency component, recording its corresponding amplitude; analyzing the transient characteristics of the signal in real time at different time periods in the complex array; integrating the amplitude, phase and transient characteristics into a feature vector; The congestion judgment component includes: The threshold setting module is responsible for setting the threshold for judging the degree of blockage of catalyst pores according to historical data, which serves as the standard for judging the blockage of catalyst pores; The result comparison module is responsible for obtaining the amplitude, phase and transient characteristics of the target features, comparing the content of the target features with the threshold, and determining whether to start the water mist spraying device according to the comparison results; If the blockage level is below the set threshold, the catalyst status will continue to be monitored without cleaning; If the degree of blockage exceeds the threshold, the catalyst substrate is deemed to be blocked and a cleaning operation needs to be initiated; The parameter acquisition module is responsible for receiving the instruction to start the water mist spraying device, initializing the water mist spraying device, setting the working parameters of the water mist spraying device according to the degree of blockage, and cleaning the salt crystals in the catalyst by spraying water mist under the support of the working parameters; Threshold setting module, including: The data collection submodule is responsible for collecting historical data, including the acoustic characteristics of the amplitude, phase and transient characteristics of the catalyst's acoustic wave characteristics, as well as temperature, pressure, humidity, gas composition, catalyst service life, operation cycle and cleaning frequency; creating new features related to the degree of blockage based on historical data, combining acoustic signals with environmental factors to generate a feature set of pore blockage rate, and selecting features that are highly correlated with catalyst blockage to construct a decision tree; The node setting submodule is responsible for selecting the amplitude of the catalyst acoustic wave feature to set the root node, setting a dynamic threshold instead of a static one: using the minimum and maximum amplitudes of historical data to determine the dynamic range as a basis for decision-making; setting specific blockage degree judgment criteria for each branch; at the same time, designing personalized logic for each sub-branch; adding a rework branch to each sub-node, detecting that multiple samples are on the boundary of the same threshold in a certain state, and continuing to monitor higher-dimensional features to form further sub-nodes; The model training submodule is responsible for training the decision tree using labeled historical data, traversing the decision tree structure from the root node, using dynamically set thresholds to make real-time decisions, and then outputting normal, slightly blocked, or cleaning status, and providing real-time feedback.

2. The RCO exhaust gas treatment system according to claim 1, characterized in that: The result comparison module includes: The determination and detection submodule is responsible for using the data processing engine to filter the amplitude, phase and transient features from the target features; performing multi-level comparison between the standardized target feature data and the dynamically set thresholds, including threshold high and low determination and abnormal behavior detection; The score generation submodule is responsible for evaluating the degree of congestion based on the comparison results, if the target feature is detected to exceed the set threshold, and quantifying different congestion states to generate an overall congestion score; The suggestion generation submodule is responsible for automatically generating treatment suggestions based on the results of the blockage score generation. Mild blockages continue to be monitored, while severe blockages require starting the cleaning device and adjusting the operating parameters.

3. The RCO exhaust gas treatment system according to claim 1, characterized in that: Parameter acquisition module, including: The mode selection submodule is responsible for self-checking the water mist spray device, automatically reporting and stopping the operation when an abnormality is found, and confirming that the water mist spray device selects any one or two of the adaptive hybrid mode, segmented reinforcement mode, tactical alternation mode and cross-dimensional coordination mode according to the degree of blockage; The mode execution submodule is responsible for starting the water mist spraying device, spraying in real time to clean the salt crystals in the catalyst according to the working parameters corresponding to the adaptive mixing mode, segmented reinforcement mode, tactical alternation mode and cross-dimensional coordination mode; The angle adjustment submodule is responsible for monitoring the key parameters of the catalyst, such as temperature, pressure and flow rate, and evaluating the spraying effect. Based on the evaluation results, the nozzle of the water mist spraying device is adjusted at multiple angles to clean the blockages at different locations.

4. The RCO exhaust gas treatment system according to claim 3, characterized in that: Mode selection submodule, including: The initial mode starting unit is responsible for starting the adaptive mixing mode and spraying water mist according to the working parameters set in the adaptive mixing mode; obtaining the flow rate and pressure in the adaptive mixing mode; Among them, the flow rate affects the transmission speed of the catalyst reactants and the efficiency of the catalytic reaction; in the catalytic process or fluid transmission, the change of pressure can affect the flow characteristics of the fluid; The first mode switching unit is responsible for adjusting the adaptive hybrid mode to the segmented enhanced mode when the flow rate drops to a certain ratio; when the flow rate in the segmented enhanced mode drops to a certain ratio, the humidity exceeds the safety threshold, and the particle concentration increases, it switches to the tactical alternating mode; The second mode switching unit is responsible for restoring the flow rate in the tactical alternation mode to the initial standard upper limit, the pressure to the normal range, the humidity to the safe range, automatically adjusting the mode back to the adaptive mixed mode, resuming the monitoring cycle, and continuing to monitor to observe whether there is any circuit blockage.

5. The RCO exhaust gas treatment system according to claim 3, characterized in that: Angle adjustment submodule, including: The interactive adjustment unit is responsible for defining the parameter variables of the nozzle angle adjustment, and adjusting the nonlinear response relationship of the nozzle and the interaction between various parameters through the polynomial model function form; Angle adaptation unit, responsible for adapting the nozzle adjustment angle to the spray flow rate and flow pattern through a composite function, while taking into account the final contact height between the spray and the catalyst; The feedback adjustment unit is responsible for making real-time adjustments based on dynamic feedback through a feedback adjustment function, and continuously optimizing the spray effect of the nozzle through an iterative update process.

6. The RCO exhaust gas treatment system according to claim 1, characterized in that: Residual crystal detection kit, including: A decision generation module, which is responsible for the blockage judgment component to determine that the blockage degree of the catalyst pores is lower than the threshold value, and the blockage judgment component generates an instruction to close the water mist spraying device, and the closing instruction is quickly transmitted to the control unit of the water mist spraying device; The operation execution module is responsible for receiving the shutdown instruction, and the water mist spraying device will execute the shutdown operation, cut off the water supply, and automatically close the nozzle; The re-detection module is responsible for re-determining the blockage degree of the catalyst and repeating the cleaning procedure when it is detected that the blockage exceeds the threshold again.

7. A RCO waste gas treatment method, used to implement the RCO waste gas treatment system according to any one of claims 1 to 6, characterized in that: The following steps are involved: An acoustic sensor is arranged in the regeneration catalytic oxidation box toward the catalyst in the catalytic combustion chamber to monitor the acoustic signal inside the catalyst in real time and perform preprocessing; the target features of the preprocessed acoustic signal are transmitted to the blockage judgment component; receiving the target features after pretreatment, and analyzing the blocking degree of the catalyst pores through the changes of the target features; If the degree of catalyst pore blockage exceeds the preset threshold, the water mist spraying device is activated to clean the salt crystals in the catalyst; The acoustic sensor continues to monitor the acoustic signals inside the catalyst in real time; when it is detected that the blockage degree of the catalyst pores is lower than the preset threshold, the water mist spraying device is turned off; at the same time, the acoustic sensor continues to monitor the inside of the catalyst; The process of real-time monitoring of acoustic signals inside the catalyst and pre-processing includes: The signal preprocessing module is responsible for denoising the acoustic signal by using low-pass filtering, high-pass filtering or adaptive filtering, multiplying the acoustic signal by the Hanning window to retain the main components of the acoustic signal; calculating the maximum and minimum values ​​of the acoustic signal, and adjusting the amplitude of the acoustic signal to the range of 0-1; The signal conversion module is responsible for segmenting the pre-processed sound wave signal, setting the length of each sound wave signal segment, and capturing the changes of the sound wave signal; for each sound wave signal segment, the time domain signal is converted into a frequency domain signal to obtain the frequency spectrum of each sound wave signal segment; each point of the frequency spectrum corresponds to the amplitude and phase of the sound wave signal at the set frequency, forming a complex array; The spectrum feature extraction module is responsible for extracting the amplitude and phase of each frequency component in the complex array, recording the characteristics of high and low frequencies, and analyzing the characteristic frequency changes of harmonic frequencies; screening the peaks in the spectrum and identifying the significant frequency components; for each significant frequency component, recording its corresponding amplitude; analyzing the transient characteristics of the signal in real time at different time periods in the complex array; integrating the amplitude, phase and transient characteristics into a feature vector; The process of analyzing the blockage degree of catalyst pores through changes in target characteristics includes: The threshold setting module sets a threshold for judging the degree of blockage of catalyst pores according to historical data, which serves as a standard for judging the blockage of catalyst pores; The result comparison module obtains the amplitude, phase and transient characteristics of the target feature, compares the content of the target feature with the threshold, and determines whether to start the water mist spraying device according to the comparison result; If the blockage level is below the set threshold, the catalyst status will continue to be monitored without cleaning; If the degree of blockage exceeds the threshold, the catalyst substrate is deemed to be blocked and a cleaning operation needs to be initiated; The parameter acquisition module receives the instruction to start the water mist spraying device, initializes the water mist spraying device, sets the working parameters of the water mist spraying device according to the degree of blockage, and cleans the salt crystals in the catalyst by spraying water mist under the support of the working parameters; The process of the threshold setting module includes: The data collection submodule collects historical data, including the acoustic characteristics of the amplitude, phase and transient characteristics of the catalyst sound wave characteristics, as well as temperature, pressure, humidity, gas composition, catalyst service life, operation cycle and cleaning frequency; creates new features related to the degree of blockage based on historical data, combines acoustic signals with environmental factors to generate a feature set of pore blockage rate, and selects features that are highly correlated with catalyst blockage to construct a decision tree; The node setting submodule selects the amplitude of the catalyst acoustic wave feature to set the root node, and sets a dynamic threshold instead of a static one: the minimum and maximum amplitudes of historical data are used to determine the dynamic range as a basis for decision-making; specific blockage judgment criteria are set for each branch; at the same time, personalized logic is designed for each sub-branch; a rework branch is added to each sub-node, and when multiple samples are detected to be on the boundary of the same threshold in a certain state, higher-dimensional features are continued to be monitored to form further sub-nodes; The model training submodule uses labeled historical data to train the decision tree, traverses the decision tree structure from the root node, uses dynamically set thresholds to make real-time decisions, and then outputs normal, slightly blocked, or requires cleaning status, and provides real-time feedback.

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