Rapping and cleaning control method and system

Abstract

This invention provides a rapping dust removal control method and system, belonging to the field of electrostatic precipitator technology. The method includes: responding to a start signal, performing equipment initialization, and collecting emission parameters of the electrostatic precipitator after initialization; simulating emission conditions based on the emission parameters to obtain simulated operating conditions; determining the deviation between the simulated operating conditions and a preset optimal operating condition, and triggering a control command when the deviation exceeds a preset deviation threshold; executing the control command, generating control parameters based on the deviation value, and performing electrostatic precipitator control based on the control parameters. This invention solves the problem of existing electrostatic precipitator rapping solutions being unable to adjust the rapping force distribution according to different dust accumulation characteristics under different operating conditions.

Description

Technical Field

[0001] This invention relates to the field of electrostatic precipitator technology, specifically to a rapping dust removal control method and a rapping dust removal control system. Background Technology

[0002] Electrostatic precipitators occupy an absolutely mainstream position in ultra-low emissions from coal-fired power plants. Electrostatic precipitators charge particulate matter through corona discharge, and under the action of electric field force, the dust is adsorbed onto the anode plate. Then, the dust on the anode plate is knocked into the ash hopper by rapping, thereby separating the dust from the flue gas.

[0003] When the required dust concentration at the outlet of an electrostatic precipitator is 15 mg / m³ or even 10 mg / m³, controlling secondary dust emission is the core factor in ensuring the required dust concentration at the outlet. The effectiveness of secondary dust emission through rapping is related to the configuration of the rapping force. During dust removal, the ideal state is for the dust to fall in layers, as this prevents it from being carried away by the airflow and causing secondary dust emission. However, excessive rapping force can easily break up the dust layer, causing the dust to be carried away again by the airflow during the dust removal process, thus reducing the dust removal efficiency of the electrostatic precipitator.

[0004] Conventional electrostatic precipitators (ESPs) primarily employ two types of rapping mechanisms: mechanical rapping and electromagnetic rapping. Electromagnetic rapping involves placing electromagnetic rappers at the top of the ESP, creating a 2-3 meter space. However, this top-mounted rapping method suffers from several drawbacks: insufficient rapping force below the anode plate, leading to ineffective dust removal; and excessive rapping force at the top, potentially damaging the anode plate. Furthermore, the large number of rapping points increases the risk of air leakage, resulting in localized corrosion and increased flue gas volume. Similarly, mechanical rapping, positioned on one side of the electric field, suffers from unadjustable rapping force and excessively long ESPs due to the large amount of ineffective space along the length of the electric field, resulting in significant space requirements and high equipment costs. Because existing rapping methods have fixed rapping point positions and can only be arranged on one side, rapping force adjustment cannot be implemented across all positions of the anode plate, thus failing to adapt the rapping force distribution to different dust accumulation characteristics under varying operating conditions. Therefore, a new ESP rapping solution is needed to address these problems. Summary of the Invention

[0005] The purpose of this invention is to provide a rapping dust removal control method and system to at least solve the problem that existing electrostatic precipitator rapping schemes cannot adjust the rapping force distribution according to the different dust accumulation characteristics under different operating conditions.

[0006] To achieve the above objectives, the first aspect of the present invention provides a method for controlling rapping dust removal, the method comprising: responding to a start signal, performing equipment initialization, and collecting emission parameters of an electrostatic precipitator after initialization; simulating emission conditions based on the emission parameters to obtain simulated operating conditions; determining the deviation value between the simulated operating conditions and a preset optimal operating condition, and triggering a control command when the deviation value is greater than a preset deviation threshold; executing the control command, generating control parameters based on the deviation value, and performing electrostatic precipitator control based on the control parameters.

[0007] Optionally, the step of responding to the start signal and performing device initialization includes: collecting equipment parameter information of the electrostatic precipitator and calculating the basic dust removal performance of the target electrostatic precipitator based on the equipment parameter information; collecting circuit parameters of the electrostatic precipitator and judging the operating status of the target electrostatic precipitator based on the circuit parameters; and completing the device initialization after obtaining the basic dust removal performance of the target electrostatic precipitator and judging that the operating status of the target electrostatic precipitator is normal.

[0008] Optionally, the electrostatic precipitator equipment parameter information includes: anode plate type, anode plate height, anode plate thickness, and the number of anode plates in each group; the circuit parameters include: high-voltage power supply secondary current and secondary voltage values.

[0009] Optionally, the step of determining the operating status of the target electrostatic precipitator based on the circuit parameters includes: when the secondary current of the high-voltage power supply is within a preset normal secondary current range, determining that the first operating status determination condition is passed; otherwise, determining that the first operating status determination condition is not passed; when the secondary voltage value is within a preset normal secondary voltage range, determining that the second operating status determination condition is passed; otherwise, determining that the second operating status determination condition is not passed; if both the first and second operating status determination conditions are passed, determining that the operating status of the target electrostatic precipitator is normal; if either the first or second operating status determination condition is not passed, determining that the operating status of the target electrostatic precipitator is abnormal.

[0010] Optionally, the method further includes: if the basic cleaning performance of the target electrostatic precipitator is not obtained or the operating status of the target electrostatic precipitator is determined to be abnormal, repeating the calculation step of the basic cleaning performance of the target electrostatic precipitator or the judgment of the operating status of the target electrostatic precipitator until the basic cleaning performance of the target electrostatic precipitator is obtained and the operating status of the target electrostatic precipitator is determined to be normal; if after repeating the preset N times, the basic cleaning performance of the target electrostatic precipitator is still not obtained or the operating status of the target electrostatic precipitator is determined to be abnormal, outputting an alarm message.

[0011] Optionally, the emission parameters include: dust concentration at the outlet of the electrostatic precipitator, dust concentration at the inlet of the electrostatic precipitator, and secondary current and voltage parameters of the high-voltage power supply.

[0012] Optionally, the step of simulating emission conditions based on the emission parameters to obtain simulated operating conditions includes: predicting the dust concentration at the outlet of the electrostatic precipitator based on the dust concentration value at the inlet of the electrostatic precipitator, the secondary current of the high-voltage power supply, and the secondary voltage parameters, to obtain a predicted dust concentration value at the outlet of the electrostatic precipitator; performing a backfit algorithm based on the difference between the dust concentration value at the outlet of the electrostatic precipitator and the predicted dust concentration value at the outlet of the electrostatic precipitator to correct the simulation path; and generating simulated operating conditions based on the corrected simulation path.

[0013] Optionally, determining the deviation between the simulated operating condition and the preset optimal operating condition, and triggering a control command when the deviation exceeds a preset deviation threshold, includes: identifying various parameter information of the target electrostatic precipitator based on the simulated operating condition, as a simulated parameter set; identifying various optimal parameter information of the target electrostatic precipitator based on the optimal operating condition, as an optimal parameter set; traversing the simulated parameter set and the optimal parameter set, comparing each parameter one by one, and obtaining the difference between each comparison relationship; identifying the corresponding relationships where the absolute value of the difference is greater than the preset deviation threshold, and treating the parameter values ​​of the corresponding relationships as outliers; and triggering a control command based on all outliers.

[0014] A second aspect of the present invention provides a rapping dust removal control system, the system comprising: a data acquisition unit, configured to perform equipment initialization in response to a start signal, and to acquire emission parameters of an electrostatic precipitator after initialization; a simulation unit, configured to simulate emission conditions based on the emission parameters to obtain simulated operating conditions; a triggering unit, configured to determine the deviation value between the simulated operating conditions and a preset optimal operating condition, and to trigger a control command when the deviation value is greater than a preset deviation threshold; and a control unit, configured to execute the control command, generate control parameters based on the deviation value, and perform electrostatic precipitator control based on the control parameters.

[0015] On the other hand, the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described rapping dust removal control method.

[0016] Through the above technical solution, the present invention first determines the dust removal performance of the target electrostatic precipitator, then collects emission parameters in real time, performs real-time operating condition simulation based on the emission parameters, and determines whether the current operating condition is in the optimal operating state based on the simulated operating conditions. Then, it proposes a corresponding parameter control scheme applicable to the specific electrostatic precipitator, generating a control scheme based on the basic dust removal performance of the electrostatic precipitator and the corresponding simulated operating conditions, ensuring that a rapping scheme suitable for the current electrostatic precipitator is generated. This achieves a rule for generating differentiated rapping schemes for different electrostatic precipitators, solving the problem that existing electrostatic precipitator rapping schemes cannot adjust the rapping force distribution according to the different dust accumulation characteristics under different operating conditions.

[0017] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0018] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0019] Figure 1 This is a flowchart of the steps of a vibration dust removal control method provided in one embodiment of the present invention;

[0020] Figure 2 This is a schematic diagram of an electrostatic precipitator structure provided in one embodiment of the present invention;

[0021] Figure 3 This is a system structure diagram of a vibration dust removal control system provided in one embodiment of the present invention. Detailed Implementation

[0022] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0023] Electrostatic precipitators occupy an absolutely mainstream position in ultra-low emissions from coal-fired power plants. Electrostatic precipitators charge particulate matter through corona discharge, and under the action of electric field force, the dust is adsorbed onto the anode plate. Then, the dust on the anode plate is knocked into the ash hopper by rapping, thereby separating the dust from the flue gas.

[0024] When the required dust concentration at the outlet of an electrostatic precipitator is 15 mg / m³ or even 10 mg / m³, controlling secondary dust emission is the core factor in ensuring the required dust concentration at the outlet. The effectiveness of secondary dust emission through rapping is related to the configuration of the rapping force. During dust removal, the ideal state is for the dust to fall in layers, as this prevents it from being carried away by the airflow and causing secondary dust emission. However, excessive rapping force can easily break up the dust layer, causing the dust to be carried away again by the airflow during the dust removal process, thus reducing the dust removal efficiency of the electrostatic precipitator.

[0025] Conventional electrostatic precipitators (ESPs) primarily employ two types of rapping mechanisms: mechanical rapping and electromagnetic rapping. Electromagnetic rapping involves placing electromagnetic rappers at the top of the ESP, creating a 2-3 meter space. However, this top-mounted rapping method suffers from several drawbacks: insufficient rapping force below the anode plate hinders effective dust removal, while excessive force at the top can damage the anode plate. Furthermore, the large number of rapping points leads to air leakage, causing localized corrosion and increasing the volume of flue gas to be processed. Similarly, mechanical rapping, positioned on one side of the electric field, suffers from the inability to adjust the rapping force and the large amount of ineffective space along the length of the electric field, resulting in an excessively long ESP, significant space requirements, and high equipment costs. Because existing rapping methods have fixed rapping point positions and can only be arranged on one side, rapping force adjustment cannot be implemented across all positions of the anode plate, thus failing to adapt the rapping force distribution to different dust accumulation characteristics under varying operating conditions.

[0026] To address the problems of existing rapping schemes for electrostatic precipitators (ESPs), this invention proposes a novel rapping dust removal control method. This method first determines the dust removal performance of the target ESP, then collects emission parameters in real time, performs real-time operating condition simulation based on these parameters, and determines whether the current operating condition is at its optimal state based on the simulated conditions. Then, it proposes a corresponding parameter adjustment scheme applicable to the specific ESP. Based on the ESP's basic dust removal performance and the corresponding simulated operating conditions, the adjustment scheme is generated to ensure that a rapping scheme suitable for the current ESP is generated. This achieves the generation of differentiated rapping schemes for different ESPs, solving the problem that existing ESP rapping schemes cannot adjust the rapping force distribution according to the different dust accumulation characteristics under different operating conditions.

[0027] Figure 1 This is a flowchart of a vibration dust removal control method provided in one embodiment of the present invention. Figure 1 As shown, an embodiment of the present invention provides a method for controlling vibration dust removal, the method comprising:

[0028] Step S10: In response to the start signal, perform equipment initialization and collect the emission parameters of the electrostatic precipitator after initialization.

[0029] Specifically, in order to achieve differentiated control schemes for different electrostatic precipitators and for the same electrostatic precipitator under different dust collection conditions, the present invention requires differentiated system initialization to ensure that the current emission conditions and electrostatic precipitator operating parameters are understood in order to formulate corresponding control schemes for the current conditions.

[0030] Specifically, the step of responding to the start signal and performing device initialization includes: collecting equipment parameter information of the electrostatic precipitator and calculating the basic dust removal performance of the target electrostatic precipitator based on the equipment parameter information; collecting circuit parameters of the electrostatic precipitator and judging the operating status of the target electrostatic precipitator based on the circuit parameters; and completing the device initialization after obtaining the basic dust removal performance of the target electrostatic precipitator and judging that the operating status of the target electrostatic precipitator is normal.

[0031] Furthermore, the electrostatic precipitator equipment parameter information includes: anode plate type, anode plate height, anode plate thickness, number of anode plates in each group, and current dust type; the circuit parameters include: high-voltage power supply secondary current and secondary voltage values.

[0032] In this embodiment of the invention, by collecting relevant equipment information of the anode plate, the basic ash accumulation parameters of different electrostatic precipitators can be identified. Based on the circuit parameters and the corresponding dust type, the dust adsorption performance under the current operating conditions can be identified. By coupling the basic equipment performance and the adsorption performance, the basic ash accumulation performance of the current electrostatic precipitator under the current dust conditions can be obtained.

[0033] Preferably, the step of determining the operating status of the target electrostatic precipitator based on the circuit parameters includes: when the secondary current of the high-voltage power supply is within a preset normal secondary current range, the first operating status determination condition is determined to be passed; otherwise, the first operating status determination condition is determined to be failed; when the secondary voltage value is within a preset normal secondary voltage range, the second operating status determination condition is determined to be passed; otherwise, the second operating status determination condition is determined to be failed; if both the first and second operating status determination conditions are passed, the operating status of the target electrostatic precipitator is determined to be normal; if either the first or second operating status determination condition is failed, the operating status of the target electrostatic precipitator is determined to be abnormal.

[0034] Furthermore, the method also includes: if the basic cleaning performance of the target electrostatic precipitator is not obtained or the operating status of the target electrostatic precipitator is determined to be abnormal, repeating the calculation step of the basic cleaning performance of the target electrostatic precipitator or the judgment of the operating status of the target electrostatic precipitator until the basic cleaning performance of the target electrostatic precipitator is obtained and the operating status of the target electrostatic precipitator is determined to be normal; if after repeating the preset N times, the basic cleaning performance of the target electrostatic precipitator is still not obtained or the operating status of the target electrostatic precipitator is determined to be abnormal, outputting an alarm message.

[0035] Step S20: Perform emission condition simulation based on the emission parameters to obtain the simulated operating conditions.

[0036] Specifically, the emission parameters include: dust concentration at the outlet of the electrostatic precipitator, dust concentration at the inlet of the electrostatic precipitator, and secondary current and voltage parameters of the high-voltage power supply.

[0037] Preferably, the step of simulating emission conditions based on the emission parameters to obtain simulated operating conditions includes: predicting the dust concentration at the outlet of the electrostatic precipitator based on the dust concentration value at the inlet of the electrostatic precipitator, the secondary current of the high-voltage power supply, and the secondary voltage parameters, to obtain a predicted dust concentration value at the outlet of the electrostatic precipitator; performing a backfit algorithm based on the difference between the dust concentration value at the outlet of the electrostatic precipitator and the predicted dust concentration value at the outlet of the electrostatic precipitator to correct the simulation path; and generating simulated operating conditions based on the corrected simulation path.

[0038] In this embodiment of the invention, the backfit algorithm is a machine learning-based optimization algorithm used to adjust model parameters by minimizing the difference between model predictions and actual observations. This algorithm is widely used in statistics and data analysis, helping us understand the patterns and relationships behind the data, thereby making accurate predictions and decisions. The core idea of ​​the backfit algorithm is to minimize the difference between the model's predictions and actual observations by adjusting the model parameters. This difference is typically measured by a loss function, such as mean squared error or cross-entropy. Specifically, the backfit algorithm is implemented through the following steps:

[0039] 1) Initialize model parameters: First, we need to initialize the model parameters, such as weights and biases. These parameters will be adjusted during subsequent optimization.

[0040] 2) Forward Propagation: Using the current model parameters, we can calculate the model's predicted values ​​through forward propagation. This step involves processing the input data through the model to obtain the predicted values.

[0041] 3) Calculate the loss function: Compare the model's predictions with the actual observations and calculate the value of the loss function. The loss function measures the difference between the model's predictions and the actual observations.

[0042] 4) Backpropagation: Through backpropagation, we can calculate the derivative of the loss function with respect to the model parameters. These derivatives will guide us on how to adjust the model parameters to minimize the value of the loss function.

[0043] 5) Parameter Update: Using the calculated derivatives, we can update the model parameters. Typically, we use gradient descent or its variants to update the parameters. Gradient descent continuously adjusts the parameter values ​​to gradually reduce the value of the loss function.

[0044] 6) Repeat steps 2)-5) until the stopping criterion is met, such as reaching the maximum number of iterations or the value of the loss function converges.

[0045] The present invention first uses the inlet dust concentration value of the electrostatic precipitator, the secondary current of the high-voltage power supply, and the secondary voltage parameters to perform a forward fitting prediction of the outlet dust concentration value of the electrostatic precipitator, and then performs a reverse fitting verification using the outlet dust concentration value of the electrostatic precipitator to ensure the accuracy of the working condition simulation. This ensures that the simulated values ​​of the identified parameters are consistent with the displayed conditions, which is beneficial to the accuracy of subsequent data control.

[0046] Step S30: Determine the deviation between the simulated working condition and the preset optimal working condition, and trigger the control command when the deviation is greater than the preset deviation threshold.

[0047] Specifically, based on the simulated operating conditions, various parameter information of the target electrostatic precipitator is identified as a simulated parameter set; based on the optimal operating conditions, various optimal parameter information of the target electrostatic precipitator is identified as an optimal parameter set; the simulated parameter set and the optimal parameter set are traversed, and each parameter is compared one by one to obtain the difference between each comparison relationship; the corresponding relationship where the absolute value of the difference is greater than a preset deviation threshold is identified, and the parameter value of the corresponding relationship is regarded as an outlier; control commands are triggered based on all outliers.

[0048] In this embodiment of the invention, the parameter information includes circuit information, as well as information such as vibration frequency and vibration force.

[0049] Step S40: Execute the control command, generate control parameters based on the deviation value, and execute electrostatic precipitator control based on the control parameters.

[0050] Specifically, the control scheme is determined based on the sign of the difference between the corresponding relationships, the control amount is determined based on the absolute value of the difference, and the various parameters are adjusted accordingly.

[0051] Preferably, the electrostatic precipitator using this control scheme includes one or more of the following: an anode device, a pneumatic hammer rapping device, a mechanical rapping device, a high-voltage power supply, and a control unit. It includes an anode system (including a suspension beam, anode plate, clamping plate, and rapping anvil), a pneumatic hammer rapper, a controller, a rapping force measuring device, and an instrument air supply system (including an air supply pipeline system and an instrument air supply).

[0052] Preferred, such as Figure 2In the flue gas direction, the anode plates of each electric field are suspended on suspension beams, which are then limited and suspended from crossbeams. The anode plate rows are not fixedly connected, allowing for some displacement, thus ensuring effective transmission of the rapping force across the entire anode plate row. Clamping plates are installed vertically on the anode plates, typically arranged in 2-6 rows at equal intervals. The spacing is determined based on the anode plate height (smaller spacing for taller plates) and dust characteristics (smaller spacing at the top in light dust chambers). The top row of clamping plates is 500-2000mm from the top of the anode plate, and the bottom row is positioned at the bottom of the anode plate. Rap ​​anvils are installed at both ends of the clamping plates, and pneumatic hammer rappers are positioned at both ends of the clamping plates to rappel the anvils.

[0053] Furthermore, the pneumatic hammer rapper is equipped with a pulse valve. The rapper's action is controlled by switching the pulse valve on and off; the flow rate and pressure of the pulse gas are controlled by adjusting the switching quantity, thereby controlling the rapping force of the pneumatic hammer rapper. When the flue gas condition involves light dust (such as dust from sintering machine head flue gas), a large amount of highly adhesive dust floats on the upper side of the electrostatic precipitator, resulting in high dust adhesion and a large amount of dust on the upper side of the anode plate. In this case, through control, the pneumatic hammer rapper on the upper side of the anode plate outputs a correspondingly preset, larger rapping force, achieving the best dust removal effect with the minimum rapping force (because a large rapping force reduces equipment lifespan and causes secondary dust generation due to dust layer breakage; a small rapping force fails to dislodge the dust).

[0054] Figure 3 This is a system structure diagram of a rapping dust removal control system provided in one embodiment of the present invention. Figure 3 As shown, an embodiment of the present invention provides a rapping dust removal control system, the system comprising:

[0055] The acquisition unit is used to perform equipment initialization in response to the start signal, and to acquire the emission parameters of the electrostatic precipitator after initialization.

[0056] Specifically, in order to achieve differentiated control schemes for different electrostatic precipitators and for the same electrostatic precipitator under different dust collection conditions, the present invention requires differentiated system initialization to ensure that the current emission conditions and electrostatic precipitator operating parameters are understood in order to formulate corresponding control schemes for the current conditions.

[0057] Specifically, the step of responding to the start signal and performing device initialization includes: collecting equipment parameter information of the electrostatic precipitator and calculating the basic dust removal performance of the target electrostatic precipitator based on the equipment parameter information; collecting circuit parameters of the electrostatic precipitator and judging the operating status of the target electrostatic precipitator based on the circuit parameters; and completing the device initialization after obtaining the basic dust removal performance of the target electrostatic precipitator and judging that the operating status of the target electrostatic precipitator is normal.

[0058] Furthermore, the electrostatic precipitator equipment parameter information includes: anode plate type, anode plate height, anode plate thickness, number of anode plates in each group, and current dust type; the circuit parameters include: high-voltage power supply secondary current and secondary voltage values.

[0059] In this embodiment of the invention, by collecting relevant equipment information of the anode plate, the basic ash accumulation parameters of different electrostatic precipitators can be identified. Based on the circuit parameters and the corresponding dust type, the dust adsorption performance under the current operating conditions can be identified. By coupling the basic equipment performance and the adsorption performance, the basic ash accumulation performance of the current electrostatic precipitator under the current dust conditions can be obtained.

[0060] Preferably, the step of determining the operating status of the target electrostatic precipitator based on the circuit parameters includes: when the secondary current of the high-voltage power supply is within a preset normal secondary current range, the first operating status determination condition is determined to be passed; otherwise, the first operating status determination condition is determined to be failed; when the secondary voltage value is within a preset normal secondary voltage range, the second operating status determination condition is determined to be passed; otherwise, the second operating status determination condition is determined to be failed; if both the first and second operating status determination conditions are passed, the operating status of the target electrostatic precipitator is determined to be normal; if either the first or second operating status determination condition is failed, the operating status of the target electrostatic precipitator is determined to be abnormal.

[0061] Furthermore, the method also includes: if the basic cleaning performance of the target electrostatic precipitator is not obtained or the operating status of the target electrostatic precipitator is determined to be abnormal, repeating the calculation step of the basic cleaning performance of the target electrostatic precipitator or the judgment of the operating status of the target electrostatic precipitator until the basic cleaning performance of the target electrostatic precipitator is obtained and the operating status of the target electrostatic precipitator is determined to be normal; if after repeating the preset N times, the basic cleaning performance of the target electrostatic precipitator is still not obtained or the operating status of the target electrostatic precipitator is determined to be abnormal, outputting an alarm message.

[0062] The simulation unit is used to simulate emission conditions based on the emission parameters to obtain simulated operating conditions.

[0063] Specifically, the emission parameters include: dust concentration at the outlet of the electrostatic precipitator, dust concentration at the inlet of the electrostatic precipitator, and secondary current and voltage parameters of the high-voltage power supply.

[0064] Preferably, the step of simulating emission conditions based on the emission parameters to obtain simulated operating conditions includes: predicting the dust concentration at the outlet of the electrostatic precipitator based on the dust concentration value at the inlet of the electrostatic precipitator, the secondary current of the high-voltage power supply, and the secondary voltage parameters, to obtain a predicted dust concentration value at the outlet of the electrostatic precipitator; performing a backfit algorithm based on the difference between the dust concentration value at the outlet of the electrostatic precipitator and the predicted dust concentration value at the outlet of the electrostatic precipitator to correct the simulation path; and generating simulated operating conditions based on the corrected simulation path.

[0065] In this embodiment of the invention, the backfit algorithm is a machine learning-based optimization algorithm used to adjust model parameters by minimizing the difference between model predictions and actual observations. This algorithm is widely used in statistics and data analysis, helping us understand the patterns and relationships behind the data, thereby making accurate predictions and decisions. The core idea of ​​the backfit algorithm is to minimize the difference between the model's predictions and actual observations by adjusting the model parameters. This difference is typically measured by a loss function, such as mean squared error or cross-entropy. Specifically, the backfit algorithm is implemented through the following steps:

[0066] 1) Initialize model parameters: First, we need to initialize the model parameters, such as weights and biases. These parameters will be adjusted during subsequent optimization.

[0067] 2) Forward Propagation: Using the current model parameters, we can calculate the model's predicted values ​​through forward propagation. This step involves processing the input data through the model to obtain the predicted values.

[0068] 3) Calculate the loss function: Compare the model's predictions with the actual observations and calculate the value of the loss function. The loss function measures the difference between the model's predictions and the actual observations.

[0069] 4) Backpropagation: Through backpropagation, we can calculate the derivative of the loss function with respect to the model parameters. These derivatives will guide us on how to adjust the model parameters to minimize the value of the loss function.

[0070] 5) Parameter Update: Using the calculated derivatives, we can update the model parameters. Typically, we use gradient descent or its variants to update the parameters. Gradient descent continuously adjusts the parameter values ​​to gradually reduce the value of the loss function.

[0071] 6) Repeat steps 2)-5) until the stopping criterion is met, such as reaching the maximum number of iterations or the value of the loss function converges.

[0072] The present invention first uses the inlet dust concentration value of the electrostatic precipitator, the secondary current of the high-voltage power supply, and the secondary voltage parameters to perform a forward fitting prediction of the outlet dust concentration value of the electrostatic precipitator, and then performs a reverse fitting verification using the outlet dust concentration value of the electrostatic precipitator to ensure the accuracy of the working condition simulation. This ensures that the simulated values ​​of the identified parameters are consistent with the displayed conditions, which is beneficial to the accuracy of subsequent data control.

[0073] The triggering unit is used to determine the deviation between the simulated working condition and the preset optimal working condition, and to trigger a control command when the deviation is greater than the preset deviation threshold.

[0074] Specifically, based on the simulated operating conditions, various parameter information of the target electrostatic precipitator is identified as a simulated parameter set; based on the optimal operating conditions, various optimal parameter information of the target electrostatic precipitator is identified as an optimal parameter set; the simulated parameter set and the optimal parameter set are traversed, and each parameter is compared one by one to obtain the difference between each comparison relationship; the corresponding relationship where the absolute value of the difference is greater than a preset deviation threshold is identified, and the parameter value of the corresponding relationship is regarded as an outlier; control commands are triggered based on all outliers.

[0075] In this embodiment of the invention, the parameter information includes circuit information, as well as information such as vibration frequency and vibration force.

[0076] The control unit is used to execute the control command, generate control parameters based on the deviation value, and perform electrostatic precipitator control based on the control parameters.

[0077] Specifically, the control scheme is determined based on the sign of the difference between the corresponding relationships, the control amount is determined based on the absolute value of the difference, and the various parameters are adjusted accordingly.

[0078] Preferably, the electrostatic precipitator using this control scheme includes one or more of the following: an anode device, a pneumatic hammer rapping device, a mechanical rapping device, a high-voltage power supply, and a control unit. It includes an anode system (including a suspension beam, anode plate, clamping plate, and rapping anvil), a pneumatic hammer rapper, a controller, a rapping force measuring device, and an instrument air supply system (including an air supply pipeline system and an instrument air supply).

[0079] Preferably, the anode plates of each electric field in the flue gas direction are suspended on suspension beams, which are then limited and suspended on crossbeams. The anode plate rows are not fixedly connected, allowing for a certain degree of displacement, thus ensuring effective transmission of the rapping force across the entire anode plate row. Clamping plates are installed vertically on the anode plates, typically arranged in 2-6 rows at equal intervals. The spacing is determined based on the anode plate height (smaller spacing for taller anode plates) and dust characteristics (smaller spacing at the top in light dust chambers). The top row of clamping plates is 500-2000mm from the top of the anode plate, and the bottom row is positioned at the bottom of the anode plate. Rap ​​anvils are installed at both ends of the clamping plates, and pneumatic hammer rappers are positioned at both ends of the clamping plates to rappel the anvils.

[0080] Furthermore, the pneumatic hammer rapper is equipped with a pulse valve. The rapper's action is controlled by switching the pulse valve on and off; the flow rate and pressure of the pulse gas are controlled by adjusting the switching quantity, thereby controlling the rapping force of the pneumatic hammer rapper. When the flue gas condition involves light dust (such as dust from sintering machine head flue gas), a large amount of highly adhesive dust floats on the upper side of the electrostatic precipitator, resulting in high dust adhesion and a large amount of dust on the upper side of the anode plate. In this case, through control, the pneumatic hammer rapper on the upper side of the anode plate outputs a correspondingly preset, larger rapping force, achieving the best dust removal effect with the minimum rapping force (because a large rapping force reduces equipment lifespan and causes secondary dust generation due to dust layer breakage; a small rapping force fails to dislodge the dust).

[0081] The present invention also provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described vibration dust removal control method.

[0082] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a microcontroller, chip, or processor to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0083] The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details described above. Within the scope of the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe the various possible combinations.

[0084] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the embodiments of the present invention, they should also be regarded as the content disclosed by the embodiments of the present invention.

Claims

1. A method for controlling vibration dust removal, characterized in that, The method includes: In response to the start signal, the device initializes and then collects the emission parameters of the electrostatic precipitator; among which, The emission parameters include: dust concentration at the outlet of the electrostatic precipitator, dust concentration at the inlet of the electrostatic precipitator, and secondary current and voltage parameters of the high-voltage power supply. Based on the inlet dust concentration value of the electrostatic precipitator, the secondary current and secondary voltage parameters of the high-voltage power supply, the outlet dust concentration value of the electrostatic precipitator is predicted to obtain the predicted outlet dust concentration value of the electrostatic precipitator. A reverse fitting algorithm is executed based on the difference between the dust concentration value at the outlet of the electrostatic precipitator and the predicted dust concentration value at the outlet of the electrostatic precipitator to perform simulated path correction; Simulation conditions are generated based on the corrected simulation path; Determine the deviation between the simulated operating condition and the preset optimal operating condition, and trigger a control command when the deviation exceeds a preset deviation threshold. The control command is executed, control parameters are generated based on the deviation value, and the electrostatic precipitator is controlled based on the control parameters.

2. The method according to claim 1, characterized in that, The process of initializing the device in response to the start signal includes: Collect the equipment parameter information of the electrostatic precipitator, and calculate the basic dust removal performance of the target electrostatic precipitator based on the equipment parameter information; The circuit parameters of the electrostatic precipitator are collected, and the operating status of the target electrostatic precipitator is determined based on the circuit parameters. After obtaining the basic dust removal performance of the target electrostatic precipitator and determining that the target electrostatic precipitator is operating normally, the equipment initialization is completed.

3. The method according to claim 2, characterized in that, The electrostatic precipitator equipment parameter information includes: Anode plate type, anode plate height, anode plate thickness, number of anode plates in each group, and current flue gas type; The circuit parameters include: The secondary current and secondary voltage values ​​of the high-voltage power supply.

4. The method according to claim 3, characterized in that, The determination of the target electrostatic precipitator's operating status based on the circuit parameters includes: When the secondary current of the high-voltage power supply is within the preset normal secondary current range, the first operating state determination condition is determined to be passed; otherwise, the first operating state determination condition is determined to be failed. When the secondary voltage value is within the preset normal secondary voltage range, the second operating state determination condition is determined to be passed; otherwise, the second operating state determination condition is determined to be failed. If both the first and second operating status determination conditions are met, the target electrostatic precipitator is determined to be operating normally. If either the first operating status determination condition or the second operating status determination condition fails, the operating status of the target electrostatic precipitator is determined to be abnormal.

5. The method according to claim 2, characterized in that, The method further includes: If the basic cleaning performance of the target electrostatic precipitator is not obtained or the operating status of the target electrostatic precipitator is determined to be abnormal, repeat the calculation steps of the basic cleaning performance of the target electrostatic precipitator or the judgment of the operating status of the target electrostatic precipitator until the basic cleaning performance of the target electrostatic precipitator is obtained and the operating status of the target electrostatic precipitator is determined to be normal. If the basic cleaning performance of the target electrostatic precipitator is still not obtained after repeating the preset N times, or if the operating status of the target electrostatic precipitator is determined to be abnormal, an alarm message will be output.

6. The method according to claim 1, characterized in that, Determine the deviation between the simulated operating condition and the preset optimal operating condition, and trigger a control command when the deviation exceeds a preset deviation threshold, including: Based on the simulated operating conditions, various parameter information of the target electrostatic precipitator is identified as a set of simulated parameters; Based on the optimal operating conditions, the optimal parameter information of the target electrostatic precipitator is identified as the optimal parameter set; Traverse the simulated parameter set and the optimal parameter set, compare each parameter one by one, and obtain the difference of each comparison relationship; Identify the corresponding relationships where the absolute value of the difference is greater than a preset deviation threshold, and treat the parameter values ​​of the corresponding relationships as outliers; Control commands are triggered based on all outliers.

7. A rapping dust removal control system, characterized in that, The system is used to execute the vibration dust removal control method according to any one of claims 1-6, the system comprising: The data acquisition unit is used to perform equipment initialization in response to the start signal, and to collect the emission parameters of the electrostatic precipitator after initialization; The simulation unit is used to simulate emission conditions based on the emission parameters to obtain simulated operating conditions. The triggering unit is used to determine the deviation value between the simulated working condition and the preset optimal working condition, and to trigger the control command when the deviation value is greater than the preset deviation threshold. The control unit is used to execute the control command, generate control parameters based on the deviation value, and perform electrostatic precipitator control based on the control parameters.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the rapping dust removal control method as described in any one of claims 1-6.

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