Automatic control method and system for electrostatic precipitation system

Abstract

An automatic control method and system for an electrostatic precipitation system. The method combines a neural network control algorithm with a PID regulation control algorithm, and uses the neural network control algorithm to carry out preprocessing on the control of the electrostatic precipitation system and uses the PID regulation control algorithm to carry out initialization processing when the electrostatic precipitation system is out of control, thereby avoiding the uncontrollable state of the electrostatic precipitation system caused by PID control overshoot or oscillation; moreover, the PID regulation control algorithm is used to carry out real-time tracking regulation on the electrostatic precipitation system, so that the real-time response speed of intelligent control of the electrostatic precipitation system can be effectively increased. Therefore, the energy conservation and efficiency improvement of the electrostatic precipitation system are better realized while the operation stability and response rapidness of an electric precipitator are ensured and controlled. By combining the two control algorithms, once intelligent control is used, the automatic control method effectively prevents the electrostatic precipitation system from being temporarily out of control due to excessive overshoot, thereby ensuring the stable operation of the electrostatic precipitation system, and implementing intelligent control.

Description

Automatic control method and system for electrostatic dust removal system Technical Field

[0001] The present invention belongs to the field of electrostatic dust removal, and in particular relates to an automatic control method and system for an electrostatic dust removal system. Background Art

[0002] Coal-fired power plants are commonly subject to frequent peak load regulation and a wide variety of coal types. With increasing demands for energy conservation and environmental protection, power generation costs are also rising. To reduce costs, many coal-fired power plants prioritize high-proportion blending. This multi-coal blending poses significant challenges to unit operation and pollutant treatment.

[0003] As the core system for flue gas dust removal, electrostatic precipitators (ESPs) currently mostly rely on manual oversight to adjust the ESP power supply operating parameters, as well as the vibration and step-down vibration timing control parameters. Due to the significant individual variability in human operation, this method can lead to problems such as weak equipment operating stability and persistently high energy consumption. Furthermore, as parameters such as boiler load, coal quality, and flue gas temperature change, the existing ESP control system cannot quickly respond to the variability of load and coal quality, often resulting in excessive smoke emissions and large fluctuations and instability in precipitator outlet data. The operational stability of the ESP not only affects the stability of the desulfurization system but is also directly related to environmentally friendly smoke emissions. Exceeding environmental emissions not only results in severe economic penalties for power plants but also has negative social impacts.

[0004] Some studies have used PID controllers to automatically control electrostatic precipitator systems. However, this method is prone to overshoot and oscillation when the load changes dramatically, requiring a long period of self-regulation, which can lead to emissions exceeding standards. Furthermore, manual intervention is difficult in these situations, making it difficult for operators to terminate automatic control and manually adjust power supply parameters. Therefore, PID control is only suitable for rapid dynamic regulation within a certain range and relatively steady-state tracking regulation.

[0005] Some studies have used artificial intelligence algorithms to control electrostatic dust removal systems. This method can quickly adjust to near the expected value when the load changes drastically, but the dynamic tracking characteristics are slow and cannot quickly reach the optimal energy-saving control point.

[0006] Summary of the Invention

[0007] In order to solve the problems existing in the prior art, the present invention provides an automatic control method and system for an electrostatic dust removal system.

[0008] The technical solutions of the present invention are as follows:

[0009] An automatic control method for an electrostatic dust removal system, comprising:

[0010] 1) collecting current operating data of the electrostatic precipitator system, wherein the operating data includes boiler load, dust concentration at the inlet of the electrostatic precipitator, dust concentration at the outlet of the electrostatic precipitator, dust concentration at the chimney outlet, and the number of electrostatic precipitator power supplies in operation; inputting the current operating data into a pre-built dust removal control model, controlling the electrostatic precipitator system according to dust removal control parameters output by the dust removal control model, and monitoring the dust concentration at the outlet of the electrostatic precipitator and the dust concentration at the chimney outlet of the electrostatic precipitator system in real time; the dust removal control parameters include power, voltage, current, and vibration timing of the electrostatic precipitator power supply;

[0011] 2) When the dust concentration at the electrostatic precipitator outlet or the dust concentration at the chimney outlet of the electrostatic precipitator system exceeds the set parameter value, a double closed-loop PID adjustment control is adopted to track and update the electrostatic precipitator power supply power or current in the dust removal control parameters in real time. When the dust concentration at the electrostatic precipitator outlet and the dust concentration at the chimney outlet both meet the set parameter value requirements, return to step 1).

[0012] Furthermore, step 1) also includes real-time monitoring of the electrostatic precipitator power after control. If the electrostatic precipitator power is less than the electrostatic precipitator power before control and the dust concentration at the electrostatic precipitator outlet or the chimney outlet is less than or equal to the set parameter value, the operating data after control is used as a sample to update the dust removal control model.

[0013] Furthermore, the method for constructing the dust removal control model includes:

[0014] Acquire several pieces of historical operating condition data of the electrostatic precipitator system, the operating condition data including operating data, system stable operating time corresponding to the operating data, and dust removal control parameters corresponding to the operating data;

[0015] Performing parameter optimization screening on the historical operating condition data;

[0016] A dust removal control model is constructed, and the operating data in the working condition data after parameter optimization and screening is used as the input data of the dust removal control model, and the dust removal control parameters in the working condition data after parameter optimization and screening are used as the output data of the dust removal control model. The constructed dust removal control model is trained to complete the construction of the dust removal control model.

[0017] Furthermore, several pieces of historical operating condition data of the electrostatic precipitator system are acquired through a DCS system, an analog quantity acquisition unit and a power supply system.

[0018] Furthermore, the specific method for performing parameter optimization screening on the operating condition data includes:

[0019] First, remove abnormal values ​​in the operating condition data, and then filter out the operating condition data that meets the optimal energy-saving standards.

[0020] Furthermore, the optimal energy-saving standards include:

[0021] The operating data in the working condition data meets the requirement that the steady-state fluctuation of boiler load and dust concentration at the dust collector inlet does not exceed 5%, the dust concentration at the electrostatic precipitator outlet and the dust concentration at the chimney outlet meet the set value requirements, and the system stable operation time corresponding to the operating data in the working condition data is greater than or equal to 8 hours.

[0022] Furthermore, the dust removal control model adopts a cyclic feedforward neural network model.

[0023] Furthermore, the specific method of adopting double closed-loop PID regulation control to track and update the electrostatic precipitator power or current in the dust removal control parameters in real time includes:

[0024] The dust concentration at the dust collector outlet is collected and compared with the set value, and the first electrostatic precipitator control parameter is obtained through the PID adjustment module. At the same time, the dust concentration at the chimney outlet is collected and compared with the set value, and the second electrostatic precipitator control parameter is obtained through PID adjustment. The first electrostatic precipitator control parameter and the second electrostatic precipitator control parameter are compared with the selector to obtain the final electrostatic precipitator control parameter.

[0025] Furthermore, the electrostatic precipitator is provided with a plurality of dust removal channels, each of which is provided with a plurality of rapping electric fields, and each rapping electric field is equipped with a rapper and an electrostatic precipitator power supply;

[0026] Step 2) also includes real-time monitoring of the number of operating electrostatic precipitator power supplies of the electrostatic precipitator system, the number of rappers performing step-down rapping, and the current rapping sequence, and performing step-down rapping control based on the number of operating rapping power supplies, the number of rappers performing step-down rapping, and the current rapping sequence.

[0027] An automatic control system for an electrostatic dust removal system, comprising a data acquisition unit, an intelligent control service unit, a first network communication unit, an intelligent dust removal workstation, a second network communication unit, a DCS system, and an optoelectronic communication unit; the intelligent control service unit is connected to the data acquisition unit, connected to the intelligent dust removal workstation via the first network communication unit, connected to the DCS system via the second network communication unit, and connected to the electrostatic dust removal system via the optoelectronic communication unit;

[0028] The automatic control system uses any of the above-mentioned automatic control methods for electrostatic precipitators to automatically control the electrostatic precipitator system; wherein,

[0029] The data acquisition unit is used to collect the current operating data of the electrostatic precipitator system and transmit it to the intelligent control service unit. The operating data includes boiler load, dust concentration at the electrostatic precipitator inlet, dust concentration at the electrostatic precipitator outlet, dust concentration at the chimney outlet, and the number of electrostatic precipitator power supplies in operation;

[0030] The intelligent control service unit transmits the received current operating data of the electrostatic precipitator system to the intelligent dust removal workstation via the first network communication unit; the intelligent dust removal workstation inputs the received current operating data of the electrostatic precipitator system into a pre-built dust removal control model, and controls the electrostatic precipitator system via the first network communication unit, the intelligent control service unit, and the optoelectronic communication unit in sequence using the dust removal control parameters output by the dust removal control model;

[0031] The intelligent control service unit adopts double closed-loop PID regulation control to track and update the electrostatic precipitator power or current in the dust removal control parameters in real time and control the electrostatic precipitator system through the optoelectronic communication unit.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention proposes an automatic control method and system for an electrostatic precipitator system. The method combines a neural network control algorithm with a PID regulation control algorithm, and uses the neural network control algorithm as a preprocessing for the control of the electrostatic precipitator system and an initialization process when the PID regulation control algorithm is out of control, thereby avoiding the uncontrollable state of the system caused by overshoot or oscillation of the PID control. At the same time, the PID regulation control algorithm is used as a real-time tracking adjustment for the system, which can effectively improve the real-time response speed of the system intelligent control. Thereby, while ensuring the stability and rapid response of the operation of the electrostatic precipitator, the system energy saving and efficiency improvement are better achieved. On the other hand, the automatic control method of the present invention effectively avoids the situation where the system overshoots too much and temporarily loses control once the intelligent control is switched on by combining the two control algorithms, thereby ensuring the stable operation of the electrostatic precipitator system and realizing intelligent control.

[0034] This invention uses dual closed-loop PID regulation, taking both the dust collector outlet and the chimney outlet into account. This avoids tracking only the chimney outlet, which can lead to high dust collector energy consumption and inadequate utilization of the desulfurization and denitrification system, or tracking only the dust collector outlet dust concentration, which can result in substandard chimney outlet dust concentration. This maximizes the utilization of the entire system while enabling rapid dynamic regulation, achieving optimal energy savings while meeting emission requirements.

[0035] The neural network algorithm of the present invention utilizes the operating parameters of the dust removal system to continuously improve the model, thereby improving the optimization degree of the model output operating parameters, thereby shortening the dynamic response process of the system, increasing the system response speed, and further improving the stability of the system.

[0036] The present invention also performs coordinated control of vibration control. By monitoring the number of operating electrostatic precipitator power supplies in the electrostatic precipitator system, the number of rappers performing step-down vibration, and the current vibration sequence, the step-down vibration control of the electrostatic precipitator system is realized, thereby reducing the impact of the operation of the vibration system on the dust removal efficiency of the electrostatic precipitator, thereby more effectively reducing secondary dust and improving dust removal efficiency, while also avoiding the increase in energy consumption caused by unnecessary power supply operation power adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] FIG1 is a flow chart of an automatic control method for an electrostatic precipitator system;

[0038] Figure 2 is a structural diagram of a neural network control system;

[0039] Figure 3 is a structural diagram of a double closed-loop PID control system;

[0040] Figure 4 is a block diagram of the automatic control system of the electrostatic dust removal system. DETAILED DESCRIPTION

[0041] The present invention will be further described below with reference to specific embodiments and corresponding drawings.

[0042] Example 1:

[0043] An automatic control method for an electrostatic dust removal system of the present invention, as shown in FIG1 , comprises:

[0044] 1) Collecting the current operating data of the electrostatic precipitator system, including boiler load, dust concentration at the inlet and outlet of the electrostatic precipitator, dust concentration at the chimney outlet, and the number of electrostatic precipitator power supplies in operation; inputting the current operating data into a pre-built dust removal control model, controlling the electrostatic precipitator system according to the dust removal control parameters output by the dust removal control model, and monitoring the dust concentration at the electrostatic precipitator outlet and the dust concentration at the chimney outlet of the electrostatic precipitator system in real time; the dust removal control parameters include the power, voltage, current, and vibration timing of the electrostatic precipitator power supply;

[0045] 2) When the dust concentration at the electrostatic precipitator outlet or the dust concentration at the chimney outlet of the electrostatic precipitator system exceeds the set parameter value, a double closed-loop PID adjustment controller is used to track and update the electrostatic precipitator power or current in the dust removal control parameters in real time, and monitor the dust concentration at the electrostatic precipitator outlet and the dust concentration at the chimney outlet of the electrostatic precipitator system in real time. When the dust concentration at the electrostatic precipitator outlet and the dust concentration at the chimney outlet both meet the set parameter value requirements, return to step 1).

[0046] Example 2:

[0047] This embodiment is further designed on the basis of the first embodiment in that: this embodiment also includes in step 1) of the automatic control method of the present invention, real-time monitoring of the electrostatic precipitator power supply power after the electrostatic precipitator system is controlled according to the dust removal control parameters output by the dust removal control model; if the electrostatic precipitator power supply power is less than the electrostatic precipitator power supply power before control and the dust concentration at the electrostatic precipitator outlet or the dust concentration at the chimney outlet is less than or equal to the set parameter value, the operating data after control is used as a sample to update the dust removal control model.

[0048] The following uses the control process data of an electrostatic dust removal system to specifically illustrate the further design scheme of this example. During the stable operation time of the system, the electrostatic dust removal system is controlled according to the dust removal control parameters output by the dust removal control model. Some operating data and some dust removal control parameters of the electrostatic dust removal system are shown in the following table:

[0049] From the table above, we can see that the power supply of the electrostatic precipitator of sample number N.002 is less than that of sample number N.001, and the dust concentration at the outlet of the electrostatic precipitator of this sample meets the set value of less than 55mg / m 3 The dust concentration at the chimney outlet meets the set value of less than 5mg / m 3 Therefore, the sample can be used to update the dust removal control model, realize the self-improvement of the model, and improve the optimization degree of the model output operating parameters, thereby shortening the dynamic response process of the system, improving the system response speed, and further improving the stability of the system.

[0050] Example 3:

[0051] This embodiment is further designed based on the first embodiment in that the dust removal control model in this embodiment adopts a recurrent feedforward neural network model. As shown in Figure 2, the construction method of the dust removal control model includes:

[0052] Acquire several historical operating condition data of the electrostatic precipitator system, including operating data, system stable operating time corresponding to the operating data, and dust removal control parameters corresponding to the operating data; the historical operating condition data can be acquired through the DCS system, analog acquisition unit and power supply system.

[0053] Optimize and screen parameters of historical operating condition data;

[0054] A dust removal control model is constructed, and the operating data in the working condition data after parameter optimization and screening is used as the input data of the dust removal control model, and the dust removal control parameters in the working condition data after parameter optimization and screening are used as the output data of the dust removal control model. The constructed dust removal control model is trained to complete the construction of the dust removal control model.

[0055] Example 4:

[0056] This embodiment is further designed on the basis of the third embodiment in that the specific method for performing parameter optimization screening on the working condition data in this embodiment includes:

[0057] First, remove abnormal values ​​from the operating condition data, and then filter out the operating condition data that meets the optimal energy-saving standards. The optimal energy-saving standards include:

[0058] The operating data in the working condition data meets the requirement that the steady-state fluctuation of boiler load and dust concentration at the dust collector inlet does not exceed 5%, the dust concentration at the electrostatic precipitator outlet and the dust concentration at the chimney outlet meet the set value requirements, and the system stable operation time corresponding to the operating data in the working condition data is greater than or equal to 8 hours.

[0059] Embodiment 5:

[0060] This embodiment is further designed on the basis of the first embodiment in that: in this embodiment, a double closed-loop PID adjustment controller is used, and the specific method of real-time tracking and updating the electrostatic precipitator power or current in the dust removal control parameters includes:

[0061] As shown in Figure 3, the dust concentration at the dust collector outlet is collected and compared with the set value, and the first electrostatic precipitator control parameter (the first electrostatic precipitator power and the first current) is obtained through the PID adjustment module. At the same time, the dust concentration at the chimney outlet (the total outlet dust concentration, the concentration of the gas discharged from the chimney outlet after desulfurization and denitrification treatment) is collected and compared with the set value, and the second electrostatic precipitator control parameter (the second electrostatic precipitator power and the second current) is also obtained through PID adjustment. The first electrostatic precipitator control parameter and the second electrostatic precipitator control parameter are compared with the selector to obtain the final electrostatic precipitator control parameter.

[0062] The comparison selection criteria of the comparison selector can adopt the existing method or the following method:

[0063] Obtain the final electrostatic precipitator power and final current, and then select the final electrostatic precipitator power or final current as the final electrostatic precipitator control parameter according to the electrostatic precipitator power operation mode; among them, for the electrostatic precipitator in manual continuous mode, the final electrostatic precipitator power is used as the final electrostatic precipitator control parameter, and for the electrostatic precipitator in automatic continuous mode, the final current is used as the final electrostatic precipitator control parameter.

[0064] The final electrostatic precipitator power and final current can be obtained in the following two ways:

[0065] Method 1: For an electrostatic precipitator system in which the dust concentration at the electrostatic precipitator outlet exceeds the set parameter value, the smaller value of the first electrostatic precipitator control parameter and the second electrostatic precipitator control parameter is selected as the final electrostatic precipitator control parameter (final electrostatic precipitator power supply and final current); for an electrostatic precipitator system in which the dust concentration at the chimney outlet exceeds the set parameter value, the larger value of the first electrostatic precipitator control parameter and the second electrostatic precipitator control parameter is selected as the final electrostatic precipitator control parameter (final electrostatic precipitator power supply and final current).

[0066] Method 2: Perform weighted summation on the first electrostatic precipitator control parameter and the second electrostatic precipitator control parameter to obtain the final electrostatic precipitator control parameter (final electrostatic precipitator power and final current), wherein the weighted summation can be performed using the following formula: P = n1*P1 + n2*P2 I = m1*I1 + m2*I2

[0067] Wherein, P is the final electrostatic precipitator power; P1 and P2 are the first electrostatic precipitator power and the second electrostatic precipitator power respectively; n1 and n2 are the weights of the first electrostatic precipitator power and the second electrostatic precipitator power respectively; I is the final current; I1 and I2 are the first current and the second current respectively; m1 and m2 are the weights of the first current and the second current respectively;

[0068] Example 6:

[0069] This embodiment is further designed on the basis of the first embodiment in that: in this embodiment, the electrostatic precipitator is provided with a plurality of dust removal channels, each of which is provided with a plurality of rapping electric fields, and each rapping electric field is equipped with a rapper and an electrostatic precipitator power supply;

[0070] Step 2) also includes, real-time monitoring of the number of electrostatic precipitator power supply operations of the electrostatic precipitator system, the number of rappers performing step-down rapping, and the current rapping sequence, and performing step-down rapping control according to the number of rapping power supply operations, the number of rappers performing step-down rapping, and the current rapping sequence. Step-down rapping control can adopt existing methods or the following methods:

[0071] a. Real-time monitoring of the number of operating and fault-outage power supply units of the electrostatic precipitator. If the number of faulty power supply units exceeds the protection threshold, the voltage reduction vibration will not be performed during vibration.

[0072] b. Real-time monitoring of the number of rappers performing step-down rapping. If the number of rappers performing step-down rapping is greater than the set value, no new rappers will be added to perform step-down rapping;

[0073] c. Analyze the current vibration sequence and determine one by one whether the electric field can be vibrated with reduced voltage. The judgment content includes whether the logical operation needs to perform the reduced voltage vibration, the current vibration device status, the current power supply status of the electrostatic precipitator, the time of the previous reduced voltage vibration, and whether the reduced voltage vibration is allowed.

[0074] d. If a rapper that is performing voltage reduction rapping no longer meets the voltage reduction rapping conditions, a voltage reduction termination instruction will be issued immediately.

[0075] Embodiment seven:

[0076] An automatic control system for an electrostatic precipitator system of the present invention, as shown in Figure 4, includes a data acquisition unit, an intelligent control service unit, a first network communication unit, an intelligent dust removal workstation, a second network communication unit, a DCS system, and a photoelectric communication unit; the data acquisition unit specifically includes a digital quantity acquisition unit for state feedback and hard-wired control and an analog quantity acquisition unit composed of a turbidity meter and a temperature sensor; the intelligent control service unit is connected to the data acquisition unit, connected to the intelligent dust removal workstation through the first network communication unit (network communication unit 1), connected to the DCS system through the second network communication unit (network communication unit 2), and connected to the electrostatic precipitator system through the photoelectric communication unit; the electrostatic precipitator system includes a vibration system, a heating system, and a power supply system. In this example, the intelligent dust removal workstation serves as a human-computer interaction interface, including a menu bar, a homepage, a high-voltage screen, a vibration screen, an ash hopper screen, an intelligent control screen, a historical curve screen, an alarm information screen, and a communication screen, to realize the preservation and analysis of historical data, and to prefabricate control parameters; the first network communication unit, the second network communication unit, and the intelligent control service unit are implemented simultaneously by one device to improve collaborative data processing and intelligent control response speed. The optoelectronic communication unit uses RS485 serial communication and the industrial standard ModBus RTU communication protocol. The analog acquisition module can process both 0-5V and 4-20mA signals. The digital signal acquisition unit uses a dry contact form.

[0077] This example also differentiates the control method of the present invention according to the above-mentioned system composition, arranges the neural network algorithm part in the intelligent dust removal workstation, and arranges the dual closed-loop PID control in the intelligent control service unit. At the same time, the intelligent control service unit is also responsible for the entire network data communication function, which facilitates the sharing and collaborative processing of related data, and also improves the dynamic response speed of real-time control.

[0078] The automatic control system of the present invention adopts the automatic control method of the electrostatic dust removal system of the present invention to automatically control the electrostatic dust removal system; wherein,

[0079] The data acquisition unit is used to collect the current operating data of the electrostatic precipitator system and transmit it to the intelligent control service unit. The operating data includes boiler load, dust concentration at the electrostatic precipitator inlet, dust concentration at the electrostatic precipitator outlet, dust concentration at the chimney outlet, and the number of electrostatic precipitator power supplies in operation;

[0080] The intelligent control service unit transmits the received current operating data of the electrostatic precipitator system to the intelligent dust removal workstation via the first network communication unit; the intelligent dust removal workstation inputs the received current operating data of the electrostatic precipitator system into a pre-built dust removal control model, and controls the electrostatic precipitator system via the first network communication unit, the intelligent control service unit, and the optoelectronic communication unit in sequence using the dust removal control parameters output by the dust removal control model;

[0081] The intelligent control service unit adopts a dual closed-loop PID regulation controller to track and update the electrostatic precipitator power or current in the dust removal control parameters in real time and control the electrostatic precipitator system through the optoelectronic communication unit.

Claims

1. An automatic control method for an electrostatic dust removal system, characterized in that: include: 1) Collecting the current operation data of the electrostatic precipitator system, the operation data including boiler load, dust concentration at the inlet of the electrostatic precipitator, dust concentration at the outlet of the electrostatic precipitator, dust concentration at the chimney outlet, and the number of electrostatic precipitator power supplies in operation; inputting the current operation data into a pre-built dust removal control model, controlling the electrostatic precipitator system according to the dust removal control parameters output by the dust removal control model, and monitoring the dust concentration at the outlet of the electrostatic precipitator and the dust concentration at the chimney outlet of the electrostatic precipitator system in real time; the dust removal control parameters include power, voltage, current and vibration timing of the electrostatic precipitator power supply; 2) When the dust concentration at the outlet of the electrostatic precipitator or the dust concentration at the chimney outlet of the electrostatic precipitator system exceeds the set parameter value, a double closed-loop PID adjustment control is adopted to track and update the electrostatic precipitator power supply power or current in the dust removal control parameters in real time. When the dust concentration at the outlet of the electrostatic precipitator and the dust concentration at the chimney outlet both meet the set parameter value requirements, return to step 1).

2. The automatic control method of the electrostatic precipitator system according to claim 1, characterized in that: Step 1) also includes real-time monitoring of the electrostatic precipitator power after control. If the electrostatic precipitator power is less than the electrostatic precipitator power before control and the dust concentration at the electrostatic precipitator outlet or the chimney outlet is less than or equal to the set parameter value, the operating data after control is used as a sample to update the dust removal control model.

3. The automatic control method of the electrostatic precipitator system according to claim 1, characterized in that: The method for constructing the dust removal control model includes: Acquire several pieces of historical operating condition data of the electrostatic precipitator system, wherein the operating condition data includes operating data, system stable operating time corresponding to the operating data, and dust removal control parameters corresponding to the operating data; Performing parameter optimization screening on the historical operating condition data; A dust removal control model is constructed, and the operating data in the operating condition data after parameter optimization and screening is used as the input data of the dust removal control model, and the dust removal control parameters in the operating condition data after parameter optimization and screening are used as the output data of the dust removal control model. The constructed dust removal control model is trained to complete the construction of the dust removal control model.

4. The automatic control method of the electrostatic precipitator system according to claim 3 is characterized in that: Several historical operating data of the electrostatic precipitator system are obtained through the DCS system, the analog quantity acquisition unit and the power supply system.

5. The automatic control method of the electrostatic precipitator system according to claim 3 is characterized in that: The specific method for performing parameter optimization screening on the operating condition data includes: First, the abnormal values ​​in the operating condition data are eliminated, and then the operating condition data that meets the optimal energy-saving standard is screened out.

6. The automatic control method of the electrostatic precipitator system according to claim 5, characterized in that: The optimal energy-saving standards include: The operating data in the operating condition data satisfies that the steady-state fluctuation of boiler load and dust concentration at the dust collector inlet does not exceed 5%, the dust concentration at the electrostatic precipitator outlet and the dust concentration at the chimney outlet meet the set value requirements, and the system stable operation time corresponding to the operating data in the operating condition data is greater than or equal to 8 hours.

7. The automatic control method of the electrostatic precipitator system according to claim 1, characterized in that: The dust removal control model adopts a cyclic feedforward neural network model.

8. The automatic control method of the electrostatic precipitator system according to claim 1, characterized in that: The specific method of adopting double closed-loop PID regulation control to track and update the electric dust removal power or current in the dust removal control parameter in real time includes: The dust concentration at the dust collector outlet is collected and compared with the set value, and the first electrostatic precipitator control parameter is obtained through the PID adjustment module. At the same time, the dust concentration at the chimney outlet is collected and compared with the set value, and the second electrostatic precipitator control parameter is obtained through PID adjustment. The first electrostatic precipitator control parameter and the second electrostatic precipitator control parameter are compared with the selector to obtain the final electrostatic precipitator control parameter.

9. The automatic control method of the electrostatic precipitator system according to claim 1, characterized in that: The electrostatic precipitator is provided with a plurality of dust removal channels, each of which is provided with a plurality of vibration electric fields, and each vibration electric field is equipped with a vibration device and an electrostatic precipitator power supply; Step 2) also includes real-time monitoring of the number of operating electrostatic precipitator power supplies of the electrostatic precipitator system, the number of rappers performing step-down rapping, and the current rapping sequence, and performing step-down rapping control based on the number of operating rapping power supplies, the number of rappers performing step-down rapping, and the current rapping sequence.

10. An automatic control system for an electrostatic dust removal system, characterized in that: It includes a data acquisition unit, an intelligent control service unit, a first network communication unit, an intelligent dust removal workstation, a second network communication unit, a DCS system, and an optoelectronic communication unit; the intelligent control service unit is connected to the data acquisition unit, connected to the intelligent dust removal workstation through the first network communication unit, connected to the DCS system through the second network communication unit, and connected to the electrostatic dust removal system through the optoelectronic communication unit; The automatic control system adopts the automatic control method of the electrostatic precipitator system according to any one of claims 1 to 9 to automatically control the electrostatic precipitator system; wherein: The data acquisition unit is used to collect the current operation data of the electrostatic precipitator system and transmit it to the intelligent control service unit, wherein the operation data includes boiler load, dust concentration at the inlet of the electrostatic precipitator, dust concentration at the outlet of the electrostatic precipitator, dust concentration at the chimney outlet, and the number of electrostatic precipitator power supplies in operation; The smart control service unit transmits the received current operation data of the electrostatic dust removal system to the smart dust removal workstation through the first network communication unit; the current operation data of the electrostatic dust removal system received by the smart dust removal workstation The data is input into a pre-built dust removal control model, and the dust removal control parameters output by the dust removal control model are sequentially used to control the electrostatic dust removal system through the first network communication unit, the intelligent control service unit and the optoelectronic communication unit; The intelligent control service unit adopts double closed-loop PID regulation control to track and update the electrostatic precipitator power supply power or current in the dust removal control parameters in real time and control the electrostatic precipitator system through the optoelectronic communication unit.

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