An automatic control method and system of an electrostatic dust removal system

Abstract

The application discloses an automatic control method and system of an electrostatic dust removal system, which combines a neural network control algorithm and a PID regulation control algorithm, takes the neural network control algorithm as preprocessing of electrostatic dust removal system control and initialization processing when the PID regulation control algorithm is out of control, avoids uncontrolled state of the system caused by PID control overshoot or oscillation, and takes the PID regulation control algorithm as real-time tracking regulation of the system, so that the real-time response speed of intelligent control of the system can be effectively improved, thereby ensuring operation stability and response rapidity of the electrostatic dust removal system, and better realizing energy saving and efficiency improvement of the system. On the other hand, the automatic control method combines the two control algorithms, effectively avoids temporary out-of-control of the system caused by too large overshoot of the intelligent control after switching, thereby ensuring stable operation of the electrostatic dust removal system and realizing intelligent control.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of electrostatic dust removal, and particularly relates to an automatic control method and system of an electrostatic dust removal system. BACKGROUND

[0002] Coal power units have the common phenomena of frequent peak regulation and variable coal types, and with the continuous improvement of energy conservation and environmental protection requirements, the power generation cost is also rising. In order to reduce the cost, many coal power units prefer to use a high proportion of coal blending combustion scheme, and the coal blending combustion of multiple coal types brings great challenges to unit operation and pollutant treatment.

[0003] As the core system of flue gas dust removal, the electric dust collector currently mostly adopts manual adjustment of the power operation parameters and the timing control parameters of the rapping and pressure reduction rapping in the mode of artificial on-duty, and due to the strong individual differences of human operation, the device running state stability is weak, the energy consumption is continuously high, and other problems. In addition, with the changes of boiler load, coal quality, smoke temperature and other parameters, the original electrostatic dust collector control system cannot quickly respond to the variability of load and coal quality, and problems such as smoke emission exceeding the standard, large and unstable data fluctuation at the dust collector outlet often occur. The running stability of the electric dust collector not only affects the stability of the desulfurization system, but also directly relates to the smoke environmental protection emission. The environmental protection emission exceeding the standard not only causes serious economic penalties to the power plant, but also brings negative social influence.

[0004] Some researches control the electrostatic dust removal system through a PID controller, and this method is prone to overshoot and oscillation when the load changes sharply, and needs a long time of self-adjustment, thereby causing the emission to exceed the standard, and it is difficult for manual intervention in this case, and the operation personnel are difficult to terminate the automatic control and completely manually adjust the power parameters. Therefore, the PID control is only suitable for fast dynamic adjustment within a certain range and relatively stable tracking adjustment.

[0005] Some researches control the electrostatic dust removal system through an artificial intelligence algorithm, and this method can quickly adjust to the vicinity of the expected value when the load changes sharply, but the dynamic tracking characteristic is slow, and cannot quickly reach the optimal energy-saving control point. SUMMARY

[0006] In order to solve the problems in the prior art, the present application provides an automatic control method and system of an electrostatic dust removal system.

[0007] The technical scheme of the present application is as follows:

[0008] An automatic control method of an electrostatic dust removal system, comprising:

[0009] 1) Collecting current operation data of the electrostatic dust removal system, the operation data including boiler load, dust concentration at the inlet of the electric dust collector, dust concentration at the outlet of the electric dust collector, dust concentration at the chimney outlet, and the number of electric dust removal power sources in operation; inputting the current operation data into a pre-constructed dust removal control model, controlling the electrostatic dust removal 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 electric dust collector and the dust concentration at the chimney outlet of the electrostatic dust removal system in real time; the dust removal control parameters including electric dust removal power, voltage, current and vibration timing;

[0010] 2) When the dust concentration at the outlet of the electric dust collector or the dust concentration at the chimney outlet of the electrostatic dust removal system exceeds the set parameter value, a double closed loop PID adjustment control is adopted to update the electric dust removal power or current in the dust removal control parameters in real time, and when the dust concentration at the outlet of the electric dust collector and the dust concentration at the chimney outlet both meet the requirement of the set parameter value, returning to step 1).

[0011] Further, step 1) further includes monitoring the electric dust removal power after control in real time, and if the electric dust removal power is less than the electric dust removal power before control and the dust concentration at the outlet of the electric dust collector or the dust concentration at the chimney outlet is less than or equal to the set parameter value, using the operation data after control as a sample to update the dust removal control model.

[0012] Further, the construction method of the dust removal control model includes:

[0013] Obtaining a plurality of historical working condition data of the electrostatic dust collector system, the working condition data including operation data, system stable operation time corresponding to the operation data, and dust removal control parameters corresponding to the operation data;

[0014] Optimizing and screening the parameters of the historical working condition data;

[0015] Constructing a dust removal control model, using the operation data in the working condition data after parameter optimization and screening as the input data of the dust removal control model, and using the dust removal control parameters in the working condition data after parameter optimization and screening as the output data of the dust removal control model, training the constructed dust removal control model to complete the construction of the dust removal control model.

[0016] Further, the plurality of historical working condition data of the electrostatic dust collector system is obtained through a DCS system, an analog quantity acquisition unit and a power supply system.

[0017] Further, the specific method of optimizing and screening the parameters of the working condition data includes:

[0018] First, the abnormal values in the working condition data are removed, and then the working condition data meeting the optimal energy saving standard is screened out.

[0019] Further, the optimal energy-saving standard comprises:

[0020] The operation data in the working condition data meet the requirements that the boiler load and the steady-state fluctuation of the dust concentration at the inlet of the dust collector are not more than 5%, the dust concentration at the outlet of the electric dust collector and the dust concentration at the chimney outlet meet the set value requirements, and the system stable operation time corresponding to the operation data in the working condition data is greater than or equal to 8 hours.

[0021] Further, the dust removal control model adopts a recurrent feedforward neural network model.

[0022] Further, the specific method for real-time tracking and updating the electric dust removal power or current in the dust removal control parameter by adopting the double closed-loop PID regulation control comprises:

[0023] The dust concentration at the outlet of the dust collector is compared with the set value to obtain the first electric dust collector control parameter through the PID regulation module, and the dust concentration at the chimney outlet is compared with the set value to obtain the second electric dust collector control parameter through the PID regulation. The first electric dust collector control parameter and the second electric dust collector control parameter are compared by a selector to obtain the final electric dust collector control parameter.

[0024] Further, the electric dust collector 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 provided with a rapping device and an electric dust removal power supply;

[0025] In step 2), the number of electric dust removal power supplies in operation, the number of rapping devices performing pressure reduction rapping, and the current rapping sequence of the electrostatic dust removal system are also monitored in real time, and the pressure reduction rapping control is performed according to the number of rapping power supplies in operation, the number of rapping devices performing pressure reduction rapping, and the current rapping sequence.

[0026] An automatic control system of an electrostatic dust removal system comprises a data acquisition unit, a smart control service unit, a first network communication unit, a smart dust removal workstation, a second network communication unit, a DCS system, and an optoelectronic communication unit. The smart control service unit is connected with the data acquisition unit, connected with the smart dust removal workstation through the first network communication unit, connected with the DCS system through the second network communication unit, and connected with the electrostatic dust removal system through the optoelectronic communication unit.

[0027] The automatic control system adopts the automatic control method of the electrostatic dust removal system as described above to automatically control the electrostatic dust removal system; wherein,

[0028] The data acquisition unit is configured to acquire current operation data of the electrostatic dust removal system and transmit the operation data to the smart control service unit. The operation data includes a boiler load, an electric dust collector inlet dust concentration, an electric dust collector outlet dust concentration, a chimney outlet dust concentration, and an electric dust removal power supply number.

[0029] The intelligent control service unit transmits the received current operation data of the electrostatic dust removal system to the intelligent dust removal workstation through the first network communication unit;The intelligent dust removal workstation receives the current operation data of the electrostatic dust removal system and inputs it into the pre-constructed dust removal control model, and the dust removal control parameters output by the dust removal control model are sequentially controlled to the electrostatic dust removal system through the first network communication unit, the intelligent control service unit and the photoelectric communication unit;

[0030] The intelligent control service unit adopts double closed loop PID regulation control, and real-time tracks and updates the power or current of the electric dust removal power supply in the dust removal control parameter and controls the electrostatic dust removal system through the photoelectric communication unit.

[0031] Compared with the prior art, the present application has the following beneficial effects:

[0032] The present application proposes an automatic control method and system for electrostatic dust removal system, which combines neural network control algorithm and PID regulation control algorithm, uses neural network control algorithm as the preprocessing of electric dust removal system control and the initialization processing when PID regulation control algorithm is out of control, avoids the uncontrolled state caused by PID control overshoot or oscillation, and at the same time, uses PID regulation control algorithm as real-time tracking and adjustment, which can effectively improve the real-time response speed of intelligent control of the system.

[0033] The present application adopts double closed loop PID regulation, and considers the dust removal device outlet and the chimney outlet at the same time, avoids the situation that only tracking the chimney outlet makes it impossible to maximize the use of the desulfurization and denitrification system, and makes the dust removal device consume high energy, or only tracking the dust concentration at the dust removal device outlet causes the dust concentration at the chimney outlet to be possibly substandard.

[0034] The neural network algorithm of the present application uses the operation parameters of the dust removal system to constantly improve the model, improves the optimization degree of the model output operation parameters, shortens the dynamic response process of the system, improves the response speed of the system, and further improves the stability of the system.

[0035] The application also cooperatively controls the rapping control, realizes the step-down rapping control of the electrostatic dust removal system by monitoring the running number of the electric dust removal power supply of the electrostatic dust removal system, the number of rappers for executing the step-down rapping and the current rapping sequence, reduces the influence of the operation of the rapping system on the dust removal efficiency of the electric dust remover, thereby more effectively reducing the secondary dust raising and improving the dust removal efficiency, and simultaneously avoids the increase of energy consumption caused by unnecessary power supply operation power adjustment. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 An automatic control method flow chart of an electrostatic dust removal system;

[0037] Figure 2 A neural network control system structure diagram;

[0038] Figure 3 A double closed loop PID control system structure diagram;

[0039] Figure 4 An automatic control system block diagram of an electrostatic dust removal system. DETAILED DESCRIPTION

[0040] The application will be further described below in combination with specific embodiments and corresponding drawings.

[0041] Embodiment one:

[0042] An automatic control method of an electrostatic dust removal system of the application, as shown in the figure, comprises: Figure 1

[0043] 1) Collecting the current running data of the electrostatic dust removal system, the running data comprising the boiler load, the dust concentration at the inlet of the electric dust remover, the dust concentration at the outlet of the electric dust remover, the dust concentration at the chimney outlet and the number of electric dust removal power supply in operation; inputting the current running data into the dust removal control model which is constructed in advance, controlling the electrostatic dust removal 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 electric dust remover and the dust concentration at the chimney outlet of the electrostatic dust removal system in real time; the dust removal control parameters comprising the power, voltage and current of the electric dust removal power supply and the rapping sequence;

[0044] 2) When the dust concentration at the outlet of the electric dust remover or the dust concentration at the chimney outlet of the electrostatic dust removal system exceeds the set parameter value, a double closed loop PID adjustment controller is adopted to real-time track and update the electric dust removal power supply power or current in the dust removal control parameters, and the dust concentration at the outlet of the electric dust remover and the dust concentration at the chimney outlet of the electrostatic dust removal system are monitored in real time; when the dust concentration at the outlet of the electric dust remover and the dust concentration at the chimney outlet both meet the requirement of the set parameter value, return to step 1).

[0045] Embodiment two:

[0046] ​The embodiment is further designed on the basis of embodiment one, and the embodiment further comprises, in the step 1) of the automatic control method, monitoring the electric dust removal power after the dust removal control parameters output by the dust removal control model are used to control the electrostatic dust removal system in real time, and if the electric dust removal power is less than the electric dust removal power before the control and the dust concentration at the outlet of the electric dust collector or the dust concentration at the chimney outlet is less than or equal to the set parameter value, the running data after the control is used as a sample to update the dust removal control model.

[0047] The further design scheme of the embodiment is specifically described below by using the control flow data of a certain electrostatic dust removal system. The electrostatic dust removal system is controlled by the dust removal control parameters output by the dust removal control model during the stable running time of the system. Part of the running data and part of the dust removal control parameters of the electrostatic dust removal system are shown in the following table.

[0048]

[0049]

[0050] As shown in the above table, the sample with the sample serial number N.002 has the electric dust removal power less than the electric dust removal power of the sample with the sample serial number N.001, and the dust concentration at the outlet of the electric dust collector of the sample meets the set value less than 55 mg / m 3 , and the dust concentration at the chimney outlet meets the set value less than 5 mg / m 3 . Therefore, the sample can be used to update the dust removal control model, to realize self-improvement of the model and to improve the optimization degree of the running parameters output by the model, so that the dynamic response process of the system is shortened, the response speed of the system is improved, and the stability of the system is further improved.

[0051] Embodiment three:

[0052] The embodiment is further designed on the basis of embodiment one, and the embodiment further comprises, in the step 1) of the automatic control method, monitoring the electric dust removal power after the dust removal control parameters output by the dust removal control model are used to control the electrostatic dust removal system in real time, and if the electric dust removal power is less than the electric dust removal power before the control and the dust concentration at the outlet of the electric dust collector or the dust concentration at the chimney outlet is less than or equal to the set parameter value, the running data after the control is used as a sample to update the dust removal control model. Figure 2 The construction method of the dust removal control model comprises the following steps.

[0053] A plurality of historical working condition data of the electrostatic dust removal system are acquired, the working condition data comprising running data, system stable running time corresponding to the running data and dust removal control parameters corresponding to the running data. The historical working condition data can be acquired through a DCS system, an analog quantity acquisition unit and a power supply system.

[0054] The historical working condition data are subjected to parameter optimization and screening.

[0055] The operation data in the working condition data after parameter optimization and screening is taken 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 taken as the output data of the dust removal control model. The dust removal control model is trained to complete the construction of the dust removal control model.

[0056] Embodiment Four

[0057] The embodiment is further designed on the basis of Embodiment Three, and the specific method for parameter optimization and screening of the working condition data in this embodiment includes:

[0058] The abnormal values in the working condition data are first removed, and then the working condition data meeting the optimal energy-saving standard is screened out. The optimal energy-saving standard includes:

[0059] The operation data in the working condition data meets the requirements that the steady-state fluctuations of the boiler load and the dust concentration at the inlet of the dust remover are not more than 5%, the dust concentrations at the outlet of the electric dust remover and the chimney outlet meet the set value requirements, and the system stable operation time corresponding to the operation data in the working condition data is greater than or equal to 8 hours.

[0060] Embodiment Five

[0061] The embodiment is further designed on the basis of Embodiment One, and the specific method for real-time tracking and updating of the electric dust removal power or current in the dust removal control parameters in this embodiment includes:

[0062] As shown in Figure 3 , the dust concentration at the outlet of the dust remover is compared with the set value to obtain the first electric dust remover control parameter (the first electric dust removal power and the first current) through the PID adjustment module. At the same time, the dust concentration at the chimney outlet (the total dust concentration at the chimney outlet, the concentration of the gas discharged from the chimney outlet after desulfurization and denitrification treatment) is compared with the set value to obtain the second electric dust remover control parameter (the second electric dust removal power and the second current) through the PID adjustment. The first electric dust remover control parameter and the second electric dust remover control parameter obtain the final electric dust remover control parameter through the comparison selector.

[0063] The comparison selection standard of the comparison selector can use the existing method or the following method:

[0064] The final electric dust removal power and the final current are obtained, and the final electric dust removal power or the final current is selected as the final electric dust remover control parameter according to the electric dust remover power operation mode; wherein, for the electric dust remover in the manual continuous mode, the final electric dust removal power is taken as the final electric dust remover control parameter, and for the electric dust remover in the automatic continuous mode, the final current is taken as the final electric dust remover control parameter.

[0065] The final electric dust removal power and the final current can be obtained in the following two ways:

[0066] Method one: for the electrostatic precipitator system whose dust concentration at the outlet exceeds the set parameter value, the smaller value of the first electric dust removal control parameter and the second electric dust removal control parameter is selected as the final electric dust removal control parameter (the final electric dust removal power and the final current); for the electrostatic precipitator system whose dust concentration at the chimney outlet exceeds the set parameter value, the larger value of the first electric dust removal control parameter and the second electric dust removal control parameter is selected as the final electric dust removal control parameter (the final electric dust removal power and the final current).

[0067] Method two: the first electric dust removal control parameter and the second electric dust removal control parameter are weighted and summed to obtain the final electric dust removal control parameter (the final electric dust removal power and the final current), wherein the weighted sum can be performed according to the following formula:

[0068] P = n1*P1 + n2*P2

[0069] I = m1*I1 + m2*I2

[0070] In the formula, P is the final electric dust removal power; P1 and P2 are the first electric dust removal power and the second electric dust removal power, respectively; n1 and n2 are the weights of the first electric dust removal power and the second electric dust removal 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.

[0071] Embodiment six:

[0072] The embodiment is further designed on the basis of embodiment one, that is, in this embodiment, the electric dust removal device is provided with a plurality of dust removal channels, and each dust removal channel is provided with a plurality of rapping electric fields, and each rapping electric field is provided with a rapping device and an electric dust removal power supply;

[0073] In step 2), the number of electric dust removal power supplies in operation, the number of rapping devices performing pressure reduction rapping, and the current rapping sequence of the electrostatic precipitator system are also monitored in real time, and the pressure reduction rapping control is performed according to the number of rapping power supplies in operation, the number of rapping devices performing pressure reduction rapping, and the current rapping sequence. The pressure reduction rapping control can be performed by using the existing method or the following method:

[0074] a. Real-time monitoring of the number of electric dust removal power supplies in operation and the number of fault power supplies, and if the number of fault power supplies exceeds the protection threshold, the pressure reduction rapping is not performed during rapping;

[0075] b. Real-time monitoring of the number of rapping devices performing pressure reduction rapping, and if the number of rapping devices performing pressure reduction rapping is greater than the set value, the rapping device performing pressure reduction rapping is not added;

[0076] c. Analyze the current rapping sequence and determine whether the electric field can be reduced voltage rapping. The determination includes whether the logic operation needs to be performed to reduce voltage rapping, the current rapper status, the current power supply status of the electrostatic precipitator, the time of the previous reduced voltage rapping, and whether reduced voltage rapping is allowed.

[0077] d. If a rapper performing voltage reduction rapping no longer meets the voltage reduction rapping conditions, a voltage reduction termination command will be issued immediately.

[0078] Example 7:

[0079] An automatic control system for an electrostatic dust removal system according to the present invention, such as Figure 4 As shown, the system includes a data acquisition unit, a smart control service unit, a first network communication unit, a smart dust removal workstation, a second network communication unit, a DCS system, and a photoelectric communication unit. The data acquisition unit specifically includes a digital acquisition unit for status feedback and hard-wired control, and an analog acquisition unit composed of a turbidity meter and a temperature sensor. The smart control service unit is connected to the data acquisition unit, connected to the smart dust removal workstation via the first network communication unit (network communication unit 1), connected to the DCS system via the second network communication unit (network communication unit 2), and connected to the electrostatic precipitator system via the photoelectric communication unit. The electrostatic precipitator system includes a rapping system, a heating system, and a power supply system. In this example, the smart dust removal workstation serves as the human-machine interface, including a menu bar, homepage, high-pressure screen, rapping screen, ash hopper screen, smart control screen, historical curve screen, alarm information screen, and communication screen, enabling the storage and analysis of historical data and the optimization of preset control parameters. The first network communication unit, the second network communication unit, and the smart control service unit are implemented simultaneously by a single device to improve collaborative data processing and intelligent control response speed. The optoelectronic communication unit uses RS485 serial communication and adopts the industry-standard ModBusRTU communication protocol. The analog signal acquisition module can process both 0-5V and 4-20mA signals. The digital signal acquisition unit adopts a dry junction configuration.

[0080] This example further differentiates the control method of the present invention based on the above system composition. The neural network algorithm is arranged in the intelligent dust removal workstation, and the dual closed-loop PID control is arranged 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 makes it easy to realize the sharing and collaborative processing of relevant data, and also improves the dynamic response speed of real-time control.

[0081] The automatic control system of the present invention employs the automatic control method of the electrostatic dust removal system of the present invention to automatically control the electrostatic dust removal system; wherein,

[0082] A data acquisition unit is configured to acquire current operation data of the electrostatic dust removal system and transmit the current operation data to the intelligent control service unit. The operation data includes a boiler load, an inlet dust concentration of the electric dust collector, an outlet dust concentration of the electric dust collector, a chimney exhaust dust concentration, and a number of electric dust removal power sources in operation.

[0083] The intelligent control service unit transmits the received current operation data of the electrostatic dust removal system to the intelligent dust removal workstation through the first network communication unit. The intelligent dust removal workstation inputs the received current operation data of the electrostatic dust removal system into the pre-constructed dust removal control model, and controls the electrostatic dust removal system according to dust removal control parameters output by the dust removal control model through the first network communication unit, the intelligent control service unit, and the photoelectric communication unit in sequence.

[0084] The intelligent control service unit adopts a double closed loop PID regulator to real-time track and update the electric dust removal power or current in the dust removal control parameters and control the electrostatic dust removal system through the photoelectric communication unit.

Claims

1. An automatic control method for an electrostatic dust removal system, characterized in that: include: 1) Collect the current operating data of the electrostatic precipitator system, 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; input the current operating data into a pre-built dust removal control model, control the electrostatic precipitator system according to the dust removal control parameters output by the dust removal control model, and monitor 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 the power, voltage, current, and rapping sequence 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 dual closed-loop PID 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 both the dust concentration at the outlet of the electrostatic precipitator and the dust concentration at the chimney outlet meet the set parameter value requirements, return to step 1). The specific method for employing dual 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: The dust concentration at the outlet of the electrostatic precipitator is compared with the set value to obtain the first control parameter of the electrostatic precipitator through the PID adjustment module. At the same time, the dust concentration at the chimney outlet is compared with the set value and then the second control parameter of the electrostatic precipitator is obtained through PID adjustment. The first control parameter of the electrostatic precipitator and the second control parameter of the electrostatic precipitator are compared with the set value to obtain the final dust removal control parameter. The electrostatic precipitator is equipped with several dust removal channels, each dust removal channel is equipped with several rapping electric fields, and each rapping electric field is equipped with a rapper and an electrostatic precipitator power supply. Step 2) also includes real-time monitoring of the number of operating electrostatic precipitator power supplies, the number of rappers performing voltage reduction rapping, and the current rapping sequence of the electrostatic precipitator system, and voltage reduction rapping control based on the number of operating rapping power supplies, the number of rappers performing voltage reduction rapping, and the current rapping sequence.

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

3. The automatic control method for the electrostatic dust removal system according to claim 1, characterized in that: The method for constructing the dust removal control model includes: Acquire several historical operating condition data of the electrostatic precipitator system, including operating data, the system stable operating time corresponding to the operating data, and the dust removal control parameters corresponding to the operating data. The historical operating data is then optimized and filtered for parameters. A dust removal control model is constructed by using the operational data from the optimized and filtered operating data as the input data and the dust removal control parameters from the optimized and filtered operating data as the output data. The constructed dust removal control model is then trained to complete the construction of the dust removal control model.

4. The automatic control method for the electrostatic dust removal system according to claim 3, characterized in that: Several historical operating condition data points of the electrostatic precipitator system are acquired through the DCS system, analog signal acquisition unit, and power supply system.

5. The automatic control method for the electrostatic dust removal system according to claim 3, characterized in that: The specific method for parameter optimization and filtering of the operating condition data includes: First, remove abnormal values ​​from the operating condition data, and then filter out the operating condition data that meets the optimal energy-saving standard.

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

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

8. 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 employs the automatic control method for the electrostatic precipitator system according to any one of claims 1 to 7 to automatically control the electrostatic precipitator system; wherein... 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 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 intelligent control service unit transmits the received current operating data of the electrostatic precipitator system to the intelligent dust removal workstation through the first network communication unit; the intelligent dust removal workstation inputs the received current operating data of the electrostatic precipitator system into the pre-constructed dust removal control model, and controls the electrostatic precipitator system by sequentially transmitting the dust removal control parameters output by the dust removal control model through the first network communication unit, the intelligent control service unit, and the photoelectric communication unit; The intelligent control service unit adopts dual closed-loop PID regulation control, tracks and updates the electrostatic precipitator power or current in the dust removal control parameters in real time, and controls the electrostatic precipitator system through the photoelectric communication unit.

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