Flue gas ultra-low emission management control method and device for electric furnace operation process
By acquiring historical data to calculate the delayed treatment time of flue gas and dynamically adjusting the parameters of environmental protection equipment, the problem of lag in the treatment of electric furnace flue gas has been solved, ultra-low emission management of electric furnace flue gas has been achieved, and the pollution control effect of environmental protection equipment has been improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- WUGANG GRP XIANGYANG HEAVY EQUIP MATERIALS CO LTD
- Filing Date
- 2022-11-16
- Publication Date
- 2026-06-02
AI Technical Summary
Existing environmental protection equipment lags behind in the treatment of electric furnace flue gas, resulting in the inability to maintain ultra-low emissions throughout the entire process and poor pollution control.
By acquiring historical operating parameter data, calculating the flue gas delay treatment time, and dynamically adjusting the parameters of environmental protection equipment based on the prediction model and mapping table, the parameters of environmental protection equipment can be adjusted in advance to adapt to changes in the operating status of the electric furnace, thereby achieving ultra-low emissions.
It enables real-time dynamic control of flue gas, ensuring that the environmental protection equipment maintains ultra-low emissions during the operation of the electric furnace, thus improving the pollution control effect.
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Figure CN115823897B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of automatic control technology, and more specifically, to a method and apparatus for ultra-low emission management and control of flue gas applicable to the operation of electric furnaces. Background Technology
[0002] In the industrial production process of electric arc furnace smelting, high-temperature flue gas rich in harmful gases such as silica dust and sulfur dioxide is typically generated. To prevent further deterioration of air pollution, the flue gas needs to be treated to meet ultra-low emission requirements. Generally, electric arc furnaces are equipped with three major environmental protection devices: denitrification, dust removal, and desulfurization, to remove nitrates, dust, and sulfides respectively. However, in actual operation, the working state of the electric arc furnace cannot remain stable but fluctuates, resulting in fluctuations in the total amount of flue gas produced, necessitating adjustments to the operating parameters of the environmental protection equipment. Currently, however, environmental protection equipment typically only adjusts its operating parameters when it detects that the content of harmful gases in the flue gas passing through the equipment exceeds the standard, resulting in a lag. This means that the flue gas emission process cannot maintain ultra-low emissions throughout, leading to ineffective pollution control of the emitted flue gas. Summary of the Invention
[0003] To address the aforementioned problems, this invention provides a method and apparatus for ultra-low emission management and control of flue gas applicable to the operation of electric furnaces.
[0004] In a first aspect, the present invention provides a method for ultra-low emission management and control of flue gas applicable to the operation of an electric furnace, the method comprising:
[0005] Acquire historical operating parameter data, which includes historical electric furnace operating parameter data and historical environmental protection equipment operating parameter data;
[0006] Based on the historical operating parameter data, the flue gas delay treatment time of each environmental protection device relative to the electric furnace is calculated respectively;
[0007] When the real-time operating parameter data of the electric furnace changes, the adjustment value of the environmental protection equipment parameters is determined, and each of the environmental protection equipment is adjusted based on the flue gas delay treatment time and the adjustment value of the environmental protection equipment parameters.
[0008] Preferably, the step of calculating the flue gas delay treatment time of each environmental protection device relative to the electric furnace based on the historical operating parameter data includes:
[0009] Calculate the time delay between the change in the historical operating parameter data of the electric furnace and the change in the operating parameter data of the historical environmental protection equipment for each environmental protection device;
[0010] The processing time of each of the environmental protection devices is obtained, and the difference between the delay time and the processing time is calculated to obtain the flue gas delay processing time.
[0011] Preferably, determining the environmental protection equipment parameter adjustment value when the real-time electric furnace operating parameter data changes includes:
[0012] When the real-time operating parameter data of the electric furnace changes, obtain the parameter prediction model corresponding to each of the environmental protection devices.
[0013] The real-time electric furnace operating parameter data is imported into the parameter prediction model to obtain the environmental protection equipment parameter prediction value;
[0014] The adjustment value of the environmental protection equipment parameters is calculated based on the estimated value of the environmental protection equipment parameters and the current environmental protection equipment parameters.
[0015] Preferably, the step of adjusting each of the environmental protection devices based on the flue gas delay treatment time and the environmental protection equipment parameter adjustment value includes:
[0016] The effective duration of the environmental protection equipment parameter adjustment values is determined based on a preset mapping table;
[0017] The actual delay processing time is obtained by calculating the difference between the flue gas delay processing time and the effective time.
[0018] After the actual delay processing time, the environmental protection equipment is adjusted based on the environmental protection equipment parameter adjustment value.
[0019] Preferably, the method further includes:
[0020] When the cumulative duration of a single instance where the current environmental protection equipment parameters exceed the preset critical parameter value exceeds the preset duration, an adjustment command is sent to the electric furnace to adjust the current electric furnace parameters, thereby reducing the capacity of the electric furnace.
[0021] Secondly, the present invention provides an ultra-low emission management and control device for flue gas suitable for the operation of an electric furnace, the device comprising:
[0022] The acquisition module is used to acquire historical operating parameter data, which includes historical electric furnace operating parameter data and historical environmental protection equipment operating parameter data;
[0023] The calculation module is used to calculate the flue gas delay treatment time of each environmental protection device relative to the electric furnace based on the historical operating parameter data.
[0024] The control module is used to determine the adjustment value of the environmental protection equipment parameters when the real-time electric furnace operating parameter data changes, and to control each of the environmental protection equipment based on the flue gas delay treatment time and the environmental protection equipment parameter adjustment value.
[0025] Thirdly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method provided as in the first aspect or any possible implementation of the first aspect.
[0026] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method provided as in the first aspect or any possible implementation thereof.
[0027] The beneficial effects of this invention are as follows: by real-time monitoring of the circuit operation status, the parameters that need to be adjusted for each environmental protection device and the time for parameter adjustment are estimated and calculated, thereby dynamically controlling the entire emission process, ensuring that the current state of the environmental protection device can achieve ultra-low emissions for the flue gas passing through it, and achieving good pollution control effect on the emitted flue gas. Attached Figure Description
[0028] Figure 1 This is a schematic flowchart of the flue gas ultra-low emission management and control method for electric furnace operation according to the present invention;
[0029] Figure 2 This is a schematic diagram of the ultra-low emission management and control device for flue gas during the operation of an electric furnace according to the present invention.
[0030] Figure 3 This is a schematic diagram of the structure of an electronic device provided by the present invention. Detailed Implementation
[0031] See Figure 1 , Figure 1 This is a schematic flowchart illustrating a method for ultra-low emission management and control of flue gas during electric furnace operation, provided in an embodiment of this application. In this embodiment, the method includes:
[0032] S101. Obtain historical operating parameter data, which includes historical electric furnace operating parameter data and historical environmental protection equipment operating parameter data.
[0033] The entity executing this application may be a cloud server.
[0034] In this embodiment, the electric furnace and environmental protection equipment are considered as a single electric furnace system. During operation, the electric furnace system generates historical operating parameter data. This historical operating parameter data includes historical operating data of the electric furnace and historical operating data of the environmental protection equipment. To determine the delay processing status of the electric furnace system under current conditions, the historical operating parameter data will be acquired first.
[0035] S102. Based on the historical operating parameter data, calculate the flue gas delay treatment time of each environmental protection device relative to the electric furnace.
[0036] In this embodiment, based on historical operating parameter data, the timing of fluctuations in the electric furnace parameters and the time required for each environmental protection device to adjust its parameters to improve flue gas treatment efficiency after the electric furnace parameters fluctuate can be analyzed and determined. By analyzing historical operating parameter data, the time required for each environmental protection device to adjust its parameters to adapt to changes in flue gas volume after the electric furnace parameters fluctuate can be calculated, i.e., the flue gas delayed treatment time.
[0037] In one possible implementation, step S102 includes:
[0038] Calculate the time delay between the change in the historical operating parameter data of the electric furnace and the change in the operating parameter data of the historical environmental protection equipment for each environmental protection device;
[0039] The processing time of each of the environmental protection devices is obtained, and the difference between the delay time and the processing time is calculated to obtain the flue gas delay processing time.
[0040] In this embodiment, the electric furnace does not fluctuate constantly; it operates smoothly most of the time. This allows for easy identification of the location of fluctuations using historical data, enabling the determination of the delay between changes in historical furnace operating parameters and changes in historical environmental protection equipment operating parameters. Considering that historical data shows environmental protection equipment parameters are only adjusted after exceeding the limit for harmful gas content at the equipment outlet, to achieve the proactive early adjustment effect of this application, parameter adjustment should be completed at the moment the flue gas enters the equipment. Therefore, the equipment processing time required for conventional environmental protection equipment treatment needs to be subtracted to finally obtain the flue gas delayed treatment time.
[0041] S103. When the real-time electric furnace operating parameter data changes, determine the environmental protection equipment parameter adjustment value, and adjust each of the environmental protection equipment based on the flue gas delay treatment time and the environmental protection equipment parameter adjustment value.
[0042] In this embodiment, after calculating and determining the flue gas delay treatment time, it is not necessary to wait until the content of harmful gases in the flue gas discharged by the environmental protection equipment is still high before making passive adjustments, which would result in an interval time that cannot guarantee ultra-low emissions. Instead, the parameter values that the environmental protection equipment needs to be adjusted can be determined in advance when the real-time electric furnace operating parameter data changes, and the time required to adjust the values can be actively estimated based on the flue gas delay treatment time, so as to ensure that ultra-low emissions are achieved throughout the entire production process.
[0043] In one possible implementation, determining the environmental protection equipment parameter adjustment value when the real-time electric furnace operating parameter data changes includes:
[0044] When the real-time operating parameter data of the electric furnace changes, obtain the parameter prediction model corresponding to each of the environmental protection devices.
[0045] The real-time electric furnace operating parameter data is imported into the parameter prediction model to obtain the environmental protection equipment parameter prediction value;
[0046] The adjustment value of the environmental protection equipment parameters is calculated based on the estimated value of the environmental protection equipment parameters and the current environmental protection equipment parameters.
[0047] In this embodiment, parameter prediction models can be pre-trained for the electric furnace and each environmental protection device. These models will be used to predict the parameter values required for the environmental protection devices to achieve ultra-low emissions based on the real-time parameter values of the electric furnace. Specifically, this parameter prediction model can employ a CNN neural network convolutional model, trained using historical data as the training set. After obtaining the predicted parameter values for the environmental protection devices, combined with the current parameters, the necessary adjustment values for the environmental protection device parameters can be calculated.
[0048] In one possible implementation, the step of adjusting each of the environmental protection devices based on the flue gas delay treatment time and the environmental protection device parameter adjustment value includes:
[0049] The effective duration of the environmental protection equipment parameter adjustment values is determined based on a preset mapping table;
[0050] The actual delay processing time is obtained by calculating the difference between the flue gas delay processing time and the effective time.
[0051] After the actual delay processing time, the environmental protection equipment is adjusted based on the environmental protection equipment parameter adjustment value.
[0052] In this embodiment, a mapping table is pre-set, which sets the mapping relationship between the environmental protection equipment parameter adjustment values determined by previous simulation tests and the effective time elapsed after the actual performance change of the equipment to meet the requirements. To ensure that the performance of the environmental protection equipment has been adjusted to meet the standards when the flue gas enters the equipment, the parameters should be adjusted in advance of the effective time, that is, the parameters of the environmental protection equipment should be adjusted after the actual delay processing time has elapsed since the real-time parameters of the electric furnace change.
[0053] In one possible implementation, the method further includes:
[0054] When the cumulative duration of a single instance where the current environmental protection equipment parameters exceed the preset critical parameter value exceeds the preset duration, an adjustment command is sent to the electric furnace to adjust the current electric furnace parameters, thereby reducing the capacity of the electric furnace.
[0055] In this embodiment, considering that the environmental protection equipment may operate under load for a long time in order to ensure ultra-low emissions, and in order to ensure the service life of the environmental protection equipment, if the current environmental protection equipment parameters exceed the critical parameter values for a long time, an adjustment command will be sent to the electric furnace to temporarily reduce the capacity of the electric furnace by adjusting the electric furnace parameters, thereby reducing the amount of flue gas generated and reducing the load on the environmental protection equipment.
[0056] The following will be combined with the appendix Figure 2 This application provides a detailed description of the ultra-low emission management and control device for flue gas applicable to the operation of an electric furnace, as provided in the embodiments of this application. It should be noted that the appendix... Figure 2 The ultra-low emission management and control device for flue gas applicable to the operation of an electric furnace shown herein is used to implement the present application. Figure 1 The methods shown in the embodiments are for illustrative purposes only, illustrating the parts relevant to the embodiments of this application. For specific technical details not disclosed, please refer to this application. Figure 1 The example shown.
[0057] Please see Figure 2 , Figure 2 This is a schematic diagram of a flue gas ultra-low emission management and control device suitable for the operation of an electric furnace, provided in an embodiment of this application. Figure 2 As shown, the device includes:
[0058] The acquisition module 201 is used to acquire historical operating parameter data, which includes historical electric furnace operating parameter data and historical environmental protection equipment operating parameter data.
[0059] Calculation module 202 is used to calculate the flue gas delay treatment time of each environmental protection device relative to the electric furnace based on the historical operating parameter data;
[0060] The control module 203 is used to determine the adjustment value of the environmental protection equipment parameters when the real-time electric furnace operating parameter data changes, and to control each of the environmental protection equipment based on the flue gas delay treatment time and the environmental protection equipment parameter adjustment value.
[0061] In one possible implementation, the computing module 202 includes:
[0062] The first calculation unit is used to calculate the delay time between the change of the historical electric furnace operating parameter data and the change of the historical environmental protection equipment operating parameter data for each environmental protection device.
[0063] The second calculation unit is used to obtain the equipment processing time of each of the environmental protection devices, calculate the difference between the delay time and the equipment processing time, and obtain the flue gas delay processing time.
[0064] In one possible implementation, the control module 203 includes:
[0065] The model acquisition unit is used to acquire the parameter prediction model corresponding to each of the environmental protection devices when the real-time electric furnace operating parameter data changes.
[0066] The import unit is used to import the real-time electric furnace operating parameter data into the parameter prediction model to obtain the environmental protection equipment parameter prediction value.
[0067] The third calculation unit is used to calculate the adjustment value of the environmental protection equipment parameters based on the estimated value of the environmental protection equipment parameters and the current environmental protection equipment parameters.
[0068] In one possible implementation, the control module 203 further includes:
[0069] The determining unit is used to determine the effective duration of the environmental protection equipment parameter adjustment value based on a preset mapping table;
[0070] The fourth calculation unit is used to calculate the difference between the flue gas delay processing time and the effective time to obtain the actual delay processing time;
[0071] The control unit is used to control the environmental protection equipment based on the adjustment value of the environmental protection equipment parameters after the actual delay processing time.
[0072] In one possible implementation, the device includes:
[0073] The sending module is used to send an adjustment command to the electric furnace when the cumulative duration of a single instance of the current environmental protection equipment parameters exceeding a preset critical parameter value exceeds a preset duration, so as to adjust the current electric furnace parameters and reduce the production capacity of the electric furnace.
[0074] Those skilled in the art will clearly understand that the technical solutions of the embodiments of this application can be implemented by means of software and / or hardware. In this specification, "unit" and "module" refer to software and / or hardware that can independently complete or cooperate with other components to complete a specific function, wherein the hardware may be, for example, a field-programmable gate array (FPGA), an integrated circuit (IC), etc.
[0075] Each processing unit and / or module in this embodiment can be implemented by an analog circuit that implements the functions described in the embodiments of this application, or by software that executes the functions described in the embodiments of this application.
[0076] See Figure 3 It shows a schematic diagram of the structure of an electronic device according to an embodiment of this application, which can be used to implement... Figure 1 The method in the illustrated embodiment. (As shown) Figure 3 As shown, the electronic device 300 may include: at least one central processing unit 301, at least one network interface 304, user interface 303, memory 305, and at least one communication bus 302.
[0077] The communication bus 302 is used to enable communication between these components.
[0078] The user interface 303 may include a display screen and a camera. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.
[0079] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).
[0080] The central processing unit 301 may include one or more processing cores. The central processing unit 301 connects to various parts within the electronic device 300 using various interfaces and lines. It executes various functions of the terminal and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by calling data stored in the memory 305. Optionally, the central processing unit 301 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The central processing unit 301 may integrate one or a combination of several of the following: a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), and a modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display on the screen; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the central processing unit 301 and may be implemented as a separate chip.
[0081] The memory 305 may include random access memory (RAM) or read-only memory. Optionally, the memory 305 may include a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 305 may also be at least one storage device located remotely from the aforementioned central processing unit 301. Figure 3 As shown, the memory 305, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and program instructions.
[0082] exist Figure 3 In the illustrated electronic device 300, the user interface 303 is mainly used to provide an input interface for the user and to acquire user input data; while the central processing unit 301 can be used to call the flue gas ultra-low emission management and control application stored in the memory 305, which is applicable to the operation of the electric furnace, and specifically perform the following operations:
[0083] Acquire historical operating parameter data, which includes historical electric furnace operating parameter data and historical environmental protection equipment operating parameter data;
[0084] Based on the historical operating parameter data, the flue gas delay treatment time of each environmental protection device relative to the electric furnace is calculated respectively;
[0085] When the real-time operating parameter data of the electric furnace changes, the adjustment value of the environmental protection equipment parameters is determined, and each of the environmental protection equipment is adjusted based on the flue gas delay treatment time and the adjustment value of the environmental protection equipment parameters.
[0086] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method. The computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, DVDs, CD-ROMs, microdrives, as well as magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic cards or optical cards, nanosystems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and / or data.
[0087] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.
[0088] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.
[0089] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between devices or units may be electrical or other forms.
[0090] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0091] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0092] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.
[0093] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, which may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.
[0094] The above description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Those skilled in the art will readily conceive of embodiments of this disclosure upon considering the specification and practicing the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described herein. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.
Claims
1. A flue gas ultra-low emission management control method suitable for the operation process of an electric furnace, characterized in that, The method includes: Acquire historical operating parameter data, which includes historical electric furnace operating parameter data and historical environmental protection equipment operating parameter data; Based on the historical operating parameter data, the flue gas delay treatment time of each environmental protection device relative to the electric furnace is calculated respectively; When the real-time operating parameter data of the electric furnace changes, the adjustment value of the environmental protection equipment parameters is determined, and each of the environmental protection equipment is controlled based on the flue gas delay treatment time and the adjustment value of the environmental protection equipment parameters. The calculation of the flue gas delay treatment time of each environmental protection device relative to the electric furnace, based on the historical operating parameter data, includes: Calculate the time delay between the change in the historical operating parameter data of the electric furnace and the change in the operating parameter data of the historical environmental protection equipment for each environmental protection device; The processing time of each of the environmental protection devices is obtained, and the difference between the delay time and the processing time is calculated to obtain the flue gas delay processing time.
2. The method of claim 1, wherein, When the real-time operating parameter data of the electric furnace changes, the method for determining the adjustment value of the environmental protection equipment parameters includes: When the real-time operating parameter data of the electric furnace changes, obtain the parameter prediction model corresponding to each of the environmental protection devices. The real-time electric furnace operating parameter data is imported into the parameter prediction model to obtain the environmental protection equipment parameter prediction value; The adjustment value of the environmental protection equipment parameters is calculated based on the estimated value of the environmental protection equipment parameters and the current environmental protection equipment parameters.
3. The method of claim 1, wherein, The method of adjusting each of the environmental protection devices based on the flue gas delay treatment time and the environmental protection equipment parameter adjustment value includes: The effective duration of the environmental protection equipment parameter adjustment values is determined based on a preset mapping table; The actual delay processing time is obtained by calculating the difference between the flue gas delay processing time and the effective time. After the actual delay processing time, the environmental protection equipment is adjusted based on the environmental protection equipment parameter adjustment value.
4. The method of claim 1, wherein, The method further includes: When the cumulative duration of a single instance where the current environmental protection equipment parameters exceed the preset critical parameter value exceeds the preset duration, an adjustment command is sent to the electric furnace to adjust the current electric furnace parameters, thereby reducing the capacity of the electric furnace.
5. A flue gas ultra-low emission management control device suitable for use in the operation of an electric furnace, characterized by, The device includes: The acquisition module is used to acquire historical operating parameter data, which includes historical electric furnace operating parameter data and historical environmental protection equipment operating parameter data; The calculation module is used to calculate the flue gas delay treatment time of each environmental protection device relative to the electric furnace based on the historical operating parameter data. The control module is used to determine the adjustment value of the environmental protection equipment parameters when the real-time electric furnace operating parameter data changes, and to control each of the environmental protection equipment based on the flue gas delay treatment time and the environmental protection equipment parameter adjustment value.
6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-4.
7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1-4.