CN107576210B - Control device for ore-smelting electric furnace - Google Patents
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Abstract
The disclosure provides a control device of an ore-smelting electric furnace, belonging to the technical field of smelting. This ore smelting electric furnace controlling means includes: the comprehensive index calculation module is configured to calculate and obtain a comprehensive optimization index according to the electrode voltage, the electrode resistance, the preset temperature and the actually measured metal temperature; and the optimal value solving module is configured to obtain an optimal voltage value and an optimal resistance value according to the comprehensive optimization index. According to the method, the comprehensive optimization index is calculated, the optimal voltage value and the optimal resistance value are further calculated according to the comprehensive optimization index, so that the ore-smelting electric furnace can be subjected to online optimization control by taking the obtained optimal voltage value and the obtained optimal resistance value as control parameters, the product quality and the operation stability of equipment are improved, and the energy consumption is reduced.
Description
Technical Field
The disclosure relates to the technical field of smelting, in particular to a control device of an ore-smelting electric furnace.
Background
An ore-smelting electric furnace is an important smelting device, which takes high-resistivity ore as a raw material, and generally buries the lower part of an electrode in materials (charging materials for short) in the electric furnace in the working process. The heating principle is as follows: the metal is melted by the heat generated by the resistance of the charge when the current passes through the charge and the heat generated by the arc between the electrode and the charge, which generates energy due to the resistance of the charge.
In the using process, the operation level of the ore-smelting electric furnace determines the indexes such as product quality, energy consumption, operation stability and the like. The control parameters such as voltage, electrode impedance and the like of the ore-smelting electric furnace are usually determined by operators through experience, so that the dependence degree on workers is too high, the control method cannot be popularized in a large range, and the control performance cannot be guaranteed.
Therefore, there is still a need for improvement in the prior art solutions.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The purpose of the disclosure is to provide a control device for an ore-smelting electric furnace, and further to overcome the problems that the degree of dependence on workers in the prior art is too high and the control performance cannot be guaranteed to a certain extent.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be learned by practice of the disclosure.
According to an aspect of the present disclosure, there is provided a submerged arc furnace control apparatus including:
the comprehensive index calculation module is configured to calculate and obtain a comprehensive optimization index according to the electrode voltage, the electrode resistance, the preset temperature and the actually measured metal temperature;
and the optimal value solving module is configured to obtain an optimal voltage value and an optimal resistance value according to the comprehensive optimization index.
In an exemplary embodiment of the present disclosure, the synthetic index calculation module includes:
the thermal balance index calculation submodule is configured to calculate a thermal balance index according to the electrode voltage, the electrode resistance and the heating power, and the calculation formula is as follows:
wherein Index1 is a thermal balance Index, U is an electrode voltage, R is an electrode resistance, and P is a heating power required to be consumed by melting materials added into the electric furnace.
In an exemplary embodiment of the disclosure, the synthetic index calculation module further includes:
the heat distribution index calculation submodule is configured to calculate a heat balance index according to the preset temperature, the actually measured metal temperature and the electrode resistance, and the calculation formula is as follows:
wherein the Index2 is a heat distribution index, T c For the actual measured metal temperature, T s Is a preset temperature.
In an exemplary embodiment of the present disclosure, the synthetic index calculation module further includes:
the electric fluctuation index calculation submodule is configured to calculate an electric fluctuation index according to the electrode voltage and the electrode resistance, and the calculation formula is as follows:
where Index3 is an electrical fluctuation Index.
In an exemplary embodiment of the present disclosure, the synthetic index calculation module further includes:
the weighting calculation submodule is configured to calculate the comprehensive optimization index according to the thermal balance index, the thermal distribution index and the electrical fluctuation index, and the calculation formula is as follows:
Index＝min{K1*Index1+K2*Index2+K3*Index3}，
wherein Index is a comprehensive optimization Index, K1, K2 and K3 are all weighting coefficients, and K1, K2 and K3 belong to (0, 1).
In an exemplary embodiment of the disclosure, the optimal value solving module obtains, according to the comprehensive optimization index in combination with a preset value range of the electrode voltage and a preset value range of the electrode resistance, the electrode voltage when the comprehensive optimization index is minimum as the optimal voltage value, and obtains the resistance voltage when the comprehensive optimization index is minimum as the optimal resistance value.
According to the ore-smelting electric furnace control device provided by some embodiments of the disclosure, the optimal voltage value and the optimal resistance value are obtained by calculating the comprehensive optimization index and further calculating according to the comprehensive optimization index, so that the ore-smelting electric furnace can be subjected to online optimization control by taking the obtained optimal voltage value and optimal resistance value as control parameters, the product quality and the operation stability of equipment are improved, and the energy consumption is reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It should be apparent that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived by those of ordinary skill in the art without inventive effort.
Fig. 1 shows a schematic diagram of a control device for a submerged arc furnace provided in a first embodiment of the present disclosure.
Fig. 2 shows a schematic view of a control apparatus for a submerged arc furnace provided in a second embodiment of the present disclosure.
Fig. 3 is a flowchart illustrating steps of a method for controlling a submerged arc furnace according to a third embodiment of the present disclosure.
Fig. 4 shows a flowchart of the step S31 in the third embodiment of the present disclosure.
Fig. 5 is a flowchart illustrating steps of executing operation instructions by the electronic device provided in the fourth embodiment of the present disclosure.
Fig. 6 shows a schematic structural diagram of a computer system of an electronic device provided in a further embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
Fig. 1 shows a schematic diagram of a submerged arc furnace control device provided in a first embodiment of the present disclosure, which is used for optimizing control parameters of a submerged arc furnace in a smelting process.
As shown in fig. 1, the ore-smelting electric furnace control apparatus 100 includes: the comprehensive index calculation module 110 and the optimal value solving module 120, wherein the comprehensive index calculation module 110 is configured to calculate to obtain a comprehensive optimization index according to the electrode voltage, the electrode resistance, the preset temperature and the actually measured metal temperature; the optimal value solving module 120 is configured to find an optimal voltage value and an optimal resistance value according to the comprehensive optimization index.
In the operation process of the ore-smelting electric furnace, comprehensive optimization indexes are obtained by comprehensively calculating various indexes, and the comprehensive optimization indexes are used for obtaining the optimal values of the electrode voltage and the electrode resistance, so that the control can be performed according to the optimal values of the electrode voltage and the electrode resistance, and the defect that the performance cannot be guaranteed by manual control is overcome.
Fig. 2 shows a schematic view of an ore-smelting electric furnace control apparatus for optimizing control parameters of an ore-smelting electric furnace in a smelting process, provided in a second embodiment of the present disclosure.
As shown in fig. 2, the ore-smelting electric furnace control apparatus 200 includes: the comprehensive index calculation module 210 and the optimal value solving module 220, wherein the comprehensive index calculation module 210 is configured to calculate a comprehensive optimization index according to the electrode voltage, the electrode resistance, the preset temperature and the actually measured metal temperature; the optimal value solving module 220 is configured to find an optimal voltage value and an optimal resistance value according to the comprehensive optimization index. The synthetic index calculation module 210 includes: a thermal balance index calculation submodule 211, a thermal distribution index calculation submodule 212, an electrical fluctuation index calculation submodule 213, and a weighting calculation submodule 214.
According to the requirement of thermal balance, when the output power of the electric furnace electrode is equal to the heating power consumed by melting the materials added into the furnace, the heat energy is fully utilized, and the thermal balance index is optimal. However, in the actual smelting process, it is difficult to ensure that the output power of the furnace electrode is exactly equal to the heating power consumed by melting the materials added into the furnace, so the difference between the output power and the heating power needs to be reduced as much as possible, i.e. the smaller the heat balance Index1, the better.
The thermal balance index calculation submodule 211 is configured to calculate a thermal balance index according to the electrode voltage, the electrode resistance and the heating power, and the calculation formula is:
formula (1):
wherein Index1 is a thermal balance Index, U is an electrode voltage, R is an electrode resistance, and P is a heating power required to be consumed by melting materials added into the electric furnace.
In the smelting production of the submerged arc furnace, the slag method is adopted for most varieties of smelting due to the fact that impurities are brought in the ore. The smelting with the slag method needs to add proper flux into furnace charge, so that impurities brought by ores generate slag with low melting point, proper alkalinity and good fluidity in the smelting process, and the separation operation of the slag and products is convenient after the slag is discharged.
The electrode determines the heat distribution of the electric furnace at the insertion depth position of the furnace burden, the deeper the insertion depth position of the furnace burden, the higher the temperature of the furnace bottom, the higher the temperature of discharged metal, and the lower the temperature of discharged metal. If the metal temperature is too high, the energy loss is increased, the energy conservation is not beneficial, if the metal temperature is too low, the metal mobility is deteriorated, the emission is not beneficial, and therefore, the metal temperature is controlled to be at the ideal preset temperature. According to the law of resistance, the depth of insertion of an electrode is inversely related to the impedance of the electrode.
The thermal distribution index calculation submodule 212 is configured to calculate a thermal balance index according to a preset temperature, an actually measured metal temperature and an electrode resistance, and the calculation formula is as follows:
formula (2):
where Index2 is the thermal distribution Index, T c The metal temperature T actually measured when the metal is discharged from the electric furnace s The predetermined temperature is determined according to the type of the metal.
The electrical fluctuations of the electrodes are shown as
Formula (3):
the electrical fluctuation index calculation submodule 213 is configured to calculate an electrical fluctuation index from the electrode voltage and the electrode resistance, with the calculation formula:
formula (4):
where Index3 is an electrical fluctuation Index.
Based on the above, after obtaining the thermal balance index, the thermal distribution index, and the electrical fluctuation index, the weighting calculation submodule 214 calculates the comprehensive optimization index according to the thermal balance index, the thermal distribution index, and the electrical fluctuation index, and the calculation formula is:
formula (5): index = min { K1 × Index1+ K2 × Index2+ K3 × Index3}, i.e.
The Index is a comprehensive optimization Index, K1, K2, and K3 are weighting coefficients, specifically, K1 is a weighting coefficient of a thermal balance Index, K2 is a weighting coefficient of a thermal distribution Index, and K3 is a weighting coefficient of an electrical fluctuation Index, and K1, K2, and K3 belong to (0, 1), and values of the three weighting coefficients can be adjusted according to an actual control effect.
The optimal value solving module 220 combines the preset value range of the electrode voltage and the preset value range of the electrode resistance according to the comprehensive optimization index to obtain the electrode voltage with the minimum comprehensive optimization index as the optimal voltage value and obtain the resistance voltage with the minimum comprehensive optimization index as the optimal resistance value.
The value of the electrode voltage U is determined by the gear of the on-load voltage regulation of the electric furnace transformer, generally 20-35, the voltage value range is 100V-1000V or 100V-2000V, and different voltage gears need to be selected according to the smelting metal. The value range of the electrode resistance R (about 1-100 m omega) is related to the properties of smelting materials and can be determined by empirical data.
Let the electrode voltage range U be: u is an element of { U ∈ [) 1 ,U 2 ,…U n In which U is 1 ,U 2 ,…U n Setting electrode impedance ranges for phase voltages corresponding to all gears of the on-load voltage regulation of the electric furnace transformer as follows: r is min <R<R max . Respectively make U 1 ,U 2 ,…U n Carry over to formula (5) and at R min <R<R max Within the range, the value of Index is calculated step by step in fixed steps, and when Index is minimum, the corresponding U n And R is the optimal solution, namely the optimal voltage value and the optimal resistance value. The fixed step may be 1% to 5% of the difference between the maximum resistance value and the minimum resistance value.
In summary, the mine hot electric furnace control device provided in this embodiment obtains the comprehensive optimization index by performing comprehensive calculation on each index, and obtains the optimal values of the electrode voltage and the electrode resistance by using the comprehensive optimization index, so as to perform control according to the optimal values of the electrode voltage and the electrode resistance, thereby overcoming the defect that manual control cannot ensure performance.
Fig. 3 is a flow chart showing the steps of a method for controlling an ore-smelting electric furnace according to a third embodiment of the present disclosure, which is used for optimizing the control parameters of the ore-smelting electric furnace in the smelting process.
As shown in fig. 3, in step S31, a comprehensive optimization index is calculated according to the electrode voltage, the electrode resistance, the preset temperature and the actually measured metal temperature.
As shown in fig. 3, in step S32, an optimal voltage value and an optimal resistance value are obtained from the comprehensive optimization index.
Fig. 4 is a flowchart illustrating the step of calculating the comprehensive optimization index according to the electrode voltage, the electrode resistance, the preset temperature and the actually measured metal temperature in step S31 in this embodiment.
As shown in fig. 4, in step S41, a thermal balance index is calculated from the electrode voltage, the electrode resistance and the heating power, and the calculation formula is:
formula (1):
as shown in fig. 4, in step S42, a thermal balance index is calculated according to the preset temperature, the actually measured metal temperature and the electrode resistance, and the calculation formula is:
formula (2):
as shown in fig. 4, in step S43, the electrical fluctuation index is calculated from the electrode voltage and the electrode resistance by the following formula:
formula (3):
wherein Index1 is a thermal balance Index, U is an electrode voltage, R is an electrode resistance, P is a heating power required to be consumed by melting a material added into the electric furnace, index2 is a thermal distribution Index, and T is c For the actual measured metal temperature, T s Index3 is the electrical fluctuation Index for the predetermined temperature.
As shown in fig. 4, in step S44, a comprehensive optimization index is calculated based on the heat balance index, the heat distribution index, and the electrical fluctuation index, and the calculation formula is:
formula (5): index = min { K1 Index1+ K2 Index2+ K3 Index3}, i.e.
The Index is a comprehensive optimization Index, K1, K2, and K3 are all weighting coefficients, specifically, K1 is a weighting coefficient of a thermal balance Index, K2 is a weighting coefficient of a thermal distribution Index, K3 is a weighting coefficient of an electrical fluctuation Index, and K1, K2, and K3 belong to (0, 1), and values of the three weighting coefficients can be adjusted according to an actual control effect.
In this embodiment, in step S32, an optimal voltage value and an optimal resistance value are obtained according to the comprehensive optimization index, specifically, according to the comprehensive optimization index in combination with a preset value range of the electrode voltage and a preset value range of the electrode resistance, the electrode voltage when the comprehensive optimization index is the smallest is obtained as the optimal voltage value, and the resistance voltage when the comprehensive optimization index is the smallest is obtained as the optimal resistance value.
The value of the electrode voltage U is determined by the gear of the on-load voltage regulation of the electric furnace transformer, generally 20-35, the voltage value range is 100-1000V or 100-2000V, and different voltage gears need to be selected according to smelting metal. The value range of the electrode resistance R (about 1-100 m omega) is related to the properties of smelting materials and can be determined by empirical data.
Let the electrode voltage range U be: u is an element of { U ∈ [) 1 ,U 2 ,…U n H, wherein U 1 ,U 2 ,…U n Setting electrode impedance ranges for phase voltages corresponding to all gears of the on-load voltage regulation of the electric furnace transformer as follows: r min <R<R max . Respectively combine U with 1 ,U 2 ,…U n Is brought into formula (5) and is in R min <R<R max Within the range, the value of Index is calculated step by step in fixed steps, and when Index is minimum, the corresponding U n And R is the optimal solution, namely the optimal voltage value and the optimal resistance value. The fixed step may be 1% to 5% of the difference between the maximum resistance value and the minimum resistance value.
In summary, the method for controlling the ore-smelting electric furnace provided in this embodiment obtains the comprehensive optimization index by performing comprehensive calculation on each index, and obtains the optimal values of the electrode voltage and the electrode resistance by using the comprehensive optimization index, so as to control according to the optimal values of the electrode voltage and the electrode resistance, thereby overcoming the defect that manual control cannot ensure the performance.
In a third embodiment of the present disclosure, there is also provided an electronic device, by which the ore-smelting electric furnace control apparatus provided in the above embodiments can be implemented, the electronic device including a processor and a memory, the memory storing operation instructions for the processor to control the computing module to execute. Fig. 5 is a flowchart illustrating steps of the electronic device executing the operation instruction in this embodiment.
As shown in fig. 5, in step S51, the value range of the electrode voltage is set according to the step of the on-load tap changing of the electric furnace transformer.
As shown in fig. 5, in step S52, the value range of the electrode resistance is set according to the property of the heated charge.
As shown in fig. 5, in step S53, the metal temperature is measured while the electric furnace discharges the metal.
As shown in fig. 5, in step S54, the required heating power is calculated in real time according to the charging amount of the electric furnace.
As shown in fig. 5, in step S55, the electrode voltage, the electrode resistance, the metal temperature, the preset temperature, and the heating power are substituted into formula (5) to calculate a comprehensive optimization index.
As shown in fig. 5, in step S56, the optimal values of the electrode voltage and the electrode resistance, that is, the optimal voltage value and the optimal resistance value, are obtained when the overall optimization index is the minimum.
As shown in fig. 5, in step S57, the electrodes are controlled based on the optimal voltage value and the optimal resistance value obtained in step S56.
Based on the above, the electronic device of the embodiment can achieve the same technical effects as the ore-smelting electric furnace control device, and details are not repeated here.
Referring now to FIG. 6, shown is a block diagram of a computer system 600 suitable for use in implementing an electronic device of an embodiment of the present application. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU) 601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage portion 607 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. A driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable medium or any combination of the two. A computer readable medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a transmitting unit, an obtaining unit, a determining unit, and a first processing unit. The names of these units do not in some cases constitute a limitation to the unit itself, and for example, the sending unit may also be described as a "unit sending a picture acquisition request to a connected server".
In another aspect, the present disclosure also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to include the method steps of:
calculating to obtain a comprehensive optimization index according to the electrode voltage, the electrode resistance, the preset temperature and the actually measured metal temperature; and obtaining an optimal voltage value and an optimal resistance value according to the comprehensive optimization index.
It should be clearly understood that this disclosure describes how to make and use particular examples, but the principles of this disclosure are not limited to any details of these examples. Rather, these principles can be applied to many other embodiments based on the teachings of the present disclosure.
Exemplary embodiments of the present disclosure are specifically illustrated and described above. It is to be understood that the present disclosure is not limited to the precise arrangements, instrumentalities, or instrumentalities described herein; on the contrary, the disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (1)
1. An ore-smelting electric furnace control apparatus, comprising:
the comprehensive index calculation module is configured to calculate and obtain a comprehensive optimization index according to the electrode voltage, the electrode resistance, the preset temperature and the actually measured metal temperature;
the optimal value solving module is configured to obtain an optimal voltage value and an optimal resistance value according to the comprehensive optimization index;
wherein, the comprehensive index calculation module comprises: the system comprises a thermal balance index calculation submodule, a thermal distribution index calculation submodule, an electrical fluctuation index calculation submodule and a weighting calculation submodule;
the thermal balance index calculation submodule is configured to calculate a thermal balance index according to the electrode voltage, the electrode resistance and the heating power, and the calculation formula is as follows:
wherein Index1 is a thermal balance Index, U is an electrode voltage, R is an electrode resistance, and P is heating power consumed by melting materials added into the electric furnace;
the heat distribution index calculation submodule is configured to calculate a heat balance index according to the preset temperature, the actually measured metal temperature and the electrode resistance, and the calculation formula is as follows:
where Index2 is the thermal distribution Index, T c For the actual measured metal temperature, T s Is a preset temperature;
the electric fluctuation index calculation submodule is configured to calculate an electric fluctuation index according to the electrode voltage and the electrode resistance, and the calculation formula is as follows:
wherein Index3 is an electrical fluctuation Index;
the weighting calculation submodule is configured to calculate the comprehensive optimization index according to the thermal balance index, the thermal distribution index and the electrical fluctuation index, and the calculation formula is as follows:
Index＝min{K1*Index1+K2*Index2+K3*Index3}，
wherein Index is a comprehensive optimization Index, K1, K2 and K3 are all weighting coefficients, and K1, K2 and K3 belong to (0, 1);
and the optimal value solving module is used for solving the electrode voltage when the comprehensive optimization index is minimum as the optimal voltage value and solving the resistance voltage when the comprehensive optimization index is minimum as the optimal resistance value according to the comprehensive optimization index in combination with the preset value range of the electrode voltage and the preset value range of the electrode resistance.
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| CN101968319B (en) * | 2010-09-13 | 2012-09-19 | 中国恩菲工程技术有限公司 | Automatic power control system of electric furnace |
| CN102230748B (en) * | 2011-06-29 | 2013-04-17 | 宝纳资源控股(集团)有限公司 | Temperature control system of high temperature furnace |
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