841results about "Steel manufacturing process aspects" patented technology

The invention discloses a method for predicting blast furnace TRT equipment maintenance time based on an LSTM model, and the method comprises the steps: constructing a sliding window adaptive algorithm based on vibration signal change characteristics, and dynamically adjusting the size of an input data sliding window of the LSTM model according to the fluctuation amplitude and change rate of a vibration signal; adopting an adaptive sliding window to obtain TRT equipment training data, and training the LSTM model; applying the trained LSTM model to the vibration signals acquired in real time, predicting the vibration trend of the TRT equipment in the future n days at the current point, and outputting a predicted value of the vibration signals in a future period of time; and according to the prediction result of the vibration signal, in combination with a preset threshold value of shutdown maintenance, judging the time when the TRT equipment reaches the threshold value, and further obtaining the remaining days of the TRT equipment away from the maintenance. According to the method, the future development trend of the TRT equipment vibration signal is accurately predicted, the maintenance plan is reasonably arranged, and the TRT equipment operation reliability and production efficiency are improved.

The invention relates to the field of steelmaking. More specifically, the invention relates to a process for controlling nitrogen increase in electric furnace smelting. The invention provides a method for producing low-nitrogen steel from electric furnace full waste steel. The method specifically comprises the steps that waste steel is loaded into an electric furnace, CO2 gas is injected into the electric furnace before and after loading, air is exhausted, and micro-positive pressure in the electric furnace is kept. The method comprises the following steps: after an electric furnace forms a molten pool, injecting limestone powder at the top of the furnace with the injection amount of 60-80kg / t and the injection carrier gas of CO2 gas, after the electric furnace forms the molten pool, injecting oxygen and carbon powder by adopting a carbon-oxygen lance to make foamed slag, injecting CO2 gas into the molten pool to decarburize, produce two times of CO gas and intensify denitrification, and during tapping of the electric furnace, protecting steel flow from ending with air by adopting CO2 gas, and feeding into the next process for smelting after tapping of the electric furnace. Application proves that when the method is used for smelting low-nitrogen steel, nitrogen in the electric furnace can be controlled not to be increased, N is smaller than or equal to 0.003% after tapping of the electric furnace, the smelting rate of the low-nitrogen steel grade is increased, and low-carbon emission production of special varieties is achieved.

The invention relates to the technical field of converter steelmaking, particularly discloses a converter steelmaking process prediction method and system for multi-source-domain asynchronous data, and aims to solve the problems that converter steelmaking multi-source-domain data is lagged in information, asynchronous data feature extraction and fusion are difficult, and converter steelmaking working conditions are diversified and complicated. According to the method and system, a converter steelmaking working condition process prediction model is provided, the model uses a feature pyramid network to construct a multi-scale feature extraction network, and the multi-source domain asynchronous data feature learning ability of the model is improved through fusion; according to the model, a Transform module is adopted, a self-attention mechanism, a multi-head attention mechanism and residual connection are utilized to capture a dependency relationship in multi-scale fusion features, probability values of different working conditions are output, and an abnormal category corresponding to the maximum probability value is output as a working condition prediction result. Experiments prove that the method has relatively high accuracy on identification of five converter steelmaking working conditions.

Provided are a joint regulation method of material flow, energy flow, and carbon emission flow in a long-process steel enterprise, which belongs to a field of intelligent regulation and control technology of electric power system in the steel industry. The method includes: coupling a material-energy characteristic model of each production process of a steel enterprise and a carbon emission model of the steel enterprise, constructing a material flow-energy flow-carbon emission flow coupling model of the long-process steel enterprise, establishing an objective function using a minimize sum of an electricity purchase cost from a superior grid, a park carbon emission cost, and a production raw material cost as an object, and solving and obtaining an optimal operation mode of a joint regulation of the material flow-energy flow-carbon emission flow in the steel enterprise.

The embodiment of the invention provides a blast furnace lining residual thickness and slag crust state determination method and device, and the method comprises the steps that a numerical simulation model is determined based on design furnace profile data and physical performance parameters; determining a slag-skin-free off-line database based on the numerical simulation model, and determining a blast furnace lining residual thickness intelligent real-time calculation model based on the slag-skin-free off-line database; based on the intelligent real-time calculation model of the residual thickness of the blast furnace lining and the working condition data, constructing a slag crust state judgment model; and acquiring current working condition data, and determining the slag crust state based on the current working condition data, the intelligent real-time calculation model of the residual thickness of the blast furnace lining and the slag crust state judgment model. On the basis of actual data of the blast furnace, multiple theoretical technologies are fused, the residual thickness of the furnace lining is accurately calculated, the slag crust state is scientifically evaluated, the response speed is high, the real-time performance is high, the cost is low, the high popularization and application capacity is achieved, and field operators can be helped to control the blast furnace type, stabilize the blast furnace condition and reduce the ironmaking cost.

The invention provides a blast furnace coal injection control method and equipment and a readable storage medium, and relates to the technical field of blast furnace ironmaking. According to the method, the influence of the pulverized coal property change of the injected pulverized coal on the coal injection operation can be deeply considered, and the updated conversion model of each coal injection regulation and control device can represent the comprehensive influence of the pulverized coal property change on the parameter conversion relationship between the device control quantity and the coal injection rate through adaptive updating of the model parameters; and meanwhile, a coal injection regulation and control device combination matched with the real-time coal injection rate difference distribution condition is selected to execute device working state self-adaptive regulation and control operation based on the updated conversion model, so that through organic combination of a multi-model decoupling control mode and a coal injection rate indirect regulation mode, coal injection rate regulation and control fluctuation is effectively reduced, and the coal injection rate regulation and control efficiency is improved. And it is ensured that the coal injection rate is stably and uniformly maintained at a set rate value, so that the blast furnace steady-state coal injection effect is achieved, and the blast furnace ironmaking production operation meets the requirements of blast furnace production improvement, energy consumption reduction, pollution reduction and the like.

The invention relates to the technical field of ferrous metallurgy, and discloses a non-deslagging converter steelmaking method which comprises the following steps: step 1, establishing a slag-steel interface stability analysis model, and analyzing the stability of a slag and molten steel interface under the action of a gravity field, oxygen blowing gas flow and temperature gradient, including slag density, molten steel density, interfacial tension and oxygen blowing flow rate, so as to obtain a slag-steel interface stability analysis model; calculating the amplitude and wavelength of an interface; and 2, based on the interface disturbance physical parameters obtained in the step 1, optimizing oxygen blowing process parameters of the top-blowing spray gun, adjusting the oxygen blowing angle of the spray gun to be in the range of 15-25 degrees, and controlling the oxygen flow rate to be in the range of 600-700 Nm < 3 > / h. By establishing a slag steel interface stability analysis model and adopting a multi-field coupling theory of a gravity field, an oxygen blowing gas flow and a temperature gradient, the amplitude, the wavelength and the disturbance growth rate of interface disturbance are quantitatively analyzed, accurate prediction and optimal control of dynamic behaviors of the slag steel interface are achieved, and the effect that the interface is kept stable in the steelmaking process is achieved.

A furnace vessel of an arc furnace is loaded with solid metal. Afterward, an energy supply device of the arc furnace feeds electrical energy to electrodes of the arc furnace via a furnace transformer to form arcs between the electrodes and the metal, the arcs melting the metal. Finally, the molten metal is removed from the furnace vessel. The number of electrodes is at least three. For at least two of the electrodes, the energy supply device individually sets the operating frequency (fa, fb) of the relevant electrode. The current (Ic) through the third electrode is defined by the current (Ia, Ib) through the first and the second electrodes. Which of the electrode is the first electrode, which is the second electrode, and which is the third electrode is assigned dynamically.

The invention provides a dynamic control method, device and equipment for the smelting state of an electric arc furnace and a medium. According to the method, smelting data generated in the smelting process of the electric arc furnace are collected, the electric arc length and the foam slag height are calculated through the smelting data, and the submerged arc condition of the electric arc furnace is further determined according to the electric arc length and the foam slag height; according to the condition, the smelting parameters of the electric arc furnace are adjusted, or the difference value between each subitem data and the corresponding historical early warning threshold value is calculated, and the smelting parameters of the electric arc furnace are adjusted according to the calculation result; according to the method, real-time monitoring and intelligent analysis of the smelting state of the electric arc furnace are achieved, the operation flexibility and efficiency of the electric arc furnace are guaranteed, and meanwhile the energy utilization rate is increased.

The invention discloses a converter steelmaking molten pool carbon content detection method and system, a medium and a terminal, and the method comprises the steps: responding to a converter steelmaking signal, starting a three-section model, and obtaining the height of an oxygen lance and the oxygen flow of the oxygen lance in real time in the converter steelmaking process; a first carbon content detection value of a molten pool in the converter at the current moment is obtained through real-time analysis by utilizing a three-section type model and combining the height of an oxygen lance, the oxygen flow of the oxygen lance, the weight of waste steel added into the converter, the weight of molten iron and the carbon content; when the converter is in the last steelmaking stage, if a detection signal sent by the detection equipment is received, a second carbon content detection value of the molten pool in the converter at the current moment is obtained through real-time analysis based on the detection signal, and the first carbon content detection value and the second carbon content detection value are fused to obtain a carbon content detection result of the molten pool at the current moment. According to the method, the influence of the oxygen lance position, the oxygen flow and feeding on the decarburization rate is considered, the carbon content detection in the whole steelmaking process is realized, and the detection precision in the last steelmaking stage is optimized.

The invention discloses a converter steelmaking endpoint forecasting method and device and a storage medium, and the method comprises the steps: carrying out the multi-scale importance modeling and graph attention mechanism modeling of the multi-dimensional process characteristics of the current heat, and generating the importance weight and the structure perception weight of each dimension of process characteristics; fusing the importance weight and the structure sensing weight, and multiplying the fused weight with the corresponding dimension process characteristics to generate a characteristic regulation and control vector of the current heat; performing multi-scale convolution operation on the feature regulation and control vector, extracting local mode features under different receptive fields, and outputting a spatial feature vector after the local mode features are enhanced by a self-attention mechanism; a plurality of groups of Transformer encoders are adopted to respectively process the furnace feature sequences with different historical window lengths, and cross-furnace time sequence feature vectors are extracted; and carrying out dimension alignment on the spatial feature vector and the time sequence feature vector, carrying out dimension-by-dimension weighted fusion through a learnable fusion weight, and outputting a steelmaking end point state prediction value of the current heat through a regression prediction network.

The embodiment of the invention discloses an intelligent energy consumption regulation and control steel smelting system based on multi-energy complementation, and the system comprises a multi-energy complementation energy supply system which is used for integrating various energy forms, forming a dynamic cooperative energy supply network, and carrying out the energy cooperative operation according to an energy priority strategy and a dynamic matching mechanism; the intelligent regulation and control platform adopts a three-layer framework of'perception-decision-execution 'to coordinate energy flow and process operation between the multi-energy complementary energy supply system and the multi-energy coupling process equipment; the multi-energy coupling process equipment comprises hydrogen-based direct reduction ironmaking equipment, and hydrogen is used for replacing traditional coke to serve as a reducing agent for ironmaking; comprehensive energy supply monitoring and optimization can be carried out on the steel smelting process, various renewable energy sources are combined, and the problems that a single renewable energy source is intermittent, depends on a power grid and the like are effectively solved; meanwhile, the multi-energy complementary hydrogen storage process is coupled with the hydrogen metallurgy process, and the multi-energy cooperation problems of whole-process green power supply, waste heat utilization and the like are solved.

The invention relates to the technical field of blast furnace smelting, and discloses a method, device and equipment for determining the position of a blast furnace soft melting zone and a storage medium, and the method comprises the following steps: carrying out charge level scanning based on a material distribution starting signal and a material distribution ending signal of current material distribution to obtain a charge level coordinate and a charge discharging speed; determining a first boundary condition based on the furnace charge level coordinates and the blast furnace characteristics, and constructing an initial grid structure; the initial grid structure is updated based on the furnace charge level coordinates and the furnace charge discharging speed, and a target grid structure is obtained; enabling the blast furnace burden to react, obtaining the distribution condition of each grid unit in the target grid structure under the condition that a plurality of burden performance parameters of each grid node in the target grid structure converge, and generating a temperature field distribution diagram; and determining the position of the soft melting zone of the blast furnace based on the plurality of furnace charge performance parameters and the temperature field distribution diagram corresponding to each grid node in the target grid structure. According to the method, the accuracy of determining the position of the soft melting zone is improved, and dynamic changes in the blast furnace are reflected.

The invention provides a method for making foam slag in LF (ladle furnace) refining by using a waste graphite electrode, which specifically comprises the following steps: grinding the waste graphite electrode to obtain graphite electrode powder, and adding limestone as a foaming agent in the LF refining. 0-1.25 kg / t of steel limestone is added firstly, and 0.018-0.19 kg / t of steel graphite electrode powder is added every 2 min. Compared with the prior art, by utilizing the characteristics of high carbon content, high conductivity and low sulfur of the graphite electrode, the invention aims to realize submerged arc heating, reduce power consumption and shorten refining time so as to meet the requirement of continuously increasing LF smelting indexes under the high-quality development trend of steelmaking.

The invention relates to the technical field of metallurgy, in particular to a production method for controlling the hydrogen content in high-carbon manganese steel. According to the method, the packaging specification of the metallurgical auxiliary materials is improved, and the field storage time and the water content of the metallurgical auxiliary materials, the temperature of terminal molten steel of an electric arc furnace, and the adding time and the adding sequence of all materials in the steel ladle pre-deoxidation, precipitation deoxidation and alloying procedures are controlled; in the LF refining process, foam white slag is rapidly formed, the thickness, the components and the retention time of the foam white slag are controlled, the silicon-calcium wire feeding time and the flow of soft blowing argon are controlled, the baking time and the baking temperature of a tundish are controlled in the continuous casting process, casting is protected in the whole process, the fluctuation range of the liquid level of a crystallizer is controlled, and the slow cooling time is prolonged. The hydrogen control mechanism and the hydrogen removal mechanism are closely linked with all the processes, the hydrogen content of the obtained casting blank is reduced to 4.5 ppm or below, air holes, cracks and other defects do not appear on the surface of the casting blank, and subsurface bubbles of 0.5 grade or above do not appear on the low magnification of the casting blank.

The invention discloses a control method for stabilizing the alkalinity of blast furnace slag. The method comprises the following steps: collecting blast furnace production data; calculating a blast furnace theoretical alkalinity lag period; establishing a dual-control model of a control model based on the theoretical slag alkalinity under the blast furnace tank and a control model based on the actual slag alkalinity of the blast furnace, and monitoring and analyzing the abnormal fluctuation reason of the actual slag alkalinity; and then targeted alkalinity control is carried out according to the reasons of abnormal fluctuation of alkalinity. According to the method, closed-loop control is achieved from the slag alkalinity fluctuation source and the slag fluctuation reason through the theoretical slag alkalinity and actual slag alkalinity dual-control model, the slag alkalinity fluctuation reason can be judged rapidly and comprehensively, targeted measures are taken for different reasons, the slag alkalinity is stabilized more accurately and rapidly, the blast furnace is kept stable, and the method is suitable for large-scale popularization and application. The steel production quality is improved.

The invention relates to a high-carbon steel wire rod, a smelting system and a short-process high-efficiency low-cost smelting method. On the basis of real-time monitoring and identification at different stages of an electric furnace smelting process, a power supply curve, an oxygen supply curve and a charging and carbon spraying curve are formulated according to the characteristics of different stages of electric furnace smelting; and efficient and accurate automatic control over the electric furnace smelting process of the high-quality high-carbon steel wire is achieved.

Method of producing steel with using steel scrap in electric arc furnace The method of producing steel using an Electrical Arc Furnace (EAF) comprising successively loading a load (L) in the EAF, the load (L) containing steel scrap (SC), energizing the electrodes of the EAF for melting the load (L) and generating a melt (M); introducing a desulphurizing slagging agent in the EAF for generating a desulphurizing slag (S1) above the melt (M) and then removing the desulphurizing slag (S1) from the EAF, and injecting oxygen in the EAF for decarburizing the melt (M).

Provided are a method for determining a decarburization treatment end, vacuum degassing equipment, a method for operating vacuum degassing equipment, and a method for producing molten steel, with which it is possible to estimate the carbon concentration in molten steel with high accuracy after appropriately utilizing an exhaust gas measurement value and to end a decarburization treatment at the appropriate timing. Provided is a method for determining a decarburization treatment end, in which the end of a decarburization treatment is determined when performing a vacuum degassing treatment including the decarburization treatment by placing molten steel in a reduced-pressure environment, wherein: the decarburization treatment is divided into two stages which are a first half decarburization treatment M1 and a latter half decarburization treatment M2; estimation models for the carbon concentration in the molten steel, which differ between the first half decarburization treatment M1 and the latter half decarburization treatment M2, are used to estimate the carbon concentration in the molten steel in the first half decarburization treatment M1 and the latter half decarburization treatment M2; in the first half decarburization treatment M1, an estimation model constructed on the basis of machine learning with respect to actual operation results data is used (S3); and, in the latter half decarburization treatment M2, the end of the decarburization treatment is determined when the estimated value of the carbon concentration in the molten steel reaches a target value (S7).

A blast furnace operation method according to one aspect of the present disclosure comprises: a parameter estimation step for estimating blast parameters and a pulverized coal ratio in a second operation, such that the amount molten iron produced, the molten iron temperature, and the furnace top gas temperature in the second operation match those in a reference operation; a change information acquisition step for acquiring information on a temporal change in one or both of the molten iron temperature and the amount of molten iron produced when performing the second operation based on the blast parameters and the pulverized coal ratio estimated in the parameter estimation step with a delay of a predetermined time after switching from the reference operation to the first operation; a repeating step for performing the change information acquisition step a plurality of times while changing the predetermined time; and an optimum delay time acquisition step for determining, as an optimum delay time, a predetermined time such that the temporal change in the molten iron temperature or the amount of molten iron produced is the smallest, on the basis of the information acquired in the repeating step. After switching from the reference operation to the first operation, the second operation based on the blast parameters and the pulverized coal ratio estimated in the parameter estimation step is started with a delay of the optimum delay time.

The invention belongs to the technical field of metallurgical industry, and discloses a real-time control method and system for a carbon spraying and oxygen blowing process of an electric arc furnace. The method includes the following steps that at least three high-temperature-resistant distance measuring sensors are evenly installed on the top of the electric arc furnace, and the distance between the top of the electric arc furnace and foamed slag is measured; calculating an average distance value, and calculating the height of the foaming slag according to the hearth height. A telescopic air gun is used for blowing away local foaming slag, and the height of the molten steel level is measured. The thickness of the foam slag is calculated and compared with a preset threshold value, and the carbon spraying and oxygen blowing technological parameters are adjusted accordingly. And establishing a correlation model of the carbon spraying and oxygen blowing process parameters and the thickness of the foam slag, predicting the thickness change trend of the foam slag, and performing pre-adjustment. The system comprises a distance measuring sensor, a telescopic air gun, a data acquisition module, a calculation module, a prediction module and a control module. The method and system can monitor and control the thickness of the foamed slag in real time, effectively prevent the slag flowing phenomenon and the difficulty of electrode submerged arc, and improve the smelting efficiency and quality of the electric arc furnace.

The invention relates to a method for optimizing a pig iron desulfurization process (1), wherein the pig iron desulfurization process (1) is carried out by dispensing one or more desulfurization agents (2, 3, 4) into a pig iron ladle (5) or a torpedo car, wherein a plurality of treatment patterns are available which differ with respect to the type of desulfurization agents (2, 3, 4) dispensed. The optimization is based on creating a separate model (8) for each of the plurality of treatment patterns in order to optimize the added amounts of the desulfurization agents (2, 3, 4) for the associated treatment pattern, and training (9) the created separate models (8) for each of the plurality of treatment patterns after a predefined number of performed pig iron desulfurization processes (1) with the corresponding treatment pattern. Future pig iron desulfurization processes (1) are optimized on the basis of the predictions of the separate models (8), wherein the optimization determines a treatment pattern and the added amounts of the desulfurization agents (2, 3, 4) for the treatment pattern by means of a comparison of the predictions of the separate models (8). The invention also relates to a system and a computer program which are designed to carry out the method according to the invention.

The invention belongs to the technical field of ferrous metallurgy, and particularly relates to a molten steel smelting method adopting fluoride-free refining slag in LF (ladle furnace) refining, which comprises the following steps: taking a slag sample from the LF refining slag refined by fluorine-containing refining slag, analyzing the components of the slag sample, calculating the metallurgical properties including melting point and viscosity of the slag sample by using FactSage software, and calculating the content of the fluoride-free refining slag according to the calculation result. The composition of the fluoride-free refining slag system replacing the fluorine-containing refining slag is obtained through phase diagram calculation; obtaining the molten steel oxygen content and temperature at the converter smelting end point, and determining the amount of slag needing to be added according to the molten steel oxygen content and temperature at the converter smelting end point; lime and synthetic refining slag are added in the converter tapping process for slagging to achieve first modification; and in the LF refining process, residual lime and synthetic refining slag are added for slagging to realize secondary modification, a slag system is adjusted to a required fluoride-free refining slag system composition, and LF refining is realized by adopting molten steel of fluoride-free refining slag for smelting.

The invention provides a load balance control system of a converter tilting device and a control method thereof, and belongs to the field of converter control. The control system comprises a plurality of motors including a first motor and a second motor; the plurality of feedback encoders, the plurality of controllers and the plurality of frequency converters correspond to the plurality of motors; the motor feedback encoders are arranged on rotating shafts of all the motors and used for obtaining the first rotating speed and the second rotating speed; the master controller is used for generating an integral component and a first control reference value, and the slave controller is used for generating a second control reference value; the frequency converters are in data communication connection, the main frequency converter is used for synchronizing integral components to the driven frequency converter, and the main frequency converter and the driven frequency converter are respectively used for controlling the first motor and the second motor to execute first and second control reference values. The method is mainly used for solving the problems of overload, reverse dragging, unstable control and the like caused by non-uniform load distribution when the converter is driven by multiple motors to tilt, the tilting stability is improved, and the wear rate of equipment is reduced.

The invention provides an electroslag remelting smelting endpoint element dynamic forecasting and process decision optimization method and system, and the method comprises the steps: obtaining a historical data set and a real-time data flow in a smelting process, and carrying out the preprocessing of data; an online stochastic gradient descent and incremental learning algorithm is introduced, an element dynamic prediction model is constructed, sensor data in the smelting process are received in real time, and an element concentration prediction model is dynamically optimized; on the basis of a depth deterministic strategy gradient algorithm, an optimization decision model is constructed, and a smelting operation strategy is adjusted in real time according to element components, smelting working conditions and other environment parameters predicted online by the element dynamic forecasting model; and a real-time feedback mechanism is set, so that the element dynamic prediction model and the optimization decision model work cooperatively, and element concentration prediction and real-time synchronous adjustment of a control strategy are realized. The smelting parameters can be adjusted in real time, element prediction precision is improved, energy consumption is reduced, manual intervention is reduced, and smelting efficiency and quality stability are remarkably improved.

The invention discloses a blast furnace working condition knowledge graph construction method and device, and belongs to the field of blast furnace ironmaking intelligent control. The method comprises the following steps: fusing multi-source data, integrating sensor real-time data, process parameters, operation logs and expert rules, and enhancing abnormal working condition data generation capability by using a time sequence generative adversarial network; a three-layer dynamic body structure with the core abnormal furnace condition as the center is constructed, and a dynamic edge weight updating mechanism is designed; extracting multi-region spatial-temporal characteristics of the blast furnace by adopting a spatial-temporal diagram convolutional network, and generating an interpretable knowledge triple in combination with a causal discovery algorithm FGES; and realizing real-time updating of the knowledge graph based on a streaming graph learning framework, generating a regulation and control instruction through multi-agent reinforcement learning, and issuing the regulation and control instruction to a blast furnace control system through a digital twin interface. The method can clearly represent the symptom incidence relation of the abnormal furnace condition of the blast furnace, rapidly position the abnormal source and generate the regulation and control strategy, and has important practical significance for improving the intelligent level of blast furnace ironmaking.

The present invention belongs to the technical field of energy conservation and emission reduction in metallurgy and iron and steel, and proposes a method and system for source control of sulfur dioxide emissions from flue gas of iron-making hot blast furnaces, aiming to solve the problem of source sulfur element control in the blast furnace iron-making process, so as to achieve the purpose of standard emission of sulfur dioxide from flue gas of hot blast furnaces at all times. The system includes a data acquisition and transmission module, a memory, an analysis and calculation module, a data monitoring module, and a control terminal. The input end of the data acquisition and transmission module is respectively connected to the data monitoring module and the metering system and component detection system of the blast furnace body, and its output end is respectively connected to the analysis and calculation module and the control terminal; the data acquisition and transmission module is interactively connected to the memory, the analysis and calculation module and the control terminal. The present invention performs origin control from the source of blast furnace raw materials and operations, and has the characteristics of few control actions, short time, compact rhythm and high production efficiency.

An information processing device (20) is provided with a control unit that: acquires observation data obtained for each observation time by observing, through use of a sensor (30), the surface layer of a deposited raw material (12) that is sequentially conveyed; uses the acquired observation data to calculate an index related to the particle diameter of each particle included in the deposited raw material (12) for each observation time; acquires measurement data obtained for each measurement time corresponding to each observation time by measuring the state of the deposited raw material (12); corrects the calculated index of the observation time corresponding to each measurement time by using the acquired measurement data; and outputs an index for each corrected observation time.

The invention discloses a smelting method of cold direct reduced iron in a Consteel electric furnace, belonging to the technical field of electric furnace steelmaking. The smelting method comprises the following steps: at the beginning of smelting, low-grade power supply is adopted, and at the same time of power-on, oxygen lances and carbon lances on the furnace wall are used to blow oxygen and spray carbon to produce foamed slag for submerged arc. After 1-3 minutes, scrap steel is continuously added by the Consteel system, and cold direct reduced iron is added through the fifth hole of the electric furnace. The molten steel in the furnace is heated by the electric arc, and the molten steel melts the metal materials in the furnace; during the whole smelting process, lime and light burned dolomite are added in batches. The addition amount of lime is 30-50 kg / t of steel, and the addition amount of light burned dolomite is 25-30 kg / t of steel. The invention helps to maintain the whole-process flat bath smelting, reduce the power consumption of electric furnace smelting, and reduce the smelting cost; it provides a technical solution for a short-process demonstration plant for the efficient use of direct reduced iron in an electric furnace, filling the domestic technical research gap in the short-process industry of electric furnaces.

The present invention relates to reduction of a metal oxide material (5) and to a metal material production configuration (1) adapted for reduction of a metal oxide material (5) holding thermal energy into a reduced metal material (16).The metal oxide material (5) is charged into an upper interior portion (UP) of a reduction facility (7). A hydrogen containing reducing agent (6) is introduced into the reduction facility (7) and is adapted to react with the metal oxide material (5) holding thermal energy for reducing the metal oxide material (5) by utilizing the thermal energy of the metal oxide material (5) to heat or further heat the introduced hydrogen containing reducing agent (6).The reduction facility (7) of the metal material production configuration (1) is configured for providing a heat treatment process of the reduced metal material (16).A control circuitry (50) is configured to adjust the temperature of the hydrogen containing reducing agent (6) and control the temperature of the introduced hydrogen containing reducing agent (6) for reaching at least one desired passivation parameter value (DPPV) of the reduced metal material (16).