The invention relates to a method and a system for determining the steel-tapping quantity of a converter, which consider that the working environment of the steel-making process of the converter is severe, the measurement is difficult and the interference of other factors is large, and provide a data-driven prediction model based on data, combine a Principal Component Analysis (PCA) with a RBF neural network, find the relation and the internal relation among variables by carrying out mathematical analysis on the related internal structure of the original variables, can quickly and accurately realize the prediction of the steel-tapping quantity of the converter, improve the component hit rate and the product stability in the steel-making process of the converter, are beneficial to realizing the control of narrow regions of steel-making components, save the alloying cost and have good application prospects in the field of ferrous metallurgy.

A slag volume evaluation method for a molten metal surface includes calculating an approximation curve indicating a correspondence between a thickness of slag and a density parameter in advance by measuring thicknesses of a plurality of pieces of the slag which float on a surface of a molten metal in a container and differ from each other in thickness, and calculating a value of the density parameter which is correlated to a density in a pixel region corresponding to the plurality of pieces of the slag in a captured image of a molten metal surface in the container; and calculating a volume of the slag by calculating and integrating the thickness of the slag for each of pixels constituting the captured image obtained by capturing an image of the molten metal surface which is an evaluation target, according to a value of the density parameter of each of the pixels and the approximation curve.

The present invention preferably comprises a system and method for operating and/or positioning a lance and nozzle assembly relative to a molten metal bath in a vessel. Specifically, at least one temperature sensor is provided proximate a tip of the lance and nozzle assembly and at least one temperature sensor is provided on or in the vessel. A processing unit is configured to receive at least one signal from each of the temperature sensors, process the signals to determine the active position of the lance and nozzle assembly relative to the metal bath, and move the lance and nozzle assembly to a preferred position the corresponds to a stage of operation in the vessel.

A system and equipment to measure and control the feeding of load material into an electrical arc furnace (EAF) includes an automatic control device feeding the load material; a measuring device positioned between the EAF and the tilting platform that includes an upper plate adapted to slide against the EAF, a lower plate engaged to the tilting platform, and a ring structure therebetween having a peripheral ring wall, a ring plate extending across the ring structure, and a contact member coupled to the ring plate that upperly contacts the upper plate and lowerly approaches, without contacting the lower plate; and one or more sensors measuring a deformation of the ring plate upon application of a load on the upper plate.

A slag volume evaluation method for a molten metal surface includes calculating an approximation curve indicating a correspondence between a thickness of slag and a density parameter in advance by measuring thicknesses of a plurality of pieces of the slag which float on a surface of a molten metal in a container and differ from each other in thickness, and calculating a value of the density parameter which is correlated to a density in a pixel region corresponding to the plurality of pieces of the slag in a captured image of a molten metal surface in the container; and calculating a volume of the slag by calculating and integrating the thickness of the slag for each of pixels constituting the captured image obtained by capturing an image of the molten metal surface which is an evaluation target, according to a value of the density parameter of each of the pixels and the approximation curve.

A converter blowing control method includes: calculating, by heat balance calculation and material balance calculation, an amount of oxygen supplied and an amount of a cooling material or a rising heat material charged to control a temperature and a component concentration of molten steel at end of blowing in a converter to target values; controlling the blowing in the converter based on the calculated amount of oxygen supplied and the calculated amount of a cooling material or a rising heat material charged; estimating a pre-blowing molten iron temperature that is a temperature of molten iron used as a raw material for blowing to be a target of the heat balance calculation, charged into the converter, and is in a state immediately before start of the blowing; and using the estimated pre-blowing molten iron temperature as a charged molten iron temperature in the heat balance calculation.

A method of manufacturing a steel product into at least two different steelmaking units wherein an expected level of CO2 emissions for the manufacturing of said product in each respective steelmaking unit is calculated.

A method to manufacture a steel product in a steelmaking plant including several different tools, the method including the definition of at least two manufacturing routes using different tools and the calculation of the expected level of CO2 emissions associated to each of this defined manufacturing routes.

A method to manufacture a global tonnage of steel products in at least two steelmaking units wherein expected level emissions are calculated and compared with pre-defined targets.

A molten metal component estimation device including: an input device configured to receive measurement information about a refining facility including measurement results regarding an optical characteristic; a model database that stores model expressions and model parameters, regarding a blowing process reaction, including a model expression and model parameters representing a relation between the oxygen efficiency in decarburization and a carbon concentration in a molten metal in the refining facility; and a processor configured to: estimate component concentrations of the molten metal including the carbon concentration in the molten metal by using the measurement information, the model expressions and the model parameters; estimate the carbon concentration in the molten metal based on the measurement results; and determine the model expression and the model parameters to be used when estimating the component concentrations of the molten metal, based on the estimation result of the carbon concentration in the molten metal.