2332 results about "Steelmaking" patented technology

The invention discloses a distillation SAE and dynamic integration converter steelmaking carbon temperature soft measurement method, which comprises the following steps of: training a teacher model on a large-scale data set of a conventional production working condition, and compressing the model by adopting a knowledge distillation technology; then, a small amount of data from unconventional production working conditions is used for fine tuning to obtain a plurality of expert-type student stacking auto-encoder models SAE; in the prediction stage, a to-be-tested sample is mapped to respective feature space through a plurality of SAEs, and the posterior probability of the sample is calculated in each feature space based on a Gaussian distribution model; and finally, respectively inputting a to-be-measured sample into a plurality of corresponding regression devices to obtain a predicted value, and carrying out weighted fusion on the output of each regression device according to a posterior probability to realize dynamic integration selection of the soft measurement model. The method can effectively adapt to complex data distribution of multi-working-condition changes in converter steelmaking, the carbon temperature prediction precision under the unconventional working condition is improved, and the method has high robustness and engineering practicability.

The invention discloses a direct-current hollow electrode hydrogen plasma furnace mineral powder smelting system and method and application, and belongs to the technical field of hydrogen metallurgy. The system comprises a hollow electrode gas powder injection hydrogen plasma gun system, a direct current bottom electrode ore-smelting electric furnace system, a fine ore and hydrogen supply system and the like. The hollow electrode and the furnace bottom electrode form a direct-current arc, hydrogen carrying mineral powder is sprayed into an arc area to generate high-temperature hydrogen plasma, mineral powder reduction is achieved, and metal and slag are separated. According to the method, hydrogen serves as a reducing agent, carbon emission is reduced, the reaction efficiency is high, energy consumption is low, and the method can be used for steelmaking, smelting of micro-carbon ferromanganese and titanium slag and recovery of valuable metal in nonferrous smelting waste slag and has good green metallurgy application prospects.

The invention relates to the technical field of advanced high-strength steel for automobiles. The invention relates to cold-rolled dual-phase steel DP780 with low cost and high surface. The cold-rolled dual-phase steel DP780 comprises the following chemical components in percentage by mass: 0.10 to 0.15 percent of C, 0.20 to 0.40 percent of Si, 1.60 to 1.80 percent of Mn, less than or equal to 0.015 percent of P, less than or equal to 0.004 percent of S, 0.015 to 0.035 percent of Al, 0.010 to 0.025 percent of Ti, 0.005 to 0.015 percent of Nb, less than or equal to 0.006 percent of N, less than or equal to 0.0003 percent of H and the balance of iron and inevitable trace impurities. The invention further provides a production method of the low-cost high-surface cold-rolled dual-phase steel DP780. The production method comprises the technological processes of smelting, continuous casting, casting blank reheating, rough rolling, finish rolling, cooling and coiling after rolling, hot coil acid continuous rolling and rolled hard coil continuous annealing. The 780MPa-grade cold-rolled dual-phase steel has the beneficial effects that the 780MPa-grade cold-rolled dual-phase steel which is small in alloy adding amount and easy to control steelmaking casting, hot rolling and continuous annealing can be stably obtained, and the use requirements of automobile parts are met.

The invention relates to the field of chemical engineering and steel smelting, and discloses a method for extracting vanadium by top-blowing nitrogen-oxygen mixed gas, which comprises the following steps: S1, measuring the temperature of overline-crossing molten iron, sampling, and testing and analyzing the components of the molten iron; s2, measuring the temperature of the molten iron mixed into the converter; s3, according to the temperature measurement result in the S1 and the temperature measurement result in the S2, the charging temperature is corrected; s4, according to the corrected charging temperature, the proportion of the mixed gas is adjusted in a staged mode for blowing; s5, adding a coolant and pig iron into the furnace according to an analysis result in S1; and S6, after blowing is completed, slag and steel are separated, and vanadium slag and low-residue vanadium semisteel are obtained. According to the scheme, in order to solve the problems that in an existing vanadium extraction process, the temperature of a molten pool rises too fast, the stirring effect is insufficient, and the vanadium oxidation rate is limited, the recovery rate of vanadium is increased and the content of residual vanadium in semi-steel is reduced by accurately controlling the nitrogen-oxygen mixed blowing proportion, reasonably distributing the blowing time and combining heat balance calculation and end point control; and meanwhile, molten steel quality and subsequent steelmaking process requirements are guaranteed.

The invention relates to the technical field of advanced high-strength steel for automobiles. The invention relates to cold-rolled dual-phase steel DP980 with low cost and high surface. The cold-rolled dual-phase steel DP980 comprises the following chemical components in percentage by mass: 0.07 to 0.10 percent of C, 0.30 to 0.60 percent of Si, 2.00 to 2.60 percent of Mn, less than or equal to 0.015 percent of P, less than or equal to 0.003 percent of S, 0.015 to 0.035 percent of Al, 0.010 to 0.040 percent of Nb, 0.010 to 0.040 percent of Ti, 0.10 to 0.30 percent of Cr, less than or equal to 0.006 percent of N, less than or equal to 0.0003 percent of H and the balance of iron and inevitable trace impurities. The invention provides a production method of low-cost high-surface cold-rolled dual-phase steel DP980. The production method comprises the technological processes of smelting, continuous casting, casting blank reheating, rough rolling, finish rolling, cooling and coiling after rolling, hot coil acid continuous rolling and rolled hard coil continuous annealing. The 980MPa-grade cold-rolled dual-phase steel has the beneficial effects that the 980MPa-grade cold-rolled dual-phase steel which is small in alloy adding amount and easy to control steelmaking casting, hot rolling and continuous annealing can be stably obtained, and the use requirements of automobile parts are met.

The invention relates to a slag charge adding device for smelting low-phosphorus steel through a high-silicon molten iron converter double-slag method, and relates to the technical field of steel-making slag charge adding. The slag charge adding device comprises a base, a converter body is installed on the base, a fixing frame is fixedly connected to the base, a moving assembly is arranged on the fixing frame, a storage barrel is arranged on the moving assembly, and the storage barrel is connected with the converter body. A sorting assembly is arranged below the storage barrel, and the lower portion of the sorting assembly communicates with a spreading disc. The method has the advantages that the slag materials are separated and scattered in different areas according to different sizes, large particles fall into the center position close to the converter body, small particles fall into the area close to the side wall of the converter body, and the temperature of the center position of the converter body is usually the highest area, so that the slag materials are separated; and the high temperature is beneficial for increasing the melting speed of the large-particle slag charge, so that the large-particle slag charge can participate in the chemical reaction of steelmaking more quickly.

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.

The invention discloses a steelmaking MES manufacturing execution system based on data analysis, and relates to the technical field of monitoring analysis, and the system comprises a data collection module which is used for collecting multivariate heterogeneous data of a steelmaking whole process, and constructing a steelmaking dynamic feature vector; the optimization scheme generation module is used for generating an inter-process parameter coupling relation graph and performing key process parameter optimization generation on the inter-process parameter coupling relation graph to obtain a parameter optimization configuration scheme; the instruction generation module is used for establishing a production execution deviation quantitative index, performing process parameter dynamic compensation calculation according to the production execution deviation quantitative index, and generating a real-time process adjustment instruction set; the simulation verification module is used for carrying out dynamic priority ranking on the parameter optimization configuration scheme and generating an execution strategy optimization scheme; and the manufacturing execution control module is used for executing manufacturing based on the execution strategy optimization scheme and carrying out risk prediction and efficiency evaluation based on an execution manufacturing result. The device has the effect of improving the production efficiency.

To provide a substrate material for growing seagrass, a method for producing the substrate for growing seagrass, a shallow structure suitable for seagrass growth, and a method for constructing the shallow structure, which are applicable when nitrogen cannot be supplied from the underlying layer to seagrass such as eelgrass or when the nitrogen supply amount from the underlying layer is insufficient, and which enable suppression of redispersion into mud after immersion in water and resistance to drift caused by waves or tidal currents.SOLUTION: The substrate material for growing seagrass comprises, as a main raw material, granular matter with a particle size of 25 mm or less, which is formed by solidification of a mixed material obtained by mixing dredged soil, steelmaking slag, a strength-increasing agent, and a nitrogen-supplying material.SELECTED DRAWING: Figure 1

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 invention relates to the technical field of steelmaking, in particular to a steelmaking process based on a Q420 slab, which comprises the following steps: molten iron, scrap steel and pig iron are put into a converter for melting to obtain molten steel, and the molten steel is smelted in the converter and then transferred into a ladle refining furnace for refining; acquiring a fluctuation period to determine whether the removal efficiency of the inclusions in the molten steel is qualified or not; determining the nodulation condition of the slag layer based on the judgment result that the removal efficiency of the inclusions is unqualified so as to determine that the viscosity of the whole slag layer is unqualified or the viscosity of the local slag layer is unqualified; the addition amount of fluorite is determined based on the judgment result that the viscosity of the overall slag layer is unqualified, or the pulse frequency of argon or the refining duration of molten steel is adjusted based on the judgment result that the viscosity of the local slag layer is unqualified; and the refined molten steel is subjected to vacuum degassing treatment and then subjected to continuous casting to obtain a slab, and after the slab is subjected to flaw detection, defect characterization parameters are determined so as to adjust the attenuation rate threshold value. The purification degree of the molten steel is improved.

The invention relates to a normalizing-free method for producing non-oriented electrical steel. The method comprises the following steps: 1) performing multi-pass finish rolling, cooling and coiling on an intermediate billet to obtain a hot-rolled coil plate with the thickness of 2.30-2.60 mm; (2) the hot-rolled coil plate is not subjected to normalizing treatment, but is sequentially subjected to uncoiling, acid pickling, rinsing, drying, cold rolling and coiling, and a cold hard coil with the thickness being 0.35-0.65 mm is obtained; (3) the cold hard coil is subjected to finished product annealing in the mixed atmosphere of H2 and N2 through a continuous annealing furnace, the finished product annealing temperature ranges from 850 DEG C to 1000 DEG C, and the annealing time ranges from 50 s to 70 s; and cooling, coating and finishing the annealed steel strip to obtain a non-oriented electrical steel finished product. The method has the advantages that under the condition that normalizing intermediate annealing is not adopted, the burden of production procedures such as steelmaking and hot rolling can be relieved, the control difficulty of harmful elements and inclusions in the steelmaking link is lowered, and the control difficulty of recrystallization microscopic structures in the hot rolling link is lowered.

The invention discloses a molten steel element content on-line detection system based on a laser-induced breakdown spectroscopy technology, and relates to the technical field of molten steel element content on-line detection, the molten steel element content on-line detection system comprises an excitation system, an acquisition system, a data preprocessing module and a component detection module; the excitation system is used for emitting laser to the molten steel surface to generate plasma; the acquisition system is used for collecting signal light radiated by the plasma; the data preprocessing module is used for carrying out baseline correction and noise reduction processing on the collected original spectral signals; and the component detection module comprises an element content prediction model based on a gating specific expert attention network LSEA-Net and is used for carrying out quantitative analysis on the preprocessed spectral data to obtain the element content of the molten steel. The technology has the advantages that sample preparation is not needed, online rapid analysis and multi-element synchronous detection are achieved, and the technology is suitable for the high-temperature environment and the like, and the requirement of a steelmaking site for real-time component detection is met very well.

The application relates to a method for smelting high-manganese steel in a converter, and belongs to the technical field of steelmaking. The technical problem to be solved by the application is that the manganese content of end-point molten steel produced by a converter in the prior art is low. The technical solution provided by the application for solving the above technical problem is that carbon balls and high-carbon ferromanganese are added in stages according to oxygen supply amount in the smelting process of the converter, when the oxygen supply amount is within 0-10% and 10-80%, 30% and 70% of manganese alloy are respectively added; and when the oxygen supply amount is within 0-10%, 10-50%, 50-80% and 80-100%, 20%, 40%, 30% and 10% of carbonaceous raw materials are respectively added. Compared with the current process for producing high-manganese steel in a converter, the application reduces the investment of alloy heating furnaces and other equipment, meets the production requirements of more varieties of high-manganese steel, improves the metal yield of manganese, shortens the production cycle, and reduces the production cost of high-manganese steel.

The present invention relates to a system and method for preventing material mixing during automatic belt feeding of steelmaking, belonging to the technical field of steelmaking. The technical solution is as follows: when materials enter a high-level silo (16) from an underground silo (2) through a belt scale A (3), a No. 1 belt (4), a No. 2 belt (6), a No. 3 belt (7), a No. 4 belt (8), a belt scale B (9) and a discharge trolley (14), the belt scale A (3) and the belt scale B (9) weigh the mass of the materials passing through, and a feeding PLC (1) compares and calculates the two. When the mass data of the materials weighed by the belt scales A and B differ by more than 10%, an alarm is issued and the machine is automatically shut down, thereby preventing material mixing during automatic feeding. The beneficial effects of the present invention are: low investment cost, strong anti-interference ability, and the function of detecting material mixing phenomena in each process during the automatic feeding process and taking corresponding measures to avoid material mixing in the high-level silo.

The invention provides a method and system for on-line determination of molten steel carbon content in converter steelmaking, and relates to the technical field of converter steelmaking, the method comprises the following steps: obtaining multi-source process data, the multi-source process data comprising exhaust gas components, furnace mouth flame multispectrum and process parameters; performing time synchronization and feature extraction on the multi-source process data to generate a feature vector; inputting the feature vector into a carbon content prediction model to obtain a carbon content prediction value and an uncertainty estimation value thereof; the molten pool temperature is obtained, and based on the molten pool temperature, the waste gas components and the technological parameters, a theoretical carbon content value is calculated through a thermodynamic carbon content calculation model; and carrying out weighted fusion on the carbon content predicted value and the theoretical carbon content value to generate a fused carbon content as a target carbon content. According to the method and system for online determination of the carbon content of the molten steel in converter steelmaking, the precision and reliability of online determination of the carbon content of the molten steel can be effectively improved, and powerful support is provided for intelligent production of converter steelmaking.

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 large-specification alloy spring steel and a production method thereof. The control process comprises the steps of steelmaking, bloom continuous casting, heating cogging, coping flaw detection, anti-decarburization segmented spraying, small square billet heating, high-speed wire controlled rolling, stelmor wire controlled cooling and coil collecting and packaging. And the surface quality and the structure property uniformity of the wire rod are effectively improved by combining segmented spraying of the anti-decarburization coating with a refined controlled rolling and controlled cooling process, and the wire rod can be used for preparing the large-size high-strength automobile suspension spring.

The invention discloses a data and mechanism combined driving converter steelmaking oxygen consumption calculation method and system, and belongs to the technical field of converter steelmaking. Dividing the data into field measurable data and parameters which cannot be measured in real time (including key parameters which cannot be measured in real time and non-key parameters which cannot be measured in real time); inputting field measurable data into the parameter prediction model to obtain a key parameter prediction value which cannot be measured in real time and an oxygen consumption prediction value; an oxygen consumption mechanism calculation model is adopted, and the oxygen consumption is calculated according to the converter steelmaking production data; wherein the key parameters which cannot be measured in real time adopt model prediction values; and weighting the predicted value of the oxygen consumption and the calculated value of the mechanism calculation model to obtain an oxygen consumption calculation result. According to the method, the oxygen consumption in the converter steelmaking process can be accurately predicted, and the actual requirement for accurately controlling the oxygen consumption according to the input material and the control target is met.

The invention relates to a multi-modal information fusion converter intelligent steelmaking method, belongs to the technical field of converter steelmaking, and solves the problem of low parameter prediction precision in the prior art. Screening the heat data with the historical slag thickness value and the production time meeting the requirements from the historical heat data to obtain a self-learning library of the corresponding steel grade; based on the data of each heat in the self-learning library and the historical mean value and the required value of each parameter of the to-be-produced steel grade, the modulus increment of each heat in the self-learning library is obtained; obtaining the weight of each heat in the self-learning library based on the modulus increment of each heat; on the basis of the weight of each heat and data of each heat in a self-learning library, obtaining standard heat data of the steel grade to be produced; and on the basis of the standard heat data and the technological requirements of the current production heat, the predicted values of the parameters in the current production heat are obtained, and the steelmaking process is conducted on the basis of the predicted values of the parameters. And accurate parameter prediction is realized.

The invention discloses a method for preparing reduced iron through low-carbon agglomeration-hydrogen reduction of an iron-containing raw material, and belongs to the technical field of ferrous metallurgy. The method comprises the following steps: uniformly mixing an iron-containing raw material with a composite binder and water to obtain a mixture; the mixture is sequentially subjected to homogenization treatment, high-pressure forming and drying solidification, and cold-pressed pellets are obtained; and the cold-pressed pellets are subjected to hydrogen reduction, and metallized pellets are obtained. The method can be used at a lower temperature (lt; according to the method, the furnace burden suitable for direct hydrogen reduction of the shaft furnace is prepared at the temperature of 300 DEG C, the metallized pellets are obtained through further direct hydrogen reduction, the technological process is short, the carbon emission in the reduction process is greatly reduced through hydrogen reduction, and the obtained metallized pellets can be used for different scenes such as converter steelmaking and electric furnace steelmaking according to different qualities.

The invention relates to the technical field of metal smelting, and particularly discloses a preparation method of a high-purity IN718 alloy material. According to the method, on the premise that the mechanical property result redundancy of the IN718 alloy material is large, the content of inclusions and formation of carbides in the steelmaking process are reduced by optimizing the content of C, N and Nb elements in the vacuum induction melting process, reducing the refining temperature and reducing the melting speed of vacuum self-consuming remelting; and in cooperation with two-heating-number upsetting and drawing deformation in the forging process, the situation that carbides in the IN718 alloy material are dispersed unevenly due to segregation is avoided. According to the high-purity IN718 alloy material and the preparation method thereof, the content of carbides in steel ingots is remarkably reduced by controlling all parameters in the duplex process, the overall level of the carbides in the high-purity IN718 alloy material is smaller than or equal to 2.0 level after homogenizing diffusion annealing, forging, machining and heat treatment, the purity of the existing IN718 alloy material is improved, and the use requirements of special equipment such as deep sea equipment and nuclear power equipment can be met.

The invention belongs to the technical field of metallurgical steelmaking production, and particularly relates to a control method for B-type inclusions in ultralow-sulfur steel. The production process comprises the steps of molten iron treatment, converter smelting, LF refining, RH refining, calcium treatment and soft blowing, continuous casting and hot rolling, and is characterized in that in the calcium treatment and soft blowing process, after RH is finished, a calcium line is fed for calcium treatment, the content of calcium in molten steel is reduced, and the content of calcium in tundish molten steel is controlled to be 5-10 ppm; the total air volume of soft blowing is controlled to be 80-180 NL / min, and the soft blowing time is controlled to be 7-12 min. According to the method, large-size CaO-Al2O3 series and CaS-CaO series inclusions do not exist in the molten steel, the large-size strip-string-shaped inclusions are obviously improved after hot rolling, and the cleanliness of the molten steel and the product quality are obviously improved; meanwhile, the consumption of calcium lines in the production process is reduced, and the production cost is reduced.

The invention belongs to the technical field of ironmaking and steelmaking, and particularly discloses a direct reduction iron production process and system of variable feed gas. The production process comprises the following steps: under a basic working condition, a hydrogen-rich working condition or an all-hydrogen working condition, introducing high-temperature reducing gas into a shaft furnace to produce the direct reduced iron; the production system comprises a shaft furnace, a self-heating modification device, an upgrading device, a heating furnace and a preheating furnace, and is provided with three hydrogen supplementing points and two hydrogenation points. By changing the structure of the raw material gas, supplementing hydrogen at three positions or supplementing or adding hydrogen at at least one of two hydrogenation points, increasing the H2 content of the reducing gas at the inlet of the shaft furnace and the like, the carbon emission, the process energy consumption and the pellet reduction difficulty are reduced.

The invention belongs to the technical field of steel smelting, and particularly relates to a method for increasing the addition amount of waste steel in the refining process and application. The method comprises the following steps: carrying out foaming slag making, first reducing slag making treatment and second reducing slag making treatment in LF refining; in the foaming slag, first waste steel is added into molten steel at the temperature of 1610 DEG C or above; in the first reducing slag making treatment, second waste steel is added into molten steel with the temperature of 1600 DEG C or above. According to the method, the steel scrap can be rapidly melted and uniformly mixed by adjusting the steelmaking process conditions and adding the steel scrap for multiple times in a segmented manner, so that the addition amount of the steel scrap is increased, the unit consumption of molten iron is reduced, the carbon emission of the steel scrap is reduced, the desulfurization efficiency is high, the influence on the quality of molten steel is small, and the purposes of increasing the steel yield and the economic benefit are achieved.

The invention provides a steelmaking residue cleaning method based on image recognition and trajectory optimization, and the method comprises the steps: firstly obtaining visible light image data, thermal imaging image data and depth point cloud data of the inner wall of equipment through multi-source data collection, and generating comprehensive data containing texture, temperature and three-dimensional geometric information through preprocessing and space-time registration fusion; segmenting a residue area by using a multi-branch encoder and decoder model, calculating residue thickness distribution in combination with a reference plane of a clean area, and establishing a physical model based on a temperature gradient to generate adhesion strength distribution; and finally, in combination with the three-dimensional environment model and a cleaning tool library, efficient residue cleaning is realized through global path planning and local trajectory planning. The automation degree and accuracy of the cleaning process are improved, and the problem that the residue cleaning efficiency is low in a complex industrial scene is effectively solved.

The invention relates to the technical field of carbon detection, in particular to an online real-time dynamic detection method for the carbon content of converter steelmaking molten steel, which comprises the following steps: acquiring multi-source sensing data, and acquiring a molten steel surface temperature image acquired by a thermal infrared imager; acquiring multiband spectral data, namely controlling a visible band sensor to acquire radiation intensity in a range of 500-600nm, and controlling a near-infrared band sensor to acquire reflectivity characteristics in a range of 850-1100nm; analyzing and fusing the data, analyzing the temperature image, and generating a molten pool two-dimensional temperature field; analyzing the multiband spectral data, and extracting a spectral feature vector related to the carbon content; fusing the two-dimensional temperature field and the spectral feature vector, and generating a molten steel surface carbon content distribution diagram based on a pre-trained carbon content machine learning model; and outputting an optimized detection result, processing multi-node data through a distributed computing framework, and outputting a dynamic carbon content detection report. According to the invention, the effects of breaking through the limitation of traditional static detection, real-time component monitoring, full molten pool covering and dynamic feedback are achieved.

The invention relates to a converter steelmaking knowledge graph construction method and device and computer equipment, and the method comprises the steps: constructing an ontology hierarchy according to collected multi-source heterogeneous data, then carrying out corresponding knowledge extraction on different types of data based on an ontology hierarchy structure, employing a similarity calculation hierarchical clustering method based on TF-IDF and SBERT, and carrying out knowledge extraction on different types of data; and converter steelmaking knowledge is processed and fused, so that the data quality of the knowledge graph is ensured. Multi-source knowledge dispersed in a technical document, an operation manual, an enterprise informatization database and the like is systematically integrated to form a structured knowledge base, which has positive influence on improving information retrieval and knowledge utilization and acquisition processes of converter steelmaking and provides solid knowledge data support for subsequent implementation of converter intelligent steelmaking.

The invention discloses a thermal shock resistant magnesia carbon brick for a steelmaking converter and a preparation method of the thermal shock resistant magnesia carbon brick, relates to the technical field of refractory materials, and aims to solve the problem that the overall service life of a furnace lining of the steelmaking converter is unbalanced due to the short service life of the magnesia carbon brick in a thermal shock concentrated area. The refractory material is prepared from the following raw materials in percentage by weight: 15 to 30 weight percent of high-purity magnesite clinker, 20 to 40 weight percent of high-purity magnesite clinker, 20 to 25 weight percent of high-purity magnesite clinker, 10 to 20 weight percent of fused magnesite, 8 to 16 weight percent of graphite, 0.5 to 1.5 weight percent of zirconium oxide powder, 1 to 3 weight percent of alpha alumina powder, 1 to 4 weight percent of antioxidant and 3 to 6 weight percent of phenolic resin. The magnesium carbon brick microstructure is constructed, the toughness mechanism is improved, the thermal shock resistance of the product is improved, and the service life of the converter lining tends to be balanced.