1064 results about "Smelting process" patented technology

The invention belongs to the technical field of metallurgical industry process intelligent control and prediction, and discloses a self-adaptive mixed intelligent prediction method and system for smelting endpoint parameters of an electric arc furnace. Acquiring smelting process data of the electric arc furnace; constructing a dual-drive prediction system comprising a mechanism model and a data drive model; calculating a decision coefficient of a prediction value and an actual measurement value of the theoretical model, and counting an effective historical data volume; constructing a machine learning prediction model, and selecting a modeling algorithm according to the effective historical data volume; selecting a hybrid prediction strategy based on the decision coefficient and the effective historical data volume; predicting and outputting an end point carbon content predicted value and an end point temperature predicted value according to a hybrid prediction strategy; predictive deviation threshold value judgment and execution control are conducted, and the electric arc power, the oxygen blowing flow, the feeding speed or the cooling water flow are adjusted. Accurate prediction and dynamic optimization control of the electric arc furnace end point parameters are achieved, and the smelting quality, the energy utilization rate and the production stability are remarkably improved.

The invention belongs to the technical field of steel smelting, and particularly discloses a comprehensive utilization method of vanadium titano-magnetite, which comprises the following steps: S1, preparing the vanadium titano-magnetite into pellets, and carrying out reduction reaction to obtain direct reduced iron; s2, a carbonaceous reducing agent and the direct reduced iron obtained in the step S1 are mixed and smelted in a melt separation electric furnace, and slag and molten iron are obtained; a slag former is not added in the smelting process, the purity of the titanium slag is improved through optimal design of the furnace profile of the melting electric furnace and combination of various smelting process control means, the problems that refractory materials of the melting electric furnace are excessively eroded, the service life is short, slag-metal separation is difficult, smelting is difficult to control and the like are solved, and the purposes of high-grade titanium slag and long service life of the melting electric furnace are achieved.

The invention discloses a temperature and gas detection system and method based on an ultraviolet to near infrared spectrum, relates to the technical field of spectral measurement, and solves the technical problems that the space in a smelting furnace is occupied and the complexity of the system is increased due to the fact that two sets of independent equipment are adopted for temperature measurement and environment monitoring in the smelting process respectively in the prior art. The method comprises the following steps: acquiring spontaneous radiation light of a to-be-detected target; carrying out dispersive light splitting on the spontaneous radiation light to obtain spectral data of a full wave band from ultraviolet light to near-infrared light; performing denoising processing on the spectral data to obtain a spectrum of the to-be-detected target; obtaining temperature data according to the spectral analysis of the to-be-detected target; calculating based on the spectrum and a pre-established spectrum database to obtain gas concentration; the temperature of the to-be-measured target can be accurately measured, and the measurement accuracy is improved.

The invention discloses a production method of a novel rare earth submerged arc welding wire steel wire rod for pipeline steel. The specific technological process is as follows. Blast furnace molten iron preparation, molten iron pretreatment, converter top and bottom combined blowing smelting, LF refining, VD vacuum treatment, small square billet continuous casting, steel billet heating, high-pressure water descaling, rough rolling, flying shearing, intermediate rolling, kick shearing, finish rolling, controlled cooling water tank, spinning, stelmor cooling, coil collecting, trimming, sampling inspection, collecting and bundling and weighing -a finished wire. According to the novel production method of the rare earth submerged arc welding wire steel wire rod for the pipeline steel, by adding rare earth elements and novel alloy elements, the comprehensive performance, including but not limited to the low-temperature toughness impact performance, strength, toughness, corrosion resistance and the like, of welding wire steel is improved. Meanwhile, the rare earth element and the nickel element are added, the smelting process is optimized, composition segregation and inclusions are reduced, the porosity is reduced, and the strength and toughness of the welding wire steel are improved.

The invention belongs to the technical field of vanadium enrichment mechanisms of phosphorus vanadium ores, and discloses a research method of a vanadium enrichment mechanism in a diagenetic stage of phosphorus vanadium ores, which comprises the following steps: S1, sample collection and treatment; s2, rock ore identification and mineral composition analysis; s3, analyzing the occurrence state and microcell morphology of vanadium; s4, performing geochemical analysis on the whole rock; s5, in-situ microcell geochemical analysis is carried out; s6, phosphorus nodule analysis; s7, comprehensive analysis and mineralization model establishment; according to the method, mineralogy, total rock geochemistry, micro-area surface scanning and other multi-scale and multi-means research methods are comprehensively utilized, and the vanadium occurrence state, the ore-forming fluid evolution and the phosphorus-vanadium coupling relation are finely described; in-situ microcell geochemical analysis is introduced into phosphorus nodule analysis, the internal structure, the growth sequence and element distribution of the phosphorus nodule are directly revealed, obvious frontier and systematicness are achieved, and reliable theoretical support is provided for accurate exploration of vanadium ore resources and green and efficient dressing and smelting process research and development.

The invention relates to the technical field of platinum smelting, and discloses a platinum smelting impurity prediction and process optimization system based on deep learning. A feature extraction module of the system extracts a multi-scale smelting feature component through a deep convolutional neural network and calculates a complexity index; the key feature determination module identifies key smelting features most related to impurity sources; the optimization parameter generation module is used for generating personalized optimal regulation and control parameters in combination with historical smelting baseline characteristics, smelting state characteristics and complexity indexes; the sequence reconstruction module reconstructs the feature sequence and decomposes the feature sequence into a slow-varying component reflecting the steady-state characteristic of the impurity and a fast-varying component reflecting the dynamic change of the impurity; the impurity prediction module determines impurity types and generates a mapping relation between the impurity types and smelting process parameters; and the process optimization execution module generates a control instruction based on the mapping relation to realize smelting process optimization. According to the system, through cooperation of multiple modules, precise prediction of platinum smelting impurities and dynamic optimization of the process are achieved.

The invention discloses a fuming furnace smelting process control method and system, a terminal and a readable storage medium. The method comprises the following steps: constructing a normal association relationship among initial multi-source data in a stable operation state of a fuming furnace; collecting current multi-source data of the fuming furnace in a current operation state; identifying association deviation according to the normal association relationship and the current multi-source data; identifying an abnormal state according to the correlation deviation; and according to the abnormal state, the smelting area is finely controlled. According to the control method and system for the smelting process of the fuming furnace, the normal incidence relation among the multi-source data is constructed, the abnormal state can be recognized more accurately, then the smelting area is finely controlled, and therefore the control accuracy of the smelting process can be improved, unnecessary energy consumption and process fluctuation can be reduced, and the smelting process can be controlled more accurately. And meanwhile, local abnormity can be rapidly and effectively eliminated, further deterioration of the local abnormity is prevented, and automatic control over the smelting process of the fuming furnace can be achieved.

The invention provides a method for improving homogenization of a bearing steel casting blank, belongs to the technical field of steel smelting processes, and solves the technical problems that in the continuous casting process of bearing steel, large-size compounds are easily formed due to high carbon and high chromium content, and micro segregation regulation and control of the bearing steel are difficult to solve by traditional electromagnetic stirring and soft reduction process parameters. According to the method for improving the homogenization of the bearing steel casting blank through soft reduction and tail end electromagnetic stirring coupling, a bearing steel continuous casting solidification mathematical model is established and corrected, and pouring condition technological parameters are input to provide basic data and boundary conditions for establishing the bearing steel continuous casting solidification heat transfer mathematical model; the method is applied to soft reduction process parameter design and is matched with adjustment of the tail end electromagnetic stirring position, the soft reduction technology and tail end electromagnetic stirring are coupled to be implemented, the solid fraction coupling rule between soft reduction and tail end electromagnetic stirring is determined, the homogeneity of a casting blank is jointly improved from the two dimensions of solidification structure and solute distribution, and center segregation is improved; and the structure uniformity is improved.

The invention relates to a steelmaking multi-process dust removal coordinated control system in a big data environment, and the system comprises a data collection module which is used for collecting the dust removal data of a converter smelting process, a converter tapping process, a steel ladle transportation sedation process, a steel ladle refining process and a molten steel casting process in real time; the big data platform is used for constructing a CDH multi-server cluster, processing second-level real-time process data by adopting Flink, performing real-time data processing and operational analysis, and storing dust removal related data through HBase; the dust removal valve state monitoring module is used for monitoring the state of each dust removal valve; the automatic reminding and adjusting module is used for automatically recognizing abnormal or non-optimal configuration of the valve state based on big data analysis and optimizing the dust removal process by reminding or automatically adjusting the valve state; the energy-saving analysis model is used for calculating energy consumption under different configurations; and the intelligent control system integrates an intelligent control algorithm, automatically adjusts the state of the valve according to the result of the energy-saving analysis model, and realizes intelligent control of the dust removal process.

The present application relates to high-temperature alloy smelting technical field, specifically relates to a kind of high-aluminum titanium cast nickel-based high-temperature alloy purification smelting method.The pure smelting method, step one, low calcium nickel alloy preparation;Step two, pure smelting: batching and furnace charging, melting period, refining period, alloying period, calcium treatment purification period and casting period;Pure smelting process is carried out in vacuum induction melting furnace, 2 / 3 low calcium nickel alloy is directly loaded into magnesium oxide crucible when furnace charging, and the remaining 1 / 3 low calcium nickel alloy is added in calcium treatment purification period.The present application prepares a kind of component accurately controllable "low calcium nickel alloy" as master alloy by pre-preparation, is added in key smelting stage, solves the problem of calcium element direct addition, realizes the deep deoxidation denitrogenation desulfurization of alloy melt, significantly reduces the oxygen, nitrogen, sulfur impurity content in alloy, to improve the purity and comprehensive mechanical properties of alloy.

The invention provides a zinc-copper-nickel-copper smelting deslagging agent and a preparation method and a use method thereof. The zinc-copper-nickel-copper smelting deslagging agent comprises the following raw materials in percentage by mass: 5-15% of calcium fluoride, 20-30% of sodium carbonate, 5-15% of sodium fluoride, 10-20% of sodium hexafluoroaluminate and the balance of borax. Compared with the prior art, the zinc-copper-nickel-copper slag remover prepared by mixing the raw materials can effectively reduce impurities to be less than 0.14% of Fe, less than 0.005% of Pb and less than 0.003% of Si in the smelting process, the impurity components are obviously reduced, the number of times of component adjustment and unqualified sampling is reduced, impurities mixed in a casting blank are reduced, and finally the metal purity and the casting quality are improved. Meanwhile, loss of zinc and nickel is reduced to the maximum extent; and adverse effects on the zinc-copper-nickel alloy are avoided.

The invention provides a gold ore phase analysis method, and belongs to the field of mineral analys.The gold ore phase analysis method comprises the steps that a gold ore sample is prepared into ore pulp, the pH value is adjusted to 10-11, ultrasonic cavitation treatment is conducted after polyethylene glycol is added, and limonite turbid liquid and sedimentation bottom mud are obtained through separation; the turbid liquid is subjected to flocculation precipitation, drying, roasting, acid dissolution and impurity removal, and the limonite gold-loaded grade is obtained through the mass difference before and after dissolution and gold concentration determination; separating metal sulfide ore heavy minerals and gangue minerals from the settled bottom mud through artificial heavy elutriation, performing acid dissolution and impurity removal on the metal sulfide heavy minerals, and calculating the gold loading grade of the metal sulfide heavy minerals through mass difference and gold concentration determination; after gangue minerals are subjected to oxidizing roasting, the gold content is measured after concentrated acid dissolution; and calculating the distribution rate of gold based on the result. The gold loading grade and distribution of the limonite phase, the metal sulfide ore phase and the gangue mineral phase are measured in a split-phase mode, the method is highly matched with the gold ore development process, operation is easy and convenient, the result is reliable, and beneficiation and metallurgy technological process formulation and technical index pre-judgment can be effectively served.

The invention discloses a method for refining a rare earth magnesium alloy structure through combination of composite Zr salt and an ultrasonic field, the composite Zr salt is added as a chemical refiner in the magnesium alloy smelting process, and low-temperature ultrasonic treatment is carried out before pouring. Low-temperature chemical refinement and physical refinement are combined, the composite Zr salt is adopted to replace a traditional Mg-Zr intermediate alloy to serve as a chemical refiner, the refinement cost is reduced, magnesium element oxidation burning loss is avoided, on the basis, an ultrasonic physical field is introduced before melt pouring, Zr element sedimentation and decline effects are effectively avoided, and the mechanical property of the alloy is improved. The yield of Zr particles and the nucleation rate of crystal grains are increased, the Zr particles can play a nucleation role, and the effects of refining the solidification structure of the rare earth magnesium alloy and purifying the melt are achieved, so that the comprehensive mechanical property of the rare earth magnesium alloy is improved, and the rare earth magnesium alloy is suitable for the aerospace field with strict requirements for light weight, high specific strength and high temperature resistance.

The invention belongs to the technical field of steelmaking, and relates to a method for controlling large-size inclusions in silicon-aluminum deoxidized steel. Converter tapping adopts a silicon-aluminum deoxidation process, after tapping, high-oxidability slag is removed by adopting a slagging-off process, and then high-reducibility premelting refining slag is added for re-slagging, so that the slag (TFe + MnO) at most of the refining moments is maintained within 0.50%; in the refining process, the stirring strength is controlled to control the desulfurization rate of the refining slag within 50%, so that the slag entrapment degree of the refining slag is reduced to the maximum extent; two iron sheets with the thickness being 2 mm are placed on the liquid level of the slag in advance before RH vacuum treatment, it is guaranteed that the slag is prevented from being drawn into the dip pipe in the process that the dip pipe is inserted into the molten steel, soft blowing is conducted for 10-15 min after RH vacuum treatment, then argon is closed, and the molten steel is subjected to standing for 20-30 min. By the adoption of the smelting process, the product rejection rate caused by large-size inclusions is reduced to be within 2%.

The invention relates to the technical field of Isa furnace metal smelting processes, in particular to a numerical simulation method and system for reaction of pulverized coal at the upper part of a hearth of an Isa furnace and monitoring of flue gas components at an outlet, which are based on reasonable basic assumption and in combination with field parameters, construct a simulation equation and perform parameter coupling on a control equation in the simulation process. The physical quantity field distribution in the hearth in the metal smelting process of the Isa furnace can be subjected to accurate numerical simulation, the obtained data is matched with the actual production data, the corresponding production rule can be obtained, and the method has important guiding significance for controlling the coal consumption of the Isa furnace and the flue gas components at the outlet; besides, the numerical simulation method for monitoring the pulverized coal reaction at the upper part of the hearth of the Isa furnace and the flue gas components at the outlet and the corresponding data can be used as a basic support for intelligent feeding or other related parameter management and control in the metal smelting process, so that more accurate management and control in the smelting production link of the Isa furnace can be realized; and the effects of reducing cost and increasing efficiency are achieved.

The invention relates to the field of metallurgical furnace process control, in particular to a precise temperature control method and system in the aluminum smelting process. The method comprises the following steps: S1, collecting and performing time alignment on 9 types of data; s2, inputting data into the model to obtain a composite tank temperature and wall surface heat dissipation index; s3, comparing the composite tank temperature with the upper and lower limit threshold values of the target temperature zone to judge deviation, and decomposing into a convection heat dissipation component, a material parameter component and an electrical parameter component; s4, during deviation, the exhaust air rate and the waste heat bypass ratio are adjusted according to the first control sequence, and the composite tank temperature is made to return to the target temperature zone; and S5, if the main control evaluation time threshold value is reached, the aluminum oxide feeding amount, the working current of the electrolytic cell and the anode-cathode distance are adjusted in a linkage mode till the aluminum oxide enters the area. According to the method, through model-filtering fusion of'multi-source observation-composite tank temperature 'and cooperative master control (limited linkage when necessary) of'exhaust air rate + waste heat bypass ratio', the composite tank temperature is stably kept in a target temperature area on the premise that environmental protection and condensation prevention constraint are met.

The invention relates to the technical field of guide arm spring flat steel, and discloses a guide arm spring flat steel surface crack control technological method.The guide arm spring flat steel surface crack control technological method comprises the following technological methods of S1, smelting technology optimization, S2, continuous casting technology control, S3, rolling technology optimization and S4, quality detection and feedback adjustment. In the smelting stage, through slag stopping and tapping, LF furnace long-time refining white slag making (the alkalinity is 5.0-7.0, and the white slag retention time is longer than or equal to 30 min) and vacuum deep degassing (the vacuum degree is smaller than or equal to 67 Pa, and the retention time is longer than or equal to 15 min), the content of gas (the hydrogen content is smaller than or equal to 1.5 ppm) and the content of inclusions in steel are remarkably reduced, component fluctuation in the later period is avoided through accurate use of a diffusion deoxidizing agent (the use amount is larger than or equal to 80 kg / furnace), a pure molten steel foundation is laid for the follow-up process, and the production cost is reduced. And crack inducements caused by inclusion and gas are reduced from the source.

The present application relates to a kind of small square billet sulfur titanium-containing welding wire steel and its preparation method, belong to the technical field of steelmaking.The converter smelting process, refining process and continuous casting process, specifically are as follows:in the converter smelting process, tapping is carried out using aluminum block, ferrosilicon, silicon manganese deoxidation alloying, pre-slagging is carried out by adding lime, after tapping is finished, the total mass content of FeO and MnO in slag is controlled≤2.5%;In the refining process, lime, calcium carbide and aluminum particles are added for slagging and diffusion deoxidation, after slagging is finished, the slag basicity is controlled to be 2.5~3.0, the total mass content of FeO and MnO in slag is≤0.5%, the total oxygen content of molten steel is≤10ppm, sulfur wire and titanium wire are accurately fed;In the continuous casting process, the inclusion is controlled to gather in the stopper head and the water gap bowl by stopper shaking method, and the basicity of protective slag is controlled to be 0.85~0.95.The sulfur titanium-containing welding wire steel prepared by the above method.The present application solves the problems of small square billet sulfur titanium-containing welding wire steel surface slag inclusion, intermediate crack and water gap nodule.

The invention relates to a production method of nitrogen-containing low-carbon aluminum killed molten steel. The method comprises the following steps: 1) smelting by adopting a top-bottom combined blown converter; (2) the converter smelting process is controlled; (3) controlling the smelting end point of the converter; (4) controlling molten steel sedation; (5) controlling tapping of the converter; and (6) refining of a molten steel argon blowing station is controlled, the molten steel fed with the aluminum wire is subjected to weak stirring, the argon flow is controlled to be 50-100 L / min, the molten steel is subjected to weak stirring for 6-8 min, finished molten steel is obtained, and the finished molten steel comprises, by weight, 0.02%-0.045% of C, smaller than or equal to 0.034% of Si, 0.2%-0.3% of Mn, smaller than or equal to 0.015% of P, smaller than or equal to 0.012% of S, 0.025%-0.06% of Al, 0.0035%-0.0065% of N, smaller than or equal to 0.0035% of T [O] and the balance Fe and residual elements. According to the method, the problem of accurate nitrogen increasing in converter smelting of the low-carbon aluminum killed molten steel is solved, the cleanliness of the molten steel is improved, the argon blowing direct feeding process of the nitrogen-containing low-carbon aluminum killed molten steel is achieved, and the smelting cost is reduced.

The present application belongs to the field of smelting coal gas recovery, and particularly relates to an optimized control method and system for combustible gas recovery. The method divides the smelting process into N measurement time periods, and calculates the average secondary combustion coefficient of each time period in real time. Meanwhile, M target smelting time zones and their weights are set, and a dynamic target value sequence is established. Based on the initial fan speed, the measured coefficient is adjusted through multiple iterations of the furnace, and when the measured coefficient is greater than the target value, the speed is reduced in steps, and a thermal imager and a differential pressure instrument are introduced to monitor the smoke emission. A smoke emission rate statistics and tolerance threshold judgment mechanism is established to trigger speed backtracking adjustment, and finally the average secondary combustion coefficient of each time period is minimized to generate an optimal fan speed model. The present application maximizes the improvement of the calorific value of coal gas and the recovery of carbon monoxide under the premise of preventing smoke from the furnace mouth.

The invention relates to a production process of an alloy structural steel bar smelted by an ecological electric furnace. The alloy structural steel bar comprises the following chemical components: 0.39%-0.44% of C, 0.17%-0.37% of Si, 0.50%-0.80% of Mn, less than or equal to 0.020% of P, less than or equal to 0.020% of S, 0.90%-1.20% of Cr, less than or equal to 0.30% of Ni, 0.15%-0.25% of Mo, 0.02%-0.03% of Nb, 0.05%-0.10% of V, less than or equal to 0.20% of Cu and the balance of Fe and impurities. The production process route comprises ecological electric furnace smelting, LF refining, RH refining, continuous casting, heating, rolling, heat preservation and heat treatment. The smelting process flow of ecological electric furnace smelting, LF refining and RH refining is adopted, the high steel purity index is achieved, and the alloy structural steel bar has the excellent comprehensive mechanical property and meanwhile has the high surface quality level.

According to the intelligent alloy quality diagnosis system provided by the invention, a collaborative optimization architecture integrating data acquisition, processing, analysis and service application is constructed, so that multi-source data fusion and intelligent decision-making in the whole alloy smelting process are realized, and quality diagnosis, fault early warning and process optimization can be organically integrated; and an optimization strategy is fed back to a production process control system in real time to form closed-loop control, so that the quality stability of an alloy product, the adaptive capacity of the technological process and the overall optimization level of production benefits are remarkably improved.

The invention relates to the technical field of high-temperature alloys, and provides a low-segregation high-temperature alloy and a control method for segregation defects of the high-temperature alloy, and the control method comprises the following steps: S1, according to the ingot type size of a high-temperature alloy vacuum consumable ingot, determining the height of the high-temperature alloy vacuum consumable ingot corresponding to the reduction of the melting speed in a vacuum consumable steady-state smelting period; according to the content range of segregation elements in the high-temperature alloy, the melting speed decreasing range is determined; according to the ingot shape size of the high-temperature alloy vacuum consumable ingot, the helium pressure drop range in the heat top sealing period is determined; and S2, carrying out vacuum consumable smelting on the high-temperature alloy according to the vacuum consumable smelting process determined in the step S1. According to the control method provided by the invention, the problem of black spot control of high-temperature alloy vacuum consumable ingots with different ingot types and alloy component marks is solved, and the low-segregation high-temperature alloy consumable ingots are prepared.

The invention relates to the technical field of secondary metal smelting, in particular to a metal smelting regeneration uniformity improving method and system based on electromagnetic stirring, and the method comprises the steps that temperature, density and flow field data in the smelting process are collected, a finite element is used for analyzing a multi-physical field coupling model, and a non-uniform area in a furnace is recognized; formulating a zone heating strategy, and adjusting the heating power and time sequence of each zone to realize uniform distribution of a temperature field; by adjusting electromagnetic stirring parameters, molten metal is driven to circularly flow, and density layering is eliminated; nozzles are uniformly arranged at the bottom of the smelting furnace for pulse injection of inert gas to homogenize smelted metal at the bottom of the smelting furnace; and by applying mechanical vibration, migration of impurities and bubbles is promoted, the metal mixing uniformity is further improved, and the quality of the regenerated metal is remarkably improved.

The invention discloses a method for improving the molybdenum yield in the direct alloying process of molybdenum oxide, which comprises the following steps of: 1, adjusting the lance position of an oxygen lance, and detecting a sonar slagging curve and a CO curve: judging the foaming performance of slag by combining sonar slagging and a furnace gas CO curve in the smelting process; step 2, molybdenum oxide is added, bottom blowing is enhanced, and the lance position of an oxygen lance is reduced; and step 3, the lance position is further reduced, the lance position is reduced to 0.1-0.3 m below the basic lance position, the decarburization speed is increased to 0.3% / min or above, volatilization of molybdenum oxide is inhibited through slag foaming and high CaO content, and the yield of molybdenum is increased. The slag composition and foaming performance are controlled by adjusting the lance position of the oxygen lance, the slag foaming performance is judged by combining sonar slagging and a furnace gas CO curve, a molybdenum oxide raw material is added when the slag foaming performance is good, and meanwhile volatilization of molybdenum oxide is inhibited through slag foaming and high CaO content. The sublimation of molybdenum oxide is effectively prevented, the yield of metal molybdenum can reach 95% or above, and the production cost of the molybdenum-containing steel grade is reduced.

The invention relates to a control method for increasing the boron content in a forge piece through double-vacuum smelting of 2.25 Cr1Mo0.25 V steel, belongs to the technical field of smelting, and solves at least one of the problems that in an existing 2.25 Cr1Mo0.25 V steel smelting process, the boron content cannot reach the effective effect content, the boron content fluctuation between heat times is large, and an existing boron control process is incompatible with a 2.25 Cr1Mo0.25 V steel double-vacuum process. A control method for improving the boron content in a forge piece through double vacuum smelting of 2.25 Cr1Mo0.25 V steel comprises the steps that vacuum carbon deoxidation refining is conducted, specifically, slagging, diffusion deoxidation, alloying, vacuum treatment, component fine adjustment and soft blowing are conducted on molten steel, and key element adding is conducted; and the vacuum casting comprises preparation before casting and vacuum casting protection. According to the method, the effective boron content is increased, the boron content fluctuation among the heats is reduced, and the process compatibility is good.

A dynamic control method and apparatus for an electric arc furnace smelting state, a device, and a medium. The method comprises: collecting smelting data generated by an electric arc furnace during a smelting process; and, calculating an arc length and a foamed slag height using the smelting data, further determining a submerged arc condition of the electric arc furnace on the basis of the arc length and the foamed slag height, and adjusting smelting parameters of the electric arc furnace on the basis of the condition; or, calculating differences between data sub-items and corresponding historical warning thresholds, and adjusting smelting parameters of the electric arc furnace on the basis of the calculation results. The method achieves real-time monitoring and intelligent analysis of the smelting state of the electric arc furnace, ensures the flexibility and efficiency of electric arc furnace operation, and improves energy utilization.

The invention relates to a method for intelligently detecting the service life of a furnace lining in a non-ferrous metal smelting process based on multi-modal deep learning, and the method comprises the steps: collecting multi-modal data during the operation of a non-ferrous metal smelting furnace, and carrying out the preprocessing of the multi-modal data; fusing the preprocessed data, and performing depth feature extraction and anomaly detection on the fused data; based on the extracted depth features and the anomaly detection result, multi-physics field inversion and temperature distribution reconstruction are carried out, and internal radiation heat exchange temperature and furnace lining inner wall temperature distribution are obtained; and according to the internal radiation heat exchange temperature and the temperature distribution of the inner wall of the furnace lining, furnace lining remaining service life prediction and health state evaluation are carried out. The invention aims to realize high-precision detection and life prediction of the furnace lining state by fusing various sensor data and an advanced deep learning algorithm, so that the production efficiency is improved, the maintenance cost is reduced, and the safety of the production process is enhanced.

The invention discloses a method for producing ultra-low carbon steel by an electric furnace process, which comprises the following steps: in the electric arc furnace smelting process, blowing carbon powder and CO2 by using a carbon gun, tapping after the component temperature of molten steel reaches the standard, and adding lime and limestone in the tapping process to obtain primary molten steel; slagging off after a steel ladle enters an LF station, adding aluminum slag into an LF furnace for slag modification, raising the temperature to heat molten steel, and discharging from the station to obtain LF refined molten steel; after a steel ladle enters an RH station, vacuumizing, using argon as circulation gas, spraying metal oxide powder and O2 by using a top lance, carrying out deep decarburization and denitrification at the same time, adding a metal material in the final stage of RH furnace refining to carry out deoxidation alloying, and then breaking vacuum and leaving from the station to obtain RH refined molten steel; and the steel ladle enters a continuous casting station for casting, and the ultra-low carbon steel is obtained. The method can solve the technical problem of producing ultra-low carbon steel in an electric furnace process, and is good in product quality and high in production efficiency.

The invention relates to the technical field of flue gas treatment and waste heat utilization in the non-ferrous metal smelting process, and discloses a multi-kiln flue gas multi-target collaborative intelligent dynamic allocation method and system.The method comprises the steps that original data are collected in real time, and a multi-source flue gas time sequence data set is generated through processing; establishing a multi-furnace flue gas mixing mechanism model, and fusing the data driving model to carry out deviation correction to form a prediction model; and a comprehensive multi-objective optimization function is constructed, safety constraint conditions are defined, the opening degree of each baffle, the rotating speed of an induced draft fan and the optimal set value of a flow dividing valve are calculated in real time through a prediction model prediction control algorithm, and dynamic allocation of stable acid making inlet flue gas parameters and efficient waste heat recovery is achieved. The system comprises a data preprocessing module, a prediction model construction module and a constraint condition construction module. Efficient, stable and low-carbon emission of the smelting flue gas is achieved, and the energy utilization efficiency and production benefits of the whole metallurgical process are improved.