569 results about "Steel mill" patented technology

The invention provides a process for recovering various valuable elements such as lead, zinc, silver and potassium from soot of a steel mill. The process comprises the following steps of water leaching, fluorine removal, high-temperature concentration, primary cooling crystallization, secondary cooling crystallization, secondary leaching, ammonia leaching and ammonia distillation. According to the recovery process, potassium in the soot of the steel mill is recovered in the form of potassium chloride, zinc is recovered in the form of zinc sulfate, silver is recovered in the form of silver chloride, only auxiliary materials such as sulfuric acid, ammonia water and calcium chloride which are low in price are used in the whole recovery process, the cost is low, no waste water or waste residues are generated in the whole process, the direct recovery rate of lead and zinc is 95% or above, and the production cost is low. The direct recovery rate of silver is 98% or above, and the method has practical application value.

The invention provides an automatic management system and method for a steel plate warehouse area, and relates to the technical field of industrial automation and intelligent warehousing, and the system comprises a steel plate recognition warehousing module, a warehouse area division module, an informatization warehousing module, an automatic crane and a warehouse management system. Through an efficient automation technology and an intelligent management strategy, the operation efficiency and the storage utilization rate of a steel plate storage area are remarkably improved, the deflection problem caused by mixed storage of steel plates of multiple specifications is effectively avoided, accurate carrying is achieved, manual intervention is reduced, and the system is widely applied to the fields such as shipyards and steel mills with complex steel plate management requirements and has high popularization value. And the production efficiency and the operation safety are comprehensively improved.

The invention relates to a molten steel slag centrifugal granulation treatment and waste heat recovery system which is characterized in that a slag inlet is formed in the top of a centrifugal granulation bin, a rotating disc and a rotation driving motor are arranged in the centrifugal granulation bin, the rotating disc is arranged below the slag inlet, and the rotating disc is driven by the rotation driving motor; the low-melting-point eutectic metal self-flowing bed waste heat boiler is arranged below the centrifugal granulation bin, a self-flowing bed waste heat boiler heat exchange pipe is arranged in the low-melting-point eutectic metal self-flowing bed waste heat boiler, and low-melting-point eutectic metal is loaded in the self-flowing bed waste heat boiler heat exchange pipe. High-grade waste heat recovery of the high-temperature molten steel slag is achieved, the blank of heat energy recovery of a steel mill is filled up, and energy conservation, emission reduction and carbon reduction of the steel mill are greatly promoted. The two links of centrifugal granulation treatment and waste heat recovery are comprehensively and integrally designed, the structure is simpler and more compact, the efficiency is higher, operation is easy and convenient, the production implementation process is safe, and the device can be applied and popularized in ferrous metallurgy enterprises.

The invention provides a station-level production optimization scheduling system for a steel plant, which comprises a steelmaking MES subsystem, a crown block logistics subsystem, an equipment management subsystem and a process control subsystem in an input layer, and further comprises a real-time communication subsystem, a production rhythm tracking subsystem and a production optimization scheduling subsystem in a middle layer, the system further comprises an intelligent bun preparing subsystem, a vehicle dispatching subsystem and a working procedure process control subsystem of the output layer. Wherein the production optimization scheduling subsystem receives a production plan or adjustment of the MES subsystem, and obtains a process package arrival / departure signal of the crown block logistics subsystem, a process smelting process of the process control subsystem, an equipment maintenance plan of the equipment management subsystem and trigger scheduling dynamic adjustment at the same time. According to the system, production plan scheduling is taken as a research object, ordered production of a production plan is realized through static scheduling and dynamic adjustment, and meanwhile, consistent scheduling of the production plan scheduling, vehicle scheduling and molten steel tank package allocation is established.

The invention discloses an industrial park micro-grid optimization scheduling method based on electric furnace load active adjustment. The method comprises the following steps: constructing an economical operation objective function for generating power by using a thermal power generating unit to share blast furnace gas of a steel mill; dynamically adjusting the maximum exchange power between the micro-grid and the public grid by iterating the shrinkage constraint, and calculating a minimum feasible value to reduce basic electricity price expenditure; taking the gear of the electric furnace transformer as an adjusting variable, and constructing a load adjusting constraint model containing a fixed load and an adjustable load; the micro-grid adopts a double-bus topology, power mutual assistance is realized through a back-to-back converter, and a distributed power supply, an energy storage system and a new energy power generation set are configured. The method can efficiently utilize energy and reduce the operation cost; the public network expenditure is reduced by dynamically optimizing power exchange; the system flexibility is improved by flexibly regulating and controlling the load; new energy fluctuation is stabilized, and stability is enhanced; the double-bus structure realizes grid-connected and off-grid switching, improves reliability, and is suitable for iron and steel enterprises to improve the utilization rate of renewable energy sources and reduce operation cost.

The invention relates to a flue gas circulation waste heat utilization type steel mill solid waste treatment process, which specifically comprises the following steps: mixing a solid waste raw material with fuel, pretreating, feeding into a rotary kiln, reacting in the rotary kiln to generate first flue gas, cooling the first flue gas, and purifying in a desulfurization process to form second flue gas, the third flue gas enters a cooling section of the rotary kiln, and iron-containing materials in the rotary kiln are cooled to form fourth flue gas; the fourth flue gas and the first air enter the second waste heat utilization device and then are subjected to non-contact heat exchange to form fifth flue gas, the first air is subjected to heat exchange through the second waste heat utilization device to form second air, the second air and the gas fuel enter the high-temperature calcination section of the rotary kiln to be combusted to form the first flue gas, and therefore cyclic utilization is achieved. And the third flue gas is adopted as the cooling flue gas to cool the high-temperature iron-containing material in the cooling section of the rotary kiln, so that the problem that the zero-valent iron reduced by the rotary kiln is easily oxidized into iron oxide again is solved.

The invention belongs to the field of industrial noise control, and relates to an echo cancellation and noise reduction method and system for environmental sound of a steel mill workshop. The method comprises the following steps: (1) acquiring a sound signal of an on-site monitoring point in a steel mill workshop environment in a working process in real time; the field monitoring point comprises each noise source and each target source; (2) aligning the original sound signal and the workshop echo signal from the same on-site monitoring point in time to obtain an aligned signal; (3) filtering the aligned signal obtained in the step (2) so as to suppress noise and echo signals superposed in a channel; and (4) training a neural network mask, processing the sound signal by using a mask frequency domain to suppress a residual noise signal, and outputting a clean sound signal. According to the method provided by the invention, the application limitation of a traditional sound noise reduction technology in a complex industrial environment is effectively solved.

The invention discloses an intelligent measurement and control method based on big data, and the method comprises the following steps: 1, collecting flue gas and dust in the whole production process of a refining workshop of a steel mill by combining a differential exhaust fume collecting hood with a furnace front flow guide hood, and conveying the collected flue gas and dust to a dust removal measurement and control equipment terminal through a dust removal pipeline; 2, diffusing and expanding the flue gas along with the completion of each engineering sequence in the refining process of the steel mill, and analyzing key influence factors in a dust trapping stage; 3, dust removal parameter management of different dust removal measurement and control equipment terminals is carried out based on the flue gas dust concentration value; 4, analyzing the influence of working conditions on the dust concentration of the dust removal measurement and control equipment terminal by changing atomization conditions including water pressure and air pressure, and determining the optimal working condition of the whole dust removal measurement and control equipment terminal; the problem of measurement and control data errors caused by gradual reduction of the measurement and control precision of the dust removal measurement and control equipment is solved, and the method has the characteristic of improving the reliability and the precision of the measurement and control equipment in the dust removal environment.

A gas resource utilization balance control system and control method based on a steel plant, belonging to the technical field of energy conservation and carbon reduction, solves the technical problem of gas resource waste in the existing gas pipeline network. The present invention is implemented through the following technical scheme: a gas resource utilization balance control system based on a steel plant, which is arranged in parallel with the existing energy consumption pipeline network system, and the existing energy consumption pipeline network system includes a number of user ends arranged in parallel and a gas release system arranged in parallel with the user ends; wherein: the gas resource utilization balance control system includes a gas system, a heat storage system, a power generation system and a power generation coupled with heat storage balance control device; the gas system includes a built-in boiler of a gas unit, and the heat storage system includes a heat storage device and a water supply pump. The present invention has the advantages of safety and practicality, reasonable design, environmental protection and high efficiency, and is suitable for large-scale promotion.

The present invention discloses a zero-emission process for the coordinated treatment of multi-source wastewater in a steel mill. This process features zero-emission selective separation of desalted water and coal gas condensate from a softening station, recovery of natronasite from cold-rolling rinsing wastewater using high-pressure nanofiltration concentrate, coordinated treatment of high-pressure reverse osmosis concentrate with desulfurization wastewater and high-salt solid waste ash, and low-cost treatment of ammonia and nitrogen. The coordinated treatment of multi-source wastewater and high-salt solid waste ash significantly reduces the pollutant content in ash washing water, thereby reducing subsequent wastewater treatment costs and wastewater usage, significantly lowering the disposal costs of solid waste and wastewater, and achieving internal consumption and zero-emission of multi-source wastewater.

The invention discloses a coal gas / oxygen consumption prediction method and system suitable for a steel plant and a medium. The method comprises the steps that the coal gas / oxygen consumption of the steel plant and historical sequence data of influence indexes highly related to the coal gas / oxygen consumption are obtained; training an attention mechanism-based improved Elman neural network by using the acquired historical sequence data to obtain a coal gas / oxygen consumption prediction model; and acquiring real-time monitoring sequence data of the coal gas / oxygen consumption and the influence indexes highly related to the coal gas / oxygen consumption, and inputting the real-time monitoring sequence data into the coal gas / oxygen consumption prediction model to obtain a predicted value of the coal gas / oxygen consumption at a future moment. According to the method, the coal gas / oxygen consumption and the influence index data highly related to the coal gas / oxygen consumption are used as model input, and an attention mechanism is introduced to adopt different attention degrees for various inputs, so that the coal gas / oxygen consumption prediction precision can be further improved, and accurate and rapid real-time coal gas / oxygen consumption prediction is realized.

The invention discloses an ultrahigh-strength wire rod salt bath heat treatment quality control method which is applied to the technical field of wire rod heat treatment and is suitable for developing high-end wire rod varieties such as bridge cables and ultrahigh-strength prestress wire rods in steel mills and deep processing enterprises. Forming a database according to the trademark of the wire rod, the component fluctuation, the salt bath heat treatment process and the wire performance corresponding to each wire of salt bath heat treatment, and establishing a relation model between the performance and the influence factors of the wire rod; performing concentration and analysis according to requirements of order users on wire performance; carrying out centralized production on the user orders which can share one salt bath heat treatment process; performing performance test on the head and the tail of the wire subjected to salt bath heat treatment, recording performance data into a salt bath heat treatment database, and continuing to enrich a performance model; according to the method, the production organization mode of traditional off-line salt bath heat treatment is eliminated, and stable control over the quality of the salt bath heat treatment wires is achieved.

The invention provides a novel four-roll hot mill roll bending device which comprises a working roll, a supporting roll, a rack, an operation side fixing block, a transmission side fixing block, a roll shifting cylinder, an operation side moving block and a transmission side moving block, bearing seats of the working roll and the supporting roll are in contact connection through a base plate, a hydraulic cylinder acts on the bearing seat of the supporting roll and abuts against the base plate, and the base plate is in contact connection with the hydraulic cylinder. The operation side fixing block and the transmission side fixing block are fixedly installed on the machine frame, the roll shifting cylinder is installed on the operation side fixing block, and one end of the roll shifting cylinder is connected with the operation side fixing block. The operation side moving block is arranged on the operation side fixing block in a sliding mode and connected with the roll shifting cylinder through a locking pin shaft. The transmission side moving block is arranged on the transmission side fixed block in a sliding manner; and the operation side moving block and the transmission side moving block are connected with the working roll bearing seat through the bearing seat locking device. Roll bending control is carried out on the supporting roll and the working roll at the same time, the surface quality and the yield of the plate blank are improved, and the key effect is achieved on production and efficiency improvement of a steel mill.

The invention discloses a steel mill pickling filter cake roasting device, and relates to the technical field of roasting, the steel mill pickling filter cake roasting device comprises a furnace body, the top and the bottom of the furnace body are respectively provided with a feeding valve pipe and a discharging valve pipe used for feeding and discharging materials, a furnace chamber used for roasting the materials is arranged in the furnace body, a furnace hearth is arranged in the furnace chamber, and the furnace hearth is used for receiving the materials for roasting operation; a vibration driving mechanism and a material driving mechanism are mounted in the furnace body; a driving rotating shaft is installed in the furnace body and controls the vibration driving mechanism and the material driving mechanism to operate at the same time. The vibration driving mechanism is installed in the furnace body and can drive the furnace hearth to vibrate, so that discharging in the furnace is convenient, material accumulation can be prevented, the roasting effect is guaranteed, the material driving mechanism and the vibration driving mechanism in the device are driven and controlled through the same driving rotating shaft, and therefore the operation frequencies of the material driving mechanism and the vibration driving mechanism are matched, and the roasting effect is improved. And the overall transferring and roasting speed of the materials can be adjusted according to actual roasting requirements, and the applicability of the device is improved.

The invention relates to the field of industrial anti-interference, in particular to an industrial network working condition coupling frequency spectrum avoiding method and system. The method comprises the following steps: constructing a main / sub-network spectrum interference coupling matrix, fusing multi-node spectrum data to generate a global map, and establishing a conflict probability model to screen a high-risk frequency band; and generating an optimal frequency band matching pair and a reconfiguration instruction set based on the cost matrix and a Hungary algorithm, and finally optimizing an avoidance strategy by taking throughput improvement and interference suppression as rewards by using a Q learning model. According to the invention, the problem that the network coupling relationship is not considered in the traditional spectrum management is solved, the dynamic refined management of spectrum resources in industrial scenes such as iron and steel plants is realized, the interference influence is obviously reduced, and the network communication quality and reliability are improved.

The invention relates to the technical field of ceramics, and particularly discloses green special refractory ceramic slurry as well as a preparation method and application thereof. The green special refractory ceramic slurry is prepared from aluminum oxide, methyltrimethoxysilane-phosphoric acid modified polysiloxane, fluorocarbon emulsion, expanded vermiculite powder, silane coupling agent modified feldspar tailing powder, a dispersing agent, an organic silicon defoaming agent, a polyurethane curing agent and deionized water. After being sintered, the green special refractory ceramic slurry provided by the invention has excellent high-temperature stability, corrosion resistance, thermal shock resistance and mechanical strength, and solves the problems of low high-temperature-resistant upper limit and poor corrosion resistance of the traditional slurry, so that the sintered ceramic adapts to severe high-temperature working conditions such as steel plant converter liners and chemical high-temperature reaction kettle inner walls; and long-term protection requirements of industrial equipment are met.

The invention discloses a method for sequestration of carbon by using strong brine wastewater of a steel plant and a used device, and belongs to the technical field of tempering co-production process production. The method comprises a sodium carbonate production process I and an ammonium chloride production process II which form a cycle; raw materials NH3, salt NaCl and gas carbon dioxide are continuously added into the circulating system, and meanwhile sodium carbonate and ammonium chloride products are continuously produced; the raw material carbon dioxide comes from steel mill blast furnace top gas, steel rolling heating furnace tail gas or lime kiln tail gas; the raw material salt NaCl comes from concentrated salt wastewater of a steel mill; the raw material NH3 is from a byproduct coke oven gas generated in the production process of a steel enterprise and a coking plant. According to the method, sodium carbonate is prepared by fully utilizing three wastes, the situation that soxhlet and Hou's alkali production is adopted in the traditional alkali production industry to damage natural ecology and generate a large amount of waste gas, waste water and waste residues is broken, and double protection of resource recycling and environment is realized.

The invention discloses a low-cost production method of a cold-rolled low-carbon steel strip with high plastic deformation capacity, and belongs to the field of manufacturing of household appliances and steel furniture. According to the method provided by the invention, chemical components and process parameters of the cold-rolled low-carbon steel strip are optimally controlled, so that the plastic deformation capacity of the cold-rolled low-carbon steel strip can be improved (the ductility is greater than or equal to 50.0%) while the cold-rolled low-carbon steel strip is kept to have relatively high strength, the production cost is reduced, and the profitability of a steel mill is further improved.

The utility model relates to the technical field of conveyors, in particular to a belt conveyor for a steel mill, which comprises a frame, a mounting frame, a separating mechanism and a collecting mechanism, an electric drum, a carrier roller and a permanent magnetic drum are arranged on the frame, a conveying belt is sleeved on the electric drum, the carrier roller and the permanent magnetic drum, and the separating mechanism comprises a lifting rod, a lifting plate, a knocking rod, a motor, a turntable and a connecting rod; the collecting mechanism comprises a waste box, an iron slag box and a scraping assembly; the scraping assembly comprises a mounting plate and a scraping plate; the motor drives the lifting rod to move up and down through the rotary disc and the connecting rod, the lifting rod drives the knocking rod to move up and down through the lifting plate to knock the conveying belt, waste and iron slag shake on the conveying belt, and the iron slag is attracted and attached to the surface of the conveying belt through cooperation with the permanent magnet roller. The situation that part of waste materials are pressed on the conveying belt under the adsorption of the permanent magnet roller and fall into the iron slag box along with the iron slag is avoided; therefore, the waste materials and the iron slag are better collected into the waste material box and the iron slag box respectively.

The present invention relates to a method for recycling steel slag generated in a steelmaking process in a steel mill as sorbent for capturing acid pollutants comprising HCl, HF, SOx and / or NOx from a flue gas. In order to increase the efficiency of capturing nitrogen oxides the steel slag should comprise crystalline calcium silicate and calcium magnesium silicate phases. Moreover, the method for producing the sorbent should comprise the step of producing a particulate steel slag material from said steel slag which has a first particle size distribution with a D50 sieve size value which is smaller than 70 µm and a first specific surface area; and the step of increasing the first specific surface area of the particulate steel slag material to a second specific surface area which is higher than 5 m² / g by carbonating the particulate steel slag material by means of a gas comprising carbon dioxide. The flue gas is then contacted with at least a portion of the carbonated particulate steel slag material as said sorbent to capture said acid pollutants in the carbonated particulate steel slag material.

The invention relates to the technical field of gas-liquid treatment, and discloses a carbon dioxide trapping and wastewater recycling treatment method based on a cavitation air flotation method, which comprises the following steps: S1, flue gas of a blast furnace and a hot blast stove in an iron and steel plant is communicated with an air inlet of a cavitation air flotation fan blade through a flue gas channel, and the fan blade rapidly rotates to generate a negative pressure environment underwater; the method comprises the following steps: (1) adding a liquid into a cavitation air floatation tank, enabling flue gas to enter the liquid through fan blades, and dispersing the flue gas through the fan blades to form microbubbles, (2) injecting whole-plant comprehensive wastewater containing calcium and / or magnesium ions in a steel plant into the cavitation air floatation tank, and enabling carbon dioxide in the flue gas to react with the calcium and magnesium ions in the wastewater to form precipitates; according to the method, a brand new thought is provided, the wastewater and the flue gas of the steel mill are subjected to economic cooperative treatment, and compared with a traditional flue gas treatment method, the method provided by the invention has the advantages that the process of carbon dioxide absorption and wastewater treatment is more simplified, the mass transfer efficiency is enhanced, and meanwhile, the difficulty of collection after precipitation of calcium and magnesium ions in water is reduced.

The utility model discloses a chemical looping reaction system for co-processing sintering flue gas and coal gas, which comprises a sintering flue gas reactor, the upper part of the sintering flue gas reactor is connected with a first gas-solid separator, the lower part of the first gas-solid separator is connected with a first material return valve, the first material return valve is connected with a coal gas reactor, and the middle lower part of the coal gas reactor is provided with an overflow port; the overflow port is connected with the sintering flue gas reactor through an overflow pipe, and the sintering flue gas reactor and the coal gas reactor are filled with oxygen carriers. The device has the beneficial effects that the sintering flue gas and various coal gases of the steel mill can be cooperatively treated; heat and oxygen of the sintering flue gas are recycled; pollutants such as NOx, SO2, CO and dioxin in the sintering flue gas are treated; high-quality steam is produced for heat supply or power generation; and CO2 generated by coal gas combustion is enriched.

The invention relates to the field of carbon emission management, in particular to a steel mill carbon emission management method and device, and the method comprises the steps: obtaining and preprocessing energy carbon big data, and obtaining standardized data; and carrying out segmentation processing on the standardized data, determining the number of segments, obtaining representative points, and mapping the data points to the nearest representative points. A local density of the representative point is determined based on the distance between the data point and the representative point and the global density. And obtaining the single estimation density of each data point through a weighted summation mode, and adjusting a preset sample neighborhood distance threshold by using the density to determine a significant data range. And local data points are screened in a significant data range, the number of neighborhood data points is determined, a clustering process is completed, and abnormal conditions are identified. According to the method, the calculation complexity is effectively reduced, the clustering accuracy is improved, meanwhile, abnormal data in the energy-carbon big data can be reliably recognized, support is provided for energy-carbon energy-saving decision making, and therefore management and control over carbon emission of a steel plant are achieved.

The invention provides a fault real-time detection method and device, equipment and a medium, and the method comprises the steps: obtaining the operation state data of at least one piece of steel mill equipment, and carrying out the standardization processing, and generating standardized data, dividing the standardized data into four operation stages of raw material preparation, smelting processing, forming processing and shutdown according to the operation stages; four data queues are constructed on cache equipment, data flow fluctuation coefficients are calculated according to the standardized data cache inflow rates of the four data queues and the residual capacity of the cache equipment, and cache strategies of the four data queues are adjusted according to the data flow fluctuation coefficients; and respectively inputting the standardized data of the four data queues into corresponding equipment fault judgment models for processing to obtain fault data, wherein each equipment fault judgment model comprises a first rule layer and a second rule layer. And the real-time fault detection effect is improved through caching in stages and dual judgment of a static threshold value and a dynamic threshold value.

The invention provides a calcium-based desulfurizer. The calcium-based desulfurizer comprises CaO, fly ash and a waste refractory material. According to the desulfurizing agent provided by the invention, waste refractory materials and fly ash in a steel mill are utilized, so that the utilization of waste resources is realized. Wherein the added alumina-carbon refractory material and fly ash can form low-melting-point calcium aluminate salt and silicate with CaO in the desulfurized slag, the fluidity of the slag is improved, rolled iron and wrapped iron of the desulfurized slag are reduced, the consumption of steel and iron materials is reduced, in addition, the fly ash and the alumina-carbon refractory material also contain part of C element, the dissolution of the carbon element can recarburize semi-steel, more heat sources are provided, and the service life of the semi-steel is prolonged. And the addition amount of the scrap steel is increased.

The invention discloses a steel cloud warehouse inventory and income prediction system based on deep learning. The system integrates multi-source data, and realizes the fusion of inventory, market, economy and policy data through a data acquisition and preprocessing module; a convolutional neural network, a recurrent neural network and a variational auto-encoder are adopted to perform multilevel feature extraction and analysis on inventory data; constructing and analyzing a relation network between agents and steel mills by using a graph neural network, identifying key nodes and evaluating the influence of the key nodes on inventory and financial income; through a multi-factor financial model and an optimization framework, system parameters are dynamically adjusted, and enterprise financial incomes are optimized. The system outputs visual prediction and situation simulation results, and provides high-precision decision support for enterprises. The system provides data support for enterprise supply chain management and financial decision making in a complex market environment.

A method comprising contacting an offgas stream comprising H2, H2O, CO, CO2, and at least one impurity comprising COS with at least one metal oxide to catalyze a reaction of H2O and COS to form H2S and CO2 in the offgas stream; contacting the offgas stream with an H2S-adsorbent to remove H2S from the offgas stream to produce a treated gas stream; and separating the treated gas stream to produce a carbon dioxide-enriched stream and a carbon dioxide-depleted stream.

The invention belongs to the technical field of ferrous metallurgy automation control, and relates to a converter automatic tapping system and method matched with a slag stopping cone for use, the system comprises an automatic control system for controlling converter automatic tapping, an algorithm control system and an image intelligent sensing system, the algorithm control system is connected with the automatic control system, and the image intelligent sensing system is connected with the automatic control system. The intelligent image sensing system is connected with the automatic control system to send an optimal tilting tapping curve, a furnace car dynamic matching position curve and an optimal alloy blanking drop point position curve to the automatic control system, and the intelligent image sensing system is used for detecting the state of the corresponding position in the converter tapping process and is connected with the algorithm control system to send detected state information to the algorithm control system. In a traditional steel mill using a slag stopping cone putting device, the method aims at reducing slag entrapment and tapping time, based on the loading amount of the converter, the precise tapping algorithm model and the image intelligent sensing technology are combined, comprehensive monitoring means are configured, and automation and intelligentization of the whole converter automatic tapping process can be achieved.

The invention discloses a method for refining HRB500E molten steel in an LF (ladle furnace) by adopting a slag steel particle slagging process. According to the method, the total slag amount needed by LF refining temperature rise is increased by adding a proper amount of slag steel particles into the LF furnace, the total slag amount needed by LF refining temperature rise is guaranteed by adding a large amount of active lime for slagging in LF refining of HRB500E molten steel, and 2.0-3.0 kg of active lime added for slagging in the LF furnace is effectively reduced for each ton of steel. The method solves the problems that slag steel particles obtained after magnetic separation of slag steel in a steel plant return to the sintering process, the number of treatment processes is large, the recycling economic benefit is poor, and the converter smelting metal Fe recovery rate is low, solves the problem that the submerged arc temperature rising effect is poor in the early stage of HRB500E refining, shortens the power supply time of LF refining lower electrode temperature rising, and improves the production efficiency. And the quantity of active lime and pre-melted refining slag added for LF furnace slagging is effectively reduced.

This utility model discloses a baking device for steelmaking plants, including a baking furnace body, a combustion nozzle assembly, and a slag collection trough. The baking furnace body has a feed inlet at the top and a discharge outlet at the bottom. The combustion nozzle assembly is vertically positioned above the interior of the baking furnace body. The slag collection trough is located below the baking furnace body, with an open top connecting to the discharge outlet. The bottom wall of the slag collection trough is inclined, and a spiral slag discharger rotates within it, with its axis parallel to the bottom wall. This utility model adjusts the height of the injection pipe and nozzle by extending and retracting the first cylinder of the combustion nozzle assembly, thus optimizing baking uniformity for materials of different thicknesses. After baking, the slag falls into the slag collection trough through the discharge outlet and slides along the inclined bottom wall towards the spiral slag discharger. The rotating spiral blades, with a variable pitch structure, push the slag towards the outlet, improving slag discharge efficiency.