86 results about "Iron industry" patented technology

The invention relates to a magnesia-carbon refractory material with high thermal shock resistance and erosion resistance and a preparation method thereof. The magnesia-carbon refractory material with high thermal shock resistance and erosion resistance is prepared from fused magnesia aggregate, fused magnesia fine powder, silicon powder, crystalline flake graphite, Al2O3-MgO-CaO core-shell structure raw materials and phenolic resin. The Al2O3-MgO-CaO core-shell structure raw materials are prepared by the following steps: uniformly mixing calcium carbonate, magnesium hydroxide and alumina micro powder by adopting a planetary ball mill, and then carrying out granulation treatment by adopting a disc granulator by taking polyvinyl alcohol as a binding agent, so as to obtain core particles; and mixing the inner core particles and the alumina micro powder by taking alumina sol as a binding agent, and further sintering to obtain the core-shell structure raw material. The Al2O3-MgO-CaO core-shell structure raw material is utilized to improve the comprehensive performance of the magnesia-carbon refractory material, and the prepared magnesia-carbon refractory material has excellent thermal shock resistance and slag corrosion resistance and can meet the requirements of the current steel industry for the magnesia-carbon refractory material.

The invention relates to the technical field of sintering technology and environmental resources in the iron and steel industry, in particular to a method for recycling sintered waste activated carbon powder, which comprises the following steps: mixing waste activated carbon powder with a flux and iron ore concentrate to prepare small balls with different carbon contents; the method has the beneficial effects that the waste activated carbon is efficiently and fully utilized in the longitudinal sintering direction, and the purposes of reducing the consumption of sintering solid fuel, improving the sintering efficiency and improving the sintering quality are achieved. Heat required by effective mineralization of the upper portion and the edge of the sintering trolley is improved, the quality of sintered ore on the upper layer and the edge of the sintering trolley is improved, and finally the purpose of reducing production and operation cost is achieved.

The invention provides a method for improving the reduction performance of pyrolytic carbon in biological sludge and application of the pyrolytic carbon in reduction of steel dust and sludge, and aims at solving the problems of high energy consumption and high carbon emission of a traditional reducing agent in the steel industry and promoting efficient utilization of biomass resources in the field of steel and iron metallurgy. The method comprises the following steps: extracting biological sludge carbon through a toluene solvent to remove oil, and deashing through a sulfuric acid solution, so that the adsorption capacity and catalytic performance of the biological sludge carbon are enhanced, and the reduction efficiency of the biological sludge carbon in the ferrous metallurgy process is improved. The biological sludge carbon subjected to dust removal and oil removal treatment has the specific surface area of 159 m < 2 > / g, the pore volume of 0.14 cm < 3 > / g and the average pore size of 3.4 nm, the specific surface area is remarkably increased, the metallization ratio after the reduction reaction is also greatly improved, and the effectiveness of the method in the aspect of improving the reduction performance of the biological sludge carbon is proved. The carbon emission of the iron and steel industry can be reduced, and powerful support is provided for sustainable development of the iron and steel industry.

The invention discloses a mixed integer linear programming-based iron and steel industry power grid interactive full-process scheduling method. The method comprises the specific steps of S1, constructing a dynamic balance equation and an energy storage equipment dynamic management model; s2, establishing a multi-energy coupling collaborative optimization model; s3, setting a target function, an energy storage equipment constraint condition and a key equipment power constraint condition; s4, embedding a demand response load adjustment model; and S5, based on the model embedded in the step S4, solving by using a mixed integer linear programming algorithm to obtain an optimal scheduling scheme. According to the iron and steel industry power grid interactive full-process scheduling method based on mixed integer linear programming, by constructing an iron making-steel making-rolling full-process energy flow dynamic coupling model, secondary energy balance of coal gas, steam and the like and power grid demand response instructions are integrated, and collaborative optimization of energy and production between processes is achieved.

The invention relates to the technical field of steel industry, and discloses a multi-specification self-adaptive temperature control rolling process in a bar rolling process, which comprises the following steps: S1, a blank pretreatment stage, S2, an intelligent heating stage, S3, a high-pressure water descaling stage, S4, a multi-pass rolling stage, S5, on-line size monitoring, S6, a post-rolling controlled cooling stage and S7, a finishing stage. The production change time is shortened, on the basis of a specification-temperature-roll gap correlation model, automatic matching of phi 20-100 mm full-specification parameters is achieved, the production change time is shortened to be within 15 minutes (reduced by 60% or above compared with a traditional process), automatic switching of equipment parameters such as an MES system correlation rolling plan, a water cooling box and descaling pressure is achieved, manual adjustment errors are avoided, the multi-specification production qualification rate is increased to 99.5%, and the production efficiency is improved. According to the scheme, the temperature control precision is improved, the product performance is optimized, the three-section temperature of the heating furnace is controlled through the fuzzy PID algorithm, and the bearing steel heating temperature equalization time is shortened by 30%.

The invention provides a coupling fuzzy control, ORC (Organic Rankine Cycle) and Carnot cell waste heat utilization method and system, which combines a fuzzy T-S model, an ORC and Carnot cell coupling system, and excites an ORC waste heat generator set by using a pseudo-random signal modulated based on a fuzzy model. The implementation process of flue gas waste heat utilization and Carnot cell compensation is monitored, regulated and controlled in real time, the adaptability limitation of a traditional static model on the time-varying characteristic of waste heat parameters is broken through, and coordinated control over multi-level gradient utilization of industrial waste heat and stored energy release is achieved. And the flexibility, the energy efficiency level and the new energy friendly access capability of the energy system are improved. According to the method, a multi-energy-flow collaborative optimization mechanism is constructed based on the fuzzy T-S dynamic clustering algorithm, the flue gas waste heat recovery rate is increased, the waste heat resource gradient utilization efficiency and the energy system operation flexibility are remarkably improved, and an efficient solution is provided for low-temperature waste heat deep recovery in the iron and steel industry.

The invention discloses a belt type roasting desulfurization and denitrification intelligent advanced control system and a control method thereof, and belongs to the technical field of flue gas purification in the iron and steel industry. Aiming at the problems of poor PID control multivariable coordination capability, high energy consumption and large emission fluctuation in the existing pellet production process, the system comprises a data acquisition unit, an APC server and a DCS controller. The data collector generates a dynamic working condition feature vector through multi-source data fusion; the APC server adopts a model prediction control algorithm to establish a coupling relation model of desulfurization and denitrification efficiency and resource consumption, and outputs an optimization target value; and the DCS controller realizes accurate control based on a feedforward-feedback strategy. According to the method, through multivariable collaborative optimization and dynamic weight adjustment, the unit energy consumption of the slaked lime and the ammonia gas is remarkably reduced on the premise of ensuring that the emission concentration of SO2 and NOx stably reaches the standard, and meanwhile the anti-interference capacity and the operation stability of the system are improved.

A system to treat coke oven gas (COG), in particular coke oven gas produced by a steel plant, configured to receive a coke oven gas stream. The innovative system comprises a compression unit (100) configured to receive the coke oven gas stream, to compress it and to discharge a compressed coke oven gas stream; a separation unit (200) configured to receive the compressed coke oven gas stream, perform a hydrogen (=H2) separation and discharge an hydrogen stream and a gas stream comprising methane (=CH4) and other unreacted components of the coke oven gas stream; a pyrolysis unit (300) configured to receive the gas stream comprising methane and other unreacted components of the coke oven gas and perform pyrolysis of the stream comprising methane and other unreacted components of the coke oven gas stream so to discharge solid carbon (=C) and a gas stream comprising hydrogen and other unreacted components of the coke oven gas stream.

This invention relates to the field of iron and steel smelting technology, and specifically provides a rare earth non-magnetic corrosion-resistant steel bar and its manufacturing method. The chemical composition of the rare earth non-magnetic corrosion-resistant steel bar includes: carbon (C) ≤0.20-0.55%, silicon (Si): 0.40%-0.60%, manganese (Mn): 18%-25%, phosphorus (P) ≤0.035%, sulfur (S) ≤0.020%, chromium (Cr): 3%-6%, copper (Cu): 0.10%-0.20%, rare earth elements (La+Ce): 0.013%-0.018%, with the balance being... The production process of rare earth corrosion-resistant steel bars, which contains iron (Fe) and unavoidable impurities, includes: converter steelmaking → LF refining → billet continuous casting. This invention significantly improves the corrosion resistance of steel bars by designing the composition of rare earth corrosion-resistant steel bars, optimizing the refining process, and adding continuous casting wire feeding process. This meets the modern building's demand for high quality and green environmental protection. The enhanced corrosion resistance not only improves the safety of building structures but also extends their service life. In addition, the addition of rare earth elements helps promote the rational development of my country's rare earth resources and drives the steel industry towards green and low-carbon development.

The invention belongs to the technical field of solid waste treatment in the iron and steel industry, and particularly relates to a grate-layer material based on a sintering CSCR flue gas purification system, which takes return mine, metallurgical dust sludge, rolled steel sheet and iron ore concentrate as iron raw materials, desulfurized fly ash as a calcium flux, and magnesium cement as a magnesium flux and a binder. The grate-layer material comprises the following main chemical components in percentage by mass: 53.12% to 59.65% of TFe, 7.00% to 10.00% of FeO, 3.12% to 7.65% of SiO2, 5.02% to 15.68% of CaO, 1.5% to 2.0% of MgO and 1.0% to 2.0% of Al2O3. The method provided by the invention has the beneficial effects that 1) resource utilization of the desulfurized fly ash solid waste is realized, and secondary pollution to the environment is avoided; (2) the use of sintering grate-layer material finished product sinter is reduced, the sintering yield is improved, the consumption of sintering solids is reduced, the utilization efficiency of sintering heat is improved, and the production and operation cost is reduced. And 3) enrichment of S element in iron element flow is reduced by using a sintered activated carbon CSCR flue gas purification system, and the quality of prepared sulfuric acid is improved.

This utility model relates to the field of concentrated brine technology and discloses a concentrated brine concentration device for the steel industry. The device includes a concentration tank with a cover on top and a concentration assembly inside. In this concentrated brine concentration device, steam contacts the liquid as much as possible before entering the outlet, releasing more latent heat. Compared to direct top dissipation or simple heating, this results in a larger heat exchange area, higher heat utilization, and reduced energy consumption. Simultaneously, the steam pipes are heated to prevent their temperature from falling below the waste liquid temperature, thus avoiding cold spots and preventing salt crystallization on lower surfaces, improving heat exchange efficiency. Regular scraping by a scraper removes initial deposits of crystals or soft scale, preventing further accumulation into hard scale, keeping the steam pipes and concentration tank surface clean, improving heat exchange efficiency, and reducing operating energy consumption.

This invention relates to a dynamic scheduling and safe switching control method for nitrogen substitution compressed air supply in steel sintering processes, belonging to the field of energy medium optimization and automation control in the steel industry. It includes: S1 collecting real-time operational data from key gas-consuming points in the sintering area and nitrogen pipeline supply capacity data to establish a gas demand prediction model; S2 the controller dynamically generates a gas supply scheduling strategy based on predicted demand, including peak pre-pressurization, economic decline, and segmented switching logic; S3 executing a three-layer interlocked safety switching control based on pressure, quality, and equipment during the gas supply process; and S4 statistically analyzing and adaptively correcting the operational data through an operational evaluation module. This invention upgrades nitrogen substitution gas supply from static substitution to dynamic scheduling based on operating conditions, effectively solving problems such as powder caking, frequent unblocking, and corrosion of precision instruments caused by water carryover in compressed air during the sintering process. While ensuring safe and stable gas supply, it significantly reduces energy consumption and operation and maintenance costs.

The invention provides a reagent for treating steel industry membrane concentrated water and a water treatment method, and relates to the technical field of waste liquid treatment.The steel industry membrane concentrated water treatment reagent is prepared from, by mass, 0.8-4.5 parts of a first oxidizing agent, 0.5-3.5 parts of a second oxidizing agent and the balance auxiliary reagents, the first oxidizing agent is composed of 0.3-2.5 parts of sodium peroxide and 0.5-3.5 parts of ozone, the second oxidizing agent is 0.5-3.5 parts of sodium persulfate, and the dosage of the reagent is 3-15 g / L. Ozone is introduced by adopting an ultra-fine bubble technology; when the reagent is used for a water treatment process, ozone and sodium peroxide have a synergistic effect, so that the effect of reducing the COD value in membrane concentrated water is enhanced; an ozone ultra-fine bubble technology is adopted, so that addition of an additional catalyst can be avoided; according to the technology, the COD value of the membrane concentrated water can be effectively reduced, other suspended solids and heavy metal ions are treated, and reuse water meeting the standard is obtained.

The invention discloses a low-carbon steel industrial park network load planning method, system and device and a storage medium, and relates to the technical field of industrial production process optimization, and the method comprises the steps: constructing an analysis model, analyzing a low-carbon comprehensive energy flow path of an iron and steel industrial park, and obtaining an energy network structure; based on an energy network structure, considering constraints in a steel production process, constructing a steel production process model, and obtaining load side demand information of energy equipment; based on the load side demand information of the energy equipment, constructing an operation model of the energy equipment in the steel park, and analyzing technical operation characteristics of energy; the characteristics of the power transmission line are considered, and an extension planning method of the power transmission line based on an improved heuristic gradual extension method is constructed; and carrying out collaborative optimization on the technical operation characteristics of the energy and the extension planning method of the power transmission line to obtain a planning method for the coordination of the extension planning of the power transmission network frame and the steel production time sequence operation simulation. According to the method, the hydrogen energy consumption prediction precision and the coordinated optimization capability of multi-source supply and demand matching are improved.

The invention relates to a blast furnace molten iron temperature prediction and regulation method, and belongs to the technical field of blast furnace ironmaking production methods. According to the technical scheme, the method comprises the steps that relevant parameters of the blast furnace molten iron temperature are collected, preprocessed, normalized and subjected to feature engineering processing, and a KAN-LSTM-Attention molten iron temperature prediction model is constructed; relevant regulation and control rule knowledge of the blast furnace molten iron temperature is collected, and a rule base containing fuzzy judgment rules and operation rules is constructed in combination with production data and expert experience; and dynamic optimization of the rule base is realized through a fuzzy control method, a molten iron temperature decision model is constructed, fuzzy reasoning and defuzzification operation are performed based on a predicted difference value and related parameters, and an optimal control strategy is selected to realize closed-loop regulation and control of the molten iron temperature. The method has the advantages that the model structure is simplified, deployment feasibility is improved, and accurate control over the temperature of the molten iron in the iron and steel industry is achieved.

The invention relates to a process for producing a converter slagging agent by using electrolytic aluminum iron removal slag, the slagging agent required by converter steelmaking is produced by using the iron removal slag generated in the electrolytic aluminum industry and adding part of active substances, and the slagging agent is used in the earlier stage and the middle stage of converter steelmaking, so that the converter slagging speed is increased, the converter slagging effect can be maintained, and the converter slagging agent can be used in the converter steelmaking process. And meanwhile, the process effect of later-stage slag splashing furnace protection of the converter can be optimized, a process method with high competitiveness is developed for large-scale treatment of hazardous waste generated in the electrolytic aluminum industry in the steel industry in China, and the technical advantage of cross innovation in different technical fields is manifested.

The invention discloses a method for preparing iron-containing furnace charge from high-proportion specular iron ore concentrate in a near-zero-carbon mode, and belongs to the technical field of ferrous metallurgy. According to the method, after surface activation pretreatment is conducted on the specular iron ore concentrate, the specular iron ore concentrate is evenly mixed with iron-containing and carbon-containing dust and magnetite concentrate, and then the mixture is further evenly mixed with an organic-inorganic composite binder and water to form a mixed material; carrying out compression molding and low-temperature consolidation on the mixture to obtain a cold-pressed block; according to the method, the high-proportion specular iron ore concentrate can be prepared into the cold pressing block which is high in strength, good in reduction performance and low in reduction expansion, and compared with an existing specular iron ore concentrate high-temperature agglomeration treatment process, the method is short in technological process and low in preparation temperature (lt); the method has the advantages of low temperature (300 DEG C), extremely low carbon emission, capability of cooperatively treating iron-containing and carbon-containing solid waste resources while treating specular iron ore concentrate on a large scale, and provision of a new technical route for green and low-carbon transformation in the iron and steel industry.

The invention provides an economic dispatching method and system for a steel smelting production process under demand response, and belongs to the technical field of steel industry load optimization dispatching. The method comprises the following steps: establishing an objective function of price and incentive joint demand response according to power demand response; establishing a state task network model of the iron and steel smelting production process according to the iron and steel smelting process flow; wherein the state task network model is used for representing a coupling relationship between a material flow and a process; establishing production constraint conditions of steel smelting according to the state task network model; and jointly solving the objective function and the production constraint conditions to obtain a scheduling scheme of the steel smelting production process. The method can fully excavate the potential of the industrial load participating in the demand response, effectively optimizes the production scheduling scheme of steel smelting under the demand response, and achieves the balance of economic benefit, production flow and production safety.

The present application relates to a kind of steel industry wastewater advanced treatment process carbon footprint accounting method, comprising: determining the system boundary of the accounting of advanced treatment process;In the system boundary, the advanced treatment process is divided into continuous multiple accounting stages;Identify the direct carbon emission source and indirect carbon emission source of each accounting stage;Determine the emission factor of each carbon emission source;For each accounting stage, based on the activity data specific to each accounting stage and the corresponding carbon emission factor, build a special carbon emission accounting model and account;Summarize the carbon emissions of each accounting stage to obtain the total carbon emissions of the advanced treatment process.The present application first builds a carbon footprint accounting method specifically for the specific complex process chain of "nanofiltration / reverse osmosis salt separation and sodium chloride / sodium sulfate salt separation crystallization" of steel industry wastewater, fills the technical gap of accurate accounting of the entire process in this subfield, and solves the problem of mismatch between general accounting model and specific process.

The application discloses a method for preparing direct reduced iron from iron-containing raw materials with near-zero carbon, and belongs to the technical field of steel metallurgy. The method comprises the following steps: uniformly mixing iron-containing raw materials, an organic-inorganic composite binder, biomass carbon and water, and then sequentially performing high-pressure forming and drying and solidification to obtain cold briquetting; and the cold briquetting is reduced by pure hydrogen to obtain direct reduced iron. The method can prepare cold briquetting suitable for the performance requirements of a shaft furnace for direct reduction at a relatively low temperature (<300 DEG C), and further prepares direct reduced iron by pure hydrogen reduction. The method has a short process flow, near-zero carbon emission, and provides a new technical route for the green and low-carbon transformation of the steel industry.

The present invention discloses a method for joint production of alumina and iron smelting by the Bayer process. Firstly, the raw materials and auxiliary materials are mixed with bauxite containing a high content of iron oxide. Then high-temperature digestion is conducted on the mixed materials. Through this digestion process, a mixed slurry of red mud and sodium aluminate solution is obtained. Subsequently, this mixed slurry is subjected to sedimentation and separation, yielding red mud and sodium aluminate solution respectively. This red mud-based iron concentrate is proportionally mixed with the pre-set iron concentrate and calcium compounds, and then undergoes high-temperature treatment to produce a mixed sinter for use in an iron-smelting blast furnace. When the mixed sinter is fed into the iron-smelting blast furnace, pure iron products are obtained. Finally, the sodium aluminate solution is subjected to seed precipitation and calcination treatment, resulting in the production of alumina.

The invention discloses a full-process intelligent operation platform based on intelligentization of a steel mill, belongs to the technical field of intelligentization of the steel industry, and particularly relates to the field of full-process collaborative management and control integrating multi-source data fusion, digital twinning and intelligent decision technologies. The platform adopts a cloud, edge, end and twin four-layer collaborative architecture, each layer realizes bidirectional data transmission through an encryption protocol, the whole process of sintering, ironmaking, steelmaking and steel rolling is covered, and a multi-mode sensing terminal is deployed on the end side to collect component, working condition, equipment and quality data; carrying out real-time preprocessing and feature extraction on the data by side nodes; the cloud side configures a feature alignment, semantic mapping and time sequence association three-level fusion engine, and constructs a unified data link through an adaptive feature scaling algorithm, a dynamic knowledge graph containing 1200 + entities and a time sequence LSTM network; the twin side constructs a full-flow digital twinborn body to support scene simulation and rehearsal.

The present invention relates to a system and method for separating and recovering hydrogen from coke oven gas (COG) in steel industry, particularly a system and method for separating and recovering hydrogen at a concentration of 99.9% by volume or more from coke oven gas (COG) in steel industry with a recovery rate of 95% or more.

The invention discloses a method for electrocatalytic magnetization treatment of red mud by using alkali metal salt, and belongs to the technical field of metallurgical solid waste recovery, dehydrated red mud and alkali metal salt are mixed, and heating and catalytic magnetization are performed in sequence, so that Fe2O3 in the red mud is converted into ferromagnetic Fe3O4 in situ, and Al2O3 and alkali metal salt are promoted to react to generate soluble aluminate at the same time. The product is subjected to water dissolution, magnetic separation, filtration and evaporative crystallization, and high-purity Fe3O4 magnetic mineral powder, non-magnetic slag rich in silicon, titanium and magnesium and recycled products containing aluminum salt can be obtained respectively. By means of the method, efficient separation and recycling of valuable components such as iron, aluminum, silicon and titanium in the red mud are achieved, obtained Fe3O4 can be directly used for the steel industry, and the comprehensive utilization value of the red mud is remarkably improved.

The invention discloses a steel large model system, which comprises a resource layer, a base layer, a large model capability layer, an intelligent engineering layer, a scene package and a business layer, and is characterized in that the resource layer is used for providing data support for basic capability training of the base layer, and the base layer is used for providing support for business capability research and development of the large model capability layer; the large model capability layer is used for providing functional components of business scenes in the iron and steel industry; the intelligent engineering layer is used for packaging and deploying the functional component to form a business application; the scene package is used for providing required services and capabilities for a business scene of steel production based on the business application; wherein the content of the scene packet is divided according to different service scenes; and the business layer is used for meeting business requirements around actual business of steel production based on the scene package. According to the scheme, the digitization and intelligence level of the iron and steel industry can be improved based on a large model.

The invention discloses a method for fixing carbon dioxide through smelting slag with low acid and alkali consumption, and belongs to the technical field of metallurgical solid waste resource utilization. The method is a combined process of leaching free calcium from the smelting slag by water and leaching combined calcium and magnesium from the smelting slag by an organic acid solution, and the organic acid leachate is used for capturing carbon dioxide and producing a light calcium carbonate product after being subjected to hydrolysis and impurity removal. Meanwhile, in the carbon sequestration reaction process, a non-water-soluble organic solvent is introduced to achieve extraction and enrichment of organic acid so as to design an organic acid circulation path, and water leachate is used for pH adjustment in the whole carbon sequestration reaction process. According to the method, cyclic utilization of organic acid is achieved, active alkali components in the smelting slag are fully utilized, acid and alkali consumption is reduced, meanwhile, a light calcium carbonate product with a high additional value is produced as a byproduct, and a brand new path is provided for sustainable recycling and harmless utilization of the smelting slag and carbon capture in the steel industry.

The application relates to the technical field of steel industry process control and data fusion, and discloses a steel product carbon label data and production equipment operation parameter linkage monitoring and abnormality tracing method and system. The method collects equipment operation parameters in real time through deployment of a sensor group and extracts carbon label data from a carbon footprint accounting system; a time-space alignment mapping model is constructed, time tolerance parameters and material flow direction tracking are used to solve the time-space misalignment problem of multi-source heterogeneous data; a double-threshold joint decision logic is used to detect carbon label-equipment correlation abnormalities; based on abnormal contribution degree, a root cause equipment is accurately traced and located, and after fault feature matching, an equipment control instruction is generated; the instruction is issued through an industrial control network to realize equipment state adjustment and closed-loop verification. The application realizes deep fusion and closed-loop feedback of carbon emission data and physical equipment working conditions, solves the technical problem that existing carbon accounting and equipment control are independent of each other, and improves the fine carbon emission control level and abnormal response efficiency.

The invention relates to a method for determining a swing area of a rough-rolled steel billet, and belongs to the technical field of steel industry production control methods. According to the technical scheme, the method comprises the steps that according to rough rolling secondary model setting, the thickness of an intermediate billet rolled in each pass of rough rolling is obtained, and the length of the intermediate billet in each pass is calculated; the swing area of the next plate blank is determined, and it is ensured that collision or rear-end collision does not occur between the rolled blank and the next plate blank; the next plate blank is stopped from swinging, and the starting and stopping time from the roller way to conveying the next plate blank to rough rolling is determined according to the swinging area of the next plate blank; and slab data issuing and detection point optimization are carried out, so that wrong number of tracking data of a rolled blank and a next slab is avoided. The method has the beneficial effects that whether the next plate blank and the rolled blank are collided or subjected to rear-end collision or not is dynamically calculated, so that the next steel blank is subjected to the furnace rear descaling process in advance and is conveyed to the conveying roller way in front of the roughing mill to swing, the conveying time of the furnace rear descaling roller way is saved, and the rolling rhythm is improved.