377 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 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 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.

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 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 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 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.

An electric arc furnace (10) usable for melting a metal charge (M), the electric arc furnace (10) comprising a vessel (11) having at least one peripheral wall (20) with a top opening (21), a side slag discharge opening (22) and a side input opening (43). A selectively openable roof (15) can be placed over the top opening (21) of the vessel (11), the roof (15) having a central portion (30) with one or more through holes (31) through which electrodes (32) for melting the metal charge (M) can be inserted to provide clearance.

The present invention discloses a method for resource utilization of fly ash in coordination with converter production, and involves three technical fields of converter steelmaking and resource utilization of fly ash and secondary aluminum ash. The present invention utilizes the process links of the converter and adopts an innovative process method to produce fly ash, secondary aluminum ash and waste magnesium carbon brick particles from steel mills into a slag modifier for the converter, which is used as a slag suppressing agent for the converter foam slag at the end of the converter blowing. While playing the role of slag suppression and defoaming of the converter foam slag, it optimizes the process performance of the converter steel slag splashing furnace protection, which is beneficial to the implementation of the slag splashing furnace protection process after the converter steel is tapped, and at the same time optimizes the performance of the converter steel slag resource utilization, and develops a highly competitive process method for the large-scale treatment of fly ash generated after waste incineration and secondary aluminum ash generated by electrolytic aluminum enterprises in the Chinese steel industry, highlighting the technical advantages of cross-innovation in different technical fields.

The invention discloses a system and method for treating metallurgical dust and sludge and ferric sulfate slag through a rotary kiln, and the system comprises the rotary kiln which is used for carrying out pelletizing forming, pre-reduction desulfurization and deep reduction on the metallurgical dust and sludge and sulfuric acid slag of an iron and steel plant; the rotary kiln is sequentially provided with a pelletizing section, a pre-reduction desulfurization section, a deep reduction section and a discharging section from the kiln tail to the kiln head, and an inclined check ring is arranged in the pelletizing section; the kiln head of the rotary kiln is provided with an air nozzle, and the kiln tail is provided with a smoke outlet. The surface cooler is used for cooling the rotary kiln flue gas from the rotary kiln to obtain low-temperature flue gas; the zinc sulfate preparation module is used for treating the low-temperature flue gas and preparing a zinc sulfate product. According to the method, resource utilization and high-value utilization of the metallurgical dust sludge and the sulfuric-acid slag of the iron and steel plant can be achieved, low-sulfur and high-iron metallized pellets and zinc sulfate products are produced, and comprehensive utilization of iron, zinc and sulfur in the metallurgical dust sludge and the sulfuric-acid slag is achieved.

The utility model discloses a vertical dust removal pipe with an automatic dust removal function, and relates to the technical field of dust removal devices. The dust removal device comprises a dust removal header pipe, a dust removal branch pipe which is perpendicular to the dust removal header pipe and internally communicated with the dust removal header pipe is arranged below the dust removal header pipe, and a dust removal valve is arranged on the dust removal branch pipe; inclined flow guide pipes are respectively arranged above the dust removal valve and on the two sides of the dust removal branch pipe, the upper ports of the flow guide pipes are connected to the dust removal main pipe, the lower ports of the flow guide pipes are connected to the dust removal branch pipe, and the interiors of the flow guide pipes are communicated with the interiors of the dust removal main pipe and the dust removal branch pipe. The utility model provides the vertical dust removal pipe with the automatic dust removal function, and the vertical dust removal pipe can automatically clean accumulated dust in front of a dust removal valve under the condition of not consuming extra electric energy, so that the problem of dust accumulation in front of the dust removal valve caused by original design errors of a dust removal pipeline of a steel plant is solved.

The invention discloses a method and a device for predicting the combustion rate of pulverized coal injected by a blast furnace. The method comprises the following steps: acquiring a combustion rate characterization parameter of a coal sample of the pulverized coal injected by the blast furnace; if the correlativity among the multiple combustion rate characterization parameters meets a first preset condition and / or the correlativity between the combustion rate characterization parameters and the corresponding historical combustion rates meets a second preset condition, screening the multiple combustion rate characterization parameters; and generating a combustion rate prediction model according to the plurality of screened combustion rate characterization parameters and the corresponding historical combustion rate, and predicting the combustion rate of the target blast furnace injection pulverized coal by using the combustion rate prediction model. According to the method, the combustion rates of different pulverized coal can be accurately calculated, so that the pulverized coal suitable for being injected by a blast furnace is determined, a steel mill can obtain higher production capacity and product quality under a safer operation condition, and the method has relatively strong practical significance.

The invention discloses an ironmaking group production optimization method based on the relation between the iron ore general index and the lump ore premium price, and belongs to the technical field of blast furnace ironmaking in the iron and steel industry. The price comparison relation between the standard fine ore and the Australian lump ore is measured and calculated according to the general index of iron ore and by combining the sintering production process cost of an iron making plant of an iron and steel enterprise and the coal coke price for a blast furnace, reasonable ore use for iron making is guided, and the iron making cost is reduced. Meanwhile, on the basis of the price comparison relation between the fine ore for sintering and the lump ore for the blast furnace under the enterprise production condition, the relation between the market iron ore general index and the lump ore premium price is compared, the purchase plan of the fine ore and the lump ore is quickly decided, iron ore resource changes are responded, and market opportunities are grasped. According to the method, the relation model of the lump ore premium price and the general index is established, the ironmaking raw material structure and the production organization are dynamically optimized, and the problem that cost optimization is difficult to achieve in raw material purchasing and production organization of enterprises is solved.

1. A direct iron ore reduction process, in which an NH3-containing gas feed (24a) is fed to a gas reformer (25) where it is reformed to obtain a hydrogen-containing reducing gas (25a, 25b), at least a portion of which is fed to a direct reduction reactor (1) where iron ore (2) is subjected to direct reduction with the reducing gas (25a, 25b) to obtain directly reduced iron (30), and during reforming of the hydrogen-containing reducing gas (25a), NH3 in the gas feed (24a) is subjected to the dissociation reaction 2NH3 → N2 + 3H2.

The invention relates to the technical field of steel polishing, in particular to a steel plant steel polishing device which comprises a base, a collecting tank is slidably connected into the base, an operation seat is fixedly connected to the outer wall of the top of the base, a rubber ring is fixedly connected to the outer wall of the top of the operation seat, and an air cylinder is arranged on the base. The output end of the air cylinder is fixedly connected with a dustproof cover, and the outer wall of the output end of the air cylinder is rotationally connected with a pressing plate. The multiple telescopic openings are formed in the polishing plate, so that emulsion is sprayed to multiple different positions of the steel, the situation that an operator directly extrudes the emulsion on the steel, then the steel is polished through the polishing plate, the emulsion is dispersed unevenly, the emulsion is sprayed correspondingly through the multiple positions, and the quality of the steel is improved is avoided. The emulsion can be ensured to form a uniform and continuous covering layer on the surface of the steel, so that the conditions of emulsion accumulation, non-uniform dispersion or omission during manual smearing are prevented, and the utilization rate and the effect of the emulsion are improved.

The utility model discloses a steel plant air feeder which comprises an air feeder body, the air feeder body comprises an air inlet pipe and an air outlet pipe, and a filter frame is arranged in the air inlet pipe. According to the air feeder, the check block is pushed until the insertion block enters the fixing table, then the positioning block on the insertion block on the bottom surface of the air feeder body is connected with the positioning groove in the upper surface of the bottom end of the fixing table in an inserted mode, when the check block enters the through hole, the insertion block can be limited, and therefore the air feeder body can be installed and fixed, and after installation and fixation, the air feeder body can be fixed. When the air feeder body breaks down and needs to be disassembled and overhauled, a push block at one end of a push rod is pushed, the push block can push a stop block to move, when the stop block is far away from a through hole, an insertion block is moved upwards, and when a positioning block on the bottom surface of the insertion block is far away from a positioning groove in a fixing table, the insertion block is moved upwards. And therefore, the air feeder body can be conveniently disassembled and overhauled, and the practicability of the air feeder body can be improved.

The invention provides a steel mill material taking behavior recognition method and system based on target detection, and relates to the technical field of computer vision, and the method comprises the steps: collecting a historical steelmaking site video; processing the historical steelmaking site video through a mask algorithm to generate an interest image; yOLOv5 is used as a framework, a target detection model is established, the target detection model comprises a backbone network module, a neck module and a detection head module, and the backbone network module and the neck module each comprise a CBAM attention unit; inputting the interest image into a target detection model for training until the loss function value of the target detection model is smaller than a preset loss function value; obtaining a to-be-identified steelmaking site video; inputting a to-be-identified steelmaking site video into the trained target detection model, and outputting a detection result; and outputting a steel mill material taking behavior identification result according to a detection result. Safety accidents in a working place can be effectively prevented and reduced, and the life safety of workers is protected.

The invention discloses a converter smelting determination method and device, electronic equipment and a storage medium, and belongs to the technical field of converter smelting. The method comprises the following steps: matching a first gas content in an evaporative cooler before a converter to be detected is loaded with a first preset gas content standard, and determining a matching result; based on a matching result, determining whether to start blowing of the to-be-detected converter or not; after it is determined that blowing of the to-be-detected converter is started, whether a blowing permission instruction for blowing the to-be-detected converter is generated or not is determined on the basis of the second gas content at the outlet of the electrostatic dust collector before blowing and a second preset gas content standard; and after it is determined that the blowing permission instruction for blowing the converter to be detected is generated, the oxygen lance is controlled to descend in response to the blowing permission instruction, and the blowing process is started based on the preset oxygen lance control parameters corresponding to the oxygen lance. According to the invention, standardization of blowing of converters of different steel plant equipment can be realized. And the production efficiency and the yield of steel are further improved.

The invention discloses a steel plant management statistics intelligent data processing system and method. Comprising a converter original report module, a refining furnace original report module, a refining furnace production report module, a steelmaking production report module and a steelmaking three-shift report module. And each module is respectively provided with functions of data display, query, export and report updating. According to the invention, by integrating the related data in the production process of the steel plant and intensively displaying various types of data in different pages, unified management of the data is realized. Meanwhile, convenient data entry, modification and deletion operation and efficient query and export functions are achieved, the time and labor cost of data management are greatly saved, and the data management efficiency is improved.

The application discloses a steel mill converter management and statistics system and method. The system comprises a production process monitoring module, a converter operation performance module, a production history tracing module, a converter stock material module and a data processing updating module. The production process monitoring module is used for monitoring and filling important data in the converter production process. The converter operation performance module is used for collecting various signal data and manually filling data in the converter production process. The production history tracing module is used for automatically and regularly counting the converter operation performance according to a set statistical method. The converter stock material module is used for setting the identification logic of part signals. The data processing updating module is used for regularly updating the data by combining the signal identification algorithm and the manual field calibration, supporting the query and screening based on the user selection, and providing the data export and backup functions. The application automatically collects, manually fills and automatically counts the related data in the converter production process of the steel mill, greatly saves the time and labor cost of data management, and improves the data management efficiency.