315 results about "Iron production" patented technology

The invention provides a steel plate surface defect detection method and system based on multi-source data fusion, and relates to the technical field of steel production automatic detection.The method comprises the steps that water stain pretreatment is conducted on the surface of a steel plate, the residual humidity is reduced to be below a preset low humidity threshold value, and a dry surface is obtained; based on the dry surface, collecting multi-source data through a 3D laser line scanning camera and a 2D industrial line scanning camera which are synchronously triggered, obtaining line scanning laser point cloud data, a line scanning reflectivity gray level image, a line scanning depth gray level image and an area array reflectivity color image, and establishing a space corresponding relation among the multi-source data; and forming a multi-source data set based on the spatial correspondence among the multi-source data. According to the method, a high-precision and high-robustness steel plate surface defect detection system covering the whole detection process is constructed by eliminating water stain interference, unifying a multi-source data reference, optimizing data quality, accurately identifying defects and realizing automatic feedback and data closed loop.

The invention relates to the field of business management, in particular to a production and manufacturing resource scheduling-oriented mixed integer programming optimization system, which comprises six modules: a data acquisition module acquires industrial big data streams; the data mapping module processes the data flow and constructs a real-time data model; the dynamic modeling module is used for automatically generating a mixed integer programming model according to a built-in steel production process model library based on a real-time data model; the model solving module generates a resource scheduling scheme through an optimization engine; the instruction analysis module analyzes a specific management and operation instruction; and the scheduling recalculation module starts a new round of mixed integer programming modeling and solving according to the increment information. According to the system, information such as resources is summarized through a mixed integer programming method, a specific production instruction is generated through a solver, a new round of modeling and solving are started when an accident occurs, rapid and accurate response to resource scheduling is achieved, and the response efficiency of resource scheduling and the reliability of the system are improved.

The invention provides an electric power system source-load coordinated optimization scheduling method considering the flexibility of a steel production process, and relates to the technical field of electric power system scheduling, comprising the following steps: carrying out operation characteristic analysis on the production load of a steel enterprise, and respectively establishing an electric arc furnace model, an air separation system model and a steel rolling line model; constructing an adjustable capacity model under the coupling of the power supply system and the production process; based on the operation cost of the iron and steel enterprise power system, constructing an iron and steel enterprise flexibility day-ahead scheduling model; the electric arc furnace model, the air separation system model, the steel rolling line model, the adjustable capacity model and the iron and steel enterprise flexibility day-ahead scheduling model are integrated into a mixed integer linear programming scheduling model, the mixed integer linear programming scheduling model is solved through a solving tool, and an optimal scheduling scheme of system source-load coordination is obtained. The flexibility of a power system can be remarkably improved, and the problem of supply and demand imbalance caused by wind power output fluctuation is effectively relieved.

The invention relates to a steel production-oriented multi-base multi-production-line multi-process global plan optimization method and system. The method comprises the following steps of: receiving and standardizing order demand data; executing hierarchical processing and distribution of multi-base orders, and outputting a base-level order set; deducting and marking the net production demand quantity of the base-level orders; executing multi-production-line order allocation in a single base, and generating a production line level order set; performing cross-process collaborative batch grouping on the production line level order set based on steel making-continuous casting-rolling-post-processing process constraints to generate a cross-process batch plan; constructing a global evaluation model, performing comprehensive evaluation on an intermediate result, and generating a parameter correction instruction based on an evaluation result for adjusting parameters, constraints or distribution strategies of subsequent modules; and finally, generating a production plan scheme with consistent cross-base, cross-production-line and cross-process, and triggering rolling optimization update when disturbance occurs. According to the invention, unified coordination and global optimization of multi-module plan results are realized.

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

The invention discloses a curve model filtering-based high-speed wire rotational flow pool liquid level correction control method and system, and relates to the technical field of steel production, and the method comprises the following steps: collecting a liquid level signal, and constructing a fixed curve model according to a process stage; a staged deviation zone is set according to the model, deviation is compared and calculated in real time, and abnormity judgment is carried out; performing previous normal value substitution, model prediction value substitution or triggering process alarm on the abnormal section according to the duration to obtain a substitution sequence; and performing composite filtering on the alternative sequence, and outputting a corrected liquid level for closed-loop control and visualization. Through four-stage fixed curve modeling and staged deviation band judgment, graded substitution is triggered by a pull-back amount, a phase drift amount and a logic consistency rate, and compound filtering closed-loop control is performed on a substitution sequence, so that accurate anomaly detection, low false alarm, continuous curve and stable control are realized.

The invention discloses a steel production line dynamic scheduling system based on data integration analysis, which belongs to the technical field of steel production line plan scheduling, and is characterized in that a dynamic knowledge graph driven by integrated multiple models is constructed, and scattered and heterogeneous data acquired in real time is converged into a data stream; an initial scheduling scheme is produced based on original order data and production line resource data in the'data stream ', simulation deduction is performed based on digital twin driving, an optimized planned production list is obtained, production is executed with the planned production list as a reference, real-time production data and change order data in the real-time'data stream' are received, and the real-time production data and the change order data in the real-time'data stream 'are obtained. Process deviation and order change in the actual production process are dynamically responded, correlation root cause analysis and scheduling decision making are carried out on multiple disturbance factors based on model and map cooperation, dynamic scheduling based on priority and resource constraint is achieved, it is ensured that the actual production condition is consistent with a production plan after scheduling optimization, and production flexibility and adaptability are improved.

The invention relates to the technical field of steel production management, and particularly discloses an intelligent safety management system for steel production, which comprises a multi-source data acquisition module, a data fusion processing module, a digital twin modeling module, a production risk identification module, a dynamic risk assessment module and an intelligent early warning decision module. The method comprises the following steps: acquiring multi-source data of steel production, carrying out fusion processing on the multi-source data, constructing a digital twinborn model of a steel production line, updating the digital twinborn model of steel production based on security situation awareness data, generating a corresponding production risk coefficient and an environment risk coefficient, and further establishing a steel production dynamic risk assessment model. Performing dynamic risk assessment on steel production; by introducing multi-source heterogeneous data fusion, digital twin model dynamic evolution and quantitative risk assessment technologies, the real-time performance, accuracy and decision-making efficiency of steel production safety management are improved, and an innovative solution is provided for safety management and control of a complex industrial system.

The invention provides an intelligent marking and analyzing method for steel production quality based on multi-process space-time mapping. The method comprises the following steps: acquiring a time sequence curve of characteristic parameters, material tracking data and material quality data of a target material in each process in production; according to the material tracking data, establishing a mapping model of the processing position, the process processing time and the cross-process processing position; standardized marking is conducted on the machining position and the machining time interval based on the mapping model; extracting corresponding time sequence curve features based on the annotation interval; analyzing the difference between the target material and the reference material based on feature comparison; and generating a diagnosis result according to the analysis result. The technical problems that in the prior art, the process curve feature extraction mode is single, cross-process data are difficult to associate, and the quality problem tracing efficiency is low are solved.

The invention discloses a continuous casting process anomaly monitoring method based on multi-process variable fusion and deep learning, and relates to the field of metallurgical industry automation control and intelligent manufacturing. Accurate identification and classification of abnormal intervals and intelligent judgment and comprehensive analysis of abnormal levels are realized, and linkage of result visualization and real-time alarm is carried out. Compared with the prior art, the method has the advantages of being high in interval recognition capacity, high in interpretability, high in real-time performance, flexible in deployment, high in adaptability and the like, and is suitable for real-time abnormal interval detection, positioning and comprehensive analysis in the continuous casting process in steel production.

The application discloses a production quality data processing method and device and electronic equipment. The production quality data processing method comprises the following steps: generating quality data for a first production process by a first system node; wherein the first system node is a node corresponding to a first system in a first block chain; the first system is an information system for the first production process in a steel production system; the first production process is a process of one of the following production links: ironmaking, steelmaking, rolling and quality inspection; the quality data is encapsulated into a quality data block in a first format; and the quality data block is broadcasted in the first block chain, so that the quality data block is stored in a distributed database of the first block chain after consensus verification. According to the embodiment of the application, the reliability of the quality data of the steel production process can be improved.

The invention relates to a steel grade performance prediction system and method based on machine learning, the system comprises a user interaction module, a data processing module, a model prediction module and a result output module, steel grade chemical component parameters and process parameters input by a user are received, and a pre-processed neural network model and a K-means clustering algorithm are combined to predict the performance of a steel grade. And rapid prediction of key performances such as yield strength, tensile strength and elongation of the steel grade is realized. The method solves the problems that traditional steel grade performance detection depends on experiments, consumes time and labor and is limited in precision, multi-dimensional parameters are fused through a machine learning algorithm, prediction efficiency and accuracy are improved, and the method can be widely applied to process optimization and performance regulation and control of steel production.

The present application relates to the technical field of steel production, and particularly relates to a method for stable operation of a ring heating furnace, which comprises the following steps: a continuous heating mode: setting the heating area of the ring heating furnace as follows: the first area is a preheating area, the second area to the sixth area are heating areas, and the seventh area to the eighth area are soaking areas; heating the ingot to a first set temperature in the preheating area, continuously heating the ingot to a second set temperature according to a set temperature gradient from the second area to the sixth area in the heating area; cooling the ingot to a third set temperature according to a first set temperature gradient in the soaking area, the third set temperature being greater than the first set temperature; a shutdown standby mode: determining standby time; if the standby time is less than a first set time length, the temperature of each area of the ring heating furnace remains unchanged. The present application can effectively heat the ingot, save the use of fuel, and ensure the efficiency of heating.

The invention discloses an accounting method for fuel gas energy consumption of a steel billet in a heating furnace, and relates to the field of hot rolling production. According to the accounting method for the fuel gas energy consumption of the steel billets in the heating furnace, the physical attributes of the steel billets, in-furnace and out-furnace temperature data and temperature distribution of all sections in the heating process are combined, and the energy consumption of each steel billet in different heating areas can be accurately calculated. Through detailed energy consumption analysis of each steel billet, the method not only provides powerful data support for improvement of the energy efficiency of the heating furnace, but also provides more accurate decision basis for energy optimization, production scheduling and cost control in steel production. The method has high practicability and wide application prospects, is not only suitable for the existing steel production process, but also provides important technical support for future energy management and intelligent scheduling.

The application discloses a high-toughness bainite non-quenched and tempered steel and a manufacturing method thereof, and belongs to the technical field of steel production. The high-toughness bainite non-quenched and tempered steel comprises the following components in percentage by mass: C: 0.10-0.30%, Si: 0.2-0.6%, Mn: 1.8-2.8%, P: 0.003-0.03%, S: 0.04-0.07%, Cr: 0.3-0.8%, V: 0.06-0.15%, Zr: 0.001-0.01%, Te: 0.001-0.01%, N: 0.01-0.02%, O: 0.0005-0.005%, and the balance of Fe and inevitable impurity elements. By adding Zr and Te and cooperating with a specific preparation process, the application remarkably improves the inclusion morphology and distribution and refines the structure, thereby greatly improving the toughness while maintaining high strength.

This invention relates to the field of steel production quality inspection technology, specifically to a phototube protection device, comprising a protective cover body, a mounting structure, and a light-receiving hole; wherein, the top of the protective cover body is provided with a closed structure; the mounting structure is disposed on the protective cover body for fixing the protective cover body to the bracket of the phototube; the light-receiving hole is opened on the front of the protective cover body, and the opening size of the light-receiving hole is smaller than the detection range of the phototube body to limit the light-receiving range of the phototube, thereby reducing the influence of external light, welding sparks, and other interference factors on the detection signal; the light signal received by the phototube of this invention is constrained to the target area directly in front of the light-receiving hole; thus, the probability of false triggering of the detection signal is reduced, and the detection accuracy of the phototube is improved.

A gas production apparatus includes: a separator configured to separate and capture a separated gas including carbon dioxide as a main component from an exhaust gas of exhaust gas equipment; reactors which are downstream of the separator, each of the reactors: (i) containing a reductant configured to contact the separated gas to produce carbon monoxide through a reduction reaction of carbon dioxide; (ii) being configured to separate at least some oxygen atoms split off from carbon dioxide in the reduction reaction; and (iii) having a reducing agent containing a metal oxide configured to reduce carbon dioxide as the reductant; a reducer configured to supply a reducing gas containing a reducing substance configured to reduce the reducing agent oxidized by contact with carbon dioxide; a pressure regulator configured to regulate a pressure of the separated gas; and a flow regulator configured to regulate a flow rate of the separated gas.

Provided is a reduced iron production method that can suppress clustering of iron ore pellets. A reduced iron production method according to the present invention is characterized by comprising: a pellet production step for mixing an iron ore powder, a binder, and an auxiliary material, granulating the mixture to obtain green pellets, and baking the green pellets to obtain iron ore pellets; and a reduction step for charging the iron ore pellets in a vertical shaft furnace, and directly reducing the same by using a reducing gas to obtain reduced iron pellets. The reduced iron production method is characterized in that: raw materials of the iron ore powder include an iron ore having a compositional makeup in which the total Fe amount is 63 mass% or less and the sum of SiO2 and Al2O3 is 4 mass% or more; and the reduced iron pellets satisfy the following formula. (SiO2+Al2O3+CaO+MgO+FeO) / M.Fe ≥ 0.15

The application discloses a continuous casting billet and red delivery system and method, and belongs to the field of steelmaking and continuous casting in steel production. In order to improve production efficiency, the continuous casting billet and red delivery system comprises a billet delivery roller way (1), the billet delivery direction of the billet delivery roller way (1) is a right-to-left direction, along the billet delivery direction of the billet delivery roller way (1), a first fire cutting machine (2), a second fire cutting machine (4), a slide rail (7) and a billet collecting device (8) are sequentially arranged on the billet delivery roller way (1), the slide rail (7) extends along the front-to-back direction, along the front-to-back direction, one end of the slide rail (7) is provided with a billet pushing machine (6), and the other end of the slide rail (7) is provided with the billet collecting device (8); the billet on the billet delivery roller way (1) can be transferred to the slide rail (7), and the billet pushing machine (6) can push the billet on the slide rail (7) into the billet collecting device (8). The continuous casting billet and red delivery system and method can directly produce short fixed-size billets in a continuous casting workshop, and improve the production efficiency of rolling.

The invention relates to the technical field of iron and steel production intelligent scheduling, in particular to an ore blending molten iron stable output time sequence prediction system and method based on LSTM, and aims to solve the problems that in existing high-quality steel special ore blending production, molten iron stable output time is not matched with a steel production plan, high-quality molten iron is wasted, and the production cost is high. According to the system, an end-to-end LSTM deep learning prediction model is constructed, ore blending, blast furnace conditions and molten iron production multi-source time sequence data are fused, and a molten iron stable standard reaching time window is accurately output; molten iron supply simulation, consumption monitoring and time window dynamic calibration are realized by combining a real-time data interface and a visual interaction interface; and a closed-loop simulation verification module is matched to simulate the molten iron supply and demand matching degree under different production scheduling schemes, so that prediction-monitoring-optimization-verification integrated decision support is provided for planning personnel, and finally, fine allocation of high-quality molten iron resources is realized, the production cost is reduced, and the hit rate of steel production is increased.

The invention discloses a temper mill and finishing mill system for a pickling galvanizing unit, and relates to the technical field of strip steel leveling in steel production equipment, the temper mill and finishing mill system comprises an uncoiler, a pickling section, a temper mill, a galvanizing section, a finishing mill and a coiler which are arranged along the direction of a production line, the temper mill is a four-roller temper mill, the temper mill adopts a dry-type leveling mode, and the recoiling machine is a four-roller temper mill. A working roller wiper and a supporting roller wiper are arranged, and a suction device is arranged to suck away dust generated in the leveling process; and the finishing machine is provided with a wet finishing spraying beam and a high-pressure water cleaning trolley, so that the real-time lubrication and cleaning of strip steel and rollers can be realized, and the quality of a galvanized sheet finished product is effectively ensured.

This invention proposes a device for recovering and utilizing the sensible heat of iron slag, comprising a collection chamber, a slag pot, a tilting machine, a chute, a cold air jet assembly, a first gravity dust collector, and a waste heat boiler. The tilting machine drives the slag pot to tilt sideways, injecting liquid iron slag into the chute. The outlet of the chute extends into the collection chamber, and the outlet of the cold air jet assembly is located below the chute outlet. The air inlet of the first gravity dust collector is connected to the exhaust port at the top of the collection chamber via a pipeline, and the exhaust port of the first gravity dust collector is connected to the air inlet of the waste heat boiler. This invention, through the cooperation of the cold air jet assembly and the chute, rapidly granulates and cools the liquid iron slag and recovers its sensible heat, significantly improving the sensible heat recovery rate of the liquid iron slag. The first gravity dust collector effectively removes dust generated during the iron slag cooling process, protecting the waste heat boiler. The waste heat boiler converts the recovered sensible heat into high-temperature, high-pressure steam, achieving efficient energy utilization and reducing the overall energy consumption of steel production.

The invention provides a continuous variable convexity rolling mill working roll shape design method, a storage medium and electronic equipment, and belongs to the technical field of steel production equipment design. The method comprises the following steps that configuration parameters and target control parameters of a rolling mill and the roll abrasion condition are obtained; a basic roll shape curve of a working roll is determined according to the rolling mill configuration parameters and the target control parameters, and a superposition function curve and the action range of the superposition function curve are determined according to the roll abrasion condition; and according to the action range of the superposition function curve, the superposition function curve is combined on the basic roll shape curve, and the surface roll shape curve of the working roll is obtained. The plate shape problem that the thickness of the edge of the plate strip is suddenly reduced can be relieved, the plate shape quality and the yield of a production line are improved, and the roller shape design and optimization method can bring remarkable economic benefits to iron and steel enterprises.

The application discloses a method for preparing an ozone catalyst by using iron oxide scale waste residues as raw materials and application thereof. By using the iron oxide scale waste residues as the ozone catalyst, various organic pollutants in water can be efficiently degraded, and the method has good industrial application value. It is found through experiments that the IOS waste residues without any treatment can be directly used as the ozone catalyst, or the IOS waste residues can be treated by means of bagging, ball milling and briquetting, urea doping and the like, and high-efficiency O3 catalysts can be obtained, the catalysts can efficiently catalyze low-concentration O3, and the effective degradation of high-concentration tetracycline in water can be realized within 12 min, and the degradation rate is 90%. The iron oxide scale block and the IOS waste residues doped with urea have the best activity, good stability and easy recycling. The above results show that the solid waste, the iron oxide scale, which is inevitably produced in the steel production process, is used as the high-efficiency catalyst of O3, the problem of resource utilization of the iron oxide scale waste residues is properly solved, and a kind of ozone water treatment technology with good industrial application prospect is developed.

The invention provides a steel quality diagnosis method and device, equipment and a storage medium, and the method comprises the steps: obtaining technological parameters and quality parameters of a steel production process, obtaining domain knowledge information, building a quality defect knowledge graph based on the domain knowledge information, and injecting the quality defect knowledge graph into a preset data diagnosis model, thereby obtaining an enhanced diagnosis model; performing predictive diagnosis on the process parameters and the quality parameters based on the enhanced diagnosis model to obtain a predictive diagnosis result, performing reasoning diagnosis on the process parameters and the quality parameters based on the quality defect knowledge graph to obtain a reasoning diagnosis result, and if the predictive diagnosis result and the reasoning diagnosis result have conflicts, judging whether the process parameters and the quality parameters are conflicted or not. If yes, processing according to a preset conflict resolution strategy to obtain a steel quality diagnosis result; according to the invention, based on cooperative work of prediction diagnosis and reasoning diagnosis, diagnosis result differences are processed in combination with a conflict resolution strategy, the accuracy and interpretability of steel quality diagnosis are improved, and the adaptability of a diagnosis system under complex working conditions is enhanced.

This invention discloses a steelmaking overhead crane weighing system for low-quality industrial data, belonging to the field of steel production technology. The system includes: a data acquisition and fusion module for collecting real-time crane data and production event data from the manufacturing execution system; a feature extraction and data governance module for identifying hoisting operation segments and performing time-series reconstruction and completion of production event data to generate a unified process time sequence table; and a core matching and calculation engine module, including a multi-condition dynamic matching engine and a multi-mode adaptive weight calculation engine, used respectively for multi-dimensional rule matching of hoisting segments and process nodes, and for calculating the weight of molten steel using robust mean or morphological recognition modes. This invention achieves highly robust and accurate molten steel weight tracking even in environments with missing, delayed, and noisy multi-source data, significantly improving the system's process adaptability and maintainability.

The application discloses a judgment method of the tapping state of a blast furnace ladle, and belongs to the technical field of steel production. The method comprises the following steps: step one, building a liquid level automatic monitoring and early warning system; step two, performing Kalman filtering processing on the obtained liquid level data, performing real-time denoising and prediction, and judging the tapping state according to the processed liquid level data; and step three, performing early warning when the liquid level of the molten iron is too high and reaches the set filling amount warning point, and recording the alarm time under the conditions of the tapping start, the tapping end and the high liquid level at the same time of monitoring the tapping state. The application realizes automatic monitoring and automatic judgment of the tapping state, can monitor the liquid level in the ladle in real time and accurately, effectively solves the problems of time waste and low production efficiency caused by judgment errors and interference compared with the traditional manual judgment method, and improves the full ladle rate and use efficiency of the ladle.

This invention discloses a process for producing 65Mn steel through continuous casting and rolling of thin slabs, belonging to the field of steel production. The method includes the following steps: steelmaking, casting and rolling, and slow cooling. The steel composition is controlled as follows: C: 0.62%-0.70%, Si: 0.17%-0.37%, Mn: 0.90%-1.20%, P≤0.035%, S≤0.030%, Cr≤0.20%, Ni≤0.30%, Cu≤0.25%, with the balance being Fe and impurities. In the continuous casting process, the slab thickness is 90mm-110mm, the casting speed is controlled at 4.0m / min-4.8m / min, and the temperature difference of the slab cross-section is controlled at 40℃-65℃. In the finishing rolling process, the F3 work roll uses high-speed steel rolls, and the F4 and F5 work rolls use high-nickel-chromium rolls. The crown of the F3 work roll is set to be 200µm larger than that of other steel grades, and the load distribution of each stand follows a decreasing principle. Compared with existing technologies, this method improves the yield rate of straight hair curls.

The application discloses a kind of high line finish rolling motor drive assembly without fuse control method and system of technology in the technical field of steel production, no fuse control and main circuit breaker fast-break control unit is innovatively designed by no fuse and fast-break control, realizes the optimal control to no fuse matching;Matching coil safety combination and two-side current monitoring unit are innovatively designed by two-side current monitoring, realizes process quantization and accurate control to no fuse technology;Fault intelligent timing and leakage reactance intelligent current-limiting control unit is innovatively designed by leakage reactance intelligent current-limiting, realizes end flow accurate quantization control to no fuse technology;Sectional time thermal effect and intelligent response step sequence unit are innovatively designed by thermal effect intelligent response, realizes the optimal control to high line finish rolling motor drive assembly without fuse technology of technology.

The invention discloses a real-time processing method, system and equipment for high-frequency time sequence data and a storage medium, and relates to the technical field of data processing in the steel industry, and the method comprises the steps: collecting the high-frequency time sequence data of equipment in a steel production process, and uploading the high-frequency time sequence data to a target data bus; based on a trigger signal, sequentially acquiring the high-frequency time sequence data from the target data bus; preprocessing the obtained high-frequency time sequence data to obtain a standard data stream; configuring a calculation process based on a zero code editor, and calculating the standard data stream through the calculation process to obtain calculation result data; respectively storing the calculation result data into a memory database and a disk time sequence database according to a time dimension; and outputting the calculation result data through an application program interface.