An intelligent management system for steel processing

Abstract

The present invention belongs to the technical field of steel processing management, and discloses an intelligent management system for steel processing. The system includes an ore material selection module, a heating duration analysis module, a heating power adjustment module, a billet heating execution module, a billet temperature acquisition module, a billet heating adjustment module, a hot rolling quality analysis module, a defective product analysis module, and a data repository. By analyzing the heating duration and heating power during the hot rolling process of steel processing, the present invention accurately coordinates the balance between production efficiency and resource conservation, avoids resource waste, and ensures the production efficiency of hot rolled products. At the same time, through the traceability analysis of defective products, the present invention forms a closed-loop analysis of product quality and production process flow, improves the stability and reliability of product quality, provides a reference for the continuous optimization of the production process flow, avoids product quality problems and reduced production efficiency caused by raw material or process problems, and reduces resource waste.

Description

Technical Field

[0001] The present invention belongs to the technical field of steel processing management and relates to an intelligent management system for steel processing. Background Art

[0002] Steel is one of the most important materials in modern society and plays a crucial role in various fields such as construction, transportation, machinery manufacturing, and electronic products. The wide range of applications of steel determines the irreplaceable important role of steel processing in modern industrial production.

[0003] Steel processing can be roughly divided into two main processes: hot rolling and cold rolling. Among them, hot rolling is a rolling process carried out above the recrystallization temperature of the metal. Hot-rolled steel has the characteristics of good surface quality, high dimensional accuracy, excellent mechanical properties, etc., and is widely used in fields such as construction, bridges, machinery, and automobiles. The intelligent management of steel processing based on the hot rolling process is of great significance for improving production efficiency and ensuring product quality.

[0004] In the existing steel processing corresponding to the hot rolling heating process, heating is usually carried out based on the required billet temperature, lacking the analysis of the initial billet temperature. This analysis method leads to inaccurate heating duration, affects the efficiency of the heating process, and reduces the accuracy of operation.

[0005] In the existing steel processing corresponding to the hot rolling heating process, a fixed heating power is usually adopted, lacking the adjustment analysis of the heating power based on the heating duration. On the one hand, using a fixed heating power may affect the subsequent hot rolling process due to too long heating time and reduce production efficiency. On the other hand, using a fixed heating power reduces the pertinence of heating and may reduce product quality.

[0006] In the existing steel processing corresponding to the hot rolling process, there is a lack of traceability analysis of the specific influencing factors of defective products and a lack of closed-loop analysis of product quality and production process flow. On the one hand, it will lead to the continuous generation of unqualified products, affecting the stability and reliability of product quality. On the other hand, it is difficult to continuously optimize the production process flow, which may affect the improvement of production efficiency. Summary of the Invention

[0007] In view of this, to solve the problems raised in the above background art, an intelligent management system for steel processing is proposed.

[0008] The object of the present invention can be achieved by the following technical solutions: An intelligent management system for steel processing, the system includes: an ore material selection module, which is used to detect the ore with an electron energy spectrometer to obtain the ore energy spectrum, analyze the iron content of the ore based on the energy spectrum, and then judge whether it meets the requirements of steel processing. If it meets, it can be used as the raw material for steel processing.

[0009] A heating duration analysis module, which is used to detect a billet by using a laser scanner to obtain the volume of the corresponding billet, and use a temperature sensor to obtain the initial temperature of the billet, and then analyze the theoretical heating duration of the billet in the heating furnace.

[0010] A heating power adjustment module, which is used to judge whether it is necessary to adjust the heating power of the heating furnace based on the theoretical heating duration of the billet. If it is necessary, the preset limited heating duration is used as the required heating duration, and the required heating power is obtained and then the heating power of the heating furnace is adjusted. If it is not necessary, the theoretical heating duration is used as the required heating duration, and the preset default heating power is used as the required heating power.

[0011] A billet heating execution module, which is used to perform heating operations based on the analyzed required heating duration and required heating power.

[0012] A billet temperature acquisition module, which is used to use an infrared thermal imager to collect the thermal image of the billet in the heating furnace in real time, and then analyze the billet temperature according to the thermal image.

[0013] A billet heating adjustment module, which is used to combine the real-time collected billet temperature with the heating duration to analyze whether it is necessary to adjust the billet heating. If it is necessary, adjustment operations are performed.

[0014] A hot rolling quality analysis module, which is used to detect a hot rolling product by using an X-ray diffraction device to obtain the diffraction patterns of several detection regions, and analyze the uniform distribution of the structure of the hot rolling product, and then judge whether the hot rolling product meets the process requirements.

[0015] A defective product analysis module, which is used to analyze the traceability defect direction of the hot rolling product when it is judged that it does not meet the process requirements. The traceability defect direction specifically refers to ore material defects and hot rolling process defects.

[0016] A data management library, which is used to store the relationship between the color depth of the thermal image and the temperature and the characteristic peak intensities of the standard sample in the energy spectrum.

[0017] In a preferred embodiment of the present invention, the steps of analyzing the iron content of the ore are as follows: locate the position of the characteristic peak of the iron element in the ore energy spectrum, then measure the intensity of the characteristic peak of the iron element, and compare it with the characteristic peak intensities of the standard sample stored in the data storage library in the energy spectrum to obtain the content of the iron element in the corresponding ore.

[0018] Compare the iron element content of the ore with the total mass of the ore to obtain the iron content of the corresponding ore.

[0019] The judgment of whether the steel processing requirements are met is as follows: Compare the iron content of the analyzed ore with the preset iron content of the qualified ore. When the iron content of the ore is greater than or equal to the iron content of the qualified ore, the ore meets the steel processing requirements; conversely, when the iron content of the ore is less than the iron content of the qualified ore, the ore does not meet the steel processing requirements.

[0020] In a preferred embodiment of the present invention, the analysis of the theoretical heating duration of the steel billet in the heating furnace is as follows: Substitute the volume V of the steel billet into the heating parameter relationship formula to calculate the theoretical heating duration T of the steel billet, where C represents the specific heat capacity of the steel billet, ρ represents the density of the steel billet, P 0 represents the preset default heating power, t 0 represents the initial temperature of the steel billet, and t 需求 represents the required temperature for rolling the steel billet.

[0021] In a preferred embodiment of the present invention, the judgment of whether it is necessary to adjust the heating power of the heating furnace is as follows: Compare the analyzed theoretical heating duration with the restricted heating duration corresponding to the hot rolling heating process of steel processing preset in advance. When the theoretical heating duration is less than or equal to the restricted heating duration, there is no need to adjust the heating power; when the theoretical heating duration is greater than the restricted heating duration, it is necessary to adjust the heating power.

[0022] In a preferred embodiment of the present invention, the steps for obtaining the required heating power are as follows: When it is judged that the heating power needs to be adjusted, substitute the volume V, surface area S, and restricted heating duration T of the steel billet 0 into the formula to calculate the adjusted heating power P'.

[0023] Take the adjusted heating power as the required heating power.

[0024] In a preferred embodiment of the present invention, the steps for analyzing the temperature of the steel billet according to the thermal image are as follows: Extract the thermal image of the steel billet in the heating furnace obtained by the infrared thermal imager.

[0025] Compare the chromaticities corresponding to the thermal image of the steel billet with the relationship between the chromaticity of the thermal image and the temperature in the data repository to obtain the temperature corresponding to each chromaticity of the thermal image of the steel billet.

[0026] Import the thermal image of the steel billet into the image processing software to obtain the contour corresponding to each chromaticity, and then obtain the area of the region corresponding to each chromaticity contour.

[0027] Calculate the ratio of the area of the region corresponding to each chromaticity contour to the total area of the thermal image to obtain the area ratio corresponding to each chromaticity.

[0028] The area ratio of each chromaticity corresponding region is multiplied by the corresponding temperature and then summed to obtain the real-time billet temperature.

[0029] In a preferred embodiment of the present invention, the analysis of whether the billet heating needs to be adjusted is as follows: When the heating duration is less than or equal to the required heating duration and the real-time billet temperature reaches the required temperature, there is no need to adjust the billet heating. At the same time, the heating operation is stopped, and the subsequent rolling operation is carried out.

[0030] When the heating duration is equal to the required heating duration and the real-time billet temperature does not reach the required temperature, the billet heating needs to be adjusted.

[0031] The adjustment analysis is as follows: When the heating duration is equal to the required heating duration and does not reach the limited heating duration, calculate the remaining duration from the required heating duration to the end of the limited heating duration. Then, based on the remaining duration, obtain the secondary adjustment power of the heating furnace and heat the billet according to the secondary adjustment power until the real-time billet temperature reaches the required temperature. Then, stop heating and carry out the subsequent rolling operation.

[0032] When the heating duration is greater than the limited heating duration, adjust the heating power to the rated power of the heating furnace to heat the billet until the temperature reaches the required temperature, stop heating, and carry out the subsequent rolling operation.

[0033] In a preferred embodiment of the present invention, the steps for analyzing the uniform distribution of the microstructure of the hot-rolled product are as follows: Extract the diffraction patterns corresponding to each detection region.

[0034] Obtain the diffraction angles corresponding to each detection region from the diffraction patterns corresponding to each detection region, and substitute the diffraction angle θ corresponding to each detection region into the Bragg equation Calculate the lattice spacing d of each detection region, where n represents the diffraction order and λ represents the wavelength of the incident X-ray.

[0035] Calculate the average lattice spacing by averaging the lattice spacings of each detection region, and compare the lattice spacings of each detection region to obtain the maximum lattice spacing and the minimum lattice spacing.

[0036] Substitute the maximum lattice spacing, the minimum lattice spacing, and the average lattice spacing into the microstructure uniformity analysis formula Obtain the microstructure uniformity ψ of the hot-rolled product, where d max represents the maximum lattice spacing, d min represents the minimum lattice spacing, represents the average lattice spacing.

[0037] In a preferred embodiment of the present invention, the judgment on whether the hot-rolled product meets the process requirements is as follows: Compare the tissue uniformity of the hot-rolled product with the preset qualified tissue uniformity. When the tissue uniformity of the hot-rolled product is greater than or equal to the preset qualified tissue uniformity, the hot-rolled product meets the process requirements; when the tissue uniformity of the hot-rolled product is less than the preset qualified tissue uniformity, the hot-rolled product does not meet the process requirements.

[0038] In a preferred embodiment of the present invention, the steps for analyzing the traceability defects of the hot-rolled product are as follows: Mark the hot-rolled products judged to meet the process requirements as qualified products, mark the hot-rolled products judged not to meet the process requirements as unqualified products, and count the quantities of qualified products and unqualified products.

[0039] Use an electron energy spectrometer to obtain the energy spectra of qualified products and unqualified products respectively, and then analyze to obtain the iron element content of each qualified product and the iron element content of each unqualified product.

[0040] Calculate the iron content percentage of each qualified product by calculating the ratio of the iron element content of each qualified product to the quality of each qualified product, and calculate the iron content percentage of each unqualified product by calculating the ratio of the iron element content of each unqualified product to the quality of each unqualified product.

[0041] Calculate the average iron content of qualified products by calculating the average value of the iron content percentages of each qualified product.

[0042] Compare the iron content percentage of each unqualified product with the average iron content of qualified products to obtain the deviation index of the iron content percentage of each unqualified product. Then compare the deviation index of the iron content percentage of each unqualified product with the preset allowable deviation index. When the deviation index of the iron content percentage of a certain unqualified product is less than or equal to the allowable deviation index, the traceability defect of this unqualified product points to a hot-rolling process defect; when the deviation index of the iron content percentage of a certain unqualified product is greater than the allowable deviation index, the traceability defect of this unqualified product points to an ore material defect.

[0043] Count the quantities of unqualified products whose traceability defects point to ore material defects and hot-rolling process defects. Then calculate the ratios of the quantities of unqualified products corresponding to ore material defects and hot-rolling process defects to the quantity of qualified products respectively to obtain the proportion of ore material defects and the proportion of hot-rolling process defects.

[0044] Compare the proportion of ore material defects and the proportion of hot-rolling process defects. When the proportion of ore material defects is greater than the proportion of hot-rolling process defects, the traceability defect of the hot-rolled product points to an ore material defect; when the proportion of ore material defects is less than the proportion of hot-rolling process defects, the traceability defect of the hot-rolled product points to a hot-rolling process defect.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) During the hot rolling heating process, the present invention analyzes the initial temperature of the billet and then analyzes the heating duration and heating power. This analysis method fully considers the differences of the billets, adopts targeted heating power and heating duration for different billets, improves the accuracy of hot rolling heating operations, can reduce waste of resources, improve the stability of product quality, and improve the production efficiency of the production line.

[0046] (2) By comprehensively analyzing the heating power and heating duration of the billet based on the billet parameters and the limited duration, the present invention can accurately coordinate the balance between production efficiency and resource conservation, avoid affecting subsequent processes, and ensure the production efficiency of hot rolled products.

[0047] (3) By using an infrared thermal imager to analyze the temperature distribution of the billet during the hot rolling heating process and then obtaining accurate billet temperature information, the present invention avoids the interference of the heating furnace ambient temperature, provides accurate reference for billet heating operations, and reduces the impact of the difference between the collected temperature and the actual temperature on product quality and process progress.

[0048] (4) By tracing and analyzing the influencing factors of defective products to obtain the traceability defect abnormal indication, the present invention forms a closed-loop analysis of product quality and production process flow, improves the stability and reliability of product quality, provides reference for the continuous optimization of the production process flow, avoids product quality problems and reduced production efficiency caused by raw material or process problems, and reduces waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0050] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0052] Please refer to Figure 1As shown, the present invention provides an intelligent management system for steel processing, which includes an ore material selection module, a heating time analysis module, a heating power adjustment module, a billet heating execution module, a billet temperature acquisition module, a billet heating adjustment module, a hot rolling quality analysis module, a defective product analysis module and a data storage library. The ore material selection module is connected to the heating time analysis module, the heating time analysis module is connected to the heating power adjustment module, the heating power adjustment module is connected to the billet heating execution module, the billet heating execution module is connected to the billet temperature acquisition module, the billet temperature acquisition module is connected to the billet heating adjustment module, the billet heating adjustment module is connected to the hot rolling quality analysis module, the hot rolling quality analysis module is connected to the defective product analysis module, and the data storage library is connected to the ore material selection module and the billet temperature acquisition module respectively.

[0053] The ore material selection module is used to detect the ore using an electronic spectrometer to obtain the ore energy spectrum, analyze the iron content of the ore based on the energy spectrum, and then determine whether it meets the steel processing requirements. If so, it can be used as a raw material for steel processing.

[0054] Preferably, the characteristic peak position of the iron element is located in the ore energy spectrum, and then the intensity of the characteristic peak of the iron element is measured, and it is compared with the characteristic peak intensity of the standard sample in the energy spectrum stored in the data repository to obtain the corresponding ore iron content.

[0055] It should be noted that the method for obtaining the characteristic peak intensity of the standard sample in the energy spectrum is to obtain the characteristic peak intensity of the standard sample in the energy spectrum by accurately measuring the characteristic X-ray radiation intensity generated by the standard sample under X-ray irradiation. In this process, the standard sample must have a known and accurate iron content. After being irradiated by the X-ray source, it will emit characteristic X-rays of specific energy related to the iron element. The detector will capture and record the intensity of these characteristic X-rays, that is, the characteristic peak intensity, which is directly related to the iron content in the standard sample. By measuring and analyzing the characteristic peak intensity of the standard sample in the energy spectrum, a calibration curve or mathematical model can be established to accurately derive the iron content in the iron ore to be tested.

[0056] The iron content of the ore is compared with the total mass of the ore to obtain the iron content of the corresponding ore.

[0057] Further preferably, the analyzed ore iron content is compared with a preset standard ore iron content. When the ore iron content is greater than or equal to the standard ore iron content, the ore meets the steel processing requirements. Conversely, when the ore iron content is less than the standard ore iron content, the ore does not meet the steel processing requirements.

[0058] It should be noted that the reasons for setting the qualified iron content in the ore are as follows: 1. The iron content in the ore directly determines the chemical composition of the steel. Sufficient iron content can ensure that the steel has the expected physical and chemical properties, such as hardness, strength, ductility, and corrosion resistance; 2. The higher the iron content in the ore, the higher the efficiency in the extraction and processing process, thereby reducing the waste of raw materials and improving production efficiency; 3. Selecting ore with sufficient iron content can reduce the negative impact on the environment. If the iron content in the ore is insufficient, more auxiliary materials and energy are required to extract and process iron, which not only increases energy consumption and waste emissions but also may cause greater pressure on the environment.

[0059] The heating duration analysis module is used to detect the volume of the billet using a laser scanner, obtain the initial billet temperature using a temperature sensor, and then analyze the theoretical heating duration of the billet in the heating furnace.

[0060] It should be noted that in the actual production process, the initial billet temperature is approximately equal to the ambient temperature. Therefore, the initial temperature of the billet is different in winter and summer, and the energy consumption to reach the required temperature is different, which will affect the heating duration or heating power. At this time, using a fixed heating power is not accurate enough.

[0061] Preferably, substitute the volume V of the billet into the heating parameter relationship formula to calculate the theoretical heating duration T of the billet, where C represents the specific heat capacity of the billet, ρ represents the density of the billet, P 0 represents the preset default heating power, t 0 represents the initial billet temperature, and t 需求 represents the required temperature for rolling the billet.

[0062] Exemplarily, P 0 = 3000kW, V 0 = 2.5m 3 , ρ = 7850kg / m 3 , C = 500J / (kg·℃), t 0 = 25℃, t 需求 = 800℃.

[0063] It should be noted that in the hot rolling heating process of the present invention, by analyzing the initial temperature of the billet, the heating duration and heating power are further analyzed. This analysis method fully considers the differences of the billets, adopts targeted heating power and heating duration for different billets, improves the accuracy of the hot rolling heating operation, can reduce the waste of resources, improve the stability of product quality, and improve the production efficiency of the production line.

[0064] The heating power adjustment module is used to determine whether it is necessary to adjust the heating power of the heating furnace based on the theoretical heating duration of the billet. If it is necessary, the preset limited heating duration is used as the required heating duration, and the required heating power is obtained, and then the heating power of the heating furnace is adjusted. If it is not necessary, the theoretical heating duration is used as the required heating duration, and the preset default heating power is used as the required heating power.

[0065] It should be noted that the reason for setting the limited heating duration is as follows: too long heating time will increase energy consumption, reduce the operating efficiency of the heating furnace, and then affect the process of subsequent operation procedures. Reasonably setting the heating duration can reduce energy consumption while ensuring the heating quality of the billet, ensure the orderly progress of the process, and improve production efficiency.

[0066] Preferably, the analyzed theoretical heating duration is compared with the preset limited heating duration corresponding to the hot rolling heating process of steel processing. When the theoretical heating duration is less than or equal to the limited heating duration, there is no need to adjust the heating power. When the theoretical heating duration is greater than the limited heating duration, it is necessary to adjust the heating power.

[0067] Further preferably, when it is determined that the heating power needs to be adjusted, the volume V, surface area S, and limited heating duration T of the billet 0 are substituted into the formula to calculate the adjusted heating power P'.

[0068] Exemplarily, T 0 = 0.7h.

[0069] The adjusted heating power is used as the required heating power.

[0070] The billet heating execution module is used to perform heating operations based on the analyzed required heating duration and required heating power.

[0071] The billet temperature acquisition module is used to use an infrared thermal imager to collect the thermal image of the billet in the heating furnace in real time, and then analyze the billet temperature according to the thermal image.

[0072] Preferably, the thermal image of the billet in the heating furnace obtained by the infrared thermal imager is extracted.

[0073] The chromaticities corresponding to the thermal image of the billet are compared with the relationship between the thermal image chromaticity and temperature in the data repository to obtain the temperature corresponding to each chromaticity of the thermal image of the billet.

[0074] The thermal image of the billet is imported into image processing software to obtain the contour corresponding to each chromaticity, and then the area of the region corresponding to each chromaticity contour is obtained.

[0075] Calculate the ratio of the area of the region corresponding to each chromaticity to the total area of the thermal image to obtain the area ratio corresponding to each chromaticity.

[0076] Multiply the area ratio corresponding to each chromaticity by the corresponding temperature and then perform a summation calculation to obtain the real-time billet temperature.

[0077] It should be noted that the present invention analyzes the temperature distribution of the billet during the hot rolling heating process by using an infrared thermal imager to obtain accurate billet temperature information, avoiding the interference of the heating furnace ambient temperature, providing accurate reference for the billet heating operation, and reducing the impact of the difference between the collected temperature and the actual temperature on the product quality and process progress.

[0078] The billet heating adjustment module is used to analyze whether the billet heating needs to be adjusted by combining the real-time collected billet temperature with the heating duration. If necessary, adjustment operations are performed.

[0079] Preferably, when the heating duration is less than or equal to the required heating duration and the real-time billet temperature reaches the required temperature, there is no need to adjust the billet heating. At the same time, stop the heating operation and perform subsequent rolling operations.

[0080] When the heating duration is equal to the required heating duration and the real-time billet temperature does not reach the required temperature, the billet heating needs to be adjusted.

[0081] Further preferably, when the heating duration is equal to the required heating duration and does not reach the limited heating duration, calculate the remaining duration from the required heating duration to the end of the limited heating duration, and then obtain the secondary adjustment power of the heating furnace based on the remaining duration and heat the billet according to the secondary adjustment power until the real-time billet temperature reaches the required temperature, then stop heating and perform subsequent rolling operations.

[0082] When the heating duration is greater than the limited heating duration, adjust the heating power to the rated power of the heating furnace to heat the billet until the temperature reaches the required temperature, then stop heating and perform subsequent rolling operations.

[0083] It should be explained that the rated power refers to the maximum heating power of the heating equipment, and the secondary adjustment power should be less than or equal to the rated power.

[0084] It should be noted that the present invention can accurately coordinate the balance between production efficiency and resource conservation by comprehensively analyzing the heating power and heating duration of the billet based on billet parameters and limited duration, avoiding affecting subsequent processes and ensuring the production efficiency of hot-rolled products.

[0085] It should be noted that in the actual production process, the actual heating duration is greater than the required heating duration due to heat loss.

[0086] The hot-rolling quality analysis module is used to detect hot-rolled products by means of X-ray diffraction equipment to obtain diffraction patterns of several detection regions, analyze the uniformity of the tissue distribution of the hot-rolled products, and then determine whether the hot-rolled products meet the process requirements.

[0087] Preferably, the diffraction patterns corresponding to each detection region are extracted.

[0088] The diffraction angles corresponding to each detection region are obtained from the diffraction patterns corresponding to each detection region, and the diffraction angles θ corresponding to each detection region are substituted into the Bragg equation The lattice spacing d of each detection region is calculated, where n represents the diffraction order and λ represents the wavelength of the incident X-ray.

[0089] The mean value of the lattice spacings of each detection region is calculated to obtain the average lattice spacing, and the lattice spacings of each detection region are compared to obtain the maximum lattice spacing and the minimum lattice spacing.

[0090] The maximum lattice spacing, the minimum lattice spacing, and the average lattice spacing are substituted into the tissue uniformity analysis formula The tissue uniformity ψ of the hot-rolled product is obtained, where d max represents the maximum lattice spacing, d min represents the minimum lattice spacing, represents the average lattice spacing.

[0091] It should be added that the tissue uniformity of the hot-rolled product reflects the uniformity of the internal tissue structure of the material during the hot-rolling process, specifically reflecting the distribution uniformity of grain size, mechanical properties, phase transformation, etc.

[0092] Further preferably, the tissue uniformity of the hot-rolled product is compared with the preset qualified tissue uniformity. When the tissue uniformity of the hot-rolled product is greater than or equal to the preset qualified tissue uniformity, the hot-rolled product meets the process requirements. When the tissue uniformity of the hot-rolled product is less than the preset qualified tissue uniformity, the hot-rolled product does not meet the process requirements.

[0093] It should be noted that the reasons for selecting the uniformity of tissue distribution as the basis for judging whether the product quality is qualified are as follows: 1. Products with uniform tissue distribution often have more stable performance, improving the reliability and durability of the products; 2. Products with uniform tissue distribution usually have higher strength and toughness, reducing the damage caused by local stress concentration; 3. Uniform tissue distribution means that it is easier to perform process operations such as cutting, stamping, and welding, improving the processing efficiency and product quality.

[0094] It should be added that the influence of ore materials and hot rolling processes on the uniformity of the structure is as follows: 1. The chemical composition in ore materials directly affects the chemical composition of steel products. Steels with different chemical compositions will produce different microstructures and properties during hot rolling; 2. Temperature, speed, and pressure during hot rolling have an important impact on the structure uniformity. Conducting hot rolling within an appropriate parameter range is conducive to the plastic deformation and grain refinement of steel, thereby improving the structure uniformity. If the temperature is too high or too low, it may lead to non-uniform structures, such as coarse grains and banded structures.

[0095] The defective product analysis module is used to analyze the traceability defect directions of hot-rolled products when it is judged that they do not meet the process requirements. The traceability defect directions specifically refer to ore material defects and hot rolling process defects.

[0096] Preferably, hot-rolled products judged to meet the process requirements are recorded as qualified products, and hot-rolled products judged not to meet the process requirements are recorded as unqualified products, and the quantities of qualified products and unqualified products are counted.

[0097] Use an electron energy spectrometer to obtain the energy spectra of qualified products and unqualified products respectively, and then analyze to obtain the iron element content of each qualified product and the iron element content of each unqualified product.

[0098] Calculate the iron content ratio of each qualified product by calculating the ratio of the iron element content of each qualified product to the quality of each qualified product, and calculate the iron content ratio of each unqualified product by calculating the ratio of the iron element content of each unqualified product to the quality of each unqualified product.

[0099] Calculate the average iron content of qualified products by calculating the average value of the iron content of each qualified product.

[0100] Compare the iron content of each unqualified product with the average iron content of qualified products to obtain the deviation index of the iron content of each unqualified product. Then, compare the deviation index of the iron content of each unqualified product with the preset allowable deviation index. When the deviation index of the iron content of a certain unqualified product is less than or equal to the allowable deviation index, the traceability defect direction of this unqualified product is a hot rolling process defect. When the deviation index of the iron content of a certain unqualified product is greater than the allowable deviation index, the traceability defect direction of this unqualified product is an ore material defect.

[0101] Count the quantities of unqualified products with traceability defect directions of ore material defects and hot rolling process defects. Then, calculate the ratios of the quantities of unqualified products corresponding to ore material defects and unqualified products corresponding to hot rolling process defects to the quantity of qualified products respectively to obtain the ore material defect ratio and the hot rolling process defect ratio.

[0102] Compare the proportion of ore material defects and the proportion of hot rolling process defects. When the proportion of ore material defects is greater than the proportion of hot rolling process defects, the traced defect of the hot rolled product points to ore material defects. When the proportion of ore material defects is less than the proportion of hot rolling process defects, the traced defect of the hot rolled product points to hot rolling process defects.

[0103] It should be noted that the present invention obtains the abnormal direction of traced defects through the traceability analysis of the influencing factors of defective products, forms a closed-loop analysis of product quality and production process flow, improves the stability and reliability of product quality, provides a reference for the continuous optimization of the production process flow, avoids product quality problems and reduced production efficiency caused by raw material or process problems, and reduces resource waste.

[0104] The data repository is used to store the relationship between the color depth of the heat map and the temperature and the characteristic peak intensity of the standard sample in the energy spectrum.

[0105] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should fall within the protection scope of the present invention.

Claims

1. An intelligent management system for steel processing, characterized in that: The system includes: The ore material selection module is used to detect the ore using an electronic spectrometer to obtain the ore energy spectrum, analyze the iron content of the ore based on the energy spectrum, and then determine whether it meets the requirements for steel processing. If so, it can be used as a raw material for steel processing; The heating time analysis module is used to detect the steel billet using a laser scanner to obtain the volume of the corresponding steel billet, and to obtain the initial steel billet temperature using a temperature sensor, and then analyze the theoretical heating time of the steel billet in the heating furnace; The volume of the billet Substitute the heating parameter relationship formula Calculate the theoretical heating time of the steel billet ,in represents the specific heat capacity of the steel billet, Indicates the density of the steel billet, Indicates the preset default heating power. represents the initial billet temperature, Indicates the required temperature for billet rolling; A heating power adjustment module is used to determine whether the heating power of the heating furnace needs to be adjusted based on the theoretical heating time of the steel billet. If necessary, the preset limited heating time is used as the required heating time, and the required heating power is obtained to adjust the heating power of the heating furnace. If not, the theoretical heating time is used as the required heating time, and the preset default heating power is used as the required heating power; A billet heating execution module is used to perform heating operations based on the required heating time and required heating power obtained by analysis; The billet temperature acquisition module is used to use an infrared thermal imager to collect the thermal image of the billet in the heating furnace in real time, and then analyze the billet temperature based on the thermal image; The billet heating adjustment module is used to analyze whether the billet heating needs to be adjusted by combining the real-time collected billet temperature with the heating time, and if necessary, to perform the adjustment operation; Hot rolling quality analysis module, used to detect hot-rolled products using X-ray diffraction equipment to obtain diffraction patterns of several detection areas, and analyze the uniformity of the organization distribution of hot-rolled products, and then determine whether the hot-rolled products meet the process requirements; A defective product analysis module, used to analyze the traceability defect direction of the hot-rolled product when it is judged whether it meets the process requirements or not, and the traceability defect direction is specifically ore material defects and hot rolling process defects; The hot-rolled products are tested by X-ray diffraction equipment to obtain diffraction patterns of several test areas, and the uniform distribution of the organization of the hot-rolled products is analyzed to determine whether the hot-rolled products meet the process requirements. The hot-rolled products are analyzed and judged to be qualified products based on the uniform distribution of the organization of the hot-rolled products, and unqualified hot-rolled products are further analyzed to determine whether they are ore material defects or hot-rolling process defects; A data repository for storing the relationship between the chromaticity and temperature of the thermal map and the characteristic peak intensity of the standard sample in the energy spectrum.

2. The intelligent management system for steel processing according to claim 1, characterized in that: The steps of analyzing the iron content of the ore are as follows: Locate the characteristic peak position of the iron element in the ore energy spectrum, then measure the intensity of the characteristic peak of the iron element, and compare it with the characteristic peak intensity of the standard sample in the energy spectrum stored in the data repository to obtain the corresponding iron content of the ore; Compare the iron content of the ore with the total mass of the ore to obtain the iron content of the corresponding ore; The determination of whether the steel processing requirements are met is as follows: The iron content of the analyzed ore is compared with the pre-set standard iron content of the ore. When the iron content of the ore is greater than or equal to the standard iron content of the ore, the ore meets the requirements for steel processing. Conversely, when the iron content of the ore is less than the standard iron content of the ore, the ore does not meet the requirements for steel processing.

3. The intelligent management system for steel processing according to claim 1, characterized in that: The determination of whether the heating power of the heating furnace needs to be adjusted is specifically as follows: The analyzed theoretical heating time is compared with the preset limited heating time corresponding to the hot rolling heating process of steel processing. When the theoretical heating time is less than or equal to the limited heating time, the heating power does not need to be adjusted. When the theoretical heating time is greater than the limited heating time, the heating power needs to be adjusted.

4. The intelligent management system for steel processing according to claim 1, characterized in that: The steps for obtaining the required heating power are as follows: When it is determined that the heating power needs to be adjusted, the volume of the billet is and limit heating time Substitute into the formula Calculate and adjust the heating power ; The heating power is adjusted as the required heating power.

5. The intelligent management system for steel processing according to claim 1, characterized in that: The steps of analyzing the temperature of the steel billet according to the thermal image are as follows: Extract the thermal image of the steel billet in the heating furnace obtained by the infrared thermal imager; Compare the chromaticity corresponding to the thermal image of the steel billet with the relationship between the chromaticity and temperature of the thermal image in the data repository to obtain the temperature corresponding to the chromaticity of the thermal image of the steel billet; The thermal image of the steel billet is imported into the image processing software to obtain the contours corresponding to each chromaticity, and then the area of ​​the contour corresponding to each chromaticity is obtained; The area ratio of the contour area corresponding to each chromaticity is calculated by comparing the area ratio of the contour area corresponding to each chromaticity to the total area of ​​the thermal image. The area ratio corresponding to each chromaticity is multiplied by the corresponding temperature and then summed up to obtain the real-time billet temperature.

6. The intelligent management system for steel processing according to claim 1, characterized in that: The analysis of whether the heating of the steel billet needs to be adjusted is as follows: When the heating time is less than or equal to the required heating time and the real-time billet temperature reaches the required temperature, there is no need to adjust the billet heating, and the heating operation is stopped at the same time, and the subsequent rolling operation is carried out; When the heating time is equal to the required heating time and the real-time billet temperature does not reach the required temperature, the billet heating needs to be adjusted; The mediation analysis was performed as follows: When the heating time is equal to the required heating time and has not reached the limited heating time, the remaining time from the required heating time to the end of the limited heating time is calculated, and then the secondary adjustment power of the heating furnace is obtained based on the remaining time, and the billet is heated according to the secondary adjustment power until the real-time billet temperature reaches the required temperature, and then the heating is stopped and subsequent rolling operations are performed; When the heating time is longer than the limited heating time, the heating power is adjusted to the rated power of the heating furnace to heat the steel billet until the temperature reaches the required temperature, and the heating is stopped and subsequent rolling operations are carried out.

7. The intelligent management system for steel processing according to claim 1, characterized in that: The steps for analyzing the uniform distribution of the hot-rolled product are as follows: Extracting the diffraction pattern corresponding to each detection area; The diffraction angle corresponding to each detection area is obtained from the diffraction pattern corresponding to each detection area, and the diffraction angle corresponding to each detection area is Substituting into the Bragg equation Calculate the lattice spacing of each detection area ,in represents the diffraction order, represents the wavelength of the incident X-ray; The lattice spacings of each detection area are averaged to obtain an average lattice spacing, and the lattice spacings of each detection area are compared to obtain a maximum lattice spacing and a minimum lattice spacing; Substitute the maximum lattice spacing, minimum lattice spacing and average lattice spacing into the organization uniformity analysis formula Get the uniformity of the hot rolled product ,in represents the maximum lattice spacing, represents the minimum lattice spacing, represents the average lattice spacing.

8. The intelligent management system for steel processing according to claim 1, characterized in that: The determination of whether the hot-rolled product meets the process requirements is as follows: The hot-rolled product's organizational uniformity is compared with the preset standard organizational uniformity. When the hot-rolled product's organizational uniformity is greater than or equal to the preset standard organizational uniformity, the hot-rolled product meets the process requirements. When the hot-rolled product's organizational uniformity is less than the preset standard organizational uniformity, the hot-rolled product does not meet the process requirements.

9. The intelligent management system for steel processing according to claim 8, characterized in that: The steps of analyzing the traceability defects of hot-rolled products are as follows: Hot-rolled products that meet the process requirements are recorded as qualified products, and hot-rolled products that do not meet the process requirements are recorded as unqualified products, and the number of qualified products and unqualified products is counted; The energy spectra of qualified products and the energy spectra of unqualified products are obtained by using an electronic spectrometer, and then the iron content of each qualified product and the iron content of each unqualified product are obtained by analysis; The iron content of each qualified product is calculated by dividing the iron content of each qualified product by the weight of each qualified product, and the iron content of each unqualified product is calculated by dividing the iron content of each unqualified product by the weight of each unqualified product; The iron content of each qualified product is averaged to obtain the average iron content of the qualified products; The iron content of each unqualified product is compared with the average iron content of qualified products to obtain the deviation index of the iron content of each unqualified product, and then the deviation index of the iron content of each unqualified product is compared with the preset allowable deviation index. When the iron content deviation index of an unqualified product is less than or equal to the allowable deviation index, the traceability defect of the unqualified product points to a hot rolling process defect. When the iron content deviation index of an unqualified product is greater than the allowable deviation index, the traceability defect of the unqualified product points to an ore material defect. Count the number of unqualified products whose traceable defects point to ore material defects and hot rolling process defects, and then calculate the proportion of ore material defects and hot rolling process defects by comparing the proportion of unqualified products corresponding to ore material defects and the proportion of unqualified products corresponding to hot rolling process defects with the number of qualified products; Comparing the proportion of ore material defects and the proportion of hot rolling process defects, when the proportion of ore material defects is greater than the proportion of hot rolling process defects, the traceability defects of hot-rolled products point to ore material defects; when the proportion of ore material defects is less than the proportion of hot rolling process defects, the traceability defects of hot-rolled products point to hot rolling process defects.

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