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CN-121390600-B - Microalloyed high-strength steel production system

CN121390600BCN 121390600 BCN121390600 BCN 121390600BCN-121390600-B

Abstract

The invention discloses a microalloyed high-strength steel production system, and relates to the technical field of steel production supervision. According to the invention, a real-time three-dimensional form field is established in a data sensing network according to collected data of a thermal sensor array and a laser imaging device, a real-time device parameter set is generated according to the operation process of production devices, a history three-dimensional form field is established, the history three-dimensional form field is divided into a short-term process three-dimensional form field, the short-term process three-dimensional form field is divided into detection cores, the short-term process three-dimensional form fields related to the same production raw material factors are mutually overlapped and mapped, dynamic reference clouds and ridge lines are further arranged on each detection core to obtain a standard three-dimensional form field, the real-time three-dimensional form field is divided into check cores, the short-term process three-dimensional form field is matched with the check cores from the standard three-dimensional form field through parameter pairing factors, and then the production devices corresponding to the parameter pairing factors are adjusted through the ripple benefit regulation mechanism.

Inventors

  • WANG CHAO
  • PEI XIAODONG
  • LIU ZHIXING
  • Wang Dousheng
  • ZHANG SHAOKAI
  • Yang Jiangjie

Assignees

  • 金鼎重工有限公司

Dates

Publication Date
20260512
Application Date
20251225

Claims (8)

  1. 1. The micro-alloying high-strength steel production system is characterized by comprising a production sensing module, a production step analysis module and a production regulation and control module; The production sensing module is used for installing a thermal sensor array and a laser imaging device on each production equipment, establishing a data sensing network according to the installation positions of the thermal sensor array and the laser imaging device, establishing a real-time three-dimensional morphological field in the data sensing network according to the collected data of the thermal sensor array and the laser imaging device in the process of steel passing through each production step, and generating a real-time equipment parameter set according to the operation process of the production equipment; the production step analysis module is used for acquiring a historical three-dimensional form field, production raw material factors and equipment process factors according to historical steel production records, dividing the historical three-dimensional form field into short-term process three-dimensional form fields according to time sequences of the equipment process factors in the historical steel production records, dividing the short-term process three-dimensional form fields into detection cores, mutually overlapping and mapping the short-term process three-dimensional form fields related to the same production raw material factors, and setting dynamic reference clouds and dynamic reference cloud ridgelines for each detection core to obtain standard three-dimensional form fields under different production raw material factor combinations; The production regulation and control module is used for generating a parameter pairing factor matching standard three-dimensional form field according to a real-time equipment parameter set, dividing the real-time three-dimensional form field into a verification core, matching the short-term process three-dimensional form field with the verification core from the standard three-dimensional form field through the parameter pairing factor, and regulating production equipment corresponding to the parameter pairing factor through setting a ripple benefit regulation and control mechanism according to the matching relation between the verification core and a dynamic reference cloud ridge line on the detection core.
  2. 2. The micro alloyed high strength steel production system of claim 1 wherein the process of installing the thermal sensor array and the laser imaging means to the production facility and establishing the data perception network comprises: Installing a thermal sensor array and a laser imaging device on each production equipment, performing communication connection between all the thermal sensor arrays and the laser imaging devices and a production sensing module, and establishing a data sensing network according to a communication connection result by the production sensing module; The data sensing network consists of a plurality of infrared sensing nodes and laser sensing nodes, the thermal sensor array and the laser imaging device of each production device are mutually time-synchronized, then the steel production process is started, and meanwhile, the production sensing module sends the target steel grade number and performance requirements to the production step analysis module and the production regulation and control module.
  3. 3. A microalloyed high strength steel production system in accordance with claim 2 wherein the process of establishing a real-time three-dimensional morphological field in the data-aware network comprises: The steel production process comprises steelmaking, continuous casting, hot rolling and cooling, wherein each thermal sensor monitors the temperature distribution of the surface of the steel in real time, the data perception network generates a real-time two-dimensional temperature field according to the data acquisition result of each thermal sensor, and meanwhile, the laser imaging device sends a laser signal to the steel, and further, the data perception network generates a real-time three-dimensional form field according to the fluctuation of the surface of the steel and the reflection characteristic of the laser signal, wherein the real-time two-dimensional temperature field covers the surface of the real-time three-dimensional form field; setting a perception updating period, and then updating a real-time two-dimensional temperature field and a real-time three-dimensional form field in a data perception network by a production perception module every time when one perception updating period is finished, and simultaneously automatically acquiring a real-time equipment parameter set every time when production equipment calls a new component to execute a production step.
  4. 4. A microalloyed high strength steel production system in accordance with claim 3 wherein the process of generating a historical three-dimensional morphological field surface from historical steel production records comprises: According to the grade of the target steel grade and performance requirements, a historical steel production record is prepared, wherein the historical steel production record comprises a technological parameter set, temperature historical data and morphological evolution historical data corresponding to the whole flow of steel grade steelmaking, continuous casting, hot rolling and cooling; The technological parameter set comprises steel raw materials, alloying parameters and component operation records of all production equipment in the steel production and processing process; For any historical steel production record, retrieving form evolution historical data to establish a historical three-dimensional form field, and setting a historical temperature field on the surface of the historical three-dimensional form field according to the temperature historical data; generating a plurality of production raw material factors and equipment process factors according to various data in a process parameter set according to the time sequence of steel processing steps; the production raw material factors comprise steel raw materials and alloying parameters, and the equipment process factors comprise various data in the component operation records; marking all production raw material factors and equipment process factors on a historical three-dimensional morphological field in sequence according to time sequence relativity of temperature historical data, morphological evolution historical data and all data in a process parameter set in a historical steel production record; Dividing the historical three-dimensional form field into a plurality of short-term process three-dimensional form fields according to the start-stop marking time of each equipment process factor, and marking the short-term process three-dimensional form fields with associated characteristic data according to the data content contained in the equipment process factors.
  5. 5. The micro-alloyed high-strength steel production system of claim 4, wherein the process of setting the dynamic reference cloud and dynamic reference cloud ridgeline of the detection core comprises: establishing a three-dimensional coordinate system, mapping short-term process three-dimensional morphological fields with the same production raw material factors and corresponding to the same equipment process factors but from different historical steel production records into the same three-dimensional coordinate system, and dividing a plurality of time nodes with equal intervals on the three-dimensional coordinate system; dividing a short-term process three-dimensional morphological field into a plurality of detection cores with the same size, carrying out normal distribution on each item of data under each time node in the detection cores, and corresponding to parameter value intervals under the time nodes according to normal distribution results; setting dynamic reference clouds of a plurality of types of data in a short-term process three-dimensional form field according to parameter value intervals of the same data types of each detection core under the same time node, and taking the intermediate value of the parameter value interval as a dynamic reference cloud ridge line; And re-splicing all the short-term process three-dimensional morphological fields according to the division sequence to obtain standard three-dimensional morphological fields under different production raw material factor combinations.
  6. 6. The micro-alloyed high-strength steel production system of claim 5 wherein generating a parameter pairing factor matching standard three-dimensional morphological field from a real-time set of equipment parameters comprises: Generating a plurality of parameter pairing factors according to a real-time equipment parameter set, generating raw material pairing factors according to the target steel grade and performance requirements, and sequentially matching and calling a standard three-dimensional morphological field according to the appearance sequence of the raw material pairing factors; The method comprises the steps of sequentially arranging standard three-dimensional morphology fields according to the generation sequence of parameter pairing factors, dividing real-time three-dimensional morphology fields in a data perception network into the same number of check cores according to the number of detection cores contained in short-term process three-dimensional morphology fields associated with the latest generation of parameter pairing factors in the standard three-dimensional morphology fields, wherein the detection cores contain real-time associated characteristic data.
  7. 7. The micro-alloyed high-strength steel production system of claim 6, wherein the matching process of the dynamic reference cloud and dynamic reference cloud ridgeline on the verification core and the detection core comprises: Comparing the detection core with the associated characteristic data contained in the check core according to the space-time sequence, and judging the production equipment behaviors of the corresponding parameter pairing factors and the check core to be normal if the real-time associated characteristic data on the check core are in the corresponding dynamic reference cloud and the numerical distribution coincides with the dynamic reference cloud ridge line; If the real-time associated characteristic data on the check core are in the corresponding dynamic reference cloud, but the numerical value and the dynamic reference cloud ridge line are positioned above or below, adjusting the corresponding parameter pairing factors according to the next data updating period; If the real-time associated characteristic data exists on the verification core and is not in the corresponding dynamic reference cloud, judging that the current parameter pairing factor and the verification core are abnormal, and triggering a ripple benefit regulation mechanism to regulate the parameter pairing factor.
  8. 8. The micro-alloyed high-strength steel production system of claim 7 wherein the ripple-effect modulation mechanism comprises: When the parameter pairing factors are judged to be abnormal, according to the positions of the check cores when the parameter pairing factors are judged to be abnormal, the check cores of the adjacent space positions of the check cores are called, and the two parameter pairing factors are sequentially related with the current parameter pairing factors; Judging whether the verification kernels of the adjacent space positions are not overlapped with the dynamic reference cloud ridge line or not, or are not in the corresponding dynamic reference cloud, if the verification kernels are judged to be abnormal, connecting the verification kernels with the verification kernels which are judged to be abnormal first, and if the verification kernels are judged to be abnormal, repeatedly judging the verification kernels of the adjacent space positions of the corresponding verification kernels again until the production equipment behaviors of the corresponding parameter pairing factors and the verification kernels are judged to be normal; And calling the connection verification kernels to generate a correction area, and adjusting the current parameter pairing factors according to the two parameter pairing factors before and after the current parameter pairing factors in sequence, so that the execution parameter pairing factors carry out directional restoration on the correction area, and relevant characteristic data in the correction area are close to a dynamic reference cloud ridge line when verification is carried out, and the ripple benefit regulation mechanism is stopped until the corresponding production equipment behaviors and the verification kernels are judged to be normal.

Description

Microalloyed high-strength steel production system Technical Field The invention relates to the technical field of steel production supervision, in particular to a microalloyed high-strength steel production system. Background In the field of steel production, the microalloyed high-strength steel is widely applied to various industries such as construction, mechanical manufacturing, automobile industry and the like by virtue of the advantages of high strength, good toughness, processability and the like, however, the production process of the microalloyed high-strength steel is extremely complex, a plurality of production steps and various production equipment are involved, and the final quality and performance of the steel can be affected when any link is in a problem. The traditional microalloying high-strength steel production system mainly depends on manual experience and simple sensor monitoring, and is difficult to comprehensively and accurately control the production process. On the one hand, the real-time morphological change of the steel in each production step lacks an effective sensing means, and the problems of shape deviation, uneven temperature and the like of the steel in the production process cannot be found in time. On the other hand, in the production process, due to factors such as differences of production raw materials, fluctuation of equipment process and the like, it is difficult to quickly and accurately adjust production parameters so as to ensure the stability of steel quality. In addition, the traditional system lacks effective utilization of historical production data, can not carry out scientific analysis and guidance on the current production process according to historical experience, and therefore production efficiency is low, product quality is uneven, and production cost and rejection rate are increased. Disclosure of Invention The invention aims to provide a microalloyed high-strength steel production system which aims to solve the problem of the defects in the background technology. In order to achieve the above object, the present invention provides the following technical solutions: A micro-alloying high-strength steel production system comprises a production sensing module, a production step analysis module and a production regulation and control module; The production sensing module is used for installing a thermal sensor array and a laser imaging device on each production equipment, establishing a data sensing network according to the installation positions of the thermal sensor array and the laser imaging device, establishing a real-time three-dimensional morphological field in the data sensing network according to the collected data of the thermal sensor array and the laser imaging device in the process of steel passing through each production step, and generating a real-time equipment parameter set according to the operation process of the production equipment; The production step analysis module is used for acquiring a historical three-dimensional form field, production raw material factors and equipment process factors according to historical steel production records, dividing the historical three-dimensional form field into a plurality of short-term process three-dimensional form fields according to time sequences of the equipment process factors in the historical steel production records, dividing the short-term process three-dimensional form fields into detection cores, mutually overlapping and mapping the short-term process three-dimensional form fields related to the same production raw material factors, and setting dynamic reference clouds and dynamic reference cloudridge lines for each detection core to obtain standard three-dimensional form fields under different production raw material factor combinations; The production regulation and control module is used for generating a parameter pairing factor matching standard three-dimensional form field according to a real-time equipment parameter set, dividing the real-time three-dimensional form field in the data perception network into check cores, allocating a short-term process three-dimensional form field from the standard three-dimensional form field through the parameter pairing factor to match with the check cores, and regulating production equipment corresponding to the parameter pairing factor through setting a ripple benefit regulation and control mechanism according to the matching relation between the check cores and dynamic reference clouds and dynamic reference cloudridge lines on the check cores. Further, the process of installing the thermal sensor array and the laser imaging device on the production equipment and establishing the data perception network comprises the following steps: The production equipment comprises a converter, a crystallizer and a rolling mill, and a thermal sensor array and a laser imaging device are arranged on each production equipment; All the heat sensor arrays and