Industrial production equipment control system

Abstract

The invention discloses an industrial production equipment control system, which comprises a data collection module, an equipment monitoring module and an equipment control module, and is characterized in that the data collection module is used for collecting visual images of strip steel in a rolling process, state data of equipment and comprehensive information of steel billets; the equipment monitoring module is used for detecting whether an oxide layer and sundries exist on the surface of a steel billet or not and detecting the thickness of machined strip steel and the curling state of a steel coil in real time, and the equipment control module is used for adjusting equipment according to the steel billet and problems occurring in the machining process. The data collection module, the equipment monitoring module and the equipment control module are electrically connected with one another, the data collection module comprises a visual module, a sensor module and a steel billet information input module, and the visual module is used for collecting visual images of the surface of a steel billet in the steel billet machining process. The method has the characteristics of improving the accuracy, the product quality and the percent of pass.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment control, in particular to an industrial production equipment control system. Background Art

[0002] Hot rolled strip refers to a plate produced by hot rolling. The billet is processed into a steel coil of specific thickness and width according to user needs. However, due to the temperature difference between the edge and the middle of the billet during the processing, the billet is deformed during the hot rolling process, resulting in edge warping, which affects the use of the strip. In addition, due to the different temperatures and types of the processed billets, different types of billets have uneven thicknesses during the process of being processed into strips, resulting in a large difference between the actual thickness of the hot rolled strip and the target thickness. In addition, due to the different degrees of oxidation on the billet surface, the thickness of the oxide layer is different, and the material and thickness of the billet are different, resulting in the inability of the existing technology to accurately control the heating temperature and the extrusion pressure of the vertical roll, and the inability to remove the oxide layer completely. Due to cracks in the rolls or adhesion of foreign matter, the surface of the produced strip has concave and convex defects. Therefore, it is very necessary to design an industrial production equipment control system that improves accuracy and improves product quality and pass rate. Summary of the invention

[0003] The object of the present invention is to provide an industrial production equipment control system to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: an industrial production equipment control system, comprising a data collection module, an equipment monitoring module and an equipment control module, characterized in that: the data collection module is used to collect visual images of the strip steel during rolling, equipment status data and comprehensive information of the steel billet, the equipment monitoring module is used to detect whether there is an oxide layer and debris on the surface of the steel billet, and to detect the thickness of the processed strip steel and the curling state of the steel coil in real time, the equipment control module is used to adjust the equipment according to the steel billet and problems encountered during processing, and the data collection module, the equipment monitoring module and the equipment control module are electrically connected to each other;

[0005] The strip steel detection module includes a surface detection submodule, a thickness detection submodule and a steel coil detection submodule. The surface detection submodule is used to detect the thickness of the oxide layer on the surface of the processed strip steel and whether there is damage or interlayer. The thickness detection submodule is used to detect whether the thickness of the processed strip steel meets the set requirements and whether the thickness of the strip steel is uniform. The steel coil detection submodule is used to detect whether the steel coils are neatly stacked.

[0006] The equipment detection module includes a roller detection submodule and a dephosphorization detection submodule. The roller detection submodule is used to detect whether cracks appear on the rollers of the hot rolling mill or whether impurities are adhered. The dephosphorization detection submodule is used to detect the nozzle angle and water pressure of the dephosphorization water gun in the hot rolling mill.

[0007] According to the above technical solution, the data collection module includes a visual module, a sensor module and a billet information entry module. The visual module is used to collect visual images of the billet surface during the billet processing process, the sensor module is used to collect comprehensive data of the equipment during the processing process and information of the billet, and the billet information entry module is used to enter the comprehensive data of the processed billet into the system.

[0008] According to the above technical solution, the equipment monitoring module includes a strip steel detection module and an equipment detection module. The strip steel detection module is used to detect whether there is damage on the surface of the current steel billet, whether there are bubbles inside, and whether the thickness of the rolled strip steel is uniform. The equipment detection module is used to detect whether there is a fault in the equipment's rolling roller and whether the operating speed of the equipment production line matches.

[0009] According to the above technical solution, the equipment control module includes a vertical roller adjustment module, and the vertical roller adjustment module is used to adjust the vertical roller according to the type and size of the processed steel billet.

[0010] According to the above technical solution, the equipment control module also includes a correction module, which is used to correct the strip according to the warping and uneven thickness of the steel billet marked by the system.

[0011] According to the above technical solution, the operation method of the equipment control system includes the following steps:

[0012] Step S1: Using the visual module, take visual images of the steel billet to be processed and the steel billet during processing, record and save them in the system, collect the status data of the equipment in the operation process in real time through the sensor module, and enter the comprehensive data of the steel billet into the system through the steel billet information entry module;

[0013] Step S2: When the strip rolling starts, the system sends an electrical signal to trigger the surface detection submodule to start, and starts to analyze the thickness of the oxide layer on the surface of the billet and the influence of the billet thickness on the heating temperature and the vertical roll pressure, and processes the billet according to the analysis results;

[0014] Step S3: During the rolling process, the system starts the surface detection submodule and the thickness detection submodule, starts to analyze whether the surface of the processed strip is flat, whether the thickness of the processed strip is uniform, and adjusts the equipment according to the analysis results;

[0015] Step S4: Monitor and analyze the running speed of the equipment in the production chain in real time, and adjust the running speed of the equipment according to the analysis results. When the strip is rolled into a coil, the correction module is started, and adjustments are made according to the offset of the coil. The guide plate position is adjusted to align the edges of the coil to complete the strip rolling.

[0016] According to the above technical solution, step S2 further includes the following steps:

[0017] Step S21: retrieve the material and thickness of the current steel billet to be processed, retrieve the historical heating temperature and the corresponding steel billet thickness in the database according to the material of the current steel billet, and give the influence coefficient α of the steel billet thickness on the heating temperature according to the relationship between the historical heating temperature and the steel billet thickness;

[0018] Step S22: retrieve the ultrasonic detection data, read the ultrasonic dot matrix data, build a three-dimensional model of the steel billet according to the ultrasonic dot matrix data, build a coordinate system, scan and identify the inflection point of the data change in the ultrasonic dot matrix data, mark the corresponding coordinates in the three-dimensional model of the steel billet according to the inflection point of the data change, and calculate the oxide layer thickness of the current steel billet according to the inflection point of the data change. Where, i = 1, 2, 3 ..... n, H represents the average thickness of the oxide layer of the current steel billet, j represents the error hardness coefficient of the average thickness of the oxide layer of the current steel billet, (X 1 , Y 1 ), (X 2 , Y 2 ) represent the coordinates of the upper vertex and the lower vertex of the oxide layer of the steel billet in the vertical direction, and the heating temperature required for the current steel billet is calculated according to the formula In the formula, Q represents the heating temperature required for the current steel billet, q represents the minimum heating temperature of the current steel billet, H represents the average thickness of the oxide layer of the current steel billet, and β represents the influence coefficient of the current oxide layer thickness on the heating temperature of the steel billet;

[0019] Step S23: When processing the oxide layer of the steel billet, the roll pressure coefficient κ required for the steel billet of unit thickness h in the database is retrieved according to the material of the steel billet, and the pressure value between the vertical roller dephosphorization device is calculated according to the formula F represents the pressure value between the vertical roller dephosphorization device, H g It indicates the thickness of the steel billet, p indicates the attenuation coefficient of the oxidation layer on the surface of the steel billet to the pressure, and the vertical roller dephosphorization device is started to extrude and dephosphorize the steel billet.

[0020] According to the above technical solution, when cleaning the oxide layer and impurities on the surface of the steel billet in step S23, the visual image of the surface of the steel billet is retrieved, the image is divided into n×m pixel blocks of equal size according to the size set by the system, the color value of each pixel in each pixel block is scanned and identified, and the average color value of the pixel points in the current pixel block is calculated according to the formula Calculate the variance of the color value in the current pixel block according to the formula Where i = 1, 2, 3...n, M represents the variance of the color value in the current pixel block, and m represents the color value of the pixel point. It represents the average color value of the pixel points in the current pixel block, m represents the error coefficient of the variance, if the average color value in the pixel block is less than the threshold set by the system, the position of the current pixel block in the image is marked, otherwise the system continues to detect, if the variance of the color value in the color block is greater than the threshold, the position of the current pixel block in the image is marked, otherwise the system continues to detect, and adjusts the position of the dephosphorization water gun nozzle to anchor the oxide layer and impurities on the billet according to the position of the pixel block in the image, and removes the oxide layer and impurities on the billet surface according to the set water pressure.

[0021] According to the above technical solution, step S3 further includes the following steps:

[0022] Step S31: Retrieve infrared thermal imaging data, scan the infrared thermal imaging data to identify the temperature of each pixel in the image, calculate the temperature difference between adjacent pixels, merge the pixels whose adjacent temperature difference is less than the threshold, and if the temperature difference between the merged adjacent areas is greater than the system set threshold, the current strip is reheated, otherwise the system continues to process the strip;

[0023] Step S32: retrieve the ultrasonic detection data of the strip, identify the three-dimensional dot matrix data of the current strip, build a strip model according to the three-dimensional dot matrix data, measure the thickness of the strip cross section in the strip model, sort the strip cross section thickness in ascending order, calculate the thickness difference of the strip cross section, if the thickness difference is greater than the first threshold value, mark the current strip as uncorrectable, if the thickness difference is less than the first threshold value and greater than the second threshold value, mark the current strip as correctable, otherwise mark the current strip as qualified, retrieve the minimum thickness of the correctable strip, compare the strip thickness set in the system, if the current minimum thickness of the correctable strip is less than the strip thickness set by the system, mark the current strip as defective, otherwise set the gap between the rollers according to the current minimum thickness of the strip, retrieve the actual thickness, material and temperature of the strip, retrieve the rebound coefficient η of the strip according to the current strip material, and compare the cooling shrinkage data of the historical strip in the temperature control database to give the influence coefficient μ of the temperature on the strip thickness, and calculate the actual rolling thickness of the current strip by the formula In the formula, H 实 Indicates the actual thickness of the strip that needs to be rolled, h 设 Indicates the set rolling thickness of the strip.

[0024] According to the above technical solution, in step S4, the speed of each device in processing the strip is retrieved, and the processing speeds between adjacent devices are compared. If the processing speed difference is greater than a threshold value, the operating speed of the faster device is reduced, otherwise the system continues to process the steel billet, retrieves laser detection data, scans and identifies the edge feature nodes of the strip, connects the edge feature nodes, constructs a contour model of the strip, establishes a coordinate system, measures the length of the strip edge, and calculates the distance between the two end points on one side of the strip by the distance formula between the two points, that is, the theoretical length of the edge of one side of the strip. If the difference between the strip edge length measured by the laser detector and the theoretical length is less than a threshold value, the current strip is marked as a rollable strip, otherwise it is marked as an unrollable strip. When the equipment is coiling, if the laser detection device detects that the strip is offset, the guide plate is started to move in the opposite direction of the strip offset to correct the coiling of the strip, otherwise the system continues to coil.

[0025] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention constructs a billet model through ultrasonic detection, accurately calculates the thickness of the oxide layer of the billet, analyzes the influence of the oxide layer thickness of the billet and the thickness of the billet on the heating temperature of the billet, can accurately calculate the heating temperature required for the billet, make the billet reach the optimal processing temperature, can make the surface impurities easier to handle, reduce impurity residues, reduce the generation of defective products, improve the qualified rate and quality of products, by analyzing the influence of the billet thickness on the pressure of the vertical roller dephosphorization device, can accurately calculate the pressure applied by the vertical roller, so that the oxide layer on the surface of the billet can be fully lifted, avoid oxidation and adhesion of the billet, resulting in residual oxide layer, resulting in depression and interlayer on the surface of the strip, greatly improving the quality of the product, by calculating the average value and variance of the color value of the pixel point in the pixel block, it can accurately determine whether the current pixel block is Whether it is cleaned thoroughly, avoiding pressing the residual oxide layer or impurities on the surface of the steel billet into the plate during the rolling process, further reducing the residue on the surface of the steel billet, reducing the occurrence of defective products, and greatly improving the quality and qualified rate of the strip. By detecting whether the temperature difference between adjacent areas of the strip exceeds the threshold, it can avoid deformation due to excessive temperature difference during the rolling process, resulting in the need for correction of the strip, further reducing the processing steps of the strip and saving reprocessing costs. By analyzing the resilience and cooling shrinkage of the strip material, the actual thickness of the strip that needs to be rolled can be accurately calculated, reducing the difference between the actual thickness of the rolled strip and the target thickness, further improving the accuracy of the system, and by comparing the edge length of the strip with the theoretical length, it can promptly detect whether the strip is warped, avoiding the deviation of the strip during the coiling process, and further improving the quality and qualified rate of the product. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0027] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] See also Figure 1 The present invention provides a technical solution: an industrial production equipment control system, comprising a data collection module, an equipment monitoring module and an equipment control module, characterized in that: the data collection module is used to collect visual images of the strip steel during rolling, equipment status data and comprehensive information of the steel billet, the equipment monitoring module is used to detect whether there is an oxide layer and debris on the surface of the steel billet, and to detect the thickness of the processed strip steel and the curling state of the steel coil in real time, the equipment control module is used to adjust the equipment according to the problems occurring during the steel billet and processing, and the data collection module, the equipment monitoring module and the equipment control module are electrically connected to each other;

[0030] The strip steel detection module includes a surface detection submodule, a thickness detection submodule and a steel coil detection submodule. The surface detection submodule is used to detect the thickness of the oxide layer on the surface of the processed strip steel and whether there is damage or interlayer. The thickness detection submodule is used to detect whether the thickness of the processed strip steel meets the set requirements and whether the thickness of the strip steel is uniform. The steel coil detection submodule is used to detect whether the steel coils are neatly stacked.

[0031] The equipment detection module includes a roll detection submodule and a dephosphorization detection submodule. The roll detection submodule is used to detect whether there are cracks or impurities on the rolls of the hot rolling mill. The dephosphorization detection submodule is used to detect the nozzle angle and water pressure of the dephosphorization water gun in the hot rolling mill.

[0032] The data collection module includes a vision module, a sensor module and a billet information entry module. The vision module is used to collect visual images of the billet surface during the billet processing process. The sensor module is used to collect comprehensive data of the equipment during the processing process and information of the billet. The billet information entry module is used to enter the comprehensive data of the processed billet into the system.

[0033] The equipment monitoring module includes a strip steel detection module and an equipment detection module. The strip steel detection module is used to detect whether there is damage on the surface of the current steel billet, whether there are bubbles inside, and whether the thickness of the rolled strip is uniform. The equipment detection module is used to detect whether there is a fault in the equipment's rolling roller and whether the operating speed of the equipment production line matches.

[0034] The equipment control module includes a vertical roller adjustment module, which is used to adjust the vertical roller according to the type and size of the processed steel billet.

[0035] The equipment control module also includes a correction module, which is used to correct the strip according to the warping and uneven thickness of the steel billet marked by the system.

[0036] The operation method of the equipment control system comprises the following steps:

[0037] Step S1: Using the visual module, take visual images of the steel billet to be processed and the steel billet during processing, record and save them in the system, collect the status data of the equipment in the operation process in real time through the sensor module, and enter the comprehensive data of the steel billet into the system through the steel billet information entry module;

[0038] Step S2: When the strip rolling starts, the system sends an electrical signal to trigger the surface detection submodule to start, and starts to analyze the thickness of the oxide layer on the surface of the billet and the influence of the billet thickness on the heating temperature and the vertical roll pressure, and processes the billet according to the analysis results;

[0039] Step S3: During the rolling process, the system starts the surface detection submodule and the thickness detection submodule, starts to analyze whether the surface of the processed strip is flat, whether the thickness of the processed strip is uniform, and adjusts the equipment according to the analysis results;

[0040] Step S4: Monitor and analyze the running speed of the equipment in the production chain in real time, and adjust the running speed of the equipment according to the analysis results. When the strip is rolled into a coil, the correction module is started, and adjustments are made according to the offset of the coil. The guide plate position is adjusted to align the edges of the coil to complete the strip rolling.

[0041] Step S2 further comprises the following steps:

[0042] Step S21: retrieve the material and thickness of the current steel billet to be processed, retrieve the historical heating temperature and the corresponding steel billet thickness in the database according to the material of the current steel billet, and give the influence coefficient α of the steel billet thickness on the heating temperature according to the relationship between the historical heating temperature and the steel billet thickness;

[0043] Step S22: retrieve the ultrasonic detection data, read the ultrasonic dot matrix data, build a three-dimensional model of the steel billet according to the ultrasonic dot matrix data, build a coordinate system, scan and identify the inflection point of the data change in the ultrasonic dot matrix data, mark the corresponding coordinates in the three-dimensional model of the steel billet according to the inflection point of the data change, and calculate the oxide layer thickness of the current steel billet according to the inflection point of the data change. Where, i = 1, 2, 3 ..... n, H represents the average thickness of the oxide layer of the current steel billet, j represents the error hardness coefficient of the average thickness of the oxide layer of the current steel billet, (X 1 , Y1 ), (X 2 , Y 2 ) represent the coordinates of the upper vertex and the lower vertex of the oxide layer of the steel billet in the vertical direction, and the heating temperature required for the current steel billet is calculated according to the formula In the formula, Q represents the heating temperature required for the current steel billet, q represents the lowest heating temperature for the current material steel billet, H represents the average thickness of the oxide layer of the current steel billet, and β represents the influence coefficient of the current oxide layer thickness on the heating temperature of the steel billet. The steel billet model is constructed by ultrasonic detection, the oxide layer thickness of the steel billet is accurately calculated, and the influence of the oxide layer thickness of the steel billet and the thickness of the steel billet on the heating temperature of the steel billet is analyzed. The heating temperature required for the steel billet can be accurately calculated, so that the steel billet reaches the optimal processing temperature, which can make the surface impurities easier to handle, reduce impurity residues, reduce the generation of defective products, and improve the qualified rate and quality of products;

[0044] Step S23: When processing the oxide layer of the steel billet, the roll pressure coefficient κ required for the steel billet of unit thickness h in the database is retrieved according to the material of the steel billet, and the pressure value between the vertical roller dephosphorization device is calculated according to the formula F represents the pressure value between the vertical roller dephosphorization device, H g It represents the thickness of the steel billet, p represents the attenuation coefficient of the oxide layer on the surface of the steel billet to the pressure, and the vertical roller dephosphorization device is started to extrude and dephosphorize the steel billet. By analyzing the influence of the steel billet thickness on the pressure of the vertical roller dephosphorization device, the pressure applied by the vertical roller can be accurately calculated, so that the oxide layer on the surface of the steel billet can be fully lifted, avoiding oxidation and adhesion of the steel billet, resulting in residual oxide layer, and causing depressions and interlayers on the surface of the strip, which greatly improves the quality of the product.

[0045] In step S23, when cleaning the oxide layer and impurities on the surface of the steel billet, a visual image of the surface of the steel billet is retrieved, and the image is divided into n×m pixel blocks of equal size according to the size set by the system, and the color value of each pixel in each pixel block is scanned and identified, and the average color value of the pixel points in the current pixel block is calculated according to the formula Calculate the variance of the color value in the current pixel block according to the formula Where i = 1, 2, 3...n, M represents the variance of the color value in the current pixel block, and m represents the color value of the pixel point. It represents the average color value of the pixel points in the current pixel block, and m represents the error coefficient of the variance. If the average color value in the pixel block is less than the threshold value set by the system, the position of the current pixel block in the image is marked, otherwise the system continues to detect. If the variance of the color value in the color block is greater than the threshold value, the position of the current pixel block in the image is marked, otherwise the system continues to detect. According to the position of the pixel block in the image, the position of the dephosphorization water gun nozzle anchoring the oxide layer and impurities on the billet is adjusted, and the oxide layer and impurities on the surface of the billet are removed according to the set water pressure. By calculating the average and variance of the color values ​​of the pixel points in the pixel block, it can be accurately determined whether the current pixel block is cleaned, so as to avoid pressing the residual oxide layer or impurities on the surface of the billet into the plate during the rolling process, further reducing the residue on the surface of the billet, reducing the appearance of defective products, and greatly improving the quality and qualified rate of the strip.

[0046] Step S3 further comprises the following steps:

[0047] Step S31: Retrieve infrared thermal imaging data, scan the infrared thermal imaging data to identify the temperature of each pixel in the image, calculate the temperature difference between adjacent pixel points, merge the pixels whose adjacent temperature difference is less than the threshold value, and if the temperature difference between the merged adjacent areas is greater than the threshold value set by the system, the current strip is reheated, otherwise the system continues to process the strip. By detecting whether the temperature difference between adjacent areas of the strip exceeds the threshold value, deformation due to excessive temperature difference during the rolling process can be avoided, resulting in the need for correction of the strip, further reducing the processing steps of the strip and saving reprocessing costs;

[0048] Step S32: retrieve the ultrasonic detection data of the strip, identify the three-dimensional dot matrix data of the current strip, build a strip model according to the three-dimensional dot matrix data, measure the thickness of the strip cross section in the strip model, sort the strip cross section thickness in ascending order, calculate the thickness difference of the strip cross section, if the thickness difference is greater than the first threshold value, mark the current strip as uncorrectable, if the thickness difference is less than the first threshold value and greater than the second threshold value, mark the current strip as correctable, otherwise mark the current strip as qualified, retrieve the minimum thickness of the correctable strip, compare the strip thickness set in the system, if the current minimum thickness of the correctable strip is less than the strip thickness set by the system, mark the current strip as defective, otherwise set the gap between the rollers according to the current minimum thickness of the strip, retrieve the actual thickness, material and temperature of the strip, retrieve the rebound coefficient η of the strip according to the current strip material, and compare the cooling shrinkage data of the historical strip in the temperature control database to give the influence coefficient μ of the temperature on the strip thickness, and calculate the actual rolling thickness of the current strip by the formula In the formula, H 实 Indicates the actual thickness of the strip that needs to be rolled, h 设It indicates the set rolling thickness of the strip. By analyzing the resilience and cooling shrinkage of the strip material, the actual thickness of the strip that needs to be rolled can be accurately calculated, reducing the difference between the actual thickness of the rolled strip and the target thickness, further improving the accuracy of the system.

[0049] In step S4, the speed of each device in processing the strip is retrieved, and the processing speeds between adjacent devices are compared. If the processing speed difference is greater than a threshold value, the operating speed of the faster device is reduced, otherwise the system continues to process the billet, retrieves laser detection data, scans and identifies the edge feature nodes of the strip, connects the edge feature nodes, constructs a contour model of the strip, establishes a coordinate system, measures the length of the strip edge, and calculates the distance between the two end points on one side of the strip by the distance formula between two points, that is, the theoretical length of the edge of one side of the strip. If the difference between the strip edge length measured by the laser detector and the theoretical length is less than a threshold value, the current strip is marked as a rollable strip, otherwise it is marked as an unrollable strip. When the equipment is coiling, if the laser detection device detects that the strip is offset, the guide plate is started to move in the opposite direction of the strip offset to correct the strip coiling, otherwise the system continues to coil. By comparing the edge length of the strip with the theoretical length, it is possible to promptly detect whether the strip is bent, thereby avoiding the strip from offsetting the coil during the coiling process, thereby further improving the quality and pass rate of the product.

[0050] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0051] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An industrial production equipment control system, comprising a data collection module, an equipment monitoring module and an equipment control module, characterized in that: The data collection module is used to collect visual images of the steel strip during rolling, equipment status data and comprehensive information of the steel billet; the equipment monitoring module is used to detect whether there is an oxide layer and debris on the surface of the steel billet, and to detect the thickness of the processed steel strip and the curling state of the steel coil in real time; the equipment control module is used to adjust the equipment according to the problems encountered in the steel billet and processing; the data collection module, the equipment monitoring module and the equipment control module are electrically connected to each other; The equipment monitoring module includes a strip steel detection module and an equipment detection module. The strip steel detection module is used to detect whether the surface of the current steel billet is damaged, whether bubbles appear inside, and whether the thickness of the rolled strip steel is uniform. The equipment detection module is used to detect whether the equipment's roll fails and whether the running speed of the equipment production line matches. The strip steel detection module includes a surface detection submodule, a thickness detection submodule and a steel coil detection submodule. The surface detection submodule is used to detect the thickness of the oxide layer on the surface of the processed strip steel and whether there is damage or interlayer. The thickness detection submodule is used to detect whether the thickness of the processed strip steel meets the set requirements and whether the thickness of the strip steel is uniform. The steel coil detection submodule is used to detect whether the steel coils are neatly stacked. The equipment detection module includes a roll detection submodule and a dephosphorization detection submodule, wherein the roll detection submodule is used to detect whether cracks or impurities are present on the rolls of the hot rolling mill, and the dephosphorization detection submodule is used to detect the nozzle angle and water pressure of the dephosphorization water gun in the hot rolling mill; The data collection module includes a visual module, a sensor module and a billet information entry module. The visual module is used to collect visual images of the billet surface during billet processing. The sensor module is used to collect comprehensive data of the equipment during processing and information of the billet. The billet information entry module is used to enter the comprehensive data of the processed billet into the system. The equipment control module also includes a correction module, which is used to correct the strip steel according to the warping and uneven thickness of the steel billet marked by the system; The operating method of the equipment control system comprises the following steps: Step S1: Using the visual module, take visual images of the steel billet to be processed and the steel billet during processing, record and save them in the system, collect the status data of the equipment in the operation process in real time through the sensor module, and enter the comprehensive data of the steel billet into the system through the steel billet information entry module; Step S2: When the strip steel starts to be rolled, the system sends an electrical signal to trigger the surface detection submodule to start, and starts to analyze the thickness of the oxide layer on the surface of the billet and the influence of the billet thickness on the heating temperature and the vertical roll pressure, and processes the billet according to the analysis results; Step S3: During the rolling process, the system starts the surface detection submodule and the thickness detection submodule, starts to analyze whether the surface of the processed strip is flat, whether the thickness of the processed strip is uniform, and adjusts the equipment according to the analysis results; Step S4: Monitor and analyze the running speed of the equipment in the production chain in real time, and adjust the running speed of the equipment according to the analysis results. When the strip is rolled into a coil, the correction module is started, and adjustments are made according to the offset of the coil. The guide plate position is adjusted to align the edges of the coil to complete the strip rolling.

2. An industrial production equipment control system according to claim 1, characterized in that: In the step S4, the strip processing speed of each device is retrieved, and the processing speeds between adjacent devices are compared. If the processing speed difference is greater than a threshold value, the operating speed of the faster device is reduced, otherwise the system continues to process the steel billet, retrieves laser detection data, scans and identifies edge feature nodes of the strip, connects the edge feature nodes, constructs a contour model of the strip, establishes a coordinate system, measures the length of the strip edge, and calculates the distance between the two end points on one side of the strip by a two-point distance formula, that is, the theoretical length of the edge of one side of the strip. If the difference between the strip edge length measured by the laser detector and the theoretical length is less than a threshold value, the current strip is marked as a rollable strip, otherwise it is marked as an unrollable strip. When the equipment is coiling, if the laser detection device detects that the strip is offset, the guide plate is started to move in the opposite direction of the strip offset to correct the strip coiling, otherwise the system continues to coil.

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