Disclosed is a method for identifying abnormal raw material width of a disc shear

Abstract

The present application provides a kind of disc shears raw material width abnormality identification method, comprising: according to maximum speed, the time required to reduce speed to target speed and acceleration are calculated, the installation position of width measuring instrument is determined in combination with actual situation on site;Width measuring instrument real-time on-line detects strip width data, and the strip width data detected by width measuring instrument is received by unit PLC, and is automatically compared with secondary steel roll nominal width data;If abnormal width data is obtained by comparison, then unit PLC calculates the width abnormality position of current strip, and executes speed reduction or stop command according to rule comparison in disc shears position.The technical scheme of the present application realizes the function of stable control of disc shears edge when raw material width is abnormal (narrow size or over wide), reduces the failure rate of disc shears edge operation, at the same time promotes the optimization work of pickling mill edge allowance, so that the equipment realizes the optimal production efficiency and yield with the optimal functional design and the most stable operation.

Description

Technical Field

[0001] This invention relates to the field of cold-rolled strip steel production and automated control equipment in the metallurgical industry, and more particularly to a method for identifying abnormal width of raw materials in a disc shear. Background Technology

[0002] The disc shear in a cold rolling and pickling mill is mainly used for continuously cutting the edges of strip steel to achieve a set width. It can also complete width changes in two seconds or less. During width changes, the cutting edge of the disc shear moves along a specific curve. Simultaneously, the disc shear frame rotates and moves around its own rotation center line. The shear blade is always perfectly perpendicular to the tangential direction of the cut, resulting in a curved cutting trajectory. This allows for quick and accurate width adjustment.

[0003] With increasing competition in the steel industry, in order to improve the yield of strip steel products, it is necessary to optimize the reserved value of hot-rolled coil rolling width, which leads to abnormalities in the width of raw materials in pickling and rolling mills (narrow or excessively wide). Therefore, when the disc shear cuts to an abnormal strip steel width, the disc shear is prone to edge blockage, flash, blade blockage, jamming, etc., which seriously affects the production rhythm and yield of the unit. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a method for identifying abnormal strip width in a rotary shear. This invention primarily utilizes a width measuring instrument to detect strip width data in real-time online. The unit's PLC acquires the real-time strip width data collected by the width measuring instrument and automatically compares it with the nominal width data of the secondary steel coil. It automatically calculates the location where the current strip width is abnormal (narrow or excessively wide) and, based on the comparison rules, executes a speed reduction or stop command at the rotary shear position. This achieves stable control of the rotary shear edge when the raw material width is abnormal (narrow or excessively wide), reducing the failure rate of the rotary shear edge operation. Simultaneously, it promotes the optimization of pickling and rolling edge trimming allowances, allowing the equipment to achieve optimal production efficiency and yield through optimal functional design and stable operation.

[0005] The technical means employed in this invention are as follows:

[0006] A method for identifying abnormal width of raw materials in a circular shear includes:

[0007] S1. Based on the maximum speed, calculate the time required to decelerate to the target speed and the acceleration, and determine the installation position of the width measuring instrument in combination with the actual site conditions;

[0008] S2. The width measuring instrument detects the strip width data in real time online. The unit PLC receives the strip width data detected by the width measuring instrument and automatically compares it with the nominal width data of the secondary steel coil.

[0009] S3. If the comparison yields abnormal width data, the unit PLC calculates the location where the current strip has an abnormal width and executes a speed reduction or stop command at the disc shear position according to the rules.

[0010] Further, step S1 specifically includes:

[0011] S11. Based on the drawings and data of the pickling and rolling mill, determine the maximum speed v in the disc shearing area. L ;

[0012] S12. Determine the target speed v for deceleration. T ;

[0013] S13. Determine the acceleration σ required to decelerate to the target speed;

[0014] S14. Calculate the required reduction length L. The calculation formula is as follows:

[0015]

[0016] S15. Based on the calculated required reduction length L and the actual site conditions, determine the installation location of the width measuring instrument system to be L meters away from the disc shear.

[0017] Further, step S2 specifically includes:

[0018] S21. Record the strip width data detected in real time by the width measuring instrument as W, and record the nominal width data of the secondary steel coil as W0;

[0019] S22. Determine W < W0 or W > W0 + 35 as an outlier in the strip width data. Define continuously measured width outlier data as W. n n = 1, 2, 3...;

[0020] S23. Define the starting point of the first segment width anomaly data as W. S1 The end point of the first segment of width outlier data is defined as W. E1 And define the length between the start and end points of the first segment of width anomaly data as L1;

[0021] S24. Define the starting point of the second segment width anomaly data as W. S2 The end point of the second segment of width outlier data is defined as W. E2 The length between the start and end points of the second segment of width anomaly data is defined as L2;

[0022] S25. Define the starting point of the nth segment width outlier data as W. Sn The end point of the nth segment of outlier data is defined as W. EnThe length between the start and end points of the nth segment of outlier data is defined as L. n ;

[0023] S26. When W0≤W≤W0+35, it means that this area is a normal area and the strip steel passes through the disc shear normally in the original way; when W<W0 or W>W0+35, it means that this area is a continuous narrow or extra-wide area.

[0024] Furthermore, when a continuous narrow or extra-wide area is identified in step S26, the strip steel passes through the continuous narrow or extra-wide area at a set slow speed threshold. When the strip steel passes through the area, the "WIDTHNOK" label flashes as an alarm on the primary monitoring screen. The flashing stops after the abnormally wide area passes through the disc shear, and the normal display is restored.

[0025] Furthermore, the set slow threshold is adjusted and optimized according to the actual situation.

[0026] Further, step S3 specifically includes:

[0027] S31. When determining abnormal width data points, remove the area before and after the weld;

[0028] S32. The unit PLC calculates the location where the current strip has an abnormal width, that is, it calculates the strip length between two adjacent abnormal width areas.

[0029] S33. If the strip length between two adjacent abnormal width areas is less than or equal to the set threshold, the unit PLC will issue a speed reduction command at the disc shear position, and the strip speed increase condition is limited to V≤60m / min.

[0030] S34. If the strip length between two adjacent abnormal width areas is greater than the set threshold, the unit PLC will issue a normal speed-up command at the disc shear position.

[0031] Furthermore, in step S31, the removed area is adjusted and optimized according to the dynamic specification requirements and actual conditions.

[0032] Furthermore, in step S32, the strip length between two adjacent width anomaly regions is calculated as the end point W of the previous width anomaly point data. En The starting point W of the next width outlier data Sn+1 The distance between them.

[0033] Furthermore, the thresholds set in steps S33 and S34 are adjusted and optimized based on the distance between the width measuring instrument and the disc shear after displacement, combined with the lifting rate.

[0034] Compared with the prior art, the present invention has the following advantages:

[0035] The present invention provides a method for identifying abnormal raw material width in a disc shear, which can reduce the failure rate of disc shear operation and promote the optimization of pickling and rolling edge trimming allowance, so that the equipment can achieve optimal production efficiency and yield with optimal functional design and most stable operation.

[0036] Based on the above reasons, this invention can be widely promoted in the fields of cold-rolled strip steel production and automated control equipment in the metallurgical industry. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0038] Figure 1 This is a flowchart of the method of the present invention.

[0039] Figure 2 This is a diagram showing the installation positions of the width measuring instrument and the disc shearing equipment provided in an embodiment of the present invention.

[0040] Figure 3 An abnormal steel coil speed control diagram provided for an embodiment of the present invention. Detailed Implementation

[0041] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0042] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0043] like Figure 1 As shown, the present invention provides a method for identifying abnormal width of raw materials in a disc shear, comprising:

[0044] S1. Based on the maximum speed, calculate the time required to decelerate to the target speed and the acceleration, and determine the installation position of the width measuring instrument in combination with the actual site conditions;

[0045] S2. The width measuring instrument detects the strip width data in real time online. The unit PLC receives the strip width data detected by the width measuring instrument and automatically compares it with the nominal width data of the secondary steel coil.

[0046] S3. If the comparison yields abnormal width data, the unit PLC calculates the location where the current strip has an abnormal width (narrow or excessive width) and executes a speed reduction or stop command at the disc shear position according to the rules.

[0047] In a specific implementation, as a preferred embodiment of the present invention, step S1 specifically includes:

[0048] S11. Based on the drawings and data of the pickling and rolling mill, determine the maximum speed v in the disc shearing area. L In this embodiment, v L =400mpm;

[0049] S12. Determine the target speed v for deceleration. T In this embodiment, v T =30mpm;

[0050] S13. Determine the acceleration σ required to decelerate to the target speed. In this embodiment, σ = 60 mpm / sec;

[0051] S14. Calculate the required reduction length L. The calculation formula is as follows:

[0052]

[0053] S15. Based on the calculated required speed reduction length L, and considering the actual site conditions, determine the installation location of the width measuring instrument system to be L meters away from the disc shear. In this embodiment, as... Figure 2 As shown, and considering the need for convenient maintenance and upkeep of the width measuring instrument system in the future, the installation location of the width measuring instrument system should be at least 22 meters away from the disc shear. This ensures sufficient time to reduce speed or stop the machine at the disc shear location if the width measuring instrument detects abnormally wide strip. Furthermore, the absence of pressure rollers at the width measuring instrument system installation location will cause strip vibration during unit operation, leading to inaccurate width measuring instrument data. Therefore, two sets of three-roll devices need to be added before and after the width measuring instrument to ensure stable and vibration-free strip operation in the width measuring instrument area during operation.

[0054] In a specific implementation, as a preferred embodiment of the present invention, step S2 specifically includes:

[0055] S21. Record the strip width data detected in real time by the width measuring instrument as W, and record the nominal width data of the secondary steel coil as W0;

[0056] S22. Determine W < W0 or W > W0 + 35 as an outlier in the strip width data. Define continuously measured width outlier data as W. n n = 1, 2, 3...;

[0057] S23. Define the starting point of the first segment width anomaly data as W. S1 The end point of the first segment of width outlier data is defined as W. E1 And define the length between the start and end points of the first segment of width anomaly data as L1;

[0058] S24. Define the starting point of the second segment width anomaly data as W. S2 The end point of the second segment of width outlier data is defined as W. E2 The length between the start and end points of the second segment of width anomaly data is defined as L2;

[0059] S25. Define the starting point of the nth segment width outlier data as W. Sn The end point of the nth segment of outlier data is defined as W. En The length between the start and end points of the nth segment of outlier data is defined as L. n ;

[0060] S26. When W0 ≤ W ≤ W0 + 35, this area is considered normal, and the strip passes through the disc shear as usual. When W < W0 or W > W0 + 35, this area is considered a continuous narrow or extra-wide section. The strip passes through this section at a set slow speed threshold. When the strip passes through this section, the "WIDTH NOK" label flashes as an alarm on the primary monitoring screen. The flashing stops after the abnormally wide section passes through the disc shear, and the normal display returns to normal. During this period, the operator is required to constantly monitor the smoothness of the disc shearing process and stop the machine immediately if any abnormality occurs.

[0061] In a specific implementation, as a preferred embodiment of the present invention, the set slow speed threshold is adjusted and optimized according to the actual situation. In this embodiment, the set slow speed threshold V = 30 m / min.

[0062] In a specific implementation, as a preferred embodiment of the present invention, step S3 specifically includes:

[0063] S31. When determining abnormal width data points, remove the area before and after the weld;

[0064] S32. The unit PLC calculates the location where the current strip has an abnormal width, that is, it calculates the strip length between two adjacent abnormal width areas.

[0065] S33. If the strip length between two adjacent abnormal width areas is less than or equal to the set threshold, the unit PLC will issue a speed reduction command at the disc shear position. The strip speed increase condition is limited to V≤60m / min (this speed can be adjusted and optimized).

[0066] S34. If the strip length between two adjacent abnormal width areas is greater than the set threshold, the unit PLC will issue a normal speed-up command at the disc shear position.

[0067] In a specific implementation, as a preferred embodiment of the present invention, in step S31, the area to be removed is adjusted and optimized according to the dynamic specification requirements and actual conditions. In this embodiment, when determining abnormal width data points, areas of 3 meters before and after the weld are removed;

[0068] In a specific implementation, as a preferred embodiment of the present invention, in step S32, the strip length between two adjacent width anomaly regions is calculated as the end point W of the previous width anomaly point data. En The starting point W of the next width outlier data Sn+1 The distance between them.

[0069] In specific implementation, as a preferred embodiment of the present invention, the thresholds set in steps S33 and S34 are adjusted and optimized based on the distance between the width measuring instrument and the disc shear after displacement, combined with the lifting rate. In this embodiment, the set threshold is 20 meters, that is: if the strip length between two adjacent abnormal width areas is ≤20 meters, the unit PLC issues a speed reduction command at the disc shear position, and the strip speed increase condition is limited to V≤60m / min; if the strip length between two adjacent abnormal width areas is >20 meters, the unit PLC issues a normal speed increase command at the disc shear position. Figure 3 The figure shown is a speed control diagram for abnormal steel coils.

[0070] The device embodiments described above are merely illustrative. For example, the division of the units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between units or modules, and may be electrical or other forms.

[0071] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0072] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0073] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for identifying abnormal width of raw materials in a disc shear, characterized in that, include: S1. Based on the maximum speed, calculate the time required to decelerate to the target speed and the acceleration, and determine the installation position of the width measuring instrument in combination with the actual site conditions; S2. The width measuring instrument detects the strip width data in real time online. The unit PLC receives the strip width data detected by the width measuring instrument and automatically compares it with the nominal width data of the secondary steel coil. S3. If the comparison yields abnormal width data, the unit PLC calculates the location where the strip width is abnormal and executes a speed reduction or stop command at the disc shear position according to the rules. Specifically, this includes: S31. When determining abnormal width data points, remove the area before and after the weld; S32. The unit PLC calculates the location where the current strip has an abnormal width, that is, it calculates the strip length between two adjacent abnormal width areas. S33, If the strip length between two adjacent sections with abnormal width is... If the set threshold is met, the unit's PLC will issue a deceleration command at the disc shear position, thus limiting the strip speed increase conditions. ; S34. If the strip length between two adjacent sections with abnormal width is... Once the set threshold is reached, the unit's PLC will issue a command to execute normal speed-up at the disc shear position.

2. The method for identifying abnormal width of raw materials in a disc shear according to claim 1, characterized in that, Step S1 specifically includes: S11. Determine the maximum speed in the disc shearing zone based on the pickling and rolling mill drawings. ; S12. Determine the target speed for deceleration. ; S13. Determine the acceleration required to decelerate to the target speed. ; S14. Calculate the required reduction length. The calculation formula is as follows: S15. The length of the required speed reduction based on calculations. Based on the actual site conditions, the installation location of the width measuring instrument system was determined to be at a distance from the circular shear. Before rice.

3. The method for identifying abnormal width of raw materials in a disc shear according to claim 1, characterized in that, Step S2 specifically includes: S21. Record the strip width data detected in real time by the width measuring instrument as... The nominal width data of the secondary steel coil is recorded as ; S22, will or This was identified as an anomaly in the strip width data, and the continuously measured anomaly in the width data was defined as... , ; S23. Define the starting point of the first segment width anomaly data as... Define the end point of the first segment of width outlier data as The length between the start and end points of the first segment of width outlier data is defined as... ; S24. Define the starting point of the second segment width outlier data as... Define the end point of the second segment of width outlier data as The length between the start and end points of the second segment of width outlier data is defined as... ; S25, the first The starting point of the segment width outlier data is defined as follows: , will the The end point of the segment width outlier data is defined as follows: and will the The length between the start and end points of the segment width outlier data is defined as follows: ; S26, when When the signal is true, it indicates that this area is a normal area, and the strip steel passes through the disc shear normally in the original manner; when... or When the value is 0, it indicates that this area is a continuous narrow or extra-wide region.

4. The method for identifying abnormal width of raw materials in a disc shear according to claim 3, characterized in that, When a continuous narrow or extra-wide area is identified in step S26, the strip steel passes through the continuous narrow or extra-wide area at a set slow speed threshold. When the strip steel passes through the area, the "WIDTH NOK" label flashes as an alarm on the primary monitoring screen. The flashing stops after the abnormally wide area passes through the disc shear and the normal display is restored.

5. The method for identifying abnormal width of raw materials in a disc shear according to claim 4, characterized in that, The set slow threshold is adjusted and optimized according to the actual situation.

6. The method for identifying abnormal width of raw materials in a disc shear according to claim 1, characterized in that, In step S31, the removed area is adjusted and optimized according to the dynamic specification requirements and actual conditions.

7. The method for identifying abnormal width of raw materials in a disc shear according to claim 1, characterized in that, In step S32, the length of the strip between two adjacent width anomaly regions is calculated as the end point of the previous width anomaly point data. Starting point of the next width outlier data The distance between them.

8. The method for identifying abnormal width of raw materials in a disc shear according to claim 1, characterized in that, The thresholds set in steps S33 and S34 are adjusted and optimized based on the distance between the width measuring instrument and the disc shear after displacement, combined with the lifting rate.

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