Silicon steel cross-process automatic precision slitting defect production method

Abstract

The application discloses a production method for automatically and accurately slitting defects of silicon steel across processes, and comprises the following steps: S1, defect position correction of a surface detection system; S2, length data alignment of a cross-process unit; and S3, automatic execution of a shearing strategy. The application solves the problems of the inconsistency between the length counting mode of a surface defect detector and the length counting mode of a unit coiling, the misalignment between the defect position recorded by the surface detector and the position counted by the unit, and the inaccuracy of length alignment caused by the mutual independence of length counting between cross-process units.

Description

Technical Field

[0001] This invention relates to steel product quality management and automation technology, and more specifically, to a method for automatically and accurately cutting defects across processes in silicon steel production. Background Technology

[0002] The production process of silicon steel is as follows Figure 1 As shown, silicon steel inevitably has quality defects during the production process, and these defects need to be removed during the finishing process before leaving the factory. Currently, the annealing process for finished silicon steel is usually equipped with online surface defect detection equipment, and the shearing plan is determined manually or by a system based on the detection results. The steel coil length measurement standard of the finished annealing unit and the length measurement of the surface defect detection device are set by their respective manufacturers, and the length measurement standards of the two are not consistent. This inevitably leads to a deviation between the defect location recorded by the surface inspection instrument of the finished annealing unit and the actual corresponding location of the strip length.

[0003] When slitting defects in the finishing process, the strip length is located based on the length calculation data of this process. Currently, the length calculations between different processes are independent; that is, the calculation of the coiling length in the preceding process and the calculation of the remaining uncoiling length in the following process are independent. This cross-process length calculation deviation often reaches tens or even hundreds of meters. Thus, there is a significant discrepancy in locating the same defect in the strip length between the finishing process and the preceding process (finished product annealing). Furthermore, this deviation is affected by uncertain factors such as the diameter error of the guide rollers and guide roller slippage. This deviation is not a relatively fixed, systematic deviation; it fluctuates very unstablely. In other words, the subsequent process cannot use the length calculation data of its own process to locate the defect position recorded by the preceding process.

[0004] Therefore, in the actual production process of the finishing process, the records of defect detection results and defect cutting plans from the previous process can only be used as reference data for the shearing operation, and cannot be directly applied to the system. To ensure the accurate removal of strip defects, finishing operators usually determine the final defect cutting method by referring to the shearing plan and combining it with the results of manual quality confirmation for this process. Currently, this method cannot escape the predicament of manual intervention, resulting in low production efficiency in the finishing process. Moreover, due to factors such as employee skill bias and the inability to guarantee the continuity of manual quality confirmation, there are still deviations in defect control.

[0005] Existing patent applications, such as Chinese Patent Publication No. CN113926858A, disclose a preprocessing method for nesting and cutting defective boards, which also includes a nesting method for nesting and cutting defective boards, a production optimization method and system thereof, computing equipment, storage media, etc.

[0006] For example, Chinese Patent Publication No. CN114021868A discloses an online performance grading and precise slitting device and method for oriented silicon steel products, which makes the performance distribution on the same roll uniform, avoids the occurrence of performance defects or multiple performance grades in the roll, and improves the performance stability of the roll.

[0007] For example, Chinese Patent Publication No. CN113441778B discloses a method for shearing high-grade non-oriented silicon steel, comprising: after the strip to be sheared is conveyed to the shearing position by the pinch rollers, the pinch rollers release their grip on the strip to be sheared; the lower shear blade located below the strip to be sheared moves upward, pushing the strip to be sheared to continue moving upward under low tension; after the strip to be sheared contacts the upper shear blade, the strip to be sheared is cut. This method can greatly reduce shearing defects in high-grade non-oriented silicon steel, reduce scrap, and improve shearing efficiency.

[0008] For example, Chinese Patent Publication No. CN111366702A discloses an online intelligent precision slitting system and method for non-oriented silicon steel. The online intelligent precision slitting system includes a measurement module, a recording module, an analysis module, a defect detection and recording module, an intelligent judgment module, and a production management module. It can automatically record and process various performance parameters and apparent defect data of 1m steel coils along the entire length of non-oriented silicon steel at equal intervals, and perform intelligent precision grading. Based on the optimal slitting scheme given by the intelligent precision grading, the workload of manual grading is reduced, and the accuracy and efficiency of slitting judgment are improved.

[0009] For example, Chinese Patent Publication No. CN105665292A discloses an automatic roll material sorting equipment and a control method for the sorting process. By adding detection devices and control systems to the traditional production process of uncoiling, leveling, shearing, and sorting, and by using sheet position tracking control methods, conveyor belt speed control methods, and stacking table dropping posture control methods, the fully automated process control of the roll material is achieved, from uncoiling, thickness difference defect detection, leveling, pinhole defect detection, flying shear cutting, good / defective product sorting, and dropping into the stacking table.

[0010] The aforementioned patented technologies mainly focus on defect detection devices, automatic judgment methods, and defect segmentation methods, but none of them involve methods for automatically achieving precise defect removal across processes. Summary of the Invention

[0011] To address the shortcomings of existing technologies, the present invention aims to provide a method for the automatic and precise cross-process cutting of defects in silicon steel production. This method solves the problems of inconsistent length counting methods between the surface defect detector and the winding unit, which leads to misalignment between the defect location recorded by the surface defect detector and the length counting location of the unit, as well as inaccurate length alignment caused by the independent length counting between cross-process units.

[0012] To achieve the above objectives, the present invention adopts the following technical solution:

[0013] A method for automatically and precisely cutting defects across silicon steel production processes includes the following steps:

[0014] S1, Defect location correction in the surface inspection system;

[0015] S2, Alignment of length calculation data for cross-process units;

[0016] S3. Automatic execution of the cutting strategy.

[0017] Preferably, step S1, the defect location correction of the inspection system, specifically includes the following steps:

[0018] S11. The unit control terminal PLC sends the head tracking signal to the meter inspection control unit of the meter inspection system.

[0019] S12, The detection control unit performs detection position matching;

[0020] S13. Correct and update the defect length direction location information in the database of the table inspection system.

[0021] Preferably, step S2, which aligns the length calculation data across processes, specifically includes the following steps:

[0022] S21. Establish the relationship between the number of winding turns and the winding length in the previous process;

[0023] S22. Establish the relationship between the number of uncoiling turns and the length in the subsequent process;

[0024] S23. Establish the relationship between the number of winding turns in the preceding process and the number of unwinding turns in the following process. Based on the principle that the number of turns in the preceding and following processes remains unchanged, establish the relationship between the number of winding turns in the preceding process and the number of unwinding turns in the following process.

[0025] Preferably, in step S21, the relationship between the number of winding turns and the winding length in the previous process is as follows:

[0026] L=f(Q) (1)

[0027] In formula (1), L is the winding length of the previous process and Q is the number of winding turns of the previous process.

[0028] Preferably, in step S22, the relationship between the number of unwinding turns and the length in the subsequent process is as follows:

[0029] l=f(q)+l x +l0 (2)

[0030] In formula (2), l is the winding length of the subsequent process, q is the number of unwinding turns in the subsequent process, and l x It is the length of the offline processing before the finishing process goes online, and l0 is the fixed distance between the uncoiling and cross-cutting in the finishing process.

[0031] Preferably, in step S23, the relationship between the number of winding turns in the preceding process and the number of unwinding turns in the subsequent process is as follows:

[0032] Q=f(q) (3)

[0033] Therefore, an alignment formula is established for the length measurement of the subsequent process with the length measurement of the preceding process:

[0034] L=f(l) (4).

[0035] Preferably, the cutting strategy in step S3 is automatically executed by an automatic execution system for the slitting strategy of the finishing process.

[0036] Preferably, the automatic execution system for the splitting strategy includes:

[0037] The platform layer generates a slicing strategy through a slicing model set in the platform layer;

[0038] The edge layer accepts the splitting strategy from the platform layer and sends splitting execution instructions to the next layer.

[0039] The control layer executes the splitting and execution instructions issued by the edge layer.

[0040] Preferably, the slitting model uses the defect location correction data in the strip length direction as a reference, recommends a slitting scheme according to specified rules, and outputs the cutting edge amount and length direction slitting position parameters of each strip package to the edge layer through the manufacturing system.

[0041] Preferably, the edge layer uses the length measurement data of the finishing process aligned with the previous process as a reference, and issues slitting instructions in real time in accordance with the slitting scheme issued by the platform layer.

[0042] Preferably, the disc shear and cross shear in the finishing process receive the cutting amount and slitting position instructions issued by the edge layer, automatically adjust the cutting amount of the disc shear, and cut the strip at the specified slitting position along the length of the strip to complete the defect sorting.

[0043] The present invention provides an automated and precise cross-process defect-splitting production method for silicon steel, which has the following advantages:

[0044] 1) Cross-process unit length alignment: Based on the characteristic that the number of winding or unwinding turns is basically unaffected by external factors, and on the basis of establishing the relationship between the winding tailing and unwinding threading of the front and rear process units, the strategy of calculating the number of turns of the front and rear process units is optimized by using the number of turns calculation method, correcting the deviation of the length calculation data of the front and rear process units, so as to achieve the purpose of unifying the length calculation benchmark between cross-process units, maintaining accurate alignment of the number of turns of the front and rear process units, and realizing the tracking of defect location across processes;

[0045] 2) Alignment of length between machine unit and inspection instrument in the same process: Using the machine unit's length measurement data as a benchmark, the inspection system matches the detection position according to the defined length, corrects and updates the defect length direction position information in the inspection system database, ensuring that the inspection instrument's length positioning data is consistent with the machine unit's length measurement data. This method can reduce the original defect length direction positioning deviation from tens to hundreds of meters to within 1 meter, which can meet the purpose of precise defect removal;

[0046] 3) Based on defect location alignment, a method was developed for automatically removing defects recorded in the preceding process across multiple processes. The slitting plan is directly sent to the finishing process control system through the factory's MES system. During finishing production, the machine can directly execute the slitting plan to achieve accurate defect slitting. No manual intervention is required during the slitting plan transmission and defect slitting process, successfully reducing the manual confirmation process of defect location assisted by the finishing process. This not only reduces the workload of manual labor but also improves the accuracy of defect slitting and significantly increases production efficiency. Attached Figure Description

[0047] Figure 1 This is a schematic diagram of the silicon steel production process;

[0048] Figure 2 This is a flowchart illustrating the automatic and precise cross-process defect-removing production method for silicon steel according to the present invention.

[0049] Figure 3 This is a flowchart illustrating step S1 in the automatic and precise cross-process defect-splitting production method for silicon steel of the present invention.

[0050] Figure 4 This is a schematic diagram of the principle of step S2 in the automatic and precise cross-process defect-splitting production method for silicon steel of the present invention;

[0051] Figure 5 This is a schematic diagram of the architecture of the automatic execution system for the cutting strategy in the automatic and precise cross-process cutting defect production method for silicon steel of the present invention;

[0052] Figure 6 This is a schematic diagram of the process for generating cutting instructions in the automatic execution system of the cutting strategy in the silicon steel cross-process automatic and precise cutting defect production method of the present invention. Detailed Implementation

[0053] To better understand the above-mentioned technical solutions of the present invention, the technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0054] Combination Figure 2 As shown, the present invention provides a method for automatically and accurately cutting defects across multiple processes in silicon steel production, comprising the following steps:

[0055] S1. Defect location correction in the surface inspection system, specifically including:

[0056] S11. During the final annealing process, the PLC at the unit control end sends the lead tracking signal to the inspection control unit of the inspection system at a fixed interval (such as meters between 1 and 100 meters).

[0057] S12. The inspection control unit performs detection position matching according to the defined length (matched according to the tracking signal);

[0058] S13. Correct and update the defect length direction position information in the database of the form inspection system to ensure consistency between the length position (corrected) data of the form inspection system and the length position data of the unit. That is, the corrected form inspection defect position data in the length direction should be completely consistent with the position information of the unit's winding length. Figure 3 As shown.

[0059] S2. Alignment of length calculation data across work processes, specifically including:

[0060] S21. The relationship between the number of winding turns and the winding length in the previous process is established as follows:

[0061] L=f(Q) (1)

[0062] In formula (1), L is the winding length of the previous process and Q is the number of winding turns of the previous process.

[0063] S22. The relationship between the number of uncoiling turns and the length in the subsequent process is established as follows:

[0064] l=f(q)+l x +l0 (2)

[0065] In formula (2), l is the winding length of the subsequent process, q is the number of unwinding turns in the subsequent process, and l x It is the length of the offline processing before the finishing process goes online, and l0 is the fixed distance between the uncoiling and cross-cutting in the finishing process.

[0066] S23. Establish the relationship between the number of winding turns in the preceding process and the number of unwinding turns in the following process. Based on the principle that the number of turns in the preceding and following processes remains unchanged, the relationship between the number of winding turns in the preceding process and the number of unwinding turns in the following process is established as follows:

[0067] Q=f(q) (3)

[0068] Therefore, an alignment formula is established for the length measurement of the subsequent process with the length measurement of the preceding process:

[0069] L=f(l) (4)

[0070] The length measurement data of the subsequent process is directly based on the length measurement data of the previous process.

[0071] S3. The automatic execution system automatically executes the shearing strategy through the slitting strategy of the finishing process.

[0072] In step S2 above, the finishing process is the process following the final annealing process. For silicon steel products, its main purpose is to compare the defect records of the previous process (final annealing process) and remove product defects according to the defect cutting plan. In order to support the accuracy of defect cutting, the consistency of the length measurement benchmark across processes must be ensured.

[0073] Step S2 ensures consistency in strip length calculation across processes. The finishing process still uses the length calculation from the previous process (final annealing process) as the benchmark. To avoid the impact of errors in the guide roller diameter and guide roller slippage on the accuracy of length calculation, and considering that the number of coil or uncoiling turns is largely unaffected by external factors, a correlation is established between the coil tailing and uncoiling threading of the preceding and following processes. By using the method of calculating the number of turns, the strategy for calculating the number of turns of the preceding and following process units is optimized, and the deviation in the length calculation data of the preceding and following process units is corrected. This unifies the length calculation between the units across processes, maintains accurate alignment in the number of turns of the preceding and following process units, and enables the tracking of defect locations across processes.

[0074] Additionally, considering the situation where, after the final annealing process, the steel coil is produced and before entering the finishing process, offline sampling and inspection are performed on the outer ring of the steel coil (offline cutting length l). x Furthermore, the uncoiling position and the cross-cutting position in the finishing process also have a fixed distance l0. Therefore, when the finishing process aligns the number of coils with the preceding process, the length of this offline processing part needs to be taken into account.

[0075] For example Figure 4 As shown, the steel coil in the previous process is N meters long. Based on the defect slitting plan, the total length of the strip is divided into n units (i.e., n coils, with a slitting length of l). n ), which respectively correspond to the number of winding turns Q. l —Q n During subsequent production processes, according to formula (3), the number of uncoiling coils q in the subsequent process is measured. n This corresponds to the number of winding turns Q in the previous process. nAlternatively, the length alignment formula (4) of the preceding and following processes can be established based on the length l of the following process to directly correlate and calculate the length L of the preceding process.

[0076] Combination Figure 5 and Figure 6 As shown, the automatic slicing strategy execution system is the final step in the finishing process to achieve automatic slicing. The overall execution system is designed with a three-layer cloud-edge-device architecture. The specific architecture includes:

[0077] Platform Layer 1 (Cloud) generates slitting strategies through the slitting model deployed on Platform Layer 1. Based on the defect location correction data along the length of the strip, it recommends slitting schemes according to specified rules (such as yield priority, coil weight priority, value priority, contract delivery priority, etc.) and outputs the trimming amount and length-direction slitting position parameters of each strip sub-package to the edge layer through the manufacturing system.

[0078] Edge layer 2 (edge) receives the slitting strategy from platform layer 1 and issues slitting execution instructions to the next layer (control layer 3). Edge layer 2 uses the length measurement data of the finishing process aligned with the previous process (final annealing process) as a benchmark and issues slitting instructions in real time in accordance with the slitting scheme issued by platform layer 1.

[0079] Control layer 3 (end) executes the slitting instructions issued by edge layer 2. The disc shear and cross shear in the finishing process receive the cutting amount and slitting position instructions issued by edge layer 2, automatically adjust the cutting amount of the disc shear, and cut the strip at the specified slitting position along the length of the strip to complete the defect sorting.

[0080] The strip cutting process requires no manual intervention during transmission and strip cutting, successfully eliminating the manual confirmation process of defect location in the finishing process. This reduces the workload of manual labor and significantly improves production efficiency. Furthermore, since the strip achieves unified length measurement and traceability across processes, the consistency of defect location records between the front-end inspection instrument and the back-end defect cutting location is ensured, achieving the goal of precise defect removal.

[0081] Those skilled in the art should recognize that the above embodiments are merely illustrative of the present invention and are not intended to limit the present invention. Any variations or modifications to the above embodiments that are within the spirit and essence of the present invention will fall within the scope of the claims of the present invention.

Claims

1. A method for automatically and accurately slitting defects of silicon steel across processes, characterized in that, The method comprises the following steps: S1, defect position correction of the gauge detection system, specifically comprising the following steps: S11, the unit control end PLC sends a strip head tracking signal to the gauge detection control unit of the gauge detection system; S12, the gauge detection control unit performs detection position matching; S13, correct and update the defect length direction position information in the database of the gauge detection system; S2, alignment of length measurement data across the process unit, specifically comprising the following steps: S21, establish the relationship between the coiling number and the coiling length of the previous process; S22, establish the relationship between the uncoiling number and the length of the subsequent process; S23, establish the correlation between the coiling number of the previous process and the uncoiling number of the subsequent process, based on the principle of constant number of turns in the previous and subsequent processes, establish the correlation between the coiling number of the previous process and the uncoiling number of the subsequent process; S3, automatic execution of the slitting strategy by the slitting strategy automatic execution system.

2. The method according to claim 1, wherein the method is characterized by: In the step S21, the relationship between the coiling number and the coiling length of the previous process is as follows: （1） In formula (1), L is the coiling length of the previous process, and Q is the coiling number of the previous process.

3. The method according to claim 2, wherein the method is characterized by, In the step S22, the relationship between the uncoiling number and the length of the subsequent process is as follows: （2） In formula (2), l is the coiling length of the subsequent process, q is the uncoiling number of the subsequent process, l x is the length of offline treatment before online production in the finishing process, and l0 is the fixed distance between uncoiling and cross-cutting in the finishing process.

4. The method according to claim 3, wherein the method is characterized by, In the step S23, the correlation between the coiling number of the previous process and the uncoiling number of the subsequent process is as follows: （3） Thus, the alignment relationship formula from the length measurement of the subsequent process to the length measurement of the previous process is established: （4）。 5. The method of claim 1, wherein the method further comprises: The slitting strategy automatic execution system comprises: A platform layer, which generates a slitting strategy through a slitting model arranged in the platform layer; An edge layer, which receives the slitting strategy of the platform layer and issues a slitting execution instruction to the next layer; A control layer, which executes the slitting execution instruction issued by the edge layer.

6. The method of claim 5, wherein the method further comprises: The slitting model takes the defect position correction data of the strip length direction as a reference, recommends a slitting scheme according to a specified rule, and outputs the edge cutting amount and the length direction slitting position parameter of each slitting package of the strip to the edge layer through the manufacturing system. ​ 7. The method of claim 6, wherein the method further comprises: The edge layer takes the length measurement data of the finishing process aligned to the previous process as a reference, and issues a slitting instruction in real time by comparing the slitting scheme issued by the platform layer. ​ 8. The method of claim 7, wherein the method further comprises: The disc shear and the cross shear of the finishing process respectively receive the edge cutting amount and the slitting position instruction issued by the edge layer, automatically adjust the edge cutting amount of the disc shear, and cut the strip at the specified length direction slitting position to complete the defect sorting. ​

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