Cross-process automatic accurate defect slitting production method for silicon steel

Abstract

The invention discloses a silicon steel cross-process automatic accurate defect slitting production method. The method comprises the following steps: S1, defect position correction of a surface detection system; s2, aligning the length counting data of the cross-process unit; and S3, automatically executing the shearing strategy. The method solves the problems that the length metering mode of the surface defect detector is inconsistent with the length metering mode of unit coiling, so that the defect position recorded by the surface detector is not aligned with the length metering position of the unit, the length metering between the cross-process units is mutually independent, and the length alignment is not accurate, and the like.

Description

Technical Field

[0001] The present invention relates to the quality management and automation technology of steel products, and more specifically, to an automatic and precise cross-process cutting defect production method for silicon steel. Background Art

[0002] The production process of silicon steel is as Figure 1 shown. During the production of silicon steel, quality defects inevitably occur and need to be removed in the finishing process before leaving the factory. Currently, in the finished product annealing process of silicon steel, generally, on-line surface defect detection equipment is equipped, and the shearing scheme is determined manually or by the system according to the detection results. The length measurement reference of the steel coil in the finished product annealing unit and the length measurement of the surface defect detection device are set by their respective manufacturers, and the length measurement references of the two are not consistent, which will inevitably lead to a deviation between the defect position recorded by the surface inspection instrument of the finished product annealing unit and the position corresponding to the actual strip length measurement.

[0003] When cutting defects in the finishing process, the strip length is positioned according to the length measurement data of this process. Currently, the length calculations between cross-process units are independent of each other, that is, the coiling length calculation of the previous process and the remaining uncoiled length calculation of the subsequent process are independent of each other. Such cross-process length measurement deviations often reach dozens of meters or even hundreds of meters. In this way, there is a large deviation in the positioning of the same defect on the strip length between the finishing process and the previous process (finished product annealing process), and it is affected by uncertain factors such as the roller diameter error of the turning roller and the slipping of the turning roller. This deviation is not a relatively fixed systematic deviation and fluctuates very unstably, that is, the subsequent process cannot use the length measurement data of this process to locate the defect position recorded by the previous process.

[0004] Therefore, in the actual production process of the finishing process, only the record of the defect detection result of the previous process and the defect cutting scheme can be used as reference data for the shearing operation, and cannot be directly applied in the system. To ensure the precise cutting of strip defects, usually, the finishing operator decides the final defect cutting method by referring to the shearing scheme and combining the manual quality confirmation result of this process. Currently, this method cannot get rid of the dilemma of manual intervention, the production efficiency of the finishing process is low, and due to factors such as employee skill deviation and the inability to guarantee the continuity of manual confirmation in the manual quality confirmation, there are still deviations in the inspection of defects.

[0005] In existing patent applications, such as Chinese Patent Publication No. CN113926858A, a pretreatment method for nested cutting of defective plates is disclosed, and it also includes a nesting method for nested cutting of defective plates, a production optimization method and its system, a computing device, a storage medium, etc.

[0006] As disclosed in Chinese Patent Publication No. CN114021868A, an on-line performance grading and precise slitting device and method for grain-oriented silicon steel products are provided, which make the performance distribution uniform on the same coil, avoid the situation of performance rejects or multiple performance grades on the coil, and improve the performance stability of the coil.

[0007] As disclosed in Chinese Patent Publication No. CN113441778B, a shearing method for high-grade non-oriented silicon steel includes: after the strip to be sheared is conveyed by pinch rolls to the shearing position, the pinch rolls release the clamping of 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 continuously move upward under low tension; after the strip to be sheared contacts the upper shear blade, the strip to be sheared is cut off. This method can greatly reduce the shearing defects of high-grade non-oriented silicon steel, reduce the reject rate, and improve the shearing efficiency.

[0008] As disclosed in Chinese Patent Publication No. CN111366702A, an on-line intelligent precise slitting system for non-oriented silicon steel and its on-line intelligent precise slitting method are provided. The provided on-line intelligent precise slitting system includes a measurement module, a recording module, an analysis module, a defect detection and recording module, an intelligent determination module, and a production management module. It can automatically record and process various performance parameters and apparent defect data of each 1m steel coil in the full length direction of non-oriented silicon steel at equal intervals, and perform intelligent precise grading. According to the optimal slitting scheme given by the intelligent precise grading, the workload of manual grading is reduced, and the accuracy and working efficiency of slitting determination are improved.

[0009] As disclosed in Chinese Patent Publication No. CN105665292A, a control method for a coil automatic sorting device and sorting process is provided. By adding a detection device and a control system to the traditional production process of uncoiling, leveling, shearing, and sorting, and through methods such as sheet position tracking control, conveyor belt speed control, and stacker landing plate attitude control, the full-automatic process control of the coil from uncoiling, thickness difference defect detection, leveling, pinhole defect detection, flying shear shearing, genuine product / defective product sorting, and falling into the stacker is realized.

[0010] The above-mentioned patented technologies mainly focus on defect detection devices, automatic determination methods, and defect slitting methods, and do not involve an automatic method for precisely removing defects across processes. Summary of the Invention

[0011] Aiming at the defects existing in the prior art, the purpose of the present invention is to provide a production method for automatically and precisely slitting defects across processes of silicon steel, which solves the problems that the length measurement methods of the surface defect detector and the coiler of the unit are inconsistent, resulting in misalignment between the defect positions recorded by the surface inspection instrument and the positions measured by the unit length measurement, and inaccurate length alignment due to independent length measurements between units across processes.

[0012] To achieve the above object, the present invention adopts the following technical solutions:

[0013] An automatic and precise defect production method for silicon steel across processes, comprising the following steps:

[0014] S1. Correction of the defect position of the surface inspection system;

[0015] S2. Alignment of the length measurement data of the cross-process unit;

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

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

[0018] S11. The PLC at the unit control end sends the leading head tracking signal to the surface inspection control unit of the surface inspection system;

[0019] S12. The surface inspection control unit performs detection position matching;

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

[0021] Preferably, the alignment of the length measurement data of the cross-process unit in step S2 specifically includes the following steps:

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

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

[0024] S23. Establish the association between the coiling turns of the previous process and the uncoiling turns of the subsequent process. Based on the principle that the number of turns in the previous and subsequent processes remains unchanged, establish the association relationship between the coiling turns of the previous process and the uncoiling turns of the subsequent process.

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

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

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

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

[0029] l = f(q) + l x +l 0 (2)

[0030] In formula (2), l is the coiling length of the subsequent process, q is the number of uncoiling turns of the subsequent process, and l x is the length of offline processing before the finishing process goes into production online, and l 0 is the fixed distance between uncoiling and transverse shearing in the finishing process.

[0031] Preferably, in the step S23, the correlation relationship between the number of coiling turns of the previous process and the number of uncoiling turns of the subsequent process is as follows:

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

[0033] Thus, an alignment relationship for length measurement of the subsequent process to the length measurement of the previous process is constructed:

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

[0035] Preferably, the automatic execution of the shearing strategy in the step S3 is performed by the slitting strategy automatic execution system of the finishing process.

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

[0037] The platform layer generates a slitting strategy through a slitting model provided in the platform layer;

[0038] The edge layer receives the slitting strategy of the platform layer and issues a slitting execution instruction to the next layer;

[0039] The control layer executes the slitting execution instruction issued by the edge layer.

[0040] Preferably, the slitting model is based on the defect position correction data in the length direction of the strip steel, recommends a slitting plan according to specified rules, and outputs the trimming amount and length direction slitting position parameters of each sub-pack of the strip steel to the edge layer through the manufacturing system.

[0041] Preferably, the edge layer is based on the length measurement data aligned from the finishing process to the previous process, and issues slitting instructions in real time in comparison with the slitting plan issued by the platform layer.

[0042] Preferably, the trimming amount and slitting position instructions issued by the edge layer are respectively received by the circular shear and transverse shear of the finishing process, the trimming amount of the circular shear is automatically adjusted, and the strip steel is cut at the specified length direction slitting position of the strip steel to complete defect sorting.

[0043] A method for automatically and precisely slitting defects in silicon steel across processes provided by the present invention has the following beneficial effects:

[0044] 1) Cross-process unit length alignment: Based on the characteristics that the coiling or uncoiling number of turns is basically not interfered by external factors, on the basis of establishing the association between the coiling tail-off and uncoiling threading of the front and rear process units, using the method of turn number calculation, optimizing the strategy of turn number calculation for the front and rear process units, correcting the deviation of the length measurement data of the front and rear process units, achieving the purpose of unifying the length calculation benchmark between cross-process units, maintaining accurate alignment of the turn numbers of the front and rear process units, and realizing cross-process defect position tracking;

[0045] 2) Same-process unit and surface inspection instrument length alignment: Taking the unit length measurement data as the benchmark, the surface inspection system matches the detection position according to the defined length, corrects and updates the position information of the defect length direction in the surface inspection system database to ensure that the length positioning data of the surface inspection instrument is consistent with the unit length measurement data. This method can reduce the original positioning deviation of the defect in the length direction from dozens to hundreds of meters to within 1m, which can meet the purpose of accurately cutting off the defect;

[0046] 3) On the basis of defect position alignment, formulate a method for automatically cutting off the defects recorded in the previous process across processes. The slitting plan is directly sent to the finishing process control system through the factory MES system, and the unit can directly execute the slitting plan during finishing production to achieve precise slitting of the defect. No manual intervention is required during the transmission of the slitting plan and the defect slitting process, successfully eliminating the manual confirmation process of the defect position in the finishing process auxiliary, which not only reduces the manual operation load but also improves the precision of defect slitting, and the production efficiency is also greatly improved. Description of the Drawings

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

[0048] Figure 2 is a schematic diagram of the process of the method for automatically and precisely cutting off defects across processes of silicon steel in the present invention;

[0049] Figure 3 is a schematic diagram of the process of step S1 in the method for automatically and precisely cutting off defects across processes of silicon steel in the present invention;

[0050] Figure 4 is a schematic diagram of the principle of step S2 in the method for automatically and precisely cutting off defects across processes of silicon steel in the present invention;

[0051] Figure 5 is a schematic diagram of the architecture of the slitting strategy automatic execution system in the method for automatically and precisely cutting off defects across processes of silicon steel in the present invention;

[0052] Figure 6 is a schematic diagram of the process of generating the slitting instruction of the slitting strategy automatic execution system in the method for automatically and precisely cutting off defects across processes of silicon steel in the present invention. Detailed Embodiment

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

[0054] Combined with Figure 2 As shown, a method for automatically and accurately cutting defects across processes of silicon steel provided by the present invention includes the following steps:

[0055] S1. Correction of the defect position of the surface inspection system, specifically including:

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

[0057] S12. The surface 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 surface inspection system to make the length position (corrected) data of the surface inspection system and the length position data of the unit unified. That is, the position data of the corrected surface inspection defect in the length direction is completely consistent with the position information of the coiling length of the unit, as Figure 3 shown.

[0059] S2. Alignment of the length measurement data of the cross-process unit, specifically including:

[0060] S21. Establish the relationship between the coiling number of turns and the coiling length of the previous process as follows:

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

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

[0063] S22. Establish the relationship between the uncoiling number of turns and the length of the subsequent process as follows:

[0064] l = f(q) + l x +l 0 (2)

[0065] In formula (2), l is the coiling length of the subsequent process, q is the uncoiling number of turns of the subsequent process, l x is the length of offline processing before the finishing process goes online for production, and l 0 is the fixed distance between the uncoiling and transverse shearing of the finishing process.

[0066] S23. Establish the association between the coiling number of turns of the previous process and the uncoiling number of turns of the subsequent process. Based on the principle that the number of turns of the previous and subsequent processes remains unchanged, establish the association relationship between the coiling number of turns of the previous process and the uncoiling number of turns of the subsequent process as follows:

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

[0068] Thus, an alignment relationship formula for the length measurement of the subsequent process to the length measurement of the previous process is constructed:

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

[0070] The length measurement data of the subsequent process directly uses the length measurement data of the previous process as the control basis.

[0071] S3. Automatically execute the shearing strategy through the automatic execution system of the slitting strategy in the finishing process.

[0072] In the above step S2, the finishing process is the subsequent process of the final annealing process. For silicon steel products, its main purpose is to check the defect records of the previous process (final annealing process) and cut off the product defects according to the defect slitting plan. To support the accuracy of defect slitting, it is necessary to ensure the consistency of the length measurement benchmark across processes.

[0073] In step S2, to ensure the consistency of the strip length measurement benchmark across processes, the finishing process still uses the coiling length measurement of the previous process (final annealing process) as the benchmark. To avoid the influence of factors such as the error of the turning roll diameter and the slipping of the turning roll on the length measurement accuracy, according to the characteristics that the coiling or uncoiling number of turns is basically not affected by external factors, by establishing the correlation between the coiling tailing and uncoiling threading of the front and rear processes and using the method of calculating the number of turns, optimize the strategy of calculating the number of turns of the front and rear process units, correct the deviation of the length measurement data of the front and rear process units, so as to unify the length calculation between the front and rear process units, maintain the accurate alignment of the number of turns of the front and rear process units, and realize the tracking of the defect position across processes.

[0074] In addition, considering the situation of off-line sampling inspection or inspection on the outer ring of the steel coil after the steel coil is produced in the final annealing process before entering the finishing process production (off-line cutting length l x ), and there is also a fixed distance l 0 between the uncoiling position and the transverse cutting position in the finishing process, so in the process of aligning the number of turns of the finishing process to the previous process, this part of the off-line processing length needs to be considered.

[0075] For example Figure 4 As shown, the length measurement of the steel coil in the previous process is N meters. According to the defect slitting plan, the total length of the strip is divided into n length measurement units (i.e., n sub-coils, slitting length l n ), which respectively correspond to the coiling number of turns Q l - Q n . During the production of the subsequent process, according to formula (3), by measuring the uncoiling number of turns q n of the subsequent process, it corresponds to the coiling number of turns Q n of the previous processAlternatively, based on the front and rear process length alignment formula (4) established on the basis of coil number alignment, the measurement length L of the previous process can be directly calculated in relation to the measurement length l of the subsequent process.

[0076] Combined with Figure 5 and Figure 6 As shown, the automatic execution system for the slitting strategy is the step for the final automatic slitting in the finishing process, and the overall execution system is designed according to the cloud-edge-end three-layer architecture. The specific architecture includes:

[0077] Platform layer 1 (cloud), which generates a slitting strategy through the slitting model arranged in platform layer 1. Based on the defect position correction data in the length direction of the strip steel, according to specified rules (such as yield rate priority, coil weight priority, value priority, contract delivery priority, etc.), a slitting plan is recommended, and the trimming amount and the slitting position parameters in the length direction of each sub-pack of the strip steel are output to the edge layer through the manufacturing system.

[0078] Edge layer 2 (edge), which receives the slitting strategy of platform layer 1 and issues slitting execution instructions to the next layer (control layer 3). Edge layer 2 is based on the measurement length data aligned with the previous process (final annealing process) in the finishing process, and in contrast to the slitting plan issued by platform layer 1, issues slitting instructions in real time.

[0079] Control layer 3 (end), which executes the slitting execution instructions issued by edge layer 2. The trimming amount and slitting position instructions issued by edge layer 2 are respectively received by the circular shear and the transverse shear in the finishing process, automatically adjust the trimming amount of the circular shear, and cut the strip steel at the slitting position in the specified length direction of the strip steel to complete defect sorting.

[0080] During the transmission of the slitting plan and the slitting process of the strip steel, no manual intervention is required, successfully eliminating the manual confirmation process of defect positions in the auxiliary finishing process, which not only reduces the manual operation load but also greatly improves production efficiency; and because the strip steel realizes unified measurement length benchmark traceability across processes, the consistency of the defect position recorded by the surface inspection instrument in the previous process and the defect slitting position in the subsequent process is ensured, achieving the purpose of accurate defect excision.

[0081] Those of ordinary skill in the art in this technical field should recognize that the above embodiments are only used to illustrate the present invention and are not used to limit the present invention. As long as it is within the scope of the essential spirit of the present invention, changes and modifications to the above embodiments will fall within the scope of the claims of the present invention.

Claims

1. A silicon steel cross-process automatic and accurate cutting defect production method, characterized in that: The following steps are involved: S1. Defect position correction of the surface inspection system; S2. Alignment of length measurement data across process units; S3. Automatic execution of shearing strategy.

2. The silicon steel cross-process automatic and accurate cutting defect production method according to claim 1 is characterized in that: The defect position correction of the surface inspection system in step S1 specifically includes the following steps: S11, the PLC at the unit control end sends the lead tracking signal to the meter inspection control unit of the meter inspection system; S12, the table inspection control unit performs detection position matching; S13, correcting and updating the defect length direction position information in the database of the surface inspection system.

3. The silicon steel cross-process automatic and accurate cutting defect production method according to claim 1 is characterized in that: The step S2 of aligning the length measurement data across process units specifically includes the following steps: S21, establishing the relationship between the number of coiling turns and the coiling length of the previous process; S22, establishing the relationship between the number of unwinding turns and the length in the subsequent process; S23. Establishing a correlation between the number of coiling turns in the preceding process and the number of uncoiling turns in the succeeding process. Based on the principle that the number of turns in the preceding and succeeding processes remains unchanged, establishing a correlation between the number of coiling turns in the preceding process and the number of uncoiling turns in the succeeding process.

4. The silicon steel cross-process automatic and accurate cutting defect production method according to claim 3 is characterized in that: In step S21, the relationship between the number of winding turns and the winding length in the previous process is as follows: L=f(Q) (1) In formula (1), L is the winding length of the previous process, and Q is the number of winding turns of the previous process.

5. The silicon steel cross-process automatic and accurate cutting defect production method according to claim 4 is characterized in that: In step S22, the relationship between the number of unwinding turns and the length in the subsequent process is as follows: l=f(q)+l x +l0 (2) 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 offline processing before the finishing process goes into production, and l0 is the fixed distance between uncoiling and cross-cutting in the finishing process.

6. The silicon steel cross-process automatic and accurate cutting defect production method according to claim 5 is characterized in that: In step S23, the correlation between the number of coiling turns in the preceding process and the number of uncoiling turns in the following process is as follows: Q=f(q) (3) Thus, the alignment relationship between the length measurement of the subsequent process and the length measurement of the previous process is constructed: L=f(l) (4).

7. The silicon steel cross-process automatic and accurate cutting defect production method according to claim 1 is characterized by: The shearing strategy of step S3 is automatically executed by the slitting strategy automatic execution system of the finishing process.

8. The silicon steel cross-process automatic accurate cutting defect production method according to claim 7 is characterized in that: The automatic execution system of the slitting strategy comprises: A platform layer, generating a segmentation strategy through a segmentation model provided at the platform layer; The edge layer accepts the segmentation strategy of the platform layer and issues segmentation execution instructions to the next layer; The control layer executes the splitting execution instruction sent by the edge layer.

9. The silicon steel cross-process automatic accurate cutting defect production method according to claim 8, characterized in that: The slitting model uses the defect position correction data in the length direction of the strip as a reference, recommends a slitting plan according to specified rules, and outputs the trimming amount and length direction slitting position parameters of each strip package to the edge layer through the manufacturing system.

10. The silicon steel cross-process automatic and accurate cutting defect production method according to claim 9, characterized in that: The edge layer uses the length measurement data of the finishing process aligned with the previous process as a reference, and compares it with the slitting plan issued by the platform layer to issue slitting instructions in real time.

11. The silicon steel cross-process automatic accurate cutting defect production method according to claim 10, characterized in that: The circular shear and transverse shear of the finishing process respectively receive the trimming amount and slitting position instructions issued by the edge layer, automatically adjust the trimming amount of the circular shear, and cut the strip at the specified slitting position in the length direction of the strip to complete defect sorting.

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