A method for intelligent identification and thickness control of similar steel strips

Abstract

The application discloses a kind of similar strip steel intelligent identification and thickness control method, including step one, long time stop thickness optimization;Step two, change support roll thickness automatic compensation;Step three, change roll opening roll gap compensation self-learning method.The application meets the production stability demand under respective condition, improves the stability of rolling, improves quality control index, reduces the repair cutting loss proportion of head and tail thickness and shape bad overproof.Improves the image of product quality, improves the satisfaction of user, reduces economic loss.

Description

TECHNICAL FIELD

[0001] The present application relates to the application technical field of hot rolling mill rolling model, in particular to a similar strip steel intelligent identification and thickness control method. BACKGROUND

[0002] The thickness precision of strip steel product is about 98%, which is lower than the average level of the industry. The head and tail thickness out-of-tolerance rework cutting accounts for 7.5% of the rework proportion, which increases the cost of the leveling rework process, and the cutting loss reduces the yield, affecting the overall control level of the cost. The main reason is that the first coil after the finishing rolling replacement of the work roll, the first coil after the finishing rolling replacement of the backup roll and the first coil after a long time stop are unstable control coils, and the head and tail thicknesses are out of tolerance, and the size exceeds the delivery standard and needs to be cut off at the leveling unit. The accurate control of the above three types of coils has not been solved, which has become a technical problem that has plagued our factory. SUMMARY

[0003] The purpose of the present application is to provide a similar strip steel intelligent identification and thickness control method to solve the problems raised in the background art.

[0004] To achieve the above purpose, the present application provides the following technical scheme: a similar strip steel intelligent identification and thickness control method, comprising the following steps: step one, long time stop thickness optimization; step two, backup roll replacement thickness automatic compensation; step three, roll replacement opening roll gap compensation self-learning method.

[0005] In the above step one, the first coil rolled after a long time stop is identified; the roll temperature is restored to the initial roll temperature; after initialization, the roll gap compensation of the roll is corrected.

[0006] In the above step two, the first coil rolled after replacing the backup roll is identified; after receiving the backup roll replacement signal, the roll replacement thickness compensation value is automatically assigned; after rolling the first piece of steel, the compensation value is automatically reset.

[0007] In the above step three, the roll gap deviation value of the first piece of steel after roll replacement is calculated in the self-learning program

[0008] After that, multiply the corresponding coefficient, add the accumulated value of the previous roll replacement roll gap compensation learning, and save the accumulated data as the roll replacement roll gap compensation value of the current period; the self-learning function is only for the first piece of steel rolled after replacing the finishing work roll.

[0009] Preferably, the step in the step three comprises the following steps: firstly judging whether to replace the finishing work roll; if judging not to replace the finishing work roll, not executing the roll gap self-learning program of roll changing; if judging to replace the finishing work roll, executing the roll gap self-learning program of roll changing; receiving the actual thickness of the strip head, calculating the thickness of each stand through the principle of equal second flow; calculating the back calculation thickness of each stand through the bounce equation; taking the actual thickness of each stand minus the back calculation thickness as the deviation value of roll gap compensation; after calculating the roll gap deviation value of the first piece of the roll changing in the self-learning program, multiplying the corresponding coefficient, adding with the accumulated value of the roll gap compensation learning before roll changing, and saving the accumulated data as the roll gap compensation value of the current period of roll changing; the function of the self-learning is only for the first piece of steel of the starting rolling after replacing the finishing work roll.

[0010] Preferably, the step one calculates the stop rolling time; if the stop rolling time exceeds 30 minutes, initializing the calculation of roll thermal expansion, and restoring the roll temperature to the initial roll temperature of 20 DEG C; after the initialization, correcting the roll gap compensation of the roll, and adjusting the correction coefficient according to the field working condition.

[0011] Preferably, the step two reads the supporting roll changing signal; after receiving the supporting roll changing signal, the roll thickness compensation value is automatically assigned; after rolling the first piece of steel, the compensation value is automatically reset.

[0012] Compared with the prior art, the application has the beneficial effects that:

[0013] The application separately identifies the rolling conditions before rolling for the first piece of steel of the starting rolling after replacing the finishing work roll, the first piece of steel of the starting rolling after replacing the supporting roll of the finishing roll and the first piece of steel of the starting rolling after long time stop, distinguishes from the conventional rolling strip, and formulates separate rolling adjustment strategies according to the three kinds of situations, meets the production stability requirements under respective conditions, improves the stability of rolling, improves the quality control index, reduces the repair cutting loss proportion of the head and tail thickness and plate shape badness, improves the image of product quality, improves the satisfaction of users, and reduces the economic loss. BRIEF DESCRIPTION OF DRAWINGS

[0014] Figure 1 The calculation stop rolling time program and the return initialization program of the application;

[0015] Figure 2 The initialization and roll gap compensation correction program of the application;

[0016] Figure 3 The roll gap self-learning program of the application for replacing the finishing roll;

[0017] Figure 4 The flowchart of the application. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort belong to the scope of the present application.

[0019] In the description of the present application, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "two ends", "one end", "the other end" and the like indicate the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first" and "second" are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0020] In the description of the present application, it should be noted that unless otherwise explicitly specified and limited, the terms "mounting", "provided with", "connection" and the like should be broadly understood, for example, "connection" can be fixed connection, can also be detachable connection, or integrally connected; can be mechanical connection, can also be electrical connection; can be directly connected, can also be indirectly connected through an intermediate medium, can be the communication inside two elements. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0021] Please refer to Figures 1-4 The present application provides an embodiment:

[0022] To achieve the above object, the present application provides the following technical scheme: a similar strip steel intelligent identification and thickness control method, comprising the following steps: step one, long-time stop rolling thickness optimization; step two, automatic compensation of supporting roll thickness after changing supporting roll; step three, roll opening gap compensation self-learning method after changing roll;

[0023] In the above step one, the first roll rolled after long-time stop rolling is identified; the roll temperature is restored to the initial roll temperature; after initialization, the roll gap compensation of the roll is corrected;

[0024] In the above step two, the first roll rolled after changing the supporting roll is identified; after receiving the supporting roll changing signal, the roll thickness compensation value is automatically assigned; after rolling the first piece of steel, the compensation value is automatically reset;

[0025] Wherein the step three above, in the self-learning program, the roll gap deviation value of the first piece of the gauge change is calculated, multiplied by the corresponding coefficient, added with the accumulated value of the previous roll change roll gap compensation learning, and the accumulated data is saved as the roll change roll gap compensation value of the current period; the self-learning function is only for the first piece of steel of the replaced finishing work roll.

[0026] The step three comprises the following steps: firstly judging whether the finishing work roll is replaced; if judging that the finishing work roll is not replaced, the roll change roll gap self-learning program is not executed; if judging that the finishing work roll is replaced, the roll change roll gap self-learning program is executed; receiving the actual thickness of the strip head, calculating the thickness of each stand through the equal principle of the second flow; calculating the back calculation thickness of each stand through the bounce equation; taking the actual thickness of each stand minus the back calculation thickness as the deviation value of the roll gap compensation; in the self-learning program, the roll gap deviation value of the first piece of the gauge change is calculated, multiplied by the corresponding coefficient, added with the accumulated value of the previous roll change roll gap compensation learning, and the accumulated data is saved as the roll change roll gap compensation value of the current period; the self-learning function is only for the first piece of steel of the replaced finishing work roll; the step one calculates the stop rolling time; if the stop rolling time exceeds 30 minutes, the roll heat expansion calculation is initialized, the roll temperature is restored to the initial roll temperature of 20℃, details are shown in Figure 1 ; after the initialization, the roll gap compensation of the roll is corrected, the correction coefficient is adjusted according to the field conditions, details are shown in Figure 2 ; the step two reads the backup roll change signal; after receiving the backup roll change signal, the roll thickness compensation value is automatically assigned (the value is only used for changing the backup roll according to the field conditions); after the first piece of steel is rolled, the compensation value is automatically reset.

[0027] The parts not described in the present application are the known technology of the person skilled in the art.

[0028] Finally, it should be noted that: the above specific embodiments are only used to illustrate the technical solutions of the present application and are not limited, although the present application is described in detail with reference to the embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified and replaced equivalently without departing from the spirit and scope of the technical solutions of the present application, and they should be covered in the scope of the claims of the present application.

Claims

1. A method for intelligent identification and thickness control of similar strip steel, comprising: Step 1, thickness optimization during long-term rolling stoppage; Step 2, automatic thickness compensation when changing support rolls; Step 3, a self-learning method for compensation of roll gap during roll change and resumption of rolling; characterized in that: In step one above, the first rolled coil after a long period of shutdown is identified; the roll temperature is restored to the initial roll temperature; after initialization, the roll gap compensation is corrected. In step two above, the first coil rolled after the support roll is identified; when the support roll change signal is received, the roll change thickness compensation value is automatically assigned; after the first piece of steel is rolled, the compensation value is automatically reset. In step three above, after calculating the roll gap deviation value of the first roll change in the self-learning program, it is multiplied by the corresponding coefficient and summed with the accumulated value of the roll gap compensation learning of the previous roll change. The accumulated data is then saved as the roll gap compensation value for the current roll change cycle. This self-learning function is only for the first piece of steel to be rolled when the finishing work roll is replaced.

2. The intelligent identification and thickness control method for similar strip steel according to claim 1, characterized in that: The steps in step three include the following steps: first, determining whether to replace the finishing work roll; if it is determined that the finishing work roll is not to be replaced, the roll gap self-learning program is not executed; if it is determined that the finishing work roll is to be replaced, the roll gap self-learning program is executed; upon receiving the actual thickness of the strip head, the thickness of each stand is calculated based on the principle of equal flow rate per second. The back-calculated thickness of each stand is calculated using the bounce equation; the actual thickness of each stand is subtracted from the back-calculated thickness to obtain the deviation value for roll gap compensation; in the self-learning program, the roll gap deviation value of the first roll change is calculated, multiplied by the corresponding coefficient, and summed with the accumulated value of the previous roll gap compensation learning, and the accumulated data is saved as the roll gap compensation value for this cycle; this self-learning function is only for the first piece of steel to be rolled when the finishing work roll is changed.

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