Pickling method, device and equipment for strip steel, readable storage medium and program product

Abstract

The invention provides a strip steel pickling method, device and equipment, a readable storage medium and a program product. The method comprises the steps that the thickness of oxide scale in to-be-pickled strip steel is obtained; generating strip steel data information of the to-be-pickled strip steel according to the carbon content, the total alloy content and the thickness in the to-be-pickled strip steel; inputting the strip steel data information into a preset pickling model to obtain a first pickling speed, a second pickling speed and a third pickling speed corresponding to head threading, middle pickling and tail drifting of the to-be-pickled strip steel in sequence; and according to the first pickling speed, the second pickling speed and the third pickling speed, pickling equipment is controlled to conduct pickling on the to-be-pickled strip steel. According to the method, the pickling speeds corresponding to different positions of the to-be-pickled strip steel are more appropriate, the surface quality of the strip steel is improved, and the quality risk is reduced; and the probability of direct contact between the strip steel and pickling equipment, especially the guide plate, can be reduced, and the probability of scratches is reduced.

Description

Technical Field

[0001] This application belongs to the technical field of steel manufacturing, and particularly relates to a pickling method, device, equipment, readable storage medium and program product for strip steel. Background Art

[0002] With the X32 bimetal band saw being widely used as the main material in bimetal strips due to its excellent wear resistance, high strength, high hardness, quenching and tempering properties, etc., the X32 bimetal band saw can be used with any type of band sawing machine and is applicable to almost all types of continuous metal sawing, such as structural steel, alloy steel, stainless steel, aluminum alloy, etc. The pickling process mainly removes the scale on the surface of the X32 hot-rolled strip steel to make the strip steel surface more pure.

[0003] During the pickling process, if there are scratches on the surface of the steel of the bimetal band saw, stress concentration cracking is likely to occur at this place during the subsequent rolling process, seriously affecting the service life of the steel of the bimetal band saw, such as the X32 back material. Summary of the Invention

[0004] Embodiments of this application provide a pickling method, device, equipment, readable storage medium and program product for strip steel to solve the technical problem of frequent scratching of strip steel during the pickling process.

[0005] In a first aspect, embodiments of this application provide a pickling method for strip steel, including:

[0006] Obtain the thickness of the scale on the strip steel to be pickled;

[0007] Generate strip steel data information for the strip steel to be pickled according to the carbon content, total alloy content and thickness in the strip steel to be pickled;

[0008] Input the strip steel data information into a preset pickling model to obtain a first pickling speed, a second pickling speed and a third pickling speed corresponding to the threading of the head of the strip steel to be pickled, pickling in the middle and tail flicking of the tail in sequence;

[0009] Control a pickling device to pickle the strip steel to be pickled according to the first pickling speed, the second pickling speed and the third pickling speed.

[0010] In some alternative embodiments, obtaining the thickness of the scale on the strip steel to be pickled includes:

[0011] Collect the actual thickness of the original scale on the strip steel to be pickled;

[0012] Obtain the historical thickness of the scale on the strip steel to be pickled according to the type of the strip steel to be pickled;

[0013] Compare and correct according to the actual thickness and the historical thickness to obtain the thickness of the scale on the strip steel to be pickled.

[0014] In some alternative embodiments, by comparing and correcting the actual thickness with the historical thickness, the thickness of the scale on the strip to be pickled is obtained, including:

[0015] When the difference between the actual thickness and the historical thickness meets the first preset condition, the thickness is the actual thickness;

[0016] When the difference between the actual thickness and the historical thickness meets the second preset condition, return the actual thickness of the original scale of the strip to be pickled and / or send a first alarm.

[0017] In some alternative embodiments, the method further includes:

[0018] Receiving a target input from the user, the target input including the first pickling running speed, the second pickling running speed, the third pickling running speed, and a correction factor;

[0019] In response to the target input, according to the first pickling running speed, the second pickling running speed, the third pickling running speed, the correction factor, and a pickling model, determining a first corrected pickling speed, a second corrected pickling speed, and a third corrected pickling speed;

[0020] Controlling a pickling device to pickle the strip to be pickled according to the first corrected pickling speed, the second corrected pickling speed, and the third corrected pickling speed.

[0021] In some alternative embodiments, the method further includes:

[0022] Obtaining historical data of the pickling model;

[0023] According to the strip data information, determining target strip pickling operation data from the historical data, and a first target pickling speed, a second target pickling speed, and a third target pickling speed corresponding to the target strip pickling operation data;

[0024] Comparing the first target pickling speed, the second target pickling speed, and the third target pickling speed with the first pickling speed, the second pickling speed, and the third pickling speed to obtain a comparison result;

[0025] When the comparison result does not match, correcting the first pickling speed, the second pickling speed, and the third pickling speed according to the first target pickling speed, the second target pickling speed, and the third target pickling speed to determine corresponding fourth corrected pickling speed, fifth corrected pickling speed, and sixth corrected pickling speed;

[0026] Controlling a pickling device to pickle the strip to be pickled according to the fourth corrected pickling speed, the fifth corrected pickling speed, and the sixth corrected pickling speed.

[0027] In some alternative embodiments, the strip data information includes a carbon content of 0.25% to 0.40% and a total alloy content of 6% to 8%.

[0028] Inputting the strip data information into a preset pickling model to obtain the first pickling speed, the second pickling speed, and the third pickling speed corresponding to the threading of the head of the strip to be pickled, the pickling in the middle part, and the tail flicking of the tail in sequence, including:

[0029] The first pickling speed and the second pickling speed are respectively 5 - 50 m / min, and the third pickling speed is 5 - 80 m / min.

[0030] In some alternative embodiments, the pickling equipment includes a plurality of conveyor rollers and a guide plate arranged between the conveyor rollers. The guide plate includes a support layer and a flexible layer, and the flexible layer is arranged on the side close to the strip to be pickled.

[0031] In some alternative embodiments, the radius of the conveyor roller is r; the distance in the vertical direction between the plane where the conveyor roller contacts the strip to be pickled and the surface of the side of the guide plate close to the strip is h, and the thickness of the flexible layer is d.

[0032] In some alternative embodiments, the method further includes: when the distance h is within a fourth preset range, controlling the pickling equipment to pickle the strip to be pickled.

[0033] In some alternative embodiments, the method further includes: when the condition r - (h + d / k) ≤ 25 mm is satisfied, controlling the pickling equipment to pickle the strip to be pickled, where the units of r, h, and d are respectively mm, and k is 2.5 - 5.

[0034] In a second aspect, an embodiment of the present application provides a pickling device for a strip, and the device includes:

[0035] An acquisition module, configured to acquire the thickness of the scale on the strip to be pickled;

[0036] A generation module, configured to generate strip data information of the strip to be pickled according to the carbon content, the total alloy content, and the thickness in the strip to be pickled;

[0037] A pickling speed determination module, configured to input the strip data information into a preset pickling model to obtain the first pickling speed, the second pickling speed, and the third pickling speed corresponding to the threading of the head of the strip to be pickled, the pickling in the middle part, and the tail flicking of the tail in sequence;

[0038] A control module, configured to control the pickling equipment to pickle the strip to be pickled according to the first pickling speed, the second pickling speed, and the third pickling speed.

[0039] In a third aspect, an embodiment of the present application provides an electronic device, and the device includes:

[0040] A processor and a memory storing a program or instructions;

[0041] When the processor executes the program or instructions, the above-mentioned method is implemented.

[0042] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instructions are stored, and when the program or instructions are executed by a processor, the above-mentioned method is implemented.

[0043] In a fifth aspect, an embodiment of the present application provides a computer program product. When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device is caused to execute the above-mentioned method.

[0044] The pickling method, device, equipment, readable storage medium and program product of the strip steel in the embodiment of the present application can obtain the thickness of the scale on the strip steel to be pickled; generate strip steel data information according to the carbon content, total alloy content and thickness in the strip steel to be pickled; input the strip steel data information into a preset pickling model to obtain the first pickling speed, the second pickling speed and the third pickling speed corresponding to the threading of the head of the strip steel to be pickled, pickling in the middle and tail flicking in sequence; control the pickling equipment to pickle the strip steel to be pickled according to the above speeds. In this way, the pickling speeds corresponding to different positions of the strip steel to be pickled can be determined based on a preset pickling model, and when calculating the pickling speed of the rolling pickling, the carbon content, alloy content and thickness of the scale of the strip steel to be pickled itself are considered at the same time, making the pickling speeds corresponding to different positions of the strip steel to be pickled more appropriate, improving the surface quality of the strip steel and reducing the quality risk; it also reduces the scratching caused by the contact with various guide plates due to too fast speed or poor strip steel stability during the pickling process of the strip steel, thereby reducing the incomplete removal of the scale during the pickling process of the strip steel to be pickled; it can also reduce the direct contact probability between the strip steel and the pickling equipment, especially the guide plate, and reduce the probability of scratching. Description of the Drawings

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required to be used in the embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative efforts.

[0046] Figure 1 It is a schematic flowchart of a pickling method for strip steel provided by an embodiment of the present application;

[0047] Figure 2 It shows a schematic diagram of the strip steel in the pickling process in the embodiment of the present application.

[0048] Figure 3 It shows the surface quality of the pickled strip steel in the embodiment of the present application and the comparative example.

[0049] Figure 4 It is a schematic structural diagram of a pickling device for strip steel provided by another embodiment of the present application;

[0050] Figure 5 It is a schematic structural diagram of an electronic device provided by yet another embodiment of the present application.

[0051] Description of the reference numerals:

[0052] 1. Strip steel; 2. Conveyor roller; 3. Guide plate; 31. Support layer; 32. Flexible layer 32; 401. Acquisition module; 402. Generation module; 403. Pickling speed determination module; 404. Control module. Detailed implementation manners

[0053] The features and exemplary embodiments of various aspects of the present application will be described in detail below. To make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

[0054] It should be noted that in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising..." does not exclude the existence of additional identical elements in the process, method, article or device comprising the element.

[0055] During the pickling process of the strip steel, it is affected by pickling equipment and related processes, resulting in poor surface quality of the strip steel. Generally speaking, there are significant differences in the rotational speeds of the conveyor rollers of the pickling equipment, and relative sliding will occur between the conveyor rollers of the strip steel, thus causing scratches and uneven frictional forces on the strip steel. When the strip steel runs on the pickling line, it needs to maintain a certain tension and be supported by a certain force. If the tension is too large, the strip steel will exert a large pressure on the conveying equipment, increasing the risk of scratches. Moreover, the steel strip is in direct contact with the guide strip or guide plate. During this supported process, the guide strip or guide plate may also cause local deformation of the strip steel during operation, changing the contact state between the strip steel and the equipment, and thus generating scratches.

[0056] To solve the problems of the prior art, the embodiments of the present application provide a pickling method, device, equipment, readable storage medium, and program product for strip steel. First, the pickling method for strip steel provided by the embodiments of the present application will be introduced below.

[0057] Figure 1 The flowchart of the pickling method for strip steel provided by an embodiment of the present application is shown. As Figure 1 shown, the embodiments of the present application provide a pickling method for strip steel, which may include the following steps: Step 100 to Step 400.

[0058] The specific implementation manners of each step will be described in detail below.

[0059] Step 100, obtain the thickness of the scale on the strip steel to be pickled.

[0060] In Step 100, the thickness of the scale on the strip steel to be pickled can be obtained, where the thickness of the scale can include the thickness of the scale at the head, middle, and tail of the strip steel. The head of the strip steel can be understood as the strip steel within 50 m from the start of uncoiling the steel coil or the strip steel accounting for 1 / 10 of the entire length of the strip steel from the starting part. The middle of the strip steel can be understood as the position 50 to 950 m in the running direction of the strip steel from the uncoiling position or the strip steel accounting for 1 / 10 to 9 / 10 of the entire length of the strip steel after the head position. The rear of the strip steel can be understood as the part after the middle of the strip steel in the running direction of the strip steel, such as the position 950 to 1000 m or the strip steel accounting for 1 / 10 of the entire length of the strip steel after the middle position. Alternatively, the head and tail of the strip steel are the parts of the strip steel that have not entered the pickling tank, and can also be the critical parts between the unentered and entered pickling tanks and the parts that have not entered the pickling tank. The middle of the strip steel can be the part that has completely entered the pickling tank.

[0061] Exemplarily, a laser triangulation measuring instrument can be used to collect the thickness of the scale, or the thickness of the scale can be obtained through input. Exemplarily, the thickness of the scale can be 5 μm to 500 μm.

[0062] The testing process of the laser triangulation measuring instrument includes: a laser beam irradiates the mill scale on the strip surface, and the reflected light is received by an optical sensor. Since the change in the thickness of the mill scale will cause the change in the position of the reflected light, the thickness of the mill scale can be accurately calculated through the trigonometric relationship.

[0063] As an example, the thickness of the strip can be 1.5 - 10 mm, and the width can be 900 - 2250 mm.

[0064] Step 200: Generate strip data information of the strip to be pickled according to the carbon content, total alloy content, and thickness in the strip to be pickled.

[0065] Through research, it is found that the carbon content and total alloy content in the strip to be pickled affect the pickling difficulty of the mill scale on the strip and the surface quality of the strip. The reasons are as follows: The carbon content and total alloy content in the strip to be pickled determine the mechanical properties of the strip, as well as the composition and thickness of the mill scale. Therefore, strips with different carbon contents and total alloy contents have different pickling difficulties. When the pickling difficulty does not match the pickling speed, etc., it will affect the pickling efficiency, and may also cause incomplete pickling or scratches on the strip surface, affecting the strip quality.

[0066] Exemplarily, the strip to be pickled can be a steel grade of bimetal back strip X32. The strip to be pickled includes the following chemical components by mass percentage: C: 0.25% - 0.40%, Si: 0.1% - 0.50%, Mn: 0.1 - 1.5%, P: ≤0.02%, S: ≤0.02%, Cr: 3.5 - 4.5%, Mo: 1.0 - 2.0%, Ni: 0.5 - 1.5%, V: ≤0.5%, Al: ≤0.06%, and the rest are Fe and inevitable impurities.

[0067] Step 300: Input the strip data information into a preset pickling model to obtain the first pickling speed, second pickling speed, and third pickling speed corresponding to the threading of the head of the strip to be pickled, pickling in the middle, and tail flicking of the strip to be pickled, respectively.

[0068] In this step, the preset pickling model can be any model used to calculate pickling parameters in the prior art, such as the pickling rate at different positions. The pickling rate at different positions is not specifically limited here. When the strip data information is input into the preset pickling model, the pickling rates at different positions corresponding to the pickled strip can be obtained by combining other predetermined input parameter values in the pickling model. The position can be determined based on the overall length of the strip.

[0069] Step 400: Control the pickling equipment to pickle the strip to be pickled according to the first pickling speed, second pickling speed, and third pickling speed.

[0070] In some alternative embodiments, step 100 of obtaining the thickness of the scale on the strip to be pickled specifically includes:

[0071] Step 101 of collecting the actual thickness of the original scale on the strip to be pickled;

[0072] Step 102 of obtaining the historical thickness of the scale on the strip to be pickled according to the type of the strip to be pickled;

[0073] Step 103 of comparing and correcting based on the actual thickness and the historical thickness to obtain the thickness of the scale on the strip to be pickled.

[0074] By obtaining, comparing and correcting according to the thickness of the scale on the strip to be pickled, if it is found that the thickness of the scale is significantly mismatched or incorrect, corresponding measures can be taken in time. For example, correction is carried out using a coefficient to further reduce the phenomenon of poor surface quality such as scratches during the pickling process of the strip to be pickled.

[0075] In some alternative embodiments, step 103 of comparing and correcting based on the actual thickness and the historical thickness to obtain the thickness of the scale on the strip to be pickled specifically includes:

[0076] Step 1031 where, when the difference between the actual thickness and the historical thickness meets the first preset condition, the thickness is the actual thickness;

[0077] In this step, the first preset condition can be understood as the difference between the actual thickness and the historical thickness being below 5 mm, optionally below 3 mm. The determination of the first preset condition can be based on the ratio of the difference to the actual thickness.

[0078] Step 1032 where, when the difference between the actual thickness and the historical thickness meets the second preset condition, return to collect the actual thickness of the original scale on the strip to be pickled and / or send a first alarm.

[0079] In this step, the second preset condition can be understood as the difference between the actual thickness and the historical thickness being greater than 5 mm, optionally greater than 3 mm. The determination of the second preset condition can be based on the ratio of the difference to the actual thickness.

[0080] In some alternative embodiments, the strip data information includes a carbon content of 0.25% to 0.40% and a total alloy content of 6% to 8%;

[0081] Correspondingly, step 300 of inputting the strip data information into a preset pickling model to obtain the first pickling speed, the second pickling speed, and the third pickling speed corresponding to the threading of the head of the strip to be pickled, pickling in the middle, and tail whipping of the strip to be pickled specifically includes:

[0082] The first pickling speed and the second pickling speed are 5 - 50 m / min respectively, and the third pickling speed is 5 - 80 m / min.

[0083] Example 1, the chemical composition and its mass percentage of the X32 strip are as follows: C: 0.28%, Si: 0.19%, Mn: 0.98%, S: 0.002%, P: 0.01%, Al: 0.03%, Cr: 3.8%, Ni: 0.8%, Mo: 1.2%, V: 0.2%, and the rest are Fe and inevitable impurities; the thickness of the strip is 3 mm.

[0084] Example 2, the chemical composition and its mass percentage of the X32 strip are as follows: C: 0.32%, Si: 0.20%, Mn: 1.21%, S: 0.0015%, P: 0.01%, Al: 0.03%, Cr: 4.1%, Ni: 0.6%, Mo: 1.7%, V: 0.3%, and the rest are Fe and inevitable impurities. The specifications of the strip are 5.5 mm × 2250 mm × full length.

[0085] The following examples and comparative examples adopt the chemical composition of the strip in Example 1, and the operating parameters of the strip are shown in Tables 1 and 2.

[0086] In Table 1, the radius of the conveyor roller is 60 mm; the vertical distance between the plane of the conveyor roller in contact with the strip to be pickled and the surface of the guide plate close to the strip is 33 mm, and the conveyor roller is not lifted. The guide plate is pasted with a 4.5 - mm - thick wool felt.

[0087] Table 1

[0088]

[0089] In Table 2, the pickling operating parameters of the steel strip in the example are the same as those in Example 2. The difference is the height of the conveyor roller lifted, the corresponding change in the distance h, and whether the guide plate is pasted with wool felt. Specifically as shown in Table 2.

[0090] Table 2

[0091]

[0092] It can be seen from Tables 1 and 2 that by controlling the pickling rates of the head, middle, and tail during the pickling process of the X32 hot - rolled coil, and at the same time raising the axial height of the conveyor roller during the conveying process and pasting or wrapping wool felt on all guide plates, the surface scratches of the X32 strip have been significantly improved, while there are obvious scratches in the comparative example. Through the adjustment of the above measures, the strip can effectively reduce the direct contact with the guide plate during the pickling process, reduce the severity of the scratches, thereby effectively reducing the scratch defects of X32 and improving the surface quality of the strip.

[0093] In some alternative embodiments, the method further includes:

[0094] Step 500: Receive a target input from the user, where the target input includes the first pickling running speed, the second pickling running speed, the third pickling running speed, and a correction factor;

[0095] Step 600: In response to the target input, determine a first corrected pickling speed, a second corrected pickling speed, and a third corrected pickling speed according to the first pickling running speed, the second pickling running speed, the third pickling running speed, the correction factor, and the pickling model;

[0096] Step 700: Control the pickling equipment to pickle the strip to be pickled according to the first corrected pickling speed, the second corrected pickling speed, and the third corrected pickling speed.

[0097] In the embodiments of the present application, if the user finds that the pickling rates of the strip at different positions output by the pickling model are significantly mismatched, corresponding operations can be performed, such as correcting the strip at different positions at the user operation end. That is, for the target input, the target input may include a correction factor and the pickling rates of the strip to be pickled at different positions, namely the first pickling running speed, the second pickling running speed, and the third pickling running speed. It can be understood that the correction factors for the pickling rates at different positions may have the same or different values at different positions, and specifically, they can be set by the user based on the target steel grade, its composition, and the thickness of the scale in combination with empirical values.

[0098] In step 600, in response to the target input, the pickling rates of the strip to be pickled at different positions output by the pickling model can be fine-tuned according to the correction factor, so as to control the pickling equipment to pickle the strip to be pickled.

[0099] In the embodiments of the present application, if the user observes that the pickling rates of the strip to be pickled at different positions output by the secondary pickling model are significantly mismatched with the current steel grade situation, the pickling rate can be manually corrected, further improving the pickling rate and the surface quality of the strip.

[0100] In some alternative embodiments, the method further includes:

[0101] Step 800: Obtain historical data of the pickling model;

[0102] Step 810: Determine target strip pickling operation data from the historical data according to the strip data information, and the corresponding first target pickling speed, second target pickling speed, and third target pickling speed of the target strip pickling operation data;

[0103] Step 820: Compare the first target pickling speed, the second target pickling speed, and the third target pickling speed with the first pickling speed, the second pickling speed, and the third pickling speed to obtain a comparison result;

[0104] Correspondingly, step 300 may include:

[0105] Step 310: In the case of, correct the first pickling speed, the second pickling speed, and the third pickling speed according to the first target pickling speed, the second target pickling speed, and the third target pickling speed to determine the corresponding fourth corrected pickling speed, fifth corrected pickling speed, and sixth corrected pickling speed;

[0106] Correspondingly, step 400 may include: Step 410: Control the pickling equipment to pickle the strip to be pickled according to the fourth corrected pickling speed, the fifth corrected pickling speed, and the sixth corrected pickling speed.

[0107] In the embodiment of the present application, the pickling data matrix input each time by the pickling model and the pickling rates at different positions of the strip to be pickled corresponding to the output can be associated and stored to form the historical data of the pickling model. During the pickling process, after inputting the strip data information into the pickling model to obtain the pickling rates at different positions corresponding to the strip to be pickled, these historical data can be obtained, and then according to the strip information data, the pickling rates at different positions matching the strip data information can be determined from the historical data.

[0108] Exemplarily, the target strip data information with a similarity greater than the preset threshold to the strip data information can be found from the historical data. For example, the target strip data information may include the carbon content, total alloy content, and thickness of the scale in the strip to be pickled.

[0109] In step 820, the first target pickling speed, the second target pickling speed, and the third target pickling speed can be compared with the first pickling speed, the second pickling speed, and the third pickling speed. Exemplarily, if any one of the first target pickling speed, the second target pickling speed, and the third target pickling speed differs too much from the corresponding first pickling speed, second pickling speed, and third pickling speed, such as the difference is greater than 10 m / min and the feasible range is greater than 8 m / min, the comparison result can be considered unmatched.

[0110] In step 310, in the case of an unmatched comparison result, the first pickling speed, the second pickling speed, and the third pickling speed can be corrected according to the first target pickling speed, the second target pickling speed, and the third target pickling speed. For example, the fourth corrected pickling speed can correspond to the average value of the first target pickling speed and the first pickling speed. Similarly, the pickling rates at other positions can be obtained to achieve pickling.

[0111] In this step, the pickling speed of the first pickling, the second pickling speed, and the third pickling speed can be corrected according to a coefficient. The coefficient can be from 0.7 to 1.5, optionally from 0.7 to 0.95, and preferably from 1.1 to 1.3. The coefficient can be determined according to the comparison result.

[0112] In the embodiment of the present application, the pickling rate at different positions of the strip to be pickled output by the pickling model can be corrected according to the historical data of the pickling model, which further improves the pickling efficiency, has a higher degree of automation, and effectively improves the surface quality of the strip.

[0113] In some alternative embodiments, the pickling equipment includes a plurality of conveyor rollers and a guide plate disposed between the conveyor rollers. The guide plate includes a support layer and a flexible layer, and the flexible layer is disposed on the side close to the strip to be pickled.

[0114] The flexible layer can be a soft felt such as a wool felt. This kind of soft felt is pasted or wrapped on the support layer. The support layer can be a traditional guide plate, that is, a steel plate, a wooden board, etc. The flexible layer can be provided at the inlet, outlet, and the guide plate of the strip during pickling. Thus, the direct contact probability between the strip and the guide plate can be reduced, such as during threading, conveying, and coiling, and the probability of the strip being scratched is reduced.

[0115] In some alternative embodiments, the radius of the conveyor roller is r; the distance in the vertical direction between the plane of the conveyor roller in contact with the strip to be pickled and the surface of the guide plate close to the strip is h. Exemplarily, h can be 30 to 40 mm.

[0116] In some alternative embodiments, the guide plate includes a support portion and a flexible layer, and the flexible layer is disposed on the side close to the strip to be pickled. The thickness of the flexible layer is d. d can be 3 to 15 mm, optionally 10 mm.

[0117] In some alternative embodiments, the method further includes: when the distance h is within a fourth preset range, controlling the pickling equipment to pickle the strip to be pickled.

[0118] The distance h being within the fourth preset range can be achieved by raising the axis height of the conveyor roller by 1 to 25 mm, optionally 2 to 20 mm, on the basis of the original height of about 60 mm, or by lowering the guide plate by 1 to 20 mm, optionally 2 to 20 mm. Raising all the conveyor rollers from the pickling tank outlet to before the coiler can make the distance h within the fourth preset range, thereby reducing the probability of abrasion caused by the contact between the strip and the guide plate.

[0119] In some alternative embodiments, the method further includes: controlling the pickling equipment to pickle the strip to be pickled under the condition that r - (h + d / k) ≤ 25 mm, where the units of r, h, and d are mm respectively, and k is 2.5 to 5. k is the compression coefficient of a flexible layer such as a wool felt after contacting the strip. Thus, on the basis of considering pickling efficiency, the probability of abrasion caused by the contact between the strip and the guide plate can be reduced.

[0120] Figure 2 The schematic diagram of the strip in the pickling process according to the embodiment of the present application is shown.

[0121] Please refer to Figure 2 , in the pickling process of the strip 1, the conveying roller 2 conveys the strip 1, and the guide plate 3 includes a support layer 31 and a flexible layer 32. The radius of the conveying roller 2 is r, and the distance between the guide plate and the strip is h.

[0122] Figure 3 The surface quality of the pickled strip according to the embodiment of the present application and the comparative example is shown. Figure 3 In the right figure in [reference], it is the strip appearance diagram of Comparative Example 1, with multiple abrasions on the surface; in the left figure, it is the strip appearance diagram of Embodiment 1, with better surface quality. It shows that the method of the present application improves the surface quality of the strip.

[0123] Based on the pickling method of the strip provided in the above embodiments, the present application also provides an embodiment of a pickling device for the strip.

[0124] Figure 4 The structural schematic diagram of the pickling device for the strip provided in another embodiment of the present application is shown. For the sake of convenience of description, only the parts related to the embodiment of the present application are shown.

[0125] Referring to Figure 4 , the pickling device for the strip may include: an acquisition module 401, a generation module 402, a pickling speed determination module 403, and a control module 404.

[0126] The acquisition module 401 is configured to acquire the thickness of the mill scale on the strip to be pickled.

[0127] The generation module 402 is configured to generate strip data information of the strip to be pickled according to the carbon content, total alloy content, and thickness in the strip to be pickled.

[0128] The pickling speed determination module 403 is configured to input the strip data information into a preset pickling model to obtain a first pickling speed, a second pickling speed, and a third pickling speed corresponding to the threading of the head of the strip to be pickled, pickling in the middle, and tail flicking at the tail in sequence.

[0129] The control module 404 is configured to control the pickling equipment to pickle the strip to be pickled according to the first pickling speed, the second pickling speed, and the third pickling speed.

[0130] In some alternative embodiments, the obtaining module 401 specifically includes:

[0131] A collecting module, configured to collect the actual thickness of the original scale on the strip to be pickled;

[0132] A first historical data obtaining module, configured to obtain the historical thickness of the scale of the strip to be pickled according to the type of the strip to be pickled;

[0133] A first correction module, configured to compare and correct according to the actual thickness and the historical thickness to obtain the thickness of the scale of the strip to be pickled.

[0134] In some alternative embodiments, the correction module specifically includes:

[0135] A first thickness determination module, configured to set the thickness as the actual thickness when the difference between the actual thickness and the historical thickness meets a first preset condition;

[0136] A second thickness determination module, configured to return the actual thickness of the original scale of the strip to be pickled and / or send a first alarm when the difference between the actual thickness and the historical thickness meets a second preset condition.

[0137] In some alternative embodiments, the pickling device further includes:

[0138] A receiving module, configured to receive a target input from a user, where the target input includes a first pickling operation speed, a second pickling operation speed, a third pickling operation speed, and a correction coefficient;

[0139] A first pickling speed determination module, configured to respond to the target input and determine a first corrected pickling speed, a second corrected pickling speed, and a third corrected pickling speed according to the first pickling operation speed, the second pickling operation speed, the third pickling operation speed, the correction coefficient, and a pickling model;

[0140] A first pickling execution module, configured to control a pickling device to pickle the strip to be pickled according to the first corrected pickling speed, the second corrected pickling speed, and the third corrected pickling speed.

[0141] In some alternative embodiments, the pickling device further includes:

[0142] A second historical data obtaining module, configured to obtain historical data of the pickling model;

[0143] A pickling speed extraction module, configured to determine target strip pickling operation data from the historical data according to strip data information, and a first target pickling speed, a second target pickling speed, and a third target pickling speed corresponding to the target strip pickling operation data;

[0144] A comparison module for comparing the first target pickling speed, the second target pickling speed, and the third target pickling speed with the first pickling speed, the second pickling speed, and the third pickling speed to obtain a comparison result;

[0145] Correspondingly, the pickling speed determination module 403 specifically includes:

[0146] A second pickling speed determination module for, in the case where the comparison result does not match, correcting the first pickling speed, the second pickling speed, and the third pickling speed according to the first target pickling speed, the second target pickling speed, and the third target pickling speed to determine the corresponding fourth corrected pickling speed, fifth corrected pickling speed, and sixth corrected pickling speed;

[0147] This step can be carried out by using a pickling model.

[0148] Correspondingly, the control module 404 specifically includes: a second pickling execution module for controlling the pickling equipment to pickle the strip to be pickled according to the fourth corrected pickling speed, the fifth corrected pickling speed, and the sixth corrected pickling speed.

[0149] In some alternative embodiments, the strip data information includes a carbon content of 0.25% to 0.40% and a total alloy content of 6% to 8%;

[0150] The pickling speed determination module 403 for inputting the strip data information into a preset pickling model to obtain the first pickling speed, the second pickling speed, and the third pickling speed corresponding to the threading of the head of the strip to be pickled, pickling in the middle, and tail flicking in sequence, specifically includes:

[0151] The first pickling speed and the second pickling speed are respectively 5 - 50 m / min, and the third pickling speed is 5 - 80 m / min.

[0152] In some alternative embodiments, the pickling equipment includes a plurality of conveyor rollers and a guide plate arranged between the conveyor rollers. The guide plate includes a support layer and a flexible layer, and the flexible layer is arranged on the side close to the strip to be pickled.

[0153] In some alternative embodiments, the radius of the conveyor roller is r; the distance in the vertical direction between the plane where the conveyor roller contacts the strip to be pickled and the surface of the side of the guide plate close to the strip is h, and the thickness of the flexible layer is d.

[0154] In some alternative embodiments, the control module 404 specifically includes: a third pickling execution module for controlling the pickling equipment to pickle the strip to be pickled when the distance h is within a fourth preset range.

[0155] In some alternative embodiments, the control module 404 specifically includes: a fourth pickling execution module, which controls the pickling equipment to pickle the strip to be pickled under the condition that r-(h+d / k)≤25mm, where the units of r, h, and d are mm respectively, and k is 2.5 to 5.

[0156] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiments of the present application, and are devices corresponding to the pickling method of the above strip. All implementation manners in the above method embodiments are applicable to the embodiments of this device. For its specific functions and the technical effects brought, please refer to the method embodiment part, which will not be elaborated here.

[0157] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiments, which will not be elaborated here.

[0158] Figure 5 Fig. shows a schematic hardware structure diagram of an electronic device provided by another embodiment of the present application.

[0159] The device may include a processor 501 and a memory 502 storing programs or instructions.

[0160] When the processor 501 executes the program, it implements the steps in any of the above method embodiments.

[0161] Exemplarily, the program can be divided into one or more modules / units, and one or more modules / units are stored in the memory 502 and executed by the processor 501 to complete the present application. One or more modules / units can be a series of program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the program in the device.

[0162] Specifically, the above-mentioned processor 501 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured as one or more integrated circuits for implementing the embodiments of the present application.

[0163] The memory 502 may include a mass storage for data or instructions. By way of example and not limitation, the memory 502 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disc, a magneto-optical disc, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. In a suitable case, the memory 502 may include a removable or non-removable (or fixed) medium. In a suitable case, the memory 502 may be internal or external to the integrated gateway disaster recovery device. In a specific embodiment, the memory 502 is a non-volatile solid-state memory.

[0164] The memory may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical, or other physical / tangible memory storage device. Thus, generally, the memory includes one or more tangible (non-transitory) readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to an aspect of the present disclosure.

[0165] The processor 501 reads and executes the programs or instructions stored in the memory 502 to implement any one of the methods in the above embodiments.

[0166] In one example, the electronic device may further include a communication interface 503 and a bus 504. Among them, the processor 501, the memory 502, and the communication interface 503 are connected through the bus 504 to complete the communication with each other.

[0167] The communication interface 503 is mainly used to implement the communication between the modules, devices, units, and / or devices in the embodiments of the present application.

[0168] The bus 504 includes hardware, software, or both, and couples the components of the online data flow metering device to each other. By way of example and not limitation, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or a combination of two or more of these. Where appropriate, the bus 504 may include one or more buses. Although the embodiments of the present application describe and illustrate specific buses, the present application contemplates any suitable bus or interconnect.

[0169] In addition, in combination with the methods in the above embodiments, the embodiments of the present application can be implemented by providing a readable storage medium. A program or instructions are stored on the readable storage medium; when the program or instructions are executed by a processor, any one of the methods in the above embodiments is implemented. The readable storage medium can be read by a machine such as a computer.

[0170] The embodiments of the present application further provide a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is configured to run a program or instructions to implement each process of the above method embodiments and can achieve the same technical effects. To avoid repetition, it will not be described in detail here.

[0171] It should be understood that the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, a system chip, a chip system, or a system-on-chip.

[0172] The embodiments of the present application provide a computer program product, which is stored in a readable storage medium. The program product is executed by at least one processor to implement each process of the above method embodiments and can achieve the same technical effects. To avoid repetition, it will not be described in detail here.

[0173] It should be clear that the present application is not limited to the specific configurations and processes described above and illustrated in the figures. For the sake of brevity, the detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and illustrated as examples. However, the method process of the present application is not limited to the specific steps described and illustrated. Those skilled in the art can make various changes, modifications, and additions, or change the order between steps after understanding the spirit of the present application.

[0174] The functional modules shown in the above structural block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a functional card, and so on. When implemented in software, the elements of the present application are programs or code segments used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted via a data signal carried in a carrier wave over a transmission medium or a communication link. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical discs, hard disks, fiber optic media, radio frequency (RF) links, and so on. The code segment can be downloaded via a computer network such as the Internet, an intranet, and so on.

[0175] It should also be noted that the exemplary embodiments mentioned in the present application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above steps, that is, the steps can be executed in the order mentioned in the embodiments, or different from the order in the embodiments, or several steps can be executed simultaneously.

[0176] As described above with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and program products according to embodiments of the present disclosure. It should be understood that each block in the flowchart and / or block diagram, and the combination of blocks in the flowchart and / or block diagram, can be implemented by computer programs or instructions. These programs or instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device to generate a machine such that these instructions executed by the processor of the computer or other programmable data processing device enable the implementation of the functions / actions specified in one or more blocks of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic circuit. It is also understood that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, can also be implemented by dedicated hardware that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0177] As mentioned above, the above is only the specific implementation manner of the present application. Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, modules, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein. It should be understood that the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of the present application.

Claims

1. A pickling method for strip steel, characterized in that, Including: Obtain the thickness of the scale on the strip to be pickled. Generate strip data information of the strip to be pickled according to the carbon content and total alloy content in the strip to be pickled and the thickness. Input the strip data information into a preset pickling model to obtain the first pickling speed, the second pickling speed, and the third pickling speed corresponding to the threading of the head of the strip to be pickled, pickling in the middle, and tail flicking of the strip to be pickled in sequence. Control the pickling equipment to pickle the strip to be pickled according to the first pickling speed, the second pickling speed, and the third pickling speed.

2. The method according to claim 1, characterized in that, The obtaining the thickness of the scale on the strip to be pickled includes: Collect the actual thickness of the original scale on the strip to be pickled. Obtain the historical thickness of the scale on the strip to be pickled according to the type of the strip to be pickled. Compare and correct according to the actual thickness and the historical thickness to obtain the thickness of the scale on the strip to be pickled.

3. The method according to claim 2, wherein The comparing and correcting according to the actual thickness and the historical thickness to obtain the thickness of the scale on the strip to be pickled includes: When the difference between the actual thickness and the historical thickness meets the first preset condition, the thickness is the actual thickness. When the difference between the actual thickness and the historical thickness meets the second preset condition, return the actual thickness of the original scale on the strip to be pickled and / or send a first alarm.

4. The method according to claim 1, characterized in that, The method further includes: Receive the target input of the user, where the target input includes the first pickling operating speed, the second pickling operating speed, the third pickling operating speed, and a correction coefficient. In response to the target input, determine the first corrected pickling speed, the second corrected pickling speed, and the third corrected pickling speed according to the first pickling operating speed, the second pickling operating speed, the third pickling operating speed, the correction coefficient, and the pickling model. Control the pickling equipment to pickle the strip to be pickled according to the first corrected pickling speed, the second corrected pickling speed, and the third corrected pickling speed.

5. The method according to claim 1, wherein The method further includes: Obtain the historical data of the pickling model. Determine the target strip pickling operation data from the historical data according to the strip data information, and the first target pickling speed, the second target pickling speed, and the third target pickling speed corresponding to the target strip pickling operation data. Compare the first target pickling speed, the second target pickling speed, and the third target pickling speed with the first pickling speed, the second pickling speed, and the third pickling speed to obtain a comparison result. When the comparison result does not match, correct the first pickling speed, the second pickling speed, and the third pickling speed according to the first target pickling speed, the second target pickling speed, and the third target pickling speed to determine the corresponding fourth corrected pickling speed, fifth corrected pickling speed, and sixth corrected pickling speed. Control the pickling equipment to pickle the strip to be pickled according to the fourth corrected pickling speed, the fifth corrected pickling speed, and the sixth corrected pickling speed.

6. The method according to claim 1, characterized in that The strip data information includes that the carbon content is 0.25% to 0.40% and the total alloy content is 6% to 8%. Inputting the strip data information into a preset pickling model to obtain the first pickling speed, the second pickling speed, and the third pickling speed corresponding to the threading of the head of the strip to be pickled, the pickling in the middle, and the tail flicking of the tail in sequence, includes: The first pickling speed and the second pickling speed are respectively 5 - 50 m / min, and the third pickling speed is 5 - 80 m / min.

7. The method according to claim 1, wherein The pickling equipment includes a plurality of conveyor rollers and a guide plate arranged between the conveyor rollers. The guide plate includes a support layer and a flexible layer, and the flexible layer is arranged on the side close to the strip to be pickled.

8. The method according to claim 7, wherein The radius of the conveyor roller is r; the distance in the vertical direction between the plane where the conveyor roller contacts the strip to be pickled and the surface of the side of the guide plate close to the strip is h, and the thickness of the flexible layer is d. The method further includes: When the distance h is within a fourth preset range, controlling the pickling equipment to pickle the strip to be pickled; and / or When the condition r - (h + d / k) ≤ 25 mm is satisfied, controlling the pickling equipment to pickle the strip to be pickled, where the units of r, h, and d are respectively mm, and k is 2.5 - 5.

9. An acid pickling device for strip steel, characterized in that, The device includes: An acquisition module, configured to acquire the thickness of the mill scale on the strip to be pickled; A generation module, configured to generate the strip data information of the strip to be pickled according to the carbon content, the total alloy content, and the thickness in the strip to be pickled; A pickling speed determination module, configured to input the strip data information into a preset pickling model to obtain the first pickling speed, the second pickling speed, and the third pickling speed corresponding to the threading of the head of the strip to be pickled, the pickling in the middle, and the tail flicking of the tail in sequence; A control module, configured to control the pickling equipment to pickle the strip to be pickled according to the first pickling speed, the second pickling speed, and the third pickling speed.

10. An electronic device, characterized in that, The equipment includes: a processor and a memory storing programs or instructions; When the processor executes the programs or instructions, the method described in any one of claims 1 - 8 is implemented.

11. A readable storage medium, characterized in that, Programs or instructions are stored on the readable storage medium, and when the programs or instructions are executed by the processor, the method described in any one of claims 1 - 8 is implemented.

12. A computer program product, characterized in that, When the instructions in the computer program product are executed by the processor of the electronic device, the electronic device executes the method described in any one of claims 1 - 8.

Images