CN113059007B - Method and device for positioning surface defects of rolled piece - Google Patents

Method and device for positioning surface defects of rolled piece Download PDF

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CN113059007B
CN113059007B CN202110220322.7A CN202110220322A CN113059007B CN 113059007 B CN113059007 B CN 113059007B CN 202110220322 A CN202110220322 A CN 202110220322A CN 113059007 B CN113059007 B CN 113059007B
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rolling mill
identification
thickness
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CN113059007A (en
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熊雯
徐希义
蔡海斌
王喆
赵雪松
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Wuhan Iron and Steel Co Ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
    • B21B38/04—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product for measuring thickness, width, diameter or other transverse dimensions of the product
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/16—Control of thickness, width, diameter or other transverse dimensions
    • B21B37/165—Control of thickness, width, diameter or other transverse dimensions responsive mainly to the measured thickness of the product
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/16—Control of thickness, width, diameter or other transverse dimensions
    • B21B37/22—Lateral spread control; Width control, e.g. by edge rolling
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/28—Control of flatness or profile during rolling of strip, sheets or plates
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • Mechanical Engineering (AREA)
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Abstract

The invention discloses a method and a device for positioning surface defects of rolled pieces, wherein the method comprises the following steps: acquiring size data of defects on a rolled piece, inlet thicknesses of the rolled piece at a plurality of rolling mill inlets, outlet thicknesses of the rolled piece at a tail rolling mill outlet and compensation coefficients of each rolling mill; obtaining identification parameters according to the size data; obtaining an identification interval of each rolling mill according to the outlet thickness, the inlet thickness and the compensation coefficient; wherein the identification interval of the current rolling mill corresponds to the rolling interval between the current rolling mill inlet and the previous rolling mill outlet; and obtaining a rolling interval in which the defect is located according to the identification interval in which the identification parameter is located. The invention can rapidly and accurately identify and position the defects on the rolled piece, ensures the timely treatment of the defects of the rolled piece, does not generate extra equipment loss, and saves the production cost.

Description

Method and device for positioning surface defects of rolled piece
Technical Field
The invention relates to the technical field of steel rolling, in particular to a method and a device for positioning surface defects of rolled pieces.
Background
In the hot rolling process, the secondary scale on the surface of the rolled material can be separated from the surface of the rolled material along with the extrusion of a roller, and a large amount of scale dust is generated. The dust particle size ranges from 0.62 μm to 117.13 μm, and the median particle size is about 21.73 μm. Dust can be dusted and spread around a rolling mill and in a factory under the action of air heat convection. The temperature and humidity around the hot rolling mill are higher, the scaling of dust on mill housing, guide position and other mill components is further promoted, when the mixture of metal dust, water, oil and other substances is accumulated between the frames to a certain degree, the mixture can fall onto the surface of a rolled piece, and the mixture is embedded into the surface of the rolled piece through subsequent rolling and rolling, so that the surface defects of the steel strip are formed. In order to ensure the final quality of the rolling of the rolled pieces, the surface defects on the rolled pieces need to be removed quickly, and the defects need to be positioned accurately before the surface defects are removed. Therefore, how to quickly and accurately identify and locate defects on the surface of a rolled piece is a problem to be solved.
Disclosure of Invention
In view of the above problems, the invention provides a method and a device for positioning the surface defects of a rolled piece, which can rapidly and accurately identify and position the defects on the rolled piece, ensure the timely treatment of the defects of the rolled piece, avoid the generation of extra equipment loss and save the production cost.
In a first aspect, the present application provides, by way of an embodiment, the following technical solutions:
a method for locating surface defects of a rolled piece, comprising:
acquiring size data of defects on a rolled piece, inlet thicknesses of the rolled piece at a plurality of rolling mill inlets, outlet thicknesses of the rolled piece at a tail rolling mill outlet and compensation coefficients of each rolling mill; obtaining identification parameters according to the size data; obtaining an identification interval of each rolling mill according to the outlet thickness, the inlet thickness and the compensation coefficient; wherein the identification interval of the current rolling mill corresponds to the rolling interval between the current rolling mill inlet and the previous rolling mill outlet; and obtaining a rolling interval in which the defect is located according to the identification interval in which the identification parameter is located.
Optionally, the size data includes a defect length and a defect width, wherein the defect length is a size of the defect in a rolling direction of the rolled piece, and the defect width is a size perpendicular to the rolling direction of the rolled piece; the obtaining the identification parameters according to the size data comprises the following steps:
and obtaining the identification parameters according to the defect length and the defect width.
Optionally, the obtaining the identification parameter according to the defect length and the defect width includes:
according to the formula
Figure GDA0003159486730000021
Obtaining the identification parameters; where a is the defect length and b is the defect width.
Optionally, the obtaining the identification interval of each rolling mill according to the outlet thickness, the inlet thickness and the compensation coefficient includes:
obtaining a first identification boundary value according to the outlet thickness, the inlet thickness of the target rolling mill and the compensation coefficient of the target rolling mill; the first identification boundary value is the identification boundary value of the target rolling mill; if the target rolling mill is the first rolling mill, acquiring an identification interval of the target rolling mill according to the identification boundary value of the target rolling mill; if the target rolling mill is a rolling mill behind the first rolling mill, acquiring an identification interval of the target rolling mill according to the first identification boundary value and the second identification boundary value; the second identified boundary value is an identified boundary value of a rolling mill preceding the target rolling mill.
Optionally, the obtaining a first identification boundary value according to the outlet thickness, the inlet thickness of the target rolling mill and the compensation coefficient of the target rolling mill includes:
obtaining a thickness variation ratio according to the outlet thickness and the inlet thickness of the target rolling mill; and obtaining the first identification boundary value according to the thickness variation ratio and the compensation coefficient of the target rolling mill.
Optionally, the obtaining a first identification boundary value according to the outlet thickness, the inlet thickness of the target rolling mill and the compensation coefficient of the target rolling mill includes:
according to the formula
Figure GDA0003159486730000031
Obtaining a first identification boundary value; wherein n is the nth target rolling mill, h n is in For the inlet thickness of the target rolling mill, h Out of For final mill exit thickness, delta n And the compensation coefficient of the target rolling mill.
In a second aspect, based on the same inventive concept, the present application provides, by way of an embodiment, the following technical solutions:
a workpiece surface defect locating apparatus comprising:
the device comprises an acquisition module, a compensation module and a control module, wherein the acquisition module is used for acquiring size data of defects on a rolled piece, the thickness of the rolled piece at inlets of a plurality of rolling mills, the thickness of the rolled piece at an outlet of a last rolling mill and the compensation coefficient of each rolling mill; the first data processing module is used for obtaining identification parameters according to the size data; the second data processing module is used for obtaining an identification interval of each rolling mill according to the outlet thickness, the inlet thickness and the compensation coefficient; wherein the identification interval of the current rolling mill corresponds to the rolling interval between the current rolling mill inlet and the previous rolling mill outlet; and the identification module is used for obtaining the rolling interval where the defect is located according to the identification interval where the identification parameter is located.
Optionally, the size data includes a defect length and a defect width, wherein the defect length is a size of the defect in a rolling direction of the rolled piece, and the defect width is a size perpendicular to the rolling direction of the rolled piece; the first data processing module is specifically configured to:
and obtaining the identification parameters according to the defect length and the defect width.
Optionally, the first data processing module is further specifically configured to:
according to the formula
Figure GDA0003159486730000032
Obtaining the identification parameters; where a is the defect length and b is the defect width.
In a third aspect, based on the same inventive concept, the present application provides, by way of an embodiment, the following technical solutions:
a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the method of any of the first aspects above.
According to the method and the device for positioning the surface defects of the rolled piece, provided by the embodiment of the invention, through obtaining the size data of the defects on the rolled piece, the thickness of the rolled piece at the inlets of a plurality of rolling mill inlets, the thickness of the rolled piece at the outlet of the last rolling mill outlet and the compensation coefficient of each rolling mill are respectively obtained; then, based on the dimensional data, identification parameters are obtained by means of which defects can be associated with the rolling mill being passed. Further, according to the outlet thickness, the inlet thickness and the compensation coefficient, an identification interval of each rolling mill is obtained; the identification interval of the current rolling mill corresponds to a rolling interval between the inlet of the current rolling mill and the outlet of the previous rolling mill, so that the rolling interval is represented through the identification interval, and data representation of the rolling interval is realized. Finally, according to the identification interval where the identification parameter is located, the rolling interval where the defect is located can be obtained, and therefore accurate positioning of the defect is achieved. Therefore, the method of the embodiment can rapidly and accurately identify and position the defects on the rolled piece, and ensures the timely treatment of the defects of the rolled piece. In addition, the method does not need to install additional image or visual identification equipment between rolling mills, equipment loss is avoided, and production cost is saved.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. In the drawings:
FIG. 1 is a flow chart of a method for locating surface defects of a rolled piece according to a first embodiment of the present invention;
FIG. 2 shows a schematic view of the strip thickness at the contact angle θ of a rolled piece according to a first embodiment of the present invention;
fig. 3 is a schematic structural view of a rolled piece surface defect positioning device according to a second embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
First embodiment
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for locating surface defects of a rolled piece according to a first embodiment of the present invention. The specific implementation steps of the method in the embodiment are as follows:
step S10: dimensional data of defects on the product is obtained, the inlet thickness of the product at the inlets of the plurality of rolling mills, the outlet thickness of the product at the outlet of the last rolling mill, and the compensation coefficient of each rolling mill.
In step S10, the rolled material may be a slab to be rolled, for example, various types of plates, strip steel, or the like. Defects are foreign substances which fall onto the rolled stock during rolling, such as scale falling on the stand, oxides or adhesions of the slab itself, etc. Size data in this embodiment there are a variety of manifestations, and it can be generally considered that the size data includes: defect length and defect width. The defect length is the dimension of the defect in the rolling direction of the rolled piece, and the defect width is the dimension perpendicular to the rolling direction of the rolled piece. In addition, the defects generally appear to be circular or oval after falling onto the slab. Therefore, in the embodiment, the projection length of the maximum diameter of the defect in the length direction of rolling is taken as the defect length, and the projection of the maximum diameter of the defect in the direction perpendicular to the length direction is taken as the defect width, so that the relevance of the size data is improved, and the accuracy of the result is ensured. The dimensional data may be obtained by a surface quality inspection system.
The inlet thickness refers to the thickness of the rolled piece before the rolled piece enters the current rolling mill for rolling, and the outlet thickness refers to the thickness of the rolled piece after the rolling of the final rolling mill is completed. This example will be described hereinafter by taking 7 rolling mills (F1-F7, in turn, the 1 st rolling mill to the last 7 th rolling mill) as an example in the hot rolling process, and the number of rolling mills should not be construed as limiting the technical solution to be protected by the present invention. Wherein 7 rolling mills correspond to 7 inlet thicknesses; the 7 th frame is the last frame and corresponds to the thickness of one outlet.
In this embodiment, the inlet and outlet thicknesses of different rolling mills can be measured by a thickness measuring device. In the hot rolling process of the strip steel, the inlet thickness and the outlet thickness can also be obtained according to the following method:
Figure GDA0003159486730000051
/>
Figure GDA0003159486730000052
Figure GDA0003159486730000061
in the above, h 1 、h 2 The thickness of the strip steel at the inlet and the outlet of the rolling mill respectively; s is(s) 1 、s 2 Tension of strip steel at the inlet of the rolling mill and the outlet of the rolling mill respectively; p is p 1 、p 2 Positive pressure at the inlet and outlet of the mill, respectively; k, the yield stress of the strip steel; mu is the friction coefficient between the strip steel and the roller; h is a dimensionless parameter; r is the radius of a roller of the rolling mill; θ, the contact angle; h is the strip thickness at contact angle θ, as shown in FIG. 2. Since the inlet thickness of the first mill is known, the corresponding inlet thickness of each mill and the outlet thickness of the last mill are obtained by the above formulas (1) - (3).
And the compensation coefficient is used for correcting in the middle calculation process. Because the thickness of the rolled piece is changed in the rolling process, the length of the rolled piece is increased. However, the length increase and thickness change of the rolled stock are often closely related to the material characteristics of the rolled stock, the rolling mill rolling reduction, the size of the rolled stock, etc., and thus the compensation coefficient is required to be used for calculation correction. The compensation coefficient can be obtained through production tests or tests, experiments are carried out aiming at different products, and interval calculation models adopted later in the embodiment are adopted for fitting, so that the compensation coefficient corresponding to each rack is obtained.
Step S20: and obtaining identification parameters according to the size data.
In step S20, identification parameters may be obtained according to the defect length and defect width. When a mixture of metal dust, water, oil, etc. falls onto the surface of a rolled piece to form defects, the defects are regular when rolling is not performed. After rolling, the defect length increases more, and the defect width increases little or no. This correlates the defect size data with the number of rolling mills through which the defect passes. The finally obtained identification parameters can evaluate whether the defect is rolled by the rolling mill.
Specifically, it can be according to the formula
Figure GDA0003159486730000062
Obtaining identification parameters; where a is the defect length and b is the defect width. The relevance between the size data is represented by the ratio, so that whether the defect is rolled by the rolling mill can be effectively reflected. Meanwhile, the size data can be prevented from jumping greatly. In order to accurately determine the position of the defect, in this embodiment, it is also necessary to divide the area between each rolling mill and to make the data of these rolling areas. I.e. step S30 is performed.
Step S30: obtaining an identification interval of each rolling mill according to the outlet thickness, the inlet thickness and the compensation coefficient; wherein the identified section of the current mill corresponds to a rolling section between the current mill inlet and the previous mill outlet.
When the front rolling mill is an F1 rolling mill, the previous rolling mill outlet can be understood as infinity. In step S30, a specific implementation manner is as follows:
step S31: obtaining a first identification boundary value according to the outlet thickness, the inlet thickness of the target rolling mill and the compensation coefficient of the target rolling mill; the first identification boundary value is the identification boundary value of the target rolling mill.
In step S31, the target rolling mill is any rolling mill in the rolling process of the rolled piece. Specifically, the implementation process of step S31 is as follows:
firstly, obtaining a thickness variation ratio according to the outlet thickness and the inlet thickness of a target rolling mill; and then, obtaining a first identification boundary value according to the thickness change ratio and the compensation coefficient of the target rolling mill. Specifically, it can be according to the formula
Figure GDA0003159486730000071
Obtaining a first identification boundary value; wherein n is the nth target rolling mill, h n is in For the inlet thickness of the target rolling mill, h Out of For final mill exit thickness, delta n And the compensation coefficient of the target rolling mill. The thickness variation ratio allows the rolling material to be correlated to the rolling mill through which the rolling material is rolled. Further, the identification boundary value is compensated and corrected by the compensation coefficient, so that the identification boundary value can be corresponding to the identification parameter. In order to facilitate the identification judgment of the defect position, the identification section is divided according to the identification boundary value, that is, steps S32 to S33.
Step S32: and if the target rolling mill is the first rolling mill, acquiring an identification section of the target rolling mill according to the identification boundary value of the target rolling mill.
In step S32, the identification interval of the F1 mill can be expressed as
Figure GDA0003159486730000072
At this time, the rolling section before the 1 st rolling mill is corresponded.
Step S33: if the target rolling mill is a rolling mill behind the first rolling mill, acquiring an identification interval of the target rolling mill according to the first identification boundary value and the second identification boundary value; the second identified boundary value is an identified boundary value of a rolling mill preceding the target rolling mill.
In step S33, the identification interval of the F2 rolling mill can be expressed as
Figure GDA0003159486730000073
At the moment, the rolling interval between the 1 st rolling mill and the 2 nd rolling mill is corresponding; the identified section of the F3 mill can be expressed as
Figure GDA0003159486730000081
At the moment, the rolling interval between the F2 rolling mill and the F3 rolling mill is corresponding; the identification interval of the F4 mill can be expressed as +.>
Figure GDA0003159486730000082
At the moment, the rolling interval between the F3 rolling mill and the F4 rolling mill is corresponding; the identification interval of the F5 mill can be expressed as +.>
Figure GDA0003159486730000083
At the moment, the rolling interval between the F4 rolling mill and the F5 rolling mill is corresponding; the identification interval of the F6 mill can be expressed as +.>
Figure GDA0003159486730000084
Figure GDA0003159486730000085
At the moment, the rolling interval between the F5 rolling mill and the F6 rolling mill is corresponding; the identification interval of the F7 mill can be expressed as +.>
Figure GDA0003159486730000086
At the moment, the rolling interval between the F6 rolling mill and the F7 rolling mill is corresponding; the identification interval after the outlet of the F7 mill can be expressed as +.>
Figure GDA0003159486730000087
δ 7 ′ And the compensation coefficient is corresponding to a rolling interval after the outlet of the F7 rolling mill.
In addition, in this embodiment, the following implementation is also provided for steps S20 to S30: the identification parameters can be expressed as
Figure GDA0003159486730000088
The recognition boundary value can be expressed as +.>
Figure GDA0003159486730000089
u n The compensation coefficient of (a) can be referred to delta for its function and meaning n It is understood that no further description is given. At this time, the identification section of the F1 mill may be expressed as +.>
Figure GDA00031594867300000810
Figure GDA00031594867300000811
The identification intervals of other rolling mills can be analogized according to the description of the step S33, and are not repeated.
Step S40: and obtaining a rolling interval in which the defect is located according to the identification interval in which the identification parameter is located.
In step S40, the specific identification procedure is as follows:
when the identification parameters meet the following conditions:
Figure GDA00031594867300000812
it is determined that the defect occurred before the bite of the F1 mill. />
When the identification parameters meet the following conditions:
Figure GDA00031594867300000813
then the defect is determined to occur after the F1 mill bite and before the F2 mill bite.
When the identification parameters meet the following conditions:
Figure GDA0003159486730000091
then the defect is determined to occur after the F2 mill bite and before the F3 mill bite.
When the identification parameters meet the following conditions:
Figure GDA0003159486730000092
then the defect is determined to occur after the F3 mill bite and before the F4 mill bite.
When the identification parameters meet the following conditions:
Figure GDA0003159486730000093
then the defect is determined to occur after the F4 mill bite and before the F5 mill bite.
When the identification parameters meet the following conditions:
Figure GDA0003159486730000094
then the defect is determined to occur after the F5 mill bite and before the F6 mill bite.
When the identification parameters meet the following conditions:
Figure GDA0003159486730000095
surface defects occur after the F6 mill bite and before the F7 mill bite.
When the identification parameters meet the following conditions:
Figure GDA0003159486730000096
surface defects occur after the F7 mill bite.
Through the judging process, the position where the defect occurs can be accurately positioned. After the defect positioning is finished, the defect can be purified and removed by adopting a high-pressure air gun to blow, so that the defect is prevented from being continuously embedded into a rolled piece in the subsequent rolling process. Other automatic or manual means may be used for cleaning without limitation.
The space between the frames or near the rollers is narrow in the rolling process of the rolled piece, the temperature can be 900-1000 ℃, other equipment is not easy to be introduced and installed, and even if other equipment is added, the equipment is easy to be broken or damaged. According to the positioning method, other positioning equipment can be prevented from being added, and loss of hardware equipment is avoided.
In summary, in the method for positioning a surface defect of a rolled piece provided in this embodiment, by obtaining dimensional data of defects on the rolled piece, the thickness of the rolled piece at the inlet of each of a plurality of rolling mill inlets, the thickness of the rolled piece at the outlet of the last rolling mill outlet, and the compensation coefficient of each rolling mill are respectively obtained; then, based on the dimensional data, identification parameters are obtained by means of which defects can be associated with the rolling mill being passed. Further, according to the outlet thickness, the inlet thickness and the compensation coefficient, an identification interval of each rolling mill is obtained; the identification interval of the current rolling mill corresponds to a rolling interval between the inlet of the current rolling mill and the outlet of the previous rolling mill, so that the rolling interval is represented through the identification interval, and data representation of the rolling interval is realized. Finally, according to the identification interval where the identification parameter is located, the rolling interval where the defect is located can be obtained, and therefore accurate positioning of the defect is achieved. Therefore, the method of the embodiment can rapidly and accurately identify and position the defects on the rolled piece, and ensures the timely treatment of the defects of the rolled piece. In addition, the method does not need to install additional image or visual identification equipment between rolling mills, equipment loss is avoided, and production cost is saved.
Second embodiment
Referring to fig. 3, a second embodiment of the present invention provides a rolled piece surface defect positioning apparatus 300 based on the same inventive concept. Fig. 3 is a schematic structural view of a rolled piece surface defect positioning apparatus 300 according to a second embodiment of the present invention.
The rolled piece surface defect positioning device 300 is characterized by comprising:
an acquisition module 301 for acquiring dimensional data of defects on the rolled piece, the inlet thicknesses of the rolled piece at the inlets of the plurality of rolling mills, the outlet thicknesses of the rolled piece at the outlet of the last rolling mill, and the compensation coefficient of each rolling mill, respectively; a first data processing module 302, configured to obtain an identification parameter according to the size data; a second data processing module 303, configured to obtain an identification interval of each rolling mill according to the outlet thickness, the inlet thickness, and the compensation coefficient; wherein the identification interval of the current rolling mill corresponds to the rolling interval between the current rolling mill inlet and the previous rolling mill outlet; and the identification module 304 is configured to obtain a rolling section where the defect is located according to the identification section where the identification parameter is located.
As an alternative embodiment, the size data includes a defect length and a defect width, the defect length being a size of the defect in a rolling direction of the rolled piece, the defect width being a size perpendicular to the rolling direction of the rolled piece; the first data processing module 302 is specifically configured to:
and obtaining the identification parameters according to the defect length and the defect width.
As an alternative embodiment, the first data processing module 302 is further specifically configured to:
according to the formula
Figure GDA0003159486730000111
Obtaining the identification parameters; where a is the defect length and b is the defect width.
As an alternative embodiment, the second data processing module 303 is specifically configured to:
obtaining a first identification boundary value according to the outlet thickness, the inlet thickness of the target rolling mill and the compensation coefficient of the target rolling mill; the first identification boundary value is the identification boundary value of the target rolling mill; if the target rolling mill is the first rolling mill, acquiring an identification interval of the target rolling mill according to the identification boundary value of the target rolling mill; if the target rolling mill is a rolling mill behind the first rolling mill, acquiring an identification interval of the target rolling mill according to the first identification boundary value and the second identification boundary value; the second identified boundary value is an identified boundary value of a rolling mill preceding the target rolling mill.
As an alternative embodiment, the second data processing module 303 is further specifically configured to:
obtaining a thickness variation ratio according to the outlet thickness and the inlet thickness of the target rolling mill; and obtaining the first identification boundary value according to the thickness variation ratio and the compensation coefficient of the target rolling mill.
As an alternative embodiment, the second data processing module 303 is further specifically configured to:
according to the formula
Figure GDA0003159486730000112
Obtaining a first identification boundary value; wherein n is the nth target rolling mill, h n is in For the inlet thickness of the target rolling mill, h Out of For final mill exit thickness, delta n And the compensation coefficient of the target rolling mill.
It should be noted that, in the embodiment of the present invention, the specific implementation and the technical effects of the device 300 for locating a surface defect of a rolled piece are the same as those of the embodiment of the foregoing method, and for a brief description, reference may be made to the corresponding content of the embodiment of the foregoing method.
Third embodiment
Based on the same inventive concept, a third embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of any of the first embodiments described above.
It should be noted that, in the computer readable storage medium provided in the embodiments of the present invention, the specific implementation and the technical effects of each step implemented when the program is executed by the processor are the same as those of the foregoing method embodiments, and for brevity, reference may be made to corresponding contents in the foregoing method embodiments for the sake of brevity.
The term "and/or" as used herein is merely one association relationship describing the associated object, meaning that there may be three relationships, e.g., a and/or B, which may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship; the word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (8)

1. A method for locating surface defects of a rolled piece, comprising:
acquiring size data of defects on a rolled piece, inlet thicknesses of the rolled piece at a plurality of rolling mill inlets, outlet thicknesses of the rolled piece at a tail rolling mill outlet and compensation coefficients of each rolling mill;
obtaining identification parameters according to the size data;
obtaining an identification interval of each rolling mill according to the outlet thickness, the inlet thickness and the compensation coefficient; wherein the identification interval of the current rolling mill corresponds to the rolling interval between the current rolling mill inlet and the previous rolling mill outlet;
obtaining a rolling interval in which the defect is located according to an identification interval in which the identification parameter is located;
the obtaining the identification interval of each rolling mill according to the outlet thickness, the inlet thickness and the compensation coefficient comprises the following steps:
obtaining a first identification boundary value according to the outlet thickness, the inlet thickness of the target rolling mill and the compensation coefficient of the target rolling mill; the first identification boundary value is the identification boundary value of the target rolling mill;
if the target rolling mill is the first rolling mill, acquiring an identification interval of the target rolling mill according to the identification boundary value of the target rolling mill;
if the target rolling mill is a rolling mill behind the first rolling mill, acquiring an identification interval of the target rolling mill according to the first identification boundary value and the second identification boundary value; the second identified boundary value is an identified boundary value of a rolling mill preceding the target rolling mill,
the obtaining a first identification boundary value according to the outlet thickness, the inlet thickness of the target rolling mill and the compensation coefficient of the target rolling mill includes:
obtaining a thickness variation ratio according to the outlet thickness and the inlet thickness of the target rolling mill;
and obtaining the first identification boundary value according to the thickness variation ratio and the compensation coefficient of the target rolling mill.
2. The method of claim 1, wherein the dimensional data includes a defect length and a defect width, the defect length being a dimension of the defect in a rolling direction of the rolled piece, the defect width being a dimension perpendicular to the rolling direction of the rolled piece; the obtaining the identification parameters according to the size data comprises the following steps:
and obtaining the identification parameters according to the defect length and the defect width.
3. The method according to claim 2, wherein said obtaining said identification parameter from said defect length and said defect width comprises:
according to the formula
Figure QLYQS_1
Obtaining the identification parameters; where a is the defect length and b is the defect width.
4. The method of claim 1, wherein the obtaining a first identified boundary value based on the outlet thickness, an inlet thickness of a target mill, and a compensation coefficient of the target mill comprises:
according to the formula
Figure QLYQS_2
Obtaining a first identification boundary value; wherein n is the n-th target rolling mill, < ->
Figure QLYQS_3
For the inlet thickness of the target mill, +.>
Figure QLYQS_4
For the outlet thickness of the last mill, +.>
Figure QLYQS_5
And the compensation coefficient of the target rolling mill.
5. A rolled piece surface defect positioning device, characterized in that the device is applied to the method of any one of claims 1 to 4, and comprises:
the device comprises an acquisition module, a compensation module and a control module, wherein the acquisition module is used for acquiring size data of defects on a rolled piece, the thickness of the rolled piece at inlets of a plurality of rolling mills, the thickness of the rolled piece at an outlet of a last rolling mill and the compensation coefficient of each rolling mill;
the first data processing module is used for obtaining identification parameters according to the size data;
the second data processing module is used for obtaining an identification interval of each rolling mill according to the outlet thickness, the inlet thickness and the compensation coefficient; wherein the identification interval of the current rolling mill corresponds to the rolling interval between the current rolling mill inlet and the previous rolling mill outlet;
the obtaining the identification interval of each rolling mill according to the outlet thickness, the inlet thickness and the compensation coefficient comprises the following steps:
obtaining a first identification boundary value according to the outlet thickness, the inlet thickness of the target rolling mill and the compensation coefficient of the target rolling mill; the first identification boundary value is the identification boundary value of the target rolling mill;
if the target rolling mill is the first rolling mill, acquiring an identification interval of the target rolling mill according to the identification boundary value of the target rolling mill;
if the target rolling mill is a rolling mill behind the first rolling mill, acquiring an identification interval of the target rolling mill according to the first identification boundary value and the second identification boundary value; the second identified boundary value is an identified boundary value of a rolling mill preceding the target rolling mill,
the obtaining a first identification boundary value according to the outlet thickness, the inlet thickness of the target rolling mill and the compensation coefficient of the target rolling mill includes:
obtaining a thickness variation ratio according to the outlet thickness and the inlet thickness of the target rolling mill;
obtaining the first identification boundary value according to the thickness variation ratio and the compensation coefficient of the target rolling mill;
and the identification module is used for obtaining the rolling interval where the defect is located according to the identification interval where the identification parameter is located.
6. The apparatus of claim 5, wherein the dimensional data includes a defect length and a defect width, the defect length being a dimension of the defect in a rolling direction of the rolled piece, the defect width being a dimension perpendicular to the rolling direction of the rolled piece; the first data processing module is specifically configured to:
and obtaining the identification parameters according to the defect length and the defect width.
7. The apparatus of claim 6, wherein the first data processing module is further specifically configured to:
according to the formula
Figure QLYQS_6
Obtaining the identification parameters; where a is the defect length and b is the defect width.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the method according to any one of claims 1-4.
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