CN117655112B - Rolling mill thermal imaging plate shape control method - Google Patents
Rolling mill thermal imaging plate shape control method Download PDFInfo
- Publication number
- CN117655112B CN117655112B CN202311754158.3A CN202311754158A CN117655112B CN 117655112 B CN117655112 B CN 117655112B CN 202311754158 A CN202311754158 A CN 202311754158A CN 117655112 B CN117655112 B CN 117655112B
- Authority
- CN
- China
- Prior art keywords
- width direction
- rolled plate
- plate
- temperature
- rolled
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000005096 rolling process Methods 0.000 title claims abstract description 193
- 238000001931 thermography Methods 0.000 title claims abstract description 153
- 238000000034 method Methods 0.000 title claims abstract description 24
- 239000000110 cooling liquid Substances 0.000 claims abstract description 63
- 238000005507 spraying Methods 0.000 claims abstract description 56
- 238000012545 processing Methods 0.000 claims abstract description 27
- 238000001816 cooling Methods 0.000 claims abstract description 18
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 238000003856 thermoforming Methods 0.000 claims abstract description 4
- 241000122205 Chamaeleonidae Species 0.000 claims description 89
- 238000009826 distribution Methods 0.000 claims description 40
- 238000013461 design Methods 0.000 claims description 25
- 238000004422 calculation algorithm Methods 0.000 claims description 19
- 238000007781 pre-processing Methods 0.000 claims description 16
- 239000011159 matrix material Substances 0.000 claims description 12
- 239000007921 spray Substances 0.000 claims description 10
- 238000007619 statistical method Methods 0.000 claims description 10
- 238000013500 data storage Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000011161 development Methods 0.000 claims description 6
- 230000005484 gravity Effects 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 4
- 239000000463 material Substances 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 4
- 230000008447 perception Effects 0.000 claims description 3
- 230000009467 reduction Effects 0.000 claims description 3
- 239000013598 vector Substances 0.000 claims description 3
- 238000005259 measurement Methods 0.000 abstract description 8
- 238000003384 imaging method Methods 0.000 description 5
- 230000005855 radiation Effects 0.000 description 4
- 238000003331 infrared imaging Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 206010061218 Inflammation Diseases 0.000 description 1
- 206010028980 Neoplasm Diseases 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000004054 inflammatory process Effects 0.000 description 1
- 230000001050 lubricating effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 208000027232 peripheral nervous system disease Diseases 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- 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
-
- 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
-
- 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
- B21B38/006—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product for measuring temperature
-
- 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
- B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
- B21B2038/004—Measuring scale thickness
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Control Of Metal Rolling (AREA)
Abstract
The invention relates to the technical field of rolling mill plate processing control, and discloses a rolling mill thermal imaging plate shape control method, wherein an operation system of the method comprises a rolling plate surface temperature and plate thickness data acquisition module, a rolling plate surface cooling liquid spraying amount processing module, a rolling plate width direction thickness error analysis module and a rolling plate width direction thickness error adjustment module; the temperature image data of the thermal imaging of the surface of the rolled plate and the thickness data of the surface of the rolled plate are uniformly and accurately acquired horizontally along the width direction of the surface of the rolled plate at the input side and the output side of the rolling mill by using a plurality of groups of thermoforming instruments and high-temperature laser position sensors respectively, so that the point-to-point accurate measurement of the surface temperature of the input side of the rolled plate is realized, the differential operation of the surface cooling operation of the rolled plate is improved, the point-to-point scientific measurement of the plate thickness of the output side of the rolled plate is realized, and the accurate feedback of the plate shape result of the rolled plate is ensured.
Description
Technical Field
The invention relates to the technical field of rolling mill plate processing control, in particular to a rolling mill thermal imaging plate shape control method.
Background
The rolling mill is equipment for realizing the metal rolling process, generally refers to equipment for completing the whole production process of rolled materials, can be divided into two rollers, four rollers, six rollers, eight rollers, twelve rollers, eighteen rollers and the like according to the number of rollers, can be divided into L-shaped, T-shaped, F-shaped, Z-shaped and S-shaped according to the arrangement mode of the rollers, and is mainly composed of rollers, a frame, a roller spacing adjusting device, a roller temperature adjusting device, a transmission device, a lubricating system, a control system, a roller dismounting device and the like, wherein a precision calender is provided with a device for guaranteeing the rolling precision except for main parts and devices of the common rolling mill. Thermal imaging is the result of thermal movement of molecules within an object, with infrared radiation, at temperatures above absolute zero-273 ℃. The radiant energy is proportional to the fourth power of the temperature of the device, and the radiated wavelength is inversely proportional to the temperature of the device. Infrared imaging techniques are based on the level of radiant energy of a detected object. The temperature distribution of the measured object is obtained by converting the temperature distribution into a thermal image of the object through system processing and displaying the thermal image in gray level or pseudo color, so as to judge the state of the object. The thermal imaging is a detection device which detects infrared energy in a non-contact way and converts the infrared energy into an electric signal so as to generate a thermal image and a temperature value on a display and can calculate the temperature value. The thermal imaging has the functions of prompting inflammation, early warning of tumor, prompting peripheral nerve diseases, analyzing other difficult and complicated diseases and tracking curative effect. Thermal imaging is also known as long wave infrared imaging. And the working band is passive infrared imaging with the wavelength of 3-14 microns. The method mainly records the self-infrared radiation of heated objects, can change the thermal image of scenery radiation into a visible two-dimensional image, a thermal imaging system mainly comprises two basic categories of thermal radiation electronic imaging and thermal imaging, the spraying amount of plate cooling liquid is required to be controlled in the process of rolling plates by a rolling mill at present through detecting the surface temperature of the plates, the consistency of the thickness of the rolled plates of the rolling mill is ensured through adjusting the positions of working rolls, however, the existing rolling plates of the rolling mill cannot accurately control the spraying amount of the cooling liquid according to the thermal imaging temperature of the surfaces of the plates, so that the uneven cooling temperature of the surfaces of the rolled plates is easily caused, the consistency of the thickness of the rolled plates is influenced, and meanwhile, the accurate control of the thickness of the rolled plates of the rolling mill cannot be realized through accurately feeding back and adjusting the distance between the upper working rolls and the lower working rolls of the rolling plates according to the rolling thickness data of the rolled plates of the plates.
Disclosure of Invention
(One) solving the technical problems
In order to solve the problems that the prior rolling mill cannot accurately control the spraying amount of the cooling liquid according to the thermal imaging temperature of the surface of the plate, so that the cooling temperature of the surface of the rolled plate is easily uneven, the thickness consistency of the rolled plate is affected, and meanwhile, the rolling mill cannot accurately feed back and adjust the distance between the upper working roller and the lower working roller for rolling according to the rolling thickness data of the plate to realize the accurate control of the plate shape of the rolled plate of the rolling mill, the purposes of accurately controlling the spraying amount of the cooling liquid and accurately adjusting the distance between the upper working roller and the lower working roller are realized.
(II) technical scheme
The invention is realized by the following technical scheme that the rolling mill thermal imaging plate shape control method comprises the following steps:
s1, acquiring thermal imaging temperature image data in the width direction of the surface of a rolled plate at the input side of a rolling mill and thickness data in the width direction of the surface of the rolled plate at the output side of the rolling mill;
S2, carrying out data preprocessing on the thermal imaging temperature image data in the width direction of the surface of the rolled plate and the thickness data in the width direction of the surface of the rolled plate;
s3, calculating the preprocessed thermal imaging temperature image data in the width direction of the surface of the rolled plate and the thermal imaging temperature numerical value identification image data of the rolled plate by using an image identification algorithm, and outputting temperature distribution data in the width direction of the surface of the rolled plate;
S4, establishing a mathematical formula of the surface temperature of the rolled plate and the spraying quantity of the cooling liquid according to the relation between the temperature distribution data of the surface width direction of the rolled plate and the cooling relation of the surface of the rolled plate, and calculating and outputting the spraying quantity data of the cooling liquid of the surface width direction of the rolled plate;
S5, after the surface of the rolled plate is cooled and rolled, carrying out numerical comparison according to the thickness data of the rolled plate in the surface width direction and the design thickness data of the rolled plate in the width direction, and calculating and outputting thickness error data of the rolled plate in the width direction;
S6, measuring and analyzing the thickness error data in the width direction of the rolled plate by using a statistical method to obtain the thickness error mean value data in the width direction of the rolled plate;
S7, calling the average value data of the thickness errors in the width direction of the rolled plate to adjust the distance between working rolls of the rolling mill, and eliminating the thickness processing errors of the rolled plate.
Preferably, the operation steps of collecting the thermal imaging temperature image data of the rolling plate surface on the input side of the rolling mill in the width direction and the thickness data of the rolling plate surface on the output side of the rolling mill are as follows:
S11, utilizing a plurality of groups of thermal imagers horizontally arranged along the width direction of the rolled plate to acquire thermal imaging temperature image data of the width direction of the surface of the rolled plate at the input side of the rolling mill on line and establishing a set ,WhereinIndicating the first along the width direction of the rolled plateThermal imaging temperature image data in the width direction of the surface of the rolled plate, which are acquired by the thermal imaging devices,Representing the maximum value of the number of thermal imaging temperature image data in the width direction of the surface of the rolled plate;
S12, a plurality of groups of high-temperature laser position sensors horizontally arranged along the width direction of the rolled plate collect the thickness data of the rolled plate on the output side of the rolling mill in the width direction on line and establish a set ,WhereinIndicating the first along the width direction of the rolled plateThe width direction thickness data of the surface of the rolled plate collected by the high-temperature laser position sensors,Representing the width direction of the surface of the rolled plate maximum value of the number of thickness data.
Preferably, the operation steps of data preprocessing for the thermal imaging temperature image data in the width direction of the surface of the rolled plate and the thickness data in the width direction of the surface of the rolled plate are as follows:
s21, utilizing Gaussian filter algorithm to perform thermal imaging on temperature image data set in width direction of rolled plate surface And a rolled sheet surface width direction thickness data setPerforming data noise reduction pretreatment to respectively generate standard rolled plate surface width direction thermal imaging temperature image data setsAnd standard rolled sheet surface width direction thickness data set。
Preferably, the calculating is performed on the preprocessed thermal imaging temperature image data in the width direction of the rolled plate surface and the thermal imaging temperature numerical value identification image data of the rolled plate by using an image identification algorithm, and the operation steps of outputting the temperature distribution data in the width direction of the rolled plate surface are as follows:
S31, acquiring a standard rolled plate surface width direction thermal imaging temperature image data set
S32, establishing a thermal imaging temperature numerical identification image data set of the rolled plate,WhereinRepresent the firstIdentifying image data by using thermal imaging temperature values of the rolling plate,Representing the maximum value of the number of the thermal imaging temperature numerical identification image data of the rolled plate;
S33, utilizing an image recognition algorithm to conduct thermal imaging on the surface of the standard rolled plate in the width direction to obtain a temperature image data set Thermal imaging temperature image data in width direction of surface of standard rolled plateImage data set for identifying thermal imaging temperature numerical value of rolled plateImage data for identifying thermal imaging temperature numerical value of medium-rolled plateImage matching measures and calculates thermal imaging temperature image data of the surface width direction of the standard rolled plateCorresponding temperature distribution data in the width direction of the surface of the rolled plateAnd set up the collectionWhereinRepresent the firstThermal imaging temperature image data of width direction of surface of standard rolled plateCorresponding temperature distribution data in the width direction of the surface of the rolled plate;
the image recognition algorithm comprises the following steps:
Step one, setting the maximum iteration times T, searching for a prey, searching for a chameleon for the surface temperature of a rolled plate to solve the temperature saturation problem, and starting searching for the prey, namely identifying an image data set on the thermal imaging temperature value of the rolled plate Medium searching and standard rolled plate surface width direction thermal imaging temperature image dataMatched thermal imaging temperature numerical identification image data of rolled plateSearch for hunting formula as
Wherein,Searching for chameleon i in dimension j for rolled sheet surface temperaturePosition and number of iterationsThe position of the iteration number, wherein the dimension j corresponds to the dimension beingImage data set for identifying thermal imaging temperature numerical value of rolled plateThe search space is a space for a search,Is thatSearching the current optimal individual position in the space in the dimension j after the iteration times; searching chameleon i for surface temperature of rolled plate Searching the best position of the space in the dimension j after the iteration times;、 are two parameters that control exploration ability; 、、 are random numbers in [0,1], Representative of、、,The probability of searching chameleon perception hunting for the surface temperature of the rolled plate is expressed,、Respectively represent the upper limit and the lower limit of the j-th dimension, namely, the image data set is identified in the thermal imaging temperature numerical value of the rolled plateThe upper limit and the lower limit, the sgn (rand-0.5) takes a value of 1 or-1, and the exploration and development directions are influenced;
Step two, prey positioning, in which the eyes of the rolled sheet surface temperature search chameleon are independently movable, they can proficiently explore the space to position the prey, their eyes can be simultaneously seen in two different directions and simultaneously rotated and focused so that the surrounding panorama can be seen, in order to simulate this process, the authors make four settings: translating the original position of the surface temperature searching chameleon of the rolled plate to the gravity center, finding a rotation matrix for identifying the position of a prey, updating the position of the surface temperature searching chameleon of the rolled plate by using the rotation matrix at the gravity center, and moving the surface temperature searching chameleon of the rolled plate back to the original position;
the position update of the chameleon for searching the surface temperature of the rolled plate in the stage when the chameleon rotates to position the prey through eyes is simulated
In the followingIs thatSearching the average position of the chameleon i in each dimension before the position rotation after the iteration times,Color changing dragon i for indicating surface temperature search of rolled plateThe coordinates after the number of iterations of rotation,Searching chameleon i for surface temperature of rolled plateThe rotation center coordinates of the number of iterations,WhereinSearching chameleon i for surface temperature of rolled plateThe centering coordinates of the number of iterations,;A rotation matrix for indicating the surface temperature of the rolled plate to search for the position rotation of the chameleon i,Wherein,R represents a rotation matrix in each axis for two orthogonal vectors in a coordinate space; the method searches the rotation angle of the chameleon eye by the surface temperature of the rolled plate, ,Is a random value in [0,1], and sgn (rand-0.5) takes a value of 1 or-1;
Step three, capturing a prey, wherein the rolled plate surface temperature searching chameleon close to the prey is the rolled plate surface temperature searching chameleon with the best position, the rolled plate surface temperature searching chameleon attacks the prey by using the tongue of the rolled plate surface temperature searching chameleon, the position of the rolled plate surface temperature searching chameleon can be updated, the tongue of the rolled plate surface temperature searching chameleon can be reduced to twice the original length, and the speed of falling the tongue of the rolled plate surface temperature searching chameleon to the prey is defined as follows:
In the following ,Searching for chameleon i in dimension j for rolled sheet surface temperaturePosition and number of iterationsThe speed with which the tongue falls toward the prey for the number of iterations,=Control =1.75AndThe effect on the tongue velocity is that,The update mode of (a) is as followsWhere T represents the maximum number of iterations, T represents the current number of iterations,=1 Is a parameter controlling development ability, when the tongue of the rolled sheet surface temperature search chameleon is projected to a prey, its position implicitly represents the position of the rolled sheet surface temperature search chameleon;
Step four, outputting a rolled plate surface width direction temperature distribution data set when the maximum iteration number is met by the searching chameleon of the rolled plate surface temperature searching chameleon And when the maximum iteration number is not met by the surface temperature searching chameleon of the rolled plate, continuing to execute the first to third steps until the maximum iteration number is met by the surface temperature searching chameleon of the rolled plate.
Preferably, the operation steps of establishing the mathematical expression of the surface temperature of the rolled plate and the spraying amount of the cooling liquid according to the relation between the temperature distribution data of the surface width direction of the rolled plate and the cooling relationship of the surface of the rolled plate, and calculating and outputting the cooling liquid spraying amount data of the surface width direction of the rolled plate are as follows:
s41, acquiring a temperature distribution data set of the surface of the rolled plate in the width direction ;
S42, establishing the surface temperature of the rolled plate and the spray quantity mathematical formula of the cooling liquidWhereinThe surface temperature of the rolled plate and the spraying quantity factor of the cooling liquid are expressed,In order to fix the parameters of the device,The magnitude of the value of (a) is determined according to the relation between the surface temperature of the rolled plate and the spraying amount of the cooling liquid in the cooling practice of the rolled plate,The temperature distribution data of the width direction of the surface of the rolled plate at the thermal imaging temperature image acquisition position of the thermal forming instrument,The cooling liquid spraying flow is represented, and as the conveying speed of the plates is the same in the rolling process of rolling the plates, the cooling liquid spraying time along the width direction of the surfaces of the rolled plates is the same, and the quantity of the cooling liquid spraying quantity is positively related to the spraying flow of each cooling liquid spraying position along the width direction of the surfaces of the rolled plates;
S43, utilizing the temperature distribution data set in the width direction of the surface of the rolled plate Temperature distribution data of the surface width direction of the medium-rolled plateAnd combines the surface temperature of the rolled plate and the spray quantity mathematical formula of the cooling liquidAnd calculating the cooling liquid spraying flow data of the thermal imaging temperature image data acquisition points corresponding to the thermal imaging instrument in the width direction of the surface of the rolled plate.
Preferably, after the surface of the rolled plate is cooled and rolled, numerical comparison is performed according to the thickness data in the width direction of the surface of the rolled plate and the design thickness data in the width direction of the rolled plate, and the operation steps of calculating and outputting the thickness error data in the width direction of the rolled plate are as follows:
S51, acquiring a standard rolled plate surface width direction thickness data set ;
S52, establishing design thickness data of the rolled plate in the width direction,The size of (2) depends on the model, material and specification of the rolled plate;
S53, collecting the data of the width direction thickness of the surface of the standard rolled plate All of the standard rolled sheet surface width direction thickness dataAnd the design thickness data of the rolled plate in the width directionPerforming difference comparison calculation to generate a rolled plate width direction thickness error data set,WhereinIndicating the first along the width direction of the rolled plateData of the width direction thickness of the surface of each standard rolled plateAnd the design thickness data of the rolled plate in the width directionIs a rolling plate width direction thickness error data,Represents the maximum value of the number of the thickness error data in the width direction of the rolled sheet,Taking outAnd (3) withThe absolute value of the difference calculation result is calculated, and the rolling mill generally rolls the large-size plate into a small-size plate with a certain shape in the plate rolling process, so that the thickness specification of the rolled plate meets the design specification requirement and the thickness specification of the rolled plate is larger than the design specification requirement after the plate is rolled.
Preferably, the operation steps of measuring and analyzing the thickness error data in the width direction of the rolled plate by using a statistical method to obtain the average value data of the thickness error in the width direction of the rolled plate are as follows:
S61, acquiring a rolled plate width direction thickness error data set ;
S62, calculating a rolling plate width direction thickness error data setThickness error data in the width direction of all rolled platesIs a rolling plate width direction thickness error mean value data。
Preferably, the operation steps for adjusting the distance between the working rolls of the rolling mill to eliminate the thickness processing error of the rolled plate by calling the thickness error average value data in the width direction of the rolled plate are as follows:
S71, obtaining the thickness error mean value data of the rolled plate in the width direction And according toThe numerical value controls the movement of the working rolls of the rolling mill to reduce the distance between the two working rolls, and eliminates the thickness processing error of the rolled plate.
The running system for realizing the rolling mill thermal imaging plate shape control method comprises a rolled plate surface temperature and plate thickness data acquisition module, a rolled plate surface cooling liquid spraying amount processing module, a rolled plate width direction thickness error analysis module and a rolled plate width direction thickness error adjustment module;
the rolled plate surface temperature and plate thickness data acquisition module comprises a rolled plate surface width direction thermal imaging temperature image data acquisition unit, a rolled plate width direction thickness data acquisition unit and a rolled plate thermal imaging temperature image and thickness data preprocessing unit;
The device comprises a rolling plate surface width direction thermal imaging temperature image data acquisition unit, a rolling plate width direction thickness data acquisition unit, a rolling plate thermal imaging temperature image and thickness data preprocessing unit, a rolling plate surface width direction thermal imaging temperature image data and rolling plate surface width direction thickness data preprocessing unit, a rolling plate surface width direction thermal imaging temperature image data acquisition unit and a rolling plate surface width direction thickness data preprocessing unit, wherein the rolling plate surface width direction thermal imaging temperature image data acquisition unit acquires rolling plate surface width direction thickness data of an input side of a rolling mill by using a thermoforming instrument;
The rolling plate surface cooling liquid spraying amount processing module comprises a rolling plate thermal imaging temperature numerical value identification image data storage unit, a rolling plate surface width direction temperature measuring and calculating unit and a rolling plate surface width direction cooling liquid spraying amount processing unit;
The rolled plate thermal imaging temperature numerical value identification image data storage unit is used for storing rolled plate thermal imaging temperature numerical value identification image data; the device comprises a rolled plate surface width direction cooling liquid spray amount measuring unit, a rolling plate surface width direction cooling liquid spray amount measuring unit and a rolling plate surface cooling unit, wherein the rolled plate surface width direction temperature measuring unit is used for measuring and calculating preprocessed rolled plate surface width direction thermal imaging temperature image data and rolled plate thermal imaging temperature numerical identification image data by using an image identification algorithm and outputting rolled plate surface width direction temperature distribution data;
The rolled plate width direction thickness error analysis module comprises a rolled plate width direction design thickness data storage unit, a rolled plate width direction thickness error data metering unit and a rolled plate width direction thickness error data statistical analysis unit;
The rolling plate width direction thickness error data measuring unit is used for carrying out numerical comparison according to the rolling plate surface width direction thickness data and the rolling plate width direction design thickness data after the rolling plate surface is cooled and rolled and calculating and outputting the rolling plate width direction thickness error data;
the rolled plate width direction thickness error adjustment module comprises a rolled plate width direction thickness error statistical data calling unit and a rolled plate width direction thickness error adjustment executing unit;
the rolling plate width direction thickness error adjustment execution unit adjusts the distance between working rolls of the rolling mill according to the rolling plate width direction thickness error average value data to eliminate the rolling plate thickness processing error.
(III) beneficial effects
The invention provides a rolling mill thermal imaging plate shape control method. The beneficial effects are as follows:
1. The hot imaging temperature image data acquisition unit in the width direction of the surface of the rolled plate and the thickness data acquisition unit in the width direction of the rolled plate are matched with each other respectively, a plurality of groups of hot forming instruments and high-temperature laser position sensors are used on the input side and the output side of the rolling mill to uniformly and accurately acquire the hot imaging temperature image data in the width direction of the surface of the rolled plate and the thickness data in the width direction of the surface of the rolled plate along the width direction of the surface of the rolled plate, so that the point-to-point accurate measurement of the surface temperature of the input side of the rolled plate is realized, the differential operation of the surface cooling operation of the rolled plate is improved, the point-to-point scientific measurement of the thickness of the output side of the rolled plate is realized, and the accurate feedback of the plate shape result of the rolled plate is ensured.
2. The temperature measuring and calculating unit for the width direction of the rolled plate surface utilizes a chameleon optimization algorithm to identify and calculate the temperature distribution data of the width direction of the rolled plate surface by using standard thermal imaging temperature image data of the width direction of the rolled plate and thermal imaging temperature numerical identification image data of the rolled plate, so that the temperature of the rolled plate surface is safely and reliably measured, and the cooling liquid spraying amount measuring unit for the width direction of the rolled plate surface is used for accurately measuring according to the temperature distribution data of the width direction of the rolled plate surface and combining the relation between the temperature of the rolled plate surface and the cooling liquid spraying amount, so that the cooling liquid spraying amount data of temperature measuring points along the width surface of the rolled plate ensures the uniformity of the cooling temperature of the rolled plate surface, and improves the consistency of the rolled plate shape of the plate.
3. The rolling plate width direction thickness error data statistical analysis unit carries out mean value processing on the rolling plate width direction thickness error data to obtain a rolling plate thickness error mean value, so that the rolling plate thickness scientific and uniform adjustment is ensured, the rolling plate width direction thickness error adjustment execution unit adjusts the distance between rolling mill working rolls based on the rolling plate width direction thickness error mean value data to eliminate the rolling plate thickness processing error, realizes automatic analysis, measurement and adjustment of the rolling plate thickness, and ensures the quality and efficiency of rolling plate shape of the rolling mill.
Drawings
FIG. 1 is a diagram of the operational system of a rolling mill thermal imaging strip shape control method according to the present invention;
fig. 2 is a view showing an operational structure of a thermal imaging strip shape control method of a rolling mill shown in fig. 1.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
An embodiment of the rolling mill thermal imaging plate shape control method is as follows:
Referring to fig. 1-2, a rolling mill thermal imaging plate shape control method includes the steps of:
s1, acquiring thermal imaging temperature image data in the width direction of the surface of a rolled plate at the input side of a rolling mill and thickness data in the width direction of the surface of the rolled plate at the output side of the rolling mill;
S2, carrying out data preprocessing on the thermal imaging temperature image data in the width direction of the surface of the rolled plate and the thickness data in the width direction of the surface of the rolled plate;
s3, calculating the preprocessed thermal imaging temperature image data in the width direction of the surface of the rolled plate and the thermal imaging temperature numerical value identification image data of the rolled plate by using an image identification algorithm, and outputting temperature distribution data in the width direction of the surface of the rolled plate;
S4, establishing a mathematical formula of the surface temperature of the rolled plate and the spraying quantity of the cooling liquid according to the relation between the temperature distribution data of the surface width direction of the rolled plate and the cooling relation of the surface of the rolled plate, and calculating and outputting the spraying quantity data of the cooling liquid of the surface width direction of the rolled plate;
S5, after the surface of the rolled plate is cooled and rolled, carrying out numerical comparison according to the thickness data of the rolled plate in the surface width direction and the design thickness data of the rolled plate in the width direction, and calculating and outputting thickness error data of the rolled plate in the width direction;
S6, measuring and analyzing the thickness error data in the width direction of the rolled plate by using a statistical method to obtain the thickness error mean value data in the width direction of the rolled plate;
S7, calling the average value data of the thickness errors in the width direction of the rolled plate to adjust the distance between working rolls of the rolling mill, and eliminating the thickness processing errors of the rolled plate.
Further, referring to fig. 1-2, the steps of collecting the thermal imaging temperature image data of the rolling plate surface on the input side of the rolling mill in the width direction and the thickness data of the rolling plate surface on the output side of the rolling mill are as follows:
S11, utilizing a plurality of groups of thermal imagers horizontally arranged along the width direction of the rolled plate to acquire thermal imaging temperature image data of the width direction of the surface of the rolled plate at the input side of the rolling mill on line and establishing a set ,WhereinIndicating the first along the width direction of the rolled plateThermal imaging temperature image data in the width direction of the surface of the rolled plate, which are acquired by the thermal imaging devices,Representing the maximum value of the number of thermal imaging temperature image data in the width direction of the surface of the rolled plate;
S12, a plurality of groups of high-temperature laser position sensors horizontally arranged along the width direction of the rolled plate collect the thickness data of the rolled plate on the output side of the rolling mill in the width direction on line and establish a set ,WhereinIndicating the first along the width direction of the rolled plateThe width direction thickness data of the surface of the rolled plate collected by the high-temperature laser position sensors,Representing the width direction of the surface of the rolled plate maximum value of the number of thickness data.
The operation steps of data preprocessing on the thermal imaging temperature image data in the width direction of the surface of the rolled plate and the thickness data in the width direction of the surface of the rolled plate are as follows:
s21, utilizing Gaussian filter algorithm to perform thermal imaging on temperature image data set in width direction of rolled plate surface And a rolled sheet surface width direction thickness data setPerforming data noise reduction pretreatment to respectively generate standard rolled plate surface width direction thermal imaging temperature image data setsAnd standard rolled sheet surface width direction thickness data set。
The hot imaging temperature image data acquisition unit in the width direction of the surface of the rolled plate and the thickness data acquisition unit in the width direction of the rolled plate are matched with each other respectively, a plurality of groups of hot forming instruments and high-temperature laser position sensors are used on the input side and the output side of the rolling mill to uniformly and accurately acquire the hot imaging temperature image data in the width direction of the surface of the rolled plate and the thickness data in the width direction of the surface of the rolled plate along the width direction of the surface of the rolled plate, so that the point-to-point accurate measurement of the surface temperature of the input side of the rolled plate is realized, the differential operation of the surface cooling operation of the rolled plate is improved, the point-to-point scientific measurement of the thickness of the output side of the rolled plate is realized, and the accurate feedback of the plate shape result of the rolled plate is ensured.
Further, referring to fig. 1-2, the steps of calculating the preprocessed thermal imaging temperature image data in the width direction of the rolled plate surface and the thermal imaging temperature numerical value identification image data of the rolled plate by using an image identification algorithm, and outputting the temperature distribution data in the width direction of the rolled plate surface are as follows:
S31, acquiring a standard rolled plate surface width direction thermal imaging temperature image data set
S32, establishing a thermal imaging temperature numerical identification image data set of the rolled plate,WhereinRepresent the firstIdentifying image data by using thermal imaging temperature values of the rolling plate,Representing the maximum value of the number of the thermal imaging temperature numerical identification image data of the rolled plate;
S33, utilizing an image recognition algorithm to conduct thermal imaging on the surface of the standard rolled plate in the width direction to obtain a temperature image data set Thermal imaging temperature image data in width direction of surface of standard rolled plateImage data set for identifying thermal imaging temperature numerical value of rolled plateImage data for identifying thermal imaging temperature numerical value of medium-rolled plateImage matching measures and calculates thermal imaging temperature image data of the surface width direction of the standard rolled plateCorresponding temperature distribution data in the width direction of the surface of the rolled plateAnd set up the collectionWhereinRepresent the firstThermal imaging temperature image data of width direction of surface of standard rolled plateCorresponding temperature distribution data in the width direction of the surface of the rolled plate;
the image recognition algorithm comprises the following steps:
Step one, setting the maximum iteration times T, searching for a prey, searching for a chameleon for the surface temperature of a rolled plate to solve the temperature saturation problem, and starting searching for the prey, namely identifying an image data set on the thermal imaging temperature value of the rolled plate Medium searching and standard rolled plate surface width direction thermal imaging temperature image dataMatched thermal imaging temperature numerical identification image data of rolled plateSearch for hunting formula as
Wherein,Searching for chameleon i in dimension j for rolled sheet surface temperaturePosition and number of iterationsThe position of the iteration number, wherein the dimension j corresponds to the dimension beingImage data set for identifying thermal imaging temperature numerical value of rolled plateThe search space is a space for a search,Is thatSearching the current optimal individual position in the space in the dimension j after the iteration times; searching chameleon i for surface temperature of rolled plate Searching the best position of the space in the dimension j after the iteration times;、 are two parameters that control exploration ability; 、、 are random numbers in [0,1], Representative of、、,The probability of searching chameleon perception hunting for the surface temperature of the rolled plate is expressed,、Respectively represent the upper limit and the lower limit of the j-th dimension, namely, the image data set is identified in the thermal imaging temperature numerical value of the rolled plateThe upper limit and the lower limit, the sgn (rand-0.5) takes a value of 1 or-1, and the exploration and development directions are influenced;
Step two, prey positioning, in which the eyes of the rolled sheet surface temperature search chameleon are independently movable, they can proficiently explore the space to position the prey, their eyes can be simultaneously seen in two different directions and simultaneously rotated and focused so that the surrounding panorama can be seen, in order to simulate this process, the authors make four settings: translating the original position of the surface temperature searching chameleon of the rolled plate to the gravity center, finding a rotation matrix for identifying the position of a prey, updating the position of the surface temperature searching chameleon of the rolled plate by using the rotation matrix at the gravity center, and moving the surface temperature searching chameleon of the rolled plate back to the original position;
the position update of the chameleon for searching the surface temperature of the rolled plate in the stage when the chameleon rotates to position the prey through eyes is simulated
In the followingIs thatSearching the average position of the chameleon i in each dimension before the position rotation after the iteration times,Color changing dragon i for indicating surface temperature search of rolled plateThe coordinates after the number of iterations of rotation,Searching chameleon i for surface temperature of rolled plateThe rotation center coordinates of the number of iterations,WhereinSearching chameleon i for surface temperature of rolled plateThe centering coordinates of the number of iterations,;A rotation matrix for indicating the surface temperature of the rolled plate to search for the position rotation of the chameleon i,Wherein,R represents a rotation matrix in each axis for two orthogonal vectors in a coordinate space; the method searches the rotation angle of the chameleon eye by the surface temperature of the rolled plate, ,Is a random value in [0,1], and sgn (rand-0.5) takes a value of 1 or-1;
Step three, capturing a prey, wherein the rolled plate surface temperature searching chameleon close to the prey is the rolled plate surface temperature searching chameleon with the best position, the rolled plate surface temperature searching chameleon attacks the prey by using the tongue of the rolled plate surface temperature searching chameleon, the position of the rolled plate surface temperature searching chameleon can be updated, the tongue of the rolled plate surface temperature searching chameleon can be reduced to twice the original length, and the speed of falling the tongue of the rolled plate surface temperature searching chameleon to the prey is defined as follows:
In the following ,Searching for chameleon i in dimension j for rolled sheet surface temperaturePosition and number of iterationsThe speed with which the tongue falls toward the prey for the number of iterations,=Control =1.75AndThe effect on the tongue velocity is that,The update mode of (a) is as followsWhere T represents the maximum number of iterations, T represents the current number of iterations,=1 Is a parameter controlling development ability, when the tongue of the rolled sheet surface temperature search chameleon is projected to a prey, its position implicitly represents the position of the rolled sheet surface temperature search chameleon;
Step four, outputting a rolled plate surface width direction temperature distribution data set when the maximum iteration number is met by the searching chameleon of the rolled plate surface temperature searching chameleon And when the maximum iteration number is not met by the surface temperature searching chameleon of the rolled plate, continuing to execute the first to third steps until the maximum iteration number is met by the surface temperature searching chameleon of the rolled plate.
According to the relation between the temperature distribution data of the surface width direction of the rolled plate and the cooling of the surface of the rolled plate, establishing a mathematical expression of the surface temperature of the rolled plate and the spraying quantity of the cooling liquid, and calculating and outputting the cooling liquid spraying quantity data of the surface width direction of the rolled plate, wherein the operation steps are as follows:
s41, acquiring a temperature distribution data set of the surface of the rolled plate in the width direction ;
S42, establishing the surface temperature of the rolled plate and the spray quantity mathematical formula of the cooling liquidWhereinThe surface temperature of the rolled plate and the spraying quantity factor of the cooling liquid are expressed,In order to fix the parameters of the device,The magnitude of the value of (a) is determined according to the relation between the surface temperature of the rolled plate and the spraying amount of the cooling liquid in the cooling practice of the rolled plate,The temperature distribution data of the width direction of the surface of the rolled plate at the thermal imaging temperature image acquisition position of the thermal forming instrument,The cooling liquid spraying flow is represented, and as the conveying speed of the plates is the same in the rolling process of rolling the plates, the cooling liquid spraying time along the width direction of the surfaces of the rolled plates is the same, and the quantity of the cooling liquid spraying quantity is positively related to the spraying flow of each cooling liquid spraying position along the width direction of the surfaces of the rolled plates;
S43, utilizing the temperature distribution data set in the width direction of the surface of the rolled plate Temperature distribution data of the surface width direction of the medium-rolled plateAnd combines the surface temperature of the rolled plate and the spray quantity mathematical formula of the cooling liquidAnd calculating the cooling liquid spraying flow data of the thermal imaging temperature image data acquisition points corresponding to the thermal imaging instrument in the width direction of the surface of the rolled plate.
The temperature measuring and calculating unit for the width direction of the rolled plate surface utilizes a chameleon optimization algorithm to identify and calculate the temperature distribution data of the width direction of the rolled plate surface by using standard thermal imaging temperature image data of the width direction of the rolled plate and thermal imaging temperature numerical identification image data of the rolled plate, so that the temperature of the rolled plate surface is safely and reliably measured, and the cooling liquid spraying amount measuring unit for the width direction of the rolled plate surface is used for accurately measuring according to the temperature distribution data of the width direction of the rolled plate surface and combining the relation between the temperature of the rolled plate surface and the cooling liquid spraying amount, so that the cooling liquid spraying amount data of temperature measuring points along the width surface of the rolled plate ensures the uniformity of the cooling temperature of the rolled plate surface, and improves the consistency of the rolled plate shape of the plate.
Further, referring to fig. 1-2, after the surface of the rolled plate is cooled and rolled, numerical comparison is performed according to the data of the thickness of the rolled plate in the width direction and the data of the designed thickness of the rolled plate in the width direction, and the operation steps for calculating and outputting the data of the thickness error of the rolled plate in the width direction are as follows:
S51, acquiring a standard rolled plate surface width direction thickness data set ;
S52, establishing design thickness data of the rolled plate in the width direction,The size of (2) depends on the model, material and specification of the rolled plate;
S53, collecting the data of the width direction thickness of the surface of the standard rolled plate All of the standard rolled sheet surface width direction thickness dataAnd the design thickness data of the rolled plate in the width directionPerforming difference comparison calculation to generate a rolled plate width direction thickness error data set,WhereinIndicating the first along the width direction of the rolled plateData of the width direction thickness of the surface of each standard rolled plateAnd the design thickness data of the rolled plate in the width directionIs a rolling plate width direction thickness error data,Represents the maximum value of the number of the thickness error data in the width direction of the rolled sheet,Taking outAnd (3) withThe absolute value of the difference calculation result is calculated, and the rolling mill generally rolls the large-size plate into a small-size plate with a certain shape in the plate rolling process, so that the thickness specification of the rolled plate meets the design specification requirement and the thickness specification of the rolled plate is larger than the design specification requirement after the plate is rolled.
The operation steps of measuring and analyzing the thickness error data in the width direction of the rolled plate by using a statistical method to obtain the thickness error mean value data in the width direction of the rolled plate are as follows:
S61, acquiring a rolled plate width direction thickness error data set ;
S62, calculating a rolling plate width direction thickness error data setThickness error data in the width direction of all rolled platesIs a rolling plate width direction thickness error mean value data。
The operation steps for adjusting the distance between the working rolls of the rolling mill and eliminating the thickness processing error of the rolled plate by calling the thickness error average value data in the width direction of the rolled plate are as follows:
S71, obtaining the thickness error mean value data of the rolled plate in the width direction And according toThe numerical value controls the movement of the working rolls of the rolling mill to reduce the distance between the two working rolls, and eliminates the thickness processing error of the rolled plate.
The rolling plate width direction thickness error data statistical analysis unit carries out mean value processing on the rolling plate width direction thickness error data to obtain a rolling plate thickness error mean value, so that the rolling plate thickness scientific and uniform adjustment is ensured, the rolling plate width direction thickness error adjustment execution unit adjusts the distance between rolling mill working rolls based on the rolling plate width direction thickness error mean value data to eliminate the rolling plate thickness processing error, realizes automatic analysis, measurement and adjustment of the rolling plate thickness, and ensures the quality and efficiency of rolling plate shape of the rolling mill.
The running system of the rolling mill thermal imaging plate shape control method comprises a rolled plate surface temperature and plate thickness data acquisition module, a rolled plate surface cooling liquid spraying amount processing module, a rolled plate width direction thickness error analysis module and a rolled plate width direction thickness error adjustment module;
The rolled plate surface temperature and plate thickness data acquisition module comprises a rolled plate surface width direction thermal imaging temperature image data acquisition unit, a rolled plate width direction thickness data acquisition unit and a rolled plate thermal imaging temperature image and thickness data preprocessing unit;
the device comprises a rolling plate surface width direction thermal imaging temperature image data acquisition unit, a rolling plate width direction thickness data acquisition unit, a rolling plate thermal imaging temperature image and thickness data preprocessing unit, a rolling plate surface width direction thermal imaging temperature image and rolling plate surface width direction thickness data preprocessing unit and a rolling plate surface width direction temperature image acquisition unit, wherein the rolling plate surface width direction thermal imaging temperature image data acquisition unit acquires rolling plate surface width direction thickness data of an input side of a rolling mill by using a thermoforming instrument;
the rolling plate surface cooling liquid spraying amount processing module comprises a rolling plate thermal imaging temperature numerical value identification image data storage unit, a rolling plate surface width direction temperature measuring and calculating unit and a rolling plate surface width direction cooling liquid spraying amount measuring unit;
The rolling plate thermal imaging temperature numerical value identification image data storage unit is used for storing rolling plate thermal imaging temperature numerical value identification image data; the device comprises a rolled plate surface width direction temperature measuring and calculating unit, a rolled plate surface width direction cooling liquid spraying amount measuring unit, a rolled plate surface width direction cooling liquid spraying amount calculating unit and a rolled plate surface cooling relation calculating unit, wherein the preprocessed rolled plate surface width direction thermal imaging temperature image data and the rolled plate thermal imaging temperature numerical identification image data are measured and calculated by an image identification algorithm, and the rolled plate surface width direction temperature distribution data are output;
The rolled plate width direction thickness error analysis module comprises a rolled plate width direction design thickness data storage unit, a rolled plate width direction thickness error data metering unit and a rolled plate width direction thickness error data statistical analysis unit;
The rolling plate width direction thickness error data measuring unit is used for carrying out numerical comparison according to the rolling plate surface width direction thickness data and the rolling plate width direction design thickness data after the rolling plate surface is cooled and rolled, and calculating and outputting the rolling plate width direction thickness error data;
The rolled plate width direction thickness error adjustment module comprises a rolled plate width direction thickness error statistical data calling unit and a rolled plate width direction thickness error adjustment executing unit;
the device comprises a rolling plate width direction thickness error statistical data calling unit, a rolling plate width direction thickness error adjustment execution unit and a rolling plate thickness adjustment execution unit, wherein the rolling plate width direction thickness error statistical data calling unit is used for calling rolling plate width direction thickness error average data, and the rolling plate width direction thickness error adjustment execution unit is used for adjusting the distance between working rolls of a rolling mill according to the rolling plate width direction thickness error average data so as to eliminate the rolling plate thickness processing error.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (2)
1. A method for controlling the shape of a hot-imaged plate of a rolling mill, comprising the steps of:
S1, acquiring thermal imaging temperature image data in the width direction of the surface of a rolled plate at the input side of a rolling mill and thickness data in the width direction of the surface of the rolled plate at the output side of the rolling mill, wherein the S1 comprises the following steps:
S11, utilizing a plurality of groups of thermal imagers horizontally arranged along the width direction of the rolled plate to acquire thermal imaging temperature image data of the width direction of the surface of the rolled plate at the input side of the rolling mill on line and establishing a set ,WhereinIndicating the first along the width direction of the rolled plateThermal imaging temperature image data in the width direction of the surface of the rolled plate, which are acquired by the thermal imaging devices,Representing the maximum value of the number of thermal imaging temperature image data in the width direction of the surface of the rolled plate;
S12, a plurality of groups of high-temperature laser position sensors horizontally arranged along the width direction of the rolled plate collect the thickness data of the rolled plate on the output side of the rolling mill in the width direction on line and establish a set ,WhereinIndicating the first along the width direction of the rolled plateThe width direction thickness data of the surface of the rolled plate collected by the high-temperature laser position sensors,A maximum value indicating the number of thickness data in the width direction of the surface of the rolled sheet;
S2, carrying out data preprocessing on the thermal imaging temperature image data in the width direction of the surface of the rolled plate and the thickness data in the width direction of the surface of the rolled plate, wherein the S2 comprises the following steps:
s21, utilizing Gaussian filter algorithm to perform thermal imaging on temperature image data set in width direction of rolled plate surface And a rolled sheet surface width direction thickness data setPerforming data noise reduction pretreatment to respectively generate standard rolled plate surface width direction thermal imaging temperature image data setsAnd standard rolled sheet surface width direction thickness data set;
S3, measuring and calculating the preprocessed thermal imaging temperature image data in the width direction of the surface of the rolled plate and the thermal imaging temperature numerical value identification image data of the rolled plate by using an image identification algorithm, and outputting temperature distribution data in the width direction of the surface of the rolled plate, wherein the S3 comprises the following steps:
S31, acquiring a standard rolled plate surface width direction thermal imaging temperature image data set
S32, establishing a thermal imaging temperature numerical identification image data set of the rolled plate,WhereinRepresent the firstIdentifying image data by using thermal imaging temperature values of the rolling plate,Representing the maximum value of the number of the thermal imaging temperature numerical identification image data of the rolled plate;
S33, utilizing an image recognition algorithm to conduct thermal imaging on the surface of the standard rolled plate in the width direction to obtain a temperature image data set Thermal imaging temperature image data in width direction of surface of standard rolled plateImage data set for identifying thermal imaging temperature numerical value of rolled plateImage data for identifying thermal imaging temperature numerical value of medium-rolled plateImage matching measures and calculates thermal imaging temperature image data of the surface width direction of the standard rolled plateCorresponding temperature distribution data in the width direction of the surface of the rolled plateAnd set up the collectionWhereinRepresent the firstThermal imaging temperature image data of width direction of surface of standard rolled plateCorresponding temperature distribution data in the width direction of the surface of the rolled plate;
the image recognition algorithm comprises the following steps:
Step one, setting the maximum iteration times T, searching for a prey, searching for a chameleon for the surface temperature of a rolled plate to solve the temperature saturation problem, and starting searching for the prey, namely identifying an image data set on the thermal imaging temperature value of the rolled plate Medium searching and standard rolled plate surface width direction thermal imaging temperature image dataMatched thermal imaging temperature numerical identification image data of rolled plateSearch for hunting formula as
Wherein,Searching for chameleon i in dimension j for rolled sheet surface temperaturePosition and number of iterationsThe position of the iteration number, wherein the dimension j corresponds to the dimension beingImage data set for identifying thermal imaging temperature numerical value of rolled plateThe search space is a space for a search,Is thatSearching the current optimal individual position in the space in the dimension j after the iteration times; searching chameleon i for surface temperature of rolled plate Searching the best position of the space in the dimension j after the iteration times;、 are two parameters that control exploration ability; 、、 are random numbers in [0,1], Representative of、、,The probability of searching chameleon perception hunting for the surface temperature of the rolled plate is expressed,、Respectively represent the upper limit and the lower limit of the j-th dimension, namely, the image data set is identified in the thermal imaging temperature numerical value of the rolled plateThe upper limit and the lower limit, the sgn (rand-0.5) takes a value of 1 or-1, and the exploration and development directions are influenced;
Step two, prey positioning, in which the eyes of the rolled sheet surface temperature search chameleon are independently movable, they can proficiently explore the space to position the prey, their eyes can be simultaneously seen in two different directions and simultaneously rotated and focused so that the surrounding panorama can be seen, in order to simulate this process, the authors make four settings: translating the original position of the surface temperature searching chameleon of the rolled plate to the gravity center, finding a rotation matrix for identifying the position of a prey, updating the position of the surface temperature searching chameleon of the rolled plate by using the rotation matrix at the gravity center, and moving the surface temperature searching chameleon of the rolled plate back to the original position;
the position update of the chameleon for searching the surface temperature of the rolled plate in the stage when the chameleon rotates to position the prey through eyes is simulated
In the followingIs thatSearching the average position of the chameleon i in each dimension before the position rotation after the iteration times,Color changing dragon i for indicating surface temperature search of rolled plateThe coordinates after the number of iterations of rotation,Searching chameleon i for surface temperature of rolled plateThe rotation center coordinates of the number of iterations,WhereinSearching chameleon i for surface temperature of rolled plateThe centering coordinates of the number of iterations,;A rotation matrix for indicating the surface temperature of the rolled plate to search for the position rotation of the chameleon i,Wherein,R represents a rotation matrix in each axis for two orthogonal vectors in a coordinate space; the method searches the rotation angle of the chameleon eye by the surface temperature of the rolled plate, ,Is a random value in [0,1], and sgn (rand-0.5) takes a value of 1 or-1;
Step three, capturing a prey, wherein the rolled plate surface temperature searching chameleon close to the prey is the rolled plate surface temperature searching chameleon with the best position, the rolled plate surface temperature searching chameleon attacks the prey by using the tongue of the rolled plate surface temperature searching chameleon, the position of the rolled plate surface temperature searching chameleon can be updated, the tongue of the rolled plate surface temperature searching chameleon can be reduced to twice the original length, and the speed of falling the tongue of the rolled plate surface temperature searching chameleon to the prey is defined as follows:
In the following ,Searching for chameleon i in dimension j for rolled sheet surface temperaturePosition and number of iterationsThe speed with which the tongue falls toward the prey for the number of iterations,=Control =1.75AndThe effect on the tongue velocity is that,The update mode of (a) is as followsWhere T represents the maximum number of iterations, T represents the current number of iterations,=1 Is a parameter controlling development ability, when the tongue of the rolled sheet surface temperature search chameleon is projected to a prey, its position implicitly represents the position of the rolled sheet surface temperature search chameleon;
Step four, outputting a rolled plate surface width direction temperature distribution data set when the maximum iteration number is met by the searching chameleon of the rolled plate surface temperature searching chameleon When the maximum iteration number is not met by the surface temperature searching chameleon of the rolled plate, continuing to execute the first to third steps until the maximum iteration number is met by the surface temperature searching chameleon of the rolled plate;
S4, establishing a mathematical expression of the surface temperature of the rolled plate and the spraying quantity of the cooling liquid according to the relation between the temperature distribution data of the surface width direction of the rolled plate and the cooling of the surface of the rolled plate, and calculating and outputting the cooling liquid spraying quantity data of the surface width direction of the rolled plate, wherein the S4 comprises the following steps:
s41, acquiring a temperature distribution data set of the surface of the rolled plate in the width direction ;
S42, establishing the surface temperature of the rolled plate and the spray quantity mathematical formula of the cooling liquidWhereinThe surface temperature of the rolled plate and the spraying quantity factor of the cooling liquid are expressed,In order to fix the parameters of the device,The magnitude of the value of (a) is determined according to the relation between the surface temperature of the rolled plate and the spraying amount of the cooling liquid in the cooling practice of the rolled plate,The temperature distribution data of the width direction of the surface of the rolled plate at the thermal imaging temperature image acquisition position of the thermal forming instrument,The cooling liquid spraying flow is represented, and as the conveying speed of the plates is the same in the rolling process of rolling the plates, the cooling liquid spraying time along the width direction of the surfaces of the rolled plates is the same, and the quantity of the cooling liquid spraying quantity is positively related to the spraying flow of each cooling liquid spraying position along the width direction of the surfaces of the rolled plates;
S43, utilizing the temperature distribution data set in the width direction of the surface of the rolled plate Temperature distribution data of the surface width direction of the medium-rolled plateAnd combines the surface temperature of the rolled plate and the spray quantity mathematical formula of the cooling liquidCalculating cooling liquid spraying flow data of a thermal imaging temperature image data acquisition point corresponding to the thermal imaging instrument in the width direction of the surface of the rolled plate;
S5, after the surface of the rolled plate is cooled and rolled, carrying out numerical comparison according to the thickness data of the rolled plate in the surface width direction and the design thickness data of the rolled plate in the width direction, and calculating and outputting thickness error data of the rolled plate in the width direction, wherein the S5 comprises the following steps:
S51, acquiring a standard rolled plate surface width direction thickness data set ;
S52, establishing design thickness data of the rolled plate in the width direction,The size of (2) depends on the model, material and specification of the rolled plate;
S53, collecting the data of the width direction thickness of the surface of the standard rolled plate All of the standard rolled sheet surface width direction thickness dataAnd the design thickness data of the rolled plate in the width directionPerforming difference comparison calculation to generate a rolled plate width direction thickness error data set,WhereinIndicating the first along the width direction of the rolled plateData of the width direction thickness of the surface of each standard rolled plateAnd the design thickness data of the rolled plate in the width directionIs a rolling plate width direction thickness error data,Represents the maximum value of the number of the thickness error data in the width direction of the rolled sheet,Taking outAnd (3) withThe absolute value of the difference calculation result is calculated, and a rolling mill generally rolls a large-size plate into a small-size plate with a certain shape in the plate rolling process, so that the thickness specification of the rolled plate meets the design specification requirement and the thickness specification of the rolled plate is larger than the design specification requirement after the plate is rolled;
s6, measuring and analyzing the thickness error data in the width direction of the rolled plate by using a statistical method to obtain the thickness error mean value data in the width direction of the rolled plate, wherein the S6 comprises the following steps:
S61, acquiring a rolled plate width direction thickness error data set ;
S62, calculating a rolling plate width direction thickness error data setThickness error data in the width direction of all rolled platesIs a rolling plate width direction thickness error mean value data;
S7, calling thickness error mean value data in the width direction of the rolled plate to adjust the distance between working rolls of a rolling mill to eliminate thickness processing errors of the rolled plate, wherein the S7 comprises the following steps:
S71, obtaining the thickness error mean value data of the rolled plate in the width direction And according toThe numerical value controls the movement of the working rolls of the rolling mill to reduce the distance between the two working rolls, and eliminates the thickness processing error of the rolled plate.
2. An operation system for realizing the rolling mill thermal imaging plate shape control method according to claim 1, wherein the system comprises a rolled plate surface temperature and plate thickness data acquisition module, a rolled plate surface cooling liquid spraying amount processing module, a rolled plate width direction thickness error analysis module and a rolled plate width direction thickness error adjustment module;
the rolled plate surface temperature and plate thickness data acquisition module comprises a rolled plate surface width direction thermal imaging temperature image data acquisition unit, a rolled plate width direction thickness data acquisition unit and a rolled plate thermal imaging temperature image and thickness data preprocessing unit;
The device comprises a rolling plate surface width direction thermal imaging temperature image data acquisition unit, a rolling plate width direction thickness data acquisition unit, a rolling plate thermal imaging temperature image and thickness data preprocessing unit, a rolling plate surface width direction thermal imaging temperature image data and rolling plate surface width direction thickness data preprocessing unit, a rolling plate surface width direction thermal imaging temperature image data acquisition unit and a rolling plate surface width direction thickness data preprocessing unit, wherein the rolling plate surface width direction thermal imaging temperature image data acquisition unit acquires rolling plate surface width direction thickness data of an input side of a rolling mill by using a thermoforming instrument;
The rolling plate surface cooling liquid spraying amount processing module comprises a rolling plate thermal imaging temperature numerical value identification image data storage unit, a rolling plate surface width direction temperature measuring and calculating unit and a rolling plate surface width direction cooling liquid spraying amount processing unit;
The rolled plate thermal imaging temperature numerical value identification image data storage unit is used for storing rolled plate thermal imaging temperature numerical value identification image data; the device comprises a rolled plate surface width direction cooling liquid spray amount measuring unit, a rolling plate surface width direction cooling liquid spray amount measuring unit and a rolling plate surface cooling unit, wherein the rolled plate surface width direction temperature measuring unit is used for measuring and calculating preprocessed rolled plate surface width direction thermal imaging temperature image data and rolled plate thermal imaging temperature numerical identification image data by using an image identification algorithm and outputting rolled plate surface width direction temperature distribution data;
The rolled plate width direction thickness error analysis module comprises a rolled plate width direction design thickness data storage unit, a rolled plate width direction thickness error data metering unit and a rolled plate width direction thickness error data statistical analysis unit;
The rolling plate width direction thickness error data measuring unit is used for carrying out numerical comparison according to the rolling plate surface width direction thickness data and the rolling plate width direction design thickness data after the rolling plate surface is cooled and rolled and calculating and outputting the rolling plate width direction thickness error data;
the rolled plate width direction thickness error adjustment module comprises a rolled plate width direction thickness error statistical data calling unit and a rolled plate width direction thickness error adjustment executing unit;
the rolling plate width direction thickness error adjustment execution unit adjusts the distance between working rolls of the rolling mill according to the rolling plate width direction thickness error average value data to eliminate the rolling plate thickness processing error.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311754158.3A CN117655112B (en) | 2023-12-19 | 2023-12-19 | Rolling mill thermal imaging plate shape control method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311754158.3A CN117655112B (en) | 2023-12-19 | 2023-12-19 | Rolling mill thermal imaging plate shape control method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117655112A CN117655112A (en) | 2024-03-08 |
| CN117655112B true CN117655112B (en) | 2024-12-20 |
Family
ID=90086298
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311754158.3A Active CN117655112B (en) | 2023-12-19 | 2023-12-19 | Rolling mill thermal imaging plate shape control method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117655112B (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101602066A (en) * | 2005-09-08 | 2009-12-16 | 株式会社日立制作所 | Rolling control apparatus and rolling control method |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06244B2 (en) * | 1984-05-09 | 1994-01-05 | 三菱電機株式会社 | Plate shape control device |
| JPH0780527A (en) * | 1993-09-07 | 1995-03-28 | Sumitomo Metal Ind Ltd | Crown control method in hot rolling |
| JP5169377B2 (en) * | 2008-03-28 | 2013-03-27 | Jfeスチール株式会社 | Method for controlling cooling of hot-rolled metal strip and method for producing hot-rolled metal strip in hot rolling |
| CN101780478B (en) * | 2009-01-21 | 2012-07-04 | 中冶赛迪工程技术股份有限公司 | Method and device for controlling strip shape and precision of hot rolling steel strips and plates |
| CN202081135U (en) * | 2011-04-22 | 2011-12-21 | 宝山钢铁股份有限公司 | Strip steel cooling device |
| KR101376565B1 (en) * | 2011-12-15 | 2014-04-02 | (주)포스코 | Method and apparatus for controlling the temperature of strip in the rapid cooling section of continuous annealing line |
| KR101746985B1 (en) * | 2015-12-23 | 2017-06-14 | 주식회사 포스코 | Cooling apparatus and method |
| CN109078990B (en) * | 2018-09-12 | 2020-07-28 | 杭州电子科技大学 | Hot-rolled strip temperature and shape synchronous online detection device |
| CN110899339A (en) * | 2019-12-04 | 2020-03-24 | 广西柳州银海铝业股份有限公司 | Rolling mill thermal imaging plate shape control method |
| CN114921641B (en) * | 2022-04-29 | 2023-07-25 | 马鞍山钢铁股份有限公司 | Method for cooling cold-rolled strip steel in annealing furnace in width direction |
-
2023
- 2023-12-19 CN CN202311754158.3A patent/CN117655112B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101602066A (en) * | 2005-09-08 | 2009-12-16 | 株式会社日立制作所 | Rolling control apparatus and rolling control method |
Non-Patent Citations (1)
| Title |
|---|
| Chameleon swarm algorithm for data processing of a light-field multi-wavelength pyrometer;Yao Chunhui等;《Optics express》;20230605;第31卷(第12期);第20200-20211页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117655112A (en) | 2024-03-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107229930B (en) | Intelligent identification method for numerical value of pointer instrument | |
| US11579162B2 (en) | Apparatus and method for measuring rotational speed of rotary shaft based on variable density sinusoidal fringe | |
| CN103971353B (en) | Splicing method for measuring image data with large forgings assisted by lasers | |
| CN102564598B (en) | Method for calibrating and correcting temperature measurement of infrared probe as well as corresponding temperature measuring method | |
| CN104266608B (en) | Field calibration device for visual sensor and calibration method | |
| CN101949746B (en) | Automatic calibration method of visual thermometer and automatic thermometer calibrator | |
| CN111964694A (en) | A laser rangefinder calibration method for three-dimensional measurement | |
| CN102840829A (en) | Manual mark-basedsystem and manual mark-based method for measuring displacement field inside high temperature object area | |
| CN111323125B (en) | A temperature measurement method, device, computer storage medium, and electronic equipment | |
| CN109945792A (en) | A kind of diameter measuring method, device and the application method of high reflective cylindrical body | |
| CN108444413A (en) | Ceramic wall and floor bricks flatness detecting device and method | |
| CN117704970A (en) | Building visual displacement monitoring system and monitoring method thereof | |
| CN114235690B (en) | Method and device for measuring surface infrared emissivity of aircraft coating | |
| Wei et al. | The research on compensation algorithm of infrared temperature measurement based on intelligent sensors | |
| CN117655112B (en) | Rolling mill thermal imaging plate shape control method | |
| CN107607195A (en) | A kind of beam quality measuring method obtained in real time based on complex amplitude | |
| CN118794547A (en) | A method for measuring target infrared radiation brightness considering ambient temperature correction | |
| Li et al. | A structured light vision sensor for online measurement of steel-plate width | |
| Li et al. | An on-line measurement method of the medium thickness steel plate based on structured light vision sensor | |
| CN110853080A (en) | Method for measuring size of field fruit | |
| CN203677065U (en) | Infrared body temperature monitoring automatic calibration system | |
| CN119779492A (en) | Multi-point temperature correction method, device and system based on visible light and thermal infrared | |
| Quan et al. | Design and test of stem diameter inspection spherical robot | |
| CN104764416B (en) | A kind of method for measuring dynamic rotation body ovality | |
| EP3280999B1 (en) | Method and system for identifying microorganisms |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |