CN112361807B - Automatic identification method for water beam mark - Google Patents
Automatic identification method for water beam mark Download PDFInfo
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Abstract
The invention provides an automatic identification method for a water beam mark, and belongs to the field of steel quality control of hot rolled strips. The method comprises the following steps: determining a distribution matrix of the rough rolling outlet temperature information of the strip steel along the length direction of the strip steel; determining an extreme point in the outlet temperature information of the rough rolling of the strip steel according to the obtained distribution matrix; determining temperature difference information of the mark points of the pseudo water beam according to the temperature difference between the extreme points; screening the pseudo water beam mark points according to the actual number of the water beam mark points to obtain real water beam mark point temperature difference information; and grading the obtained real water beam mark point temperature difference information, and if the grading result is smaller than a preset fraction threshold value, judging that the water beam mark exists in the strip steel. By adopting the invention, whether the water beam mark exists in the strip steel can be automatically identified.
Description
Technical Field
The invention relates to the field of quality control of hot rolled strip steel, in particular to an automatic identification method for a water beam mark.
Background
In the walking beam type heating furnace, the billet is directly contacted with the cushion blocks on the water beam, a large amount of cooling water (or steam-water mixture) is continuously introduced into the water beam, so that the top surface temperature of the cushion blocks is relatively low, meanwhile, the water beam also has a shielding effect on the billet in the heating process, the contacting parts of the billet and the cushion blocks cannot be well heated, the temperature of the contacting parts and local areas nearby the contacting parts is relatively low when the heating is finished, the color is relatively dull, and a so-called 'water beam black mark' (for short, a water beam mark) is formed. The requirement of the modern strip steel production on the heating mass of the steel billet is high, and when the heating black mark of the steel billet is heavy, a plurality of product defects and production faults can be caused.
Therefore, how to accurately, quickly and automatically identify the water beam mark related data and judge whether the water beam mark exists provides help for timely removing equipment and production faults on a production field, and has important significance for improving the rolling stability and the product quality.
At present, most of research focuses on reducing the water beam mark degree, for example, in the patent CN103103337A method for reducing the black mark of the water beam of the steel billet of the walking beam heating furnace, the length of the water beam cushion blocks, the distance between the cushion blocks and the walking stroke of the water beam are reasonably set on the premise of not changing the equipment and the heating process, so as to achieve the purpose of reducing the time for the steel billet to contact with the cushion blocks at the same position, thereby reducing the water beam mark. Also, as in CN110388829A "a combined spacer block for reducing black mark of water beam of heating furnace and its installation method", by inventing a new spacer for heating furnace, it can not only improve the stability of spacer block installation, but also improve the service life of spacer block, reduce the processing cost of spacer block, and achieve the effect of reducing black mark of water beam.
The prior art reduces the temperature difference of the water beam mark of the hot-rolled strip steel by improving the operation method of each device and device of the heating furnace, improving the methods of a heating furnace gasket and the like. However, none of the above prior arts relates to the automatic recognition of the water beam mark of the hot rolled strip.
Disclosure of Invention
The embodiment of the invention provides an automatic identification method of a water beam mark, which can automatically identify whether the water beam mark exists in strip steel. The technical scheme is as follows:
in one aspect, an automatic identification method for a water beam mark is provided, and the method is applied to electronic equipment and comprises the following steps:
determining a distribution matrix of the rough rolling outlet temperature information of the strip steel along the length direction of the strip steel;
determining an extreme point in the outlet temperature information of the rough rolling of the strip steel according to the obtained distribution matrix;
determining temperature difference information of the mark points of the pseudo water beam according to the temperature difference between the extreme points;
screening the pseudo water beam mark points according to the actual number of the water beam mark points to obtain real water beam mark point temperature difference information;
and grading the obtained real water beam mark point temperature difference information, and if the grading result is smaller than a preset fraction threshold value, judging that the water beam mark exists in the strip steel.
Further, the determining of the distribution matrix of the rough rolling outlet temperature information of the strip steel along the length direction of the strip steel comprises:
acquiring temperature information of a rough rolling outlet of the strip steel and rolling speed information of the rough rolling outlet of the strip steel;
carrying out discrete integration on the rough rolling outlet rolling speed information of the strip steel according to sampling time to obtain a distribution matrix T of the rough rolling outlet temperature information of the strip steel along the length direction of the strip steeldata：
Wherein, Ttemper[i]For the rough rolling outlet temperature information of the strip steel, Tspeed[i]I represents the number of sampling points and T is the rolling speed information of the rough rolling outlet of the strip steeldata[i,0]Indicating the position information of the strip steel where the sampling point is numbered i, Tdata[i,1]And the temperature information of the strip steel where the sampling point number is i is shown, and t is the sampling interval time.
Further, before integrating the rolling speed information of the rough rolling outlet of the strip steel according to sampling time to obtain a distribution matrix of the temperature information of the rough rolling outlet of the strip steel along the length direction of the strip steel, the method comprises the following steps:
and triggering the operation of integrating the rolling speed information of the rough rolling outlet of the strip steel according to the sampling time according to the triggering event.
Further, the determining the extreme point in the outlet temperature information of the rough rolling of the strip steel according to the obtained distribution matrix comprises:
according to the obtained distribution matrix, determining an extreme point in the outlet temperature information of the rough rolling of the strip steel, and storing the position information, the temperature information and the extreme value attribute of the strip steel where the extreme point is located into an extreme value matrix Textre(ii) a Wherein the extreme points include: a maximum and a minimum;
and calculating the distance between the extreme points, and combining and eliminating the irrelevant interference extreme points.
Further, for maximum values, the extremum matrix TextreExpressed as:
Textre[2k,0]＝Tdata[i,0]
Textre[2k,1]＝Tdata[i,1]
Textre[2k,2]＝1
k＝0,1,2,3,......
for minimum values, the extremum matrix TextreExpressed as:
Textre[2k+1,0]＝Tdata[i,0]
Textre[2k+1,1]＝Tdata[i,1]
Textre[2k+1,2]＝0
k＝0,1,2,3,......
wherein the content of the first and second substances,extremum matrix TextreSaving distribution matrix TdataThe position information, the temperature information and the extreme value attribute of the strip steel where the extreme value point is located; t isextre[2k,0]Storing the position information of the strip steel where the maximum value point is located; t isextre[2k,1]Storing the temperature information of the maximum value point; t isextre[2k,2]Storing the extreme value attribute of the maximum value point, wherein 1 represents the maximum value; t isextre[2k+1,0]Storing the position information of the strip steel where the minimum value point is located; t isextre[2k+1,1]Storing the temperature information of the minimum value point; t isextre[2k+1,2]Storing the extreme value attribute of the minimum value point, wherein 0 represents the minimum value; i represents the sampling point number of the extreme point; k represents the number of times of occurrence of the maximum point starting from 0, the maximum value is the number of maximum values, 2k represents the maximum point number, and 2k +1 represents the minimum point number.
Further, the calculating the distance between the extreme points, and the combining and eliminating the interference extreme points includes:
if the distances between a certain extreme point and the left and right extreme points are smaller than a preset distance threshold, the certain extreme point is an interference extreme point, the three extreme points are combined into one extreme point, the position information of the new non-interference extreme point obtained through combination is stored as the average value of the position information of the left and right extreme points, the temperature information of the new non-interference extreme point is stored as the average value of the temperature information of the left, middle and right extreme points, and the extreme attribute of the new non-interference extreme point is stored as the extreme attribute of the left extreme point or the right extreme point;
and if the distance between a certain extreme point and the left and right extreme points is not smaller than a preset distance threshold value at the same time, the certain extreme point is a non-interference extreme point.
Further, for the interference extreme point, the obtained combined new non-interference extreme point is:
TEXTRE[m,0]＝(Textre[n-1,0]+Textre[n+1,0])/2
TEXTRE[m,1]＝(Textre[n-1,1]+Textre[n,1]+Textre[n+1,1])/3
TEXTRE[m,2]＝Textre[n-1,2]
m＝0,1,2,3,......
for the original non-interference extreme point:
TEXTRE[m,0]＝Textre[n,0]
TEXTRE[m,1]＝Textre[n,1]
TEXTRE[m,2]＝Textre[n,2]
m＝0,1,2,3,......
wherein, TEXTREThe system is used for storing the position information, the temperature information and the extreme value attribute of the combined new non-interference extreme point and the strip steel where the original non-interference extreme point is located; t isEXTRE[m,0]Storing the position information of the strip steel where the extreme point is located; t isEXTRE[m,1]Storing the temperature information of the extreme point; t isEXTRE[m,2]Storing the extreme value attribute of the extreme value point, wherein 1 represents a maximum value, and 0 represents a minimum value; n represents an extreme point number starting from 1; and m starts from 0 and represents the number of non-interference extreme points, and the maximum value is the number of non-interference extreme points.
Further, the determining the temperature difference information of the mark point of the pseudo water beam according to the temperature difference between the extreme points comprises:
calculating the temperature difference between each minimum value point and the left and right maximum value points, and taking the larger temperature difference as the temperature difference information of the pseudo water beam mark points:
TF_wbs[p]＝max[(TEXTRE[q+1,1]-TEXTRE[q,1]),(TEXTRE[q-1,1]-TEXTRE[q,1])]
wherein, TF_wbs[p]Representing the temperature difference information of the pseudo water beam mark points, wherein q represents the number of minimum value points starting from 1; and p starts from 0 and represents the number of the pseudo water beam marks, and the maximum value is the number of the pseudo water beam marks.
Further, the screening of the pseudo water beam mark points according to the actual number of the water beam mark points to obtain the temperature difference information of the real water beam mark points comprises the following steps:
and if the number of the water beam marks in the pseudo water beam mark points is greater than the actual number of the water beam mark points, sequentially deleting the water beam mark points with the minimum temperature difference in the pseudo water beam mark points until the number of the water beam marks in the pseudo water beam mark points is equal to the actual number of the water beam mark points, and obtaining the temperature difference information of the real water beam mark points.
Further, the scoring results are expressed as:
wherein, the Score represents the water beam mark scoring result, and the M represents the number of real water beam marks.
In one aspect, an electronic device is provided, where the electronic device includes a processor and a memory, where the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the above-mentioned automatic water beam mark identification method.
In one aspect, a computer-readable storage medium is provided, where at least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement the above-mentioned water beam mark automatic identification method.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
in the embodiment of the invention, a distribution matrix of the rough rolling outlet temperature information of the strip steel along the length direction of the strip steel is determined; determining an extreme point in the outlet temperature information of the rough rolling of the strip steel according to the obtained distribution matrix; determining the temperature difference information of the pseudo water beam mark points in the length direction of the strip steel according to the temperature difference between the extreme points; screening the pseudo water beam mark points according to the actual number of the water beam mark points to obtain real water beam mark point temperature difference information; and grading the obtained real water beam mark point temperature difference information, and if the grading result is smaller than a preset fraction threshold value, judging that the water beam mark exists in the strip steel, so that whether the water beam mark exists in the strip steel is automatically identified, and early warning is provided for timely finding the heating furnace steel burning defect in a production field.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of an automatic identification method for a water beam mark according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a temperature curve of a steel coil without a water beam mark according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a temperature curve of a steel coil with a water beam mark according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a water beam mark of 50 coils of steel which has been automatically identified according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, an embodiment of the present invention provides an automatic identification method for a water beam mark, where the method may be implemented by an electronic device, where the electronic device may be a terminal or a server, and the method includes:
s101, determining a distribution matrix of the rough rolling outlet temperature information of the strip steel along the length direction of the strip steel;
s102, determining an extreme point in the outlet temperature information of the rough rolling of the strip steel according to the obtained distribution matrix;
s103, determining temperature difference information of the mark points of the pseudo water beams according to the temperature difference between the extreme points;
s104, screening the pseudo water beam mark points according to the actual number of the water beam mark points to obtain the temperature difference information of the real water beam mark points;
and S105, grading the obtained real water beam mark point temperature difference information, and if the grading result is smaller than a preset fraction threshold value, judging that the water beam mark exists in the strip steel.
The automatic identification method of the water beam mark in the embodiment of the invention determines a distribution matrix of the rough rolling outlet temperature information of the strip steel along the length direction of the strip steel; determining an extreme point in the outlet temperature information of the rough rolling of the strip steel according to the obtained distribution matrix; determining the temperature difference information of the pseudo water beam mark points in the length direction of the strip steel according to the temperature difference between the extreme points; screening the pseudo water beam mark points according to the actual number of the water beam mark points to obtain real water beam mark point temperature difference information; and grading the obtained real water beam mark point temperature difference information, and if the grading result is smaller than a preset fraction threshold value, judging that the water beam mark exists in the strip steel, so that whether the water beam mark exists in the strip steel is automatically identified, and early warning is provided for timely finding the heating furnace steel burning defect in a production field.
In a specific implementation manner of the foregoing water beam mark automatic identification method, further, the determining a distribution matrix of the rough rolling outlet temperature information of the strip steel along the length direction of the strip steel includes:
a1, acquiring the temperature information of a rough rolling outlet of the strip steel (the actual measurement data of the temperature of the rough rolling outlet of the strip steel) and the rolling speed information of the rough rolling outlet of the strip steel (the actual measurement data of the rolling speed of the rough rolling outlet of the strip steel);
a2, deleting abnormal temperature data (indicating temperature data which is not in accordance with temperature change trend) from the collected temperature information, carrying out discrete integration on the rolling speed information of the rough rolling outlet of the strip steel according to sampling time, converting the temperature data which changes according to the time into temperature data which changes along the length of the strip steel, and obtaining a distribution matrix T of the temperature information of the rough rolling outlet of the strip steel along the length direction of the strip steeldataWherein the distribution matrix TdataExpressed as:
wherein, the distribution matrix TdataIs an Nx 2 matrix and represents the distribution information of the rough rolling outlet temperature of the strip steel in the length direction, Tdata[i,0]Indicating the position information of the strip steel where the sampling point is numbered i, Tdata[i,1]The temperature information T of the strip steel at the sampling point with the number of i is showntemper[i]For the rough rolling outlet temperature information of the strip steel, Tspeed[i]The method is the rolling speed information of a rough rolling outlet of the strip steel, N is the total number of samples, i represents the number of sampling points, and t represents the sampling interval time.
In the foregoing specific embodiment of the water beam mark automatic identification method, further before integrating the strip steel rough rolling outlet rolling speed information according to the sampling time to obtain a distribution matrix of the strip steel rough rolling outlet temperature information along the strip steel length direction (step a2), the method includes:
triggering the operation of integrating the rolling speed information of the rough rolling outlet of the strip steel according to the triggering event, wherein the triggering event comprises the following steps: biting/polishing steel at the last pass of rough rolling and starting/finishing a rough rolling outlet pyrometer.
In a specific implementation manner of the foregoing water beam mark automatic identification method, further, the determining, according to the obtained distribution matrix, an extreme point in the outlet temperature information of the rough rolling of the strip steel includes:
b1, according to the obtained distribution matrix, determining an extreme point in the rough rolling outlet temperature information of the strip steel, and storing the position information, the temperature information and the extreme attribute of the strip steel where the extreme point is located into an extreme matrix Textre(ii) a Wherein the extreme points include: a maximum and a minimum;
in this embodiment, for maximum values, the extremum matrix TextreExpressed as:
Textre[2k,0]＝Tdata[i,0]
Textre[2k,1]＝Tdata[i,1]
Textre[2k,2]＝1
k＝0,1,2,3,......
for minimum values, the extremum matrix TextreExpressed as:
Textre[2k+1,0]＝Tdata[i,0]
Textre[2k+1,1]＝Tdata[i,1]
Textre[2k+1,2]＝0
k＝0,1,2,3,......
wherein, the extreme value matrix TextreSaving distribution matrix TdataThe position information, the temperature information and the extreme value attribute of the strip steel where the extreme value point is located; t isextre[2k,0]Storing the position information of the strip steel where the maximum value point is located; t isextre[2k,1]Storing the temperature information of the maximum value point; t isextre[2k,2]Storing the extreme value attribute of the maximum value point, wherein 1 represents the maximum value; t isextre[2k+1,0]Storing the position information of the strip steel where the minimum value point is located; t isextre[2k+1,1]Storing the temperature information of the minimum value point; t isextre[2k+1,2]Storing the extreme value attribute of the minimum value point, wherein 0 represents the minimum value; i represents the sampling point number of the extreme point; k represents the number of times of occurrence of the maximum point starting from 0, the maximum value is the number of maximum values, 2k represents the maximum point number, and 2k +1 represents the minimum point number.
In this embodiment, since the maximum and minimum values are always alternately present, 3 kinds of information (position information, temperature information, and extreme value attributes) of the extreme points are directly stored in an odd-even order and a strip length order.
B2, calculating the distance between the extreme points, and combining and eliminating the irrelevant interference extreme points, which may specifically include the following steps:
if the distances between a certain extreme point and the left and right extreme points are smaller than a preset distance threshold, the certain extreme point is an irrelevant interference extreme point, the three extreme points are combined into one extreme point, the position information of the new non-interference extreme point obtained by combination is stored as the average value of the position information of the left and right extreme points, the temperature information of the new non-interference extreme point is stored as the average value of the temperature information of the left, middle and right extreme points, and the extreme attribute of the new non-interference extreme point is stored as the extreme attribute of the left extreme point or the right extreme point;
if the distance between a certain extreme point and the left and right extreme points is not smaller than a preset distance threshold value at the same time, the certain extreme point is a non-interference extreme point, and the position information, the temperature information and the extreme value attribute of the strip steel where the extreme point is located are not changed.
In this embodiment, for the interference extreme point, the obtained combined new non-interference extreme point is:
TEXTRE[m,0]＝(Textre[n-1,0]+Textre[n+1,0])/2
TEXTRE[m,1]＝(Textre[n-1,1]+Textre[n,1]+Textre[n+1,1])/3
TEXTRE[m,2]＝Textre[n-1,2]
m＝0,1,2,3,......
for the original non-interference extreme point:
TEXTRE[m,0]＝Textre[n,0]
TEXTRE[m,1]＝Textre[n,1]
TEXTRE[m,2]＝Textre[n,2]
m＝0,1,2,3,......
wherein, TEXTREThe system is used for storing the position information, the temperature information and the extreme value attribute of the combined new non-interference extreme point and the strip steel where the original non-interference extreme point is located; t isEXTRE[m,0]Storing the position information of the strip steel where the extreme point is located; t isEXTRE[m,1]Storing the temperature information of the extreme point; t isEXTRE[m,2]Storing extreme value attributes of the extreme value points, wherein 1 represents a maximum value, 0 represents a minimum value, and n represents an extreme value point number from 1; and m starts from 0 and represents the number of non-interference extreme points, and the maximum value is the number of non-interference extreme points.
In this embodiment, since the extremum attribute of the new extremum point after merging is determined by the extremum attributes of the extremum points around the extremum point, T is TEXTREThe alternation of the medium-pole attribute is not changed.
In a specific implementation manner of the foregoing method for automatically identifying a water beam mark, further, the determining temperature difference information of a pseudo water beam mark point according to a temperature difference between extreme points includes:
calculating the temperature difference between each minimum value point (data with the extreme value attribute of 0) and the left and right maximum value points, and taking the larger temperature difference value as the temperature difference information of the pseudo water beam mark point:
TF_wbs[p]＝max[(TEXTRE[q+1,1]-TEXTRE[q,1]),(TEXTRE[q-1,1]-TEXTRE[q,1])]
wherein, TF_wbsRepresenting the data of the pseudo water beam mark points, and storing the temperature difference information of all the pseudo water beam marks; t isF_wbs[p]Representing the temperature difference information of the pseudo water beam mark points, wherein q represents the number of minimum value points starting from 1; and p starts from 0 and represents the number of the pseudo water beam marks, and the maximum value is the number of the pseudo water beam marks.
In a specific implementation manner of the foregoing method for automatically identifying a water beam mark, further, the screening the pseudo water beam mark points according to the actual number of the water beam mark points to obtain the temperature difference information of the real water beam mark points includes:
and if the number of the water beam marks in the pseudo water beam mark points is greater than the actual number of the water beam mark points, sequentially deleting the water beam mark points with the minimum temperature difference in the pseudo water beam mark points until the number of the water beam marks in the pseudo water beam mark points is equal to the actual number of the water beam mark points, and obtaining the temperature difference information of the real water beam mark points.
In this embodiment, the obtained real water beam mark point temperature difference information is scored, and if the scoring result is smaller than a preset score threshold, it is determined that the water beam mark exists in the strip steel, where the scoring result is represented as:
wherein, the Score represents the water beam mark scoring result, and the M represents the number of real water beam marks.
In this embodiment, fig. 2 is a schematic diagram of a temperature curve of a steel Coil without a water beam mark, and fig. 3 is a schematic diagram of a temperature curve of a steel Coil with a water beam mark, wherein Coil #1-Coil # 6 in fig. 2 and fig. 3 represent the number of Strip steel, and Strip length represents the length of Strip steel at a rough rolling outlet; fig. 4 is a schematic diagram of a water beam mark of 50 coils of steel which has been automatically identified, wherein 1 in fig. 4 indicates the existence of the water beam mark, and 0 indicates the absence of the water beam mark.
The hot-rolled strip steel water beam mark point temperature difference information obtained in the embodiment is shown in table 1, and the water beam mark score of each strip steel and the water beam mark score of which steel coil do not meet the standard judgment condition (whether the water beam mark score is smaller than the preset score threshold value) can be checked from table 1, so that the positioning and the equipment state checking of field personnel are facilitated.
TABLE 1 Water beam printed point temp. difference information table
Note: the number of the water beam prints of the heating furnace is 8.
To sum up, the method for automatically identifying the water beam mark according to the embodiment of the invention calculates the rough rolling outlet temperature information (the measured rough rolling outlet temperature data of the strip steel) of the strip steel and the rolling speed information of the rough rolling outlet of the strip steel on line in real time to obtain the distribution matrix of the rough rolling outlet temperature information of the strip steel along the length direction of the strip steel (namely, the temperature information of the hot rolling strip steel along the length direction), calculates the temperature difference information of the real water beam mark point, further scores the obtained real water beam mark point temperature difference information, and judges whether the strip steel has the water beam mark according to the scoring result.
Fig. 5 is a schematic structural diagram of an electronic device 600 according to an embodiment of the present invention, where the electronic device 600 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 601 and one or more memories 602, where the memory 602 stores at least one instruction, and the at least one instruction is loaded and executed by the processor 601 to implement the above-mentioned water beam mark automatic identification method.
In an exemplary embodiment, there is also provided a computer readable storage medium, such as a memory, comprising instructions executable by a processor in a terminal to perform the above B11. For example, the computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. A water beam mark automatic identification method is characterized by comprising the following steps:
determining a distribution matrix of the rough rolling outlet temperature information of the strip steel along the length direction of the strip steel;
determining an extreme point in the outlet temperature information of the rough rolling of the strip steel according to the obtained distribution matrix;
determining temperature difference information of the mark points of the pseudo water beam according to the temperature difference between the extreme points;
screening the pseudo water beam mark points according to the actual number of the water beam mark points to obtain real water beam mark point temperature difference information;
grading the obtained real water beam mark point temperature difference information, and if the grading result is smaller than a preset fraction threshold value, judging that the water beam mark exists in the strip steel;
the step of determining the distribution matrix of the rough rolling outlet temperature information of the strip steel along the length direction of the strip steel comprises the following steps:
acquiring temperature information of a rough rolling outlet of the strip steel and rolling speed information of the rough rolling outlet of the strip steel;
carrying out discrete integration on the rough rolling outlet rolling speed information of the strip steel according to sampling time to obtain a distribution matrix T of the rough rolling outlet temperature information of the strip steel along the length direction of the strip steeldata：
Wherein, Ttemper[i]For the rough rolling outlet temperature information of the strip steel, Tspeed[i]I represents the number of sampling points and T is the rolling speed information of the rough rolling outlet of the strip steeldata[i,0]Indicating the position information of the strip steel where the sampling point is numbered i, Tdata[i,1]The temperature information of the strip steel where the sampling point number is i is represented, and t represents sampling interval time;
the determining of the extreme point in the rough rolling outlet temperature information of the strip steel according to the obtained distribution matrix comprises the following steps:
according to the obtained distribution matrix, determining an extreme point in the outlet temperature information of the rough rolling of the strip steel, and storing the position information, the temperature information and the extreme value attribute of the strip steel where the extreme point is located into an extreme value matrix Textre(ii) a Wherein the extreme points include: a maximum and a minimum;
calculating the distance between the extreme points, and combining and eliminating the irrelevant interference extreme points;
wherein, for maximum values, the extremum matrix TextreExpressed as:
Textre[2k,0]＝Tdata[i,0]
Textre[2k,1]＝Tdata[i,1]
Textre[2k,2]＝1
k＝0,1,2,3,......
for minimum values, the extremum matrix TextreExpressed as:
Textre[2k+1,0]＝Tdata[i,0]
Textre[2k+1,1]＝Tdata[i,1]
Textre[2k+1,2]＝0
k＝0,1,2,3,......
wherein, the extreme value matrix TextreSaving distribution matrix TdataThe position information, the temperature information and the extreme value attribute of the strip steel where the extreme value point is located; t isextre[2k,0]Storing the position information of the strip steel where the maximum value point is located; t isextre[2k,1]Storing the temperature information of the maximum value point; t isextre[2k,2]Storing the extreme value attribute of the maximum value point, wherein 1 represents the maximum value; t isextre[2k+1,0]Storing the position information of the strip steel where the minimum value point is located; t isextre[2k+1,1]Storing the temperature information of the minimum value point; t isextre[2k+1,2]Storing the extreme value attribute of the minimum value point, wherein 0 represents the minimum value; i represents the sampling point number of the extreme point; k represents the number of times of occurrence of the maximum point starting from 0, the maximum value is the number of maximum values, 2k represents the maximum point number, and 2k +1 represents the minimum point number.
2. The automatic identification method for the water beam mark according to claim 1, before integrating the rolling speed information of the rough rolling outlet of the strip steel according to sampling time to obtain a distribution matrix of the temperature information of the rough rolling outlet of the strip steel along the length direction of the strip steel, the method comprises the following steps:
and triggering the operation of integrating the rolling speed information of the rough rolling outlet of the strip steel according to the sampling time according to the triggering event.
3. The method for automatically identifying the water beam mark according to claim 1, wherein the step of calculating the distance between the extreme points and the step of combining and eliminating the interference extreme points comprises the steps of:
if the distances between a certain extreme point and the left and right extreme points are smaller than a preset distance threshold, the certain extreme point is an interference extreme point, the three extreme points are combined into one extreme point, the position information of the new non-interference extreme point obtained through combination is stored as the average value of the position information of the left and right extreme points, the temperature information of the new non-interference extreme point is stored as the average value of the temperature information of the left, middle and right extreme points, and the extreme attribute of the new non-interference extreme point is stored as the extreme attribute of the left extreme point or the right extreme point;
and if the distance between a certain extreme point and the left and right extreme points is not smaller than a preset distance threshold value at the same time, the certain extreme point is a non-interference extreme point.
4. The method for automatically identifying the water beam mark according to claim 3, wherein for the interference extreme point, the obtained combined new non-interference extreme point is as follows:
TEXTRE[m,0]＝(Textre[n-1,0]+Textre[n+1,0])/2
TEXTRE[m,1]＝(Textre[n-1,1]+Textre[n,1]+Textre[n+1,1])/3
TEXTRE[m,2]＝Textre[n-1,2]
m＝0,1,2,3,......
for the original non-interference extreme point:
TEXTRE[m,0]＝Textre[n,0]
TEXTRE[m,1]＝Textre[n,1]
TEXTRE[m,2]＝Textre[n,2]
m＝0,1,2,3,......
wherein, TEXTREFor saving the combined new non-interference extreme sumPosition information, temperature information and extreme value attributes of the strip steel where the original non-interference extreme value point is located; t isEXTRE[m,0]Storing the position information of the strip steel where the extreme point is located; t isEXTRE[m,1]Storing the temperature information of the extreme point; t isEXTRE[m,2]Storing the extreme value attribute of the extreme value point, wherein 1 represents a maximum value, and 0 represents a minimum value; n represents an extreme point number starting from 1; and m starts from 0 and represents the number of non-interference extreme points, and the maximum value is the number of non-interference extreme points.
5. The method for automatically identifying the water beam mark according to claim 4, wherein the determining of the temperature difference information of the pseudo water beam mark points according to the temperature difference between the extreme points comprises:
calculating the temperature difference between each minimum value point and the left and right maximum value points, and taking the larger temperature difference as the temperature difference information of the pseudo water beam mark points:
TF_wbs[p]＝max[(TEXTRE[q+1,1]-TEXTRE[q,1]),(TEXTRE[q-1,1]-TEXTRE[q,1])]
wherein, TF_wbs[p]Representing the temperature difference information of the pseudo water beam mark points, wherein q represents the number of minimum value points starting from 1; and p starts from 0 and represents the number of the pseudo water beam marks, and the maximum value is the number of the pseudo water beam marks.
6. The method for automatically identifying the water beam mark according to claim 5, wherein the step of screening the pseudo water beam mark points according to the actual number of the water beam mark points to obtain the temperature difference information of the real water beam mark points comprises the following steps:
and if the number of the water beam marks in the pseudo water beam mark points is greater than the actual number of the water beam mark points, sequentially deleting the water beam mark points with the minimum temperature difference in the pseudo water beam mark points until the number of the water beam marks in the pseudo water beam mark points is equal to the actual number of the water beam mark points, and obtaining the temperature difference information of the real water beam mark points.
7. The water beam mark automatic identification method according to claim 6, wherein the scoring result is expressed as:
wherein, the Score represents the water beam mark scoring result, and the M represents the number of real water beam marks.
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