CN114850420A - Method and device for predicting longitudinal cracks of casting blank - Google Patents
Method and device for predicting longitudinal cracks of casting blank Download PDFInfo
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- 238000005266 casting Methods 0.000 title claims abstract description 70
- 238000000034 method Methods 0.000 title claims abstract description 40
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 claims abstract description 35
- 229910052802 copper Inorganic materials 0.000 claims abstract description 35
- 239000010949 copper Substances 0.000 claims abstract description 35
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Abstract
The invention discloses a method and a device for predicting longitudinal cracks of a casting blank, wherein the method comprises the following steps: acquiring at least three groups of temperature data of a target predicted position of a crystallizer copper plate, wherein each group of temperature data at least comprises two temperature values, and each temperature value corresponds to different acquisition time; correspondingly obtaining the time offset of adjacent groups and the temperature deviation of each group according to the acquisition time and the temperature value of the temperature data; and if the temperature deviation and the time deviation meet preset conditions, determining that longitudinal cracks exist in the target prediction position. According to the method, at least three groups of temperature data and acquisition time are acquired at the target prediction position of the casting blank to determine whether the target prediction position has repeated concave morphology, and after the temperature deviation and the time deviation meet preset conditions, the target prediction position is determined to have longitudinal cracks, so that the purpose of accurately predicting the longitudinal cracks of the target prediction position is achieved.
Description
Technical Field
The application relates to the technical field of steelmaking continuous casting, in particular to a method and a device for predicting longitudinal cracks of a casting blank.
Background
The subcontracting steel and the high-aluminum content steel have peritectic reaction (delta + L → gamma), so the subcontracting steel is easy to shrink in the slab continuous casting process to form air gaps. The non-uniformity of the air gap causes the solidification of the blank shell to be non-uniform and the temperature gradient distribution to be non-uniform. Under the action of various complex factors such as ferrostatic pressure, thermal stress, friction force and the like, cracks are formed and developed at the weak part of the blank shell. The longitudinal cracks increase the cleaning amount of the casting blank, even lead to the cracks and steel leakage, and seriously harm the smooth production and the product quality.
Therefore, how to accurately predict the longitudinal cracks of the casting blank is a technical problem to be solved urgently at present.
Disclosure of Invention
The invention discloses a method and a device for predicting longitudinal cracks of a casting blank, which are used for accurately predicting the longitudinal cracks of the casting blank.
The embodiment of the invention provides the following scheme:
in a first aspect, an embodiment of the present invention provides a method for predicting a longitudinal crack of a casting blank, where the method includes:
acquiring at least three groups of temperature data of a target predicted position of a crystallizer copper plate, wherein each group of temperature data at least comprises two temperature values, and each temperature value corresponds to different acquisition time;
correspondingly obtaining the time offset of adjacent groups and the temperature deviation of each group according to the acquisition time and the temperature value of the temperature data;
and if the temperature deviation and the time deviation meet preset conditions, determining that longitudinal cracks exist in the target prediction position.
In an alternative embodiment, the acquiring at least three sets of temperature data of the target predicted position of the copper plate of the crystallizer comprises:
acquiring acquisition frequency and reading frequency;
measuring the surface temperature of the target prediction position according to the acquisition frequency to obtain measurement data;
and extracting the measured values in at least three groups of measured data according to the reading frequency to obtain the temperature data.
In an alternative embodiment, the measuring the surface temperature of the target predicted position according to the acquisition frequency to obtain measurement data includes:
acquiring the casting specification of the casting blank;
setting a plurality of collecting points according to the casting specification, wherein the collecting points are distributed in m rows and n rows along the pulling speed direction of the casting blank, m is more than or equal to 3, n is more than or equal to 1 and is an integer;
the plurality of acquisition points measure a surface temperature of the target predicted location at the acquisition frequency to obtain the measurement data.
In an optional embodiment, the width row spacing of the plurality of collecting points in the width direction of the casting blank is 100-200mm, and the width column spacing is 50-200mm, and the thickness row spacing of the plurality of collecting points in the thickness direction of the casting blank is 100-200mm, and the thickness column spacing is 50-100 mm.
In an optional embodiment, the obtaining, according to the acquisition time and the temperature value of the temperature data, the time offset of adjacent groups and the temperature deviation of each group correspondingly includes:
acquiring the prediction time of the longitudinal cracks;
obtaining a temperature change map according to the predicted time and the temperature data;
obtaining the time offset according to the acquisition time of the minimum temperature value of each group of the temperature data in the temperature change diagram;
and obtaining the temperature deviation according to the maximum temperature value and the minimum temperature value of the temperature values in the temperature change diagram.
In an optional embodiment, the determining that a longitudinal crack exists at the target predicted position if the temperature deviation and the time offset satisfy a preset condition includes:
acquiring a temperature deviation threshold value and a time deviation interval of the preset condition;
judging whether the temperature deviation information is larger than the temperature deviation threshold value or not, wherein the time deviation information is in the time deviation interval;
and if so, outputting a prediction result that the longitudinal crack exists in the target prediction position.
In an alternative embodiment, the temperature deviation threshold is 5 ℃, and the time offset interval E is calculated by the following formula:
wherein k is 0.8-1.2, D is the collection interval of the temperature value, and V is the pulling rate.
In a second aspect, an embodiment of the present invention further provides a device for predicting a longitudinal crack of a casting blank, where the device includes:
the acquisition module is used for acquiring at least three groups of temperature data of a target predicted position of the copper plate of the crystallizer, each group of temperature data at least comprises two temperature values, and each temperature value corresponds to different acquisition time;
the acquisition module is used for correspondingly acquiring the time offset of adjacent groups and the temperature deviation of each group according to the acquisition time and the temperature value of the temperature data;
and the determining module is used for determining that the target prediction position has the longitudinal crack when the temperature deviation and the time deviation meet preset conditions.
In a third aspect, embodiments of the present invention also provide an electronic device, including a processor and a memory, the memory being coupled to the processor, the memory storing instructions that, when executed by the processor, cause the electronic device to perform the steps of the method of any one of the first aspects.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is configured to, when executed by a processor, implement the steps of the method in any one of the first aspect.
Compared with the prior art, the method and the device for predicting the longitudinal cracks of the casting blank have the following advantages:
the method comprises the steps of indirectly measuring at least three groups of temperature data of a casting blank at a target prediction position of a crystallizer copper plate, obtaining temperature deviation through each group of temperature data, obtaining time deviation through the acquisition time of each adjacent group of temperature data to determine whether the target prediction position repeatedly has a concave shape, and determining that the target prediction position has a longitudinal crack after the temperature deviation and the time deviation meet preset conditions so as to accurately predict the longitudinal crack of the target prediction position; the real-time prediction of the longitudinal cracks on the surface of the casting blank is realized, the prediction accuracy rate reaches over 90 percent, the occurrence rate of the longitudinal cracks of the crack sensitive steel type is reduced by 15 percent, and the cleaning amount of the surface of the casting blank is reduced by 20 percent.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present specification, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for predicting longitudinal cracks of a casting blank according to an embodiment of the present invention;
FIG. 2 is a distribution plot of collection points provided by an embodiment of the present invention;
FIG. 3 is a graph of temperature change provided by an embodiment of the present invention;
FIG. 4 is a graph of longitudinal crack index versus temperature deviation provided by an embodiment of the present invention;
FIG. 5 shows various predicted results of longitudinal cracks according to an embodiment of the present invention;
FIG. 6 is a temperature variation graph and longitudinal crack prediction results of the first embodiment of the present invention;
FIG. 7 is a temperature variation graph and longitudinal crack prediction results of example two provided by an example of the present invention;
FIG. 8 is a temperature variation graph and longitudinal crack prediction results of a third example provided by the present invention;
FIG. 9 is a temperature variation graph and longitudinal crack prediction results of a fourth example provided by the present invention;
fig. 10 is a schematic structural diagram of a device for predicting a longitudinal crack of a cast slab according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by those skilled in the art based on the embodiments of the present invention belong to the scope of protection of the embodiments of the present invention.
The prediction method provided by the embodiment of the invention can be applied to a control system of a casting blank production line, and can be understood as being also applied to the prediction of longitudinal cracks in other scenes, and the following specifically explains how to accurately predict the longitudinal cracks generated on the surface of the casting blank in the process of producing the casting blank in a crystallizer.
Referring to fig. 1, fig. 1 is a flowchart of a method for predicting a longitudinal crack of a casting blank according to an embodiment of the present invention, where the method includes:
s11, obtaining at least three groups of temperature data of the target predicted position of the copper plate of the crystallizer, wherein each group of temperature data at least comprises two temperature values, and each temperature value corresponds to different acquisition time.
Specifically, the casting blank is formed in the crystallizer, the target prediction position can be determined according to the position point to be predicted on the casting blank, and the longitudinal crack of the outer surface of the casting blank can be comprehensively predicted. The temperature values measured at the target prediction position by different collection times are respectively and correspondingly distributed to different temperature data groups, for example, the temperature data comprises a first group, a second group and a third group, the target prediction position is respectively distributed to the first group, the second group and the third group by three temperature measurements for the first time through different collection points along the pulling speed direction, and the next measurement is correspondingly distributed to the first group, the second group and the third group. The temperature data may be measured in real time by a temperature sensor, which may be a thermocouple. And (3) recording the acquisition time at the same time of measuring one temperature value of the predicted position of the target, and correspondingly recording and storing the temperature value and the acquisition time.
In practical application, the data volume of real-time measured temperature data is large, so that calculation redundancy is caused when longitudinal crack analysis is subsequently carried out.
In a specific embodiment, at least three sets of temperature data of the target predicted position of the copper plate of the crystallizer are obtained, and the temperature data comprise:
acquiring acquisition frequency and reading frequency; measuring the surface temperature of the target prediction position according to the acquisition frequency to obtain measurement data; and extracting the measured values in at least three groups of measured data according to the reading frequency to obtain temperature data.
Specifically, the acquisition frequency is the real-time acquisition frequency of the surface temperature, and can be determined according to the model of the temperature sensor, and is usually 0.05-0.1 s; the reading frequency T can be calculated according to the formula: T50V c Wherein V is c For the casting speed (m/min), the reading frequency can also be freely set according to the actual experience of the technician at present. The data processing amount is reduced through the setting of the reading frequency, and the smoothness of the whole operation of the production system is better while the accurate prediction of the longitudinal cracks can be ensured.
In one embodiment, measuring the surface temperature of the target at the predicted position according to the acquisition frequency to obtain measurement data includes:
acquiring the casting specification of a casting blank; setting a plurality of collecting points according to casting specifications, wherein the collecting points are distributed in m rows and n rows along the pulling speed direction of a casting blank, and m is more than or equal to 3, n is more than or equal to 1 and is an integer; the plurality of acquisition points measure the surface temperature of the target predicted position at an acquisition frequency to obtain measurement data.
Specifically, referring to fig. 2, the collection points are distributed in a rectangular lattice manner, m rows of collection points are transversely arranged, n rows of collection points are longitudinally arranged, when the casting blank moves in the crystallizer, the surface temperature of the casting blank is measured by each collection point in real time at a collection frequency, and the same target measurement point is measured at least 3 times.
In practical applications, the shorter the distance between the columns, the smaller the blind area for predicting the longitudinal cracks, but the higher the installation cost of the temperature sensor, so that it is necessary to ensure the accuracy of the prediction and also to achieve cost economy.
In a specific embodiment, the width row spacing of the plurality of collecting points in the width direction of the casting blank is 100-200mm, and the width column spacing is 50-200mm, and the thickness row spacing of the plurality of collecting points in the thickness direction of the casting blank is 100-200mm, and the thickness column spacing is 50-100 mm.
Specifically, as can be understood by those skilled in the art, the collection points may be selected within the above interval according to the specification of the casting blank, at least 8 rows of collection points in the width direction of the casting blank may be generally set, at least 2 rows of collection points in the thickness direction of the casting blank may be generally set, if the distance between the collection points exceeds the above interval, the prediction of the longitudinal crack is not accurate enough, and if the distance between the collection points exceeds the above interval, the installation cost of the temperature sensor smaller than the above interval is too high, and the distance between the above intervals can take into account the economic efficiency of the cost and the prediction accuracy. The temperature data is acquired and the process proceeds to step S12.
And S12, correspondingly obtaining the time offset of adjacent groups and the temperature deviation of each group according to the acquisition time and the temperature value of the temperature data.
Specifically, at least three groups of temperature data exist in the target prediction position, each group of temperature data corresponds to different acquisition time, time offset can be obtained through the acquisition time difference of two adjacent groups of temperature data, temperature deviation can be obtained through the difference of the maximum value and the minimum value in each group of temperature data, and at least three temperature deviations and two corresponding time offsets exist in one target prediction position.
In a specific embodiment, obtaining the time offset and the temperature deviations of the groups according to the temperature values of the acquisition time and temperature data comprises:
acquiring the prediction time of the longitudinal cracks; obtaining a temperature change diagram according to the predicted time and temperature data; acquiring time offset according to the acquisition time of the minimum temperature value of each group of temperature data in the temperature change diagram; and obtaining the temperature deviation according to the maximum temperature value and the minimum temperature value of the temperature values in the temperature change graph.
Specifically, the duration and the time period of the predicted time can be selected according to actual prediction requirements, taking setting of 3 rows of collection points as an example, please refer to fig. 3, the predicted time is 120-190s of the casting time, a temperature change diagram can be fitted through temperature data in the predicted time, the temperature change diagram is respectively a first row, a second row and a third row, and the maximum value T of all thermocouple temperatures in the first three rows of the predicted time T is found max (see point A in FIG. 3) and a minimum value T min (see point B in FIG. 3), T max ＝max(T1、T2、T3)，T min Min (T1 ', T2 ', T3 '), calculating the temperature deviation H-T max -T min The temperature deviations H1, H2 and H3 can be obtained correspondingly, and the time offsets E1 and E2 can be obtained through the minimum value of the temperature curves of each row in the temperature change diagram. The temperature deviation and the time offset are obtained, and the process proceeds to step S13.
And S13, if the temperature deviation and the time deviation meet preset conditions, determining that longitudinal cracks exist in the target prediction position.
Specifically, the preset condition may be determined according to actual experience of a technician, and may be determined by a test calibration test, and the predicted point may be characterized by the preset condition that the concave morphology repeatedly appears, and after the temperature deviation and the time offset satisfy the preset condition, it is determined that the target predicted position has a longitudinal crack, and the predicted result is output, and may be characterized in a binary manner. Referring to fig. 5, output 1 indicates the presence of longitudinal cracks, and output 0 indicates the absence of longitudinal cracks.
In a specific embodiment, if the temperature deviation and the time offset satisfy the preset conditions, determining that the target predicted position has a longitudinal crack includes:
acquiring a temperature deviation threshold value and a time deviation interval of preset conditions; judging whether the temperature deviation information is larger than a temperature deviation threshold value or not, wherein the time deviation information is in a time deviation interval; and if so, outputting a prediction result that the longitudinal crack exists in the target prediction position.
Specifically, referring to fig. 4, when a casting blank is produced in a crystallizer, a relationship between a longitudinal crack index and a thermocouple temperature difference is established through field practice, and it can be known that: for example, the air gap generated by the copper plate/blank shell of the crystallizer is small, the heat transfer unevenness is small, the temperature difference of the copper plate thermocouple is less than 5 ℃, and the longitudinal crack defect cannot be generated. The temperature difference measured by the three heat discharge couples is more than 5 ℃, which shows that the heat transfer unevenness is high and crack defects are easy to generate. The temperature difference of the copper plates of the crystallizer is more than 5 ℃, the longitudinal crack index is 0.8, which indicates that longitudinal cracks are likely to occur, and the longitudinal cracks at the target prediction position can be determined. The time offset interval can be determined according to the acquisition interval and the pulling speed, and the target positions of the thermocouple measurement in the second row and the thermocouple measurement in the third row can be determined in the time offset interval.
In a specific embodiment, the temperature deviation threshold is 5 ℃, and the time deviation interval E is calculated by the following formula:
Specifically, the time offset interval can be calculated by the above formula, and the areas near the target predicted position measured by the second row and the third row of the collection points can be determined by the time offset interval.
In the following, the three-heat discharge couple is installed as an example, and the prediction method is applied to a longitudinal crack prediction system to predict the longitudinal crack of the casting slab.
Example one
The carbon content in the casting blank is 0.09 percent, the thickness of the casting blank is 237mm, the width of the casting blank is 1200mm, and the pulling speed Vc is stably controlled at 1.4 m/min. Thermocouples are respectively arranged on the wide surface and the narrow surface of a crystallizer copper plate, the thermocouples are arranged at intervals of 111mm in the thickness direction of a casting blank and at intervals of 185mm in the width direction, the row spacing of a first row of thermocouples and a second row of thermocouples is 111mm, the row spacing of a second row of thermocouples and a third row of thermocouples is 185mm, 9 rows of wide surface thermocouples and 2 rows of narrow surface thermocouples are arranged; the thermocouples on the wide side and the narrow side were all 6 rows. The copper plate temperature acquisition system acquires thermocouple temperature measurement data arranged on the wide surface and the narrow surface of the copper plate every 0.06s, matches the thermocouple temperature measurement data with the pulling speed, and reads and analyzes a temperature-time corresponding relation map every 70 s; finding out the maximum value T of the temperatures of all thermocouples in the first three rows in the T time period max And a minimum value T min Calculating the difference value H ═ T between the maximum value and the minimum value max -T min 。
And the thermocouple copper plate temperature acquisition system acquires the temperature data of the crystallizer copper plate arranged on the wide surface and the narrow surface of the copper plate in real time. Detecting that the maximum and minimum difference H1 of the temperature of a first row of thermocouples in 70s is 10.5 ℃, the maximum and minimum difference H2 of the temperature of a second heat-discharging thermocouple in 70s is 7.5 ℃, the maximum and minimum difference H3 of a third heat-discharging thermocouple in 70s is 5.5 ℃, the deviation time E1 of the lowest point of the temperature curve from the first row to the third row is 4.5s, and the condition that E1 is 0.95 x (D1/Vc) is met; the shift time E2 from the second row to the third row of the lowest point of the temperature curve is detected to be 4.7s, and E2 is 0.98 x (D2/Vc). Referring to fig. 6, the output of the longitudinal crack prediction system is 1, and the surface detection system detects that a longitudinal crack appears on the surface, and the appearance position of the longitudinal crack coincides with the predicted position.
Example two
The carbon content in the casting blank is 0.10%, the thickness of the plate blank is 230mm, the width is 1200mm, the pulling speed Vc is stably controlled to be 1.5m/min, thermocouples are respectively arranged on the wide surface and the narrow surface of a copper plate of the crystallizer, the thermocouples are arranged at intervals of 115mm in the thickness direction of the casting blank, the thermocouples are arranged at intervals of 115mm in the width direction of the casting blank, 11 rows of the thermocouples in the width direction and heat in the thickness direction1 column of galvanic couples; the thermocouples in the width direction and the thickness direction were 3 rows. The copper plate temperature acquisition system measures the temperature data of the surface of the casting blank every 0.05s, matches the casting speed, and reads and analyzes a temperature-time corresponding relation map every 75 s; finding out the maximum value T of the temperatures of all thermocouples in the first three rows within the predicted time T max And a minimum value T min Calculating the difference value H ═ T between the maximum value and the minimum value max -T min 。
Detecting that the temperature deviation H1 of the first row thermocouple temperature is 12.5 ℃ within 75s, the temperature deviation H2 of the second row thermocouple temperature is 6.7 ℃ within 75s, the temperature deviation H3 of the third row thermocouple temperature is 5.1 ℃ within 75s, the deviation time E1 of the lowest point of the detected temperature curve from the first row to the second row is 5.1s, and the requirement that E1 is 0.96 x (D1/Vc) is met; the shift time E2 from the second row to the third row of the lowest point of the temperature curve is detected to be 5.0s, and E2 is 0.94 x (D2/Vc). Referring to fig. 7, the output of the longitudinal crack prediction system is 1, and the surface detection system detects that a longitudinal crack appears on the surface, and the appearance position of the longitudinal crack coincides with the predicted position.
EXAMPLE III
The carbon content in the casting blank is 0.08 percent, the thickness of the plate blank is 237mm, the width is 1100mm, and the pulling speed Vc is stably controlled at 1.7 m/min. Thermocouples are respectively arranged in the width direction and the thickness direction of a crystallizer copper plate, the transverse interval of the thermocouples on the wide surface is controlled to be 111mm, the longitudinal interval is controlled to be 185mm, the row interval of a first row of thermocouples and a second row of thermocouples is 111mm, the row interval of the second row of thermocouples and a third row of thermocouples is 185mm, 9 rows of wide surface thermocouples and 2 rows of narrow surface thermocouples are arranged; the thermocouples on the wide side and the narrow side were all 6 rows. The copper plate temperature acquisition system acquires thermocouple temperature measurement data arranged on the wide surface and the narrow surface of the copper plate every 0.06s, matches the thermocouple temperature measurement data with the pulling speed, and reads and analyzes a temperature-time corresponding relation map every 85 s; finding out the maximum value T of the temperatures of all thermocouples in the first three rows in the T time period max And a minimum value T min Calculating the temperature deviation H ═ T max -T min 。
And the thermocouple copper plate temperature acquisition system acquires the temperature data of the crystallizer copper plate arranged on the wide surface and the narrow surface of the copper plate in real time. Detecting that the temperature deviation H1 of a first row of thermocouples is 1.2 ℃ in 85s, the temperature deviation H2 of a second row of thermocouples is 0.8 ℃ in 85s, the temperature deviation H3 of a third row of thermocouples is 1.3 ℃ in 85s, the deviation time E1 to 52s from the lowest point of a temperature curve to the third row is detected, and the requirement that E1 is 0.1 x (D1/Vc) is met; the shift time E2 from the second row to the third row of the lowest point of the temperature curve is detected to be 32s, and E2 is 0.16 x (D2/Vc). Referring to fig. 8, the output of the longitudinal crack prediction system is 0, and no longitudinal crack is detected by the surface inspection system.
Example four
The carbon content in the casting blank is 0.08%, the thickness of the slab is 230mm, the width is 1600mm, the pulling speed Vc is stably controlled at 1.2m/min, thermocouples are respectively installed on the wide surface and the narrow surface of the copper plate of the crystallizer, the transverse interval of the thermocouples on the wide surface is controlled at 115mm, the transverse interval of the narrow surfaces is controlled at 115mm, 11 rows of the thermocouples on the wide surface and 1 row of the thermocouples on the narrow surface are arranged; the wide-face and narrow-face thermocouples were all 3 rows. The copper plate temperature acquisition system acquires thermocouple temperature measurement data arranged on the wide surface and the narrow surface of the copper plate every 0.05s, matches the thermocouple temperature measurement data with the pulling speed, and reads and analyzes a temperature-time corresponding relation map every 60 s; finding out the maximum value T of the temperatures of all thermocouples in the first three rows in the T time period max And a minimum value T min Calculating the difference value H ═ T between the maximum value and the minimum value max -T min 。
And the thermocouple copper plate temperature acquisition system acquires the temperature data of the crystallizer copper plate arranged on the wide surface and the narrow surface of the copper plate in real time. The temperature deviation H1 was 0.2 ℃ when the first row thermocouple temperature was detected at 85s, the temperature deviation H2 was 0.1 ℃ when the second row thermocouple temperature was detected at 85s, and the temperature deviation H3 was 0.2 ℃ when the third row thermocouple temperature was detected at 85 s. Detecting the shift time E1 from the lowest point of the temperature curve to the second discharge from the first discharge to the second discharge, wherein E1 is 0.19 x (D1/Vc); the shift time E2 from the second row to the third row of the lowest point of the temperature curve is detected to be 26.2s, and E2 is 0.22 x (D2/Vc). Referring to fig. 9, the output of the longitudinal crack prediction system is 0, and no longitudinal crack occurs on the surface of the casting blank through manual and actual inspection.
Based on the same inventive concept as the prediction method, an embodiment of the present invention further provides a device for predicting longitudinal cracks of a casting blank, referring to fig. 10, where the device includes:
the acquiring module 101 is used for acquiring at least three groups of temperature data of a target predicted position of the copper plate of the crystallizer, wherein each group of temperature data at least comprises two temperature values, and each temperature value corresponds to different acquisition time;
an obtaining module 102, configured to correspondingly obtain time offsets of adjacent groups and temperature deviations of each group according to the acquisition time and the temperature value of the temperature data;
and the determining module 103 is configured to determine that a longitudinal crack exists at the target predicted position when the temperature deviation and the time offset meet preset conditions.
Based on the same inventive concept as the prediction method, an embodiment of the present invention further provides an electronic device, including a processor and a memory, the memory being coupled to the processor, the memory storing instructions that, when executed by the processor, cause the electronic device to perform the steps of any one of the prediction methods.
Based on the same inventive concept as the prediction method, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, wherein the program, when executed by a processor, implements the steps of any one of the prediction methods.
The technical scheme provided by the embodiment of the invention at least has the following technical effects or advantages:
at least three groups of temperature data of a casting blank are indirectly measured at a target prediction position of a crystallizer copper plate, temperature deviation is obtained through every two adjacent temperature data, time deviation is obtained through every two adjacent acquisition times, whether the target prediction position has repeated concave morphology or not is determined, and after the temperature deviation and the time deviation meet preset conditions, the target prediction position is determined to have longitudinal cracks, so that the aim of accurately predicting the longitudinal cracks of the target prediction position is achieved; the real-time prediction of the longitudinal cracks on the surface of the casting blank is realized, the prediction accuracy rate reaches over 90 percent, the occurrence rate of the longitudinal cracks of the crack sensitive steel type is reduced by 15 percent, and the cleaning amount of the surface of the casting blank is reduced by 20 percent.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (modules, systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A method for predicting a longitudinal crack of a cast slab, the method comprising:
acquiring at least three groups of temperature data of a target predicted position of a crystallizer copper plate, wherein each group of temperature data at least comprises two temperature values, and each temperature value corresponds to different acquisition time;
correspondingly obtaining the time offset of adjacent groups and the temperature deviation of each group according to the acquisition time and the temperature value of the temperature data;
and if the temperature deviation and the time deviation meet preset conditions, determining that longitudinal cracks exist in the target prediction position.
2. The method for predicting the longitudinal crack of the cast slab according to claim 1, wherein the obtaining of at least three sets of temperature data of the target predicted position of the copper plate of the mold comprises:
acquiring acquisition frequency and reading frequency;
measuring the surface temperature of the target prediction position according to the acquisition frequency to obtain measurement data;
and extracting the measured values in at least three groups of measured data according to the reading frequency to obtain the temperature data.
3. The method for predicting the longitudinal crack of the cast slab according to claim 2, wherein the step of measuring the surface temperature of the target prediction position according to the acquisition frequency to obtain measurement data comprises:
acquiring the casting specification of the casting blank;
setting a plurality of collecting points according to the casting specification, wherein the collecting points are distributed in m rows and n rows along the pulling speed direction of the casting blank, m is more than or equal to 3, n is more than or equal to 1 and is an integer;
the plurality of acquisition points measure a surface temperature of the target predicted location at the acquisition frequency to obtain the measurement data.
4. The method for predicting the longitudinal crack of the casting blank according to claim 3, wherein the width row spacing of the plurality of collecting points in the width direction of the casting blank is 100-200mm, the width row spacing is 50-200mm, and the thickness row spacing of the plurality of collecting points in the thickness direction of the casting blank is 100-200mm, and the thickness row spacing is 50-100 mm.
5. The method for predicting the longitudinal crack of the casting blank according to claim 1, wherein the step of correspondingly obtaining the time offset of adjacent groups and the temperature deviation of each group according to the acquisition time and the temperature value of the temperature data comprises the following steps:
acquiring the prediction time of the longitudinal crack;
obtaining a temperature change map according to the predicted time and the temperature data;
obtaining the time offset according to the acquisition time of the minimum temperature value of each group of the temperature data in the temperature change diagram;
and obtaining the temperature deviation according to the maximum temperature value and the minimum temperature value of the temperature values in the temperature change diagram.
6. The method for predicting the longitudinal crack of the casting blank according to claim 1, wherein the step of determining that the longitudinal crack exists at the target prediction position if the temperature deviation and the time offset meet preset conditions comprises the following steps:
acquiring a temperature deviation threshold value and a time deviation interval of the preset condition;
judging whether the temperature deviation information is larger than the temperature deviation threshold value or not, wherein the time deviation information is in the time deviation interval;
and if so, outputting a prediction result that the longitudinal crack exists in the target prediction position.
7. The method for predicting the longitudinal crack of the cast slab according to claim 5, wherein the temperature deviation threshold is 5 ℃, and the time shift interval E is calculated and obtained by the following formula:
wherein k is 0.8-1.2, D is the collection interval of the temperature value, and V is the pulling rate.
8. An apparatus for predicting a longitudinal crack of a cast slab, comprising:
the acquisition module is used for acquiring at least three groups of temperature data of a target predicted position of the copper plate of the crystallizer, each group of temperature data at least comprises two temperature values, and each temperature value corresponds to different acquisition time;
the acquisition module is used for correspondingly acquiring the time offset of adjacent groups and the temperature deviation of each group according to the acquisition time and the temperature value of the temperature data;
and the determining module is used for determining that the target prediction position has the longitudinal crack when the temperature deviation and the time deviation meet preset conditions.
9. An electronic device comprising a processor and a memory coupled to the processor, the memory storing instructions that, when executed by the processor, cause the electronic device to perform the steps of the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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