Heating furnace billet tracking calibration method and device

Abstract

The present invention discloses a method and device for tracking and calibrating steel billets in a heating furnace. The method comprises: in a process of heating steel billets, acquiring: furnace front weight data of a first number of steel billets and furnace post-length shearing length measurement data of a second number of steel billets collected by a steel billet tracking system of the heating furnace; establishing a first comparison sequence based on the furnace front weight data of the first number of steel billets; establishing a second comparison sequence based on the furnace post-length shearing length measurement data of the second number of steel billets; establishing a possibility sequence based on the first comparison sequence, the second comparison sequence, and the correlation between the furnace front weight and the length measurement of the steel billets; acquiring the subscript index value of the maximum value in the possibility sequence, and determining the misalignment displacement value of the second number of steel billets based on the subscript index value of the maximum value in the possibility sequence; and calibrating and adjusting the steel billet tracking system of the heating furnace based on the misalignment displacement value of the second number of steel billets, so that the steel billet tracking system of the heating furnace can be automatically calibrated to improve tracking accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of bar materials, and in particular to a method and device for tracking and calibrating steel billets in a heating furnace. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. No statement herein is admitted to be prior art by virtue of its inclusion in this section.

[0003] During the steel rolling production process, if the billet is tracked incorrectly in the heating furnace, it means that the corresponding furnace data of the billet cannot be correctly tracked during the subsequent rolling process, and accurate tracking of the entire steel rolling production process cannot be achieved. In the existing technology, the stack method or step calculation method is generally used to track the billet in the heating furnace.

[0004] However, after the billet tracking system of the heating furnace is put into operation, its accuracy will decrease over time due to factors such as replacement of on-site operators, damage to detection components, and changes in operating logic. Therefore, tracking errors are relatively common. When tracking errors occur, if they are not calibrated in time, all subsequent tracking will be wrong, increasing losses. In addition, the existing tracking methods are not sufficient to achieve long-term correct tracking and automatic calibration.

[0005] To address the above issues, no effective solutions have been proposed so far. Summary of the Invention

[0006] An embodiment of the present invention provides a billet tracking calibration method for a heating furnace, which is used to automatically calibrate a billet tracking system of a heating furnace, promptly correct tracking errors, improve tracking accuracy, and reduce losses. The method includes:

[0007] During the heating process of the steel billets, the following data are collected by the steel billet tracking system of the heating furnace: the weight data of the first number of steel billets before the furnace and the length measurement data of the second number of steel billets after the furnace, wherein the first number is greater than the second number;

[0008] Establishing a first comparison sequence based on the furnace weight data of the first number of steel billets, wherein the first comparison sequence represents a comparison relationship between the furnace weights of every two adjacent steel billets within the first number range;

[0009] establishing a second comparison sequence based on the length measurement data of the second number of steel billets after furnace shearing, wherein the second comparison sequence represents a comparison relationship between the length measurements of each two adjacent steel billets after furnace shearing within the second number range;

[0010] A possibility sequence is established based on the first comparison sequence, the second comparison sequence, and the correlation between the furnace weight of the steel billet and the length measured by the multiple-length shear, wherein the possibility sequence represents multiple possibilities that the second number of steel billets within the first number range will have erroneous displacement;

[0011] Obtaining a subscript index value of a maximum value in the possibility sequence, and determining the misalignment displacement values ​​of the second number of steel billets according to the subscript index value of the maximum value in the possibility sequence;

[0012] The billet tracking system of the heating furnace is calibrated and adjusted according to the misalignment displacement values ​​of the second number of billets.

[0013] The embodiment of the present invention further provides a billet tracking calibration device for a heating furnace, which is used to automatically calibrate the billet tracking system of the heating furnace, promptly correct tracking errors, improve tracking accuracy, and reduce losses. The device includes:

[0014] a data acquisition module for acquiring, during the billet heating process, the following data, collected by the billet tracking system of the heating furnace, including the following: the weight data before the furnace of a first number of billets and the length measurement data of the second number of billets after the furnace, wherein the first number is greater than the second number;

[0015] A first comparison sequence establishing module, configured to establish a first comparison sequence based on the furnace weight data of the first number of steel billets, wherein the first comparison sequence represents a comparison relationship between the furnace weights of every two adjacent steel billets within the first number range;

[0016] A second comparison sequence establishing module is configured to establish a second comparison sequence based on the length measurement data of the second number of steel billets after furnace shearing, wherein the second comparison sequence represents a comparison relationship between the length measurements of each two adjacent steel billets after furnace shearing within the second number range;

[0017] A possibility sequence establishment module is configured to establish a possibility sequence based on the first comparison sequence, the second comparison sequence, and the correlation between the furnace weight of the steel billet and the length measured by the multiple shear, wherein the possibility sequence represents multiple possibilities of the second number of steel billets being misaligned within the first number range;

[0018] a dislocation value determination module, configured to obtain a subscript index value of a maximum value in a possibility sequence, and determine the dislocation values ​​of the second number of steel billets according to the subscript index value of the maximum value in the possibility sequence;

[0019] The calibration and adjustment module is used to calibrate and adjust the billet tracking system of the heating furnace according to the misalignment displacement values ​​of the second number of billets.

[0020] An embodiment of the present invention further provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned heating furnace billet tracking and calibration method when executing the computer program.

[0021] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned heating furnace billet tracking and calibration method is implemented.

[0022] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the above-mentioned heating furnace billet tracking and calibration method is implemented.

[0023] In an embodiment of the present invention, during the process of heating steel billets, the following data are collected by the billet tracking system of the heating furnace: the furnace weight data of a first number of steel billets and the length measurement data of the second number of steel billets after the furnace by shearing with multiple lengths are obtained; a first comparison sequence is established based on the furnace weight data of the first number of steel billets; a second comparison sequence is established based on the length measurement data of the second number of steel billets after the furnace by shearing with multiple lengths; a possibility sequence is established based on the first comparison sequence, the second comparison sequence, and the correlation between the furnace weight and the length measurement of the steel billets by shearing with multiple lengths; the subscript index value of the maximum value in the possibility sequence is obtained, and the misalignment displacement value of the second number of steel billets is determined based on the subscript index value of the maximum value in the possibility sequence; and the billet tracking system of the heating furnace is calibrated and adjusted based on the misalignment displacement value of the second number of steel billets.

[0024] By combining the billet weight data in front of the furnace and the length measurement data of the multiple shears at the back of the furnace, a billet tracking and calibration method in the heating furnace is proposed. The method can automatically detect whether there is a billet tracking misalignment problem, calculate the displacement of the tracking misalignment, and automatically correct the billet tracking misalignment problem in the heating furnace. This improves the accuracy of billet tracking and provides a technical means for realizing automatic calibration after billet tracking misalignment. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0026] Figure 1 1. It is a processing flow chart of the tracking and calibration method of the heating furnace steel billet in an embodiment of the present invention;

[0027] Figure 2 A flow chart of a method for establishing a possibility sequence in an embodiment of the present invention;

[0028] Figure 3 Schematic diagram of the structure of the billet tracking and calibration device for a heating furnace according to an embodiment of the present invention;

[0029] Figure 4 This is a schematic structural diagram of a specific example of a device for tracking and calibrating steel billets in a heating furnace according to an embodiment of the present invention;

[0030] Figure 5 FIG. 1 is a schematic diagram of the structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0031] To make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0032] The inventors discovered that during the production of bars and wire rods, the furnace's billet tracking system tracks the billet in real time after it enters the heating furnace. Over time, this tracking error can occur, leading to billet data misalignment. Manual calibration is often required after these errors occur, which is labor-intensive and has high calibration lag. To address this technical shortcoming, the inventors combined billet weight data from the furnace and length measurement data from the shearing system at the furnace's end to propose a billet tracking calibration system for the heating furnace. This system automatically detects billet tracking misalignment, calculates the displacement of the misalignment, and automatically corrects billet tracking misalignment within the furnace. This improves billet tracking accuracy and provides a technical means for achieving automatic calibration after billet tracking misalignment.

[0033] Figure 1 FIG. 1 is a processing flow chart of the heating furnace billet tracking calibration method according to an embodiment of the present invention. Figure 1 As shown, the billet tracking calibration method for a heating furnace in an embodiment of the present invention may include:

[0034] Step 101: During the billet heating process, the billet tracking system of the heating furnace is used to obtain: the weight data of a first number of billets before the furnace and the length measurement data of a second number of billets after the furnace, wherein the first number is greater than the second number;

[0035] Step 102: establishing a first comparison sequence based on the furnace weight data of the first number of steel billets, wherein the first comparison sequence represents a comparison relationship between the furnace weights of every two adjacent steel billets within the first number range;

[0036] Step 103: establishing a second comparison sequence based on the length measurement data of the second number of steel billets after furnace shearing, wherein the second comparison sequence represents the comparison relationship between the length measurements of each two adjacent steel billets after furnace shearing within the second number range;

[0037] Step 104: Establish a possibility sequence based on the first comparison sequence, the second comparison sequence, and the correlation between the furnace weight of the steel billet and the length measured by the multiple-length shear, wherein the possibility sequence represents multiple possibilities of the second number of steel billets having erroneous displacement within the first number range;

[0038] Step 105: Obtain the subscript index value of the maximum value in the possibility sequence, and determine the dislocation displacement values ​​of the second number of steel billets according to the subscript index value of the maximum value in the possibility sequence;

[0039] Step 106: Calibrate and adjust the billet tracking system of the heating furnace according to the displacement values ​​of the second number of billets.

[0040] It should be noted that the billet tracking software for heating furnaces typically only experiences errors in rare circumstances. These errors typically manifest as the tracking software displaying n billets or fewer billets than the actual production data at a given moment. This error can cause the actual billets to not match the data displayed in the tracking software when they emerge from the furnace, resulting in a displacement of n billets. While the frequency of errors in heating furnace tracking is low, once an error occurs, all subsequent billets will be displaced by n billets compared to the data displayed in the tracking software, creating a misalignment in the tracking of the billets.

[0041] In order to better analyze the phenomenon of data dislocation caused by billet tracking in the heating furnace, it is usually possible to set: if the actual billet sequence in production [g0, g1, g2, g3, g4…g t ], corresponding to the billet data sequence [G0, G1, G2, G3, G4…G t ], the billet tracking in the heating furnace is correct, and there is no data misalignment. The data misalignment displacement X = 0; if the actual billet sequence [g0, g1, g2, g3, g4…g t ], corresponding to the billet data sequence [G1, G2, G3, G4…G t+1 ], that is, the actual billet out of the furnace at this time corresponds to the data of a future billet, and the data displacement at this time is recorded as X=1; if the actual billet sequence [g1, g2, g3, g4…g t+1 ] corresponds to the billet data sequence [G0, G1, G2, G3, G4…G t ], that is, the billet actually discharged at this time corresponds to the data of the previous billet, and the data misalignment displacement at this time is recorded as X=-1.

[0042] The specific execution steps of the heating furnace billet tracking calibration method according to the embodiment of the present invention are described below:

[0043] First, step 101 is executed. During the billet heating process, the billet tracking system of the heating furnace can obtain: the weight data before the furnace of a first number of billets and the length measurement data of the second number of billets after the furnace, wherein the first number is greater than the second number.

[0044] It should be noted that during normal production, the rolling of steel billets on the rolling line is relatively stable, and there is a correlation between the weight of the steel billets in front of the furnace and the length measured by the shearing method after the furnace. That is, when several adjacent steel billets are produced, the roll gap of the rolling mill on site changes slightly and the rolling is relatively stable, which will lead to steel billets with heavier weight when weighed in front of the furnace, and their corresponding length measured by the shearing method after the furnace will be longer.

[0045] In addition, since the furnace weight data is the initial data before the billet enters the heating furnace, it can be assumed that the billet tracking software of the heating furnace has not yet made any errors, that is, the furnace weight data collected by the heating furnace billet tracking system is true and accurate data; while the post-furnace shear length measurement data is the processed data after the billet has been heated in the heating furnace. At this time, the heating furnace billet tracking misalignment may have occurred, that is, the post-furnace shear length measurement data collected by the heating furnace billet tracking system may have been misaligned. Since the misalignment displacement of the billet cannot be accurately known at this time, based on the correlation between the furnace weight of the billet and the post-furnace shear length measurement of the billet, it is possible to collect more furnace weight data of the billet relative to the number of post-furnace shear length measurement data collected, combined with the actual situation of the heating furnace billet tracking system. Therefore, the first number is greater than the second number.

[0046] In one embodiment, before obtaining the furnace weight data of the first number of steel billets and the furnace shear length measurement data of the second number of steel billets collected by the heating furnace steel billet tracking system, the following steps may be further included:

[0047] Preset the value of the second quantity; preset the value range of the misalignment displacement, wherein the value range of the misalignment displacement is set according to the actual situation of the heating furnace billet tracking system; determine the value range of the first quantity based on the value of the second quantity and the value range of the misalignment displacement.

[0048] For example, assume that n+2m billet weight data constitute the billet weight sequence:

[0049] M=[m1, m2, m3…m n …m n+2m ]

[0050] n multiple-scale shearing length measurement data constitute a multiple-scale shearing length measurement sequence:

[0051] L=[l1, l2, l3…l n ]

[0052] Here n+2m is the first quantity, n is the second quantity, m is the range of the offset displacement, m and n are positive integers. Since the direction of the offset displacement of the steel billet is uncertain, in order to accurately calculate the offset displacement, m more steel billet furnace weight data can be collected to the left and right based on the second quantity.

[0053] Next, step 102 and step 103 are executed. A first comparison sequence can be established based on the furnace weight data of the first number of steel billets, wherein the first comparison sequence represents the furnace weight comparison relationship between every two adjacent steel billets within the first quantity range; and a second comparison sequence can be established based on the furnace shearing length measurement data of the second number of steel billets, wherein the second comparison sequence represents the furnace weight comparison relationship between every two adjacent steel billets within the second quantity range.

[0054] In one embodiment, the first comparison sequence is expressed as follows:

[0055]

[0056] Among them, C m is the first comparison sequence, and Where i=1,2…n+2m, n+2m is the first number, n is the second number, m is the range of the displacement, m and n are positive integers; m i 、m i+1 、…m n+2m-1 、m n+2m , n+2m billet weight data form a billet weight sequence;

[0057] The second comparison sequence is expressed as follows:

[0058]

[0059] Among them, C l is the second comparison sequence, and Where i = 1, 2…n, n is the second number, n is a positive integer; l i-1 、l i 、…l n-1 、l n It is a multiple-scale shearing length measurement sequence consisting of n multiple-scale shearing length measurement data.

[0060] Regarding the comparison relationship in the above formula, for example, a>b? 1:0 means: if a>b, then the value is 1, otherwise it is 0; therefore, the first comparison sequence and the second comparison sequence contain multiple sequences consisting of 1s and 0s.

[0061] In specific implementation, the relationship between the weight of the adjacent two billets also conforms to the correlation mechanism between the billet weight and the length measured by the multiple shears. Therefore, the weight of the latter billet is compared with the weight of the previous billet, and the weight sequence C of the billet before the furnace is formed. m :

[0062]

[0063] Compare the length of the last billet measured by shearing with the length of the previous billet measured by shearing, and form a sequence C l :

[0064]

[0065] Then, step 104 is executed to establish a possibility sequence based on the first comparison sequence, the second comparison sequence, and the correlation between the furnace weight of the steel billet and the length measured by the multiple shear, wherein the possibility sequence represents multiple possibilities that the second number of steel billets within the first number range will have erroneous displacement.

[0066] Figure 2 Flowchart of the method for establishing a possibility sequence in an embodiment of the present invention. Figure 2 As shown, in one embodiment, based on the first comparison sequence, the second comparison sequence, and the correlation between the furnace weight of the steel billet and the length measured by the multiple shearing, a possibility sequence is established, which may include:

[0067] Step 201: Perform a sliding comparison between the second comparison sequence and the first comparison sequence from left to right within the first comparison sequence to obtain a plurality of sliding comparison results.

[0068] Step 202: Calculate multiple possibilities of erroneous displacement of a second number of steel billets within a first number range based on the multiple sliding comparison results and the correlation between the furnace weight of the steel billets and the length measured by the multiple shears;

[0069] Step 203: Establish a possibility sequence based on the multiple possibilities.

[0070] In one embodiment, multiple possibilities of a second number of steel billets having erroneous displacement within a first number range are calculated based on multiple sliding comparison results and a correlation between the furnace weight of the steel billets and the length measured by the multiple-length shear according to the following formula:

[0071]

[0072] Among them, p j C is the possibility that the second number of billets will have erroneous displacement within the first number range, m is the first comparison sequence, C lis the second comparison sequence, k is the variable of the sum function Σ, k is an integer and j≤k≤j+n, n is the second quantity, m is the value range of the misalignment displacement, and m and n are positive integers.

[0073] In specific implementation, due to the positive correlation between the furnace weight of the steel billet and the length measured by the multiple-length shear, it can be seen from the above description of the comparison sequence that if no displacement or misalignment occurs, the first comparison sequence and the second comparison sequence of the same length should also be the same (the distribution of 1 and 0 is the same).

[0074] Since the second number is included in the first number range, the corresponding second comparison sequence is also included in the first comparison sequence. Within the first comparison sequence range, the second comparison sequence is compared with the first comparison sequence in a sliding manner from left to right. This can be understood as determining, within the first comparison sequence range, whether an error displacement may occur at each position.

[0075] The probability sequence P established by the above method can be shown as follows:

[0076] P=[p1,p2,…p j …,p 2m+1 ]

[0077] After establishing the possibility sequence, executing step 105, obtaining the subscript index value of the maximum value in the possibility sequence, and determining the misalignment displacement values ​​of the second number of steel billets according to the subscript index value of the maximum value in the possibility sequence;

[0078] In one embodiment, the method includes obtaining the subscript index value of the maximum value in the possibility sequence according to the following formula, and determining the misalignment displacement values ​​of the second number of steel billets according to the subscript index value of the maximum value in the possibility sequence:

[0079] X=P.index(max(P))-m-1

[0080] Wherein, X is the displacement value of the second number of steel billets, P.index(max(P)) is the subscript index value of the maximum value in the possibility sequence, m is the value range of the displacement, and m is a positive integer.

[0081] In specific implementation, the idea of ​​the voting method can also be used to further improve the accuracy of calculating the misalignment displacement. Multiple sets of billet weight data before the furnace and billet length measurement data after the furnace are collected by the billet tracking system of the heating furnace are obtained, where the second number of each set of data is different (the corresponding first number is also different), and multiple misalignment displacement values ​​are calculated using the above method. Generally, the second number n can be set according to the error frequency of the billet tracking of the heating furnace on site. If the error frequency is not high, for example, the second number n can be set to 10, 20, and 40 respectively, and the corresponding misalignment displacements x1, x2, and x3 are calculated respectively. The specific steps for determining the misalignment displacement X according to the voting method are as follows:

[0082] 1) If x1=x2=x3, then X=x1;

[0083] 2) If x1≠x2, x2=x3, then X=x2;

[0084] 3) If x1=x2, x2≠x3, then X=x1;

[0085] 4) If x1≠x2, x1=x3, then X=x1;

[0086] 5) If any other situation occurs, X is equal to the result of the last calculation, and the default initial value of X is 0.

[0087] In step (3), the specific contents may include: selecting three groups of steel billet weight data and multiple-length shear length measurement data of different lengths, calculating the misalignment displacement of each group of data according to the aforementioned method steps, obtaining the misalignment displacement sequence [x1, x2, x3] corresponding to the data of different lengths, and then voting to obtain the final heating furnace steel billet tracking misalignment displacement X.

[0088] Finally, step 106 is executed to calibrate and adjust the billet tracking system of the heating furnace according to the displacement values ​​of the second number of billets. In specific implementation, the steps of calibrating and adjusting the billet tracking system of the heating furnace can be as follows:

[0089] (1) If X = 0, the billet tracking in the heating furnace is correct and no adjustment is required;

[0090] (2) If X>0, it means that the actual billet currently discharged matches the future billet data, so |X| empty billet data are added to the outlet side of the heating furnace.

[0091] (3) If X<0, it means that the actual billet currently discharged matches the past billet data, so the data of the last |X| billets on the outlet side of the heating furnace are deleted.

[0092] The present invention also provides a billet tracking and calibration device for a heating furnace, as described in the following embodiments. Since the principles of the device are similar to those of the billet tracking and calibration method for a heating furnace, the implementation of the device can be referenced to the implementation of the billet tracking and calibration method for a heating furnace, and any repetitions will not be repeated.

[0093] Figure 3 Schematic diagram of the structure of the billet tracking and calibration device for the heating furnace according to the embodiment of the present invention. Figure 3 As shown, the billet tracking and calibration device for a heating furnace in an embodiment of the present invention may specifically include:

[0094] The data acquisition module 301 is used to acquire, during the billet heating process, the following data collected by the billet tracking system of the heating furnace: the weight data before the furnace of a first number of billets and the length measurement data of the second number of billets after the furnace, wherein the first number is greater than the second number;

[0095] A first comparison sequence establishing module 302 is configured to establish a first comparison sequence based on the furnace weight data of a first number of steel billets, wherein the first comparison sequence represents a comparison relationship between the furnace weights of every two adjacent steel billets within a first quantity range;

[0096] A second comparison sequence establishing module 303 is configured to establish a second comparison sequence based on the length measurement data of the second number of steel billets after furnace shearing, wherein the second comparison sequence represents a comparison relationship between the length measurements of each two adjacent steel billets within the second number range;

[0097] A possibility sequence establishing module 304 is configured to establish a possibility sequence based on the first comparison sequence, the second comparison sequence, and the correlation between the furnace weight of the steel billet and the length measured by the multiple-length shear, wherein the possibility sequence represents multiple possibilities of the second number of steel billets being misaligned within the first number range;

[0098] a dislocation value determination module 305 for obtaining a subscript index value of a maximum value in the possibility sequence, and determining the dislocation values ​​of the second number of steel billets according to the subscript index value of the maximum value in the possibility sequence;

[0099] The calibration and adjustment module 306 is configured to calibrate and adjust the billet tracking system of the heating furnace according to the misalignment displacement values ​​of the second number of billets.

[0100] Figure 4 FIG. 1 is a schematic structural diagram of a specific example of a tracking and calibration device for a heating furnace steel billet according to an embodiment of the present invention. Figure 4 As shown, in the embodiment, Figure 3 The heating furnace billet tracking and calibration device shown may also include:

[0101] The value setting module 401 is used for obtaining the following data collected by the heating furnace billet tracking system in the data acquisition module 301: the weight data before the furnace of the first number of billets and the length measurement data after the furnace of the second number of billets.

[0102] Presetting a value of the second quantity;

[0103] The value range of the misalignment displacement is pre-set, wherein the value range of the misalignment displacement is set according to the actual situation of the billet tracking system of the heating furnace;

[0104] The value range of the first quantity is determined according to the value of the second quantity and the value range of the misalignment displacement.

[0105] In one embodiment, the first comparison sequence is expressed as follows:

[0106]

[0107] Among them, C m is the first comparison sequence, and Where i=1,2…n+2m, n+2m is the first number, n is the second number, m is the range of the displacement, m and n are positive integers; m i 、m i+1 、…m n+2m-1 、m n+2m , n+2m billet weight data form a billet weight sequence;

[0108] The second comparison sequence is expressed as follows:

[0109]

[0110] Among them, C l is the second comparison sequence, and Where i = 1, 2…n, n is the second number, n is a positive integer; l i-1 、l i 、…l n-1 、l n It is a multiple-scale shearing length measurement sequence consisting of n multiple-scale shearing length measurement data.

[0111] In one embodiment, the likelihood sequence establishing module 304 is specifically configured to:

[0112] Within the range of the first comparison sequence, performing a sliding comparison on the second comparison sequence and the first comparison sequence in order from left to right to obtain a plurality of sliding comparison results;

[0113] Calculating multiple possibilities of erroneous displacement of a second number of steel billets within a first number range based on multiple sliding comparison results and a correlation between the furnace weight of the steel billets and the length measured by the multiple shears;

[0114] Based on the multiple possibilities, a possibility sequence is established.

[0115] In one embodiment, the likelihood sequence establishing module 304 is specifically configured to:

[0116] According to the following formula, based on multiple sliding comparison results and the correlation between the furnace weight of the steel billet and the length measured by the multiple-length shear, multiple possibilities of the second number of steel billets having erroneous displacement within the first number range are calculated:

[0117]

[0118] Among them, p j C is the possibility that the second number of billets will have erroneous displacement within the first number range, m is the first comparison sequence, C l is the second comparison sequence, k is the variable of the summation function Σ, k is an integer and j≤k≤j+n, n is the second quantity, m is the value range of the offset displacement, and m and n are positive integers.

[0119] In one embodiment, the misalignment displacement value determination module 305 is specifically configured to:

[0120] According to the following formula, the subscript index value of the maximum value in the possibility sequence is obtained, and the misalignment displacement values ​​of the second number of steel billets are determined according to the subscript index value of the maximum value in the possibility sequence:

[0121] X=P.index(max(P))-m-1

[0122] Wherein, X is the displacement value of the second number of steel billets, P.index(max(P)) is the subscript index value of the maximum value in the possibility sequence, m is the value range of the displacement, and m is a positive integer.

[0123] Based on the above invention concept, Figure 5 As shown, the present invention also proposes a computer device 500, including a memory 510, a processor 520 and a computer program 530 stored in the memory 510 and executable on the processor 520, wherein the processor 520 implements the aforementioned heating furnace billet tracking calibration method when executing the computer program 530.

[0124] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned heating furnace billet tracking and calibration method is implemented.

[0125] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the above-mentioned heating furnace billet tracking and calibration method is implemented.

[0126] In summary, in an embodiment of the present invention, during the process of heating steel billets, the following data are collected by the heating furnace steel billet tracking system: the furnace front weight data of a first number of steel billets and the furnace post-furnace multiple-length shearing length measurement data of a second number of steel billets; a first comparison sequence is established based on the furnace front weight data of the first number of steel billets; a second comparison sequence is established based on the furnace post-furnace multiple-length shearing length measurement data of the second number of steel billets; a possibility sequence is established based on the first comparison sequence, the second comparison sequence, and the correlation between the furnace front weight and the multiple-length shearing length measurement of the steel billets; the subscript index value of the maximum value in the possibility sequence is obtained, and the misalignment displacement value of the second number of steel billets is determined based on the subscript index value of the maximum value in the possibility sequence; and the heating furnace steel billet tracking system is calibrated and adjusted based on the misalignment displacement value of the second number of steel billets.

[0127] By combining the billet weight data in front of the furnace and the length measurement data of the multiple shears at the back of the furnace, a billet tracking and calibration method in the heating furnace is proposed. The method can automatically detect whether there is a billet tracking misalignment problem, calculate the displacement of the tracking misalignment, and automatically correct the billet tracking misalignment problem in the heating furnace. This improves the accuracy of billet tracking and provides a technical means for realizing automatic calibration after billet tracking misalignment.

[0128] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0129] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0130] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0131] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0132] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for tracking and calibrating a steel billet in a heating furnace, characterized in that: include: During the heating process of the steel billets, the following data are collected by the steel billet tracking system of the heating furnace: the weight data of the first number of steel billets before the furnace and the length measurement data of the second number of steel billets after the furnace, wherein the first number is greater than the second number; Establishing a first comparison sequence based on the furnace weight data of the first number of steel billets, wherein the first comparison sequence represents a comparison relationship between the furnace weights of every two adjacent steel billets within the first number range; establishing a second comparison sequence based on the length measurement data of the second number of steel billets after furnace shearing, wherein the second comparison sequence represents a comparison relationship between the length measurements of each two adjacent steel billets after furnace shearing within the second number range; A possibility sequence is established based on the first comparison sequence, the second comparison sequence, and the correlation between the furnace weight of the steel billet and the length measured by the multiple-length shear, wherein the possibility sequence represents multiple possibilities that the second number of steel billets within the first number range will have erroneous displacement; Obtaining a subscript index value of a maximum value in the possibility sequence, and determining the misalignment displacement values ​​of the second number of steel billets according to the subscript index value of the maximum value in the possibility sequence; Calibrate and adjust the billet tracking system of the heating furnace according to the misalignment displacement values ​​of the second number of billets; The first comparison sequence is expressed as follows: Among them, C m is the first comparison sequence, and Wherein i=1,2···n+2m, n+2m is the first number, n is the second number, m is the value range of the offset displacement, and m and n are positive integers; m i 、m i+1 、…m n+2m-1 、m n+2m , n+2m billet weight data form a billet weight sequence; The second comparison sequence is expressed as follows: Among them, C l is the second comparison sequence, and Where i = 1, 2···n, n is the second number, and n is a positive integer; l i-1 、l i 、…l n-1 、l n A multiple-scale shearing length measurement sequence consisting of n multiple-scale shearing length measurement data; Establishing a possibility sequence based on the first comparison sequence, the second comparison sequence, and the correlation between the furnace weight of the steel billet and the length measured by the multiple-length shear, including: performing a sliding comparison between the second comparison sequence and the first comparison sequence from left to right within the range of the first comparison sequence to obtain a plurality of sliding comparison results; calculating, based on the plurality of sliding comparison results and the correlation between the furnace weight of the steel billet and the length measured by the multiple-length shear, a plurality of possibilities that a second number of steel billets within the first number range have erroneous displacements; and establishing the possibility sequence based on the plurality of possibilities; According to the following formula, the subscript index value of the maximum value in the possibility sequence is obtained, and the misalignment displacement values ​​of the second number of steel billets are determined according to the subscript index value of the maximum value in the possibility sequence: X=P.index(max(P))-m-1 Wherein, X is the displacement value of the second number of steel billets, P.index(max(P)) is the subscript index value of the maximum value in the possibility sequence, m is the value range of the displacement, and m is a positive integer.

2. The method according to claim 1, wherein Before obtaining the furnace front weight data of the first number of steel billets and the furnace back shear length measurement data of the second number of steel billets collected by the heating furnace steel billet tracking system, the following is also included: Presetting a value of the second quantity; The value range of the misalignment displacement is pre-set, wherein the value range of the misalignment displacement is set according to the actual situation of the billet tracking system of the heating furnace; The value range of the first quantity is determined according to the value of the second quantity and the value range of the misalignment displacement.

3. The method according to claim 1, wherein The method includes calculating multiple possibilities of erroneous displacement of the second number of steel billets within the first number range according to the following formula based on multiple sliding comparison results and the correlation between the furnace weight of the steel billets and the length measured by the multiple shears: Among them, p j C is the possibility that the second number of billets will have erroneous displacement within the first number range, m is the first comparison sequence, C l is the second comparison sequence, k is the variable of the summation function Σ, k is an integer and j≤k≤j+n, n is the second quantity, m is the value range of the offset displacement, and m and n are positive integers.

4. A billet tracking and calibration device for a heating furnace, characterized in that: include: a data acquisition module for acquiring, during the billet heating process, the following data, collected by the billet tracking system of the heating furnace, including the following: the weight data before the furnace of a first number of billets and the length measurement data of the second number of billets after the furnace, wherein the first number is greater than the second number; A first comparison sequence establishing module, configured to establish a first comparison sequence based on the furnace weight data of the first number of steel billets, wherein the first comparison sequence represents a comparison relationship between the furnace weights of every two adjacent steel billets within the first number range; A second comparison sequence establishing module is configured to establish a second comparison sequence based on the length measurement data of the second number of steel billets after furnace shearing, wherein the second comparison sequence represents a comparison relationship between the length measurements of each two adjacent steel billets after furnace shearing within the second number range; A possibility sequence establishment module is configured to establish a possibility sequence based on the first comparison sequence, the second comparison sequence, and the correlation between the furnace weight of the steel billet and the length measured by the multiple shear, wherein the possibility sequence represents multiple possibilities of the second number of steel billets being misaligned within the first number range; a dislocation value determination module, configured to obtain a subscript index value of a maximum value in a possibility sequence, and determine the dislocation values ​​of the second number of steel billets according to the subscript index value of the maximum value in the possibility sequence; a calibration and adjustment module, configured to calibrate and adjust the billet tracking system of the heating furnace according to the misalignment displacement values ​​of the second number of billets; The first comparison sequence is expressed as follows: Among them, C m is the first comparison sequence, and Wherein i=1,2···n+2m, n+2m is the first number, n is the second number, m is the value range of the offset displacement, and m and n are positive integers; m i 、m i+1 、…m n+2m-1 、m n+2m , n+2m billet weight data form a billet weight sequence; The second comparison sequence is expressed as follows: Among them, C l is the second comparison sequence, and Where i = 1, 2···n, n is the second number, and n is a positive integer; l -1 、l i 、…l n-1 、l n A multiple-scale shearing length measurement sequence consisting of n multiple-scale shearing length measurement data; The possibility sequence establishment module is specifically configured to: perform a sliding comparison between the second comparison sequence and the first comparison sequence in a left-to-right order within the first comparison sequence to obtain a plurality of sliding comparison results; calculate, based on the plurality of sliding comparison results and the correlation between the furnace weight of the steel billets and the length measured by the multiple shears, a plurality of possibilities that the second number of steel billets within the first quantity range will have erroneous displacement; and establish a possibility sequence based on the plurality of possibilities; According to the following formula, the subscript index value of the maximum value in the possibility sequence is obtained, and the misalignment displacement values ​​of the second number of steel billets are determined according to the subscript index value of the maximum value in the possibility sequence: X=P.index(max(P))-m-1 Wherein, X is the displacement value of the second number of steel billets, P.index(max(P)) is the subscript index value of the maximum value in the possibility sequence, m is the value range of the displacement, and m is a positive integer.

5. The device according to claim 4, characterized in that It also includes a value setting module for, before the data acquisition module acquires the furnace front weight data of the first number of steel billets and the furnace back multiple length shearing measurement data of the second number of steel billets collected by the heating furnace billet tracking system: Presetting a value of the second quantity; The value range of the misalignment displacement is pre-set, wherein the value range of the misalignment displacement is set according to the actual situation of the billet tracking system of the heating furnace; The value range of the first quantity is determined according to the value of the second quantity and the value range of the misalignment displacement.

6. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 3 is implemented.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.

8. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.

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