H-shaped steel correcting equipment

Abstract

The invention provides H-shaped steel correction equipment, and relates to the technical field of H-shaped steel correction, and the equipment comprises a second correction device and a detection device; an output shaft of the driving motor is in transmission connection with the straightening roller through a worm and gear speed reducer; the detection device comprises a data processing module and a plurality of detectors; acquiring a displacement matrix HA corresponding to the H-shaped steel; determining the elements in the HA as abnormal elements, wherein the difference value between the elements and the preset standard displacement is greater than a preset difference value threshold value; according to the position relation of the abnormal elements in the HA, determining a deformation area corresponding to the H-shaped steel; determining a correction force control strategy corresponding to the deformation area according to the displacement characteristics corresponding to the deformation area and a preset correction force control strategy; when the deformation area of the H-shaped steel reaches a straightening roller, a driving motor is controlled to execute a corresponding straightening force control strategy; the defect of over-correction or insufficient correction caused by traditional extensive force application is overcome, and it is ensured that correction force is accurately matched with deformation characteristics.

Description

Technical Field

[0001] The present invention relates to the technical field of H-beam correction, in particular to an H-beam correction device. Background Art

[0002] H-beam is an important building structural material. The verticality and overall straightness of its web and flange directly affect the safety and stability of the engineering structure. During the rolling, transportation and welding process, H-beams often produce complex deformations such as web distortion and flange tilt due to factors such as temperature stress and mechanical stress. Traditional correction equipment mostly adopts overall pressurization or single-dimensional straightening correction methods, which have two prominent technical problems: first, there is a lack of real-time and accurate detection of the three-dimensional deformation of H-beams, and it is impossible to effectively identify local abnormal deformation areas, resulting in blind spots in the correction operation; second, the correction force is applied in a rough way, which makes it difficult to dynamically adjust according to different deformation characteristics, which can easily lead to over-correction or under-correction. Summary of the Invention

[0003] In response to the above technical problems, the present invention provides an H-beam straightening device to solve the technical problems in the prior art that the local abnormal deformation area cannot be effectively identified, resulting in blind spots in the straightening operation and easily causing over-correction or under-correction. The H-beam straightening device includes: a second straightening device and a detection device; the second straightening device includes a drive motor, a straightening roller and a worm gear reducer, and the output shaft of the drive motor is connected to the straightening roller through the worm gear reducer to apply a straightening force to the straightening roller; The detection device includes a data processing module and a plurality of detection rollers, each of which is arranged perpendicular to the surface of the H-beam; each detection roller is provided with an elastic expansion device and a displacement sensor, the elastic expansion device is used to contact the detection roller with the surface of the H-beam, and the displacement sensor is used to measure the vertical displacement of the detection roller on the surface of the H-beam; The data processing module is used to perform the following steps: S100, obtaining the displacement detected by each displacement sensor at each detection moment during the H-beam transmission process to obtain a displacement matrix HA corresponding to the H-beam; HA includes a plurality of rows and a plurality of columns, each row corresponds to a detection moment, and each column corresponds to a detection roller; S200, determining an element in the HA whose difference from a preset standard displacement is greater than a preset difference threshold as an abnormal element; S300, determining the deformation region corresponding to the H-beam according to the positional relationship of the abnormal elements in the HA; S400, determining a corrective force control strategy corresponding to the deformed area according to the displacement characteristics corresponding to the deformed area and a preset corrective force control strategy; S500: When the deformed area of the H-beam reaches the correction roller, the drive motor is controlled to execute the corresponding correction force control strategy.

[0004] The present invention has at least the following beneficial effects: The H-beam correction equipment of the present invention realizes synchronous dynamic monitoring of the three-dimensional deformation of the web and flange by distributing multiple detection rollers vertically along the surface of the H-beam in combination with the synergistic effect of the elastic expansion and contraction device and the displacement sensor. The elastic expansion and contraction device ensures that the detection roller is in continuous contact with the surface of the H-beam, and the displacement sensor collects vertical displacement data in real time to construct a displacement matrix HA, which solves the problem of blind spots in the detection of local abnormal deformations of traditional equipment and significantly improves the recognition accuracy of complex deformations; based on the abnormal element analysis of the displacement matrix HA, the deformation area is quickly located through the spatial position relationship, and the mapping relationship between the displacement characteristics and the preset correction strategy is combined to dynamically adjust the force parameters of the correction roller driven by the worm gear reducer, overcoming the defects of over-correction or under-correction caused by traditional extensive force application, ensuring that the correction force is accurately adapted to the deformation characteristics.

[0005] Furthermore, the closed-loop control architecture of the detection device and the second correction device, combined with the data processing module's rapid analysis and decision-making of displacement signals, achieves a millisecond-level response from deformation detection to correction execution. Compared to the lag inherent in existing laser or visual inspection solutions, this invention seamlessly integrates detection and correction during the continuous transport of H-beams, achieving both high-precision correction and production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0007] Figure 1 A schematic top view of a detection roller on an H-beam provided in an embodiment of the present invention; Figure 2 A schematic side view of a detection roller on an H-beam provided in an embodiment of the present invention; Figure 3 A flowchart of the steps performed by the data processing module provided in an embodiment of the present invention; Explanation of symbols: 100. Detection roller, 110. Elastic expansion device, 111. Spring, 112. Detection roller connecting rod, 113. Roller, 120. Displacement sensor, 130. Bracket, 200. H-shaped steel. DETAILED DESCRIPTION

[0008] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0009] It should be noted that, based on this disclosure, those skilled in the art will appreciate that an aspect described herein can be implemented independently of any other aspect, and that two or more of these aspects can be combined in various ways. For example, any number of the aspects described herein can be used to implement an apparatus and / or practice a method. In addition, other structures and / or functionalities other than one or more of the aspects described herein can be used to implement such an apparatus and / or practice such a method.

[0010] Example 1: The following will introduce an H-beam correction equipment, which may include: a second correction device and a detection device; the second correction device includes a drive motor, a correction roller and a worm gear reducer, and the output shaft of the drive motor is connected to the correction roller through the worm gear reducer to apply a correction force to the correction roller.

[0011] In this embodiment, a drive motor drives the straightening rollers through a worm gear reducer to achieve mechanical straightening of the H-beam. The worm gear reducer provides a stable transmission ratio, ensuring precise transmission of the straightening force; the torque output by the drive motor can be controlled. It should be noted that those skilled in the art can use existing H-beam straightening devices as the second straightening device in this embodiment, depending on their actual needs; this description is omitted here.

[0012] Furthermore, the second correction device also includes: a clamping mechanism, the clamping mechanism includes multiple groups of clamping components, the clamping components include a stepping motor, a bidirectional screw and a clamping roller, and the clamping roller is connected to the stepping motor through a bidirectional screw.

[0013] In this embodiment, the clamping mechanism includes multiple sets of clamping components, and the stepper motor drives the clamping roller through a bidirectional screw, which can adjust the clamping force up and down to fix the H-shaped steel between the correction rollers to ensure the stable position of the workpiece during correction; it should be noted that technical personnel in this field can use the existing clamping structure as the clamping mechanism in this embodiment according to actual needs, which will not be elaborated here.

[0014] like Figure 1 and Figure 2As shown, the detection device includes a data processing module and a plurality of detection rollers 100. Each detection roller 100 is arranged perpendicular to the surface of the H-beam and arranged in a line. Each detection roller 100 is provided with an elastic expansion and contraction device 110, a displacement sensor 120 and a roller 113. The elastic expansion and contraction device 110 is used to contact the detection roller 100 with the surface of the H-beam 200 so that the roller 113 is tightly fitted to the surface of the H-beam. The elastic expansion and contraction device 110 is fixed by a bracket 130. The displacement sensor 120 is used to measure the vertical displacement of the detection roller 100 on the surface of the H-beam.

[0015] Furthermore, the elastic telescopic device 110 includes: a detection roller connecting rod 112 and a spring 111, the detection roller connecting rod 112 is arranged in the spring 111, one end of the detection roller connecting rod 112 is connected to the roller 113, and the other end is spaced a preset distance from the displacement sensor 120.

[0016] The working principle of the detection roller is as follows: The surface of the H-shaped steel is tightly fitted with the roller 113 of the detection roller 100, and the H-shaped steel 200 moves along the preset direction. If there is a bend or depression on the surface of the H-shaped steel 200, due to the presence of the spring 111 of the elastic expansion device 110, the roller 113 always keeps tightly fitted with the surface of the H-shaped steel 200, so that the detection roller connecting rod 112 moves up and down at the bend or depression, and the displacement sensor 120 can measure the displacement distance of the detection roller connecting rod 112 in real time, realizing the profile data collection of the surface of the H-shaped steel 200. Figure 2 As shown, for different surfaces of the H-beam, multiple groups of detection rollers 100 with different positions and directions can be set to realize the profile data collection of different surfaces.

[0017] Furthermore, the equipment also includes: a transportation device; the transportation device is used to transport the H-shaped steel from the detection device to the second correction device.

[0018] It should be noted that, in this field, existing transportation devices can be used as the transportation devices in this embodiment according to actual needs to transport the H-shaped steel from the detection device to the second correction device, which will not be elaborated here.

[0019] like Figure 3 As shown, the data processing module is used to perform the following steps: S100, obtaining the displacement detected by each displacement sensor at each detection moment during the H-beam transmission process to obtain a displacement matrix HA corresponding to the H-beam; each row corresponds to the displacement detected by different displacement sensors at the same detection moment, and each column corresponds to the displacement detected by the same displacement sensor at different detection moments.

[0020] In this embodiment, the H-beam passes through the detection device at a constant speed or an adjustable speed during the transmission process, and each detection roller is distributed along the width direction of the H-beam cross section, such as the flange and web positions, and the vertical displacement is collected in real time.

[0021] Each detection moment corresponds to a transmission position of the H-beam, for example: it is collected once every Δt time interval, or once every movement ΔL distance, forming a two-dimensional data matrix of "time-space".

[0022] The rows in HA correspond to the detection moments, reflecting the position of the H-beam along the length direction. For example, the first row corresponds to the moment when the front end of the H-beam enters the detection area, and the nth row corresponds to the moment when the tail passes through.

[0023] The columns in A correspond to the detection rollers, reflecting the deformation of different positions of the H-beam cross section. For example, the first column corresponds to the left wing flange detection roller, and the mth column corresponds to the web center detection roller.

[0024] The physical meaning of the displacement is: the retraction amount of the detection roller when it is squeezed by the surface of the H-beam. A positive value indicates a depression, and a negative value indicates a bulge, which directly reflects the degree of bending and distortion at each point in the cross section.

[0025] Through step S100, the continuous deformation of the H-beam is converted into computable matrix data, providing structured input for subsequent analysis and avoiding the discreteness and subjectivity of traditional manual measurement. Deformation in both the length direction (row, position) and the cross-sectional direction (column, location) is captured simultaneously. For example, complex deformations such as "continuous upward warping of a certain flange section" or "local depression in the middle of the web" can be identified. Through the time-series changes of the HA matrix, the evolution of the H-beam deformation with the transmission position can be intuitively observed, such as the trend of deformation extending from the front end to the rear end.

[0026] S200 , determining an element in the HA whose difference from a preset standard displacement is greater than a preset difference threshold as an abnormal element.

[0027] In this embodiment, the preset standard displacement is the displacement value of the H-beam under ideal conditions, which theoretically should be 0, i.e., the initial position of the detection rollers when they are not squeezed. If the H-beam is not deformed, the displacement of all detection rollers is 0. If deformation occurs, the detection rollers retract or rebound under pressure, causing the displacement to deviate from 0. Taking into account detection errors and other influencing factors during actual testing, the displacement value of the H-beam under ideal conditions can be set to a displacement range. For example, the standard displacement can be set to -0.1 cm to 0.1 cm.

[0028] Calculate the absolute difference between each element in HA and the standard displacement. If the absolute value of the difference between the displacement and the standard displacement is greater than the preset difference threshold, it is determined to be an abnormal element. Abnormal elements can be marked as 1, and non-abnormal elements can be marked as 0. The preset difference threshold is set according to actual needs. For example, the preset difference threshold is 0.5mm, which can also be adjusted according to the H-beam accuracy requirements.

[0029] Through threshold filtering, interference such as slight vibrations of the detection device and small fluctuations of the conveyor belt are eliminated, and only the significant displacement differences caused by real deformation are retained; the continuous displacement data is converted into binary anomaly marks, simplifying the complexity of subsequent analysis while highlighting key deformation points; without analyzing the entire matrix, the row where the abnormal element is located, that is, the length position, and the column, that is, the cross-sectional position, are directly locked, providing a clear starting point for subsequent area division.

[0030] S300: Determine the deformation region corresponding to the H-shaped steel according to the positional relationship of the abnormal elements in the HA.

[0031] Furthermore, step S300 may include the following steps: S310, obtaining the position coordinates of each abnormal element in HA to obtain an abnormal element position coordinate list Z=(Z1, Z2, ..., Z i ,…,Z n ), i=1, 2,…, n; where Z i is the position coordinate of the ith abnormal element, and n is the number of abnormal elements.

[0032] In this embodiment, the position coordinate Z of the i-th abnormal element i It consists of the row number (i_row) and column number (i_col) of the i-th abnormal element in the displacement matrix HA, that is, Z i =(i_row,i_col). Row number i_row corresponds to the time or length position during the H-beam conveyance process, for example, row 100 corresponds to 2 meters from the front end; column number i_col corresponds to the position of the inspection roller on the H-beam cross section, for example, column 3 corresponds to the inspection roller in the middle of the left flange.

[0033] S320, cluster all abnormal elements according to Z to obtain a cluster list A = (A1, A2, ..., A j ,…,A m ), j = 1, 2, ..., m; where A j is the jth cluster obtained by clustering, and m is the number of clusters obtained by clustering.

[0034] In this embodiment, a spatial clustering algorithm, such as the DBSCAN clustering algorithm, can be used to cluster outliers in Z that are "temporally and spatially adjacent." Adjacent is defined as a row number difference ≤ Δt (temporal / length adjacent) and a column number difference ≤ Δc (cross-sectional location adjacent). For example, outliers in rows 50-55 and columns 2-4 are clustered together, representing continuous deformation in the left wing flange region of the H-beam at lengths of 2-2.5 meters. Isolated points that cannot be clustered, such as single outliers, are treated as detection noise, such as transient sensor interference, and do not trigger correction to avoid misjudgment.

[0035] S330, obtaining the minimum rectangular bounding box corresponding to each abnormal element in each cluster in A, so as to obtain a minimum rectangular bounding box list B corresponding to A = (B1, B2, ..., B j ,…,B m ); B j A j The corresponding minimum rectangular bounding box.

[0036] In this embodiment, calculate B j The minimum row number min_row, maximum row number max_row, minimum column number min_col and maximum column number max_col of all abnormal points form a rectangular bounding box B j =(min_row,max_row,min_col,max_col). This rectangle covers A in the HA matrix. j All abnormal points without redundant space.

[0037] B j The row range corresponds to the deformation area in the length direction of the H-beam, such as from min_row to max_row, corresponding to the length L1 to L2, and the column range corresponds to the deformation area in the cross-sectional direction, such as from min_col to max_col, corresponding to the width W1 to W2 of the left flange.

[0038] S340, B j The corresponding area on the H-beam is determined as the deformation area.

[0039] In this embodiment, B j Convert the row and column range to the physical size of the H-beam: The row number corresponds to the length position. Assuming the transmission speed is v (m / s) and the detection interval is Δt (s), the kth row corresponds to the length position L = k × v × Δt.

[0040] The column number corresponds to the cross-sectional position. The detection rollers are evenly spaced along the width of the cross section (the spacing is d, mm). Then the mth column corresponds to the cross-sectional position X=m×d.

[0041] The final deformation area is a rectangular area with a length QL∈[L_min,L_max] and a cross section X∈[X_min,X_max], such as 2-3 meters from the front end and within the width range of 0-150mm of the left wing flange.

[0042] The above steps have at least the following beneficial effects: 1. Noise immunity and regional focus: The clustering algorithm filters out isolated outliers, such as sensor false triggers, retaining only continuous, clustered outlier regions. This prevents triggering corrections for "false deformations" and improves system reliability. For example, a single outlier caused by vibration on a detection roller would be considered noise and would not affect the final region determination.

[0043] 2. The boundary of the deformation area is clear: Minimum rectangular bounding box B j The extreme values of rows and columns directly define the length and cross-sectional range of the deformation, providing precise location and degree of deformation for subsequent correction. For example, instead of vaguely describing "partial deformation of the left wing flange," it can clearly state that "bends are present in the 0-150mm width area 2-3 meters from the left wing flange."

[0044] 3. Multi-type deformation compatibility: Whether the deformation is linear, such as continuous anomalies in a single row of inspection rollers, planar, such as sheet anomalies in multiple rows of inspection rollers, or complex, such as L-shaped deformation, it can be extracted as a regular rectangular area through clustering and bounding boxes, reducing the complexity of subsequent correction strategies.

[0045] S400: Determine a correction force control strategy corresponding to the deformed area according to the displacement characteristics corresponding to the deformed area and a preset correction force control strategy.

[0046] Furthermore, step S400 may include the following steps: S410, obtaining the sub-displacement matrix corresponding to each deformation area in HA to obtain a sub-displacement matrix list C = (C1, C2, ..., C j ,…,C m ); where C j is the sub-displacement matrix corresponding to the j-th deformation region.

[0047] In this embodiment, for each deformation region, the sub-displacement matrix covered by it is intercepted from HA. j Contains all detection moments of the deformation area and the displacement data of the detection roller.

[0048] Example: If B j Covering rows 50-55 (6 rows) and columns 2-4 (3 columns) of HA, then C j It is a 6×3 matrix, which contains the displacement values of 6 detection moments and 3 detection rollers in the area.

[0049] S420, extracting eigenvectors from the sub-displacement matrix in C to obtain a list of eigenvectors D corresponding to C = (D1, D2, ..., D j ,…,D m ); where D j C j The corresponding eigenvector.

[0050] Furthermore, D j It can be obtained by following the steps below: S421, obtain C in order of rows and columns j Each element in , to get C j The corresponding element list E j =(E j，1 , E j，2 ,…,E j，x ,…,E j，y ), x=1, 2,…, y; where E j，x C j The xth element in , y is C j The number of elements in .

[0051] This step realizes the extraction of original displacement features, and C j The elements of E are expanded into a one-dimensional list in row-priority order (traversing rows first, and traversing columns within each row); j Reflects the absolute value of displacement at each location within the deformation area, such as the specific size of the depression / protrusion.

[0052] S422, get C j The difference between two adjacent elements in each row and column in C is used to obtain j Corresponding difference list F j =(F j，1 , F j，2 ,…,F j，u ,…,F j，v ), u = 1, 2, ..., v; where F u is the u-th difference obtained, and v is the number of differences obtained.

[0053] This step realizes the extraction of displacement gradient features and calculates C j The difference between the adjacent columns of each row (cross-section gradient) and the difference between the adjacent rows of each column (length gradient) are obtained. j For example, the difference between adjacent columns in a row reflects the deformation slope in the cross-sectional direction (such as the degree of bending of the flange from left to right), and the difference between adjacent rows in a column reflects the deformation slope in the length direction (such as the expansion speed of the bending from the front to the tail).

[0054] S423, according to Ej and F j , get D j =(E j , F j ).

[0055] E j and F j Spliced into D j =(E j , F j ), forming a multi-dimensional feature vector that fully describes the amplitude and rate of change of deformation. Feature vector D j This multidimensional feature includes both the original displacement and the displacement gradient, describing both the magnitude of the deformation (e.g., a 2mm dent) and its shape (e.g., a dent that deepens from left to right with a gradient of 0.5mm / mm). Compared to using only the mean or maximum value, this multidimensional feature can more accurately distinguish different deformation types, such as uniform dents and localized deep pits.

[0056] S430, obtain D j The D corresponding to each preset correction force control strategy j The similarity of feature vectors with the same dimension is used to obtain D j The corresponding similarity list η j =(η j，1 , η j，2 ,…,η j，p ,…,η j，q ), p = 1, 2, ..., q; where η j，p D j The similarity of the feature vector corresponding to the p-th preset corrective force control strategy; q is the number of preset corrective force control strategies.

[0057] In this embodiment, each preset correction force control strategy corresponds to a feature vector. It is understandable that due to the different sizes of the deformation areas, the dimensions of the feature vectors will be different. Therefore, before calculating the similarity, the feature vectors corresponding to the correction force control strategies can be filtered to retain only the feature vectors that are consistent with D. j The feature vector of the same dimension is then calculated as D j It should be noted that those skilled in the art can use the existing vector similarity calculation method according to actual needs to obtain η j , which will not be elaborated here.

[0058] Furthermore, the correction force control strategy includes the relationship between the magnitude of the force applied to the correction roller and the time.

[0059] In this embodiment, the correction force strategy includes a number of time points and the magnitude of the correction force applied corresponding to each time point.

[0060] S440, η j The correction force control strategy corresponding to the largest similarity is determined as the correction force control strategy corresponding to the j-th deformation area.

[0061] In this embodiment, η j The deformation size and type of the deformation area to which the correction force control strategy is applicable corresponding to the maximum similarity in B j The size and type of the corresponding deformation areas are similar. Using this correction force control strategy to control B j Correcting the corresponding deformed area can achieve better correction results. For example, if D j The similarity with strategy 3 is the highest (η j，3 =0.95), then strategy 3 is implemented for this area, such as incremental pressure for 3 seconds with a maximum pressure of 100 kN.

[0062] S500: When the deformed area of the H-beam reaches the correction roller, the drive motor is controlled to execute the corresponding correction force control strategy.

[0063] In this embodiment, the position of each deformed area is monitored in real time. When the deformed area reaches the correction roller, the corresponding correction force control strategy is called and the drive motor is controlled to execute the corresponding correction force control strategy to correct the deformed area.

[0064] By distributing multiple detection rollers vertically along the surface of the H-beam, combined with the synergistic effect of elastic expansion and contraction devices and displacement sensors, synchronous dynamic monitoring of the three-dimensional deformation of the web and flange is achieved. The elastic expansion and contraction device ensures that the detection rollers are in continuous contact with the surface of the H-beam, and the displacement sensor collects vertical displacement data in real time to construct a displacement matrix HA, which solves the problem of blind spots in the detection of local abnormal deformations by traditional equipment and significantly improves the recognition accuracy of complex deformations. Based on the analysis of abnormal elements in the displacement matrix HA, the deformation area is quickly located through spatial position relationships, and the mapping relationship between the displacement characteristics and the preset correction strategy is combined to dynamically adjust the force parameters of the correction roller driven by the worm gear reducer, overcoming the defects of over-correction or under-correction caused by traditional extensive force application, ensuring that the correction force is accurately adapted to the deformation characteristics.

[0065] Furthermore, the closed-loop control architecture of the detection device and the second correction device, combined with the data processing module's rapid analysis and decision-making of displacement signals, achieves a millisecond-level response from deformation detection to correction execution. Compared to the lag inherent in existing laser or visual inspection solutions, this invention seamlessly integrates detection and correction during the continuous transport of H-beams, achieving both high-precision correction and production efficiency.

[0066] Example 2: Based on the H-beam correction equipment in Example 1, the equipment can also include a first correction device, which corrects the area of the H-beam with a preset length L each time, that is, corrects the deformed area of the H-beam in sections, for example: a stamping correction device implemented by a hydraulic system, rather than a correction roller type correction device; it should be noted that those skilled in the art can use the existing stamping correction device as the correction device in this embodiment according to actual needs, which will not be elaborated here.

[0067] Based on the above-mentioned first correction device, after step S300 and before step S400, the following steps may be further included: S30, obtaining the total length RL corresponding to all deformation regions.

[0068] S31, if RL / GL>σ, proceed to S400; otherwise, proceed to S600; wherein GL is the length of the H-beam, and σ is the preset weight.

[0069] In this embodiment, the value range of σ can be 0.6 to 0.7. If RL / GL≤σ, it means that the length of the deformed area of the H-beam accounts for a small proportion of the total length of the H-beam. At this time, if the second correction device is used for correction, a large number of undeformed areas on the H-beam must also pass through the correction roller, which is less efficient.

[0070] S600, using a sliding window of a preset length L to determine the deformation region group for each correction, so as to correct the deformation regions in each deformation region group in sequence through the first correction device; wherein the deformation regions in each deformation region group are adjacent in sequence, and the sliding window completely covers the deformation regions in the corresponding deformation region group.

[0071] In this embodiment, the multiple deformation regions on the H-beam are divided into several deformation region groups by a sliding window, so that the corrective force can be applied in stages later.

[0072] Furthermore, step S600 may include the following steps: S610, obtaining a preset value N=1, and determining the first deformation area on the H-shaped steel as the Nth initial deformation area.

[0073] Set the initial group number N=1, and determine the first deformation area on the H-beam as the Nth initial deformation area; start processing from the first deformation area to ensure that the grouping covers all deformation areas in sequence to avoid omissions.

[0074] S620: Align the starting end of the sliding window with the starting end of the Nth initial change region.

[0075] Taking the current initial deformation area as the starting point, the initial position of the sliding window is determined, which provides a benchmark for the subsequent judgment of whether the sliding window contains a complete or partial deformation area.

[0076] At step S630, if the end of the sliding window does not intersect any deformation region, the deformation region within the sliding window is determined as the Nth deformation region group, and the deformation region adjacent to the end of the sliding window, which is not within the sliding window, is determined as the N+1th initial deformation region. N=N+1 is obtained, and the process proceeds to step S620. Otherwise, the process proceeds to step S640.

[0077] Step S630 contains two conditions. Condition 1: If the end of the sliding window does not intersect with any other deformed regions, that is, the sliding window contains only complete, non-overlapping deformed regions or a single deformed region, the deformed region within the sliding window, which may be a single or multiple non-intersecting regions, is determined as the Nth deformed region group. At the same time, the next deformed region adjacent to the end of the sliding window, not included in the sliding window, is set as the N+1th initial deformed region, obtaining N=N+1, and returning to S620 to process the next group.

[0078] Condition 2 is: if the end of the sliding window intersects with another deformation area, that is, the sliding window boundary cuts through a certain deformation area, then the process proceeds to S640 to process the boundary intersection situation.

[0079] At step S640, if the length of the Nth initially changed region is less than L and the end of the sliding window intersects with the deformed region, the sliding window is moved toward the starting end of the sliding window so that the end of the sliding window does not intersect with any deformed region. The deformed region within the sliding window is determined as the Nth deformed region group, and the deformed region adjacent to the end of the sliding window, which is not within the sliding window, is determined as the N+1th initially changed region. N=N+1 is obtained, and the process proceeds to step S620.

[0080] When the end of the sliding window intersects a deformed area, that is, the sliding window covers a portion of the area, the sliding window is moved toward the starting end of the sliding window so that the end of the sliding window no longer intersects any deformed area, that is, the sliding window only contains the complete deformed area or does not overlap with the boundaries of other areas. The area within the adjusted sliding window is determined as the Nth deformed area group, and the next initial deformed area is updated and grouping continues. In this way, the boundaries of each deformed area group are ensured to be clear, avoiding interference caused by the application of cross-area correction force.

[0081] Furthermore, after step S640 and before step S650, the following steps may be further included: S641: If the length of the Nth initially changed region is equal to L, the Nth initially changed region is determined as the Nth deformed region group, and the deformed region that is not within the sliding window and is adjacent to the end of the sliding window is determined as the N+1th initially changed region; N=N+1, and the process proceeds to S620.

[0082] If the length of the initial change region is equal to the sliding window length L, the deformed region is directly used as the Nth deformed region group. Since the length just matches the sliding window, no cutting is required. The next initial change region is updated and grouping is continued.

[0083] S642: If the length of the Nth initial change region is greater than L, proceed to S643.

[0084] S643: Align the starting end of the sliding window with the starting end of the Nth initial change region, and proceed to S644.

[0085] Realign the starting point of the sliding window with the starting point of the current initial change region to ensure that the segmentation starts from the starting point of the region.

[0086] At step S644, if the length of the deformation region within the sliding window is equal to L, a partial deformation region of the Nth initial deformation region within the sliding window is determined as the Nth deformation region group, and the remaining portion of the Nth initial deformation region is determined as the N+1th initial deformation region; N=N+1 is obtained, and the process proceeds to step S644; otherwise, the process proceeds to step S645.

[0087] If the length of the deformation region in the sliding window is equal to L, the part in the sliding window is divided into the Nth deformation region group, and the remaining part is used as the N+1th initial deformation region. That is, the long deformation region is evenly divided into multiple groups of length L, and the remaining part is processed.

[0088] At step S645 , if the length of the deformed region within the sliding window is less than L and the end of the sliding window does not intersect with any deformed region, a partial deformed region of the Nth initially deformed region within the sliding window is determined as the Nth deformed region group, and a deformed region that is not within the sliding window and is adjacent to the end of the sliding window is determined as the N+1th initially deformed region. N=N+1 is obtained, and the process proceeds to step S620 .

[0089] If the length of the sliding window is less than L and does not intersect with other areas, the current part is divided into a group. At this point, the grouping of the deformation areas with a length greater than L is completed.

[0090] S646: If the length of the deformation area in the sliding window is less than L and the end of the sliding window intersects with the deformation area, then proceed to S640.

[0091] If the length of the sliding window is less than L but intersects with other areas, the process returns to S640 to readjust the sliding window position to ensure a clear boundary.

[0092] S650: If each deformation region is classified into a corresponding deformation region group, the current process is exited.

[0093] When all the deformed areas are classified into corresponding deformed area groups, the cycle is exited, the grouping is completed, and the subsequent correction stage is entered, in which each deformed area group is corrected one by one through the correction device.

[0094] Through dynamic sliding window adjustment and boundary intersection processing, overlap or cutting between deformation area groups is avoided, ensuring that each group corresponds to an independent and continuous area to be corrected on the H-beam, improving the targeted application of the correction force. It also supports uniform segmentation of long deformation areas (length > L) and reasonable merging of short deformation areas (length < L) or discrete areas, improving the flexibility and robustness of the grouping strategy. In this embodiment, a combination of multiple detection rollers and an elastic telescopic device, coupled with a displacement sensor array, performs continuous, high-density displacement detection on the surface of the H-beam. This significantly improves the accuracy and coverage of deformed area identification and effectively avoids the correction blind spot problem caused by traditional sampling detection. The data processing module, based on abnormal element analysis of the displacement matrix HA, can accurately locate the boundaries and distribution characteristics of the deformed area. It dynamically divides adjacent deformed area groups using a sliding window algorithm, ensuring that the correction device performs non-overlapping, full-coverage correction of continuous deformed areas based on a preset length L. This not only reduces energy waste caused by repeated correction strokes, but also avoids secondary damage to the profile surface caused by local stress concentration by optimizing the correction interval planning. Furthermore, by intelligently matching the deformation area group with the sliding window length, the system significantly improves the correction efficiency for large-scale continuous deformation, while reducing mechanical wear on the equipment and avoiding the occurrence of correction blind spots or repeated corrections. When processing large-scale continuous deformation, it can effectively divide the optimal correction interval, improving correction efficiency and avoiding impacts on the profile surface quality.

[0095] Furthermore, although the steps of the present disclosure are described in a particular order in the drawings, this does not require or imply that the steps must be performed in this particular order, or that all steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps.

[0096] Although some specific embodiments of the present invention have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It should also be understood by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the present invention.

Claims

1. An H-beam straightening device, characterized in that: The device includes: a second correction device and a detection device; the second correction device includes a drive motor, a correction roller and a worm gear reducer, and the output shaft of the drive motor is connected to the correction roller through the worm gear reducer to apply a correction force to the correction roller; The detection device includes a data processing module and a plurality of detection rollers, each of which is arranged perpendicular to the surface of the H-beam; each detection roller is provided with an elastic expansion device and a displacement sensor, the elastic expansion device is used to contact the detection roller with the surface of the H-beam, and the displacement sensor is used to measure the vertical displacement of the detection roller on the surface of the H-beam; The data processing module is used to perform the following steps: S100, obtaining the displacement detected by each displacement sensor at each detection moment during the H-beam transmission process to obtain a displacement matrix HA corresponding to the H-beam; HA includes a plurality of rows and a plurality of columns, where each row corresponds to the displacement detected by different displacement sensors at the same detection moment, and each column corresponds to the displacement detected by the same displacement sensor at different detection moments; S200, determining an element in the HA whose difference from a preset standard displacement is greater than a preset difference threshold as an abnormal element; S300, determining the deformation region corresponding to the H-beam according to the positional relationship of the abnormal elements in the HA; S400, determining a corrective force control strategy corresponding to the deformed area according to the displacement characteristics corresponding to the deformed area and a preset corrective force control strategy; S500: When the deformed area of the H-beam reaches the correction roller, the drive motor is controlled to execute the corresponding correction force control strategy.

2. The H-beam straightening equipment according to claim 1, characterized in that: The correction force control strategy includes the relationship between the magnitude of the force applied to the correction roller and the time.

3. The H-beam straightening equipment according to claim 1, characterized in that: The equipment further includes: a transport device; the transport device is used to transport the H-shaped steel from the detection device to the second correction device.

4. The H-beam straightening equipment according to claim 1, characterized in that: The elastic expansion and contraction device includes: a detection roller connecting rod and a spring. The detection roller connecting rod is arranged in the spring. One end of the detection roller connecting rod is connected to the roller, and the other end is spaced a preset distance from the displacement sensor.

5. The H-beam straightening equipment according to claim 1, characterized in that: The second correction device also includes: a clamping mechanism, the clamping mechanism includes multiple groups of clamping components, the clamping components include a stepping motor, a bidirectional screw and a clamping roller, and the clamping roller is connected to the stepping motor through a bidirectional screw.

6. The H-beam straightening equipment according to claim 1, characterized in that: Step S300 includes the following steps: S310, obtaining the position coordinates of each abnormal element in HA to obtain an abnormal element position coordinate list Z=(Z1, Z2, ..., Z i ,…,Z n ), i=1, 2, ..., n; where Z i is the position coordinate of the i-th abnormal element, and n is the number of abnormal elements; S320, cluster all abnormal elements according to Z to obtain a cluster list A = (A1, A2, ..., A j ,…,A m ), j = 1, 2, ..., m; where A j is the jth cluster obtained by clustering, and m is the number of clusters obtained by clustering; S330, obtaining the minimum rectangular bounding box corresponding to each abnormal element in each cluster in A, so as to obtain a minimum rectangular bounding box list B corresponding to A = (B1, B2, ..., B j ,…,B m ); B j A j The corresponding minimum rectangular bounding box; S340, B j The corresponding area on the H-beam is determined as the deformation area.

7. The H-beam straightening equipment according to claim 6, characterized in that: Step S400 includes the following steps: S410, obtaining the sub-displacement matrix corresponding to each deformation area in HA to obtain a sub-displacement matrix list C = (C1, C2, ..., C j ,…,C m ); where C j is the sub-displacement matrix corresponding to the j-th deformation area; S420, extracting eigenvectors from the sub-displacement matrix in C to obtain a list of eigenvectors D corresponding to C = (D1, D2, ..., D j ,…,D m ); where D j C j The corresponding eigenvector; S430, obtain D j The D corresponding to each preset correction force control strategy j The similarity of feature vectors with the same dimension is used to obtain D j The corresponding similarity list η j =(η j，1 , η j，2 ,…,η j，p ,…,η j，q ), p = 1, 2, ..., q; where η j，p D j The similarity of the feature vector corresponding to the p-th preset correction force control strategy; q is the number of preset correction force control strategies; S440, η j The correction force control strategy corresponding to the largest similarity is determined as the correction force control strategy corresponding to the j-th deformation area.

8. The H-beam straightening equipment according to claim 7, characterized in that: D j Obtained through the following steps: S421, obtain C in order of rows and columns j Each element in , to get C j The corresponding element list E j =(E j，1 , E j，2 ,…,E j，x ,…,E j，y ), x=1, 2,…, y; where E j，x C j The xth element in , y is C j The number of elements in ; S422, get C j The difference between two adjacent elements in each row and column in C is used to obtain j Corresponding difference list F j =(F j，1 , F j，2 ,…,F j，u ,…,F j，v ), u = 1, 2, ..., v; where F u is the u-th difference obtained, and v is the number of differences obtained; S423, according to E j and F j , get D j =(E j , F j ).

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