Off-line measuring and adjusting method for radians of fan-shaped section and bending section roller sets of slab continuous casting machine

Abstract

The invention relates to the field of plate blank roller set radian testing, and provides a plate blank continuous casting machine fan-shaped section roller set radian off-line measuring and adjusting method, one of the fan-shaped section roller set and the bending section roller set serves as a to-be-detected part, and the to-be-detected part comprises a basic frame and a bearing seat roller set; the method is characterized in that a bearing seat roller set is installed on a basic frame, and the method comprises the following steps that a standard model is arranged, calibration points are arranged on the standard model, and the size of the standard model is the design size of the basic frame and the bearing seat roller set; collecting three-dimensional point data of the to-be-detected part; transforming the three-dimensional point data according to the calibration points to obtain three-dimensional transformation data; and comparing the three-dimensional transformation data with the standard model to obtain a measurement error of the bearing seat roller group of the to-be-detected part and the basic frame, and carrying out structure adjustment on the to-be-detected part according to the measurement error. According to the invention, repeated measurement and adjustment are avoided, the installation and adjustment efficiency of the roller set is improved, and the accuracy of the thickness of the gasket is ensured.

Description

Technical Field

[0001] The invention relates to the field of slab roller group radian testing, and in particular to an offline measurement and adjustment method for the radian of a slab continuous casting machine fan-shaped segment and a curved segment roller group. Background Art

[0002] The ability to maintain the arc alignment and opening accuracy of the strand bending section and fan-shaped segment roll group of the steelmaking slab continuous casting machine during production operation is one of the most important factors affecting the production efficiency of the continuous casting machine and the quality of the continuous casting slab products. The installation accuracy of the roll group in the offline repair of the bending section and fan-shaped segment is the core factor affecting its online operation life.

[0003] At present, the common measurement method for the bending section and fan-shaped segment roll group of the slab continuous casting machine during the repair process in the offline maintenance area is to use a special template and feeler gauge on a special arc alignment table to measure the arc alignment of the bending section and fan-shaped segment roll group of the slab continuous casting machine and adjust it. This method requires repeated adjustment of the roll group bearing seat base gasket, which is time-consuming and difficult to ensure that the roll group bearing is evenly loaded, affecting the service life of the bending section and fan-shaped segment. Summary of the invention

[0004] In view of this, the present invention proposes an offline measurement and adjustment method for the curvature of the fan-shaped segment and bending segment roller group of a slab continuous casting machine. By establishing a standard model and combining three-dimensional measurement technology to accurately measure and analyze the roller group mounting base, rapid and accurate adjustment of the fan-shaped segment and bending segment roller group of the slab continuous casting machine is achieved, avoiding the time-consuming and uneven bearing load problems caused by traditional repeated adjustment methods.

[0005] The technical solution of the present invention is implemented as follows: The present invention provides an offline measurement and adjustment method for the curvature of a fan-shaped segment and a curved segment roller group of a slab continuous casting machine, wherein one of the fan-shaped segment and the curved segment roller group is used as a part to be detected, and the part to be detected includes a basic frame and a bearing seat roller group, and the bearing seat roller group is installed on the basic frame. The measurement method includes the following steps:

[0006] Setting a standard model and setting calibration points on the standard model, wherein the dimensions of the standard model are the design dimensions of the base frame and the bearing seat roller assembly;

[0007] Collect three-dimensional point data of the part to be inspected;

[0008] Transform the three-dimensional point data according to the calibration points to obtain three-dimensional transformation data;

[0009] The three-dimensional transformation data is compared with the standard model to obtain the measurement error of the bearing seat roller group and the basic frame of the part to be inspected, and the structure of the part to be inspected is adjusted according to the measurement error.

[0010] On the basis of the above technical solution, preferably, the part to be detected also includes a gasket, and the structural adjustment of the part to be detected according to the measurement error includes installing a gasket corresponding to the thickness of the measurement error between the base frame and the bearing seat roller group.

[0011] On the basis of the above technical solution, preferably, the standard model is set, and calibration points are set on the standard model, and the size of the standard model is the design size of the basic frame and the bearing seat roller group, specifically including:

[0012] According to the geometric deviation calculation algorithm, a preset standard roller group installation base is selected, and a non-contact three-dimensional measuring device is used to scan and measure the preset standard roller group installation base to obtain standard three-dimensional data of the preset standard roller group installation base. The standard three-dimensional data is optimized using a data optimization algorithm to establish a standard model.

[0013] On the basis of the above technical solution, preferably, the calculation formula of the geometric deviation calculation algorithm is:

[0014]

[0015] Where ΔD is the geometric deviation between the base measurement point and the design point of the preset standard roller assembly installation base, (X m ,Y m ,Z m ) is the three-dimensional coordinate of the base measurement point, (X d ,Y d ,Z d ) are the three-dimensional coordinates of the design point;

[0016] When ΔD≤ΔD max When the preset standard roller assembly installation base meets the design requirements, ΔD max is the maximum geometric deviation value;

[0017] The calculation formula of the data optimization algorithm is:

[0018]

[0019] Among them, F is the optimization objective function, w x 、w y 、w z are the weight coefficients in the horizontal, vertical and vertical directions respectively, (X mi ,Y mi ,Z mi ) is the three-dimensional coordinate of the i-th measurement point, (X si ,Y si ,Z si ) is the three-dimensional coordinate of the standard model point corresponding to the i-th measurement point.

[0020] On the basis of the above technical solution, preferably, the collecting of three-dimensional point data of the part to be detected specifically includes:

[0021] Use non-contact 3D scanning equipment to scan the part to be inspected at multiple angles, and process the scan data through an accuracy calibration algorithm to obtain measured 3D data;

[0022] The measured three-dimensional data is subjected to weighted moving average denoising processing to obtain denoised three-dimensional data, and the denoised three-dimensional data is fitted and calculated using a data processing algorithm to extract the three-dimensional point data of the part to be detected.

[0023] On the basis of the above technical solution, preferably, the calculation formula of the scanning data accuracy calibration algorithm is:

[0024]

[0025] Where ΔP is the spatial deviation distance between the scanning point and the detection reference point, (X n ,Y n ,Z n ) is the three-dimensional coordinate of the scanning point, (X b ,Y b ,Z b ) is the three-dimensional coordinate of the detection reference point, and θ is the angle between the scanning device and the part to be detected;

[0026] The calculation formula of the weighted moving average denoising is:

[0027]

[0028] Among them, D' q To denoise three-dimensional data points, D q is the measured three-dimensional data point, k is the point D q The number of points in the neighborhood of j is the jth neighboring point D j The weight coefficient of , α is the denoising adjustment factor.

[0029] On the basis of the above technical solution, preferably, the three-dimensional point data is transformed according to the calibration points to obtain the three-dimensional transformation data, specifically including:

[0030] The three-dimensional point data is spatially aligned with the standard model. By setting a detection reference point, the three-dimensional point data is converted into a coordinate system using a three-dimensional coordinate transformation algorithm, so that the three-dimensional point data is aligned with the coordinate system of the standard model to obtain three-dimensional transformation data. During the alignment process, a least squares fitting algorithm is used to minimize the global deviation between the three-dimensional point data and the standard model.

[0031] On the basis of the above technical solution, preferably, the three-dimensional transformation data is compared with the standard model to obtain the measurement error of the bearing seat roller group and the basic frame of the part to be detected, which specifically includes:

[0032] Based on the three-dimensional transformation data, the spatial deviation value of the part to be detected is calculated, and an error distribution map is generated, and the area exceeding the preset error threshold is marked. The error distribution map uses a color gradient to indicate the deviation size;

[0033] The compensation height of the part to be inspected is calculated based on the measurement error, and a gasket combination of appropriate thickness is selected from the preset gasket specifications according to the compensation height. A standard gasket thickness database is established, which contains thickness values ​​of gaskets of various specifications. An optimization algorithm is used to select the best combination scheme from the standard gasket thickness database.

[0034] On the basis of the above technical solution, preferably, the structural adjustment of the part to be detected according to the measurement error further includes:

[0035] Remove the bearing seat roller set and gasket of the part to be inspected, use non-contact 3D scanning equipment to scan the basic frame of the part to be inspected, and check whether the surface flatness and reference point position of the basic frame conform to the standard model;

[0036] When the surface flatness and reference point position of the base frame do not conform to the standard model, mechanical grinding or adjustment of the reference point position is used for repair;

[0037] According to the calculated gasket thickness, select the gasket of appropriate specifications from the standard gasket library;

[0038] When standard gaskets cannot meet the thickness requirements, laser cutting or CNC machining technology is used to customize gaskets to ensure that the gasket thickness error does not exceed ±0.05mm, and the flatness of the gasket is tested before installation.

[0039] On the basis of the above technical solution, preferably, the structural adjustment of the part to be detected according to the measurement error further includes:

[0040] Use lifting equipment with precise positioning function to perform centering positioning through pre-set reference points; use multi-point synchronous control technology during the lifting process, and install the bearing seat roller group on the adjusted basic frame;

[0041] A torque wrench is used to tighten the bolts in a diagonal cross sequence according to the preset tightening torque value. After tightening, a non-contact three-dimensional measuring device is used to detect the bearing seat roller group to verify whether the curvature and opening degree of the bearing seat roller group meet the requirements of the standard model.

[0042] The off-line measurement and adjustment method of the radian of the roller group of the fan-shaped segment and the curved segment of the slab continuous casting machine of the present invention has the following beneficial effects compared with the prior art:

[0043] (1) By establishing a standard model and comparing and analyzing it with the three-dimensional transformation data, the required gasket thickness is directly calculated, and the installation and adjustment are completed in one go, avoiding repeated measurements and adjustments. This not only improves the efficiency of roller assembly installation and adjustment, but also ensures the accuracy of gasket thickness through precise calculation, thereby ensuring the installation accuracy of the roller assembly;

[0044] (2) Through the synergy of the geometric deviation calculation algorithm and the data optimization algorithm, the scientific selection and precise modeling of the standard roller assembly installation base are achieved. The geometric deviation algorithm ensures the objectivity and accuracy of the base selection, and the data optimization algorithm achieves the precise optimization of the measurement data. The two work together to form a complete data processing system, ensuring the reliability of the standard base selection.

[0045] (3) High-precision measurement data acquisition is achieved through multi-angle scanning acquisition and dual data processing algorithms. The scanning data accuracy calibration algorithm eliminates systematic errors by considering spatial deviation and angle factors, while the weighted moving average denoising process effectively reduces the impact of random errors. It not only ensures the integrity and accuracy of the measurement data, but also provides a reliable data basis, providing high-quality data support for error analysis and gasket adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative work.

[0047] Figure 1 The present invention is a flow chart of an offline measurement and adjustment method for the radian of a fan-shaped section and a bending section roller group of a slab continuous casting machine. DETAILED DESCRIPTION

[0048] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] See also Figure 1The present invention provides a method for offline measuring and adjusting the curvature of a roller group of a fan-shaped segment and a curved segment of a slab continuous casting machine, comprising the following steps:

[0050] Setting a standard model and setting calibration points on the standard model, wherein the dimensions of the standard model are the design dimensions of the base frame and the bearing seat roller assembly;

[0051] Collect three-dimensional point data of the part to be inspected;

[0052] Transform the three-dimensional point data according to the calibration points to obtain three-dimensional transformation data;

[0053] The three-dimensional transformation data is compared with the standard model to obtain the measurement error of the bearing seat roller group and the basic frame of the part to be inspected, and the structure of the part to be inspected is adjusted according to the measurement error.

[0054] Specifically, this embodiment directly calculates the required gasket thickness by establishing a standard model and performing comparative analysis with the three-dimensional transformation data, and completes the installation and adjustment in one go, thus avoiding repeated measurements and adjustments. This not only improves the efficiency of roller group installation and adjustment, but also ensures the accuracy of the gasket thickness through precise calculation, thereby ensuring the installation accuracy of the roller group.

[0055] Before collecting the three-dimensional point data of the part to be detected, the method further includes cleaning the fan-shaped segments and the curved segments and setting the detection reference points:

[0056] Use cleaning tools to clean the measuring area of ​​the fan-shaped segment and the curved segment to remove surface oil, dust and other impurities; the cleaning range includes the roller group installation base of the fan-shaped segment and the curved segment and its surrounding area to ensure that the measuring equipment can accurately obtain data;

[0057] A plurality of detection reference points are set at key positions of the sector segment and the curved segment, and the number and positions of the detection reference points are determined according to the design requirements; the detection reference points are marked by a marking tool to ensure that their positions are accurate and do not deviate during the measurement process.

[0058] Specifically, this embodiment ensures the cleanliness of the measurement surface by comprehensively cleaning the measurement area to remove surface impurities, oil stains, dust and other dirt, thus providing a good basic condition for measurement;

[0059] The cleaning scope clearly includes the roller assembly installation base and its surrounding areas, avoiding the measurement errors that may be caused by local cleaning and ensuring that the measuring equipment can accurately obtain data;

[0060] A reliable measurement reference system is established by setting multiple detection reference points at key positions of the fan segment and the curved segment. These reference points not only provide fixed reference coordinates for measurement, but also provide a unified standard for the entire measurement process. The reference points are marked with marking tools to ensure the accuracy and repeatability of the reference point positions.

[0061] The part to be inspected also includes a gasket, and the structural adjustment of the part to be inspected according to the measurement error includes installing a gasket corresponding to the thickness of the measurement error between the base frame and the bearing seat roller group.

[0062] The standard model is set, and calibration points are set on the standard model. The size of the standard model is the design size of the basic frame and the bearing seat roller group, specifically including:

[0063] According to the geometric deviation calculation algorithm, a preset standard roller group mounting base is selected, and the surface of the preset standard roller group mounting base has no obvious damage and deformation. A non-contact three-dimensional measuring device is used to scan and measure the preset standard roller group mounting base to obtain standard three-dimensional data of the preset standard roller group mounting base. The standard three-dimensional data is optimized by a data optimization algorithm to establish a standard model.

[0064] Specifically, this embodiment selects a standard roller group installation base through a geometric deviation calculation algorithm, ensuring that the standard base itself is free from defects such as damage and deformation, thereby providing a reliable basis for establishing an accurate standard model; non-contact three-dimensional measurement equipment is used for scanning measurement, thereby avoiding damage to the base and improving measurement efficiency and accuracy; the acquired three-dimensional data is processed by a data optimization algorithm, thereby effectively eliminating noise and errors in the measurement process and improving the accuracy of the standard model; the established standard model has high precision and reliability, providing an accurate reference benchmark for comparative analysis of three-dimensional transformation data, thereby ensuring the accuracy of the entire measurement and adjustment process.

[0065] In a specific embodiment, according to a geometric deviation calculation algorithm, a preset standard roller group mounting base is selected, and the surface of the preset standard roller group mounting base has no obvious damage, deformation or other defects that affect the measurement accuracy; a three-dimensional coordinate measuring machine is used to perform point contact measurement on the preset standard roller group mounting base, and a multi-point scanning measurement is performed on the surface of the base according to a preset grid spacing (the spacing is not greater than 10 mm) to obtain its three-dimensional point cloud data, and a data optimization algorithm is used to optimize the three-dimensional point cloud data to establish a standard model.

[0066] It should be noted that this embodiment uses a high-precision three-dimensional coordinate measuring machine for point-contact measurement, ensures the uniformity of the distribution of the measurement points by presetting the grid spacing, forms a high-precision three-dimensional data point cloud, and finally establishes a standard model with an effect comparable to that of a non-contact three-dimensional measurement solution.

[0067] The calculation formula of the geometric deviation calculation algorithm is:

[0068]

[0069] Where ΔD is the geometric deviation between the base measurement point and the design point of the preset standard roller assembly installation base, (X m ,Y m ,Z m ) is the three-dimensional coordinate of the base measurement point, (X d ,Y d ,Z d ) are the three-dimensional coordinates of the design point;

[0070] When ΔD≤ΔD max When the preset standard roller assembly installation base meets the design requirements, ΔD max is the maximum geometric deviation value;

[0071] The calculation formula of the data optimization algorithm is:

[0072]

[0073] Among them, F is the optimization objective function, w x 、w y 、w z are the weight coefficients in the horizontal, vertical and vertical directions respectively, (X mi ,Y mi ,Z mi ) is the three-dimensional coordinate of the i-th measurement point, (X si ,Y si ,Z si ) is the three-dimensional coordinate of the standard model point corresponding to the i-th measurement point.

[0074] Specifically, this embodiment calculates the geometric deviation between the preset standard roller group installation base and the design point through an accurate mathematical model, thereby ensuring the accuracy of the standard base selection; sets the maximum geometric deviation value as the judgment standard, providing a clear quantitative indicator for the selection of the standard base; and comprehensively evaluates the spatial geometric characteristics of the base through the calculation of three-dimensional coordinates, avoiding the limitations of traditional single-point measurement.

[0075] By using an optimization objective function with weight coefficients, the optimization degree in the horizontal, vertical and vertical directions can be adjusted according to actual needs; by minimizing the weighted distance between the measurement point and the standard model point, accurate optimization of the measurement data is achieved; the optimization algorithm takes into account the three-dimensional characteristics of the space and ensures the overall accuracy of the standard model. The two algorithms work together to ensure the accuracy of the standard base selection and the reliability of data processing.

[0076] The collecting of three-dimensional point data of the part to be detected specifically includes:

[0077] Use non-contact 3D scanning equipment to scan the part to be inspected at multiple angles, and process the scan data through an accuracy calibration algorithm to obtain measured 3D data;

[0078] The measured three-dimensional data is subjected to weighted moving average denoising processing to obtain denoised three-dimensional data, and the denoised three-dimensional data is fitted and calculated using a data processing algorithm to extract the three-dimensional point data of the part to be detected.

[0079] Specifically, this embodiment obtains all-round measurement data through multi-angle scanning, avoiding data blind spots that may be generated by single-angle scanning; ensuring the integrity of the measurement data of the part to be detected; improving the measurement coverage, and reducing the possibility of missed detection and false detection.

[0080] Through the calibration algorithm processing, the system errors caused by equipment or environmental factors in the scanning process are effectively eliminated; the accuracy and reliability of the measurement data are improved; and the basic data quality of data processing is ensured.

[0081] Through weighted moving average denoising processing, the random errors and noise generated in the measurement process are effectively eliminated; the main features of the original data are maintained, and the loss of details caused by over-smoothing is avoided; and the signal-to-noise ratio of the measured data is improved.

[0082] Through fitting calculations, key parameters such as flatness, curvature and position deviation are accurately extracted, providing reliable data support for subsequent comparative analysis with the standard model and realizing standardized processing of measurement data.

[0083] The calculation formula of the scanning data accuracy calibration algorithm is:

[0084]

[0085] Where ΔP is the spatial deviation distance between the scanning point and the detection reference point, (X n ,Y n ,Z n ) is the three-dimensional coordinate of the scanning point, (X b ,Y b ,Z b ) is the three-dimensional coordinate of the detection reference point, and θ is the angle between the scanning device and the part to be detected;

[0086] The calculation formula of the weighted moving average denoising is:

[0087]

[0088] Among them, D' q To denoise three-dimensional data points, D qis the measured three-dimensional data point, k is the point D q The number of points in the neighborhood of j is the jth neighboring point D j The weight coefficient of , α is the denoising adjustment factor.

[0089] Specifically, this embodiment achieves accurate calibration of scanning data by considering the spatial deviation distance between the scanning point and the detection reference point; introduces the angle parameter between the scanning device and the part to be detected to compensate for the system error caused by the measurement angle; and ensures that the data obtained by scanning at different angles are consistent and comparable.

[0090] The random noise in the measurement data is effectively eliminated through weighted averaging of neighborhood points. The introduction of weight coefficients makes the denoising process more flexible, and the denoising intensity can be adjusted according to actual needs. The setting of denoising adjustment factors achieves the optimal denoising effect while maintaining data characteristics.

[0091] The two algorithms work together to significantly improve the accuracy of measurement data, reduce adjustment deviations caused by measurement errors, and improve the efficiency of the entire adjustment process.

[0092] The step of transforming the three-dimensional point data according to the calibration points to obtain the three-dimensional transformed data specifically includes:

[0093] The three-dimensional point data is spatially aligned with the standard model. By setting a detection reference point, the three-dimensional point data is converted into a coordinate system using a three-dimensional coordinate transformation algorithm, so that the three-dimensional point data is aligned with the coordinate system of the standard model to obtain three-dimensional transformation data. During the alignment process, a least squares fitting algorithm is used to minimize the global deviation between the three-dimensional point data and the standard model.

[0094] Specifically, this embodiment achieves accurate alignment of actual measurement data with the standard model by setting detection reference points and a three-dimensional coordinate transformation algorithm; eliminates system errors caused by different measurement positions and postures; and provides a unified coordinate reference system.

[0095] By minimizing the global deviation, the optimal spatial alignment effect is achieved; the impact of local errors on the overall alignment accuracy is effectively reduced; and the reliability and accuracy of the alignment results are improved.

[0096] The color gradient is used to intuitively display the size of the deviation, making it easy to quickly identify problem areas. The areas that exceed the preset error threshold are clearly marked to help determine where key adjustments are needed. Intuitive visualization results are provided to facilitate on-site operators to understand and perform adjustments.

[0097] A complete data comparison and analysis system has been formed to ensure the accuracy of error calculation; the efficiency of data analysis has been improved through visualization; reliable data support has been provided for gasket thickness determination; and the operability of the entire measurement and adjustment process has been improved.

[0098] The three-dimensional transformation data is compared with the standard model to obtain the measurement error of the bearing seat roller group and the basic frame of the part to be tested, which specifically includes:

[0099] Based on the three-dimensional transformation data, the spatial deviation value of the part to be detected is calculated, and an error distribution map is generated, and the area exceeding the preset error threshold is marked. The error distribution map uses a color gradient to indicate the deviation size;

[0100] The compensation height of the part to be inspected is calculated based on the measurement error, and a gasket combination of appropriate thickness is selected from the preset gasket specifications according to the compensation height. A standard gasket thickness database is established, which contains thickness values ​​of gaskets of various specifications. An optimization algorithm is used to select the best combination scheme from the standard gasket thickness database.

[0101] Specifically, this embodiment uses color gradients to visually display deviation distribution, allowing relevant personnel to quickly identify problem areas. By marking areas that exceed preset error thresholds, the efficiency of locating problem areas is improved. The use of visual display methods reduces the difficulty of data interpretation, improves work efficiency, facilitates the storage and comparative analysis of historical data, and facilitates long-term quality tracking.

[0102] By establishing a standard gasket thickness database, the standardization and systematic management of gasket selection is achieved. The optimal gasket combination is automatically selected through the optimization algorithm, which reduces human judgment errors, improves the accuracy and efficiency of gasket selection, and reduces the workload and error rate of manual gasket selection.

[0103] In a specific embodiment, a multi-objective genetic algorithm is used to optimize the gasket combination, and the specific steps include:

[0104] 1) Initialize the population: randomly generate gasket combination solutions that meet the constraints;

[0105] 2) Fitness evaluation: calculate the objective function value of each solution;

[0106] 3) Non-dominated sorting: stratify the population according to the Pareto dominance relationship;

[0107] 4) Crowding calculation: Calculate the crowding degree of individuals in the same layer;

[0108] 5) Selection operation: select excellent individuals based on rank and crowding;

[0109] 6) Crossover operation: use the improved uniform crossover operator;

[0110] 7) Mutation operation: random mutation of adaptive mutation rate;

[0111] 8) Repeat steps 2)-7) until the termination condition is reached.

[0112] Among them, the population size is set to 50, the maximum number of iterations is set to 100, the crossover probability is set to 0.8, the initial mutation probability is set to 0.1, and the optimization objectives include: target compensation height, single gasket thickness, and the total number of gaskets used; the best combination solution is output according to the optimization results.

[0113] The structural adjustment of the part to be detected according to the measurement error also includes:

[0114] Remove the bearing seat roller set and gasket of the part to be inspected, use non-contact 3D scanning equipment to scan the basic frame of the part to be inspected, and check whether the surface flatness and reference point position of the basic frame conform to the standard model;

[0115] When the surface flatness and reference point position of the basic frame do not conform to the standard model, mechanical grinding or adjustment of the reference point position is used for repair;

[0116] According to the calculated gasket thickness, select the gasket of appropriate specifications from the standard gasket library;

[0117] When standard gaskets cannot meet the thickness requirements, laser cutting or CNC machining technology is used to customize gaskets to ensure that the gasket thickness error does not exceed ±0.05mm, and the flatness of the gasket is tested before installation.

[0118] Specifically, this embodiment achieves accurate assessment of the status of the foundation frame through non-contact three-dimensional scanning, promptly discovers abnormal problems on the surface and reference points of the foundation frame, avoids subsequent installation deviations due to foundation frame problems, and establishes digital records of foundation frame inspections to facilitate traceability management.

[0119] Ensure that the surface flatness of the base frame meets the standard through mechanical grinding, ensure the accuracy of the installation benchmark through reference point position adjustment, provide standardized repair solutions, ensure the quality of repair, and reduce installation errors caused by base frame problems.

[0120] Standard gaskets are used first to reduce production costs and inventory management costs. When standard gaskets do not meet the requirements, high-precision gasket customization is achieved through laser cutting or CNC processing. The customized gasket error is strictly controlled within the range of ±0.05mm to meet the gasket requirements under special working conditions.

[0121] Ensure that the flatness of the gasket meets the installation requirements, prevent installation deviations caused by gasket quality problems, establish gasket quality inspection records, achieve quality traceability, and improve installation reliability.

[0122] The structural adjustment of the part to be detected according to the measurement error also includes:

[0123] Use lifting equipment with precise positioning function to perform centering positioning through pre-set reference points; use multi-point synchronous control technology during the lifting process, and install the bearing seat roller group to the adjusted basic frame;

[0124] A torque wrench is used to tighten the bolts in a diagonal cross sequence according to the preset tightening torque value. After tightening, a non-contact three-dimensional measuring device is used to detect the bearing seat roller group to verify whether the curvature and opening degree of the bearing seat roller group meet the requirements of the standard model.

[0125] Specifically, this embodiment achieves precise positioning through preset reference points to reduce installation errors. The lifting equipment with precise positioning function ensures position accuracy, reduces human operation errors, improves installation efficiency, reduces the risk of equipment damage, and achieves repeatable installation.

[0126] This embodiment ensures that the tightening torque is precisely controllable through a torque wrench, and tightens in a diagonal cross sequence to ensure uniform stress distribution, prevents deformation caused by improper tightening, improves connection reliability, and extends the maintenance cycle.

[0127] This embodiment verifies the installation accuracy through non-contact three-dimensional measurement, promptly discovers and corrects installation deviations, ensures that the curvature and opening of the bearing seat roller group meet the requirements, establishes quality inspection records for easy traceability, provides data support, and optimizes subsequent installation processes.

[0128] In a specific embodiment, a multi-point synchronous lifting system is used, and each lifting point is equipped with an independent drive device and sensor to monitor the displacement, load and height in real time to ensure smooth lifting.

[0129] By using PLC or industrial computer as the core control unit, combined with PID algorithm and multi-sensor fusion technology, the synchronous lifting and lowering of the hanging points and load balancing can be achieved.

[0130] The lifting process includes:

[0131] Preparation before lifting: determine the lifting point position, set the reference point and calibrate the equipment.

[0132] Lifting control: monitor the status of lifting points in real time, adjust the lifting speed, and ensure synchronization and load balance.

[0133] Centering positioning: Use precise positioning function to move the equipment to the installation location.

[0134] Complete inspection: Verify installation accuracy using 3D measuring equipment.

[0135] Among them, overload protection, displacement deviation alarm and redundant design are set to ensure the safety and reliability of the lifting process.

[0136] This embodiment achieves stability, accuracy, safety and efficiency in the lifting process, and is suitable for installation scenarios of equipment with heavy weight and high precision requirements, effectively improving installation quality and reducing risks.

[0137] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for offline measurement and adjustment of the curvature of a slab continuous casting machine sector and bending section roller group, wherein one of the sector and bending section roller group is used as a part to be detected, and the part to be detected includes a base frame and a bearing seat roller group, and the bearing seat roller group is installed on the base frame, characterized in that: The measuring method comprises the following steps: Setting a standard model and setting calibration points on the standard model, wherein the dimensions of the standard model are the design dimensions of the base frame and the bearing seat roller assembly; Collect three-dimensional point data of the part to be inspected; Transform the three-dimensional point data according to the calibration points to obtain three-dimensional transformation data; The three-dimensional transformation data is compared with the standard model to obtain the measurement error of the bearing seat roller group and the basic frame of the part to be inspected, and the structure of the part to be inspected is adjusted according to the measurement error.

2. The method for offline measuring and adjusting the curvature of the roller group of the fan-shaped segment and the bending segment of the slab continuous casting machine according to claim 1, characterized in that: The part to be inspected also includes a gasket, and the structural adjustment of the part to be inspected according to the measurement error includes installing a gasket corresponding to the thickness of the measurement error between the base frame and the bearing seat roller group.

3. The method for offline measuring and adjusting the curvature of the roller group of the fan-shaped segment and the bending segment of the slab continuous casting machine according to claim 1, characterized in that: The standard model is set, and calibration points are set on the standard model. The size of the standard model is the design size of the basic frame and the bearing seat roller group, specifically including: According to the geometric deviation calculation algorithm, a preset standard roller group installation base is selected, and a non-contact three-dimensional measuring device is used to scan and measure the preset standard roller group installation base to obtain standard three-dimensional data of the preset standard roller group installation base. The standard three-dimensional data is optimized using a data optimization algorithm to establish a standard model.

4. A method for offline measurement and adjustment of the curvature of the roller group of the fan-shaped segment and the bending segment of a slab continuous casting machine as claimed in claim 3, characterized in that: The calculation formula of the geometric deviation calculation algorithm is: Where ΔD is the geometric deviation between the base measurement point and the design point of the preset standard roller assembly installation base, (X m ,Y m ,Z m ) is the three-dimensional coordinate of the base measurement point, (X d ,Y d ,Z d ) are the three-dimensional coordinates of the design point; When ΔD≤ΔD max When the preset standard roller assembly installation base meets the design requirements, ΔD max is the maximum geometric deviation value; The calculation formula of the data optimization algorithm is: Among them, F is the optimization objective function, w x 、w y 、w z are the weight coefficients in the horizontal, vertical and vertical directions respectively, (X mi ,Y mi ,Z mi ) is the three-dimensional coordinate of the i-th measurement point, (X si ,Y si ,Z si ) is the three-dimensional coordinate of the standard model point corresponding to the i-th measurement point.

5. The method for offline measuring and adjusting the curvature of the roller group of the fan-shaped segment and the bending segment of the slab continuous casting machine according to claim 1, characterized in that: The collecting of three-dimensional point data of the part to be detected specifically includes: Use non-contact 3D scanning equipment to scan the part to be inspected at multiple angles, and process the scan data through an accuracy calibration algorithm to obtain measured 3D data; The measured three-dimensional data is subjected to weighted moving average denoising processing to obtain denoised three-dimensional data, and the denoised three-dimensional data is fitted and calculated using a data processing algorithm to extract the three-dimensional point data of the part to be detected.

6. A method for offline measurement and adjustment of the curvature of the roller group of the fan-shaped segment and the bending segment of a slab continuous casting machine as claimed in claim 5, characterized in that: The calculation formula of the scanning data accuracy calibration algorithm is: Where ΔP is the spatial deviation distance between the scanning point and the detection reference point, (X n ,Y n ,Z n ) is the three-dimensional coordinate of the scanning point, (X b ,Y b ,Z b ) is the three-dimensional coordinate of the detection reference point, and θ is the angle between the scanning device and the part to be detected; The calculation formula of the weighted moving average denoising is: Among them, D' q To denoise three-dimensional data points, D q is the measured three-dimensional data point, k is the point D q The number of points in the neighborhood of j is the jth neighboring point D j The weight coefficient of , α is the denoising adjustment factor.

7. The method for offline measuring and adjusting the curvature of the roller group of the fan-shaped segment and the bending segment of the slab continuous casting machine according to claim 1, characterized in that: The step of transforming the three-dimensional point data according to the calibration points to obtain the three-dimensional transformed data specifically includes: The three-dimensional point data is spatially aligned with the standard model. By setting a detection reference point, the three-dimensional point data is converted into a coordinate system using a three-dimensional coordinate transformation algorithm, so that the three-dimensional point data is aligned with the coordinate system of the standard model to obtain three-dimensional transformation data. During the alignment process, a least squares fitting algorithm is used to minimize the global deviation between the three-dimensional point data and the standard model.

8. The method for offline measuring and adjusting the curvature of the roller group of the fan-shaped segment and the bending segment of the slab continuous casting machine according to claim 2, characterized in that: The three-dimensional transformation data is compared with the standard model to obtain the measurement error of the bearing seat roller group and the basic frame of the part to be tested, which specifically includes: Based on the three-dimensional transformation data, the spatial deviation value of the part to be detected is calculated, and an error distribution map is generated, and the area exceeding the preset error threshold is marked. The error distribution map uses a color gradient to indicate the deviation size; The compensation height of the part to be inspected is calculated based on the measurement error, and a gasket combination of appropriate thickness is selected from the preset gasket specifications according to the compensation height. A standard gasket thickness database is established, which contains thickness values ​​of gaskets of various specifications. An optimization algorithm is used to select the best combination scheme from the standard gasket thickness database.

9. A method for offline measurement and adjustment of the curvature of roller groups of fan-shaped segments and bending segments of a slab continuous casting machine as claimed in claim 8, characterized in that: The structural adjustment of the part to be detected according to the measurement error also includes: Remove the bearing seat roller set and gasket of the part to be inspected, use non-contact 3D scanning equipment to scan the basic frame of the part to be inspected, and check whether the surface flatness and reference point position of the basic frame conform to the standard model; When the surface flatness and reference point position of the basic frame do not conform to the standard model, mechanical grinding or adjustment of the reference point position is used for repair; According to the calculated gasket thickness, select the gasket of appropriate specifications from the standard gasket library; When standard gaskets cannot meet the thickness requirements, laser cutting or CNC machining technology is used to customize gaskets to ensure that the gasket thickness error does not exceed ±0.05mm, and the flatness of the gasket is tested before installation.

10. The method for offline measuring and adjusting the curvature of the roller group of the fan-shaped segment and the bending segment of the slab continuous casting machine according to claim 9, characterized in that: The structural adjustment of the part to be detected according to the measurement error also includes: Use lifting equipment with precise positioning function to perform centering positioning through pre-set reference points; use multi-point synchronous control technology during the lifting process, and install the bearing seat roller group on the adjusted basic frame; A torque wrench is used to tighten the bolts in a diagonal cross sequence according to the preset tightening torque value. After tightening, a non-contact three-dimensional measuring device is used to detect the bearing seat roller group to verify whether the curvature and opening degree of the bearing seat roller group meet the requirements of the standard model.

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