A seamless steel pipe hot rolling whole-process space-time data matching method

Abstract

The application discloses a seamless steel pipe hot rolling whole-process space-time data matching method, comprising the following steps: recording production process data of the seamless steel pipe hot rolling whole process; based on the real-time speed of the seamless steel pipe and the time points of entering and leaving each device, combining the volume invariable principle and the tension distribution coefficient equation between different racks, obtaining the stretching ratio before and after the seamless steel pipe processing, and matching the recorded production process data to each length position of the seamless steel pipe based on the obtained stretching ratio. The technical scheme of the application can realize the seamless steel pipe hot rolling whole-process data inheritance, tracking and tracing functions, and provides a data basis for subsequent quality tracing, process improvement and the like.

Description

Technical Field

[0001] This invention relates to the field of hot rolling production technology for seamless steel pipes, and in particular to a spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes. Background Technology

[0002] The process data of seamless steel pipe manufacturing is constrained by its production characteristics, making it difficult to achieve a perfect match between production process data and the spatial components of the pipe body. Furthermore, poor data integration between processes further hinders the achievement of end-to-end data matching. The vast amount of production experience, process data, and expert knowledge accumulated under traditional models is difficult to apply accurately and efficiently to process improvement, product enhancement, and defect tracing. With the increasing demand for seamless steel pipes from downstream industries, the production process, quality control, and quality inspection of seamless steel pipes face more stringent requirements, and a high degree of balance between production efficiency and cost control is needed. Therefore, understanding the plastic forming laws of the entire seamless steel pipe production process and analyzing its process changes in real time is a major challenge currently facing the seamless steel pipe manufacturing industry. The essence of the problem lies in accurately matching the correspondence between seamless steel pipe production process data and the components along the pipe's length, physically linking the data across different units through component metals, thereby completing data transfer across units and processes, and ultimately achieving correlation analysis and systematic optimization of data with key control points such as product quality, energy consumption, and cost. To achieve spatiotemporal data matching for the entire seamless steel pipe rolling process, two issues need to be addressed: 1) the correspondence between production process data within the unit and the length and position of the seamless steel pipe; and 2) data transfer across units.

[0003] To address this, the steel manufacturing industry and research community have proposed various spatiotemporal transformation methods for production data in both cold and hot strip rolling to achieve the allocation of strip production process data along its length. For example, one paper proposes a method using strip head tracker signals and tension roll encoders to assign real-time production data to corresponding strip length positions; another paper proposes a data alignment method based on the length position of cold-rolled steel coils, matching process data to the length of the main strip coil using a speedometer and the strip length between different process equipment; still another paper proposes a method for synchronizing hot continuous rolling process data, synchronizing time-series data from different stands into isospaced sampling data through spatiotemporal transformation relationships.

[0004] The aforementioned existing technologies primarily address the spatiotemporal transformation issues in cold and hot strip rolling production lines. However, in the field of seamless steel pipes, problems remain regarding the inability to match production data along the length direction and difficulties in data inheritance across different mills. Furthermore, unlike strip steel, seamless steel pipes exhibit greater deformation and complex situations such as multi-stand tension reduction, resulting in more complex deformation along the length of the pipe. This makes it impossible to simply match production data using proportional scaling. Therefore, the seamless steel pipe production field urgently needs a spatiotemporal data matching method for the entire seamless steel pipe rolling process to achieve synchronization of production data along the length of the steel pipe. Summary of the Invention

[0005] This invention provides a spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes, in order to solve the technical problems in the field of seamless steel pipes, where existing technologies cannot match the production data corresponding to the seamless steel pipes to the length direction of the processed seamless steel pipes, and the difficulty of cross-unit data inheritance.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] A spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes, comprising:

[0008] Record the entire production process data of hot rolling seamless steel pipes;

[0009] Based on the real-time speed of the seamless steel pipe and the time points of its entry and exit from each piece of equipment, combined with the principle of constant volume and the tension distribution coefficient equation between different frames, the stretching ratio of the seamless steel pipe before and after processing is obtained. Based on the obtained stretching ratio, the recorded production process data is matched to each length position of the seamless steel pipe.

[0010] Furthermore, record the entire production process data for the hot rolling of seamless steel pipes, including:

[0011] The production process data of the entire hot rolling process of seamless steel pipe is collected by sensors deployed on the production line and stored in the database. The database is connected to synchronize the corresponding data and uploaded to the relational database. The data synchronization adopts the method of directly connecting to the source database server, periodically reading the latest record information of the specified data table, and inserting the read data into the corresponding table in the own database.

[0012] Furthermore, based on the real-time speed of the seamless steel pipe and the time points of its entry and exit from each piece of equipment, combined with the principle of constant volume and the tension distribution coefficient equation between different frames, the stretching ratio of the seamless steel pipe before and after processing is obtained. Based on the obtained stretching ratio, the recorded production process data is matched to various length positions of the seamless steel pipe, including:

[0013] The continuous production line for the entire hot rolling process of seamless steel pipes is divided into multiple process sections according to the process.

[0014] A first head-and-tail detector and a second head-and-tail detector are installed at the inlet and outlet sections of the process equipment corresponding to each process segment, and a first roller encoder and a second roller encoder are installed at the inlet and outlet sections of the process equipment corresponding to each process segment; wherein, the first head-and-tail detector and the second head-and-tail detector are used to detect the time when the seamless steel pipe passes through, and the first roller encoder and the second roller encoder are used to detect the real-time speed of the seamless steel pipe when it passes through.

[0015] Based on the time and real-time speed of the seamless steel pipe head passing the first head and tail detector, and combined with the distance between the first head and tail detector and the inlet of the process equipment, the time t1 when the seamless steel pipe head reaches the inlet of the process equipment is calculated.

[0016] Based on the time when the head of the seamless steel pipe passes the first head and tail detector, the time when the tail of the seamless steel pipe passes the first head and tail detector, and the real-time speed of the seamless steel pipe detected by the first roller encoder, the length L of the seamless steel pipe before entering the process equipment is calculated.

[0017] Based on the time when the head of the seamless steel pipe passes the second head and tail detectors, the time when the tail of the seamless steel pipe passes the second head and tail detectors, and the real-time speed of the seamless steel pipe detected by the second roller encoder, the length L′ of the seamless steel pipe after leaving the process equipment is calculated.

[0018] For the production process data outside the process equipment and for the single-stand process equipment, the production process data corresponding to time t1+(n-1)×△t is sequentially assigned to the seamless steel pipe after leaving the process equipment at a distance from the pipe head of . The location; among which, n≥1, n=1,2,3,4,5......; △t is the preset time interval; v1 represents the real-time speed of the seamless steel pipe detected by the first roller encoder; when L(n-1)=L, the data allocation for the entire length of the seamless steel pipe is completed;

[0019] For production process data of equipment with multiple frames, the stretching ratio of the seamless steel pipe before and after processing for each frame is calculated. Based on the stretching ratio of the seamless steel pipe before and after processing for each frame, the recorded production process data is matched to each length position of the seamless steel pipe.

[0020] Furthermore, for production process data of equipment with multiple frames, the stretching ratio of the seamless steel pipe before and after processing for each frame is calculated. Based on the stretching ratio of the seamless steel pipe before and after processing for each frame, the recorded production process data is matched to various length positions of the seamless steel pipe, including:

[0021] Based on the principle of constant volume, the following equations are established between adjacent racks:

[0022]

[0023] Where δ0 represents the wall thickness of the seamless steel pipe before it enters the processing equipment, d0 represents the outer diameter of the seamless steel pipe before it enters the processing equipment, and s0 represents the length of the seamless steel pipe before it enters the processing equipment; δ i d represents the wall thickness of the seamless steel pipe after passing through the i-th frame. i This represents the outer diameter of the seamless steel pipe after passing through the i-th frame, where i = 1, 2, 3, 4, 5, ..., m, and m represents the number of frames in the process equipment; s i-1 A1 represents the length of the seamless steel pipe before it enters the i-th rack, where i = 1, 2, 3, 4, 5, ..., m, m represents the number of racks in the process equipment; A1 represents the distance between adjacent racks.

[0024] Based on the theory of seamless steel pipe rolling, the stretching ratio of the seamless steel pipe before and after passing through the i-th stand is: Multiplying the stretching ratios corresponding to each frame should equal the stretching ratio of the steel pipe before and after passing through the processing equipment, that is:

[0025]

[0026] For process equipment without tension reduction, combine equation (2) and equation (1) to find the stretch ratio of the seamless steel pipe in the length direction before and after passing through each frame of the process equipment.

[0027] For equipment with tension reduction processes, the relationship between the tension coefficient of each frame, the outer diameter of the seamless steel pipe, and the wall thickness of the seamless steel pipe is expressed by the following formula:

[0028] D zi =D mi -d i cos (θ i +Δθ i (3)

[0029]

[0030] in:

[0031]

[0032]

[0033]

[0034] Among them, D ziD represents the working diameter of the rolls in the i-th stand; mi n represents the nominal diameter of the i-th rack; i δ represents the rotational speed of the rolls in the i-th stand; i-1 d represents the wall thickness of the seamless steel pipe after passing through the (i-1)th frame; i-1 The outer diameter of the seamless steel pipe after passing through the (i-1)th stand is represented by n; n1 represents the rolling speed of the first stand; D m(i-1) This represents the nominal diameter of the (i-1)th rack; The value represents the average diameter of the rough tube entering the orifice; μ represents the equipment friction coefficient; l i Z represents the contact arc length on the bottom of the aperture of the i-th frame; i+1 Z represents the tension coefficient of the i-th frame; i λ is the tension coefficient of the (i-1)th frame; i This represents the stretching ratio of the seamless steel pipe before and after passing through the i-th frame; γ is the wrap angle of the rolls to the rough tube; k is the number of rolls in the stand; γ is the equipment coefficient value;

[0035] Based on formulas (3) and (4), establish 2m equations concerning the tension coefficient, elongation ratio, and steel pipe wall thickness before and after passing through each frame. Then, combine these equations with formulas (1) and (2) to determine the elongation ratio of the seamless steel pipe before and after passing through each frame in the process equipment where tension reduction exists.

[0036] Based on the stretching ratio of the seamless steel pipe in the length direction at the front and back of each frame, the recorded production process data is matched to each length position of the seamless steel pipe.

[0037] Furthermore, based on the stretching ratio of the seamless steel pipe in the length direction before and after each frame, the recorded production process data is matched to various length positions of the seamless steel pipe, including:

[0038] Let t be the time when the steel pipe head reaches the i-th frame. i Then we have:

[0039]

[0040] Where A0 represents the distance between the first head and tail detector and the entrance of the process equipment;

[0041] t is calculated using the above formula. i ; will t i The production process data corresponding to time +(n-1)×△t is assigned to a position in the seamless steel pipe after leaving the i-th frame, at a distance L(n-1) from the pipe head; where, if the seamless steel pipe is within the detection range of the first head and tail detector at this time, then If the seamless steel pipe is within the detection range of the second end detector at this time, then Where v2 represents the real-time speed of the seamless steel pipe detected by the second roller encoder;

[0042] When L(n-1) = L′, the data allocation for the entire length of the seamless steel pipe is completed.

[0043] Furthermore, the spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes also includes:

[0044] For non-aligned points in the production process data of the entire hot rolling process of seamless steel pipe, the sampled values ​​are estimated by interpolation.

[0045] The beneficial effects of the technical solution provided by this invention include at least the following:

[0046] The spatiotemporal data matching method provided by this invention utilizes head-and-tail detectors and roller encoders in each process segment to measure the length, real-time speed, and entry / exit times of the seamless steel pipe. Based on the principle of constant volume, a volume equation is constructed for the steel pipe before and after passing through each stand. Furthermore, by considering the roll pass shape, friction coefficient, and roll speed of each stand, a set of equations is established regarding the tension distribution coefficient of the steel pipe between different stands. Solving these equations simultaneously yields the stretching ratio of the steel pipe before and after passing through each stand. Based on the calculated stretching ratio, the process data is precisely matched to various length positions of the seamless steel pipe through scaling. This allows the data of the entire hot rolling process of seamless steel pipe to be inherited, tracked, and traced, providing data support for subsequent quality traceability and process improvement. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 This is a flowchart of the spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes provided in this embodiment of the invention;

[0049] Figure 2 This is a schematic diagram of a section of a seamless steel pipe hot rolling production line. The equipment in the diagram is a sizing mill. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0051] This embodiment provides a spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes. This method combines two methods: calculating tension distribution and establishing equations based on the principle of volume invariance. It calculates the extension length of the seamless steel pipe in the length direction at each moment in the production process, thereby matching the production data to each position of the seamless steel pipe and realizing the allocation of spatiotemporal data.

[0052] Specifically, the execution flow of this method is as follows: Figure 1 As shown, it includes the following steps:

[0053] S1 records the production process data of the entire hot rolling process of seamless steel pipes;

[0054] Specifically, in this embodiment, the implementation process of S1 is as follows: Temperature and equipment parameters at the inlet and outlet of each device are collected by sensors and stored in a primary database. Taking the sizing mill as an example, the temperature before sizing, the final rolling temperature, the type of each stand hole, the roll speed, the descaling pressure, and the current of each stand are all collected by sensors and stored in the database. The corresponding data is synchronized with the database and uploaded to a relational database to prepare for data reorganization and spatiotemporal transformation. Data synchronization adopts a direct connection to the source database server, periodically reading the latest record information from the specified data table and inserting it into the corresponding table in the user's database.

[0055] S2, based on the moving speed of the seamless steel pipe and the time points of entering and exiting each piece of equipment, combined with the principle of constant volume and the tension distribution coefficient equation between different frames, the stretching ratio of the seamless steel pipe before and after processing is obtained. Based on the obtained stretching ratio, the recorded production process data is matched to each length position of the seamless steel pipe.

[0056] Specifically, in this embodiment, the implementation process of S2 is as follows:

[0057] S21 divides the continuous production line for the entire hot rolling process of seamless steel pipes into several process segments according to the process. Each segment is as follows: Figure 2 As shown; a first head-to-tail detector and a second head-to-tail detector are installed at the inlet and outlet sections of the corresponding process equipment in each process segment. The first head-to-tail detector is A0 away from the head of the process equipment, and the second head-to-tail detector is A2 away from the tail of the process equipment. A steel pipe head-to-tail detector is installed at the head, tail, and between each segment of the production line to collect the time when the steel pipe arrives at and leaves the head-to-tail detector. At the same time, a first roller encoder and a second roller encoder are installed at the inlet and outlet sections of the corresponding process equipment in each process segment to collect the speed of the steel pipe at various moments. It is necessary to ensure that the head-to-tail detector and the roller encoder at each location measure the speed and passage time of the steel pipe at the same point. The steel pipe travel can be obtained by integrating the real-time speed of the steel pipe measured by the roller encoder with time t. When the seamless steel pipe travels... When the seamless steel pipe head reaches the process equipment, this indicates that the seamless steel pipe head has just arrived at the time. Taking this moment t = t1 as the starting point for calculating the seamless steel pipe length, the process equipment data at this moment is recorded as the first set of data. Similarly, when the seamless steel pipe travels... When the seamless steel pipe just leaves the process equipment, it indicates that the tail of the seamless steel pipe has just left the process equipment. Here, v1 is the real-time speed measured by the first roller encoder, in m / s; v2 is the real-time speed measured by the second roller encoder, in m / s; t is the time it takes for the head of the steel pipe to pass through the head-tail detector, in seconds; t1 is the time it takes for the head of the seamless steel pipe to travel from the first head-tail detector to the process equipment, in seconds; A0 is the distance from the first head-tail detector to the head of the process equipment, in meters; and A2 is the distance from the second head-tail detector to the tail of the process equipment, in meters.

[0058] S22, when the first head and tail detector detects the tail of the seamless steel pipe, record the time elapsed at this moment as t = t1 + ΔT, then the stroke of the seamless steel pipe is... The length of the steel pipe before leaving the process equipment can be calculated as follows: Similarly, the second head and tail detector and the second roller encoder can be used to integrate the real-time speed and time between the head and tail of the steel pipe to calculate the length L′ of the steel pipe after leaving the process equipment.

[0059] S23. For data on equipment outside the process and single-stand process equipment, such as pre-sizing temperature, final rolling temperature, piercing mill rolling angle, guide plate distance, and top extension, the seamless steel pipe inevitably undergoes length changes as it passes through each piece of equipment. Therefore, the data cannot be directly allocated to the pipe length based on time. According to rolling theory, although the seamless steel pipe is affected by different die types and tensions in each section, resulting in complex deformation, each section of the pipe undergoes the same production process, which is considered a steady state. Therefore, the deformation degree of each section of the pipe is considered to be the same, meaning that the deformation length of any section of the pipe is the same. Thus, the allocation method can be based on the principle of constant pipe volume, scaling proportionally. The specific method is as follows:

[0060] From S22, we can determine the lengths L and L′ of the steel pipe before and after any process equipment. Therefore, we can determine the total elongation ratio after that process equipment. When the seamless steel pipe passes the sensor, the data collected by the sensor at this moment is recorded as the first set of data. Similarly, when t = t1 + (n-1) × Δt (n ≥ 1, n = 1, 2, 3, 4, 5...), the sensor data at this moment is recorded as the (n-1)th set of data. The (n-1)th set of instantaneous data [dim(n-1)-data1, dim(n-1)-data2, dim(n-1)-data3, dim(n-1)-data4...] is assigned to a distance of [length from the head of the steel pipe]... The positions of all data are represented in matrix form, i.e.:

[0061] The steel pipes are sequentially distributed at a distance of 100 mm from the head. The location.

[0062] When L(n-1) = L, the data allocation for the entire length of the steel pipe is completed.

[0063] In the above formula, L(1) represents the distance from the first point to the head of the steel pipe, [dim(1)-data1] represents the size of the first data item corresponding to data1, and [dim(1)-data2] represents the size of the first data item corresponding to data2; L(n-1) represents the distance from the (n-1)th point to the head of the steel pipe, [dim(n-1)-data1] represents the size of the (n-1)th data item corresponding to data1, and [dim(n-1)-data2] represents the size of the (n-1)th data item corresponding to data2, and so on.

[0064] The above formula represents mapping a total of n-1 sets of data from the process equipment to a specified position on the steel pipe. The (n-1)th instantaneous data set [dim(n-1)-data1, dim(n-1)-data2, dim(n-1)-data3, dim(n-1)-data4.......] is matched to a position at a distance of _____ from the head of the steel pipe. The location.

[0065] S24. For process equipment with multiple stands, such as sizing mills and continuous rolling mills, the length of the steel pipe changes as it passes through any stand due to tension reduction and roll pressing. It is necessary to calculate the time when the head of the steel pipe reaches each stand, and then perform scaling and matching. The specific method is as follows.

[0066] S241, Calculate the volume V of the steel pipe passing through stand i during the rolling process. i =πδ i (d i -δ i )s i Then, using the principle of constant volume during the process, an equation is established, namely:

[0067] πδ i-1 (d i-1 -δ i-1 )s i-1 =πδ i (d i -δ i A1

[0068] Where, d i-1 This indicates the outer diameter of the steel pipe after passing through frame i-1, in mm; δ i-1This indicates the wall thickness of the steel pipe after passing through frame i-1, in mm; s i-1 d represents the length of the steel pipe after passing through frame i-1, in meters. i δ represents the outer diameter of the steel pipe after passing through frame i, in mm; i A1 represents the wall thickness of the steel pipe after passing through rack i, in mm; A1 represents the distance from rack i to the next rack, i.e., the distance between adjacent racks, in m.

[0069] It is known that the distance between adjacent racks is fixed and known, i.e., A1 is a known quantity. When there are m racks, there are m such equations. If the length, outer diameter, and wall thickness of the steel pipe before passing through a certain process equipment are s0, d0, and v0 respectively, then these m equations are:

[0070]

[0071] S242, according to the theory of seamless steel pipe rolling, the ratio of the length of the steel pipe before and after passing through each stand is... Multiplying the length ratios of each frame should equal the length ratio of the steel pipe before and after that process, i.e.:

[0072]

[0073] Where L represents the length of the steel pipe before it passes through a certain process equipment, in meters; L′ represents the length of the steel pipe after it passes through a certain process equipment, in meters; s iq A1 represents the length of the steel pipe before frame i, in meters; A2 represents the distance from frame i to the next frame, which is a known quantity, in meters.

[0074] For typical multi-stand rolling processes, such as continuous rolling mills, since there is no tension reduction, the above formula needs to be combined with the equations in S241 to obtain s. i-1 and the outer diameter d passing before and after each frame i and wall thickness δ i That is, the length extension ratio of the fixed volume steel pipe before and after passing through the machine frame i of the process equipment was calculated.

[0075] S243: For multi-stand continuous rolling processes without tension reduction, skip this step and proceed directly to S244. For multi-stand continuous rolling processes with tension reduction, such as sizing mills, the relationship between the tension coefficient, outer diameter, and wall thickness of each stand is expressed by the following formula:

[0076] D zi =D mi -d i cos(θ+Δθ)

[0077]

[0078] in:

[0079]

[0080]

[0081]

[0082] Where l represents the contact arc length at the bottom of the aperture. Unit: mm; This indicates the wrap angle of the rolls onto the rough tube. For a three-roll tension reduction mill, k represents the number of rolls in the frame; b represents the average diameter of the rough tube entering the aperture, in mm; i R represents the short half-axis of frame i, in mm. min D indicates the radius of the bottom roll of the die, in mm; mi D represents the nominal diameter of the i-th frame, in mm; zi The working diameter of the roll in the i-th stand is represented in mm; μ represents the coefficient of friction, which is determined by the roll pass shape, seamless steel pipe material, etc., and is a known quantity; n i Z represents the rotational speed of the rolls in frame i, which is a known quantity and is expressed in rpm. i γ represents the tension coefficient, dimensionless; γ is a coefficient, 0.5–0.6 for reducing mills; δ i d represents the wall thickness of the seamless steel pipe after passing through the machine frame i, in mm. i δ represents the outer diameter of the seamless steel pipe after passing through frame i, in mm. i-1 This indicates the wall thickness of the seamless steel pipe after passing through frame i-1, in mm; d i-1 λ represents the outer diameter of the seamless steel pipe after passing through frame i-1, in mm. i This represents the extension factor in rack i, i.e.

[0083] Based on the above formula, establish 2m tension coefficients Z before and after passing through each frame. i Elongation coefficient λ i and wall thickness δ i The equation is given, where m represents the number of racks in the equipment for this process. Then, by combining this equation with the equations obtained in S241 and S242, the tension coefficient Z after passing through each rack can be calculated. i Elongation coefficient λ i and wall thickness δ i That is, the length extension ratio of the fixed volume steel pipe before and after passing through the machine frame i of the equipment in this process was calculated.

[0084] S244, let t iWhen the head of the steel pipe reaches the i-th frame (i = 2, 3, 4...), then:

[0085]

[0086] t can be calculated from the above equation. i , will t i The data for rack i of the equipment at time t is recorded as the first set of data. When t = t i +(n-1)×△t (n≥1, n=1,2,3,4,5......), assign the (n-1)th instantaneous data set [dim(n-1)-data1, dim(n-1)-data2, dim(n-1)-data3, dim(n-1)-data4.......] of the i-th frame of the equipment at this moment to a position L(n-1) from the head of the steel pipe. Where, if the seamless steel pipe is within the detection range of the first head and tail detector at this moment, then... If the seamless steel pipe is within the detection range of the second end detector at this time, then

[0087] The distribution of all data can be represented in matrix form as follows:

[0088]

[0089] The steel pipes are sequentially distributed at a distance of 100 mm from the head. The location.

[0090] When L(n-1) = L′, the data allocation for the entire length of the steel pipe is completed.

[0091] Furthermore, the method in this embodiment also includes:

[0092] S3, during the spatiotemporal transformation process, interpolation is used to estimate sampled values ​​for non-aligned points. After the transformation is completed, the time-varying and time-delayed nature of the original data is eliminated, and the production data for the entire length of the seamless steel pipe is obtained.

[0093] The following practical application example illustrates the implementation process of the method of the present invention.

[0094] Since the spatiotemporal data matching of the sizing mill requires all the steps of this invention, taking the sizing process data of a seamless steel pipe hot rolling production line in a certain factory as an example, the production data is matched to various length positions of the steel pipe, and the section arrangement is as follows: Figure 2 As shown, the distance between the first head and tail inspection instrument and the head of the process equipment is A0 = 3m, the distance between the second head and tail inspection instrument and the tail of the process equipment is A2 = 3m, and the distance between each frame of the sizing machine is A1 = 0.5m, as detailed below:

[0095] Step 1: Collect data such as pre-sizing temperature, final rolling temperature, mill pass type, roll speed, mill torque, descaling pressure, and mill current using sensors and store them in a primary database. Connect to the database to synchronize the corresponding data and upload it to a relational database to prepare for data reorganization and spatiotemporal transformation. Data synchronization uses a direct connection to the source database server, periodically reading the latest record information from the specified data table and inserting it into the corresponding table in the user's database.

[0096] Step 2: Install a first end-to-end detector at the sizing mill inlet and a second end-to-end detector at the outlet to collect the arrival and departure times of the steel pipe. Install a first roller encoder and a second roller encoder at the inlet and outlet sections of the sizing mill to collect the speed of the steel pipe at various times. Ensure that the end-to-end detectors and roller encoders at each location measure the speed and passage time at the same point on the steel pipe. The speed is then calculated by integrating the real-time speed v1 of the steel pipe from the first roller encoder with time t. That is, when the seamless steel pipe is in motion When t=t1, it indicates that the head of the seamless steel pipe has just reached the process equipment. Taking this moment t=t1 as the starting point for calculating the length of the seamless steel pipe, the relevant data from the sizing machine at this moment is recorded as the first set of data. Similarly, when the seamless steel pipe travels... If the tail of the seamless steel pipe just leaves the process equipment, it means that the pipe has just left the equipment.

[0097] Step 3: When the first head-to-tail detector detects the tail of the seamless steel pipe, record the time elapsed at this moment as t = t1 + ΔT. Then, the stroke of the seamless steel pipe is... The length of the steel pipe before leaving the process equipment can be calculated as follows: Similarly, the second head and tail detector can be used to calculate the length L′ of the steel pipe after leaving the process equipment by integrating the real-time speed and time between the head and tail of the steel pipe. The result is 11.25m.

[0098] Step 4: For data outside the process equipment, such as temperature before sizing, final rolling temperature, and descaling pressure, the allocation method can be based on the principle of constant steel pipe volume, and scaled proportionally. When t = t1 + (n-1) × Δt (n ≥ 1, n = 1, 2, 3, 4, 5...), the seamless steel pipe stroke is... Record the sensor data at this moment as the (n-1)th data group. Assign the (n-1)th instantaneous data group [dim(n-1) - temperature before sizing, dim(n-1) - final rolling temperature, dim(n-1) - descaling pressure] to a distance of [length from the head of the steel pipe]. The positions, represented in matrix form, are the distribution of all data as follows:

[0099] The steel pipes are sequentially distributed at a distance of 100 mm from the head. The location.

[0100] When L(n-1) = L = 9.2m, the data allocation for the entire length of the steel pipe is completed.

[0101] Step 5: Since the length of the steel pipe changes due to tension reduction and roll pressing when it passes through any stand of the sizing machine, it is necessary to calculate the time when the head of the steel pipe reaches each stand, and then perform scaling and matching. The specific method is as follows.

[0102] Step 5.1: Calculate the volume V of the steel pipe passing through stand i during the rolling process. i =πδ i (d i -δ i )s i Then, using the principle of constant volume during the process, an equation is established. The sizing machine has 8 stands, and the distance between each stand is s1 = 0.5m. Therefore:

[0103]

[0104] Step 5.2: According to the theory of seamless steel pipe rolling, the length ratio of the steel pipe before and after passing through each stand is... Multiplying the length ratios of each frame should equal the length ratio of the steel pipe before and after that process, i.e.:

[0105]

[0106] Step 5.3: Consulting the literature, we determine that the friction coefficient μ = 0.4 in this embodiment, the equipment is a three-roll sizing mill, and k = 3. Substituting the known roll pass parameters and roll speeds into the 25 equations from steps 5.1, 5.2, and 5.3, and solving them simultaneously, we can calculate the elongation ratio of the steel pipe before and after passing through each stand of the process equipment in the length direction. In this embodiment, s1 = 0.5m. The following are the values ​​for each rack. iq The calculated value.

[0107] Table 1. Each rack s iq Calculated value

[0108]

[0109] Step 5.4: Taking the second frame as an example, let the steel pipe head reach the second frame at time t2, then:

[0110]

[0111] t2 can be calculated using the above equation. The data from the second frame of the equipment at time t2 is recorded as the first set of data. When t = t2 + (n-1) × Δt (n ≥ 1, n = 1, 2, 3, 4, 5...), the (n-1)th set of instantaneous data from the second frame of the equipment at this moment [dim(n-1)-2 frame speed, dim(n-1)-2 frame torque, dim(n-1)-2 frame current] is assigned to a position L(n-1) away from the head of the steel pipe. If the seamless steel pipe is within the detection range of the first head and tail detector at this time... If at this time the seamless steel pipe is within the detection range of the second head and tail detector. The distribution of all data can be represented in matrix form as follows:

[0112]

[0113] The steel pipes are sequentially distributed at a distance of 100 mm from the head. The location.

[0114] When L(n-1) = L′, the data allocation for the entire length of the steel pipe is complete. The remaining frames are allocated in the same way.

[0115] Step 6: During the spatiotemporal transformation, the sampled values ​​are estimated by interpolation for non-aligned points. After the transformation is completed, the time-varying and time-delayed nature of the original data is eliminated, and the production data for the entire length of the seamless steel pipe is obtained.

[0116] In summary, this embodiment provides a spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes. This method utilizes pipe end-to-end detectors and roller encoders at the inlet and outlet sections of each process equipment on the seamless steel pipe production line to measure the arrival and departure times and real-time throughput speed of the seamless steel pipe at each process equipment. Based on the principle of constant volume, a volume equation is established for the steel pipe before and after passing through each stand. Furthermore, based on the roll pass shape, friction coefficient, and roll speed of each stand, a system of equations is established regarding the tension distribution coefficient of the seamless steel pipe between stands. Solving these equations simultaneously yields the stretching ratio of the steel pipe before and after passing through each stand. Based on the calculated stretching ratio, a scaling method is used to match the generated process data to various length positions of the seamless steel pipe, thereby realizing the data inheritance, tracking, and traceability functions for the entire hot rolling process of seamless steel pipes, providing a data foundation for subsequent quality traceability and process improvement.

[0117] Furthermore, it should be noted that the present invention can be provided as a method, apparatus, or computer program product. Therefore, embodiments of the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, embodiments of the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code.

[0118] Embodiments of the present invention are described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0119] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing terminal equipment to cause a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0120] It should also be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0121] Finally, it should be noted that the above description represents a preferred embodiment of the present invention. It should be pointed out that although preferred embodiments have been described, those skilled in the art, once they understand the basic inventive concept of the present invention, can make various improvements and modifications without departing from the principles described herein. These improvements and modifications should also be considered within the scope of protection of the present invention. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the embodiments of the present invention.

Claims

1. A spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes, characterized in that, include: Record the entire production process data of hot rolling seamless steel pipes; Based on the real-time speed of the seamless steel pipe and the time points of its entry and exit from each piece of equipment, combined with the principle of constant volume and the tension distribution coefficient equation between different frames, the stretching ratio of the seamless steel pipe before and after processing is obtained. Based on the obtained stretching ratio, the recorded production process data is matched to various length positions of the seamless steel pipe, including: The continuous production line for the entire hot rolling process of seamless steel pipes is divided into multiple process sections according to the process. A first head-and-tail detector and a second head-and-tail detector are installed at the inlet and outlet sections of the process equipment corresponding to each process segment, and a first roller encoder and a second roller encoder are installed at the inlet and outlet sections of the process equipment corresponding to each process segment; wherein, the first head-and-tail detector and the second head-and-tail detector are used to detect the time when the seamless steel pipe passes through, and the first roller encoder and the second roller encoder are used to detect the real-time speed of the seamless steel pipe when it passes through. Based on the time and real-time speed of the seamless steel pipe head passing the first head-tail detector, and combined with the distance between the first head-tail detector and the inlet of the process equipment, the time when the seamless steel pipe head reaches the inlet of the process equipment is calculated. ; Based on the times when the head and tail of the seamless steel pipe pass through the first head and tail detectors, as well as the real-time speed of the seamless steel pipe detected by the first roller encoder, the length of the seamless steel pipe before entering the process equipment is calculated. L ; Based on the times when the head and tail of the seamless steel pipe pass through the second head and tail detectors, as well as the real-time speed of the seamless steel pipe detected by the second roller encoder, the length of the seamless steel pipe after leaving the process equipment is calculated. ; For production process data outside of process equipment and for single-rack process equipment, sequentially... +( n The production process data corresponding to time -1)×△t is allocated to the seamless steel pipe after it leaves the process equipment, at a distance of the pipe head length. The location; among which, ; n =1,2,3,4,5......; △t is the preset time interval; This indicates the real-time speed of the seamless steel pipe detected by the first roller encoder; when = L At that time, the data allocation for the entire length of the seamless steel pipe was completed; For production process data of equipment with multiple frames, the stretching ratio of the seamless steel pipe before and after processing for each frame is calculated. Based on the stretching ratio of the seamless steel pipe before and after processing for each frame, the recorded production process data is matched to each length position of the seamless steel pipe.

2. The spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes as described in claim 1, characterized in that, Record the entire production process data of seamless steel pipe hot rolling, including: The production process data of the entire hot rolling process of seamless steel pipe is collected by sensors deployed on the production line and stored in the database. The database is connected to synchronize the corresponding data and uploaded to the relational database. The data synchronization adopts the method of directly connecting to the source database server, periodically reading the latest record information of the specified data table, and inserting the read data into the corresponding table in the own database.

3. The spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes as described in claim 1, characterized in that, For production process data of equipment with multiple stands, the stretching ratio of the seamless steel pipe before and after processing for each stand is calculated. Based on the stretching ratio of the seamless steel pipe before and after processing for each stand, the recorded production process data is matched to various length positions of the seamless steel pipe, including: Based on the principle of constant volume, the following equations are established between adjacent racks: （1） in, This indicates the wall thickness of the seamless steel pipe before it enters the processing equipment. This indicates the outer diameter of the seamless steel pipe before it enters the processing equipment. This indicates the length of the seamless steel pipe before it enters the processing equipment; This indicates that the seamless steel pipe has passed the first i The wall thickness behind each rack This indicates that the seamless steel pipe has passed the first i The outer diameter after the rack, i =1,2,3,4,5,..., m , m Indicates the number of racks in the equipment used in the process; This indicates that seamless steel pipes have entered the first stage. i The length in front of each rack i =1,2,3,4,5,..., m , m Indicates the number of racks in the equipment used in the process; Indicates the distance between adjacent racks; Based on the theory of seamless steel pipe rolling, it is known that seamless steel pipes undergo the first... i The stretch ratio of each rack before and after is Multiplying the stretching ratios corresponding to each frame should equal the stretching ratio of the steel pipe before and after passing through the processing equipment, that is: （2） For process equipment without tension reduction, combine equation (2) with equation (1) to find the stretch ratio of the seamless steel pipe in the length direction before and after passing through each frame of the process equipment. For equipment with tension reduction processes, the relationship between the tension coefficient of each frame, the outer diameter of the seamless steel pipe, and the wall thickness of the seamless steel pipe is expressed by the following formula: （3） （4） in: ； ； ； in, Indicates the first i The working diameter of the rolls in each stand; Indicates the first i The nominal diameter of each rack; Indicates the first i The rotational speed of the rolls in each stand; This indicates that the seamless steel pipe has passed the first i -1 rack wall thickness; This indicates that the seamless steel pipe has passed the first i -1 rack length outer diameter; This indicates the rotational speed of the rolls in the first stand; Indicates the first i -1 nominal diameter of the rack; This indicates the average diameter of the rough tube entering the orifice; Indicates the coefficient of friction of the equipment; Indicates the first i The contact arc length on the bottom of the hole in each rack; For the first i Tension coefficient of each frame; For the first i -1 frame tension coefficient; This indicates that the seamless steel pipe has undergone the first... i The stretch ratio of the front and rear of each rack; The wrap angle of the rolls onto the rough tube; This refers to the number of rolls in the frame; This refers to the equipment coefficient value; Based on formulas (3) and (4), establish 2 m An equation concerning the tension coefficient, elongation ratio, and steel pipe wall thickness before and after passing through each frame is used. Then, it is combined with formulas (1) and (2) to determine the elongation ratio of the seamless steel pipe before and after passing through each frame in a process equipment where tension reduction exists. Based on the stretching ratio of the seamless steel pipe in the length direction at the front and back of each frame, the recorded production process data is matched to each length position of the seamless steel pipe.

4. The spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes as described in claim 3, characterized in that, Based on the stretching ratio of the seamless steel pipe along its length at the front and rear of each frame, the recorded production process data is matched to various length positions of the seamless steel pipe, including: Assume the steel pipe head reaches the first i The time for each rack is Then we have: ； in, This indicates the distance between the first and last inspection instruments and the entry point of the process equipment; Calculated according to the above formula ;Will +( n -1)×△t time corresponding to the production process data is allocated to the data leaving the first i The distance from the head of the seamless steel pipe behind the frame is [length]. The position; where, if the seamless steel pipe is within the detection range of the first head and tail detector at this time, then = If the seamless steel pipe is within the detection range of the second end detector at this time, then = ;in, This indicates the real-time speed of the seamless steel pipe detected by the second roller encoder; when = At that time, the data allocation for the entire length of the seamless steel pipe was completed.

5. The spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes as described in any one of claims 1 to 4, characterized in that, The spatiotemporal data matching method for the entire hot rolling process of seamless steel pipes also includes: For non-aligned points in the production process data of the entire hot rolling process of seamless steel pipe, the sampled values ​​are estimated by interpolation.

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