CN-121998866-A - Image distortion restoration method for longitudinal submerged arc welded pipe steel plate compression forming deformation detection

CN121998866ACN 121998866 ACN121998866 ACN 121998866ACN-121998866-A

Abstract

A method for repairing image distortion in the compression forming deformation detection of a longitudinal submerged arc welded pipe steel plate. The image detection device, the PC terminal, the application server and the background database of the steel plate press deformation image online detection system are sequentially connected and arranged, application software is installed in the application server, the PC terminal is in communication connection with the image detection device, the longitudinal submerged arc welded pipe steel plate press forming deformation detection image distortion restoration method comprises the steps of establishing a longitudinal submerged arc welded pipe steel plate press forming model database, monitoring, collecting and analyzing forming parameters in real time, calculating steel plate press deformation characteristic data, and predicting and guiding the reduction of a forming die. The method has the beneficial effects that the image distortion repairing system is established for detecting the pressing deformation of the steel plate, the welding pipe forming process is corrected in real time according to the monitoring image distortion in the pressing process of the longitudinal submerged arc welding pipe forming steel plate, the manufacturing process of the oil gas pipeline is optimized, the control capability of the lifting pipe is improved, and the product quality is guaranteed.

Inventors

WEI YAOHUA
Jiao Yuanna
LIU TAO
LIU GUANGCHUAN
WANG JING
SUN LEI
ZHENG YUE
ZHENG HONGMEI
XU GANG
FU XUEQIANG

Assignees

中国石油集团渤海石油装备制造有限公司
中国石油天然气集团有限公司

Dates

Publication Date: 20260508
Application Date: 20241107

Claims (8)

1. A method for repairing deformation detection image distortion of a longitudinal submerged arc welded pipe steel plate by compression molding is characterized by comprising the following steps: the image detection device, the PC terminal, the application server and the background database of the steel plate pressing deformation image online detection system are sequentially connected and arranged, the application software is installed in the application server, and the PC terminal is in communication connection with the image detection device; The method for repairing the deformation detection image distortion of the longitudinal submerged arc welded pipe steel plate by compression molding comprises the following steps: S1, establishing a longitudinal submerged arc welded pipe steel plate compression molding model database; s2, monitoring, collecting and analyzing the molding parameters in real time; S3, calculating steel plate pressing deformation characteristic data; s4, predicting and guiding the rolling reduction of the forming die.
2. A repair method according to claim 1, characterized in that: in the step S1, the data in the model database comprise pipe diameter specification parameters, steel plate parameters, forming process parameters, working pass parameters and pre-bending edge parameters.
3. A repair method according to claim 2, characterized in that: In the step S2, original data of spliced images of a pressed region of the steel plate are collected, characteristic of single-step pressed section curves is identified and detected, the collected data are transmitted to an application server provided with application software, the application server analyzes and processes the data, data of each pressed pass are integrated, and the pressed parameters of subsequent passes are predicted.
4. A repair method according to claim 3, characterized in that: The data collected in the step S2 comprises a curve after pressing and a forming angle.
5. The repair method according to claim 4, wherein: In the step S3, the image detection device automatically detects actual deformation of the steel plate after each pass of pressing in the forming process, including the shape of the steel plate in the pressing area of the previous pass, and the application software analyzes and calculates the received detection data; and (3) carrying out Gaussian filtering on image distortion data caused by factors such as steel plate jumping, electrical interference, signal mutation and the like in the forming process, judging gray values by a dynamic gray value method, carrying out bad value elimination, supplementing the eliminated data according to normal difference values, average values, forming characteristics and image characteristics, and storing corrected data into a background database.
6. The repair method according to claim 5, characterized in that: In step S3, the automatically detected steel plate morphology data of the previous pressed region includes x and y coordinate values of n points, X i is the number x 1 、x 2 、……x n , Y i is y 1 、y 2 、……y n ; The fitted straight line is as follows, y i ＝k x i +b (1) Wherein: x i -the abscissa value of the point on the curve after pressing is measured, Y i -the ordinate value of the point on the curve after pressing is measured, B-intercept of straight line on y-axis, K-slope; Wherein: the average value of the abscissa value x of the curve is measured once per press, -An average value of the ordinate values y of the curve is measured per press; Regression coefficient r: calculating a forming angle alpha: After the straight lines of the pressing area and the non-pressing area are picked up, calculating the slope k of the two straight lines, wherein the forming angle is an acute angle alpha formed by the two straight lines: α=|tan -1 k 1 -tan -1 k 2 | (4) in the formula, k 1 is the slope of the pick-up straight line 1, K 2 —pick up line 2 slope.
7. The repair method according to claim 6, wherein: in the step S4, parameters of the steel pipe are input into application software, wherein the parameters comprise pipe diameter, material, thickness, length and width of a plate, total pressing channel times, relation coefficients of forming angles and rolling reduction, and the application software predicts and guides the pressing process.
8. The repair method according to claim 7, characterized in that: The prediction guiding method for the pressing process is as follows, When the pass H is less than or equal to 17 times, When the pass H i is 1,2, 9, 10 and 17, the database data is called, and the rolling reduction predicted value is output; When the pass H i is 3 and 11, calculating the predicted value of the pressing quantity by adopting a formula (5), H i+1 ＝h i+1 +k(α i -A i ) (5) When the pass H i is 4-8 and 12-16, calculating the predicted value of the pressing quantity by adopting a formula (6), H i+1 ＝h i+1 +k(α i -A i )+H i -h i (6) Wherein: H i+1 , the pass prediction reduction, mm; H i , the actual rolling reduction of the previous time, mm; h i+1 , the theoretical reduction of the pass, and mm; h i , the theoretical depression of the last time, mm; k-the slope of the slope, Alpha i , the actual forming angle of the last time, and the degree; A i -theoretical forming angle, degree in last time.

Description

Image distortion restoration method for longitudinal submerged arc welded pipe steel plate compression forming deformation detection Technical Field The invention relates to compression molding of a longitudinal submerged arc welded pipe steel plate, in particular to a method for repairing image distortion in compression molding deformation detection of the longitudinal submerged arc welded pipe steel plate, and belongs to the technical field of longitudinal submerged arc welded pipe welding. Background For high-steel-grade thick-wall submerged-arc welded pipes, the circumference of each steel pipe is accurate, the roundness is good, the on-site assembly stress can be effectively controlled, and the full-automatic welding requirement is met. Providing basic support for ensuring the quality of the girth weld, and ensuring the consistency and roundness of the circumference of the pipe end, especially the roundness of the pipe end becomes the most important quality index. JCO forming is a key process for manufacturing large-caliber longitudinal submerged arc welded pipes, and basically determines out-of-roundness of each steel pipe by JCO forming precision, and at present, forming process parameters are determined based on theoretical calculation and artificial experience correction. Because the mechanical properties of the steel plates are identical in plate difference and plate-to-plate difference, the steel plates are pressed by adopting the same forming parameters, the deformation of the steel plates is not identical, the forming equipment does not have the function of detecting the deformation of the steel plates on line, the actual deformation condition of the steel plates after each step of pressing cannot be known exactly, and the steel plates cannot be automatically adjusted according to the machining deviation in the continuous forming process of one steel pipe, so that the forming precision is ensured. In the production process, continuous observation and measurement by workers are needed, and the steel tube forming precision depends more on the consistency of the raw material performance and the experience of workers, so that the production efficiency of the JCOE production line is low, and the production efficiency cannot be fully and effectively exerted. Disclosure of Invention In order to overcome the defects in the JCO forming process of the existing large-caliber longitudinal submerged arc welded pipe manufacture, the invention provides a method for repairing deformation detection image distortion of a longitudinal submerged arc welded pipe steel plate through compression forming. The technical scheme includes that the image distortion repairing method for the longitudinal submerged arc welded pipe steel plate compression forming deformation detection comprises the steps that an image detecting device, a PC terminal, an application server and a background database of a steel plate compression deformation image online detecting system are sequentially connected, application software is installed in the application server, and communication connection is established between the PC terminal and the image detecting device. The method for repairing the deformation detection image distortion of the longitudinal submerged arc welded pipe steel plate by compression molding comprises the following steps: S1, establishing a longitudinal submerged arc welded pipe steel plate compression molding model database; s2, monitoring, collecting and analyzing the molding parameters in real time; S3, calculating steel plate pressing deformation characteristic data; s4, predicting and guiding the rolling reduction of the forming die. In the step S1, the data in the model database comprise pipe diameter specification parameters, steel plate parameters, forming process parameters, working pass parameters and pre-bending edge parameters. In the step S2, original data of spliced images of a pressed region of the steel plate are collected, characteristic of single-step pressed section curves is identified and detected, the collected data are transmitted to an application server provided with application software, the application server analyzes and processes the data, data of each pressed pass are integrated, and the pressed parameters of subsequent passes are predicted. The data collected in the step S2 comprises a curve after pressing and a forming angle. In the step S3, the image detection device automatically detects actual deformation of the steel plate after each pass of pressing in the forming process, including the shape of the steel plate in the pressing area of the previous pass, and the application software analyzes and calculates the received detection data; and (3) carrying out Gaussian filtering on image distortion data caused by factors such as steel plate jumping, electrical interference, signal mutation and the like in the forming process, judging gray values by a dynamic gray value method, carrying out