Cold pilger mill control system and method

Abstract

The invention discloses a cold pilger mill control system and method, and relates to the technical field of metal material machining, a workpiece monitoring module is used for collecting shape and stress related data of a pipe in real time, a first data set is generated, and a pipe deformation index Gcxb is calculated; the pressure adjusting module adjusts the rolling pressure in real time according to the Gcxb evaluation result, and uniform stress is ensured; the straightening control module records and adjusts the postures of the pipes, a second data set is generated, and the correction process is optimized; meanwhile, the wear analysis module extracts a rolling pressure factor Yzyl, a straightening factor Lzfx, the equipment wear degree Wxcd and the stress uniformity Slyx, and calculates an equipment wear state coefficient Wxzs and a deformation state coefficient Gxzs; and the energy consumption optimization module compares an energy consumption threshold value Yv with a deformation state coefficient Gzxs, generates an energy consumption evaluation report, automatically adjusts control parameters, reduces equipment wear, optimizes energy consumption and improves production efficiency.

Description

Technical Field

[0001] The invention relates to the technical field of metal material processing, in particular to a control system and method for a cold rolling tube mill. Background Art

[0002] The control system of cold rolling mill originated in the mid-20th century and has gradually evolved with the development of industrial automation. The original cold rolling mill mainly relied on manual operation and had limited control accuracy. With the advancement of computer technology and sensor technology, automatic control systems have been widely used to achieve precise control of parameters such as speed, pressure and temperature during the rolling process, thereby improving production efficiency and product quality. Modern cold rolling mill control systems also incorporate intelligent monitoring and feedback mechanisms to further optimize the rolling process.

[0003] However, the existing cold rolling mill control system works in a top-to-bottom manner, which brings the following technical disadvantages:

[0004] 1. Uneven deformation of the pipe: Due to the forced adjustment of the workpiece posture by the top straightening method, it is easy to cause uneven force on the pipe during the rolling process, resulting in bending, deflection or excessive ovality, affecting the final product accuracy and quality.

[0005] 2. Increased wear and equipment loss: The straightening method will cause the machine parts to bear greater concentrated stress, especially the rollers, brackets and transmission parts. Long-term use will easily increase the wear of these parts and increase the frequency of equipment maintenance and replacement.

[0006] 3. Low energy consumption and efficiency: Since a large force is required to achieve the straightening process, the system consumes a lot of energy. At the same time, adjusting the workpiece posture will increase the processing time and reduce production efficiency. Summary of the invention

[0007] In view of the deficiencies in the prior art, the present invention provides a control system and method for a cold rolling tube mill, which solves the technical problems of uneven tube deformation, increased wear and equipment loss, and low energy consumption and efficiency in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a control system for a cold rolling mill, including a workpiece monitoring module, a pressure adjustment module, a straightening control module, a wear analysis module and an energy consumption optimization module;

[0009] The workpiece monitoring module is used to monitor the data information of the pipe in the rolling process in real time, and generate a first data group, and then calculate and evaluate the pipe deformation index Gcxb, and identify the deformation of the pipe in the rolling process according to the evaluation content of the pipe deformation index Gcxb;

[0010] The pressure adjustment module is used to adjust the rolling pressure of the cold rolling mill in real time according to the deformation of the tube during the rolling process;

[0011] The straightening control module is used to adjust the posture of the pipe by straightening, and record relevant data in the straightening process in real time, and then generate a second data group, and form a rolling force data set by combining the first data group and the second data group;

[0012] The wear analysis module is used to extract features from the relevant data information in the rolling force data set, obtain the rolling pressure factor Yzyl, the tube straightening factor Lzfx, the equipment wear degree Wxcd and the tube force uniformity Slyx, and then further calculate the equipment wear state coefficient Wxzs and the tube wear deformation coefficient Gxzs. Finally, the equipment wear state coefficient Wxzs and the tube wear deformation coefficient Gxzs are associated to obtain the overall wear state coefficient Zgxs.

[0013] The energy consumption optimization module is used to preset the energy consumption threshold value Yv, compare and evaluate it with the overall wear state coefficient Zgxs, and generate an energy consumption efficiency evaluation report; according to the energy consumption efficiency evaluation report, the parameters when adjusting the pipe posture are automatically adjusted to optimize energy consumption and efficiency.

[0014] Preferably, the workpiece monitoring module includes a pipe data acquisition unit and a pipe deformation assessment unit;

[0015] The data information of the pipe collected by the pipe data collection unit includes shape-related data and stress state-related data. The shape-related data is collected by a laser measuring device, and the stress state-related data is collected by a stress sensor. After the shape-related data and the stress state-related data are preprocessed and dimensionlessly processed, a first data group is generated.

[0016] Preferably, the tube deformation evaluation unit extracts the cross-sectional deviation coefficient Hpc, the wall thickness non-uniformity Hjy, the surface stress concentration coefficient Hbm and the rolling torque value Hgz in the first data group, and obtains the tube deformation index Gcxb by calculating the following formula:

[0017]

[0018] By presetting the first pipe deformation threshold Q1 and the second pipe deformation threshold Q2, and comparing and evaluating with the pipe deformation index Gcxb, and the first pipe deformation threshold Q1> the second pipe deformation threshold Q2, the following evaluation content is specifically generated:

[0019] When the tube deformation index Gcxb> the first tube deformation threshold Q1, it indicates that the tube is deformed during the rolling process and affects the quality of the tube. At this time, the first deformation result is generated;

[0020] When the first tube deformation threshold Q1≥tube deformation index Gcxb>second tube deformation threshold Q2, it indicates that the tube is deformed during the rolling process, but does not affect the quality of the tube, and the second deformation result is generated at this time;

[0021] When the second tube deformation threshold Q2 ≥ the tube deformation index Gcxb, it indicates that the parameters of the tube are normal during the rolling process and there is no deformation.

[0022] Preferably, the pressure adjustment module receives the first data group and the evaluation result of the tube deformation index Gcxb; and then adjusts the rolling pressure of the cold rolling mill in real time, specifically:

[0023] When the first deformation result is generated: generating a pressure adjustment instruction, including automatically adjusting the rolling pressure and pausing the rolling;

[0024] When the second deformation result is generated: a pressure fine-tuning instruction is generated, including adjusting the rolling pressure and optimizing the process.

[0025] Preferably, the straightening control module includes a posture adjustment recording unit and a data aggregation unit;

[0026] The posture adjustment recording unit is used to monitor and record the relevant data of the change of the posture of the pipe in the straightening process in real time; firstly, the shape-related data and the current straightening parameters in the first data group are extracted, and the pipe is gradually restored to the preset posture by adjusting the working state of the straightening device; secondly, the posture data of the pipe at different straightening stages are collected during the straightening process, including the axis offset value Zpy, the bending angle change value Zwq and the adjusted straightness Zxd of the pipe, and the axis offset value Zpy, the bending angle change value Zwq and the adjusted straightness Zxd of the pipe are integrated to construct the second data group;

[0027] The data aggregation unit is used to integrate the second data group generated by the posture adjustment recording unit with the first data group after preprocessing and dimensionless processing, and aggregate them into a rolling force data set through a data fusion algorithm;

[0028] The rolling force data set includes data related to the state change of the pipe before and after straightening, data related to the mechanical performance before and after pressure adjustment, and comprehensive data of the entire straightening process.

[0029] Preferably, the wear analysis module includes a first calculation unit, a second calculation unit and a third calculation unit:

[0030] The first calculation unit extracts the rolling force data set and calculates the rolling pressure factor Yzyl, the tube straightening factor Lzfx, the equipment wear degree Wxcd and the tube force uniformity Slyx respectively by the following formulas:

[0031]

[0032]

[0033] Wherein, Zsl represents the real-time rolling force in the rolling force data set, Zsd represents the rolling speed in the rolling force data set, Zwy represents the displacement within a fixed period in the rolling force data set, and Zwd represents the rolling temperature in the rolling force data set;

[0034] Lwm represents the surface wear of the rolling wheel in the rolling force data set, Gjbl represents the change in the roll spacing in the rolling force data set, Ssc represents the cumulative use time of the rolling equipment in the rolling force data set, and Zdfd represents the vibration amplitude of the equipment in the rolling force data set;

[0035] Ymfb represents the surface stress distribution of the tube in the rolling force data set, Ydbd represents the stress fluctuation of the tube stress point in the rolling force data set, and Hdp represents the thickness deviation of the tube in the rolling force data set.

[0036] Preferably, the second calculation unit obtains the equipment wear state coefficient Wxzs by fitting the rolling pressure factor Yzyl and the equipment wear degree Wxcd, and obtains the pipe wear deformation coefficient Gxzs by fitting the pipe straightening factor Lzfx and the pipe force uniformity Slyx. The specific calculation formula is as follows:

[0037]

[0038] Preferably, the third calculation unit is used to calculate and obtain the overall wear state coefficient Zgxs by the following formula:

[0039]

[0040] Preferably, the energy consumption optimization module is used to preset the energy consumption threshold value Yv, and compare and evaluate it with the overall wear state coefficient Gzxs to generate an energy consumption efficiency evaluation report, wherein the specific evaluation contents are as follows:

[0041] When the overall wear state coefficient Gzxs>energy consumption threshold Yv, the first energy consumption level is generated, indicating that the energy consumption efficiency of the current cold rolling mill is abnormal. The system will automatically adjust the parameters when the tube posture is adjusted, and adjust the energy consumption and efficiency, including adjusting the straightening force and pressure consumption;

[0042] When the overall wear state coefficient Gzxs ≤ energy consumption threshold Yv, the second energy consumption level is generated, indicating that the current energy consumption efficiency is normal. At this time, the system will maintain the parameters when adjusting the current pipe posture and continuously monitor the rolling state to ensure that the energy consumption is within the normal range.

[0043] A control method for a cold rolling mill comprises the following steps:

[0044] Step 1: real-time monitoring of the data information of the pipe during the rolling process, and generating a first data group, and then calculating and evaluating the pipe deformation index Gcxb, and identifying the deformation of the pipe during the rolling process according to the evaluation content of the pipe deformation index Gcxb;

[0045] Step 2: According to the deformation of the tube during the rolling process, the rolling pressure of the cold rolling mill is adjusted in real time;

[0046] Step 3: adjusting the posture of the pipe by straightening, and recording relevant data in the straightening process in real time, and then generating a second data set, and forming a rolling force data set by combining the first data set and the second data set;

[0047] Step 4: extract features from the relevant data information in the rolling force data set, obtain the rolling pressure factor Yzyl, the tube straightening factor Lzfx, the equipment wear degree Wxcd and the tube force uniformity Slyx, and then further calculate the equipment wear state coefficient Wxzs and the tube wear deformation coefficient Gxzs. Finally, associate the equipment wear state coefficient Wxzs with the tube wear deformation coefficient Gxzs to obtain the overall wear state coefficient Zgxs.

[0048] Step 5. Compare and evaluate the preset energy consumption threshold value Yv with the overall wear state coefficient Zgxs, and generate an energy consumption efficiency evaluation report; according to the energy consumption efficiency evaluation report, automatically adjust the parameters when adjusting the pipe posture to optimize energy consumption and efficiency.

[0049] The present invention provides a control system and method for a cold rolling mill, which has the following beneficial effects:

[0050] (1) This kind of cold rolling mill control system and method solves the problem of uneven deformation of pipes during the cold rolling process by combining a workpiece monitoring module, a pressure adjustment module and a straightening control module. The workpiece monitoring module monitors the shape data and stress state data of the pipe in real time, generates a first data group and calculates the pipe deformation index Gcxb; the pressure adjustment module adjusts the cold rolling pressure in real time according to the evaluation result of the pipe deformation index Gcxb to ensure that the pipe is uniformly stressed during the rolling process; the straightening control module adjusts the posture of the pipe by straightening, records relevant data and generates a second data group, and generates a rolling force data set in combination with the first data group, thereby optimizing the posture correction and deformation control of the pipe.

[0051] (2) This cold rolling mill control system and method effectively solves the problems of equipment wear and low energy efficiency through the combination of wear analysis module and energy consumption optimization module. The wear analysis module extracts key parameters from the rolling force data set, such as rolling pressure factor Yzyl, tube straightening factor Lzfx, equipment wear degree Wxcd and tube force uniformity Slyx, and obtains the equipment wear state coefficient Wxzs and tube wear deformation coefficient Gxzs through calculation; the energy consumption optimization module presets the energy consumption threshold value Yv and compares and evaluates it with the overall wear state coefficient Gzxs, generates an energy consumption efficiency evaluation report, and automatically adjusts the parameters when adjusting the tube posture, thereby reducing equipment wear and improving production efficiency.

[0052] (3) This cold rolling mill control system and method dynamically monitors and adjusts various parameters during the cold rolling process to ensure stable tube rolling quality while reducing losses and energy consumption caused by equipment wear. By optimizing the pressure adjustment and posture control during the straightening process, the overall energy efficiency of the cold rolling mill is improved, solving the common energy consumption and inefficiency problems in the tube processing process and improving the overall operating efficiency of the production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic diagram of the framework structure of a control system of a cold rolling mill of the present invention;

[0054] Figure 2 The present invention is a schematic flow chart of the steps of a cold rolling mill control method. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in 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.

[0056] Example 1

[0057] See also Figure 1 , the present invention provides a control system for a cold rolling mill, including a workpiece monitoring module, a pressure adjustment module, a straightening control module, a wear analysis module and an energy consumption optimization module;

[0058] The workpiece monitoring module is used to monitor the data information of the pipe in the rolling process in real time and generate a first data group, then calculate and evaluate the pipe deformation index Gcxb, and identify the deformation of the pipe in the rolling process according to the evaluation content of the pipe deformation index Gcxb;

[0059] The pressure adjustment module is used to adjust the rolling pressure of the cold rolling mill in real time according to the deformation of the pipe during the rolling process;

[0060] The straightening control module is used to adjust the posture of the pipe by straightening, and record the relevant data in the straightening process in real time, and then generate a second data group, and form a rolling force data set by combining the first data group and the second data group;

[0061] The wear analysis module is used to extract features from relevant data information in the rolling force data set, obtain the rolling pressure factor Yzyl, the tube straightening factor Lzfx, the equipment wear degree Wxcd and the tube force uniformity Slyx, and then further calculate the equipment wear state coefficient Wxzs and the tube wear deformation coefficient Gxzs. Finally, the equipment wear state coefficient Wxzs and the tube wear deformation coefficient Gxzs are associated to obtain the overall wear state coefficient Zgxs.

[0062] The energy consumption optimization module is used to preset the energy consumption threshold value Yv, compare and evaluate it with the overall wear state coefficient Zgxs, and generate an energy consumption efficiency evaluation report; according to the energy consumption efficiency evaluation report, the parameters for adjusting the pipe posture are automatically adjusted to optimize energy consumption and efficiency.

[0063] In this embodiment, the workpiece monitoring module generates a first data set and calculates the tube deformation index Gcxb by real-time monitoring of the tube shape data and stress state data, so as to accurately identify the deformation during the rolling process and effectively improve the monitoring accuracy of the tube quality; the pressure adjustment module adjusts the rolling pressure in real time according to the evaluation result of the tube deformation index Gcxb to ensure that the tube is rolled under uniform stress conditions, reduce deformation, and ensure product consistency; the straightening control module generates a second data set by real-time recording and adjusting the tube posture and summarizes it into a rolling force data set, so as to optimize the straightening effect of the tube and Improve process stability; the wear analysis module extracts the rolling pressure factor Yzyl, the pipe straightening factor Lzfx, the equipment wear degree Wxcd and the pipe force uniformity Slyx, calculates the equipment wear state coefficient Wxzs and the pipe wear deformation coefficient Gxzs, and further evaluates the comprehensive state of the equipment and workpiece, reduces equipment wear and increases service life; the energy consumption optimization module generates an energy consumption efficiency evaluation report through a comparative analysis of the overall wear state coefficient Zgxs and the energy consumption threshold Yv, automatically adjusts the parameters when adjusting the pipe posture, optimizes energy consumption and efficiency, and improves the energy efficiency performance of the system.

[0064] Example 2

[0065] The workpiece monitoring module includes a pipe data acquisition unit and a pipe deformation assessment unit;

[0066] The data information of the pipe collected by the pipe data collection unit includes shape-related data and stress state-related data. The shape-related data is collected by laser measuring equipment, and the stress state-related data is collected by stress sensors. After the shape-related data and the stress state-related data are preprocessed and dimensionlessly processed, a first data group is generated.

[0067] The pipe deformation evaluation unit extracts the cross-sectional deviation coefficient Hpc, the wall thickness non-uniformity Hjy, the surface stress concentration coefficient Hbm and the rolling torque value Hgz in the first data group, and obtains the pipe deformation index Gcxb by the following formula:

[0068]

[0069] By presetting the first pipe deformation threshold Q1 and the second pipe deformation threshold Q2, and comparing and evaluating with the pipe deformation index Gcxb, and the first pipe deformation threshold Q1> the second pipe deformation threshold Q2, the following evaluation content is specifically generated:

[0070] When the tube deformation index Gcxb> the first tube deformation threshold Q1, it indicates that the tube is deformed during the rolling process and affects the quality of the tube. At this time, the first deformation result is generated;

[0071] When the first tube deformation threshold Q1≥tube deformation index Gcxb>second tube deformation threshold Q2, it indicates that the tube is deformed during the rolling process, but does not affect the quality of the tube, and the second deformation result is generated at this time;

[0072] When the second tube deformation threshold Q2 ≥ the tube deformation index Gcxb, it indicates that the parameters of the tube are normal during the rolling process and there is no deformation.

[0073] In this embodiment, the shape and stress state of the pipe during the rolling process can be accurately monitored through the pipe data acquisition unit and the pipe deformation evaluation unit in the workpiece monitoring module. The shape-related data are obtained through the laser measuring device, and the stress state-related data are collected through the stress sensor; these data are pre-processed and dimensionless processed to generate a first data group; the pipe deformation evaluation unit extracts the cross-sectional deviation coefficient Hpc, the wall thickness unevenness Hjy, the surface stress concentration coefficient Hbm and the rolling torque value Hgz, and calculates the pipe deformation index Gcxb through the formula. The collection of these parameters can fully reflect the deformation and stress changes that may occur in the pipe during the rolling process. By comparing the preset first tube deformation threshold Q1 and the second tube deformation threshold Q2 with the tube deformation index Gcxb, the system can accurately evaluate whether the deformation will affect the quality; when the tube deformation index Gcxb exceeds the first threshold Q1, a first deformation result is generated, indicating that the deformation affects the tube quality; when the tube deformation index Gcxb is between the first tube deformation threshold Q1 and the second tube deformation threshold Q2, a second deformation result is generated, indicating that the deformation exists but does not affect the quality; when Gcxb is less than or equal to the second threshold Q2, it indicates that the tube is normal; through this comprehensive monitoring and evaluation mechanism, the stability and accuracy of the tube rolling quality can be effectively guaranteed.

[0074] Example 3

[0075] The pressure adjustment module receives the first data group and the evaluation result of the tube deformation index Gcxb; then adjusts the rolling pressure of the cold rolling mill in real time, specifically:

[0076] When the first deformation result is generated: generating a pressure adjustment instruction, including automatically adjusting the rolling pressure and pausing the rolling;

[0077] When the second deformation result is generated: a pressure fine-tuning instruction is generated, including adjusting the rolling pressure and optimizing the process.

[0078] In this embodiment, by receiving the evaluation results of the first data group and the pipe deformation index Gcxb, the real-time adjustment of the pressure of the cold rolling tube mill can be achieved. When the first deformation result is generated, the system will immediately generate a pressure adjustment instruction, including automatically adjusting the rolling pressure and suspending rolling, so as to avoid affecting the quality of the pipe due to excessive deformation. When the second deformation result is generated, the system will generate a pressure fine-tuning instruction, adjust the rolling pressure appropriately and optimize the process to ensure that slight deformation does not affect production. This real-time adjustment mechanism ensures that the pipe is always in the best stress state during the cold rolling process. It can not only effectively prevent pipe quality problems, but also improve production efficiency and avoid excessive shutdown adjustments. Therefore, the pressure adjustment module greatly improves the automation and intelligence level of the cold rolling tube mill, ensuring the stability of the rolling process and product quality.

[0079] Example 4

[0080] The straightening control module includes a posture adjustment recording unit and a data summary unit;

[0081] The posture adjustment recording unit is used to monitor and record the relevant data of the change of the pipe posture during the straightening process in real time; firstly, the shape-related data and the current straightening parameters in the first data group are extracted, and the pipe is gradually restored to the preset posture by adjusting the working state of the straightening device; secondly, the posture data of the pipe at different straightening stages are collected during the straightening process, including the axis offset value Zpy, the bending angle change value Zwq and the adjusted straightness Zxd of the pipe, and the axis offset value Zpy, the bending angle change value Zwq and the adjusted straightness Zxd of the pipe are integrated to construct the second data group;

[0082] The data aggregation unit is used to integrate the second data group generated by the posture adjustment recording unit with the first data group after preprocessing and dimensionless processing, and aggregate them into a rolling force data set through a data fusion algorithm;

[0083] The rolling force data set includes data related to the state change of the tube before and after straightening, data related to the mechanical performance before and after pressure adjustment, and comprehensive data of the entire straightening process.

[0084] In this embodiment, precise control and data integration of the pipe posture are achieved through the synergistic effect of the posture adjustment recording unit and the data aggregation unit; the posture adjustment recording unit can monitor the posture changes of the pipe in the straightening process in real time, including the axis offset value Zpy, the bending angle change value Zwq and the adjusted straightness Zxd of the pipe; by extracting the shape-related data and the current straightening parameters in the first data group, the working state of the straightening device is dynamically adjusted to gradually restore the pipe to the preset posture; the data aggregation unit pre-processes and dimensionlessly processes the collected second data group and the first data group, and generates a rolling force data set through a data fusion algorithm; the rolling force data set comprehensively records the state changes of the pipe before and after straightening, the mechanical performance before and after pressure adjustment, and the comprehensive data of the entire straightening process; this precise data acquisition and integration mechanism not only ensures the adjustment effect of the pipe posture, but also provides key data support for subsequent pressure adjustment and wear analysis, greatly improving the intelligence and control accuracy of the system.

[0085] Example 5

[0086] The wear analysis module includes a first calculation unit, a second calculation unit and a third calculation unit:

[0087] The first calculation unit extracts the rolling force data set and calculates the rolling pressure factor Yzyl, the tube straightening factor Lzfx, the equipment wear degree Wxcd and the tube force uniformity Slyx by the following formulas:

[0088]

[0089] Wherein, Zsl represents the real-time rolling force in the rolling force data set, Zsd represents the rolling speed in the rolling force data set, Zwy represents the displacement within a fixed period in the rolling force data set, and Zwd represents the rolling temperature in the rolling force data set;

[0090] Lwm represents the surface wear of the rolling wheel in the rolling force data set, Gjbl represents the change in the roll spacing in the rolling force data set, Ssc represents the cumulative use time of the rolling equipment in the rolling force data set, and Zdfd represents the vibration amplitude of the equipment in the rolling force data set;

[0091] Ymfb represents the surface stress distribution of the tube in the rolling force data set, Ydbd represents the stress fluctuation of the tube stress point in the rolling force data set, and Hdp represents the thickness deviation of the tube in the rolling force data set.

[0092] The second calculation unit obtains the equipment wear state coefficient Wxzs by fitting the rolling pressure factor Yzyl and the equipment wear degree Wxcd, and obtains the pipe wear deformation coefficient Gxzs by fitting the pipe straightening factor Lzfx and the pipe force uniformity Slyx. The specific calculation formula is as follows:

[0093]

[0094] The third calculation unit is used to calculate and obtain the overall wear state coefficient Zgxs through the following formula:

[0095]

[0096] In this embodiment, the wear analysis module can accurately evaluate the operating status of the equipment and the deformation of the pipe through the first calculation unit, the second calculation unit and the third calculation unit. The first calculation unit extracts the key parameters in the rolling force data set, including the real-time rolling force Zsl, the rolling speed Zsd, the displacement Zwy within a fixed period and the rolling temperature Zwd, which are used to calculate the rolling pressure factor Yzyl to reflect the mechanical state during the rolling process; by extracting the surface wear of the rolling wheel Lwm, the change in the roller spacing Gjbl, the cumulative use time of the equipment Ssc and the vibration amplitude of the equipment operation Zdfd, the wear degree of the equipment Wxcd is calculated to evaluate the wear state of the equipment; the surface stress distribution Ymf of the pipe is extracted b. The stress fluctuation Ydbd at the stress point and the pipe thickness deviation Hdp are used to calculate the force uniformity Slyx of the pipe, which reflects the uniformity of the force on the pipe during the rolling process; the second calculation unit fits the rolling pressure factor Yzyl and the equipment wear degree Wxcd to calculate the equipment wear state coefficient Wxzs; the pipe straightening factor Lzfx and the pipe force uniformity Slyx are fit to calculate the pipe wear deformation coefficient Gxzs; the third calculation unit calculates the overall wear state coefficient Zgxs through the equipment wear state coefficient Wxzs and the pipe wear deformation coefficient Gxzs; through detailed parameter collection and calculation, the status of the equipment and pipes can be accurately evaluated, thereby optimizing the production process and extending the equipment life.

[0097] Example 6

[0098] The energy consumption optimization module is used to preset the energy consumption threshold value Yv and compare and evaluate it with the overall wear state coefficient Gzxs to generate an energy consumption efficiency evaluation report. The specific evaluation contents are as follows:

[0099] When the overall wear state coefficient Gzxs>energy consumption threshold Yv, the first energy consumption level is generated, indicating that the energy consumption efficiency of the current cold rolling mill is abnormal. The system will automatically adjust the parameters when the tube posture is adjusted, and adjust the energy consumption and efficiency, including adjusting the straightening force and pressure consumption;

[0100] When the overall wear state coefficient Gzxs ≤ energy consumption threshold Yv, the second energy consumption level is generated, indicating that the current energy consumption efficiency is normal. At this time, the system will maintain the parameters when adjusting the current pipe posture and continuously monitor the rolling state to ensure that the energy consumption is within the normal range.

[0101] In this embodiment, by presetting the energy consumption threshold value Yv and comparing and evaluating it with the overall wear state coefficient Gzxs, the energy consumption efficiency of the cold rolling mill can be effectively optimized; when the overall wear state coefficient Gzxs is greater than the energy consumption threshold value Yv, the system generates a first energy consumption level, indicating that the energy consumption efficiency is abnormal, and automatically adjusts the parameters during adjustment of the pipe posture, including adjusting the straightening force and pressure consumption, to reduce energy consumption and improve efficiency; when the overall wear state coefficient Gzxs is less than or equal to the energy consumption threshold value Yv, the system generates a second energy consumption level, indicating that the energy consumption efficiency is normal, maintains the stability of the current straightening control parameters, and continuously monitors the rolling state; through this energy consumption optimization mechanism, the system can effectively reduce unnecessary energy consumption, ensure the economy and efficiency of the production process, and optimize the overall operation of the cold rolling mill.

[0102] Example 7

[0103] See also Figure 2 , a cold rolling mill control method, comprising the following steps:

[0104] Step 1: real-time monitoring of the data information of the pipe during the rolling process, and generating a first data group, and then calculating and evaluating the pipe deformation index Gcxb, and identifying the deformation of the pipe during the rolling process according to the evaluation content of the pipe deformation index Gcxb;

[0105] Step 2: According to the deformation of the tube during the rolling process, the rolling pressure of the cold rolling mill is adjusted in real time;

[0106] Step 3: Adjust the posture of the pipe by straightening, and record the relevant data in the straightening process in real time, then generate a second data set, and form a rolling force data set by combining the first data set and the second data set;

[0107] Step 4: Extract features from relevant data information in the rolling force data set, obtain the rolling pressure factor Yzyl, the tube straightening factor Lzfx, the equipment wear degree Wxcd, and the tube force uniformity Slyx, and then further calculate the equipment wear state coefficient Wxzs and the tube wear deformation coefficient Gxzs. Finally, associate the equipment wear state coefficient Wxzs with the tube wear deformation coefficient Gxzs to obtain the overall wear state coefficient Zgxs.

[0108] Step 5. Compare and evaluate the preset energy consumption threshold value Yv with the overall wear state coefficient Zgxs, and generate an energy consumption efficiency evaluation report; according to the energy consumption efficiency evaluation report, automatically adjust the parameters when adjusting the pipe posture to optimize energy consumption and efficiency.

[0109] In this embodiment, the comprehensive optimization of the cold rolling process is achieved through five steps: step 1 generates a first data set and calculates the deformation index Gcxb of the pipe by real-time monitoring of the shape and stress state data of the pipe, which can accurately identify the deformation of the pipe and improve the accuracy of rolling quality monitoring; step 2 adjusts the rolling pressure in real time according to the deformation to ensure that the pipe is evenly stressed and reduce quality problems; step 3 adjusts the posture of the pipe in real time through straightening control, generates a second data set and summarizes it to form a rolling force data set to ensure that the posture of the pipe is stable throughout the rolling process; step 4 adjusts the rolling pressure in real time according to the deformation to ensure that the pipe is evenly stressed and reduce quality problems; step 3 adjusts the posture of the pipe in real time through straightening control to generate a second data set and summarize it to form a rolling force data set to ensure that the posture of the pipe is stable throughout the rolling process; step 4 The force data set is used for feature extraction to obtain the rolling pressure factor Yzyl, the tube straightening factor Lzfx, the equipment wear degree Wxcd and the tube force uniformity Slyx, and the equipment wear state coefficient Wxzs and the tube wear deformation coefficient Gxzs are further calculated, which can comprehensively evaluate the status of the equipment and tubes and improve the monitoring and adjustment capabilities of the system; Step five generates an energy efficiency evaluation report by comparing the energy consumption threshold Yv with the overall wear state coefficient Zgxs, automatically adjusts the straightening control parameters, optimizes energy consumption and efficiency, and ensures that the system operates efficiently under low energy consumption.

[0110] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A control system for a cold rolling mill, characterized in that: It includes workpiece monitoring module, pressure adjustment module, straightening control module, wear analysis module and energy consumption optimization module; The workpiece monitoring module is used to monitor the data information of the pipe in the rolling process in real time, and generate a first data group, and then calculate and evaluate the pipe deformation index Gcxb, and identify the deformation of the pipe in the rolling process according to the evaluation content of the pipe deformation index Gcxb; The pressure adjustment module is used to adjust the rolling pressure of the cold rolling mill in real time according to the deformation of the tube during the rolling process; The straightening control module is used to adjust the posture of the pipe by straightening, and record relevant data in the straightening process in real time, and then generate a second data group, and form a rolling force data set by combining the first data group and the second data group; The wear analysis module is used to extract features from the relevant data information in the rolling force data set, obtain the rolling pressure factor Yzyl, the tube straightening factor Lzfx, the equipment wear degree Wxcd and the tube force uniformity Slyx, and then further calculate the equipment wear state coefficient Wxzs and the tube wear deformation coefficient Gxzs. Finally, the equipment wear state coefficient Wxzs and the tube wear deformation coefficient Gxzs are associated to obtain the overall wear state coefficient Zgxs. The energy consumption optimization module is used to preset the energy consumption threshold value Yv, compare and evaluate it with the overall wear state coefficient Zgxs, and generate an energy consumption efficiency evaluation report; according to the energy consumption efficiency evaluation report, the parameters when adjusting the pipe posture are automatically adjusted to optimize energy consumption and efficiency.

2. The cold rolling mill control system according to claim 1, characterized in that: The workpiece monitoring module includes a pipe data acquisition unit and a pipe deformation assessment unit; The data information of the pipe collected by the pipe data collection unit includes shape-related data and stress state-related data. The shape-related data is collected by a laser measuring device, and the stress state-related data is collected by a stress sensor. After the shape-related data and the stress state-related data are preprocessed and dimensionlessly processed, a first data group is generated.

3. The cold rolling mill control system according to claim 2, characterized in that: The pipe deformation evaluation unit extracts the cross-sectional deviation coefficient Hpc, the wall thickness non-uniformity Hjy, the surface stress concentration coefficient Hbm and the rolling torque value Hgz in the first data group, and obtains the pipe deformation index Gcxb by calculating the following formula: By presetting the first pipe deformation threshold Q1 and the second pipe deformation threshold Q2, and comparing and evaluating with the pipe deformation index Gcxb, and the first pipe deformation threshold Q1> the second pipe deformation threshold Q2, the following evaluation content is specifically generated: When the tube deformation index Gcxb> the first tube deformation threshold Q1, it indicates that the tube is deformed during the rolling process and affects the quality of the tube. At this time, the first deformation result is generated; When the first tube deformation threshold Q1≥tube deformation index Gcxb>second tube deformation threshold Q2, it indicates that the tube is deformed during the rolling process, but does not affect the quality of the tube, and the second deformation result is generated at this time; When the second tube deformation threshold Q2 ≥ the tube deformation index Gcxb, it indicates that the parameters of the tube are normal during the rolling process and there is no deformation.

4. The cold rolling mill control system according to claim 3, characterized in that: The pressure adjustment module receives the first data group and the evaluation result of the tube deformation index Gcxb; then adjusts the rolling pressure of the cold rolling mill in real time, specifically: When the first deformation result is generated: generating a pressure adjustment instruction, including automatically adjusting the rolling pressure and pausing the rolling; When the second deformation result is generated: a pressure fine-tuning instruction is generated, including adjusting the rolling pressure and optimizing the process.

5. The cold rolling mill control system according to claim 1, characterized in that: The straightening control module includes a posture adjustment recording unit and a data aggregation unit; The posture adjustment recording unit is used to monitor and record the relevant data of the change of the pipe posture during the straightening process in real time; firstly, the shape-related data and the current straightening parameters in the first data group are extracted, and the pipe is gradually restored to the preset posture by adjusting the working state of the straightening device; Secondly, during the straightening process, the posture data of the pipe at different straightening stages are collected, including the axis offset value Zpy, the bending angle change value Zwq and the adjusted straightness Zxd of the pipe, and the axis offset value Zpy, the bending angle change value Zwq and the adjusted straightness Zxd of the pipe are integrated to construct a second data set; The data aggregation unit is used to integrate the second data group generated by the posture adjustment recording unit with the first data group after preprocessing and dimensionless processing, and aggregate them into a rolling force data set through a data fusion algorithm; The rolling force data set includes data related to the state change of the pipe before and after straightening, data related to the mechanical performance before and after pressure adjustment, and comprehensive data of the entire straightening process.

6. The cold rolling mill control system according to claim 5, characterized in that: The wear analysis module includes a first calculation unit, a second calculation unit and a third calculation unit: The first calculation unit extracts the rolling force data set and calculates the rolling pressure factor Yzyl, the tube straightening factor Lzfx, the equipment wear degree Wxcd and the tube force uniformity Slyx respectively by the following formulas: Wherein, Zsl represents the real-time rolling force in the rolling force data set, Zsd represents the rolling speed in the rolling force data set, Zwy represents the displacement within a fixed period in the rolling force data set, and Zwd represents the rolling temperature in the rolling force data set; Lwm represents the surface wear of the rolling wheel in the rolling force data set, Gjbl represents the change in the roll spacing in the rolling force data set, Ssc represents the cumulative use time of the rolling equipment in the rolling force data set, and Zdfd represents the vibration amplitude of the equipment in the rolling force data set; Ymfb represents the surface stress distribution of the tube in the rolling force data set, Ydbd represents the stress fluctuation of the tube stress point in the rolling force data set, and Hdp represents the thickness deviation of the tube in the rolling force data set.

7. The cold rolling mill control system according to claim 6, characterized in that: The second calculation unit obtains the equipment wear state coefficient Wxzs by fitting the rolling pressure factor Yzyl and the equipment wear degree Wxcd, and obtains the pipe wear deformation coefficient Gxzs by fitting the pipe straightening factor Lzfx and the pipe force uniformity Slyx. The specific calculation formula is as follows:

8. The cold rolling mill control system according to claim 7, characterized in that: The third calculation unit is used to calculate and obtain the overall wear state coefficient Zgxs by the following formula:

9. The cold rolling mill control system according to claim 1, characterized in that: The energy consumption optimization module is used to preset the energy consumption threshold value Yv, and compare and evaluate it with the overall wear state coefficient Gzxs to generate an energy consumption efficiency evaluation report, wherein the specific evaluation contents are as follows: When the overall wear state coefficient Gzxs>energy consumption threshold Yv, the first energy consumption level is generated, indicating that the energy consumption efficiency of the current cold rolling mill is abnormal. The system will automatically adjust the parameters when the tube posture is adjusted, and adjust the energy consumption and efficiency, including adjusting the straightening force and pressure consumption; When the overall wear state coefficient Gzxs ≤ energy consumption threshold Yv, the second energy consumption level is generated, indicating that the current energy consumption efficiency is normal. At this time, the system will maintain the parameters when adjusting the current pipe posture and continuously monitor the rolling state to ensure that the energy consumption is within the normal range.

10. A control method for a cold rolling mill, applied to the control system of the cold rolling mill according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: real-time monitoring of the data information of the pipe during the rolling process, and generating a first data group, and then calculating and evaluating the pipe deformation index Gcxb, and identifying the deformation of the pipe during the rolling process according to the evaluation content of the pipe deformation index Gcxb; Step 2: According to the deformation of the tube during the rolling process, the rolling pressure of the cold rolling mill is adjusted in real time; Step 3: adjusting the posture of the pipe by straightening, and recording relevant data in the straightening process in real time, and then generating a second data set, and forming a rolling force data set by combining the first data set and the second data set; Step 4: extract features from the relevant data information in the rolling force data set, obtain the rolling pressure factor Yzyl, the tube straightening factor Lzfx, the equipment wear degree Wxcd and the tube force uniformity Slyx, and then further calculate the equipment wear state coefficient Wxzs and the tube wear deformation coefficient Gxzs. Finally, associate the equipment wear state coefficient Wxzs with the tube wear deformation coefficient Gxzs to obtain the overall wear state coefficient Zgxs. Step 5. Compare and evaluate the preset energy consumption threshold value Yv with the overall wear state coefficient Zgxs, and generate an energy consumption efficiency evaluation report; according to the energy consumption efficiency evaluation report, automatically adjust the parameters when adjusting the pipe posture to optimize energy consumption and efficiency.

Images