An on-line pipe cutting control system and method based on feedback analysis

Abstract

The present invention discloses an on-line cutting control system and method for pipes based on feedback analysis, belonging to the field of general control systems. The present invention imports the obtained section data during the pipe cutting process into a section abnormality evaluation model for section abnormality evaluation, and imports the obtained operation data of the laser cutting equipment into a laser cutting abnormality evaluation model for laser cutting abnormality evaluation. The cutting speed is estimated by importing the section abnormality evaluation result and the laser cutting abnormality evaluation result into a cutting speed evaluation strategy. The control module controls in real time according to the estimated cutting speed. By monitoring in real time the section data during the pipe cutting process and the operation data of the laser cutting equipment during the pipe cutting process, and conducting comprehensive analysis, the laser cutting speed for the next cycle is accurately calculated, improving the cutting efficiency while ensuring the cutting quality.

Description

Technical Field

[0001] The present invention belongs to the field of general control systems, and more specifically, it is an on-line pipe cutting control system and method based on feedback analysis. Background Art

[0002] On-line pipe cutting control based on feedback analysis is a system that uses the principle of feedback control to monitor and adjust the pipe cutting process in real time. The main purpose of this system is to ensure the accuracy and efficiency of cutting and improve the quality of pipe processing. Through real-time monitoring and intelligent adjustment, the on-line pipe cutting control system based on feedback analysis can significantly improve the quality and efficiency of pipe cutting, reduce waste, and lower production costs. It is an indispensable part of the modern manufacturing process;

[0003] For example, in the Chinese patent with the authorization publication number CN103433607B, a digital plasma cutting machine control system is proposed, which all uses DSP as the control center. The main power controller is communicatively connected to the gas controller and the cooler controller through the CAN bus; the main power controller is used to complete the process control and management of the plasma cutting power supply system, the detection of the state process and the fault diagnosis; the gas controller is used to control the gas flow direction and pressure required when the plasma cutting power supply works according to the instructions sent by the main power controller, and at the same time feedback this information to the main power controller for monitoring; the cooler controller is used to control the flow rate and temperature of the coolant in the ion cutting machine system, and at the same time feedback this information to the main power controller for status monitoring. Through the coordinated control among the main power supply, the gas system, and the cooling system, the overall function and optimization processing of the entire plasma cutting machine control system are realized, and the operation efficiency of the entire system is improved;

[0004] The applicant has found that in the prior art, during on-line pipe cutting control, it is impossible to monitor in real time the section data during the pipe cutting process and the operating data of the laser cutting equipment during the pipe cutting process, and conduct comprehensive analysis to accurately calculate the laser cutting speed for the next cycle, resulting in the inability to quickly optimize the cutting quality. The above problems exist in the prior art;

[0005] To solve these problems, the present application designs an on-line pipe cutting control system and method based on feedback analysis. Summary of the Invention

[0006] In view of the deficiencies of the prior art, the present invention proposes an on-line cutting control system and method for pipes based on feedback analysis. The present invention obtains in real time the cross-section data during the pipe cutting process, and at the same time obtains the operating data of the laser cutting equipment during the pipe cutting process. The obtained cross-section data during the pipe cutting process is imported into the cross-section anomaly evaluation model for cross-section anomaly evaluation, and the obtained operating data of the laser cutting equipment is imported into the laser cutting anomaly evaluation model for laser cutting anomaly evaluation. The cutting speed is estimated by importing the cross-section anomaly evaluation result and the laser cutting anomaly evaluation result into the cutting speed evaluation strategy. The control module controls in real time according to the estimated cutting speed. By monitoring in real time the cross-section data during the pipe cutting process and the operating data of the laser cutting equipment during the pipe cutting process, and performing comprehensive analysis, the laser cutting speed of the next cycle is accurately calculated, improving the cutting efficiency while ensuring the cutting quality.

[0007] To achieve the above object, the present invention provides the following technical solutions: An on-line cutting control method for pipes based on feedback analysis, which includes the following specific steps:

[0008] Obtain in real time the cross-section data during the pipe cutting process, and at the same time obtain the operating data of the laser cutting equipment during the pipe cutting process;

[0009] Import the obtained cross-section data during the pipe cutting process into the cross-section anomaly evaluation model for cross-section anomaly evaluation;

[0010] Import the obtained operating data of the laser cutting equipment into the laser cutting anomaly evaluation model for laser cutting anomaly evaluation;

[0011] Estimate the cutting speed by importing the cross-section anomaly evaluation result and the laser cutting anomaly evaluation result into the cutting speed evaluation strategy;

[0012] The control module controls in real time according to the estimated cutting speed.

[0013] As a preferred technical solution of an on-line cutting control method for pipes based on feedback analysis, the step of obtaining in real time the cross-section data during the pipe cutting process and at the same time obtaining the operating data of the laser cutting equipment during the pipe cutting process includes the following specific steps:

[0014] S11. The laser cutting equipment cuts the pipe at a set cutting speed. During the cutting process, the cross-section data of the pipe during the cutting process is collected in real time through an image acquisition terminal, and at the same time the set standard cross-section image data is obtained. Here, it should be noted that the set standard cross-section image is obtained through the input pipe image to be cut;

[0015] S12. Obtain the operating data of the laser cutting equipment during the pipe cutting process. The operating data of the laser cutting equipment includes operating current, operating voltage, cutting power, and cutting speed data. Among them, the operating current is collected by the operating current acquisition terminal, the operating voltage is collected by the operating voltage acquisition terminal, the cutting power is collected by the cutting power acquisition terminal, and the cutting speed data is collected by the cutting speed acquisition terminal;

[0016] As a preferred technical solution of an on-line pipe cutting control method based on feedback analysis, the importing the obtained cross-section data during the pipe cutting process into the cross-section anomaly evaluation model for cross-section anomaly evaluation includes the following specific contents:

[0017] S21. Set the monitoring period, obtain the cross-section image data and standard cross-section image data during the pipe cutting process within the monitoring period, obtain the differences in the boundary positions of the corresponding cross-sections of the cross-section image and the standard cross-section image during the pipe cutting process, and simultaneously obtain the pipe thickness data at the boundary positions of the corresponding cross-sections;

[0018] S22. Import the differences in the boundary positions of the corresponding cross-sections of the cross-section image and the standard cross-section image during the pipe cutting process and the pipe thickness data at the boundary positions of the corresponding cross-sections into the cross-section anomaly evaluation value calculation formula to calculate the cross-section anomaly evaluation value. The cross-section anomaly evaluation value calculation formula is: , where n is the number of boundary position monitoring points, is the absolute value of the difference at the i-th monitoring point of the boundary position of the corresponding cross-section of the cross-section image and the standard cross-section image during the pipe cutting process, k is the maximum value of the safe range of the cutting difference, s is the standard cutting thickness corresponding to the cutting power, and si is the cutting thickness at the i-th monitoring point;

[0019] S23. Obtain the calculated cross-section anomaly evaluation value;

[0020] As a preferred technical solution of an on-line pipe cutting control method based on feedback analysis, the importing the obtained operating data of the laser cutting equipment into the laser cutting anomaly evaluation model for laser cutting anomaly evaluation includes the following specific steps:

[0021] S31. Obtain the operating current, operating voltage, and cutting power data in the operating data of the laser cutting equipment during the pipe cutting process within the monitoring period;

[0022] S32. Import the operating current, operating voltage, and cutting power data in the operating data of the laser cutting equipment into the laser cutting anomaly evaluation value calculation formula to calculate the laser cutting anomaly evaluation value. The laser cutting anomaly evaluation value calculation formula is: , where T is the duration of the monitoring period, m is the number of data types in the operating current, operating voltage, and cutting power data, cjt is the specific value of the t-th data type in the operating current, operating voltage, and cutting power data at time t, cjmax is the maximum value of the safety range of the t-th data type in the operating current, operating voltage, and cutting power data, is the minimum value of the safety range of the t-th data type in the operating current, operating voltage, and cutting power data, and dt is the time integral;

[0023] S33. Obtain the calculated laser cutting anomaly evaluation value.

[0024] As a preferred technical solution of an on-line pipe cutting control method based on feedback analysis, the prediction of the cutting speed by introducing the cutting surface anomaly evaluation result and the laser cutting anomaly evaluation result into the cutting speed evaluation strategy includes the following specific steps:

[0025] S41. Obtain the calculated cutting surface anomaly evaluation value and laser cutting anomaly evaluation value, and at the same time obtain the laser cutting speed and the thickness data of the pipe to be cut in the next cycle;

[0026] S42. Substitute the obtained cutting surface anomaly evaluation value and laser cutting anomaly evaluation value into the pipe cutting anomaly coefficient calculation formula to calculate the pipe cutting anomaly coefficient. The pipe cutting anomaly coefficient calculation formula is: , where is the proportion coefficient of the cutting surface anomaly evaluation value;

[0027] S43. Substitute the obtained pipe cutting anomaly coefficient, the laser cutting speed in the previous cycle, and the thickness data of the pipe to be cut in the next cycle into the cutting speed calculation formula to calculate the cutting speed in the next cycle. The cutting speed calculation formula is: , where Vz is the laser cutting speed in the previous cycle, Dm is the average thickness data of the pipe cut in the previous cycle, and Dz is the average thickness data of the pipe to be cut in the next cycle.

[0028] As a preferred technical solution of an on-line pipe cutting control method based on feedback analysis, the specific steps for the control module to perform real-time control according to the predicted cutting speed are as follows:

[0029] Obtain the cutting speed in the next cycle, transmit it to the control module, and the control module performs real-time control according to the predicted cutting speed.

[0030] An on-line pipe cutting control system based on feedback analysis is implemented based on the above on-line pipe cutting control method based on feedback analysis, and specifically includes:

[0031] A data acquisition module, which is used to obtain the cross-section data during the pipe cutting process in real time, and at the same time obtain the operation data of the laser cutting equipment during the pipe cutting process;

[0032] A cross-section anomaly evaluation module, which is used to import the cross-section data obtained during the pipe cutting process into a cross-section anomaly evaluation model for cross-section anomaly evaluation;

[0033] A laser cutting anomaly evaluation module, which is used to import the operation data of the laser cutting equipment obtained into a laser cutting anomaly evaluation model for laser cutting anomaly evaluation;

[0034] A cutting speed estimation module, which is used to import the cross-section anomaly evaluation result and the laser cutting anomaly evaluation result into a cutting speed evaluation strategy for estimating the cutting speed;

[0035] A cutting speed control module, which is used to control the module to control in real time according to the estimated cutting speed;

[0036] A control module, which is used to control the operation of the data acquisition module, the cross-section anomaly evaluation module, the laser cutting anomaly evaluation module, the cutting speed estimation module and the cutting speed control module.

[0037] An electronic device, comprising: a processor and a memory, wherein a computer program that can be called by the processor is stored in the memory;

[0038] The processor executes the above-mentioned on-line pipe cutting control method based on feedback analysis by calling the computer program stored in the memory.

[0039] A computer-readable storage medium stores instructions, and when the instructions run on a computer, the computer is made to execute the above-mentioned on-line pipe cutting control method based on feedback analysis.

[0040] Compared with the prior art, the beneficial effects of the present invention are:

[0041] The present invention obtains the cross-section data during the pipe cutting process in real time, and at the same time obtains the operation data of the laser cutting equipment during the pipe cutting process. The cross-section data obtained during the pipe cutting process is imported into a cross-section anomaly evaluation model for cross-section anomaly evaluation, and the operation data of the laser cutting equipment obtained is imported into a laser cutting anomaly evaluation model for laser cutting anomaly evaluation. The cross-section anomaly evaluation result and the laser cutting anomaly evaluation result are imported into a cutting speed evaluation strategy for estimating the cutting speed, and the control module controls in real time according to the estimated cutting speed. By monitoring the cross-section data during the pipe cutting process and the operation data of the laser cutting equipment during the pipe cutting process in real time and performing comprehensive analysis, the laser cutting speed of the next cycle is accurately calculated, improving the cutting efficiency while ensuring the cutting quality. Brief Description of the Drawings

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on the provided drawings.

[0043] Figure 1 It is a schematic diagram of the overall process of an on-line pipe cutting control method based on feedback analysis of the present invention;

[0044] Figure 2 It is a schematic diagram of the process of step S2 in an on-line pipe cutting control method based on feedback analysis of the present invention;

[0045] Figure 3 It is a schematic diagram of the overall framework of an on-line pipe cutting control system based on feedback analysis of the present invention.

[0046] Figure 4 It is a schematic diagram of an electronic device of the present invention. Detailed Embodiments

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0048] Many specific details are set forth in the following description in order to provide a thorough understanding of the present application, but the present application may be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present application. Therefore, the present application is not limited by the specific embodiments disclosed below.

[0049] Embodiment 1

[0050] Please refer to Figure 1 - Figure 2 , an embodiment provided by the present invention: The technical problem solved by this embodiment is that in the prior art, during the on-line pipe cutting control, it is impossible to monitor the section data during the pipe cutting process and the operation data of the laser cutting equipment during the pipe cutting process in real time, and perform comprehensive analysis to accurately calculate the laser cutting speed in the next cycle, resulting in the inability to quickly optimize the cutting quality;

[0051] An on-line pipe cutting control method based on feedback analysis, which includes the following specific steps:

[0052] S1. Real-time obtain the cross-section data during the pipe cutting process, and at the same time obtain the operating data of the laser cutting equipment during the pipe cutting process;

[0053] Here, it should be specifically explained that real-time obtaining the cross-section data during the pipe cutting process and at the same time obtaining the operating data of the laser cutting equipment during the pipe cutting process includes the following specific steps:

[0054] S11. The laser cutting equipment cuts the pipe at the set cutting speed. During the cutting process, the cross-section data of the pipe during the cutting process is collected in real time through the image acquisition terminal, and at the same time, the set standard cross-section image data is obtained. Here, it should be noted that the set standard cross-section image is obtained through the input pipe image to be cut;

[0055] S12. Obtain the operating data of the laser cutting equipment during the pipe cutting process. Among them, the operating data of the laser cutting equipment includes operating current, operating voltage, cutting power, and cutting speed data. Among them, the operating current is collected through the operating current acquisition terminal, the operating voltage is collected through the operating voltage acquisition terminal, the cutting power is collected through the cutting power acquisition terminal, and the cutting speed data is collected through the cutting speed acquisition terminal;

[0056] S2. Import the cross-section data obtained during the pipe cutting process into the cross-section anomaly evaluation model for cross-section anomaly evaluation;

[0057] Here, it should be specifically explained that importing the cross-section data obtained during the pipe cutting process into the cross-section anomaly evaluation model for cross-section anomaly evaluation includes the following specific contents:

[0058] S21. Set the monitoring period, obtain the cross-section image data and standard cross-section image data during the pipe cutting process within the monitoring period, obtain the difference between the boundary positions of the corresponding cross-sections of the cross-section image and the standard cross-section image during the pipe cutting process, and at the same time obtain the pipe thickness data at the boundary positions of the corresponding cross-sections;

[0059] S22. Import the difference between the boundary positions of the corresponding cross-sections of the cross-section image and the standard cross-section image obtained during the pipe cutting process and the pipe thickness data at the boundary positions of the corresponding cross-sections into the cross-section anomaly evaluation value calculation formula to calculate the cross-section anomaly evaluation value. Among them, the cross-section anomaly evaluation value calculation formula is: , where n is the number of boundary position monitoring points, is the absolute value of the difference between the i-th monitoring point of the boundary positions of the corresponding cross-sections of the cross-section image and the standard cross-section image during the pipe cutting process, k is the maximum value of the safe range of the cutting difference, s is the standard cutting thickness corresponding to the cutting power, and si is the cutting thickness at the i-th monitoring point;

[0060] S23. Obtain the calculated cross-section anomaly evaluation value;

[0061] S3. Import the obtained laser cutting equipment operation data into the laser cutting anomaly evaluation model for laser cutting anomaly evaluation;

[0062] Here, it should be specifically noted that importing the obtained laser cutting equipment operation data into the laser cutting anomaly evaluation model for laser cutting anomaly evaluation includes the following specific steps:

[0063] S31. Obtain the operating current, operating voltage, and cutting power data in the laser cutting equipment operation data during the pipe cutting process within the monitoring period;

[0064] S32. Import the operating current, operating voltage, and cutting power data in the laser cutting equipment operation data into the laser cutting anomaly evaluation value calculation formula to calculate the laser cutting anomaly evaluation value. The laser cutting anomaly evaluation value calculation formula is: , where T is the duration of the monitoring period, m is the number of data types in the operating current, operating voltage, and cutting power data, cjt is the specific value of the t-th data type in the operating current, operating voltage, and cutting power data at time t, cjmax is the maximum value of the safety range of the t-th data type in the operating current, operating voltage, and cutting power data, is the minimum value of the safety range of the t-th data type in the operating current, operating voltage, and cutting power data, and dt is the time integral;

[0065] S33. Obtain the calculated laser cutting anomaly evaluation value;

[0066] S4. Import the cross-section anomaly evaluation result and the laser cutting anomaly evaluation result into the cutting speed evaluation strategy to estimate the cutting speed;

[0067] Here, it should be specifically noted that importing the cross-section anomaly evaluation result and the laser cutting anomaly evaluation result into the cutting speed evaluation strategy to estimate the cutting speed includes the following specific steps:

[0068] S41. Obtain the calculated cross-section anomaly evaluation value and laser cutting anomaly evaluation value, and at the same time obtain the laser cutting speed and the thickness data of the pipe to be cut in the next cycle;

[0069] S42. Substitute the obtained cross-section anomaly evaluation value and laser cutting anomaly evaluation value into the pipe cutting anomaly coefficient calculation formula to calculate the pipe cutting anomaly coefficient. The pipe cutting anomaly coefficient calculation formula is: , where, is the cross-section anomaly evaluation value proportion coefficient;

[0070] S43. Substitute the obtained abnormal coefficient of pipe cutting, the laser cutting speed in the previous cycle, and the thickness data of the pipe to be cut in the next cycle into the cutting speed calculation formula to calculate the cutting speed in the next cycle. The cutting speed calculation formula is as follows: , where Vz is the laser cutting speed in the previous cycle, Dm is the average thickness data of the pipe cut in the previous cycle, and Dz is the average thickness data of the pipe to be cut in the next cycle;

[0071] S5. The control module controls in real time according to the predicted cutting speed;

[0072] Specifically, the specific steps for the control module to control in real time according to the predicted cutting speed are as follows:

[0073] The obtained cutting speed in the next cycle is transmitted to the control module, and the control module controls in real time according to the predicted cutting speed;

[0074] The specific steps are: transmit the predicted cutting speed to the control module through a certain communication protocol (such as industrial Ethernet, serial communication, CAN bus, etc.) to ensure the real-time and accuracy of the data. After receiving the cutting speed data, the control module parses and processes it. The control algorithm in the module adjusts the parameters of the cutting machine, such as cutting speed, feed speed, etc., according to the predicted cutting speed. The control module issues instructions to the actuator (such as cutting motor, servo driver, etc.) to adjust the cutting speed and other relevant parameters. The actuator makes corresponding adjustments according to the instructions to achieve the predicted cutting speed. The control system continuously monitors the cutting process and feeds back the actual cutting speed to the control module. If there is a deviation between the actual speed and the predicted speed, the control system will make real-time adjustments to maintain the stability of the cutting process and the cutting quality. The control system continuously loops and iterates the above steps, adjusts the prediction model and control strategy according to the real-time feedback to achieve higher cutting accuracy and efficiency;

[0075] The whole process requires precise sensors and high-speed computing and processing capabilities to ensure that the prediction and control of the cutting speed can quickly respond to the changing conditions on the production line; in addition, the reliability and real-time performance of the system are the keys to ensuring production efficiency and product quality.

[0076] It should be noted here that the advantages of this embodiment over the prior art are as follows: real-time acquisition of the cross-section data during the pipe cutting process, and at the same time acquisition of the operating data of the laser cutting equipment during the pipe cutting process. The acquired cross-section data during the pipe cutting process is imported into the cross-section anomaly evaluation model for cross-section anomaly evaluation, and the acquired operating data of the laser cutting equipment is imported into the laser cutting anomaly evaluation model for laser cutting anomaly evaluation. The cross-section anomaly evaluation result and the laser cutting anomaly evaluation result are imported into the cutting speed evaluation strategy to estimate the cutting speed. The control module controls in real time according to the estimated cutting speed. By monitoring in real time the cross-section data during the pipe cutting process and the operating data of the laser cutting equipment during the pipe cutting process, and conducting comprehensive analysis, the laser cutting speed for the next cycle is accurately calculated, improving the cutting efficiency while ensuring the cutting quality.

[0077] Embodiment 2

[0078] As Figure 3 shown, a pipe online cutting control system based on feedback analysis, which is implemented based on the above-mentioned pipe online cutting control method based on feedback analysis, specifically includes:

[0079] A data acquisition module, which is used to acquire in real time the cross-section data during the pipe cutting process, and at the same time acquire the operating data of the laser cutting equipment during the pipe cutting process;

[0080] A cross-section anomaly evaluation module, which is used to import the acquired cross-section data during the pipe cutting process into the cross-section anomaly evaluation model for cross-section anomaly evaluation;

[0081] A laser cutting anomaly evaluation module, which is used to import the acquired operating data of the laser cutting equipment into the laser cutting anomaly evaluation model for laser cutting anomaly evaluation;

[0082] A cutting speed estimation module, which is used to import the cross-section anomaly evaluation result and the laser cutting anomaly evaluation result into the cutting speed evaluation strategy to estimate the cutting speed;

[0083] A cutting speed regulation module, which is used for the control module to control in real time according to the estimated cutting speed;

[0084] A control module, which is used to control the operation of the data acquisition module, the cross-section anomaly evaluation module, the laser cutting anomaly evaluation module, the cutting speed estimation module and the cutting speed regulation module.

[0085] Embodiment 3

[0086] This embodiment provides an electronic device, as Figure 4 shown, including: a processor and a memory, wherein, a computer program that can be called by the processor is stored in the memory;

[0087] The processor executes the above-mentioned online pipe cutting control method based on feedback analysis by calling the computer program stored in the memory.

[0088] This electronic device can vary greatly due to different configurations or performances, and can include one or more processors and one or more memories. Among them, at least one computer program is stored in the memory, and this computer program is loaded and executed by the processor to implement the online pipe cutting control method based on feedback analysis provided by the above method embodiment.

[0089] Embodiment 4

[0090] This embodiment provides a computer-readable storage medium, on which a rewritable computer program is stored;

[0091] When the computer program runs on a computer device, it enables the computer device to execute the above-mentioned online pipe cutting control method based on feedback analysis.

[0092] For example, the computer-readable storage medium can be a read-only memory, a random access memory, a compact disc read-only memory, magnetic tape, floppy disk, and optical data storage device, etc.

Claims

1. An on-line cutting control method for pipe materials based on feedback analysis, characterized in that It includes the following specific steps: Obtain the cross-section data during the pipe cutting process in real time, and at the same time obtain the operating data of the laser cutting equipment during the pipe cutting process; Import the cross-section data obtained during the pipe cutting process into the cross-section anomaly evaluation model for cross-section anomaly evaluation; Import the operating data of the laser cutting equipment obtained during the pipe cutting process into the laser cutting anomaly evaluation model for laser cutting anomaly evaluation; Estimate the cutting speed by importing the cross-section anomaly evaluation result and the laser cutting anomaly evaluation result into the cutting speed evaluation strategy; The control module controls in real time according to the estimated cutting speed; The step of importing the cross-section data obtained during the pipe cutting process into the cross-section anomaly evaluation model for cross-section anomaly evaluation includes the following specific contents: Set the monitoring period, obtain the cross-section image data and the standard cross-section image data during the pipe cutting process within the monitoring period, obtain the difference in the boundary positions of the corresponding cross-sections of the cross-section image and the standard cross-section during the pipe cutting process, and at the same time obtain the pipe thickness data at the boundary positions of the corresponding cross-sections; Import the differences in the boundary positions of the corresponding sections between the cross-section image during the pipe cutting process and the standard cross-section image, as well as the pipe thickness data at the boundary positions of the corresponding sections, into the cross-section abnormality evaluation value calculation formula to calculate the cross-section abnormality evaluation value. Among them, the cross-section abnormality evaluation value calculation formula is: Among them, n is the number of boundary position monitoring points, |ki - ki′| is the absolute value of the difference between the i-th monitoring point of the boundary positions of the corresponding sections of the cross-section image during the pipe cutting process and the standard cross-section image, k is the maximum value of the safe range of the cutting difference, s is the standard cutting thickness corresponding to the cutting power, and si is the cutting thickness of the i-th monitoring point; Obtain the calculated cross-section anomaly evaluation value; The step of importing the operating data of the laser cutting equipment obtained during the pipe cutting process into the laser cutting anomaly evaluation model for laser cutting anomaly evaluation includes the following specific steps: Obtain the operating current, operating voltage, and cutting power data in the operating data of the laser cutting equipment during the pipe cutting process within the monitoring period; Obtain the operating current, operating voltage, and cutting power data in the operating data of the laser cutting equipment, and import them into the calculation formula of the laser cutting abnormality evaluation value to calculate the laser cutting abnormality evaluation value. Among them, the calculation formula of the laser cutting abnormality evaluation value is: Among them, T is the duration of the monitoring period, m is the number of data types in the operating current, operating voltage, and cutting power data, cjt is the specific value of the t-th data type in the operating current, operating voltage, and cutting power data at the t-th moment, cjmax is the maximum value of the safety range of the t-th data type in the operating current, operating voltage, and cutting power data, cjmin is the minimum value of the safety range of the t-th data type in the operating current, operating voltage, and cutting power data, and dt is the time integral; Obtain the calculated laser cutting anomaly evaluation value; The step of estimating the cutting speed by importing the cross-section anomaly evaluation result and the laser cutting anomaly evaluation result into the cutting speed evaluation strategy includes the following specific steps: Obtain the calculated cross-section anomaly evaluation value and the laser cutting anomaly evaluation value, and at the same time obtain the laser cutting speed and the thickness data of the pipe to be cut in the next cycle; Substitute the obtained cross-section anomaly evaluation value and laser cutting anomaly evaluation value into the calculation formula of the pipe cutting anomaly coefficient. Among them, the calculation formula of the pipe cutting anomaly coefficient is: Sm = aQm + (1 - a)Jm, where, a is the proportion coefficient of the cross-section anomaly evaluation value; The obtained abnormal coefficient of pipe cutting, the laser cutting speed in the previous cycle, and the thickness data of the pipe to be cut in the next cycle are substituted into the cutting speed calculation formula to calculate the cutting speed in the next cycle. The cutting speed calculation formula is as follows: where Vz is the laser cutting speed in the previous cycle, Dm is the average thickness data of the pipe cut in the previous cycle, and Dz is the average thickness data of the pipe to be cut in the next cycle.

2. The on-line cutting control method for pipe materials based on feedback analysis according to claim 1, characterized in that The step of obtaining the cross-section data during the pipe cutting process in real time and at the same time obtaining the operating data of the laser cutting equipment during the pipe cutting process includes the following specific steps: The laser cutting equipment cuts the pipe at the set cutting speed. During the cutting process, the cross-section data of the pipe during the cutting process is collected in real time through the image acquisition terminal, and at the same time the set standard cross-section image data is obtained; Obtain the operating data of the laser cutting equipment during the pipe cutting process. Among them, the operating data of the laser cutting equipment includes operating current, operating voltage, cutting power, and cutting speed data. Among them, the operating current is collected through the operating current acquisition terminal, the operating voltage is collected through the operating voltage acquisition terminal, the cutting power is collected through the cutting power acquisition terminal, and the cutting speed data is collected through the cutting speed acquisition terminal.

3. The on-line cutting control method for pipes based on feedback analysis according to claim 2, characterized in that, The specific steps of the control module controlling in real time according to the estimated cutting speed are as follows: Obtain the cutting speed in the next cycle and transmit it to the control module. The control module controls in real time according to the estimated cutting speed.

4. An on-line cutting control system for pipes based on feedback analysis, which is implemented based on the on-line cutting control method for pipes based on feedback analysis according to any one of claims 1-3, characterized in that, It specifically includes: A data acquisition module for obtaining the cross-section data during the pipe cutting process in real time and at the same time obtaining the operating data of the laser cutting equipment during the pipe cutting process; A cross-section anomaly evaluation module for importing the cross-section data obtained during the pipe cutting process into the cross-section anomaly evaluation model for cross-section anomaly evaluation; A laser cutting anomaly evaluation module for importing the obtained operating data of the laser cutting equipment into a laser cutting anomaly evaluation model to evaluate laser cutting anomalies; A cutting speed prediction module for predicting the cutting speed by importing the cross-section anomaly evaluation result and the laser cutting anomaly evaluation result into a cutting speed evaluation strategy; A cutting speed regulation module for controlling the module to regulate in real time according to the predicted cutting speed; A control module for controlling the operation of the data acquisition module, the cross-section anomaly evaluation module, the laser cutting anomaly evaluation module, the cutting speed prediction module, and the cutting speed regulation module.

5. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes a method for online cutting control of pipes based on feedback analysis according to any one of claims 1-3 by calling the computer program stored in the memory.

6. A computer-readable storage medium, characterized in that, Instructions are stored, and when the instructions run on a computer, the computer executes a method for online cutting control of pipes based on feedback analysis according to any one of claims 1-3.

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