A high-precision laser composite machining machine precision sheet metal machining control system and method, and a high-precision laser composite machining machine

Abstract

This invention relates to the field of processing control technology, specifically disclosing a precision sheet metal processing control system, method, and high-precision laser composite processing machine. This system, through the collaborative operation of a processing judgment module, an optimization and adjustment module, a processing early warning module, and a processing pre-adjustment module, constructs an intelligent, closed-loop quality assurance system for precision sheet metal processing using a high-precision laser composite processing machine. The optimization and adjustment module acquires processing parameters in real time and dynamically adjusts them, ensuring precise and controllable processing, significantly improving processing accuracy and efficiency. The processing early warning module monitors the compensation and adjustment effects in real time, promptly warning of potential risks, avoiding batch quality accidents, and ensuring production stability. The processing pre-adjustment module, based on finished product data analysis, predicts process problems in advance and optimizes parameters, achieving preventative maintenance. The combination of these three modules not only reduces the defect rate but also improves equipment response speed, making the processing process more efficient, stable, and reliable.

Description

Technical Field

[0001] This invention relates to the field of processing control technology, specifically to a precision sheet metal processing control system and method for a high-precision laser composite processing machine, and the high-precision laser composite processing machine itself. Background Technology

[0002] In modern manufacturing, high-precision laser composite processing machines have become an indispensable key equipment in the field of precision sheet metal processing due to their efficient and precise processing capabilities. With the advent of Industry 4.0 and the rapid development of intelligent manufacturing technology, the market has put forward more stringent requirements for the processing accuracy, quality stability and production efficiency of precision sheet metal parts.

[0003] For example, the invention patent with announcement number CN116339238B announces a method for controlling the motion of a five-axis laser processing equipment with independent beam scanning. In order to solve the technical problem that if the motion pattern of the laser beam is not circular during the processing of multi-axis laser processing equipment, it will lead to misalignment and scrap of parts. The invention provides a method for controlling the motion of a five-axis laser processing equipment with independent beam scanning. By analyzing the motion structure and connection relationship of the five-axis machine tool, the motion trajectory of the beam scanning device is decomposed into each motion axis, the position of the beam scanning device relative to the workpiece under the combined action of each axis is obtained, and then a local scanning coordinate system under the current position is established.

[0004] For example, the invention patent with announcement number CN110673541B announces a repetitive positioning control method for a laser micro-texturing machine tool, including the following steps: First, acquire the configuration information of the machine tool worktable, including the worktable's motion trajectory, speed, and acceleration; second, establish a mathematical model of the machine tool's transmission links, and calculate the ideal values ​​of the rotational speed and acceleration of each servo motor based on the configuration information; third, read the actual values ​​of the rotational speed and acceleration of each servo motor and compare them with the ideal values ​​to obtain the tuning parameters for the composite feedforward compensation of speed and acceleration, and acquire the feedforward compensation variable; fourth, acquire the feedback control variable; fifth, the composite feedforward compensation variable and the feedback control variable form the control variable; wherein, the machine tool worktable is used to clamp the workpiece to be processed; the machine tool worktable can move horizontally relative to the machine tool along the X-axis and Y-axis and rotate around the θ-axis under the drive of the servo motor group.

[0005] However, in the process of implementing the embodiments of this application, it was found that the above-mentioned technology has at least the following technical problems: Although the existing technical solutions have improved the processing accuracy and stability to a certain extent, when dealing with complex processing tasks or facing high performance requirements, it is difficult to accurately capture the subtle abnormalities and potential risks in the processing process, which may cause the early warning mechanism to fail to issue alarms and control in a timely and accurate manner at critical moments, thereby affecting the further improvement of processing quality and the stable guarantee of production efficiency. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a precision sheet metal processing control system, method, and high-precision laser composite processing machine, which can effectively solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: The first aspect of the present invention provides a precision sheet metal processing control system for a high-precision laser composite processing machine, comprising: a processing determination module, used to determine whether to process the precision sheet metal using a high-precision laser composite processing machine by acquiring and analyzing positional image parameters of the precision sheet metal; an optimization adjustment module, used to process the precision sheet metal using the high-precision laser composite processing machine, acquire and evaluate the processing parameters of the high-precision laser composite processing machine, thereby optimizing and compensating for the processing process of the high-precision laser composite processing machine; a processing early warning module, used to monitor the compensation adjustment process of the high-precision laser composite processing machine and determine whether to issue an early warning for the processing process of the high-precision laser composite processing machine; and a processing pre-adjustment module, used to perform data analysis on the processed precision sheet metal, thereby pre-adjusting the processing process of the high-precision laser composite processing machine.

[0008] As a further solution, the processing process of the high-precision laser composite machining machine is optimized, controlled, and compensated. Specifically, this involves: evaluating the processing parameters of the high-precision laser composite machining machine within the inspection cycle, obtaining the processing quality index of the high-precision laser composite machining machine within the inspection cycle, and comparing it with the processing quality threshold; if the processing quality index of the high-precision laser composite machining machine within the inspection cycle is greater than or equal to the processing quality threshold, then the processing process of the high-precision laser composite machining machine is optimized and controlled. The specific optimization and control process is as follows: obtaining the processing quality change rate of the high-precision laser composite machining machine within the inspection cycle and comparing it with the defined processing quality change rate; if the processing quality change rate of the high-precision laser composite machining machine within the inspection cycle is less than the defined processing quality change rate, then a speed reduction coefficient is matched based on the processing quality change rate, and the cutting speed of the high-precision laser composite machining machine in the next adjacent inspection cycle is reduced and optimized; if the processing quality change rate of the high-precision laser composite machining machine within the inspection cycle is greater than or equal to the defined processing quality change rate, then the cutting speed of the high-precision laser composite machining machine in the next adjacent inspection cycle is not reduced and optimized.

[0009] As a further solution, the processing process of the high-precision laser composite machining machine is optimized, controlled, and compensated. Specifically, if the processing quality index of the high-precision laser composite machining machine is less than the processing quality threshold within the detection cycle, compensation adjustments are made. Specifically, the basic compensation depth and basic compensation laser intensity corresponding to each processing quality deviation factor are stored in the control database. The processing quality deviation factor of the high-precision laser composite machining machine within the detection cycle is obtained, and its absolute difference is sequentially processed with each processing quality deviation factor stored in the control database to obtain dynamic differences. These dynamic differences are then sorted in ascending order, and the processing quality deviation factor corresponding to the top-ranked dynamic difference is extracted. The basic compensation depth and basic compensation laser intensity corresponding to this processing quality deviation factor are marked as the basic compensation depth and basic compensation laser intensity of the high-precision laser composite machining machine. Simultaneously, the basic compensation depth and basic compensation laser intensity of the high-precision laser composite machining machine are corrected based on the top-ranked dynamic difference, thereby obtaining the target compensation depth and target compensation laser intensity of the high-precision laser composite machining machine. The intensity is adjusted to compensate for the processing process of the high-precision laser composite machining machine; simultaneously, based on the processing quality deviation factor of the high-precision laser composite machining machine within the inspection cycle, the duration of the corresponding inspection cycle is reduced; the processing quality index of the high-precision laser composite machining machine within the inspection cycle is specifically analyzed as follows: the processing parameters of the high-precision laser composite machining machine within the inspection cycle include the average laser power density, the average laser beam divergence angle, and the average focal diameter within the inspection cycle; the influence of the ratio between the average laser power density and the defined average laser power density, the ratio between the average laser beam divergence angle and the defined average laser beam divergence angle, and the ratio between the average focal diameter and the defined average focal diameter on the processing quality index are quantified, and these influences are coupled to obtain the processing quality index; the processing quality index of the high-precision laser composite machining machine within the inspection cycle is used to quantify the processing depth accuracy of the high-precision laser composite machining machine within the inspection cycle.

[0010] As a further solution, a decision is made regarding whether to issue an early warning for the high-precision laser composite machining process. The specific decision-making process involves: monitoring the compensation adjustment process of the high-precision laser composite machining machine, analyzing its compensation optimization coefficient in real time, and comparing it with a compensation optimization threshold. If the compensation optimization coefficient is greater than or equal to the compensation optimization threshold, it is determined that no early warning will be issued for the high-precision laser composite machining process. Simultaneously, based on the target compensation depth and target compensation laser intensity of the high-precision laser composite machining machine, the laser depth and laser intensity in the next adjacent detection cycle are predicted and configured. Based on the compensation optimization coefficient, the cutting speed of the high-precision laser composite machining machine in the next adjacent detection cycle is increased and optimized. If the compensation optimization coefficient is less than the compensation optimization threshold, it is determined that an early warning will be issued for the high-precision laser composite machining process. The specific early warning process involves: obtaining the compliance index of the precision sheet metal and comparing it with a compliance threshold. If the compliance index of the precision sheet metal is greater than or equal to the compliance threshold, it is determined that an early warning will be issued based on... The compliance index of precision sheet metal is used to reduce the compensation optimization threshold. If the compliance index of precision sheet metal is less than the compliance threshold, an abnormality level of precision sheet metal is matched based on the compliance index, thereby providing an early warning for the processing of the high-precision laser composite machining machine. At the same time, the cutting speed of the high-precision laser composite machining machine is set to the minimum cutting speed. The specific analysis process of the compensation optimization coefficient of the high-precision laser composite machining machine is as follows: the growth rate of the processing quality index of the high-precision laser composite machining machine, the laser intensity deviation value of the high-precision laser composite machining machine, and the laser depth deviation value of the high-precision laser composite machining machine are obtained. The influence of the ratio between the growth rate of the processing quality index and the defined growth rate of the processing quality index, the ratio between the laser intensity deviation value and the defined laser intensity deviation value, and the ratio between the laser depth deviation value and the defined laser depth deviation value on the compensation optimization coefficient are quantified. The influence of each influence is summarized to obtain the compensation optimization coefficient. The compensation optimization coefficient of the high-precision laser composite machining machine is used to quantify the degree of compensation optimization of the high-precision laser composite machining machine.

[0011] As a further solution, the processing of the high-precision laser composite processing machine is pre-adjusted. Specifically, this involves: obtaining the compliance index of the finished precision sheet metal, performing difference processing on it and comparing the difference with a compliance threshold, then performing ratio processing on the result and the compliance threshold to obtain the compliance margin of the precision sheet metal, which is then compared with the defined compliance margin. If the compliance margin of the precision sheet metal is greater than or equal to the defined compliance margin, no pre-adjustment is performed on the processing of the high-precision laser composite processing machine. If the compliance margin of the precision sheet metal is less than the defined compliance margin, then the processing of the high-precision laser composite processing machine is pre-adjusted. The specific pre-adjustment process is as follows: based on the compliance margin of the precision sheet metal, the cutting speed of the high-precision laser composite processing machine is preset to be reduced, while the data acquisition frequency of the high-precision laser composite processing machine is preset to be increased.

[0012] The second aspect of this invention provides a precision sheet metal processing control method for a high-precision laser composite processing machine, comprising: Step 1, determining whether to process the precision sheet metal using a high-precision laser composite processing machine by acquiring and analyzing positional image parameters of the precision sheet metal; Step 2, processing the precision sheet metal using the high-precision laser composite processing machine, acquiring and evaluating the processing parameters of the high-precision laser composite processing machine, thereby optimizing and compensating for the processing process of the high-precision laser composite processing machine; Step 3, monitoring the compensation and adjustment process of the high-precision laser composite processing machine, and determining whether to issue an early warning for the processing process of the high-precision laser composite processing machine; Step 4, performing data analysis on the processed precision sheet metal, thereby pre-adjusting the processing process of the high-precision laser composite processing machine.

[0013] The third aspect of this invention provides a high-precision laser composite processing machine for use in precision sheet metal processing control systems, such as high-precision laser composite processing machines. The machine includes: a laser cutting module for automatic focusing and automatic cutting height following, adjusting the laser focus position, cutting height, and laser intensity in real time according to the different thicknesses of the processed material and processing requirements; a vision inspection module for using CCD camera technology to perform high-precision visual inspection of the processed precision sheet metal, thereby obtaining processing information of the precision sheet metal; and a control module for adjusting and controlling the processing strategy.

[0014] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0015] (1) This invention provides a precision sheet metal processing control system, method, and high-precision laser composite processing machine. The processing judgment module, optimization adjustment module, processing early warning module, and processing pre-adjustment module work together to build an intelligent, closed-loop quality assurance system for the high-precision laser composite processing machine to process precision sheet metal. The optimization adjustment module obtains processing parameters in real time and adjusts them dynamically to ensure that the processing process is accurate and controllable, significantly improving processing accuracy and efficiency. The processing early warning module monitors the compensation adjustment effect in real time, provides timely warnings of potential risks, avoids batch quality accidents, and ensures production stability. The processing pre-adjustment module analyzes finished product data, predicts process problems in advance, and optimizes parameters to achieve preventive maintenance. The combination of the three not only reduces the defect rate but also improves equipment utilization and response speed, making the processing process more efficient, stable, and reliable, and helping enterprises achieve high-quality and high-efficiency production of precision sheet metal.

[0016] (2) This invention achieves dynamic optimization of the processing process of high-precision laser composite processing machine by accurately matching the processing quality deviation factor and the basic compensation parameter through the compensation adjustment mechanism. It automatically calculates and sorts the dynamic difference, and prioritizes the selection of key deviation factors for targeted compensation, which effectively improves the processing accuracy and stability. At the same time, it adjusts the detection cycle time based on the deviation factor, which further enhances the real-time performance and response speed of quality monitoring and reduces the generation of defective products. This mechanism not only improves the processing efficiency and material utilization rate, but also reduces the cost of manual intervention and ensures the continuous stability of precision sheet metal processing quality.

[0017] (3) This invention achieves intelligent early warning and dynamic optimization of the high-precision laser composite processing machine by real-time monitoring and compensation optimization coefficient. When the coefficient meets the standard, the system automatically configures the laser parameters for the next cycle and increases the cutting speed to ensure processing efficiency and quality. If the coefficient is insufficient, an early warning is quickly activated, and the threshold is adjusted or the abnormal level is matched in combination with the precision sheet metal compliance index. At the same time, the cutting speed is reduced to avoid the generation of defective products. This mechanism not only enhances the controllability and stability of the processing process, but also reduces quality risks through preventive adjustment, improves production efficiency and material utilization, and ensures the high precision and consistency of precision sheet metal processing. Attached Figure Description

[0018] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present invention. For those skilled in the art, other drawings can be obtained based on the following drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the system module connections of the present invention.

[0020] Figure 2 This is a schematic diagram of the method steps of the present invention.

[0021] Figure 3 This is a schematic diagram illustrating the processing start determination of the present invention.

[0022] Figure 4 This is a schematic diagram of the processing control steps of the present invention. Detailed Implementation

[0023] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0024] Reference Figure 1 As shown, the first aspect of the present invention provides a precision sheet metal processing control system for a high-precision laser composite processing machine, comprising: a processing judgment module, an optimization adjustment module, a processing early warning module, a processing pre-adjustment module, and a control database.

[0025] The control database is used to store parameters involved in the precision sheet metal processing control system of a high-precision laser composite processing machine.

[0026] The processing judgment module is connected to the optimization and adjustment module. The optimization and adjustment module is connected to the processing early warning module and the processing pre-adjustment module respectively. The processing early warning module is connected to the processing pre-adjustment module. The optimization and adjustment module, the processing early warning module, and the processing pre-adjustment module are all connected to the control database.

[0027] It's important to explain that the high-precision laser composite processing machine is a modern processing equipment integrating high-precision laser cutting, intelligent visual inspection, and advanced control technology. At its core is a 3-kilowatt high-precision fiber laser, supporting automatic focusing and automatic cutting height tracking to ensure precise cutting across various sheet thicknesses. Simultaneously, the built-in CCD visual inspection system, combined with AI intelligent algorithms, can capture workpiece information in real time before processing, automatically correcting the origin and angle, greatly improving processing accuracy and consistency. It also employs a self-developed ELNC control system, combining high-configuration hardware and high-speed bus technology to achieve high-efficiency, high-precision motion control and processing. Furthermore, the equipment supports multi-directional loading and unloading, features a scratch-resistant design for material surfaces, and is equipped with rich expansion functions, such as unmanned automated production, MES system connection, and customized development. The high-precision laser composite processing machine is widely used in precision sheet metal processing fields, such as server manufacturing, intelligent driving, medical equipment, and automotive parts, aiming to provide users with efficient, precise, and flexible processing solutions to meet the demands of modern industry for high-quality, high-efficiency production.

[0028] The processing determination module is used to determine whether to process the precision sheet metal by collecting and analyzing the position image parameters of the precision sheet metal; the aforementioned position image parameters refer to the precision sheet metal captured by an image acquisition device (such as a high-precision camera).

[0029] The specific determination process for whether precision sheet metal has been processed by a high-precision laser composite processing machine is as follows:

[0030] If precision sheet metal does not exist, it is determined that the precision sheet metal will not be processed by a high-precision laser composite processing machine.

[0031] If precision sheet metal exists, the current processing count of the precision sheet metal is obtained. If the current processing count is the first processing count, it is determined whether the placement area of ​​the current precision sheet metal belongs to the reference placement area. If the placement area of ​​the current precision sheet metal belongs to the reference placement area, it is determined that the precision sheet metal will be processed by a high-precision laser composite processing machine. If the placement area of ​​the current precision sheet metal does not belong to the reference placement area, the reference holes of the precision sheet metal are obtained and analyzed cyclically according to a preset trajectory. If the result of obtaining and analyzing the reference holes of the precision sheet metal within the defined number of cycles is not the first result, it is determined that the high-precision laser composite processing machine will not be used. The machining center processes precision sheet metal and provides single-position anomaly warnings. If, within a defined number of cycles, the results of analyzing each reference hole of the precision sheet metal are obtained as the first result, it is determined that the precision sheet metal will be processed by a high-precision laser composite machining center. The aforementioned first processing number refers to one, and the aforementioned reference placement area refers to the placement area of ​​the precision sheet metal that is allowed by relevant technicians and is stored in the control database. Image processing software (such as Matrix Lab) is used to preprocess the position image parameters of the precision sheet metal, such as denoising and contrast enhancement. Then, a target detection algorithm (such as the YOLO target detection algorithm) is used to identify the precision sheet metal in the image. Sheet metal is marked, and then the logical judgment stage begins. If the target detection result is empty, meaning no precision sheet metal was detected, it is determined that "precision sheet metal will not be processed by the high-precision laser composite processing machine." If it is detected, the number of precision sheet metal is counted to obtain the current processing count. If the count matches the expected "first processing count," the placement area is further determined. Image processing technology (such as edge detection algorithms) is used to determine the placement area of ​​each precision sheet metal, and it is compared with a preset reference placement area. Finally, the result is output and an alert is issued. If the current placement area belongs to the reference placement area, it is determined that "precision sheet metal will be processed by the high-precision laser composite processing machine." If the actual placement location does not fall within the specified area, it is deemed "failed" and a single-location anomaly warning is triggered. The single-location anomaly warning can be implemented through sound alarms, visual prompts (such as flashing indicator lights), or by sending a notification to the management platform. At the same time, the time, location, and detailed information of each precision sheet metal anomaly event are recorded. The reference placement area is a pre-planned area range. Only when the precision sheet metal is placed within this specific area can it meet the conditions for processing by the high-precision laser composite processing machine. If the actual placement location deviates from the reference placement area or the precision sheet metal placement area partially overlaps with the reference placement area, it is determined that it does not belong to the reference placement area.

[0032] The above-mentioned method of obtaining and analyzing the reference holes of precision sheet metal in a cyclical manner according to a preset trajectory means that the CCD will search for the first reference hole according to the trajectory preset by the technician (for example, a walking trajectory such as a 9-grid). This search will also search within the range preset by the technician. If found, it will continue to search for the second reference hole. At the same time, the similarity between the actual dataset of the two reference holes and the reference dataset will be analyzed and verified through similarity algorithm.

[0033] The aforementioned actual dataset refers to the collection of attribute data of the reference hole, such as the center location point, etc. The aforementioned reference dataset refers to the reference set of the actual dataset.

[0034] The first result mentioned above refers to the identification of all reference holes, and the similarity between the actual dataset and the reference dataset of each reference hole is greater than the defined similarity, where the defined similarity refers to the minimum allowable value of similarity, which is determined by relevant technical personnel.

[0035] If the current number of precision sheet metal pieces processed is the second processing number, it is determined whether the placement area of ​​each precision sheet metal piece belongs to the reference placement area. If the placement area of ​​each precision sheet metal piece belongs to the reference placement area, a precision sheet metal overlay determination is performed to determine whether to process each precision sheet metal piece using a high-precision laser composite processing machine. If the precision sheet metal pieces do not overlap, it is determined that each precision sheet metal piece will be processed using a high-precision laser composite processing machine. If the precision sheet metal pieces overlap, it is determined that each precision sheet metal piece will not be processed using a high-precision laser composite processing machine, and an overlay anomaly warning is issued.

[0036] If the placement areas of each precision sheet metal are not entirely within the reference placement area, a precision sheet metal overlap determination is performed to determine whether to process each precision sheet metal using a high-precision laser composite processing machine. If the precision sheet metals overlap, it is determined that they will not be processed by the high-precision laser composite processing machine, and an overlap anomaly warning is issued. If the precision sheet metals do not overlap, the precision sheet metals whose placement areas are not entirely within the reference placement area are marked as precision sheet metals to be tested. The reference holes of each precision sheet metal to be tested are obtained and analyzed cyclically according to a preset trajectory. If the number of cycles is within the defined number of cycles, the precision sheet metals to be tested are obtained and analyzed. If the results of measuring each reference hole of the precision sheet metal are not the second result, it is determined that the precision sheet metal will not be processed by the high-precision laser composite processing machine, and a multi-position anomaly warning will be issued. If, within the defined number of cycles, the results of analyzing each reference hole of the precision sheet metal to be tested are the second result, it is determined that the precision sheet metal will be processed by the high-precision laser composite processing machine. The aforementioned second processing number refers to more than one. The aforementioned multi-position anomaly warning can be implemented through sound alarms, visual prompts (such as flashing indicator lights), or sending notifications to the management platform, while recording the time, location, and detailed information of multiple precision sheet metal anomaly events.

[0037] The second result mentioned above refers to the identification of all reference holes for each precision sheet metal to be inspected, and the similarity between the actual dataset and the reference dataset for each reference hole of each precision sheet metal to be inspected is greater than the defined similarity. The defined similarity refers to the minimum allowable value for similarity, which is determined by relevant technical personnel.

[0038] The precision sheet metal overlay determination process is as follows: The shape contour curves of each precision sheet metal are acquired and compared with reference shape contour curves. If the overlap rate between the shape contour curves of each precision sheet metal and the reference shape contour curve is a defined overlap rate, then the precision sheet metals are determined not to be overlaid. If the overlap rate between the shape contour curve of a certain precision sheet metal and the reference shape contour curve is not a defined overlap rate, then the precision sheet metals are determined to be overlaid. The shape contour curves of each precision sheet metal can be obtained through image processing techniques (such as edge detection algorithms). Image processing software (such as Matrix Lab) is used to preprocess the acquired images, including noise reduction and contrast enhancement, to improve the accuracy of subsequent analysis. The extracted shape contour curves of each precision sheet metal are then compared with the reference shape contour curves pre-stored in the control database. A comparison is performed, and the overlap rate between the two is calculated, which is the ratio of the overlapping area between the shape contour curve and the reference shape contour curve to the total area of ​​the reference contour. If the overlap rate of all precision sheet metal shape contour curves and the reference shape contour curves reaches the pre-set limit overlap rate in the control database, it is determined that each precision sheet metal will be processed by a high-precision laser composite processing machine. If the overlap rate of any precision sheet metal shape contour curve and the reference shape contour curve does not reach the limit overlap rate, an overlay anomaly warning is triggered. The warning can be implemented through sound alarms, visual prompts (such as flashing indicator lights), or sending notifications to the management platform. At the same time, the time, location, and detailed information of the overlay anomaly event are recorded for subsequent analysis and processing. The aforementioned limit overlap rate refers to the minimum allowable overlap rate.

[0039] The optimization and adjustment module is used to process precision sheet metal using a high-precision laser composite machining center, acquire and evaluate the processing parameters of the high-precision laser composite machining center, and thereby optimize, control and compensate for the processing process of the high-precision laser composite machining center.

[0040] In one specific embodiment, the present invention achieves dynamic optimization of the high-precision laser composite machining process by precisely matching the processing quality deviation factor with the basic compensation parameters through a compensation adjustment mechanism. It automatically calculates and sorts dynamic differences, prioritizes key deviation factors for targeted compensation, effectively improving processing accuracy and stability. At the same time, it adjusts the detection cycle time based on the deviation factor, further enhancing the real-time performance and response speed of quality monitoring and reducing the generation of defective products. This mechanism not only improves processing efficiency and material utilization but also reduces the cost of manual intervention, ensuring the continuous stability of precision sheet metal processing quality.

[0041] Specifically, the optimization control and compensation adjustment of the processing process of the high-precision laser composite processing machine refers to: evaluating the processing process parameters of the high-precision laser composite processing machine within the inspection cycle, obtaining the processing quality index of the high-precision laser composite processing machine within the inspection cycle, and comparing it with the processing quality threshold; the aforementioned processing quality threshold represents the minimum value allowed by the processing quality index stored in the control database.

[0042] If the processing quality index of the high-precision laser composite machining machine is greater than or equal to the processing quality threshold within the detection cycle, then the processing process of the high-precision laser composite machining machine is optimized and controlled. Specifically, the optimization and control process is as follows: The processing quality change rate of the high-precision laser composite machining machine within the detection cycle is obtained and compared with the defined processing quality change rate. If the processing quality change rate of the high-precision laser composite machining machine within the detection cycle is less than the defined processing quality change rate, then a speed reduction coefficient is matched based on the processing quality change rate, and the cutting speed of the high-precision laser composite machining machine is reduced and optimized in the next adjacent detection cycle. If the processing quality change rate of the high-precision laser composite machining machine within the detection cycle is greater than or equal to the defined processing quality change rate, then the high-precision laser composite machining machine is not optimized in the next adjacent detection cycle. The cutting speed is reduced and optimized during the next adjacent detection cycle. The aforementioned processing quality change rate indicates the degree of change in the processing quality index within the detection cycle. Specifically, it is calculated by subtracting the processing quality index of the high-precision laser composite machining machine at the beginning of the detection cycle from the processing quality index at the end of the detection cycle, and then dividing the result by the processing quality index at the beginning of the detection cycle. This final processing quality change rate is the benchmark parameter used to define the fluctuation trend of the processing quality index. It is extracted from the control database. If the processing quality change rate of the high-precision laser composite machining machine within the detection cycle is less than the benchmark processing quality change rate, it indicates that the processing quality index shows a negative trend during that period. To maintain the stability of the laser control process, the cutting speed parameter needs to be adjusted downwards, i.e., the quality fluctuation is compensated by reducing the cutting speed, thereby ensuring the dynamic stability of the processing system.

[0043] The speed reduction coefficient represents the percentage reduction in the cutting speed of the high-precision laser composite machining machine. The specific matching process is as follows: the control database stores a mapping table of processing quality change rate and speed reduction coefficient. The processing quality change rate of the high-precision laser composite machining machine within the detection cycle is directly queried in the control database to obtain the corresponding speed reduction coefficient. This coefficient is then multiplied with the cutting speed of the high-precision laser composite machining machine in the next adjacent detection cycle. The product result is the cutting speed after the reduction and optimization control.

[0044] Specifically, the processing quality index of the high-precision laser composite processing machine within the inspection cycle is analyzed as follows: The processing parameters of the high-precision laser composite processing machine within the inspection cycle include the average laser power density, the average laser beam divergence angle, and the average focal diameter. It should be noted that laser power density represents the average laser energy obtained per unit area of ​​precision sheet metal. The average laser power density is obtained by averaging the real-time laser power density of the high-precision laser composite processing machine within the inspection cycle. The laser power density can be monitored by a laser power meter; the laser beam divergence angle, which quantifies the ratio of the rate at which the laser beam diameter expands with increasing propagation distance to the propagation distance, can be detected using a CCD camera. The average laser beam divergence angle is obtained by averaging the real-time laser beam divergence angle of the high-precision laser composite processing machine during the detection period; the focal diameter represents the minimum spot size of the laser beam after passing through the focusing system. The focal spot is scanned using a CCD camera, and the spot diameter is determined by an edge detection algorithm (Canny operator). The average focal diameter is obtained by averaging the real-time focal diameter of the high-precision laser composite processing machine during the detection period.

[0045] The influence of the ratio between the quantified average laser power density and the defined average laser power density, the influence of the ratio between the average laser beam divergence angle and the defined average laser beam divergence angle, and the influence of the ratio between the average focal diameter and the defined average focal diameter on the processing quality index are determined, and these influences are coupled together to obtain the processing quality index.

[0046] It should be explained that as the cumulative operating time of a high-precision laser composite processing machine increases, its key performance parameters will show a gradual decline trend. Specifically, the cumulative thermal effects of the optical system will lead to a decrease in laser power output efficiency. If the laser beam divergence angle is too large, the energy will be dispersed during transmission, reducing the actual power density acting on the material. The size of the average focal diameter directly determines the concentration of laser energy; the smaller the focal diameter, the more concentrated the energy, and the higher the peak power density at the focal point. If the divergence angle increases or the focal diameter expands, the actual power density will decrease, leading to a reduction in processing depth accuracy and consequently a decrease in the processing quality index.

[0047] The processing quality index of a high-precision laser composite machining machine within its inspection cycle is used to quantify the processing depth accuracy of the high-precision laser composite machining machine within that inspection cycle. The specific expression is as follows:

[0048]

[0049] In the formula, HG(FTU, DER, KDR) is the processing quality index of the high-precision laser composite machining machine during the inspection period, FTU is the average laser power density of the high-precision laser composite machining machine during the inspection period, J_FTU is the preset defined average laser power density in the control database, DER is the average laser beam divergence angle of the high-precision laser composite machining machine during the inspection period, J_DER is the preset defined average laser beam divergence angle in the control database, KDR is the average focal diameter of the high-precision laser composite machining machine during the inspection period, J_KDR is the preset defined average focal diameter in the control database, hi1 is the preset average laser power density weighting number in the control database, hi2 is the preset average laser beam divergence angle weighting number in the control database, hi3 is the preset average focal diameter weighting number in the control database, and s is a constant.

[0050] The above definition of average laser power density represents the minimum allowable value of average laser power density; the above definition of average laser beam divergence angle represents the maximum allowable value of average laser beam divergence angle; the above definition of average focal diameter represents the maximum allowable value of average focal diameter.

[0051] The aforementioned average laser power density weighting is used to quantify the influence of the average laser power density unit value on the processing quality index; the aforementioned average laser beam divergence angle weighting is used to quantify the influence of the average laser beam divergence angle unit value on the processing quality index; the aforementioned average focal diameter weighting is used to quantify the influence of the average focal diameter unit value on the processing quality index. The control database stores the correspondence between the average laser power density, average laser beam divergence angle, and average focal diameter and their corresponding weightings. The average laser power density, average laser beam divergence angle, and average focal diameter can be input into the control database, and the control database can retrieve the average laser power density weighting, average laser beam divergence angle weighting, and average focal diameter weighting, all of which have values ​​between 0 and 1.

[0052] Furthermore, the processing process of the high-precision laser composite machining machine is optimized, controlled, and compensated. Specifically, if the processing quality index of the high-precision laser composite machining machine is less than the processing quality threshold within the detection cycle, compensation adjustments are made. Specifically, the basic compensation depth and basic compensation laser intensity corresponding to each processing quality deviation factor are stored in the control database. The processing quality deviation factor of the high-precision laser composite machining machine within the detection cycle is obtained, and its absolute difference is sequentially processed with each processing quality deviation factor stored in the control database to obtain dynamic differences. These dynamic differences are then sorted in ascending order, and the processing quality deviation factor corresponding to the top-ranked dynamic difference is extracted. The basic compensation depth and basic compensation laser intensity corresponding to this processing quality deviation factor are marked as the basic compensation depth and basic compensation laser intensity of the high-precision laser composite machining machine. Simultaneously, based on the top-ranked dynamic difference, the basic compensation depth and basic compensation laser intensity of the high-precision laser composite machining machine are corrected to obtain the target compensation depth and target compensation laser intensity of the high-precision laser composite machining machine. This process optimizes the high-precision laser composite machining process. The machining process of the machine tool is compensated and adjusted; the aforementioned machining quality deviation factor is used to quantify the degree of deviation between the machining quality threshold and the machining quality index. Subtracting the machining quality index of the high-precision laser composite machining machine within the detection cycle from the machining quality threshold yields the machining quality deviation factor of the high-precision laser composite machining machine within the detection cycle; the aforementioned dynamic difference represents the absolute value of the difference between the machining quality deviation factor of the high-precision laser composite machining machine within the detection cycle and the machining quality deviation factor stored in the control database; the aforementioned correction of the basic compensation depth and basic compensation laser intensity of the high-precision laser composite machining machine based on the first-ranked dynamic difference refers to obtaining the difference processing result before the absolute value of the dynamic difference based on the first-ranked dynamic difference, directly querying the corresponding compensation depth correction coefficient and compensation laser intensity correction coefficient from the control database, and multiplying the compensation depth correction coefficient by the basic compensation depth and the compensation laser intensity correction coefficient by the basic compensation laser intensity to obtain the target compensation depth and target compensation laser intensity. The compensation depth correction coefficient represents the proportion of correction to the basic compensation depth, and the compensation laser intensity correction coefficient represents the proportion of correction to the basic compensation laser intensity.

[0053] It should be explained that by using a sorting strategy of small to large differences, the correction direction of the compensation parameters (depth and laser intensity) is always aligned with the dimension of the most significant deviation under the current operating conditions, thus avoiding compensation failure caused by multi-factor coupling interference.

[0054] Simultaneously, based on the processing quality deviation factor of the high-precision laser composite processing machine within the detection cycle, the duration corresponding to the detection cycle is reduced. The specific adjustment process is as follows: the control database stores a mapping table of processing quality deviation factor and duration reduction coefficient. The processing quality deviation factor of the high-precision laser composite processing machine within the detection cycle is directly queried in the control database to obtain the corresponding duration reduction coefficient. This coefficient is then multiplied with the duration corresponding to the detection cycle. The result is the duration corresponding to the detection cycle after the reduction adjustment. The duration reduction coefficient represents the proportion of the duration corresponding to the detection cycle that is reduced.

[0055] The processing early warning module is used to monitor the compensation and adjustment process of the high-precision laser composite machining machine and determine whether to issue an early warning for the processing process of the high-precision laser composite machining machine.

[0056] Specifically, the determination of whether to issue an early warning for the processing of the high-precision laser composite machining machine involves the following process: monitoring the compensation adjustment process of the high-precision laser composite machining machine, analyzing the compensation optimization coefficient in real time, and comparing it with the compensation optimization threshold. If the compensation optimization coefficient is greater than or equal to the compensation optimization threshold, it is determined that no early warning will be issued for the processing of the high-precision laser composite machining machine. Simultaneously, based on the target compensation depth and target compensation laser intensity of the high-precision laser composite machining machine, the laser depth and laser intensity in the next adjacent detection cycle are predicted and configured. Based on the compensation optimization coefficient, the cutting speed of the high-precision laser composite machining machine in the next adjacent detection cycle is increased and optimized. The aforementioned compensation optimization threshold represents... The minimum allowable value of the compensation optimization coefficient is extracted from the control database. The above-mentioned expected configuration refers to adjusting the laser parameters of the high-precision laser composite processing machine in the next adjacent detection cycle. Specifically, it involves increasing the target compensation depth based on the original laser depth and simultaneously superimposing the target compensation laser intensity on the original laser intensity. The above-mentioned optimization of increasing the cutting speed of the high-precision laser composite processing machine in the next adjacent detection cycle specifically refers to: storing a mapping table of compensation optimization coefficient and speed increase coefficient in the control database; directly querying the corresponding speed increase coefficient from the control database based on the compensation optimization coefficient of the high-precision laser composite processing machine; and multiplying it with the current cutting speed of the high-precision laser composite processing machine. The result is the increased and optimized cutting speed, where the speed increase coefficient represents the proportional value of increasing the cutting speed.

[0057] If the compensation optimization coefficient of the high-precision laser composite processing machine is less than the compensation optimization threshold, an early warning will be issued for the processing process of the high-precision laser composite processing machine. The specific warning process is as follows: Obtain the compliance index of the precision sheet metal and compare it with the compliance threshold. If the compliance index of the precision sheet metal is greater than or equal to the compliance threshold, the compensation optimization threshold will be reduced based on the compliance index. If the compliance index of the precision sheet metal is less than the compliance threshold, the anomaly level of the precision sheet metal will be matched based on the compliance index, thereby issuing an early warning for the processing process of the high-precision laser composite processing machine. Simultaneously, the cutting speed of the high-precision laser composite processing machine will be adjusted. The minimum cutting speed is defined as follows: The compliance threshold mentioned above represents the minimum value allowed by the compliance index, extracted from the control database; The minimum cutting speed is determined by technical personnel; The reduction optimization of the compensation optimization threshold based on the compliance index of precision sheet metal refers to the control database storing the compliance index minus the compensation optimization threshold reduction coefficient. By directly querying the compliance index of precision sheet metal in the control database, the corresponding compensation optimization threshold reduction coefficient can be obtained, and then multiplied with the compensation optimization threshold. The result is the reduced compensation optimization threshold, where the compensation optimization threshold reduction coefficient represents the proportion by which the compensation optimization threshold is reduced.

[0058] The above-mentioned precision sheet metal compliance index matching to determine the precision sheet metal anomaly level refers to the control database storing the compliance index and the precision sheet metal anomaly level. By directly querying the precision sheet metal compliance index in the control database, the corresponding precision sheet metal anomaly level can be obtained, thereby providing early warning for the processing of the high-precision laser composite processing machine. Specifically, the early warning refers to issuing a corresponding differentiated warning sound based on the different precision sheet metal anomaly levels obtained by matching, thereby achieving accurate warning for the processing of the high-precision laser composite processing machine.

[0059] It should be explained that when the compensation optimization coefficient of the high-precision laser composite processing machine is lower than the preset compensation optimization threshold, and the compliance index of the precision sheet metal reaches or exceeds the predetermined compliance threshold, it indicates that the current processing is in compliance. In this case, in order to achieve more precise and detailed control over the actual processing, it is necessary to reduce the compensation optimization threshold.

[0060] Furthermore, the compensation optimization coefficients of the high-precision laser composite machining machine are analyzed as follows: The processing quality index growth rate, laser intensity deviation, and laser depth deviation of the high-precision laser composite machining machine are obtained. The processing quality index growth rate represents the increase in the real-time monitored processing quality index relative to the processing quality index of the high-precision laser composite machining machine within the detection period. This can be obtained by subtracting the real-time monitored processing quality index from the processing quality index of the high-precision laser composite machining machine within the detection period, and then dividing the result by the processing quality index of the high-precision laser composite machining machine within the detection period. The laser intensity deviation value characterizes the degree of deviation between the preset laser intensity and the actual laser output intensity in the high-precision laser composite machining machine, reflecting... The stability of the laser power control system can be determined by subtracting the actual laser output intensity from the preset laser intensity in the high-precision laser composite processing machine to obtain the laser intensity deviation value. The larger the difference, the more likely the laser intensity is weakened due to factors such as laser aging, power supply instability, or optical component contamination. The actual laser output intensity can be measured using a laser power meter. The laser depth deviation value represents the degree of deviation between the preset laser processing depth and the actual laser processing depth in the high-precision laser composite processing machine. It reflects the efficiency of laser-material interaction, the accuracy of the motion control system, and the rationality of the process parameter settings. The laser depth deviation value can be obtained by subtracting the actual laser processing depth from the preset laser processing depth in the high-precision laser composite processing machine. The larger the laser depth deviation value, the worse the processing consistency. The actual laser processing depth can be obtained through laser interferometry.

[0061] The influence of the quantitative processing quality index growth rate and the defined processing quality index growth rate on the compensation optimization coefficient, the influence of the laser intensity deviation value and the defined laser intensity deviation value on the compensation optimization coefficient, and the influence of the laser depth deviation value and the defined laser depth deviation value on the compensation optimization coefficient are summarized to obtain the compensation optimization coefficient.

[0062] It's important to explain that the laser intensity deviation reflects the degree of deviation between the actual laser intensity and the set value. If the deviation is too large, it will lead to uneven heating of the material, thus affecting the consistency of the processing depth. The laser depth deviation, on the other hand, directly reflects the difference between the actual processing depth and the expected depth. Its magnitude is not only affected by the laser intensity deviation but also closely related to other process parameters. The processing quality index growth rate, as a key indicator for measuring the speed of processing quality improvement, often depends on the precise control of laser intensity and depth. When the laser intensity deviation or depth deviation increases, the processing quality index growth rate may decrease, indicating that processing quality improvement is hindered.

[0063] The compensation optimization coefficient of the high-precision laser composite machining machine is used to quantify the degree of compensation optimization of the high-precision laser composite machining machine. The specific expression is as follows:

[0064]

[0065] In the formula, JO is the compensation optimization coefficient of the high-precision laser composite machining machine, HGZ is the processing quality index growth rate of the high-precision laser composite machining machine, J_HGZ is the preset defined processing quality index growth rate in the control database, HP is the laser intensity deviation value of the high-precision laser composite machining machine, J_HP is the preset defined laser intensity deviation value in the control database, GP is the laser depth deviation value of the high-precision laser composite machining machine, J_GP is the preset defined laser depth deviation value in the control database, qw1 is the preset processing quality index growth rate weight in the control database, qw2 is the preset laser intensity deviation value weight in the control database, qw3 is the preset laser depth deviation value weight in the control database, and c is a constant.

[0066] The above definition of the processing quality index growth rate represents the minimum allowable value of the processing quality index growth rate; the above definition of the laser depth deviation value represents the maximum allowable value of the laser depth deviation value; the above definition of the laser depth deviation value represents the maximum allowable value of the laser depth deviation value.

[0067] The aforementioned processing quality index growth rate weight is used to quantify the influence of the unit value of the processing quality index growth rate on the compensation optimization coefficient; the aforementioned laser intensity deviation value weight is used to quantify the influence of the unit value of the laser intensity deviation value on the compensation optimization coefficient; the aforementioned laser depth deviation value weight is used to quantify the influence of the unit value of the laser depth deviation value on the compensation optimization coefficient; the control database stores the correspondence between the processing quality index growth rate, laser intensity deviation value, and laser depth deviation value and their corresponding weights. For example, by inputting the processing quality index growth rate, laser intensity deviation value, and laser depth deviation value into the control database, the control database can retrieve the processing quality index growth rate weight, laser intensity deviation value weight, and laser depth deviation value weight, all of which have a value range between 0 and 1.

[0068] The pre-adjustment module is used to perform data analysis on the finished precision sheet metal, thereby pre-adjusting the processing of the high-precision laser composite processing machine.

[0069] In one specific embodiment, the present invention achieves intelligent early warning and dynamic optimization of the high-precision laser composite processing machine by real-time monitoring and compensation optimization coefficients. When the coefficients meet the standards, the system automatically configures the laser parameters for the next cycle and increases the cutting speed to ensure processing efficiency and quality. If the coefficients are insufficient, an early warning is quickly activated, and the threshold is adjusted or the abnormal level is matched in conjunction with the precision sheet metal compliance index. At the same time, the cutting speed is reduced to avoid the generation of defective products. This mechanism not only enhances the controllability and stability of the processing process, but also reduces quality risks through preventive adjustments, improves production efficiency and material utilization, and ensures the high precision and consistency of precision sheet metal processing.

[0070] Specifically, the pre-adjustment of the processing process of the high-precision laser composite processing machine involves: obtaining the compliance index of the finished precision sheet metal, performing difference processing on it and comparing the result with the compliance threshold, and finally obtaining the compliance margin of the precision sheet metal. This margin is then compared with the defined compliance margin. The defined compliance margin is a value extracted from the control database used to determine whether the processing process of the high-precision laser composite processing machine should be pre-adjusted. This compliance margin measures the safety margin of the finished precision sheet metal in terms of compliance, reflecting the degree of deviation between the current processing status and the compliance threshold.

[0071] It should be noted that the compliance index of the finished precision sheet metal is greater than or equal to the compliance threshold.

[0072] If the compliance margin of the precision sheet metal is greater than or equal to the defined compliance margin, no pre-adjustment is performed on the processing of the high-precision laser composite processing machine. If the compliance margin of the precision sheet metal is less than the defined compliance margin, the processing of the high-precision laser composite processing machine is pre-adjusted. The specific pre-adjustment process is as follows: based on the compliance margin of the precision sheet metal, the cutting speed of the high-precision laser composite processing machine is preset to be reduced, and the data acquisition frequency of the high-precision laser composite processing machine is preset to be increased. Specifically, this refers to the control database storing a compliance margin-speed pre-reduction coefficient mapping table and a compliance margin-acquisition frequency pre-increase coefficient mapping table, which are directly obtained from... By querying the precision sheet metal compliance margin in the control database, the corresponding speed pre-reduction coefficient and acquisition frequency pre-increase coefficient can be obtained. Multiplying the speed pre-reduction coefficient with the current cutting speed yields the preset decelerated cutting speed. Multiplying the acquisition frequency pre-increase coefficient with the data acquisition frequency of the high-precision laser composite processing machine yields the preset increased data acquisition frequency of the high-precision laser composite processing machine. The speed pre-reduction coefficient represents the proportion of the cutting speed reduction adjustment, and the acquisition frequency pre-increase coefficient represents the proportion of the data acquisition frequency increase adjustment.

[0073] Furthermore, the compliance index of precision sheet metal is analyzed as follows: The dimensional overlap of the precision sheet metal processing and the hole position deviation factor are obtained. Simultaneously, the average processing quality index and average compensation optimization coefficient of the high-precision laser composite machining center during the precision sheet metal processing are also obtained. The aforementioned dimensional overlap describes the degree of deviation between the actual geometric contour of the precision sheet metal after processing and the reference geometric contour designed by the technician, reflecting the comprehensive accuracy of dimensional control during processing. The actual geometric contour of the precision sheet metal after processing is captured by a CCD camera and analyzed using data processing software (such as…). The matrix laboratory compares the actual geometric contour of the precision sheet metal after machining with the reference geometric contour to obtain the machining dimension overlap. The aforementioned hole position deviation factor represents the overall deviation between the center position of each hole in the precision sheet metal and the center position of each hole designed by the technician. Hole position images are acquired by a high-resolution industrial camera, and the hole position area is extracted after preprocessing. The actual center coordinates of each hole position are accurately calculated by using a circle fitting algorithm combined with sub-pixel optimization technology. The actual coordinates are compared with the design coordinates to calculate the Euclidean distance deviation of each hole position, and then accumulated to obtain the hole position deviation factor.

[0074] The compliance index is derived by introducing influence values ​​to quantify the influence of the ratio between the machining dimension overlap degree and the defined machining dimension overlap degree on the compliance index, the influence of the ratio between the hole position deviation factor and the defined hole position deviation factor on the compliance index, the influence of the average machining quality index on the compliance index, and the influence of the average compensation optimization coefficient on the compliance index. The compliance index is then obtained by coupling the influence degrees of each.

[0075] It should be explained that the machining dimension overlap reflects the degree of conformity between the actual dimensions of the sheet metal part and the design dimensions, and its level is directly constrained by the machining accuracy of the high-precision laser composite machining machine. The hole position deviation factor measures the accuracy of the hole position, which also depends on the stability of laser processing. The average machining quality index of the high-precision laser composite machining machine is a comprehensive quantitative indicator of the overall performance of the machining process. Its improvement means enhanced machining accuracy and stability, which in turn promotes the improvement of machining dimension overlap and hole position deviation factor. The average compensation optimization coefficient reflects the system's ability to dynamically adjust machining deviations. Its optimization can reduce machining errors and improve the machining quality index, thereby indirectly improving machining dimension overlap and hole position deviation factor. The synergistic optimization of these four parameters will ultimately significantly improve the compliance index of precision sheet metal, ensuring that the product meets design requirements and quality standards.

[0076] The compliance index for precision sheet metal represents the degree of compliance in the processing of precision sheet metal, and its specific expression is as follows:

[0077]

[0078] In the formula, FE is the compliance index of precision sheet metal, CY is the machining dimension overlap of precision sheet metal, J_CY is the preset defined machining dimension overlap in the control database, OD is the hole position deviation factor of precision sheet metal, J_OD is the preset defined hole position deviation factor in the control database, AV_HG is the average machining quality index of the high-precision laser composite machining machine, AV_JO is the average compensation optimization coefficient of the high-precision laser composite machining machine, zc1 is the preset machining dimension overlap influence value in the control database, zc2 is the preset hole position deviation factor influence value in the control database, zc3 is the preset average machining quality index influence value in the control database, and zc4 is the preset average compensation optimization coefficient influence value in the control database.

[0079] The above definition of machining dimension overlap indicates the minimum allowable value of machining dimension overlap; the above definition of hole position deviation factor indicates the maximum allowable value of hole position deviation factor.

[0080] The aforementioned impact values ​​for machining dimension overlap are used to quantify the influence of the unit value of machining dimension overlap on the compliance index; the aforementioned impact values ​​for hole position deviation factors are used to quantify the influence of the unit value of hole position deviation factors on the compliance index; the aforementioned impact values ​​for the average machining quality index are used to quantify the influence of the unit value of the average machining quality index on the compliance index; and the aforementioned impact values ​​for the average compensation optimization coefficient are used to quantify the influence of the unit value of the average compensation optimization coefficient on the compliance index. The control database stores the correspondence between machining dimension overlap, hole position deviation factors, average machining quality index, and average compensation optimization coefficient and their corresponding impact values. For example, by inputting machining dimension overlap, hole position deviation factors, average machining quality index, and average compensation optimization coefficient into the control database, the control database can retrieve the impact values ​​for machining dimension overlap, hole position deviation factors, average machining quality index, and average compensation optimization coefficient, all of which range from 0 to 1.

[0081] Figure 3This is a schematic diagram illustrating the processing start determination of the present invention. First, it is determined whether precision sheet metal exists. If not, the processing is directly determined to fail and the process ends. If precision sheet metal exists, the processing quantity type is further determined. If it is the first processing quantity, the placement area is checked for correctness. If correct, the processing is determined to pass and the process ends. If incorrect, a reference hole verification is performed. If the verification passes, the processing is determined to pass and the process ends. If the verification fails, a single-position anomaly warning is issued and the process ends. If the processing quantity type is the second processing quantity, it is checked whether all placement areas of each precision sheet metal are correct. If all are correct, an overlay determination is performed. If it is determined not to overlay, the processing is determined to pass and the process ends. If it is determined to overlay, an overlay anomaly warning is issued and the process ends. If the placement areas are not all correct, an overlay determination is performed again. If it is determined to overlay, an overlay anomaly warning is issued and the process ends. If it is determined not to overlay, a reference hole verification is performed on the precision sheet metal to be tested. If the verification passes, the processing is determined to pass and the process ends. If the verification fails, a multi-position anomaly warning is issued and the process ends.

[0082] Figure 4 This is a schematic diagram of the processing control steps of the present invention. First, the processing quality is evaluated by analyzing the processing parameters of the high-precision laser composite processing machine to determine whether the current processing quality meets the standard. If it meets the standard, the process enters the "optimization control" stage, where parameters such as the cutting speed are adjusted to maintain or improve the processing quality. If it does not meet the standard, the process enters the "compensation adjustment" stage, where compensation parameters are corrected to improve the processing quality. Subsequently, after compensation adjustment, the "compensation effect" needs to be monitored, and the adjustment effectiveness is evaluated by calculating indicators such as the compensation optimization coefficient. Next, the monitoring results are used to determine whether the compensation effect meets the standard, which is a key node for determining the direction of subsequent processing. If the compensation effect does not meet the standard, an "early warning and processing" is initiated, and a decision is made on whether to issue an early warning and take corresponding measures based on the compliance status of the precision sheet metal, ultimately completing the entire processing control flow.

[0083] In one specific embodiment, the present invention provides a precision sheet metal processing control system, method, and high-precision laser composite processing machine. The processing judgment module, optimization adjustment module, processing early warning module, and processing pre-adjustment module work synergistically to construct an intelligent, closed-loop quality assurance system for precision sheet metal processing using the high-precision laser composite processing machine. The optimization adjustment module acquires processing parameters in real time and dynamically adjusts them to ensure precise and controllable processing, significantly improving processing accuracy and efficiency. The processing early warning module monitors the compensation adjustment effect in real time, promptly warning of potential risks, avoiding batch quality accidents, and ensuring production stability. The processing pre-adjustment module analyzes finished product data to predict process problems in advance and optimize parameters, achieving preventative maintenance. The combination of these three modules not only reduces the defect rate but also improves equipment utilization and response speed, making the processing more efficient, stable, and reliable, thus helping enterprises achieve high-quality and high-efficiency production of precision sheet metal.

[0084] Reference Figure 2 As shown, the second aspect of the present invention provides a precision sheet metal processing control method for a high-precision laser composite processing machine, comprising: Step 1, determining whether to process the precision sheet metal using a high-precision laser composite processing machine by acquiring and analyzing position image parameters of the precision sheet metal; Step 2, processing the precision sheet metal using the high-precision laser composite processing machine, acquiring and evaluating the processing parameters of the high-precision laser composite processing machine, thereby optimizing and compensating for the processing process of the high-precision laser composite processing machine; Step 3, monitoring the compensation and adjustment process of the high-precision laser composite processing machine, and determining whether to issue an early warning for the processing process of the high-precision laser composite processing machine; Step 4, performing data analysis on the processed precision sheet metal, thereby pre-adjusting the processing process of the high-precision laser composite processing machine.

[0085] A third aspect of the present invention provides a high-precision laser composite processing machine for use in precision sheet metal processing control systems, such as high-precision laser composite processing machines. The machine includes: a laser cutting module for automatic focusing and automatic cutting height following, adjusting the laser focus position, cutting height, and laser intensity in real time according to the different thicknesses of the processed material and processing requirements; a vision inspection module for using CCD camera technology to perform high-precision vision inspection on the processed precision sheet metal, thereby obtaining processing information (such as processing dimensions); and a control module for adjusting and controlling the processing strategy.

[0086] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A precision sheet metal processing control system for a high-precision laser composite processing machine, characterized in that, include: The processing determination module is used to determine whether to process the precision sheet metal by collecting and analyzing the position image parameters of the precision sheet metal; The optimization and adjustment module is used to process precision sheet metal using a high-precision laser composite processing machine, acquire and evaluate the processing parameters of the high-precision laser composite processing machine, and thereby optimize, control and compensate for the processing process of the high-precision laser composite processing machine. The optimization control and compensation adjustment of the processing process of the high-precision laser composite processing machine are as follows: If the processing quality index of the high-precision laser composite processing machine is less than the processing quality threshold within the inspection cycle, then the processing process of the high-precision laser composite processing machine will be compensated and adjusted. The specific compensation and adjustment process is as follows: The control database stores the basic compensation depth and basic compensation laser intensity corresponding to each processing quality deviation factor. The processing quality deviation factors of the high-precision laser composite machining machine within the detection cycle are obtained, and their absolute differences are sequentially processed with those stored in the control database to obtain dynamic differences. These dynamic differences are then sorted in ascending order, and the processing quality deviation factor corresponding to the top-ranked dynamic difference is extracted. The basic compensation depth and basic compensation laser intensity corresponding to this processing quality deviation factor are marked as the basic compensation depth and basic compensation laser intensity of the high-precision laser composite machining machine. Simultaneously, based on the top-ranked dynamic difference, the basic compensation depth and basic compensation laser intensity of the high-precision laser composite machining machine are corrected to obtain the target compensation depth and target compensation laser intensity, thereby compensating and adjusting the processing process of the high-precision laser composite machining machine. At the same time, based on the processing quality deviation factor of the high-precision laser composite processing machine within the detection cycle, the duration of the detection cycle is adjusted to be reduced. The processing early warning module is used to monitor the compensation and adjustment process of the high-precision laser composite processing machine and determine whether to issue an early warning for the processing process of the high-precision laser composite processing machine. The pre-adjustment module is used to perform data analysis on the finished precision sheet metal, thereby pre-adjusting the processing of the high-precision laser composite processing machine.

2. The precision sheet metal processing control system for a high-precision laser composite processing machine according to claim 1, characterized in that: The specific determination process for whether precision sheet metal is processed by a high-precision laser composite processing machine is as follows: If precision sheet metal exists, the current processing count of the precision sheet metal is obtained. If the current processing count of the precision sheet metal is the first processing count, it is determined whether the placement area of ​​the current precision sheet metal belongs to the reference placement area. If the placement area of ​​the current precision sheet metal belongs to the reference placement area, it is determined that the precision sheet metal will be processed by a high-precision laser composite processing machine. If the placement area of ​​the current precision sheet metal does not belong to the reference placement area, the reference holes of the precision sheet metal are obtained and analyzed cyclically according to the preset trajectory. If the result of obtaining and analyzing the reference holes of the precision sheet metal is not the first result within the defined number of cycles, it is determined that the precision sheet metal will not be processed by the high-precision laser composite processing machine, and a single position abnormality warning is issued. If the result of obtaining and analyzing the reference holes of the precision sheet metal is the first result within the defined number of cycles, it is determined that the precision sheet metal will be processed by the high-precision laser composite processing machine. If the current number of precision sheet metal pieces processed is the second processing number, it is determined whether the placement area of ​​each precision sheet metal piece belongs to the reference placement area. If the placement area of ​​each precision sheet metal piece belongs to the reference placement area, a precision sheet metal stacking determination is performed to determine whether each precision sheet metal piece should be processed by the high-precision laser composite processing machine. If the precision sheet metal pieces do not stack, it is determined that each precision sheet metal piece should be processed by the high-precision laser composite processing machine. If the precision sheet metal pieces stack, it is determined that each precision sheet metal piece should not be processed by the high-precision laser composite processing machine, and a stacking anomaly warning is issued. If the placement areas of each precision sheet metal are not entirely within the reference placement area, a precision sheet metal overlay determination is performed to determine whether to process each precision sheet metal using a high-precision laser composite processing machine. If the precision sheet metals are overlaid, it is determined that they will not be processed by the high-precision laser composite processing machine, and an overlay anomaly warning is issued. If the precision sheet metals are not overlaid, the precision sheet metals whose placement areas are not entirely within the reference placement area are marked as precision sheet metals to be tested. The reference holes of each precision sheet metal to be tested are obtained and analyzed cyclically according to a preset trajectory. If the results of obtaining and analyzing the reference holes of each precision sheet metal to be tested within the defined number of cycles are not the second result, it is determined that they will not be processed by the high-precision laser composite processing machine, and a multi-position anomaly warning is issued. If the results of obtaining and analyzing the reference holes of each precision sheet metal to be tested within the defined number of cycles are the second result, it is determined that they will be processed by the high-precision laser composite processing machine.

3. The precision sheet metal processing control system for a high-precision laser composite processing machine according to claim 2, characterized in that: The specific process for determining the precision sheet metal stacking is as follows: Obtain the shape contour curve of each precision sheet metal and compare it with the reference shape contour curve. If the overlap rate of the shape contour curve of each precision sheet metal and the reference shape contour curve is the defined overlap rate, it is determined that the precision sheet metals are not superimposed. If the overlap rate between the shape profile curve of a certain precision sheet metal and the reference shape profile curve is not the defined overlap rate, then it is determined that the precision sheet metals are superimposed.

4. The precision sheet metal processing control system for a high-precision laser composite processing machine according to claim 1, characterized in that: The optimization, control, and compensation adjustment of the processing process of the high-precision laser composite processing machine specifically refers to: The processing parameters of the high-precision laser composite processing machine are evaluated during the inspection cycle to obtain the processing quality index of the high-precision laser composite processing machine during the inspection cycle, and compared with the processing quality threshold. If the processing quality index of the high-precision laser composite machining machine is greater than or equal to the processing quality threshold within the detection cycle, the processing process of the high-precision laser composite machining machine will be optimized and controlled. The specific optimization and control process is as follows: obtain the processing quality change rate of the high-precision laser composite machining machine within the detection cycle and compare it with the defined processing quality change rate. If the processing quality change rate of the high-precision laser composite machining machine within the detection cycle is less than the defined processing quality change rate, then a speed reduction coefficient will be matched based on the processing quality change rate, and the cutting speed of the high-precision laser composite machining machine in the next adjacent detection cycle will be reduced and optimized. If the processing quality change rate of the high-precision laser composite machining machine within the detection cycle is greater than or equal to the defined processing quality change rate, then the cutting speed of the high-precision laser composite machining machine in the next adjacent detection cycle will not be reduced and optimized.

5. The precision sheet metal processing control system for a high-precision laser composite processing machine according to claim 4, characterized in that: The specific analysis process of the processing quality index of the high-precision laser composite processing machine during the detection cycle is as follows: The processing parameters of the high-precision laser composite processing machine during the detection period include the average laser power density, the average laser beam divergence angle, and the average focal diameter of the high-precision laser composite processing machine during the detection period. The influence of the ratio between the quantified average laser power density and the defined average laser power density on the processing quality index, the influence of the ratio between the average laser beam divergence angle and the defined average laser beam divergence angle on the processing quality index, and the influence of the ratio between the average focal diameter and the defined average focal diameter on the processing quality index are calculated, and the influence of each influence is coupled to obtain the processing quality index. The processing quality index of the high-precision laser composite processing machine during the inspection cycle is used to quantify the processing depth accuracy of the high-precision laser composite processing machine during the inspection cycle.

6. The precision sheet metal processing control system for a high-precision laser composite processing machine according to claim 1, characterized in that: The specific determination process for whether to issue an early warning for the processing of the high-precision laser composite processing machine is as follows: The compensation adjustment process of the high-precision laser composite processing machine is monitored, and the compensation optimization coefficient of the high-precision laser composite processing machine is analyzed in real time and compared with the compensation optimization threshold. If the compensation optimization coefficient of the high-precision laser composite processing machine is greater than or equal to the compensation optimization threshold, it is determined that no warning will be issued for the processing process of the high-precision laser composite processing machine. At the same time, based on the target compensation depth and target compensation laser intensity of the high-precision laser composite processing machine, the laser depth and laser intensity of the high-precision laser composite processing machine in the next adjacent detection cycle are predicted and configured. Based on the compensation optimization coefficient of the high-precision laser composite processing machine, the cutting speed of the high-precision laser composite processing machine in the next adjacent detection cycle is increased and optimized. If the compensation optimization coefficient of the high-precision laser composite processing machine is less than the compensation optimization threshold, an early warning will be issued for the processing process of the high-precision laser composite processing machine. The specific early warning process is as follows: obtain the compliance index of the precision sheet metal and compare it with the compliance threshold. If the compliance index of the precision sheet metal is greater than or equal to the compliance threshold, the compensation optimization threshold will be reduced based on the compliance index of the precision sheet metal. If the compliance index of the precision sheet metal is less than the compliance threshold, the abnormal level of the precision sheet metal will be matched based on the compliance index of the precision sheet metal, thereby issuing an early warning for the processing process of the high-precision laser composite processing machine. At the same time, the cutting speed of the high-precision laser composite processing machine will be set to the minimum cutting speed. The compensation optimization coefficients of the high-precision laser composite processing machine are analyzed in the following way: To obtain the processing quality index growth rate, laser intensity deviation value, and laser depth deviation value of the high-precision laser composite processing machine; The influence of the quantitative processing quality index growth rate and the defined processing quality index growth rate on the compensation optimization coefficient, the influence of the laser intensity deviation value and the defined laser intensity deviation value on the compensation optimization coefficient, and the influence of the laser depth deviation value and the defined laser depth deviation value on the compensation optimization coefficient are summarized to obtain the compensation optimization coefficient. The compensation optimization coefficient of the high-precision laser composite processing machine is used to quantify the degree of compensation optimization of the high-precision laser composite processing machine.

7. The precision sheet metal processing control system for a high-precision laser composite processing machine according to claim 1, characterized in that: The pre-adjustment of the processing process of the high-precision laser composite processing machine specifically refers to: Obtain the compliance index of the finished precision sheet metal, perform difference processing with the compliance threshold, and then perform ratio processing with the compliance threshold to finally obtain the compliance margin of the precision sheet metal, which is then compared with the defined compliance margin. If the compliance margin of the precision sheet metal is greater than or equal to the defined compliance margin, no pre-adjustment is performed on the processing of the high-precision laser composite processing machine. If the compliance margin of the precision sheet metal is less than the defined compliance margin, the processing of the high-precision laser composite processing machine is pre-adjusted. The specific pre-adjustment process is as follows: Based on the compliance margin of precision sheet metal, the cutting speed of the high-precision laser composite processing machine is preset to be reduced, while the data acquisition frequency of the high-precision laser composite processing machine is preset to be increased.

8. The precision sheet metal processing control system for a high-precision laser composite processing machine according to claim 7, characterized in that: The compliance index of the precision sheet metal is analyzed in the following way: The machining dimensional overlap of precision sheet metal and the hole position deviation factor of precision sheet metal are obtained. At the same time, the average machining quality index of high-precision laser composite machining machine and the average compensation optimization coefficient of high-precision laser composite machining machine are obtained during the precision sheet metal machining process. The compliance index is derived by introducing influence values ​​to quantify the influence of the proportional relationship between the machining dimension overlap degree and the defined machining dimension overlap degree on the compliance index, the influence of the proportional relationship between the hole position deviation factor and the defined hole position deviation factor on the compliance index, the influence of the average machining quality index on the compliance index, and the influence of the average compensation optimization coefficient on the compliance index. The various influence degrees are then coupled to obtain the compliance index. The compliance index of precision sheet metal represents the degree of compliance in the processing of precision sheet metal.

9. A method for a precision sheet metal processing control system applied to a high-precision laser composite processing machine according to any one of claims 1-8, characterized in that: include: Step 1: This step involves collecting and analyzing positional image parameters of precision sheet metal to determine whether it should be processed by a high-precision laser composite processing machine. Step 2: Process precision sheet metal using a high-precision laser composite processing machine, obtain and evaluate the processing parameters of the high-precision laser composite processing machine, and thus optimize, control and compensate for the processing process of the high-precision laser composite processing machine. Step 3: Monitor the compensation and adjustment process of the high-precision laser composite processing machine and determine whether to issue an early warning for the processing process of the high-precision laser composite processing machine; Step 4: Perform data analysis on the completed precision sheet metal to pre-adjust the processing of the high-precision laser composite processing machine.

10. A high-precision laser composite processing machine employing a precision sheet metal processing control system as described in any one of claims 1-8, characterized in that: include: The laser cutting module is used for automatic focusing and automatic cutting height following. It adjusts the laser focus position, cutting height and laser intensity in real time according to the different thicknesses of the processed materials and processing requirements. The vision inspection module is used to perform high-precision vision inspection on the processed precision sheet metal using CCD camera technology, thereby obtaining the processing information of the precision sheet metal. The control module is used to adjust and control the processing strategy.

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