Intelligent production management process method based on thick plate laser cutting machining

Abstract

The invention relates to the technical field of industrial control, in particular to an intelligent production management process method for thick plate laser cutting in the steel processing industry. The intelligent control system automatically receives and decrypts encrypted production order information of the MES system, contour scanning and automatic verification are conducted on raw material steel plates through a 3D camera, then full-automatic typesetting is conducted based on an intelligent layout algorithm with the core of guaranteeing that finished products fall into the optimal physical and chemical performance interval of raw materials, and finally a cutting program is generated to drive equipment work. And the processing actual performance data is fed back in a closed-loop manner. The method effectively solves the problems that in traditional thick plate machining operation, the intelligent level is low, efficiency is low due to dependence on manual operation, cost is high, and quality consistency is difficult to guarantee. Seamless connection from order placing to completion and reporting is achieved, the production efficiency and the digital level are remarkably improved, feeding errors are effectively eradicated, the typesetting quality is optimized, and the labor cost and the error rate are reduced.

Description

Technical Field

[0001] This invention relates to the field of industrial control technology, specifically to an intelligent production management process method based on thick plate laser cutting. Background Technology

[0002] In the current steel processing industry, especially in the thick plate cutting scenario, core processes rely heavily on human experience and manual operation. Traditionally, production order information from the Manufacturing Execution System (MES) needs to be manually read, understood, and input into the cutting equipment by operators. This reliance on manual information transmission and interpretation is not only inefficient but also prone to errors due to misunderstandings or operational mistakes, hindering precise coordination between upper-level planning and lower-level equipment execution, resulting in low efficiency of the digital system.

[0003] This low level of automation directly leads to persistently high labor costs. Throughout the entire processing chain, from raw material comparison after receiving an order, manual layout, defining the cutting start point and process parameters, to manual reporting after cutting, almost every step requires the full participation of skilled technicians. Taking layout as an example, the layout process for each steel plate takes an average of about 5 minutes and heavily relies on the personal experience of the layout worker.

[0004] Ultimately, the aforementioned issues collectively led to a bottleneck in overall processing efficiency. Manually comparing raw material information is time-consuming and cannot completely prevent loading errors; once an error occurs, it can lead to the scrapping of the entire board and production interruption. Manual layout, as a critical path in production preparation, directly increases equipment waiting time and reduces equipment utilization. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent production management process method based on thick plate laser cutting. By constructing an intelligent control hub connecting the MES system and field equipment, this hub can automatically receive and decrypt production order information, perform contour scanning and automatic verification of the raw steel plate using a 3D camera, and then drive an intelligent nesting algorithm specifically designed for thick plate processing to complete fully automated nesting. It then generates a cutting program to control the equipment to execute the operation, ultimately forming a closed-loop feedback of the cutting results to the MES system. This achieves full automation and intelligence of the entire process, effectively eliminating the errors and nesting discrepancies caused by manual operation. It not only greatly improves production efficiency and digitalization, and reduces labor costs, but also significantly improves the consistency and stability of product quality by ensuring that the finished product falls within the optimal performance range of the raw materials, thus solving the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] An intelligent production management process method based on thick plate laser cutting includes the following steps:

[0008] Step 1: The intelligent control system obtains encrypted production order information from the Manufacturing Execution System (MES) and decrypts the information. The production order information includes at least the raw material steel plate size, material, cutting mode, finished product size, finished product quantity, sampling requirements, sub-plate number, master plate number, rough cutting position, and range of surplus material numbers.

[0009] Step 2: Use a 3D camera to scan the outer contour point cloud of the raw steel plate to obtain the real shape and size information of the steel plate, and automatically compare it with the raw steel plate size transmitted by the MES system.

[0010] Step 3: After the comparison is correct, the automatic layout process is entered. The layout mode is determined according to the board taking method, the available layout space is calculated, the sub-board coarse layout and the addition of sampling blocks are carried out, and the overall position is fine-tuned.

[0011] Step 4: After the layout is completed, the cutting program is automatically generated and sent to the CNC system of the cutting machine. The cutting program includes process parameters that are automatically matched according to the steel grade, thickness and cutting gas.

[0012] Step 5: The cutting machine performs the cutting operation;

[0013] Step 6: After cutting is completed, the intelligent control system organizes the processing data and encrypts it to form a cutting record message, which is then uploaded to the MES system. The cutting record message must include at least the raw material steel plate number, cutting machine number, operation time, operator, finished product size and quantity, and sample block information.

[0014] Preferably, for step 3, the automatic sorting process includes the following sub-steps:

[0015] Step 3.1: Clarify the sub-board retrieval method. Determine the layout mode according to the retrieval marks defined by the MES system. Among them, the A-type retrieval is arranged from the head to the tail along the length direction, the S-type retrieval is arranged in two rows in the width direction, and the operation side is given priority. The G-type retrieval is arranged in three rows in the width direction, and the operation side is given priority.

[0016] Step 3.2: Determine the widest distance of the pattern templates. After adding the maximum positive tolerance to the width of the sub-patterns, sort them and calculate the maximum width W according to the template selection method. max ;

[0017] Step 3.3: Determine the full width point. Place the point at 1 / 2 of the maximum width on the center line of the steel plate width. Draw a horizontal line from the edge and intersect it with the contour curve in the length direction to obtain intersection points A, B, C, and D.

[0018] Step 3.4: Determine the layout space S2, connect the full width points and consider the head cut-off amount Kt and the tail cut-off amount Kb to make a rectangular area S1 inward, and then offset it inward according to the cutting border allowance T to obtain S2.

[0019] Step 3.5: Sub-board rough layout. Layout the sub-boards with the largest positive tolerance size. If the sub-boards cannot be laid out, gradually reduce the size of the sub-boards until they are all laid out or an error is reported.

[0020] Step 3.6: Add sampling blocks to the sub-board and arrange them according to the number, size and position information of the sampling blocks, and handle common edge and cut compensation.

[0021] Step 3.7: Fine-tune the overall position by moving and adjusting the overlapping part of the layout area S3 and S2 until it meets the requirements.

[0022] Preferably, for step 1, the sub-plate number is assigned by the number set provided by the MES system in descending order, and the layout mode is fixed so that the length direction of the sub-plate is consistent with the length direction of the original steel plate, so as to realize that the sub-plate edges share the same edge and the sampling block position is centered.

[0023] Preferably, in step 2, if the steel plate size exceeds a threshold when compared with the order information after scanning with a 3D camera, an alarm is triggered on the intelligent control system HMI page, which supports manual intervention and data display.

[0024] Preferably, for step 3.6, if the sampling blocks overlap when they are placed, they should be treated as having common edges. If the cutting mode is master cut, a kerf compensation distance needs to be added at the coarse cut position.

[0025] The combined area after all sub-plates and sampling blocks on the raw steel plate are treated to share the same edge is set as S3. If the opposite sides of S3 in the length or width direction overlap with S2, then return to step 3.5 to further reduce the size of the sub-plate. If the size of the sub-plate has reached the maximum negative tolerance, i.e. the minimum area, and the opposite sides of S3 in the length or width direction still exceed the area of ​​S2, then the nesting is interrupted and an error is reported; otherwise, proceed to step 3.7.

[0026] Preferably, for step 3.7, the sub-board size is dynamically adjusted within the tolerance range. If it still cannot be placed into the layout space S2 even with the maximum negative tolerance, the layout is interrupted and an error is reported.

[0027] Preferably, the method also includes an exception handling process, specifically:

[0028] When encountering abnormal task assignments, automatic layout errors, or special layout requirements from the MES system, the intelligent control system supports manual intervention through the HMI interface, including one-click re-request of tasks, deletion of erroneous tasks, or manual dragging of sub-boards for visual adjustments.

[0029] Preferably, the method also incorporates cutting logic along the length of the part, extending the cutting path to adjacent sub-plates to achieve frame fragmentation.

[0030] Compared with the prior art, the beneficial effects of the present invention are:

[0031] 1. This invention achieves fully automated management of the entire chain of thick plate laser cutting processing, from order placement to completion reporting, through the deep integration of full-process digitalization and intelligent algorithms. It constructs an intelligent control system as the core hub, which automatically receives and decrypts the encrypted production order information of the MES system, and drives the 3D camera to perform real-time contour scanning and automatic verification of the raw steel plate. This changes the traditional method of relying on manual visual comparison of steel plate information, improves the error tolerance of the material loading confirmation process to the level of systematic control, ensures the absolute accuracy and traceability of production source data, and effectively prevents batch quality accidents and material waste caused by material loading errors.

[0032] 2. This invention, specifically designed for steel mill thick plate operations, employs an intelligent layout algorithm with the core logic of "ensuring the finished product falls within the optimal physical and chemical properties range of the raw materials." By defining the full width point, discard amount, and layout space S2, it guides the placement of sub-plates and sampling blocks. Its dynamic tolerance adjustment mechanism and the introduction of common edge and cut-through logic enable the system to automatically adapt to various complex cutting patterns and automatically optimize the cutting path during layout, achieving automatic edge fragmentation. This not only significantly reduces single-plate layout time from 5 minutes to less than 1 minute but also replaces experience-dependent manual layout with fully automated layout, resulting in layouts that are both highly efficient and consistent. It significantly reduces the risk of part size deviations or improper utilization of material performance areas caused by human layout errors or skill differences.

[0033] 3. The HMI interface of this invention is designed with a complete manual intervention interface. When faced with temporary order insertion, layout abnormalities, or special layout requirements, operators can make visual manual adjustments or quickly fill in the information. The system can also intelligently pre-fill data to improve the efficiency of manual processing, ensuring that the system has sufficient flexibility and practicality when dealing with complex and ever-changing production site conditions. This ensures that the automated process will not be halted due to unexpected situations while improving overall efficiency, thus guaranteeing the continuous and stable operation of the production line. Attached Figure Description

[0034] Figure 1 This is a flowchart of the forward operation logic in this invention;

[0035] Figure 2 This is a schematic diagram of the typesetting logic in this invention;

[0036] Figure 3 This is a flowchart of the sorting algorithm in this invention. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] To address the issues of low automation, high labor costs, and low processing efficiency in existing thick plate laser cutting processes, please refer to [link / reference]. Figure 1-3 This embodiment provides the following technical solution:

[0039] This invention designs a fully digital and automated production management process method based on thick plate laser cutting processing scenarios.

[0040] In the context of thick plate processing in steel enterprises, the MES system defines the raw material steel plate size, material, raw material number, cutting mode (master plate cutting, sub-plate cutting), finished product size, finished product quantity, sampling requirements, sampling quantity, sampling block size, relative position of sampling block, sub-plate number, master plate number, rough cutting position, and range of remaining material number in the production order, and transmits them with special encoding encryption.

[0041] After obtaining the above information, the intelligent control system decrypts the original information according to the encoding rules to obtain the task information.

[0042] The overhead crane in the plant is connected to the MES system. After the crane completes loading, it sends information to the MES system. The MES system then sends task information to the intelligent control system. The intelligent control system is equipped with a 3D camera and automatically begins scanning the point cloud of the outer contour of the raw steel plate to obtain the actual shape and size information of the steel plate. This information is then automatically compared with the raw steel plate size transmitted by the MES system. If the size exceeds a certain threshold, an alarm is triggered on the HMI page of the intelligent control system. Compared with manual comparison, this saves time and completely eliminates loading errors.

[0043] After confirming that the dimensions of the steel plate being fed are correct, the intelligent control system enters the layout stage, the specific steps of which are as follows:

[0044] Step 1: Clarify the method of removing the sub-board

[0045] The relative position of each sub-board to the main board is determined by the layout pattern specified by the board retrieval marks in the MES system. Type A board retrieval involves arranging the boards from the head to the tail along the length direction. Type S board retrieval involves arranging the boards in two rows along the width direction, prioritizing the operation side in the width direction, and then restarting the layout from the head after reaching the bottom. Type G board retrieval involves arranging the boards in three rows along the width direction, prioritizing the operation side in the width direction, and repeating the layout three times from head to tail. The number of each sub-board is assigned from the set of numbers obtained from the MES system in descending order according to the requirements.

[0046] Step 2: Determine the widest distance of the layout template.

[0047] The system first adds the maximum positive tolerance to the width of each sub-board and then sorts them from largest to smallest. Based on the board selection method A, S, or G, it calculates the width of sub-board number 1, the width of sub-board number 1 plus the width of sub-board number 2, and the width of sub-board number 1 plus the width of sub-board number 2 plus the width of sub-board number 3, respectively, to obtain the maximum width W. max .

[0048] Step 3: Determine the full width point

[0049] Place the position at 1 / 2 of the maximum width on the center line of the steel plate in the width direction. Draw horizontal lines from the two edges of the maximum width and take the intersection points A, B, C, and D with the outline curve of the edge in the length direction of the steel plate. These intersection points are the full width points.

[0050] Step 4: Determine the available layout space S2

[0051] Connect points A, B, C, and D in sequence. Take the head cut length Kt and tail cut length Kb inside AB and CD, and draw a rectangle inwards to obtain a rectangular area S1. Set the cutting margin as T. Draw rectangles of length T inwards from all four sides to obtain the layout space S2. The cut lengths are used to ensure that the sub-plate falls within the optimal physical and chemical property range of the raw material.

[0052] Step 5: Rough layout of sub-plates

[0053] Since steel mills can remelt scrap steel, they incur almost no scrap costs. Their core layout logic focuses on ensuring the quality of finished products by placing as many finished products as possible within the optimal physical and chemical properties of the raw steel plates. Based on this core idea, this layout algorithm fixes the length direction of all sub-plates to be consistent with the length direction of the raw steel plates, ensuring that the edges of each sub-plate without sampling blocks share a common edge, and that all sampling blocks are centered. During coarse layout, the positions of sampling blocks near the sub-plates are not considered, and the sub-plate dimensions are arranged with the maximum positive tolerance (i.e., the maximum sub-plate size). If a combination of sub-plates without sampling blocks cannot be placed in S2, the tolerance is reduced in 1mm increments until all sub-plates are placed. If the sub-plate size has reached the maximum negative tolerance (i.e., the minimum area) and still cannot be placed in S2, the layout is interrupted and an error is reported; otherwise, proceed to step 6.

[0054] Step 6: Arrange the sampling blocks on the sub-plate.

[0055] After the smallest sub-plate is laid out in S2, the sampling blocks are arranged according to the number of sampling blocks, length and width dimensions, and relative length and width directions of each sub-plate. Overlapping sampling blocks are processed to share edges. If the cutting mode is master plate cut, a kerf compensation distance needs to be added at the coarse cut position. The combined area of ​​all sub-plates and sampling blocks on the raw material steel plate after edge sharing is set as S3. If the opposite sides of S3 in the length or width direction overlap with S2, return to step 5 to further reduce the sub-plate size. If the sub-plate size has reached the maximum negative tolerance (i.e., the minimum area), and the opposite sides of S3 in the length or width direction still exceed the S2 area, then the layout is interrupted and an error is reported. Otherwise, proceed to step 7.

[0056] Step 7: Fine-tune the overall position

[0057] Move the area in S3 that exceeds S2 in the opposite direction of its excess until it touches the other side of the S2 area. If it is still impossible to fit all of the S3 area into S2, return to step 6. If the sub-board size has already reached the maximum negative tolerance (i.e., the minimum area), and it is still impossible to fit all of the S3 area into S2, then interrupt the nesting process and report an error. Otherwise, the nesting process ends normally, the absolute coordinates of the graphic are obtained, and the machining file is generated.

[0058] Compared to traditional layout functions, the intelligent control system achieves fully automatic layout without the need for manual import of raw materials and parts, manual definition of the starting point, or manual selection of the process. The system will automatically match the appropriate process based on the steel grade, thickness, and cutting gas of the raw material.

[0059] To facilitate frame separation after cutting, the algorithm incorporates cutting logic along the length of the parts. This means the cutting path extends along the length of each sub-plate to the next, ensuring all frames are shredded and transported independently, rather than being internally connected and requiring whole-piece lifting. This reduces the difficulty of transporting the frame components. Compared to traditional nesting software, it is better suited for large-format cutting, master plate cutting, and sub-plate cutting scenarios in steel mills.

[0060] After the layout is completed, a cutting program is automatically generated and sent to the CNC system of the cutting machine. The CNC system controls the movement of the crossbeam and the cutting head according to the processing program to perform the cutting. Compared with the current manual layout in steel mills, this layout algorithm reduces the time for a single plate from 5 minutes to less than 1 minute, greatly improving layout efficiency. Under normal circumstances, the entire production process from layout to cutting can be completed automatically without human intervention, saving enterprises a lot of labor time.

[0061] After cutting, the CNC system transmits the processing data to the intelligent control system. The intelligent control system organizes and encrypts the processing data, thereby forming a cutting record message which is uploaded to the MES system. The processing data includes information such as the raw material steel plate number, the processing and cutting machine number, the start and end time of the operation, the operator, the actual size and quantity of the finished plate and mother plate cut, the actual size and quantity of the sampled blocks cut, and the reason for failure to complete sampling.

[0062] The above processes represent both normal and abnormal automated operation procedures. The intelligent control system also considers scenarios such as temporary order insertions on-site, task errors in the MES system, and automatic layout errors, and has designed corresponding emergency handling methods. In the event of temporary order insertions or tasks on-site, to ensure data integrity in both the intelligent control system and the MES system, the intelligent control system's HMI interface supports manual entry of cutting data. To improve entry efficiency, the system automatically fills in the table with the results of the most recent cutting task, saving significant manual entry time. When the MES system encounters an error in task issuance, the intelligent system terminal supports one-click resending of the task, and also supports simultaneous deletion of incorrectly issued tasks on both ends. In the event of automatic layout errors or special requirements for the layout results necessitating adjustments, manual intervention is supported, allowing users to drag and drop sub-boards on the HMI page for convenient visual layout, accommodating various special layout situations.

[0063] In summary, this intelligent management process integrates production management, layout, and cutting control. It is customized for the steel mill's thick plate processing business scenario, achieving the goals of automation, intelligence, and unmanned management. This improves production efficiency, reduces the possibility of human error, saves labor costs, and reduces processing time.

[0064] Working principle: The intelligent control system first decrypts the order information according to preset coding rules, obtaining key parameters including raw material details, finished product specifications, sampling requirements, and cutting mode. Then, it triggers the material loading verification process: After the overhead crane completes loading and notifies the MES (Manufacturing Execution System), the system controls a 3D camera to scan the outer contour point cloud of the raw steel plate, automatically comparing the obtained actual steel plate shape and size with the order information. This step ensures that the raw materials put into production fully meet the planned requirements, eliminating errors from the source.

[0065] After successful verification, the system enters the core intelligent layout stage. The algorithm first determines the layout logic based on the board selection method specified by the MES. Then, it defines the high-quality layoutable area S2 on the raw material steel plate by calculating the full width point and the amount to be discarded. During layout, the system prioritizes ensuring that the sub-board falls within this high-quality area and employs a dynamic tolerance adjustment mechanism, starting from the maximum positive tolerance to attempt to arrange the sub-board and sampling block, and automatically handles common edges. If the layout result exceeds the boundary, the sub-board size is gradually reduced for iterative calculation until success or an error is reported. This process is fully automated, requiring no manual intervention, and can automatically generate optimized cutting paths containing cutting logic, facilitating subsequent border separation.

[0066] After the layout is completed, the system automatically sends the generated processing program to the CNC system of the laser cutting machine. The cutting machine automatically executes the cutting operation according to the program. All data generated during the cutting process, such as start and end times and actual cutting quantity, are fed back to the intelligent control system by the CNC system. The system organizes and encrypts these processing data to form a structured cutting data message and automatically sends it back to the MES system, completing the closed loop of production information.

[0067] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0068] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention.

Claims

1. An intelligent production management process method based on thick plate laser cutting, characterized in that, Includes the following steps: Step 1: The intelligent control system obtains encrypted production order information from the Manufacturing Execution System (MES) and decrypts the information. The production order information includes at least the raw material steel plate size, material, cutting mode, finished product size, finished product quantity, sampling requirements, sub-plate number, master plate number, rough cutting position, and range of surplus material numbers. Step 2: Use a 3D camera to scan the outer contour point cloud of the raw steel plate to obtain the real shape and size information of the steel plate, and automatically compare it with the raw steel plate size transmitted by the MES system. Step 3: After the comparison is correct, the automatic layout process is entered. The layout mode is determined according to the board taking method, the available layout space is calculated, the sub-board coarse layout and the addition of sampling blocks are carried out, and the overall position is fine-tuned. Step 4: After the layout is completed, the cutting program is automatically generated and sent to the CNC system of the cutting machine. The cutting program includes process parameters that are automatically matched according to the steel grade, thickness and cutting gas. Step 5: The cutting machine performs the cutting operation; Step 6: After cutting is completed, the intelligent control system organizes the processing data and encrypts it to form a cutting record message, which is then uploaded to the MES system. The cutting record message must include at least the raw material steel plate number, cutting machine number, operation time, operator, finished product size and quantity, and sample block information.

2. The intelligent production management process method based on thick plate laser cutting according to claim 1, characterized in that, For step 3, the automatic sorting process includes the following sub-steps: Step 3.1: Clarify the sub-board retrieval method. Determine the layout mode according to the retrieval marks defined by the MES system. Among them, the A-type retrieval is arranged from the head to the tail along the length direction, the S-type retrieval is arranged in two rows in the width direction, and the operation side is given priority. The G-type retrieval is arranged in three rows in the width direction, and the operation side is given priority. Step 3.2: Determine the maximum width distance of the pattern templates. After adding the maximum positive tolerance to the width direction of the sub-patterns, sort them and calculate the maximum width W according to the template selection method. max ; Step 3.3: Determine the full width point. Place the point at 1 / 2 of the maximum width on the center line of the steel plate width. Draw a horizontal line from the edge and intersect it with the contour curve in the length direction to obtain intersection points A, B, C, and D. Step 3.4: Determine the layout space S2, connect the full width points and consider the head cut-off amount Kt and the tail cut-off amount Kb to make a rectangular area S1 inward, and then offset it inward according to the cutting border allowance T to obtain S2. Step 3.5: Sub-board rough layout. Layout the sub-boards with the largest positive tolerance size. If the sub-boards cannot be laid out, gradually reduce the size of the sub-boards until they are all laid out or an error is reported. Step 3.6: Add sampling blocks to the sub-board and arrange them according to the number, size and position information of the sampling blocks, and handle common edge and cut compensation. Step 3.7: Fine-tune the overall position by moving and adjusting the overlapping part of the layout area S3 and S2 until it meets the requirements.

3. The intelligent production management process method based on thick plate laser cutting according to claim 1, characterized in that, For step 1, the sub-plate number is assigned by the number set provided by the MES system in descending order, and the layout mode is fixed so that the length direction of the sub-plate is consistent with the length direction of the original steel plate, so as to realize the common edge of the sub-plate and the center position of the sampling block.

4. The intelligent production management process method based on thick plate laser cutting according to claim 1, characterized in that, Regarding step 2, after scanning with a 3D camera, if the steel plate size exceeds a threshold compared to the order information, an alarm will be triggered on the intelligent control system HMI page, which supports manual intervention and data display.

5. The intelligent production management process method based on thick plate laser cutting according to claim 2, characterized in that, For step 3.6, if there are overlapping sampling blocks when placing them, they should be processed to share the same edge. If the cutting mode is master cut, a kerf compensation distance needs to be added at the coarse cut position. The combined area after all sub-plates and sampling blocks on the raw steel plate are treated to share the same edge is set as S3. If the opposite sides of S3 in the length or width direction overlap with S2, then return to step 3.5 to further reduce the size of the sub-plate. If the size of the sub-plate has reached the maximum negative tolerance, i.e. the minimum area, and the opposite sides of S3 in the length or width direction still exceed the area of ​​S2, then the nesting is interrupted and an error is reported; otherwise, proceed to step 3.

7.

6. The intelligent production management process method based on thick plate laser cutting according to claim 2, characterized in that, For step 3.7, the sub-board size is dynamically adjusted within the tolerance range. If it still cannot be placed into the layout space S2 even with the maximum negative tolerance, the layout is interrupted and an error is reported.

7. The intelligent production management process method based on thick plate laser cutting according to claim 1, characterized in that, The method also includes an exception handling process, specifically: When encountering abnormal task assignments, automatic layout errors, or special layout requirements from the MES system, the intelligent control system supports manual intervention through the HMI interface, including one-click re-request of tasks, deletion of erroneous tasks, or manual dragging of sub-boards for visual adjustments.

8. The intelligent production management process method based on thick plate laser cutting according to claim 1, characterized in that, The method also incorporates cutting logic along the length of the part, extending the cutting path to adjacent sub-plates to achieve frame fragmentation.

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