Slice separator control method for XPS (extruded polystyrene) sheet

Abstract

The invention discloses a wafer separator control method for an XPS polystyrene extruded sheet, and relates to the technical field of mechanical automatic control. Comprising the following steps: S1, acquiring continuous displacement of an XPS plate through a high-resolution rotary encoder, and transmitting the continuous displacement to a PLC (Programmable Logic Controller) to calculate an instantaneous advancing speed so as to form a dynamic speed curve; s2, carrying out local linear fitting on the dynamic speed curve by adopting a sliding window method, and correcting an ideal cutting trigger point by introducing an elastic deformation compensation coefficient; and S3, on the basis of a transverse deviation correction control mechanism, monitoring and correcting the transverse position deviation generated in the advancing process of the XPS board in real time. According to the method, the dynamic speed curve is constructed by collecting the continuous displacement amount of the XPS plate in the advancing process in real time, and the cutting trigger point is dynamically corrected through the sliding window method and the elastic deformation compensation coefficient, so that the cutting trigger point does not depend on a static preset value any more and is adaptively adjusted along with the real-time dynamic characteristics of the XPS plate, and the cutting accuracy is improved. And the problem of length out-of-tolerance caused by speed fluctuation is fundamentally solved.

Description

Technical Field

[0001] This invention relates to the field of mechanical automatic control technology, and in particular to a control method for a sheet cutting machine of XPS polystyrene extruded board. Background Technology

[0002] With the continuous improvement of building energy efficiency standards and the rapid development of the cold chain logistics industry, extruded polystyrene (XPS) boards have become an indispensable core insulation material in modern engineering due to their excellent thermal insulation performance, high compressive strength, and low water absorption. In the continuous production process of XPS boards, the wide, thick boards after extrusion need to be cut into specifications suitable for different application scenarios through a slitting process. This step, as a key node connecting upstream extrusion and downstream packaging, directly affects the consistency of finished product dimensions, material utilization, and overall line automation efficiency through its control precision and responsiveness. Traditional slitting equipment generally adopts mechanical cutting logic based on fixed-cycle or preset-length triggering, relying on encoders to collect XPS board displacement signals and activating the cross-cutting blade to complete the slitting action when the cumulative pulse count reaches a set threshold.

[0003] This type of control method is based on the ideal assumption of a steady-state extrusion speed, directly equating time or pulse count to physical length, and supplementing it with photoelectric switches for position verification to achieve basic fixed-length segmentation. This solution is simple in structure and easy to debug, exhibiting good economy and reliability in early low-speed, single-specification production modes, and has therefore been widely adopted by the industry for a long time. However, with the surge in high-end customized demands and the increasing trend towards high-speed production lines, the inherent non-steady-state characteristics of the XPS extrusion process are becoming increasingly prominent—fluctuations in raw material ratios, changes in ambient temperature and humidity, screw speed disturbances, and uneven tension in the cooling section can all cause instantaneous deviations in the XPS plate's travel speed, making the static threshold-based cutting triggering mechanism difficult to adapt to dynamic working conditions.

[0004] In existing technologies, control systems lack the ability to online sense and compensate for the real-time displacement rate of XPS boards, leading to inaccurate slitting timing and causing problems such as length deviations, end face beveling, and even XPS board tearing. Furthermore, in scenarios involving rapid switching between multiple specifications, frequent manual adjustments to preset parameters not only reduce production line flexibility but also fail to adapt to the dynamic characteristics of products with different thicknesses and densities, making it difficult to ensure consistent slitting quality. Especially under high-speed operation, microsecond-level control delays or millimeter-level positional deviations can cause batch scrap, severely restricting the yield and delivery stability of high-value-added XPS products. Therefore, there is an urgent need for an intelligent control method that can sense the dynamic movement status of XPS boards in real time, adaptively correct the cutting trigger timing, and ensure slitting accuracy and edge integrity under high-speed continuous operation conditions. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a method for controlling a slitting machine for XPS polystyrene extruded boards. In a first aspect, the present invention provides a method for controlling a sheet-splitting machine for XPS polystyrene extruded boards, comprising: S1. The continuous displacement of the XPS board is obtained through a high-resolution rotary encoder and transmitted to the PLC controller to calculate the instantaneous travel speed and form a dynamic speed curve. S2. The sliding window method is used to perform local linear fitting on the dynamic velocity curve and calculate the theoretical cutting trigger point; the ideal cutting trigger point is corrected by introducing an elastic deformation compensation coefficient to generate the final cutting trigger point pulse threshold. S3. Based on the lateral correction control mechanism, monitor and correct the lateral position deviation of the XPS board during its movement in real time. S4. Based on the modifications of S2 and S3, servo-driven cross-cutting system performs servo-following cross-cutting and adaptive reset control. S5. Construct a multi-specification parameter library and implement adaptive loading based on the process parameters of the multi-specification parameter library; S6. Capture XPS board cut images through a vision inspection component, analyze the straightness, perpendicularity and burr width of the cut, and achieve closed-loop self-optimization control through threshold setting.

[0006] Preferably, S1 includes: The continuous displacement of the XPS board is acquired in real time by a high-resolution rotary encoder installed at the end of the active traction roller, and orthogonal A / B phase signals are output; the high-resolution rotary encoder has an anti-electromagnetic interference shielding design. The orthogonal A / B phase signals are acquired by a high-speed counting card and then transmitted to the PLC controller. The PLC controller reads the cumulative pulse count in 1ms intervals, calculates the instantaneous travel speed using the pulse increment between two adjacent sampling cycles, and generates a dynamic speed curve based on the instantaneous travel speed.

[0007] Preferably, S2 includes: The velocity data of the most recent 200ms from the dynamic velocity curve is extracted as a sliding window. The weighted least squares method is used for linear fitting to obtain the velocity-time function, and the distance traveled from the current moment to the next target cutting point is calculated. When the cumulative displacement reaches the target segment length, the corresponding number of pulses is the theoretical cutting trigger point. In addition, an elastic deformation compensation coefficient is introduced to correct the ideal cutting trigger point and generate the final cutting trigger point pulse threshold.

[0008] Preferably, S3 includes: A non-contact laser rangefinder array is installed on the side of the XPS board to collect its lateral position data. The lateral position data is processed by Kalman filtering and then input to the PLC controller. High-precision measurement points are arranged along the width direction of the XPS board at the left edge, the right side of the center line, and the right edge to detect the offset of the XPS board's edge contour in real time. The angle and displacement deviation between the actual running axis of the XPS board and the ideal center line are accurately calculated through three-point fitting. Once the lateral displacement deviation is detected to exceed ±2mm, the PLC controller immediately starts the lateral correction control mechanism, calculates the required adjustment angle of the guide roller based on the displacement deviation, and outputs a PWM signal. The PWM signal is used to drive the servo motor to adjust the deflection angle of the guide roller.

[0009] Preferably, S4 includes: The servo-driven cross-cutting system adopts a dual-servo motor cooperative drive structure. The main spindle servo motor is responsible for the vertical lifting and lowering motion of the cutter, while the secondary spindle servo motor drives the cutter assembly to move horizontally along the XPS board's travel direction. When the PLC controller issues a cutting command, the servo-driven cross-cutting system executes the following steps: The secondary shaft servo motor is started, driving the cutter assembly to move synchronously along the XPS board's travel direction. The target following displacement is generated by integrating the dynamic velocity curve provided by S1, and a position closed loop is formed by a high-precision grating ruler to ensure that the horizontal relative position error between the cutter and the XPS board during the following process is less than 0.05mm. While the secondary spindle servo motor achieves horizontal synchronous following motion, the main spindle servo motor drives the cutter to cut into the XPS board along the vertical direction according to a preset acceleration curve; the horizontal following and vertical cutting motions are strictly synchronized through electronic gear coupling, so that the absolute speed of the cutter blade during the cutting process is consistent with the instantaneous speed of the XPS board. After completing a full cutting action, the cutter uses a graded deceleration strategy to rise vertically and reset. After resetting, the servo-driven cross-cutting system automatically returns to standby mode, waiting for the next trigger signal.

[0010] Preferably, S5 includes: The multi-specification parameter library pre-stores no less than 20 sets of product process parameter combinations with different thicknesses, densities and slice lengths. Each set of process parameter combinations is indexed by the product's thickness, density and target length, and fully includes the key control parameters required for product production. Once the product model is selected, the corresponding complete parameter set is automatically loaded from the multi-specification parameter library and sent to the corresponding control modules S1-S4 for execution. In addition, the system has a built-in conflict detection mechanism. If there is a serious deviation between the key control parameters and the current device status or the real-time detection value of the XPS board, execution will be prohibited and a warning will be issued.

[0011] Preferably, S6 includes: The visual inspection component uses an industrial-grade CMOS camera with a telecentric lens, achieving an image resolution of 1280×960 pixels. The accompanying image processing algorithm can identify burr areas with a width greater than 0.2mm, calculate the angle between the cut and the baseline, and determine whether the perpendicularity deviation exceeds ±1.5°. The XPS board cutout image is transmitted to the edge computing unit for analysis in real time via the GigE Vision protocol. If any indicator is detected to exceed the allowable threshold set in the S5 multi-specification parameter library three times in a row, a level three alarm will be triggered immediately. Upon triggering a Level 3 alarm, the parameter optimization process is initiated: the current abnormal XPS board cut image is sent back to the PLC controller, and based on the data of historical qualified cutting events, the key control parameters are fine-tuned using an incremental PID adjustment strategy until the subsequent five consecutive XPS board cut images are all qualified.

[0012] Secondly, the present invention also provides a slitting machine control system for XPS polystyrene extruded boards, which applies the slitting machine control method for XPS polystyrene extruded boards as described above. The system includes a dynamic data acquisition module, an adaptive prediction compensation module, an edge positioning correction module, a servo following cross-cutting module, a multi-specification parameter library management module, and an online quality feedback optimization module. The dynamic data acquisition module acquires the continuous displacement of the XPS board through a high-resolution rotary encoder and transmits it to the PLC controller to calculate the instantaneous travel speed and form a dynamic speed curve. The adaptive prediction and compensation module is used to perform local linear fitting of the dynamic velocity curve using the sliding window method and calculate the theoretical cutting trigger point; the ideal cutting trigger point is corrected by introducing an elastic deformation compensation coefficient to generate the final cutting trigger point pulse threshold. The edge positioning correction module, based on the lateral deviation correction control mechanism, is used to monitor and correct the lateral position deviation of the XPS board during its movement in real time. The servo-following cross-cutting module performs servo-following cross-cutting and adaptive reset control through the servo-driven cross-cutting system. The multi-specification parameter library management module achieves adaptive loading through the process parameters of the multi-specification parameter library; The online quality feedback optimization module captures XPS board cut images through a visual inspection component, analyzes the straightness, perpendicularity, and burr width of the cut, and achieves closed-loop self-optimization control through threshold setting.

[0013] Compared with the prior art, the present invention has the following advantages and beneficial effects: This invention constructs a dynamic velocity curve by real-time acquisition of the continuous displacement of the XPS board during its movement, and dynamically corrects the cutting trigger point using a sliding window method and an elastic deformation compensation coefficient. This ensures that the cutting trigger point no longer depends on a static preset value, but rather adapts to the real-time dynamic characteristics of the XPS board, fundamentally solving the problem of length deviation caused by speed fluctuations. By introducing a lateral correction control mechanism, it monitors and corrects the lateral position deviation of the XPS board during its movement in real time, overcoming the oblique cutting problem caused by the lateral offset of the XPS board and ensuring that the cutting surface is strictly perpendicular to the running direction of the XPS board. Through a servo-driven lateral cutting system, it performs servo-following lateral cutting and adaptive reset control, significantly reducing cutting resistance and mechanical impact, avoiding end-face tearing and burr generation, and improving edge integrity.

[0014] Furthermore, this invention achieves adaptive loading by constructing a multi-specification parameter library, significantly shortening changeover and debugging time and enhancing production line flexibility and responsiveness; it also achieves closed-loop self-optimization control by capturing and analyzing XPS board cut images through a vision inspection component. Attached Figure Description

[0015] Fig. 1 This is a flowchart illustrating a control method for a slitting machine of XPS polystyrene extruded board.

[0016] Fig. 2 This is a data flow diagram of a chip-splitting control method for XPS polystyrene extruded boards.

[0017] Fig. 3 This is a schematic diagram of the control system for a slitting machine of XPS polystyrene extruded board. Detailed Implementation

[0018] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. 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 of ordinary skill in the art without creative effort are within the scope of protection of the present invention. It should be noted that relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0019] Example 1 Currently, in the continuous production process of XPS boards, the dynamic fluctuations in extrusion speed make traditional mechanical cutting logic based on fixed cycle time or preset length triggering unsteady conditions unsuitable. This leads to technical problems such as excessive cutting length, end face beveling, XPS board tearing, and delayed response during multi-specification switching. To address these issues, this invention proposes a slitting machine control method for XPS polystyrene extruded boards. By real-time acquisition of displacement and speed data during the XPS board's movement, a dynamic speed compensation model is constructed. An edge positioning correction mechanism and servo-following cross-cutting control are introduced, and a multi-specification parameter library, online quality feedback adjustment, and full-process data traceability are integrated to achieve a high-precision, adaptive, and closed-loop intelligent slitting control method. Please refer to [link / reference]. Figs. 1-2 The method includes: S1. The continuous displacement of the XPS board is obtained through a high-resolution rotary encoder and transmitted to the PLC controller to calculate the instantaneous travel speed and form a dynamic speed curve. Specifically, on the XPS board production line, a high-resolution rotary encoder installed at the end of the active traction roller collects the continuous displacement of the XPS board in real time and outputs two orthogonal pulse signals (orthogonal A / B phase signals). The high-resolution rotary encoder outputs 10,000 pulses per revolution, with a signal sampling period of 1ms. The acquisition component has an anti-electromagnetic interference shielding design to ensure signal stability greater than 99.9% under strong electric conditions. The orthogonal A / B phase signals are not only used for pulse counting, but also for determining the direction of travel through phase relationship.

[0020] The orthogonal A / B phase signals are acquired by a high-speed counting card and then transmitted to the PLC controller. The PLC controller reads the cumulative pulse count at a period of 1ms and calculates the instantaneous travel speed using the pulse increment between two adjacent sampling periods. The calculation formula is as follows: ; In the formula, Instantaneous speed; The pulse increment between two adjacent sampling periods; This is the encoder constant, which is the number of pulses per millimeter of displacement, and is determined by both the traction roller diameter and the encoder resolution. The time interval for sampling is usually set to 1ms.

[0021] The instantaneous travel speed is stored in the annular buffer in real time and forms a dynamic speed curve; the dynamic speed curve serves as the input basis for subsequent dynamic length compensation and cutting timing prediction, providing a data foundation for adapting to the unsteady characteristics of the extrusion process.

[0022] S2. The sliding window method is used to perform local linear fitting on the dynamic velocity curve and calculate the theoretical cutting trigger point; the ideal cutting trigger point is corrected by introducing an elastic deformation compensation coefficient to generate the final cutting trigger point pulse threshold. Specifically, the velocity data from the most recent 200ms (corresponding to 200 sampling points) on the dynamic velocity curve is extracted as a sliding window. A weighted least squares method is used for linear fitting to obtain the velocity-time function, and the distance traveled from the current moment to the next target cutting point is calculated. The weights are set with a time decay factor of 0.95 to increase the influence of recent velocity data on the fitting results, thereby improving the sensitivity of the velocity response. The relevant calculation formulas are shown below: The formula for calculating the velocity-time function is: ; The formula for calculating the distance traveled from the current moment to the next target cutting point within the given time is: ; In the formula, To predict the future Instantaneous velocity at a given moment; The rate of change over time; The intercept of the fitted line represents the initial fitting speed of the current window; This represents a time variable with the starting point of the sliding window as its origin. The distance traveled from the current moment to the next target cutting point within the required time. This represents the time required from the current moment to the next target cutting point; when the cumulative displacement reaches the target segment length, the corresponding number of pulses is the theoretical cutting trigger point. In addition, to compensate for the slight deformation of the XPS board during traction caused by material elasticity and temperature changes, an elastic deformation compensation coefficient is introduced to correct the ideal cutting trigger point, generating the final cutting trigger point pulse threshold; the calculation formula is as follows: ; ; In the formula, This is the elastic deformation compensation coefficient; The baseline compensation coefficient for the baseline density and baseline temperature is set to 0.98; The density compensation coefficient is set to 0.003. The temperature compensation coefficient is set to -0.001. The baseline density is set at 30 kg / m³. The reference temperature is set to 25℃. and These are the density and temperature of the XPS board, respectively. The target fragment length; The final cut trigger point pulse threshold.

[0023] This dynamic correction mechanism makes the cutting trigger point no longer dependent on static preset values, but adaptively adjusted according to the real-time dynamic characteristics of the XPS board, fundamentally solving the problem of length deviation caused by speed fluctuations.

[0024] S3. Based on the lateral correction control mechanism, monitor and correct the lateral position deviation of the XPS board during its movement in real time. Based on the completion of S2 dynamic cutting point prediction and correction, in order to ensure that the cutting surface is strictly perpendicular to the running direction of the XPS board, this step introduces a lateral correction control mechanism to monitor and correct the lateral position deviation of the XPS board during its movement in real time. Specifically, a non-contact laser rangefinder sensor array is installed on the side of the XPS board to collect its lateral position data. This lateral position data is processed by Kalman filtering and then input to the PLC controller to eliminate ambient light interference and mechanical vibration noise. High-precision measurement points are arranged along the width of the XPS board at the left edge, to the right of the center line, and at the right edge to detect the edge contour offset of the XPS board in real time. The angle and displacement deviation between the actual running axis of the XPS board and the ideal center line are accurately calculated through three-point fitting. Once a lateral displacement deviation exceeding ±2mm is detected, the PLC controller immediately activates the lateral correction control mechanism. Based on the displacement deviation, the required adjustment angle of the guide roller is calculated according to the formula θ = 0.6 × Δx, and a PWM signal is output. This PWM signal is used to drive the servo motor to adjust the deflection angle of the guide roller. This correction process is completed within 100ms before cutting, ensuring that the edge of the XPS board remains strictly perpendicular to the blade at the moment of cut, thus effectively avoiding end-face bevel defects caused by XPS board misalignment.

[0025] S4. Based on the modifications of S2 and S3, servo-driven cross-cutting system performs servo-following cross-cutting and adaptive reset control. Specifically, the servo-driven cross-cutting system adopts a dual-servo motor cooperative drive structure, wherein the main spindle servo motor is responsible for the vertical lifting and lowering motion of the cutter, and the secondary spindle servo motor drives the cutter assembly to perform horizontal following motion along the XPS board's travel direction; when the PLC controller issues a cutting command, the servo-driven cross-cutting system executes the following steps: The secondary shaft servo motor is started, driving the cutter assembly to move synchronously along the XPS board's travel direction. Its target following displacement is generated by integrating the dynamic velocity curve provided by S1, and a position closed loop is formed by a high-precision grating ruler to ensure that the horizontal relative position error between the cutter and the XPS board during the following process is less than 0.05mm, achieving a near "relatively static" cutting condition. While the secondary spindle servo motor achieves horizontal synchronous following motion, the main spindle servo motor drives the cutter to cut into the XPS board along the vertical direction according to a preset acceleration curve. The horizontal following and vertical cutting motions are strictly synchronized through electronic gear coupling, so that the absolute speed of the cutter edge during the cutting process is consistent with the instantaneous speed of the XPS board, and the speed deviation is controlled within ±5%. This minimizes the cutting resistance and fundamentally avoids problems such as XPS board tearing and burrs on the cross-section caused by speed asynchrony. After completing a full cutting action, the cutter rises vertically to reset. To reduce mechanical impact and wear, a graded deceleration strategy is adopted during the reset process: 10mm before the upper reset point, the cutter speed is reduced from the maximum value to 50%; in the last 3mm of the stroke, it is smoothly reduced to zero speed in a uniform deceleration manner; after the reset is completed, the servo-driven cross-cutting system automatically returns to standby state, waiting for the next trigger signal.

[0026] This process is the final execution stage of the aforementioned high-precision prediction and positioning correction. The dynamic trigger point provided by S2 ensures the accuracy of the cutting timing, the correction mechanism of S3 ensures the perpendicularity of the cutting path, and the servo follow control in this step ensures the dynamic matching at the moment of cutting. The three work together in a closed loop to complete high-quality slicing and systematically solve traditional problems such as end face beveling and XPS board tearing.

[0027] S5. Construct a multi-specification parameter library and implement adaptive loading based on the process parameters of the multi-specification parameter library; Specifically, the multi-specification parameter library pre-stores no less than 20 sets of product process parameter combinations with different thicknesses, densities and slab lengths. Each set of process parameter combinations is indexed by the product model (such as the thickness, density and target length of XPS board) and fully includes the key control parameters required for the production of that model. Operators select the product model through the human-machine interface. After receiving the instruction, the system automatically loads the corresponding complete parameter set from the multi-specification parameter library and sends it to the corresponding control modules S1-S4 for execution. In addition, the system has a built-in conflict detection mechanism. If the selected parameters deviate significantly from the current equipment status or the real-time detection value of the XPS board, execution is prohibited and a warning is issued.

[0028] For example, for a thickness of 50mm and a density of 35kg / m³ 3 For an XPS board with a target length of 1200mm, the corresponding parameter set includes: target length 1200mm, tolerance ±1.0mm, optimal cutting speed range of 0.8m / s to 1.2m / s, and correction response coefficient 0.6. The multi-specification parameter library significantly shortens product changeover and debugging time, and enables rapid and seamless switching between multiple product specifications.

[0029] S6. Capture XPS board cut images through a vision inspection component, analyze the straightness, perpendicularity and burr width of the cut, and achieve closed-loop self-optimization control through threshold setting; Specifically, the vision inspection component uses an industrial-grade CMOS camera with a telecentric lens, achieving an image resolution of 1280×960 pixels. The accompanying image processing algorithm can identify burr areas wider than 0.2mm and calculate the angle between the cut and the baseline, determining whether the perpendicularity deviation exceeds ±1.5°. The XPS board cut image is transmitted in real-time to the edge computing unit for analysis via the GigE Vision protocol. If any indicator exceeds the allowable threshold set in the S5 multi-specification parameter library for three consecutive detections, a three-level alarm is immediately triggered (Level 1: local audible and visual alarm; Level 2: HMI interface pop-up warning; Level 3: automatic pause of subsequent cutting sequences). Simultaneously with triggering the Level 3 alarm, a parameter optimization process is initiated: the current abnormal XPS board cut image is sent back to the PLC controller. The PLC controller uses historical qualified cutting event data as a benchmark and employs an incremental PID adjustment strategy to fine-tune key control parameters until five consecutive XPS board cut images are found to be qualified. Through this process, the system not only achieves high precision in a single cut but also gains adaptive and self-optimizing capabilities to cope with long-term process fluctuations.

[0030] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0031] An XPS board production line is currently producing boards with a thickness of 60mm and a density of 32kg / m³. 3 The insulation board has a target segment length of 1500mm. After system startup, the operator selects the corresponding product model on the HMI, and the multi-specification parameter library automatically loads the matching process parameter set. During continuous operation, the extruder speed of the XPS board fluctuates between 1.0m / s and 1.3m / s due to changes in raw material moisture. The high-resolution rotary encoder collects data at a 1ms cycle, updates the predicted speed every 200ms, and dynamically corrects the cutting pulse threshold. Simultaneously, the laser ranging array detects a slight rightward deviation of 1.8mm in the XPS board, and the system initiates correction, with the guide roller deflecting 1.08° (θ=0.6×1.8). When the corrected trigger point is reached, the servo cross-cutting system starts synchronously to follow the cutting, controlling the deviation between the cutting speed and the XPS board speed within 3%. After cutting, the vision inspection component captures the cut image of the XPS board, and the analysis shows that the perpendicularity deviation is 1.0° and the burr width is 0.15mm, which meets the requirements. The average length of the entire batch of 1,000 XPS boards was 1,500.2 mm, with a standard deviation of 0.4 mm, and there were no defective products. All operational data were fully recorded and uploaded to the factory's MES system for subsequent process analysis.

[0032] Example 2 Please see Figs. 2-3 This embodiment provides an intelligent segmentation control system for XPS polystyrene extruded board, which applies an intelligent segmentation control method for XPS polystyrene extruded board as described above. The system includes a dynamic data acquisition module, an adaptive prediction compensation module, an edge positioning correction module, a servo following cross-cutting module, a multi-specification parameter library management module, and an online quality feedback optimization module. The dynamic data acquisition module acquires the continuous displacement of the XPS board through a high-resolution rotary encoder and transmits it to the PLC controller to calculate the instantaneous travel speed and form a dynamic speed curve. The adaptive prediction and compensation module is used to perform local linear fitting of the dynamic velocity curve using the sliding window method and calculate the theoretical cutting trigger point; the ideal cutting trigger point is corrected by introducing an elastic deformation compensation coefficient to generate the final cutting trigger point pulse threshold. The edge positioning correction module, based on the lateral deviation correction control mechanism, is used to monitor and correct the lateral position deviation of the XPS board during its movement in real time. The servo-following cross-cutting module performs servo-following cross-cutting and adaptive reset control through the servo-driven cross-cutting system. The multi-specification parameter library management module achieves adaptive loading through the process parameters of the multi-specification parameter library; The online quality feedback optimization module captures XPS board cut images through a visual inspection component, analyzes the straightness, perpendicularity, and burr width of the cut, and achieves closed-loop self-optimization control through threshold setting.

[0033] All content not described in detail in this specification is prior art known to those skilled in the art, and the model parameters of each electrical appliance are not specifically limited; conventional equipment can be used. Electrical control components not mentioned in this technical solution are not shown in the figures because they are prior art, and will not be described further here.

[0034] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for controlling a sheet-splitting machine of XPS polystyrene extruded board, characterized in that: include: S1. The continuous displacement of the XPS board is obtained through a high-resolution rotary encoder and transmitted to the PLC controller to calculate the instantaneous travel speed and form a dynamic speed curve. S2. Use the sliding window method to perform local linear fitting on the dynamic velocity curve and calculate the theoretical cutting trigger point; By introducing an elastic deformation compensation coefficient to correct the ideal cutting trigger point, the final cutting trigger point pulse threshold is generated. S3. Based on the lateral correction control mechanism, monitor and correct the lateral position deviation of the XPS board during its movement in real time. S4. Based on the modifications of S2 and S3, servo-driven cross-cutting system performs servo-following cross-cutting and adaptive reset control. S5. Construct a multi-specification parameter library and implement adaptive loading based on the process parameters of the multi-specification parameter library; S6. Capture XPS board cut images through a vision inspection component, analyze the straightness, perpendicularity and burr width of the cut, and achieve closed-loop self-optimization control through threshold setting.

2. The method for controlling the slitting machine of XPS polystyrene extruded board according to claim 1, characterized in that: S1 includes: The continuous displacement of the XPS board is acquired in real time by a high-resolution rotary encoder installed at the end of the active traction roller, and orthogonal A / B phase signals are output; the high-resolution rotary encoder has an anti-electromagnetic interference shielding design. The orthogonal A / B phase signals are acquired by a high-speed counting card and then transmitted to the PLC controller. The PLC controller reads the cumulative pulse count in 1ms intervals, calculates the instantaneous travel speed using the pulse increment between two adjacent sampling cycles, and generates a dynamic speed curve based on the instantaneous travel speed.

3. The method for controlling the slitting machine of XPS polystyrene extruded board according to claim 2, characterized in that: S2 includes: The velocity data of the most recent 200ms from the dynamic velocity curve is extracted as a sliding window. The weighted least squares method is used for linear fitting to obtain the velocity-time function, and the distance traveled from the current moment to the next target cutting point is calculated. When the cumulative displacement reaches the target segment length, the corresponding number of pulses is the theoretical cutting trigger point. In addition, an elastic deformation compensation coefficient is introduced to correct the ideal cutting trigger point and generate the final cutting trigger point pulse threshold.

4. The method for controlling the slitting machine of XPS polystyrene extruded board according to claim 3, characterized in that: The S3 includes: A non-contact laser rangefinder array is installed on the side of the XPS board to collect its lateral position data. The lateral position data is processed by Kalman filtering and then input to the PLC controller. High-precision measurement points are arranged along the width direction of the XPS board at the left edge, the right side of the center line, and the right edge to detect the offset of the XPS board's edge contour in real time. The angle and displacement deviation between the actual running axis of the XPS board and the ideal center line are accurately calculated through three-point fitting. Once the lateral displacement deviation is detected to exceed ±2mm, the PLC controller immediately starts the lateral correction control mechanism, calculates the required adjustment angle of the guide roller based on the displacement deviation, and outputs a PWM signal. The PWM signal is used to drive the servo motor to adjust the deflection angle of the guide roller.

5. The method for controlling the slitting machine of XPS polystyrene extruded board according to claim 4, characterized in that: The S4 includes: The servo-driven cross-cutting system adopts a dual-servo motor cooperative drive structure. The main spindle servo motor is responsible for the vertical lifting and lowering motion of the cutter, while the secondary spindle servo motor drives the cutter assembly to move horizontally along the XPS board's travel direction. When the PLC controller issues a cutting command, the servo-driven cross-cutting system executes the following steps: The secondary shaft servo motor is started, driving the cutter assembly to move synchronously along the XPS board's travel direction. The target following displacement is generated by integrating the dynamic velocity curve provided by S1, and a position closed loop is formed by a high-precision grating ruler to ensure that the horizontal relative position error between the cutter and the XPS board during the following process is less than 0.05mm. While the secondary spindle servo motor achieves horizontal synchronous following motion, the main spindle servo motor drives the cutter to cut into the XPS board along the vertical direction according to a preset acceleration curve; the horizontal following and vertical cutting motions are strictly synchronized through electronic gear coupling, so that the absolute speed of the cutter blade during the cutting process is consistent with the instantaneous speed of the XPS board. After completing a full cutting action, the cutter uses a graded deceleration strategy to rise vertically and reset. After resetting, the servo-driven cross-cutting system automatically returns to standby mode, waiting for the next trigger signal.

6. The method for controlling the slitting machine of XPS polystyrene extruded board according to claim 3, characterized in that: The S5 includes: The multi-specification parameter library pre-stores no less than 20 sets of product process parameter combinations with different thicknesses, densities and slice lengths. Each set of process parameter combinations is indexed by the product's thickness, density and target length, and fully includes the key control parameters required for product production. Once the product model is selected, the corresponding complete parameter set is automatically loaded from the multi-specification parameter library and sent to the corresponding control modules S1-S4 for execution. In addition, the system has a built-in conflict detection mechanism. If there is a serious deviation between the key control parameters and the current device status or the real-time detection value of the XPS board, execution will be prohibited and a warning will be issued.

7. The method for controlling the slitting machine of XPS polystyrene extruded board according to claim 6, characterized in that: The S6 includes: The visual inspection component uses an industrial-grade CMOS camera with a telecentric lens, achieving an image resolution of 1280×960 pixels. The accompanying image processing algorithm can identify burr areas with a width greater than 0.2mm, calculate the angle between the cut and the baseline, and determine whether the perpendicularity deviation exceeds ±1.5°. The XPS board cutout image is transmitted to the edge computing unit for analysis in real time via the GigE Vision protocol. If any indicator is detected to exceed the allowable threshold set in the S5 multi-specification parameter library three times in a row, a level three alarm will be triggered immediately. Upon triggering a Level 3 alarm, the parameter optimization process is initiated: the current abnormal XPS board cut image is sent back to the PLC controller, and based on the data of historical qualified cutting events, an incremental PID adjustment strategy is used to fine-tune the key control parameters until the subsequent five consecutive XPS board cut images are all qualified.

8. A control system for a slitting machine of XPS polystyrene extruded board, characterized in that: The slitting machine control method for XPS polystyrene extruded boards as described in any one of claims 1-8, the system includes a dynamic data acquisition module, an adaptive prediction compensation module, an edge positioning correction module, a servo following cross-cutting module, a multi-specification parameter library management module, and an online quality feedback optimization module; The dynamic data acquisition module acquires the continuous displacement of the XPS board through a high-resolution rotary encoder and transmits it to the PLC controller to calculate the instantaneous travel speed and form a dynamic speed curve. The adaptive prediction and compensation module is used to perform local linear fitting of the dynamic velocity curve using the sliding window method and to calculate the theoretical cutting trigger point. By introducing an elastic deformation compensation coefficient to correct the ideal cutting trigger point, the final cutting trigger point pulse threshold is generated. The edge positioning correction module, based on the lateral deviation correction control mechanism, is used to monitor and correct the lateral position deviation of the XPS board during its movement in real time. The servo-following cross-cutting module performs servo-following cross-cutting and adaptive reset control through the servo-driven cross-cutting system. The multi-specification parameter library management module achieves adaptive loading through the process parameters of the multi-specification parameter library; The online quality feedback optimization module captures XPS board cut images through a visual inspection component, analyzes the straightness, perpendicularity, and burr width of the cut, and achieves closed-loop self-optimization control through threshold setting.

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