Method, apparatus and device for slitting a web

Abstract

The application discloses a coil slitting method, device and equipment, and relates to the technical field of mechanical manufacturing. The method comprises the following steps: generating a plurality of primary cutting schemes according to mother roll data, required strip material and a cutting process, wherein the cutting scheme comprises a slitting tool; for each primary cutting scheme, calculating a trimming allowance based on the mother roll data and the slitting tool, and determining a quality factor corresponding to the trimming allowance and a trimming interval to which the trimming allowance belongs based on the trimming allowance and a preset trimming quality curve; performing risk judgment on each primary cutting scheme based on the quality factor, and removing the primary cutting schemes that do not pass the risk judgment; for each candidate cutting scheme that passes the risk judgment, calculating an action score by using a corresponding scoring rule according to the trimming interval to which the trimming allowance belongs; and selecting a target cutting scheme from the candidate cutting schemes according to the action score for execution. The application can better meet the actual production scene demand on the basis of ensuring production safety by considering different resource states.

Description

Technical Field

[0001] This application relates to the field of mechanical manufacturing technology, and in particular to a method, apparatus and equipment for slitting coiled materials. Background Technology

[0002] Continuous coil materials such as metal coils, steel coils, and strips often require slitting or longitudinal cutting during production. This involves dividing a master coil of a certain width into multiple strips of target width according to order specifications. Coil slitting and layout refers to the process planning and optimization of cutting a wide master coil into multiple narrow finished coils using a slitting machine.

[0003] Traditional roll slitting and layout methods typically prioritize minimizing trimming allowances, aiming for less waste and higher utilization rates. However, in actual production, narrower trimming allowances are not always better. While excessively narrow allowances may result in high surface utilization, they can lead to risks such as tape breakage, misalignment, abnormal burrs, downtime, or even complete roll failure. Furthermore, trimming allowances are not necessarily waste; they can also create reusable rolls.

[0004] In summary, the traditional roll slitting and layout method, which focuses on minimizing the trimming allowance, cannot adequately meet the needs of actual production scenarios. Summary of the Invention

[0005] This application provides a method, apparatus, and equipment for slitting rolls of material, which aims to solve the technical problem that traditional roll slitting and layout methods, which prioritize narrow trimming allowances, cannot adequately meet the needs of actual production scenarios.

[0006] Firstly, this application provides a method for slitting roll material, the method comprising: Based on the master roll data, required strip material, and cutting process, several preliminary cutting schemes are generated, including the slitting method; For each initially selected cutting scheme, the trimming allowance is calculated based on the master roll data and the slitting knife method, and the quality factor and trimming interval corresponding to the trimming allowance are determined based on the trimming allowance and the preset trimming quality curve. Each preliminary cutting scheme is risk-assessed based on a quality factor, and the preliminary cutting schemes that fail the risk assessment are eliminated. For each candidate cutting scheme that passes the risk assessment, the action score is calculated according to the trimming interval to which the trimming allowance belongs, using the corresponding scoring rules. The target cutting scheme is selected from the candidate cutting schemes based on the action score for execution.

[0007] Optionally, the trimming area includes a narrow edge risk area, a normal waste edge area, and a reusable excess roll area; The determination of the quality factor and trimming interval corresponding to the trimming allowance based on the trimming allowance and the preset trimming quality curve specifically includes: Compare the trimming allowance with the narrow edge risk area threshold and excess roll area threshold in the preset trimming quality curve parameters; If the trimming allowance is less than or equal to the threshold of the narrow edge risk zone, then the trimming interval to which the trimming allowance belongs is determined to be the narrow edge risk zone. If the trimming allowance is greater than the threshold of the narrow edge risk area but less than the threshold of the excess roll area, then the trimming interval to which the trimming allowance belongs is determined to be the ordinary waste edge area. If the trimming allowance is greater than or equal to the threshold of the excess roll area, then the trimming interval to which the trimming allowance belongs is determined to be a reusable excess roll area. Using the trimming allowance and the curve coefficients in the preset trimming quality curve parameters, the quality factor corresponding to the trimming allowance is calculated through a mathematical model.

[0008] Optionally, the step of assessing the risk of each preliminary cutting scheme based on a quality factor and eliminating preliminary cutting schemes that fail the risk assessment specifically includes: Compare the quality factor and preset safety threshold corresponding to the trimming allowance of each initially selected cutting scheme; If the quality factor corresponding to the trimming allowance is lower than the preset safety threshold, and the initial cutting scheme does not meet the preset exception conditions, then the initial cutting scheme is determined to have failed the risk assessment. If the quality factor corresponding to the trimming allowance is not lower than the preset safety threshold, or if the initial cutting scheme meets the preset exception conditions, then the initial cutting scheme is determined to pass the risk assessment. The preset exception conditions include emergency or delivery default orders, no alternative safe cutting method, authorized and short-segment trial cutting. From all the preliminary cutting schemes, those that failed the risk assessment are removed, resulting in each candidate cutting scheme that passed the risk assessment.

[0009] Optionally, the step of calculating the action score based on the corresponding scoring rule according to the trimming interval to which the trimming allowance belongs specifically includes: If the trimming allowance belongs to a narrow-edge risk zone, then the total input weight of the entire operating segment corresponding to the candidate cutting scheme is used as the penalty object, and the penalty score is calculated using Formula 1, which is: The penalty score for the narrow-edge risk zone = the total input weight of the entire running segment corresponding to the candidate cutting scheme × (1-y) × risk weight; If the trimming allowance belongs to the ordinary waste trimming zone, then the weight of waste generated by the candidate cutting scheme is used as the penalty object, and the penalty score is calculated using Formula 2. Formula 2 is: The penalty score for a normal waste boundary area = the weight corresponding to max(xg, 0) × (1-y) × waste weight; If the trimming margin belongs to the reusable remnant area, calculate the penalty score through Formula 3 based on the basic waste penalty, the value of the reusable remnant, and the management cost of the reusable remnant. The Formula 3 is: Penalty score for the reusable remnant area = Basic waste penalty - Value of the reusable remnant + Management cost of the reusable remnant, where, Basic waste penalty = Weight corresponding to max(x - g, 0) × Waste weight, Value of the reusable remnant = Weight of the reusable remnant × y × Weight factor of the reusable remnant value, Management cost of the reusable remnant = Weight of the reusable remnant × Management rate of the reusable remnant × Management cycle coefficient, y is the quality factor, x is the trimming margin, and g is the golden trimming width; Calculate the action score based on the penalty score and comprehensive factors. The comprehensive factors include effective output revenue, order overproduction penalty, remaining underdelivery penalty after the expected execution of the target cutting plan, head and tail loss penalty, tool and roll change penalty, new roll activation penalty, and remnant management penalty.

[0010] Optionally, use the trimming margin and the curve coefficient in the preset trimming quality curve parameters to calculate the quality factor corresponding to the trimming margin through a mathematical model, specifically including: If the trimming margin belongs to the narrow - edge risk area, use the trimming margin and the narrow - edge risk area curve coefficient in the preset trimming quality curve parameters to calculate the quality factor corresponding to the trimming margin through Formula 4. The Formula 4 is: y = exp(-(x - g) , ,

[0011] , , / a1); If the trimming margin belongs to the ordinary waste area, use the trimming margin and the ordinary waste area curve coefficient in the preset trimming quality curve parameters to calculate the quality factor corresponding to the trimming margin through Formula 5. The Formula 5 is: y = exp(-(x - g) 2 / a2); If the trimming margin belongs to the reusable remnant area, use the trimming margin and the reusable remnant area curve coefficient in the preset trimming quality curve parameters to calculate the quality factor corresponding to the trimming margin through Formula 6. The Formula 6 is: y = b / (1 + exp(-a3 × (x - c))); Where, y is the quality factor, x is the trimming margin, g is the golden trimming width, a1 is the narrow - edge risk area curve coefficient, a2 is the ordinary waste area curve coefficient, a3 is the reusable remnant area curve coefficient, b is the value upper limit of the reusable remnant, 0 < b ≤ 1, and c is the curve recovery center.

[0011] Optionally, after selecting the target cutting plan from the candidate cutting plans for execution according to the action score, it further includes: The quantity of strips produced by the execution of the target cutting scheme is reduced by the quantity of required strips. If the trimming allowance generated by the execution of the target cutting scheme forms a reusable spare volume, then the reusable spare volume will be included in the parent volume data.

[0012] Optionally, the roll slitting method further includes: Multiple sets of strategy parameters are generated to generate numerical offsets. The strategy parameters include configuration parameters for generating the initial cutting scheme and scoring parameters for calculating the action score. Multiple preliminary cutting schemes are generated for each set of strategy parameters, and risk assessment and action score calculation are performed to obtain the cutting schemes corresponding to each set of strategy parameters for selection. Record the parameter characteristics of the selected cutting scheme and the corresponding strategy parameters. Perform scenario-specific statistics and preference learning on the parameter characteristics of the selected cutting scheme to enable subsequent selection of corresponding strategy parameters based on the scenario.

[0013] Optionally, the roll slitting method further includes: Historical cutting data are grouped according to the material of the roll, the thickness of the roll, the cutting equipment, the condition of the cutting tool, and the operating speed. Within each group, the breakage rate, downtime rate, deviation rate, defect rate, and success rate of reusing surplus rolls are statistically analyzed according to the trimming width. The preset trimming quality curve parameters are generated or updated based on statistical results. The parameters include the golden trimming width, the narrow edge risk zone threshold, the excess roll zone threshold, and the curve coefficient of each trimming interval. The parameters are continuously updated using a data smoothing update algorithm.

[0014] Secondly, this application provides a roll slitting device, the roll slitting device comprising: The generation module is used to generate multiple preliminary cutting schemes based on the master roll data, required strip material and cutting process, and the cutting schemes include the slitting method; The calculation module is used to calculate the trimming allowance based on the master roll data and the slitting knife method for each initially selected cutting scheme, and to determine the quality factor and trimming interval corresponding to the trimming allowance based on the trimming allowance and the preset trimming quality curve. The judgment module is used to assess the risk of each preliminary cutting scheme based on the quality factor and eliminate the preliminary cutting schemes that fail the risk assessment. The scoring module is used to calculate the action score for each candidate cutting scheme that passes the risk assessment, based on the trimming interval to which the trimming allowance belongs, using the corresponding scoring rules. The execution module is used to select the target cutting scheme from the candidate cutting schemes based on the action score for execution.

[0015] Thirdly, this application provides a roll slitting device, including a processor, a memory, and a roll slitting program stored in the memory and executable by the processor, wherein when the roll slitting program is executed by the processor, it implements the steps of the roll slitting method as described above.

[0016] The beneficial effects of the technical solution provided in this application include: In this application, multiple preliminary cutting schemes are generated based on master roll data, required strips, and cutting processes. These cutting schemes include slitting methods. For each preliminary cutting scheme, a trimming allowance is calculated based on the master roll data and the slitting method. The quality factor and trimming interval corresponding to the trimming allowance are determined based on the trimming allowance and a preset trimming quality curve. A risk assessment is performed on each preliminary cutting scheme based on the quality factor, and schemes that fail the risk assessment are eliminated. For each candidate cutting scheme that passes the risk assessment, an action score is calculated using the corresponding scoring rules based on the trimming interval to which the trimming allowance belongs. A target cutting scheme is selected from the candidate cutting schemes based on the action score for execution. This application, by generating "multiple" preliminary schemes, constructs a rich solution space, providing a screening basis for subsequent risk assessment and scoring, and improving the global optimization capability of roll slitting and layout. Breaking away from the traditional linear thinking of "the narrower the trimming, the better," this system introduces a trimming quality curve and a partitioning mechanism. It transforms the physical width value into a "quality factor" representing risk and value, enabling subsequent decisions to quantify the implicit costs (such as downtime risk) and implicit benefits (such as reusing excess rolls) brought about by trimming. This avoids the problem of traditional methods failing to distinguish the consequences of trimming at different widths. By eliminating high-risk initial cutting schemes through quality factors, the system significantly reduces the breakage rate, downtime rate, and the resulting equipment damage and delivery delay risks during production. Through differentiated action scoring rules, the system can more accurately reflect the true economic benefits of each cutting scheme. Automatic selection of target cutting schemes based on quantified action scoring replaces subjective decisions relying on human experience, improving slitting and layout efficiency and ensuring consistency in decision-making standards. This application avoids the traditional roll slitting and layout method's primary optimization goal of maximizing trimming allowance, better meeting the needs of actual production scenarios. Attached Figure Description

[0017] Figure 1 This is a schematic flowchart of an embodiment of the roll material slitting method of this application; Figure 2 For this application Figure 1 A detailed flowchart of step S30; Figure 3 This is another schematic flowchart of an embodiment of the roll material slitting method of this application; Figure 4This is a schematic diagram of the functional modules of an embodiment of the roll slitting device of this application; Figure 5 This is a schematic diagram of the hardware structure of the roll slitting equipment involved in the embodiments of this application. Detailed Implementation

[0018] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0020] In a first aspect, embodiments of this application provide a method for slitting rolls of material.

[0021] In one embodiment, reference is made to Figure 1 , Figure 1 This is a schematic flowchart of an embodiment of the roll material slitting method of this application, as shown below. Figure 1 As shown, the roll slitting method includes: Step S10: Based on the master roll data, required strip material and cutting process, generate multiple preliminary cutting schemes, including the slitting method.

[0022] In this embodiment, the slitting and layout of coil materials involves cutting a wide master roll into multiple narrow finished rolls (i.e., required strips) using a slitting machine. Master roll data may include the width, weight, length, material grade, thickness, and current operational status of the master roll. Required strip data may include order number, target width, required length, quantity, pitch, and delivery date information. The cutting process includes the maximum number of blades on the equipment, blade status, operating speed limits, and head and tail wear standards. The method for generating multiple preliminary cutting schemes is not limited here; for example, combinatorial optimization algorithms or heuristic rules can be used to arrange and combine various different slitting blade layouts under hard constraints such as the total order width not exceeding the usable width of the master roll and the number of blades not exceeding the equipment's upper limit. Traditional coil slitting and layout methods often directly seek a single optimal solution (e.g., the highest utilization rate), easily falling into local optima, which does not conform to actual production scenarios. This step, by generating "multiple" preliminary schemes, constructs a rich solution space. This not only provides a screening basis for subsequent risk assessment and scoring, but also ensures that the system will not miss potential better solutions due to the limitations of a single strategy when facing complex order combinations, thus improving the global optimization capability of roll material slitting and layout.

[0023] Step S20: For each initially selected cutting scheme, calculate the trimming allowance based on the master roll data and the slitting knife method, and determine the quality factor and trimming interval corresponding to the trimming allowance based on the trimming allowance and the preset trimming quality curve.

[0024] In this embodiment, the trimming allowance x is calculated by subtracting the total width U from the width W of the master roll. The preset trimming quality curve is a functional relationship calibrated in advance using historical production data or trial cutting data, used to characterize the nonlinear relationship between trimming width and production quality stability and resource value. The system first compares the calculated trimming allowance x with the preset narrow edge risk zone threshold r and excess roll zone threshold q, thereby dividing the trimming allowance into narrow edge risk zone, ordinary waste edge zone, and reusable excess roll zone. Subsequently, the system selects the corresponding mathematical model (such as Gaussian function or Sigmoid function) to calculate the quality factor y according to the interval. The core of this step is to break the traditional linear thinking that "the narrower the trimming, the better." In fact, excessively narrow trimming will lead to a surge in the risk of strip breakage, while excessively wide trimming may form reusable resources. By introducing the trimming quality curve and the partitioning mechanism, the system transforms the physical width value into a "quality factor" that characterizes risk and value. This allows subsequent decisions to quantify the implicit costs (such as downtime risk) and implicit benefits (such as roll reuse) of trimming, avoiding the problem that traditional methods cannot distinguish the consequences of trimming at different widths.

[0025] Step S30: Based on the quality factor, perform risk assessment on each preliminary cutting scheme and eliminate the preliminary cutting schemes that fail the risk assessment.

[0026] In this embodiment, risk assessment serves as an "admission mechanism" for candidate actions. The system compares the quality factor y of each solution with a preset safety threshold. If the quality factor is too low, it indicates that the trimming width corresponding to the solution is in a high-risk area (e.g., extremely prone to tape breakage), and it is generally rejected. However, to ensure production flexibility, the system sets exceptions, such as urgent orders, no alternative safe cutting methods, manual authorization, or short-segment trial cutting, allowing high-risk solutions to pass under controlled conditions. Placing risk assessment before scoring ensures "safety first, efficiency second," essentially setting up a safety firewall. If high-risk solutions are allowed to enter the scoring stage, their extremely high material utilization score might mask the significant risk of causing a complete production line shutdown. Through pre-elimination, this step effectively avoids the selection of "false optimal solutions," significantly reducing the tape breakage rate, downtime rate, and the resulting equipment damage and delivery delay risks during production.

[0027] Step S40: For each candidate cutting scheme that passes the risk assessment, calculate the action score according to the trimming interval to which the trimming allowance belongs using the corresponding scoring rules.

[0028] In this embodiment, the action score is an indicator that comprehensively considers both benefits and costs. The penalty object differs for different trimming zones: for example, in the narrow-edge risk zone, the penalty object is "the total weight of the entire running section," because if the tape breaks, the entire section of material may be scrapped; in the ordinary scrap zone, the penalty object is "the weight of scrap exceeding the golden width"; in the reusable roll zone, the penalty object is "net management cost" (scrap penalty minus roll value plus management cost). Furthermore, the action score calculation can also incorporate comprehensive factors such as effective output benefits, late delivery penalties, and tool replacement costs. This step achieves "tiered penalties" and "value closure." Logically, different types of trimming allowances have different dimensions of impact on production costs. Narrow edges affect production stability (risk costs), scrap edges affect material costs, and rolls affect inventory management costs. Through differentiated action score rules, the system can more accurately reflect the true economic benefits of each cutting scheme. In particular, incorporating the value of reusable rolls into the score deduction encourages the system to generate rolls at appropriate times, thereby improving long-term material utilization.

[0029] Step S50: Select the target cutting scheme from the candidate cutting schemes based on the action score for execution.

[0030] In this embodiment, the system ranks all candidate cutting schemes by their action scores, typically selecting the scheme with the highest action score (or the lowest overall cost) as the target cutting scheme. After selection, the system sends this scheme to the slitting equipment control system to guide the tool holder adjustment and production operation. Automatic selection of the target cutting scheme based on quantified action scores replaces subjective decision-making relying on human experience. This not only improves slitting and nesting efficiency but also ensures consistency in decision-making criteria. The target cutting scheme selected by the algorithm is the optimal solution that comprehensively balances material utilization, production risk, order delivery, and inventory costs while meeting safety access requirements, thus maximizing production efficiency.

[0031] In this embodiment, steps S10 to S50 constitute a complete intelligent decision-making closed loop for roll slitting. From scheme generation to risk filtering, and then to refined scoring and execution, each step is data-driven. Through this application, enterprises can filter risky cutting schemes, improve production safety, divide trimming intervals by trimming allowance, and optimize cutting schemes through action scoring. This allows for consideration of different resource states while ensuring production safety, avoiding the traditional roll slitting and layout method that prioritizes the narrowest possible trimming allowance. This better meets the needs of actual production scenarios. This application is easy to embed into existing APS (Advanced Planning System), MES (Manufacturing Execution System), or layout systems. This application can be used as a candidate action scoring and status update module without requiring replacement of existing cutting method generators or scheduling solvers.

[0032] In this embodiment, referring to Table 1, which is a comparison of the processing of different cutting schemes in this application with the traditional scheme, this application does not simply pursue the smaller the trimming edge, nor does it regard all wider trimming edges as waste. Instead, it changes the scoring object and status update method according to the actual production consequences corresponding to the trimming edge width.

[0033] Table 1. Comparison of different cutting schemes and traditional methods in this application.

[0034] Further, in one embodiment, the trimming interval includes a narrow edge risk area, a normal waste edge area, and a reusable excess roll area; the step of determining the quality factor corresponding to the trimming allowance and the trimming interval to which it belongs based on the trimming allowance and a preset trimming quality curve specifically includes: Compare the trimming allowance with the narrow edge risk area threshold and excess roll area threshold in the preset trimming quality curve parameters; If the trimming allowance is less than or equal to the threshold of the narrow edge risk zone, then the trimming interval to which the trimming allowance belongs is determined to be the narrow edge risk zone. If the trimming allowance is greater than the threshold of the narrow edge risk area but less than the threshold of the excess roll area, then the trimming interval to which the trimming allowance belongs is determined to be the ordinary waste edge area. If the trimming allowance is greater than or equal to the threshold of the excess roll area, then the trimming interval to which the trimming allowance belongs is determined to be a reusable excess roll area. Using the trimming allowance and the curve coefficients in the preset trimming quality curve parameters, the quality factor corresponding to the trimming allowance is calculated through a mathematical model.

[0035] In this embodiment, the threshold *r* for the narrow-edge risk zone is typically set as the critical width at which the breakage rate or defect rate increases significantly. For example, for steel coils of a specific thickness, a width less than 5 mm may enter the risk zone. The threshold *q* for the surplus coil zone is set based on the minimum required width for subsequent orders and inventory management costs. For example, a width greater than 200 mm can be considered a reusable surplus coil. The quality factor is calculated using a piecewise function: in the risk zone, the quality factor drops sharply as the width decreases, reflecting an increase in the risk index; in the ordinary scrap zone, the quality factor remains relatively stable; in the reusable surplus coil zone, the quality factor increases with the width, reflecting an increase in resource value. The logic behind this partitioning definition is the different production attributes exhibited by trimming allowance at different physical scales. Narrow edges mainly reflect process risks, medium widths reflect pure scrap, and wide edges reflect potential inventory resources. Through threshold division and corresponding curve calculations, the system discretizes the continuous width variable into status labels with clear business meanings. This allows subsequent action scoring to adopt different processing strategies for different trimming allowance ranges, avoiding decision-making bias caused by a "one-size-fits-all" approach and greatly improving process adaptability.

[0036] Furthermore, in one embodiment, reference is made to Figure 2 , Figure 2 For this application Figure 1 A detailed flowchart of step S30 is shown below. Figure 2 As shown, step S30 includes: Step S301: Compare the quality factor and preset safety threshold corresponding to the trimming allowance of each initially selected cutting scheme; Step S302: If the quality factor corresponding to the trimming allowance is lower than the preset safety threshold, and the initial cutting scheme does not meet the preset exception conditions, then the initial cutting scheme is determined to have failed the risk assessment. Step S303: If the quality factor corresponding to the trimming allowance is not lower than the preset safety threshold, or the initial cutting scheme meets the preset exception conditions, then the initial cutting scheme is determined to pass the risk assessment. The preset exception conditions include emergency or delivery default orders, no alternative safe cutting method, authorized and short-segment trial cutting. Step S304: From all the preliminary cutting schemes, remove the preliminary cutting schemes that fail the risk assessment, and obtain each candidate cutting scheme that passes the risk assessment.

[0037] In this embodiment, the preset safety threshold is an empirical value derived from historical production accident statistics. For example, a quality factor below the preset safety threshold of 0.6 is considered high-risk. The exception conditions are designed to address the complexity of the production environment. For instance, when an order delivery date is extremely urgent and no other master rolls are available, the system allows risk assessment to proceed only after manual confirmation or short-segment trial cutting (cutting a small section to verify quality). The risk assessment logic employs a "principle-based interception + exception-based release" mechanism. Principle-based interception ensures the stability of daily production and prevents the system from automatically selecting high-risk solutions; exception-based release ensures the system's flexibility and emergency response capabilities. This design avoids both overly conservative approaches leading to production delays and overly aggressive approaches leading to production accidents, achieving a balance between risk control and production delivery.

[0038] Furthermore, in one embodiment, the step of calculating the action score based on the corresponding scoring rule according to the trimming interval to which the trimming allowance belongs specifically includes: If the trimming allowance belongs to a narrow-edge risk zone, then the total input weight of the entire operating segment corresponding to the candidate cutting scheme is used as the penalty object, and the penalty score is calculated using Formula 1, which is: The penalty score for the narrow-edge risk zone = the total input weight of the entire running segment corresponding to the candidate cutting scheme × (1-y) × risk weight; If the trimming allowance belongs to the ordinary waste trimming zone, then the weight of waste generated by the candidate cutting scheme is used as the penalty object, and the penalty score is calculated using Formula 2. Formula 2 is: The penalty score for a normal waste boundary area = the weight corresponding to max(xg, 0) × (1-y) × waste weight; If the trimming allowance belongs to a reusable roll area, the penalty score is calculated using Formula 3 based on the basic waste penalty, the value of reusable rolls, and the management cost of reusable rolls. Formula 3 is as follows: The penalty score for the reusable roll area = basic waste penalty - reusable roll value + reusable roll management cost, where, basic waste penalty = weight corresponding to max(xg, 0) × waste weight, reusable roll value = reusable roll weight × y × reusable roll value weight, and reusable roll management cost = reusable roll weight × reusable roll management fee rate × management cycle coefficient, where y is the quality factor, x is the trimming allowance, and g is the golden trimming width; Action scores are calculated based on penalty scores and comprehensive factors, including effective output revenue, order overproduction penalty, remaining under-delivery penalty after the expected execution of the target cutting plan, head and tail loss penalty, tool and roll replacement penalty, new roll activation penalty, and remaining roll management penalty.

[0039] In this embodiment, the design logic of Formula 1 is that once the narrow edge risk is triggered (such as tape breakage), the loss is the entire roll of input material, not just the edge wire; therefore, the penalty target is "the input weight of the entire operating segment." Formula 2 focuses on ineffective waste exceeding the golden trimming width g. Formula 3 embodies the logic of "turning waste into treasure," reducing the total penalty score of the scheme by subtracting the "value of reusable spare rolls," encouraging the generation of valuable spare rolls, but simultaneously adding "management costs" to prevent the system from deliberately creating too many spare rolls to offset penalties, leading to inventory backlog. This differentiated penalty scoring formula accurately maps the economics of different trimming states. Narrow edge risk corresponds to "accident costs," ordinary scrap edge corresponds to "material loss costs," and reusable spare rolls correspond to "net inventory costs." By introducing a quality factor y as an adjustment coefficient, the score can also dynamically reflect the risk level under the current process conditions. This makes the final selected target cutting scheme not only theoretically the most efficient but also the lowest in terms of overall cost (including risk costs and inventory costs) in actual implementation, significantly improving the company's lean production level. To avoid excessive deductions that could lead to the system intentionally creating excessively large amounts of excess volume, a lower limit for excess volume penalties can be further set based on Formula 3: Penalty score for reusable excess volume area = max(penalty score for reusable excess volume area, lower limit for excess volume penalties).

[0040] Furthermore, in one embodiment, the step of using the trimming allowance and the curve coefficient in the preset trimming quality curve parameters to calculate the quality factor corresponding to the trimming allowance through a mathematical model specifically includes: If the trimming allowance falls within a narrow-edge risk zone, then the quality factor corresponding to the trimming allowance is calculated using Formula 4, which combines the trimming allowance and the narrow-edge risk zone curve coefficient from the preset trimming quality curve parameters. Formula 4 is as follows: y=exp(-(xg) 2 / a1); If the trimming allowance belongs to the ordinary waste trimming zone, then the quality factor corresponding to the trimming allowance is calculated using Formula 5, which is based on the trimming allowance and the ordinary waste trimming zone curve coefficient in the preset trimming quality curve parameters. Formula 5 is: y=exp(-(xg) 2 / a2); If the trimming allowance belongs to a reusable roll area, then the quality factor corresponding to the trimming allowance is calculated using Formula Six, based on the trimming allowance and the reusable roll area curve coefficient in the preset trimming quality curve parameters. Formula Six is: y = b / (1 + exp(-a³ × (xc))); Among them, y is the quality factor, x is the trimming margin, g is the golden trimming width, a1 is the curve coefficient of the narrow-edge risk area, a2 is the curve coefficient of the ordinary waste area, a3 is the curve coefficient of the reusable remaining coil area, b is the upper limit of the value of the reusable remaining coil, 0 < b ≤ 1, and c is the center of the curve recovery.

[0041] In this embodiment, Formula 4 and Formula 5 adopt the Gaussian function form, centered on the golden trimming width g and decaying on both sides, simulating the downward trend of quality stability when the trimming width deviates from the optimal value. Among them, a1 is usually smaller than a2, indicating that the narrow-edge risk area is more sensitive to width changes. Formula 6 adopts the Sigmoid function form, simulating the characteristic that the value of the remaining coil gradually tends to saturation as the width increases. Point c represents the width position where the value starts to increase significantly. By using a specific mathematical model to fit the trimming quality curve, the calculation of the quality factor has continuity and differentiability, which is convenient for the processing of optimization algorithms. Using different coefficients in different intervals can finely depict the quality characteristics of different process stages. For example, the curve in the narrow-edge risk area is steeper, meaning that a small reduction in width will cause a large drop in the quality factor, resulting in a huge penalty in scoring. This forces the system to avoid high-risk narrow-edge solutions at the algorithm level, ensuring the scientificity and robustness of process parameters.

[0042] Further, in one embodiment, after step S50, it further includes: Deducting the number of required strip materials from the number of strip materials generated by executing the target cutting plan; If the trimming margin generated by executing the target cutting plan forms a reusable remaining coil, the reusable remaining coil is incorporated into the master coil data.

[0043] In this embodiment, after the system finishes executing the target cutting plan, it will automatically update the database. For the completed order requirements, they are verified and written off. For the generated reusable remaining coils, the system will generate new "master coil objects" or "remaining coil objects" for them, record their attributes such as width, length, and material, and mark them as available status to participate in the master coil data pool for the next strip layout calculation. The master coil data pool is used for generating the next primary cutting plan. Through this step, the "status closed-loop" of the system is achieved. Traditional methods often regard the remaining coil as a static record after production ends, while this solution dynamically incorporates it into the next input data. This means that the remaining coils generated in this production can be directly used as the master coil resources for the next production. This closed-loop management eliminates information islands, improves the turnover rate and reuse rate of the remaining coils, reduces the number of new coil startups, and further reduces the occupation of inventory funds and material waste. Among them, if the strip cutting equipment is double-sided trimming, the left continuous margin and the right continuous margin are calculated separately. Only when the continuous margin on one side reaches q, the corresponding reusable remaining coil object is generated. It is not possible to generate a reusable remaining coil object only based on the total trimming width on the left and right.

[0044] Furthermore, in one embodiment, the roll slitting method further includes: Multiple sets of strategy parameters are generated to generate numerical offsets. The strategy parameters include configuration parameters for generating the initial cutting scheme and scoring parameters for calculating the action score. Multiple preliminary cutting schemes are generated for each set of strategy parameters, and risk assessment and action score calculation are performed to obtain the cutting schemes corresponding to each set of strategy parameters for selection. Record the parameter characteristics of the selected cutting scheme and the corresponding strategy parameters. Perform scenario-specific statistics and preference learning on the parameter characteristics of the selected cutting scheme to enable subsequent selection of corresponding strategy parameters based on the scenario.

[0045] In this embodiment, the system generates multiple sets of strategy parameters by making minor numerical perturbations (e.g., ±5%) based on the baseline strategy parameters. Each set of strategy parameters includes configuration parameters for generating the initial cutting scheme (e.g., maximum number of cuts, allowable width range, minimum running length, whether to allow new rolls to be activated, and whether to prioritize inventory clearance, etc.) and scoring parameters for calculating action scores (e.g., yield weight, risk weight, scrap weight, remaining roll value weight, under-delivery weight, cutter change weight, and inventory clearance weight, etc.). Each set of strategy parameters will run a complete strip sorting process, ultimately displaying the top 10 preferred schemes under different strategies to the user. When the user selects a scheme, the system records the scenario characteristics (e.g., material, thickness, equipment, cutter status, order width distribution, order urgency, master roll inventory structure, remaining roll inventory status, top 10 result indicators, user selection result, and selection time, etc.) and the corresponding strategy parameters. Then, scenario-specific statistics and preference learning are performed. For example, one scenario grouping method is: material + thickness range + equipment + order urgency + inventory structure, forming scenario groups. Within each scenario group, the system tracks which outcome users prefer, such as: higher yield, lower risk, fewer tool changes, priority inventory clearance, higher reuse value of remaining rolls, and priority delivery time. Preference updates can be achieved using a simple exponential smoothing method: new strategy parameter = β × user's current strategy parameter + (1-β) × baseline strategy parameter, where β is the update step size. When encountering similar input scenarios later, the system prioritizes strategy parameters with higher historical selections in that scenario, improving the ranking of similar results in the Top 10. Different companies, workshops, and even work groups have different weight preferences for risk, cost, and delivery time. By recording user selection behavior, the system can gradually "learn" the specific management style of the company. This makes the system no longer a rigid, standard software, but an intelligent assistant that increasingly understands the company's needs as usage time increases, reducing the workload of repeated manual parameter tuning and improving user satisfaction and system implementation.

[0046] Furthermore, in one embodiment, the roll slitting method further includes: Historical cutting data are grouped according to the material of the roll, the thickness of the roll, the cutting equipment, the condition of the cutting tool, and the operating speed. Within each group, the breakage rate, downtime rate, deviation rate, defect rate, and success rate of reusing surplus rolls are statistically analyzed according to the trimming width. The preset trimming quality curve parameters are generated or updated based on statistical results. The parameters include the golden trimming width, the narrow edge risk zone threshold, the excess roll zone threshold, and the curve coefficient of each trimming interval. The parameters are continuously updated using a data smoothing update algorithm.

[0047] In this embodiment, the system periodically collects actual feedback data from the production site. For example, production records of the same material and thickness are grouped together, and the breakage frequency under different trimming widths is statistically analyzed. If the data shows an increase in the breakage rate within a certain width range, the system automatically increases the narrow-edge risk zone threshold r or adjusts the curve coefficient a1. The update algorithm uses exponential smoothing and other methods to reflect the latest trends while avoiding drastic parameter fluctuations caused by single abnormal data. This step achieves the "self-evolution" of process parameters. The actual production environment is dynamically changing (such as tool wear and material batch fluctuations), and fixed process parameters become invalid over time. Through continuous updates based on historical data, the trimming quality curve can always reflect the current true process capability. This ensures the timeliness and accuracy of risk assessment and scoring rules, enabling the system to adapt to long-term changes in the production environment and reducing process maintenance costs.

[0048] Reference Figure 3 , Figure 3 This is another schematic flowchart illustrating an embodiment of the roll material slitting method of this application, as shown below. Figure 3As shown, the overall process of the candidate action scoring and strategy preference adaptation for coil slitting in this application includes: 1. Inputting master roll data, order demand data, material data, equipment data, and initial process rules; 2. Grouping historical production data or trial cutting data according to material, thickness, equipment, tool status, and running speed; statistically analyzing the breakage rate, downtime rate, deviation rate, burr defect rate, edge quality defect rate, and surplus roll reuse success rate by trimming width; generating or updating trimming quality curve parameters, including the golden trimming width g, narrow edge risk zone upper limit r, surplus roll zone threshold q, risk zone curve coefficient a1, ordinary waste edge zone curve coefficient a2, and surplus roll zone recovery coefficient a3; 3. Generating candidate production actions (i.e., cutting schemes). Each candidate production action consists of master roll, slitting method, and running length; 4. Calculating the trimming allowance x of the candidate action, and obtaining the quality factor y and trimming interval (narrow edge risk zone / ordinary waste edge zone / reusable surplus roll zone) based on the quality curve; 5. Performing risk admission judgment. If y is below the safety threshold and does not meet exceptions such as delivery default, lack of alternative safe cutting methods, manual authorization, or short-segment trial cutting, then the candidate action will not be included in the final score; 6. For candidate actions that pass the admission criteria, calculate the corresponding penalty objects according to different trimming intervals, and form a candidate action score together with effective output benefits, remaining under-delivery, over-production, and tool / roll replacement after the action is executed; select the candidate action with the better score to execute, and update the order status, parent roll status, and remaining roll status; when a reusable remaining roll status object is generated, use it as the input for subsequent candidate action generation, inventory constraints, or scoring; 7. In the current strategy parameters 8. Generate several slightly offset strategy parameter sets on the baseline, and run the candidate action generation and scoring processes respectively to obtain multiple sets of feasible layout results; 9. Display the Top 10 results that pass the risk admission and have better comprehensive indicators to the user; 10. Record the user's final selection result, corresponding strategy parameters, input scenario features and key evaluation indicators; 11. Update the strategy preference model according to the input scenario based on the long-term accumulated selection records, and automatically adjust the strategy baseline or candidate result ranking in subsequent similar scenarios; 12. Form a state closed loop, and enter the next round of roll material slitting and layout process with new order, master roll, and remaining roll status.

[0049] Secondly, embodiments of this application also provide a roll slitting device.

[0050] In one embodiment, reference is made to Figure 4 , Figure 4 This is a functional module diagram of an embodiment of the roll slitting device of this application, as shown below. Figure 4 As shown, the roll slitting device includes: The generation module 10 is used to generate multiple preliminary cutting schemes based on the master roll data, required strip material and cutting process, wherein the cutting schemes include the slitting knife method; The calculation module 20 is used to calculate the trimming allowance based on the master roll data and the slitting knife method for each initially selected cutting scheme, and to determine the quality factor and trimming interval corresponding to the trimming allowance based on the trimming allowance and the preset trimming quality curve. The judgment module 30 is used to perform risk assessment on each preliminary cutting scheme based on the quality factor and eliminate the preliminary cutting schemes that fail the risk assessment. The scoring module 40 is used to calculate the action score for each candidate cutting scheme that passes the risk assessment, based on the trimming interval to which the trimming allowance belongs, using the corresponding scoring rules. The execution module 50 is used to select a target cutting scheme from the candidate cutting schemes for execution based on the action score.

[0051] Furthermore, in one embodiment, the trimming interval includes a narrow edge risk area, a normal waste edge area, and a reusable excess roll area; the calculation module 20 is also used for: Compare the trimming allowance with the narrow edge risk area threshold and excess roll area threshold in the preset trimming quality curve parameters; If the trimming allowance is less than or equal to the threshold of the narrow edge risk zone, then the trimming interval to which the trimming allowance belongs is determined to be the narrow edge risk zone. If the trimming allowance is greater than the threshold of the narrow edge risk area but less than the threshold of the excess roll area, then the trimming interval to which the trimming allowance belongs is determined to be the ordinary waste edge area. If the trimming allowance is greater than or equal to the threshold of the excess roll area, then the trimming interval to which the trimming allowance belongs is determined to be a reusable excess roll area. Using the trimming allowance and the curve coefficients in the preset trimming quality curve parameters, the quality factor corresponding to the trimming allowance is calculated through a mathematical model.

[0052] Furthermore, in one embodiment, the determination module 30 is used for: Compare the quality factor and preset safety threshold corresponding to the trimming allowance of each initially selected cutting scheme; If the quality factor corresponding to the trimming allowance is lower than the preset safety threshold, and the initial cutting scheme does not meet the preset exception conditions, then the initial cutting scheme is determined to have failed the risk assessment. If the quality factor corresponding to the trimming allowance is not lower than the preset safety threshold, or if the initial cutting scheme meets the preset exception conditions, then the initial cutting scheme is determined to pass the risk assessment. The preset exception conditions include emergency or delivery default orders, no alternative safe cutting method, authorized and short-segment trial cutting. From all the preliminary cutting schemes, those that failed the risk assessment are removed, resulting in each candidate cutting scheme that passed the risk assessment.

[0053] Furthermore, in one embodiment, the scoring module 40 is also used for: If the trimming allowance belongs to a narrow-edge risk zone, then the total input weight of the entire operating segment corresponding to the candidate cutting scheme is used as the penalty object, and the penalty score is calculated using Formula 1, which is: The penalty score for the narrow-edge risk zone = the total input weight of the entire running segment corresponding to the candidate cutting scheme × (1-y) × risk weight; If the trimming allowance belongs to the ordinary waste trimming zone, then the weight of waste generated by the candidate cutting scheme is used as the penalty object, and the penalty score is calculated using Formula 2. Formula 2 is: The penalty score for a normal waste boundary area = the weight corresponding to max(xg, 0) × (1-y) × waste weight; If the trimming allowance belongs to a reusable roll area, the penalty score is calculated using Formula 3 based on the basic waste penalty, the value of reusable rolls, and the management cost of reusable rolls. Formula 3 is as follows: The penalty score for the reusable roll area = basic waste penalty - reusable roll value + reusable roll management cost, where, basic waste penalty = weight corresponding to max(xg, 0) × waste weight, reusable roll value = reusable roll weight × y × reusable roll value weight, and reusable roll management cost = reusable roll weight × reusable roll management fee rate × management cycle coefficient, where y is the quality factor, x is the trimming allowance, and g is the golden trimming width; Action scores are calculated based on penalty scores and comprehensive factors, including effective output revenue, order overproduction penalty, remaining under-delivery penalty after the expected execution of the target cutting plan, head and tail loss penalty, tool and roll replacement penalty, new roll activation penalty, and remaining roll management penalty.

[0054] Furthermore, in one embodiment, the quality factor corresponding to the trimming allowance is calculated through a mathematical model using the trimming allowance and the curve coefficient in the preset trimming quality curve parameters, and is used for: If the trimming allowance falls within a narrow-edge risk zone, then the quality factor corresponding to the trimming allowance is calculated using Formula 4, which combines the trimming allowance and the narrow-edge risk zone curve coefficient from the preset trimming quality curve parameters. Formula 4 is as follows: y=exp(-(xg) 2 / a1); If the trimming allowance belongs to the ordinary waste trimming zone, then the quality factor corresponding to the trimming allowance is calculated using Formula 5, which is based on the trimming allowance and the ordinary waste trimming zone curve coefficient in the preset trimming quality curve parameters. Formula 5 is: y=exp(-(xg) 2 / a2); If the trimming margin belongs to the reusable remaining roll area of the trimming interval, use the trimming margin and the curve coefficient of the reusable remaining roll area in the preset trimming quality curve parameters to calculate the quality factor corresponding to the trimming margin through Formula 6, and the Formula 6 is: y = b / (1 + exp(-a3 × (x - c))); Where, y is the quality factor, x is the trimming margin, g is the golden trimming width, a1 is the curve coefficient of the narrow edge risk area, a2 is the curve coefficient of the ordinary waste edge area, a3 is the curve coefficient of the reusable remaining roll area, b is the upper limit of the value of the reusable remaining roll, 0 < b ≤ 1, and c is the center of the curve recovery.

[0055] Further, in one embodiment, the coil slitting device further includes an update module for: Deduct the number of required strip materials based on the number of strip materials generated by executing the target cutting plan; If the trimming margin generated by executing the target cutting plan forms a reusable remaining roll, incorporate the reusable remaining roll into the master roll data.

[0056] Further, in one embodiment, the coil slitting device further includes a learning module for: Generate multiple sets of policy parameters with numerical offsets, and the policy parameters include configuration parameters for generating a primary cutting plan and scoring parameters for calculating action scores; Generate multiple primary cutting plans with each set of policy parameters, perform risk determination and calculate action scores, and obtain the displayed cutting plans corresponding to each set of policy parameters for selection; Record the parameter characteristics of the selected cutting plan and the corresponding policy parameters, and perform scenario-based statistics and preference learning on the parameter characteristics of the selected cutting plan for subsequent selection of the corresponding policy parameters based on the scenario.

[0057] Further, in one embodiment, the coil slitting device further includes a calibration module for: Group the historical cutting data according to the coil material, coil thickness, cutting equipment, tool status and running speed; Within each group, statistically count the tape break rate, downtime rate, deviation rate, defect rate and remaining roll reuse success rate according to the trimming width in bins; Generate or update the preset trimming quality curve parameters based on the statistical results, and the parameters include the golden trimming width, narrow edge risk area threshold, remaining roll area threshold and curve coefficients of each trimming interval; Use the data smoothing update algorithm to continuously update the parameters.

[0058] Wherein, the function implementation of each module in the above coil slitting device corresponds to each step in the above coil slitting method embodiment, and its function and implementation process will not be elaborated here one by one.

[0059] Thirdly, embodiments of this application provide a roll slitting device.

[0060] Reference Figure 5 , Figure 5 This is a schematic diagram of the hardware structure of the roll slitting equipment involved in the embodiments of this application. In the embodiments of this application, the roll slitting equipment may include a processor, a memory, a communication interface, and a communication bus.

[0061] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0062] Communication interfaces include input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting devices within the roll slitting equipment, as well as interfaces used for interconnecting the roll slitting equipment with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0063] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0064] The processor can be a general-purpose processor, which can call the roll slitting program stored in the memory and execute the roll slitting method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the roll slitting program is called can be referred to in the various embodiments of the roll slitting method of this application, and will not be repeated here.

[0065] Those skilled in the art will understand that Figure 5 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0066] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0067] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0068] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0069] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0070] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0071] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0072] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for slitting rolled materials, characterized in that, include: Based on the master roll data, required strip material, and cutting process, several preliminary cutting schemes are generated, including the slitting method; For each initially selected cutting scheme, the trimming allowance is calculated based on the master roll data and the slitting knife method, and the quality factor and trimming interval corresponding to the trimming allowance are determined based on the trimming allowance and the preset trimming quality curve. Each preliminary cutting scheme is risk-assessed based on a quality factor, and the preliminary cutting schemes that fail the risk assessment are eliminated. For each candidate cutting scheme that passes the risk assessment, the action score is calculated according to the trimming interval to which the trimming allowance belongs, using the corresponding scoring rules. The target cutting scheme is selected from the candidate cutting schemes based on the action score for execution.

2. The method for slitting rolls as described in claim 1, characterized in that: The trimming area includes a narrow edge risk area, a normal waste edge area, and a reusable surplus roll area; The determination of the quality factor and trimming interval corresponding to the trimming allowance based on the trimming allowance and the preset trimming quality curve specifically includes: Compare the trimming allowance with the narrow edge risk area threshold and excess roll area threshold in the preset trimming quality curve parameters; If the trimming allowance is less than or equal to the threshold of the narrow edge risk zone, then the trimming interval to which the trimming allowance belongs is determined to be the narrow edge risk zone. If the trimming allowance is greater than the threshold of the narrow edge risk area but less than the threshold of the excess roll area, then the trimming interval to which the trimming allowance belongs is determined to be the ordinary waste edge area. If the trimming allowance is greater than or equal to the threshold of the excess roll area, then the trimming interval to which the trimming allowance belongs is determined to be a reusable excess roll area. Using the trimming allowance and the curve coefficients in the preset trimming quality curve parameters, the quality factor corresponding to the trimming allowance is calculated through a mathematical model.

3. The method for slitting rolls as described in claim 1, characterized in that, The process of assessing the risk of each preliminary cutting scheme based on a quality factor and eliminating those schemes that fail the risk assessment specifically includes: Compare the quality factor and preset safety threshold corresponding to the trimming allowance of each initially selected cutting scheme; If the quality factor corresponding to the trimming allowance is lower than the preset safety threshold, and the initial cutting scheme does not meet the preset exception conditions, then the initial cutting scheme is determined to have failed the risk assessment. If the quality factor corresponding to the trimming allowance is not lower than the preset safety threshold, or if the initial cutting scheme meets the preset exception conditions, then the initial cutting scheme is determined to pass the risk assessment. The preset exception conditions include emergency or delivery default orders, no alternative safe cutting method, authorized and short-segment trial cutting. From all the preliminary cutting schemes, those that failed the risk assessment are removed, resulting in each candidate cutting scheme that passed the risk assessment.

4. The roll slitting method as described in claim 2, characterized in that, The step of calculating the action score based on the trimming interval to which the trimming allowance belongs, using the corresponding scoring rules, specifically includes: If the trimming allowance belongs to a narrow-edge risk zone, then the total input weight of the entire operating segment corresponding to the candidate cutting scheme is used as the penalty object, and the penalty score is calculated using Formula 1, which is: The penalty score for the narrow-edge risk zone = the total input weight of the entire running segment corresponding to the candidate cutting scheme × (1-y) × risk weight; If the trimming allowance belongs to the ordinary waste trimming zone, then the weight of waste generated by the candidate cutting scheme is used as the penalty object, and the penalty score is calculated using Formula 2. Formula 2 is: Penalty score for ordinary waste margin = weight corresponding to max(x - g, 0) × (1 - y) × waste weight; If the trimming margin belongs to the reusable remaining coil area, the penalty score is calculated through Formula 3 based on the basic waste penalty, the value of the reusable remaining coil, and the management cost of the reusable remaining coil. The Formula 3 is as follows: Penalty score for reusable remaining coil area = basic waste penalty - value of reusable remaining coil + management cost of reusable remaining coil, where the basic waste penalty = weight corresponding to max(x - g, 0) × waste weight, the value of the reusable remaining coil = weight of reusable remaining coil × y × value weight of reusable remaining coil, the management cost of the reusable remaining coil = weight of reusable remaining coil × management rate of reusable remaining coil × management cycle coefficient, y is the quality factor, x is the trimming margin, and g is the golden trimming width; Based on the penalty score and comprehensive factors, the action score is calculated. The comprehensive factors include effective output revenue, order overproduction penalty, remaining under-delivery penalty after the expected execution of the target cutting plan, head and tail loss penalty, tool change and coil change penalty, new coil activation penalty, and remaining coil management penalty.

5. The method for slitting rolls as described in claim 2, characterized in that, Using the trimming margin and the curve coefficient in the preset trimming quality curve parameters, the quality factor corresponding to the trimming margin is calculated through a mathematical model, specifically including: If the trimming margin belongs to the narrow edge risk area, use the trimming margin and the narrow edge risk area curve coefficient in the preset trimming quality curve parameters to calculate the quality factor corresponding to the trimming margin through Formula 4. The Formula 4 is as follows: y=exp(-(x-g) 2 / a1); If the trimming margin belongs to the ordinary waste margin area, use the trimming margin and the ordinary waste margin area curve coefficient in the preset trimming quality curve parameters to calculate the quality factor corresponding to the trimming margin through Formula 5. The Formula 5 is as follows: y=exp(-(x-g) 2 / a2); If the trimming margin belongs to the reusable remaining coil area, use the trimming margin and the reusable remaining coil area curve coefficient in the preset trimming quality curve parameters to calculate the quality factor corresponding to the trimming margin through Formula 6. The Formula 6 is as follows: y = b / (1 + exp(-a3 × (x - c))); Where, y is the quality factor, x is the trimming margin, g is the golden trimming width, a1 is the narrow edge risk area curve coefficient, a2 is the ordinary waste margin area curve coefficient, a3 is the reusable remaining coil area curve coefficient, b is the value upper limit of the reusable remaining coil, 0 < b ≤ 1, and c is the curve recovery center.

6. The method for slitting rolls as described in claim 1, characterized in that, After selecting the target cutting plan from the candidate cutting plans according to the action score for execution, it further includes: Deducting the quantity of required strip materials based on the quantity of strip materials generated by the execution of the target cutting plan; If the trimming margin generated by the execution of the target cutting plan forms a reusable remaining coil, the reusable remaining coil is incorporated into the master coil data.

7. The method for slitting rolls as described in claim 1, characterized in that, The coil strip splitting method further includes: Generating multiple groups of strategy parameters with numerical offsets. The strategy parameters include configuration parameters for generating the primary cutting plan and scoring parameters for calculating the action score; Generating multiple primary cutting plans with each group of strategy parameters, performing risk determination and calculating the action score, and obtaining the display cutting plan corresponding to each group of strategy parameters for selection; Record the parameter characteristics of the selected cutting scheme and the corresponding strategy parameters. Perform scenario-specific statistics and preference learning on the parameter characteristics of the selected cutting scheme to enable subsequent selection of corresponding strategy parameters based on the scenario.

8. The method for slitting rolls as described in claim 2, characterized in that, The method for slitting coils also includes: Historical cutting data are grouped according to the material of the roll, the thickness of the roll, the cutting equipment, the condition of the cutting tool, and the operating speed. Within each group, the breakage rate, downtime rate, deviation rate, defect rate, and success rate of reusing surplus rolls are statistically analyzed according to the trimming width. The preset trimming quality curve parameters are generated or updated based on statistical results. The parameters include the golden trimming width, the narrow edge risk zone threshold, the excess roll zone threshold, and the curve coefficient of each trimming interval. The parameters are continuously updated using a data smoothing update algorithm.

9. A roll slitting device, characterized in that, include: The generation module is used to generate multiple preliminary cutting schemes based on the master roll data, required strip material and cutting process, and the cutting schemes include the slitting method; The calculation module is used to calculate the trimming allowance based on the master roll data and the slitting knife method for each initially selected cutting scheme, and to determine the quality factor and trimming interval corresponding to the trimming allowance based on the trimming allowance and the preset trimming quality curve. The judgment module is used to assess the risk of each preliminary cutting scheme based on the quality factor and eliminate the preliminary cutting schemes that fail the risk assessment. The scoring module is used to calculate the action score for each candidate cutting scheme that passes the risk assessment, based on the trimming interval to which the trimming allowance belongs, using the corresponding scoring rules. The execution module is used to select the target cutting scheme from the candidate cutting schemes based on the action score for execution.

10. A roll slitting device, characterized in that, The device includes a processor, a memory, and a roll slitting program stored in the memory and executable by the processor, wherein when the roll slitting program is executed by the processor, it implements the steps of the roll slitting method as described in any one of claims 1 to 8.

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