Calendering roll die cutting design method and equipment
By employing a greedy algorithm and automated decision-making process, the problem of low efficiency in calendered coil die-cutting design was solved, achieving highly efficient die-cutting design, improving raw material utilization and design efficiency, and reducing labor and time costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CERI DIGITAL TECHNOLOGY (BEIJING) CO LTD
- Filing Date
- 2026-01-19
- Publication Date
- 2026-05-08
AI Technical Summary
Existing die-cutting technology for calendered rolls is inefficient, requires significant investment of manpower and time, and cannot efficiently meet diverse order demands.
By employing a greedy algorithm and automated decision-making process, the system acquires and stores die-cutting design data, sorts it in descending order based on the raw material roll area and order area, constructs a priority processing queue, automatically generates die-cutting design schemes, verifies their feasibility and surface quality constraints, and generates the optimal cutting scheme.
It has enabled automated processing of calendered roll die-cutting design, reducing labor and time costs, improving design efficiency, maximizing raw material utilization, and reducing waste.
Smart Images
Figure CN121998329A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of die-cutting technology, and more specifically to a die-cutting design method and equipment for calendered rolls. Background Technology
[0002] Die-cutting of non-ferrous metal rolled coils refers to the process of cutting raw rolled coils into finished products according to specific dimensions and shapes to meet different order requirements. In most cases, customer requirements for die-cut products include not only size and shape, but also the surface quality of the finished coils, such as the size, quantity, and distribution of surface pinholes, to meet specified standards. Therefore, die-cutting design of rolled coils is necessary to maximize material utilization and reduce waste while ensuring the quality of the finished products meets requirements.
[0003] Currently, surface quality defect detection in rolled coils has developed into a mature technical solution. By combining high-resolution optical cameras with multi-angle light source imaging and relying on hybrid intelligent algorithms based on CNNs, accurate detection and classification of micron-level pinhole defects can be achieved under high-speed production conditions. Supported by this technology, non-ferrous metal rolling processing enterprises can use inspection equipment to store the surface pinhole data of all produced products in computer equipment, thereby allowing for tasks such as surface quality analysis and die-cutting design.
[0004] Existing semi-automatic die-cutting design technology utilizes a specialized system, with manual operation on a roll-by-roll basis to complete the die-cutting design. These systems complete the die-cutting design of a single calendered roll through three stages: data synchronization, visualization of surface quality defects, and manual die-cutting design.
[0005] However, the above-mentioned solutions in the existing technology are inefficient. When faced with a large number of orders, business personnel can only complete the die-cutting design one roll at a time, which requires a lot of manpower and time costs. Summary of the Invention
[0006] The purpose of this invention is to provide a method and equipment for die-cutting calendered coils, which can reduce the labor and time costs in die-cutting design of calendered coils.
[0007] To achieve the above objectives, in a first aspect, embodiments of the present invention provide a die-cutting design method for calendered coils. The method includes: acquiring die-cutting design data for calendered coils and storing the data in a database, wherein the data includes raw material coil data and order data, the raw material coil data including the area of the raw material coil and the order data including the area of the order; arranging the raw material coil and the order in descending order of area based on the area of the raw material coil and the area of the order, respectively, to obtain a priority processing queue; retrieving the raw material coil and the order from the priority processing queue based on a greedy algorithm to obtain a die-cutting design scheme; and outputting the die-cutting design scheme for confirmation by business personnel.
[0008] Optionally, the die-cutting design data for the rolled coil includes basic information of the raw material coil, pinhole information of the raw material coil, and order information. The basic information of the raw material coil includes the raw material coil number, alloy coil number, raw material coil length, raw material coil width, and raw material coil thickness. The pinhole information of the raw material coil includes the raw material coil number, pinhole size, pinhole position in the length direction, and pinhole position in the width direction. The order information includes the required quantity, required alloy, required thickness, required width, required length, tab area width, tab area pinhole density requirement, carbon coating area width, and carbon coating area pinhole density requirement.
[0009] Optionally, based on the area of the raw material roll and the area of the order, the raw material roll and the order are sorted in descending order of area to obtain a priority processing queue, which includes: preprocessing the die-cutting design data of the calendered roll; calculating the corresponding area of each raw material roll based on its roll length and roll width; calculating the corresponding area of each order based on its required width and required length; and sorting all raw material rolls in descending order based on the area of the raw material roll and all orders in descending order based on the area of the order to obtain the priority processing queue.
[0010] Optionally, obtaining a die-cutting design scheme by retrieving raw material rolls and orders from the priority processing queue based on a greedy algorithm includes retrieving one raw material roll and one order from the priority processing queue each time, and performing the following processes until the raw material rolls or orders in the priority processing queue are exhausted: performing a feasibility assessment on the combination of the raw material roll and the order; if the combination passes the feasibility assessment, then performing surface quality constraint verification on the combination; and if the combination passes the surface quality constraint verification, then designing a cutting scheme based on the combination.
[0011] Optionally, the feasibility assessment of the combination of the raw material roll and the order includes: calculating the feasibility along the length and width directions in parallel; if the feasibility is satisfied in both directions, the combination is determined to pass the feasibility assessment; wherein, for each direction, the number of cutable segments of the raw material roll along that direction and the number of finished products that can be accommodated along the other direction are calculated; if the number of finished products that can be accommodated is greater than one, the direction is determined to be feasible.
[0012] Optionally, the surface quality constraint verification of the combination includes performing the following processing for each direction: dividing the raw material roll into regions based on the tab area width and the carbon coating area width to obtain tab areas and carbon coating areas; calculating the pinhole density index of each region after region division; and determining whether all tab areas meet the tab area pinhole density requirements and whether all carbon coating areas meet the carbon coating area pinhole density requirements. If both are met, the direction is determined to have passed the surface quality constraint verification.
[0013] Optionally, the cutting scheme based on the combination design includes: calculating the material utilization rate corresponding to the cutting scheme in each of the directions, wherein the material utilization rate is the ratio of the total area of the finished product to the area of the raw material; and taking the cutting scheme in the direction with the highest material utilization rate as the cutting scheme to be executed.
[0014] Optionally, the method further includes: establishing a resource status table, the resource status table including a raw material roll table and an order table, the raw material roll table including the remaining available size and usage status of each raw material roll, and the order table including the unfinished quantity of each order; after obtaining each cutting scheme, performing the following processing: calculating the actual production quantity of the cutting scheme and updating the order table based on the actual production quantity; and determining whether there is any remaining raw material roll, if there is no remaining, marking its usage status as fully used in the raw material roll table, if there is any remaining, calculating the remaining available size of the raw material roll and updating the raw material roll table based on the remaining available size of the raw material roll.
[0015] Optionally, the method further includes adding the remaining raw material roll to the priority processing queue and placing it at the front of the queue when there is any remaining raw material roll.
[0016] Optionally, the die-cutting design scheme output includes generating a report based on the die-cutting design scheme. The report includes: cutting schemes for each raw material roll, material utilization rate and total waste area statistics; completion status of each order; and overall raw material utilization rate, order fulfillment rate and algorithm execution efficiency statistics.
[0017] On the other hand, the present invention provides an apparatus for die-cutting design of calendered coils, the apparatus comprising a memory and a processor, the processor being configured to run a program, wherein the program, when run, is configured to perform any of the methods described herein.
[0018] The method proposed in this invention, through descending order sorting, ensures that large-size raw material rolls are prioritized for matching large-size requirements, reducing material fragmentation and improving the utilization rate of raw material rolls. An automated and dynamic decision-making process is constructed based on a greedy algorithm, which can construct the optimal cutting scheme for the current raw material roll and order in each iteration, thereby gradually obtaining the final die-cutting design scheme and providing it to business personnel. The entire calendered roll die-cutting design process is automated, avoiding the significant manpower and time costs required by semi-automatic die-cutting design technology, improving design efficiency, and significantly reducing the time spent on calendered roll die-cutting design.
[0019] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description
[0020] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart illustrating the die-cutting design method for calendered rolls provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the data acquisition and storage process provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the remaining available dimensions provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the device provided in an embodiment of the present invention.
[0021] Explanation of reference numerals in the attached figures 101 Processor 102 Memory 103 bus 10 devices Detailed Implementation The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.
[0022] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution of this application all comply with relevant laws and regulations. In the embodiments of this application, certain existing industry solutions such as software, components, and models may be mentioned. These should be considered exemplary, intended only to illustrate the feasibility of implementing the technical solution of this application, and do not imply that the applicant has already used or necessarily used such solutions.
[0023] Existing semi-automatic die-cutting design technology only acquires data from calendered rolls during data synchronization. Specifically, the system synchronizes the roll number and pinhole data of the calendered roll from the pinhole detection device to the local system. Each roll corresponds to a pinhole data file, which records basic information such as the length, width, length direction coordinates, and width direction coordinates of each pinhole on the surface of the calendered roll.
[0024] When visualizing surface quality defects, the system uses a planar scatter plot to visualize the distribution of pinholes on the surface of a calender roll. The horizontal and vertical axes of the scatter plot represent the width and length of the calender roll, respectively, and each point in the scatter plot represents a pinhole at the corresponding position on the surface of the calender roll.
[0025] While the above two steps can be automated, during die-cutting design, business personnel need to manually pre-select a die-cutting area on the aluminum coil surface using a visualized surface quality defect distribution map and the requirements for finished product specifications and pinhole distribution in existing orders. The system acquires the dimensions and locations of all pinholes within the selected area, uses this data to calculate the distribution of these pinholes, and determines whether it meets the order's requirements for pinhole distribution. The system then feeds back the result to the operator. If the result is deemed acceptable (meets requirements), the die-cutting plan can be saved.
[0026] As can be seen from the above steps, semi-automatic die-cutting design technology requires a significant investment of manpower and time. To address this issue, this invention proposes a die-cutting design method for calendered rolls, such as... Figure 1 As shown, the method includes the following steps S1 to S4.
[0027] Step S1: Obtain the die-cutting design data of the calendered coil and store the data in the database. The data includes raw material coil data and order data. The raw material coil data includes the area of the raw material coil, and the order data includes the area of the order.
[0028] Step S2: Based on the area of the raw material roll and the area of the order, arrange the raw material roll and the order in descending order of area to obtain a priority processing queue.
[0029] Step S3: Based on the greedy algorithm, obtain the raw material rolls and orders from the priority processing queue to obtain the die-cutting design scheme.
[0030] Step S4: Output the die-cutting design scheme for business personnel to confirm.
[0031] The method proposed in this invention first acquires the data required for die-cutting design of calendered coils, and then sorts them in descending order based on the coil area and order area. This descending order ensures that large-size raw material coils are prioritized for matching large-size requirements, reducing material fragmentation and improving the utilization rate of raw material coils. After obtaining the priority processing queue, an automated and dynamic decision-making process is constructed based on a greedy algorithm. In each iteration of this greedy algorithm, the optimal cutting scheme for the current raw material coil and order is constructed, thereby gradually obtaining the final die-cutting design scheme. The die-cutting scheme designed by the algorithm can be provided to business personnel for confirmation through the system. After confirmation by the business personnel, it can be handed over to the subsequent process for finished product cutting. The entire process of calendered coil die-cutting design is automated, avoiding the problem of large manpower and time costs required by semi-automatic die-cutting design technology, improving design efficiency, and significantly reducing the time spent on calendered coil die-cutting design.
[0032] Furthermore, the die-cutting design data for the calendered roll includes basic information about the raw material roll, information about the pinholes in the raw material roll, and order information. Figure 2 This is a schematic diagram of the data acquisition and storage process provided in an embodiment of the present invention, such as... Figure 2 As shown, basic information of raw material rolls is collected in real time from the message queue of the Manufacturing Execution System (MES), and pinhole information of raw material rolls is obtained through batch processing via FTP from the pinhole detection device. These two types of information together constitute the raw material roll parameters. Simultaneously, order information data is manually entered and maintained. After obtaining the above data, it is uniformly stored in a structured database.
[0033] The basic information of the raw material coil includes the raw material coil number, alloy coil number, raw material coil length, raw material coil width, and raw material coil thickness; the pinhole information of the raw material coil includes the raw material coil number, pinhole size, pinhole position in the length direction, and pinhole position in the width direction, in units of coil; the order information includes the required quantity, required alloy, required thickness, required width, required length, tab area width, tab area pinhole density requirements, carbon coating area width, and carbon coating area pinhole density requirements.
[0034] It should be noted that since the pinhole information of the raw material rolls is obtained through batch processing via FTP, after each batch of data is obtained, the raw material rolls can be sorted in descending order based on the data of that batch, and a greedy algorithm can be executed, thereby reducing waiting time and efficiently completing the batch design.
[0035] Furthermore, based on the area of the raw material roll and the area of the order, the raw material roll and the order are sorted in descending order of area to obtain a priority processing queue, which includes: preprocessing the die-cutting design data of the calendered roll; calculating the corresponding area of each raw material roll based on its roll length and roll width; calculating the corresponding area of each order based on its required width and required length; and sorting all raw material rolls in descending order based on the area of the raw material roll and all orders in descending order based on the area of the order to obtain the priority processing queue.
[0036] Preprocessing includes data cleaning, such as correcting and filling out outliers and zero values; the area of the raw material roll is the raw material roll length multiplied by the raw material roll width; the order area is the required width multiplied by the required length.
[0037] It should be noted that when the order information contains multiple required alloys and / or required thicknesses, it is necessary to filter out the corresponding alloy number and / or raw material roll thickness for different required alloys and / or required thicknesses, and establish multiple priority processing queues based on different required alloys and / or required thicknesses, and then process the multiple priority processing queues in sequence.
[0038] Furthermore, based on a greedy algorithm, raw material rolls and orders are retrieved from the priority processing queue to obtain a die-cutting design scheme. This scheme involves retrieving one raw material roll and one order from the priority processing queue each time, and performing the following processing until the raw material rolls or orders in the priority processing queue are exhausted: A feasibility assessment is conducted on the combination of the raw material roll and the order; if the combination passes the feasibility assessment, a surface quality constraint verification is performed on the combination; and if the combination passes the surface quality constraint verification, a cutting scheme is designed based on the combination.
[0039] If a combination fails the feasibility assessment and / or surface quality constraint verification, the combination is discarded and the next order is obtained, and the combination is judged with the raw material rolls of that combination.
[0040] Furthermore, the feasibility assessment of the combination of the raw material roll and the order includes: parallel calculation of feasibility along the length and width directions; if the feasibility is satisfied in both directions, the combination is determined to pass the feasibility assessment.
[0041] Specifically, for each direction, the number of cuttable segments of the raw material roll along that direction and the number of finished products that can be accommodated along another direction are calculated. If the number of finished products that can be accommodated is greater than one, then the direction is determined to be feasible.
[0042] Following the scheme verified by the above set of data, surface quality constraint verification is then performed. In this step, the following processing is performed for each direction: the raw material roll is divided into regions based on the width of the tab area and the width of the carbon coating area to obtain tab areas and carbon coating areas; the pinhole density index of each region after region division is calculated; and it is determined whether all tab areas meet the pinhole density requirements of the tab area and whether all carbon coating areas meet the pinhole density requirements of the carbon coating area. If both are met, then the direction is determined to have passed the surface quality constraint verification.
[0043] The pinhole density index of each region can be calculated based on the pinhole information of the raw material roll. This calculation method is existing technology and will not be described in detail in this invention.
[0044] Furthermore, the cutting scheme based on the combined design includes: calculating the material utilization rate corresponding to the cutting scheme in each direction, wherein the material utilization rate is the ratio of the total area of the finished product to the area of the raw material; and taking the cutting scheme in the direction with the highest material utilization rate as the cutting scheme to be executed.
[0045] Furthermore, the method also includes: establishing a resource status table, which includes a raw material roll table and an order table, wherein the raw material roll table includes the remaining available size and usage status of each raw material roll, and the order table includes the unfinished quantity of each order; after obtaining each cutting scheme, the following processing is performed: The actual production quantity of the cutting scheme is calculated, and the order table is updated based on the actual production quantity. It is also determined whether there is any remaining raw material roll. If there is no remaining raw material roll, its usage status is marked as fully used in the raw material roll table. If there is remaining raw material roll, the remaining usable size of the raw material roll is calculated, and the raw material roll table is updated based on the remaining usable size. Specifically, calculating the remaining usable size of the raw material roll involves subtracting the used width and length components from the raw material roll.
[0046] In practice, the initial values for the remaining available dimensions of the raw material rolls in the resource status table are the length and width of the raw material rolls, the initial value for the usage status is not fully used, and the initial value for the unfulfilled quantity of orders is the required quantity. Figure 3 This is a schematic diagram of the remaining available dimensions provided in an embodiment of the present invention, such as... Figure 3 As shown, for this raw material roll, the initial values for its remaining usable dimensions are "Width remaining 0-300 (cm)" and "Length remaining 0-1000 (m)". Each time a cutting plan is designed, the unfinished quantity of the order must be determined to ensure that the actual production quantity of the cutting plan is less than or equal to the unfinished quantity of the order. After obtaining a cutting plan, the unfinished quantity of the corresponding order in the order table is updated based on the actual production quantity of the plan, and the information of the corresponding raw material roll in the raw material roll table is updated based on the usage of the raw material roll. Please refer to... Figure 3 If a certain cutting scheme cuts off a 500m×140cm area from the raw material roll, then the corresponding raw material roll information in the raw material roll table will be updated to "Width remaining 0-80, 220-300 (cm)" and "Length remaining 0-250, 750-1000 (m)". Figure 3 The example shown illustrates that in actual cutting schemes, the used area is usually located at the edge of the raw material roll. If the unfinished quantity of the order is not zero after the cutting scheme is completed, the cutting scheme will continue to be designed based on the order in the next cycle until the order is completely completed, or the order cannot pass the feasibility assessment and surface quality constraint verification with the raw material roll in the next cycle, and then the algorithm will be calculated based on the next order.
[0047] Furthermore, the method also includes adding the remaining raw material rolls to the priority processing queue when there are any leftover rolls, placing them at the front of the queue. Through this process, any remaining raw material rolls from a given cutting plan are added to the front of the priority processing queue, allowing them to participate in matching more frequently in subsequent iterations to meet the needs of smaller size orders.
[0048] By maintaining the resource status table in real time, the batch design progress can be dynamically tracked, and each raw material roll and order in the batch can be tracked. By updating the remaining raw material rolls and the unfinished quantity of orders, and adding the remaining raw material rolls to the front of the priority processing queue, the tiered utilization of scrap materials can be realized, maximizing material utilization while ensuring that the finished product meets the order requirements.
[0049] When all orders are completed or raw materials are exhausted, the loop-based greedy algorithm terminates, and a report is generated based on the die-cutting design scheme. This report includes: cutting schemes for each raw material roll, material utilization rate, total wasted area statistics, and the completion status of each order. Simultaneously, optimization indicator analysis is provided, including overall raw material utilization rate, order fulfillment rate, and algorithm execution efficiency statistics, providing data support for production decisions. Algorithm execution efficiency includes indicators such as running speed, resource consumption, generated scheme efficiency, and algorithm stability.
[0050] The above-mentioned die-cutting design method for calendered coils provided by this invention can efficiently complete the automated die-cutting design task for raw material calendered coils in batches and multiple finished product orders, maximizing raw material utilization and reducing waste while meeting order requirements.
[0051] This invention also provides an apparatus for die-cutting design of calendered coils, for example, such as... Figure 4 As shown, the device includes a memory and a processor, the processor being used to run a program, wherein the program is executed to perform the calendered roll die-cutting design method.
[0052] The processor contains a core, which retrieves the corresponding program unit from memory. One or more cores can be configured, and the die-cutting design of the calendered roll can be achieved by adjusting the core parameters.
[0053] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.
[0054] This invention provides a storage medium storing a program that, when executed by a processor, implements the calendering roll die-cutting design method.
[0055] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0056] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0057] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0058] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0059] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0060] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.
[0061] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.
[0062] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.
[0063] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.
Claims
1. A method for die-cutting calendered rolls, characterized in that, The method includes: Acquire calendered coil die-cutting design data and store the data in a database. The data includes raw material coil data and order data. The raw material coil data includes the area of the raw material coil. The order data includes the area of the order. Based on the area of the raw material roll and the area of the order, the raw material roll and the order are arranged in descending order of area to obtain a priority processing queue; Based on a greedy algorithm, raw material rolls and orders are retrieved from the priority processing queue to obtain a die-cutting design scheme; and The die-cutting design scheme will be output for business personnel to confirm.
2. The method according to claim 1, characterized in that, The die-cutting design data for the calendered roll includes basic information about the raw material roll, pinhole information about the raw material roll, and order information, among which... The basic information of the raw material roll includes the raw material roll number, alloy roll number, raw material roll length, raw material roll width, and raw material roll thickness; The pinhole information of the raw material roll includes the raw material roll number, pinhole size, pinhole position along the length direction, and pinhole position along the width direction; and The order information includes the required quantity, required alloy, required thickness, required width, required length, tab area width, tab area pinhole density requirement, carbon coating area width, and carbon coating area pinhole density requirement.
3. The method according to claim 2, characterized in that, Based on the area of the raw material roll and the area of the order, the raw material roll and the order are sorted in descending order of area to obtain a priority processing queue, which includes: The calendered roll die-cutting design data is preprocessed; For each raw material roll, the corresponding raw material roll area is calculated based on its roll length and roll width; For each order, the corresponding order area is calculated based on its required width and required length; and All raw material rolls are sorted in descending order based on their area, and all orders are sorted in descending order based on their area to obtain the priority processing queue.
4. The method according to claim 2, characterized in that, Based on a greedy algorithm, raw material rolls and orders are retrieved from the priority processing queue to obtain a die-cutting design scheme. This scheme involves retrieving one raw material roll and one order from the priority processing queue each time, and performing the following processing until the raw material rolls or orders in the priority processing queue are exhausted: Conduct a feasibility assessment of the combination of the raw material rolls and the order; If the combination passes the feasibility assessment, then the combination undergoes surface quality constraint verification; and If the combination passes the surface quality constraint verification, then a cutting scheme is designed based on the combination.
5. The method according to claim 4, characterized in that, The feasibility assessment of the combination of the raw material rolls and the order includes: The feasibility of parallel computation along the length and width directions is assessed. If the feasibility is satisfied in both directions, the combination is deemed to have passed the feasibility evaluation. Specifically, for each direction, the number of cuttable segments of the raw material roll along that direction and the number of finished products that can be accommodated along another direction are calculated. If the number of finished products that can be accommodated is greater than one, then the direction is determined to be feasible.
6. The method according to claim 5, characterized in that, Surface quality constraint verification of the combination includes performing the following processing for each of the directions: The raw material roll is divided into regions based on the width of the tab area and the width of the carbon coating area to obtain the tab area and the carbon coating area. The pinhole density index of each region after regional division is calculated; and Determine whether all tab areas meet the pinhole density requirements for tab areas and whether all carbonized areas meet the pinhole density requirements for carbonized areas. If both meet the requirements, then the direction passes the surface quality constraint verification.
7. The method according to claim 5, characterized in that, The cutting scheme based on the aforementioned combination design includes: Calculate the material utilization rate corresponding to the cutting scheme in each of the aforementioned directions, where the material utilization rate is the ratio of the total area of the finished product to the area of the raw material; and The cutting scheme with the highest material utilization rate is selected as the cutting scheme to be implemented.
8. The method according to claim 4, characterized in that, The method further includes: Establish a resource status table, which includes a raw material roll table and an order table. The raw material roll table includes the remaining available size and usage status of each raw material roll, and the order table includes the unfinished quantity of each order. After obtaining each of the aforementioned cutting schemes, perform the following processing: Calculate the actual production quantity of the cutting scheme, and update the order table based on the actual production quantity; and Determine if there is any remaining raw material roll. If there is no remaining raw material roll, mark its usage status as fully used in the raw material roll table. If there is remaining raw material roll, calculate the remaining usable size of the raw material roll and update the raw material roll table based on the remaining usable size of the raw material roll.
9. The method according to claim 8, characterized in that, The method further includes adding the remaining raw material roll to the priority processing queue and placing it at the front of the queue when there is any remaining raw material roll.
10. The method according to claim 8, characterized in that, The output of the die-cutting design scheme includes generating a report based on the die-cutting design scheme, the report including: Cutting schemes, material utilization rates, and total waste area statistics for each raw material roll; The completion status of each order; and Statistics on overall raw material utilization rate, order fulfillment rate, and algorithm execution efficiency.
11. An apparatus for die-cutting design of calendered coils, the apparatus comprising a memory and a processor, characterized in that, The processor is used to run a program, wherein the program is run to execute the method as described in any one of claims 1-10.