Method and device for determining copper bar cutting scheme and storage medium

Abstract

The invention discloses a method and device for determining a copper bar cutting scheme and a storage medium, and relates to the technical field of copper bar machining, the method comprises the steps that a copper bar section demand list and a copper bar raw material supply list are obtained, the copper bar section demand list comprises the demand length and the demand number corresponding to at least one copper bar section demand, and the demand length and the demand number correspond to the copper bar raw material supply list; the copper bar raw material supply list comprises the supply quantity corresponding to at least one copper bar raw material supply and the length of the supplied copper bar raw material; a suit cutting scheme combination meeting the requirements of the copper bar sections and the copper bar raw material supply is obtained, the suit cutting scheme combination comprises at least one suit cutting scheme, and the suit cutting scheme is a scheme for cutting one copper bar raw material; based on preset conditions, a target suit cutting scheme combination is determined from the suit cutting scheme combinations, and the target suit cutting scheme combination is used for indicating the actual number of the adopted copper bar raw materials and suit cutting schemes for cutting each copper bar raw material.

Description

Technical Field

[0001] The present invention relates to the technical field of copper busbar processing, and in particular to a method, device and storage medium for determining a copper busbar cutting scheme. Background Art

[0002] Copper busbar nesting refers to the process of arranging longer blanks on the raw materials and then allocating some shorter blanks to reduce the waste of raw materials when cutting copper busbars, so as to allocate more blanks for production on the limited raw materials as much as possible.

[0003] In the related art, when calculating the copper bar nesting, a greedy algorithm is used according to the length of a single copper bar raw material to plan the copper bar cutting method with the goal of ensuring that the single copper bar raw material produces minimal waste, thereby obtaining the optimal cutting strategy.

[0004] However, in the solutions provided by the related art, a strategy for cutting a copper bar raw material is often obtained by planning a single copper bar raw material. In this process, how to minimize the overall loss when there are multiple copper bar raw materials and specific copper bar segment requirements is not considered. In this case, the solution provided by the related art has poor applicability and is likely to cause unnecessary waste of raw materials. Summary of the invention

[0005] The object of the present invention is to provide a method, device and storage medium for determining a copper busbar cutting scheme, aiming to improve the applicability of the copper busbar cutting scheme and reduce the overall loss while meeting the requirements of specific copper busbar sections.

[0006] To achieve the above objectives, on the one hand, the present application provides a method for determining a copper busbar cutting scheme, comprising: Obtain a copper bar segment demand list and a copper bar raw material supply list, wherein the copper bar segment demand list includes a required length and a required quantity corresponding to at least one copper bar segment demand, and the copper bar raw material supply list includes a supply quantity corresponding to at least one copper bar raw material supply and a length of the supplied copper bar raw material; Obtaining a combination of cutting schemes that meets the copper bar segment demand and the copper bar raw material supply, wherein the combination of cutting schemes includes at least one cutting scheme, which is a scheme for cutting a copper bar raw material; Based on preset conditions, a target cutting scheme combination is determined from the cutting scheme combinations, and the target cutting scheme combination is used to indicate the actual quantity of copper busbar raw materials used and the cutting scheme for cutting each copper busbar raw material.

[0007] As a further improvement of the present application, the method of obtaining a combination of cutting schemes that meets the copper bar segment requirements and the copper bar raw material supply includes: Based on the standard copper bar raw material and the length of the standard copper bar segment, determining at least one corresponding cutting scheme for each of the standard copper bar raw materials of different specifications, wherein the cutting results corresponding to the cutting scheme include at least one standard copper bar segment of one specification; Based on the demand for the copper busbar segments and the supply of the copper busbar raw materials, at least one of the nesting schemes is selected to form the nesting scheme combination.

[0008] As a further improvement of the present application, the cutting result corresponding to the said cutting scheme includes tailings; The tail lengths corresponding to each nesting scheme are all smaller than a preset length threshold, and the tail lengths corresponding to each nesting scheme are not smaller than zero.

[0009] As a further improvement of the present application, the step of determining a target tailoring scheme combination from the tailoring scheme combinations based on a preset condition includes: Based on the preset conditions, a linear programming model is used to determine the copper busbar raw material to be used, the cutting scheme for cutting the copper busbar raw material, and the number of times each cutting scheme is used to obtain the cutting scheme combination.

[0010] As a further improvement of the present application, the preset condition includes a preset objective function, and the objective function is used to limit the total length of the copper busbar raw material used in the target cutting scheme combination to be minimum.

[0011] As a further improvement of the present application, the preset conditions also include preset constraints, and the step of determining the target nesting scheme combination from the nesting scheme combinations based on the preset conditions includes: Based on the constraint conditions and the objective function, a linear programming model is used to determine the number of times that copper busbar raw materials of different specifications are subjected to various nesting schemes, and the nesting scheme combination is obtained.

[0012] As a further improvement of the present application, the constraint condition includes at least a first constraint condition, and the first constraint condition is used to constrain the cutting result corresponding to the target cutting scheme combination to meet the copper busbar segment requirement.

[0013] As a further improvement of the present application, the constraint condition includes at least a second constraint condition, and the second constraint condition is used to constrain the actual quantity of each copper bar raw material used in the target tailoring scheme combination to be less than the corresponding copper bar raw material supply.

[0014] On the other hand, the present application provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for determining the copper busbar cutting scheme as described in any of the above aspects.

[0015] On the other hand, the present application provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute the method for determining the copper busbar cutting scheme as described in any of the above aspects.

[0016] On the other hand, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the method for determining the copper busbar cutting scheme as described in any of the above aspects.

[0017] The solution provided in the embodiment of the present application has at least the following beneficial effects: In the embodiment of the present application, the actual copper bar raw material supply and the actual copper bar segment demand can be determined based on the copper bar segment demand list and the copper bar segment raw material supply list. Subsequently, the determined cutting scheme combination can meet the actual copper bar segment demand and can be implemented based on the actual copper bar raw material supply. Finally, based on the preset conditions, the optimal target cutting scheme combination is selected from multiple cutting scheme combinations to meet the goal of minimum loss. In this solution, the determination of the cutting scheme combination based on the overall demand and the overall supply situation is conducive to minimizing the total loss and improving the applicability of this solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A flow chart of a method for determining a copper busbar cutting scheme provided in an exemplary embodiment of the present application is shown; Figure 2 A schematic diagram showing a possible cutting solution provided by an exemplary embodiment of the present application is shown; Figure 3 A flowchart of a process for determining a combination of nesting schemes provided by an exemplary embodiment of the present application is shown; Figure 4 A schematic structural diagram of an electronic device provided by an exemplary embodiment of the present application is shown. DETAILED DESCRIPTION

[0019] The present invention will be described in detail below in conjunction with the specific embodiments shown in the accompanying drawings. However, these embodiments do not limit the present invention, and any structural, methodological, or functional changes made by a person skilled in the art based on these embodiments are all within the scope of protection of the present invention.

[0020] It should be noted that the term "comprises" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device that includes a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In addition, the terms "first", "second", etc. are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0021] It should be noted that the solution provided in the embodiments of the present application is executed by an electronic device, which may be a nesting planning system device, a tablet computer, a desktop computer, a portable laptop computer, and the like. For ease of understanding, the following embodiments are described using a computer device as the execution subject, and do not constitute a limitation on the actual application scenarios of the solution.

[0022] Please refer to Figure 1 , which shows a flow chart of a method for determining a copper busbar cutting scheme provided in an exemplary embodiment of the present application.

[0023] Step 101, obtaining a copper busbar segment demand list and a copper busbar raw material supply list.

[0024] The copper bar segment demand list includes at least one copper bar segment demand corresponding to the required length and required quantity, and the copper bar raw material supply list includes at least one copper bar raw material supply corresponding to the supply quantity and the supplied copper bar raw material length.

[0025] The copper bar segment demand list is used to record the copper bar segments that need to be cut, and the copper bar raw material supply list is used to record the copper bar raw materials used for cutting. For example, the copper bar segment demand list includes {length: 100mm, required quantity: 50 pieces, length: 200mm, required quantity: 30 pieces}, and the copper bar raw material supply list includes {raw material length: 1000mm, supply quantity: 5 pieces, raw material length: 5000mm, supply quantity: 8 pieces}.

[0026] Step 102, obtaining a combination of cutting solutions that meets the copper busbar segment demand and copper busbar raw material supply.

[0027] The combination of cutting schemes includes at least one cutting scheme, and the cutting scheme is a scheme for cutting a copper busbar raw material.

[0028] Each cutting scheme describes how to cut copper busbar segments of different lengths from a copper busbar raw material, and the cutting scheme combination includes one or more cutting schemes, that is, the cutting scheme combination describes how to cut copper busbar segments of different lengths from multiple supplied copper busbar raw materials to meet the copper busbar segment requirements recorded in the copper busbar segment requirement list.

[0029] Step 103: determining a target tailoring scheme combination from the tailoring scheme combinations based on preset conditions.

[0030] The target cutting scheme combination is used to indicate the actual quantity of copper busbar raw materials used and the cutting scheme for cutting each copper busbar raw material.

[0031] The preset conditions may include a preset maximum loss, a maximum practical copper bar raw material, an order of consuming copper bar raw materials, etc., and their main function is to limit the final target tailoring solution combination to achieve the optimal strategy.

[0032] In summary, in the embodiment of the present application, the copper bar raw materials actually supplied and the actual copper bar segment demand can be determined based on the copper bar segment demand list and the copper bar segment raw material supply list. Subsequently, the determined cutting scheme combination can meet the actual copper bar segment demand and can be implemented based on the actual copper bar raw material supply. Finally, based on the preset conditions, the optimal target cutting scheme combination is selected from multiple cutting scheme combinations to meet the goal of minimum loss. In this solution, the determination of the cutting scheme combination based on the overall demand and the overall supply situation is conducive to minimizing the total loss and improving the applicability of this solution.

[0033] In some embodiments, before determining the combination of cutting schemes based on the actual copper bar segment demand and the actual copper bar raw material supply, various possible cutting schemes need to be determined first. The process of combining cutting schemes is described below through an exemplary embodiment.

[0034] For illustration, please refer to Figure 3 , which shows a flowchart of a process for determining a combination of nesting schemes provided by an exemplary embodiment of the present application, the process comprising the following steps: Step 301: Based on the standard copper busbar raw material and the length of the standard copper busbar segment, at least one corresponding cutting scheme for standard copper busbar raw materials of different specifications is determined.

[0035] The cutting result corresponding to the cutting scheme includes at least one standard copper busbar segment of one specification.

[0036] Since the copper busbar raw materials and the required length of the copper busbar are usually of fixed specifications, that is, standard copper busbar raw materials and standard copper busbar segment lengths, when determining possible cutting schemes, the cutting schemes can be calculated based on a variety of standard copper busbar raw materials of different specifications, thereby obtaining a variety of feasible cutting schemes corresponding to the various specifications of standard copper busbar raw materials.

[0037] Optionally, a cutting scheme includes cutting a standard copper busbar raw material of one specification to obtain copper busbar segments of multiple different specifications and the number of copper busbar segments of different specifications.

[0038] Optionally, the standard copper busbar raw material length may be 6000mm, 5000mm, 4000mm, 500mm, etc., and the standard copper busbar segment length may be 1200mm, 800mm, 500mm, 300mm, etc.

[0039] Optionally, different cutting plans may correspond to different cutting losses and tailings, and tailings refer to the copper bar raw materials remaining after cutting the copper bar raw materials according to the cutting plan. For example, after cutting a copper bar raw material with a length of 300 mm, a copper bar section with a specification of 300 mm is obtained. If the cutting loss is 5 mm, the tailing obtained from this cutting is 198 mm.

[0040] For illustration, please refer to Figure 2 , which shows a schematic diagram of possible cutting schemes provided by an illustrative embodiment of the present application. The raw material specifications include 6000mm, 5000mm and 500mm, and the obtained copper bar section specifications include 1200mm, 800mm, 500mm and 300mm. And it includes cutting losses and tailings corresponding to different cutting schemes, wherein the raw material specification of the copper bar with a copper bar of 6000mm corresponds to 8 cutting schemes, the raw material specification of the copper bar with a copper bar of 5000mm corresponds to 5 cutting schemes, and the raw material specification of the copper bar with a copper bar of 500mm corresponds to 2 cutting schemes.

[0041] In a possible implementation, the computer device determines possible cutting methods for raw materials of different specifications based on a greedy algorithm.

[0042] Optionally, in the process of determining the cutting plan based on the greedy algorithm, new tail material will be generated after each cutting. When the length of the tail material is greater than a preset length threshold, the computer device needs to select a new cutting copper busbar segment to add to the cutting plan to ensure that the length of the tail material is less than the preset length threshold. For example, the preset length threshold may be 200mm.

[0043] The computer equipment ensures that the tail length corresponding to each nesting scheme is less than the preset length threshold, and the tail length corresponding to each nesting scheme is not less than zero. It can be expressed by the following formula:

[0044] in, is the length of the copper bar raw material of the i-th specification, is the length of the copper busbar section of the kth specification, M is the number of copper busbar sections of different specifications, In the j-th cutting scheme, the length of the cut is The number of copper busbar segments, w is the loss of each cutting.

[0045] In the process of determining at least one nesting scheme corresponding to standard copper busbar raw materials of different specifications, the computer device selects at least one nesting scheme based on the copper busbar segment demand and the copper busbar raw material supply to obtain a nesting scheme combination.

[0046] Step 302: Based on the demand for copper busbar segments and the supply of copper busbar raw materials, at least one nesting scheme is selected to obtain a nesting scheme combination.

[0047] When the demand for copper busbar segments and the supply of raw materials for copper busbar segments are determined, the computer device needs to select at least one cutting scheme from the determined cutting schemes to form a cutting scheme combination. There may be multiple combinations of cutting schemes that can meet the demand for copper busbar segments and the supply of raw materials for copper busbars, so multiple cutting scheme combinations may be formed.

[0048] For example, the tailoring scheme refers to Figure 2 , assuming that the copper busbar segment requirements are 500mm×6, 800mm×2, and the copper busbar materials provided are as shown in Table 1 below:

[0049] Table 1 Then the first set of cutting plan combinations may be [Plan 3, Plan 5], the second set of cutting plan combinations may be [Plan 3, Plan 8, Plan 2], and so on.

[0050] In the embodiment of the present application, different cutting schemes that can be satisfied by different copper busbar raw materials are first determined, and then different cutting schemes are selected and combined based on the copper busbar segment requirements and the copper busbar raw material supply conditions, thereby obtaining a combination of multiple cutting schemes, which is conducive to further determining the target cutting scheme in the subsequent process and selecting the optimal cutting method while satisfying the actual application.

[0051] After obtaining a variety of cutting schemes, different cutting schemes correspond to different cutting losses and tail material lengths. In order to obtain the best cutting scheme combination as much as possible, the conditions for selecting the target cutting scheme combination can be restricted in advance, so as to obtain the target cutting scheme combination that meets the expected requirements.

[0052] Optionally, after determining a plurality of cutting scheme combinations, the computer device uses a linear programming model based on preset conditions to determine the copper busbar raw material to be used, the cutting scheme for cutting the copper busbar raw material, and the number of times each cutting scheme is used to obtain a cutting scheme combination.

[0053] Among them, in order to reduce losses and improve the utilization rate of copper busbar raw materials, the preset conditions can be the total loss value corresponding to the cutting scheme combination, the total tail material length corresponding to the target cutting scheme, the actual amount of copper busbar raw materials used in the target cutting scheme, etc.

[0054] Among them, the linear programming model is used to solve the optimal value of the linear objective function under linear constraints, and the linear constraints and linear objective function used by the linear programming model can both be used as preset conditions.

[0055] In a possible implementation, the preset condition includes a preset objective function. The objective function may be minimizing tailings, minimizing losses, or minimizing the total length of the practical copper bar raw material. Taking the objective function as minimizing the total length of the practical copper bar raw material as an example, the objective function is used to limit the total length of the copper bar raw material used in the target cutting scheme combination to be the minimum. The corresponding formula is as follows:

[0056] Among them, Z is the total length of the copper bar raw material, K is the total number of specifications of the required copper bar segments, is the number of times the j-th cutting scheme is used for the i-th specification copper bar raw material, I i A collection of all specifications of copper busbar raw materials.

[0057] In a possible implementation, the preset conditions also include preset constraints. The computer device uses a linear programming model based on the preset constraints and the linear objective function to determine the copper busbar raw material to be used, the cutting scheme for cutting the copper busbar raw material, and the number of times each cutting scheme is used to obtain a cutting scheme combination.

[0058] The constraint condition is a linear equation or inequality about the decision variable, which is used to limit the value range of the decision variable. In the embodiment of the present application, the decision variable is the number of various cutting schemes used for raw materials of different specifications, that is, the target cutting scheme combination obtained.

[0059] Optionally, since the target cutting scheme combination finally determined by the embodiment of the present application needs to be cut based on it to obtain the required copper busbar segment, the constraint condition includes at least the first constraint condition, which is used to constrain the cutting result corresponding to the target cutting scheme combination to meet the copper busbar segment requirement. The corresponding formula is as follows:

[0060] in, The raw material of copper busbar of the i-th specification The corresponding set of all tailoring solutions, is the required quantity of copper busbar segments of the kth specification.

[0061] For example, assuming k=1, it means the required number of copper busbars of the first specification is 20, then the corresponding first constraint should be ,in, , K=3.

[0062] Optionally, when the target cutting scheme combination determined by the embodiment of the present application is actually used, the copper bar raw material used should be selected from the supplied copper bar raw materials, that is, the target cutting scheme combination indicates that the copper bar raw material used cannot exceed the range of the quantity of the supplied copper bar raw materials. Therefore, the constraint condition includes at least a second constraint condition, and the second constraint condition is used to constrain the actual quantity of each copper bar raw material used by the target cutting scheme combination to be less than the corresponding copper bar raw material supply. The corresponding formula is as follows:

[0063] Where f(i) represents the available supply quantity of the i-th copper busbar raw material.

[0064] The above-mentioned first constraint and second constraint are only used to illustrate the method of determining the target cutting scheme combination, and do not limit the specific content of the first constraint and the second constraint. The constraints may also be constraints on factors such as total cutting loss and remaining tail length.

[0065] In another possible implementation, multiple objective functions and multiple constraints may be set at the same time. For example, a first objective function is set to minimize the total cutting loss, and a second objective function is set to minimize the total tailings. The first constraint and the second constraint are set at the same time, and the linear programming model is solved based on the preset conditions to determine the number of cutting schemes used for different copper busbar raw materials.

[0066] For illustration, please refer to Table 2 below, which shows the number of times each cutting scheme is used for copper busbar raw materials of different specifications, output by a linear programming model provided in an exemplary embodiment of the present application.

[0067]

[0068] Table 2 Among them, the cutting scheme 1, cutting scheme 2 and cutting scheme 3 are the cutting schemes corresponding to the first copper bar raw material, the cutting scheme 4 and cutting scheme 5 are the cutting schemes corresponding to the second copper bar raw material, and the cutting scheme 6 is the cutting scheme corresponding to the third copper bar raw material. Based on the above table, it can be determined that the final target cutting scheme combination is [cutting scheme 1×1, cutting scheme 3×1, cutting scheme 4×3, cutting scheme 5×2].

[0069] Please refer to Figure 4 , which shows a schematic diagram of a structure of an electronic device 400 provided by an exemplary embodiment of the present application. The electronic device in the present application may include one or more of the following components: a processor 410 and a memory 420.

[0070] Optionally, the processor 410 executes the steps in the method for determining the copper busbar cutting scheme provided in any of the above embodiments by running or executing instructions, programs, code sets or instruction sets stored in the memory 420, and calling data stored in the memory 420.

[0071] In addition, the processor can also perform various functions of the device and process data. Optionally, the processor 410 can be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), and programmable logic array (PLA). The processor 410 can integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), a neural network processor (NPU), and a modem. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the touch display; the NPU is used to implement artificial intelligence (AI) functions; and the modem is used to process wireless communications. It is understandable that the above-mentioned modem may not be integrated into the processor 410, but may be implemented separately through a chip.

[0072] The memory 420 may include a random access memory (RAM) or a read-only memory (ROM). Optionally, the memory 420 includes a non-transitory computer-readable storage medium. The memory 420 may be used to store instructions, programs, codes, code sets, or instruction sets. The memory 420 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the following various method embodiments, etc.; the data storage area may store data created according to the use of the device (such as audio data, a phone book), etc.

[0073] The device in the embodiment of the present application further includes a communication component 430 and a display component 440. The communication component 430 may be a Bluetooth component, a WiFi (WIreless-Fidelity) component, an NFC (Near Field Communication) component, etc., for communicating with an external device (server or other device) via a wired or wireless network; the display component 440 is used to display a graphical user interface and / or receive user interaction operations.

[0074] In addition, those skilled in the art will appreciate that the structure of the device shown in the above drawings does not constitute a limitation on the device, and the device may include more or fewer components than shown, or combine certain components, or arrange the components differently. For example, the device also includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, a speaker, and a power supply, which will not be described in detail here.

[0075] An embodiment of the present application also provides a non-transitory computer-readable storage medium storing computer instructions, wherein the storage medium stores at least one program code, and the program code is loaded and executed by a processor to implement the method for determining the copper busbar cutting scheme as described in any of the above embodiments.

[0076] The embodiment of the present application provides a computer program product, which includes computer instructions stored in a computer-readable storage medium. When the computer program is executed by a processor, the method for determining the copper busbar cutting scheme as described in any of the above embodiments is implemented.

Claims

1. A method for determining a copper busbar cutting scheme, characterized in that: The method comprises: Obtain a copper bar segment demand list and a copper bar raw material supply list, wherein the copper bar segment demand list includes a required length and a required quantity corresponding to at least one copper bar segment demand, and the copper bar raw material supply list includes a supply quantity corresponding to at least one copper bar raw material supply and a length of the supplied copper bar raw material; Obtaining a combination of cutting schemes that meets the copper bar segment demand and the copper bar raw material supply, wherein the combination of cutting schemes includes at least one cutting scheme, which is a scheme for cutting a copper bar raw material; Based on preset conditions, a target cutting scheme combination is determined from the cutting scheme combinations, and the target cutting scheme combination is used to indicate the actual quantity of copper busbar raw materials used and the cutting scheme for cutting each copper busbar raw material.

2. The method according to claim 1, characterized in that The step of obtaining a combination of cutting solutions that meets the copper bar segment requirements and the copper bar raw material supply includes: Based on the standard copper bar raw material and the length of the standard copper bar segment, determining at least one corresponding cutting scheme for each of the standard copper bar raw materials of different specifications, wherein the cutting results corresponding to the cutting scheme include at least one standard copper bar segment of one specification; Based on the demand for the copper busbar segments and the supply of the copper busbar raw materials, at least one of the nesting schemes is selected to form the nesting scheme combination.

3. The method according to claim 2, characterized in that The cutting result corresponding to the said cutting scheme includes tailings; The tail lengths corresponding to each nesting scheme are all smaller than a preset length threshold, and the tail lengths corresponding to each nesting scheme are not smaller than zero.

4. The method according to claim 1, characterized in that: The step of determining a target tailoring scheme combination from the tailoring scheme combinations based on the preset conditions includes: Based on the preset conditions, a linear programming model is used to determine the copper busbar raw material to be used, the cutting scheme for cutting the copper busbar raw material, and the number of times each cutting scheme is used to obtain the cutting scheme combination.

5. The method according to claim 4, characterized in that The preset condition includes a preset objective function, and the objective function is used to limit the total length of the copper busbar raw material used in the target cutting scheme combination to be minimum.

6. The method according to claim 5, characterized in that The preset conditions also include preset constraints. The step of determining a target tailoring scheme combination from the tailoring scheme combinations based on the preset conditions includes: Based on the constraint conditions and the objective function, a linear programming model is used to determine the number of times that copper busbar raw materials of different specifications are subjected to various nesting schemes, and the nesting scheme combination is obtained.

7. The method according to claim 6, characterized in that The constraint conditions include at least a first constraint condition, and the first constraint condition is used to constrain the cutting result corresponding to the target cutting scheme combination to meet the copper busbar segment requirement.

8. The method according to claim 6, characterized in that The constraint condition includes at least a second constraint condition, and the second constraint condition is used to constrain the actual quantity of each copper bar raw material used in the target tailoring solution combination to be less than the corresponding copper bar raw material supply quantity.

9. An electronic device, comprising: at least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for determining the copper busbar cutting scheme as described in any one of claims 1 to 8.

10. A non-transitory computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to enable the computer to execute the method for determining the copper busbar cutting scheme as described in any one of claims 1 to 8.

11. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for determining a copper busbar cutting scheme according to any one of claims 1 to 8 is implemented.

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