Calculation Method for Planning and Cutting of Silicon Steel Sheets

Abstract

The present invention discloses a calculation method for planning and cutting silicon steel sheets, including: identifying a target width according to the net demand parameters of each width of the strip under a grade; setting priorities for the target width and a preset conventional width; based on the priorities, calculating a slitting strategy for forming the required strip by slitting each coil stored in advance and obtaining a target strategy from multiple slitting strategies according to preset conditions. By means of an automatic calculation method, the present invention can calculate multiple strategies for cutting a coil into a target width, reducing errors and time costs of manual calculation; and by using the priorities preset for the target width and the conventional width, the coil is preferentially cut into the target width and then into the conventional width, thereby improving the utilization rate of the coil and preventing waste of residual coils. In addition, the adoption of the automatic calculation method helps to improve the cutting accuracy of silicon steel sheets, thereby enhancing the overall performance of the transformer, enabling rapid iterative calculation of the scheme and facilitating finding the optimal solution.

Description

Technical Field

[0001] The present invention relates to the technical field of silicon steel sheet cutting methods, and particularly to a calculation method for planned cutting of silicon steel sheets. Background Art

[0002] In the power industry, as an indispensable device in the power system, the performance stability and reliability of transformers directly affect the operation efficiency and safety of the power system. And the transformer core, as the core component of the transformer, the selection of its material and processing technology are crucial; silicon steel sheets, with their excellent magnetic conductivity and low loss characteristics, have become the ideal materials for manufacturing transformer cores. During the manufacturing process, silicon steel sheets need to be precisely cut and laminated to ensure the magnetic circuit performance of the transformer, and this process has an important impact on both the material utilization rate and the final performance of the transformer.

[0003] During the process of manufacturing transformer cores, the cutting technology of silicon steel sheets plays a crucial role. First of all, the cutting accuracy directly affects the performance and stability of the core. If there are errors or deviations during the cutting process, it may lead to inaccurate core dimensions, thereby affecting the electrical performance of the transformer. Secondly, the cutting quality is also related to the yield rate and production cost of the core. If the cutting quality does not meet the standards, it may lead to material waste and a decline in product quality.

[0004] In traditional technologies, the cutting calculation of silicon steel sheets is usually carried out by manual calculation, which is not only prone to calculation errors, but also difficult to comprehensively consider the consumable material cost during the calculation process, easily leading to material waste and low calculation efficiency. Summary of the Invention

[0005] The purpose of the present invention is to provide a calculation method for planned cutting of silicon steel sheets to solve the problems in the prior art that when the cutting calculation of silicon steel sheets is carried out by manual calculation, it is not only prone to calculation errors, but also difficult to comprehensively consider the consumable material cost during the calculation process, easily leading to material waste and low calculation efficiency.

[0006] To achieve one of the above-mentioned invention purposes, an embodiment of the present invention provides a calculation method for planned cutting of silicon steel sheets, and the method includes: identifying a target width according to the net demand parameters of each width of the strip under the grade;

[0007] Setting priorities for the target width and a preset conventional width;

[0008] Based on the priorities, calculating the longitudinal cutting strategies required for each coil to be longitudinally cut into strips to be pre-stored and obtaining the target strategy among multiple longitudinal cutting strategies according to preset conditions.

[0009] As a further improvement of the present invention, the method further includes: the net demand parameter includes a net weight demand value, and calculating the net weight demand value of the strip material includes:

[0010] Summarize the weight requirements of the required strip material according to the grade and width requirements;

[0011] Compare with the weight values corresponding to the grade and width in the pre-stored strip material;

[0012] Calculate the net weight demand value for each width under the corresponding grade.

[0013] As a further improvement of the present invention, the method further includes: the target width is the corresponding width when the net weight demand value of the strip width meets a preset condition.

[0014] As a further improvement of the present invention, the method further includes that if the target width is identified under multiple grades, multiple sets are set corresponding to the above grades, and the target widths under each grade are respectively formed in the corresponding sets and the preset conventional widths are supplemented in the corresponding sets;

[0015] Set priorities for the target widths and conventional widths in each set.

[0016] As a further improvement of the present invention, the method further includes: calculating the longitudinal shearing strategy for forming the required strip material from each pre-stored coil material specifically includes:

[0017] Based on the priority widths in each set, use the dynamic programming algorithm to calculate and obtain multiple longitudinal shearing strategies for each pre-stored coil material;

[0018] Use the integer programming algorithm to optimize and select the longitudinal shearing strategy to obtain the target strategy.

[0019] As a further improvement of the present invention, the method further includes: presetting constraint conditions in the integer programming algorithm, and calculating and obtaining multiple longitudinal shearing strategies for each coil material within the range of the pre-stored coil width through the constraint conditions.

[0020] As a further improvement of the present invention, the method further includes: the constraint conditions are:

[0021] ;

[0022] ;

[0023] 0, i = 1, 2, 3...n;

[0024] Wherein, n represents n longitudinal shearing strategies; use To represent the number of coil materials cut according to the i-th longitudinal shearing strategy; represents the total output weight of the strip with width g under all slitting strategies; the function is used to solve the weight of the strip with width g; ( ) represents calculating the weight of the strip with width g produced under the i-th slitting strategy; represents the total required weight of the strip with width g for m target objects; Dg(j) represents the required weight of the strip with width g for the j-th transformer; represents the sum of the number of coils with width s under all slitting strategies; the function is used to solve the number of coils with width s, represents calculating the number of coils with width s used under the i-th slitting strategy; represents the inventory quantity of coils with width s.

[0025] As a further improvement of the present invention, the method further includes: presetting an objective function in the integer programming algorithm, and obtaining a target strategy among multiple slitting strategies according to preset conditions, including: obtaining a slitting strategy that meets the conditions of the objective function among multiple slitting strategies as the target strategy.

[0026] As a further improvement of the present invention, the method further includes: the objective function is:

[0027] ;

[0028] wherein, z represents the total weight of the used coils, and n represents the total number of cutting strategies for coils with different widths; represents the weight of the coil corresponding to the i-th slitting strategy.

[0029] As a further improvement of the present invention, the method further includes: further including obtaining the weight requirements of the sheets required by the target object, and calculating the cross-cutting strategy of the strip based on the parameters of the sheets, including:

[0030] obtaining the weight requirements of the sheets required by the target object and summarizing and inducing the weight requirements, where the target object includes the weight requirements of at least one sheet width and thickness;

[0031] obtaining the strip data in the inventory, and extracting the corresponding strip data according to the width and grade of the corresponding sheet;

[0032] merging the weight values of the sheets according to the grade, width and sheet thickness of the sheets to obtain the weight requirements classified according to different sheet thicknesses;

[0033] classifying the corresponding strip data according to the sheet thickness and matching it one by one with the weight requirements;

[0034] Under each classification, a transverse cutting sequence for allocating strip materials to form side pieces, yoke pieces, and middle pieces is determined to form a transverse cutting strategy.

[0035] Compared with the prior art, the present invention has the following beneficial effects: Through an automatic calculation method, multiple strategies for cutting a coil material into a target width can be calculated, reducing manual calculation errors and time costs; and by using the priorities set in advance for the target width and the conventional width, the coil material is preferentially cut to the target width and then to the conventional width, thereby improving the utilization rate of the coil material and preventing waste of residual coil material. In addition, the use of an automatic calculation method helps to improve the cutting accuracy of silicon steel sheets, thereby enhancing the overall performance of the transformer, enabling rapid iterative calculation of solutions, and facilitating finding the optimal solution. Description of the Drawings

[0036] Figure 1 is a flowchart of a strategy calculation method for longitudinally cutting a coil material into strip materials in an embodiment of the present invention.

[0037] Figure 2 is a flowchart of a method for calculating the net weight requirement value of strip materials in an embodiment of the present invention.

[0038] Figure 3 is a flowchart of a strategy calculation method for transversely cutting strip materials into sheet materials in an embodiment of the present invention. Detailed Embodiments

[0039] The present invention will be described in detail below with reference to the specific embodiments shown in the drawings. However, these embodiments do not limit the present invention, and any structural, method, or functional transformation made by those of ordinary skill in the art based on these embodiments is included in the protection scope of the present invention.

[0040] It should be noted that the term "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or device including a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or device.

[0041] In an embodiment of the present invention, a calculation method for planning and cutting silicon steel sheets is provided. This method can be used to calculate the cutting strategy of silicon steel sheets to form the sheet materials required for a transformer core. Specifically, in the field of transformer cores, silicon steel sheets are used as raw materials for core manufacturing. The coil material of silicon steel sheets is longitudinally cut into strip materials and then transversely cut to form sheet materials, which are finally used for laminating to form a transformer core.

[0042] As Figure 1 shown, a calculation method for planning and cutting silicon steel sheets includes:

[0043] Step S1: Identify the target width according to the net demand parameters of each width of the strip under the grade.

[0044] Step S2: Set priorities for the target width and the preset conventional width.

[0045] Step S3: Based on the priorities, calculate the slitting strategies for forming the required strips from each pre-stored coil stock by slitting, and obtain the target strategy among multiple slitting strategies according to the preset conditions.

[0046] In this way, in the above embodiment, various strategies for cutting the coil stock into the target width can be calculated by an automatic calculation method, reducing the errors and time costs of manual calculation; and by using the priorities set in advance for the target width and the conventional width, the coil stock is preferentially cut into the target width and then into the conventional width, thereby improving the utilization rate of the coil stock and preventing waste of residual coil stock. In addition, using the automatic calculation method helps to improve the cutting accuracy of silicon steel sheets, thereby enhancing the overall performance of the transformer, and can quickly perform iterative calculations of the scheme to facilitate finding the optimal solution.

[0047] Among them, identifying the target width can be understood as identifying the corresponding width with insufficient net demand, that is, if the net demand for the strip with a width of 60 mm is insufficient, then the target width is 60 mm.

[0048] Setting the priority means that when slitting the coil stock, the strip with a width of the target width (60 in the above example) is preferentially cut. In one embodiment, the priority of the target width can be set to 100, and the priority of the conventional width can be set to 50, so as to save waste of coil stock to the greatest extent possible.

[0049] The coil stock is cut into multiple strips by slitting. For example, if the width of the coil stock is 1500 mm, 25 strips with a width of 60 mm can be slit.

[0050] The strategy can be understood as the cutting method, including the slitting strategy: the method of slitting the coil stock; including the cross-cutting strategy: the method of cross-cutting the strip. The target strategy is the best slitting strategy that meets the requirements among multiple slitting strategies.

[0051] The strip data can be understood as the parameter data of the corresponding strip when calculating to slit the coil stock into the required width strips during the simulation execution of the target strategy in the computer program, such as data of thickness, length, width, and quantity.

[0052] The preset sheet material demand parameters are the size demand, quantity demand, etc. of the sheet material. In the above implementation scenario, parameters such as the size demand and quantity demand of the sheet material can be obtained according to the design requirements of the transformer. The sheet material includes the middle sheet, yoke sheet, and side sheet of the transformer core. Calculate the strategy for cross-cutting each strip into sheet materials according to the demand parameters.

[0053] In one embodiment of the present invention, as Figure 2 shown, the net demand parameter includes a net weight demand value. Calculating the net weight demand value of the strip material includes:

[0054] Summarize the weight demand of the required strip material according to the grade and width demand;

[0055] Compare with the weight values of the corresponding grade and corresponding width in the pre-stored strip material;

[0056] Calculate the net weight demand value for each width under the corresponding grade.

[0057] In this way, when manufacturing a transformer core, it is possible to query whether there is sufficient silicon steel sheet material in the inventory according to the manufacturing requirements, so as to quickly determine the grade and corresponding width of the silicon steel sheet required for manufacturing the core, and then calculate the cutting strategy, which greatly saves the time for material determination, calculation, and generating the strategy.

[0058] The pre-stored strip material is the strip material stored in the inventory. By entering the system, the inventory quantity can be saved in the system and the current inventory quantity can be updated in real time after each use; the inventory quantity is stored in the system by recording the grade, width, and weight parameters.

[0059] It should be noted that the target width is the corresponding width when the net weight demand value of the strip width meets the preset conditions.

[0060] For example, the preset condition can be a net weight demand value greater than 0; it can also be a net weight demand value less than 0.

[0061] If the net weight demand value = the weight demand of the required strip material - the weight value of the corresponding grade and corresponding width in the pre-stored strip material; then the preset condition is a net weight demand value less than 0, which means that the weight demand of the required strip material is less than the pre-stored quantity.

[0062] If the net weight demand value = the weight value of the corresponding grade and corresponding width in the pre-stored strip material - the weight demand of the required strip material; then the preset condition is a net weight demand value greater than 0, which means that the weight demand of the required strip material is less than the pre-stored quantity.

[0063] In the above embodiment, calculate the longitudinal cutting method of the coil material according to the priority of the target width and the preset conventional width. By setting the priority, first longitudinally cut the strip material with the target width on the coil material, and then the remaining coil material can be longitudinally cut into strip materials with conventional widths, so as to make better use of the coil material to a greater extent.

[0064] In an embodiment of the present invention, if the target width is identified under multiple grades, multiple sets are set corresponding to the above grades, and the target widths under each grade are respectively formed in the corresponding sets and the preset conventional widths are supplemented in the corresponding sets; priorities are set for the target widths and the conventional widths in each set. In this way, the target widths under each grade can be independently stored by setting sets, that is, each set represents the strip material requirements under this grade. When performing slitting calculations, calculations are respectively performed for each set, which can prevent the interference of the same width under different grades.

[0065] In one embodiment, priorities can also be set for the sets; in this way, important grades can be processed preferentially.

[0066] In one embodiment, priorities can also be set for the transformers; in this way, important transformers can be processed preferentially, that is, the width requirements of each stage in the important transformers are preferentially judged.

[0067] It should be noted that the width requirement can be understood as the requirement for the strip material corresponding to the width, such as the requirement for the strip material with a width of 90 mm.

[0068] Furthermore, if a grade includes multiple target widths, different priorities or the same priorities are respectively set for each target width. For example, if under the same grade, the demand quantity for a width of 90 mm is the same as that for a width of 130 mm, the same priority can be set, such as a priority of 100 for both, and the priority set for the conventional width is 50. If the demand quantity for a width of 90 mm is greater than that for a width of 130 mm, different priorities can be set, such as a priority of 100 for the strip material with a width of 90 mm, a priority of 70 for the strip material with a width of 130 mm, and a priority of 50 for the conventional width.

[0069] In an embodiment of the present invention, the slitting strategies for each pre-stored coil material to form the required strip material calculated specifically include: based on the priority widths in each set, using the dynamic programming algorithm to calculate and obtain multiple slitting strategies for each pre-stored coil material, and then using the integer programming algorithm to optimize and select the slitting strategies to obtain the target strategy.

[0070] In this way, all slitting strategies can be calculated exhaustively, solving the problems of time-consuming and laborious manual calculation and the high error rate of manual calculation.

[0071] In an embodiment of the present invention, constraint conditions are preset in the integer programming algorithm, and multiple slitting strategies for each coil material are calculated and obtained within the pre-stored coil material width range through the constraint conditions.

[0072] In this way, by using the constraint conditions, the coil stock used can be made not to exceed the inventory, and the weight supply of the cut strip material needs to meet the demand.

[0073] Furthermore, the constraint conditions are:

[0074] ;

[0075] ;

[0076] 0, i = 1, 2, 3...n;

[0077] where n represents n slitting strategies; use to represent the number of coil stocks cut according to the i-th slitting strategy; represents the total output weight of the strip material with width g under all slitting strategies; the function is used to solve the weight of the strip material with width g; ( ) represents calculating the weight of the strip material with width g produced under the i-th slitting strategy; represents the total required weight of the strip material with width g for m target objects; Dg(j) represents the required weight of the strip material with width g for the j-th transformer; represents the sum of the number of coil stocks with width s under all slitting strategies; the function is used to solve the number of coil stocks with width s, represents calculating the number of coil stocks with width s used under the i-th slitting strategy; represents the inventory quantity of the coil stock with width s.

[0078] where the target object can be a transformer, that is, it represents the total required weight of the strip material with width g for m transformers.

[0079] In an embodiment of the present invention, a target function is preset in the integer programming algorithm, and obtaining the target strategy from multiple slitting strategies according to the preset conditions includes: obtaining the slitting strategy that meets the target function conditions from multiple slitting strategies as the target strategy. In this way, the total weight of the consumed inventory coil stock can be minimized, excessive consumables can be avoided, and costs can be saved.

[0080] Furthermore, the target function is:

[0081] ;

[0082] where z represents the total weight of the coil stocks used, and n represents the total number of cutting strategies for coil stocks of all different widths; represents the weight of the coil stock corresponding to the i-th slitting strategy.

[0083] In an embodiment of the present invention, as Figure 3 shown, it further includes obtaining the weight requirement of the sheet material required by the target object, and calculating the cross-cutting strategy of the strip material based on the parameters of the sheet material, including:

[0084] Step T1: Obtain the weight requirement of the sheet material required by the target object and summarize the weight requirements. The target object includes the weight requirements of at least one sheet width and thickness;

[0085] Step T2: Obtain the strip material data in the inventory, and extract the corresponding strip material data according to the width and grade of the corresponding sheet material;

[0086] Step T3: Combine the weight values of the sheet materials according to the grade, width and sheet thickness of the sheet material to obtain the weight requirements classified according to different sheet thicknesses;

[0087] Step T4: Classify the corresponding strip material data according to the sheet thickness and match them one by one with the weight requirements;

[0088] Step T5: Allocate strip materials under each classification to form the cross-cutting order of side sheets, yoke sheets and middle sheets, thereby forming a cross-cutting strategy.

[0089] In this way, through the cross-cutting strategy in the above embodiment, it is possible to reduce material waste, the thickness of each stage of the transformer core is consistent on the side sheet, yoke sheet and middle sheet, and the time consumed by cross-cutting is less.

[0090] It should be noted that the target object can be a transformer. The transformer core has multiple stages, and each stage needs to be formed by sheet materials of a certain thickness, a certain width and a certain weight. If there are multiple transformers, the priority of the transformers can be set, and the cross-cutting strategy of the sheet materials of each transformer can be calculated according to the priority.

[0091] In step T1, as shown in Table 1, it is the weight requirement table for each stage of the transformer. Summarizing the weight requirements: To obtain the weight requirements of each stage of the transformer, first, the grades can be sorted, and then the widths can be sorted to obtain the weight requirements arranged in order.

[0092] Table 1 Weight Requirement Table for Each Stage of the Transformer

[0093]

[0094] As shown in Table 2, it is the induction table for the first stage and the fifth stage of the transformer. Summarizing the weight requirements: According to the width parameter, the weight requirements of different stages but the same grade and the same width of the transformer are summarized together. For example, if there are two weight requirements for a width of 90 mm, then these two weight requirements are summarized so that these two weight requirements can be calculated together later.

[0095] Table 2 Induction Table for the First Stage and the Fifth Stage of the Transformer

[0096]

[0097] In step T2, obtain the pre-stored strip material data from the inventory, including the grade information, width information, weight information, etc. of the strip material; then obtain the strip material data of the same grade and the same width from the data obtained from the inventory corresponding to the weight requirement of the sheet material required in step T1; so that the strip material in the inventory corresponds to the required sheet material. It should be noted that the strip material data obtained from the inventory has the same grade as the required sheet material.

[0098] In step T3, as shown in Table 3, it is a table of different sheet thickness requirements in the same level of the transformer. Based on the weight requirements summarized in step T1, merge the weight requirements according to the sheet thickness, that is, merge the weight requirements of the same sheet thickness together. It should be noted that merge the weight requirements of the same level in the transformer, and merge the weight requirements of the same sheet thickness under the same level together.

[0099] For example, in the first level of the transformer, for grade 90, width 90mm, and sheet thickness 0.2, the weight requirements include two requirements of 20kg and 40kg. Then merge the above two requirements to form a weight requirement of 60kg for grade 90, width 90mm, and sheet thickness 0.2; thus obtain the classification of different sheet thicknesses in the same level of the transformer.

[0100] Table 3 Table of different sheet thickness requirements in the same level of the transformer

[0101]

[0102] In step T4, the strip material data obtained from the inventory is also merged according to the sheet thickness, that is, the weight values of the same sheet thickness are merged together; thus obtain the weight classification of different sheet thicknesses, and then correspond the weight of the strip material in the inventory to the weight requirement of the sheet material of the same sheet thickness through the sheet thickness classification situation.

[0103] In step T5, under each classification, it can be understood as, under each sheet thickness classification; allocating the strip material can be understood as allocating the weight of the strip material corresponding to the sheet thickness in the inventory to the weight requirement of the sheet material of the same sheet thickness. For example, if the weight of the strip material with a sheet thickness of 0.2 in the inventory is 60kg, and the weight requirement of the sheet material corresponding to the first level of the iron core of the transformer with a sheet thickness of 0.2 is 40kg, then 40kg of the 60kg of the strip material is allocated to the first level of the iron core; if the weight of the strip material with a sheet thickness of 0.2 in the inventory is 20kg + 20kg, that is, there are two strip materials of 20kg, then both strip materials are allocated to the first level of the iron core.

[0104] The cross-cutting sequence for forming the side pieces, yoke pieces, and middle pieces from the strip material can be understood as follows: Calculate the weight requirements for the side pieces, yoke pieces, and middle pieces for each sheet thickness, and perform cross-cutting on the strip material according to the weight requirements of the side pieces, yoke pieces, and middle pieces to form sheet materials that meet the weight requirements of the side pieces, yoke pieces, and middle pieces.

[0105] In one embodiment, the assigned cross-cutting sequence can be to cut the yoke pieces and the side pieces together.

[0106] In one embodiment, for strip materials of the same specification, the cross-cutting can be performed on the side pieces, yoke pieces, and middle pieces with the same weight requirements for the same sheet thickness using the same strategy simultaneously.

[0107] In this way, by combining the weight requirements for the same sheet thickness at the same level, the cross-cutting efficiency can be improved; and by cutting the yoke pieces and the side pieces together, the speed of forming the yoke pieces and the side pieces can be increased; performing cross-cutting on the side pieces, yoke pieces, and middle pieces with the same weight requirements for the same sheet thickness of strip materials of the same specification using the same strategy simultaneously can reduce material waste and achieve a higher cross-cutting efficiency at the same time.

[0108] In summary, the calculation method for the planned cutting of silicon steel sheets includes calculating the optimal longitudinal cutting strategy and cross-cutting strategy. Using the dynamic programming algorithm, exhaustively generate the strategies for longitudinal cutting for the target width (the width missing in the pre-stored strip material), and then use the integer programming algorithm to query the optimal longitudinal cutting strategy level target strategy based on the preset objective function and constraint conditions; summarize the weight requirements of the sheet materials, integrate and classify the strip material data in the inventory, and allocate the cross-cutting sequence for the strip materials in the inventory corresponding to the weight requirements of the sheet materials to form the optimal cross-cutting strategy.

[0109] It should be understood that although this specification is described according to the embodiments, not every embodiment only contains an independent technical solution. This narrative way of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

[0110] The series of detailed descriptions listed above are only specific descriptions of the feasible embodiments of the present invention, and they are not intended to limit the protection scope of the present invention. Any equivalent embodiments or changes made without departing from the technical spirit of the present invention should be included in the protection scope of the present invention.

Claims

1. A calculation method for planning and cutting of silicon steel sheets, characterized in that: include: Identify the target width based on the net requirement parameters for each width of strip material under the grade; If target widths are identified under multiple brands, multiple sets are set corresponding to the brands, the target widths under each brand are formed in the corresponding sets respectively, and the preset conventional widths are supplemented in the corresponding sets; Prioritize target width and regular width within each set; Based on the priority, a pre-stored slitting strategy for slitting each coil material to form a required strip material is calculated; A longitudinal shearing strategy that meets the preset objective function conditions is obtained from multiple longitudinal shearing strategies as the target strategy, wherein the objective function is , z represents the total weight of the coil used, n represents the total number of all coil cutting strategies with different widths, It represents the weight of the coil of corresponding width for the i-th slitting strategy.

2. The calculation method for planning and cutting of silicon steel sheets according to claim 1, characterized in that: The net requirement parameter includes a net weight requirement value, and the calculation of the net weight requirement value of the strip includes: Summarize the weight requirements of the required strips according to the brand and width requirements; Compare the weight values ​​of the corresponding grades and widths in the pre-stored strips; Calculate the net weight requirement for each width under the corresponding brand.

3. The calculation method for planning and cutting of silicon steel sheets according to claim 2, characterized in that: The target width is the width corresponding to the net weight requirement value of the strip width that meets the preset conditions.

4. The calculation method for planning and cutting of silicon steel sheets according to claim 1, characterized in that: The specific slitting strategies calculated for each pre-stored coil slitting to form the required strip material include: Based on the priority width in each set, a dynamic programming algorithm is used to calculate and obtain multiple slitting strategies for each pre-stored coil material; The integer programming algorithm is used to optimize the longitudinal shearing strategy and obtain the target strategy.

5. The calculation method for planning and cutting of silicon steel sheets according to claim 4 is characterized in that: Constraints are preset in the integer programming algorithm, and multiple slitting strategies for each coil are calculated and obtained within a pre-stored coil width range through the constraints.

6. The calculation method for planning and cutting of silicon steel sheets according to claim 5, characterized in that: The constraints are: ； ； 0,i=1,2,3...n; Where n represents n longitudinal shearing strategies; represents the number of coils cut according to the i-th slitting strategy; It represents the total output weight of strip with width g under all longitudinal shearing strategies; function Used to solve the weight of the strip with a width of g; ( ) represents the calculation of the weight of the strip with a width of g produced under the i-th longitudinal shearing strategy; represents the total weight required by m target objects for belt materials with a width of g; Dg(j) represents the weight required by the j-th transformer for belt materials with a width of g; Represents the sum of the number of coils with width s under all slitting strategies; function Used to solve the number of coils with a width of s, It means calculating the number of coils with width s under the i-th slitting strategy; Indicates the inventory quantity of coils with width s.

7. The calculation method for planning and cutting of silicon steel sheets according to claim 1 is characterized in that: The method also includes obtaining the weight requirement of the sheet material required by the target object, and calculating the cross-cutting strategy of the strip material based on the parameters of the sheet material, including: Obtaining a weight requirement of a sheet material required by a target object and summarizing the weight requirement, wherein the target object includes at least one weight requirement of a sheet material width and thickness; Obtain the strip material data in the inventory, and extract the corresponding strip material data according to the width and brand of the corresponding sheet material; Combine the weight values ​​of the sheets according to the sheet grade, width and thickness to obtain the weight requirements classified by different sheet thicknesses; Classify the corresponding strip material data according to the thickness and match them one by one with the weight requirements; Under each category, the strip is allocated to form the cross-cutting sequence of the side pieces, yoke pieces and middle pieces, thereby forming a cross-cutting strategy.

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