Calculation method for planned cutting of silicon steel sheet

Abstract

The invention discloses a calculation method for planned cutting of a silicon steel sheet. The calculation method comprises the following steps: identifying a target width according to a net demand parameter of each width of a strip under a mark; setting priorities for the target width and a preset conventional width; and based on the priorities, performing calculation to obtain a pre-stored slitting strategy for slitting each coil material to form the required strip material, and obtaining a target strategy in a plurality of slitting strategies according to a preset condition. According to the method, various strategies for cutting the coil stock into the target width can be calculated through an automatic calculation method, and errors and time cost of manual calculation are reduced; and by utilizing the priority set for the target width and the conventional width in advance, the roll material is preferentially cut to the target width and then cut to the conventional width, so that the utilization rate of the roll material can be improved, and the waste of the residual roll material is prevented. In addition, by adopting an automatic calculation method, the cutting precision of the silicon steel sheet can be improved, so that the overall performance of the transformer is improved, iterative calculation of the scheme can be quickly carried out, and an optimal solution can be conveniently found.

Description

Technical Field

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

[0002] In the power industry, transformers are indispensable equipment in power systems. The stability and reliability of their performance directly affect the operating efficiency and safety of power systems. As the core component of the transformer, the selection of materials and processing technology are crucial. Silicon steel sheets have become an ideal material for manufacturing transformer cores due to their excellent magnetic conductivity and low loss characteristics. During the manufacturing process, silicon steel sheets need to be precisely cut and stacked to ensure the magnetic circuit performance of the transformer. This process has an important impact on the utilization rate of the material and the final performance of the transformer.

[0003] In the process of making transformer core, the cutting technology of silicon steel sheets plays a vital role. First of all, the cutting accuracy directly affects the performance and stability of the core. If there are errors or deviations in the cutting process, it may lead to inaccurate dimensions of the core, which in turn affects 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 reduced product quality.

[0004] In traditional technology, manual calculation is usually used to calculate the cutting of silicon steel sheets, which is not only prone to calculation errors, but also difficult to comprehensively consider the cost of consumables during the calculation process, which easily leads 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 planning and cutting of silicon steel sheets, so as to solve the problem that the prior art uses manual calculation to perform cutting calculations for silicon steel sheets, which is not only prone to calculation errors, but also difficult to comprehensively consider the cost of consumables during the calculation process, easily leading to material waste and low calculation efficiency.

[0006] To achieve one of the above-mentioned purposes of the invention, an embodiment of the present invention provides a calculation method for planning and cutting of silicon steel sheets, the method comprising: identifying a target width according to a net requirement parameter of each width of a strip material under a grade; Prioritize the target width and a preset normal width; Based on the priority, a pre-stored slitting strategy for slitting each coil material to form a required strip material is calculated and a target strategy among multiple slitting strategies is obtained according to preset conditions.

[0007] As a further improvement of the present invention, the method further includes: the net requirement parameter includes a net weight requirement value, and calculating 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.

[0008] As a further improvement of the present invention, the method further includes: the target width is a width corresponding to a net weight requirement value of the strip width that meets a preset condition.

[0009] As a further improvement of the present invention, the method further includes, if target widths are identified under multiple brands, setting multiple sets corresponding to the above brands, forming the target widths under each brand in the corresponding sets respectively and supplementing the preset conventional widths in the corresponding sets; Prioritizes target width and regular width within each set.

[0010] As a further improvement of the present invention, the method further includes: calculating the pre-stored slitting strategy for each coil to form the required strip material specifically includes: 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.

[0011] As a further improvement of the present invention, the method further includes: presetting constraints in the integer programming algorithm, and calculating multiple longitudinal cutting strategies for each coil material within a pre-stored coil material width range through the constraints.

[0012] As a further improvement of the present invention, the method further includes: the constraint condition is: ; ; 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.

[0013] As a further improvement of the present invention, the method also includes: presetting an objective function in the integer programming algorithm, and obtaining a target strategy from multiple longitudinal cutting strategies according to preset conditions, including: obtaining a longitudinal cutting strategy that meets the objective function conditions from multiple longitudinal cutting strategies as the target strategy.

[0014] As a further improvement of the present invention, the method further includes: the objective function is: ; Where z represents the total weight of the coil used, and 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.

[0015] As a further improvement of the present invention, the method further includes: further including obtaining the weight requirement of the sheet material required by the target object, and calculating and obtaining the cross-cutting strategy of the strip material based on the parameters of the sheet material includes: 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.

[0016] Compared with the prior art, the present invention has the following beneficial effects: through the automatic calculation method, multiple strategies for cutting the coil into the target width can be calculated, reducing the errors and time cost of manual calculation; and by using the priority set in advance for the target width and the conventional width, the coil is cut to the target width first, and then the conventional width is cut, thereby improving the utilization rate of the coil and preventing the waste of residual coil. In addition, the use of the automatic calculation method helps to improve the precision of silicon steel sheet cutting, thereby improving the overall performance of the transformer, and can quickly perform iterative calculations of the solution to facilitate finding the optimal solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flow chart of a strategy calculation method for slitting coils to form strips in one embodiment of the present invention.

[0018] Figure 2 It is a flow chart for calculating the net weight requirement of the strip material in one embodiment of the present invention.

[0019] Figure 3 It is a flow chart of a strategy calculation method for transversely shearing a strip to form a sheet in one embodiment of the present invention. DETAILED DESCRIPTION

[0020] 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.

[0021] It should be noted that the term "comprise" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or apparatus that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or apparatus.

[0022] In one embodiment of the present invention, a calculation method for planning and cutting of silicon steel sheets is provided. The method can be used to calculate the cutting strategy of silicon steel sheets to form the sheets required for transformer cores. Specifically, in the field of transformer cores, silicon steel sheets are used as raw materials for core manufacturing. The silicon steel sheet coils are longitudinally cut to form strips, and the strips are formed into sheets by transverse cutting, which are finally stacked to form transformer cores.

[0023] like Figure 1 As shown, a calculation method for planning and cutting of silicon steel sheets includes: Step S1: Identify the target width according to the net requirement parameters of each width of the strip material under the brand; Step S2: setting a priority for the target width and the preset normal width; Step S3: Based on the priority, calculate and obtain the pre-stored slitting strategy for each coil material to form the required strip material and obtain a target strategy from multiple slitting strategies according to preset conditions.

[0024] Thus, in the above implementation, the automatic calculation method can be used to calculate various strategies for cutting the coil into the target width, reducing the errors and time cost of manual calculation; and by using the priority set in advance for the target width and the regular width, the coil is cut to the target width first, and then the regular width is cut, thereby improving the utilization rate of the coil and preventing the waste of residual coil. In addition, the automatic calculation method helps to improve the precision of silicon steel sheet cutting, thereby improving the overall performance of the transformer, and can quickly perform iterative calculations of the solution to facilitate finding the optimal solution.

[0025] Among them, identifying the target width can be understood as identifying the corresponding width of the insufficient net demand, that is, if the net demand of the strip with a width of 60 mm is insufficient, the target width is 60 mm.

[0026] Setting the priority means that the coil material is preferentially cut into strips with a target width (such as 60 in the above embodiment) when slitting. In one embodiment, the target width priority can be set to 100 and the normal width priority can be set to 50, so that the waste of coil material can be saved to the greatest extent possible.

[0027] The coil is cut into multiple strips by longitudinal cutting. For example, if the coil width is 1500 mm, 25 strips with a width of 60 mm can be longitudinally cut.

[0028] The strategy can be understood as a cutting method, including a longitudinal cutting strategy: a method of longitudinally cutting coils; and a transverse cutting strategy: a method of transversely cutting strips. The target strategy is the best longitudinal cutting strategy that meets the requirements among multiple longitudinal cutting strategies.

[0029] The strip data can be understood as the parameter data corresponding to the strip when the coil is longitudinally cut into strips of required width, such as thickness, length, width and quantity, etc., calculated when simulating the execution of the target strategy in a computer program.

[0030] The preset sheet material demand parameters are the sheet material size requirements, quantity requirements, etc. In the above implementation scenario, the sheet material size requirements, quantity requirements, etc. parameters 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. The strategy of cross-cutting the sheet material from each strip is calculated according to the demand parameters.

[0031] In one embodiment of the present invention, Figure 2 As shown, the net requirement parameter includes a net weight requirement value, and calculating 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.

[0032] In this way, when manufacturing the transformer core, it is possible to query whether there is enough silicon steel sheet material in stock according to the manufacturing requirements, so as to quickly determine the silicon steel sheet brand and corresponding width required for manufacturing the core, and then calculate the cutting strategy, which greatly saves the time of material determination, calculation, and generation strategy.

[0033] The pre-stored strips are strips stored in inventory. The inventory can be saved in the system by entering it into the system and the current inventory can be updated in real time after each use. The inventory is stored in the system by recording brand, width and weight parameters.

[0034] It should be noted that the target width is the corresponding width when the net weight requirement value of the strip width meets the preset conditions.

[0035] For example, the preset condition may be a net weight requirement value greater than 0; or a net weight requirement value less than 0.

[0036] If the net weight requirement = the weight requirement of the required strip - the weight value of the corresponding brand and width in the pre-stored strip, then the preset condition is a net weight requirement less than 0, which means that the weight requirement of the required strip is less than the pre-stored amount.

[0037] If the net weight requirement value = the weight value of the corresponding brand and corresponding width in the pre-stored strip material - the required weight requirement of the required strip material; then the preset condition is a net weight requirement value greater than 0, which means that the required weight requirement of the required strip material is less than the pre-stored amount.

[0038] In the above embodiment, the longitudinal cutting method of the roll material is calculated according to the priority of the target width and the preset regular width. By setting the priority, the strip of the target width is preferentially cut longitudinally on the roll material, and then the remaining roll material can be longitudinally cut into strips of regular width to make better use of the roll material.

[0039] In one embodiment of the present invention, if target widths are identified under multiple brands, multiple sets are set corresponding to the above brands, and the target widths under each brand are formed in the corresponding sets respectively and the preset conventional widths are supplemented in the corresponding sets; the target widths and conventional widths in each set are set with priority. In this way, the target widths under each brand can be stored independently by setting sets, that is, each set represents the strip material requirements under this brand, and each set is calculated separately during the longitudinal shear calculation, which can prevent interference of the same widths under different brands.

[0040] In one embodiment, it is also possible to set priorities for the collections; thus, important brands can be processed first.

[0041] In one embodiment, priorities may also be set for transformers; in this way, important transformers may be processed preferentially, that is, the width requirement of each level in important transformers may be determined preferentially.

[0042] It should be noted that the width requirement can be understood as the requirement for the strip corresponding to the width, such as the requirement for the strip with a width of 90 mm.

[0043] Furthermore, if a brand includes multiple target widths, different priorities or the same priority can be set for each target width. For example, if the demand for a width of 90 mm and a width of 130 mm are the same under the same brand, the same priority can be set, such as a priority of 100 for both, and a priority of 50 for the regular width. If the demand for a width of 90 mm is greater than the demand for a width of 130 mm, different priorities can be set, such as a priority of 100 for the 90 mm strip, a priority of 70 for the 130 mm strip, and a priority of 50 for the regular width.

[0044] In one embodiment of the present invention, the longitudinal cutting strategy for longitudinally cutting each pre-stored coil material to form the required strip material is calculated specifically including: based on the priority width in each set, a dynamic programming algorithm is used to calculate and obtain multiple longitudinal cutting strategies for each pre-stored coil material, and then an integer programming algorithm is used to optimize the longitudinal cutting strategy and select the target strategy.

[0045] In this way, all longitudinal cutting strategies can be calculated exhaustively, which solves the problem of time-consuming and labor-intensive manual calculations and avoids the problem of high error rates in manual calculations.

[0046] In one embodiment of the present invention, 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 based on the constraints.

[0047] In this way, the constraints can be adopted to ensure that the coil material used does not exceed the inventory, and the weight of the cut strip material supply must meet the demand.

[0048] Furthermore, the constraint condition is: ; ; 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.

[0049] The target object can be a transformer, That is, it represents the total weight required by m transformers for strips with a width of g.

[0050] In one embodiment of the present invention, an objective function is preset in the integer programming algorithm, and obtaining a target strategy from a plurality of slitting strategies according to preset conditions includes: obtaining a slitting strategy that meets the objective function conditions from a plurality of slitting strategies as a target strategy. In this way, the total weight of inventory coils consumed can be minimized, excessive consumables can be avoided, and costs can be saved.

[0051] Furthermore, the objective function is: ; Where z represents the total weight of the coil used, and 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.

[0052] In one embodiment of the present invention, Figure 3 As shown, it 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: Step T1: obtaining the weight requirement of the sheet material required by the target object and summarizing the weight requirement, wherein the target object includes at least one weight requirement of the sheet material width and thickness; Step T2: 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; Step T3: combining the weight values ​​of the sheets according to the brand, width and thickness of the sheets to obtain the weight requirements classified according to different sheet thicknesses; Step T4: classify the corresponding strip material data according to the sheet thickness and match them one by one with the weight requirements; Step T5: Allocate the cross-cutting sequence of the strip material to form the side pieces, yoke pieces and middle pieces under each category to form a cross-cutting strategy.

[0053] In this way, through the transverse shearing strategy in the above-mentioned embodiment, it is possible to reduce material waste, the thickness of each level of the transformer core material on the side pieces, yoke pieces and middle pieces is consistent, and the transverse shearing takes less time.

[0054] It should be noted that the target object may be a transformer, and the transformer core has multiple levels, and each level needs to be formed by a sheet of a certain thickness, a certain width, and a certain weight. If there are multiple transformers, the priority of the transformer can be set, and the cross-cutting strategy of each transformer sheet can be calculated according to the priority.

[0055] In step T1, as shown in Table 1, it is a weight requirement table for each level of the transformer, and the weight requirements are summarized as follows: to obtain the weight requirements for each level of the transformer, first sort by brand, and then sort by width to obtain the weight requirements arranged in order.

[0056] Table 1 Weight requirements for each level of transformer

[0057] As shown in Table 2, it is a summary table of the first and fifth levels of the transformer. The weight requirements are summarized as follows: the weight requirements of transformers of different levels but the same brand and the same width are summarized together according to the width parameter. For example, if the width is 90mm and there are two weight requirements, the two weight requirements are summarized so that the two weight requirements can be calculated together later.

[0058] Table 2 Summary of transformer first and fifth stages

[0059] In step T2, the pre-stored strip material data is obtained from the inventory, including the brand information, width information and weight information of the strip material; then, corresponding to the weight requirement of the required sheet material in step T1, the strip material data of the same brand and width is obtained from the data obtained from the inventory; 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 is the same as the brand of the required sheet material.

[0060] 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, the weight requirements are combined according to the sheet thickness, that is, the weight requirements of the same sheet thickness are combined together. It should be noted that the weight requirements of the same level in the transformer are combined, and the weight requirements of the same sheet thickness at the same level are combined together.

[0061] For example, in the first level of the transformer, the weight requirements for brand 90, width 90mm, and sheet thickness 0.2 include 20kg and 40kg. Then the above two requirements are combined to form a weight requirement of 60kg for brand 90, width 90mm, and sheet thickness 0.2; in this way, the classification of different sheet thicknesses in the same level of the transformer is obtained.

[0062] Table 3 Requirements for different sheet thicknesses in the same level of transformer

[0063] In step T4, the strip material data obtained in the inventory is similarly combined by weight according to the sheet thickness, that is, the weight values ​​of the same sheet thickness are combined together; in this way, the weight classification of different sheet thicknesses is obtained, and then the weight of the strip material in the inventory is matched one by one with the weight requirement of the sheet material of the same thickness according to the sheet thickness classification.

[0064] In step T5, under each classification, it can be understood as, under each classification of sheet thickness; allocating strips can be understood as allocating the weight of the strips of corresponding sheet thickness in the inventory to the weight requirements of sheets of the same thickness. For example, the weight of the strip with a sheet thickness of 0.2 in the inventory is 60kg, and the weight requirement of the first level of the transformer core with a sheet thickness of 0.2 is 40kg, then 40kg of the 60kg of the strip is allocated to the first level of the core; if the weight of the strip with a sheet thickness of 0.2 in the inventory is 20kg+20kg, that is, there are two 20kg strips, then both strips are allocated to the first level of the core.

[0065] The order of transverse cutting of the strip to form side panels, yoke panels and middle panels can be understood as: calculating the weight requirements of each thick lower side panel, yoke panel and middle panel, and transversely cutting the strip according to the weight requirements of the side panels, yoke panels and middle panels to form sheets that meet the weight requirements of the side panels, yoke panels and middle panels.

[0066] In one embodiment, the assigned cross-cutting sequence may be that the yoke panels are cut together with the side panels.

[0067] In one embodiment, strips of the same specification may be set to be cut transversely at the same time and with the same strategy for the weight requirements of the side pieces, yoke pieces and middle pieces under the same sheet thickness.

[0068] In this way, the efficiency of transverse cutting can be improved by merging the weight requirements of the same sheet thickness at the same level; and the yoke and side panels can be cut together to increase the speed of forming the yoke and side panels; the same specification of strips can be transversely cut at the same time with the same strategy for the weight requirements of side panels, yoke panels and middle panels with the same sheet thickness, which can reduce material waste and improve the efficiency of transverse cutting.

[0069] In summary, the calculation method for planning and cutting of silicon steel sheets includes calculating the optimal longitudinal cutting strategy and transverse cutting strategy. Using the dynamic programming algorithm, exhaustively generate longitudinal cutting strategies for the target width (the width missing in the pre-stored strip), and then use the integer programming algorithm to query the optimal longitudinal cutting strategy-level target strategy based on the preset objective function and constraints; summarize the weight requirements of the sheet materials, and integrate and classify the strip material data in the inventory, and then assign the transverse cutting order to the strip materials in the inventory according to the weight requirements of the sheet materials to form the optimal transverse cutting strategy.

[0070] It should be understood that although this specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each implementation mode may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

[0071] The series of detailed descriptions listed above are only specific descriptions of feasible implementation methods of the present invention. They are not intended to limit the scope of protection of the present invention. Any equivalent implementation methods or changes that do not deviate from the technical spirit of the present invention should be included in the scope of protection 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; Prioritize the target width and a preset normal width; Based on the priority, a pre-stored slitting strategy for slitting each coil material to form a required strip material is calculated and a target strategy among multiple slitting strategies is obtained according to preset conditions.

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: 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; Prioritizes target width and regular width within each set.

5. The calculation method for planning and cutting of silicon steel sheets according to claim 4 is 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.

6. The calculation method for planning and cutting of silicon steel sheets according to claim 5, 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.

7. The calculation method for planning and cutting of silicon steel sheets according to claim 6 is 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.

8. The calculation method for planning and cutting of silicon steel sheets according to claim 5, characterized in that: Presetting an objective function in the integer programming algorithm, and obtaining a target strategy from a plurality of slitting strategies according to preset conditions includes: obtaining a slitting strategy that meets the objective function conditions from a plurality of slitting strategies as the target strategy.

9. The calculation method for planning and cutting of silicon steel sheets according to claim 8, characterized in that: The objective function is: ； Where z represents the total weight of the coil used, and 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.

10. The calculation method for planning and cutting of silicon steel sheets according to claim 1, 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 with the weight requirements one by one; 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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