Longitudinal shearing method, device and computer equipment for silicon steel sheet longitudinal shearing production line

Abstract

The present invention discloses a longitudinal cutting method, device and computer equipment for a silicon steel sheet longitudinal cutting production line, including the following steps: step one, input various parameters; step two, generate all width combinations by fully arranging the width list based on the tolerance, generate corresponding width combinations for each silicon steel coil based on all width combinations, calculate the Cartesian product of the width combinations of all silicon steel coils, obtain all cutting schemes, select an adaptive optimization algorithm to evaluate all cutting schemes, and generate several preferred cutting schemes. In the present invention, the time of manual calculation is reduced and production efficiency is improved by automatically calculating the width combination and the cutting scheme. By accurately calculating the cutting scheme, the raw materials are utilized to the maximum extent, the waste of materials is reduced, and the utilization rate of silicon steel sheets is improved. It can adapt to the needs of different types of iron cores and silicon steel straight strips, provide flexible and diverse cutting schemes, and meet the diverse product needs.

Description

Technical Field

[0001] The invention relates to the technical field of slitting processing of transformer core silicon steel sheets, and in particular to a slitting method, a device and a computer device for a silicon steel sheet slitting production line. Background Art

[0002] In the field of transformer manufacturing, silicon steel sheets are the key raw materials for manufacturing iron cores. The longitudinal shearing production line of silicon steel sheets is an important process for cutting wide silicon steel coils into narrow strips according to specific sizes for subsequent iron core manufacturing. At present, there are "A longitudinal shearing system and longitudinal shearing method for silicon steel sheets for transformer iron cores" with application number 202211371606.7, "A method and system for high-precision longitudinal shearing production line of silicon steel sheets for transformer iron cores" with application number 202210054516.9, and "A device for longitudinal shearing of silicon steel sheets in transformer manufacturing process" with application number 202410560738.7. These existing technologies are all committed to improving product production quality and production efficiency.

[0003] Although these technologies have made certain progress in improving product quality, the applicant found that the following technical problems still exist during the actual R&D and production process:

[0004] (1) Inefficiency: The current cutting plan mainly relies on manual experience, which leads to a long time spent on calculating and adjusting the cutter head spacing, thus affecting the speed and accuracy of the longitudinal shearing process;

[0005] (2) Waste of resources: Due to the lack of accurate cutting plan, raw materials may be wasted, thereby reducing the utilization rate of silicon steel sheets;

[0006] (3) Poor adaptability: When faced with demands for different types of iron cores and silicon steel straight strips, the manually formulated material arrangement plans are not flexible enough to meet the diverse product demands.

[0007] In summary, although the existing technology has improved product quality to a certain extent, there are still technical challenges such as inefficiency, waste of resources and poor adaptability. Summary of the invention

[0008] In order to solve the technical problems mentioned in the above background technology, a longitudinal cutting method, device and computer equipment for a silicon steel sheet longitudinal cutting production line are proposed. By introducing algorithm planning and software and hardware matching, the problems existing in the existing silicon steel sheet longitudinal cutting production line are solved, the production efficiency and the utilization rate of silicon steel sheets are improved, and the adaptability of the production line to diversified product demands is enhanced.

[0009] In order to achieve the above object, the present invention adopts the following technical solutions:

[0010] The slitting method, device and computer equipment of the silicon steel sheet slitting production line include the following steps:

[0011] Step 1: input various parameters, wherein the parameter data include but are not limited to width list, tolerance, threshold, number of preferred cutting solutions reserved and silicon steel coil information, wherein the width list, tolerance, threshold, number of preferred cutting solutions reserved are manually set;

[0012] Step 2: Generate all width combinations by fully arranging the width list based on the tolerance, generate corresponding width combinations for each silicon steel coil based on all width combinations, calculate the Cartesian product of the width combinations of all silicon steel coils, obtain all cutting schemes, select an appropriate optimization algorithm to evaluate all cutting schemes, and generate several preferred cutting schemes. The selection of the optimization algorithm is subject to the constraints of the number of cutting schemes and the conditions for using the algorithm;

[0013] Step three, display the preferred cutting plan, and perform longitudinal cutting according to the final selected cutting plan. The displayed cutting plan information includes but is not limited to the longitudinal cutting width distribution plan and the number of sets.

[0014] As a further description of the above technical solution:

[0015] The selection of the optimization algorithm is subject to the constraints of the number of cutting schemes and the conditions for using the algorithm. The number of generated preferred cutting schemes, i.e., the preset number of preferred cutting schemes to be retained, includes:

[0016] If the number of cutting schemes is greater than the threshold and meets the greedy algorithm conditions, the standard deviation of all schemes is calculated by the greedy algorithm, and the top_n schemes with the smallest standard deviation are selected as the preferred cutting schemes;

[0017] If the number of cutting solutions is greater than the threshold and meets the local optimal search conditions, the top_n solutions are selected from multiple local optimal solutions as the preferred cutting solutions;

[0018] If the number of cutting schemes is less than the threshold, all schemes are sorted according to the number of sets, and the top_n schemes are selected as the preferred cutting schemes;

[0019] top_n is the preset number of preferred cutting solutions to be retained.

[0020] As a further description of the above technical solution:

[0021] The method of calculating the standard deviation of all solutions by a greedy algorithm and selecting the top_n solutions with the smallest standard deviation as the preferred cutting solution includes the following steps:

[0022] A1, select an initial solution from all solutions and calculate the standard deviation t0 of the initial solution;

[0023] A2, for each remaining solution n, calculate the standard deviation t of solution n n , if t n Smaller than the largest standard deviation among the previous n-1 standard deviations t max , then remove the maximum standard deviation t max The corresponding solutions are selected until the number of solutions left reaches top_n.

[0024] As a further description of the above technical solution:

[0025] The method of selecting top_n solutions from multiple local optimal solutions as the preferred cutting solution includes the following steps:

[0026] B1, define variables: wj-width of the whole silicon steel coil, lj-length of the whole silicon steel coil, w i -The width of the narrow silicon steel coil that can be assembled, l i - the length of the narrow silicon steel coil that can be set, S- the set of narrow silicon steel coils that can be set, Y- the total number of complete silicon steel coils;

[0027] B2, calculation goal: maximize the number of sets cut from the silicon steel coil, that is, maximize , ;

[0028] B3, Quantitative constraint: All the narrow silicon steel coils that can be assembled come from the whole silicon steel coil, then ;

[0029] B4, determine the objective function: ;

[0030] The objective function is a binary function of the cutting method of each whole silicon steel coil and the total number of silicon steel coils. All possibilities are exhausted and the minimum value of Diff(i,j) is calculated, and the top_n combinations of (i,j) close to 0 are found as the preferred cutting scheme.

[0031] As a further description of the above technical solution:

[0032] The method of sorting all the schemes according to the number of sets and selecting the top_n schemes as the preferred cutting schemes includes the following steps:

[0033] C1, for each cutting plan, calculate the number of cores that can be formed, where the upper limit of the number of cores is the number of sets;

[0034] C2, sort all cutting plans according to the number of sets;

[0035] C3, select the top_n solutions with the largest number of sets as the preferred cutting solutions.

[0036] As a further description of the above technical solution:

[0037] The final cutting plan is subject to production requirements, including:

[0038] Production requirements include but are not limited to material waste rate requirements, output efficiency requirements and cost requirements.

[0039] As a further description of the above technical solution:

[0040] The slitting device of the silicon steel sheet slitting production line performs slitting according to the final selected slitting plan, including:

[0041] A power control box that controls the extension and retraction of the electric push rod based on the measurement data of the ultrasonic sensor;

[0042] The power control box includes an industrial computer, a single-chip microcomputer, and a motor driver, wherein the industrial computer and the single-chip microcomputer are communicatively connected via a USB to serial port adapter, the PWM output pin of the single-chip microcomputer is connected to the speed control input terminal of the corresponding motor driver, the GPIO pin of the single-chip microcomputer is connected to the direction control input terminal of the motor driver, the digital output pin and the digital input pin of the single-chip microcomputer are respectively connected to the trigger pin and the echo pin of the corresponding ultrasonic sensor, and the motor of the electric push rod is connected to the motor interface of the motor driver.

[0043] As a further description of the above technical solution:

[0044] The two groups of symmetrically arranged hollow roller shafts, one end of the hollow roller shaft is fixedly connected to a transmission shaft, a wire hole is provided on the transmission shaft, a groove is provided on the other end of the hollow roller shaft, an end plate is fixedly connected in the groove by a plurality of bolts, a support shaft is fixedly connected to the end plate, a first slide groove and second slide grooves on both sides of the first slide groove are symmetrically provided on the hollow roller shaft, and a positioning block matching the first slide groove is fixedly connected on the end plate;

[0045] A fixed frame, multiple groups of cutter discs, a movable frame and a rotating plate, wherein the fixed frame is fixedly connected to one end of the first slide groove close to the transmission shaft, the upper and lower surfaces of the fixed frame are flush with the outer surface of the hollow roller shaft, the movable frame and the fixed frame have the same shape, the movable frame and the fixed frame are both rotatably connected to the rotating plate in the middle through bearings, each group of movable frames is slidably matched with the first slide groove, rollers that are in rolling contact with the second slide groove are installed on both sides of the movable frame, the cutter disc is sleeved on the hollow roller shaft, and an installation groove is opened on one end surface of the cutter disc, and the installation groove has bolts for fixing and connecting the fixed frame, the movable frame and the cutter disc;

[0046] The ultrasonic sensor and the electric push rod are fixedly mounted on the rotating plate. The push rod end of the electric push rod is fixedly connected to the adjacent rotating plate through a connecting plate and a bolt. The ultrasonic sensor is used to measure the distance between adjacent cutter discs in real time.

[0047] A power control box, a frame and a base, wherein the power control box and the frame are fixed on both sides of the top of the base, the hollow roller shaft is connected to the power control box through a transmission shaft, and is rotationally connected to the frame through a support shaft. The power control box is used to drive the hollow roller shaft to rotate, and to control the extension and retraction of the electric push rod based on the measurement data of the ultrasonic sensor.

[0048] As a further description of the above technical solution:

[0049] The middle parts of the top and bottom sides of the fixed frame and the movable frame are both provided with limiting grooves, and the cutter disc is fixedly connected with limiting blocks matched with the limiting grooves.

[0050] As a further description of the above technical solution:

[0051] The cutter disc is fixedly connected with guide blocks located on both sides of the limiting block and slidingly matched with the first sliding groove.

[0052] As a further description of the above technical solution:

[0053] A computer device includes a memory and a processor, wherein the memory stores computer instructions that can be executed on the processor, and is characterized in that the processor runs the computer instructions to execute the steps of the cutting method described above.

[0054] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0055] 1. In the present invention, all width combinations are generated by fully arranging the width list based on the tolerance, corresponding width combinations are generated for each silicon steel coil based on all width combinations, the Cartesian product of the width combinations of all silicon steel coils is calculated, all cutting schemes are obtained, an adaptive optimization algorithm is selected to evaluate all cutting schemes, multiple preferred cutting schemes are generated, and the final cutting scheme is selected from multiple preferred cutting schemes. By automatically calculating the width combination and cutting scheme, the time for manual calculation is reduced, production efficiency is improved, and by accurately calculating the cutting scheme, raw materials are used to the maximum extent, material waste is reduced, and the utilization rate of silicon steel sheets is improved. It can adapt to the needs of different types of iron cores and silicon steel straight strips, provide flexible and diverse cutting schemes, and meet diverse product needs.

[0056] 2. In the present invention, the power control box drives the electric push rod to push the rear cutter disc to move until the distance between adjacent cutter discs measured by the ultrasonic sensor on the front cutter disc is equal to the longitudinal shear width data in the final cutting plan, effectively realizing the automatic precision cutting knife alignment operation, while ensuring the safety and efficiency of the production process. By real-time monitoring of the cutter disc spacing, the accuracy of the cutting size is ensured, the product quality is improved, the entire process is completed automatically, the need for human intervention is reduced, and the production efficiency is improved. The action of the electric push rod can be adjusted according to different cutting plans to adapt to diverse production needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 A first schematic diagram of the longitudinal shearing method according to an embodiment of the present invention is shown;

[0058] Figure 2 A second schematic flow chart of the longitudinal shearing method provided according to an embodiment of the present invention is shown;

[0059] Figure 3 It shows a logic control schematic diagram of the slitting device provided in an embodiment of the present invention;

[0060] Figure 4 A schematic flow chart showing the knife arrangement principle of the longitudinal shearing device provided in accordance with an embodiment of the present invention is shown;

[0061] Figure 5 It shows a schematic structural diagram of a longitudinal shearing device provided according to an embodiment of the present invention;

[0062] Figure 6 A schematic diagram of the internal structure of a hollow roller shaft provided according to an embodiment of the present invention is shown;

[0063] Figure 7 A schematic diagram of the connection structure between the movable frame and the cutter disc provided in an embodiment of the present invention is shown;

[0064] Figure 8 A schematic diagram of the structure of a cutter disc provided according to an embodiment of the present invention is shown;

[0065] Fig. 9 It shows a schematic structural diagram of a movable frame provided according to an embodiment of the present invention;

[0066] Fig.10 It shows a schematic structural diagram of a hollow roller provided according to an embodiment of the present invention;

[0067] Fig.11 A schematic structural diagram of an end plate provided according to an embodiment of the present invention is shown.

[0068] Legend:

[0069] 1. Hollow roller; 101. First slide groove; 102. Second slide groove; 103. Groove; 2. Fixed frame; 3. Cutter disc; 301. Mounting groove; 4. Transmission shaft; 401. Wire hole; 5. Roller; 6. Ultrasonic sensor; 7. Electric push rod; 8. Movable frame; 801. Limiting groove; 9. Power control box; 10. Frame; 11. Base; 12. End plate; 13. Positioning block; 14. Support shaft; 15. Connecting plate; 16. Guide block; 17. Limiting block; 18. Rotating plate. DETAILED DESCRIPTION

[0070] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Embodiment 1

[0071] See also Figure 1 The present invention provides a technical solution: a longitudinal shearing method for a silicon steel sheet longitudinal shearing production line, comprising the following steps:

[0072] Step 1: Input various parameter data, including but not limited to width list, tolerance, threshold, preferred cutting solution reservation number top_n and silicon steel coil information, wherein the width list, tolerance, threshold, preferred cutting solution reservation number top_n are manually set;

[0073] Furthermore, the width list is a list containing silicon steel sheets of different widths required for the iron core. For example, an 8-level iron core requires 7 straight sheets of different widths. The set of these widths constitutes the width list; the tolerance is used to control the allowable deviation of the shear width; the threshold is used to determine whether to use a more complex optimization algorithm; the silicon steel coil information includes the coil number, length, width, etc., which is used for subsequent calculation of the cutting plan.

[0074] Step 2: Based on the tolerance t, the width list is fully arranged to generate all width combinations Permut, and the corresponding width combination Pi is generated for each silicon steel coil based on all width combinations. The Cartesian product of the width combinations of all silicon steel coils is calculated to obtain the possible cutting schemes of Product (P1, P2, ..., Pi), and an appropriate optimization algorithm is selected to evaluate the possible cutting schemes of Product (P1, P2, ..., Pi) to generate multiple preferred cutting schemes. Among them, the selection of the optimization algorithm is subject to the comparison result of the possible cutting scheme Product (P1, P2, ..., Pi) with the threshold, as well as the constraints of the algorithm usage conditions. The number of generated preferred cutting schemes is the preset number of preferred cutting schemes to be retained;

[0075] Step three, display the preferred cutting plan, and perform longitudinal cutting according to the final selected cutting plan. The displayed optimal cutting plan information includes but is not limited to the longitudinal cutting width distribution plan and the number of sets.

[0076] Based on the above longitudinal cutting method, the cutting plan for the following example is generated.

[0077] Solution goal: Cut a silicon steel coil with a width of about 1m, a thickness of 0.18-0.23mm, and a weight of about 2-5 tons into several narrow silicon steel coils with a width of 50-300mm along its winding direction.

[0078] Constraints: 7 narrow silicon steel coils with specific widths and lengths form a set. For example, 102mm wide and 56mm long, 177mm wide and 193mm long, 202mm wide and 321mm long, 177mm wide and 287mm long, 234mm wide and 321mm long, 187mm wide and 182mm long, and 80mm wide and 204mm long form a set. A silicon steel coil with a width of 1090mm and a length of 1809mm can be cut into a combination of 5 narrow silicon steel coils with a width of 202mm and a length of 1090mm and 1 narrow silicon steel coil with a width of 80mm and a length of 1090mm (it can also be cut into other width combinations). It is difficult to directly cut a whole silicon steel coil into a set of narrow silicon steel coils that meet the requirements (if the total width meets the requirements, the length cannot meet the requirements of a set). Therefore, the optimal cutting solution is to cut multiple whole silicon steel coils of different widths and lengths into a pile of narrow silicon steel coils with different widths and lengths, so that these narrow silicon steel coils can be set as many as possible.

[0079] The above example is a constrained permutation and combination problem, that is, a maximization problem of a quantifiable goal. If multiple solutions are required, it can be transformed into a ranking problem of a certain indicator.

[0080] The objectives of this example can be achieved in the following steps:

[0081] (1) If the number of cutting schemes is greater than the threshold and meets the greedy algorithm conditions, the standard deviation s of all schemes is calculated using the greedy algorithm. td , select standard deviation s td The smallest top_n solutions are used as the preferred cutting solutions. Standard deviation is a statistical measure used to measure the degree of data dispersion. The smaller the standard deviation, the more evenly the straight pieces of each width are distributed. Specifically, the following steps are included:

[0082] A1, select an initial solution from all solutions and calculate the standard deviation t0 of the initial solution;

[0083] A2, for each remaining solution n, calculate the standard deviation t of solution n n , if t nSmaller than the largest standard deviation among the previous n-1 standard deviations t max , then remove the maximum standard deviation t max The corresponding solutions are selected until the number of solutions left reaches top_n.

[0084] (2) If the number of cutting solutions is greater than the threshold and meets the local optimal search conditions, the top_n solutions are selected from multiple local optimal solutions as the preferred cutting solutions. Specifically, the following steps are included:

[0085] B1, define variables: wj-width of the whole silicon steel coil, lj-length of the whole silicon steel coil, w i -The width of the narrow silicon steel coil that can be assembled, l i - the length of the narrow silicon steel coil that can be set, S- the set of narrow silicon steel coils that can be set, Y- the total number of complete silicon steel coils;

[0086] B2, calculation goal: maximize the number of sets cut from the silicon steel coil, that is, maximize , ;

[0087] B3, Quantitative constraint: All the narrow silicon steel coils that can be assembled come from the whole silicon steel coil, then ;

[0088] Among them, any whole silicon steel coil will be cut into independent narrow silicon steel strips during the cutting process, and a certain i represents a certain silicon steel strip in this roll of silicon steel; and when arranging a cutting plan, multiple whole silicon steel coils will be prepared at the same time, so any whole silicon steel coil is represented by the subscript j, for example, there are 3 whole silicon steel coils, so j can be 1, 2, 3 and the first whole silicon steel coil is arranged to be cut into 5 strips, so a certain silicon steel strip of this whole silicon steel coil can be 1, 2, 3, 4, 5, so wj represents the total width of a whole silicon steel coil, lj represents its total length, and wi is the width of any silicon steel strip cut into several silicon steel strips under a certain wj;

[0089] B4, determine the objective function: ;

[0090] The objective function is a binary function of the cutting method of each whole silicon steel coil and the total number of silicon steel coils. All possibilities are exhausted and the minimum value of Diff(i,j) is calculated. The top_n combinations of (i,j) close to 0 are found as the preferred cutting scheme. This method helps to find a better solution among a large number of possible solutions while maintaining computational efficiency.

[0091] (3) If the number of cutting schemes is less than the threshold, all schemes are sorted according to the number of sets, and the top_n schemes are selected as the preferred cutting schemes. Specifically, the following steps are included:

[0092] C1, for each cutting plan, calculate the number of cores that can be formed, where the upper limit of the number of cores is the number of sets;

[0093] C2, sort all cutting plans according to the number of sets;

[0094] C3, select the top_n solutions with the largest number of sets as the preferred cutting solutions.

[0095] (4) It is also necessary to determine the optimal cutting scheme from multiple preferred cutting schemes. The optimal cutting scheme is subject to production demand constraints, which include but are not limited to factors such as material waste rate demand, output efficiency demand and cost demand. These factors jointly determine whether a cutting scheme is truly "optimal". Among them, the material waste rate demand target is to minimize material waste, the output efficiency demand target is to minimize output efficiency, and the cost demand target is to reduce costs, including raw material costs, labor costs, energy consumption, etc. Specifically, it is achieved through the following steps:

[0096] D1, clarify production requirements, including specific targets for indicators such as material waste rate, output efficiency and cost. For example, set the material waste rate to no more than x%, the output efficiency to at least y%, and the cost to be controlled within z yuan;

[0097] D2, generate cutting plans, use the cutting system to generate the top_n optimal cutting plans, which cover different cutting methods, material utilization, etc.;

[0098] D3, evaluate each cutting plan based on indicators such as material waste rate, output efficiency and cost. Mathematical formulas or models can be used to quantify these indicators for comparison. The following are some specific quantification methods:

[0099] (1) Material waste rate = (total waste / total raw materials) × 100%, where total waste refers to the weight or volume of scraps or unusable materials left after processing, and total raw materials refers to the total weight or volume of materials before processing;

[0100] (2) Output efficiency = (actual output / maximum capacity) × 100%, where actual output refers to the number of products actually produced, and maximum capacity refers to the maximum number of products that the silicon steel sheet slitting production line equipment can theoretically produce per unit time;

[0101] (3) Total cost = raw material cost + labor cost + energy cost + other costs, where raw material cost refers to the cost of purchasing raw materials; labor cost refers to the wages and other benefits paid to workers; energy cost refers to the cost of electricity or other energy consumed during the processing; other costs refer to other costs other than the above costs, such as maintenance fees, depreciation fees, etc.

[0102] D4, select the best solution that meets the production demand constraints from the evaluated solutions. Multi-objective optimization techniques, such as the Pareto optimal method, can be used. Assume that we have n cutting solutions, and each solution i consists of three indicators: f1(i) represents the material waste rate, f2(i) represents the output efficiency, and f3(i) represents the cost. The following are the specific steps for selecting the best solution using the Pareto optimal method:

[0103] D41, calculation index: for each cutting scheme i, calculate f1(i), f2(i), f3(i);

[0104] D42, define the Pareto dominance relationship: Plan i Pareto dominates plan j if f k (i)≤f k (j) For all k, and f l (i) <f l (j) at least for some l;

[0105] D43, screening Pareto optimal solution: traverse all solutions, for each solution i, check whether there is another solution j that Pareto dominates i, if not, then solution i is Pareto optimal;

[0106] D44, select the optimal solution: After obtaining the Pareto optimal solution, you need to select the final optimal solution based on the actual situation. For example, if cost is the most important consideration, you can choose the Pareto optimal solution with the lowest cost; if output efficiency is more important, you can choose the solution with the highest output efficiency, and so on.

[0107] D5, adjusting the longitudinal shear width opening device according to the selected optimal solution, such as adjusting the spacing between the various cutter discs 3 to the width required by the optimal solution through the electric push rod 7.

[0108] Through the above technical solution, the problems of low efficiency, waste of resources and poor adaptability in the existing material cutting plan can be effectively solved, and more efficient and accurate production management can be achieved. Specifically, the present invention has the following advantages over the prior art:

[0109] (1) Improve efficiency: Automated calculation of width combinations and cutting plans can significantly reduce manual calculation time and improve production efficiency;

[0110] (2) Reduce waste: By accurately calculating the cutting plan, maximize the use of raw materials, reduce material waste, and improve the utilization rate of silicon steel sheets;

[0111] (3) Enhanced flexibility: It can quickly adapt to the needs of different types of iron cores and silicon steel straight strips, provide flexible and diverse cutting solutions, and meet diverse product needs;

[0112] (4) Improve precision: Use optimization algorithms to evaluate cutting plans, ensure the rationality and feasibility of the plans, and improve the precision of the production process;

[0113] (5) Easy integration: The solution can be easily integrated with the existing production management system, making it easy to implement and manage.

[0114] The embodiment of the present invention further discloses a computer device, wherein the computer may include a memory and a processor, wherein the memory stores computer instructions that can be run on the processor. When the processor runs the computer instructions, the above method steps may be executed. Embodiment 2

[0115] See also Figure 2-11 The present invention provides a technical solution: a slitting device for a silicon steel sheet slitting production line controls a power control box 9 for extending and retracting an electric push rod 7 based on measurement data of an ultrasonic sensor 6, so as to automatically arrange the cutters according to the slitting width determined in the optimal slitting solution in Example 1, thereby completing slitting.

[0116] like Figure 3 and Figure 4 As shown, the power control box 9 includes an industrial computer (equipped with a display, keyboard, mouse, Linux system installed, and Python language installed), a single-chip microcomputer, and a motor driver, wherein the industrial computer and the single-chip microcomputer are connected to each other through a USB to serial port adapter, the PWM output pin of the single-chip microcomputer is connected to the speed control input terminal of the corresponding motor driver, the GPIO pin of the single-chip microcomputer is connected to the direction control input terminal of the motor driver, the digital output pin and the digital input pin of the single-chip microcomputer are respectively connected to the trigger pin and the echo pin of the corresponding ultrasonic sensor 6, and the motor of the electric push rod 7 is connected to the motor interface of the motor driver;

[0117] The power control box 9 runs, driving the electric push rod 7 to push the rear cutter disc 3 to move. When the ultrasonic sensor 6 on the front cutter disc 3 measures that the spacing between adjacent cutter discs 3 is equal to the longitudinal cutting width data in the optimal cutting plan, the driving of the electric push rod 7 is stopped. The speed of the electric push rod 7 is controlled by setting the duty cycle of the PWM signal, and the direction of the electric push rod 7 is controlled by setting the GPIO state.

[0118] Specifically, the industrial computer uses the built-in GUI library TkintDr in Python. The interface displays the parameter input box and control buttons, and displays the optimal cutting plan information in the form of a table to facilitate operator confirmation.

[0119] Communication between industrial computer and MCU: Write a program to control the electric push rod 7, including initializing the I / O port of the MCU, writing the logic to control the electric push rod 7 (such as forward, backward, stop, etc.), and communicating with the MCU through dDvtty USB or dDvtty ACM device files. You can use the pysDrial library of python to implement serial communication;

[0120] Adaptation of single-chip microcomputer and electric linear actuator 7: The single-chip microcomputer adopts STM32 and is connected to the computer using a USB serial port adapter. It should be noted that the pin port of the selected single-chip microcomputer model can be adapted to the number of electric linear actuator 7.

[0121] Furthermore, the slitting device comprises:

[0122] like Figure 4 Two groups of symmetrically arranged hollow rollers 1 are shown, one end of the hollow roller 1 is fixedly connected to a transmission shaft 4, a wire hole 401 is provided on the transmission shaft 4, a groove 103 is provided at the other end of the hollow roller 1, an end plate 12 is fixedly connected to the groove 103 by a plurality of bolts, a support shaft 14 is fixedly connected to the end plate 12, a first slide groove 101 and second slide grooves 102 on both sides of the first slide groove 101 are symmetrically provided on the hollow roller 1, and a positioning block 13 matching the first slide groove 101 is fixedly connected to the end plate 12;

[0123] like Figure 5-Figure 10 The fixed frame 2, multiple sets of cutter discs 3, movable frames 8 and rotating plates 18 shown in the figure, the fixed frame 2 is fixedly connected to one end of the first slide groove 101 close to the transmission shaft 4, the upper and lower surfaces of the fixed frame 2 are flush with the outer surface of the hollow roller shaft 1, the movable frame 8 has the same shape as the fixed frame 2, each set of movable frames 8 is slidably matched with the first slide groove 101, rollers 5 that are in rolling contact with the second slide groove 102 are installed on both sides of the movable frame 8, and the middle of the fixed frame 2 and the movable frame 8 are rotatably connected to the rotating plate 1 through bearings 8, the cutter disc 3 is sleeved on the hollow roller shaft 1, and a mounting groove 301 is provided on one end surface of the cutter disc 3, and the mounting groove 301 has a bolt for fixing and connecting the fixed frame 2, the movable frame 8 and the cutter disc 3, and the middle parts of the top and bottom sides of the fixed frame 2 and the movable frame 8 are provided with a limiting groove 801, and the cutter disc 3 is fixedly connected with a limiting block 17 adapted to the limiting groove 801, and the cutter disc 3 is fixedly connected with guide blocks 16 located on both sides of the limiting block 17 and slidingly matched with the first slide groove 101;

[0124] like Figure 6The ultrasonic sensor 6 and the electric push rod 7 shown in the figure are both provided with a first screw hole on the rotating plate 18 for fixing the ultrasonic sensor 6 and the electric push rod 7 with bolts, and the push rod end of the electric push rod 7 is fixedly connected with the reserved second screw hole on the adjacent rotating plate 18 through the connecting plate 15 and the bolt, and the distance between the adjacent cutter discs 3 is measured in real time by the ultrasonic sensor 6;

[0125] like Figure 1 The power control box 9, frame 10 and base 11 shown in the figure are fixed on both sides of the top of the base 11. The hollow roller 1 is connected to the power control box 9 through the transmission shaft 4 and is rotatably connected to the frame 10 through the support shaft 14. The power control box 9 is used to drive the hollow roller 1 to rotate, and to control the extension and retraction of the electric push rod 7 based on the measurement data of the ultrasonic sensor 6.

[0126] Specifically, when the device is used for the first time, first, starting from the left fixed frame 2, first fix the left first electric push rod to the fixed frame 2 by bolts, then first sleeve the left first cutter disc on the hollow roller shaft 1 through the guide block 16 and the first slide groove 101, until the limit block 17 cooperates with the limit groove 801 and stops, and then fix the cutter disc 3 and the fixed frame 2 through the installation groove 301 and bolts. Secondly, first sleeve the left second movable frame into the hollow roller shaft 1 through the first slide groove 101 and the second slide groove 102, and then connect the left connecting plate 15 and the rotating plate 18 on the movable frame 8 by bolts, and then fix the cutter disc 3 on the movable frame 8, and repeat this operation until all the required movable frames 8 and cutter discs 3 are installed on the hollow roller shaft 1 in sequence, and then, the end plate 12 is encapsulated at the right end of the hollow roller shaft 1 by bolts. Finally, the whole shaft is installed on the power control box 9 and the frame 10. The left transmission shaft 4 is connected to the output shaft of the power control box 9. The right support shaft 14 and the frame 10 are rotatably matched through bearings. The position of the frame 10 on the base 11 is adjustable to facilitate the installation of the whole shaft. A wire hole 401 is provided on the left transmission shaft 4 to facilitate the wiring connection of components such as the ultrasonic sensor 6 and the electric push rod 7 with the electrical components in the power control box 10.

[0127] It should be noted that the present embodiment provides one possible way of matching components such as the fixed frame 2, the movable frame 8, the cutter disc 3, the ultrasonic sensor 6, the electric push rod 7, etc. In addition, the hollow roller shaft 1 can also be set in a split structure, with the structures of end plates and connecting shafts at both ends, and a wire hole is provided in the connecting shaft at one end for wiring. In the specific installation, on one half of the hollow roller shaft 1, the fixed frame 2, the rotating plate 18 and the electric push rod 7 on the adjacent side are first connected, and then the other half of the hollow roller shaft 1 is closed and connected to the end plates 12 at both ends, and then the cutter discs 3 are sleeved on the corresponding fixed frame 2 or movable frame 8 one by one for connection.

[0128] Furthermore, in order to control the cutting device through the cutting method, in terms of software and hardware coordination, this second embodiment provides the following instructions for configuration.

[0129] (1) Hardware selection: For example, the microcontroller uses STM32, and the motor driver (such as L298N) is compatible with the electric linear actuator 7. The electric linear actuator 7 requires a 24V power supply, so a relay is also required to safely control the high-voltage device.

[0130] (2) Connect the microcontroller to the motor driver: Use PWM signals to control the speed and direction of the motor. Connect the PWM output pin of the microcontroller to the speed control input of the motor driver, and connect another GPIO pin to the direction control input of the driver.

[0131] Serial Communication: Most microcontrollers support serial communication (UART). Use a USB to serial adapter to connect the microcontroller to the USB port of the computer.

[0132] Programming and communication: Install the corresponding driver and communication software (such as Arduino IDD, PuTTY, etc.) on the industrial computer and communicate with the microcontroller through the serial port.

[0133] (3) Write a control program for the electric push rod 7 on the microcontroller: Write a program on the microcontroller to generate a PWM signal and control the forward and reverse rotation of the motor through GPIO. Set the duty cycle of the PWM signal to control the speed, and set the GPIO state to control the direction.

[0134] MCU code: Write code to control the electric push rod 7, such as setting the duty cycle of the PWM signal to control the push rod speed and direction.

[0135] IPC code: Write an IPC program to send control commands to the MCU. For example, use Python's pysDriver library to communicate with the MCU.

[0136] (4) Connecting the industrial computer and the MCU: Use a USB to TTL cable or other serial communication methods to connect the computer and the MCU to upload and debug the program.

[0137] Upload code to the microcontroller: upload the written code to the microcontroller.

[0138] Test communication: Send instructions through the computer to check whether the microcontroller can correctly control the electric push rod 7.

[0139] Adjust parameters: Adjust the control parameters of the electric actuator, such as speed, acceleration, etc., according to the test results.

[0140] (5) Testing and debugging: After connecting all the hardware and uploading the program, test to ensure that the electric push rod 7 can correctly respond to the instructions of the microcontroller to perform telescopic control.

[0141] Specifically, Figure 3 and Figure 4 As shown, the process of adjusting the distance between the cutter discs 3 is implemented according to the following steps:

[0142] S1, initialization configuration: before the control module runs, initialize all I / O ports of the microcontroller, set the PWM frequency and duty cycle to control the motor speed of the electric push rod 7, set the trigger and receiving pins of the ultrasonic sensor, and ensure that all hardware connections are correct and the software configuration is correct;

[0143] S2, read the optimal cutting plan: read the slitting width data in the optimal cutting plan from the storage, and the operator confirms the information on the industrial computer display interface;

[0144] S3, start the electric push rod 7: after the industrial computer confirms, the motor driver starts to drive the electric push rod 7, and the electric push rod 7 starts to push the cutter head 3 to move;

[0145] S4, reading the spacing data: the ultrasonic sensor 6 continuously measures the spacing between adjacent cutter discs 3, and the sensor reading module transmits the data to the single chip microcomputer;

[0146] S5, compare spacing data: the single chip microcomputer compares the spacing data read by the sensor reading module with the longitudinal cutting width data in the optimal cutting solution;

[0147] S6, controls the electric push rod 7: if the measured spacing is smaller than the longitudinal cutting width data in the optimal cutting plan, continues to drive the electric push rod 7; if the measured spacing is equal to the longitudinal cutting width data in the optimal cutting plan, the main control program sends a stop signal to the power control box 9; after receiving the stop signal, the power control box 9 stops the movement of the electric push rod 7 through the motor driver.

[0148] Through the above implementation process, the solution can effectively realize the automatic precision cutting tool setting operation, while ensuring the safety and efficiency of the production process. Specifically, the present invention has the following advantages over the prior art:

[0149] (1) High precision: By real-time monitoring of the distance between the cutter discs, the accuracy of the cutting size is ensured and the product quality is improved;

[0150] (2) High degree of automation: The entire process is completed automatically, reducing the need for human intervention and improving production efficiency;

[0151] (3) Enhanced safety: Continuous safety monitoring mechanisms can effectively prevent equipment failures and safety accidents, and ensure the personal safety of operators;

[0152] (4) Good flexibility: The action of the electric push rod can be adjusted according to different cutting plans to meet diverse production needs;

[0153] (5) Easy maintenance: Modular design makes maintenance and upgrades easier and faster, reducing maintenance costs.

[0154] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. The longitudinal shearing method of the silicon steel sheet longitudinal shearing production line is characterized in that: The following steps are involved: Step 1: Input various parameters; Step 2: Generate all width combinations by fully arranging the width list based on the tolerance, generate corresponding width combinations for each silicon steel coil based on all width combinations, calculate the Cartesian product of the width combinations of all silicon steel coils, obtain all cutting schemes, select an appropriate optimization algorithm to evaluate all cutting schemes, and generate several preferred cutting schemes. The selection of the optimization algorithm is subject to the constraints of the number of cutting schemes and the conditions for using the algorithm; Step 3: Display the preferred cutting plan and perform longitudinal cutting according to the final selected cutting plan; The selection of the optimization algorithm is subject to the number of cutting schemes and the conditions for using the algorithm, including: If the number of cutting schemes is greater than the threshold and meets the greedy algorithm conditions, the standard deviation of all schemes is calculated by the greedy algorithm, and the top_n schemes with the smallest standard deviation are selected as the preferred cutting schemes; If the number of cutting solutions is greater than the threshold and meets the local optimal search conditions, the top_n solutions are selected from multiple local optimal solutions as the preferred cutting solutions; If the number of cutting schemes is less than the threshold and meets the sorting condition of the number of sets, all schemes are sorted according to the number of sets, and the top_n schemes are selected as the preferred cutting schemes; top_n is the number of preset preferred cutting solutions.

2. The slitting method for a silicon steel sheet slitting production line according to claim 1, characterized in that: The method of calculating the standard deviation of all solutions by a greedy algorithm and selecting the top_n solutions with the smallest standard deviation as the preferred cutting solution includes the following steps: A1, select an initial solution from all solutions and calculate the standard deviation t0 of the initial solution; A2, for each remaining solution n, calculate the standard deviation t of solution n n , if t n Smaller than the largest standard deviation among the previous n-1 standard deviations t max , then remove the maximum standard deviation t max The corresponding solutions are selected until the number of solutions left reaches top_n.

3. The slitting method for a silicon steel sheet slitting production line according to claim 2, characterized in that: The method of selecting top_n solutions from multiple local optimal solutions as the preferred cutting solution includes the following steps: B1, define variables: wj-width of the whole silicon steel coil, lj-length of the whole silicon steel coil, w i -The width of the narrow silicon steel coil that can be assembled, l i - the length of the narrow silicon steel coil that can be set, S- the set of narrow silicon steel coils that can be set, Y- the total number of complete silicon steel coils; B2, calculation goal: maximize the number of sets cut from the silicon steel coil, that is, maximize , ; B3, Quantitative constraint: All the narrow silicon steel coils that can be assembled come from the whole silicon steel coil, then ; B4, determine the objective function: ; The objective function is a binary function of the cutting method of each whole silicon steel coil and the total number of silicon steel coils. All possibilities are exhausted and the minimum value of Diff(i,j) is calculated, and the top_n combinations of (i,j) close to 0 are found as the preferred cutting scheme.

4. The slitting method for a silicon steel sheet slitting production line according to claim 3, characterized in that: The method of sorting all the schemes according to the number of sets and selecting the top_n schemes as the preferred cutting schemes includes the following steps: C1, for each cutting plan, calculate the number of cores that can be formed, where the upper limit of the number of cores is the number of sets; C2, sort all cutting plans according to the number of sets; C3, select the top_n solutions with the largest number of sets as the preferred cutting solutions.

5. The slitting method for a silicon steel sheet slitting production line according to claim 4, characterized in that: The parameter data includes a width list, a tolerance, a threshold value, a number of preferred cutting schemes retained, and silicon steel coil information, wherein the width list, the tolerance, the threshold value, and the number of preferred cutting schemes retained are manually set.

6. A slitting device for a silicon steel sheet slitting production line, used to perform the slitting method for a silicon steel sheet slitting production line according to claim 1, characterized in that: include: A power control box (9) for controlling the extension and retraction of the electric push rod (7) based on measurement data of the ultrasonic sensor (6); The power control box (9) comprises an industrial computer, a single-chip microcomputer, and a motor driver, wherein the industrial computer and the single-chip microcomputer are connected to each other through a USB to serial port adapter, the PWM output pin of the single-chip microcomputer is connected to the speed control input terminal of the corresponding motor driver, the GPIO pin of the single-chip microcomputer is connected to the direction control input terminal of the motor driver, the digital output pin and the digital input pin of the single-chip microcomputer are respectively connected to the trigger pin and the echo pin of the ultrasonic sensor (6), and the motor of the electric push rod (7) is connected to the motor interface of the motor driver.

7. The slitting device for the silicon steel sheet slitting production line according to claim 6, characterized in that: Also includes: Two groups of symmetrically arranged hollow rollers (1), wherein the hollow rollers (1) are symmetrically provided with first sliding grooves (101); A fixed frame (2), a plurality of sets of cutter discs (3), a movable frame (8) and a rotating plate (18), wherein the fixed frame (2) is fixedly connected to one end of the hollow roller shaft (1), each set of movable frames (8) is slidably matched with the first slide groove (101), the middle of the fixed frame (2) and the movable frame (8) is rotatably connected to the rotating plate (18) via a bearing, and the cutter disc (3) is sleeved on the hollow roller shaft (1) and fixedly connected to the corresponding fixed frame (2) or the movable frame (8); The ultrasonic sensor (6) and the electric push rod (7) are fixedly mounted on the rotating plate (18); the push rod end of the electric push rod (7) is fixedly connected to the adjacent rotating plate (18); and the distance between adjacent cutter discs (3) is measured in real time by the ultrasonic sensor (6); A power control box (9) and a frame (10), wherein the hollow roller shaft (1) is rotatably mounted between the power control box (9) and the frame (10), and the power control box (9) is used to drive the hollow roller shaft (1) to rotate, and to control the extension and retraction of the electric push rod (7) based on measurement data of the ultrasonic sensor (6).

8. The slitting device for the silicon steel sheet slitting production line according to claim 7, characterized in that: Limiting grooves (801) are provided in the middle of the top and bottom sides of the fixed frame (2) and the movable frame (8), and a limiting block (17) adapted to the limiting groove (801) is fixedly connected to the cutter disc (3).

9. A computer device comprising a memory and a processor, wherein the memory stores computer instructions executable on the processor, wherein: The processor runs the computer instructions to execute the steps of the cutting method according to any one of claims 1-5.

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