A kind of intelligent control method and system of corrugated paper production

Abstract

A method for intelligent control of corrugated paper production includes the following steps: S1: connecting with the enterprise resource planning system, receiving and parsing customer order information, financial data and historical transaction records, generating and managing production plans; S2: starting the production line, and each pit machine and each cadre device perform the production and processing operation of corrugated paperboard; S3: collecting real-time production data through the data acquisition interface connected to each pit machine and each cadre device, and adjusting the operation status of the production line according to the production data. A method for intelligent control of corrugated paper production implements the above-mentioned method for intelligent control of corrugated paper production.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent manufacturing of corrugated paper, and specifically refers to an intelligent control method and system for the production of corrugated paper. Background Art

[0002] In the field of corrugated cardboard production, existing technologies face many challenges, especially in cutting path generation, glue application, visual inspection, robot control, and stacking operations. First, existing technologies have limitations in generating cutting paths for complex corrugated shapes, which leads to inaccurate cutting parameter settings, which in turn affects the subsequent molding and processing quality. Second, during the glue application and curing process, existing methods often fail to determine the appropriate glue type and curing degree according to specific needs, and lack precise control of the heat transfer process, which leads to unstable drying efficiency and finished product quality.

[0003] In terms of visual inspection and robot control, the existing technology also has deficiencies, resulting in limited grasping accuracy and failure to meet the needs of high-precision production. In addition, the existing technology lacks real-time monitoring and intelligent analysis of the stacking status during the stacking operation, which leads to insufficient stacking efficiency and stability, affecting the smoothness of the overall production process.

[0004] Some traditional corrugated paper production control methods may rely on experience or fixed speed settings in terms of production speed control, rather than dynamically adjusting the conveyor belt and paper feeding speed according to the real-time paper accumulation and stacking status. This practice may lead to low production efficiency or cardboard accumulation, affecting the smooth operation of the production line; at the same time, the existing technology may not be comprehensive in terms of production progress evaluation, and fails to comprehensively evaluate the production progress, including a comprehensive analysis of paper accumulation, transmission distance and order change conditions, resulting in an inability to respond to changes in production demand in a timely manner; therefore, it is necessary to develop new technologies to overcome these defects and improve the automation, intelligence and precision of corrugated cardboard production. Summary of the invention

[0005] In order to solve the problems mentioned in the above background technology, the present invention provides an intelligent control method for corrugated paper production. The technical solution adopted by the present invention is as follows: An intelligent control method for corrugated paper production comprises the following steps:

[0006] S1: Connect with the enterprise resource planning system to receive and analyze customer order information, financial data and historical transaction records, and generate and manage production plans;

[0007] S2: Start the production line, and each pit machine and cadre equipment will perform the production and processing operations of corrugated cardboard;

[0008] S3: Collect real-time production data through the data acquisition interface connected to each pit machine and cadre equipment, and adjust the operation status of the production line according to the production data. The production data includes color mark detection signal, paper accumulation of the sky bridge, stacking status of the sky bridge, pulse signal and thickness data of remaining base paper.

[0009] Furthermore, the step S1 comprises:

[0010] S1-1: Set order priorities based on order delivery date, order size, customer category, profit margin and historical transaction records, and reasonably set order processing priorities to ensure that key orders are processed in a timely manner;

[0011] S1-2: Calculate the demand for raw materials and auxiliary materials according to order requirements, generate material requirement plans and resource allocation plans, accurately calculate the amount of raw materials and auxiliary materials required to meet order requirements, and avoid resource waste or shortage;

[0012] S1-3: Retrieve and verify the material inventory data recorded in the resource database, arrange the production order sequence and generate an order change schedule based on the material inventory data and order priority. The material inventory includes raw materials, auxiliary materials, semi-finished products and finished products.

[0013] S1-4: Send resource scheduling instructions and production line loading instructions to the warehouse loading system according to the material requirement plan and resource allocation plan;

[0014] S1-5: After receiving the resource scheduling instructions and production line loading instructions, the warehouse loading system dispatches and loads the raw materials, auxiliary materials and semi-finished products to the corresponding pit machines and dry equipment to ensure that the pit machines and dry equipment are supplied with materials in a timely manner, thereby improving equipment utilization and production output.

[0015] Furthermore, the step S2 comprises:

[0016] S2-1: Retrieve and obtain the original paperboard characteristic data from the resource database, and determine the corrugated paper model according to the original paperboard characteristic data and the required corrugated paper product type in the order information. The corrugated paper products that can be produced by the automated production line include type A, type B, type C and type E. The automated production line can be flexibly adjusted to produce a variety of corrugated paper products, thereby improving the versatility and market adaptability of the production line;

[0017] S2-2: Generate a detailed cutting path according to the corrugated model to ensure accurate cutting of the corrugated shape, wherein the cutting path is a complex path of the corrugated shape;

[0018] S2-3: According to the cutting path and the original paperboard characteristic data, the cutting parameters of the corrugator are set, and the cutting quality is ensured, the material waste is reduced, and the production efficiency is improved by accurately controlling the cutting parameters. The cutting parameters include tool parameters, cutting speed parameters, cutting depth, cutting pressure parameters, blade gap, cutting width, cutting length and cutting mode;

[0019] S2-4: Under the drive of the conveyor belt, the raw paperboard passes through the preheater and the corrugated roller of the corrugator in turn to achieve preheating and corrugation forming of the raw paperboard;

[0020] S2-5: Set the coating mode of the coating head of the gluing machine. The coating head adjusts the coating pressure and coating width when gluing on the corrugated paper according to the set coating mode to ensure that the glue is evenly distributed. The coating modes include dot, line and spray;

[0021] S2-6: Retrieving and obtaining the face paper thickness data from the resource database, adjusting the gap and laminating pressure of the laminating rollers according to the corrugated model of the finished corrugated paper and the face paper thickness data, improving the flatness and strength of the double-sided corrugated paperboard, and laminating the single-sided corrugated paper with the other side of the face paper to form a double-sided corrugated paperboard;

[0022] S2-7: Determine the type of glue required for processing according to the resource allocation plan to ensure that it matches the production needs;

[0023] S2-8: Determine the curing degree of the glue according to the type of corrugated paper product required in the order information;

[0024] S2-9: calling a preset heat transfer model, and setting input parameters of the model according to the type of glue and the degree of curing of the glue to meet the specific requirements of different types of corrugated paper products, wherein the input parameters of the model include the initial temperature of the glue, the thermal conductivity, the specific heat capacity of the glue, the melting point of the glue, the thickness of the corrugated paperboard, the density of the corrugated paperboard, and the thermal reaction characteristics of the glue. The heat transfer model is used to simulate the heat transfer process and calculation in the corrugated paperboard, and the model takes into account the characteristics and curing degree of the glue;

[0025] S2-10: Calculate the drying time through the heat transfer model, adjust the heating power of the drying area and the conveyor belt speed during the drying time based on the model calculation results, adjust the heating power of the drying area through the model calculation results, optimize energy use, reduce energy consumption, adjust the conveyor belt speed to match the drying time, ensure that the corrugated cardboard is evenly dried, and avoid overheating or insufficient drying;

[0026] S2-11: Analyze the product size requirements and corrugated cardboard characteristic data in the current order information, set the cutting parameters of the longitudinal cutting machine and the cross-cutting machine, realize customized production, and ensure the accurate size of the corrugated cardboard after cutting. These cutting parameters include cutting speed, pressure of the pressure wheel, and position and angle of the slitting knife;

[0027] S2-12: Control the pressing wheels and slitting knives of the longitudinal cutting machine and the cross-cutting machine to cut the corrugated cardboard into size according to the set cutting parameters to ensure the accuracy and consistency of the cutting process;

[0028] S2-13: Obtain the corrugated cardboard image captured by the visual sensor and use the image processing algorithm to identify the binding line in the top trimming area of ​​the corrugated cardboard to improve the accuracy and reliability of detection;

[0029] S2-14: Control the printing ball of the printing press to print the color mark along the binding line to ensure that each cardboard can be accurately counted;

[0030] S2-15: At the end of the conveyor belt, an image of the corrugated cardboard sheet collected by the visual sensor is obtained;

[0031] S2-16: Divide the corrugated cardboard image into a plurality of sub-regions, and adjust the size of the sub-regions according to a preset template image and matching accuracy requirements;

[0032] S2-17: For each sub-region, apply the square difference matching algorithm to compare with the preset template image, calculate the SSD value, and evaluate the similarity between the template image and each sub-region based on the calculated SSD value to improve the accuracy of the matching. When the SSD value is equal to the preset threshold, the sub-region is successfully matched with the template image, and the coordinates of the sub-region are used as the coordinates of the matching region, and the coordinates of the successfully matched sub-region are output, where SSD = ΣΣ(T(x,y)-I(x+u,y+v)) 2 , where T is the template image, I is the target image, (x, y) is the coordinate in the template image, and (u, v) is the displacement of the sub-region in the target image relative to the template image;

[0033] S2-18: Use the perspective transformation matrix to convert the coordinates of the matching area into the coordinates in the manipulator coordinate system, control the manipulator to perform actual grasping, and improve the accuracy and speed of recognition;

[0034] S2-19: obtaining the position information of the stack continuously measured by the position sensor, including the horizontal position and vertical height of the stack on the overpass, and obtaining the weight data of the stack on the overpass monitored in real time by the weight sensor;

[0035] S2-20: Analyze the stacking status of the overpass according to the real-time position sensor data and weight sensor data to ensure the real-time update of the stacking status, and generate stacking instructions according to the analysis results. The stacking instructions include the stacking position and stacking height;

[0036] S2-21: Control the robot to execute the stacking instruction and complete the stacking operation of stacking the cut corrugated cardboard sheets on the overpass.

[0037] Furthermore, the step S3 comprises:

[0038] S3-1: receiving a color mark detection signal of corrugated paper sent by a color mark detection device at the overpass, and accumulating and calculating the amount of paper accumulated on the overpass according to the color mark detection signal. Whenever the color mark detection device detects a new color mark, it indicates that a new corrugated paper product is stacked on the overpass;

[0039] S3-2: Control the conveyor belt speed and the paper feeding speed of each pit machine and each equipment according to the paper accumulation and stacking status of the overpass, optimize the production process, and improve the response speed and flexibility of the production line;

[0040] S3-3: Obtaining a pulse signal of an encoder, and calculating the total conveying distance of the conveyor belt under the current order status according to the pulse signal, wherein the encoder is located inside the motor shaft of the conveyor belt, and is used to track and calculate the number of rotations of the motor shaft on the conveyor belt, and convert the number of rotations of the motor shaft into a pulse signal;

[0041] S3-4: According to the order demand in the order information, the total conveying distance of the conveyor belt, the current paper accumulation on the overpass and the order change schedule, the production progress of the corrugated paper is evaluated, the order progress status is monitored in real time, and whether the order change conditions are met is analyzed. When it is determined that the order change is required, an order change signal is generated;

[0042] S3-5: dispatching the order change signal to each pit machine and each device on the production line, ensuring that the order change signal is sent to the correct device at the right time, triggering each pit machine and each device to perform order change operations, including shutdown operations, material replacement operations, equipment parameter adjustment operations, mechanical structure replacement operations, cleaning operations and quality inspection equipment adjustments;

[0043] S3-6: Obtain the thickness data of the remaining base paper through the detection equipment at each pit machine and each equipment of the cadre, provide real-time data support for production control and material management, and record the thickness data of the current remaining base paper in the return warehouse information database.

[0044] Furthermore, a corrugated paper production intelligent control system executes the above-mentioned corrugated paper production intelligent control method.

[0045] The beneficial effects of the intelligent control method for corrugated paper production of the present invention are as follows: This patent application significantly improves the accuracy and efficiency of corrugated paperboard production through automation technology. The system can automatically generate an accurate cutting path according to the corrugated model to ensure the size and appearance quality of the finished product. At the same time, the cutting parameters of the corrugator are automatically set to improve the consistency of cutting. The determination of the degree of curing of the intelligent glue enhances the durability and stability of the finished product. The application of the heat transfer model optimizes the drying process and improves energy efficiency. The introduction of image processing technology improves the flexibility and accuracy of template matching. The use of perspective transformation matrix ensures the precise grasping of the manipulator. Real-time data analysis and intelligent stacking decisions improve stacking efficiency and quality. In addition, the system can also monitor the amount of paper accumulated on the overpass in real time, dynamically adjust the production speed, ensure accurate tracking of the production progress, reduce manual intervention, and improve the accuracy and efficiency of order change. Overall, this application realizes the automation and intelligence of corrugated paperboard production, reduces costs, and improves production efficiency and product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a flow chart of an intelligent control method for corrugated paper production according to the present invention;

[0047] Figure 2 This is a system architecture diagram of an order receiving management module of a toilet intelligent control system of the present invention;

[0048] Figure 3 This is a system architecture diagram of an automated production module of an intelligent toilet control system of the present invention;

[0049] Figure 4 This is a system architecture diagram of a production line monitoring module of a toilet intelligent control system of the present invention.

[0050] Among them, 1. Order receiving management module; 11. Order priority setting submodule; 12. Production plan planning submodule; 13. Inventory management submodule; 14. Production resource scheduling submodule; 2. Automated production module; 21. Corrugated model analysis submodule; 22. Cutting path planning submodule; 23. Corrugator parameter setting submodule; 24. Coating mode setting submodule; 25. Composite roller parameter adjustment submodule; 26. Glue parameter analysis submodule; 27. Drying control submodule; 28. Cutting parameter setting submodule; 29. ​​Cutting operation control submodule; 30. Binding line identification submodule; 31. Printing color mark control submodule; 32. Image area planning submodule; 33. Image matching submodule; 34. Robot navigation submodule; 35. Overpass stacking state analysis submodule; 36. Stacking instruction generation submodule; 37. Stacking operation control submodule; 3. Production line monitoring module; 38. Overpass paper accumulation calculation submodule; 39. Paper loading speed control submodule; 40. Total transmission distance calculation submodule; 41. Order change condition evaluation submodule; 42. Order change signal scheduling submodule; 43. Return to warehouse information recording submodule. DETAILED DESCRIPTION

[0051] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. 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.

[0052] like Figure 1-4 As shown, a method for intelligent control of corrugated paper production comprises the following steps:

[0053] S1: Connect with the enterprise resource planning system to receive and analyze customer order information, financial data and historical transaction records, and generate and manage production plans;

[0054] S2: Start the production line, and each pit machine and cadre equipment will perform the production and processing operations of corrugated cardboard;

[0055] S3: Collect real-time production data through the data acquisition interface connected to each pit machine and cadre equipment, and adjust the operation status of the production line according to the production data. The production data includes color mark detection signal, paper accumulation of the sky bridge, stacking status of the sky bridge, pulse signal and thickness data of remaining base paper.

[0056] The step S1 comprises:

[0057] S1-1: Set order priorities based on order delivery date, order size, customer category, profit margin and historical transaction records, and reasonably set order processing priorities to ensure that key orders are processed in a timely manner;

[0058] S1-2: Calculate the demand for raw materials and auxiliary materials according to order requirements, generate material requirement plans and resource allocation plans, accurately calculate the amount of raw materials and auxiliary materials required to meet order requirements, and avoid resource waste or shortage;

[0059] S1-3: Retrieve and verify the material inventory data recorded in the resource database, arrange the production order sequence and generate an order change schedule based on the material inventory data and order priority. The material inventory includes raw materials, auxiliary materials, semi-finished products and finished products.

[0060] S1-4: Send resource scheduling instructions and production line loading instructions to the warehouse loading system according to the material requirement plan and resource allocation plan;

[0061] S1-5: After receiving the resource scheduling instructions and production line loading instructions, the warehouse loading system dispatches and loads the raw materials, auxiliary materials and semi-finished products to the corresponding pit machines and dry equipment to ensure that the pit machines and dry equipment are supplied with materials in a timely manner, thereby improving equipment utilization and production output.

[0062] The step S2 comprises:

[0063] S2-1: Retrieve and obtain the original paperboard characteristic data from the resource database, and determine the corrugated paper model according to the original paperboard characteristic data and the required corrugated paper product type in the order information. The corrugated paper products that can be produced by the automated production line include type A, type B, type C and type E. The automated production line can be flexibly adjusted to produce a variety of corrugated paper products, thereby improving the versatility and market adaptability of the production line;

[0064] S2-2: Generate a detailed cutting path according to the corrugated model to ensure accurate cutting of the corrugated shape, wherein the cutting path is a complex path of the corrugated shape;

[0065] S2-3: According to the cutting path and the original paperboard characteristic data, the cutting parameters of the corrugator are set, and the cutting quality is ensured, the material waste is reduced, and the production efficiency is improved by accurately controlling the cutting parameters. The cutting parameters include tool parameters, cutting speed parameters, cutting depth, cutting pressure parameters, blade gap, cutting width, cutting length and cutting mode;

[0066] S2-4: Under the drive of the conveyor belt, the raw paperboard passes through the preheater and the corrugated roller of the corrugator in turn to achieve preheating and corrugation forming of the raw paperboard;

[0067] S2-5: Set the coating mode of the coating head of the gluing machine. The coating head adjusts the coating pressure and coating width when gluing on the corrugated paper according to the set coating mode to ensure that the glue is evenly distributed. The coating modes include dot, line and spray;

[0068] S2-6: Retrieving and obtaining the face paper thickness data from the resource database, adjusting the gap and laminating pressure of the laminating rollers according to the corrugated model of the finished corrugated paper and the face paper thickness data, improving the flatness and strength of the double-sided corrugated paperboard, and laminating the single-sided corrugated paper with the other side of the face paper to form a double-sided corrugated paperboard;

[0069] S2-7: Determine the type of glue required for processing according to the resource allocation plan to ensure that it matches the production needs;

[0070] S2-8: Determine the curing degree of the glue according to the type of corrugated paper product required in the order information;

[0071] S2-9: calling a preset heat transfer model, and setting input parameters of the model according to the type of glue and the degree of curing of the glue to meet the specific requirements of different types of corrugated paper products, wherein the input parameters of the model include the initial temperature of the glue, the thermal conductivity, the specific heat capacity of the glue, the melting point of the glue, the thickness of the corrugated paperboard, the density of the corrugated paperboard, and the thermal reaction characteristics of the glue. The heat transfer model is used to simulate the heat transfer process and calculation in the corrugated paperboard, and the model takes into account the characteristics and curing degree of the glue;

[0072] S2-10: Calculate the drying time through the heat transfer model, adjust the heating power of the drying area and the conveyor belt speed during the drying time based on the model calculation results, adjust the heating power of the drying area through the model calculation results, optimize energy use, reduce energy consumption, adjust the conveyor belt speed to match the drying time, ensure that the corrugated cardboard is evenly dried, and avoid overheating or insufficient drying;

[0073] S2-11: Analyze the product size requirements and corrugated cardboard characteristic data in the current order information, set the cutting parameters of the longitudinal cutting machine and the cross-cutting machine, realize customized production, and ensure the accurate size of the corrugated cardboard after cutting. These cutting parameters include cutting speed, pressure of the pressure wheel, and position and angle of the slitting knife;

[0074] S2-12: Control the pressing wheels and slitting knives of the longitudinal cutting machine and the cross-cutting machine to cut the corrugated cardboard into size according to the set cutting parameters to ensure the accuracy and consistency of the cutting process;

[0075] S2-13: Obtain the corrugated cardboard image captured by the visual sensor and use the image processing algorithm to identify the binding line in the top trimming area of ​​the corrugated cardboard to improve the accuracy and reliability of detection;

[0076] S2-14: Control the printing ball of the printing press to print the color mark along the binding line to ensure that each cardboard can be accurately counted;

[0077] S2-15: At the end of the conveyor belt, an image of the corrugated cardboard sheet collected by the visual sensor is obtained;

[0078] S2-16: Divide the corrugated cardboard image into a plurality of sub-regions, and adjust the size of the sub-regions according to a preset template image and matching accuracy requirements;

[0079] S2-17: For each sub-region, apply the square difference matching algorithm to compare with the preset template image, calculate the SSD value, and evaluate the similarity between the template image and each sub-region based on the calculated SSD value to improve the accuracy of the matching. When the SSD value is equal to the preset threshold, the sub-region is successfully matched with the template image, and the coordinates of the sub-region are used as the coordinates of the matching region, and the coordinates of the successfully matched sub-region are output, where SSD = ΣΣ(T(x,y)-I(x+u,y+v)) 2 , where T is the template image, I is the target image, (x, y) is the coordinate in the template image, and (u, v) is the displacement of the sub-region in the target image relative to the template image;

[0080] S2-18: Use the perspective transformation matrix to convert the coordinates of the matching area into the coordinates in the manipulator coordinate system, control the manipulator to perform actual grasping, and improve the accuracy and speed of recognition;

[0081] S2-19: obtaining the position information of the stack continuously measured by the position sensor, including the horizontal position and vertical height of the stack on the overpass, and obtaining the weight data of the stack on the overpass monitored in real time by the weight sensor;

[0082] S2-20: Analyze the stacking status of the overpass according to the real-time position sensor data and weight sensor data to ensure the real-time update of the stacking status, and generate stacking instructions according to the analysis results. The stacking instructions include the stacking position and stacking height;

[0083] S2-21: Control the robot to execute the stacking instruction and complete the stacking operation of stacking the cut corrugated cardboard sheets on the overpass.

[0084] The step S3 comprises:

[0085] S3-1: receiving a color mark detection signal of corrugated paper sent by a color mark detection device at the overpass, and accumulating and calculating the amount of paper accumulated on the overpass according to the color mark detection signal. Whenever the color mark detection device detects a new color mark, it indicates that a new corrugated paper product is stacked on the overpass;

[0086] S3-2: Control the conveyor belt speed and the paper feeding speed of each pit machine and each equipment according to the paper accumulation and stacking status of the overpass, optimize the production process, and improve the response speed and flexibility of the production line;

[0087] S3-3: Obtaining a pulse signal of an encoder, and calculating the total conveying distance of the conveyor belt under the current order status according to the pulse signal, wherein the encoder is located inside the motor shaft of the conveyor belt, and is used to track and calculate the number of rotations of the motor shaft on the conveyor belt, and convert the number of rotations of the motor shaft into a pulse signal;

[0088] S3-4: According to the order demand in the order information, the total conveying distance of the conveyor belt, the current paper accumulation on the overpass and the order change schedule, the production progress of the corrugated paper is evaluated, the order progress status is monitored in real time, and whether the order change conditions are met is analyzed. When it is determined that the order change is required, an order change signal is generated;

[0089] S3-5: dispatching the order change signal to each pit machine and each device on the production line, ensuring that the order change signal is sent to the correct device at the right time, triggering each pit machine and each device to perform order change operations, including shutdown operations, material replacement operations, equipment parameter adjustment operations, mechanical structure replacement operations, cleaning operations and quality inspection equipment adjustments;

[0090] S3-6: Obtain the thickness data of the remaining base paper through the detection equipment at each pit machine and each equipment of the cadre, provide real-time data support for production control and material management, and record the thickness data of the current remaining base paper in the return warehouse information database.

[0091] An intelligent control system for corrugated paper production, comprising an order receiving management module 1, an automated production module 2 and a production line monitoring module 3;

[0092] The order receiving management module 1 is used to connect with the enterprise resource planning system, receive and analyze customer order information, financial data and historical transaction records, and generate and manage production plans;

[0093] The automated production module 2 is used to start the production line;

[0094] The production line monitoring module 3 is used to collect real-time production data through the data acquisition interface connected to each pit machine and each cadre device, and adjust the operation status of the production line according to the production data. The production data includes color mark detection signal, paper accumulation of the bridge, stacking status of the bridge, pulse signal and thickness data of remaining base paper;

[0095] The order receiving management module 1 includes an order priority setting submodule 11, a production plan planning submodule 12, an inventory management submodule 13 and a production resource scheduling submodule 14;

[0096] The order priority setting submodule 11 is used to set the order priority according to the order delivery date, order size, customer category, profit margin and historical transaction records;

[0097] The production planning submodule 12 is used to calculate the demand for raw materials and auxiliary materials according to the order requirements, and generate a material requirement plan and a resource allocation plan;

[0098] The inventory management submodule 13 is used to retrieve and verify the material inventory data recorded in the resource database, arrange the production order sequence and generate the order change schedule according to the material inventory data and order priority. The material inventory includes raw materials, auxiliary materials, semi-finished products and finished products;

[0099] The production resource scheduling submodule 14 sends resource scheduling instructions and production line loading instructions to the warehouse loading system according to the material requirement plan and the resource allocation plan.

[0100] The automated production module 2 includes a corrugated model analysis submodule 21, a cutting path planning submodule 22, a corrugator parameter setting submodule 23, a coating mode setting submodule 24, a composite roller parameter adjustment submodule 25, a glue parameter analysis submodule 26, a drying control submodule 27, a cutting parameter setting submodule 28, a cutting operation control submodule 29, a binding line recognition submodule 30, a printing color code control submodule 31, an image area planning submodule 32, an image matching submodule 33, a manipulator navigation submodule 34, a bridge stacking state analysis submodule 35, a stacking instruction generation submodule 36 and a stacking operation control submodule 37;

[0101] The corrugated paper model analysis submodule 21 is used to retrieve and obtain the original paperboard characteristic data from the resource database, and determine the corrugated paper model according to the original paperboard characteristic data and the required type of corrugated paper product in the order information. The corrugated paper product types that can be produced by the automated production line include type A, type B, type C and type E;

[0102] The cutting path planning submodule 22 is used to generate a detailed cutting path according to the corrugated model, and the cutting path is a complex path of the corrugated shape; the cutting path planning submodule partial implementation code includes:

[0103]

[0104]

[0105]

[0106] The corrugator parameter setting submodule 23 is used to set the cutting parameters of the corrugator according to the cutting path and the original paperboard characteristic data, and the cutting parameters include tool parameters, cutting speed parameters, cutting depth, cutting pressure parameters, blade gap, cutting width, cutting length and cutting mode;

[0107] The coating mode setting submodule 24 is used to set the coating mode of the coating head of the glue applicator, and the coating modes include dot, line and spray;

[0108] The composite roller parameter adjustment submodule 25 is used to retrieve and obtain the surface paper thickness data from the resource database, and adjust the gap and composite pressure of the composite roller according to the corrugated model of the corrugated paper product and the thickness data of the surface paper;

[0109] The glue parameter analysis submodule 26 is used to determine the type of glue required for processing according to the resource allocation plan; determine the degree of curing of the glue according to the type of corrugated paper product required in the order information; call a preset heat transfer model, and set the input parameters of the model according to the type of glue and the degree of curing of the glue. The input parameters of the model include the initial temperature of the glue, thermal conductivity, specific heat capacity of the glue, melting point of the glue, thickness of the corrugated paperboard, density of the corrugated paperboard and thermal reaction characteristics of the glue. The heat transfer model is used to simulate the heat transfer process and calculation in the corrugated paperboard, and the model takes into account the characteristics and degree of curing of the glue;

[0110] The drying time is calculated by the heat transfer model, and the drying control submodule 27 adjusts the heating power of the drying area and the conveying speed of the conveyor belt within the drying time based on the model calculation result;

[0111] The cutting parameter setting submodule 28 analyzes the product size requirements and corrugated board characteristic data in the current order information, and sets the cutting parameters of the longitudinal cutting machine and the cross-cutting machine, which include the cutting speed, the pressure of the pressing wheel, and the position and angle of the slitting knife;

[0112] The cutting operation control submodule 29 is used to control the pressing wheels and slitting knives of the longitudinal cutting machine and the cross-cutting machine to perform size cutting operations on the corrugated cardboard according to the set cutting parameters;

[0113] The binding line identification submodule 30 is used to obtain the corrugated board image captured by the visual sensor and use the image processing algorithm to identify the binding line in the top trimming area of ​​the corrugated board;

[0114] The printing color mark control submodule 31 is used to control the printing ball of the printing press to print the color mark along the binding line to ensure that each cardboard can be accurately counted;

[0115] The image region planning submodule 32 is used to obtain the corrugated cardboard sheet image collected by the visual sensor, divide the corrugated cardboard sheet image into multiple sub-regions, and adjust the size of the sub-region according to the preset template image and the matching accuracy requirement;

[0116] The image matching submodule 33 uses the square difference matching algorithm to compare with the preset template image, calculates the SSD value, and evaluates the similarity between the template image and each sub-region according to the calculated SSD value. When the SSD value is equal to the preset threshold, the sub-region matches the template image successfully, and the coordinates of the sub-region are used as the coordinates of the matching region, and the coordinates of the successfully matched sub-region are output, where SSD=ΣΣ(T(x,y)-I(x+u,y+v)) 2 , where T is the template image, I is the target image, (x, y) is the coordinate in the template image, and (u, v) is the displacement of the sub-region in the target image relative to the template image;

[0117] The manipulator navigation submodule 34 uses the perspective transformation matrix to convert the coordinates of the matching area into coordinates in the manipulator coordinate system, controls the manipulator to perform actual grasping, and improves the accuracy and speed of recognition;

[0118] The overpass stacking state analysis submodule 35 is used to obtain the position information of the stacking continuously measured by the position sensor, including the horizontal position and vertical height of the stacking on the overpass, and to obtain the weight data of the stacking on the overpass monitored in real time by the weight sensor; and to analyze the overpass stacking state according to the real-time position sensor data and weight sensor data;

[0119] The stacking instruction generation submodule 36 is used to generate a stacking instruction according to the analysis result, and the stacking instruction includes a stacking position and a stacking height;

[0120] The stacking operation control submodule 37 is used to control the robot to execute the stacking instruction and complete the stacking operation of stacking the cut corrugated cardboard sheets on the overpass.

[0121] The production line monitoring module 3 includes a bridge paper accumulation calculation submodule 38, a paper feeding speed control submodule 39, a total transmission distance calculation submodule 40, an order change condition evaluation submodule 41, an order change signal scheduling submodule 42 and a return information recording submodule 43.

[0122] The overpass paper accumulation calculation submodule 38 is used to receive the color mark detection signal of the corrugated paper sent by the color mark detection device at the overpass, and cumulatively calculate the paper accumulation on the overpass according to the color mark detection signal. Whenever the color mark detection device detects a new color mark, it indicates that a new corrugated paper product is stacked on the overpass;

[0123] The paper feeding speed control submodule 39 is used to control the conveying speed of the conveyor belt and the paper feeding speed of each pit machine and each device of the cadre according to the amount of paper accumulated and the stacking state of the overpass;

[0124] The total transmission distance calculation submodule 40 is used to obtain the pulse signal of the encoder, and calculate the total transmission distance of the conveyor belt under the current order state according to the pulse signal. The encoder is located inside the motor shaft of the conveyor belt, and is used to track and calculate the number of rotations of the motor shaft on the conveyor belt, and convert the number of rotations of the motor shaft into a pulse signal;

[0125] The order change condition evaluation submodule 41 is used to evaluate the production progress of corrugated paper according to the order demand in the order information, the total conveying distance of the conveyor belt, the current paper accumulation on the overpass and the order change schedule, analyze whether the order change conditions are met, and generate an order change signal when it is determined that the order change is required;

[0126] The order change signal scheduling submodule 42 is used to schedule the order change signal to each pit machine and each device on the production line, ensuring that the signal is sent to the correct device at the right time, triggering each pit machine and each device to perform order change operations, which include shutdown operations, material replacement operations, equipment parameter adjustment operations, mechanical structure replacement operations, cleaning operations, and quality inspection equipment adjustments;

[0127] The return-to-warehouse information recording submodule 43 is used to obtain the thickness data of the remaining base paper detected by the detection device, and record the thickness data of the current remaining base paper in the return-to-warehouse information database.

[0128] The present invention and its embodiments are described above, which is not restrictive. What is shown in the accompanying drawings is only one of the embodiments of the present invention, and the actual structure is not limited thereto. In short, if ordinary technicians in this field are inspired by it and do not deviate from the purpose of the invention, they can creatively design structural methods and embodiments similar to the technical scheme, which should all fall within the scope of protection of the present invention.

Claims

1. An intelligent control method for corrugated paper production, characterized in that: The following steps are involved: S1: Connect with the enterprise resource planning system to receive and analyze customer order information, financial data and historical transaction records, and generate and manage production plans; S2: Start the production line, and each pit machine and cadre equipment will perform the production and processing operations of corrugated cardboard; S3: Collect real-time production data through the data acquisition interface connected to each pit machine and cadre equipment, and adjust the operation status of the production line according to the production data; The step S2 comprises: S2-1: retrieve and obtain the original paperboard characteristic data from the resource database, determine the corrugated paper model according to the original paperboard characteristic data and the required corrugated paper product type in the order information, and the corrugated paper product types that can be produced by the automated production line include type A, type B, type C and type E; S2-2: Generate a detailed cutting path according to the corrugated model, wherein the cutting path is a complex path of the corrugated shape; S2-3: Set the cutting parameters of the corrugator according to the cutting path and the original paperboard characteristic data; S2-4: Under the drive of the conveyor belt, the raw paperboard passes through the preheater and the corrugated roller of the corrugator in turn to achieve preheating and corrugation forming of the raw paperboard; S2-5: Setting the coating mode of the coating head of the gluing machine. The coating head adjusts the coating pressure and coating width when gluing on the corrugated paper according to the set coating mode; S2-6: Retrieving and obtaining the face paper thickness data from the resource database, adjusting the gap and laminating pressure of the laminating rollers according to the corrugated model of the finished corrugated paper and the face paper thickness data, and laminating the single-sided corrugated paper with the other-sided face paper to form a double-sided corrugated paperboard; S2-7: Determine the type of glue required for processing based on the resource allocation plan; S2-8: Determine the curing degree of the glue according to the type of corrugated paper product required in the order information; S2-9: calling a preset heat transfer model, and setting input parameters of the model according to the type of glue and the curing degree of the glue; S2-10: Calculate the drying time through the heat transfer model, and adjust the heating power of the drying area and the conveying speed of the conveyor belt during the drying time based on the model calculation results; S2-11: Analyze the product size requirements and corrugated cardboard characteristic data in the current order information, and set the cutting parameters of the longitudinal cutting machine and the cross-cutting machine; S2-12: Control the pressing wheels and slitting knives of the longitudinal cutting machine and the cross-cutting machine to cut the corrugated cardboard into size according to the set cutting parameters; S2-13: Obtaining a corrugated cardboard image captured by a visual sensor and using an image processing algorithm to identify a binding line in a top trimming area of ​​the corrugated cardboard; S2-14: Control the printing ball of the printing press to print the color mark along the binding line; S2-15: At the end of the conveyor belt, an image of the corrugated cardboard sheet collected by the visual sensor is obtained; S2-16: Divide the corrugated cardboard image into a plurality of sub-regions, and adjust the size of the sub-regions according to a preset template image and matching accuracy requirements; S2-17: For each sub-region, apply the square difference matching algorithm to compare with the preset template image, calculate the SSD value, and evaluate the similarity between the template image and each sub-region according to the calculated SSD value. When the SSD value is equal to the preset threshold, the sub-region matches the template image successfully, and the coordinates of the sub-region are used as the coordinates of the matching region. The coordinates of the successfully matched sub-region are output, where SSD = ΣΣ(T (x,y) - I (x + u,y + v))², where T is the template image, I is the target image, (x,y) is the coordinate in the template image, and (u,v) is the displacement of the sub-region in the target image relative to the template image; S2-18: Use the perspective transformation matrix to convert the coordinates of the matching area into the coordinate system of the manipulator, and control the manipulator to perform actual grasping; S2-19: obtaining the position information of the stack continuously measured by the position sensor and obtaining the weight data of the stack on the overpass monitored in real time by the weight sensor; S2-20: Analyze the stacking state of the overpass according to the real-time position sensor data and weight sensor data, and generate stacking instructions according to the analysis results; S2-21: Control the robot to execute the stacking instruction and complete the stacking operation of stacking the cut corrugated cardboard sheets on the overpass.

2. The intelligent control method for corrugated paper production according to claim 1, characterized in that: The step S1 comprises: S1-1: Set order priorities based on order delivery date, order size, customer category, profit margin, and historical transaction records; S1-2: Calculate the demand for raw materials and auxiliary materials according to order requirements, and generate material requirement plan and resource allocation plan; S1-3: Retrieve and verify the material inventory data recorded in the resource database, arrange the production order sequence and generate the order change schedule according to the material inventory data and order priority, the material inventory includes raw materials, auxiliary materials, semi-finished products and finished products; S1-4: Send resource scheduling instructions and production line loading instructions to the warehouse loading system according to the material requirement plan and resource allocation plan; S1-5: After receiving the resource scheduling instructions and production line loading instructions, the warehouse loading system schedules and loads the raw materials, auxiliary materials and semi-finished products to the corresponding pit machines and cadre equipment.

3. The intelligent control method for corrugated paper production according to claim 2, characterized in that: The step S3 comprises: S3-1: receiving a color mark detection signal of corrugated paper sent by a color mark detection device at the overpass, and accumulating and calculating the amount of paper accumulated on the overpass according to the color mark detection signal. Whenever the color mark detection device detects a new color mark, it indicates that a new corrugated paper product is stacked on the overpass; S3-2: Control the conveyor belt speed and the paper feeding speed of each pit machine and cadre equipment according to the amount of paper accumulated and the stacking status of the overpass; S3-3: Obtaining a pulse signal of an encoder, and calculating the total conveying distance of the conveyor belt under the current order status according to the pulse signal, wherein the encoder is located inside the motor shaft of the conveyor belt, and is used to track and calculate the number of rotations of the motor shaft on the conveyor belt, and convert the number of rotations of the motor shaft into a pulse signal; S3-4: According to the order demand in the order information, the total conveying distance of the conveyor belt, the current paper accumulation on the overpass and the order change schedule, the production progress of the corrugated paper is evaluated, and whether the order change conditions are met is analyzed. When it is determined that the order change is required, an order change signal is generated; S3-5: dispatch the order change signal to each pit machine and each cadre equipment on the production line, triggering each pit machine and each cadre equipment to perform order change operation; S3-6: Obtain the thickness data of the remaining base paper through the detection equipment at each pit machine and each equipment of the cadre, and record the thickness data of the current remaining base paper in the return warehouse information database.

4. An intelligent control system for corrugated paper production, characterized in that: Execute an intelligent control method for corrugated paper production as described in any one of claims 1-3.

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