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CN118938843B - Intelligent control method and system for corrugated paper production - Google Patents

Intelligent control method and system for corrugated paper production Download PDF

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Publication number
CN118938843B
CN118938843B CN202411248275.7A CN202411248275A CN118938843B CN 118938843 B CN118938843 B CN 118938843B CN 202411248275 A CN202411248275 A CN 202411248275A CN 118938843 B CN118938843 B CN 118938843B
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production
corrugated
paper
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data
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CN118938843A (en
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叶腾宇
叶震宇
叶杰财
陈素娜
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Chaozhou Jinjiaye Technology Co ltd
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Chaozhou Jinjiaye Technology Co ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41865Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32252Scheduling production, machining, job shop

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • General Factory Administration (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A corrugated paper production intelligent control method comprises the following steps of S1, interfacing with an enterprise resource planning system, receiving and analyzing customer order information, financial data and historical transaction records, generating and managing a production plan, S2, starting a production line, executing production and processing operations of corrugated paper boards by pit machines and equipment on a trunk, S3, collecting real-time production data through data acquisition interfaces connected with the pit machines and the equipment on the trunk, and adjusting the running state of the production line according to the production data. An intelligent control system for corrugated paper production executes the intelligent control method for corrugated paper production.

Description

Intelligent control method and system for corrugated paper production
Technical Field
The invention belongs to the technical field of corrugated paper intelligent manufacturing, and particularly relates to an intelligent control method and system for corrugated paper production.
Background
In the field of corrugated board production, the prior art faces a plurality of challenges, particularly in the aspects of cutting path generation, glue application, visual detection, manipulator control, stacking operation and the like, and firstly, the prior art has limitations in generating a cutting path with a complex corrugated shape, which leads to inaccurate cutting parameter setting and further influences on subsequent forming and processing quality. Secondly, in the glue application and curing process, the existing method often cannot determine the proper glue type and curing degree according to specific requirements, and lacks accurate control over the heat transfer process, so that the drying efficiency and the quality of a finished product are unstable;
In addition, the prior art lacks real-time monitoring and intelligent analysis on stacking state in stacking operation, which leads to insufficient stacking efficiency and stability and influences the smoothness of the whole production flow;
The conventional corrugated paper production control methods may depend on experience or fixed speed setting in terms of production speed control, rather than dynamically adjusting the conveyor belt and paper feeding speed according to the real-time paper accumulation amount and stacking state, which may result in low production efficiency or stacked paper boards, affecting smooth operation of a production line, and meanwhile, the prior art may not fully evaluate the production progress in terms of production progress evaluation, including comprehensive analysis of the paper accumulation amount, the conveying distance and the sheet changing condition, resulting in failure to respond to changes of production requirements in time, so that it is necessary to develop new technologies to overcome the defects and improve automation, intellectualization and accuracy of corrugated paper board production.
Disclosure of Invention
In order to solve the problems in the background art, the invention provides an intelligent control method for corrugated paper production, which adopts the following technical scheme:
S1, interfacing with an enterprise resource planning system, receiving and analyzing customer order information, financial data and historical transaction records, and generating and managing a production plan;
s2, starting a production line, and executing production and processing operations of corrugated boards by all pit machine tables and all equipment of a drier part;
and S3, collecting real-time production data through data acquisition interfaces connected with each pit machine and each equipment of the main part, and adjusting the running state of the production line according to the production data, wherein the production data comprises color code detection signals, the paper accumulation amount of the overpass, the stacking state of the overpass, pulse signals and thickness data of the residual base paper.
Further, the step S1 includes:
s1-1, setting the priority of orders according to the delivery date of the orders, the size of the orders, the category of the clients, the profit margin and the historical transaction record, reasonably setting the priority of order processing, and ensuring that key orders are processed in time;
s1-2, calculating the demand of raw materials and auxiliary materials according to the order demands, generating a material demand plan and a resource allocation plan, accurately calculating the required raw materials and auxiliary materials to meet the order demands, and avoiding resource waste or shortage;
and S1-3, retrieving and checking material inventory data recorded in a resource database, and arranging production order sequence and generating a change schedule according to the material inventory data and order priority, wherein the material inventory comprises raw materials, auxiliary materials, semi-finished products and finished products.
S1-4, sending a resource scheduling instruction and a production line feeding instruction to a warehouse feeding system according to a material demand plan and a resource allocation plan;
and S1-5, after receiving a resource scheduling instruction and a production line feeding instruction, the warehouse feeding system schedules and feeds raw materials, auxiliary materials and semi-finished products to corresponding pit machine stations and trunk equipment, ensures that the pit machine stations and the trunk equipment are fed in time, and improves the equipment utilization rate and production output.
Further, the step S2 includes:
S2-1, retrieving and acquiring original paperboard characteristic data from the resource database, determining a corrugated model according to the original paperboard characteristic data and the type of a required corrugated paper finished product in order information, wherein the corrugated model of the corrugated paper finished product which can be produced by an automatic production line comprises a type A, a type B, a type C and a type E, the automatic production line can be flexibly adjusted, various corrugated paper finished products can be produced, and the universality and market adaptability of the production line are improved;
s2-2, generating a detailed cutting path according to the model of the corrugated, and ensuring accurate cutting of the corrugated shape, wherein the cutting path is a complex path of the corrugated shape;
s2-3, setting cutting parameters of the corrugating machine according to the cutting path and the raw paperboard characteristic data, and ensuring cutting quality by accurately controlling the cutting parameters, reducing material waste and improving production efficiency, wherein the cutting parameters comprise cutter parameters, cutting speed parameters, cutting depth, cutting pressure parameters, blade gaps, cutting width, cutting length and cutting mode;
s2-4, under the transmission effect of a conveyor belt, the raw paper board sequentially passes through a preheater and a corrugated roller of a corrugating machine to realize the preheating and the corrugated forming of the raw paper board;
s2-5, setting a coating mode of a coating head of a sizing machine, wherein the coating head adjusts the coating pressure and the coating width when sizing the corrugated paper according to the set coating mode to ensure uniform distribution of glue, and the coating mode comprises dot, linear and spray;
S2-6, retrieving and acquiring facial tissue thickness data from the resource database, adjusting the gap and the composite pressure of a composite roller according to the corrugated model of a corrugated paper finished product and the facial tissue thickness data, improving the flatness and the strength of the double-sided corrugated paper board, and compositing single-sided corrugated paper with another layer of facial tissue to form the double-sided corrugated paper board;
s2-7, determining the type of glue required by processing according to a resource allocation plan, and ensuring that the glue is matched with production requirements;
s2-8, determining the curing degree of the glue according to the type of the required corrugated paper finished product in the order information;
S2-9, calling a preset heat transfer model, according to the type of the glue and the solidification degree of the glue, meeting the specific requirements of different types of corrugated paper finished products, setting input parameters of the model, wherein the input parameters of the model comprise the initial temperature, the thermal conductivity, the specific heat capacity of the glue, the melting point of the glue, the thickness of the corrugated board, the density of the corrugated board and the thermal reaction characteristic of the glue, the heat transfer model is used for simulating the heat transfer process and calculation in the corrugated board, and the model considers the characteristic and the solidification degree of the glue;
S2-10, calculating drying time through a heat transfer model, adjusting heating power of a drying area and conveying speed of a conveyor belt in the drying time based on a model calculation result, adjusting the heating power of the drying area through the model calculation result, optimizing energy use, reducing energy consumption, adjusting the speed of the conveyor belt to match the drying time, ensuring uniform drying of corrugated boards, and avoiding overheating or insufficient drying;
S2-11, analyzing product size requirements and corrugated board characteristic data in current order information, setting cutting parameters of a slitter and a transverse cutter, realizing customized production, and ensuring the accuracy of the size of the cut corrugated board, wherein the cutting parameters comprise cutting speed, pinch roller pressure, and the position and angle of a dividing knife;
S2-12, controlling pinch rollers and slitting knives of a slitter and a transverse cutter to carry out size cutting operation on the corrugated board according to set cutting parameters, so as to ensure the accuracy and consistency of the cutting process;
S2-13, acquiring a corrugated board image captured by a visual sensor, and identifying binding lines in a top trimming area of the corrugated board by using an image processing algorithm, so that the detection accuracy and reliability are improved;
S2-14, controlling a printing ball of a printer to print color codes along a binding line, so as to ensure that each paperboard can be accurately counted;
s2-15, acquiring corrugated board sheet images acquired by a visual sensor at the tail end of the conveyor belt;
S2-16, dividing the corrugated cardboard sheet image into a plurality of subareas, and adjusting the sizes of the subareas according to a preset template image and a matching precision requirement;
S2-17, respectively comparing a square difference matching algorithm with a preset template image for each sub-region, calculating an SSD value, evaluating the similarity degree of the template image and each sub-region according to the calculated SSD value, improving the matching accuracy, when the SSD value is equal to a preset threshold value, successfully matching the sub-region with the template image, taking the coordinates of the sub-region as the coordinates of the matching region, and outputting the successfully matched coordinates of the sub-region, wherein SSD = Σ (T (x, y) -I (x+u, y+v)) 2, wherein T is the template image, I is the target image, (x, y) is the coordinates in the template image, and (u, v) is the displacement of the sub-region relative to the template image in the target image;
s2-18, converting the coordinates of the matching area into coordinates in a manipulator coordinate system by using a perspective transformation matrix, and controlling the manipulator to carry out actual grabbing, thereby improving the accuracy and speed of identification;
S2-19, acquiring position information of the stacks, which is continuously measured by a position sensor, including the horizontal position and the vertical height of the stacks on the overpass, and acquiring weight data of the stacks on the overpass, which are monitored by a weight sensor in real time;
s2-20, analyzing the stacking state of the overpass according to the real-time position sensor data and the weight sensor data, ensuring the real-time update of the stacking state, and generating a stacking instruction according to the analysis result, wherein the stacking instruction comprises a stacking position and a stacking height;
S2-21, controlling the manipulator to execute a stacking instruction to finish stacking operation of stacking the cut corrugated paperboard sheets on the overpass.
Further, the step S3 includes:
s3-1, receiving a color code detection signal of corrugated paper sent by a color code detection device at the overpass, and accumulating and calculating the paper accumulation amount of the overpass according to the color code detection signal, wherein each time the color code detection device detects a new color code, the color code detection device indicates that a new corrugated paper finished product is stacked on the overpass;
S3-2, controlling the conveying speed of the conveyor belt and the paper feeding speed of each pit machine and each equipment of the trunk according to the paper accumulation amount and the stacking state of the overpass, optimizing the production flow, and improving the response speed and the flexibility of the production line;
S3-3, acquiring a pulse signal of an encoder, calculating the total transmission distance of a conveyor belt in the current order state according to the pulse signal, wherein the encoder is positioned in a motor shaft of the conveyor belt and is used for tracking and calculating the rotation times of the motor shaft on the conveyor belt and converting the rotation times of the motor shaft into the pulse signal;
S3-4, evaluating the production progress of corrugated paper according to the order demand in the order information, the total transmission distance of the transmission belt, the paper accumulation amount of the current overpass and the change schedule, realizing real-time monitoring of the order progress state, analyzing whether the change condition is met, and generating a change signal when the change is determined to be needed;
S3-5, scheduling a bill changing signal to each pit machine and each equipment of a main part on a production line, and sending the bill changing signal to the correct equipment at the correct time to trigger each pit machine and each equipment of the main part to perform bill changing operation, wherein the bill changing operation comprises stopping operation, material changing operation, equipment parameter adjusting operation, mechanical structure changing operation, cleaning operation and quality inspection equipment adjustment;
s3-6, obtaining thickness data of the residual base paper through detection equipment at each pit machine and each equipment at the trunk part, providing real-time data support for production control and material management, and recording the thickness data of the current residual base paper in a database of return information.
Further, an intelligent control system for corrugated paper production executes the intelligent control method for corrugated paper production.
The intelligent control method for corrugated paper production has the beneficial effects that the precision and the efficiency of corrugated paper production are remarkably improved through an automatic technology. The system can automatically generate an accurate cutting path according to the corrugated model, and ensures the size and appearance quality of the finished product. Meanwhile, the cutting parameters of the corrugating machine are automatically set, and the cutting consistency is improved. And the durability and the stability of the finished product are enhanced by determining the solidification degree of the intelligent glue. And by the application of the heat transfer model, the drying process is optimized, and the energy efficiency is improved. The flexibility and accuracy of template matching are improved due to the introduction of image processing technology. The use of the perspective transformation matrix ensures the accurate grabbing of the manipulator. Real-time data analysis and intelligent stacking decision, the stacking efficiency and quality are improved. In addition, the system can also monitor the paper accumulation of the overpass in real time, dynamically adjust the production speed, ensure the accurate tracking of the production progress, reduce the manual intervention and improve the accuracy and efficiency of bill changing. In the whole, the application realizes the automation and the intellectualization of the corrugated board production, reduces the cost and improves the production efficiency and the product quality.
Drawings
FIG. 1 is a flow chart of an intelligent control method for corrugated paper production according to the present invention;
FIG. 2 is a system architecture diagram of an order receiving management module of a toilet intelligent control system according to the present invention;
FIG. 3 is a system architecture diagram of an automated production module of a toilet intelligent control system according to the present invention;
fig. 4 is a system architecture diagram of a production line monitoring module of the toilet intelligent control system of the present invention.
The system comprises a command receiving management module, a command priority setting sub-module, a production planning sub-module, a stock management sub-module, a 14 production resource scheduling sub-module, a2 automatic production module, a 21 corrugated model analysis sub-module, a 22 cutting path planning sub-module, a 23 corrugated machine parameter setting sub-module, a 24 coating mode setting sub-module, a 25 composite roller parameter adjusting sub-module, a 26 glue parameter analysis sub-module, a 27 drying control sub-module, a 28 cutting parameter setting sub-module, a 29 cutting operation control sub-module, a 30 binding line identification sub-module, a 31 printing color code control sub-module, a 32 image area planning sub-module, a 33 image matching sub-module, a 34 mechanical arm navigation sub-module, a 35 overpass stacking state analysis sub-module, a 36 stacking command generating sub-module, a 37 stacking operation control sub-module, a 3 production line monitoring module, a 38 overpass stacking amount calculation sub-module, a 39, a paper feeding speed control sub-module, a 40 total transmission distance calculation sub-module, a 41, a single piece, a 42, a single piece scheduling sub-module, a 43 and a database information evaluation sub-module.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1-4, an intelligent control method for corrugated paper production comprises the following steps:
S1, interfacing with an enterprise resource planning system, receiving and analyzing customer order information, financial data and historical transaction records, and generating and managing a production plan;
s2, starting a production line, and executing production and processing operations of corrugated boards by all pit machine tables and all equipment of a drier part;
and S3, collecting real-time production data through data acquisition interfaces connected with each pit machine and each equipment of the main part, and adjusting the running state of the production line according to the production data, wherein the production data comprises color code detection signals, the paper accumulation amount of the overpass, the stacking state of the overpass, pulse signals and thickness data of the residual base paper.
The step S1 includes:
s1-1, setting the priority of orders according to the delivery date of the orders, the size of the orders, the category of the clients, the profit margin and the historical transaction record, reasonably setting the priority of order processing, and ensuring that key orders are processed in time;
s1-2, calculating the demand of raw materials and auxiliary materials according to the order demands, generating a material demand plan and a resource allocation plan, accurately calculating the required raw materials and auxiliary materials to meet the order demands, and avoiding resource waste or shortage;
and S1-3, retrieving and checking material inventory data recorded in a resource database, and arranging production order sequence and generating a change schedule according to the material inventory data and order priority, wherein the material inventory comprises raw materials, auxiliary materials, semi-finished products and finished products.
S1-4, sending a resource scheduling instruction and a production line feeding instruction to a warehouse feeding system according to a material demand plan and a resource allocation plan;
and S1-5, after receiving a resource scheduling instruction and a production line feeding instruction, the warehouse feeding system schedules and feeds raw materials, auxiliary materials and semi-finished products to corresponding pit machine stations and trunk equipment, ensures that the pit machine stations and the trunk equipment are fed in time, and improves the equipment utilization rate and production output.
The step S2 includes:
S2-1, retrieving and acquiring original paperboard characteristic data from the resource database, determining a corrugated model according to the original paperboard characteristic data and the type of a required corrugated paper finished product in order information, wherein the corrugated model of the corrugated paper finished product which can be produced by an automatic production line comprises a type A, a type B, a type C and a type E, the automatic production line can be flexibly adjusted, various corrugated paper finished products can be produced, and the universality and market adaptability of the production line are improved;
s2-2, generating a detailed cutting path according to the model of the corrugated, and ensuring accurate cutting of the corrugated shape, wherein the cutting path is a complex path of the corrugated shape;
s2-3, setting cutting parameters of the corrugating machine according to the cutting path and the raw paperboard characteristic data, and ensuring cutting quality by accurately controlling the cutting parameters, reducing material waste and improving production efficiency, wherein the cutting parameters comprise cutter parameters, cutting speed parameters, cutting depth, cutting pressure parameters, blade gaps, cutting width, cutting length and cutting mode;
s2-4, under the transmission effect of a conveyor belt, the raw paper board sequentially passes through a preheater and a corrugated roller of a corrugating machine to realize the preheating and the corrugated forming of the raw paper board;
s2-5, setting a coating mode of a coating head of a sizing machine, wherein the coating head adjusts the coating pressure and the coating width when sizing the corrugated paper according to the set coating mode to ensure uniform distribution of glue, and the coating mode comprises dot, linear and spray;
S2-6, retrieving and acquiring facial tissue thickness data from the resource database, adjusting the gap and the composite pressure of a composite roller according to the corrugated model of a corrugated paper finished product and the facial tissue thickness data, improving the flatness and the strength of the double-sided corrugated paper board, and compositing single-sided corrugated paper with another layer of facial tissue to form the double-sided corrugated paper board;
s2-7, determining the type of glue required by processing according to a resource allocation plan, and ensuring that the glue is matched with production requirements;
s2-8, determining the curing degree of the glue according to the type of the required corrugated paper finished product in the order information;
S2-9, calling a preset heat transfer model, according to the type of the glue and the solidification degree of the glue, meeting the specific requirements of different types of corrugated paper finished products, setting input parameters of the model, wherein the input parameters of the model comprise the initial temperature, the thermal conductivity, the specific heat capacity of the glue, the melting point of the glue, the thickness of the corrugated board, the density of the corrugated board and the thermal reaction characteristic of the glue, the heat transfer model is used for simulating the heat transfer process and calculation in the corrugated board, and the model considers the characteristic and the solidification degree of the glue;
S2-10, calculating drying time through a heat transfer model, adjusting heating power of a drying area and conveying speed of a conveyor belt in the drying time based on a model calculation result, adjusting the heating power of the drying area through the model calculation result, optimizing energy use, reducing energy consumption, adjusting the speed of the conveyor belt to match the drying time, ensuring uniform drying of corrugated boards, and avoiding overheating or insufficient drying;
S2-11, analyzing product size requirements and corrugated board characteristic data in current order information, setting cutting parameters of a slitter and a transverse cutter, realizing customized production, and ensuring the accuracy of the size of the cut corrugated board, wherein the cutting parameters comprise cutting speed, pinch roller pressure, and the position and angle of a dividing knife;
S2-12, controlling pinch rollers and slitting knives of a slitter and a transverse cutter to carry out size cutting operation on the corrugated board according to set cutting parameters, so as to ensure the accuracy and consistency of the cutting process;
S2-13, acquiring a corrugated board image captured by a visual sensor, and identifying binding lines in a top trimming area of the corrugated board by using an image processing algorithm, so that the detection accuracy and reliability are improved;
S2-14, controlling a printing ball of a printer to print color codes along a binding line, so as to ensure that each paperboard can be accurately counted;
s2-15, acquiring corrugated board sheet images acquired by a visual sensor at the tail end of the conveyor belt;
S2-16, dividing the corrugated cardboard sheet image into a plurality of subareas, and adjusting the sizes of the subareas according to a preset template image and a matching precision requirement;
S2-17, respectively comparing a square difference matching algorithm with a preset template image for each sub-region, calculating an SSD value, evaluating the similarity degree of the template image and each sub-region according to the calculated SSD value, improving the matching accuracy, when the SSD value is equal to a preset threshold value, successfully matching the sub-region with the template image, taking the coordinates of the sub-region as the coordinates of the matching region, and outputting the successfully matched coordinates of the sub-region, wherein SSD = Σ (T (x, y) -I (x+u, y+v)) 2, wherein T is the template image, I is the target image, (x, y) is the coordinates in the template image, and (u, v) is the displacement of the sub-region relative to the template image in the target image;
s2-18, converting the coordinates of the matching area into coordinates in a manipulator coordinate system by using a perspective transformation matrix, and controlling the manipulator to carry out actual grabbing, thereby improving the accuracy and speed of identification;
S2-19, acquiring position information of the stacks, which is continuously measured by a position sensor, including the horizontal position and the vertical height of the stacks on the overpass, and acquiring weight data of the stacks on the overpass, which are monitored by a weight sensor in real time;
s2-20, analyzing the stacking state of the overpass according to the real-time position sensor data and the weight sensor data, ensuring the real-time update of the stacking state, and generating a stacking instruction according to the analysis result, wherein the stacking instruction comprises a stacking position and a stacking height;
S2-21, controlling the manipulator to execute a stacking instruction to finish stacking operation of stacking the cut corrugated paperboard sheets on the overpass.
The step S3 includes:
s3-1, receiving a color code detection signal of corrugated paper sent by a color code detection device at the overpass, and accumulating and calculating the paper accumulation amount of the overpass according to the color code detection signal, wherein each time the color code detection device detects a new color code, the color code detection device indicates that a new corrugated paper finished product is stacked on the overpass;
S3-2, controlling the conveying speed of the conveyor belt and the paper feeding speed of each pit machine and each equipment of the trunk according to the paper accumulation amount and the stacking state of the overpass, optimizing the production flow, and improving the response speed and the flexibility of the production line;
S3-3, acquiring a pulse signal of an encoder, calculating the total transmission distance of a conveyor belt in the current order state according to the pulse signal, wherein the encoder is positioned in a motor shaft of the conveyor belt and is used for tracking and calculating the rotation times of the motor shaft on the conveyor belt and converting the rotation times of the motor shaft into the pulse signal;
S3-4, evaluating the production progress of corrugated paper according to the order demand in the order information, the total transmission distance of the transmission belt, the paper accumulation amount of the current overpass and the change schedule, realizing real-time monitoring of the order progress state, analyzing whether the change condition is met, and generating a change signal when the change is determined to be needed;
S3-5, scheduling a bill changing signal to each pit machine and each equipment of a main part on a production line, and sending the bill changing signal to the correct equipment at the correct time to trigger each pit machine and each equipment of the main part to perform bill changing operation, wherein the bill changing operation comprises stopping operation, material changing operation, equipment parameter adjusting operation, mechanical structure changing operation, cleaning operation and quality inspection equipment adjustment;
s3-6, obtaining thickness data of the residual base paper through detection equipment at each pit machine and each equipment at the trunk part, providing real-time data support for production control and material management, and recording the thickness data of the current residual base paper in a database of return information.
An intelligent control system for corrugated paper production comprises an order receiving management module 1, an automatic production module 2 and a production line monitoring module 3;
the order receiving management module 1 is used for interfacing with an enterprise resource planning system, receiving and analyzing customer order information, financial data and historical transaction records, and generating and managing a production plan;
the automatic production module 2 is used for starting a production line;
The production line monitoring module 3 is used for collecting real-time production data through data acquisition interfaces connected with each pit machine and each equipment of the main part, and adjusting the running state of the production line according to the production data, wherein the production data comprises color code detection signals, the paper accumulation amount of the overpass, the stacking state of the overpass, pulse signals and the thickness data of the residual base paper;
The order receiving management module 1 comprises an order priority setting sub-module 11, a production planning sub-module 12, an inventory management sub-module 13 and a production resource scheduling sub-module 14;
The order priority setting sub-module 11 is configured to set priority of an order according to an order delivery date, an order size, a client category, a profit margin and a historical transaction record;
The production plan planning submodule 12 is used for calculating the demand of raw materials and auxiliary materials according to the order demands and generating a material demand plan and a resource allocation plan;
The stock management sub-module 13 is used for retrieving and verifying material stock data recorded in a resource database, and arranging production order sequence and generating a trade order schedule according to the material stock data and order priority, wherein the material stock comprises raw materials, auxiliary materials, semi-finished products and finished products;
The production resource scheduling sub-module 14 sends resource scheduling instructions and production line loading instructions to the warehouse loading system according to the material demand plan and the resource allocation plan.
The automated production module 2 comprises a corrugated model analysis sub-module 21, a cutting path planning sub-module 22, a corrugator parameter setting sub-module 23, a coating mode setting sub-module 24, a composite roller parameter adjustment sub-module 25, a glue parameter analysis sub-module 26, a drying control sub-module 27, a cutting parameter setting sub-module 28, a cutting operation control sub-module 29, a binding line identification sub-module 30, a printing color code control sub-module 31, an image region planning sub-module 32, an image matching sub-module 33, a manipulator navigation sub-module 34, an overpass stacking state analysis sub-module 35, a stacking instruction generation sub-module 36 and a stacking operation control sub-module 37;
The corrugated model analysis submodule 21 is used for retrieving and acquiring original paperboard characteristic data from the resource database, determining a corrugated model according to the original paperboard characteristic data and the type of a required corrugated paper finished product in order information, wherein the corrugated model of the corrugated paper finished product which can be produced by an automatic production line comprises A type, B type, C type and E type;
the cutting path planning submodule 22 is configured to generate a detailed cutting path according to a corrugated model, where the cutting path is a complex path with a corrugated shape, and the cutting path planning submodule part includes:
the corrugating machine parameter setting submodule 23 is used for setting cutting parameters of the corrugating machine according to the cutting path and the raw paperboard characteristic data, wherein the cutting parameters comprise cutter parameters, cutting speed parameters, cutting depth, cutting pressure parameters, blade gaps, cutting width, cutting length and cutting mode;
The coating mode setting submodule 24 is used for setting a coating mode of a coating head of the sizing machine, and the coating mode comprises point-shaped, linear and spray;
The composite roller parameter adjustment sub-module 25 is configured to retrieve and obtain facial tissue thickness data from the resource database, and adjust a gap and a composite pressure of the composite roller according to a corrugated model of a corrugated paper product and the facial tissue thickness data;
The glue parameter analysis submodule 26 is used for determining the type of glue required for processing according to a resource allocation plan, determining the solidification degree of the glue according to the type of the required corrugated paper finished product in order information, calling a preset heat transfer model, and setting input parameters of the model according to the type of the glue and the solidification degree of the glue, wherein the input parameters of the model comprise the initial temperature, the heat conductivity, the specific heat capacity, the melting point, the thickness of the corrugated board, the density of the corrugated board and the heat reaction characteristic of the glue, and the heat transfer model is used for simulating the transfer process and calculation of heat in the corrugated board and is simulated by considering the characteristic and the solidification degree of the glue;
Calculating a drying time by a heat transfer model, and the drying control sub-module 27 adjusting a heating power of a drying area and a transfer speed of the conveyor belt in the drying time based on a result of the model calculation;
The cutting parameter setting sub-module 28 analyzes the product size requirement and corrugated board characteristic data in the current order information, sets cutting parameters of the slitter and the crosscut machine, and the cutting parameters comprise cutting speed, pinch roller pressure, and the position and angle of the slitting knife;
The cutting operation control sub-module 29 is used for controlling the pinch rollers and the slitting knives of the slitter and the transverse cutter to perform size cutting operation on the corrugated board according to the set cutting parameters;
The binding line recognition sub-module 30 is used for acquiring the corrugated board image captured by the visual sensor and recognizing the binding line in the top trimming area of the corrugated board by using an image processing algorithm;
The printing color code control sub-module 31 is used for controlling the printing roller of the printer to print color codes along the binding line so as to ensure that each paper board can be accurately counted;
The image region planning submodule 32 is used for acquiring the corrugated cardboard sheet image acquired by the visual sensor, dividing the corrugated cardboard sheet image into a plurality of subregions, and adjusting the size of the subregions according to the preset template image and the matching precision requirement;
The image matching sub-module 33 compares the square deviation matching algorithm with a preset template image, calculates an SSD value, evaluates the similarity degree of the template image and each sub-region according to the calculated SSD value, and when the SSD value is equal to a preset threshold value, the sub-region is successfully matched with the template image, takes the coordinates of the sub-region as the coordinates of the matched region, and outputs the coordinates of the successfully matched sub-region, wherein ssd=Σ (T (x, y) -I (x+u, y+v)) 2, wherein T is the template image, I is the target image, (x, y) is the coordinates in the template image, and (u, v) is the displacement of the sub-region in the target image relative to the template image;
the manipulator navigation sub-module 34 converts the coordinates of the matching area into coordinates in a manipulator coordinate system by using a perspective transformation matrix, controls the manipulator to perform actual grabbing, and improves the accuracy and speed of identification;
The bridge stacking state analysis submodule 35 is used for acquiring the position information of the stacks, which is continuously measured by the position sensor, including the horizontal position and the vertical height of the stacks on the bridge, and acquiring the weight data of the stacks on the bridge monitored by the weight sensor in real time;
The stacking instruction generating sub-module 36 is configured to generate a stacking instruction according to the analysis result, where the stacking instruction includes a stacking position and a stacking height;
The stacking operation control sub-module 37 is used for controlling the manipulator to execute a stacking instruction to complete the stacking operation of stacking the cut corrugated cardboard sheets on the overpass.
The production line monitoring module 3 comprises an overpass paper accumulation calculation sub-module 38, a paper feeding speed control sub-module 39, a total transmission distance calculation sub-module 40, a single-change condition evaluation sub-module 41, a single-change signal scheduling sub-module 42 and a database information recording sub-module 43,
The overpass paper accumulation amount calculation operator module 38 is configured to receive the color code detection signal of corrugated paper sent by the color code detection device at the overpass, and accumulate and calculate the paper accumulation amount of the overpass according to the color code detection signal, where each time the color code detection device detects a new color code, it indicates that a new corrugated paper product is stacked on the overpass;
The paper feeding speed control sub-module 39 is used for controlling the conveying speed of the conveying belt and the paper feeding speed of each pit machine and each device of the drier according to the paper accumulation amount and the stacking state of the overpass;
the total transmission distance calculation sub-module 40 is configured to obtain a pulse signal of an encoder, calculate a total transmission distance of the conveyor belt in a current order state according to the pulse signal, and the encoder is located inside a motor shaft of the conveyor belt, and is configured to track and calculate a rotation number of the motor shaft on the conveyor belt, and convert the rotation number of the motor shaft into the pulse signal;
The sub module 41 is configured to evaluate a production progress of corrugated paper according to an order demand in order information, a total transmission distance of a transmission belt, a paper accumulation amount of a current overpass, and a list changing schedule, analyze whether a list changing condition is satisfied, and generate a list changing signal when determining that a list needs to be changed;
The bill change signal scheduling sub-module 42 is configured to schedule a bill change signal to each pit machine and each equipment on the production line, ensure that the signal is sent to the correct equipment at the correct time, and trigger each pit machine and each equipment on the main part to perform a bill change operation, where the bill change operation includes a shutdown operation, a material replacement operation, an equipment parameter adjustment operation, a mechanical structure replacement operation, a cleaning operation and a quality inspection equipment adjustment;
the database-returning information recording sub-module 43 is configured to obtain thickness data of the detected remaining base paper by the detection device, and record the thickness data of the current remaining base paper in the database-returning information database.
The present invention and its embodiments have been described above with no limitation, and the embodiments of the present invention are shown in the drawings, and the actual structure is not limited thereto, so that those skilled in the art who have the ordinary skill in the art who have the benefit of the present invention will not creatively design similar structures and examples to those of the present invention without departing from the gist of the present invention.

Claims (4)

1.一种瓦楞纸生产智能控制方法,其特征在于,包括以下步骤:1. A method for intelligent control of corrugated paper production, characterized in that it comprises the following steps: S1:与企业资源规划系统对接,接收并解析客户订单信息、财务数据和历史交易记录,生成并管理生产计划;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:启动生产线,各坑机台及干部各设备执行瓦楞纸板的生产加工操作;S2: Start the production line, and each pit machine and cadre equipment will perform the production and processing operations of corrugated cardboard; S3:通过与各坑机台及干部各设备相连接的数据采集接口,收集实时的生产数据,根据生产数据调节生产线的运行状态;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; 所述步骤S2包括:The step S2 comprises: S2-1:从资源数据库中检索并获取原纸板特性数据,根据原纸板特性数据和订单信息中的所需瓦楞纸成品类型,确定瓦楞型号,自动化生产线能够生产的瓦楞纸成品的瓦楞型号包括A型、B型、C型和E型;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:根据瓦楞型号生成详细的切割路径,所述切割路径为瓦楞形状的复杂路径;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:根据切割路径和原纸板特性数据,设定瓦楞机的切割参数;S2-3: Set the cutting parameters of the corrugator according to the cutting path and the original paperboard characteristic data; S2-4:在传送带传动作用下,原纸板依次通过预热器和瓦楞机的楞型辊,实现原纸板的预热和楞型成型;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:设置上胶机涂布头的涂布模式,涂布头根据设置的涂布模式,调节在瓦楞纸上上胶时的涂布压力和涂布宽度;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:从所述资源数据库中检索并获取面纸厚度数据,根据瓦楞纸成品的瓦楞型号和面纸的厚度数据,调整复合辊的间隙和复合压力,将单面瓦楞纸与另一层面纸复合在一起,形成双面瓦楞纸板;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:根据资源分配计划,确定加工所需的胶水类型;S2-7: Determine the type of glue required for processing based on the resource allocation plan; S2-8:根据订单信息中的所需瓦楞纸成品类型,确定胶水的固化程度;S2-8: Determine the curing degree of the glue according to the type of corrugated paper product required in the order information; S2-9:调用预设热量传递模型,根据胶水类型和胶水的固化程度,设定模型的输入参数;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:通过热量传递模型计算烘干时间,基于模型计算结果调节烘干区域的加热功率和传送带在烘干时间内的传送速度;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:分析当前订单信息中的产品尺寸需求和瓦楞纸板特性数据,设定纵切机和横切机的切割参数;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:控制纵切机和横切机的压轮及分切刀按照设定切割参数对瓦楞纸板进行尺寸切割操作;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:获取视觉传感器捕获的瓦楞纸板图像,并使用图像处理算法来识别瓦楞纸板的‌顶头切边区中的装订线;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:控制印刷机的印刷滚球在,沿着装订线印刷色标;S2-14: Control the printing ball of the printing press to print the color mark along the binding line; S2-15:在传送带末端,获取视觉传感器采集的瓦楞纸板片图像;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:将瓦楞纸板片图像划分为多个子区域,根据预设模板图像和匹配精度要求调整子区域的大小;S2-16: Divide the corrugated cardboard sheet 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:对于每个子区域,分别应用平方差匹配算法与预设模板图像进行比较, 计算SSD 值,根据计算得到的 SSD 值,评估模板图像与各个子区域的相似程度,当 SSD 值等于预设阈值时,子区域与模板图像匹配成功,将子区域的坐标作为匹配区域的坐标,输出匹配成功的子区域的坐标,其中,SSD = ΣΣ(T (x,y) - I (x + u,y + v))²,其中 T 是模板图像,I 是目标图像,(x,y) 是模板图像中的坐标,(u,v) 是目标图像中子区域相对于模板图像的位移;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:使用透视变换矩阵将匹配区域的坐标转换为机械手坐标系中的坐标,控制机械手进行实际抓取;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:获取位置传感器不断测量的堆垛的位置信息和获取重量传感器实时监测的天桥上的堆垛的重量数据;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:根据实时位置传感器数据和重量传感器数据,分析天桥堆垛状态,根据分析结果生成堆垛指令;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:控制机械手执行堆垛指令,完成将切割好的瓦楞纸板片堆垛于天桥上的堆垛操作。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.根据权利要求1所述的一种瓦楞纸生产智能控制方法,其特征在于,所述步骤S1包括:2. The method for intelligent control of corrugated paper production according to claim 1, wherein step S1 comprises: S1-1:根据订单交货日期、订单大小、客户类别、利润率和历史交易记录,设置订单的优先级;S1-1: Set order priorities based on order delivery date, order size, customer category, profit margin, and historical transaction records; S1-2:根据订单需求,计算原材料和辅助材料的需求量,生成物料需求计划及资源分配计划;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:检索并核验资源数据库中记录的物料库存数据,根据物料库存数据和订单优先级,安排生产订单顺序和生成换单时间表,所述物料库存包括原材料、辅助材料、半成品和成品;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:根据物料需求计划及资源分配计划向仓库上料系统发送资源调度指令和生产线上料指令;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:仓库上料系统接收到资源调度指令和生产线上料指令后,将原材料、辅助材料和半成品调度并上料到对应坑机台及干部设备。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.根据权利要求2所述的一种瓦楞纸生产智能控制方法,其特征在于,所述步骤S3包括:3. The method for intelligently controlling corrugated paper production according to claim 2, wherein step S3 comprises: S3-1:接收来自天桥处的色标检测装置发送的瓦楞纸的色标检测信号,根据色标检测信号,累积计算天桥的积纸量,每当色标检测装置检测到一个新色标时,表示一张新的瓦楞纸成品被堆垛于天桥上;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:根据天桥的积纸量和堆垛状态控制传送带传送速度和各坑机台及干部各设备的上纸速度;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:获取编码器的脉冲信号,根据脉冲信号计算当前订单状态下,传送带的总传送距离,所述编码器位于所述传送带的电机轴内部,用于跟踪并计算传送带上电机轴的旋转次数,将电机轴的旋转次数转换为脉冲信号;S3-3: Obtaining a pulse signal of an encoder, and calculating the total transmission 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:根据订单信息中的订单需求量、传送带的总传送距离、当前天桥的积纸量和换单时间表,评估瓦楞纸的生产进度,分析是否满足换单条件,在确定需要换单时,生成换单信号;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:将换单信号调度到生产线上的各坑机台及干部各设备,触发各坑机台及干部各设备进行换单操作;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:通过在各坑机台及干部各设备处的检测设备,获取剩余原纸的厚度数据,将当前剩余原纸的厚度数据记录在返库信息数据库中。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. 4.一种瓦楞纸生产智能控制系统,其特征在于,执行如权利要求1-3任一项所述的一种瓦楞纸生产智能控制方法。4. An intelligent control system for corrugated paper production, characterized in that it executes an intelligent control method for corrugated paper production as described in any one of claims 1-3.
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