A multi-model integration method and system for aluminum profile extrusion production

Abstract

The application discloses a multi-model integration method and system for aluminum profile extrusion production. The method comprises the following steps: acquiring production process data related to an aluminum extrusion production process, and combining the production process data to perform real-time full-factor decomposition processing on an aluminum extrusion production line; constructing a digital twin model corresponding to the aluminum extrusion production line according to the data after the full-factor decomposition processing; sequentially associating, combining and integrating each type of model to generate an aluminum extrusion production system model based on digital twin driving in real time, and a system, a platform and a storage medium corresponding to the method; dynamic data and method models, including data interface information models and algorithm models, can be constructed; finally, various types of models are associated, combined and integrated to form a complete, full-factor interconnected, multi-level and high-fidelity extrusion production line system model, thereby providing model support for aluminum extrusion production virtual simulation based on digital twinning.

Description

Technical Field

[0001] This invention belongs to the field of aluminum material production and processing technology, specifically relating to a multi-model integrated method and system for aluminum profile extrusion production. Background Technology

[0002] Currently, aluminum is the second most used metallic material after steel, with aluminum profiles widely used in industries such as rail transportation, aerospace, automobiles, shipbuilding, and building structures. Extrusion technology is a key technology in aluminum profile production, and simulation of the extrusion process is crucial for supporting efficient and high-quality extrusion production. Establishing an accurate system model is a prerequisite for conducting virtual simulation of the production process.

[0003] Digital twin technology is a virtual entity created in a digital way to simulate the behavior of objects in the real environment. It is an important method and means to realize the integration and interconnection of information data in the information space and physical space, and can effectively support simulation applications such as analysis and prediction.

[0004] Existing modeling methods mainly focus on multi-domain mechanism modeling, multi-dimensional and multi-scale data modeling, and manufacturing resource modeling. Taking the research on digital twin stamping production lines as an example, it uses ontology models for multi-scale digital description, but does not address the data interface models and dynamic method models of the models. In actual production, due to the diverse types of manufacturing resources, different interface protocols, and different control methods in manufacturing prototype systems, there is a lack of complete and unified digital twin model integration to form a manufacturing production prototype system. Simply considering virtual body modeling at the physical level fails to achieve the interaction and integration of physical space and information space.

[0005] Therefore, in view of the above-mentioned technical problems and defects, there is an urgent need to design and develop a multi-model integration method, system, platform and storage medium for aluminum profile extrusion production. Summary of the Invention

[0006] To overcome the shortcomings and difficulties of the existing technology, the purpose of this invention is to provide a multi-model integration method, system, platform and storage medium for aluminum profile extrusion production, which can form a complete, fully interconnected, multi-level, high-fidelity extrusion production line system model, providing model support for virtual simulation of aluminum extrusion production based on digital twins.

[0007] The first objective of this invention is to provide a multi-model integration method for aluminum profile extrusion production; the second objective of this invention is to provide a multi-model integration system for aluminum profile extrusion production; the third objective of this invention is to provide a multi-model integration platform for aluminum profile extrusion production; and the fourth objective of this invention is to provide a computer-readable storage medium.

[0008] The first objective of this invention is achieved as follows: the method comprises the following steps:

[0009] Acquire production process data related to the aluminum extrusion production process, and combine the production process data to decompose and process all elements of the aluminum extrusion production line in real time.

[0010] Based on the data after full-element decomposition processing, a digital twin model corresponding to the aluminum extrusion production line is constructed;

[0011] By sequentially associating, combining, and integrating various types of models, a digital twin-driven aluminum extrusion production system model is generated and established in real time.

[0012] Furthermore, before acquiring production process data related to the aluminum extrusion production process and combining the production process data to perform real-time decomposition and processing of all elements of the aluminum extrusion production line, the process further includes:

[0013] The aluminum rods are preheated and the aluminum profiles are extruded in sequence, while the aluminum rods are straightened, corrected and sawn in real time.

[0014] Furthermore, the step of acquiring production process data related to the aluminum extrusion production process, and combining the production process data to perform real-time decomposition and processing of all elements of the aluminum extrusion production line, also includes:

[0015] Acquire extrusion production process data, and analyze all-element data on the production line in real time based on the extrusion production process data; wherein, the all-element data includes: all elements of production line operators, all elements of equipment, and all elements of the extrusion production environment.

[0016] Furthermore, the step of constructing a digital twin model corresponding to the aluminum extrusion production line based on the data after full-element decomposition processing also includes:

[0017] Generate and acquire dimensional data corresponding to the extrusion process; wherein, the dimensional data includes: geometric dimensional data of the extrusion process, behavioral dimensional data of the extrusion process, and technological dimensional data of the extrusion process;

[0018] Based on the dimensional data, construct multi-dimensional digital twin models respectively.

[0019] Furthermore, the step of constructing a digital twin model corresponding to the aluminum extrusion production line based on the data after full-element decomposition processing also includes:

[0020] Based on the data after the full-element decomposition process, a data interface information model and a dynamic method model are constructed respectively.

[0021] Furthermore, the step of sequentially associating, combining, and integrating various types of models to generate and establish a digital twin-driven aluminum extrusion production system model in real time also includes:

[0022] Analyze the digital architecture and information flow data, and perform abstract modeling of the equipment;

[0023] Based on the data processed by abstract modeling, a data interface information model of the extrusion equipment is constructed in real time; wherein, the data interface information model includes: equipment type model, equipment status type model and monitoring unit type model;

[0024] Generate a fully interconnected, multi-level extrusion production line system model with a specific level of fidelity.

[0025] The second objective of the present invention is achieved as follows: the system comprises:

[0026] The acquisition and generation unit is used to acquire production process data related to the aluminum extrusion production process, and combine the production process data to decompose and process all elements of the aluminum extrusion production line in real time.

[0027] The first building unit is used to construct a digital twin model corresponding to the aluminum extrusion production line based on the data after full-element decomposition and processing.

[0028] The second building unit sequentially associates, combines, and integrates various types of models to generate and establish a digital twin-driven aluminum extrusion production system model in real time.

[0029] Furthermore, the system also includes:

[0030] The first processing unit preheats the aluminum rods and extrudes the aluminum profiles in sequence, and straightens, corrects and saws the aluminum rods in real time.

[0031] And / or, the acquisition and generation unit further includes:

[0032] The first analysis and processing module is used to acquire extrusion production process data and analyze the full-element data on the production line in real time based on the extrusion production process data; wherein, the full-element data includes: full elements of production line operators, full elements of equipment, and full elements of the extrusion production environment;

[0033] And / or, the first building unit further includes:

[0034] The first generation module is used to generate and acquire dimensional data corresponding to the extrusion process; wherein, the dimensional data includes: geometric dimensional data of the extrusion process, behavioral dimensional data of the extrusion process, and process dimensional data of the extrusion process;

[0035] The first construction module is used to construct multi-dimensional digital twin models based on the dimensional data.

[0036] The second construction module is used to construct the data interface information model and the dynamic method model based on the data after the full-element decomposition and processing.

[0037] And / or, the second building unit further includes:

[0038] The second analysis and processing module is used to analyze the digital architecture and information flow data, and to perform abstract modeling of the equipment.

[0039] The third construction module is used to construct the data interface information model of the extrusion equipment in real time based on the data after abstract modeling processing; wherein, the data interface information model includes: equipment type model, equipment status type model and monitoring unit type model;

[0040] The second generation module is used to generate an extrusion production line system model that is fully interconnected, multi-level, and has a specific level of fidelity.

[0041] The third objective of this invention is achieved as follows: it includes a processor, a memory, and a multi-model integration platform control program for aluminum profile extrusion production; wherein the processor executes the multi-model integration platform control program for aluminum profile extrusion production, the multi-model integration platform control program for aluminum profile extrusion production is stored in the memory, and the multi-model integration platform control program for aluminum profile extrusion production implements the multi-model integration method for aluminum profile extrusion production.

[0042] The fourth objective of this invention is achieved as follows: the computer-readable storage medium stores a multi-model integration platform control program for aluminum profile extrusion production, and the multi-model integration platform control program for aluminum profile extrusion production implements the multi-model integration method for aluminum profile extrusion production.

[0043] This invention acquires production process data related to the aluminum extrusion production process through a method, and combines the production process data to decompose and process all elements of the aluminum extrusion production line in real time. Based on the data after the decomposition and processing of all elements, a digital twin model corresponding to the aluminum extrusion production line is constructed. Various types of models are sequentially associated, combined, and integrated to generate and establish an aluminum extrusion production system model based on digital twin driving in real time, as well as the system, platform, and storage medium corresponding to the method. This realizes the construction of digital twin single-unit models of various physical entities in the aluminum profile extrusion production process from multiple dimensions based on digital twin driving. On this basis, dynamic data and method models are further constructed, including data interface information models and algorithm models. Finally, various types of models are associated, combined, and integrated to form a complete, fully interconnected, multi-level, and high-fidelity extrusion production line system model, providing model support for virtual simulation of aluminum extrusion production based on digital twin. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 This is a schematic diagram of a multi-model integration method for aluminum profile extrusion production according to the present invention;

[0046] Figure 2 This is a schematic diagram of an example of a multi-model integration method for aluminum profile extrusion production according to the present invention;

[0047] Figure 3 This is a schematic diagram of the aluminum profile extrusion production process of a multi-model integration method for aluminum profile extrusion production according to the present invention.

[0048] Figure 4 This is a schematic diagram of the equipment type model of a multi-model integration method for aluminum profile extrusion production according to the present invention;

[0049] Figure 5 This is a schematic diagram of the equipment state type model of a multi-model integration method for aluminum profile extrusion production according to the present invention;

[0050] Figure 6 This is a schematic diagram of a monitoring unit type model for a multi-model integration method for aluminum profile extrusion production according to the present invention;

[0051] Figure 7 This is a schematic diagram of a multi-model integrated system architecture for aluminum profile extrusion production according to the present invention;

[0052] Figure 8 This is a schematic diagram of a multi-model integrated platform architecture for aluminum profile extrusion production according to the present invention;

[0053] Figure 9 This is a schematic diagram of a computer-readable storage medium architecture in one embodiment of the present invention;

[0054] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0055] To facilitate a clearer understanding of the objectives, technical solutions, and advantages of this invention, the invention will be further described below in conjunction with the accompanying drawings and specific embodiments. Those skilled in the art can easily understand other advantages and effects of this invention from the content disclosed in this specification.

[0056] This invention can also be implemented or applied through other different specific examples, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the spirit of this invention.

[0057] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0058] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Secondly, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0059] Preferably, the multi-model integration method for aluminum profile extrusion production of the present invention is applied in one or more terminals or servers. The terminal is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0060] The terminal can be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal can interact with the customer via a keyboard, mouse, remote control, touchpad, or voice control device.

[0061] This invention provides a multi-model integration method, system, platform, and storage medium for aluminum profile extrusion production.

[0062] like Figure 1 The diagram shown is a flowchart of a multi-model integration method for aluminum profile extrusion production provided in an embodiment of the present invention.

[0063] In this embodiment, the multi-model integration method for aluminum profile extrusion production can be applied to terminals or fixed terminals with display functions. The terminals are not limited to personal computers, smartphones, tablets, desktop computers or all-in-one computers with cameras, etc.

[0064] The multi-model integration method for aluminum profile extrusion production can also be applied to a hardware environment consisting of a terminal and a server connected to the terminal via a network. The network includes, but is not limited to, a wide area network (WAN), a metropolitan area network (MAN), or a local area network (LAN). The multi-model integration method for aluminum profile extrusion production in this embodiment can be executed by a server, by a terminal, or by both a server and a terminal.

[0065] For example, for a multi-model integration terminal requiring aluminum profile extrusion production, the multi-model integration function for aluminum profile extrusion production provided by the method of this invention can be directly integrated onto the terminal, or a client for implementing the method of this invention can be installed. Alternatively, the method provided by this invention can also run on servers or other devices in the form of a Software Development Kit (SDK), providing an interface for the multi-model integration function for aluminum profile extrusion production in the form of an SDK. Terminals or other devices can then implement the multi-model integration function for aluminum profile extrusion production through the provided interface. The invention will be further described below with reference to the accompanying drawings.

[0066] like Figure 1-9 As shown, this invention provides a multi-model integration method for aluminum profile extrusion production, the method comprising the following steps:

[0067] S1. Obtain production process data related to the aluminum extrusion production process, and combine the production process data to decompose and process all elements of the aluminum extrusion production line in real time.

[0068] S2. Based on the data after full-element decomposition processing, construct a digital twin model corresponding to the aluminum extrusion production line;

[0069] S3 sequentially associates, combines, and integrates various types of models to generate and establish a digital twin-driven aluminum extrusion production system model in real time.

[0070] Before acquiring production process data related to the aluminum extrusion production process and, in conjunction with this production process data, performing real-time decomposition and processing of all elements of the aluminum extrusion production line, the process further includes:

[0071] S01. The aluminum rod is preheated and the aluminum profile is extruded in sequence, and the aluminum rod is straightened, corrected and sawn in real time.

[0072] The acquisition of production process data related to the aluminum extrusion production process, and the real-time decomposition and processing of all elements of the aluminum extrusion production line in conjunction with the production process data, further includes:

[0073] S11. Obtain extrusion production process data, and analyze the full-element data on the production line in real time based on the extrusion production process data; wherein, the full-element data includes: full elements of production line operators, full elements of equipment, and full elements of the extrusion production environment.

[0074] The process of constructing a digital twin model corresponding to the aluminum extrusion production line based on the data after full-element decomposition also includes:

[0075] S21. Generate and acquire dimensional data corresponding to the extrusion process; wherein, the dimensional data includes: geometric dimensional data of the extrusion process, behavioral dimensional data of the extrusion process, and process dimensional data of the extrusion process;

[0076] S22. Construct multi-dimensional digital twin models based on the dimensional data.

[0077] The process of constructing a digital twin model corresponding to the aluminum extrusion production line based on the data after full-element decomposition also includes:

[0078] S23. Based on the data after the full-element decomposition process, construct the data interface information model and the dynamic method model respectively.

[0079] The sequential association, combination, and integration of various models to generate a real-time model of an aluminum extrusion production system driven by a digital twin also includes:

[0080] S31. Analyze the digital architecture and information flow data, and perform abstract modeling of the equipment;

[0081] S32. Based on the data processed by abstract modeling, construct the data interface information model of the extrusion equipment in real time; wherein, the data interface information model includes: equipment type model, equipment status type model and monitoring unit type model;

[0082] S33. Generate a fully interconnected, multi-level extrusion production line system model with a specific level of fidelity.

[0083] Specifically, in this embodiment of the invention, the aluminum profile extrusion production process is decomposed into all elements of the aluminum profile extrusion production line. Based on digital twin technology, digital twin models of various physical entities involved in the extrusion process are constructed from multiple dimensions. On this basis, dynamic data and method models, including data interface information models and algorithm models, are further constructed. Finally, these various models are associated, combined, and integrated to form a fully interconnected, multi-level, high-fidelity extrusion production line system model. Specifically, as shown below... Figure 2 As shown.

[0084] Extrusion production process such as Figure 3 As shown, the aluminum rod is preheated to the normal production temperature—the die is preheated to the normal production temperature—the die is placed into the die base of the extruder, the aluminum rod is placed into the raw material inlet, and the extrusion process begins—interruption—straightening—cut to length—the generated aluminum profile is framed—cold working—artificial aging—to obtain a semi-finished product with standard hardness and dimensions.

[0085] Based on the extrusion production process, we analyze all elements on the production line, including people (production line operators), machines (extrusion presses, mold furnaces, aging furnaces, etc.), and the environment (extrusion production environment). We decompose these elements and establish a digital twin model of the extrusion production line from multiple dimensions such as geometry, process, and behavior.

[0086] Taking the extruder, a core piece of equipment in the extrusion process, as an example, a digital twin virtual model is created based on digital twin technology. The physical model of the extruder is constructed from multiple dimensions such as geometry, behavior, and process, realizing a complete mapping from physical entity to virtual space.

[0087] (1) The extruder consists of an extrusion system, a transmission system, a heating and cooling system, a feeding system, a die head, a shaping device, a traction device, a cutting device, a coiling device, a stacking device, a stretching device, and a control system. According to the actual dimensions of each part, three-dimensional modeling software such as Solidworks, UG, Creo / ProE is used to draw three-dimensional graphics.

[0088] (2) Based on the behavior and state of each component in the extruder, construct a behavioral model of the equipment:

[0089] The ingot holding cylinder moves forward—the extrusion cylinder moves forward to the aluminum rod—the extrusion rod moves forward to the aluminum rod—the extrusion rod pushes the material out—the ingot holding cylinder retracts and exhausts air—the main cylinder moves forward to extrude—the material is extruded and discharged;

[0090] (3) Based on process knowledge and resources, establish process rule models according to the extrusion production process, such as: aluminum rods: rod hanging and rod adding rules; set the heating temperature of the rod furnace, and set different standard temperatures according to different types of aluminum rods, etc.

[0091] Mold: Setting the mold heating time in the furnace; determining the mold assembly sequence; mold loading instructions; mold heating temperature settings, etc.

[0092] Extrusion: Temperature range of the outer casing and extrusion cylinder; extrusion temperature; extrusion speed; extrusion operation standards; temperature measurement of extruded profiles; cooling methods, etc.

[0093] Auxiliary processes: temperature threshold for stretching and straightening; bevel angle for fixed-length sawing, etc.

[0094] To ensure high-quality extrusion production, it is necessary to monitor the status, methods, and properties of the entire aluminum profile extrusion process, which also serves as the data source for simulation optimization. Therefore, based on the established digital twin model of the extrusion production line, its digital architecture and information flow are analyzed, the equipment is abstractly modeled, and a complete and unified data interface information model for the extrusion equipment is constructed, including but not limited to equipment type models, equipment status type models, and monitoring unit type models. Real-time data, historical data, alarm data, etc., are developed into planned information interfaces to form a unified service interface for the equipment to the outside world.

[0095] (1) Equipment type model

[0096] The equipment type model is the basic set of static attributes of the equipment, reflecting the static attributes of the extrusion production equipment such as basic parameters, type, and system attributes.

[0097] Taking the type model of an extruder as an example, such as Figure 4 As shown, the information includes attributes such as equipment type, equipment number, total weight, total power, external dimensions, plunger diameter, discharge port size, bar stock specifications, main and auxiliary cylinder specifications, and operating pressure.

[0098] (2) Equipment status type model, such as Figure 5 As shown.

[0099] The equipment status type model is a dynamic reflection of the equipment's start-up and stop states, including the start-up method, stop-up method, and description of the equipment's operating conditions.

[0100] (3) Monitoring Unit Type Model

[0101] The equipment monitoring unit type model is a set of attributes for the aluminum extrusion production process, reflecting process information such as state parameters in the actual production process. It describes the entire aluminum extrusion production operation process through the change attributes of core parameters such as temperature, speed, and pressure.

[0102] Taking an extruder as an example, as shown in the attached document. Figure 6 As shown, it includes temperature monitoring, speed monitoring, and pressure monitoring units. Each unit includes attributes such as monitoring unit type, monitoring unit number, data acquisition location, data acquisition interval, reading, and unit of measurement.

[0103] Based on this, the model is further instantiated. The temperature monitoring unit includes mold temperature, outlet temperature, quenching temperature, ingot cylinder preheating temperature, and processing temperature; the speed monitoring unit includes feeding speed, discharging speed, and main cylinder speed; and the pressure monitoring unit includes main cylinder pressure.

[0104] In the aluminum extrusion production process, numerous factors influence product quality, such as isothermal and constant-speed extrusion. Therefore, to ensure the quality of aluminum profile products, an algorithmic model is further constructed based on the data model. For key parameters in the aluminum extrusion process, such as die temperature, master cylinder extrusion speed, profile exit temperature, and billet temperature, advanced algorithms are used to optimize and control these parameters, ensuring the consistency of extruded product quality. This algorithmic model includes, but is not limited to, advanced algorithms such as feedback control, fuzzy control, and neural networks.

[0105] Based on the establishment of unit-level twin models of aluminum extrusion equipment, equipment data information models, and algorithm models, the spatial adjacency relationships between various equipment models are sorted out, and the correlations such as data flow, material flow, and process constraints between them are analyzed. Various virtual entities and their correlations in the aluminum profile extrusion manufacturing process are integrated, as well as the corresponding software and hardware integration configuration models. Finally, various types of models are associated, combined, and integrated to form a fully interconnected, multi-level, and high-fidelity extrusion production line system model.

[0106] To achieve the above objectives, the present invention also provides a multi-model integrated system for aluminum profile extrusion production, such as... Figure 7 As shown, the system specifically includes:

[0107] The acquisition and generation unit is used to acquire production process data related to the aluminum extrusion production process, and combine the production process data to decompose and process all elements of the aluminum extrusion production line in real time.

[0108] The first building unit is used to construct a digital twin model corresponding to the aluminum extrusion production line based on the data after full-element decomposition and processing.

[0109] The second building unit sequentially associates, combines, and integrates various types of models to generate and establish a digital twin-driven aluminum extrusion production system model in real time.

[0110] The system also includes:

[0111] The first processing unit preheats the aluminum rods and extrudes the aluminum profiles in sequence, and straightens, corrects and saws the aluminum rods in real time.

[0112] And / or, the acquisition and generation unit further includes:

[0113] The first analysis and processing module is used to acquire extrusion production process data and analyze the full-element data on the production line in real time based on the extrusion production process data; wherein, the full-element data includes: full elements of production line operators, full elements of equipment, and full elements of the extrusion production environment;

[0114] And / or, the first building unit further includes:

[0115] The first generation module is used to generate and acquire dimensional data corresponding to the extrusion process; wherein, the dimensional data includes: geometric dimensional data of the extrusion process, behavioral dimensional data of the extrusion process, and process dimensional data of the extrusion process;

[0116] The first construction module is used to construct multi-dimensional digital twin models based on the dimensional data.

[0117] The second construction module is used to construct the data interface information model and the dynamic method model based on the data after the full-element decomposition and processing.

[0118] And / or, the second building unit further includes:

[0119] The second analysis and processing module is used to analyze the digital architecture and information flow data, and to perform abstract modeling of the equipment.

[0120] The third construction module is used to construct the data interface information model of the extrusion equipment in real time based on the data after abstract modeling processing; wherein, the data interface information model includes: equipment type model, equipment status type model and monitoring unit type model;

[0121] The second generation module is used to generate an extrusion production line system model that is fully interconnected, multi-level, and has a specific level of fidelity.

[0122] In the system solution embodiment of the present invention, the method steps involved in the multi-model integration for aluminum profile extrusion production are as follows:

[0123] S1. Obtain production process data related to the aluminum extrusion production process, and combine the production process data to decompose and process all elements of the aluminum extrusion production line in real time.

[0124] S2. Based on the data after full-element decomposition processing, construct a digital twin model corresponding to the aluminum extrusion production line;

[0125] S3 sequentially associates, combines, and integrates various types of models to generate and establish a digital twin-driven aluminum extrusion production system model in real time.

[0126] The specific details have been described above. In other words, the functional modules in the system are used to implement the steps or sub-steps in the above method embodiments, and will not be repeated here.

[0127] To achieve the above objectives, the present invention also provides a multi-model integrated platform for aluminum profile extrusion production, such as... Figure 8 As shown, it includes a processor, memory, and a multi-model integrated platform control program for aluminum profile extrusion production;

[0128] The processor executes the multi-model integration platform control program for aluminum profile extrusion production. This control program is stored in the memory. The multi-model integration platform control program for aluminum profile extrusion production implements the steps of the multi-model integration method for aluminum profile extrusion production, for example:

[0129] S1. Obtain production process data related to the aluminum extrusion production process, and combine the production process data to decompose and process all elements of the aluminum extrusion production line in real time.

[0130] S2. Based on the data after full-element decomposition processing, construct a digital twin model corresponding to the aluminum extrusion production line;

[0131] S3 sequentially associates, combines, and integrates various types of models to generate and establish a digital twin-driven aluminum extrusion production system model in real time.

[0132] The specific details of the steps have been explained above and will not be repeated here.

[0133] In this embodiment of the invention, the built-in processor of the multi-model integration platform for aluminum profile extrusion production can be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor connects to various components using various interfaces and lines, and executes programs or units stored in memory, as well as calls data stored in memory, to perform various functions of multi-model integration for aluminum profile extrusion production and process data.

[0134] The memory is used to store program code and various data. It is installed in a multi-model integrated platform for aluminum profile extrusion production and enables high-speed and automatic access to programs or data during operation.

[0135] The memory includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0136] To achieve the above objectives, the present invention also provides a computer-readable storage medium, such as... Figure 9 As shown, the computer-readable storage medium stores a multi-model integration platform control program for aluminum profile extrusion production. This multi-model integration platform control program for aluminum profile extrusion production implements the steps of the multi-model integration method for aluminum profile extrusion production, for example:

[0137] S1. Obtain production process data related to the aluminum extrusion production process, and combine the production process data to decompose and process all elements of the aluminum extrusion production line in real time.

[0138] S2. Based on the data after full-element decomposition processing, construct a digital twin model corresponding to the aluminum extrusion production line;

[0139] S3 sequentially associates, combines, and integrates various types of models to generate and establish a digital twin-driven aluminum extrusion production system model in real time.

[0140] The specific details of the steps have been explained above and will not be repeated here.

[0141] In the description of embodiments of the present invention, it should be noted that any process or method description in the flowcharts or otherwise described herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the present invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order according to the functions involved, as should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0142] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processing module, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, a “computer-readable medium” can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM).

[0143] Furthermore, the computer-readable medium can even be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0144] In this embodiment of the invention, to achieve the above objective, the invention also provides a chip system, the chip system including at least one processor, wherein when program instructions are executed in the at least one processor, the chip system performs the steps of the multi-model integration method for aluminum profile extrusion production, for example:

[0145] S1. Obtain production process data related to the aluminum extrusion production process, and combine the production process data to decompose and process all elements of the aluminum extrusion production line in real time.

[0146] S2. Based on the data after full-element decomposition processing, construct a digital twin model corresponding to the aluminum extrusion production line;

[0147] S3 sequentially associates, combines, and integrates various types of models to generate and establish a digital twin-driven aluminum extrusion production system model in real time.

[0148] The specific details of the steps have been explained above and will not be repeated here.

[0149] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0150] This invention acquires production process data related to the aluminum extrusion production process through a method, and combines the production process data to decompose and process all elements of the aluminum extrusion production line in real time. Based on the data after the decomposition and processing of all elements, a digital twin model corresponding to the aluminum extrusion production line is constructed. Various types of models are sequentially associated, combined, and integrated to generate and establish an aluminum extrusion production system model based on digital twin driving in real time, as well as the system, platform, and storage medium corresponding to the method. This realizes the construction of digital twin single-unit models of various physical entities in the aluminum profile extrusion production process from multiple dimensions based on digital twin driving. On this basis, dynamic data and method models are further constructed, including data interface information models and algorithm models. Finally, various types of models are associated, combined, and integrated to form a complete, fully interconnected, multi-level, and high-fidelity extrusion production line system model, providing model support for virtual simulation of aluminum extrusion production based on digital twin.

[0151] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A multi-model integration method for aluminum profile extrusion production, characterized in that, The method includes the following steps: Acquire production process data related to the aluminum extrusion production process, and combine the production process data to decompose and process all elements of the aluminum extrusion production line in real time. Based on the data after full-element decomposition processing, a digital twin model corresponding to the aluminum extrusion production line is constructed; the construction of the digital twin model corresponding to the aluminum extrusion production line based on the data after full-element decomposition processing also includes: Generate and acquire dimensional data corresponding to the extrusion process; the dimensional data includes: geometric dimensional data of the extrusion process, behavioral dimensional data of the extrusion process, and technological dimensional data of the extrusion process; based on the data after full-element decomposition processing, construct a data interface information model and a dynamic method model respectively; The process involves sequentially associating, combining, and integrating various types of models to generate a digital twin-driven aluminum extrusion production system model in real time. This process further includes: Analyze the digital architecture and information flow data, and perform abstract modeling of the equipment; Based on the data processed by abstract modeling, a data interface information model of the extrusion equipment is constructed in real time; wherein, the data interface information model includes: equipment type model, equipment status type model and monitoring unit type model; Generate a fully interconnected, multi-level extrusion production line system model with a specific level of fidelity.

2. The multi-model integration method for aluminum profile extrusion production according to claim 1, characterized in that, Before acquiring production process data related to the aluminum extrusion production process and, in conjunction with this production process data, performing real-time decomposition and processing of all elements of the aluminum extrusion production line, the process further includes: The aluminum rods are preheated and the aluminum profiles are extruded in sequence, while the aluminum rods are straightened, corrected and sawn in real time.

3. A multi-model integration method for aluminum profile extrusion production according to claim 1 or 2, characterized in that, The acquisition of production process data related to the aluminum extrusion production process, and the real-time decomposition and processing of all elements of the aluminum extrusion production line in conjunction with the production process data, further includes: Acquire extrusion production process data, and analyze all-element data on the production line in real time based on the extrusion production process data; wherein, the all-element data includes: all elements of production line operators, all elements of equipment, and all elements of the extrusion production environment.

4. A multi-model integrated system for aluminum profile extrusion production, characterized in that, The system includes: The acquisition and generation unit is used to acquire production process data related to the aluminum extrusion production process, and combine the production process data to decompose and process all elements of the aluminum extrusion production line in real time. The first construction unit is used to construct a digital twin model corresponding to the aluminum extrusion production line based on the data after full-element decomposition processing; the first construction unit also includes: The first generation module is used to generate and acquire dimensional data corresponding to the extrusion process; wherein, the dimensional data includes: geometric dimensional data of the extrusion process, behavioral dimensional data of the extrusion process, and process dimensional data of the extrusion process; The first construction module is used to construct multi-dimensional digital twin models based on the dimensional data. The second construction module is used to construct the data interface information model and the dynamic method model based on the data after the full-element decomposition and processing. The second building unit sequentially associates, combines, and integrates various types of models to generate and establish a digital twin-driven aluminum extrusion production system model in real time. The second building unit further includes: The second analysis and processing module is used to analyze the digital architecture and information flow data, and to perform abstract modeling of the equipment. The third construction module is used to construct the data interface information model of the extrusion equipment in real time based on the data after abstract modeling processing; wherein, the data interface information model includes: equipment type model, equipment status type model and monitoring unit type model; The second generation module is used to generate an extrusion production line system model that is fully interconnected, multi-level, and has a specific level of fidelity.

5. A multi-model integrated system for aluminum profile extrusion production according to claim 4, characterized in that, The system also includes: The first processing unit preheats the aluminum rods and extrudes the aluminum profiles in sequence, and straightens, corrects and saws the aluminum rods in real time. And / or, the acquisition and generation unit further includes: The first analysis and processing module is used to acquire extrusion production process data and analyze the full-element data on the production line in real time based on the extrusion production process data; wherein, the full-element data includes: full elements of production line operators, full elements of equipment, and full elements of the extrusion production environment.

6. A multi-model integrated platform for aluminum profile extrusion production, characterized in that, This includes processors, memory, and multi-model integrated platform control programs for aluminum profile extrusion production; The processor executes the multi-model integration platform control program for aluminum profile extrusion production, and the multi-model integration platform control program for aluminum profile extrusion production is stored in the memory. The multi-model integration platform control program for aluminum profile extrusion production implements the multi-model integration method for aluminum profile extrusion production as described in any one of claims 1 to 3.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a multi-model integration platform control program for aluminum profile extrusion production, which implements the multi-model integration method for aluminum profile extrusion production as described in any one of claims 1 to 3.

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