Optimization Method and System for Further Improving the Processing Capacity of a Manufacturing System Based on Digital Twin

Abstract

The present invention belongs to the technical field of production planning data processing for manufacturing systems, and discloses an optimization method and system for further improving the processing capacity of a manufacturing system based on digital twin. The method includes: building a digital twin environment for the manufacturing system, parsing according to the customer requirements input by the application service layer, and forming a perception-simulation calculation-execution-optimization-decision-making-feedback closed-loop planning simulation logic; performing planning simulation for further improving the processing function and capacity of the manufacturing system; applying the obtained perception-simulation calculation-execution-optimization-decision-making-feedback closed-loop planning simulation logic to the planning for further improving the processing function and capacity of the manufacturing system, and giving an optimized planning scheme for further improving the manufacturing system. The present invention provides support for manufacturing enterprises to quickly implement a manufacturing system planning scheme that is dynamically controllable, responds to customer needs, and has production flexibility and autonomy, and provides a key technology for the digital and intelligent transformation and upgrading of traditional manufacturing systems.

Description

Technical Field

[0001] The present invention belongs to the technical field of production planning data processing of manufacturing systems, and particularly relates to a method and system for further improving and optimizing the processing capacity of a manufacturing system based on digital twin. Background Art

[0002] The manufacturing industry is developing towards digitalization and intelligentization. Existing manufacturing systems face problems such as weak customer demand response ability, low production flexibility, and poor real-time collaboration in the virtual and physical spaces. Manufacturing enterprises urgently need to re-plan and improve the processing functions and capabilities of the current manufacturing system to solve the above problems. However, traditional planning methods have problems such as long design cycles, high costs, and low utilization rates of existing equipment. Digital twin technology, as a key technology for the transformation of intelligent manufacturing from theory to application, is an important means for the re-planning and improvement of the functions and capabilities of manufacturing systems. In the digital twin environment of a manufacturing system, by constructing a configuration model of the existing manufacturing system, further configuring the virtual and physical space models, data interaction mechanisms, and application basic requirements for the improvement of the system's functions and capabilities and integrating them, it is possible to realize the virtual-real collaborative operation simulation of the re-planning and improvement plan of the manufacturing system, so that the planning plan can make full use of existing equipment and is transparent, real-time, efficient, and dynamically controllable.

[0003] Currently, domestic and foreign research mainly focuses on aspects such as offline planning simulation design of manufacturing systems, lacking the construction of a digital twin model of a manufacturing system and the exploration of methods for re-planning and improving the processing functions and capabilities of the system from the actual application environment. Using technologies such as the Internet of Things (IoT), big data, cloud computing, and digital twin, it is possible to establish a unified model of a manufacturing system and a virtual-real space interaction mechanism, and realize the equal interaction and autonomous collaboration between key production elements of the manufacturing system, and then realize the virtual-real collaborative operation simulation and optimization of the re-planning and improvement plan of the manufacturing system. Among them, the IoT technology is applied to construct the interconnection environment between various devices of the manufacturing system to realize the interconnection and real-time data perception of various production elements in the physical space, virtual-real space, and virtual space; big data and cloud computing technologies are applied to the data integration of the manufacturing system solution simulation and the optimization analysis of the solution to construct a closed-loop planning simulation logic of "perception-simulation calculation-execution-optimization-decision-feedback"; digital twin technology is applied to build a digital twin environment of the manufacturing system to realize the virtual-real collaborative operation simulation and optimization analysis of the re-planning and improvement plan of the manufacturing system.

[0004] Through the above analysis, the problems and defects of the existing technology are as follows:

[0005] (1) In the re-planning and improvement of the processing functions and capabilities of existing manufacturing systems, the virtual-real collaborative operation simulation and optimization analysis have poor effects, the accuracy of the obtained data information is low, and it provides poor guidance for actual manufacturing production.

[0006] (2) The real-time interaction effect of existing manufacturing systems is poor.

[0007] (3) The manufacturing system design process has a long cycle, high cost, and low utilization rate of existing equipment. Summary of the Invention

[0008] To overcome the problems existing in the related technologies, the disclosed embodiments of the present invention provide an optimization method and system for further enhancing the processing capabilities of a manufacturing system based on digital twins.

[0009] The technical solution is as follows: An optimization method for further enhancing the processing functions and capabilities of a manufacturing system based on digital twins, which is applied to a client. The method includes the following steps:

[0010] S1. Build a digital twin environment for the manufacturing system, including the physical space, virtual space, application services, and twin data for connecting the three.

[0011] S2. Analyze the customer requirements input from the application service layer to form a perception-simulation calculation-execution-optimization-decision-making-feedback closed-loop planning simulation logic, and conduct a simulation for further enhancing the processing functions and capabilities of the manufacturing system.

[0012] S3. Apply the obtained perception-simulation calculation-execution-optimization-decision-making-feedback closed-loop planning simulation logic to the planning for further enhancing the processing functions and capabilities of the manufacturing system, and give an optimized planning solution for further enhancing the manufacturing system.

[0013] In one embodiment, in step S1, the physical space includes manufacturing resources that the existing manufacturing system can access the manufacturing Internet of Things and achieve autonomous interaction with each other, and software and hardware configuration resources that can describe the current processing functions and capabilities of the manufacturing system.

[0014] The virtual space includes a manufacturing resource model library required for the planning solution for further enhancing the manufacturing system, a real-time mapping interface with the physical space, and software configurations for real-time data application, manufacturing system operation simulation, and simulation data statistical analysis.

[0015] The application service is an interactive terminal for inputting parameter data of the processing functions and capabilities of the manufacturing system to be further enhanced according to customer requirements.

[0016] The twin data includes application requirement data, real-time data of manufacturing resources in the physical space, real-time data of manufacturing resources in the virtual space, simulation analysis and optimization data, and decision-making data.

[0017] In one embodiment, each physical entity in the physical space realizes bidirectional data transmission with the digital twin model in the virtual space through the OPC-UA protocol, NC-Link protocol, TCP / IP protocol, and Modbus TCP protocol at the interactive terminal, and the digital twin models of the manufacturing system in the virtual space conduct real-time interaction through python scripts at the interactive terminal.

[0018] In one embodiment, in step S1, building the digital twin environment of the manufacturing system specifically includes the following steps:

[0019] Step 1: Build the digital twin environment of the current manufacturing system, and establish a digital twin model of the manufacturing system that maps physical entities in real time in the virtual space;

[0020] Step 2: Analyze the processing functions and capabilities of the existing manufacturing system, and establish a processing function and processing capacity model for the system;

[0021] Step 3: According to the above modeling process, obtain the digital twin model of the current physical space manufacturing system and establish a configuration information model.

[0022] In one embodiment, in step 1, the formal description of the current manufacturing system digital twin model CMS is shown in formula (1):

[0023] CMS = {G_M, Inf_M, B_M, C_M, Inter_M} (1)

[0024] In the formula, G_M represents the geometric model, which is composed of point, line, surface, and body features; Inf_M represents the current manufacturing system operating state information model, which is used to extract the operating state information of production factors in the system; B_M represents the behavior model that occurs in the manufacturing system; C_M represents the control model triggered by the behavior; Inter_M represents the interaction model between production factors.

[0025] In one embodiment, in step 2, the processing function F current The formal description is shown in formula (2):

[0026] F current = [p c1 , p c2 , ···, p ci (i = 1, 2, ···, n)(2)

[0027]

[0028] In the formula, p ci represents the content of the i-th process that the current manufacturing system can process, where i = 1, 2, ···, n; Prod k represents all the process contents included in the processing of the k-th part, and p c(r,i) represents that the process content included in the processing of part k belongs to p ci ;

[0029] The processing capacity A of the current manufacturing system current The formal description is shown in formula (4) and formula (5):

[0030]

[0031] A current =max(T1,T2,···,T l ) (5)

[0032] In the formula, T cl represents the time required for the current manufacturing system to process one part l; ToP(p ci ,j) represents the time required for process p ci to be processed on machine tool j; A current represents the time for the current manufacturing system to fastest process and complete one part, and is used to describe the processing capacity of the current manufacturing system.

[0033] In one embodiment, in step S2, parsing according to the customer requirements input by the application service layer includes the following steps:

[0034] (i) Build a data transmission network for the local area network and wireless network of the manufacturing system to provide network support for the unified access of multi-mode terminals;

[0035] (ii) Develop a cloud database model for the manufacturing system with a permission control mechanism, and establish real-time data communication interfaces and human-computer interaction interfaces for the physical space, virtual space, and application service layer;

[0036] (iii) Based on the above network and interface standards, establish an interaction mechanism between customer requirements and manufacturing system simulation planning, and input parameter data according to customer requirements. The parameter data includes the types of required products, corresponding process content, processing quantity, and delivery date.

[0037] In one embodiment, in step S3, giving an optimized manufacturing system re-improvement planning scheme specifically includes the following steps:

[0038] (a) Perform customer requirement analysis;

[0039] (b) According to the result M future obtained from the customer requirement analysis process, based on the manufacturing system digital twin model construction technology, construct a manufacturing system digital twin model of the production factors included in M future , establish a logical mapping relationship between the current manufacturing system in the physical space and the target manufacturing system in the virtual space, and realize two-way data transmission between entities, between entities and digital twin models, and between digital twin models by establishing a data interface protocol;

[0040] (c) For the processing requirements of customer demand products, conduct collaborative simulation operations of the manufacturing system in the virtual and real spaces, analyze and process the simulation statistical data, and through the closed-loop planning simulation logic of perception - simulation calculation - execution - optimization - decision - feedback, obtain the planning target scheme for further improving the processing function and capacity of the manufacturing system.

[0041] In one embodiment, the step (a) of parsing customer requirements specifically includes the following steps:

[0042] ① Determine the types of customer demand products

[0043]

[0044] In the formula, Need f represents the customer's demand for the content of products that can be processed by the manufacturing system. If then it means that the current processing function of the manufacturing system can meet the customer's demand, and only the processing capacity needs to be considered, go to ③; if then it is necessary to further verify whether the current manufacturing system can meet the customer's demand, go to ②;

[0045] ② Verify the processing function

[0046] F future =[p f1 ,p f2 ,···,p fn (n = 1,2,···,N) (7)

[0047] In the formula, F future represents all the processing operation contents corresponding to the customer's demand. If F future ≠F current , it means that the current processing function of the manufacturing system is insufficient and the reconfiguration of processing resources is required. The formal description of the configuration is as follows:

[0048]

[0049] M future =[m1,m2,···,m u (u = 1,2,···,U) (9)

[0050] In the formula, represents the scale of the manufacturing system required to meet the customer's demand; M current represents the production factors possessed by the current manufacturing system; M future represents the content of the production factors to be newly added;

[0051] If F future =F current, there is no need to re-plan the processing function of the current manufacturing system, and directly verify the processing ability, go to ③;

[0052] ③Verify the processing ability;

[0053] A future = C, where C is a constant (10);

[0054] In the formula, A future represents the maximum completion time of a single product required by the customer, and planning simulation needs to be carried out according to the analysis of processing function requirements.

[0055] Another object of the present invention is to provide a system for implementing the method for re-improving the processing function and ability of a manufacturing system based on digital twin. The system for re-improving the processing function and ability of a manufacturing system based on digital twin includes:

[0056] A digital twin environment building module, which is used to build a digital twin environment of the manufacturing system, including a physical space, a virtual space, application services, and twin data for connecting the three;

[0057] A closed-loop planning simulation logic acquisition module, which is used to analyze according to the customer requirements input by the application service layer to form a closed-loop planning simulation logic of perception-simulation calculation-execution-optimization-decision-making-feedback;

[0058] A manufacturing system re-improving planning scheme module, which is used to apply the obtained closed-loop planning simulation logic of perception-simulation calculation-execution-optimization-decision-making-feedback to the re-improving planning of the processing function and ability of the manufacturing system, and give an optimized manufacturing system re-improving planning scheme.

[0059] Combined with all the above technical solutions, the advantages and positive effects of the present invention are:

[0060] First, aiming at the technical problems existing in the above-mentioned prior art and the difficulty of solving this problem, closely combining the technical solutions to be protected by the present invention and the results and data in the R & D process, etc., analyze in detail and profoundly how the technical solutions of the present invention solve the technical problems and the creative technical effects brought after solving the problems. The specific description is as follows:

[0061] The present invention solves the problems faced by the re-improving planning of the processing function and ability of the existing manufacturing system, provides a method for re-improving the processing function and ability of a manufacturing system based on digital twin, can configure the virtual and real models, data interaction mechanisms and application requirements of the manufacturing system and integrate them, construct a closed-loop planning simulation logic of "perception-simulation calculation-execution-optimization-decision-making-feedback" for the manufacturing system, and realize the virtual-real collaborative operation simulation and optimization analysis of the re-improving planning scheme of the manufacturing system.

[0062] Second, considering the technical solution as a whole or from the perspective of the product, the technical effects and advantages of the technical solution to be protected by the present invention are described in detail as follows:

[0063] The present invention builds a digital twin environment for upgrading, transformation and planning of manufacturing systems, including physical space, virtual space, application services and twin data connected between the three. The physical space includes manufacturing resources that can be connected to the manufacturing Internet of Things and realize autonomous interaction between the existing manufacturing system, as well as software and hardware configuration resources that can describe the processing functions and capabilities of the current manufacturing system; the virtual space includes the manufacturing resource model library required for the manufacturing system re-enhancement planning scheme, the real-time mapping interface with the physical space, and the software configuration of real-time data application, manufacturing system operation simulation, and simulation data statistical analysis; the application service is the interactive terminal for customer demand to input the processing function and capability parameter data of the re-enhancement manufacturing system; the twin data includes application demand data, real-time data of physical space manufacturing resources, real-time data of virtual space manufacturing resources, simulation analysis optimization data and decision data, etc.

[0064] Compared with the prior art, the advantages of the present invention further include: the present invention builds a digital twin environment of the manufacturing system, such as Figure 2 As shown, the system architecture is composed of physical space, virtual space, application services and twin data connecting the three. Through quantitative analysis of the processing functions and capabilities of the current manufacturing system in the physical space, the customer needs input by the application service layer are analyzed to form a closed-loop planning simulation logic of "perception-simulation calculation-execution-optimization-decision-feedback" to realize the simulation of the planning for further improvement of the processing functions and capabilities of the manufacturing system. The present invention is applied to the planning for further improvement of the processing functions and capabilities of the manufacturing system, and the optimal manufacturing system improvement planning scheme is given, such as Figure 3 As shown, it provides support for manufacturing companies to quickly implement dynamic and controllable manufacturing system planning solutions that respond to customer needs, and enable flexible and autonomous production, and provides a key technology for the digital and intelligent transformation and upgrading of traditional manufacturing systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0066] Figure 1 It is a method flow for planning the improvement of processing functions and capabilities of a manufacturing system based on digital twins provided in an embodiment of the present invention;

[0067] Figure 2 It is a rendering of a digital twin environment of a manufacturing system provided by an embodiment of the present invention;

[0068] Figure 3It is the schematic diagram of the optimal manufacturing system re - improvement planning scheme provided by the embodiments of the present invention;

[0069] Figure 4 It is the schematic diagram of the manufacturing system processing function and capacity re - improvement planning system based on digital twin provided by the embodiments of the present invention;

[0070] In the figure: 1. Digital twin environment construction module; 2. Closed - loop planning simulation logic acquisition module; 3. Manufacturing system re - improvement planning scheme module. Specific embodiments

[0071] To make the above - mentioned objects, features and advantages of the present invention more obvious and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description in order to fully understand the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0072] I. Explanation of embodiments:

[0073] As Figure 1 shown, the method for re - improving the processing function and capacity of a manufacturing system based on digital twin provided by the embodiments of the present invention includes:

[0074] S101, construct the digital twin environment of the manufacturing system, including the physical space, virtual space, application services, and the twin data for connecting the three.

[0075] As Figure 2 shown, the physical space includes the manufacturing resources where the existing manufacturing system can access the manufacturing Internet of Things and achieve autonomous interaction with each other, and the software and hardware configuration resources that can describe the current processing function and capacity of the manufacturing system; the virtual space includes the manufacturing resource model library required for the manufacturing system re - improvement planning scheme, the real - time mapping interface with the physical space, and the software configuration for real - time data application, manufacturing system operation simulation, and simulation data statistical analysis; the application service is the input and interaction terminal for the processing function and capacity parameter data of the re - improved manufacturing system according to customer requirements; the twin data includes application requirement data, real - time data of manufacturing resources in the physical space, real - time data of manufacturing resources in the virtual space, simulation analysis and optimization data, and decision - making data, etc.

[0076] S102, analyze the customer requirements input from the application service layer to form a "perception - simulation calculation - execution - optimization - decision - feedback" closed - loop planning simulation logic; realize the re - improvement planning simulation of the manufacturing system processing function and capacity.

[0077] S103. Apply the obtained closed-loop planning simulation logic of "perception - simulation calculation - execution - optimization - decision - feedback" to the re - improvement planning of the manufacturing system's processing functions and capabilities, and give the optimal manufacturing system re - improvement planning scheme.

[0078] As a preferred embodiment, in the digital twin environment of the manufacturing system built, through demand perception in the physical space, obtain the requirements of customers for the quality, construction period, and processing technology planning process of product processing in the future manufacturing system. Through calculating and solving the re - improvement scheme of the manufacturing system's processing functions and capabilities, conduct simulation optimization and solution for the solution library that meets the conditions. Through considering performance index parameters, conduct simulation optimization and re - design of the manufacturing system, and propose the implementation plan for the upgrade of the future manufacturing system. Through information feedback and equipment procurement parameter indicators, realize the transformation and upgrade of the actual manufacturing system.

[0079] Embodiment 1

[0080] The method for re - improving the processing functions and capabilities of a manufacturing system based on digital twin provided by the embodiments of the present invention includes the following steps:

[0081] The first step is to model the configuration of the existing manufacturing system in the physical space; as Figure 2 shown;

[0082] First, build a digital twin environment for the current manufacturing system, and establish a digital twin model of the manufacturing system that maps physical entities in real - time in the virtual space. The formal description of the current manufacturing system digital twin model CMS is shown in formula (1):

[0083] CMS = {G_M, Inf_M, B_M, C_M, Inter_M} (1)

[0084] In the formula, G_M represents the geometric model, which is composed of point, line, surface, and body features; Inf_M represents the current manufacturing system operation state information model, which is used to extract the operation state information of production factors in the system; B_M represents the behavior model that occurs in the manufacturing system; C_M represents the control model triggered by the behavior; Inter_M represents the interaction model between production factors;

[0085] Secondly, analyze the processing functions and capabilities of the existing manufacturing system, and establish a processing function and processing capacity model for the system; among them, the processing function F current The formal description is shown in formula (2):

[0086] F current = [p c1 , p c2 , ···, p ci (i = 1, 2, ···, n) (2)

[0087]

[0088] Wherein, p ci represents the content of the i-th process that can be processed by the current manufacturing system, where i = 1, 2, ···, n; Prod k represents all the process contents included in the processing of the k-th part, p c(r,i) represents that the process content included in the processing of part k belongs to p ci ;

[0089] The processing capacity A of the current manufacturing system current is formally described as shown in (4) and (5):

[0090]

[0091] A current = max(T1, T2, ···, T l )(5)

[0092] Wherein, T cl represents the time required for the current manufacturing system to process a part l; ToP(p ci , j) represents the time required for the process p ci to be processed on the machine tool j; A current represents the time required for the current manufacturing system to process a part fastest, and is used to describe the processing capacity of the current manufacturing system;

[0093] According to the above modeling process, the digital twin model of the current physical space manufacturing system is obtained and the configuration information model is established.

[0094] Second step, parameter parsing of the application service layer;

[0095] First, build data transmission networks such as the local area network and wireless network of the manufacturing system to provide network support for the unified access of multi-mode terminals; secondly, develop a cloud database model of the manufacturing system with a permission control mechanism, and establish real-time data communication interfaces and human-computer interaction interfaces for the physical space, virtual space, and application service layer; finally, establish an interaction mechanism between customer requirements and manufacturing system simulation planning based on the above network and interface standards, and according to the parameter data input by customer requirements, including but not limited to the types of required products, corresponding process contents, processing quantities, and delivery dates.

[0096] Third step, model configuration and simulation analysis of the manufacturing system re-improvement planning scheme; as Figure 3 shown;

[0097] First, assume that the customer requirements are parsed as follows:

[0098] ① Determine the types of products required by the customer

[0099]

[0100] In the formula, Need f represents the customer's demand for the product content that the manufacturing system can process. If it indicates that the current manufacturing system's processing function can meet the customer's demand, and only the processing capacity needs to be considered, go to ③; if it is necessary to further verify whether the current manufacturing system can meet the customer's demand, go to ②;

[0101] ②Verify the processing function

[0102] F future = [p f1 , p f2 , ···, p fn (n = 1, 2, ···, N) (7)

[0103] In the formula, F future represents all the processing operation contents corresponding to the customer's demand. If F future ≠F current , it indicates that the processing function of the current manufacturing system is insufficient, and reconfiguration of processing resources is required. The formal description of the configuration is as follows:

[0104]

[0105] M future = [m1, m2, ···, m u (u = 1, 2, ···, U) (9)

[0106] In the formula, represents the scale of the manufacturing system required to meet the customer's demand; M current represents the production factors (numerical control machine tools) possessed by the current manufacturing system; M future represents the content of the production factors to be newly added;

[0107] If F future = F current , there is no need to re-plan the processing function of the current manufacturing system, and directly verify the processing capacity, go to ③;

[0108] ③Verify the processing capacity

[0109] A future = C, where C is a constant (10)

[0110] In the formula, A future represents the maximum completion time of a single product for the customer's demand, and planning and simulation need to be carried out according to the analysis of the processing function requirements;

[0111] Secondly, according to the above customer demand analysis process, M futureAs a result, based on the digital twin model construction technology of the manufacturing system, M is constructed future a digital twin model of the manufacturing system containing the production factors it includes, establish a logical mapping relationship between the current manufacturing system in the physical space and the target manufacturing system in the virtual space, and realize bidirectional data transmission between entities, between entities and the digital twin model, and between digital twin models by establishing a data interface protocol.

[0112] Finally, for the processing requirements of the customer-demand products, carry out collaborative simulation operations of the manufacturing system in the virtual and real spaces, analyze and process the simulation statistical data, and through the closed-loop planning simulation logic of "perception - simulation calculation - execution - optimization - decision - feedback", obtain the processing function and capacity re-improvement planning target scheme of the manufacturing system.

[0113] Embodiment 2

[0114] Based on the method for re-improving the processing function and capacity of a manufacturing system based on digital twin provided in Embodiment 1 of the present invention, further preferably, each physical entity in the physical space realizes bidirectional data transmission with the digital twin model (i.e., the digital twin model CMS of the manufacturing system) in the virtual space through OPC-UA, NC-Link, TCP / IP, and Modbus TCP protocols.

[0115] In the embodiment of the present invention, the digital twin models of the manufacturing system in the virtual space perform real-time interaction through python scripts.

[0116] Embodiment 3

[0117] As Figure 4 shown, the system for re-improving the processing function and capacity of a manufacturing system based on digital twin provided in the embodiment of the present invention includes;

[0118] The digital twin environment construction module 1 is used to construct the digital twin environment of the manufacturing system, including the physical space, the virtual space, the application service, and the twin data for connecting the three. The physical space includes the manufacturing resources where the existing manufacturing system can access the manufacturing Internet of Things and realize autonomous interaction with each other, and the software and hardware configuration resources that can describe the processing function and capacity of the current manufacturing system; the virtual space includes the manufacturing resource model library required for the re-improving planning scheme of the manufacturing system, the real-time mapping interface with the physical space, and the software configuration for real-time data application, manufacturing system operation simulation, and simulation data statistical analysis; the application service is the input and interaction terminal for the processing function and capacity parameter data of the re-improved manufacturing system for customer requirements; the twin data includes application requirement data, real-time data of manufacturing resources in the physical space, real-time data of manufacturing resources in the virtual space, simulation analysis and optimization data, decision-making data, etc.

[0119] The closed-loop planning simulation logic acquisition module 2 is used to analyze the customer requirements input by the application service layer to form a closed-loop planning simulation logic of "perception - simulation calculation - execution - optimization - decision - feedback", and to realize the planning simulation for the re-improvement of the processing function and capacity of the manufacturing system.

[0120] The manufacturing system re-improvement planning solution module 3 is used to apply the obtained closed-loop planning simulation logic of "perception - simulation calculation - execution - optimization - decision - feedback" to the planning for the re-improvement of the processing function and capacity of the manufacturing system, and to give the optimal manufacturing system re-improvement planning solution.

[0121] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0122] Regarding the information interaction, execution process, etc. between the above-mentioned devices / units, since they are based on the same concept as the method embodiments of the present invention, for their specific functions and the technical effects brought about, reference may specifically be made to the method embodiment part, and details will not be elaborated here.

[0123] Those skilled in the art can clearly understand that, for the sake of convenience and brevity of description, only the above-mentioned division of each functional unit and module is used as an example for illustration. In actual applications, the above-mentioned functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiments can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present invention. The specific working processes of the units and modules in the above-mentioned system can refer to the corresponding processes in the foregoing method embodiments, and details will not be elaborated here.

[0124] II. Application Embodiment:

[0125] Application Example 1

[0126] The application embodiment of the present invention also provides a computer device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor. When the processor executes the computer program, the steps in any of the above-mentioned method embodiments are implemented.

[0127] Application Example 2

[0128] The application embodiment of the present invention further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned various method embodiments can be implemented.

[0129] Application Example 3

[0130] The application embodiment of the present invention further provides an information data processing terminal. When the information data processing terminal is used to be executed on an electronic device, it provides a user input interface to implement the steps in the above-mentioned various method embodiments. The information data processing terminal is not limited to mobile phones, computers, and switches.

[0131] Application Example 4

[0132] The embodiment of the present invention further provides a server. When the server is used to be executed on an electronic device, it provides a user input interface to implement the steps in the above-mentioned various method embodiments.

[0133] Application Example 5

[0134] The embodiment of the present invention provides a computer program product. When the computer program product runs on an electronic device, it enables the electronic device to implement the steps in the above-mentioned various method embodiments when executed.

[0135] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-mentioned embodiment methods of the present invention, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps in the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the photographing device / terminal device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc.

[0136] As mentioned above, the above are only the preferred specific implementation manners of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention should all be covered within the protection scope of the present invention.

Claims

1. A method for re - improving the processing function and ability of a manufacturing system based on digital twin, characterized in that, Applied to the client, the method comprises the following steps: S1. Build the digital twin environment of the manufacturing system, including the physical space, virtual space, application services, and the twin data for connecting the three; S2. Analyze according to the customer requirements input by the application service layer, form the perception-simulation calculation-execution-optimization-decision-making-feedback closed-loop planning simulation logic, and conduct the planning simulation for the re-improvement of the processing function and capacity of the manufacturing system; S3. Apply the obtained perception-simulation calculation-execution-optimization-decision-making-feedback closed-loop planning simulation logic to the planning for the re-improvement of the processing function and capacity of the manufacturing system, and give an optimized re-improvement planning scheme for the manufacturing system; In step S1, building the digital twin environment of the manufacturing system specifically includes the following steps: Step 1. Build the digital twin environment of the current manufacturing system, and establish a digital twin model of the manufacturing system that maps physical entities in real time in the virtual space; Step 2. Analyze the processing function and capacity of the existing manufacturing system, and establish the processing function and processing capacity model of the system; Step 3. According to the above modeling process, obtain the digital twin model of the current physical space manufacturing system and establish a configuration information model; In step 1, the formal description of the current manufacturing system digital twin model CMS is shown in formula (1): CMS = {G_M, Inf_M, B_M, C_M, Inter_M} (1) In the formula, G_M represents the geometric model, which is composed of point, line, surface, and body features; Inf_M represents the operation status information model of the current manufacturing system, which is used to extract the operation status information of production factors in the system; B_M represents the behavior model that occurs in the manufacturing system; C_M represents the control model triggered by the behavior; Inter_M represents the interaction model between production factors; In step 2, the processing function F current The formal description is shown in formula (2): F current = [p c1 , p c2 , ···, p ci (i = 1, 2, ···, n)(2) and the value of i may not be in a fixed order (3) where p ci represents the content of the i-th process that can be processed by the current manufacturing system, where i = 1, 2, ···, n; Prod k represents all the process contents included in the processing of the k-th part, p c(r,i) indicates that the process content included in the processing of part k belongs to p ci ; Current manufacturing system processing capacity A current The formal description is as shown in formulas (4) and (5): A current = max(T1, T2, ···, T l )(5) where, T cl represents the time required for the current manufacturing system to process a part l; ToP(p ci ,j) represents the time required for processing operation p ci on machine tool j; A current represents the time for the current manufacturing system to complete machining one part at the fastest, and is used to describe the machining capacity of the current manufacturing system.

2. The method for re - improving the processing function and ability of a manufacturing system based on digital twin according to claim 1, characterized in that, In step S1, the physical space includes the manufacturing resources that the existing manufacturing system can access the manufacturing Internet of Things and realize autonomous interaction with each other, and the software and hardware configuration resources that can describe the processing function and capacity of the current manufacturing system; The virtual space includes the manufacturing resource model library required for the re-improvement planning scheme of the manufacturing system, the real-time mapping interface with the physical space, and the software configuration for real-time data application, manufacturing system operation simulation, and simulation data statistical analysis; The application service is the input and interaction terminal for the processing function and capacity parameter data of the re-improved manufacturing system for customer requirements; The twin data includes application requirement data, real-time data of manufacturing resources in the physical space, real-time data of manufacturing resources in the virtual space, simulation analysis and optimization data, and decision-making data; 3. The method for re - improving the processing function and ability of a manufacturing system based on digital twin according to claim 2, characterized in that, Each physical entity in the physical space realizes two-way data transmission with the digital twin model in the virtual space at the interaction terminal through the OPC-UA protocol, NC-Link protocol, TCP / IP protocol, and ModbusTCP protocol. The digital twin models of the manufacturing system in the virtual space conduct real-time interaction through python scripts at the interaction terminal; 4. In the method for re - improving the processing function and ability of a manufacturing system based on digital twin according to claim 1, in step S2, parsing the customer requirements input by the application service layer includes the following steps: (i) Build the data transmission network of the manufacturing system local area network and wireless network to provide network support for the unified access of multi-mode terminals; (ii) Develop a cloud database model for the manufacturing system with a permission control mechanism, and establish real-time data communication interfaces and human-computer interaction interfaces for the physical space, virtual space, and application service layer; (iii) Based on the above network and interface standards, establish an interaction mechanism between customer requirements and manufacturing system simulation planning, and input parameter data according to customer requirements. The parameter data includes the types of required products, corresponding process content, processing quantity, and delivery date.

5. The method for re - improving the processing function and capacity of a digital - twin - based manufacturing system according to claim 1, in step S3, giving the optimized re - improvement planning scheme of the manufacturing system specifically includes the following steps: (a) Analyze customer requirements; (b) Parse the process according to customer requirements to obtain M future Result. Based on the digital twin model construction technology of the manufacturing system, construct M future The digital twin model of the manufacturing system containing production factors, establish the logical mapping relationship between the current manufacturing system in the physical space and the target manufacturing system in the virtual space, and realize the two-way data transmission between entities, between entities and digital twin models, and between digital twin models by establishing a data interface protocol; (c) For the processing requirements of customer-required products, conduct collaborative simulation operations of the manufacturing system in the virtual and physical spaces, analyze and process the simulation statistical data, and through the closed-loop planning simulation logic of perception-simulation calculation-execution-optimization-decision-making-feedback, obtain the planning target scheme for further improving the processing function and capacity of the manufacturing system.

6. The method for re - improving the processing function and capacity of a digital - twin - based manufacturing system according to claim 5, characterized in that, The specific steps for the above step (a) to analyze customer requirements include the following steps: ① Determine the types of customer-required products In the formula, Need f represents the customer's demand for the content of the products that can be processed by the manufacturing system. If it indicates that the current processing function of the manufacturing system can meet the customer's demand, and only the processing capacity needs to be considered, go to ③; if it is necessary to further verify whether the current manufacturing system can meet the customer's demand, go to ②; ② Verify the processing function F future = [p f1 , p f2 , ···, p fn (n = 1, 2, ···, N)(7) Where, F future represents all the processing operation contents corresponding to customer requirements. If F future ≠F current , it indicates that the processing function of the current manufacturing system is insufficient and reconfiguration of processing resources is required. The formal description of the configuration is as follows: M future = [m1, m2, ···, m u (u = 1, 2, ···, U)(9) In the formula, represents the scale of the manufacturing system required to meet customer needs; M current represents the production factors currently available in the manufacturing system; M future represents the content of the production factors to be newly added; If F future = F current , there is no need to re-plan the processing function of the current manufacturing system, and directly conduct the verification of processing capabilities, then go to ③; ③ Verify the processing capacity; A future = C, where C is a constant (10); Where A future represents the maximum completion time of a single product for customer requirements, and planning and simulation need to be carried out according to the analysis of processing function requirements.

7. A system for implementing the method for re - improving the processing function and capacity of a digital - twin - based manufacturing system according to any one of claims 1 - 6, characterized in that, The system for further improving the processing function and capacity of the manufacturing system based on digital twin includes: A digital twin environment construction module (1) for constructing the digital twin environment of the manufacturing system, including the physical space, virtual space, application service, and twin data for connecting the three; A closed-loop planning simulation logic acquisition module (2) for analyzing the customer requirements input from the application service layer to form a closed-loop planning simulation logic of perception-simulation calculation-execution-optimization-decision-making-feedback; A manufacturing system further improvement planning scheme module (3) for applying the obtained closed-loop planning simulation logic of perception-simulation calculation-execution-optimization-decision-making-feedback to the further improvement planning of the processing function and capacity of the manufacturing system, and giving an optimized manufacturing system further improvement planning scheme.

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