Reconstruction method and system for cpmps manufacturing resource service based on reconstruction timing driving

Abstract

The application discloses a CPMPS manufacturing resource service reconstruction method and system based on reconstruction opportunity driving, which is applied to the technical field of intelligent manufacturing, and the method comprises the following steps: encapsulating manufacturing resources into a modular manufacturing resource service catalog; determining an optimal reconstruction time point of a modular production system by using a reconstruction opportunity triggering strategy; performing manufacturing resource service matching on the modular production system based on the manufacturing resource service catalog and the optimal reconstruction time point, so as to obtain a plurality of reconstruction schemes; and selecting an optimal reconstruction scheme from the plurality of reconstruction schemes, and implementing and simulating and verifying the optimal reconstruction scheme.

Description

Technical Field

[0001] This invention relates to the field of intelligent manufacturing technology, and in particular to a CPMPS manufacturing resource service-oriented reconfiguration method and system based on reconfiguration timing. Background Technology

[0002] In recent years, with the large-scale application of new information and communication technologies such as the Internet of Things (IoT) and 5G, intelligent characteristics such as the decoupling and decentralized management of manufacturing resources have been realized, and the modularity and cyber-physical integration features of production systems have become more prominent. Intelligent manufacturing, characterized by cyber-physical integration, has become the main direction for the future development of the manufacturing industry. Under the intelligent manufacturing model, the Modular Production System (MPS) meets flexible production needs through dynamic reconfiguration based on the intelligent characteristics of decoupling and decentralized management of modular resources. For example, Audi AG, in its smart factory planning strategy report, pointed out that traditional assembly line production systems will be replaced by modular factories that inherit the "dynamic modular production" technology of vertical integration and product customization, ultimately establishing a highly flexible personalized product and digital production model for the company through modular dynamic reconfiguration. Currently, the traditional reconfiguration model centered on physical systems can no longer meet the MPS reconfiguration needs under new characteristics, while dynamic MPS reconfiguration integrating information characteristics has become a research focus in the industry. Facing the dynamic reconfiguration needs of MPS, not only are advanced manufacturing and information and communication technologies required as a foundation, but also a systematic reconfiguration method.

[0003] To design a suitable manufacturing resource reconfiguration scheme, this application focuses on improving the flexibility of Modular Production System under Customized Production Mode (CPMPS) as its core objective. It proposes a service-oriented reconfiguration method and system for CMPS manufacturing resources based on reconfiguration timing, addressing the issue of integrated methods for CMPS modeling, reconfiguration, and simulation verification. Summary of the Invention

[0004] The purpose of this application is to provide a service-oriented reconfiguration method and system for CPMPS manufacturing resources based on reconfiguration timing, in order to solve the above-mentioned problems.

[0005] To achieve the above objectives, this application provides the following technical solution:

[0006] This application provides a service-oriented reconfiguration method for CPMPS manufacturing resources based on reconfiguration timing, including:

[0007] Package manufacturing resources into a modular manufacturing resource service catalog;

[0008] A reconfiguration timing triggering strategy is used to determine the optimal reconfiguration time point for a modular production system.

[0009] Based on the manufacturing resource service catalog and the optimal reconfiguration time point, the modular production system is matched with manufacturing resource services to obtain several reconfiguration schemes;

[0010] The optimal reconstruction scheme is selected from the several reconstruction schemes, and the optimal reconstruction scheme is implemented and verified by simulation.

[0011] Furthermore, the step of determining the optimal reconfiguration time point of the modular production system using a reconfiguration timing triggering strategy specifically includes the following steps:

[0012] The reconfiguration timing triggering strategy includes: event triggering, trend prediction, processing functions and production capacity of the modular production system, and reconfiguration cost.

[0013] The event triggering refers to the stress response that corresponds to the event in the modular production system;

[0014] The trend prediction involves detecting and judging the service performance of the modular production system and predicting the reconfiguration time of the modular production system; the time interval for periodic detection is dynamically adjusted using a preset algorithm.

[0015] The processing function, production capacity, and reconfiguration cost of the modular production system are specifically defined as follows: the processing function and production capacity of the modular production system are used as the complexity of the operation of the modular production system, and the complexity of the modular production system is evaluated using the information entropy measurement method; based on the reconfiguration cost, the cusp catastrophe model in catastrophe theory is used to determine the timing of reconfiguration of the pre-constructed modular production system complexity model, and the optimal reconfiguration time point of the modular production system is determined.

[0016] Furthermore, the step of matching manufacturing resource services to the modular production system based on the manufacturing resource service catalog and the optimal reconfiguration time point to obtain several reconfiguration schemes specifically includes the following steps:

[0017] The initial manufacturing resource configuration of the modular production system is used as a reference point;

[0018] The modular production system is searched using the manufacturing resource service catalog.

[0019] The corresponding matching mechanism is used for logical configuration and semantic analysis. Based on the manufacturing resource service catalog and benchmark, the modular production system is analyzed to obtain several reconstruction schemes for the modular production system.

[0020] Furthermore, the step of selecting the optimal reconstruction scheme from the plurality of reconstruction schemes and implementing and simulating the optimal reconstruction scheme specifically includes the following steps:

[0021] According to the optimal reconfiguration scheme, the modular production system is reconfigured in both physical and information spaces; the reconfiguration of the modular production system includes: reconfiguration at the manufacturing resource level, reconfiguration at the unit level, and reconfiguration at the system level.

[0022] After reconstruction, data modeling is performed on the modular production system, including adding, modifying, and deleting manufacturing resources.

[0023] Furthermore, the restructuring of the manufacturing resource hierarchy is as follows:

[0024] The production capacity of the modular production system is evaluated. If it meets the preset requirements of the new production task, manufacturing resource service matching is performed based on the initial manufacturing resource configuration to obtain the corresponding reconfiguration scheme.

[0025] The refactoring scheme after matching manufacturing resource services is refactored to determine whether the current refactored modular production system needs system refactoring.

[0026] If the assessment result indicates that unit-level restructuring is required, then proceed to the modular production system unit-level restructuring; if the assessment result indicates that unit-level restructuring is not required, then proceed to the manufacturing resource-level restructuring.

[0027] Based on a pre-built modular production system manufacturing resource model library, a virtual production system of the modular production system is constructed in the information space; the virtual production system is simulated and verified based on a digital simulation platform.

[0028] If the virtual production system described in the simulation results is running normally, then the current reconstruction scheme is implemented, and the corresponding manufacturing resource catalog is adjusted and the corresponding manufacturing resource model library is updated to complete the reconstruction of the manufacturing resource level of the modular production system. If the reconstructed manufacturing resource service in the simulation results cannot correctly execute the preset production tasks, then the problem is re-examined by using a digital simulation platform after manual adjustment until the reconstructed manufacturing resource service in the simulation results is running normally.

[0029] Furthermore, the reconstruction of the unit hierarchy is as follows:

[0030] When the restructuring of the manufacturing resource level does not meet the processing functions and production capacity required by the preset new production task, the modular production system is restructured at the unit level.

[0031] The reconstruction of the unit level is based on the reconstruction of the manufacturing resource level.

[0032] Furthermore, the system hierarchy is restructured as follows:

[0033] Based on the restructuring at the unit level, the system level is restructured;

[0034] The system-level reconstruction is the highest-level reconstruction. Once the system-level reconstruction is completed, the reconstruction of the modular production system is also completed.

[0035] This application proposes a system for CPMPS manufacturing resource service-oriented reconfiguration based on reconfiguration timing, including:

[0036] Encapsulation Module: Encapsulates manufacturing resources into a modular catalog of manufacturing resource services;

[0037] Analysis module: Employs a refactoring timing trigger strategy to determine the optimal refactoring time for the modular production system;

[0038] Reconfiguration configuration module: Based on the manufacturing resource service catalog and the optimal reconfiguration time point, the modular production system is matched with manufacturing resource services to obtain several reconfiguration schemes;

[0039] Implementation module: Select the optimal reconstruction scheme from the several reconstruction schemes, and implement and simulate the optimal reconstruction scheme.

[0040] This application provides an apparatus comprising a processor and a memory coupled to the processor, wherein the memory stores program instructions for implementing a CPMPS manufacturing resource service-oriented reconfiguration method driven by reconfiguration timing; the processor is configured to execute the program instructions stored in the memory to implement CPMPS manufacturing resource service-oriented reconfiguration driven by reconfiguration timing.

[0041] This application provides a storage medium storing processor-executable program instructions for executing a CPMPS manufacturing resource service-oriented reconfiguration method based on reconfiguration timing.

[0042] This application provides a service-oriented reconfiguration method and system for CPMPS manufacturing resources based on reconfiguration timing, which has the following beneficial effects:

[0043] (1) By dynamically calling up manufacturing resources and timely reconfiguring, the production system can quickly respond to market demands; at the same time, flexible configuration of manufacturing resources enables the modular production system to quickly switch between different production needs, thereby improving production efficiency.

[0044] (2) Unit-level refactoring provides a foundation for system-level refactoring, reducing the complexity and time consumption of system-level refactoring; by reducing the refactoring evaluation process, it further reduces refactoring costs and improves refactoring efficiency;

[0045] (3) The reconstruction process proposed in this application promotes the innovation and application of manufacturing technology and ensures the improvement of the overall performance of the production system through the collaborative reconstruction of physical space and information space. Attached Figure Description

[0046] Figure 1 This is a flowchart illustrating the CPCPS manufacturing resource service-oriented reconfiguration method based on reconfiguration timing driven by Embodiment 1 of this application.

[0047] Figure 2 This is a schematic diagram of the reconstruction process of the manufacturing resource level in the modular production system of Embodiment 1 of this application;

[0048] Figure 3 This is a schematic diagram of the structure of the CPMPS manufacturing resource service-oriented reconfiguration system based on reconfiguration timing driven according to Embodiment 2 of this application;

[0049] Figure 4 This is a schematic diagram of the device structure in Embodiment 3 of this application;

[0050] Figure 5 This is a schematic diagram of the storage medium structure of Embodiment 4 of this application. Detailed Implementation

[0051] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0052] The following analysis, based on relevant technologies, examines existing solutions.

[0053] In a modular production system (CPMPS) with a customized production model, various manufacturing resources expose their production operation functions and capabilities as production services within the system, encapsulated into a modular service catalog, serving as manufacturing services that the system can invoke. CPMPS acts as a service provider by encapsulating the physical operations of manufacturing resources as services. For example, manufacturing execution resources (such as servo motors) in CPS intelligent manufacturing resources have transmission functions, and sensing resources (such as RFID sensors) have sensing functions. By encapsulating these manufacturing resources as manufacturing services and publishing them throughout the production system, and storing them in the system model library, the system can use appropriate matching mechanisms to access and dynamically invoke relevant manufacturing resource services in real time, thereby achieving matching of manufacturing resource services to the production system's processing functions and capacity requirements. Manufacturing services can also provide result aggregation by combining manufacturing resource sub-services. For example, a manufacturing resource robot can be equipped with CPS intelligent manufacturing resources and basic physical manufacturing resources such as robot grippers and machine vision to achieve an aggregated service form of manufacturing resources. With the assistance of reconfiguration timing-driven mechanisms, relevant reconfiguration decision optimization algorithms, and expert knowledge bases, the optimal reconfiguration scheme of CPMPS can be constructed. The restructuring scheme is optimized at three levels: manufacturing resource level, unit level, and system level.

[0054] CPMPS is a flexible manufacturing system capable of rapidly responding to market demands. By adding, modifying, and deleting modular resource objects, it can quickly reconfigure the system's processing functions and production capacity, thereby achieving reconfiguration at the system structure, hardware, and software levels. This is the most direct manifestation of the high flexibility of the CPMPS system. However, despite its high flexibility, if the system is not reconfigured at the right time and in the right way, it may result in either too frequent or too infrequent reconfigurations, directly increasing the reconfiguration costs of the production system and leading to other cost losses. Therefore, determining when to reconfigure CPMPS is crucial, as it can not only reduce the reconfiguration costs of the production system but also minimize production losses caused by reconfiguration. By selecting appropriate reconfiguration timing, it is possible to maximize system benefits while ensuring that the production system maintains high flexibility on an efficient and economical basis.

[0055] The steps for reconfiguring manufacturing resources to meet the production requirements of new orders are as follows: First, determine the current configuration, which refers to the existing manufacturing resource configuration in CPMPS; second, determine the manufacturing resource service catalog, which contains various types of serviced manufacturing resources in CPMPS, providing CPMPS with a retrieval service for manufacturing resources; third, perform CPMPS manufacturing resource service matching. During the matching process, a large number of reconfiguration schemes will be generated. Some of these schemes are not technically applicable, such as manufacturing resources that cannot be installed due to a lack of current implementation technology.

[0056] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0057] Example 1

[0058] Please see Figure 1 This is a flowchart illustrating the CPCPS manufacturing resource service-oriented reconfiguration method based on reconfiguration timing driven by Embodiment 1 of this application; the steps include:

[0059] S1: Package manufacturing resources into a modular manufacturing resource service catalog.

[0060] In this embodiment, various manufacturing resources in the modular production system (CPMPS), such as manufacturing execution resources and sensing resources, are encapsulated into a modular manufacturing resource service catalog for easy dynamic invocation in the future.

[0061] S2: Use a reconfiguration timing trigger strategy to determine the optimal reconfiguration time for the modular production system.

[0062] In this embodiment, three different reconfiguration timing triggering strategies are used to determine the optimal reconfiguration timing of the production system: event triggering, trend prediction, and consideration of the modular production system's processing functions, production capacity, and reconfiguration costs. The three reconfiguration decisions are detailed below:

[0063] Event triggers are the corresponding stress responses in a modular production system; for example, emergency work orders or requirements from upper management to restructure the production system. Good planning and design of event triggers can play an important supporting role in the stability of the production system.

[0064] Trend prediction involves detecting and assessing the service performance of a modular production system and predicting its reconfiguration timing. The intervals for periodic monitoring are dynamically adjusted using pre-defined algorithms, such as machine learning, to better adapt to changes in the production system. For example, machine learning algorithms can be used to predict trends in the service performance of the modular production system, including big data-driven predictions of manufacturing resource health. This allows for assessment of the current performance of the modular production system, determining the optimal reconfiguration time, and implementing reconfiguration as early as possible to minimize production impact and reduce system reconfiguration costs.

[0065] Specifically, the processing functions, production capacity, and reconfiguration costs of the modular production system are as follows: The processing functions and production capacity of the modular production system are used as the measurement objects of its operational complexity, and the complexity of the modular production system is evaluated using the information entropy measurement method. Based on the reconfiguration cost, the cusp catastrophe model in catastrophe theory is used to determine the timing of reconfiguration of the pre-constructed modular production system complexity model, thereby determining the optimal reconfiguration time point for the modular production system.

[0066] S3: Based on the manufacturing resource service catalog and the optimal reconfiguration time point, perform manufacturing resource service matching on the modular production system to obtain several reconfiguration schemes.

[0067] In this embodiment, after determining the optimal reconfiguration time, manufacturing resources are reconfigured to meet the production requirements of new orders. First, the initial manufacturing resource configuration of the modular production system is used as a baseline; manufacturing resource services are retrieved from the manufacturing resource service catalog. Then, manufacturing resource services are matched to the modular production system. During this matching process, numerous reconfiguration schemes are generated, some of which are technically inapplicable, such as manufacturing resources that cannot be installed due to a lack of current implementation technology. To reduce the search space for reconfigurable solutions, a corresponding matching mechanism is used for logical configuration and semantic analysis. Based on the manufacturing resource service catalog and the baseline, the modular production system is analyzed to obtain several reconfiguration schemes, and the feasibility of each scheme is determined. Finally, through the aforementioned manufacturing resource service matching, different reconfiguration schemes are presented to the modular production system, realizing changes to the combination of manufacturing resource services, changes to the behavior of manufacturing resource services, and changes to the manufacturing resource service catalog.

[0068] S4: Select the optimal reconstruction scheme from the several reconstruction schemes, and implement and simulate the optimal reconstruction scheme.

[0069] In this embodiment, after determining the reconfiguration of manufacturing resources in the modular production system and proposing several reconfigurable schemes, it is necessary to select the best reconfiguration scheme and finally implement it. First, the obtained reconstruction schemes are evaluated, screened, and optimized based on expert knowledge bases and related optimization algorithms, digital simulation, and other technologies, ultimately selecting an optimal reconstruction scheme. Based on this optimal scheme, the modular production system is reconstructed in the physical space, mainly including CPS address loading, communication configuration, protocol adaptation, and hardware connections, to ensure the normal operation of the production line's mechanical transmission, electrification, and digital control functions. Second, the production system is reconstructed in the information space, mainly including process route configuration reconstruction and operation control configuration reconstruction. Process route configuration reconstruction mainly involves reconstructing the process route based on the production flow and process requirements, and associating the process route with production element information such as tools, materials, process documents, quality parameters, and production specifications. Operation control configuration reconstruction mainly involves reconstructing control software such as manufacturing execution software during the production operation process. Finally, after reconstruction, data modeling of the production system is required, including the virtualization of added, modified, and deleted manufacturing resources, to update the manufacturing resource model library and provide model support for the next reconstruction of the modular production system.

[0070] After determining the refactoring strategy and mechanism, the next step is to carry out the complete refactoring process. Specifically, this involves the interconnected and interactive activities of transforming inputs into outputs. The refactoring of a modular production system is the process of transforming customized production tasks into a highly flexible modular production system that meets requirements through the operation of the production system.

[0071] This application categorizes the reconfiguration of modular production systems into two scenarios. One scenario involves new manufacturing tasks requiring a new system configuration that meets the new task's requirements for manufacturing capacity and output. However, this requires a rearrangement and recombination of manufacturing resources within the existing physical modular production system, including the system's overall configuration. A second, more complex scenario involves an initial reconfiguration process where the modular production system doesn't exist initially, rather than being built upon the existing system. The third scenario involves a significantly larger system reconfiguration process to meet the new task's manufacturing capacity requirements. Based on these scenarios and the reconfiguration strategy, this application divides the reconfiguration steps into manufacturing resource-level, unit-level, and system-level reconfiguration. Detailed explanations of each reconfiguration level are as follows:

[0072] Please see Figure 2This is a schematic diagram of the manufacturing resource level reconstruction process in the modular production system of Embodiment 1 of this application. First, it is determined whether a production system is currently available. If no production system is available, the modular production system reconstruction starts completely anew. This process of building a production system is quite complex. Since this study focuses on reconstruction activities based on the existing production system, this process belongs to production system building and is not within the scope of system reconstruction research; therefore, this application does not consider this special case. If a production system is available, the production capacity of the modular production system is evaluated. If it meets the preset requirements of the new production task, manufacturing resource services are matched based on the initial manufacturing resource configuration to obtain the corresponding reconstruction plan. The reconstruction plan after manufacturing resource service matching is reconstructed and evaluated to determine whether the currently reconstructed modular production system needs system reconstruction. If the evaluation result indicates that unit-level reconstruction is required, the process proceeds to unit-level reconstruction of the modular production system; if the evaluation result indicates that unit-level reconstruction is not required, the manufacturing resource level reconstruction is implemented.

[0073] Based on a pre-built modular production system manufacturing resource model library, a virtual production system of the modular production system is constructed in the information space. The constructed CPMPS virtual production system is simulated using a digital simulation platform to verify the rationality of the reconstruction scheme. This provides a basis for the implementation of the reconstruction scheme and addresses previously hidden problems, avoiding issues during the initial operation of the modular production system after physical space reconstruction. It also reduces the debugging time after reconstruction, enabling the modular production system to respond to market demands more quickly and improving its flexibility. If the virtual production system operates normally in the simulation results, confirming the rationality of the reconstruction scheme, the current reconstruction scheme is implemented, and the corresponding manufacturing resource catalog is adjusted and the corresponding manufacturing resource model library is updated to complete the reconstruction of the manufacturing resource level of the modular production system. If the reconstructed manufacturing resource services cannot correctly execute the preset production tasks in the simulation results, a simulation is performed using the digital simulation platform after manual adjustments to re-examine the problem until the reconstructed manufacturing resource services operate normally in the simulation results.

[0074] Unit-level reconstruction proceeds as follows: When the manufacturing resource-level reconstruction fails to meet the processing functions and production capabilities required by the new production task, unit-level reconstruction will follow the manufacturing resource-level reconstruction. The process is largely similar to that of the manufacturing resource-level reconstruction, with the key difference being that unit-level reconstruction is built upon the manufacturing resource-level reconstruction and does not involve determining the existence of the original system. After the initial generation of the unit-level reconstruction plan based on the manufacturing resource service catalog, a system reconstruction assessment is conducted using relevant expert knowledge or rules to determine whether the unit-level reconstruction meets the system processing functions and production capabilities required by the new production task. If the assessment result is unsatisfactory, a more detailed system-level reconstruction is performed after the unit-level reconstruction. If the assessment result is satisfactory, a digital simulation platform is used to simulate and verify the reconstruction plan. The specific process is similar to that of the manufacturing resource-level reconstruction and will not be elaborated further here. Through this system reconstruction process, the CPMPS unit-level reconstruction is completed.

[0075] System-level restructuring is based on the restructuring of manufacturing resources and units. The system-level restructuring process is similar to both, except that it further reduces the system restructuring evaluation process compared to unit-level restructuring. System-level restructuring is the highest level of restructuring. Completing the system-level restructuring through the above processes completes the restructuring of the modular production system.

[0076] In summary, Embodiment 1 of this application lays a solid foundation for subsequent steps by determining the initial manufacturing resource configuration of the modular production system; it constructs a manufacturing resource service catalog to achieve standardization, modularization, and service-orientation of manufacturing resources, facilitating rapid retrieval and invocation by the system; based on this, it adopts an appropriate matching mechanism, combining logical configuration and semantic reasoning, to accurately match manufacturing resource services and generate multiple feasible reconfiguration schemes; this application not only improves the response speed and flexibility of the modular production system, but also optimizes resource configuration, reduces reconfiguration costs, and provides a strong guarantee for efficient production under the customized production mode.

[0077] Example 2

[0078] Please see Figure 3 This is a schematic diagram of the structure of the CPMPS manufacturing resource service-oriented reconfiguration system based on reconfiguration timing driven according to Embodiment 2 of this application; the specific content includes:

[0079] Encapsulation Module: Encapsulates manufacturing resources into a modular catalog of manufacturing resource services;

[0080] Analysis module: Employs a refactoring timing trigger strategy to determine the optimal refactoring time for the modular production system;

[0081] Reconfiguration configuration module: Based on the manufacturing resource service catalog and the optimal reconfiguration time point, the modular production system is matched with manufacturing resource services to obtain several reconfiguration schemes;

[0082] Implementation module: Select the optimal reconstruction scheme from the several reconstruction schemes, and implement and simulate the optimal reconstruction scheme.

[0083] Example 3

[0084] Please see Figure 4 This is a schematic diagram of the device structure in Embodiment 3 of this application. The device 50 includes a processor 51 and a memory 52 coupled to the processor 51.

[0085] The memory 52 stores program instructions for implementing the above-described CPMPS manufacturing resource service-oriented reconfiguration method based on reconfiguration timing.

[0086] The processor 51 is used to execute program instructions stored in the memory 52 to implement CPMPS manufacturing resource service reconfiguration based on reconfiguration timing.

[0087] The processor 51 can also be referred to as a CPU (Central Processing Unit).

[0088] Processor 51 may be an integrated circuit chip with signal processing capabilities. Processor 51 may also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor may be a microprocessor or any conventional processor.

[0089] Example 4

[0090] Please see Figure 5 This is a schematic diagram of the storage medium in Embodiment 4 of this application. The storage medium in this embodiment stores a program file 61 capable of implementing all the above methods. This program file 61 can be stored in the storage medium in the form of a software product, including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, or devices such as computers, servers, mobile phones, and tablets.

[0091] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, apparatus, article, or method. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, apparatus, article, or method that includes that element.

[0092] The above description is only a preferred embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural changes made based on the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

[0093] Although embodiments of this application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the appended claims and their equivalents.

[0094] Of course, the present invention may have many other embodiments. Based on this embodiment, other embodiments obtained by those skilled in the art without any creative effort are all within the scope of protection of the present invention.

Claims

1. A CPCPS manufacturing resource service-oriented reconfiguration method based on reconfiguration timing, characterized in that, include: Package manufacturing resources into a modular manufacturing resource service catalog; A reconfiguration timing triggering strategy is used to determine the optimal reconfiguration time point for a modular production system. Based on the manufacturing resource service catalog and the optimal reconfiguration time point, the modular production system is matched with manufacturing resource services to obtain several reconfiguration schemes; Select the optimal reconstruction scheme from the aforementioned reconstruction schemes, and implement and simulate the optimal reconstruction scheme; specifically, this includes the following steps: According to the optimal reconfiguration scheme, the modular production system is reconfigured in both physical and information spaces; the reconfiguration of the modular production system includes: reconfiguration at the manufacturing resource level, reconfiguration at the unit level, and reconfiguration at the system level. After reconstruction, data modeling is performed on the modular production system, including adding, modifying, and deleting manufacturing resources; The reconstruction of the manufacturing resource level is as follows: assess the production capacity of the modular production system; if it meets the preset requirements of the new production task, then perform manufacturing resource service matching based on the initial manufacturing resource configuration to obtain the corresponding reconstruction scheme. The refactoring scheme after matching manufacturing resource services is refactored to determine whether the current refactored modular production system needs system refactoring. If the assessment result indicates that unit-level restructuring is required, then proceed to the modular production system unit-level restructuring; if the assessment result indicates that unit-level restructuring is not required, then proceed to the manufacturing resource-level restructuring. Based on a pre-built modular production system manufacturing resource model library, a virtual production system of the modular production system is constructed in the information space; the virtual production system is simulated and verified based on a digital simulation platform. If the virtual production system described in the simulation results is running normally, then the current reconstruction scheme is implemented, and the corresponding manufacturing resource catalog is adjusted and the corresponding manufacturing resource model library is updated to complete the reconstruction of the manufacturing resource level of the modular production system; if the reconstructed manufacturing resource service in the simulation results cannot correctly execute the preset production tasks, then the problem is re-examined by using a digital simulation platform after manual adjustment, until the reconstructed manufacturing resource service in the simulation results is running normally. The unit-level reconstruction is as follows: when the reconstruction of the manufacturing resource level does not meet the processing functions and production capacity required by the preset new production task, the modular production system is reconstructed at the unit level; the unit-level reconstruction is based on the reconstruction of the manufacturing resource level. The system-level reconstruction is as follows: based on the unit-level reconstruction, the system-level reconstruction is carried out; the system-level reconstruction is the highest-level reconstruction, and the reconstruction of the modular production system is completed upon completion of the system-level reconstruction.

2. The CPCPS manufacturing resource service-oriented reconfiguration method based on reconfiguration timing as described in claim 1, characterized in that, The step of determining the optimal reconfiguration time point of the modular production system using a reconfiguration timing triggering strategy specifically includes the following steps: The reconfiguration timing triggering strategy includes: event triggering, trend prediction, processing functions and production capacity of the modular production system, and reconfiguration cost. The event triggering refers to the stress response that corresponds to the event in the modular production system; The trend prediction involves detecting and judging the service performance of the modular production system and predicting the reconfiguration time of the modular production system; the time interval for periodic detection is dynamically adjusted using a preset algorithm. The processing function, production capacity, and reconfiguration cost of the modular production system are specifically defined as follows: the processing function and production capacity of the modular production system are used as the complexity of the operation of the modular production system, and the complexity of the modular production system is evaluated using the information entropy measurement method; based on the reconfiguration cost, the cusp catastrophe model in catastrophe theory is used to determine the timing of reconfiguration of the pre-constructed modular production system complexity model, and the optimal reconfiguration time point of the modular production system is determined.

3. The CPCPS manufacturing resource service-oriented reconfiguration method based on reconfiguration timing as described in claim 1, characterized in that, The step of matching manufacturing resource services to the modular production system based on the manufacturing resource service catalog and the optimal reconfiguration time point to obtain several reconfiguration schemes specifically includes the following steps: The initial manufacturing resource configuration of the modular production system is used as a reference point; The modular production system is searched using the manufacturing resource service catalog. The corresponding matching mechanism is used for logical configuration and semantic analysis. Based on the manufacturing resource service catalog and benchmark, the modular production system is analyzed to obtain several reconstruction schemes for the modular production system.

4. A system for a CPMPS manufacturing resource service-oriented reconfiguration method based on reconfiguration timing as described in any one of claims 1-3, characterized in that, include: Encapsulation Module: Encapsulates manufacturing resources into a modular catalog of manufacturing resource services; Analysis module: Employs a refactoring timing trigger strategy to determine the optimal refactoring time for the modular production system; Reconfiguration configuration module: Based on the manufacturing resource service catalog and the optimal reconfiguration time point, the modular production system is matched with manufacturing resource services to obtain several reconfiguration schemes; Implementation module: Select the optimal reconstruction scheme from the several reconstruction schemes, and implement and simulate the optimal reconstruction scheme.

5. A device, characterized in that, The device includes a processor and a memory coupled to the processor, wherein the memory stores program instructions for implementing the CPMPS manufacturing resource service-oriented reconfiguration method based on reconfiguration timing as described in any one of claims 1-3; the processor is used to execute the program instructions stored in the memory to implement the CPMPS manufacturing resource service-oriented reconfiguration based on reconfiguration timing.

6. A storage medium, characterized in that, The system stores processor-executable program instructions for executing the CPMPS manufacturing resource service-oriented reconfiguration method based on reconfiguration timing as described in any one of claims 1-3.

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