Automobile injection mold full life cycle management system based on digital twinning

Abstract

The invention discloses an automobile injection mold full life cycle management system based on digital twinning, and belongs to the technical field of digital twinning and mold manufacturing. The system comprises a reference establishment module used for acquiring high-precision three-dimensional geometric data of a mold in an initial stage of a mold life cycle, and generating deviation field data quantified with manufacturing deviation by comparing the high-precision three-dimensional geometric data with a design model, based on the deviation field data, constructing a verifiable digital twinborn recording body which accurately corresponds to the initial physical state and has an initial version; the version evolution module is used for responding to a physical change event of the physical mold, generating a structured digital patch describing the change, and applying the digital patch to a previous version through transactional operation to generate a traceable new version integrated with change information. According to the invention, a high-fidelity and reliable digital recording and management scheme can be provided for the whole life cycle of the mold, and the transparency and reliability of mold life management are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital twinning and mold manufacturing, and particularly relates to a full life cycle management system for an automobile injection mold based on digital twinning. BACKGROUND

[0002] In modern automobile manufacturing, injection molds are the core process equipment for ensuring mass production of high-quality plastic parts such as automobile interior and exterior parts. The performance, service life and health status of the mold directly affect the quality, production efficiency and manufacturing cost of the final product. In order to fine manage high-value mold assets, digital twinning technology is introduced into this field, aiming to realize monitoring and performance prediction of the running state of the physical mold by creating a digital model of the physical mold.

[0003] However, there is a fundamental technical problem in the existing digital twinning application: there is a lack of a strict and verifiable binding relationship between the digital model and the physical entity, which leads to a gradual disconnection between the two states over time. Specifically, first, the existing digital twinning model is usually created directly based on an idealized computer-aided design (CAD) model, which fails to accurately reflect the initial geometric deviations that the physical mold has at the time of manufacturing completion due to factors such as machining tolerances and assembly stresses, resulting in a "congenital deficiency" of the digital twinning, which reduces the accuracy of the simulation from the source. Secondly, the physical mold will undergo multiple physical changes such as repair, maintenance and modification during its long service life, which will significantly change its local geometry and material properties. However, the existing management system usually has incomplete and inaccurate records of such changes, or only text-based logs, which cannot quantify and synchronize these physical changes to the digital twinning model, resulting in a gradual "distortion" of the digital twinning model in its life cycle, which cannot truly reflect the current state of the physical entity.

[0004] This disconnection between the digital and physical worlds makes the existing digital twinning model difficult to serve as a reliable analysis basis and traceable evidence when facing complex production quality problems, and the credibility of its digital expression as a core asset is greatly reduced. SUMMARY

[0005] The present application provides a full life cycle management system for an automobile injection mold based on digital twinning to solve the technical problems of disconnection between the digital twinning model and the physical entity state, lack of verifiability and traceability in the prior art.

[0006] In view of the above problems, the present application provides a full life cycle management system for an automobile injection mold based on digital twinning, comprising: a reference establishment module configured to: acquire high-precision three-dimensional geometric data of the automobile injection mold in an initial physical state; perform geometric comparison between the high-precision three-dimensional geometric data and a preset design model of the mold to generate deviation field data for quantifying manufacturing deviation between the two; and based on the deviation field data, construct an initial version of a verifiable digital twin record body that accurately corresponds to the initial physical state; a version evolution module configured to: generate a structured digital patch for describing changes in geometric or physical properties caused by the physical change in response to a physical change implemented on the physical mold; and apply the digital patch to the previous version of the verifiable digital twin record body through a transactional operation to generate a new version of the verifiable digital twin record body that integrates the physical change information.

[0007] The technical scheme provided by the present application has at least the following technical effects or advantages: The reference establishment module creates an initial version of a verifiable digital twin record body based on physical measurement data alone, fundamentally solving the problem of unclear digital twin sources and ensuring the authenticity and verifiability of its initial state. The version evolution module converts each physical change into a traceable and tamper-proof digital record through structured digital patches and transactional version iteration mechanisms, solving the industry problem of maintenance history black box and building a complete version evolution chain.

[0008] Since the simulation analysis is always based on the latest version of the verifiable digital twin record body that reflects the current true physical state, the accuracy of its prediction has undergone a qualitative leap, effectively guiding production and reducing the number of physical trial molds and production scrap rates. When production quality problems occur, the verifiable digital twin record bodies of different historical versions can be traced back and compared to associate the quality problem with a specific physical change event, providing unprecedented and reliable technical means for accurate attribution and diagnosis of faults. BRIEF DESCRIPTION OF DRAWINGS

[0009] Figure 1 A functional module schematic diagram of an automobile injection mold full life cycle management system based on digital twinning provided by an embodiment of the present application. DETAILED DESCRIPTION

[0010] The above technical solutions will be described in detail below in combination with the accompanying drawings and specific embodiments, so as to better understand the above technical solutions. Obviously, the described embodiments are only part of the embodiments of the present application, not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments for explaining the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present application. In addition, it should be noted that, for the convenience of description, only the parts related to the present application are shown in the drawings, not all.

[0011] Please refer to Figure 1 A digital twin-based full life cycle management system for an automotive injection mold, comprising: A reference establishment module configured to: Obtain high-precision three-dimensional geometric data of the automotive injection mold in an initial physical state; Geometrically compare the high-precision three-dimensional geometric data with a pre-set design model of the mold to generate deviation field data for quantifying the manufacturing deviation between the two; And based on the deviation field data, an initial version of a verifiable digital twin record corresponding to the initial physical state is constructed; A version evolution module configured to: In response to a physical change implemented on the physical mold, a structured digital patch is generated, which describes the change in geometric or physical properties caused by the physical change; And through a transactional operation, the digital patch is applied to the previous version of the verifiable digital twin record to generate a new version of the verifiable digital twin record that integrates the physical change information.

[0012] In the embodiments of the present application, the function of the reference establishment module is to create a version number 1 verifiable digital twin record corresponding to the initial physical state for a specific, newly manufactured physical mold.

[0013] This baseline establishment process is triggered by a clear business event. When a brand new automotive injection mold has completed all the mechanical processing, assembly, research, polishing and other processes within the manufacturing enterprise, and passed the factory quality inspection, it is in the final physical state of completion and delivery. At this time, the mold is transferred to a dedicated, environmentally controlled metrology room. The workshop management system automatically updates the state of the mold to "to be documented". This change of state constitutes a digital signal that automatically triggers the start of this baseline establishment process. The system background creates a job task associated with the physical identity of the mold, such as the mold asset number, and notifies the metrology engineer to start the subsequent physical data collection operation. This step ensures the creation of a verifiable digital twin record based on a clear, universally recognized physical state representing the starting point of the mold's life cycle.

[0014] After the process is triggered, the system will guide the metrology engineer to perform high-precision three-dimensional geometric data acquisition. The goal of this step is to non-destructively, completely and accurately capture all key geometric information of the mold in the initial physical state.

[0015] In this embodiment, the high-precision three-dimensional geometric data is high-density point cloud data obtained by a high-precision three-dimensional scanning device.

[0016] Specifically, an industrial-grade structured light three-dimensional scanner is used, which has a single-scan accuracy better than 0.01 mm. The detailed technical implementation steps of data acquisition are as follows: First, surface pretreatment is performed to eliminate the interference of the high-gloss surface of the mold steel on the structured light measurement and to improve the data acquisition quality. The operator first uses a special optical cleaner to thoroughly clean the mold cavity, core and mold surface of the mold to be measured to remove oil and dust. Then, a high-atomizing spray gun is used to uniformly spray a layer of volatile white developer with a thickness controlled below five microns on the surface to be measured.

[0017] Second, multi-angle scanning is performed. The operator places the mold on a high-precision automatic turntable. The scanner works with the turntable to perform a pre-set multi-angle scanning sequence. For example, every 45 degrees of rotation of the turntable, the scanner performs a scan from three different heights, such as a pitch angle of +30 degrees, 0 degrees and -30 degrees. After completing a 360-degree rotation, the system has automatically obtained at least twenty-four local point clouds from different angles. Then, the system software automatically performs point cloud registration and splicing algorithms using the common feature points in the overlapping areas of the point clouds to fuse all local point clouds into a single, complete whole point cloud.

[0018] Finally, data post-processing, after splicing is completed, the system performs an automatic post-processing procedure, including removing outliers and noise points, filling small holes in accordance with the continuity of the curved surface, and simplifying the data sampling to optimize the file size while ensuring the characteristics. The final high-density point cloud file contains millions or even hundreds of millions of discrete points with three-dimensional coordinates, which constitutes a digital representation of the initial geometry of the physical mold. As an alternative or supplementary implementation, for molds containing complex internal structures, such as molds with integrated irregular conformal cooling water channels, this step can also use industrial computed tomography technology. By performing computed tomography on the mold, the complete three-dimensional geometric data including all internal and external structures can be obtained at one time without damage. Its output form is three-dimensional body data, which can also be processed by subsequent processes.

[0019] While performing high-precision three-dimensional geometric data acquisition, to ensure the traceability of data sources, the reference establishment module will perform a process. The goal of this process is to capture and archive all context information related to this measurement activity in a structured and automated manner. The specific technical implementation steps of this process are as follows: First, the capture of the operator's identity, before starting the scanning program, the system will force the operator to log in to the operation terminal through his personal account. In a specific embodiment, the system is integrated with the enterprise's unified identity authentication system. After successful login, the system will obtain and record the unique identity of the current operator, ensuring that each data collection can be traced back to the specific person in charge.

[0020] Second, the recording of the measurement device information, the system communicates with the currently connected three-dimensional scanning device through a standardized device communication interface to obtain its measurement device identification and device calibration status. In a preferred embodiment, this communication interface is based on the Open Platform Communication Unified Architecture protocol. The system, as a client, requests to read the predefined device information node from the three-dimensional scanning device software as a server, thereby obtaining the unique serial number of the device. After obtaining the unique serial number, the system automatically queries the internal device management database of the enterprise to retrieve the latest device calibration status record associated with this unique serial number. This record usually includes the calibration certificate number, calibration date, and validity period issued by the third-party authoritative metrology institution. The system will record this certificate number as part of the metadata.

[0021] Again, the collection of environmental parameters, to eliminate the influence of environmental factors on the measurement accuracy, the system will record the environmental parameters when measuring. In a specific embodiment, the metrology chamber is installed with an environmental monitoring unit integrated with temperature and humidity sensors. This unit is connected to the system through an industrial bus protocol. During the entire duration of the scanning operation, the system will read and record the average temperature and humidity of the environment at a preset frequency, for example, once every minute. Finally, this complete set of measurement metadata, consisting of the operator's identity, the measurement device identification, the device calibration status, and the environmental parameters, will be structured and strictly data-bound with the high-density point cloud file obtained in the previous step. In a specific embodiment, this binding is achieved by creating an associated record in the database and writing the hash value of the metadata file into the header annotation information of the point cloud file, ensuring an indivisible correspondence between the two.

[0022] After successfully obtaining the high-precision three-dimensional geometric data bound with metadata, the reference establishment module converts the manufacturing error into a structured data that is computer-readable, computable, and useful for subsequent engineering analysis. The specific technical implementation path of this process is as follows: First, data preprocessing and alignment, the reference establishment module first retrieves the parametric design model corresponding to the current mold and subjected to final design review from the computer-aided design model library. Then, the module calls an optimized variant of the iterative closest point algorithm, such as the iterative closest point algorithm based on point-to-surface distance minimization, to align the high-density point cloud data obtained in the previous step with the parametric surface of the computer-aided design model in a unified three-dimensional coordinate system with high precision and optimal fitting.

[0023] Second, the calculation of normal deviation and the deviation field, after alignment, the module will traverse each data point in the high-density point cloud. For each data point, the module will find its nearest projection point on the corresponding surface of the computer-aided design model. Then, the vector from the projection point to the data point is calculated. Finally, the projection length of this vector on the surface normal vector at the projection point is calculated. This signed projection length value is the normal deviation value at this data point. A positive value indicates that the point is physically more convex than the design position, and a negative value indicates that it is more concave.

[0024] Finally, the structured packaging of data, after the normal deviation values of all point cloud data points are calculated, the system will combine the three-dimensional coordinates of each point with its corresponding normal deviation value to form a four-tuple. All these four-tuple data are organized into a structured data file. In a preferred embodiment, the file format is comma-separated values, and each row represents the complete information of a point. This comma-separated value file is the final generated deviation field data.

[0025] After successfully generating the deviation field data of the quantified physical manufacturing deviation, all the physical evidence obtained before is finally converted into a digital asset object with engineering usability and traceability. The specific technical implementation path of this process is as follows: First of all, the preparation of the initial grid model, the benchmark establishment module first calls an initial finite element grid model from the enterprise's computer aided engineering template library, which is completely consistent with the topological structure of the current mold computer aided design model. This initial grid model is an uncorrected digital object, which will serve as the basis for subsequent geometric calibration.

[0026] Secondly, the geometric calibration based on the deviation field data, the system constructs a verifiable digital twin record body which accurately corresponds to the initial physical state based on the deviation field data. The core of this construction process is to perform an accurate geometric calibration, which is realized by calling a grid deformation algorithm in a preferred embodiment. Specifically, the system uses an interpolation algorithm based on radial basis functions. The system takes the deviation field data file generated in the previous step as input, takes the three-dimensional coordinates as control point positions, and takes the normal deviation values as target displacement values in the normal direction to configure the radial basis function algorithm. When the algorithm is executed, it will calculate the deformation field covering the entire model space, and apply it to each node of the initial finite element grid model. The coordinates of each node will be accurately and nonlinearly adjusted according to the deformation field value at its location. After the above node coordinate update, a new finite element grid model whose geometry can accurately reproduce the real appearance of the physical mold is generated. The system encapsulates this new grid model and formally defines it as a verifiable digital twin record body with version number 1.

[0027] Finally, the evidence storage and hash calculation, to ensure the non-tamperability of the verifiable digital twin record body version 1, the system performs a final evidence storage operation. The high-precision three-dimensional geometric data and deviation field data obtained in the previous step are collectively defined as benchmark source data. The system stores these two files together with the previously recorded measurement metadata and the generated verifiable digital twin record body version 1. In a specific embodiment, this association is achieved by creating a pointer to the storage location of these source data files for the version 1 entry in the version control database. The system uses a standard cryptographic hash algorithm, such as the 256-bit secure hash algorithm, to perform a concatenated calculation on all the contents of the benchmark source data, generating a unique 256-bit hash value. This first hash value is used as a key part of the data identification, and is written into the version control database together with other information of the verifiable digital twin record body version 1.

[0028] At this point, a complete, verified, traceable, and version number 1 verifiable digital twin record body is successfully created.

[0029] After the initial version of the verifiable digital twin record is established, the management process of the system enters the version evolution phase. This phase is executed by the version evolution module, whose function is to respond to every physical change that occurs to the physical mold during its service life, and generate a new, traceable version for its digital record.

[0030] The version evolution process of the present invention authorizes and records the maintenance operation of the physical mold through the physical identification associated with the physical mold: The starting point is the capture and authorization of a physical change event in the real world. To ensure that every physical change can be accurately and without omission digitally recorded. In a specific embodiment, the detailed technical implementation steps of this mechanism are as follows: First, the deployment and association of the physical identification. Before the mold completes the benchmark establishment and is formally put into storage, a physical identification containing its unique asset identity information is permanently fixed on the non-working area of the mold, such as the nameplate area on the side or top of the mold holder. In a preferred embodiment, this physical identification is a laser-etched two-dimensional code with high anti-fouling and wear-resistant properties. The information encoded in this two-dimensional code contains at least the asset identity information of the mold in the verifiable digital twin record system.

[0031] Second, mandatory "check-in" based on code scanning. When the physical mold needs to be repaired due to any reason, such as regular preventive maintenance, size out-of-tolerance repair due to production wear and tear, damage repair due to accidental collision, or design optimization modification according to the engineering change order, the maintenance personnel must use the mobile terminal, such as an industrial-grade tablet computer or a mobile phone, equipped with a special application program issued by the enterprise, to perform a mandatory "check-in" operation. The specific content of this operation is that the maintenance personnel selects the "start maintenance" function in the application program, and the application program activates the camera of the device. The maintenance personnel scans the two-dimensional code on the mold using the camera.

[0032] Finally, the background authorization and the automatic generation of the work order. After successfully decoding the two-dimensional code, the application will send the asset identity information obtained through a secure wireless network, such as an encrypted wireless network within the enterprise, to the background verifiable digital twin record body management engine. After receiving the request, the engine immediately performs a background authorization verification. It will query the integrated enterprise identity authentication system to confirm whether the maintenance personnel currently logged into the application have the qualifications to operate the mold; at the same time, it will query the equipment management system to confirm whether the mold is currently in a maintainable state. After verification, the system will automatically create a maintenance work order associated with the asset identity information and the maintenance personnel identity information, and issue an operation token with a preset time limit to the mobile terminal. At this time, the mold state in the system is locked as "under repair", and is ready to receive and associate a digital patch that will be generated corresponding to this physical change event. Through this series of mandatory processes starting from physical identification, the system ensures that any physical change to the mold must start with an authorized and recorded digital event, thereby avoiding the risk of inconsistency between the digital and physical worlds caused by unauthorized or unrecorded maintenance operations.

[0033] After completing the authorization and "check-in" of the physical change event, the version evolution process enters the data collection and packaging phase. The goal of this phase is to accurately and completely convert a specific maintenance or modification operation in the physical world into a computer-readable and processable digital patch. This process is completed by the maintenance personnel under the guidance of the mobile terminal application. In a specific embodiment, the technical implementation steps are as follows: First, the generation of geometric change data, this step is used to accurately capture the changes in the local geometry of the mold caused by maintenance operations. The mobile terminal application will guide the operator to use the connected portable handheld three-dimensional scanner to perform a local differential scan. The detailed process is as follows: First, before any substantial operation on the mold, the application will prompt the operator to perform a first scan on the local area about to change, generating a "before change" local point cloud model. Second, after the maintenance operation is completed, the application will prompt the operator to perform a second scan on the same area in the same position and coordinate system, usually with the help of pre-stuck positioning markers to achieve automatic alignment, generating a "after change" local point cloud model. Third, the application performs high-precision registration and difference comparison on the two local point cloud models to generate a difference model file that accurately describes the change in geometry. This file is used as the geometric change data and is stored in the digital patch to be generated.

[0034] Secondly, the generation of property change data, this step is used to record the changes of the local physical properties of the mold material caused by the repair process. The detailed process is as follows: first, the interface of the mobile terminal application presents a structured form, which contains one or more drop-down lists, and the options in the list come from the pre-set repair process knowledge base. The operator selects the specific process according to the actual situation of this repair, and inputs the key process parameters. Second, after selecting the process and inputting the parameters, the application sends these information to the background. The background system queries in the repair process knowledge base, and automatically determines and returns the change value of the material physical property in the changed area caused by the process according to the pre-set mapping rule. These query and determined values, that is, the property change data, are stored in the digital patch.

[0035] Finally, the writing and packaging of the parent version identifier, after completing the above data collection, the system performs the last step of packaging the digital patch, that is, establishing a link with the version chain. The detailed process is as follows: the version evolution module queries the version control database to obtain the latest version of the verifiable digital twin record body associated with the mold asset identity information, and reads the overall package hash value of this version. This hash value is the second hash value. The system writes this second hash value as a key field named "parent version identifier" into the data structure of the digital patch to be generated. Finally, the collected geometry change data, property change data, written parent version identifier, and metadata associated with this repair work order are packaged together into a complete and structured digital patch file, and are ready for submission.

[0036] After the structured digital patch is generated and ready, the version evolution process enters the last step, which ensures the consistency of version evolution and the integrity of data. In a preferred embodiment, the detailed technical implementation steps of this transactional operation are as follows: Firstly, locking and checking, after the transaction starts, the first step is to lock the previous version of the verifiable digital twin record body. The specific implementation is that the system applies an exclusive write lock to the record entry associated with the current asset identity information and having the highest version number in the version control database. This lock will block any other concurrent operation that may try to modify this record. After the lock is successful, the system performs a mandatory consistency check. It extracts the value of the "parent version identifier" field from the digital patch generated in the previous step, and strictly compares it with the actual hash value stored in the locked previous version of the verifiable digital twin record body entry. After the consistency check passes, the process can continue. If the check fails, the transaction will be immediately aborted and rolled back.

[0037] Second, the application and generation, after the check, the system in a temporary, isolated server memory workspace, the application of the operation of the digital patch to generate a new version. The specific content of this operation is: first, the system first loads the previous version of the three-dimensional grid model of the verifiable digital twin record. Second, according to the "geometric change data" in the digital patch, the corresponding geometric modification operation is performed on the loaded grid model, such as topological connection and re-partitioning of the grid. Third, according to the "attribute change data" in the digital patch, the system will locate to the affected grid unit, and update its associated material attribute definition. After all the changes are applied, a new version of the verifiable digital twin record model containing the physical change information is generated.

[0038] Finally, the submission or rollback, after the new version model is generated in the temporary workspace, the system calculates a new hash value of the whole as the "second hash value" of the new version, and packs it with the digital patch that triggers it, ready to write to the database. The system executes the commit instruction of the database. This instruction will write the new version of the verifiable digital twin record entry into the database, while unlocking the previous version. Thus, a successful version evolution is completed. If any step in the above "application and generation" process fails, the system will capture the exception and execute the rollback instruction of the database. This instruction will undo all operations since the beginning of the transaction, clear all temporary data and unlock, so as to maintain the state of the previous version unchanged. The system will then report the failure to the operator and record the failure log to avoid incomplete or inconsistent version records in the database.

[0039] The preferred embodiments of the application disclosed above are only used to help explain the application. The preferred embodiments do not describe all the details, and should not be understood as limiting the application to these specific embodiments. Obviously, many modifications and changes can be made according to the content of the specification. The specification selects and describes these embodiments in order to better explain the principles and practical applications of the application, so that those skilled in the art can well understand and utilize the application. The application is limited only by the claims and their entire scope and equivalents.

Claims

1. A digital-twin-based full-life-cycle management system for an automotive injection mold, characterized by, The method comprises: a reference establishing module configured to: acquire high-precision three-dimensional geometric data of the automotive injection mold in an initial physical state; perform geometric comparison between the high-precision three-dimensional geometric data and a preset design model of the mold to generate deviation field data for quantifying manufacturing deviation between the two; and based on the deviation field data, construct an initial version of a verifiable digital twin record body that accurately corresponds to the initial physical state; a version evolution module configured to: in response to a physical change implemented on the physical mold, generate a structured digital patch that describes changes in geometric properties or physical properties caused by the physical change; and through a transactional operation, apply the digital patch to the previous version of the verifiable digital twin record body to generate a new version of the verifiable digital twin record body that integrates the physical change information.

2. The digital-twin-based full life cycle management system of the automobile injection mold according to claim 1, wherein, The reference establishing module is further configured to: store the high-precision three-dimensional geometric data and the deviation field data as reference source data in association with the initial version of the verifiable digital twin record body; and calculate a first hash value of the reference source data, taking the first hash value as part of the data identification of the initial version of the verifiable digital twin record body.

3. The digital-twin-based full life cycle management system of an automobile injection mold according to claim 2, characterized in that, The version evolution module is further configured to: when generating the digital patch, write a second hash value of the previous version of the verifiable digital twin record body as a parent version pointer into the digital patch; and before performing the transactional operation, verify consistency between the parent version pointer and an actual hash value of the previous version of the verifiable digital twin record body to ensure integrity of the version chain of the verifiable digital twin record body.

4. The digital-twin-based full-lifecycle management system for an automotive injection mold according to claim 1, wherein, The reference establishing module is further configured to, during the process of acquiring the high-precision three-dimensional geometric data, synchronously record a set of measurement metadata and associate it with the initial version of the verifiable digital twin record body, the measurement metadata including operator identity, measurement device identification, device calibration status, and environmental parameters.

5. The digital-twin-based full-lifecycle management system for an automotive injection mold according to claim 1, wherein, The version evolution module is further configured to authorize and record maintenance operations on the physical mold through a physical identification associated with the physical mold, thereby associating each physical change with a corresponding digital patch.

6. The digital-twin-based full-lifecycle management system of an automotive injection mold according to claim 1, wherein, The digital patch contains: geometric change data for describing changes in geometric form; property change data for describing changes in material properties determined according to query results in a preset maintenance process knowledge base.

7. The digital-twin-based full-lifecycle management system of an automotive injection mold according to claim 1, wherein, The high-precision three-dimensional geometric data is high-density point cloud data acquired through a three-dimensional scanning device.

8. The digital-twin-based full-lifecycle management system of an automotive injection mold according to claim 3, wherein, The transactional operation includes: locking the previous version of the verifiable digital twin record body; after the consistency verification passes, applying the digital patch to generate a new version; if the application process fails, performing a rollback operation to maintain the status of the previous version unchanged.

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