Digital twin dynamic calibration system

Abstract

The invention relates to the technical field of dynamic calibration, and particularly discloses a digital twinborn dynamic calibration system, which comprises a data acquisition end, a data processing end, a digital twinborn model end, a dynamic calibration decision end and a dynamic calibration execution end, the data acquisition end is used for acquiring various data in the operation process of a physical entity in real time and transmitting the data in the acquisition process; the data processing end is used for receiving, cleaning, converting, storing, analyzing, visualizing and backing up and recovering the collected data; different data of equipment can be acquired under the action of the data acquisition end, then the data are preprocessed, the preprocessed data can establish a three-dimensional model through the digital twin model end, and the equipment can be established according to a required scene in the establishment process.

Description

Technical Field

[0001] The present invention relates to the technical field of dynamic calibration, and more particularly to a digital twin dynamic calibration system. Background Art

[0002] As a product of cutting-edge technology, the digital twin dynamic calibration system plays a key role in many fields. Based on digital twin technology, it constructs a virtual model highly similar to the physical entity, and through real-time data interaction, dynamically calibrates the state and parameters of the physical entity to ensure the accurate operation of the system.

[0003] Digital twin technology matches a virtual digital model highly consistent with the physical entity. This model can represent all the characteristics of the physical entity and can fully map the geometric dimensions and motion characteristics of the physical entity onto the digital twin model. Therefore, designing and manufacturing measuring instruments based on digital twin technology helps reduce design errors of measuring instruments, improve assembly quality, provides a function for tracking accuracy degradation, and maximizes the quality and accuracy life of measuring instruments.

[0004] Traditional technological processes mainly include steps such as design, machining, assembly, and debugging. Although multiple measurements are carried out during the process to ensure accuracy, there is a lack of overall design, coordination, and control of accuracy and errors. The final assembly and adjustment process highly relies on personal subjective experience; as a result, the tightness of the physical entity will deviate, seriously affecting product quality. Moreover, during the use process, the experience errors and uncertainty information lack management and tracking, affecting the product life.

[0005] Therefore, we specifically propose a digital twin dynamic calibration system for operations. Summary of the Invention

[0006] The purpose of the present invention is to provide a digital twin dynamic calibration system to solve the problems raised in the above background art.

[0007] To achieve the above purpose, the present invention provides the following technical solution: a digital twin dynamic calibration system, the system includes a data acquisition end, a data processing end, a digital twin model end, a dynamic calibration decision-making end, and a dynamic calibration execution end;

[0008] The data acquisition end is used to collect various types of data during the operation of the physical entity in real time, and during the collection process, the data is transmitted;

[0009] The data processing end is used to receive, clean, convert, store, analyze, visualize, and perform backup and recovery on the collected data;

[0010] The digital twin model terminal is used to establish a 3D model using advanced modeling techniques, and to update the established model in real time, and to adjust the parameters of components in a timely manner according to data;

[0011] The dynamic calibration decision-making terminal is used to compare the actual motion data of the physical entity provided by the data processing terminal with the data predicted by the digital twin model terminal, and calculate the deviation values of various parameters;

[0012] The dynamic calibration execution terminal is used to receive the calibration instructions issued by the dynamic calibration decision-making terminal in real time, and accurately analyze the instructions according to the instructions, and convert them into recognizable and executable operation instructions.

[0013] Preferably, the data acquisition terminal includes a power management module, a data collection module, and a data preprocessing module;

[0014] The power management module is used to provide efficient power supply for the data acquisition terminal, data processing terminal, digital twin model terminal, dynamic calibration decision-making terminal, and dynamic calibration execution terminal in the system;

[0015] The data collection module is used to collect the operation data of the physical entity, and the data includes size, parameters, attitude, temperature, pressure, vibration, and light intensity;

[0016] The data preprocessing module is used to perform preprocessing operations on the size, parameters, attitude, temperature, pressure, vibration, and light intensity collected by the data collection module.

[0017] Preferably, the data acquisition terminal further includes a data security module and a data cache module;

[0018] The data security module is used to encrypt the size, parameters, attitude, temperature, pressure, vibration, and light intensity processed by the data preprocessing module, and name the encrypted data separately as A1;

[0019] The data cache module is used to perform a conveying operation on the size, parameters, attitude, temperature, pressure, vibration, and light intensity processed by the data preprocessing module.

[0020] Preferably, the data processing terminal includes a data receiving module, a data cleaning module, a data conversion module, and a data storage module;

[0021] The data receiving module is used to receive the size, parameters, attitude, temperature, pressure, vibration, and light intensity sent by the data cache module;

[0022] The data cleaning module is used to perform a cleaning operation on the size, parameters, attitude, temperature, pressure, vibration, and light intensity data received by the data receiving module. The cleaning formula of the data cleaning module is as follows:

[0023] X fill = μ;

[0024] Wherein, X represents a variable or data set, fill refers to a filling operation for handling missing values, and μ is the mean of the data;

[0025] The data conversion module is used to convert the cleaned data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities; the conversion formula of the data conversion module is as follows:

[0026]

[0027] Wherein, Z is standardization; X is the original data, μ is the mean; σ is the standard deviation;

[0028] The data storage module is used to store the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities, and to name the converted data separately as B1.

[0029] Preferably, the data processing terminal further includes a data analysis module, a data visualization module, and a backup and recovery module;

[0030] The data analysis module is used to perform analysis operations on the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities, and to name the analyzed data separately as C1;

[0031] The data visualization module is used to display the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities in a visual form;

[0032] The backup and recovery module is used to back up the data of the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities, and can perform self-recovery when the data is lost

[0033] Preferably, the digital twin model terminal includes a model construction module, a performance assignment module, a simulation deduction module, and an interaction control module;

[0034] The model construction module constructs a three-dimensional solid model according to the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities;

[0035] The performance assignment module is used to assign materials, attributes, and densities to the three-dimensional solid model established by the model construction module;

[0036] The simulation deduction module is used to use the physical entity motion state and abnormal scenarios of the assigned three-dimensional solid model;

[0037] The interactive control module is used to enable users to control the three-dimensional solid model.

[0038] Preferably, the digital twin model side further includes a model management module, a security and privacy module, an analysis and optimization module, and a model update module;

[0039] The model management module is used to manage the three-dimensional solid model and track the life cycle of the model;

[0040] The security and privacy module is used to encrypt and protect the three-dimensional solid model and control the model using permission restrictions;

[0041] The analysis and optimization module is used to analyze the three-dimensional solid model and optimize the analyzed structure;

[0042] The model update module is used to re-model the modified dimension, parameter, attitude, temperature, pressure, vibration, and light intensity data.

[0043] Preferably, the dynamic calibration decision-making side includes a data comparison module, a data threshold judgment module, a decision generation module, and a decision verification module;

[0044] The data comparison module is used to compare the data deduced by the simulation deduction module with the data of the physical entity operation;

[0045] The data threshold judgment module sets reasonable variation thresholds for different parameters based on the design standards, industry specifications, and historical operation data of the physical entity, and judges whether calibration is required according to the result after comparison by the data comparison module;

[0046] The decision generation module generates a calibration decision and a non-calibration decision according to the data comparison and threshold judgment results, combined with the deduction situation of the three-dimensional solid model;

[0047] The decision verification module is used to verify the calibration decision of the decision generation module.

[0048] Preferably, the dynamic calibration execution side includes an instruction receiving and issuing module, an instruction parsing module, and an execution control module;

[0049] The instruction receiving and issuing module is used to receive the calibration decision and issue the decision instruction;

[0050] The instruction parsing module is used to parse the instruction to be issued by the instruction receiving and issuing module, convert it into an identifiable and executable operation instruction, and clarify the object of the calibration operation, the specific parameter adjustment value, and the execution time;

[0051] The priority formula of the instruction parsing module:

[0052]

[0053] Among them, Priority is the priority, and t current is the current time, and t timsstamp is the timestamp of the instruction;

[0054] The execution control module is used to execute the instructions parsed by the instruction parsing module.

[0055] Preferably, the dynamic calibration execution end further includes a fault tolerance recovery module and a feedback detection module;

[0056] The fault tolerance recovery module is used to perform a reset operation after an error operation occurs in the execution control module;

[0057] The feedback detection module is used to provide real-time feedback to the dynamic decision calibration decision end when adjusting the device.

[0058] Compared with the prior art, the beneficial effects of the present invention are:

[0059] 1. In the present invention, under the action of the data acquisition end, different data of the device can be collected, and then the data is preprocessed. The preprocessed data will be used to establish a three-dimensional solid model through the digital twin model end. Moreover, during the establishment process, the device will be established according to the required scenario, and after the establishment, the model can be updated in real time, so as to ensure the authenticity of the three-dimensional solid model. And through the deduction of the three-dimensional solid model, the part that needs to be calibrated for the physical entity can be obtained, thereby improving the calibration effect.

[0060] 2. In the present invention, under the action of the dynamic calibration decision end, the data deduced from the three-dimensional solid model and the data of the physical entity can be compared to obtain whether the calibration is feasible and whether the physical entity needs to be calibrated, reducing unnecessary calibration steps. Secondly, after the calibration instruction is generated, the instruction can be verified through the decision verification module, thereby validating the feasibility of the calibration.

[0061] 3. In the present invention, under the action of the instruction parsing module, the priorities of the calibration instructions can be assigned, so as to improve the calibration efficiency and avoid repetitive operations; secondly, under the action of the fault tolerance recovery module, a reset operation can be performed after calibration errors to avoid calibration misalignment, and under the feedback detection module, real-time feedback can be provided to the dynamic decision calibration end, so as to adjust the calibration instructions in real time based on the feedback data. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0063] Figure 1 It is the architecture diagram of the digital twin dynamic calibration system of the present invention;

[0064] Figure 2 It is the architecture diagram of the data processing terminal in the digital twin dynamic calibration system of the present invention;

[0065] Figure 3 It is the construction diagram of the digital twin model terminal in the digital twin dynamic calibration system of the present invention; Specific Embodiments

[0066] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0067] Please refer to Figures 1 to 3 , the present invention provides a technical solution:

[0068] Embodiment 1

[0069] Figure 1 - Figure 2 As shown, the system includes a data acquisition terminal, a data processing terminal, a digital twin model terminal, a dynamic calibration decision-making terminal, and a dynamic calibration execution terminal;

[0070] The data acquisition terminal is used to collect various data during the operation of the physical entity in real time, and during the collection process, the data is transmitted;

[0071] The data processing terminal is used to receive, clean, convert, store, analyze, visualize, and backup and restore the collected data;

[0072] The digital twin model terminal is used to establish a three-dimensional model using advanced modeling techniques, and the established model is updated in real time, and the parameters of the components are adjusted in a timely manner according to the data;

[0073] The dynamic calibration decision-making terminal is used to compare the actual motion data of the physical entity provided by the data processing terminal with the data predicted by the digital twin model terminal, and calculate the deviation values of various parameters;

[0074] The dynamic calibration execution end is used to receive the calibration instructions issued by the automatic dynamic calibration decision end in real time, and accurately parse the instructions according to the instructions, and convert them into recognizable and executable operation instructions.

[0075] The data acquisition end includes a power management module, a data collection module, and a data preprocessing module;

[0076] The power management module is used to provide efficient power supply to the data acquisition end, data processing end, digital twin model end, dynamic calibration decision end, and dynamic calibration execution end in the system;

[0077] The data collection module is used to collect the operation data of the physical entity, and the data includes size, parameters, attitude, temperature, pressure, vibration, and light intensity;

[0078] The data preprocessing module is used to perform preprocessing operations on the size, parameters, attitude, temperature, pressure, vibration, and light intensity collected by the data collection module.

[0079] The data acquisition end further includes a data security module and a data cache module;

[0080] The data security module is used to encrypt the size, parameters, attitude, temperature, pressure, vibration, and light intensity processed by the data preprocessing module, and separately name the encrypted data as A1;

[0081] The data cache module is used to convey the size, parameters, attitude, temperature, pressure, vibration, and light intensity processed by the data preprocessing module.

[0082] Embodiment 2

[0083] Figure 1 - Figure 3 As shown, the data processing end includes a data receiving module, a data cleaning module, a data conversion module, and a data storage module;

[0084] The data receiving module is used to receive the size, parameters, attitude, temperature, pressure, vibration, and light intensity sent by the data cache module;

[0085] The data cleaning module is used to perform cleaning operations on the size, parameters, attitude, temperature, pressure, vibration, and light intensity data received by the data receiving module. The cleaning formula of the data cleaning module is as follows:

[0086] X fill = μ;

[0087] Among them, X represents a variable or data set, fill refers to the filling operation for processing missing values, and μ is the mean value of the data;

[0088] The data conversion module is used to convert the cleaned data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities; the conversion formula of the data conversion module is as follows:

[0089]

[0090] Among them, Z is for standardization; X is the original data, μ is the mean value; σ is the standard deviation;

[0091] The data storage module is used to store the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities, and to name the converted data separately as B1.

[0092] The data processing end also includes a data analysis module, a data visualization module, and a backup and recovery module;

[0093] The data analysis module is used to perform analysis operations on the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities, and to name the analyzed data separately as C1;

[0094] The data visualization module is used to display the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities in a visual form;

[0095] The backup and recovery module is used to back up the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities, and can perform self-recovery when the data is lost.

[0096] The digital twin model end includes a model construction module, a performance assignment module, a simulation and deduction module, and an interaction control module;

[0097] The model construction module constructs a three-dimensional solid model based on the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities;

[0098] The performance assignment module is used to assign materials, attributes, and densities to the three-dimensional solid model established by the model construction module;

[0099] The simulation and deduction module is used to use the physical entity motion state and abnormal scenarios of the assigned three-dimensional solid model;

[0100] The interaction control module is used to allow users to control the three-dimensional solid model.

[0101] The digital twin model end also includes a model management module, a security and privacy module, an analysis and optimization module, and a model update module;

[0102] The model management module is used to manage the three-dimensional solid model and track the life cycle of the model;

[0103] The security and privacy module is used to encrypt and protect the 3D solid model and control the model using permission restrictions;

[0104] The analysis and optimization module is used to analyze the 3D solid model and optimize the structure after analysis;

[0105] The model update module is used to remodel the modified size, parameter, attitude, temperature, pressure, vibration, and light intensity data.

[0106] The dynamic calibration decision-making end includes a data comparison module, a data threshold judgment module, a decision generation module, and a decision verification module;

[0107] The data comparison module is used to compare the data deduced by the simulation deduction module with the data of the physical entity operation;

[0108] The data threshold judgment module sets reasonable variation thresholds for different parameters according to the design standards, industry specifications, and historical operation data of the physical entity, and judges whether calibration is required according to the result after comparison by the data comparison module.

[0109] The decision generation module generates calibration decisions and non-calibration decisions according to the data comparison and threshold judgment results, combined with the deduction situation of the 3D solid model;

[0110] The decision verification module is used to verify the calibration decision of the decision generation module.

[0111] Embodiment III

[0112] Figure 1 As shown, the dynamic calibration execution end includes an instruction receiving and issuing module, an instruction parsing module, and an execution control module;

[0113] The instruction receiving and issuing module is used to receive calibration decisions and issue decision instructions;

[0114] The instruction parsing module is used to parse the pending instructions issued by the instruction receiving and issuing module, convert them into recognizable and executable operation instructions, and clarify the object of the calibration operation, the specific parameter adjustment value, and the execution time;

[0115] Instruction parsing module priority formula:

[0116]

[0117] Among them, Priority is the priority, t current is the current time, t timsstamp is the timestamp of the instruction;

[0118] The execution control module is used to execute the instructions parsed by the instruction parsing module.

[0119] The dynamic calibration execution end further includes a fault tolerance recovery module and a feedback detection module;

[0120] The fault tolerance recovery module is used to perform a reset operation after the execution control module generates an incorrect operation;

[0121] The feedback detection module is used to provide real-time feedback to the dynamic decision-making calibration decision end when adjusting the device.

[0122] In the present invention, under the action of the data acquisition end, different data of the device can be collected, and then the data is preprocessed. The preprocessed data will be used to establish a three-dimensional solid model through the digital twin model end. Moreover, during the establishment process, the device will be established according to the required scenario, and after the establishment, the model can be updated in real time, so as to ensure the authenticity of the three-dimensional solid model. And through the deduction of the three-dimensional solid model, the part of the physical entity that needs to be calibrated can be obtained, thereby improving the calibration effect; under the action of the dynamic calibration decision end, the data deduced from the three-dimensional solid model and the data of the physical entity can be compared to obtain whether the calibration is feasible and whether the physical entity needs to be calibrated, reducing unnecessary calibration steps. Secondly, after the calibration instruction is generated, the instruction can be verified through the decision verification module, so as to confirm the feasibility of the calibration; under the action of the instruction parsing module, the priorities of the calibration instructions can be assigned, so as to improve the calibration efficiency and avoid repetitive operations; secondly, under the action of the fault tolerance recovery module, a reset operation can be performed after calibration errors to avoid calibration misalignment, and under the feedback detection module, real-time feedback can be provided to the dynamic decision-making calibration end, so as to adjust the calibration instruction in real time according to the feedback data.

[0123] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. Digital twin dynamic calibration system, characterized in that: The system includes a data acquisition end, a data processing end, a digital twin model end, a dynamic calibration decision-making end, and a dynamic calibration execution end; The data acquisition end is used to collect various types of data during the operation of the physical entity in real time, and during the collection process, the data is transmitted; The data processing end is used to receive, clean, transform, store, analyze, visualize, and backup and restore the collected data; The digital twin model end is used to establish a three-dimensional model using advanced modeling techniques, and in addition, the established model is updated in real time, and the parameters of the components are adjusted in a timely manner according to the data; The dynamic calibration decision-making end is used to compare the actual motion data of the physical entity provided by the data processing end with the data predicted by the digital twin model end, and calculate the deviation values of various parameters; The dynamic calibration execution end is used to receive the calibration instructions issued by the dynamic calibration decision-making end in real time, and accurately parse the instructions according to the instructions, and convert them into recognizable and executable operation instructions.

2. The digital twin dynamic calibration system according to claim 1, wherein: The data acquisition end includes a power management module, a data collection module, and a data preprocessing module; The power management module is used to provide efficient power supply to the data acquisition end, data processing end, digital twin model end, dynamic calibration decision-making end, and dynamic calibration execution end in the system; The data collection module is used to collect the operation data of the physical entity, and the data includes dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities; The data preprocessing module is used to perform preprocessing operations on the dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities collected by the data collection module.

3. The digital twin dynamic calibration system according to claim 2, wherein: The data acquisition end further includes a data security module and a data cache module; The data security module is used to encrypt the dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities processed by the data preprocessing module, and name the encrypted data separately as A1; The data cache module is used to convey the dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities processed by the data preprocessing module.

4. The digital twin dynamic calibration system according to claim 1, wherein: The data processing end includes a data reception module, a data cleaning module, a data conversion module, and a data storage module; The data reception module is used to receive the dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities sent by the data cache module; The data cleaning module is used to perform cleaning operations on the data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities received by the data reception module. The cleaning formula of the data cleaning module is as follows: X fill = μ; Among them, X represents a variable or data set, fill refers to the filling operation used to process missing values, and μ is the mean of the data; the data conversion module is used to convert the cleaned data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities. The conversion formula of the data conversion module is as follows: Among them, Z is the standardization; X is the original data, μ is the mean, and σ is the standard deviation; The data storage module is used to store the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities, and name the converted data separately as B1.

5. The digital twin dynamic calibration system according to claim 4, characterized in that: The data processing end further includes a data analysis module, a data visualization module, and a backup and recovery module; The data analysis module is used to perform analysis operations on the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities, and name the analyzed data separately as C1; The data visualization module is used to display the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities in a visual form; The backup and recovery module is used to back up the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities, and can perform self-recovery in case of data loss.

6. The digital twin dynamic calibration system according to claim 1, wherein: The digital twin model end includes a model construction module, a performance assignment module, a simulation and deduction module, and an interaction control module; The model construction module constructs a three-dimensional solid model based on the converted data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities; The performance assignment module is used to assign materials, attributes, and densities to the three-dimensional solid model established by the model construction module; The simulation and deduction module is used to use the physical entity motion state and abnormal scenarios for the assigned three-dimensional solid model; The interaction control module is used to allow users to control the three-dimensional solid model.

7. The digital twin dynamic calibration system according to claim 6, wherein: The digital twin model end further includes a model management module, a security and privacy module, an analysis and optimization module, and a model update module; The model management module is used to manage the three-dimensional solid model and track the life cycle of the model; The security and privacy module is used to encrypt and protect the three-dimensional solid model and control the model using permission restrictions; The analysis and optimization module is used to analyze the three-dimensional solid model and optimize the analyzed structure; The model update module is used to re-model the modified data of dimensions, parameters, postures, temperatures, pressures, vibrations, and light intensities.

8. The digital twin dynamic calibration system according to claim 1, wherein: The dynamic calibration decision end includes a data comparison module, a data threshold judgment module, a decision generation module, and a decision verification module; The data comparison module is used to compare the data deduced by the simulation and deduction module with the data of the physical entity operation; The data threshold judgment module sets reasonable variation thresholds for different parameters based on the design standards, industry specifications, and historical operation data of the physical entity, and judges whether calibration is required according to the result of the comparison by the data comparison module; The decision generation module generates calibration decisions and non-calibration decisions according to the data comparison and threshold judgment results, combined with the deduction situation of the three-dimensional solid model; The decision verification module is used to verify the calibration decisions of the decision generation module.

9. The digital twin dynamic calibration system according to claim 1, characterized in that: The dynamic calibration execution end includes an instruction receiving and issuing module, an instruction parsing module, and an execution control module; The instruction receiving and issuing module is used to receive calibration decisions and issue decision instructions; The instruction parsing module is used to parse the pending instructions issued by the instruction receiving and issuing module, convert them into recognizable and executable operation instructions, and clarify the object of the calibration operation, the specific parameter adjustment value, and the execution time; The priority formula of the instruction parsing module: Among them, Priority is the priority, and t current is the current time, and t timsstamp is the timestamp of the instruction; The execution control module is used to execute the instructions parsed by the instruction parsing module.

10. The digital twin dynamic calibration system according to claim 9, wherein: The dynamic calibration execution end further includes a fault tolerance recovery module and a feedback detection module; The fault tolerance recovery module is used to perform a reset operation after an incorrect operation occurs in the execution control module; The feedback detection module is used to provide real-time feedback to the dynamic decision calibration decision end when adjusting the device.

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