Part measurement method, device and equipment based on digital twinning and medium

Abstract

The invention discloses a part measurement method and device based on digital twinning, equipment and a medium, and relates to the technical field of data measurement, and the method comprises the steps: carrying out the preprocessing of original measurement data, and obtaining target data; according to a preset modeling requirement and the target data, modeling a preset part in the digital twinborn platform to obtain a corresponding part twinborn body; constructing an application scene model corresponding to the twinborn body of the part, and interacting the application scene model with the twinborn body of the part to obtain interaction data corresponding to the twinborn body of the part; and analyzing the interaction data to obtain a data analysis result of the twinborn body of the part, and feeding back the data analysis result to the preset measurement equipment, so that the preset measurement equipment continues to perform data measurement on the preset part based on the data analysis result. Through interaction of the part twinborn body and the application scene model and feedback operation based on the interaction result, the part measurement device carries out measurement again, and the problems of poor timeliness and low precision of part measurement are solved.

Description

Technical Field

[0001] The present invention relates to the field of data measurement technology, and in particular to a component measurement method, device, equipment and medium based on digital twins. Background Art

[0002] Digital twin technology uses information technology and twin data to build models, simulate the behavior and performance of physical entities, and optimize and make decisions through real-time data and feedback. Multi-source perception is a method of integrating all the information obtained from multi-source perception to obtain unified measurement data.

[0003] At present, in the measurement process of complex parts, it is difficult to ensure the accuracy of the measurement results because the measurement equipment has high requirements for the surface state of the parts and the accuracy calibration and inspection of the laser scanning equipment are relatively complicated. At the same time, the measurement system using deep learning and machine vision technology will be affected by environmental and spatial changes, and the deformation of the parts cannot be fed back in time, so there is a problem that the measurement results are not timely. In summary, the measurement of complex parts has the problem of inaccurate measurement results and lack of timeliness. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a component measurement method, device, equipment and medium based on digital twins, which can interact the application scenario model with the component twin to obtain corresponding interaction data, and analyze the interaction data to enable the component measurement equipment to measure the data again, thereby solving the problems of poor timeliness and low accuracy in the component measurement process. The specific scheme is as follows:

[0005] In a first aspect, the present application provides a component measurement method based on digital twins, which is applied to a digital twin platform, including:

[0006] Preprocessing the original measurement data to obtain corresponding target data; wherein the original measurement data is obtained by measuring a preset component with a preset measurement device;

[0007] Modeling the preset component in the digital twin platform according to the preset modeling requirements and the target data to obtain a corresponding component twin;

[0008] Constructing an application scenario model corresponding to the component twin, and interacting the application scenario model with the component twin to obtain interaction data corresponding to the component twin;

[0009] The interaction data is analyzed to obtain a data analysis result of the component twin, and the data analysis result is fed back to the preset measurement device so that the preset measurement device continues to perform data measurement on the preset component based on the data analysis result.

[0010] Optionally, before preprocessing the original measurement data, the method further includes:

[0011] Receive the original data sent by several of the preset measuring devices; wherein the original measurement data is initial data obtained by the several of the preset measuring devices performing overall measurement and local measurement on the preset parts according to a preset measurement scheme, and the initial data includes corresponding types of data obtained by the several of the preset measuring devices respectively.

[0012] Optionally, the constructing of an application scenario model corresponding to the component twin includes:

[0013] Determine several actual application scenarios of the preset components, and construct several application scenario models corresponding to the component twin according to each of the actual application scenarios, so as to interact each of the application scenario models with the component twin respectively to obtain interaction data corresponding to the component twin.

[0014] Optionally, analyzing the interaction data to obtain a data analysis result of the component twin includes:

[0015] Analyzing the interaction data to obtain deformation parameter values ​​of the component twin;

[0016] The deformation parameter value is compared with a preset deformation threshold to obtain a comparison result, and the data analysis result is determined according to the comparison result.

[0017] Optionally, the comparing the deformation parameter value with a preset deformation threshold to obtain a comparison result, and determining the data analysis result according to the comparison result, includes:

[0018] Comparing the magnitude relationship between the deformation parameter value and a preset first deformation threshold and a preset second deformation threshold; the preset first deformation threshold is smaller than the preset second deformation threshold;

[0019] If the deformation parameter value is less than the preset first deformation threshold, determining that the current state of the preset component is not deformed;

[0020] If the deformation parameter value is not less than the preset first deformation threshold and not greater than the preset second deformation threshold, then determining that the current state of the preset component is suspected deformation;

[0021] If the deformation parameter value is greater than the preset second deformation threshold, it is determined that the current state of the preset component is deformed.

[0022] Optionally, feeding back the data analysis result to the preset measurement device includes:

[0023] If the current state of the preset component is not deformed, first feedback information is generated and fed back to the preset measuring device, so that the preset measuring device stops measuring data for the preset component after receiving the first feedback information;

[0024] If the current state of the preset component is suspected deformation, second feedback information is generated and fed back to the preset measuring device, so that the preset measuring device continues to perform data measurement on the preset component after receiving the second feedback information;

[0025] If the current state of the preset component is deformed, third feedback information is generated and fed back to the preset measuring device, so that after the preset measuring device receives the third feedback information, it determines the deformation condition of the preset component according to the third feedback information, and generates a data measurement rule for the preset component according to the deformation condition, so as to continue to perform data measurement on the preset component according to the data measurement rule.

[0026] Optionally, modeling the preset component in the digital twin platform according to the preset modeling requirements and the target data to obtain a corresponding component twin includes:

[0027] Determining a modeling ratio between the preset component and the component twin according to the preset modeling requirement;

[0028] The preset component is modeled in the digital twin platform according to the modeling ratio and the target data to obtain the component twin.

[0029] In a second aspect, the present application provides a component measurement device based on digital twins, comprising:

[0030] A data processing module, used for preprocessing the original measurement data to obtain corresponding target data; wherein the original measurement data is obtained by measuring the preset parts with the preset measurement equipment;

[0031] A component modeling module, used for modeling the preset component in the digital twin platform according to the preset modeling requirements and the target data to obtain a corresponding component twin;

[0032] A scenario model construction module, used to construct an application scenario model corresponding to the component twin, and interact the application scenario model with the component twin to obtain interaction data corresponding to the component twin;

[0033] A data feedback module is used to analyze the interaction data to obtain a data analysis result of the component twin, and feed back the data analysis result to the preset measurement device so that the preset measurement device continues to perform data measurement on the preset component based on the data analysis result.

[0034] In a third aspect, the present application provides an electronic device, including:

[0035] Memory, used to store computer programs;

[0036] A processor is used to execute the computer program to implement the above-mentioned component measurement method based on digital twins.

[0037] In a fourth aspect, the present application provides a computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the above-mentioned digital twin-based component measurement method.

[0038] In the present application, the digital twin platform first preprocesses the original measurement data to obtain corresponding target data; wherein, the original measurement data is obtained by measuring the preset components by a preset measuring device, and then the preset components are modeled in the digital twin platform according to the preset modeling requirements and the target data to obtain the corresponding component twin, and then the corresponding application scenario model of the component twin is constructed, and the application scenario model is interacted with the component twin to obtain interaction data corresponding to the component twin, and finally, the interaction data is analyzed to obtain the data analysis result of the component twin, and the data analysis result is fed back to the preset measuring device, so that the preset measuring device can continue to perform data measurement on the preset component based on the data analysis result. In this way, by establishing a component twin corresponding to the preset component, the problems of low accuracy of component measurement results and insufficient local measurement accuracy are solved. By establishing an application scenario model corresponding to the component twin and interacting the component twin with the application scenario model, interactive data is obtained, which solves the problem of component measurement being affected by the environment. Finally, the interactive data is analyzed, and preset feedback operations are performed based on the analysis results to enable the component measurement equipment to measure the data again, which solves the problem of poor timeliness in the component measurement process and the inability to timely feedback on component deformation. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0040] Figure 1 A flow chart of a component measurement method based on digital twins disclosed in this application;

[0041] Figure 2 A schematic diagram of a multi-source sensing intelligent measurement model for digital twins disclosed in this application;

[0042] Figure 3 A processing flow chart of multi-source sensing intelligent measurement for digital twins disclosed in this application;

[0043] Figure 4 A schematic diagram of an intelligent measurement model for digital twins disclosed in this application;

[0044] Figure 5 A flowchart of a specific component measurement method based on digital twins disclosed in this application;

[0045] Figure 6 A schematic diagram of an assembly application architecture based on digital twins disclosed in this application;

[0046] Figure 7 Construct a simulation flow chart for a twin model disclosed in this application;

[0047] Figure 8 A schematic diagram of a component measurement device based on digital twin disclosed in this application;

[0048] Fig. 9 This is a structural diagram of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] At present, the measurement system using deep learning and machine vision technology is affected by environmental changes during the measurement process, and there are problems such as low measurement accuracy and poor timeliness. For this reason, the present application provides a component measurement method, which is suitable for the measurement of complex components. It should deal with the problems of limited measurement point density of the measured components, multi-sensory data fusion, and real-time update of the measurement information of the deformed components. By constructing a component twin and an application scenario model, and predicting the state of the component by performing model interaction operations, the component measurement equipment can measure the component again, thereby solving the problem of low measurement accuracy and poor timeliness of the component. It should be pointed out that due to the application and development of precision components in drones, the precision components of drones require high-precision processing and measurement, and it is necessary to ensure the dimensional accuracy and surface quality of the components to meet the strict requirements of drones for accuracy. At the same time, in order to improve performance, drones use high-performance engineering plastics combined with metal materials, which have the advantages of lightweight, shock absorption and noise reduction, impact resistance, corrosion resistance, etc., which help to improve the maneuverability of drones, and at the same time improve the requirements for each component. Therefore, the component measurement method in this application can be mainly applied to the process of precision component processing in the field of drones.

[0051] See also Figure 1 As shown, an embodiment of the present invention discloses a component measurement method based on digital twins, which is applied to a digital twin platform, including:

[0052] Step S11, preprocessing the original measurement data to obtain corresponding target data; wherein the original measurement data is obtained by measuring a preset component with a preset measurement device.

[0053] In this embodiment, the preset parts are measured by the preset measuring device to obtain the original measurement data corresponding to the preset parts, and the digital twin platform obtains the corresponding target data by preprocessing the original measurement data. The purpose of the digital twin platform to preprocess the original measurement data is to convert the original mathematical data obtained by the preset measuring device into computer data that can be recognized by the computer for model construction. The above-mentioned preprocessing operation may specifically include: inputting the original measurement data into the computer to convert the original measurement data into data that can be recognized in the computer. Before the original measurement data is preprocessed to obtain the corresponding target data, it specifically includes: receiving the original data sent by several preset measurement devices. It should be noted that the original measurement data is the initial data obtained by several preset measurement devices according to the preset measurement scheme to perform overall measurement and local measurement on the preset parts, and the initial data includes the corresponding types of data obtained by several preset measurement devices. It can be understood that the types of several preset measurement devices are different, and they are used to measure different types of data of preset parts. It should be noted that the same type of measurement data of the preset parts can also be measured by multiple preset measurement devices of the same type.

[0054] In a specific implementation, different parameters of a component can be measured by different measuring devices, for example, the surface area of ​​a preset component can be measured by a preset surface area measuring device, the volume of a preset component can be measured by a preset volume measuring device, and the weight of a preset component can be measured by a preset weight measuring device, and the surface area data, weight data, and volume data of the preset component obtained by different measuring devices can be determined as raw data. Figure 2 As shown, the multi-source sensing intelligent measurement model for digital twins in this embodiment is divided into three layers, namely the physical layer, the digital layer and the twin layer. The physical layer includes component entities and measuring equipment. The components to be measured are sensed through multi-source equipment. After multi-source sensing, detailed data of the components to be measured are obtained, and the measured data is stored in the digital layer of the model. The data is pre-processed in the digital layer. At the same time, the model library and the scene library are also stored in the digital layer to integrate multi-source sensing information and fuse the acquired real state information of components. The obtained high-quality data provides a basis for the construction and interaction of the twin digital model. Therefore, in another specific implementation, as Figure 2As shown, the preset parts can be measured in the physical layer through a variety of equipment such as a single-point laser vibrometer, a full-field scanning laser vibrometer, and a high-precision fully automatic image measuring instrument to obtain measurement data. Accordingly, after the measurement is completed, the measurement data is sent to the digital layer for storage of related data, such as measurement data, equipment data, and interface data. After storage, the data is processed including preprocessing, parameter optimization, and scene dataization, and the model library is used to build the corresponding parts twin, application scenario model, etc. Finally, the parts twin and the application scenario model are interacted in the twin layer. In this way, a multi-source perception method is used to measure complex parts, and the measurement information is stored and preprocessed through a general digital twin platform. The multi-source perception information is integrated, and the construction of the digital twin of the parts and the construction of multiple scenarios (especially extreme scenarios) are realized based on information, which helps to solve the problem of inaccurate measurement results due to the density limitation of the measurement points of the complex component structure, and effectively improve the measurement accuracy through multi-source perception.

[0055] Step S12: modeling the preset components in the digital twin platform according to preset modeling requirements and the target data to obtain corresponding component twins.

[0056] It is understandable that before using the digital twin platform, a digital twin assembly model can be constructed. For example, in order to ensure the assembly accuracy of composite products, in order to solve the problems of stress deformation during the assembly of composite components, a twin assembly model based on multi-source data can be established, which can effectively reduce the number of pre-installation times for large composite products and help improve the reliability of composite component assembly.

[0057] In this embodiment, in the digital twin platform, the preset parts are modeled according to the preset modeling requirements and the target data, which may specifically include: determining the modeling ratio of the preset parts and the parts twin according to the preset modeling requirements, and modeling the preset parts in the digital twin platform according to the modeling ratio and the target data to obtain the parts twin. In a specific implementation, in order to improve the accuracy of the subsequent interaction between the parts twin and the application scenario model, the preset parts are modeled in proportion in the digital twin platform to obtain the parts twin of the same proportion as the preset parts. In another specific implementation, if there are several preset parts with exactly the same structure and only different proportions that need to be measured, the preset parts are modeled according to any proportion to obtain the parts twin, for example, the parts twin is constructed according to the ratio of 1:2 for the preset parts: the parts twin, so that when measuring other parts with the same structure in the future, only the proportion between the parts twin and the part model to be measured is adjusted, and no modeling operation is required again. It should be noted that in order to ensure the immediate validity of the data, before modeling the preset parts, the previous measurement data needs to be cleaned up, and only the measurement data obtained by this measurement is retained. It should be noted that if Figure 3 As shown, before measuring, it is necessary to make an overall plan in combination with the preset parts and preset measuring equipment to form a parts measurement plan, and measure the preset parts according to the measurement plan. After one measurement is completed, it is determined whether there is a new preset measuring equipment to measure the preset parts. If so, the preset parts are measured according to the measurement plan; if not, the original measurement data is preprocessed for subsequent work. In this way, the digital twin technology is used to achieve 1:1 high-fidelity and accurate modeling for physical entities, processes and systems, emphasizing the correspondence between virtual space and physical space, and through multi-source perception of complex parts, multi-dimensional and comprehensive information of parts is collected to realize the construction of the digital body of parts based on the twin platform, so as to realize the update and unification of multi-source perception information through the twin platform, optimize measurement and improve accuracy. It should also be pointed out that in this embodiment, the overall planning of part perception is combined with the part entity and the perception device to form a part perception plan, and the perception device is selected according to the plan to measure the overall and layout of the parts, and the measurement parameters of the perception device and the measurement data of the parts are saved. Figure 3 As shown, it can be determined whether there is a new device for perception. If so, continue to jump to the step of measuring perception. After completing the perception of multiple devices, determine whether to enter the data processing stage by judging the perception information number.

[0058] Step S13: construct an application scenario model corresponding to the component twin, and interact the application scenario model with the component twin to obtain interaction data corresponding to the component twin.

[0059] In this embodiment, an application scenario model is constructed through a digital twin platform, and the application scenario model is interacted with the component twin to obtain interactive data corresponding to the component twin. Specifically, it may include: determining several actual application scenarios of preset components, and constructing several application scenario models corresponding to the component twin according to each actual application scenario, so as to interact each application scenario model with the component twin to obtain interactive data corresponding to the component twin. For example, in a specific embodiment, in order to ensure the validity of the data, the measurement data can be cleaned, and after the data is cleaned, the data collected by multiple sensing devices can be preprocessed, and the measurement data can be converted and stored in combination with the modeling requirements, and then the modeling of the components of the drone can be completed through the measurement data and model building requirements, and the interactive application scenario of the drone can be constructed in combination with the actual application scenario.

[0060] It is understandable that several actual application scenarios are used to simulate different types of environmental changes, and the corresponding interaction data in different types of environmental changes are obtained by interacting with the component twins. In one specific embodiment, an application scenario model of the component twin under different temperature conditions is constructed, and the interaction data between the application scenario model and the component twin based on different temperature conditions is obtained by simulating and adjusting the ambient temperature in the application scenario model. In another specific embodiment, an application scenario model of the component twin under different humidity conditions is constructed, and the interaction data between the application scenario model and the component twin based on different humidity conditions is obtained by simulating and adjusting the ambient humidity in the application scenario model. In a third specific embodiment, an application scenario model of the component twin under different pressure conditions is constructed, and the interaction data between the application scenario model and the component twin based on different pressure conditions is obtained by simulating and adjusting the pressure in the application scenario model.

[0061] Step S14: Analyze the interaction data to obtain a data analysis result of the component twin, and feed the data analysis result back to the preset measurement device so that the preset measurement device continues to perform data measurement on the preset component based on the data analysis result.

[0062] It is understandable that the data analysis results may include multiple types. For example, the data analysis results may be analysis results obtained by analyzing the interaction data under different temperature conditions, or analysis results obtained by analyzing the interaction data under different humidity conditions. In this embodiment, after obtaining the data analysis results of the component twin, the data analysis results are fed back to the corresponding type of preset measurement equipment, so that the corresponding type of preset measurement equipment continues to perform data measurement on the preset component based on the data analysis results. It should be noted that the modeling of components and application scenarios is carried out on the digital twin platform, which is a component of the intelligent measurement equipment for digital twins, such as Figure 4 As shown in the figure, the intelligent measurement model for digital twins consists of three parts, namely the entity part, the twin part and the digital twin platform interaction part. For complex parts, a multi-source system is used for measurement, information perception is performed based on the physical space, measurement information is obtained, and the information of multi-source measurement of parts is integrated and unified to provide effective data information for the virtual space twin assembly model. Digital twin technology builds a more accurate multi-source data measurement model through comprehensive perception of the physical space data information of complex parts. Then, the digital twin model of the parts constructed in the twin space is used to build a high-precision digital twin of the parts through the twin model of the parts, avoiding measurement errors caused by the density of measurement points. Through repeated optimization and real-time feedback of partial data, the real-time update of structural morphology changes caused by environmental changes is avoided, and the measurement accuracy is improved.

[0063] In this way, the intelligent measurement model using digital twins can update and unify multi-source perception information through the twin platform, optimize measurement, and through the platform interaction based on information processing, optimization analysis, etc. provided by the digital twin platform, it can obtain the status data of components in real time, compare and analyze with historical data and digital twin models of components, and promptly discover anomalies and deviations caused by changes in the spatial environment during the manufacturing process, and issue early warning prompts, thereby ensuring the accuracy of component measurement. At the same time, it also provides accurate information for component assembly in the later manufacturing process, providing support for the controllability of manufacturing decisions.

[0064] Through the above technical solution, this embodiment can use a multi-source system to measure complex parts, and perform information perception based on physical space, so as to obtain the measurement information of complex parts, so as to integrate and unify the information of multi-source measurement of parts, and provide effective data information for the twin of parts in virtual space, so as to further improve the measurement accuracy of complex parts. In addition, digital twin technology can build a more accurate multi-source data measurement model in the twin space of the digital twin platform through comprehensive perception of the physical space data information of complex parts, and the constructed multi-source data measurement model, that is, the digital twin model of parts, can provide powerful tools and technical support for the intelligent measurement of complex parts, so as to build a high-precision digital twin of parts through the twin model of parts, and avoid measurement errors caused by measurement point density. At the same time, through repeated optimization and real-time feedback of partial data, real-time updates of structural morphological changes caused by environmental changes can be avoided, and measurement accuracy can be improved.

[0065] It should be noted that the multi-source perception intelligent measurement method can ensure the timeliness and accuracy of component measurement when the measurement density is limited and the special environment affects the deformation of the component structure. The embodiment of the present application combines digital twins with multi-sensing technology to propose a multi-source perception intelligent measurement model for digital twins. The multi-source perception intelligent measurement model for digital twins is divided into three layers, namely the physical layer, the digital layer and the twin layer. The physical layer includes component entities and measuring equipment, and the components to be measured are sensed through multi-source equipment. After multi-source perception, detailed data of the components to be measured is obtained. The measured data is stored in the digital layer of the model, and the data is pre-processed in the digital layer. At the same time, the model library and the scene library are also stored in the digital layer. The multi-source perception information is integrated and the acquired real status information of the components is integrated. The obtained high-security data provides a basis for the construction and interaction of the twin digital model. And such as Figure 2 As shown, in this embodiment, the digital twins of parts interact in a variety of digital scenes, and the interaction generates feedback information. After the analysis module performs preview analysis in different scenes, especially in extreme environments, it timely analyzes the anomalies and deviations caused by changes in the space environment, and issues early warnings when deformation is likely to occur, ensuring real-time updates of part measurements; a mechanism for real-time monitoring of the state and changes of parts is established through the digital twin layer, and feedback is displayed to users through a visual interface. With data as support and information interaction and feedback guaranteed by the twin platform, it supports the optimization of the measurement accuracy of the model based on local repeated measurement data, ensures the failure of the measurement information of deformed parts, and effectively realizes the measurement time rate and accuracy of complex parts in intelligent manufacturing.

[0066] It can be seen that the embodiment of the present application first establishes a component twin corresponding to the preset component and an application scenario model corresponding to the component twin, obtains different types of interaction data by interacting the component twin with different types of application scenario models, and then analyzes the interaction data. Based on the corresponding analysis results, a preset feedback operation is performed to enable a variety of different types of component measurement equipment to perform data measurement again, thereby solving the problems of poor timeliness and low measurement accuracy in the component measurement process.

[0067] In order to improve the efficiency of component measurement and avoid repeated measurement of the same component when the component has not deformed, see Figure 5 As shown, the embodiment of the present application also discloses a specific component measurement method based on digital twins, including:

[0068] Step S21, preprocessing the original measurement data to obtain corresponding target data; wherein the original measurement data is obtained by measuring a preset component with a preset measurement device.

[0069] Step S22: modeling the preset components in the digital twin platform according to the preset modeling requirements and the target data to obtain corresponding component twins.

[0070] Step S23: construct an application scenario model corresponding to the component twin, and interact the application scenario model with the component twin to obtain interaction data corresponding to the component twin.

[0071] Step S24, analyzing the interaction data to obtain the deformation parameter value of the component twin; comparing the deformation parameter value with a preset deformation threshold to obtain a comparison result, and determining a data analysis result based on the comparison result.

[0072] In this embodiment, after the twins of the components interact in the application scenario model, the interaction data is obtained by adjusting the parameters of the scene, changing the environment, and then analyzing the interaction data to obtain the deformation parameter value. , by comparing the deformation parameter value with the threshold, the degree of deformation of the component is fed back, so as to combine the deformation degree, provide early warning feedback through the digital twin platform, and prompt the sensing device to perceive the information in time. Specifically, the size relationship between the deformation parameter value and the preset first deformation threshold and the preset second deformation threshold can be compared; wherein, the preset first deformation threshold is less than the preset second deformation threshold; if the deformation parameter value is less than the preset first deformation threshold, the current state of the preset component is determined to be undeformed; if the deformation parameter value is not less than the preset first deformation threshold and not greater than the preset second deformation threshold, the current state of the preset component is determined to be suspected deformation; if the deformation parameter value is greater than the preset second deformation threshold, the current state of the preset component is determined to be deformed. It should be noted that different types of deformation parameter values ​​have corresponding types of deformation thresholds. For example, if the surface area deformation parameters of the component twin are obtained by analyzing the interaction data, the surface area deformation parameters are compared with the corresponding preset surface area change thresholds; if the volume deformation parameters of the component twin are obtained by analyzing the interaction data, the volume deformation parameters are compared with the corresponding preset volume change thresholds.

[0073] Step S25: Feedback the data analysis result to the preset measurement device, so that the preset measurement device continues to perform data measurement on the preset component based on the data analysis result.

[0074] In this embodiment, feeding back the data analysis results to the preset measurement device may specifically include: if the current state of the preset component is undeformed, generating first feedback information to feed back to the preset measurement device, so that after the preset measurement device receives the first feedback information, it stops measuring the data of the preset component; if the current state of the preset component is suspected to be deformed, generating second feedback information to feed back to the preset measurement device, so that after the preset measurement device receives the second feedback information, it continues to measure the data of the preset component; if the current state of the preset component is deformed, generating third feedback information to feed back to the preset measurement device, so that after the preset measurement device receives the third feedback information, it determines the deformation condition of the preset component according to the third feedback information, and generates the data measurement rule of the preset component according to the deformation condition, so as to continue to measure the data of the preset component according to the data measurement rule. It can be understood that if the corresponding preset measurement device receives the first feedback information, it stops measuring the preset component; if it receives the third feedback information, it continues to measure the preset component a new time. That is to say, if Figure 3As shown, in this embodiment, the twins of the components can interact in the simulated application scenario model. Through the interaction of the drone equipment in extreme environments such as vibration, strong noise, and impact, the status information of the components in the interactive scenario is obtained, and then the signal matrix is ​​formed by comprehensively sensing the judgment signal, the scene rehearsal signal, etc. The deformation parameter value is obtained by analyzing the signal matrix , by comparing the deformation parameter value with the threshold, the deformation warning information of the component is generated. After that, it can be judged whether the component twin continues to interact in different scenes. If there is a new scene, it jumps to the step of the component twin interacting in the simulated application scene model until there is no new scene, and a warning judgment signal is formed comprehensively. If the warning judgment signal indicates that there is a possibility of deformation, the information is re-annotated, and the trigger mechanism of component measurement is set. According to the trigger mechanism, the sensing device is prompted to perceive the information in time to ensure the real-time and accurate measurement of the component.

[0075] It should be noted that if the preset measuring device receives the second feedback information, that is, the state of the preset component is suspected to be deformed, in a specific embodiment, if the preset measuring device receives the second feedback information, the preset component is continuously and repeatedly measured within a preset time, for example, the preset component is continuously and repeatedly measured within 5 minutes. If the results obtained by the repeated measurements are consistent, the current state of the preset component is judged to be undeformed, and the measurement is stopped. In another specific embodiment, if the preset measuring device receives the second feedback information, the preset component is continuously and repeatedly measured within a preset time. If the results obtained by the repeated measurements are inconsistent, the current state of the preset component is judged to be deformed, and the data obtained by the last measurement is used as the original measurement data of the preset component. In a third specific embodiment, if the preset measuring device receives the second feedback information, the value of the preset first deformation threshold is increased, and the value of the preset second deformation parameter threshold is reduced at the same time, and the preset component is measured again under the new threshold conditions to narrow the threshold parameter range of the state of the component as suspected deformation. In this way, combined with the interactive preview of the digital twin in different scenarios, by analyzing the interactive feedback information of the twin, the threshold segmentation method is used to classify the warning, forming three categories: normal, to be tested and deformed, and refining the threshold classification warning, tracking the deformation of complex parts in extreme environments, and timely updating the measurement when deformation is possible through the warning method. For example, in the case of "to be tested" and "deformation", the warning feedback triggers re-measurement, which helps to ensure the timeliness of the deformation measurement of complex parts. In other words, in this embodiment, for the measurement of complex parts, combined with multi-source perception information, a twin model of parts can be constructed on the digital twin interaction platform, and the twin model can be optimized through continuous perception information. Through information simulation of different scenarios and combined with intelligent algorithm analysis, the deformation of parts in complex environments is predicted. At the same time, through the feedback mechanism, multi-source perception is performed again in the physical space to ensure the real-time measurement of the deformation of parts, so as to ensure the timeliness and accuracy of the measurement of parts under the condition of limited measurement density and special environment affecting the deformation of the parts structure.

[0076] It should be noted that if Figure 6 As shown in the figure, the assembly architecture based on digital twins mainly includes three parts: physical layer, interaction layer, and virtual layer. The physical layer mainly includes functional modules such as data terminals, measuring equipment, and storage devices; the interaction layer mainly includes signal transmission equipment, which is used to send and receive control instructions and implement control operations; the virtual layer mainly includes model libraries, algorithm libraries and other modules for data processing. Figure 7As shown, in the model construction, the digital twin model can be constructed based on the multi-source system perception data, the virtual space digital twin assembly model can be simulated and designed, the posture parameters, axis angle parameters and interference parameter distribution models can be established, and the quality evaluation of composite component assembly can be realized by solving the model parameters. Finally, the assembly module based on digital twin is designed to realize the visualization of multi-source system measurement information and assembly quality, so as to provide guidance for physical assembly through the virtual space pre-assembly of the twin model, realize the assembly quality evaluation of the physical space entity model, and greatly reduce the incidence of assembly problems of large composite components. Based on the above technical scheme, it can be understood that in intelligent manufacturing and assembly, the accurate measurement and assembly of complex parts are very important. The precise measurement of the surface structure of complex parts and the measurement of the deformed parts are the key points to improve the accuracy and effectiveness of complex parts measurement. Therefore, this embodiment introduces digital twin technology into the measurement of complex parts, proposes a multi-source perception intelligent measurement model for digital twin, integrates multi-source perception data through digital twin technology, and solves the surface structure measurement density point effectively through multi-source data to avoid measurement errors. At the same time, on the digital twin platform, complex components are accurately modeled 1:1 through multi-source perception data, and interactive rehearsals are carried out in different scenarios. The possibility of deformation is analyzed through feedback data, and the measurement of deformed parts is completed with early warning, ensuring the real-time and accurate measurement data of complex components, providing accurate data support for subsequent intelligent assembly and use.

[0077] It can be seen that the embodiment of the present application compares the deformation parameter value with the preset threshold value to determine the current state of the preset component, and performs subsequent measurement operations on the preset component as needed according to the current state of the preset component, thereby avoiding occupying measurement resources to perform invalid measurements on the preset component when the component has not been deformed, thereby ensuring the timeliness of the component measurement data while releasing unnecessary measurement resources, thereby improving the measurement efficiency of the component. Combined with the technical solution in the previous embodiment, Figure 3 As shown in the figure, the measurement information of parts can be obtained by multi-source sensing. After the measurement information is stored, the model is built in combination with the measurement parameters. Then the model construction and measurement information are stored in the digital twin platform system. The system can simultaneously build multiple extreme scenes such as impact and extreme low temperature, so that the parts model can be previewed and interacted in the scene. The interactive feedback data is analyzed in the digital twin platform system. Combined with the analysis results, when an abnormality may occur, early warning prompts are given in time. In this way, the deviation of the precision parts of the drone can be discovered and corrected in time through the measurement data analysis of the digital twin platform system, the twin interaction drills and data analysis.

[0078] See also Figure 8 As shown, the embodiment of the present application also discloses a component measurement device based on digital twin, including:

[0079] The data processing module 11 is used to pre-process the original measurement data to obtain corresponding target data; wherein the original measurement data is obtained by measuring the preset parts with the preset measurement equipment;

[0080] A component modeling module 12, used for modeling the preset component in the digital twin platform according to the preset modeling requirements and the target data to obtain a corresponding component twin;

[0081] A scenario model construction module 13 is used to construct an application scenario model corresponding to the component twin, and interact the application scenario model with the component twin to obtain interaction data corresponding to the component twin;

[0082] The data feedback module 14 is used to analyze the interaction data to obtain the data analysis results of the component twin, and feed back the data analysis results to the preset measurement device so that the preset measurement device continues to perform data measurement on the preset component based on the data analysis results.

[0083] It can be seen that this embodiment obtains different types of interaction data by interacting the component twin with different types of application scenario models, then analyzes the interaction data, and performs preset feedback operations based on the corresponding analysis results to enable a variety of different types of component measurement equipment to measure data again, thereby solving the problems of poor timeliness and low measurement accuracy in the component measurement process.

[0084] In some specific embodiments, the component measurement device based on digital twins further includes:

[0085] A data receiving module is used to receive the original measurement data sent by several of the preset measuring devices; wherein the original measurement data is initial data obtained by the several of the preset measuring devices performing overall measurement and local measurement on the preset parts according to a preset measurement scheme, and the initial data includes corresponding types of data obtained by the several of the preset measuring devices respectively.

[0086] In some specific embodiments, the scene model construction module 13 may specifically include:

[0087] A model building unit is used to determine several actual application scenarios of the preset components, and build several application scenario models corresponding to the component twin according to each of the actual application scenarios, so as to interact each of the application scenario models with the component twin respectively to obtain interaction data corresponding to the component twin.

[0088] In some specific embodiments, the data feedback module 14 may specifically include:

[0089] A data analysis unit, used for analyzing the interaction data to obtain deformation parameter values ​​of the component twin;

[0090] The result determination submodule is used to compare the deformation parameter value with a preset deformation threshold to obtain a comparison result, and determine the data analysis result according to the comparison result.

[0091] In some specific embodiments, the result determination submodule may specifically include:

[0092] A data comparison unit is used to compare the size relationship between the deformation parameter value and a preset first deformation threshold and a preset second deformation threshold; the preset first deformation threshold is less than the preset second deformation threshold; if the deformation parameter value is less than the preset first deformation threshold, it is determined that the current state of the preset component is not deformed; if the deformation parameter value is not less than the preset first deformation threshold and not greater than the preset second deformation threshold, it is determined that the current state of the preset component is suspected deformation; if the deformation parameter value is greater than the preset second deformation threshold, it is determined that the current state of the preset component is deformed.

[0093] An information feedback unit is used to generate first feedback information to the preset measuring device if the current state of the preset component is undeformed, so that the preset measuring device stops measuring data on the preset component after receiving the first feedback information; if the current state of the preset component is suspected deformation, generate second feedback information to the preset measuring device, so that the preset measuring device continues to measure data on the preset component after receiving the second feedback information; if the current state of the preset component is deformed, generate third feedback information to the preset measuring device, so that after receiving the third feedback information, the preset measuring device determines the deformation condition of the preset component according to the third feedback information, and generates a data measurement rule for the preset component according to the deformation condition, so as to continue measuring data on the preset component according to the data measurement rule.

[0094] In a specific implementation, the component modeling module 12 may specifically include:

[0095] A ratio determination unit, used to determine a modeling ratio between the preset component and the component twin according to the preset modeling requirement;

[0096] A model building unit is used to model the preset component in the digital twin platform according to the modeling ratio and the target data to obtain the component twin.

[0097] Furthermore, the present application also discloses an electronic device. Fig. 9 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the diagram cannot be regarded as any limitation on the scope of use of the present application.

[0098] Fig. 9 A schematic diagram of the structure of an electronic device 20 provided in an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the component measurement method based on digital twins disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0099] In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0100] In addition, the memory 22 as a carrier for resource storage may be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon may include an operating system 221, a computer program 222, etc., and the storage method may be temporary storage or permanent storage.

[0101] The operating system 221 is used to manage and control the hardware devices and computer programs 222 on the electronic device 20, and can be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program that can be used to complete the component measurement method performed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 222 can further include a computer program that can be used to complete other specific tasks.

[0102] Furthermore, the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the aforementioned disclosed component measurement method based on digital twins is implemented. For the specific steps of the method, reference may be made to the corresponding contents disclosed in the aforementioned embodiments, and no further description will be given here.

[0103] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0104] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0105] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0106] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0107] The technical solution provided by the present application is introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for general technicians in this field, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A component measurement method based on digital twins, characterized in that: Applied to the digital twin platform, including: Preprocessing the original measurement data to obtain corresponding target data; wherein the original measurement data is obtained by measuring a preset component with a preset measurement device; Modeling the preset component in the digital twin platform according to the preset modeling requirements and the target data to obtain a corresponding component twin; Constructing an application scenario model corresponding to the component twin, and interacting the application scenario model with the component twin to obtain interaction data corresponding to the component twin; The interaction data is analyzed to obtain a data analysis result of the component twin, and the data analysis result is fed back to the preset measurement device so that the preset measurement device continues to perform data measurement on the preset component based on the data analysis result.

2. The component measurement method based on digital twin according to claim 1, characterized in that: Before the raw measurement data is preprocessed, the method further includes: Receive the original measurement data sent by several of the preset measuring devices; wherein the original measurement data is initial data obtained by the several of the preset measuring devices performing overall measurement and local measurement on the preset parts according to a preset measurement scheme, and the initial data includes corresponding types of data obtained by the several of the preset measuring devices respectively.

3. The component measurement method based on digital twin according to claim 1, characterized in that: The constructing of the application scenario model corresponding to the component twin includes: Determine several actual application scenarios of the preset components, and construct several application scenario models corresponding to the component twin according to each of the actual application scenarios, so as to interact each of the application scenario models with the component twin respectively to obtain interaction data corresponding to the component twin.

4. The component measurement method based on digital twin according to claim 1, characterized in that: The analyzing the interaction data to obtain the data analysis result of the component twin includes: Analyzing the interaction data to obtain deformation parameter values ​​of the component twin; The deformation parameter value is compared with a preset deformation threshold to obtain a comparison result, and the data analysis result is determined according to the comparison result.

5. The component measurement method based on digital twin according to claim 4 is characterized in that: The comparing the deformation parameter value with a preset deformation threshold to obtain a comparison result, and determining the data analysis result according to the comparison result, includes: Comparing the magnitude relationship between the deformation parameter value and a preset first deformation threshold and a preset second deformation threshold; the preset first deformation threshold is smaller than the preset second deformation threshold; If the deformation parameter value is less than the preset first deformation threshold, determining that the current state of the preset component is not deformed; If the deformation parameter value is not less than the preset first deformation threshold and not greater than the preset second deformation threshold, then determining that the current state of the preset component is suspected deformation; If the deformation parameter value is greater than the preset second deformation threshold, it is determined that the current state of the preset component is deformed.

6. The component measurement method based on digital twin according to claim 5 is characterized in that: Feeding back the data analysis result to the preset measurement device includes: If the current state of the preset component is not deformed, first feedback information is generated and fed back to the preset measuring device, so that the preset measuring device stops measuring data for the preset component after receiving the first feedback information; If the current state of the preset component is suspected deformation, second feedback information is generated and fed back to the preset measuring device, so that the preset measuring device continues to perform data measurement on the preset component after receiving the second feedback information; If the current state of the preset component is deformed, third feedback information is generated and fed back to the preset measuring device, so that after the preset measuring device receives the third feedback information, it determines the deformation condition of the preset component according to the third feedback information, and generates a data measurement rule for the preset component according to the deformation condition, so as to continue to perform data measurement on the preset component according to the data measurement rule.

7. The component measurement method based on digital twin according to any one of claims 1 to 6, characterized in that: The step of modeling the preset component in the digital twin platform according to the preset modeling requirements and the target data to obtain a corresponding component twin includes: Determining a modeling ratio between the preset component and the component twin according to the preset modeling requirement; The preset component is modeled in the digital twin platform according to the modeling ratio and the target data to obtain the component twin.

8. A component measurement device based on digital twin, characterized in that: include: A data processing module, used for preprocessing the original measurement data to obtain corresponding target data; wherein the original measurement data is obtained by measuring the preset parts with the preset measurement equipment; A component modeling module, used for modeling the preset component in the digital twin platform according to the preset modeling requirements and the target data to obtain a corresponding component twin; A scenario model construction module, used to construct an application scenario model corresponding to the component twin, and interact the application scenario model with the component twin to obtain interaction data corresponding to the component twin; A data feedback module is used to analyze the interaction data to obtain a data analysis result of the component twin, and feed back the data analysis result to the preset measurement device so that the preset measurement device continues to perform data measurement on the preset component based on the data analysis result.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the component measurement method based on digital twins as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Used to store a computer program, which, when executed by a processor, implements the component measurement method based on digital twins as described in any one of claims 1 to 7.

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