CN109445305A - A kind of the assembly precision simulating analysis and system twin based on number - Google Patents

A kind of the assembly precision simulating analysis and system twin based on number Download PDF

Info

Publication number
CN109445305A
CN109445305A CN201811257485.7A CN201811257485A CN109445305A CN 109445305 A CN109445305 A CN 109445305A CN 201811257485 A CN201811257485 A CN 201811257485A CN 109445305 A CN109445305 A CN 109445305A
Authority
CN
China
Prior art keywords
assembly
twin
model
data
precision
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201811257485.7A
Other languages
Chinese (zh)
Inventor
田富君
周红桥
陈兴玉
张红旗
魏雄
魏一雄
陈亮希
郭磊
周金文
张燕龙
苏建军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CETC 38 Research Institute
Original Assignee
CETC 38 Research Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by CETC 38 Research Institute filed Critical CETC 38 Research Institute
Priority to CN201811257485.7A priority Critical patent/CN109445305A/en
Publication of CN109445305A publication Critical patent/CN109445305A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00Systems involving the use of models or simulators of said systems
    • G05B17/02Systems involving the use of models or simulators of said systems electric

Abstract

The invention discloses a kind of the assembly precision simulating analysis and system twin based on number to be acquired the twin data of physics erecting yard, handle, and twin data information is expressed and stored for the critical process in complex product assembly;Assembly process model is obtained from three-dimensional assembly technique designing system, and is based on twin data, assembly process model is reconstructed, and generates the twin model of assembly process;The twin model of assembly process is imported in commercialization assembly tolerance analysis software and carries out assembly precision emulation and Calculation of Sensitivity;According to assembly process Simulation on Precision Analysis as a result, carry out assembling process online compensation be precisely controlled.The present invention realizes the depth integration of erecting yard physical space and information space, and for realizing that the Intelligent closed-loop of complex product assembling process controls, improving assembling quality and efficiency has great significance.

Description

A kind of the assembly precision simulating analysis and system twin based on number
Technical field
The present invention relates to a kind of Intelligent assembly precision simulation technology more particularly to a kind of assembly twin based on number Simulation on Precision Analysis method and system.
Background technique
Assembly is the key link of product development process, and part is assembled by defined technical requirements, and passes through Debugging, inspection make qualified products.According to statistics, assembly work amount accounts for entire product development workload in modern manufacturing 20%~70%, average out to 45%, assembly time accounts for the 40%~60% of entire manufacturing time.The assembling capacity of product and assembly Quality not only directly affects properties of product, but also the hand labour amount that assembly generally takes up is big, costly and to belong to product raw Is produced from the rear end of work, improving Assembling Production efficiency and assembling quality has more importantly engineering significance.With Aeronautics and Astronautics, The direction of the large scaled complex products such as automobile, ship, electronics towards intelligent, precise treatment and optical, mechanical and electronic integration is developed, and produces Product design of part becomes increasingly complex, and assembly has become the weak link in complex product development process with adjustment.These are large-scale Complex product have amount of parts is many kinds of, structure size variation greatly and shape is irregular, Single unit job lot production, assembly The features such as required precision is high, assembly coordination process is complicated, assembled in situ is generally considered to be typical discrete type assembling process, Even in the case where product component is all qualified, it is also difficult to the one-time success rate for guaranteeing Product Assembly, generally require through Cross repeatedly selection trial assembly, repair, adjustment assembly, or even disassembly, qualified products can just be assembled by doing over again.
The appearance of computer and digitizing technique is greatly promoted the fast development of mounting technology.Numeric terminal is to produce Product mounting technology and computer technology, network technology and management science intersect, merge, the result of development and application.Digitlization Combination, that is, numeric terminal technology of technology and traditional mounting technology.Numeric terminal refer to using digital mockup plan and The technology general name of the practical set process of artificial product, be based primarily upon product digital prototype carry out product coordinate scheme design and Assembling capacity analysis, and the assemble sequence to the assembling technology procedure of product, assembly path and assembly precision etc. planned, Emulation and optimization, to achieve the purpose that effectively improve product assembly quality and efficiency.(Model is defined with based on model Based Definition, MBD) extensive use of the technology in complex product development process, threedimensional model gives birth to entirely as product The unique data source for ordering the period, realizes design-technique-manufacture-assembly-detection based on threedimensional model, so that based on three-dimensional The Assembly Process planning of model and erecting yard apply more and more attention has been paid to attention.Three-dimensional assembly technique designing technique utilizes Threedimensional model is analyzed, verified and is optimized to product assemblability, detachability, maintenanceability under three-dimensional environment, and Assembling technology procedure to product includes that assemble sequence, assembly path and the assembly precision of product, assembly performance etc. are advised It draws, emulate and optimizes, to reduce the trial assembly number in kind in complex product development process, improve product assembly quality, efficiency And reliability.
Traditional Products Digital assembly simulation method is mostly based on ideal digital-to-analogue, which can be in Assembly Process planning rank Section is for checking assembly sequence, obtaining the links such as assembly path, Assembly Interference detection, assembly tolerance analysis, although in certain journey The problem of reducing assembling process on degree.However, for the weaponry assembled in situ of Single unit job lot production, Numeric terminal emulation at this stage cannot still fully meet the Real-time process schemes such as repair or the adjustment of assembled in situ generation Variation, mainly due to not considering in the assembly tolerance analysis stage from the factors such as part manufacturing error and assembling process error Caused by.It is how right through carrying out live Product Assembly operation frequently with Repairation or adjusting method in complex product assembling process Assembling process error accumulation is analyzed, and Product Assembly precision is predicted before product practical set, how according to erecting yard The reasonable reliable adjustment scheme of the practical set size real-time design of acquisition is the difficult point of current virtual assembly and numeric terminal One of.Current Virtual assemble or assembly simulation technology be not due to accounting for the practical accuracy of manufacture information of part and practical geometry The influence factors such as the contiguity constraint relationship on surface cause existing assembly precision prediction to be difficult to apply to practical set with optimization method Scene.
With generation information and the communication technology (such as Internet of Things, big data, industry internet, mobile interchange) and soft or hard The high speed development of part system (such as information physical emerging system, radio frequency identification, intelligence equipment), the twin technology of number go out Now for realize manufacturing process in physical world and information world interconnection and it is co-melting, realization product lifecycle in it is multi-source heterogeneous The Optimal Decision-making etc. of various activities provides solution during the effective integration of data and management and realization product development.
Summary of the invention
Technical problem to be solved by the present invention lies in: actual situation mapping depth is inadequate in current production assembling process, assembly Live assembling capacity predicting means missing, provides a kind of the assembly precision simulating analysis and system twin based on number.
The present invention is to solve above-mentioned technical problem by the following technical programs, and of the invention is a kind of twin based on number Assembly precision simulating analysis, comprising the following steps:
(1) twin data acquisition, expression and processing
The twin data of crucial assembly process physics erecting yard are acquired, are handled, and by twin data information into Row expression storage, makes it have the ability simulated according to twin data and twin model to actual physics assembling process;
(2) the twin model construction of assembly process
Assembly process model is obtained in three-dimensional assembly technique designing system, and is based on twin data, to assembly process Model is reconstructed, and generates the twin model of assembly process of fusion erecting yard practical set situation and actual measurement information;
(3) assembly process Simulation on Precision Analysis and Calculation of Sensitivity
The twin model of the assembly process of building is imported into commercialization assembly tolerance analysis software, it is twin to define assembly process The assembly constraint of raw model, determines simulation analysis target, determines components assemble sequence according to practical set sequence, and imitated True analysis, determines the probability distribution graph of simulation objectives size, and check sensitivity data;
(4) online compensation of assembling process
According to assembly process Simulation on Precision Analysis as a result, controlling assembling process.
As one of preferred embodiment of the invention, in the step (1), twin data include assembling process information, key Metrical information, the tooling information of feature, the expression of twin data include the expression of assembling process information, the measurement of key feature letter Breath expression, tooling information representation.
Further, the expression of the assembling process information is used based on key feature and digraph to physics assembling process Be described: node indicates key feature, and side indicates size, geometric tolerances or assembly constraint, and wherein the starting point on side indicates benchmark Feature, terminal indicate target signature, dotted line indicate inside parts or completed assembly sub-assemblies inside size, geometry Tolerance or assembly constraint, solid line indicate size, geometric tolerances or the assembly constraint to be realized after the completion of this road assembly process.
Further, the key feature is the part or components having a significant impact to this road assembly process assembling quality Geometrical characteristic, the related benchmark geometrical characteristic of positioning, clamping that the road Huo Duizhe assembly process assembling quality has a significant impact.
Further, the key feature metrical information by digitized measurement equipment and analysis system to key feature into The acquisition of row data, and pre- place is obtained after the analyses such as noise spot processing, Data Integration, data compaction processing to measurement data Measured data after reason, thus the twin data of the measurement for obtaining key feature, and technology is defined using based on model, measurement is obtained Dimensional tolerance, geometric tolerances, surface structure information is obtained to be defined in the twin model of assembly process.
Further, the expression of the tooling information is by establishing the twin model of tooling, and by the practical dimensioning of tooling Very little information, positioning, clamping precision information are defined in the twin model of tooling.
In the step (2), assembly process model is generated by three-dimensional assembly technique designing system, is this road assembler The threedimensional model corresponding to assembly processed is formed by after the completion of sequence.
The twin model of assembly process is to be with the physical entity in assembly processed of this road assembly process in the step (2) Basis is acquired by data, will be passed through synchronous actual situation mapping in entire assembly model processed in physical space, is existed using twin data Three-dimensional assembly process model is reconstructed in information space and forms threedimensional model.
The reconstruct of assembly process model includes: in the step (2)
(21) according to the practical set sequence of assembly shop this procedure components to assembly process Model Structure Tree zero Part node sequence is adjusted, and can reflect assembling process information;
(22) twin using actual measurement to the part geometry model and entire assembly model originally generated with ideal dimensions Data-driven part geometry model and entire assembly model regenerate;
(23) frock clamp and its precision information used by this road assembly process is added, i.e., the twin model of tooling is added Into assembly process model, by handling above, the twin model of assembly process is constructed, realizes three-dimensional dress under digital virtual environment Depth integration with the twin model of process and real physical model.
Determine certain size or geometric tolerances to target size or geometric tolerances by Calculation of Sensitivity in the step (3) Influence degree, to grasp the position for needing emphasis coordinated control in this process assembling process in advance, sensitivity is higher, and indicating should Size or geometric tolerances influence greatly target size assembly precision, otherwise influence small.
In the step (4), it includes improving positioning, clamping precision that assembling process, which carries out control, and emphasis improves high sensitivity Size assembly precision, reduce the low size assembly precision of sensitivity, or carry out precision controlling etc. by adjusting mechanism.
A kind of system emulated using the assembly precision simulating analysis twin based on number, the system System includes physics assembly layer, twin data perception layer, twin model layer and prediction optimization layer;
Physics assembly layer is the physical entity set of objective reality in workshop, executes the Assembling Production in workshop and to letter It ceases space and data is provided;
The twin data perception layer by being deployed in the Internet of Things in workshop, using digital measurement device, PLC, sensor, The creation data of physics assembly layer is acquired, handled and merged, generates twin number by RFID and other intelligent acquisition equipment According to;
The twin model layer is the digitlization mirror image of physics assembly shop entity, including the twin model of assembly process, dress With the twin model of environment, the twin model of assembly equipment, the twin model of assembly tool;
The prediction optimization layer is based on twin data and carries out assembly precision simulation analysis and Calculation of Sensitivity, and according to emulation As a result it carries out the online compensation of assembling process and is precisely controlled, realize the Intelligent closed-loop control of complex product assembling process.
The twin model layer is to pass through twin number based on the static models that physics assembly shop solid modelling generates According to sensing layer, the physical entities such as real-time data acquisition and monitoring, dynamically track physics assembly shop assembly equipment, tooling, tool Working condition, by the assembly shop physical entity in physical space by synchronization map information space carry out total factor reconstruction The dummy model set of formation.
Twin process model is assembled by establishing three-dimensional based on the twin assembly precision emulation of number, introduces erecting yard Practical set situation and actual measurement information, being based on twin data and twin model, with high fidelity analog physical assembly is existing in real time Field and assembling process are able to achieve assembly precision prediction, and according to practical set precision simulation as a result, real-time and accurately providing repair It is recommended that and optimization assembly method, for realize complex product science assembly and assembling quality prediction provide effective way, for Realize the Intelligent closed-loop control of complex product assembling process, improving assembling quality and efficiency has great significance.
The present invention has the advantage that assembly process simulation is emulated from Virtual assemble to actual situation combination compared with prior art Assembly simulation transformation, model data are changed from Theoretical Design model to Model Measured data, and assembling process is by digitize guidance Physics assembling process changes to physics, Virtual assemble common evolutionary.
Detailed description of the invention
Fig. 1 is flow chart of the method for the present invention;
Fig. 2 is that the present invention is based on the assembling process of key feature and digraph to express schematic diagram;
Fig. 3 is the entire assembly model schematic diagram in embodiment;
Fig. 4 is to express schematic diagram based on the assembling process of key feature and digraph in embodiment;
Fig. 5 is flatness key feature instrumentation plan in embodiment;
Fig. 6 is the assembly precision simulation analysis result schematic diagram of target size in embodiment;
Fig. 7 is that embodiment medium sensitivity calculates schematic diagram;
Fig. 8 is front precision adjustment mechanism schematic diagram in embodiment;
Fig. 9 is front precision adjustment mechanism transition support schematic diagram in embodiment;
Figure 10 is the structural block diagram of present system.
Specific embodiment
It elaborates below to the embodiment of the present invention, the present embodiment carries out under the premise of the technical scheme of the present invention Implement, the detailed implementation method and specific operation process are given, but protection scope of the present invention is not limited to following implementation Example.
As shown in figure 1-9, the present embodiment the following steps are included:
(1) twin data acquisition, expression and processing
The twin data of crucial assembly process physics erecting yard are acquired, are handled, and by twin data information into Row expression storage, can have the energy simulated according to twin data and twin model to actual physics assembling process Power.Wherein twin data include with procedural information, the metrical information of key feature, tooling information.
The expression of assembling process, which is used, is described physics assembling process based on key feature and digraph, such as Fig. 2 institute Show.Node indicates key feature, and side indicates size, geometric tolerances or assembly constraint, and wherein the starting point on side indicates reference characteristic, eventually Point indicate target signature, dotted line indicate inside parts or completed assembly sub-assemblies inside size, geometric tolerances or Assembly constraint, solid line indicate size, geometric tolerances or the assembly constraint to be realized after the completion of this road assembly process.With Fig. 3 mono- For a assemble mechanism, which is assembled by pedestal 1 and motion arm 2 through peg-in-hole assembly and end face fitting, mechanical arm end The Pose Control requirement at end is high, is the functional requirement FR of present case.According to components feature, geometric tolerances and assembly constraint, Assembling process model as shown in Figure 4 can be established.For example, FE4 is the squareness tolerance that pedestal 1 installs axial end and axis 0.01, it is the constraint relationship of inside parts, and shaft hole matching constraint of the FE2 between motion arm 2 and pedestal 1.
Key feature is the geometrical characteristic of the part or components that have a significant impact to this road assembly process assembling quality, or The related benchmark geometrical characteristic of assembly process assembling quality has a significant impact to this road positioning, clamping.Key feature measurement letter Breath carries out data acquisition to key feature by digitized measurement equipment and analysis system, and to measurement data by noise spot After the analyses such as reason, Data Integration, data compaction processing, pretreated measured data is obtained, to obtain the survey of key feature Twin data are measured, and define technology using based on model, it is fixed that measurement is obtained dimensional tolerance, geometric tolerances, surface structure information Justice is in the twin model of assembly process.
It is photogrammetric to be illustrated in figure 5 certain antenna array flatness key feature.Firstly, in each 3 central part of antenna house Target 4 is first installed in position, is then measured with photogrammetry to entire antenna array, by the coordinate of each measurement point, intends Conjunction obtains a plane, using this plane as datum plane, calculate each measurement point to the plane distance, highest point with it is minimum Point arrives the sum of plan range, the as flatness of the plane.
By establishing the twin model of tooling, and by the actual geometry information of tooling, positioning is filled for the expression of tooling information Folder precision information is defined in the twin model of tooling.
(2) the twin model construction of assembly process
Assembly process model is obtained in three-dimensional assembly technique designing system, and is based on twin data, to assembly process Model is reconstructed, and generates the twin mould of assembly process that can merge erecting yard practical set situation and actual measurement information Type realizes the depth integration of assembling process physical space and information space.The present embodiment assembly process model is assembled by three-dimensional Process design system is generated and transferred to the assembly precision simulation analysis system twin based on number, is that this road assembly process is completed It is formed by the threedimensional model corresponding to assembly processed afterwards, it is able to reflect assembling process and assemble sequence.Assembly process is twin Raw model is by this road assembly process based on assembly physical entity processed, by real-time data acquisition, by physical space In pass through synchronous actual situation mapping in entire assembly model processed, using twin data to three-dimensional assembly process model in information space It is reconstructed and forms threedimensional model.
The reconstruct of assembly process model includes: that (21) are right according to the practical set sequence of assembly shop this procedure components Assembly process Model Structure Tree components node sequence is adjusted, and can reflect assembling process information;(22) it uses original The part geometry model and entire assembly model that ideal dimensions generate utilize the actual twin data-driven part geometry model of measurement It is regenerated with entire assembly model;(23) frock clamp and its precision information used by this road assembly process is added, i.e., by work Twin model is filled to be added in assembly process model.By handling above, the twin model of assembly process is constructed, realizes that digitlization is empty The depth integration of the three-dimensional twin model of assembly process and real physical model under near-ring border.
(3) assembly process Simulation on Precision Analysis and Calculation of Sensitivity
The twin model of the assembly process of building is imported into commercialization assembly tolerance analysis software, such as TeamCenter Visualization mockup dimensional tolerance analyzes software or CETOL TOLERANCE ANALYSIS software, defines the twin model of assembly process Assembly constraint, determine simulation analysis target, determine components assemble sequence according to technological design result, and carry out emulation point Analysis, determines the probability distribution graph of simulation objectives size, as shown in Figure 6, it is assumed that the quality that target size meets 3 δ when examining is wanted It asks, then the qualification rate of target size assembly is 99.73%.Then meter sensitivity, sensitivity refer to certain size or geometric tolerances To the influence degree of target size or geometric tolerances, sensitivity is higher, indicates the size or geometric tolerances to target assembly precision It influences greatly, otherwise influences small.Be illustrated in figure 7 Calculation of Sensitivity as a result, the 1st influence of the size characteristic to target size most Greatly, reach 61.68%.Therefore, in assembling process, the assembly precision of the priority control size characteristic is answered, and it is right to relax other Target size influences the assembly precision of lesser size.
(4) online compensation of assembling process
According to assembly process Simulation on Precision Analysis as a result, controlling assembling process, including improve positioning, clamping essence Degree, emphasis improve the size assembly precision of high sensitivity, reduce the low size assembly precision of sensitivity, or by adjusting mechanism The measures such as precision controlling are carried out, to optimize assembling process, improve assembling quality.It is smart online to be illustrated in figure 8 certain radar front Spend 5 schematic diagram of adjustment mechanism.The top of adjustment mechanism 5 is front basic module 6, and lower part is antenna frame 7, adjustment mechanism 5 Transition support is divided into lower seat 51, the seat of honour 52 and 53 3 layers of normal direction adjustment mechanism by from skeleton to the sequence of front basic module, such as Shown in Fig. 9.Wherein normal direction adjustment mechanism 53 is a screw mechanism, only adjusts normal direction height, and upper bracket only adjusts X to spacing, and Undersetting then not only adjusts Y-direction spacing, to be also adjusted to roll angle, inclination angle and azimuth.
As shown in Figure 10, the present embodiment based on the twin assembly precision analogue system of number, including it is physics assembly layer, twin Raw data perception layer, twin model layer and prediction and optimization layer:
Physics assembles layer for complex product assembling activity, and physics assembly layer is primarily referred to as assembly shop objective reality Physical entity set, such as assembly equipment, assembly tooling, measuring device, in assembly processed, it is responsible for executing the assembly in workshop Production activity, and the data of physical space are provided, such as device data, personal information, environmental data.
Twin data perception layer realizes acquisition, processing and the fusion of physical layer Assembling Production data, by being deployed in assembly The manufacture Internet of Things in workshop utilizes digital measurement device, PLC, sensor, RFID, laser tracker, photogrammetric and other intelligence Equipment can be acquired, also include total station, three-dimensional coordinates measurement and other measurement methods, to the key feature during Assembling Production into The acquisition of row data, and pretreatment and data fusion are carried out to the data got, number is provided for the analysis and prediction of assembly precision According to support.
Twin model layer is the digitlization mirror image of physics assembly entity, including the twin model of assembly process, assembly environment be twin Raw model, the twin model of assembly equipment, the twin model of assembly tool.Twin model layer is with the production of physics assembly shop solid modelling Based on raw static models, by twin data perception layer, real-time data acquisition and monitoring, dynamically track physics assembly shop Assembly shop physical entity in physical space is passed through synchronization by the working condition of the physical entities such as assembly equipment, tooling, tool It is mapped in information space progress total factor and rebuilds the dummy model set to be formed.
Prediction optimization layer is to be assembled based on the core of the twin assembly precision simulation analysis of number based on twin data Simulation on Precision Analysis and Calculation of Sensitivity, and the online compensation of assembling process is carried out according to simulation result and is precisely controlled, including Positioning, clamping precision are improved, emphasis improves the size assembly precision of high sensitivity, reduces the low size assembly precision etc. of sensitivity Measure, to realize the Intelligent closed-loop control of complex product assembling process.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.

Claims (13)

1. a kind of assembly precision simulating analysis twin based on number, which comprises the following steps:
(1) twin data acquisition, expression and processing
The twin data of crucial assembly process physics erecting yard are acquired, are handled, and twin data information is subjected to table Up to storage, it is made to have the ability simulated according to twin data and twin model to actual physics assembling process;
(2) the twin model construction of assembly process
Assembly process model is obtained in three-dimensional assembly technique designing system, and is based on twin data, to assembly process model It is reconstructed, generates the twin model of assembly process of fusion erecting yard practical set situation and actual measurement information;
(3) assembly process Simulation on Precision Analysis and Calculation of Sensitivity
The twin model of the assembly process of building is imported into commercialization assembly tolerance analysis software, the twin mould of assembly process is defined The assembly constraint of type determines simulation analysis target, determines components assemble sequence according to practical set sequence, and carry out emulation point Analysis, determines the probability distribution graph of simulation objectives size, and check sensitivity data;
(4) online compensation of assembling process
According to assembly process Simulation on Precision Analysis as a result, controlling assembling process.
2. a kind of assembly precision simulating analysis twin based on number according to claim 1, which is characterized in that institute It states in step (1), twin data include assembling process information, the metrical information of key feature, tooling information, the table of twin data Up to expression, the metrical information expression of key feature, tooling information representation for including assembling process information.
3. a kind of assembly precision simulating analysis twin based on number according to claim 2, which is characterized in that institute The expression for stating assembling process information, which is used, is described physics assembling process based on key feature and digraph: node indicates to close Key feature, side indicate size, geometric tolerances or assembly constraint, and wherein the starting point on side indicates reference characteristic, and terminal indicates that target is special Sign, dotted line indicate inside parts or have completed size, geometric tolerances or the assembly constraint inside the sub-assemblies assembled, solid line Indicate this road assembly process size, geometric tolerances or the assembly constraint to be realized after the completion.
4. a kind of assembly precision simulating analysis twin based on number according to claim 2, which is characterized in that institute State the geometrical characteristic that key feature is the part or components that have a significant impact to this road assembly process assembling quality, the road Huo Duizhe The related benchmark geometrical characteristic of positioning, clamping that assembly process assembling quality has a significant impact.
5. a kind of assembly precision simulating analysis twin based on number according to claim 2, which is characterized in that institute It states key feature metrical information and data acquisition is carried out to key feature by digitized measurement equipment and analysis system, and to measurement After analysis processing of the data by noise spot processing, Data Integration, data compaction, pretreated measured data is obtained, thus The twin data of measurement of key feature are obtained, and define technology using based on model, it is public that measurement is obtained dimensional tolerance, geometry Difference, surface structure information are defined in the twin model of assembly process.
6. a kind of assembly precision simulating analysis twin based on number according to claim 2, which is characterized in that institute The expression of tooling information is stated by establishing the twin model of tooling, and by the actual geometry information of tooling, is positioned, clamping precision Information is defined in the twin model of tooling.
7. a kind of assembly precision simulating analysis twin based on number according to claim 1, which is characterized in that institute It states in step (2), assembly process model is generated by three-dimensional assembly technique designing system, is institute after the completion of this road assembly process The threedimensional model corresponding to assembly processed formed.
8. a kind of assembly precision simulating analysis twin based on number according to claim 1, which is characterized in that institute State in step (2), the twin model of assembly process be by this road assembly process based on the physical entity of assembly processed, pass through Data acquisition will pass through synchronous actual situation mapping in entire assembly model processed in physical space, using twin data in information space In three-dimensional assembly process model be reconstructed and form threedimensional model.
9. a kind of assembly precision simulating analysis twin based on number according to claim 1, which is characterized in that institute It states in step (2), the reconstruct to assembly process model includes:
(21) according to the practical set sequence of assembly shop this procedure components to assembly process Model Structure Tree components section Dot sequency is adjusted, and can reflect assembling process information;
(22) to the part geometry model and entire assembly model originally generated with ideal dimensions, the actual twin data of measurement are utilized Driving part geometry model and entire assembly model regenerate;
(23) frock clamp and its precision information used by this road assembly process is added, i.e., the twin model of tooling is added to dress With in process model, by handling above, the twin model of assembly process is constructed, realizes three-dimensional assembler under digital virtual environment The depth integration of the twin model of sequence and real physical model.
10. a kind of assembly precision simulating analysis twin based on number according to claim 1, which is characterized in that In the step (3), Calculation of Sensitivity determine certain size or geometric tolerances to the influence degree of target size or geometric tolerances, from And the position that emphasis coordinated control is needed in this process assembling process is grasped in advance, sensitivity is higher, indicates the size or geometry Tolerance influences greatly target size assembly precision, otherwise influences small.
11. a kind of assembly precision simulating analysis twin based on number according to claim 1, which is characterized in that In the step (4), it includes improving positioning, clamping precision that assembling process, which carries out control, and emphasis improves the size dress of high sensitivity With precision, the low size assembly precision of sensitivity is reduced, or carries out precision controlling etc. by adjusting mechanism.
12. a kind of use the assembly precision simulating analysis twin based on number as claimed in any one of claims 1 to 11 The system emulated, which is characterized in that the system comprises physics assembly layer, twin data perception layer, twin model layer and Prediction optimization layer;
Physics assembly layer is the physical entity set of objective reality in workshop, executes the Assembling Production in workshop and to information sky Between data are provided;
The twin data perception layer utilizes digital measurement device, PLC, sensor, RFID by being deployed in the Internet of Things in workshop With other intelligent acquisition equipment, the creation data of physics assembly layer is acquired, handled and merged, twin data are generated;
The twin model layer is the digitlization mirror image of physics assembly shop entity, including the twin model of assembly process, mounting ring The twin model in border, the twin model of assembly equipment, the twin model of assembly tool;
The prediction optimization layer is based on twin data and carries out assembly precision simulation analysis and Calculation of Sensitivity, and according to simulation result It carries out the online compensation of assembling process and is precisely controlled, realize the Intelligent closed-loop control of complex product assembling process.
13. a kind of assembly precision simulation analysis system twin based on number according to claim 12, which is characterized in that The twin model layer is to pass through twin data perception based on the static models that physics assembly shop solid modelling generates Layer, the work of the physical entities such as real-time data acquisition and monitoring, dynamically track physics assembly shop assembly equipment, tooling, tool Assembly shop physical entity in physical space is carried out total factor and rebuilds to be formed by state by synchronization map in information space Dummy model set.
CN201811257485.7A 2018-10-26 2018-10-26 A kind of the assembly precision simulating analysis and system twin based on number Pending CN109445305A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811257485.7A CN109445305A (en) 2018-10-26 2018-10-26 A kind of the assembly precision simulating analysis and system twin based on number

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811257485.7A CN109445305A (en) 2018-10-26 2018-10-26 A kind of the assembly precision simulating analysis and system twin based on number

Publications (1)

Publication Number Publication Date
CN109445305A true CN109445305A (en) 2019-03-08

Family

ID=65547644

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811257485.7A Pending CN109445305A (en) 2018-10-26 2018-10-26 A kind of the assembly precision simulating analysis and system twin based on number

Country Status (1)

Country Link
CN (1) CN109445305A (en)

Cited By (51)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109933923A (en) * 2019-03-19 2019-06-25 山东大学 A kind of dynamoelectric equipment lean design method twin based on number
CN109978403A (en) * 2019-04-04 2019-07-05 北京理工大学 A kind of quality management-control method, device and the equipment of Product Assembly process
CN110162891A (en) * 2019-05-24 2019-08-23 江南造船(集团)有限责任公司 Product Assembly emulation mode, Product Assembly simulator, electronic device and medium
CN110333698A (en) * 2019-03-30 2019-10-15 广东利元亨智能装备股份有限公司 Factory management system and its method based on the twin platform of number
CN110414033A (en) * 2019-05-31 2019-11-05 太原理工大学 The mechanical equipment approaches of predictive maintenance that jointing edge calculates and number is twin
CN110442936A (en) * 2019-07-24 2019-11-12 中国石油大学(北京) Equipment fault diagnosis method, apparatus and system based on the twin model of number
CN110456635A (en) * 2019-07-02 2019-11-15 北京航空航天大学 The control method of power system of electric automobile based on the twin technology of number
CN110532626A (en) * 2019-07-31 2019-12-03 西安交通大学 Based on the twin aeroplane engine main bearing method for predicting residual useful life of number
CN110674581A (en) * 2019-09-27 2020-01-10 北京航空航天大学 Method and system for accurately judging consistency of digital twin model
CN110704974A (en) * 2019-09-30 2020-01-17 江苏科技大学 Modeling and using method of process model based on digital twin drive
CN110705080A (en) * 2019-09-25 2020-01-17 北京航空航天大学 Precise assembling method and device for digital twin model
CN110765589A (en) * 2019-09-10 2020-02-07 上海大学 Intelligent workshop virtual and real synchronous monitoring system and method based on digital twins
CN110879583A (en) * 2019-12-26 2020-03-13 江苏古卓科技有限公司 Intelligent assembly workshop quality prediction and control system and method based on digital twins
CN111046549A (en) * 2019-12-09 2020-04-21 上海航天精密机械研究所 Self-adaptive adjustment method and system based on digital twin body
CN111077867A (en) * 2019-12-25 2020-04-28 北京航空航天大学 Method and device for dynamically simulating assembly quality of aircraft engine based on digital twinning
CN111103860A (en) * 2020-01-15 2020-05-05 江苏古卓科技有限公司 Factory management system and method based on digital twin platform
CN111145236A (en) * 2019-12-04 2020-05-12 东南大学 Product quasi-physical assembly model generation method based on digital twinning and implementation framework
CN111158314A (en) * 2019-12-31 2020-05-15 东南大学 Satellite partial assembly precision control method based on digital twinning technology
CN111190689A (en) * 2019-12-24 2020-05-22 腾讯科技(深圳)有限公司 Digital twin system simulation method and device
CN111210184A (en) * 2020-01-15 2020-05-29 北京航空航天大学 Punctual material distribution method and punctual material distribution system for digital twin workshop
CN111274671A (en) * 2019-12-31 2020-06-12 东南大学 Precise repairing and assembling method for complex product assembling process based on digital twinning and operation system thereof
CN111308975A (en) * 2020-02-28 2020-06-19 南京航空航天大学 Twin agent construction system and method of intelligent manufacturing system based on digital twin technology
CN111310318A (en) * 2020-02-05 2020-06-19 北京理工大学 Digital twinning-based process margin processing method and system and mechanical manufacturing assembly
CN111368417A (en) * 2020-03-02 2020-07-03 大连理工大学 Shape-character integrated digital twinning method for important equipment or key components
CN111488700A (en) * 2020-06-23 2020-08-04 中国人民解放军国防科技大学 Parallel assembly method, device, equipment and medium for complex opto-electro-mechanical system
CN111538294A (en) * 2019-11-15 2020-08-14 武汉理工大学 Industrial robot manufacturing system reconfigurable system and method based on digital twinning
CN111581804A (en) * 2020-04-30 2020-08-25 东南大学 Method for generating minimum part repair scheme based on actual measurement model
CN111580478A (en) * 2020-05-13 2020-08-25 中国电子科技集团公司第十四研究所 Complex electronic equipment final assembly digital twin workshop
CN111596614A (en) * 2020-06-02 2020-08-28 中国科学院自动化研究所 Motion control error compensation system and method based on cloud edge cooperation
CN111722539A (en) * 2020-06-03 2020-09-29 西安交通大学 Digital twin manufacturing unit behavior modeling method based on time automaton
CN111859708A (en) * 2020-07-31 2020-10-30 沈阳航空制造有限公司 Modeling method based on airplane structural part digital twin model
CN111968004A (en) * 2020-08-07 2020-11-20 东华大学 High-precision product assembling and adjusting integrated system based on digital twins
CN112016737A (en) * 2020-08-05 2020-12-01 东北大学秦皇岛分校 Digital twin-based complex product assembly workshop management and control method
CN112198812A (en) * 2020-09-21 2021-01-08 东南大学 Simulation and control method and system of micro-assembly production line based on digital twinning
CN112327780A (en) * 2020-11-16 2021-02-05 中国电子科技集团公司第二十九研究所 Digital twin system construction method and architecture of electronic equipment test production line
CN112799369A (en) * 2021-01-15 2021-05-14 北京理工大学 Product assembly process control method and device
CN113223162A (en) * 2021-04-13 2021-08-06 交通运输部科学研究院 Method and device for constructing digital twin scene of inland waterway
CN113378011A (en) * 2021-06-17 2021-09-10 北京卫星环境工程研究所 Method and system for constructing complex product final assembly digital twin body
CN113504768A (en) * 2021-08-05 2021-10-15 东华大学 High-precision product digital twin computability method for assembly quality prediction
CN113625666A (en) * 2020-05-08 2021-11-09 通用电气公司 Operation optimization distribution control system with coupled subsystem model and digital twinning
CN113673894A (en) * 2021-08-27 2021-11-19 东华大学 Multi-person cooperation AR assembly method and system based on digital twin
CN114115147A (en) * 2021-11-18 2022-03-01 中国电子科技集团公司第三十八研究所 SMT manufacturing process intelligent management and control system based on digital twins
CN114153482A (en) * 2022-02-09 2022-03-08 深圳市爱云信息科技有限公司 Deep learning programming method and system based on digital twin DaaS platform
CN114407009A (en) * 2021-12-29 2022-04-29 广州瑞松北斗汽车装备有限公司 Automobile door cover adjusting method and system, electronic equipment and readable storage medium
CN115092346A (en) * 2022-07-08 2022-09-23 上海外高桥造船有限公司 Simulation system and method for rib plate pulling-in assembly
CN115097782A (en) * 2022-06-23 2022-09-23 山东大学 Digital twin enhanced complex equipment detection compensation method and system
CN115365779A (en) * 2021-05-18 2022-11-22 中移(上海)信息通信科技有限公司 Assembling method, assembling device and assembling equipment for fuel cell
CN115408706A (en) * 2022-10-28 2022-11-29 国科治慧(苏州)智能科技有限公司 Digital twin model of aviation product and technical state two-way exchange method thereof
CN111666712B (en) * 2020-05-14 2023-08-08 大连理工大学 "test-calculation-control" intelligent digital twin method for large complex electromechanical equipment
CN117140485A (en) * 2023-09-21 2023-12-01 苏州诺克汽车工程装备有限公司 Digital twinning-based cooperative robot teaching assembly method and system
CN111210184B (en) * 2020-01-15 2024-04-26 北京航空航天大学 Digital twin workshop material on-time distribution method and system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105718628A (en) * 2015-12-31 2016-06-29 杭州电子科技大学 Tolerance technology-oriented assembly geometric element error transfer diagram representation and construction method
CN106020147A (en) * 2016-05-23 2016-10-12 北京理工大学 Systematic analysis method for assembling precision of complex precise mechanical product
CN107807539A (en) * 2017-10-17 2018-03-16 广东工业大学 A kind of glass post-processing production line distributed integeration method and its system
CN107861478A (en) * 2017-10-17 2018-03-30 广东工业大学 A kind of parallel control method in intelligent workshop and system
CN108388146A (en) * 2018-02-01 2018-08-10 东南大学 A kind of three-dimensional assembly technique design system and operation method based on information physical fusion
CN108427390A (en) * 2018-04-16 2018-08-21 长安大学 A kind of the workshop level intelligent manufacturing system and its configuration method twin based on number
CN108665245A (en) * 2018-05-23 2018-10-16 华北水利水电大学 A kind of prefabricated component information fusion management system and method based on DT-BIM

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105718628A (en) * 2015-12-31 2016-06-29 杭州电子科技大学 Tolerance technology-oriented assembly geometric element error transfer diagram representation and construction method
CN106020147A (en) * 2016-05-23 2016-10-12 北京理工大学 Systematic analysis method for assembling precision of complex precise mechanical product
CN107807539A (en) * 2017-10-17 2018-03-16 广东工业大学 A kind of glass post-processing production line distributed integeration method and its system
CN107861478A (en) * 2017-10-17 2018-03-30 广东工业大学 A kind of parallel control method in intelligent workshop and system
CN108388146A (en) * 2018-02-01 2018-08-10 东南大学 A kind of three-dimensional assembly technique design system and operation method based on information physical fusion
CN108427390A (en) * 2018-04-16 2018-08-21 长安大学 A kind of the workshop level intelligent manufacturing system and its configuration method twin based on number
CN108665245A (en) * 2018-05-23 2018-10-16 华北水利水电大学 A kind of prefabricated component information fusion management system and method based on DT-BIM

Cited By (75)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109933923A (en) * 2019-03-19 2019-06-25 山东大学 A kind of dynamoelectric equipment lean design method twin based on number
CN109933923B (en) * 2019-03-19 2022-12-02 山东大学 Electromechanical equipment lean design method based on digital twinning
CN110333698A (en) * 2019-03-30 2019-10-15 广东利元亨智能装备股份有限公司 Factory management system and its method based on the twin platform of number
CN109978403B (en) * 2019-04-04 2021-04-20 北京理工大学 Quality control method, device and equipment for product assembly process
CN109978403A (en) * 2019-04-04 2019-07-05 北京理工大学 A kind of quality management-control method, device and the equipment of Product Assembly process
CN110162891A (en) * 2019-05-24 2019-08-23 江南造船(集团)有限责任公司 Product Assembly emulation mode, Product Assembly simulator, electronic device and medium
CN110414033A (en) * 2019-05-31 2019-11-05 太原理工大学 The mechanical equipment approaches of predictive maintenance that jointing edge calculates and number is twin
CN110456635A (en) * 2019-07-02 2019-11-15 北京航空航天大学 The control method of power system of electric automobile based on the twin technology of number
CN110442936B (en) * 2019-07-24 2021-02-23 中国石油大学(北京) Equipment fault diagnosis method, device and system based on digital twin model
CN110442936A (en) * 2019-07-24 2019-11-12 中国石油大学(北京) Equipment fault diagnosis method, apparatus and system based on the twin model of number
CN110532626B (en) * 2019-07-31 2021-01-19 西安交通大学 Method for predicting residual life of main bearing of aircraft engine based on digital twinning
CN110532626A (en) * 2019-07-31 2019-12-03 西安交通大学 Based on the twin aeroplane engine main bearing method for predicting residual useful life of number
CN110765589A (en) * 2019-09-10 2020-02-07 上海大学 Intelligent workshop virtual and real synchronous monitoring system and method based on digital twins
CN110705080A (en) * 2019-09-25 2020-01-17 北京航空航天大学 Precise assembling method and device for digital twin model
CN110705080B (en) * 2019-09-25 2020-10-02 北京航空航天大学 Precise assembling method and device for digital twin model
CN110674581A (en) * 2019-09-27 2020-01-10 北京航空航天大学 Method and system for accurately judging consistency of digital twin model
CN110704974A (en) * 2019-09-30 2020-01-17 江苏科技大学 Modeling and using method of process model based on digital twin drive
CN110704974B (en) * 2019-09-30 2023-08-01 江苏科技大学 Modeling and using method of process model based on digital twin driving
CN111538294B (en) * 2019-11-15 2021-08-24 武汉理工大学 Industrial robot manufacturing system reconfigurable system and method based on digital twinning
CN111538294A (en) * 2019-11-15 2020-08-14 武汉理工大学 Industrial robot manufacturing system reconfigurable system and method based on digital twinning
CN111145236A (en) * 2019-12-04 2020-05-12 东南大学 Product quasi-physical assembly model generation method based on digital twinning and implementation framework
CN111145236B (en) * 2019-12-04 2022-10-18 东南大学 Product quasi-physical assembly model generation method based on digital twinning and implementation framework
CN111046549A (en) * 2019-12-09 2020-04-21 上海航天精密机械研究所 Self-adaptive adjustment method and system based on digital twin body
CN111190689A (en) * 2019-12-24 2020-05-22 腾讯科技(深圳)有限公司 Digital twin system simulation method and device
CN111077867A (en) * 2019-12-25 2020-04-28 北京航空航天大学 Method and device for dynamically simulating assembly quality of aircraft engine based on digital twinning
CN110879583A (en) * 2019-12-26 2020-03-13 江苏古卓科技有限公司 Intelligent assembly workshop quality prediction and control system and method based on digital twins
CN110879583B (en) * 2019-12-26 2020-10-09 江苏古卓科技有限公司 Intelligent assembly workshop quality prediction and control system and method based on digital twins
CN111274671A (en) * 2019-12-31 2020-06-12 东南大学 Precise repairing and assembling method for complex product assembling process based on digital twinning and operation system thereof
CN111158314B (en) * 2019-12-31 2022-10-25 东南大学 Satellite partial assembly precision control method based on digital twinning technology
CN111158314A (en) * 2019-12-31 2020-05-15 东南大学 Satellite partial assembly precision control method based on digital twinning technology
CN111210184B (en) * 2020-01-15 2024-04-26 北京航空航天大学 Digital twin workshop material on-time distribution method and system
CN111210184A (en) * 2020-01-15 2020-05-29 北京航空航天大学 Punctual material distribution method and punctual material distribution system for digital twin workshop
CN111103860A (en) * 2020-01-15 2020-05-05 江苏古卓科技有限公司 Factory management system and method based on digital twin platform
CN111310318A (en) * 2020-02-05 2020-06-19 北京理工大学 Digital twinning-based process margin processing method and system and mechanical manufacturing assembly
CN111308975A (en) * 2020-02-28 2020-06-19 南京航空航天大学 Twin agent construction system and method of intelligent manufacturing system based on digital twin technology
CN111368417A (en) * 2020-03-02 2020-07-03 大连理工大学 Shape-character integrated digital twinning method for important equipment or key components
CN111368417B (en) * 2020-03-02 2023-08-04 大连理工大学 Shape-property integrated digital twin method for major equipment or key parts
CN111581804A (en) * 2020-04-30 2020-08-25 东南大学 Method for generating minimum part repair scheme based on actual measurement model
CN113625666A (en) * 2020-05-08 2021-11-09 通用电气公司 Operation optimization distribution control system with coupled subsystem model and digital twinning
CN111580478A (en) * 2020-05-13 2020-08-25 中国电子科技集团公司第十四研究所 Complex electronic equipment final assembly digital twin workshop
CN111666712B (en) * 2020-05-14 2023-08-08 大连理工大学 "test-calculation-control" intelligent digital twin method for large complex electromechanical equipment
CN111596614B (en) * 2020-06-02 2021-06-25 中国科学院自动化研究所 Motion control error compensation system and method based on cloud edge cooperation
CN111596614A (en) * 2020-06-02 2020-08-28 中国科学院自动化研究所 Motion control error compensation system and method based on cloud edge cooperation
CN111722539B (en) * 2020-06-03 2021-05-28 西安交通大学 Digital twin manufacturing unit behavior modeling method based on time automaton
CN111722539A (en) * 2020-06-03 2020-09-29 西安交通大学 Digital twin manufacturing unit behavior modeling method based on time automaton
CN111488700B (en) * 2020-06-23 2020-09-29 中国人民解放军国防科技大学 Parallel assembly method, device, equipment and medium for complex opto-electro-mechanical system
CN111488700A (en) * 2020-06-23 2020-08-04 中国人民解放军国防科技大学 Parallel assembly method, device, equipment and medium for complex opto-electro-mechanical system
CN111859708A (en) * 2020-07-31 2020-10-30 沈阳航空制造有限公司 Modeling method based on airplane structural part digital twin model
CN112016737A (en) * 2020-08-05 2020-12-01 东北大学秦皇岛分校 Digital twin-based complex product assembly workshop management and control method
CN112016737B (en) * 2020-08-05 2022-03-22 东北大学秦皇岛分校 Digital twin-based complex product assembly workshop management and control method
CN111968004A (en) * 2020-08-07 2020-11-20 东华大学 High-precision product assembling and adjusting integrated system based on digital twins
CN112198812A (en) * 2020-09-21 2021-01-08 东南大学 Simulation and control method and system of micro-assembly production line based on digital twinning
CN112198812B (en) * 2020-09-21 2023-01-03 东南大学 Simulation and control method and system of micro-assembly production line based on digital twinning
CN112327780A (en) * 2020-11-16 2021-02-05 中国电子科技集团公司第二十九研究所 Digital twin system construction method and architecture of electronic equipment test production line
CN112799369A (en) * 2021-01-15 2021-05-14 北京理工大学 Product assembly process control method and device
CN113223162A (en) * 2021-04-13 2021-08-06 交通运输部科学研究院 Method and device for constructing digital twin scene of inland waterway
CN113223162B (en) * 2021-04-13 2023-06-09 交通运输部科学研究院 Construction method and device of inland waterway digital twin scene
CN115365779A (en) * 2021-05-18 2022-11-22 中移(上海)信息通信科技有限公司 Assembling method, assembling device and assembling equipment for fuel cell
CN115365779B (en) * 2021-05-18 2024-05-03 中移(上海)信息通信科技有限公司 Method, device and equipment for assembling fuel cell
CN113378011B (en) * 2021-06-17 2024-03-01 北京卫星环境工程研究所 Construction method and system of complex product assembly digital twin body
CN113378011A (en) * 2021-06-17 2021-09-10 北京卫星环境工程研究所 Method and system for constructing complex product final assembly digital twin body
CN113504768A (en) * 2021-08-05 2021-10-15 东华大学 High-precision product digital twin computability method for assembly quality prediction
CN113673894B (en) * 2021-08-27 2024-02-02 东华大学 Multi-person cooperation AR assembly method and system based on digital twinning
CN113673894A (en) * 2021-08-27 2021-11-19 东华大学 Multi-person cooperation AR assembly method and system based on digital twin
CN114115147A (en) * 2021-11-18 2022-03-01 中国电子科技集团公司第三十八研究所 SMT manufacturing process intelligent management and control system based on digital twins
CN114407009A (en) * 2021-12-29 2022-04-29 广州瑞松北斗汽车装备有限公司 Automobile door cover adjusting method and system, electronic equipment and readable storage medium
CN114153482B (en) * 2022-02-09 2022-05-17 深圳市爱云信息科技有限公司 Deep learning programming method and system based on digital twin DaaS platform
CN114153482A (en) * 2022-02-09 2022-03-08 深圳市爱云信息科技有限公司 Deep learning programming method and system based on digital twin DaaS platform
CN115097782B (en) * 2022-06-23 2024-05-03 山东大学 Digital twin enhanced complex equipment detection compensation method and system
WO2023246194A1 (en) * 2022-06-23 2023-12-28 山东大学 Digital twin-enhanced complex equipment detection compensation method and system
CN115097782A (en) * 2022-06-23 2022-09-23 山东大学 Digital twin enhanced complex equipment detection compensation method and system
CN115092346A (en) * 2022-07-08 2022-09-23 上海外高桥造船有限公司 Simulation system and method for rib plate pulling-in assembly
CN115092346B (en) * 2022-07-08 2023-12-01 上海外高桥造船有限公司 Simulation system and method for rib plate pull-in assembly
CN115408706A (en) * 2022-10-28 2022-11-29 国科治慧(苏州)智能科技有限公司 Digital twin model of aviation product and technical state two-way exchange method thereof
CN117140485A (en) * 2023-09-21 2023-12-01 苏州诺克汽车工程装备有限公司 Digital twinning-based cooperative robot teaching assembly method and system

Similar Documents

Publication Publication Date Title
CN109445305A (en) A kind of the assembly precision simulating analysis and system twin based on number
CN111274671B (en) Precise repair method for complex product assembly process based on digital twin and operation system thereof
CN111145236B (en) Product quasi-physical assembly model generation method based on digital twinning and implementation framework
CN104598675B (en) A kind of assembly simulation method of the spacecraft parts based on measured data
CN108388146B (en) Three-dimensional assembly process design system based on information physical fusion and operation method
US11656614B2 (en) In-process digital twinning
CN103434653B (en) Aircraft component digitized flexible assembling measuring method based on laser tracking measuring technique
CN204575030U (en) Three-dimensional laser automatically scanning measuring system
CN107832497A (en) A kind of intelligent workshop fast custom design method and system
CN106873550A (en) Analogue means and analogy method
CN103164584B (en) Based on the coordinating order of accuracy computing method of key characteristic
CN106020147A (en) Systematic analysis method for assembling precision of complex precise mechanical product
CN101634544A (en) Water turbine blade blank profile measuring and machining allowance analyzing method
CN109163675B (en) Method for detecting angular pendulum shaft position accuracy based on laser tracker
CN101920233A (en) System and method for comprehensively controlling spraying industrial robot based on virtual reality technology
Catalucci et al. Optical metrology for digital manufacturing: a review
CN111046549A (en) Self-adaptive adjustment method and system based on digital twin body
CN103191958B (en) A kind of optical detecting method of sheet forming resilience
CN110837715B (en) Complex curved surface machining error compensation method based on reverse engineering technology
CN109579733A (en) A kind of laser 3D printing compact dimensions precision method for rapidly estimating
CN114969976B (en) Integrated structure virtual assembly method based on digital measured data
CN109145471A (en) Virtual assembly system and method based on CAD Yu the co-melting model of measured data
CN106096099B (en) A kind of engineering goods error transfer's analysis method and device thereof
CN110096814A (en) A kind of digitlization bridge construction system based on BIM model
KR102566700B1 (en) Augmented reality system with an active portable anchor

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20190308

RJ01 Rejection of invention patent application after publication