CN117473712A - Digital prototype and physical prototype functional matching simulation analysis method - Google Patents

Digital prototype and physical prototype functional matching simulation analysis method Download PDF

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Publication number
CN117473712A
CN117473712A CN202311332313.2A CN202311332313A CN117473712A CN 117473712 A CN117473712 A CN 117473712A CN 202311332313 A CN202311332313 A CN 202311332313A CN 117473712 A CN117473712 A CN 117473712A
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China
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prototype
physical
digital
analysis
simulation
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Inventor
周游
刘伟
毕玉琢
李新秀
叶东键
颜拴拴
李强
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China Shipbuilding Corp Bohai Shipbuilding Co ltd
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China Shipbuilding Corp Bohai Shipbuilding Co ltd
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Priority to CN202311332313.2A priority Critical patent/CN117473712A/en
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Abstract

The invention provides a functional matching simulation analysis method of a digital prototype and a physical prototype. The data and information of the physical prototype are mapped more accurately by the physical prototype data acquisition, the state parameters of the acquired data, the working condition selection and analysis, the digital prototype modeling, the digital prototype simulation analysis and the hardware in-loop simulation analysis, and the functions of the physical prototype and the functions of the digital prototype are more matched by utilizing the hardware in-loop simulation, so that the functional matching of the digital prototype and the physical prototype is improved. According to the invention, the functional similarity of the physical prototype and the research object is improved, and the functional matching limitation of the digital prototype and the physical prototype is broken through by means of hardware in-loop simulation, so that the functions of the digital prototype and the physical prototype are more similar, and the real display and analysis of the functions of the research object are realized. The method is suitable for being applied as a simulation analysis method for the functional matching of the digital prototype and the physical prototype.

Description

Digital prototype and physical prototype functional matching simulation analysis method
Technical Field
The invention relates to an analysis method in the simulation field, in particular to a functional matching simulation analysis method of a digital prototype and a physical prototype.
Background
In the course of building products such as ships, airplanes, automobiles, etc., in order to verify the suitability of the product design in the early stage, the matching of the assembly, disassembly, maintenance and use of the products and their equipment is shown, and in particular, the effects of overall layout, ergonomics, structural installation, equipment gaps, industrial design, etc. are simulated and analyzed. The physical prototype is an important means for product appearance display, overall arrangement simulation, auxiliary pilot verification and the like. In industrial engineering application, simulation is also carried out through a physical prototype, and the importance of the physical prototype in industrial engineering is proved by focusing on analyzing and explaining the development necessity of the physical prototype. Physical prototypes can be divided into two types according to functions, namely a coordination prototype and a presentation prototype. The coordination prototype solves the static and dynamic coordination problems in the design of ships, airplanes and automobiles, is manufactured according to the total size of 1:1, and can be manufactured in a whole machine or part of parts according to the coordination range and the requirements. The exhibition model machine is based on the coordination model machine, and can exhibit the advanced layout of the product and simulate the appearance, structure and the like of the product to be more similar to the model of the real product.
The digital prototype is a digital description of the whole machine of a mechanical product or a subsystem with independent functions, which reflects not only the geometrical properties of the product object, but also the functions and performances of the product object at least in a certain field. The digital model of the whole machine can be expressed on a computer, the digital model has a ratio of 1:1 and accurate size expression with a real physical product, and the digital model can be used for testing the appearance, assembly and functions of the product. The complete digital prototype is a true digital simulation of the entire final product, which can be used to virtually optimize and verify the product.
The digital prototype establishes a model similar to the physical prototype using computer simulation techniques and evaluates and tests the model to obtain characteristics about the candidate physical model design. The most important feature of digital prototypes is that the data and information of the physical prototypes must be mapped tightly.
Although the digital prototype technology is widely applied in engineering, large-scale products with large scale, multiple components and complex structures are required to build a digital prototype model with enough accuracy and effectiveness, and the data of a physical prototype is required to be used as supplement, and the semi-physical simulation refers to the simulation of accessing part of physical objects of a researched system in a simulation loop of a simulation test system. The accurate meaning is: the loop contains hardware simulation (Hardware In the Loop Simulation), i.e. HILS, and real-time performance is a necessary requirement of semi-physical simulation. By accessing a controller, an actuator, a real interface module and the like into a simulation loop of a simulation test system, the functions of the physical prototype can be more matched with those of the digital prototype, and the data and information of the digital prototype mapping physical prototype are more accurate.
Disclosure of Invention
Aiming at solving the defects existing in the prior art and aiming at the problem of functional matching of a digital prototype and a physical prototype, the invention provides a functional matching simulation analysis method of the digital prototype and the physical prototype. The method is used for acquiring data of a physical prototype, determining state parameters of the acquired data, selecting and analyzing working conditions, modeling the digital prototype, simulating and analyzing the digital prototype and performing hardware-in-loop simulation analysis, and solving the technical problem of functional matching between the digital prototype and the physical prototype.
The invention solves the technical problems by adopting the scheme that:
a method for analyzing the function matching performance of a digital prototype and a physical prototype includes such steps as collecting the data of the physical prototype, determining the state parameters of collected data, choosing and analyzing working condition, modeling the digital prototype, simulating the digital prototype, and hardware-in-loop simulating the digital prototype.
1) And (5) data acquisition of a physical prototype.
The data acquisition of the physical prototype comprises front-end data acquisition and back-end data storage. Different methods are adopted for collecting different products of front-end data, and the collected data can be recorded into database management software as a storage container for collecting data of a physical prototype by using a test circuit, a test power supply, a laser tracker, a total station and various data measuring instruments.
2) A status parameter of the acquired data is determined.
The method is characterized in that state parameters of the physical prototype during operation are collected, the state parameters are used as logic description of the digital prototype and the physical prototype, standardization and digitization of the prototype are guaranteed, authenticity and accuracy of prototype simulation are guaranteed, the method is related to decision-making activities of various manufacturing resources in actual products, the state parameters of working speed, working time, output form, product interval and equipment failure rate of the physical prototype are collected, and especially the state parameters affecting the logic relation of the actual products are collected, and reality and effectiveness of the state parameters are guaranteed.
3) And (5) working condition selection and analysis.
The heavy equipment in the large-scale product has different working loads, inputs and outputs under different working conditions, different working times and different working conditions under the working environment, and the working is divided into working random working conditions and detection standard working conditions according to different working targets of the equipment. The working random working condition, namely the random working condition of the product equipment in daily work, is generally a cycle of several continuous actions. The standard working condition is detected, namely a set of fixed working conditions designed by detecting or testing the closing and resetting equipment performance of the product, and the type of the working conditions is selected when the working condition analysis is carried out. And carrying out relevant analysis on working conditions from the product reset equipment working load, analyzing the influences of the working load and other important characteristics on various parameters of the product, and simultaneously carrying out working condition analysis on the input and output state parameters.
4) Modeling by a digital prototype.
The method comprises the steps of establishing a geometric model of a digital prototype, statically reflecting the form, position and processing relation of physical entities, collecting form, position and size data of physical entities of key equipment of a product, truly reflecting geometric parameters of the form of the object, digitally defining the product, and defining the model based on the digital prototype model by taking a two-dimensional engineering drawing as a center and taking a three-dimensional model as a center. MBD data set, expressing geometric model-structure and shape, marking manufacturing inspection information on dimensional tolerance, processing requirement auxiliary description, basic construction of forming model is used for carrying out characteristic description, attribute information is used for carrying out auxiliary description information, design reference is used for carrying out description of association information, and assembly relation description is used for describing part relation.
5) And (5) performing simulation analysis on the digital prototype.
The simulation process description is carried out on the digital sample machine by referring to the real running condition of the physical sample machine, the process is a generic name of all events occurring when the equipment processes the part, the process is described by using a corresponding language, and the process is associated to a certain element of the digital sample machine, so that the element executes the process, and the digital sample machine is accurately simulated and analyzed.
6) Hardware-in-loop simulation analysis.
The hardware-in-loop simulation technology of the control system is an important link for detecting control software before the controller is put into actual operation, the controller enables the mode of the digital sample machine and the controller to be more accurately simulated in the whole simulation test link, the influence of different control strategies and algorithms on control performance is researched, the parameters of the controller are researched through repeated simulation test analysis and recording, the control state under a specific algorithm can be adjusted, test research can be conducted on working conditions which cannot be realized in practice or are not easy to realize, and the functional matching performance of the digital sample machine and the physical sample machine is improved through hardware-in-loop simulation analysis.
The method has the advantages that the functional similarity of the physical prototype and the research object is improved, and the functional matching limitation of the digital prototype and the physical prototype is broken through by means of hardware in-loop simulation, so that the functions of the digital prototype and the physical prototype are more similar, and the real display and analysis of the functions of the research object are realized. The method is suitable for being applied as a simulation analysis method for the functional matching of the digital prototype and the physical prototype.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention. The description of the present invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Fig. 1 is a flowchart of the present embodiment.
Description of the embodiments
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
According to the figure, the functional matching simulation analysis method of the digital prototype and the physical prototype improves the functional similarity of the physical prototype and the research object, and the functional matching limitation of the digital prototype and the physical prototype is broken through by means of hardware in-loop simulation, so that the functions of the digital prototype and the physical prototype are more similar, and the real display and analysis of the functions of the research object are realized. Taking a bridge crane as an example:
the method comprises the steps of collecting data of a physical prototype of the bridge crane, collecting motion state data of a certain bridge crane by taking the data of the physical prototype as design, construction and inspection means of the virtual prototype except for the fact that a virtual prototype model is to be built, and adopting a front-end data collecting method which comprises the steps of using a laser tracker, a total station and other recording and measuring tools to measure the lifting capacity, the speed and the acceleration. And storing the back-end data, and recording the acquired data into database management software as a storage container for acquiring the data by a physical prototype.
Bridge cranes are generally structured by three mechanisms: lifting mechanism, dolly running gear, cart running gear. The action during normal operation is composed of single or combined activities of the mechanisms, various parameters of collected data under specific working conditions need to be collected, and state parameters of the physical prototype such as working speed, working time, product interval, equipment failure rate and the like are collected and determined.
Since the bridge crane is loaded differently under different conditions, and because of the influence of uncertainty factors, the load acting on the crane structure is also constantly changing. In addition, the different working time is different from the working condition under the working environment. And selecting working conditions for analysis, analyzing influences of the working load and other important characteristics on various parameters of the product, and simultaneously analyzing the input and output state parameters on the working conditions.
Modeling a digital prototype, establishing a digital prototype model of the bridge crane, establishing a geometric model of the digital prototype of the bridge crane, statically reflecting the form, position, processing relation and the like of a physical entity, collecting the form, position, size and other data of the physical entity of key equipment of a product, truly reflecting the geometric parameters of the bridge crane, digitally defining a three-dimensional model of the bridge crane, and defining the model-based model by taking a two-dimensional engineering drawing as a center and taking the three-dimensional model as a center and further taking the three-dimensional model as a center. And the MBD data set expresses the geometric model, structure and shape, and marks all digital integrated information of the bridge crane three-dimensional model on the dimensional tolerance.
And (3) carrying out simulation analysis on the digital prototype, and establishing a simulation analysis model according to the working condition, the operation rule, the constraint condition and the physical characteristic of the bridge crane and an algorithm. Prior to the kinetic analysis, a kinematic analysis was performed to determine if the addition of the various constraints was correct before the force was applied by the prototype. And analyzing model constraint addition, a driving equation and a simulation track of the bridge crane digital prototype under the static load and dynamic load working conditions to obtain related analysis.
The hardware is subjected to ring simulation analysis, a related control unit is added into a simulation chain in a digital prototype model of the bridge crane, a part of control object controllers are in a whole simulation test link, so that the mode of the digital prototype adding controllers can be used for accurately simulating the working condition states of the bridge crane physical prototype, the influence of different control strategies and algorithms on the control performance is researched, the control states under a specific algorithm can be adjusted through repeated simulation test analysis and record research of controller parameters, test research can be carried out on working conditions which are impossible or difficult to realize in certain actual conditions, and the functional matching property of the bridge crane digital prototype and the bridge crane physical prototype is improved through the hardware in the ring simulation analysis.
Finally, it should be noted that: the foregoing description is only illustrative of the preferred embodiments of the present invention, and although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements or changes may be made without departing from the spirit and principles of the present invention.

Claims (7)

1. A functional matching simulation analysis method of a digital prototype and a physical prototype is characterized by comprising the following steps:
the method comprises the steps of realizing more accurate mapping of data and information of a physical prototype by physical prototype data acquisition, determining state parameters of acquired data, working condition selection and analysis, digital prototype modeling, digital prototype simulation analysis and hardware in-loop simulation analysis, and enabling functions of the physical prototype to be more matched with those of the digital prototype by hardware in-loop simulation, so that the functional matching of the digital prototype and the physical prototype is improved; the method comprises the following steps:
1) Data acquisition of a physical prototype;
2) Determining state parameters of the acquired data;
3) Working condition selection and analysis;
4) Modeling a digital prototype;
5) Simulation analysis of a digital prototype;
6) Hardware-in-loop simulation analysis.
2. The method for simulating and analyzing the functional matching performance of a digital prototype and a physical prototype according to claim 1, wherein the method is characterized in that:
in the step 1), the data acquisition of the physical prototype comprises front-end data acquisition and back-end data storage. Different methods are adopted for collecting different products of front-end data, and the collected data can be recorded into database management software as a storage container for collecting data of a physical prototype by using a test circuit, a test power supply, a laser tracker, a total station and various data measuring instruments.
3. The method for simulating and analyzing the functional matching performance of a digital prototype and a physical prototype according to claim 1, wherein the method is characterized in that:
in the step 2); the method is characterized in that state parameters of the physical prototype during operation are collected, the state parameters are used as logic description of the digital prototype and the physical prototype, standardization and digitization of the prototype are guaranteed, authenticity and accuracy of prototype simulation are guaranteed, the method is related to decision-making activities of various manufacturing resources in actual products, the state parameters of working speed, working time, output form, product interval and equipment failure rate of the physical prototype are collected, and especially the state parameters affecting the logic relation of the actual products are collected, and reality and effectiveness of the state parameters are guaranteed.
4. The method for simulating and analyzing the functional matching performance of a digital prototype and a physical prototype according to claim 1, wherein the method is characterized in that:
in the step 3), the work is divided into a random work condition and a detection standard work condition. The working random working condition, namely the random working condition of the product equipment in daily work, is generally a cycle of several continuous actions. The method comprises the steps of detecting standard working conditions, namely a set of fixed working conditions designed for detecting or testing the closing and resetting equipment performance of a product, wherein the type of the working conditions is selected when working condition analysis is carried out; and carrying out relevant analysis on working conditions from the product reset equipment working load, analyzing the influences of the working load and other important characteristics on various parameters of the product, and simultaneously carrying out working condition analysis on the input and output state parameters.
5. The comprehensive simulation analysis method for degaussing cable laying according to claim 1, wherein the method comprises the following steps:
in the step 4), a geometric model of a digital prototype is established, the form, position and processing relation of physical entities are reflected statically, geometric parameters of the form of the physical entities of key equipment of the product are reflected truly by collecting the form, position and size data of the physical entities of the product, the digital definition is carried out on the product, and the model-based definition is carried out on the digital prototype model by taking a two-dimensional engineering drawing as a center and going from a step to take a three-dimensional model as a center; MBD data set, expressing geometric model-structure and shape, marking manufacturing inspection information on dimensional tolerance, processing requirement auxiliary description, basic construction of forming model is used for carrying out characteristic description, attribute information is used for carrying out auxiliary description information, design reference is used for carrying out description of association information, and assembly relation description is used for describing part relation.
6. The comprehensive simulation analysis method for degaussing cable laying according to claim 1, wherein the method comprises the following steps:
in the step 5), the digital sample machine carries out simulation process description by referring to the real running condition of the physical model machine, the process is a generic name of all events occurring when the equipment processes the part, the process is described by using a corresponding language, the process is associated to a certain element of the digital sample machine, the element executes the process, and the digital sample machine carries out accurate simulation analysis.
7. The comprehensive simulation analysis method for degaussing cable laying according to claim 1, wherein the method comprises the following steps:
in the step 6), the hardware-in-loop simulation technology of the control system is an important link for detecting the control software before the controller is put into actual operation, the controller enables the mode of the digital sample machine and the controller to be more accurately simulated in the whole simulation test link, the influence of different control strategies and algorithms on the control performance is researched, the parameters of the controller are researched through repeated simulation test analysis and recording, the control state under a specific algorithm can be adjusted, test research can be conducted on some working conditions which are impossible or not easy to realize in practice, and the functional matching performance of the digital sample machine and the physical sample machine is improved through the hardware-in-loop simulation analysis.
CN202311332313.2A 2023-10-16 2023-10-16 Digital prototype and physical prototype functional matching simulation analysis method Pending CN117473712A (en)

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