CN115759876A - Digital twin geometric model maturity evaluation method and device and storage medium - Google Patents
Digital twin geometric model maturity evaluation method and device and storage medium Download PDFInfo
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Abstract
The embodiment of the specification provides a method, a device and a storage medium for evaluating the maturity of a digital twin geometric model, wherein the method comprises the following steps: collecting type identification information of a model to be processed; determining a progress evaluation model to be evaluated and the maturity of the progress evaluation model contained in the model to be processed according to the type identification information, wherein the progress evaluation model is used for representing the engineering progress corresponding to the model to be processed; determining a geometric model needing to evaluate the maturity in the model to be processed based on the progress evaluation model and the maturity of the progress evaluation model; collecting model data corresponding to a geometric model needing to evaluate maturity; determining the maturity of a geometric model needing to evaluate the maturity according to the model data and a preset rule; and determining the maturity of the model to be processed according to the maturity of the progress evaluation model and the maturity of the geometric model needing to evaluate the maturity. The technical scheme provided by the application is used for solving the problem that the calculation amount is large when the maturity is evaluated in the prior art.
Description
Technical Field
The document relates to the field of large product digitization, in particular to a method and a device for evaluating maturity of a digital twin geometric model and a storage medium.
Background
Digital twinning geometric models of large products (airplanes, helicopters, ships, rockets, engines) are the source of large product development, and more so are the results of intermediate processes and deliveries. The maturity process of the digital twin geometric model determines the quality process of the product, and further influences the final quality of the product.
At present, the application of the digital twin geometric model developed by large-scale products at home and abroad is wide, the model quality defect identification and repair technology is also widely used, and the conventional quality evaluation method of the digital twin geometric model of the large-scale product comprises the following steps:
1) The engineer roughly evaluates the quality of the geometric model according to the established geometric modeling specification of the digital twin series, and adopts a geometric model detection tool (such as: Q-Checker, Q-Doctor) to identify and evaluate model quality defects.
2) According to the unified Quality requirement of international cooperative foreign automobile original manufacturers on geometric models, the Quality of the digital twin geometric models is detected and evaluated by taking the PDQ (Product Data Quality, PDQ for short) standard of SASIG (synthetic automatic Product Data standards and industry organization for short) as reference. A Q-Monitor background monitoring mode integrated with a PLM (PLM Product Lifecycle Management, PLM for short) or PDM (Product Data Management, PDM for short) system is adopted to generate a part-level model defect report, and an engineer evaluates the quality of the model according to the report.
3) The quality of the geometric model is checked through the digital twin geometric model quality gate stiffness of the configuration unit in the international cooperation of the civil helicopters. Metering related Information is captured and used in a PLM or PDM system by establishing a QIF (Quality Information Framework, abbreviated as QIF).
However, the model quality is mainly concentrated on the geometric elements and the characteristic level of a part level, only represents a part of the project progress of the digital twin geometric model, and the calculation amount is large when the maturity is evaluated; the geometric model engineering progress of the configuration unit is not directly hooked with the technical state control and auditing, and the conversion of the important milestones of the product is not strongly related with the engineering progress control of the configuration unit.
Disclosure of Invention
In view of the above analysis, the present application aims to propose a method and a system for assessing maturity of a digital twin geometric model to solve at least one of the above technical problems.
In a first aspect, one or more embodiments of the present specification provide a method for assessing maturity of a digital twin geometric model, including:
collecting type identification information of a model to be processed;
determining a progress evaluation model to be evaluated and the maturity of the progress evaluation model contained in the model to be processed according to the type identification information, wherein the progress evaluation model comprises: one or more of a space distribution model, a skeleton model, a grid model, a machining model, a characteristic model and a delivery model are used for representing the engineering progress corresponding to the model to be processed;
determining a geometric model needing to evaluate the maturity in the model to be processed based on the progress evaluation model and the maturity of the progress evaluation model;
collecting model data corresponding to the geometric model needing to evaluate the maturity;
determining the maturity of the geometric model needing to evaluate the maturity according to the model data and a preset rule;
and determining the maturity of the model to be processed according to the maturity of the progress evaluation model and the maturity of the geometric model needing to evaluate the maturity.
Further, the determining a geometric model of the model to be processed, which needs to evaluate the maturity, based on the progress evaluation model and the maturity of the progress evaluation model includes:
determining whether the model to be processed is processed according to a preset process sequence according to the progress evaluation model;
determining a progress evaluation model to be evaluated according to the maturity of the progress evaluation model when the model to be processed is determined to be processed according to a preset progress sequence;
and from the progress evaluation model to be evaluated, a geometric model to be evaluated.
Further, the progress evaluation model needing to be evaluated is the space distribution model;
the collecting of the model data corresponding to the geometric model whose maturity needs to be evaluated includes:
and collecting model color information, model space interference information, model space gap information and space sweep parameter information.
Further, the progress evaluation model to be evaluated is the skeleton model;
the collecting of the model data corresponding to the geometric model whose maturity needs to be evaluated includes:
skeleton publishing information, skeleton constraint information and skeleton state information are collected.
Further, the progress evaluation model to be evaluated is the grid model;
the collecting of the model data corresponding to the geometric model whose maturity needs to be evaluated includes:
and acquiring entities, curved surfaces, fillet information, coincident element information, garbage elements and material information which influence the quality of the grid.
Further, the progress evaluation model to be evaluated is the machining model;
the collecting of the model data corresponding to the geometric model whose maturity needs to be evaluated includes:
the method comprises the steps of collecting self-intersection curve curved surface information, distortion curve curved surface information, fine curve section curved surface information, discontinuous curve curved surface information, coincident element information and garbage element information.
Further, the progress evaluation model needing to be evaluated is the characteristic model;
the collecting of the model data corresponding to the geometric model whose maturity needs to be evaluated includes:
and collecting safety characteristic expression information, maintenance characteristic expression information and guarantee characteristic expression information.
Further, the progress evaluation model needing to be evaluated is the delivery model;
the collecting of the model data corresponding to the geometric model whose maturity needs to be evaluated includes:
and garbage element information, model size information, model airspace information and model lightweight information are collected.
In a second aspect, one or more embodiments of the present specification provide a digital twin geometric model maturity evaluation apparatus, including: the system comprises a first acquisition module, a first data processing module, a second acquisition module and a second data processing module;
the first acquisition module is used for acquiring type identification information of the model to be processed;
the first data processing module is configured to determine, according to the type identification information, a progress evaluation model to be evaluated of a preset geometric model included in the to-be-processed model and a maturity of the progress evaluation model, where the progress evaluation model includes: one or more of a space distribution model, a skeleton model, a grid model, a machining model, a characteristic model and a delivery model are used for representing the engineering progress corresponding to the model to be processed; determining a geometric model needing to evaluate the maturity in the model to be processed based on the progress evaluation model and the maturity of the progress evaluation model;
the second acquisition module is used for acquiring model data corresponding to the geometric model needing to evaluate the maturity;
the second data processing module is used for determining the maturity of the geometric model needing to evaluate the maturity according to the model data and a preset rule; and determining the maturity of the model to be processed according to the maturity of the progress evaluation model and the maturity of the geometric model needing to evaluate the maturity.
In a third aspect, one or more embodiments of the present specification provide a storage medium comprising:
for storing computer-executable instructions which, when executed, implement the method of the first aspect.
Compared with the prior art, the application can at least realize the following technical effects:
1. by defining module-level geometric models (space allocation model, skeleton model, grid model, machining model, characteristic model and delivery model), the evaluation of the maturity of the models is classified according to the design process of large-scale products. When the maturity is evaluated, the geometric models needing to be evaluated are screened based on the process, and all the geometric models are not evaluated any more.
2. The module level is classified according to the function and purpose of each process, namely in the corresponding process, designers can evaluate the quality of the model to be processed according to the corresponding functional requirements of products and the maturity, so that the direct hooking of the geometric model engineering progress and the technical state control and the auditing of the design module is realized.
Drawings
In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, the drawings that are needed in the description of the embodiments or prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and that other drawings can be obtained by those skilled in the art without inventive exercise.
Fig. 1 is a flowchart of a method for evaluating maturity of a digital twin geometric model according to one or more embodiments of the present disclosure.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in one or more embodiments of the present disclosure, the technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in one or more embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step shall fall within the scope of protection of this document.
In order to develop digital design of large products (such as airplanes, helicopters, ships, engines and spacecrafts), enterprises widely adopt a digital twin geometric modeling technology, and the obtained digital twin geometric model becomes an engineering common language for integration, collaboration and sharing of the research and development process of the large products. An a350 wide-bodied airliner contains 250 more than ten thousand parts, tens of thousands of DM (Design Module, DM for short) or DS (Design Solution, DS for short). The design modules and designs are collectively referred to herein as configuration units. A medium size passenger aircraft includes about 100 or more ten thousand parts, and tens of thousands of configuration units. The digital twin geometric model of the configuration unit derives the analysis, simulation and evaluation geometric model related to region, grid, light weight, processing and maintenance.
These have quality defects that are hidden in geometry, feature design, constraint variation. Due to the lack of effective means and methods for managing and controlling the maturity of the models in the prior art, all geometric models and all parameters of each model need to be traversed in each examination, which means that the number of models involved in each examination is increased as the overall model is continuously improved. The time required for analyzing, diagnosing, troubleshooting, repairing and modifying the model quality problem related to each application is calculated in 30 minutes, the time spent by professional engineers in the whole design process in the model quality problem treatment is about 75 ten thousand working hours, the direct cost reaches hundred million yuan, the development period is prolonged by about 10 percent, and the indirect cost accounts for about 5 percent of the whole development cost.
Furthermore, since all geometric models are tested each time, once a problem occurs, it is uncertain which modules are in problem.
Based on the problems, the method roughly divides the model into 6 parts according to the completion flow of the model, detects data of the corresponding parts according to the completion conditions of the parts during detection instead of detecting the whole model so as to reduce data processing amount, thereby reducing the time spent on processing the quality problems of the digital twin geometric model, shortening the research and development period and saving the research and development cost. The method specifically comprises the following steps:
step 1, collecting type identification information of a model to be processed.
In an embodiment of the present application, the type identification information includes: model type identification and maturity, and one progress evaluation model corresponds to one maturity and one model type identification. The model to be processed can be one configuration unit, a plurality of configuration units or a plurality of configuration units to form a system. For example, an automobile model or an airplane model formed by a plurality of configuration units.
And determining a progress evaluation model in the model to be processed according to the model type identifier. And determining the current maturity of the progress evaluation model according to the maturity.
And 2, determining a progress evaluation model to be evaluated and the maturity of the progress evaluation model contained in the model to be processed according to the type identification information.
In the embodiment of the present application, the progress evaluation model includes: and one or more of a space distribution model, a skeleton model, a grid model, a machining model, a characteristic model and a delivery model are used for representing the engineering progress corresponding to the model to be processed. The above models are classified according to the function and purpose of the process, specifically:
the space distribution model refers to a space model of each subsystem which is reserved in advance by comprehensively considering various design indexes in the design concept design stage of the airplane, and the models cannot be occupied by other systems. Such as: and the model of the subsequent installation space allocated to the electric wire harness is a space model allocated to the optional equipment.
The skeleton model is a point, line and plane combined model used for positioning the structure of the airplane body and installing the system in the conceptual design and initial design stages of the airplane. In the skeletal model, geometric elements are established for driving other parts, such as: the "publishing" of the reference-requiring elements in the part and skeleton locates the part at the product level using the published elements to assemble the part to the skeleton.
The grid model simulates a real physical system (geometric and load conditions) by using a mathematical approximation method. The method of computing by utilizing a limited number of simple and interactive grid cells is used for approximating the real condition, and the object divided by the grid cells is a geometric model.
Numerical control machining model: the size of the parts of the airplane and the rocket is large, the molded surface is complex, the large numerical control machining of continuous control is mainly adopted, the size of the parts of the engine is small, the precision is high, and the numerical control machining (such as numerical control drilling and numerical control boring) of continuous control and point position control is adopted. The numerical control machine tool can process complex molded surfaces which are difficult to process by a conventional method, different parts correspond to different numerical control processing programs, the numerical control processing programs have high requirements on the quality of part models, and otherwise, a cutter is damaged, parts are scratched, the processing is slow, and even the processing cannot be performed.
The characteristic model expresses a correlation model of the product quality characteristic, and comprises the following steps: the system comprises a safety region model, a dismounting channel model, a visual field region model, a motion envelope model, an electromagnetic interference region model, a heat source region model, a vibration region model, an air bag opening model and a guarantee equipment model.
The delivery model is the operational maintenance model of the final delivery design module or a specific model required by the supplier.
And 3, determining a geometric model needing to evaluate the maturity in the model to be processed based on the progress evaluation model and the maturity of the progress evaluation model.
In the embodiment of the present application, step 3 includes the following steps:
and step 31, determining whether the model to be processed is performed according to a preset process sequence according to the progress evaluation model.
In the embodiment of the application, according to the function and purpose of the process, the preset process sequence includes space allocation, skeleton construction, grid construction, processing, characteristic design and delivery, and the sequence of the corresponding model is as follows: a space allocation model, a skeleton model, a mesh model, a machining model, a property model, and a delivery model. For example, when it is detected that a skeleton model and a grid model exist in a model to be processed, it is obviously not in accordance with a preset process sequence, so that the currently obtained maturity has no reference meaning to a detector, and is not in accordance with technical state control and technical audit. At this time, the detection personnel can perform detection again or terminate the detection, and prompt the system to complete the detection of the space allocation model according to the sequence so as to meet the technical state control and technical audit. The method realizes the direct hook of the geometric model engineering progress and technical state control and audit of the design module.
And step 32, when the model to be processed is determined to be processed according to the preset process sequence, determining the progress evaluation model to be evaluated according to the maturity of the progress evaluation model.
In the embodiment of the application, each process evaluation has a plurality of thresholds, and when the maturity of the process evaluation model meets the corresponding thresholds, the detection of the next process model can be started. For example, the space allocation model exists in 0%,50% and 100%, and when the maturity is not less than 50%, the detection of the skeleton model and the work of skeleton construction can be started. Therefore, according to the maturity of the progress evaluation model, the progress evaluation model to be evaluated can be determined.
And step 33, from the progress evaluation model to be evaluated, a geometric model to be evaluated.
In the embodiment of the present application, after the maturity reaches a certain threshold, the corresponding geometric model has completed maturity detection, so that only the remaining geometric models need to be detected at this time. For example, for a space allocation model with maturity of 50%, the color of each part is completed, and only the model interference information needs to be detected. For the space distribution model with the maturity of less than 50%, only the maturity of the colors of all the parts needs to be detected, and model interference information does not need to be detected. For the space distribution model with the maturity of 100%, the maturity of the geometric model corresponding to the space distribution model is not detected.
And 4, collecting model data corresponding to the geometric model needing to evaluate the maturity.
In the embodiment of the present application, the model data includes elements and feature information, where the elements are geometric shapes of corresponding real objects existing in the model, such as points, lines, planes, and the like corresponding to automobile parts in the model. The characteristic information is used for characterizing the corresponding elements. Different process evaluation models correspond to different model data, and the characteristic information is taken as an example, specifically,
model data for a space allocation model, comprising: model color information, model spatial interference information and model spatial gap information;
wherein the model color information includes: red, yellow, gray, … …. Wherein different elements correspond to different colors.
The model spatial interference information includes: whether collision or adhesion occurs;
the model space gap information includes: the safe distance between the vibrating part, the safe distance between electromagnetic interference, the safe distance between the oil pipe and other parts, and the safe distance between the wire harness and other parts; space distance of optional equipment
Based on the model color information, detecting whether the color of the space allocation model meets the condition: the corresponding transparency is red, yellow and gray respectively.
Based on the model space interference information, whether the space distribution model meets the conditions is detected: no elements collide with each other.
Based on the model space gap information, whether the space distribution model meets the conditions is detected: vibration safety distance, interference safety distance, electrical appliance safety distance and space distance of optional equipment
When the color condition is satisfied, determining that the space allocation model reaches a first preset maturity (for example, 50%)
When the interference and clearance condition is met, determining that the space allocation model reaches a second preset maturity (for example, 100%)
Model data for a skeletal model, comprising: skeleton publishing information, skeleton constraint information and skeleton state information are collected.
Wherein, skeleton release information includes: element name, coloring, transparency, shape, coordinate axis;
the skeletal constraint information includes: parameter positioning, coaxial constraint, fit constraint, distance constraint, angle constraint, and state of constraint.
The skeleton state information includes: an unresolved state, a linked disconnected state, a linked non-updated state, a linked element error state, a coordinate association state, a circular reference state.
The model data of the mesh model includes: entity information, curved surface information, coincident element information, garbage elements and material information which affect the quality of the grid.
Entity information affecting the quality of the grid includes: octree tetrahedron information, entity fillet radius information
The surface information affecting the mesh quality includes: tangent continuous narrow-plane information, narrow-plane area information and relative narrow-plane information.
The fillet information affecting the quality of the mesh includes: allowed physical fillet radius information, allowed curved fillet radius, allowed chamfer length.
The coincident element information that affects the quality of the mesh includes: partially or fully overlapping faces, partially or fully overlapping lines, partially or fully overlapping points.
The garbage element information influencing the grid quality comprises: useless surface elements, useless line elements, useless point elements, and useless entity elements.
The material assignment information includes: a component body to which a material is given, an entity to which a material is given, and a design unit to which a material is given.
Model data of the machining model, including: curve information, curved surface information, coincidence information and garbage element information which influence the processing quality.
The curve information affecting the processing quality includes: self-intersecting curve information, distorted curve information, fine curve information, unconnected curve information;
the curved surface information affecting the processing quality includes: self-intersecting curved surface information, distorted curved surface information, fine curved surface information, narrow curved surface information, unconnected curved surface information;
the information of the coincident elements affecting the processing quality includes: partially or fully overlapping faces, partially or fully overlapping lines, partially or fully overlapping dots.
The garbage element information influencing the processing quality comprises: useless surface elements, useless line elements, useless point elements, and useless entity elements.
Model data for a property model, comprising: safety characteristic expression information, maintenance characteristic expression information, and security characteristic expression information.
The security feature expression information includes: the method comprises the steps of obtaining safe region model coloring information, safe region transparency information and safe characteristic distance information;
the repair property expression information includes: the method comprises the following steps of maintaining model coloring information of an area, transparency information of the area, accessibility information of the area and reservation information of the area;
the safeguard characteristic expression information includes: ensuring model coloring information, ensuring region transparency information and ensuring characteristic spacing information;
model data for a delivery model, comprising: garbage element information, model size information, model airspace information, model lightweight information and the update state of the model.
The garbage element information includes: useless surface elements, useless line elements, useless point elements, and useless entity elements.
The model size information includes: byte number, megabyte number;
the model spatial domain information includes: airspace information in the topology;
the update states of the model include: updated, not activated.
The model lightweight information includes: the method does not comprise parametric features, parametric elements and light weight rate;
and determining the maturity of the geometric model needing to evaluate the maturity according to the rules and the model data, and simultaneously re-determining the maturity of the progress evaluation model.
And 5, determining the maturity of the geometric model needing to evaluate the maturity according to the model data and a preset rule.
In the embodiment of the present application, the model data and the preset rule are specifically:
typical rules for space allocation model maturity:
rule 1: the space allocation model and the skeleton model must be associated;
rule 2: the space allocation model coloring must meet the requirements: translucent red, full yellow-red, translucent gray;
rule 3: the space allocation model cannot interfere with other parts or models;
rule 4: the space distribution model peripheral part clearance must be kept 5-10 cm (different requirements of different specialties);
rule 5: the space allocation model for the safe area is all red;
rule 6: the distribution pattern of the installation channels must be yellow;
rule 7: a concept design stage needs to be marked with clear definition;
typical rules of maturity of the skeletal model:
rule 1: the skeleton model must be named according to the occupation of the aviation product;
rule 2: the skeletal model must be published for reference;
rule 3: the internal link relation of the skeleton model cannot be disconnected;
rule 4: the sizes of the elements of the skeleton model are related according to the overall parameters of the product;
rule 5: classifying and organizing skeleton model elements;
rule 6: the skeleton model must be fully constrained;
rule 7: parameters of the skeletal model are associated with the design form;
rule 8: the skeleton element must be in an activated state;
rule 9: the skeletal model must be in a fully updated state before being saved.
Typical rules of maturity of the grid model:
rule 1: fine curves and fine line segments which cause grid failure or quality problems cannot appear;
rule 2: a self-intersecting surface which fails to divide the mesh cannot appear;
rule 3: a repetitive curved surface in which no gap can occur between meshes;
rule 4: the twisted surfaces which cause entity stitching failure cannot exist, and the twisted surfaces which cause a large number of small meshes cannot exist;
rule 5: there cannot be fine edges, there cannot be more than 1% of small grids;
typical rules for maturity of the processing model:
rule 1: processing model in layout: no self-intersecting curved surfaces can exist which cause burrs or overcutting;
rule 2: processing model in layout: a self-intersecting curved surface causing failure in generating a tool path cannot exist;
rule 3: the pre-issued processing model can not have a repeated curved surface which causes the cutter path to be calculated and generate overcutting;
rule 4: the prearranged processing model can not have a repeated curved surface which scratches the workpiece during processing;
rule 5: the formally issued processing model cannot have fine line segments and curves which cause slow processing;
typical rules of maturity of characteristic model
Rule 1: the safe region model is associated with the skeleton parameters;
rule 2: the safe area model color is red with the transparency of 80%;
rule 3: ensuring that the color of the model is yellow with the transparency of 50 percent;
rule 4: the motion envelope model is associated with the track parameters of the moving parts;
rule 5: the reserved space model cannot interfere with other parts;
exemplary rules for maturity of a delivery model
Rule 1: models with parameters and features cannot be included;
rule 2: the lightweight model comprises elements of a specific level;
rule 3: no external link relationships can be included in the model;
rule 4: quality defects that cannot include warning classes in the model;
rule 5: the model size cannot exceed 200M.
And 6, determining the maturity of the model to be processed according to the maturity of the progress evaluation model and the maturity of the geometric model needing to evaluate the maturity.
In the embodiment of the application, in order to simplify the calculation, the maturity of the process evaluation model is obtained by directly utilizing the condition that each model meets the rule. Taking the space allocation model as an example, when the maturity of rules 2, 4 and 5 all reach 100%, the maturity of the whole space allocation model reaches 50%. And finally, determining the maturity of the model to be processed according to the weight coefficient of each progress evaluation model.
The embodiment of the application provides a device for evaluating the maturity of a digital twin geometric model, which is characterized by comprising: the system comprises a first acquisition module, a first data processing module, a second acquisition module and a second data processing module;
the first acquisition module is used for acquiring type identification information of the model to be processed;
the first data processing module is configured to determine, according to the type identification information, a progress evaluation model to be evaluated of a preset geometric model included in the to-be-processed model and a maturity of the progress evaluation model, where the progress evaluation model includes: one or more of a space distribution model, a skeleton model, a grid model, a machining model, a characteristic model and a delivery model are used for representing the engineering progress corresponding to the model to be processed; determining a geometric model needing to evaluate the maturity in the model to be processed based on the progress evaluation model and the maturity of the progress evaluation model;
the second acquisition module is used for acquiring model data corresponding to the geometric model needing to evaluate the maturity;
the second data processing module is used for determining the maturity of the geometric model needing to evaluate the maturity according to the model data and a preset rule; and determining the maturity of the model to be processed according to the maturity of the progress evaluation model and the maturity of the geometric model needing to evaluate the maturity.
An embodiment of the present application provides a storage medium, including:
for storing computer executable instructions which, when executed, implement the method of any of the preceding embodiments.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
In the 30 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD) (e.g., a Field Programmable Gate Array (FPGA)) is an integrated circuit whose Logic functions are determined by a user programming the Device. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually manufacturing an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as ABEL (Advanced Boolean Expression Language), AHDL (alternate Hardware Description Language), traffic, CUPL (core universal Programming Language), HDCal, jhddl (Java Hardware Description Language), lava, lola, HDL, PALASM, rhyd (Hardware Description Language), and vhigh-Language (Hardware Description Language), which is currently used in most popular applications. It will also be apparent to those skilled in the art that hardware circuitry for implementing the logical method flows can be readily obtained by a mere need to program the method flows with some of the hardware description languages described above and into an integrated circuit.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium that stores computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the units may be implemented in the same software and/or hardware or in multiple software and/or hardware when implementing the embodiments of the present description.
One skilled in the art will recognize that one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The description has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
One or more embodiments of the specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of this document and is not intended to limit this document. Various modifications and changes may occur to those skilled in the art from this document. Any modifications, equivalents, improvements, etc. which come within the spirit and principle of the disclosure are intended to be included within the scope of the claims of this document.
Claims (10)
1. A digital twin geometric model maturity assessment method is characterized by comprising the following steps:
collecting type identification information of a model to be processed;
determining a progress evaluation model to be evaluated and the maturity of the progress evaluation model contained in the model to be processed according to the type identification information, wherein the progress evaluation model comprises: one or more of a space distribution model, a skeleton model, a grid model, a machining model, a characteristic model and a delivery model are used for representing the engineering progress corresponding to the model to be processed;
determining a geometric model needing to evaluate the maturity in the model to be processed based on the progress evaluation model and the maturity of the progress evaluation model;
collecting model data corresponding to the geometric model needing to evaluate the maturity;
determining the maturity of the geometric model needing to evaluate the maturity according to the model data and a preset rule;
and determining the maturity of the model to be processed according to the maturity of the progress evaluation model and the maturity of the geometric model needing to evaluate the maturity.
2. The method of claim 1,
the determining a geometric model of the model to be processed, which needs to evaluate the maturity, based on the progress evaluation model and the maturity of the progress evaluation model includes:
determining whether the model to be processed is carried out according to a preset process sequence according to the progress evaluation model;
determining a progress evaluation model to be evaluated according to the maturity of the progress evaluation model when the model to be processed is determined to be processed according to a preset progress sequence;
and from the progress evaluation model to be evaluated, a geometric model to be evaluated.
3. The method of claim 2,
the progress evaluation model needing to be evaluated is the space distribution model;
the collecting of the model data corresponding to the geometric model whose maturity needs to be evaluated includes:
and collecting model color information, model space interference information, model space gap information and space sweep parameter information.
4. The method of claim 1,
the progress evaluation model to be evaluated is the skeleton model;
the collecting of the model data corresponding to the geometric model whose maturity needs to be evaluated includes:
skeleton publishing information, skeleton constraint information and skeleton state information are collected.
5. The method of claim 1,
the progress evaluation model needing to be evaluated is the grid model;
the collecting of the model data corresponding to the geometric model whose maturity needs to be evaluated includes:
and acquiring entities, curved surfaces, fillet information, coincident element information, garbage elements and material information which influence the quality of the grid.
6. The method of claim 1,
the progress evaluation model needing to be evaluated is the machining model;
the collecting of the model data corresponding to the geometric model whose maturity needs to be evaluated includes:
the method comprises the steps of collecting self-intersection curve curved surface information, distortion curve curved surface information, fine curve section curved surface information, discontinuous curve curved surface information, coincident element information and garbage element information.
7. The method of claim 1,
the progress evaluation model needing to be evaluated is the characteristic model;
the collecting of the model data corresponding to the geometric model whose maturity needs to be evaluated includes:
and collecting safety characteristic expression information, maintenance characteristic expression information and guarantee characteristic expression information.
8. The method of claim 1,
the progress evaluation model needing to be evaluated is the delivery model;
the collecting of the model data corresponding to the geometric model whose maturity needs to be evaluated includes:
garbage element information, model size information, model airspace information and model lightweight information are collected.
9. A digital twin geometric model maturity assessment apparatus comprising: the system comprises a first acquisition module, a first data processing module, a second acquisition module and a second data processing module;
the first acquisition module is used for acquiring type identification information of the model to be processed;
the first data processing module is configured to determine, according to the type identification information, a progress evaluation model to be evaluated of a preset geometric model included in the to-be-processed model and a maturity of the progress evaluation model, where the progress evaluation model includes: one or more of a space distribution model, a skeleton model, a grid model, a machining model, a characteristic model and a delivery model are used for representing the engineering progress corresponding to the model to be processed; determining a geometric model needing to evaluate the maturity in the model to be processed based on the progress evaluation model and the maturity of the progress evaluation model;
the second acquisition module is used for acquiring model data corresponding to the geometric model needing to evaluate the maturity;
the second data processing module is used for determining the maturity of the geometric model needing to evaluate the maturity according to the model data and a preset rule; and determining the maturity of the model to be processed according to the maturity of the progress evaluation model and the maturity of the geometric model needing to evaluate the maturity.
10. A storage medium, comprising:
for storing computer-executable instructions which, when executed, implement the method of any one of claims 1-8.
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