CN115759876B - Digital twin geometric model maturity assessment method, device and storage medium - Google Patents
Digital twin geometric model maturity assessment method, device and storage medium Download PDFInfo
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Abstract
The embodiment of the specification provides a digital twin geometric model maturity assessment method, a device and a storage medium, 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 to-be-processed model according to the type identification information, wherein the progress evaluation model is used for representing the engineering progress corresponding to the to-be-processed model; determining a geometric model of the to-be-processed model, which needs to be evaluated for maturity, based on the progress evaluation model and the maturity of the progress evaluation model; collecting model data corresponding to a geometric model of which the maturity needs to be evaluated; determining the maturity of the geometric model needing to be evaluated 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 of which the maturity needs to be evaluated. The technical scheme provided by the application is used for solving the problem of large calculation in the prior art for evaluating the maturity.
Description
Technical Field
The present document relates to the field of digitizing large-scale products, and in particular, to a method, an apparatus, and a storage medium for evaluating maturity of a digital twin geometric model.
Background
Digital twin geometric models of large products (airplanes, helicopters, ships, rockets, engines) are the source of large product development, and are the result of intermediate processes and delivery. The maturity process of the digital twin geometric model determines the quality process of the product, thereby affecting the final quality of the product.
At present, the digital twin geometric model developed by large-scale products at home and abroad is widely applied, the model quality defect identification and repair technology is widely used, and the conventional quality assessment method of the digital twin geometric model of the large-scale products is as follows:
1) Engineers roughly evaluate the quality of the geometric model according to the established digital twin series geometric modeling standard, and adopt a geometric model detection tool (such as: Q-Checker, Q-vector) to identify and evaluate model quality defects.
2) According to the unified quality requirement of international cooperation foreign automobile manufacturers on the geometric model, the PDQ (Product Data Quality product data quality, PDQ) standard of SASIG (Strategic automotive product data standards industry group strategic automobile product data standard industry organization, SASIG for short) is used for detecting and evaluating the quality of the digital twin geometric model. A part-level model defect report is generated by adopting a Q-Monitor background monitoring mode integrated with a PLM (PLM Product Lifecycle Management product life cycle management, abbreviated as PLM) or a PDM (Product Data Management product data management, abbreviated as PDM) system, and an engineer evaluates model quality according to the report.
3) The quality of the geometric model is checked through the digital twin geometric model quality gate hardness of the configuration unit in the international collaboration of the civil helicopter. By establishing a QIF (Quality Information Framework quality information framework, abbreviated as QIF), the metering related information is captured and used in the PLM or PDM system.
However, the model quality is mainly concentrated on the part-level geometric elements and feature levels, can only represent a part of the engineering progress of the digital twin geometric model, and is computationally intensive when evaluating maturity; geometric model engineering progress of the configuration unit is in strong association with lack of direct hooking of technical state control and auditing, conversion of important milestones of products and engineering progress control of the configuration unit.
Disclosure of Invention
In view of the above analysis, the present application aims to propose a digital twin geometric model maturity estimation method and system to solve at least one of the above technical problems.
In a first aspect, one or more embodiments of the present specification provide a digital twin geometric model maturity estimation method, comprising:
collecting type identification information of a model to be processed;
according to the type identification information, determining a progress evaluation model to be evaluated and a maturity of the progress evaluation model, wherein the progress evaluation model comprises: one or more of a space distribution model, a framework model, a grid model, a processing model, a characteristic model and a delivery model, which are used for representing the engineering progress corresponding to the model to be processed;
determining a geometric model of the to-be-processed model, which needs to be evaluated for maturity, based on the progress evaluation model and the maturity of the progress evaluation model;
collecting model data corresponding to the geometric model of which the maturity needs to be evaluated;
determining the maturity of the geometric model needing to be evaluated 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 be evaluated for maturity.
Further, the determining, based on the progress evaluation model and the maturity of the progress evaluation model, a geometric model of the to-be-processed model, which needs to be evaluated for the maturity, includes:
determining whether the model to be processed is performed according to a preset process sequence according to the progress evaluation model;
when the to-be-processed model is determined to be carried out according to a preset progress sequence, determining a progress evaluation model to be evaluated according to the maturity of the progress evaluation model;
and from the progress evaluation model to be evaluated, a geometric model to be evaluated is required.
Further, the progress evaluation model to be evaluated is the space allocation model;
the step of collecting the model data corresponding to the geometric model to be evaluated for maturity comprises the following steps:
and collecting model color information, model space interference information and model space clearance information, and space sweep parameter information.
Further, the progress evaluation model to be evaluated is the skeleton model;
the step of collecting the model data corresponding to the geometric model to be evaluated for maturity comprises the following steps:
and acquiring skeleton release information, skeleton constraint information and skeleton state information.
Further, the progress evaluation model to be evaluated is the grid model;
the step of collecting the model data corresponding to the geometric model to be evaluated for maturity comprises the following steps:
and acquiring entity, curved surface, fillet information, coincidence element information, garbage element and material information which influence the quality of the grid.
Further, the progress evaluation model to be evaluated is the processing model;
the step of collecting the model data corresponding to the geometric model to be evaluated for maturity comprises the following steps:
the method comprises the steps of collecting self-intersecting curve surface information, twisting curve surface information, fine curve segment surface information, discontinuous curve surface information, superposition element information and garbage element information.
Further, the progress evaluation model to be evaluated is the characteristic model;
the step of collecting the model data corresponding to the geometric model to be evaluated for maturity comprises the following steps:
and collecting safety characteristic expression information, maintenance characteristic expression information and guarantee characteristic expression information.
Further, the progress evaluation model to be evaluated is the delivery model;
the step of collecting the model data corresponding to the geometric model to be evaluated for maturity comprises the following steps:
garbage element information, model size information, model airspace information and model light weight information are collected.
In a second aspect, one or more embodiments of the present specification provide a digital twin geometric model maturity assessment apparatus comprising: the device 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 model to be processed and a maturity of the progress evaluation model, where the progress evaluation model includes: one or more of a space distribution model, a framework model, a grid model, a processing model, a characteristic model and a delivery model, which are used for representing the engineering progress corresponding to the model to be processed; determining a geometric model of the to-be-processed model, which needs to be evaluated for maturity, 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 of which the maturity is required to be evaluated;
the second data processing module is used for determining the maturity of the geometric model needing to be evaluated according to the model data and preset rules; 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 be evaluated for 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, process model, characteristic model and delivery model), the assessment of model maturity is classified according to the design progress of the large-scale product. When the maturity is evaluated, the geometric models to be evaluated are screened based on the progress, and all 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, a designer can evaluate the quality of a model to be processed according to the corresponding functional requirement of a product and the combination of maturity, so that the geometric model engineering progress and technical state control and auditing direct hooking of the design module are realized.
Drawings
For a clearer description of one or more embodiments of the present description or of the solutions of the prior art, the drawings that are necessary for the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description that follow are only some of the embodiments described in the description, from which, for a person skilled in the art, other drawings can be obtained without inventive faculty.
FIG. 1 is a flow diagram of a digital twin geometry model maturity estimation method provided in one or more embodiments of the present disclosure.
Detailed Description
In order to enable a person skilled in the art to better understand the technical solutions in one or more embodiments of the present specification, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the drawings in one or more embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one or more embodiments of the present disclosure without inventive faculty, are intended to be within the scope of the present disclosure.
In order to develop digital designs of large-scale products (such as airplanes, helicopters, ships, engines and spacecrafts), enterprises widely adopt digital twin geometric modeling technology, and the digital twin geometric model obtained by the method is an engineering commonality language for integration, collaboration and sharing in the large-scale product research and development process. The a350 broadbody passenger aircraft includes 250 or more tens of thousands of parts, and tens of thousands of DM (Design Module, DM) or DS (Design Solution, DS). The design modules and designs are collectively referred to herein as a configuration unit. The medium size passenger aircraft comprises about 100 or more tens of thousands of parts and tens of thousands of configuration units. The digital twin geometric model of the configuration unit derives the regional, grid, lightweight, processing and maintenance related analysis, simulation and evaluation geometric model.
These potential have quality drawbacks in geometric modeling, feature design, and constraint variation. Because the prior art lacks effective means and methods for model maturity management and control, all geometric models and all parameters of each model are traversed for each investigation, which means that the number of models involved for each investigation increases as the overall model is continuously refined. The average time required for analysis, diagnosis, investigation, repair and modification of the model quality problems involved in each application is calculated to be 30 minutes, the time spent by professional engineers in the whole design process for model quality problem treatment is about 75 ten thousand working hours, the direct cost reaches hundreds of millions of yuan, the induced 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 detected each time, once a problem arises, it is uncertain which modules have a problem.
Based on the above problems, the application provides that the model is divided into 6 parts according to the completion flow of the model, and the data of the corresponding parts are detected instead of the whole model according to the completion condition of each part during detection, so as to reduce the 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:
and step 1, collecting type identification information of the model to be processed.
In the embodiment of the application, the type identification information comprises: model type identification and maturity, a progress evaluation model corresponds to a maturity and a model type identification. The model to be treated may be one configuration unit, a plurality of configuration units or a plurality of configuration units constituting a system. For example, an automobile model or an aircraft model composed of a plurality of configuration units.
And determining a progress evaluation model in the to-be-processed model 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 to-be-processed model according to the type identification information.
In an embodiment of the present application, the progress evaluation model includes: and one or more of a space distribution model, a framework model, a grid model, a processing 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 reserved in advance by comprehensively considering various design indexes in the design stage of the aircraft design concept, and the space model cannot be occupied by other systems. Such as: a model of the subsequent installation space allocated for the electrical harness, a space model allocated for the optional equipment.
The skeleton model refers to a combined model of points, lines and surfaces for machine body structure positioning and system installation in the conceptual design and preliminary design stages of an airplane. In the skeleton model, geometric elements are built to drive other parts, such as: the elements that need to be referenced are "published" in the part and the skeleton, and the published elements are used at the product level to assemble the part to the skeleton to position the part.
The grid model simulates a real physical system (geometry and load conditions) by using a mathematical approximation method. The real situation is approximated by a simple and interactive method of finite number of grid cell calculations, the object of grid cell division being a geometric model.
Numerical control machining model: the parts of the plane and rocket are large in size and complex in profile, mainly adopt continuously controlled large-scale numerical control machining, and the parts of the engine are small in size and high in precision, and adopt continuously controlled and point-position controlled numerical control machining (such as numerical control drilling and numerical control boring). The complex molded surface which is difficult to process by the conventional method can be processed by the numerical control machine tool, different parts correspond to different numerical control processing programs, the numerical control processing programming has high requirements on the quality of the part model, otherwise, the cutter is damaged, the parts are scratched, the processing is slow and even the machining cannot be performed.
The property model expresses a correlation model of product quality properties, comprising: a safety area model, a disassembly and assembly channel model, a visual field area model, a motion envelope model, an electromagnetic interference area model, a heat source area model, a vibration area model, an air bag opening model and a guarantee equipment model.
The delivery model is an operational maintenance model of the final delivery design module or a specific model required by the vendor.
And step 3, determining a geometric model of the model to be processed, which needs to be evaluated for maturity, 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 functions and purposes of the processes, the preset process sequence is space allocation, skeleton construction, grid construction, processing, characteristic design and delivery, and the sequence of the corresponding models is as follows: space allocation model, skeleton model, grid model, process model, property model, and delivery model. For example, when it is detected that a skeleton model and a grid model exist in the model to be processed, the preset process sequence is obviously not met, so that the currently obtained maturity does not have any reference meaning to the inspector, and the technical state control and technical audit are not met. At this time, the detection personnel can re-detect or terminate the detection, and prompt the system to complete the detection of the space allocation model in sequence so as to meet the technical state control and technical audit. The method realizes the direct hooking of the geometric model engineering progress and the technical state control and auditing of the design module.
And 32, determining a progress evaluation model to be evaluated according to the maturity of the progress evaluation model when the to-be-processed model is determined to be performed according to a preset progress sequence.
In the embodiment of the application, a plurality of thresholds exist for each process evaluation, and when the maturity of the process evaluation model meets the corresponding threshold, 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 that needs to be evaluated can be determined.
And step 33, from the progress evaluation model to be evaluated, a geometric model to be evaluated is required.
In the embodiment of the application, after the maturity reaches a certain threshold, the corresponding geometric model has completed maturity detection, so that only the rest geometric models need to be detected at the moment. For example, for a spatially distributed model with maturity reaching 50%, its color for each part is complete, at which time only model interference information needs to be detected. For space distribution models with maturity less than 50%, only the maturity of each component color needs to be detected, and model interference information does not need to be detected. For a space distribution model with the maturity of 100%, the maturity of a geometric model corresponding to the space distribution model is not detected.
And 4, collecting model data corresponding to the geometric model which needs to be evaluated for maturity.
In the embodiment of the application, the model data comprises elements and characteristic information, wherein the elements are the geometric shapes of corresponding real objects in the model, such as points, lines, planes and the like corresponding to automobile parts in the model. The feature information is used to characterize the characteristics of the corresponding element. Different process evaluation models correspond to different model data, for example, feature information, specifically,
model data of a spatial distribution 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 lamination is performed;
the model space gap information includes: a safe distance of the vibration component, a safe distance of electromagnetic interference, a safe distance of the oil pipe and other components, and a safe distance of the wire harness and other components; spatial distance of optional equipment
Based on the model color information, detecting whether the color of the spatial distribution model satisfies the condition: the corresponding transparency is red, yellow, gray, respectively.
Based on the model space interference information, detecting whether a space allocation model meets the condition: no elements collide with each other.
Based on the model space gap information, detecting whether a space allocation model meets the condition: vibration safety distance, interference safety distance, electrical safety distance, and space distance of optional equipment
When the color condition therein is satisfied, determining that the spatial distribution model reaches a first preset maturity (e.g., 50%)
When the interference, clearance conditions are met, the spatial distribution model is determined to reach a second preset maturity (e.g., 100%)
Model data of a skeletal model, comprising: and acquiring skeleton release information, skeleton constraint information and skeleton state information.
Wherein, skeleton release information includes: element name, coloring, transparency, shape, and coordinate axes;
the skeleton constraint information includes: parameter positioning, coaxial constraint, fitting constraint, distance constraint, angle constraint, and constrained state.
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 looped reference state.
The model data of the mesh model includes: entity information, surface information, superposition element information, garbage elements and material information which influence the quality of the grid.
The entity information affecting the quality of the grid includes: octree tetrahedral information, entity fillet radius information
The curved surface information affecting the quality of the mesh includes: tangential continuous narrow-plane information, narrow-plane area information, and relatively narrow-plane information.
The rounded corner information affecting the quality of the mesh includes: allowed solid fillet radius information, allowed curved fillet radius, allowed chamfer length.
The coincidence element information affecting the quality of the grid includes: partially or fully overlapping faces, partially or fully overlapping lines, partially or fully overlapping points.
The garbage element information affecting the quality of the grid includes: useless surface elements, useless line elements, useless point elements, and useless entity elements.
The texture imparting information includes: a texture-imparting component body, a texture-imparting entity, and a texture-imparting design unit.
Model data for a process model, comprising: curve information, curved surface information, superposition information and garbage element information which affect the processing quality.
The curve information affecting the processing quality includes: self-intersecting curve information, distortion curve information, fine curve information and unconnected curve information;
the curved surface information affecting the processing quality includes: self-intersecting surface information, twisted surface information, fine surface information, narrow surface information and unconnected surface information;
the overlapping element information affecting the processing quality includes: partially or fully overlapping faces, partially or fully overlapping lines, partially or fully overlapping points.
The garbage element information affecting the processing quality includes: useless surface elements, useless line elements, useless point elements, and useless entity elements.
Model data of a property model, comprising: safety characteristic expression information, maintenance characteristic expression information, and assurance characteristic expression information.
The security characteristic expression information includes: safety region model coloring information, transparency information of a safety region and interval information of safety characteristics;
the maintenance characteristic expression information includes: the method comprises the steps of coloring information of a maintenance area model, transparency information of the maintenance area, accessibility information of the maintenance area and reservation information of the maintenance area;
the guarantee characteristic expression information includes: guaranteeing model coloring information, transparency information of a guaranteeing area and interval information of guaranteeing characteristics;
delivering model data for a model, comprising: garbage element information, model size information, model airspace information, model lightweight information and update state of a model.
The garbage element information includes: useless surface elements, useless line elements, useless point elements, and useless entity elements.
The model size information includes: number of bytes, megabytes;
the model airspace information includes: airspace information in the topology;
the update state of the model includes: has been updated, not activated.
The model lightweight information includes: the method does not comprise parameterized features, parameterized elements and light weight rate;
and determining the maturity of the geometric model needing to be evaluated 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 be evaluated according to the model data and the preset rule.
In the embodiment of the application, the model data and the preset rules are specifically as follows:
space allocation model maturity typical rules:
rule 1: the spatial distribution model must be associated with the skeletal model;
rule 2: space allocation model coloring must meet the requirements: semitransparent red, full yellow red, semitransparent gray;
rule 3: the space allocation model cannot interfere with other parts or models;
rule 4: the clearance between parts around the space distribution model must be kept 5-10 cm (different requirements of different professions);
rule 5: the spatial distribution model of the safe area is full red;
rule 6: the distribution model of the mounting channel must be yellow;
rule 7: the concept design stage is to divide a clear definition;
skeletal model maturity rules are typical:
rule 1: the skeleton model must be named according to the occupation of the aviation product;
rule 2: the skeleton model must be published to be referenced;
rule 3: the internal link relation of the skeleton model cannot be disconnected;
rule 4: the sizes of the skeleton model elements must be related according to the overall parameters of the product;
rule 5: the skeleton model elements need to be organized in a classified manner;
rule 6: the skeleton model must be fully constrained;
rule 7: parameters of the skeleton model are associated with the design form;
rule 8: the skeleton element must be in an active state;
rule 9: the skeleton model must be in a fully updated state before it is saved.
Grid model maturity typical rules:
rule 1: no fine curves or fine line segments can appear which lead to grid failure or quality problems;
rule 2: self-intersecting surfaces that fail to partition the mesh cannot occur;
rule 3: repeated curved surfaces with gaps between grids cannot appear;
rule 4: there cannot be a torsion surface that causes a solid suture failure, there cannot be a torsion surface that causes a large number of small grids;
rule 5: no fine edges and no more than 1% small grids can be present;
typical rules for process model maturity:
rule 1: machining model in layout: the absence of self-intersecting surfaces that result in burrs or over-cuts;
rule 2: machining model in layout: the self-intersecting curved surface which causes the failure of the tool path generation cannot exist;
rule 3: the pre-issued machining model cannot have a repeated curved surface which causes over-cutting of tool path calculation;
rule 4: the pre-issued processing model cannot 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 lead to slow processing;
characteristic model maturity typical rules
Rule 1: the safety area model is related to skeleton parameters;
rule 2: the safety area model is red with the transparency of 80 percent;
rule 3: ensuring the model color to be yellow with the transparency of 50%;
rule 4: the motion envelope model is related to the track parameters of the motion parts;
rule 5: the headspace model cannot interfere with other parts;
delivery model maturity typical rules
Rule 1: cannot include models with parameters and features;
rule 2: the lightweight model comprises elements with specific levels;
rule 3: external link relationships cannot be included in the model;
rule 4: quality defects of the warning class cannot be included 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 of which the maturity needs to be evaluated.
In the embodiment of the application, in order to simplify calculation, the maturity of the process evaluation model is obtained by directly utilizing the condition that each model accords with 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 entire 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 digital twin geometric model maturity evaluation device, which is characterized by comprising: the device 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 model to be processed and a maturity of the progress evaluation model, where the progress evaluation model includes: one or more of a space distribution model, a framework model, a grid model, a processing model, a characteristic model and a delivery model, which are used for representing the engineering progress corresponding to the model to be processed; determining a geometric model of the to-be-processed model, which needs to be evaluated for maturity, 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 of which the maturity is required to be evaluated;
the second data processing module is used for determining the maturity of the geometric model needing to be evaluated according to the model data and preset rules; 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 be evaluated for maturity.
An embodiment of the present application provides a storage medium, including:
for storing computer executable instructions that when executed implement the method of any of the preceding embodiments.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can 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 are also possible or may be advantageous.
In the 30 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented by using "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but not just one of the hdds, but a plurality of kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), lava, lola, myHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.
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 storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers, 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 of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, 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 functionally divided into various units, respectively. Of course, the functions of each unit may be implemented in the same piece or pieces of software and/or hardware when implementing the embodiments of the present specification.
One skilled in the relevant 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 present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present description is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
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 storage media for a computer 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, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
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 one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
One or more embodiments of the present 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.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The foregoing description is by way of example only and is not intended to limit the present disclosure. Various modifications and changes may occur to those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. that fall within the spirit and principles of the present document are intended to be included within the scope of the claims of the present document.
Claims (9)
1. A digital twin geometry model maturity assessment method, comprising:
collecting type identification information of a model to be processed;
according to the type identification information, determining a progress evaluation model to be evaluated and a maturity of the progress evaluation model, wherein the progress evaluation model comprises: one or more of a space distribution model, a framework model, a grid model, a processing model, a characteristic model and a delivery model, which are used for representing the engineering progress corresponding to the model to be processed;
determining a geometric model of the to-be-processed model, which needs to be evaluated for maturity, based on the progress evaluation model and the maturity of the progress evaluation model;
collecting model data corresponding to the geometric model of which the maturity needs to be evaluated;
determining the maturity of the geometric model needing to be evaluated according to the model data and a preset rule;
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 be evaluated for maturity;
the determining a geometric model of the model to be processed, which needs to be evaluated for maturity, based on the progress evaluation model and the maturity of the progress evaluation model comprises the following steps:
determining whether the model to be processed is performed according to a preset process sequence according to the progress evaluation model;
when the to-be-processed model is determined to be carried out according to a preset progress sequence, determining a progress evaluation model to be evaluated according to the maturity of the progress evaluation model;
and determining the geometric model to be evaluated from the progress evaluation model to be evaluated.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the progress evaluation model to be evaluated is the space allocation model;
the step of collecting the model data corresponding to the geometric model of which the maturity needs to be evaluated comprises the following steps:
and collecting model color information, model space interference information and model space clearance information, and space sweep parameter information.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the progress evaluation model to be evaluated is the skeleton model;
the step of collecting the model data corresponding to the geometric model of which the maturity needs to be evaluated comprises the following steps:
and acquiring skeleton release information, skeleton constraint information and skeleton state information.
4. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the progress evaluation model to be evaluated is the grid model;
the step of collecting the model data corresponding to the geometric model of which the maturity needs to be evaluated comprises the following steps:
and acquiring entity, curved surface, fillet information, coincidence element information, garbage element and material information which influence the quality of the grid.
5. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the progress evaluation model to be evaluated is the processing model;
the step of collecting the model data corresponding to the geometric model of which the maturity needs to be evaluated comprises the following steps:
the method comprises the steps of collecting self-intersecting curve surface information, twisting curve surface information, fine curve segment surface information, discontinuous curve surface information, superposition element information and garbage element information.
6. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the progress evaluation model to be evaluated is the characteristic model;
the step of collecting the model data corresponding to the geometric model of which the maturity needs to be evaluated comprises the following steps:
and collecting safety characteristic expression information, maintenance characteristic expression information and guarantee characteristic expression information.
7. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the progress evaluation model to be evaluated is the delivery model;
the step of collecting the model data corresponding to the geometric model of which the maturity needs to be evaluated comprises the following steps:
garbage element information, model size information, model airspace information and model light weight information are collected.
8. A digital twin geometry model maturity assessment apparatus, comprising: the device 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 model to be processed and a maturity of the progress evaluation model, where the progress evaluation model includes: one or more of a space distribution model, a framework model, a grid model, a processing model, a characteristic model and a delivery model, which are used for representing the engineering progress corresponding to the model to be processed; determining a geometric model of the to-be-processed model, which needs to be evaluated for maturity, 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 of which the maturity is required to be evaluated;
the second data processing module is used for determining the maturity of the geometric model needing to be evaluated according to the model data and preset rules; 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 be evaluated for maturity;
the first data processing module is used for determining whether the model to be processed is performed according to a preset process sequence according to the progress evaluation model; when the to-be-processed model is determined to be carried out according to a preset progress sequence, determining a progress evaluation model to be evaluated according to the maturity of the progress evaluation model; and determining the geometric model to be evaluated from the progress evaluation model to be evaluated.
9. A storage medium, comprising:
for storing computer-executable instructions which, when executed, implement the method of any of claims 1-7.
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