CN106529050A - Three-dimensional model data detection method, device and system for product - Google Patents
Three-dimensional model data detection method, device and system for product Download PDFInfo
- Publication number
- CN106529050A CN106529050A CN201611020215.5A CN201611020215A CN106529050A CN 106529050 A CN106529050 A CN 106529050A CN 201611020215 A CN201611020215 A CN 201611020215A CN 106529050 A CN106529050 A CN 106529050A
- Authority
- CN
- China
- Prior art keywords
- detection
- detected
- dimensional modeling
- modeling data
- dimensional
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
Abstract
The invention provides a three-dimensional model data detection method, device and system for a product. The method comprises the steps of data acquiring, wherein three-dimensional model data to be detected and content items to be detected are acquired; detection item setting, wherein a detection set is selected according to the three-dimensional model data to be detected, and decision values of detection items in the detection set are set; detecting, wherein the content items to be detected are detected according to the decision values of the detection items; detection result outputting, wherein the content items which do not accord with the decision values are output to serve as a detection result. According to the three-dimensional model data detection method, the detection set is constructed, so that the detection standard is unified; a user sets the values of the detection items, detection is completed through a computer system, and then the detection efficiency is improved; the user can submit the designed three-dimensional model data to a server for detection at any time, and therefore the real-time performance of detection is achieved; in addition, the detection result can be counted and analyzed, and then the product design efficiency can be improved.
Description
Technical field
The present invention relates to technical field of data processing, particularly a kind of product three-dimensional modeling data detection method, device and
System.
Background technology
With the continuous development of cad technique, three-dimensional digital design is applied in product design more and more.Each three-dimensional
The modeling specifications such as the modeling demand of platform, two dimensional drafting regulation, three-dimensional objects geometric model design requirement are formulated and implement, no
Only specification design, while ensure that being smoothed out for concurrent engineering.The detection of CAD data model specificationization is company standard chemical industry
The critically important part made, has only unified standard and strictly has required to be detected according to standard, the CAD of Cai Huishi enterprises
Model data and file meet Products Digital and define general requirements, i.e., examination criteria disunity of the prior art, detection efficiency
Lowly.
At present, Standardized Verification personnel are progressively examined from the mode for printing paper mold drawing, to soft in three-dimensional
In part, review mode carries out transition.But enterprise is usually that audit crew is few, and drawing, model quantity are big, audit crew long-time
Stare at screen review and cause visual fatigue, easily cause missing inspection.Such as certain Aviation Enterprise, send out in figure task in nearest model,
It is accomplished by short notice issuing 20,000 multiple drawings.But their mark examines personnel also less than 10 people, averagely to everyone drawing
Measure for 2000 multiple.If continuing to use original tradition review mode, mark at the appointed time the personnel of examining be borne by it is arduous and heavy
Task, such as in certain enterprise during check of drawings, be related to model file title, model attributes and property value, model annotation attribute,
Modeling material and density, feature location inspection, mount attribute, Assembly Interference inspection, assembling localization examination etc. examine item, if people
Work needs each attribute in opening model to be examined one by one to examine, time-consuming, effort.Therefore, urgent need will improve standardization
Censorship efficiency, allows the message audit such as quantitative, qualitative to be realized by computer, such as threedimensional model attribute information, layer properties
Information, Benchmark System, the association of feature annotation information etc., computer can realize examination automatically completely, it is not necessary to again using artificial side
Formula examination, meanwhile, manual type cannot be realized into the content of quick examination, the discernible mode of computer is converted into and is realized, this
Sample can not only liberate labour force, moreover it is possible to improve the accuracy rate and work efficiency for examining, and avoid the leakage that human error is caused
Inspection.
Meanwhile, under digitized design platform environment, need early to find asking in Product Definition and modeling process
Topic, is just avoided that unnecessary doing over again and substantial amounts of contingency question.Standardized Verification is preferably needed by current " postmortem
Type " is changed into " real-time monitoring type ", once not being inconsistent standardization requirement, just the very first time should examine out and notice designer, and
When be modified, accelerate new product development process, i.e., be difficult to real-time detection in prior art.
The content of the invention
The present invention is directed to above-mentioned defect of the prior art, it is proposed that following technical scheme.
Specifically, the present invention provides a kind of product three-dimensional modeling data detection method, comprises the following steps:
Data acquisition step, for obtaining three-dimensional modeling data to be detected, and determines detection content according to user's request
;
Detection setting steps, select detection collection according to three-dimensional modeling data to be detected, and arrange the detection to concentrate
Detection decision content;
Detecting step, detects to content item to be detected according to the decision content of detection;
Testing result exports step, and output does not meet the content item of the decision content as testing result.
Further, methods described also includes:
Storing step, for the testing result is stored in data base.
Further, the operation to the detection collection includes:Newly-built, editor deletes.
Further, also included before the data acquisition step:
Detection pattern selects step, for selecting detection pattern for single file detection pattern or batch documents detection mould
Formula.
Further, methods described also includes:
Analysis of test results step:For counting different designer when different time checks three-dimensional modeling data
Testing result.
Further, the detection to three-dimensional modeling data includes:
Engineering drawing detection, substance feature detection, model inspection, assembling detection, Curved dectection, curve detection, topology detection
Detect with three-dimensional labeling;
Wherein, the detection of engineering drawing detection includes:Dimension relationship detection, the detection of engineering drawing title, engineering drawing drawing
Standard detection, tolerance value detection, fiducial mark detection, view association the detection of threedimensional model file, position of related features benchmaring,
The detection of form and position tolerance fiducial mark, the detection of form and position tolerance numerical value;
The detection of substance feature detection includes:The detection of withdrawing pattern feature detection, chamfering and Fillet Feature, characteristic threads inspection
Survey, take out shell feature detection, significant condition detection, feature location detection;
The detection of model inspection includes:The detection of bag zero thickness entity, threedimensional model show detection, the inspection of file coordinate system
Survey, model file is detected, file name is detected, model attributes detection;
The detection of assembling detection includes:Assembly interferes detection, assembling positioning and constraint detection, part and son assembling hidden
Hide detection, assembling assembly material tests;
The detection of Curved dectection includes:Small Curved dectection, seriality detection, degree of polynomial detection, minimum curvature
Angle detection between radius detection, boundary curve;
The detection of curve detection includes:Slight arc and Line segment detection, the detection of approximate or identical element, seriality inspection
Survey, degree of polynomial detection, the detection of the surge detection of curve, multiple knot;
The detection of topology detection includes:Method swears orientation detection;
The detection of three-dimensional labeling detection includes:Mark association geometry character detection, mark collection state-detection, rough surface
Degree correctness detection, symmetrical member are detected, Model Structure Tree standardization is detected, company standard size marking accuracy is detected, three-dimensional
Mark Capture detections, three-dimensional labeling view plane and camera orientation detection, the detection of three-dimensional geometry tolerances marking.
The invention allows for a kind of product three-dimensional modeling data detection means, including:
Data capture unit, for obtaining three-dimensional modeling data to be detected and content item to be detected,
Detection setting unit, selects detection collection according to three-dimensional modeling data to be detected, and arranges the detection to concentrate
Detection decision content;
Detector unit, detects to content item to be detected according to the decision content of detection;
Testing result output unit, output do not meet the content item of the decision content as testing result.
The invention allows for a kind of product three-dimensional modeling data detecting system, it is characterised in that:The system includes inspection
Server and client side is surveyed, the detection service device is provided with detection collection data base and testing result data base;
The client is configured to:For obtaining three-dimensional modeling data to be detected and content item to be detected, and
The content item to be detected is sent to detection service device;
The detection service device is configured to:Detection collection is selected from detection collection data base, and arranges the detection to concentrate
Detection decision content, content item to be detected is detected according to the decision content of detection, output does not meet described to be sentenced
The content item of definite value sends testing result to the client as testing result, and testing result is stored in detection knot
Fruit data base.
Further, the detection service device is additionally configured to operate the detection collection, and the operation includes:
Newly-built, editor deletes.
Further, the detection service device is additionally configured to examine in different time for counting different designers
Look into testing result during three-dimensional modeling data.
Further, the detection to three-dimensional modeling data includes:
Engineering drawing detection, substance feature detection, model inspection, assembling detection, Curved dectection, curve detection, topology detection
Detect with three-dimensional labeling;
Wherein, the detection of engineering drawing detection includes:Dimension relationship detection, the detection of engineering drawing title, engineering drawing drawing
Standard detection, tolerance value detection, fiducial mark detection, view association the detection of threedimensional model file, position of related features benchmaring,
The detection of form and position tolerance fiducial mark, the detection of form and position tolerance numerical value;
The detection of substance feature detection includes:The detection of withdrawing pattern feature detection, chamfering and Fillet Feature, characteristic threads inspection
Survey, take out shell feature detection, significant condition detection, feature location detection;
The detection of model inspection includes:The detection of bag zero thickness entity, threedimensional model show detection, the inspection of file coordinate system
Survey, model file is detected, file name is detected, model attributes detection;
The detection of assembling detection includes:Assembly interferes detection, assembling positioning and constraint detection, part and son assembling hidden
Hide detection, assembling assembly material tests;
The detection of Curved dectection includes:Small Curved dectection, seriality detection, degree of polynomial detection, minimum curvature
Angle detection between radius detection, boundary curve;
The detection of curve detection includes:Slight arc and Line segment detection, the detection of approximate or identical element, seriality inspection
Survey, degree of polynomial detection, the detection of the surge detection of curve, multiple knot;
The detection of topology detection includes:Method swears orientation detection;
The detection of three-dimensional labeling detection includes:Mark association geometry character detection, mark collection state-detection, rough surface
Degree correctness detection, symmetrical member are detected, Model Structure Tree standardization is detected, company standard size marking accuracy is detected, three-dimensional
Mark Capture detections, three-dimensional labeling view plane and camera orientation detection, the detection of three-dimensional geometry tolerances marking.
The present invention technique effect be:The method for proposing the detection of three-dimensional modeling data, constructs detection collection so that inspection
Mark is accurate unified, and user has computer system to complete detection by the value for setting detection, improves detection efficiency, and user can
Server is submitted to be detected the three-dimensional modeling data of design at any time, detection is with real-time, and can enter to testing result
Row statistical analysiss, are favorably improved product design efficiency.
Description of the drawings
Fig. 1 is a kind of flow chart of product three-dimensional modeling data detection method of the present invention;
Fig. 2 is a kind of schematic diagram of product three-dimensional modeling data detection means of the present invention;
Fig. 3 is a kind of schematic diagram of product three-dimensional modeling data detecting system of the present invention.
Specific embodiment
The purpose of the present invention is the CAD moulds that complete set is provided for enterprise product design, standardization and management personnel
Type standardization inspection system, on the one hand helps enterprise to improve CAD model design and check criteria specification, and another aspect solves manual
The problem that workload is big, efficiency is low in CAD model standardization checking process under state, and in rapidly and accurately checking design process
The data lack of standardization, irrational such as the Element Design mark for being formed, realize dynamic configuration inspection collection, are standardized automatically
The function of inspection.
1-3 is specifically described below in conjunction with the accompanying drawings.
Fig. 1 shows a kind of product three-dimensional modeling data detection method of the present invention, comprises the following steps:
S11, data acquisition step, for obtaining three-dimensional modeling data to be detected, and determine detection according to user's request
Content item;
S12, detection setting steps, select detection collection according to three-dimensional modeling data to be detected, and arrange the detection
The decision content of the detection of concentration;
S13, detecting step, detect to content item to be detected according to the decision content of detection;
S14, testing result output step, output do not meet the content item of the decision content as testing result.
Choose content item to be detected can be voluntarily selected by user or designer according to actual needs in step S11,
Can carry out selecting the data base of content item can also be sent to server by the data base of the content item in computer, from
Select in server.
In order to preserve testing result, subsequent user is facilitated to check, statistical analysiss etc., this method can also include storage step
Suddenly, for the testing result is stored in data base.The data for being adopted can be with the more commonly used sql databases.
It is one of important inventive point of the present invention to arrange unified detection collection, and being only provided with unified detection collection just can be with
So that the unified industry standard of detection, in general, the operation to the detection collection at least includes:Newly-built, editor deletes.
The specific design of the present invention detection collection of the following project of detection:Engineering drawing detection, substance feature detection, model inspection
Survey, assemble the detection of detection, Curved dectection, curve detection, topology detection and three-dimensional labeling, each detection collects specific detection such as
It is lower concrete described.
The detection of engineering drawing detection includes:Dimension relationship detection, the detection of engineering drawing title, the inspection of engineering drawing drafting standard
Survey, tolerance value detection, fiducial mark detection, the threedimensional model file detection of view association, position of related features benchmaring, morpheme are public
Difference fiducial mark detection, the detection of form and position tolerance numerical value.
The detection of substance feature detection includes:The detection of withdrawing pattern feature detection, chamfering and Fillet Feature, characteristic threads inspection
Survey, take out shell feature detection, significant condition detection, feature location detection.
The detection of model inspection includes:The detection of bag zero thickness entity, threedimensional model show detection, the inspection of file coordinate system
Survey, model file is detected, file name is detected, model attributes detection.
The detection of assembling detection includes:Assembly interferes detection, assembling positioning and constraint detection, part and son assembling hidden
Hide detection, assembling assembly material tests.
The detection of Curved dectection includes:Small Curved dectection, seriality detection, degree of polynomial detection, minimum curvature
Angle detection between radius detection, boundary curve.
The detection of curve detection includes:Slight arc and Line segment detection, the detection of approximate or identical element, seriality inspection
Survey, degree of polynomial detection, the detection of the surge detection of curve, multiple knot.
The detection of topology detection includes:Method swears orientation detection.
The detection of three-dimensional labeling detection includes:Mark association geometry character detection, mark collection state-detection, rough surface
Degree correctness detection, symmetrical member are detected, Model Structure Tree standardization is detected, company standard size marking accuracy is detected, three-dimensional
Mark Capture detections, three-dimensional labeling view plane and camera orientation detection, the detection of three-dimensional geometry tolerances marking.
In order to improve detection efficiency, the present invention supports single file detection and batch documents detection, therefore, the side of the present invention
Method selects step by detection pattern before start, selects detection pattern to be single file detection pattern or batch documents detection mould
Formula.
It is to use testing result, the method for the present invention can also include:Analysis of test results step:It is different for counting
Testing result of the designer when different time checks three-dimensional modeling data.Different designs can be analyzed by the analytical procedure
Error rate of personnel etc., helps designer to improve accuracy, and then improves design efficiency.
Fig. 2 shows the invention allows for a kind of product three-dimensional modeling data detection means, including:
Data capture unit 21, for obtaining three-dimensional modeling data to be detected, and determines content item to be detected;
Detection setting unit 22, selects detection collection according to three-dimensional modeling data to be detected, and arranges the detection collection
In detection decision content;
Detector unit 23, detects to content item to be detected according to the decision content of detection;
Testing result output unit 24, output do not meet the content item of the decision content as testing result.
A kind of product three-dimensional modeling data detection means of the present invention is corresponding with the method for the present invention, and the device is also
Other step corresponding modules of corresponding method can be included, be will not be described here.
Fig. 3 shows a kind of product three-dimensional modeling data detecting system of the present invention, and the system includes detection service device
31 and client 32, the detection service device 31 is provided with detection collection data base 33 and testing result data base 34;
The client 32 is configured to:For obtaining three-dimensional modeling data to be detected, content item to be detected is determined,
And the content item to be detected is sent to detection service device 31;
The detection service device 31 is configured to:Detection collection is selected from detection collection data base 33, and the detection is set
The decision content of the detection of concentration, detects to content item to be detected according to the decision content of detection, and output does not meet institute
The content item of decision content is stated as testing result, testing result is sent to the client, and testing result is stored in into inspection
Survey result database 34.
The system adopts C/S frameworks, and between detection service device 31 and client 32, open interface completes data transfer, user
By detecting that the data messages such as collection server 31 pairs of detection collection, mistake decision content, error descriptions are managed maintenance.Detection service
Device 31 carries out standardization inspection to model according to detection collection, detection, decision content etc..Testing result is stored in Test database 33
In, being provided with testing result statistical analysis module by detection service device 31 carries out result queries, statistics, analysis.
Presentation layer is displayed in client 32, and the system interface that user can directly access and operate, presentation layer just can
The data or access request of user input are passed to into operation layer.
Coherent detection operation on detection service device 31 constitutes operation layer:The business logical operation of system.Operation layer is by each
Individual component is constituted, and is received the information of presentation layer, is called corresponding assembly to carry out functional realiey.
The data processing that is related on detection service device 31 constitutes data Layer:It is related to data storage or reading in package system
Operation.
The related service of operation layer is encapsulated as Service Component by detection service device 31:The function and public module of system are carried
Refine, be packaged into Service Component, and standard interface is provided, call for inter-module or presentation layer and data Layer.
In order to detect to cad file, detection service device 31 includes CAD second development interfaces (API) and CAD access groups
Part, the second development interface that CAD platforms are provided, conducts interviews to CAD data and has to using CAD second development interfaces;CAD is visited
Ask that component is the passage that bottom access is carried out to CAD data, different interfaces are realized respectively according to different CAD platforms.
Detection service device 31 also provides data access interface:Storage and reading to XML file is provided.XML file can be with
It is placed on local, it is also possible to put on the remote server.
To guarantee safety, detection service device 31 adopts permission agreement certification with 32 quality inspection of client, systematic difference is adopted
With the certification system of permission agreement, including the access control management to systemic-function.
For detection of seeking unity of action, detection service device 31 is also including component enforcement engine:Management assembly is called, user interface
Program calls Service Component and CAD to access component by component enforcement engine.
The detection service device 31 is additionally configured to operate the detection collection, and the operation includes:Newly-built, editor
Or delete.
The detection service device 31 is additionally configured to check three-dimensional mould in different time for counting different designers
Testing result during type data.
Detection to three-dimensional modeling data includes:
Engineering drawing detection, substance feature detection, model inspection, assembling detection, Curved dectection, curve detection, topology detection
Detect with three-dimensional labeling;
Wherein, the detection of engineering drawing detection includes:Dimension relationship detection, the detection of engineering drawing title, engineering drawing drawing
Standard detection, tolerance value detection, fiducial mark detection, view association the detection of threedimensional model file, position of related features benchmaring,
The detection of form and position tolerance fiducial mark, the detection of form and position tolerance numerical value;
The detection of substance feature detection includes:The detection of withdrawing pattern feature detection, chamfering and Fillet Feature, characteristic threads inspection
Survey, take out shell feature detection, significant condition detection, feature location detection;
The detection of model inspection includes:The detection of bag zero thickness entity, threedimensional model show detection, the inspection of file coordinate system
Survey, model file is detected, file name is detected, model attributes detection;
The detection of assembling detection includes:Assembly interferes detection, assembling positioning and constraint detection, part and son assembling hidden
Hide detection, assembling assembly material tests;
The detection of Curved dectection includes:Small Curved dectection, seriality detection, degree of polynomial detection, minimum curvature
Angle detection between radius detection, boundary curve;
The detection of curve detection includes:Slight arc and Line segment detection, the detection of approximate or identical element, seriality inspection
Survey, degree of polynomial detection, the detection of the surge detection of curve, multiple knot;
The detection of topology detection includes:Method swears orientation detection;
The detection of three-dimensional labeling detection includes:Mark association geometry character detection, mark collection state-detection, rough surface
Degree correctness detection, symmetrical member are detected, Model Structure Tree standardization is detected, company standard size marking accuracy is detected, three-dimensional
Mark Capture detections, three-dimensional labeling view plane and camera orientation detection, the detection of three-dimensional geometry tolerances marking.
Method of the present invention, can be realized by computer program, it is also possible to which computer program is stored in storage
On medium, processor reads computer program from storage medium, and performs corresponding method, completes the work of series compensation device
Make the monitoring of state, it is ensured that its work safety.
It should be noted last that:Above example only illustrates and not to limit technical scheme, although reference
Above-described embodiment has been described in detail to the present invention, it will be understood by those within the art that:Still can be to this
It is bright to modify or equivalent, any modification or partial replacement without departing from the spirit and scope of the present invention, which all should
Cover in the middle of scope of the presently claimed invention.
Claims (10)
1. a kind of product three-dimensional modeling data detection method, it is characterised in that comprise the following steps:
Data acquisition step, for obtaining three-dimensional modeling data to be detected, and determines detection content item according to user's request;
Detection setting steps, select detection collection according to three-dimensional modeling data to be detected, and arrange the inspection that the detection is concentrated
Survey the decision content of item;
Detecting step, detects to content item to be detected according to the decision content of detection;
Testing result exports step, and output does not meet the content item of the decision content as testing result.
2. product three-dimensional modeling data detection method according to claim 1, it is characterised in that methods described also includes:
Storing step, for the testing result is stored in data base.
3. product three-dimensional modeling data detection method according to claim 1, it is characterised in that the behaviour to the detection collection
Work includes:Newly-built, editor deletes.
4. product three-dimensional modeling data detection method according to claim 1, it is characterised in that walk in the data acquisition
Also included before rapid:
Detection pattern selects step, for selecting detection pattern for single file detection pattern or batch documents detection pattern.
5. product three-dimensional modeling data detection method according to claim 2, it is characterised in that methods described also includes:
Analysis of test results step:For counting the detection of different designer when different time checks three-dimensional modeling data
As a result.
6. the product three-dimensional modeling data detection method according to any one of claim 1-5, it is characterised in that to three-dimensional mould
The detection of type data includes:
Engineering drawing detection, substance feature detection, model inspection, assembling detection, Curved dectection, curve detection, topology detection and three
Dimension mark detection;
Wherein, the detection of engineering drawing detection includes:Dimension relationship detection, the detection of engineering drawing title, engineering drawing drafting standard
Detection, tolerance value detection, fiducial mark detection, the threedimensional model file detection of view association, position of related features benchmaring, morpheme
Tolerance fiducial mark is detected and form and position tolerance numerical value is detected;
The detection of substance feature detection includes:The detection of withdrawing pattern feature detection, chamfering and Fillet Feature, characteristic threads are detected, are taken out
Shell feature detection, significant condition detection and feature location detection;
The detection of model inspection includes:The detection of bag zero thickness entity, threedimensional model show detection, the detection of file coordinate system, mould
The detection of type file, file name detection and model attributes detection;
The detection of assembling detection includes:Assembly interferes detection, assembling positioning and constraint detection, part and son assembling to hide and examine
Survey and assembling assembly material tests;
The detection of Curved dectection includes:Small Curved dectection, seriality detection, degree of polynomial detection, minimum profile curvature radius
Angle detection between detection and boundary curve;
The detection of curve detection includes:Slight arc and Line segment detection, approximate or identical element are detected, seriality is detected, many
The number of times detection of item formula, the surge detection of curve and multiple knot detection;
The detection of topology detection includes:Method swears orientation detection;
The detection of three-dimensional labeling detection includes:Mark association geometry character detection, mark collection state-detection, surface roughness are just
Really property is detected, symmetrical member is detected, Model Structure Tree standardization is detected, company standard size marking accuracy is detected, three-dimensional labeling
Capture detections, three-dimensional labeling view plane and camera orientation detection and the detection of three-dimensional geometry tolerances marking.
7. a kind of product three-dimensional modeling data detection means, it is characterised in that include:
Data capture unit, for obtaining three-dimensional modeling data to be detected and content item to be detected,;
Detection setting unit, selects detection collection according to three-dimensional modeling data to be detected, and arranges the inspection that the detection is concentrated
Survey the decision content of item;
Detector unit, detects to content item to be detected according to the decision content of detection;
Testing result output unit, output do not meet the content item of the decision content as testing result.
8. a kind of product three-dimensional modeling data detecting system, it is characterised in that:The system includes detection service device and client,
The detection service device is provided with detection collection data base and testing result data base;
The client is configured to:For obtaining three-dimensional modeling data to be detected and content item to be detected;
The detection service device is configured to:Detection collection is selected from detection collection data base, and the inspection that the detection is concentrated is set
The decision content of item is surveyed, content item to be detected is detected according to the decision content of detection, output does not meet the decision content
Content item as testing result, testing result is sent to the client, and testing result is stored in into testing result number
According to storehouse.
9. product three-dimensional modeling data detecting system according to claim 7, it is characterised in that the detection service device is also
It is configured to operate the detection collection, the operation includes:Newly-built, editor deletes;
Or the detection service device is additionally configured to check threedimensional model number in different time for counting different designers
According to when testing result.
10. product three-dimensional modeling data detecting system according to claim 8 or claim 9, it is characterised in that to threedimensional model number
According to detection include:
Engineering drawing detection, substance feature detection, model inspection, assembling detection, Curved dectection, curve detection, topology detection and three
Dimension mark detection;
Wherein, the detection of engineering drawing detection includes:Dimension relationship detection, the detection of engineering drawing title, engineering drawing drafting standard
Detection, tolerance value detection, fiducial mark detection, the threedimensional model file detection of view association, position of related features benchmaring, morpheme
Tolerance fiducial mark is detected and form and position tolerance numerical value is detected;
The detection of substance feature detection includes:The detection of withdrawing pattern feature detection, chamfering and Fillet Feature, characteristic threads are detected, are taken out
Shell feature detection, significant condition detection and feature location detection;
The detection of model inspection includes:The detection of bag zero thickness entity, threedimensional model show detection, the detection of file coordinate system, mould
The detection of type file, file name detection and model attributes detection;
The detection of assembling detection includes:Assembly interferes detection, assembling positioning and constraint detection, part and son assembling to hide and examine
Survey and assembling assembly material tests;
The detection of Curved dectection includes:Small Curved dectection, seriality detection, degree of polynomial detection, minimum profile curvature radius
Angle detection between detection and boundary curve;
The detection of curve detection includes:Slight arc and Line segment detection, approximate or identical element are detected, seriality is detected, many
The number of times detection of item formula, the surge detection of curve and multiple knot detection;
The detection of topology detection includes:Method swears orientation detection;
The detection of three-dimensional labeling detection includes:Mark association geometry character detection, mark collection state-detection, surface roughness are just
Really property is detected, symmetrical member is detected, Model Structure Tree standardization is detected, company standard size marking accuracy is detected, three-dimensional labeling
Capture detections, three-dimensional labeling view plane and camera orientation detection and the detection of three-dimensional geometry tolerances marking.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611020215.5A CN106529050A (en) | 2016-11-18 | 2016-11-18 | Three-dimensional model data detection method, device and system for product |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611020215.5A CN106529050A (en) | 2016-11-18 | 2016-11-18 | Three-dimensional model data detection method, device and system for product |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106529050A true CN106529050A (en) | 2017-03-22 |
Family
ID=58352292
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611020215.5A Withdrawn CN106529050A (en) | 2016-11-18 | 2016-11-18 | Three-dimensional model data detection method, device and system for product |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106529050A (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107729474A (en) * | 2017-10-13 | 2018-02-23 | 中车工业研究院有限公司 | Data quality checking method, system, equipment and the storage medium of CAD model |
CN108564658A (en) * | 2018-05-03 | 2018-09-21 | 宁德师范学院 | A kind of gradual three-dimensional entity model structure system and method based on reverse-engineering |
CN108764029A (en) * | 2018-04-16 | 2018-11-06 | 南京维拓科技股份有限公司 | Model intelligence inspection method |
CN110109839A (en) * | 2019-05-09 | 2019-08-09 | 苏州亿歌网络科技有限公司 | Resource batch method of calibration and system based on 3dsMAX |
CN111125830A (en) * | 2019-12-11 | 2020-05-08 | 中国航空综合技术研究所 | Long-period data storage inspection method based on model definition |
CN112066923A (en) * | 2020-08-14 | 2020-12-11 | 苏州环球科技股份有限公司 | Virtual measurement method for position degree |
CN114626111A (en) * | 2022-01-27 | 2022-06-14 | 广州中望龙腾软件股份有限公司 | Feature recognition method of three-dimensional model, electronic device and storage medium |
CN114741358A (en) * | 2022-04-14 | 2022-07-12 | 一汽解放汽车有限公司 | Part parameter detection method, device, computer equipment and storage medium |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105574229A (en) * | 2015-11-03 | 2016-05-11 | 徐工集团工程机械股份有限公司 | Examination method and examination equipment of three-dimensional process model |
-
2016
- 2016-11-18 CN CN201611020215.5A patent/CN106529050A/en not_active Withdrawn
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105574229A (en) * | 2015-11-03 | 2016-05-11 | 徐工集团工程机械股份有限公司 | Examination method and examination equipment of three-dimensional process model |
Non-Patent Citations (4)
Title |
---|
夏晓理 等: "基于规则集的模型质量自动化检查系统研究", 《制造业自动化》 * |
柴震: "三维模型数据质量检查技术研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
王宁 等: "基于CATIA二次开发技术的模型质量检查", 《新技术新工艺》 * |
薛莲: "基于CATIA 的三维模型检测系统的设计与实现", 《机电产品开发与创新》 * |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107729474A (en) * | 2017-10-13 | 2018-02-23 | 中车工业研究院有限公司 | Data quality checking method, system, equipment and the storage medium of CAD model |
CN107729474B (en) * | 2017-10-13 | 2020-07-28 | 中车工业研究院有限公司 | Data quality detection method, system, equipment and storage medium of CAD model |
CN108764029A (en) * | 2018-04-16 | 2018-11-06 | 南京维拓科技股份有限公司 | Model intelligence inspection method |
CN108564658A (en) * | 2018-05-03 | 2018-09-21 | 宁德师范学院 | A kind of gradual three-dimensional entity model structure system and method based on reverse-engineering |
CN110109839A (en) * | 2019-05-09 | 2019-08-09 | 苏州亿歌网络科技有限公司 | Resource batch method of calibration and system based on 3dsMAX |
CN111125830A (en) * | 2019-12-11 | 2020-05-08 | 中国航空综合技术研究所 | Long-period data storage inspection method based on model definition |
CN111125830B (en) * | 2019-12-11 | 2021-08-20 | 中国航空综合技术研究所 | Long-period data storage inspection method based on model definition |
CN112066923A (en) * | 2020-08-14 | 2020-12-11 | 苏州环球科技股份有限公司 | Virtual measurement method for position degree |
CN114626111A (en) * | 2022-01-27 | 2022-06-14 | 广州中望龙腾软件股份有限公司 | Feature recognition method of three-dimensional model, electronic device and storage medium |
CN114626111B (en) * | 2022-01-27 | 2023-04-07 | 广州中望龙腾软件股份有限公司 | Feature recognition method of three-dimensional model, electronic device and storage medium |
CN114741358A (en) * | 2022-04-14 | 2022-07-12 | 一汽解放汽车有限公司 | Part parameter detection method, device, computer equipment and storage medium |
CN114741358B (en) * | 2022-04-14 | 2024-05-03 | 一汽解放汽车有限公司 | Component parameter detection method, device, computer equipment and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106529050A (en) | Three-dimensional model data detection method, device and system for product | |
CN106845579B (en) | Informationized control method and control system for improving product quality inspection correctness | |
US7047151B2 (en) | System and method for detecting defects of objects based on a CAD platform | |
US8533152B2 (en) | System and method for data provenance management | |
CN106383859B (en) | Analysis processing method for test flight data | |
CN109658396A (en) | A kind of casting x-ray image defect identification method based on selective search and CNN | |
CN109784758B (en) | Engineering quality supervision early warning system and method based on BIM model | |
CN103226743B (en) | Aircraft equipment technology maturity based on TRL assesses information processing method | |
US20130151428A1 (en) | Real-time inspection of commodities in an integrated information management system | |
CN108564283A (en) | Construction quality rating database construction method based on BIM | |
CN109933578A (en) | A kind of configurable automated data detection method for quality and system | |
CN113779261B (en) | Quality evaluation method and device of knowledge graph, computer equipment and storage medium | |
US7992126B2 (en) | Apparatus and method for quantitatively measuring the balance within a balanced scorecard | |
CN112364011B (en) | Online data model management device, method and system | |
TWI257538B (en) | On-line quality control information system and method | |
CN113821554A (en) | Method for realizing data acquisition of heterogeneous database | |
CN108549672A (en) | A kind of intelligent data analysis method and system | |
CN111563031A (en) | Game resource checking method, system, storage medium and computing device | |
CN111143432A (en) | Data analysis early warning system and method for event processing result | |
Angelo et al. | The RGM data structure: a nominal interpretation of an acquired high point density model for automatic tolerance inspection | |
CN108897877A (en) | Big data analysis tool and method based on EXCEL | |
CN107357734A (en) | A kind of unit test method and device | |
KR102217092B1 (en) | Method and apparatus for providing quality information of application | |
Sujanawati et al. | Analysis of Business Process Management (BPM) Effect towards Data and Information Quality Improvement at Higher Education: A Literature Study | |
CN113657854A (en) | Man-machine cooperation intelligent audit analysis method for incomplete data |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20170322 |
|
WW01 | Invention patent application withdrawn after publication |