CN103954215B - Efficient projection enlarged image detection method - Google Patents
Efficient projection enlarged image detection method Download PDFInfo
- Publication number
- CN103954215B CN103954215B CN201410171874.3A CN201410171874A CN103954215B CN 103954215 B CN103954215 B CN 103954215B CN 201410171874 A CN201410171874 A CN 201410171874A CN 103954215 B CN103954215 B CN 103954215B
- Authority
- CN
- China
- Prior art keywords
- data model
- detection
- enlarged drawing
- projection enlarged
- coordinate system
- 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.)
- Active
Links
Landscapes
- Processing Or Creating Images (AREA)
Abstract
The invention belongs to the field of detection, and relates to improvement of a projection enlarged image detection method. An efficient projection enlarged image detection method can be used for detecting a projection enlarged image, quick measuring of the projection enlarged image is achieved, a visualization detection data processing mode is formed, efficiency, the automation degree and the intelligence degree of a detection device are improved, complexity and mistakes during measuring and calculation processes in the prior art are reduced, data accuracy is improved, detection efficiency and detection accuracy are improved, and the first-class level of the industry is reached.
Description
Technical field
The invention belongs to detection field, it is related to the detection method to projection enlarged drawing and improves.
Background technology
Projection enlarged drawing is that production unit is used, and is plotted in the inspection amplified through certain multiple on nylon film
Mark is accurate.In drawing process, due to the precision of draft machine, ambient temperature, projection enlarged drawing is used projection enlarged drawing
The factor such as material, drawn projection enlarged drawing has deviation with theoretical data model, projection need to be examined with enlarged drawing
Survey.
Traditional projection component part profile tolerance in the theoretical data model mainly to design drawing in enlarged drawing detection
Each geometric element characteristic point, calculated by basic geometric relationship, will on the position of circular arc incision superius, circular arc point seat
Position relationship between mark, the coordinate of Points on Straight Line and each element, by being calculated the theoretical coordinate value of each characteristic point.Profit
Carry out pointwise collection with image detection equipment, then measurement result is compared with theoretical value, thus obtaining real data and reason
Deviation by data.One enlarged drawing of detection needs up to a hundred geometric senses to be acquired calculate, and calculating process is loaded down with trivial details, workload
Greatly, the measurement data being drawn uses department's difficult treatment, the hidden danger such as careless mistake and mistake in computation easily.
Content of the invention
The purpose of the present invention is:
Propose a kind of detection method of efficient projection enlarged drawing, by the foundation of theoretical data model, realize entirely certainly
Dynamic measurement, manual measurement mode is quick, accurately than ever.Due to its high degree of automation, decrease conventional survey calculation process
Loaded down with trivial details and careless mistake, detection process is greatly enhanced detection efficiency.
The technical scheme is that
A kind of detection method of efficient projective amplification figure, this method comprises the following steps:
1st step, the theoretical data model according to the design drawing of projection enlarged drawing, plotting equipment is in equidistant sampling site mode
Generate cartographic data model, draw out projection enlarged drawing；
2nd step, the theoretical data model according to the design drawing of projection enlarged drawing, draw out detection data model, will examine
The coordinate system surveying data model is changed, and makes the coordinate system of detection data model keep one with the coordinate system of image detection equipment
Cause；
3rd step, using image detection equipment to coordinate system conversion after detection data model entered in equidistant sampling site mode
Row measurement, obtains one group of actually detected point for the projection enlarged drawing comparing, in sampling site mode and step 1 in this step
Sampling site mode is inconsistent.
4th step, actually detected point is imported in detection data model, the figure that fit to actually detected point and detection
Data model compares, and finds out the maximum region of deviation, distinguishes qualified region and overproof region, is that quality control provides with analysis
Full and accurate foundation.
The invention has the advantage that passing through the improvement of projection enlarged drawing detection method it is achieved that enlarged drawing automatic measurement, obtain
Arrive reliable detection data, improve projection enlarged drawing detection efficiency.Due to its high degree of automation, easy to operate, can
It is widely used in all kinds of image detection systems.
Specific embodiment
The present invention is further described taking the tenon tooth figure of engine blade as a example below:
1st step, the theoretical data model according to the design drawing of tenon tooth projection enlarged drawing, plotting equipment is equidistant with 0.05mm
Sampling site mode generate cartographic data model, draw out projection enlarged drawing；
2nd step, the theoretical data model according to the design drawing of projection enlarged drawing, using cad graphics software, draw out inspection
Survey data model, the coordinate system of detection data model is changed, so that the coordinate system of detection data model and Image detection is set
Standby coordinate system is consistent；It should be ensured that the zero of detection data model and coordinate direction and image during coordinate system conversion
The zero of testing equipment is consistent with coordinate direction.
3rd step, using image detection equipment to coordinate system conversion after detection data model with the equidistant sampling site side of 10mm
Formula measures, and obtains one group of actually detected point for the projection enlarged drawing comparing.For making detection data accurately and reliably, inspection
The sampling site surveying data model sampling site distance with cartographic data model is apart from inconsistent.
4th step, actually detected point is imported in detection data model, the figure that fit to actually detected point and detection
Data model compares, and finds out the maximum region of deviation, beyond inside and outside tolerance ribbon line for not conforming to lattice point, in tolerance banding pattern
In line for qualified point.It is that quality control provides full and accurate foundation with analysis.
Using the method, projection is detected with enlarged drawing with the quick measurement it is achieved that projection enlarged drawing, defined
Image conversion detection data tupe, improves efficiency, automatization and the intelligent level of testing equipment, decreases conventional measurement
The loaded down with trivial details and careless mistake of calculating process, the data precision gets a promotion, and detection efficiency and Detection accuracy are improved, and have reached row
Industry first-class level.
Claims (1)
1. a kind of detection method of efficient projective amplification figure, is characterized in that, this method comprises the following steps:
1st step, the theoretical data model according to the design drawing of projection enlarged drawing, plotting equipment is generated in equidistant sampling site mode
Cartographic data model, draws out projection enlarged drawing；
2nd step, the theoretical data model according to the design drawing of projection enlarged drawing, draw out detection data model, will detect number
Coordinate system according to model is changed, and so that the coordinate system of detection data model is consistent with the coordinate system of image detection equipment；
3rd step, using image detection equipment to coordinate system conversion after detection data model surveyed in equidistant sampling site mode
Amount, obtains one group of actually detected point for the projection enlarged drawing comparing, the sampling site in sampling site mode and step 1 in this step
Mode is inconsistent；
4th step, actually detected point is imported in detection data model, the figure that fit to actually detected point and detection data
Model compares, and finds out the maximum region of deviation, distinguishes qualified region and overproof region, provides full and accurate for quality control and analysis
Foundation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410171874.3A CN103954215B (en) | 2014-04-25 | 2014-04-25 | Efficient projection enlarged image detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410171874.3A CN103954215B (en) | 2014-04-25 | 2014-04-25 | Efficient projection enlarged image detection method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103954215A CN103954215A (en) | 2014-07-30 |
| CN103954215B true CN103954215B (en) | 2017-02-01 |
Family
ID=51331525
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410171874.3A Active CN103954215B (en) | 2014-04-25 | 2014-04-25 | Efficient projection enlarged image detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103954215B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107144222B (en) * | 2017-06-28 | 2019-08-13 | 中国航发南方工业有限公司 | Standard enlarged drawing measurement method, measuring device and measuring system |
| CN108917548B (en) * | 2018-04-19 | 2020-05-19 | 中国航发南方工业有限公司 | Turbine blade profile detection method and measuring device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101113889A (en) * | 2007-07-24 | 2008-01-30 | 天津市天发重型水电设备制造有限公司 | Hydroturbine blade or contraprop non-contact type measurement method |
| CN101387494A (en) * | 2008-10-06 | 2009-03-18 | 天津大学 | Geometrical dimensional measurement apparatus and method for large-sized tunnel tunnel segment component |
| CN101634544A (en) * | 2009-09-02 | 2010-01-27 | 郑州辰维科技有限公司 | Water turbine blade blank profile measuring and machining allowance analyzing method |
| CN103655014A (en) * | 2013-11-26 | 2014-03-26 | 西安交通大学 | Artificial joint wear evaluation method and artificial joint wear evaluation system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI266035B (en) * | 2003-11-11 | 2006-11-11 | Hon Hai Prec Ind Co Ltd | A system and method for measuring point-cloud |
-
2014
- 2014-04-25 CN CN201410171874.3A patent/CN103954215B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101113889A (en) * | 2007-07-24 | 2008-01-30 | 天津市天发重型水电设备制造有限公司 | Hydroturbine blade or contraprop non-contact type measurement method |
| CN101387494A (en) * | 2008-10-06 | 2009-03-18 | 天津大学 | Geometrical dimensional measurement apparatus and method for large-sized tunnel tunnel segment component |
| CN101634544A (en) * | 2009-09-02 | 2010-01-27 | 郑州辰维科技有限公司 | Water turbine blade blank profile measuring and machining allowance analyzing method |
| CN103655014A (en) * | 2013-11-26 | 2014-03-26 | 西安交通大学 | Artificial joint wear evaluation method and artificial joint wear evaluation system |
Non-Patent Citations (2)
| Title |
|---|
| 基于曲面重构方法的大型叶片加工定位问题研究;严思杰等;《机床与液压》;20060331(第3期);第9-12页 * |
| 汽轮机叶片毛坯形式的选取及其加工余量的确定;赵春光等;《汽轮机技术》;20020831;第44卷(第4期);第251-252页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103954215A (en) | 2014-07-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10232566B2 (en) | Three-dimensional printer and printing accuracy detection method | |
| CN104359404A (en) | Quick visual detection method for plenty of guide holes of small sizes in airplane parts | |
| CN107588742A (en) | A kind of cylindrical gear profile bias measurement method based on line-structured light | |
| TW201514445A (en) | System and method for measuring flatness | |
| US20140168423A1 (en) | Monitoring device, monitoring system and monitoring method | |
| JP5943722B2 (en) | Defect determination apparatus, radiation imaging system, and defect determination method | |
| CN104729406A (en) | Machine vision positioning method for element surface mounting | |
| CN104359415B (en) | Measuring method and system of angular deformation for line heating and cooling | |
| CN104101296A (en) | Digital positioning detection method and system in large-scale structure precision assembly | |
| CN102798349A (en) | Three-dimensional surface extraction method based on equal-gray line search | |
| CN105424105B (en) | Dust pelletizing system is responsible for air volume detecting method and on-line measuring device | |
| CN104344795A (en) | Point cloud profile measuring system and method | |
| CN101629822A (en) | Multi-camera movable photography measuring method in vibration environment | |
| CN103486984A (en) | Detection method for coaxiality of inner molded surface of wind tunnel | |
| CN103954215B (en) | Efficient projection enlarged image detection method | |
| CN105651311B (en) | The test method of agricultural machinery working satellite navigation automatic Pilot precision | |
| CN104006786A (en) | Curved surface normal vector measurement device | |
| CN101807014A (en) | Method for measuring alignment accuracy of machine vision system | |
| CN106441147B (en) | A kind of method for building up for essence casting moving turbine blade three dimensional optical measuring benchmark | |
| CN104819690A (en) | Double-camera machine vision positioning method of surface mounted component | |
| CN203869670U (en) | Edge curved angle contour detection apparatus of flat glass | |
| CN103177392A (en) | Correlation method in steel coil length process | |
| WO2019201006A1 (en) | Welding torch all-position angle identification method and system | |
| US10132623B2 (en) | Method for measuring slant wall thickness dimension of hub | |
| CN102728658B (en) | Method for determining flexibility error in blade processing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder |
Address after: Fengcheng Weiyang District ten road 710021 Shaanxi city of Xi'an Province Patentee after: AECC AVIATION POWER CO,LTD. Address before: Fengcheng Weiyang District ten road 710021 Shaanxi city of Xi'an Province Patentee before: AVIC AVIATION ENGINE Corp.,PLC Address after: Fengcheng Weiyang District ten road 710021 Shaanxi city of Xi'an Province Patentee after: AVIC AVIATION ENGINE Corp.,PLC Address before: Fengcheng Weiyang District ten road 710021 Shaanxi city of Xi'an Province Patentee before: XI'AN AVIATION POWER Co.,Ltd. |
|
| CP01 | Change in the name or title of a patent holder |