CN103954215A - Efficient projection enlarged image detection method - Google Patents
Efficient projection enlarged image detection method Download PDFInfo
- Publication number
- CN103954215A CN103954215A CN201410171874.3A CN201410171874A CN103954215A CN 103954215 A CN103954215 A CN 103954215A CN 201410171874 A CN201410171874 A CN 201410171874A CN 103954215 A CN103954215 A CN 103954215A
- Authority
- CN
- China
- Prior art keywords
- data model
- projection
- detection
- enlarged drawing
- 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.)
- Granted
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, relate to the detection method of projection enlarged drawing is improved.
Background technology
Projection enlarged drawing is that productive unit uses, and is plotted in the examination criteria that the process certain multiple on nylon film is amplified.Projection uses enlarged drawing in drawing process, due to the precision of draught machine, and environment temperature, the factors such as the material that projection is used with enlarged drawing, drawn projection has deviation by enlarged drawing and theoretical data model, need detect with enlarged drawing projection.
Traditional projection is mainly the unique point to each geometric element of component part profile tolerance in the theoretical data model of design drawing in detecting with enlarged drawing, calculate by basic geometric relationship, by the position relationship between the coordinate of the coordinate of putting on the position of circular arc incision superius, circular arc, Points on Straight Line and each element, by calculating the theoretical coordinate value of each unique point.Utilize image detection equipment to carry out pointwise collection, then measurement result and theoretical value are compared, thereby obtain the deviation of real data and gross data.Detect an enlarged drawing and need to gather calculating to up to a hundred geometric senses, computation process is loaded down with trivial details, and workload is large, and the measurement data drawing is used department's difficult treatment, easily occurs the hidden danger such as careless mistake and miscount.
Summary of the invention
The object of the invention is:
The detection method that proposes a kind of efficient projection enlarged drawing, by the foundation of theoretical data model, realizes all automatic measurement, than manual measurement mode was quick, accurate in the past.Because its automaticity is high, reduce the loaded down with trivial details and careless mistake of in the past measuring computation process, in testing process, greatly improve detection efficiency.
Technical scheme of the present invention is:
A detection method of efficient projective amplification figure, this method comprises the following steps:
The 1st step, theoretical data model according to projection with the design drawing of enlarged drawing, plotting equipment generates cartographic data model with the equidistant point mode of adopting, and draws out projection enlarged drawing;
The 2nd step, theoretical data model according to projection with the design drawing of enlarged drawing, draw out detection data model, and the coordinate system that detects data model is changed, and makes to detect the coordinate system of data model and the coordinate system of image detection equipment is consistent;
Detection data model after the 3rd step, use image detection equipment are changed coordinate system is measured with the equidistant point mode of adopting, obtain one group of actual check point for projection enlarged drawing relatively, in this step, adopt in point mode and step 1 to adopt point mode inconsistent.
The 4th step, actual check point is imported to and detected in data model, the figure that actual check point is fitted to is compared with detecting data model, finds out the region of deviation maximum, distinguishes qualified region and overproof region, for quality control and analysis provide full and accurate foundation.
Advantage of the present invention is: use the improvement of enlarged drawing detection method by projection, realized enlarged drawing and automatically measured, obtained reliable detection data, improved projection enlarged drawing detection efficiency.Because its automaticity is high, easy to operate, can be widely used in all kinds of image detection systems.
Embodiment
Taking the tenon tooth figure of engine blade, as example, the present invention is further described below:
The 1st step, theoretical data model according to tenon tooth projection with the design drawing of enlarged drawing, plotting equipment generates cartographic data model with the equidistant point mode of adopting of 0.05mm, draws out projection enlarged drawing;
The 2nd step, theoretical data model according to projection with the design drawing of enlarged drawing, use CAD graphics software, draw out detection data model, change detecting the coordinate system of data model, make to detect the coordinate system of data model and the coordinate system of image detection equipment is consistent; In coordinate system when conversion,, the true origin that should guarantee to detect data model is consistent with true origin and the coordinate direction of image detection equipment with coordinate direction.
Detection data model after the 3rd step, use image detection equipment are changed coordinate system is measured with the equidistant point mode of adopting of 10mm, obtains one group of actual check point for projection relatively enlarged drawing.For making to detect data accurately and reliably, detect data model adopt a distance and cartographic data model to adopt a distance inconsistent.
The 4th step, actual check point is imported to and detected in data model, the figure that actual check point is fitted to is compared with detection data model, find out the region of deviation maximum, exceed inside and outside tolerance range molded line for not conforming to lattice point, is qualified point in tolerance range molded line.For quality control provides full and accurate foundation with analyzing.
Utilize the method to detect projection enlarged drawing, realize the Quick Measurement of projection enlarged drawing, form image conversion and detected data processing mode, efficiency, robotization and the intelligent level of checkout equipment are improved, reduce the loaded down with trivial details and careless mistake of in the past measuring computation process, the data precision gets a promotion, and detection efficiency and Detection accuracy are improved, and has reached industry first-class level.
Claims (1)
1. a detection method of efficient projective amplification figure, is characterized in that, this method comprises the following steps:
The 1st step, theoretical data model according to projection with the design drawing of enlarged drawing, plotting equipment generates cartographic data model with the equidistant point mode of adopting, and draws out projection enlarged drawing;
The 2nd step, theoretical data model according to projection with the design drawing of enlarged drawing, draw out detection data model, and the coordinate system that detects data model is changed, and makes to detect the coordinate system of data model and the coordinate system of image detection equipment is consistent;
Detection data model after the 3rd step, use image detection equipment are changed coordinate system is measured with the equidistant point mode of adopting, obtain one group of actual check point for projection enlarged drawing relatively, in this step, adopt in point mode and step 1 to adopt point mode inconsistent;
The 4th step, actual check point is imported to and detected in data model, the figure that actual check point is fitted to is compared with detecting data model, finds out the region of deviation maximum, distinguishes qualified region and overproof region, for quality control and analysis provide full and accurate 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 true CN103954215A (en) | 2014-07-30 |
| CN103954215B 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) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107144222A (en) * | 2017-06-28 | 2017-09-08 | 中国航发南方工业有限公司 | Standard enlarged drawing measuring method, measurement apparatus and measuring system |
| CN108917548A (en) * | 2018-04-19 | 2018-11-30 | 中国航发南方工业有限公司 | Turbo blade Surface inspection method and measuring device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050114059A1 (en) * | 2003-11-11 | 2005-05-26 | Hon Hai Precision Industry Co., Ltd. | Point cloud measuring system and method |
| 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 |
-
2014
- 2014-04-25 CN CN201410171874.3A patent/CN103954215B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050114059A1 (en) * | 2003-11-11 | 2005-05-26 | Hon Hai Precision Industry Co., Ltd. | Point cloud measuring system and method |
| 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 |
|---|
| 严思杰等: "基于曲面重构方法的大型叶片加工定位问题研究", 《机床与液压》, no. 3, 31 March 2006 (2006-03-31) * |
| 赵春光等: "汽轮机叶片毛坯形式的选取及其加工余量的确定", 《汽轮机技术》, vol. 44, no. 4, 31 August 2002 (2002-08-31) * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107144222A (en) * | 2017-06-28 | 2017-09-08 | 中国航发南方工业有限公司 | Standard enlarged drawing measuring method, measurement apparatus and measuring system |
| CN108917548A (en) * | 2018-04-19 | 2018-11-30 | 中国航发南方工业有限公司 | Turbo blade Surface inspection method and measuring device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103954215B (en) | 2017-02-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10232566B2 (en) | Three-dimensional printer and printing accuracy detection method | |
| RU2013139448A (en) | METHODS AND SYSTEMS FOR CONTROL OF PREPARATIONS | |
| EP2765386A1 (en) | Monitoring device, monitoring system and monitoring method | |
| CN104359404A (en) | Quick visual detection method for plenty of guide holes of small sizes in airplane parts | |
| CN104101296A (en) | Digital positioning detection method and system in large-scale structure precision assembly | |
| CN104457577A (en) | Machine-vision-oriented non-contact type workpiece positioning and measuring method | |
| CN104729406A (en) | Machine vision positioning method for element surface mounting | |
| CN104344795A (en) | Point cloud profile measuring system and method | |
| CN107504917B (en) | Three-dimensional size measuring method and device | |
| CN102798349A (en) | Three-dimensional surface extraction method based on equal-gray line search | |
| JP2013253905A (en) | Defect determination device, radiation imaging system, and defect determination method | |
| CN101629822A (en) | Multi-camera movable photography measuring method in vibration environment | |
| CN104679487A (en) | Rotating table precision compensation system and method | |
| CN103954215A (en) | Efficient projection enlarged image detection method | |
| CN104819690A (en) | Double-camera machine vision positioning method of surface mounted component | |
| CN203869670U (en) | Edge curved angle contour detection apparatus of flat glass | |
| CN103592079A (en) | Large-size large-tonnage cylindrical or column-shaped workpiece axial mass center measuring instrument | |
| CN203606075U (en) | Axial centroid measuring instrument for large-size large-tonnage cylindraceous or cylindrical workpiece | |
| CN206235284U (en) | A kind of dedicated slot model | |
| CN105136819A (en) | Method for detecting appearance contour of air conditioner | |
| CN104217079A (en) | Method for measuring axial fan of wind driven generator by reversing technology | |
| US10132623B2 (en) | Method for measuring slant wall thickness dimension of hub | |
| WO2022237375A1 (en) | Positioning apparatus calibration method, odometer calibration method, program product, and calibration apparatus | |
| CN103134460A (en) | Detecting method for detecting verticality of side wall of hole and end face of hole | |
| CN105094105A (en) | Testing method of blower fan state measurement and control system |
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 | ||
| 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. |