CN105068139A - Detection technology for mounting condition of piston cooling nozzle - Google Patents
Detection technology for mounting condition of piston cooling nozzle Download PDFInfo
- Publication number
- CN105068139A CN105068139A CN201510523595.3A CN201510523595A CN105068139A CN 105068139 A CN105068139 A CN 105068139A CN 201510523595 A CN201510523595 A CN 201510523595A CN 105068139 A CN105068139 A CN 105068139A
- Authority
- CN
- China
- Prior art keywords
- piston cooling
- cooling nozzle
- vision
- circle
- engine
- 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
Abstract
The invention discloses a detection technology for mounting condition of a piston cooling nozzle. When an engine is placed in position, a camera is driven to a set position by a robot for photographing the piston cooling nozzle installed inside a cylinder body of the engine, and a picture is recognized via vision software and is compared with preset data, so as to detect whether the mounting condition of the piston cooling nozzle is qualified. The detection technology adopts the vision detection technology, ensures detection precision and accuracy of detection results, cancels manual detection, reduces labor cost, optimizes the detection process, omits operations such as crankshaft rotation, increases detection efficiency, adopts the robot as an executing mechanism of the camera, is high in flexibility, and is suitable for detecting mounting condition of the piston cooling nozzles of engines of various types and various structures.
Description
Technical field
The invention belongs to engine assembly technical field, particularly relate to a kind of characterization processes of piston cooling nozzle installment state.
Background technology
Piston cooling nozzle is mounted in parts in engine cylinder block, for cooling piston.Usually the piston cooling nozzle installed relies on hand inspection.The installment state of artificial visually examine's piston cooling nozzle, the shortcoming of main existence three aspect: one is that piston cooling nozzle is in cylinder block inside, manual detection error is larger, and easily produce visual fatigue, can not guarantee that piston does not collide with piston cooling nozzle in operational process, there is the risk that the parts such as piston and piston cooling nozzle break; Two is that manual detection cost is higher; Three is need to carry out the operations such as rotary crankshaft, and efficiency is lower.And piston cooling nozzle is once neglected loading, piston will be caused to cool bad, very easily cause scuffing of cylinder bore.And if such problem is just found in test run link, larger rework cost will be caused.Therefore, the installation quality of piston cooling nozzle is detected in the urgent need to a kind of effective means.
Summary of the invention
The object of the invention is the deficiency solving the existence of manual detection piston cooling nozzle installment state.Full-automatic by equipment, high-precision detection, guarantees the correctness of testing result; By cancelling operator or checker's detection, reduce cost of labor; By optimum detection flow process, improve detection efficiency.
The present invention for achieving the above object, adopts following technical scheme:
A characterization processes for piston cooling nozzle installment state, is characterized in that comprising the steps:
A. engine enters into line body running position and stops;
B.RFID label or scanner provide engine model signal and are transferred to PLC;
C. according to the engine model that step b obtains, setting robot motion track program;
D.PLC process engine model signal also triggers the track program that corresponding type is walked by robot;
E. robot drive camera is gone to corresponding position and is triggered camera and takes pictures, and obtains engine cylinder block intra pictures;
F. vision procedure identification engine cylinder block intra pictures, converts the image-element that vision program can identify to by piston cooling nozzle installment state;
G. the cylinder block internal image key element of the image-element that identified by step f of vision program and storage compares, and whether automatic decision is qualified; If qualified, robot drives camera to continue to walk next position and takes pictures; If defective, then defective position recorded and store, then carrying out next position and take pictures;
H. all positions take pictures after robot reset;
I. generate testing result, man-machine interface carries out testing result prompting automatically; If qualified, directly enter next step; If defective, then carry out installment state confirmation or adjustment, till qualified;
J. complete detection, line body starts, and engine flows away;
K.a ~ j step cycle.
It is further characterized in that: recognition image key element and judge that qualified concrete steps are in described step f, g:
F1. main bearing hole A unique point is fitted to a circle by vision routine call vision aid, and determines the relative position of the center of circle in whole picture, then sets up coordinate system using the center of circle as initial point;
F2. main bearing hole B unique point is fitted to a circle by vision routine call vision aid, and obtains central coordinate of circle, then sets up two main bearing hole line of centres straight lines 1;
F3. highlighted for piston cooling nozzle shaft Partial Feature point is fitted to straight line by vision routine call vision aid, forms straight line 2;
F4. the angle theta that intersects to form of calculated line 1 and straight line 2;
F5. piston cooling nozzle head edge unique point is fitted to a circle by vision routine call vision aid, and obtains center of circle O coordinate;
F6. the vertical range h of center of circle O to straight line 1 is calculated;
F7. angle theta, distance h and setting range are compared, determine the correctness that piston cooling nozzle is installed.
Further: in described step e, camera is taken pictures, thrown light on by secondary light source when obtaining engine interior picture.
In described step f6, the calculating of vertical range is multiplied by resolution by the center of circle O that finds in picture to the pixel value of straight line 1 and is obtained.
Described engine has six cylinders, and each cylinder is provided with a piston cooling nozzle.
The present invention has following beneficial effect:
1. adopt vision detection technology, guarantee accuracy of detection, guarantee the correctness of testing result;
2. cancel manual detection, reduce cost of labor;
3. optimum detection flow process, cancels the operations such as rotary crankshaft, improves detection efficiency;
4. adopt robot as the topworks of camera, flexible high, adapt to the detection of multi items many structure engines piston cooling nozzle installment state.
Accompanying drawing explanation
Fig. 1 is Cleaning Principle schematic diagram of the present invention.
Fig. 2 is the inventive method process flow diagram.
Embodiment
A characterization processes for piston cooling nozzle installment state, is characterized in that this characterization processes comprises the following steps:
A. engine enters into line body running position and stops;
B.RFID label or scanner provide engine model signal and are transferred to PLC;
C. according to the engine model that step b obtains, robot trajectory's program of setting engine model;
D.PLC process engine model signal also triggers the track program that corresponding type is walked by robot;
E. robot drive camera is gone to corresponding position and is triggered camera and takes pictures, and adopts camera lens, light source etc. to assist, to obtain suitable engine cylinder block intra pictures when camera is taken pictures;
F. main bearing hole A unique point is fitted to a circle by vision routine call vision aid, and determines the relative position of the center of circle in whole picture, then sets up coordinate system using the center of circle as initial point;
G. main bearing hole B unique point is fitted to a circle by vision routine call vision aid, and obtains central coordinate of circle, then sets up two main bearing hole line of centres straight lines 1;
H. highlighted for piston cooling nozzle shaft Partial Feature point is fitted to straight line by vision routine call vision aid, forms straight line 2;
I. the angle theta that intersects to form of calculated line 1 and straight line 2;
J. piston cooling nozzle head edge unique point is fitted to a circle by vision routine call vision aid, and obtains center of circle O coordinate;
K. the vertical range h of resolution acquisition center of circle O to straight line 1 is multiplied by by the center of circle O that finds in picture to the pixel value of straight line 1;
L. angle theta, distance h and setting range are compared, it is qualified that the two is all considered as in scope; If qualified, robot continues to walk next position and takes pictures; If defective, then defective position recorded and store, then carrying out next position and take pictures;
M. all positions take pictures after robot reset;
N. generate testing result, man-machine interface carries out testing result prompting automatically; If qualified, directly enter next step; If defective, then carry out installment state confirmation or adjustment, till qualified;
O. complete detection, line body starts, and engine flows away;
A ~ o step cycle.
Claims (5)
1. a characterization processes for piston cooling nozzle installment state, is characterized in that comprising the steps:
A. engine enters into line body running position and stops;
B.RFID label or scanner provide engine model signal and are transferred to PLC;
C. according to the engine model that step b obtains, setting robot motion track program;
D.PLC process engine model signal also triggers the track program that corresponding type is walked by robot;
E. robot drive camera is gone to corresponding position and is triggered camera and takes pictures, and obtains engine cylinder block intra pictures;
F. vision procedure identification engine cylinder block intra pictures, converts the image-element that vision program can identify to by piston cooling nozzle installment state;
G. the cylinder block internal image key element of the image-element that identified by step f of vision program and storage compares, and whether automatic decision is qualified; If qualified, robot drives camera to continue to walk next position and takes pictures; If defective, then defective position recorded and store, then carrying out next position and take pictures;
H. all positions take pictures after robot reset;
I. generate testing result, man-machine interface carries out testing result prompting automatically; If qualified, directly enter next step; If defective, then carry out installment state confirmation or adjustment, till qualified;
J. complete detection, line body starts, and engine flows away;
K.a ~ j step cycle.
2. the characterization processes of piston cooling nozzle installment state according to claim 1, is characterized in that: recognition image key element and judge that whether qualified concrete steps are in described step f, g:
F1. main bearing hole A unique point is fitted to a circle by vision routine call vision aid, and determines the relative position of the center of circle in whole picture, then sets up coordinate system using the center of circle as initial point;
F2. main bearing hole B unique point is fitted to a circle by vision routine call vision aid, and obtains central coordinate of circle, then sets up two main bearing hole line of centres straight lines 1;
F3. highlighted for piston cooling nozzle shaft Partial Feature point is fitted to straight line by vision routine call vision aid, forms straight line 2;
F4. the angle theta that intersects to form of calculated line 1 and straight line 2;
F5. piston cooling nozzle head edge unique point is fitted to a circle by vision routine call vision aid, and obtains center of circle O coordinate;
F6. the vertical range h of center of circle O to straight line 1 is calculated;
F7. angle theta, distance h and setting range are compared, determine the correctness that piston cooling nozzle is installed.
3. the characterization processes of piston cooling nozzle installment state according to claim 1, is characterized in that: in described step e, camera is taken pictures, and is thrown light on when obtaining engine interior picture by secondary light source.
4. the characterization processes of piston cooling nozzle installment state according to claim 2, is characterized in that: in described step f6, the calculating of vertical range is multiplied by resolution by the center of circle O that finds in picture to the pixel value of straight line 1 and is obtained.
5. the characterization processes of the piston cooling nozzle installment state according to any one of claim 1 ~ 4, is characterized in that: described engine has six cylinders, and each cylinder is provided with a piston cooling nozzle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510523595.3A CN105068139B (en) | 2015-08-24 | 2015-08-24 | A kind of characterization processes of piston cooling nozzle installment state |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510523595.3A CN105068139B (en) | 2015-08-24 | 2015-08-24 | A kind of characterization processes of piston cooling nozzle installment state |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105068139A true CN105068139A (en) | 2015-11-18 |
| CN105068139B CN105068139B (en) | 2017-11-14 |
Family
ID=54497554
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510523595.3A Active CN105068139B (en) | 2015-08-24 | 2015-08-24 | A kind of characterization processes of piston cooling nozzle installment state |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105068139B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106770343A (en) * | 2017-03-28 | 2017-05-31 | 慧眼自动化科技（广州）有限公司 | Gluing Product Visual detecting system and detection method |
| CN108303012A (en) * | 2018-02-02 | 2018-07-20 | 河北华北柴油机有限责任公司 | A kind of engine cooling spray nozzle cubing |
| CN113049600A (en) * | 2021-03-31 | 2021-06-29 | 上汽通用五菱汽车股份有限公司 | Engine part wrong and neglected loading detection method and system based on visual detection |
| CN113567450A (en) * | 2021-07-20 | 2021-10-29 | 上汽通用五菱汽车股份有限公司 | Engine label information visual detection system and method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1719236A (en) * | 2005-08-02 | 2006-01-11 | 湖南大学 | Multivision hollow bottle quality detection method and multi vision hollow bottle detection robot |
| CN102955476A (en) * | 2012-11-12 | 2013-03-06 | 宁波韵升股份有限公司 | Automatic guided vehicle (AGV) path planning method based on radio frequency identification (RFID) technology |
| CN203204923U (en) * | 2013-03-14 | 2013-09-18 | 浙江天煌科技实业有限公司 | Industrial robot, intelligent vision and RFID data transmission teaching training system |
| US20140132956A1 (en) * | 2011-07-22 | 2014-05-15 | Sanyo Electric Co., Ltd. | Object detecting device and information acquiring device |
| CN204241383U (en) * | 2014-08-19 | 2015-04-01 | 广州伊索自动化科技有限公司 | A kind of automobile web member detection system based on machine vision |
-
2015
- 2015-08-24 CN CN201510523595.3A patent/CN105068139B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1719236A (en) * | 2005-08-02 | 2006-01-11 | 湖南大学 | Multivision hollow bottle quality detection method and multi vision hollow bottle detection robot |
| US20140132956A1 (en) * | 2011-07-22 | 2014-05-15 | Sanyo Electric Co., Ltd. | Object detecting device and information acquiring device |
| CN102955476A (en) * | 2012-11-12 | 2013-03-06 | 宁波韵升股份有限公司 | Automatic guided vehicle (AGV) path planning method based on radio frequency identification (RFID) technology |
| CN203204923U (en) * | 2013-03-14 | 2013-09-18 | 浙江天煌科技实业有限公司 | Industrial robot, intelligent vision and RFID data transmission teaching training system |
| CN204241383U (en) * | 2014-08-19 | 2015-04-01 | 广州伊索自动化科技有限公司 | A kind of automobile web member detection system based on machine vision |
Non-Patent Citations (1)
| Title |
|---|
| 韩建海: "《工业机器人 第三版》", 31 July 2015, 华中科技大学出版社 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106770343A (en) * | 2017-03-28 | 2017-05-31 | 慧眼自动化科技（广州）有限公司 | Gluing Product Visual detecting system and detection method |
| CN108303012A (en) * | 2018-02-02 | 2018-07-20 | 河北华北柴油机有限责任公司 | A kind of engine cooling spray nozzle cubing |
| CN113049600A (en) * | 2021-03-31 | 2021-06-29 | 上汽通用五菱汽车股份有限公司 | Engine part wrong and neglected loading detection method and system based on visual detection |
| CN113567450A (en) * | 2021-07-20 | 2021-10-29 | 上汽通用五菱汽车股份有限公司 | Engine label information visual detection system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105068139B (en) | 2017-11-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100485371C (en) | Automatic online detection method for defects on upper and lower surfaces during steel plate pretreatment process | |
| CN105068139A (en) | Detection technology for mounting condition of piston cooling nozzle | |
| JP6484695B1 (en) | Ship block joint welding defect marking method | |
| WO2017080282A1 (en) | Circuit board inspection method and apparatus | |
| US10875592B2 (en) | Automobile manufacturing plant and method | |
| CN103192414A (en) | Robot anti-collision protection device and method based on machine vision | |
| CN106851218B (en) | Video monitoring device and method for running state of wave generator | |
| CN113269762A (en) | Screen defect detection method, system and computer storage medium | |
| CN114720475A (en) | Intelligent detection and polishing system and method for automobile body paint surface defects | |
| JP2010025855A (en) | Track displacement measuring device | |
| CN204924181U (en) | Engine main shaft tile assembly quality check out test set | |
| CN108506710B (en) | Sintering machine trolley wheel greasing track control method and control system | |
| CN208092793U (en) | The detection platform of enamel coating defect | |
| CN111208146B (en) | Tunnel cable detection system and detection method | |
| Liu et al. | An approach for auto bridge inspection based on climbing robot | |
| CN205537507U (en) | Collection truck planker positioner based on machine vision technique | |
| CN113160162B (en) | Hole recognition method and device applied to workpiece and hole processing equipment | |
| CN112058559B (en) | Coating robot and vehicle body coating method | |
| JP5566516B2 (en) | Orbital displacement measuring device | |
| CN111103306A (en) | Method for detecting and marking defects | |
| KR101890765B1 (en) | Apparatus and Method for Diagnosing PCB using PIN Detection based on Vision System | |
| CN215052081U (en) | Bridge inspection vehicle | |
| CN101377576A (en) | Method for accurately positioning flaw point of liquid crystal panel | |
| CN114735044A (en) | Intelligent railway vehicle inspection robot | |
| CN112171657A (en) | Monocular vision-based large-size cuboid component grabbing device and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |