[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN202087540U - Online detector of copper piece appearance defects based on machine vision - Google Patents

Online detector of copper piece appearance defects based on machine vision Download PDF

Info

Publication number
CN202087540U
CN202087540U CN2011201599623U CN201120159962U CN202087540U CN 202087540 U CN202087540 U CN 202087540U CN 2011201599623 U CN2011201599623 U CN 2011201599623U CN 201120159962 U CN201120159962 U CN 201120159962U CN 202087540 U CN202087540 U CN 202087540U
Authority
CN
China
Prior art keywords
looking
control module
machine vision
photoelectric sensor
light source
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.)
Expired - Fee Related
Application number
CN2011201599623U
Other languages
Chinese (zh)
Inventor
倪忠良
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
HANGZHOU HUAFENG COMMUNICATE EQUIPMENT Co Ltd
Original Assignee
HANGZHOU HUAFENG COMMUNICATE EQUIPMENT Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by HANGZHOU HUAFENG COMMUNICATE EQUIPMENT Co Ltd filed Critical HANGZHOU HUAFENG COMMUNICATE EQUIPMENT Co Ltd
Priority to CN2011201599623U priority Critical patent/CN202087540U/en
Application granted granted Critical
Publication of CN202087540U publication Critical patent/CN202087540U/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Landscapes

  • Sorting Of Articles (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The utility model relates to an online detector of copper piece appearance defects based on machine vision, which is capable of conducting online detection and comprises a control unit. A feeding mechanism is arranged above a delivery mechanism, an outlet of a feeding guide rail of the feeding mechanism right aligns at a delivery belt in a delivery mechanism, and a lateral visual detection station I, a lateral visual detection station II, an upper visual detection station III and a selection mechanism are arranged on a working platform of the delivery mechanism sequentially from left to right at intervals. The detector has the advantages of replacing human eyes with a machine to conduct automatic detection of the copper piece appearance defects, greatly improving detection quality and efficiency and bringing good economic benefits to copper piece production manufactures.

Description

A kind of copper spare open defect on-line detector based on machine vision
Technical field
The utility model relates to a kind of a kind of copper spare open defect on-line detector based on machine vision that can online detection, belongs to detector and makes the field.
Background technology
Along with the fast development of Chinese national economy, the raising of manufacturing industry level and the expansion of scale, copper spare is as the parts a kind of commonly used of mechanical manufacturing field, and output is increasing, and is also more and more higher to the requirement of quality.According to the difference of production technology, can there be some open defects (mainly comprise and collapse damage, crackle and end face wound etc.) in copper spare, so need to carry out the detection of open defect before dispatching from the factory.At present, open defect detects is mainly undertaken by artificial mode, and quality inspection personnel detects copper spare end face and lateral surface one by one by the mode of naked eyes, by hand non-defective unit and defective products is sorted one by one.Because there is the fatigue factor of subjective judgement error and eye in the people, so the mode of manual detection exists quality instability, not easy to identify, the low inferior problem of detection efficiency of part defective of detecting.
The utility model content
Purpose of design: avoid the weak point in the background technology, design a kind of online a kind of copper spare open defect on-line detector that copper spare open defect is detected and sorts automatically based on machine vision.
Design: in order to realize above-mentioned purpose of design.The utility model provides a kind of copper spare open defect on-line detector based on machine vision, comprise: the copper spare open defect on-line detector based on machine vision of the present utility model, be based on electromechanical integration, machine vision technique and automatic control technology and design, its self-feeding, open defect that can realize copper spare detects and letter sorting.Feed mechanism is delivered to connecting gear with copper spare to be measured, connecting gear is responsible for copper spare to be measured is sent to and is respectively detected station and carry out IMAQ and open defect and detect, control module is correspondingly controlled mechanism for sorting according to above-mentioned testing result, thereby non-defective unit is distinguished mutually with defective products.
Technical scheme: a kind of copper spare open defect on-line detector based on machine vision, it comprises control module, feed mechanism is arranged in connecting gear top and the outlet of feed mechanism feeding guide directly to the conveyer belt of connecting gear, side-looking inspection station I, side-looking inspection station II, go up inspection station III and mechanism for sorting from left to right successively spacing be located on the workbench of connecting gear.
The utility model is compared with background technology, can detect with the automation that machine replaces human eye to carry out copper spare open defect, has improved detection quality and efficient greatly, for copper spare production firm has brought good economic benefit.
Description of drawings
Fig. 1 is based on the structural representation of the copper spare open defect on-line detector of machine vision;
Among Fig. 1: feeding vibrating disk 1, conveyer belt 2, workbench 3, photoelectric sensor 4, photoelectric sensor 5, photoelectric sensor 6, letter sorting valve 7, non-defective unit outlet 8, defective products outlet 9, side-looking phase-detecting machine 10, side-looking inspection light source 11, side-looking phase-detecting machine 12, side-looking inspection light source 13, last inspection camera 14, last inspection light source 15, feeding guide 16.
Fig. 2 is the annexation schematic diagram of control module among Fig. 1.
The specific embodiment
Embodiment 1: with reference to attached Fig. 1 and 2.A kind of copper spare open defect on-line detector based on machine vision, it comprises control module, feed mechanism is arranged in connecting gear top and 16 outlets of feed mechanism feeding guide directly to the conveyer belt 2 of connecting gear, side-looking inspection station I, side-looking inspection station II, go up inspection station III and mechanism for sorting from left to right successively spacing be located on the workbench 3 of connecting gear.
Described feed mechanism comprises that interconnected feeding vibrating disk 1 and feeding guide 16 constitute.
Described connecting gear comprises workbench 3 and be provided with conveyer belt 2, non-defective unit slide rail 8 and defective products slide rail 9 on workbench 3, be that connecting gear comprises workbench 3, the conveyer belt 2 that is fixedly linked on workbench 3, non-defective unit slide rail 8 and defective products slide rail 9, the transport tape surface of realizing conveyer belt 2 is with respect to workbench 3 rectilinear motion from left to right.The left end of the corresponding conveyer belt 2 of the outlet of feeding guide 16, in particular, feeding guide 16 is perpendicular to conveyer belt 2, and aligns with the left end porch of conveyer belt 2; Non-defective unit slide rail 8 is positioned at the right-hand member of conveyer belt 2; Defective products slide rail 9 is positioned at the rear position of the close right-hand member of conveyer belt 2.
Described side-looking inspection station I comprises side-looking phase-detecting machine 10, side-looking inspection light source 11 and the photoelectric sensor 4 that is arranged on workbench 3; Be that side-looking inspection station I is included in side-looking phase-detecting machine 10, side-looking inspection light source 11 and the photoelectric sensor 4 that horizontal direction extremely before sets gradually from the back, this side-looking phase-detecting machine 10, side-looking inspection light source 11 and photoelectric sensor 4 all are fixedly linked with workbench 3.
Described side-looking inspection station II comprises side-looking phase-detecting machine 12, side-looking inspection light source 13 and the photoelectric sensor 5 that is arranged on workbench 3, be that side-looking inspection station II is included in side-looking phase-detecting machine 12, side-looking inspection light source 13 and the photoelectric sensor 5 that horizontal direction sets gradually from front to back, this side-looking phase-detecting machine 12, side-looking inspection light source 13 and photoelectric sensor 5 all are fixedly linked with workbench 3.
Described last inspection station III comprises the last inspection camera 14 that is arranged on workbench 3, last inspection light source 15 and photoelectric sensor 6; Promptly go up inspection station III and be included in last inspection camera 14 and the last inspection light source 15 that vertical direction sets gradually from top to bottom, and being positioned at the photoelectric sensor 5 that inspection camera 14 rears are provided with, inspection camera 14, last inspection light source 15 and photoelectric sensor 6 all are fixedly linked with workbench 3 on this.
Side-looking inspection station one, side-looking inspection station two and last inspection station three are along from left to right uniformly-spaced discharging of conveyer belt 2, the height of photoelectric sensor 4, photoelectric sensor 5 and photoelectric sensor 6 and the upper surface flush of conveyer belt 2.
Described mechanism for sorting is letter sorting valve 7, and promptly mechanism for sorting comprises the letter sorting valve 7 that is fixedly linked with workbench 3.Letter sorting valve 7 is positioned at the dead ahead of defective products slide rail 9.
Described control module respectively with conveyer belt 2, side-looking phase-detecting machine 10, side-looking inspection light source 11, photoelectric sensor 4, side-looking phase-detecting machine 12, side-looking inspection light source 13, photoelectric sensor 5, go up inspection camera 14, go up inspection light source 15, photoelectric sensor 6 and letter sorting valve 7 signals link to each other.
Described control module comprises transport tape control module 51, go-no-go valve control module 52, sensor control module 53, database 54, central processing unit 55, image processing module 56 and the transport module 58 that links to each other with power module 57 respectively; Power module 57 is responsible for providing power supply, and clear for drawing, above-mentioned annexation has been done omission in Fig. 2.Described central processing unit 55 links to each other with transport module 58 with transport tape control module 51, go-no-go valve control module 52, sensor control module 53, database 54, image processing module 56 respectively; Described transport tape control module 51 links to each other with conveyer belt 2 signals, go-no-go valve control module 52 links to each other with letter sorting valve 7 signals, sensor control module 53 links to each other with photoelectric sensor 4, photoelectric sensor 5 and photoelectric sensor 6 signals respectively, and transport module 58 is respectively with side-looking phase-detecting machine 10, side-looking inspection light source 11, side-looking phase-detecting machine 12, side-looking inspection light source 13, upward inspection camera 14 links to each other with last inspection light source 15 signals.
Its course of work is as follows:
Feeding vibrating disk 1 is sequentially sent into feeding guide 16 according to appointment towards having with the copper spare to be measured of mode in will coiling of vibration; Feeding guide 16 transmits copper spare to be measured in the mode of vibration to connecting gear.After conveyer belt 2 receives copper spare to be measured, copper spare to be measured from left to right is transported to successively respectively detects station, the left end with conveyer belt 2 is an original position below, is elaborated:
1), after the photoelectric sensor 4 of side-looking inspection station one detects copper spare to be measured, photoelectric sensor 4 is passed to central processing unit 55 with above-mentioned information, central processing unit 55 control side-lookings inspection light sources 11 are opened, and control side-looking phase-detecting machine 10 simultaneously and carry out IMAQ; After IMAQ was finished, central processing unit 55 control side-looking inspection light sources 11 were closed, and the image that this station collects is passed to central processing unit 55 by transport module 57.
2), after the photoelectric sensor 5 of side-looking inspection station two detects copper spare to be measured, photoelectric sensor 5 is passed to central processing unit 55 with above-mentioned information, central processing unit 55 control side-lookings inspection light sources 13 are opened, and control side-looking phase-detecting machine 12 simultaneously and carry out IMAQ; After IMAQ was finished, central processing unit 55 control side-looking inspection light sources 13 were closed, and the image that this station collects is passed to central processing unit 55 by transport module 57.
3) after, upward the photoelectric sensor 6 of inspection station three detected copper spare to be measured, photoelectric sensor 6 was passed to central processing unit 55 with above-mentioned information, and central processing unit 55 control side-lookings inspection light sources 15 are opened, and control side-looking phase-detecting machine 14 simultaneously and carry out IMAQ; After IMAQ was finished, central processing unit 55 control side-looking inspection light sources 15 were closed, and the image that this station collects is passed to central processing unit 55 by transport module 57.
4), central processing unit 55 will receive three width of cloth images and be delivered to image processing module 56 together and carry out analyzing and processing, the analyzing and processing content comprises disappear impurity point interference, workpiece location, Region Segmentation and defect profile analysis, thereby analyze the characteristic information (area, length and width etc.) of defect area, central processing unit 55 compares preset threshold in these processing data and the database 54, thereby judges that this copper spare to be measured is certified products or defective work.Central processing unit 55 sends different order by go-no-go valve control module 52 to letter sorting valve 7 according to different judged results.When being judged as certified products, letter sorting valve 7 is not blown, and copper spare to be measured is skidded off along non-defective unit slide rail 8; When being judged as defective work, letter sorting valve 7 is blown, and copper spare to be measured is skidded off along defective products slide rail 9.
What need understand is: though the foregoing description is to the mentality of designing of the present utility model detailed text description of contrasting; but these text descriptions; just the simple text of the utility model mentality of designing is described; rather than to the restriction of the utility model mentality of designing; any combination, increase or modification that does not exceed the utility model mentality of designing all falls in the protection domain of the present utility model.

Claims (9)

1. copper spare open defect on-line detector based on machine vision, it comprises control module, it is characterized in that: feed mechanism is arranged in connecting gear top and the outlet of feed mechanism feeding guide directly to the conveyer belt of connecting gear, side-looking inspection station I, side-looking inspection station II, go up inspection station III and mechanism for sorting from left to right successively spacing be located on the workbench of connecting gear.
2. the copper spare open defect on-line detector based on machine vision according to claim 1 is characterized in that: described feed mechanism comprises that interconnected feeding vibrating disk and feeding guide constitute.
3. the copper spare open defect on-line detector based on machine vision according to claim 1 is characterized in that: described connecting gear comprises workbench and be provided with conveyer belt, non-defective unit slide rail and defective products slide rail on workbench.
4. the copper spare open defect on-line detector based on machine vision according to claim 1 is characterized in that: described side-looking inspection station I comprises side-looking phase-detecting machine, side-looking inspection light source and the photoelectric sensor that is arranged on workbench.
5. the copper spare open defect on-line detector based on machine vision according to claim 1 is characterized in that: described side-looking inspection station II comprises side-looking phase-detecting machine, side-looking inspection light source and the photoelectric sensor that is arranged on workbench.
6. the copper spare open defect on-line detector based on machine vision according to claim 1 is characterized in that: described last inspection station III comprises the last inspection camera that is arranged on workbench, last inspection light source and photoelectric sensor.
7. the copper spare open defect on-line detector based on machine vision according to claim 1 is characterized in that: described mechanism for sorting is the letter sorting valve.
8. the copper spare open defect on-line detector based on machine vision according to claim 1 is characterized in that: described control module is respectively with conveyer belt, side-looking phase-detecting machine, side-looking inspection light source, photoelectric sensor, side-looking phase-detecting machine, side-looking inspection light source, photoelectric sensor, last inspection camera, upward inspection light source, photoelectric sensor link to each other with letter sorting valve signal.
9. the copper spare open defect on-line detector based on machine vision according to claim 1 is characterized in that: described control module comprises transport tape control module, go-no-go valve control module, sensor control module, database, central processing unit, image processing module and the transport module that links to each other with power module respectively; Described central processing unit links to each other with transport module with transport tape control module, go-no-go valve control module, sensor control module, database, image processing module respectively; Described transport tape control module links to each other with the conveyer belt signal, go-no-go valve control module links to each other with letter sorting valve signal, the sensor control module links to each other with photoelectric sensor, photoelectric sensor and photo-sensor signal will respectively, and transport module is respectively with side-looking phase-detecting machine, side-looking inspection light source, side-looking phase-detecting machine, side-looking inspection light source, upward the inspection camera links to each other with last inspection light signal.
CN2011201599623U 2011-05-19 2011-05-19 Online detector of copper piece appearance defects based on machine vision Expired - Fee Related CN202087540U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2011201599623U CN202087540U (en) 2011-05-19 2011-05-19 Online detector of copper piece appearance defects based on machine vision

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2011201599623U CN202087540U (en) 2011-05-19 2011-05-19 Online detector of copper piece appearance defects based on machine vision

Publications (1)

Publication Number Publication Date
CN202087540U true CN202087540U (en) 2011-12-28

Family

ID=45362641

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2011201599623U Expired - Fee Related CN202087540U (en) 2011-05-19 2011-05-19 Online detector of copper piece appearance defects based on machine vision

Country Status (1)

Country Link
CN (1) CN202087540U (en)

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102909182A (en) * 2012-11-20 2013-02-06 无锡威孚精密机械制造有限责任公司 Automatic spring aligning device
CN103198554A (en) * 2013-02-06 2013-07-10 江苏科思机电工程有限公司 Side edge detecting system of pie-shaped object
CN103207185A (en) * 2012-01-11 2013-07-17 宝山钢铁股份有限公司 Steel coil end portion quality detection system and method thereof
CN104646993A (en) * 2015-02-09 2015-05-27 杭州自动化技术研究院有限公司 Clamp pile automatic charging and quality detection device
CN105044122A (en) * 2015-08-25 2015-11-11 安徽工业大学 Copper part surface defect visual inspection system and inspection method based on semi-supervised learning model
CN105044114A (en) * 2015-04-27 2015-11-11 中国人民解放军理工大学 Electrolytic capacitor appearance package defect image detection system and electrolytic capacitor appearance package defect image detection method
CN105665290A (en) * 2016-04-14 2016-06-15 东莞天龙阿克达电子有限公司 Automatic detecting machine for fan protecting ring
CN106645151A (en) * 2016-12-08 2017-05-10 苏州德创测控科技有限公司 Gluing detection device for screws
CN106645175A (en) * 2016-12-28 2017-05-10 重庆远创光电科技有限公司 Automatic, online and visual detection system for missing of copper sheets
CN106670116A (en) * 2017-01-24 2017-05-17 杭州电子科技大学 Magnetic material detecting and sorting device
CN106706648A (en) * 2016-12-28 2017-05-24 重庆远创光电科技有限公司 Automatic online visual detection system for material shortage of copper bush
CN106733725A (en) * 2016-12-13 2017-05-31 上海威克鲍尔通信科技有限公司 A kind of device of visual inspection connector outward appearance
CN107030026A (en) * 2017-05-17 2017-08-11 鹏南科技(厦门)有限公司 A kind of semiconductor refrigerating crystal grain automatic fraction collector
CN107030016A (en) * 2017-03-29 2017-08-11 嘉善永金金属制品有限公司 A kind of casting visual detection equipment
CN107515226A (en) * 2017-09-22 2017-12-26 苏州天键衡电子信息科技有限公司 A kind of method of work of the image measuring device of product automatic detection sorting
CN109859193A (en) * 2019-02-01 2019-06-07 东莞中科蓝海智能视觉科技有限公司 Part defect and circular arc Thickness sensitivity recognition methods
CN110022997A (en) * 2016-09-30 2019-07-16 戴比尔斯英国有限公司 For sorting the device and method of jewel
CN110340035A (en) * 2019-07-13 2019-10-18 中国热带农业科学院农产品加工研究所 A kind of cashew nut sorting equipment and method

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103207185A (en) * 2012-01-11 2013-07-17 宝山钢铁股份有限公司 Steel coil end portion quality detection system and method thereof
CN102909182A (en) * 2012-11-20 2013-02-06 无锡威孚精密机械制造有限责任公司 Automatic spring aligning device
CN103198554A (en) * 2013-02-06 2013-07-10 江苏科思机电工程有限公司 Side edge detecting system of pie-shaped object
CN104646993A (en) * 2015-02-09 2015-05-27 杭州自动化技术研究院有限公司 Clamp pile automatic charging and quality detection device
CN105044114B (en) * 2015-04-27 2018-08-10 中国人民解放军理工大学 A kind of electrolytic capacitor appearance packaging defect image detecting system and method
CN105044114A (en) * 2015-04-27 2015-11-11 中国人民解放军理工大学 Electrolytic capacitor appearance package defect image detection system and electrolytic capacitor appearance package defect image detection method
CN105044122A (en) * 2015-08-25 2015-11-11 安徽工业大学 Copper part surface defect visual inspection system and inspection method based on semi-supervised learning model
CN105044122B (en) * 2015-08-25 2019-01-22 安徽工业大学 A kind of copper piece surface defect visible detection method based on semi-supervised learning model
CN105665290A (en) * 2016-04-14 2016-06-15 东莞天龙阿克达电子有限公司 Automatic detecting machine for fan protecting ring
CN110022997A (en) * 2016-09-30 2019-07-16 戴比尔斯英国有限公司 For sorting the device and method of jewel
CN106645151B (en) * 2016-12-08 2024-03-08 苏州德创测控科技有限公司 Gluing detection device for screws
CN106645151A (en) * 2016-12-08 2017-05-10 苏州德创测控科技有限公司 Gluing detection device for screws
CN106733725A (en) * 2016-12-13 2017-05-31 上海威克鲍尔通信科技有限公司 A kind of device of visual inspection connector outward appearance
CN106706648A (en) * 2016-12-28 2017-05-24 重庆远创光电科技有限公司 Automatic online visual detection system for material shortage of copper bush
CN106645175B (en) * 2016-12-28 2023-09-05 重庆远创光电科技有限公司 Copper sheet lack of material automatic on-line vision detecting system
CN106645175A (en) * 2016-12-28 2017-05-10 重庆远创光电科技有限公司 Automatic, online and visual detection system for missing of copper sheets
CN106706648B (en) * 2016-12-28 2023-05-23 重庆远创光电科技有限公司 Copper sheathing lacks automatic online vision detecting system of material
CN106670116B (en) * 2017-01-24 2023-03-31 杭州电子科技大学 Magnetic material detects and sorting device
CN106670116A (en) * 2017-01-24 2017-05-17 杭州电子科技大学 Magnetic material detecting and sorting device
CN107030016A (en) * 2017-03-29 2017-08-11 嘉善永金金属制品有限公司 A kind of casting visual detection equipment
CN107030026A (en) * 2017-05-17 2017-08-11 鹏南科技(厦门)有限公司 A kind of semiconductor refrigerating crystal grain automatic fraction collector
CN107515226A (en) * 2017-09-22 2017-12-26 苏州天键衡电子信息科技有限公司 A kind of method of work of the image measuring device of product automatic detection sorting
CN109859193A (en) * 2019-02-01 2019-06-07 东莞中科蓝海智能视觉科技有限公司 Part defect and circular arc Thickness sensitivity recognition methods
CN110340035A (en) * 2019-07-13 2019-10-18 中国热带农业科学院农产品加工研究所 A kind of cashew nut sorting equipment and method

Similar Documents

Publication Publication Date Title
CN202087540U (en) Online detector of copper piece appearance defects based on machine vision
CN102221557B (en) Automatic detecting device and detection method for quality of lamp holder based on machine vision
CN105301009A (en) Brake block appearance defect multi-station online detection device and method
CN103406286B (en) Online grading method for external quality of fruit based on LabVIEW
CN204035057U (en) A kind of for detecting the qualified device of bearing outside dimension
CN103480585B (en) Fully-automatic tracking appearance inspection equipment
CN205436353U (en) Bearing sorting machine
CN102671870A (en) Device and method for automatically detecting and sorting light emitting diodes (LEDs)
CN201702119U (en) Gear apparent defect automatic optical picking machine
CN104458750A (en) Automatic aluminum profile surface defect detecting equipment based on machine vision
CN109692820A (en) Optical fiber metalwork surface defect on-line measuring device and method based on image procossing
CN204564598U (en) Glass tube sorting unit and glass tube outward appearance automatic detection system
CN105598043A (en) Automatic detection equipment
CN204182595U (en) A kind of lithium ion battery surface defect detection equipment
CN106353336A (en) Lens coating automatic detection system
CN106076884B (en) A kind of smart bearing shell detection line
CN212301356U (en) Wheel hub welding seam visual detection device
CN107589731A (en) A kind of intelligence manufacture flexible production line and its production method based on Internet of Things
CN205449820U (en) Machine vision device of detectable ball bearing defect
CN105057229B (en) A kind of sprayed surface defect inspection machine
CN203465212U (en) System for detecting surface detects of small-sized electroplating workpieces
CN106153629A (en) Flow path device for detection with cut crystal resistance
CN203578237U (en) Full-automatic heel wire appearance detection equipment
CN104931505A (en) Machine visual surface detection system
CN203599088U (en) Automatic detection machine of automobile lock catch

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
C17 Cessation of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20111228

Termination date: 20130519