CN105548201A - Battery welding cap visual-inspection method - Google Patents
Battery welding cap visual-inspection method Download PDFInfo
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- CN105548201A CN105548201A CN201610024798.2A CN201610024798A CN105548201A CN 105548201 A CN105548201 A CN 105548201A CN 201610024798 A CN201610024798 A CN 201610024798A CN 105548201 A CN105548201 A CN 105548201A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
- G01N2021/8867—Grading and classifying of flaws using sequentially two or more inspection runs, e.g. coarse and fine, or detecting then analysing
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- Life Sciences & Earth Sciences (AREA)
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- Analytical Chemistry (AREA)
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- General Health & Medical Sciences (AREA)
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- Sealing Battery Cases Or Jackets (AREA)
Abstract
The invention discloses a battery welding cap visual-inspection method. The battery welding cap visual-inspection method comprises the steps that a qualified battery picture is registered as a standard image; one-time photographing and imaging are conducted on a product to be inspected; a similarity vale is set, the actually picked-up image is compared with the standard image, the similarity is calculated, and a product with the similarity value greater than the set value is regarded as a preliminary qualified product; then grouped defect inspection is performed to inspect whether the folded corner of a welding cap pin is located at a welded position or not; spot inspection is performed to inspect the defect that the welding cap pin is welded, or produces a fault surface exists or floats on the welded position or not; edge position inspection is performed to inspect the situation of permit value deviation of the welded position of the welding pin. The battery welding cap visual-inspection method is simple in inspection process and convenient to use, the battery welding cap welding situation can be quickly inspected, and the problems of low efficiency and poor inspection effect existing in a current manual visual inspection mode and poor product stability and the like caused by different visual inspection standards can be effectively solved.
Description
Technical field
The present invention relates to battery and prepare correlative technology field, particularly relate to a kind of battery welding cap visible detection method.
Background technology
Battery, as life necessary article, is widely used in daily life, such as telepilot, toy, telephone set, counter etc.In 9V battery production technology, battery leg welding situation is indispensable test item, and thus leg welding technology directly affects battery performance, and the quality of battery performance directly affects the quality of the life of people and people to the impression of this battery brand.
At present, in normal battery production technology, there is following several defect in battery welding cap part: (1) welding cap angle folding pin is rolled at cell backside, not on welding position; (2) welding cap pin does not weld, and occurs section, wafts on welding position; (3) normal position is departed from leg welding position.Common practice is in the market, artificial visually examine, checks the welding situation of battery; There is following several respects problem in artificial visually examine: (1) recruitment at present shortage, and human cost is high, causes production cost high; (2) artificial visually examine's inefficiency, and due to different personnel's naked eyes criterions different, cause in product different batches or same batch, the stability of product is poor.Not yet there is the directly effective visible detection method detecting battery leg technique at present on the market, detect the welding situation of battery leg.
Summary of the invention
For solving above technical matters, the present invention proposes a kind of battery welding cap visible detection method.
Technical scheme of the present invention is:
A kind of battery welding cap visible detection method, is characterized in that, comprise the steps:
Step S1: by qualified battery photograph registration standard picture;
Step S2: by the control of outside PLC control signal, the product to be detected of production line is sent to and detects on station by system; Vision controller controls camera and carries out once photo taking imaging to product to be measured within sweep of the eye at it;
Step S3: set a similarity numerical value, the image of actual photographed and standard picture are compared, and calculate similarity, is greater than setting numerical value to similarity, is judged to be preliminary specification product, enters step S4, otherwise go to step S7;
Step S4: grouping Defect Detection, in order to whether to detect the knuckle of welding cap pin in welding position: set a surveyed area, setting flaw limit value, flaw quantity is detected in surveyed area, when flaw number exceedes capping numerical value, go to step S7, otherwise go to step S5;
Step S5: spot detection, does not weld in order to detect welding cap pin, occurs section, the defect on welding position of wafing; The higher limit of the setting spot upper limit, if detect spot number to exceed setting value, then goes to step S7, otherwise goes to step S6;
Step S6: marginal position detects, in order to detect the situation of leg welding position deviation permit value; Nearest and the maximum distance of setting leg distance battery edge, setting minimum distance is S
n, maximum distance is S
f, calculate the distance S of leg distance battery edge in product image to be measured, if S is in S
nwith S
fbetween, be then judged as certified products, otherwise go to step S7;
Step S7: product is unacceptable product, is rejected by part eject station.
Further, in step S1, take qualified battery photo, using the leg image below battery welding cap as standard picture, carry out registration and preserve.
Further, in step S3, similarity numerical value is 90%.
Further, in step S4, flaw detection method is as follows: point centered by the center of standard picture, sets a surveyed area A; Because the picture centre of product to be measured is overlapping with standard picture center, be in concentric, so surveyed area A also just in time drops on the corresponding band of position of the image of product to be measured; Adjust the binaryzation numerical value of Product checking region A to be measured and select binaryzation reversion; With the color look as a setting after the reversion of standard picture binaryzation, when leg or other flaws appear in the product back side to be measured, flaw is shown as the color being different from background colour in surveyed area A; In surveyed area A, set a defect areas area, judge battery welding cap whether existing defects according to the value of defect areas area.
Further, the size of surveyed area A is the size being less than or equal to cell backside energy shooting area.
The invention has the advantages that: the present invention proposes a kind of battery welding cap visible detection method, grouping Defect Detection, spot detection, marginal position are detected three kinds of detection methods and merge mutually by the method, effectively can detect the defect of welding cap angle folding pin folding overleaf not in welding position, welding cap pin do not weld, there is section, the defect on welding position of wafing and detect the situation of leg welding position deviation permit value.The method trace routine is simple, easy to use, can detect battery welding cap welding situation fast, effectively can solve current manual and estimate the problems such as the inefficiency of existence, Detection results difference and the different product stability difference caused of visual inspection standard.
Accompanying drawing explanation
Fig. 1 is battery welding cap vision inspection apparatus structural representation;
Fig. 2 is the overhaul flow chart of invention;
Fig. 3 is battery detecting schematic block diagram;
Fig. 4 is grouping Defect Detection schematic block diagram;
Fig. 5 is that marginal position detects schematic block diagram;
Embodiment
The technological means realized to make the present invention, creation characteristic, reaching object and effect is easy to understand, below in conjunction with diagram and specific embodiment, setting forth the present invention further.
As shown in Figure 1, be battery welding cap vision inspection apparatus, comprise outside PLC control signal, vision controller, detection station, part eject station, camera; Detect on station and be placed with battery to be detected, camera is positioned at 45 degree, the front of product to be detected, and the front of camera is provided with light source, and camera is connected with vision controller; Outside PLC control signal is respectively with vision controller and detect station and be connected.In battery leg technique, what need to detect leg and battery welds situation.As shown in Figure 3, Reference numeral 1 is battery welding cap, and Reference numeral 2 is battery, and Reference numeral 3 is leg;
The present invention is by taking qualified battery photo, using the leg image below battery welding cap as standard picture (see Fig. 3), and the image of actual photographed and standard picture are compared, and calculate similarity, to similarity lower than 90%, be judged to be flaw product and output signal to PLC, 90% is greater than to similarity, be judged to be preliminary specification product, then carry out grouping Defect Detection, spot detection, marginal position detection.
As shown in Figure 2, specific embodiment of the invention step is as follows:
Step S1: registered standard image: take qualified battery photo, using the leg image below battery welding cap as standard picture, preserves;
Step S2: by the control of outside PLC control signal, the product to be detected of production line is sent to and detects on station by system; Vision controller controls camera and carries out once photo taking imaging to product to be measured within sweep of the eye at it;
Step S3: the image of actual photographed and standard picture are compared, and calculate similarity, is greater than 90% to similarity, is judged to be preliminary specification product, enters step S4, otherwise be unacceptable product, rejected by part eject station.
Step S4: grouping Defect Detection: whether detect welding cap pin knuckle in welding position.Set a surveyed area, setting flaw limit value, detects flaw quantity, when flaw number exceedes capping, is then judged to be unacceptable product, is rejected by part eject station in surveyed area.If leg is at cell backside, because welding cap pin is metal, color color ratio with search domain is different, then in search domain, flaw number can significantly increase, this product NG is judged by detection system, for substandard product, to output signal to after control system process by control system signal to eliminating system, reject unacceptable product.Output grouping Defect Detection, in order to whether to detect the knuckle of welding cap pin in welding position, as by detection, can find welding cap angle folding pin folding overleaf, not in the defect of welding position.
As shown in Figure 4, point centered by the center of standard picture, setting one square surveyed area A, the size of surveyed area A is the size being less than or equal to cell backside energy shooting area; Because the picture centre of product to be measured is overlapping with standard picture center, be in concentric, so surveyed area A also just in time drops on the corresponding band of position of the image of product to be measured;
Adjust the binaryzation numerical value of Product checking region A to be measured and select binaryzation reversion; With the color look as a setting after the reversion of standard picture binaryzation, when there is leg or other flaws in the product back side to be measured, flaw is shown as the color being different from background colour in surveyed area A, in surveyed area A, set a defect areas area, judge battery welding cap whether existing defects according to the value of defect areas area; Value as actual defect areas area is more than or equal to setting value, be then judged as faulty materials, and output signal to PLC, is rejected by cylinder at next station; Value as actual retrieval area is less than setting value, be then judged to be certified products, does not output signal.
Step S5: spot detection: two legs of standard picture cover are registered as and detect position, if leg welding is good, now detected image place is without section, and this Image Speckle number is 1; If failure welding, leg wafts at welding position place, there is section in now detection place image, detected image spot number is 2, system judges the higher limit of this image defective (output of NG signal) setting spot upper limit, if detect spot number to exceed setting value, be then judged to be unacceptable product, rejected by part eject station.Spot detection is not welded in order to detect welding cap pin, occurs section, the defect on welding position of wafing.In the present embodiment, spot limit value is set to 1.
Step S6: marginal position detects.As shown in Figure 5, the nearest and maximum distance of setting leg distance battery edge, setting minimum distance is S
n, maximum distance is S
f, calculate the distance a of leg distance battery edge in product image to be measured, as a is in S
nwith S
fbetween, be then judged as certified products, otherwise be unacceptable product, rejected by part eject station.Marginal position detects the situation in order to detect leg welding position deviation permit value.
More than show and describe ultimate principle of the present invention, principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; what describe in above-described embodiment and instructions just illustrates principle of the present invention; the present invention also has various changes and modifications without departing from the spirit and scope of the present invention, and these changes and improvements all fall in the claimed scope of the invention.
Claims (5)
1. a battery welding cap visible detection method, is characterized in that, comprises the steps:
Step S1: by qualified battery photograph registration standard picture;
Step S2: by the control of outside PLC control signal, the product to be detected of production line is sent to and detects on station by system; Vision controller controls camera and carries out once photo taking imaging to product to be measured within sweep of the eye at it;
Step S3: set a similarity numerical value, the image of actual photographed and standard picture are compared, and calculate similarity, is greater than setting numerical value to similarity, is judged to be preliminary specification product, enters step S4, otherwise go to step S7;
Step S4: grouping Defect Detection, in order to whether to detect the knuckle of welding cap pin in welding position: set a surveyed area, the limit value of setting flaw number, flaw quantity is detected in surveyed area, when flaw number exceedes capping numerical value, go to step S7, otherwise go to step S5;
Step S5: spot detection, does not weld in order to detect welding cap pin, occurs section, the defect on welding position of wafing; The higher limit of the setting spot upper limit, if detect spot number to exceed setting value, then goes to step S7, otherwise goes to step S6;
Step S6: marginal position detects, in order to detect the situation of leg welding position deviation permit value; Nearest and the maximum distance of setting leg distance battery edge, setting minimum distance is S
n, maximum distance is S
f, calculate the distance S of leg distance battery edge in product image to be measured, if S is in S
nwith S
fbetween, be then judged as certified products, otherwise go to step S7;
Step S7: product is unacceptable product, is rejected by part eject station.
2. a kind of battery welding cap visible detection method according to claim 1, is characterized in that, in step S1, takes qualified battery photo, using the leg image below battery welding cap as standard picture, carries out registration and preserves.
3. a kind of battery welding cap visible detection method according to claim 1, is characterized in that, in step S3, similarity numerical value is 90%.
4. a kind of battery welding cap visible detection method according to claim 1, it is characterized in that, in step S4, flaw detection method is as follows: point centered by the center of standard picture, set a surveyed area A, because the picture centre of product to be measured is overlapping with standard picture center, be in concentric, so surveyed area A also just in time drops on the corresponding band of position of the image of product to be measured;
Adjust the binaryzation numerical value of Product checking region A to be measured and select binaryzation reversion; With the color look as a setting after the reversion of standard picture binaryzation, when leg or other flaws appear in the product back side to be measured, flaw is shown as the color being different from background colour in surveyed area A;
In surveyed area A, set a defect areas area, judge battery welding cap whether existing defects according to the value of defect areas area.
5. a kind of battery welding cap visible detection method according to claim 4, it is characterized in that, the size of surveyed area A is the size being less than or equal to cell backside energy shooting area.
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107516308A (en) * | 2017-07-06 | 2017-12-26 | 佛山科学技术学院 | A kind of battery cap front visible detection method |
| CN107520140A (en) * | 2017-07-06 | 2017-12-29 | 佛山科学技术学院 | A kind of battery cap reverse side visible detection method |
| CN108107051A (en) * | 2017-12-19 | 2018-06-01 | 无锡先导智能装备股份有限公司 | lithium battery defect detecting system and method based on machine vision |
| CN108226163A (en) * | 2017-12-27 | 2018-06-29 | 合肥市雅视智能科技有限公司 | A kind of block automated detection method |
| CN108388856A (en) * | 2018-02-11 | 2018-08-10 | 天津市吉赫科技有限公司 | The detection device and detection method identified for product casing character and graphic and version |
| CN109813721A (en) * | 2019-01-30 | 2019-05-28 | 广东利元亨智能装备股份有限公司 | Visual detection device and appearance detection equipment |
| CN110044922A (en) * | 2019-04-28 | 2019-07-23 | 广东利元亨智能装备股份有限公司 | Appearance detection equipment |
| CN111426685A (en) * | 2020-03-20 | 2020-07-17 | 合肥国轩高科动力能源有限公司 | Detection method for lithium battery laser welding |
| CN112129700A (en) * | 2020-09-01 | 2020-12-25 | 中山德著智能科技有限公司 | Image detection method and detection device for flexible circuit board |
| CN112541894A (en) * | 2020-12-11 | 2021-03-23 | 无锡雷德环保设备有限公司 | Product deformation detection method |
| CN113207274A (en) * | 2021-04-29 | 2021-08-03 | 歌尔科技有限公司 | Automatic battery mounting equipment and automatic battery mounting method |
| CN113298762A (en) * | 2021-05-07 | 2021-08-24 | 威海世高光电子有限公司 | flare detection method |
| CN113441809A (en) * | 2021-09-01 | 2021-09-28 | 深圳市泰科盛自动化***有限公司 | CCD counterpoint pulse hot pressure welding system |
| CN113566730A (en) * | 2021-07-29 | 2021-10-29 | 广东电网有限责任公司 | Battery expansion deformation detection system and method |
| CN113720857A (en) * | 2021-09-30 | 2021-11-30 | 格兰德电气有限公司 | Method for automatically comparing stator defects |
| CN114018151A (en) * | 2021-10-26 | 2022-02-08 | 宁波高新区海芙科技有限公司 | Visual detection method for scribed line size of battery |
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| CN107516308B (en) * | 2017-07-06 | 2020-12-29 | 佛山科学技术学院 | Battery cap front side visual detection method |
| CN107520140A (en) * | 2017-07-06 | 2017-12-29 | 佛山科学技术学院 | A kind of battery cap reverse side visible detection method |
| CN107516308A (en) * | 2017-07-06 | 2017-12-26 | 佛山科学技术学院 | A kind of battery cap front visible detection method |
| CN107520140B (en) * | 2017-07-06 | 2019-12-24 | 佛山科学技术学院 | Battery cap reverse side visual detection method |
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| CN113298762A (en) * | 2021-05-07 | 2021-08-24 | 威海世高光电子有限公司 | flare detection method |
| CN113298762B (en) * | 2021-05-07 | 2022-08-02 | 威海世高光电子有限公司 | flare detection method |
| CN113566730A (en) * | 2021-07-29 | 2021-10-29 | 广东电网有限责任公司 | Battery expansion deformation detection system and method |
| CN113566730B (en) * | 2021-07-29 | 2023-09-08 | 广东电网有限责任公司 | Battery expansion deformation detection system and method |
| CN113441809A (en) * | 2021-09-01 | 2021-09-28 | 深圳市泰科盛自动化***有限公司 | CCD counterpoint pulse hot pressure welding system |
| CN113441809B (en) * | 2021-09-01 | 2021-11-26 | 深圳市泰科盛自动化***有限公司 | CCD counterpoint pulse hot pressure welding system |
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