CN116818789A - Method for detecting film covering condition of new energy battery shell - Google Patents
Method for detecting film covering condition of new energy battery shell Download PDFInfo
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- CN116818789A CN116818789A CN202310524184.0A CN202310524184A CN116818789A CN 116818789 A CN116818789 A CN 116818789A CN 202310524184 A CN202310524184 A CN 202310524184A CN 116818789 A CN116818789 A CN 116818789A
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- 238000000034 method Methods 0.000 title claims description 12
- 238000001514 detection method Methods 0.000 claims abstract description 47
- 238000012545 processing Methods 0.000 claims abstract description 11
- 230000002950 deficient Effects 0.000 claims description 16
- 239000002699 waste material Substances 0.000 claims description 9
- 238000012937 correction Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 230000037303 wrinkles Effects 0.000 claims description 3
- 238000009825 accumulation Methods 0.000 claims description 2
- 239000011248 coating agent Substances 0.000 description 6
- 238000000576 coating method Methods 0.000 description 6
- 230000007547 defect Effects 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010292 electrical insulation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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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
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
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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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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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
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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
- G01N2021/8887—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 based on image processing techniques
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Abstract
The invention discloses a detection method for the film covering condition of a new energy battery shell, relates to the technical field of battery film covering, aims to solve the problem of higher manual omission rate, and adopts the technical scheme that: s1, conveying a product to be detected to a first station by using a mechanical arm, wherein two detection platforms are arranged on the first station, a fixture clamp for fixing the product to be detected is arranged on each detection platform, the product to be detected is vertically clamped, two cameras are arranged on one side of the first station, and the two cameras are driven to transversely move at the same time by using a servo module to detect the large surface of the product to be detected; s2, transmitting the signals to a winform program on a computer, calling a detection program, calling an image processing algorithm, outputting an algorithm result, displaying an image, acquiring the result and data, feeding back the result and data to a PLC control unit, and outputting the feedback result and data. The new energy source of the invention ensures the omission factor of the whole detection through an accurate detection algorithm, thereby improving the working efficiency.
Description
Technical Field
The invention relates to the technical field of battery coating, in particular to a method for detecting the coating condition of a new energy battery shell.
Background
The insulating film is a film capable of ensuring good electrical insulation, and protecting direct contact between battery shells, and preventing leakage and high-voltage breakdown risks.
After the battery is attached with the insulating film, if bubbles, wrinkles, foreign matters and the like exist on the surface, the insulating performance is reduced, and the safety of the vehicle is affected. The battery factory is currently inspected manually by operators, so that the efficiency is low, the personnel cost is high, the battery yield is high, and usually, a plurality of people are required to inspect the battery factory together, so that the personnel cost is high. Operators can have a certain omission ratio when working at shift, new people are on duty and night shift production is performed. When personnel get the battery, the maloperation also can cause certain harm to the battery surface, can also appear battery short circuit and strike sparks etc. potential safety hazards sometimes.
There is therefore a need to propose a new solution to this problem.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a detection method for the covering film condition of a new energy battery shell, and the purpose of reducing the omission ratio is achieved through the arrangement of a structure.
The technical aim of the invention is realized by the following technical scheme: the method for detecting the film covering condition of the new energy battery shell comprises the following steps of S1, conveying a product to be detected to a first station by using a mechanical arm, wherein two detection platforms are arranged on the first station, a fixture clamp for fixing the product to be detected is arranged on each detection platform, the product to be detected is vertically clamped, two cameras are arranged on one side of the first station, and the two cameras are driven to transversely move at the same time by using a servo module to detect the large surface of the product to be detected;
s2, transmitting the signals to a wi form window program on a computer, calling a detection program, calling an image processing algorithm, outputting an algorithm result, displaying an image, acquiring a result and data, feeding back the result and data to a PLC control unit, and dividing the feedback result and data into qualified products and defective products;
s3, after the qualified product is detected on one surface, the detection platform is rotated for 180 degrees, the other large surface of the product to be detected is detected, the step S2 is repeatedly completed, the result and the data are accumulated, the defective product is detected by the PLC control unit, and the defective product is placed into a waste bin through the mechanical arm;
s4, rotating the detection platform for 180 degrees for centering, grabbing qualified products by using a mechanical arm, transporting the qualified products to a second station, arranging two detection platforms on the second station, arranging a fixture on the detection platform, horizontally clamping the products to be detected, arranging cameras on two sides of the second station, driving the cameras to transversely move by using a servo module, detecting two side surfaces of the products to be detected, repeatedly carrying out S2 operation, accumulating results and data, and putting the defective products into a waste bin through the mechanical arm;
s5, rotating the detection platform by 90 degrees, using the servo module to move the camera transversely again, detecting the top and bottom surfaces of the product to be detected, repeating the operation of S2, accumulating the result and the data, and placing the defective product into a waste bin through the mechanical arm;
and S6, the feedback result is still qualified, the detection platform rotates for 90 degrees for correction, and the mechanical arm grabs the final qualified product to the next detection item to finish the detection of the film covering state of the whole product.
The invention is further provided with: the image processing algorithm comprises the steps of calling a camera SDK, setting camera parameters, taking an image by the SDK, acquiring a depth map, carrying out preliminary pretreatment, fitting a plane by a 3D algorithm, subtracting the fitted plane from an actual plane, detecting a region lower than a set height by a tool, dividing the region, preprocessing the region, acquiring a region meeting set conditions, extracting the area and length and width information of the region, carrying out secondary screening on the region, carrying out logic processing, judging whether OK is carried out, integrating the graph, outputting the image, and outputting a data result.
The invention is further provided with: the exposure of the camera was adjusted to 100 microseconds with a 5-interval employed.
The invention is further provided with: the bubble set in the region has a depth exceeding 0.2mm, and a wrinkle having a length of 2mm and a width of 1mm or more.
The invention is further provided with: the number of the bubbles is not more than 5, the qualified products are positioned, and the size of each bubble exceeds 2mm and is directly determined as the defective products.
The invention is further provided with: the number of folds is not more than 2 in accumulation.
In summary, the invention has the following beneficial effects:
the method can realize automatic detection of detecting the appearance defects of the battery coating, improves the production efficiency, and reduces the labor cost for enterprises. Compared with the original manual detection, the manual detection is about 3pcs per minute, the omission rate of the single equipment of the mechanism is reduced from 5% to 1% per minute, and the detection method can more accurately judge the defect number on the battery coating.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of an image processing algorithm of the present invention;
FIG. 3 is a schematic diagram of the structure of the product to be inspected according to the present invention
FIG. 4 is a schematic view of the construction of a first station of the present invention;
fig. 5 is a schematic structural diagram of a second station of the present invention.
In the figure: 1. a first station; 2. a camera; 3. and a second station.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. It will be apparent that the described embodiments are some, but not all, embodiments of the invention.
Thus, the following detailed description of the embodiments of the invention is not intended to limit the scope of the invention, as claimed, but is merely representative of some embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, under the condition of no conflict, the embodiments of the present invention and the features and technical solutions in the embodiments may be combined with each other.
The present invention will be described in detail below with reference to the accompanying drawings and examples.
A method for detecting the film covering condition of a new energy battery shell, as shown in figures 1-5, comprises,
s1, transporting a product to be detected to a first station 1 by using a mechanical arm, wherein the first station 1 is provided with two detection platforms, the detection platforms are provided with tool clamps for fixing the product to be detected, the product to be detected is a battery, the size range of the product to be detected, which is compatible with the tool clamps, is 113-118mm in length, 145-150mm in width and 38-42mm in thickness, the whole application range is improved, furniture replacement is avoided when the size of the product to be detected needs to be changed, the whole cost is reduced, the product to be detected is transported to the detection platforms by using the mechanical arm through a PLC control unit, the tool clamps on the detection platforms clamp the narrow side surfaces of the product to be detected, the device is vertically placed, a product to be detected is clamped, a support is placed on one side of a first station 1, two cameras 2 are fixedly connected to the support through bolts, the cameras 2 are 3D cameras 2, the models of the cameras 2 are K-3D-95-B, the two cameras 2 are arranged up and down and are parallel to each other, the surfaces of probes of the two cameras 2 are located on the same plane, the two cameras 2 are driven by a servo module to transversely move at the same time, the large surface of the product to be detected is detected, and as the visual field of the 3D camera is limited, the large surface of the product to be detected is provided with two cameras, the shooting visual fields of the two cameras can be guaranteed, so that the detection precision is improved;
s2, transmitting signals to a win form window program on a computer, calling a detection program, and calling an image processing algorithm, wherein the image processing algorithm comprises the steps of calling a camera SDK, setting camera parameters, adjusting the exposure of the camera 2 to 100 microseconds, sampling the images at 5 intervals in the Y direction, sampling the images 5000 in the Y direction, taking the images according to the adjustment of the parameters, acquiring a depth map by the SDK, performing preliminary pretreatment, fitting the plane by using a 3D algorithm, subtracting the fitted plane by using an actual plane, detecting a region lower than a set height by a tool, dividing the region, preprocessing the region, acquiring a region meeting a set condition, extracting the area, length and width information of the region, setting the condition to be more than 0.5mm of a square, setting the depth to be more than 0.2mm of bubbles, setting the length to be more than 2mm of the square, performing secondary screening on the region, performing logic processing, judging whether OK, integrating the images, outputting data results, outputting algorithm results, displaying the results, acquiring the results and the images, feeding back and controlling the data until the feedback and the control unit are respectively, and if the number of the feedback and the data exceeds the number of the integrated images exceeds 2mm, and if the number exceeds the number of the integrated images exceeds 2mm, positioning the defective products;
s3, after the qualified product is detected on one surface, the detection platform is rotated for 180 degrees, the other large surface of the product to be detected is detected, the step S2 is repeatedly completed, the result and the data are accumulated, the defective product is detected by the PLC control unit, and the defective product is placed into a waste bin through the mechanical arm;
s4, rotating the detection platform for 180 degrees for aligning, grabbing qualified products by using a mechanical arm, transporting the qualified products to a second station 3, arranging two detection platforms on the second station 3, horizontally clamping the products to be detected by using a fixture clamp, arranging brackets on two sides of the second station 3, fixedly connecting one camera 2 on the brackets through bolts, driving the camera 2 to transversely move by using a servo module, detecting two side surfaces of the products to be detected, repeatedly carrying out S2 operation, accumulating results and data, and putting the unqualified products into a waste bin through the mechanical arm;
s5, rotating the detection platform by 90 degrees, using the servo module to move the camera 2 transversely again, detecting the top and bottom surfaces of the product to be detected, repeatedly performing the operation of S2, accumulating the result and the data, and placing the defective product into a waste bin through the mechanical arm;
and S6, the feedback result is still qualified, the detection platform rotates for 90 degrees for correction, and the mechanical arm grabs the final qualified product to the next detection item to finish the detection of the film covering state of the whole product.
The detection method can realize automatic detection of detecting the appearance defects of the battery coating, improves the production efficiency and reduces the labor cost of enterprises. Compared with the original manual detection, the manual detection is about 3pcs per minute, the omission rate of the single equipment of the mechanism is reduced from 5% to 1% per minute, and the detection method can more accurately judge the defect number on the battery coating.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the present invention may occur to one skilled in the art without departing from the principles of the present invention and are intended to be within the scope of the present invention.
Claims (6)
1. A detection method for the film covering condition of a new energy battery shell is characterized by comprising the following steps: the method comprises the steps that S1, a product to be detected is transported to a first station (1) by using a mechanical arm, two detection platforms are arranged on the first station (1), a fixture clamp for fixing the product to be detected is arranged on each detection platform, the product to be detected is vertically clamped, two cameras (2) are arranged on one side of the first station (1), the two cameras (2) are driven to transversely move at the same time by using a servo module, and the large surface of the product to be detected is detected;
s2, transmitting the signals to a winform program on a computer, calling a detection program, calling an image processing algorithm, outputting an algorithm result, displaying an image, acquiring a result and data, feeding back the result and data to a PLC (programmable logic controller) control unit, and dividing the feedback result and data into qualified products and defective products;
s3, after the qualified product is detected on one surface, the detection platform is rotated for 180 degrees, the other large surface of the product to be detected is detected, the step S2 is repeatedly completed, the result and the data are accumulated, the defective product is detected by the PLC control unit, and the defective product is placed into a waste bin through the mechanical arm;
s4, rotating the detection platform for 180 degrees for aligning, grabbing qualified products by using a mechanical arm, transporting the qualified products to a second station (3), arranging two detection platforms on the second station (3), horizontally clamping the products to be detected by using a fixture clamp, arranging cameras (2) on two sides of the second station (3), driving the cameras (2) to transversely move by using a servo module, detecting two side surfaces of the products to be detected, repeatedly carrying out S2 operation, accumulating results and data, and putting the defective products into a waste bin by using the mechanical arm;
s5, rotating the detection platform by 90 degrees, using the servo module to move the camera (2) transversely again, detecting the top and bottom surfaces of the product to be detected, repeatedly performing S2 operation, accumulating the result and the data, and placing the defective product into a waste bin through a mechanical arm;
and S6, the feedback result is still qualified, the detection platform rotates for 90 degrees for correction, and the mechanical arm grabs the final qualified product to the next detection item to finish the detection of the film covering state of the whole product.
2. The method for detecting a film covering condition of a new energy battery case according to claim 1, characterized by: the image processing algorithm comprises the steps of calling a camera SDK, setting camera parameters, taking an image by the SDK, acquiring a depth map, carrying out preliminary pretreatment, fitting a plane by a 3D algorithm, subtracting the fitted plane from an actual plane, detecting a region lower than a set height by a tool, dividing the region, preprocessing the region, acquiring a region meeting set conditions, extracting the area and length and width information of the region, carrying out secondary screening on the region, carrying out logic processing, judging whether OK is carried out, integrating the graph, outputting the image, and outputting a data result.
3. The method for detecting a film covering condition of a new energy battery case according to claim 2, characterized by: the exposure of the camera (2) is adjusted to 100 microseconds with a sampling interval of 5.
4. The method for detecting a film covering condition of a new energy battery case according to claim 3, wherein: the bubble set in the region has a depth exceeding 0.2mm, and a wrinkle having a length of 2mm and a width of 1mm or more.
5. The method for detecting a film covering condition of a new energy battery case according to claim 4, wherein: the number of the bubbles is not more than 5, the qualified products are positioned, and the size of each bubble exceeds 2mm and is directly determined as the defective products.
6. The method for detecting a film covering condition of a new energy battery case according to claim 4, wherein: the number of folds is not more than 2 in accumulation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202310524184.0A CN116818789A (en) | 2023-05-10 | 2023-05-10 | Method for detecting film covering condition of new energy battery shell |
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| CN202310524184.0A CN116818789A (en) | 2023-05-10 | 2023-05-10 | Method for detecting film covering condition of new energy battery shell |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117890377A (en) * | 2024-02-22 | 2024-04-16 | 宁德时代新能源科技股份有限公司 | Battery monomer flexible connecting piece detection system and point detection method |
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2023
- 2023-05-10 CN CN202310524184.0A patent/CN116818789A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117890377A (en) * | 2024-02-22 | 2024-04-16 | 宁德时代新能源科技股份有限公司 | Battery monomer flexible connecting piece detection system and point detection method |
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