CN109360186A - Lithium battery diaphragm detection method, electronic equipment, storage medium and system - Google Patents
Lithium battery diaphragm detection method, electronic equipment, storage medium and system Download PDFInfo
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- CN109360186A CN109360186A CN201811010116.8A CN201811010116A CN109360186A CN 109360186 A CN109360186 A CN 109360186A CN 201811010116 A CN201811010116 A CN 201811010116A CN 109360186 A CN109360186 A CN 109360186A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
Abstract
The present invention provides lithium battery diaphragm detection method, comprising the following steps: image preprocessing is filtered the interference signal in acquisition image using filtering algorithm；Diaphragm area is detected, binary conversion treatment is carried out to acquisition image, detects the diaphragm area in bianry image；Defect area is extracted, the defects of diaphragm area region is extracted by gray threshold；Defect recognition carries out signature analysis to defect area, carries out defect recognition to signature analysis result using sorting algorithm.The present invention relates to electronic equipments and readable storage medium storing program for executing, for executing lithium battery diaphragm detection method.The invention further relates to lithium battery diaphragm detection systems.The present invention realizes detection to the various defects of diaphragm, is labeled to defect, mark and storage, convenient that historical data is recalled and analyzed, high-efficient, error is small.
Description
Technical field
The present invention relates to lithium battery diaphragm detection technique field more particularly to lithium battery diaphragm detection method, electronic equipment,
Storage medium and system.
Background technique
In the structure of lithium battery, diaphragm is crucial one of interior layer assembly.The performance of diaphragm determines the interface knot of battery
Structure, internal resistance etc. directly affect the characteristics such as capacity, circulation and the security performance of battery, and the diaphragm haveing excellent performance is to raising battery
Comprehensive performance play an important role.The main function of diaphragm is to separate the positive and negative electrode of battery, prevents the two poles of the earth from contacting
And it is short-circuit, additionally have the function of electrolyte ion capable of being made to pass through.Diaphragm material is nonconducting, physicochemical properties pair
The performance of battery has a great impact.The type of battery is different, and the diaphragm of use is also different.For lithium battery series, due to electricity
Solution liquid is organic solvent system, thus needs the diaphragm material of organic solvent-resistant, but the preparation difficulty of diaphragm material is bigger,
And there is a situation where under big puncture strength or hot conditions undesirable.It is normal for the detection of diaphragm in the prior art
Using the method for optical measurement membrane thicknesses, whether defective diaphragm is detected, but the measurement error of this mode is larger.
Summary of the invention
For overcome the deficiencies in the prior art, one of the objects of the present invention is to provide lithium battery diaphragm detection method, solutions
It has determined in the prior art, the problem big to septal defect detection error.
The present invention provides lithium battery diaphragm detection method, comprising the following steps:
Image preprocessing is filtered the interference signal in acquisition image using filtering algorithm；
Diaphragm area is detected, binary conversion treatment is carried out to the acquisition image, detects the diaphragm area in bianry image；
Defect area is extracted, the defects of diaphragm area region is extracted by gray threshold；
Defect recognition is carried out signature analysis to the defect area, is carried out using sorting algorithm to signature analysis result scarce
Fall into identification.
Further, in described image pretreatment, the interference signal in acquisition image is carried out using median filtering algorithm
Filtering processing.
Further, in the defect recognition, if detecting defect, the area and defect area central point of defect are calculated
It is described acquisition image in line position set, column position, set according to the area, line position, column position is in the acquisition image subscript
Infuse defect area.
Further, in the defect recognition, to the defect type, the area, line position that identify are set, column position carries out
Display and storage generate storage file, and according to the retrieval historical data instruction load comprising time and file name information
Storage file.
Further, further include defect mark, set according to line position and calculate the defect area with the corresponding relationship of diaphragm length
Physical distance of the domain central point on lithium battery diaphragm, and send signal control marking machine and beaten at the physical distance
Mark.
A kind of electronic equipment, comprising: processor；
Memory；And program, wherein described program is stored in the memory, and is configured to by processor
It executes, described program includes for executing above-mentioned lithium battery diaphragm detection method.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
The above-mentioned lithium battery diaphragm detection method of row.
Lithium battery diaphragm detection system, including membrane apparatus, image collecting device, industrial personal computer, septal defect detection module；
Lithium battery diaphragm is placed in the unreeling between rod and winding rod of the membrane apparatus, described to unreel rod and winding rod drives lithium electricity
Pond diaphragm continuous moving, the membrane apparatus are connect with described image acquisition device, described image acquisition device by it is described every
The pulse signal triggering of film device is taken pictures, and the image of the lithium battery diaphragm, described image acquisition device and the industry control are acquired
Machine connection, the septal defect detection module are mounted in the industrial personal computer；Described image acquisition device sends diaphragm image extremely
The industrial personal computer, the septal defect detection module detect the diaphragm image septation defect, and on the diaphragm image
Septal defect is labeled.
Further, described image acquisition device includes line-scan digital camera, camera lens, light source, camera capture card, and the camera is adopted
Truck is inserted in the industrial personal computer, and the camera lens is mounted on the line-scan digital camera, and the line-scan digital camera is placed in the light source
The lithium battery diaphragm opposite sides, the light source is for illuminating lithium battery diaphragm position to be detected, the line-scan digital camera
The diaphragm image is acquired by the camera lens, the line-scan digital camera is connect by the camera capture card with the industrial personal computer.
It further, further include marking machine, the marking machine is connect with the septal defect detection module, and the diaphragm lacks
Detection module is fallen into be set with the corresponding relationship of the diaphragm length calculating septal defect according to the line position of the diaphragm image in lithium electricity
Physical distance on the diaphragm of pond, and the physical distance is sent to the marking machine, the marking machine is to the physical distance
Mark is carried out at corresponding lithium battery diaphragm.
Compared with prior art, the beneficial effects of the present invention are:
The present invention provides lithium battery diaphragm detection method, comprising the following steps: image preprocessing, using filtering algorithm to adopting
Interference signal in collection image is filtered；Diaphragm area is detected, binary conversion treatment is carried out to acquisition image, detects two-value
Diaphragm area in image；Defect area is extracted, the defects of diaphragm area region is extracted by gray threshold；Defect recognition,
Signature analysis is carried out to defect area, defect recognition is carried out to signature analysis result using sorting algorithm.The present invention relates to electronics
Equipment and readable storage medium storing program for executing, for executing lithium battery diaphragm detection method.The invention further relates to lithium battery diaphragm detection systems.
The present invention realizes the detection to the various defects of diaphragm, is labeled to defect, historical data is returned in mark and storage, convenience
It traces back and analyzes, it is high-efficient, error is small.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And can be implemented in accordance with the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention and the accompanying drawings.
A specific embodiment of the invention is shown in detail by following embodiment and its attached drawing.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is lithium battery diaphragm detection system structure of the invention；
Fig. 2 is the membrane apparatus of the embodiment of the present invention, image collecting device structural schematic diagram；
Fig. 3 is lithium battery diaphragm detection method flow chart of the invention；
Fig. 4 is that the diaphragm of septation of embodiment of the present invention defects detection module detects interface schematic diagram.
In figure: 1, lithium battery diaphragm；2, line-scan digital camera；3, light source；4, rod is wound；5, rod is unreeled；6, the first defect；7,
Two defects；8, third defect.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to the present invention, it should be noted that not
Under the premise of conflicting, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
Lithium battery diaphragm detection system, as shown in Figure 1, being lacked including membrane apparatus, image collecting device, industrial personal computer, diaphragm
Fall into detection module；In the present embodiment, membrane apparatus includes but is not limited to diaphragm cutting machine and membrane coating machine, as shown in Fig. 2, lithium
Battery diaphragm 1 be placed in membrane apparatus unreel rod 5 and winding rod 4 between, membrane apparatus starting, unreel rod 5 and winding rod 4 drive
1 continuous moving of lithium battery diaphragm, membrane apparatus are connect with image collecting device, the pulse that image collecting device passes through membrane apparatus
Signal triggering is taken pictures, and the image of lithium battery diaphragm is acquired, i.e. the pulse signal triggering image collecting device of membrane apparatus is continuously clapped
According to, such as the every second beats 39 of image collecting device opens, the acquisition speed and diaphragm movement speed and detection accuracy of image collecting device
Related, detection accuracy is related with defect minimum dimension；Image collecting device is connect with industrial personal computer, the installation of septal defect detection module
In industrial personal computer；Image collecting device sends diaphragm image to industrial personal computer, and diaphragm image is stored in industrial personal computer memory by individual,
Septal defect detection module continuously detects the septal defect in every diaphragm image, and carries out on diaphragm image to septal defect
Mark.
As shown in Figure 2, it is preferred that image collecting device includes line-scan digital camera 2, camera lens, light source 3, camera capture card, camera
Capture card is inserted in industrial personal computer, and camera lens is mounted on line-scan digital camera 2, and line-scan digital camera 2 and light source 3 are placed in lithium battery diaphragm 1 relatively
Two sides, light source 3 are used to illuminate the position to be detected of lithium battery diaphragm 1, and line-scan digital camera 2 acquires diaphragm image, linear array by camera lens
Camera 2 is connect by camera capture card with industrial personal computer.In the present embodiment, by line-scan digital camera 2 carry out Image Acquisition, lithium battery every
The every Moving Unit distance in membrane apparatus of film 1 triggers line-scan digital camera 2 by the pulse signal of membrane apparatus and acquires a line diaphragm
Image, unit distance refer to that pulse precision, pulse precision are that the servo motor of membrane apparatus receives a pulse, drive lithium electricity
The mobile distance of pond diaphragm 1；The length of the line number of picture and diaphragm is established one-to-one relationship by industrial personal computer, and line-scan digital camera 2 is adopted
When collecting the diaphragm image of certain line number, industrial personal computer memory is reached by data line, septal defect detection module is to being put into memory
Diaphragm image carry out defects detection.
In one embodiment, it is preferred that further include marking machine, marking machine is connect with septal defect detection module, and diaphragm lacks
Detection module is fallen into be set with the corresponding relationship of diaphragm length calculating septal defect on lithium battery diaphragm according to the line position of diaphragm image
Physical distance, and physical distance is sent to marking machine, marking machine at the corresponding lithium battery diaphragm of physical distance to beating
Mark, marking of defects range.
Lithium battery diaphragm detection method, as shown in Figure 3, comprising the following steps:
Image preprocessing is filtered the interference signal in acquisition image using filtering algorithm；Preferably, image
In pretreatment, the interference signal in acquisition image is filtered using median filtering algorithm.
Diaphragm area is detected, binary conversion treatment is carried out to acquisition image, detects the diaphragm area in bianry image；
Defect area is extracted, the defects of diaphragm area region is extracted by gray threshold；
Defect recognition carries out signature analysis, including gray feature and shape feature to defect area, using sorting algorithm pair
Signature analysis result carries out defect recognition.
As shown in Figure 4, it is preferred that in defect recognition, detection parameters setting, detection ginseng can be carried out according to real work demand
Number includes but is not limited to gray threshold, size threshold, operation radius etc., aobvious at diaphragm detection interface if defect is not detected
Show OK, and defects detection is carried out to next picture；If detecting defect, interface display NG is detected in diaphragm, and calculate and lack
Sunken area and defect area central point acquisition image in line position set, column position, according to area, line position is set, column position exists
It acquires and marks defect area on image, in Fig. 4, detect that current image has defect at three, respectively the first defect 6, second lacks
7 are fallen into, third defect 8 calculates separately the first defect 6, the second defect 7, and the area and defect area central point of third defect 8 are being adopted
Line position in collection image sets, column position, and is shown in " defective data " on right side, as the first defect 6 in " defective data "
" 1- diaphragm bright spot " it is corresponding, the distance (column position) of the first defect 6 is 0.02, and back gauge (line position is set) is 42.68, and area is
0.0569, the second defect 7 is corresponding with " the 2- diaphragm dim spot " in " defective data ", and the distance (column position) of the second defect 7 is
0.03, back gauge (line position is set) is 41.69, and area 0.0248, third defect 8 and " the 3- diaphragm dim spot " in " defective data " are right
It answers, the distance (column position) of third defect 8 is 0.02, and back gauge (line position is set) is 16.05, and area 0.0396 is lacked according to first
6 are fallen into, the second defect 7, the area of third defect 8, line position are set, column position marks defect area on acquisition image.Preferably, it lacks
It falls into identification, to the defect type, area, line position that identify are set, column position is shown and is stored, generates storage file, this
In embodiment, drawbacks described above information is stored to Excel file；If desired historical data is retrieved, then basis includes time and text
The retrieval historical data of part name information instructs load store file.
In one embodiment, it is preferred that further include defect mark, if desired mark is then set according to line position and diaphragm length
Corresponding relationship (one-to-one relationship of the length of the line number and diaphragm of i.e. above-mentioned picture) calculate defect area central point in lithium
Actual physics distance (opposite line-scan digital camera starts to acquire position when image) on battery diaphragm, and send signal control mark
Machine carries out mark at physical distance.
A kind of electronic equipment, comprising: processor；
Memory；And program, wherein program is stored in memory, and is configured to be executed by processor, journey
Sequence includes for executing above-mentioned lithium battery diaphragm detection method.
A kind of computer readable storage medium, is stored thereon with computer program, and computer program is executed by processor
State lithium battery diaphragm detection method.
The present invention provides lithium battery diaphragm detection method, comprising the following steps: image preprocessing, using filtering algorithm to adopting
Interference signal in collection image is filtered；Diaphragm area is detected, binary conversion treatment is carried out to acquisition image, detects two-value
Diaphragm area in image；Defect area is extracted, the defects of diaphragm area region is extracted by gray threshold；Defect recognition,
Signature analysis is carried out to defect area, defect recognition is carried out to signature analysis result using sorting algorithm.The present invention relates to electronics
Equipment and readable storage medium storing program for executing, for executing lithium battery diaphragm detection method.The invention further relates to lithium battery diaphragm detection systems.
The present invention realizes the detection to the various defects of diaphragm, is labeled to defect, historical data is returned in mark and storage, convenience
It traces back and analyzes, it is high-efficient, error is small.
More than, only presently preferred embodiments of the present invention is not intended to limit the present invention in any form；All current rows
The those of ordinary skill of industry can be shown in by specification attached drawing and above and swimmingly implement the present invention；But all to be familiar with sheet special
The technical staff of industry without departing from the scope of the present invention, is made a little using disclosed above technology contents
The equivalent variations of variation, modification and evolution is equivalent embodiment of the invention；Meanwhile all substantial technologicals according to the present invention
The variation, modification and evolution etc. of any equivalent variations to the above embodiments, still fall within technical solution of the present invention
Within protection scope.
Claims (10)
1. lithium battery diaphragm detection method, it is characterised in that the following steps are included:
Image preprocessing is filtered the interference signal in acquisition image using filtering algorithm；
Diaphragm area is detected, binary conversion treatment is carried out to the acquisition image, detects the diaphragm area in bianry image；
Defect area is extracted, the defects of diaphragm area region is extracted by gray threshold；
Defect recognition carries out signature analysis to the defect area, carries out defect knowledge to signature analysis result using sorting algorithm
Not.
2. lithium battery diaphragm detection method as described in claim 1, it is characterised in that: in described image pretreatment, in
Value filtering algorithm is filtered the interference signal in acquisition image.
3. lithium battery diaphragm detection method as described in claim 1, it is characterised in that: in the defect recognition, if detecting
Defect, then calculate defect area and defect area central point it is described acquisition image in line position set, column position, according to described
Area, line position are set, column position marks defect area on the acquisition image.
4. lithium battery diaphragm detection method as claimed in claim 3, it is characterised in that: in the defect recognition, to identifying
Defect type, the area, line position is set, column position is shown and is stored, generate storage file, and according to comprising the time and
The retrieval historical data instruction of file name information loads the storage file.
5. lithium battery diaphragm detection method as claimed in claim 3, it is characterised in that: further include defect mark, according to line position
It sets and calculates physical distance of the defect area central point on lithium battery diaphragm with the corresponding relationship of diaphragm length, concurrently deliver letters
Number control marking machine mark is carried out at the physical distance.
6. a kind of electronic equipment, characterized by comprising: processor；
Memory；And program, wherein described program is stored in the memory, and is configured to be held by processor
Row, described program include requiring method described in 1-5 any one for perform claim.
7. a kind of computer readable storage medium, is stored thereon with computer program, it is characterised in that: the computer program quilt
Processor executes the method as described in claim 1-5 any one.
8. lithium battery diaphragm detection system, it is characterised in that: including membrane apparatus, image collecting device, industrial personal computer, septal defect
Detection module；Lithium battery diaphragm be placed in the membrane apparatus unreel rod and winding rod between, it is described unreel rod and winding rod band
The lithium battery diaphragm continuous moving is moved, the membrane apparatus is connect with described image acquisition device, described image acquisition device
It is taken pictures by the pulse signal triggering of the membrane apparatus, acquires the image of the lithium battery diaphragm, described image acquisition device
It is connect with the industrial personal computer, the septal defect detection module is mounted in the industrial personal computer；Described image acquisition device is sent
Diaphragm image to the industrial personal computer, the septal defect detection module detects the diaphragm image septation defect, and described
Septal defect is labeled on diaphragm image.
9. lithium battery diaphragm detection system as claimed in claim 8, it is characterised in that: described image acquisition device includes linear array
Camera, camera lens, light source, camera capture card, the camera capture card are inserted in the industrial personal computer, and the camera lens is mounted on the line
On array camera, the line-scan digital camera and the light source are placed in the lithium battery diaphragm opposite sides, and the light source is for illuminating institute
Lithium battery diaphragm position to be detected is stated, the line-scan digital camera acquires the diaphragm image, the line-scan digital camera by the camera lens
It is connect by the camera capture card with the industrial personal computer.
10. lithium battery diaphragm detection system as claimed in claim 8, it is characterised in that: it further include marking machine, the marking machine
It is connect with the septal defect detection module, the septal defect detection module is set according to the line position of the diaphragm image and diaphragm
The corresponding relationship of length calculates physical distance of the septal defect on lithium battery diaphragm, and the physical distance is sent to
The marking machine, the marking machine is to progress mark at the corresponding lithium battery diaphragm of the physical distance.
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| CN201811010116.8A CN109360186A (en) | 2018-08-31 | 2018-08-31 | Lithium battery diaphragm detection method, electronic equipment, storage medium and system |
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| CN201811010116.8A CN109360186A (en) | 2018-08-31 | 2018-08-31 | Lithium battery diaphragm detection method, electronic equipment, storage medium and system |
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| CN110232385A (en) * | 2019-04-29 | 2019-09-13 | 广州超音速自动化科技股份有限公司 | Pole piece diaphragm bag seals quality detecting method, electronic equipment and storage medium |
| CN110909559A (en) * | 2019-11-01 | 2020-03-24 | 哈尔滨工大智慧工厂有限公司 | Lithium battery bar code identification system and method based on image processing |
| CN112710669A (en) * | 2020-12-09 | 2021-04-27 | 北方华锦化学工业股份有限公司 | Method for rapidly evaluating crystal points of hard elastic diaphragm of homo-polypropylene lithium battery |
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| CN113030093A (en) * | 2020-12-30 | 2021-06-25 | 凌云光技术股份有限公司 | Battery diaphragm surface defect detection method and system |
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Application publication date: 20190219 |