CN110441316B - Battery surface defect detection method and detection system - Google Patents
Battery surface defect detection method and detection system Download PDFInfo
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- CN110441316B CN110441316B CN201910752395.3A CN201910752395A CN110441316B CN 110441316 B CN110441316 B CN 110441316B CN 201910752395 A CN201910752395 A CN 201910752395A CN 110441316 B CN110441316 B CN 110441316B
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- G01N21/84—Systems specially adapted for particular applications
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- 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 provides a battery surface defect detection method and a detection system, and relates to the technical field of battery detection. The method comprises the following steps: the controller controls the plurality of light sources to irradiate the battery surface corresponding to each detection station, and controls the image acquisition equipment to acquire the image of the battery surface corresponding to each detection station, and the controller processes the battery surface image acquired by the image acquisition equipment through at least one detection station to obtain the surface defect information of at least one detection station in each visual detection system. The controller is used for controlling the image acquisition equipment to acquire the image of the surface of the battery, and the controller is used for processing the image of the surface of the battery to obtain the information of the surface defects of the battery, so that the accuracy of the detection result is improved, the waste of human resources is reduced, and the detection efficiency is improved.
Description
Technical Field
The invention relates to the technical field of battery detection, in particular to a battery surface defect detection method and a detection system.
Background
With the development of science and technology, batteries are widely used. In the packaging stage of the battery, because the manufacturing process is complicated, the battery surface has defects, and the defects cause the problems of the battery, such as the reduction of the service life, the short circuit of the battery, and the like, so that the detection of the defects on the battery surface is more and more necessary.
In the related art, defects on the surface of the battery mainly include scratches, pits, bumps, bulges, wrinkles and the like, and the defects on the surface of the battery are manually observed by naked eyes, so that the battery with the defects on the surface is selected.
However, in the related art, the defects on the surface of the battery are detected manually, which is prone to cause problems of missing detection and false detection, resulting in low accuracy of the detection result, and meanwhile, unnecessary human resources are wasted, and the detection efficiency is low.
Disclosure of Invention
The present invention aims to provide a method and a system for detecting defects on a battery surface, so as to solve the problems of missing detection and false detection easily caused by manual detection of defects on the battery surface in the related art, resulting in low accuracy of detection results, unnecessary human resources being wasted, and low detection efficiency.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical solutions:
in a first aspect, an embodiment of the present invention provides a method for detecting a battery surface defect, which is applied to a detection system, where the detection system includes: at least one vision inspection system, each said vision inspection system comprising: the detection device comprises a controller and at least one detection station, wherein each detection station comprises an image acquisition device and a plurality of light sources, and the light emitting surfaces of the plurality of light sources face the surface of a battery corresponding to each detection station; the controller is connected with the plurality of light sources and the image acquisition equipment of each detection station; the method comprises the following steps:
the controller controls the plurality of light sources to irradiate the surface of the battery corresponding to each detection station and controls the image acquisition equipment to acquire the image of the surface of the battery corresponding to each detection station;
the controller processes the battery surface image acquired by the image acquisition equipment of at least one detection station to obtain the surface defect information of at least one detection station in each visual detection system.
Further, at least one of the inspection stations comprises: a first inspection station, the plurality of light sources of the first inspection station comprising: each light source of the first light source group is positioned on a plane which is away from the surface of the first battery corresponding to the first detection station by a first preset distance, and the area of the surface of the first battery is larger than the areas of other surfaces of the battery;
the controller controls the light sources to irradiate the surface of the battery corresponding to each detection station, and controls the image acquisition equipment to acquire the image of the surface of the battery corresponding to each detection station, and the method comprises the following steps:
the controller controls each light source of the first light source group to irradiate the surface of the first battery, and controls the image acquisition equipment to acquire an image of the surface of the first battery to obtain a first image of the surface of the first battery;
correspondingly, the controller processes the battery surface image collected by the image collecting device to obtain the surface defect information of at least one detection station in each visual detection system, and the method comprises the following steps:
the controller processes the first image according to a preset first defect identification model, and determines first defect information of the surface of the first battery; the first defect identification model is a model obtained by training according to a preset first surface defect sample, and the surface defect information of at least one detection station comprises: first defect information of the first battery surface.
Further, the first surface defect sample is a dirty defect-like sample; the controller processes the first image according to a preset first defect identification model, and determines first defect information of the surface of the first battery, including:
and the controller processes the first image according to the first defect identification model, and determines the dirty defect information of the first battery surface, wherein the first defect information is the dirty defect information of the first battery surface.
Further, the plurality of light sources of the first inspection station further comprises: each light source of the second light source group is positioned on a plane which is away from the surface of the battery corresponding to the detection station by a second preset distance, and the second preset distance is greater than the first preset distance; the projection of each light source of the second light source on the surface of the battery is superposed with the projection of the corresponding light source of the first light source group on the surface of the battery;
the controller controls the light sources to irradiate the surface of the battery corresponding to each detection station, and controls the image acquisition equipment to acquire the image of the surface of the battery corresponding to each detection station, and the method comprises the following steps:
the controller controls each light source in the first light source group and the second light source group to sequentially irradiate the surface of the first battery, and controls the image acquisition equipment to acquire images to obtain a second image of the surface of the first battery;
correspondingly, the controller processes the battery surface image collected by the image collecting device to obtain the surface defect information of at least one detection station in each visual detection system, and the method comprises the following steps:
the controller processes the second image according to a preset second defect identification model to determine second defect information of the surface of the first battery; the second defect recognition model is a model obtained by training according to a preset second surface defect sample, and the surface defect information of at least one detection station further comprises: second defect information of the first battery surface.
Further, the second surface defect sample is a depth type defect sample; the controller processes the second image according to a preset second defect identification model, and determines second defect information of the surface of the first battery, including:
and the controller processes the second image according to the second defect identification model to determine depth type defect information of the surface of the first battery, wherein the second defect information is the depth type defect information of the surface of the first battery.
Further, at least one of the inspection stations comprises: a second inspection station, the plurality of light sources of the second inspection station comprising: each light source of the third light source group is positioned on a plane which is away from the surface of a second battery corresponding to the second detection station by a third preset distance, and the surface of the second battery is any one of the surfaces of the battery, wherein the area of the surface of the second battery is smaller than that of the surface of the first battery;
the controller controls the light sources to irradiate the surface of the battery corresponding to each detection station, and controls the image acquisition equipment to acquire the image of the surface of the battery corresponding to each detection station, and the method comprises the following steps:
the controller controls each light source of the third light source group to irradiate the surface of the second battery, and controls the image acquisition equipment to sequentially acquire images of the surface of the second battery at least one angle to obtain at least one image of the surface of the second battery;
correspondingly, the controller processes the battery surface image collected by the image collecting device to obtain the surface defect information detected by each visual detection system, and the method comprises the following steps:
the controller sequentially processes the at least one image according to a preset third defect identification model to determine at least one type of defect information of the surface of the second battery; the third defect identification model is obtained by training according to at least one type of preset surface defect sample, and the surface defect information of at least one detection station further comprises: at least one type of defect information of the second battery surface.
Further, the detection system further comprises: a master control device; the master control device is connected with the controller of each visual detection system;
the method further comprises the following steps:
the controller sends surface defect information of at least one inspection station of each visual inspection system to the master control equipment.
In a second aspect, an embodiment of the present invention further provides a detection system, where the detection system includes: at least one vision inspection system, each said vision inspection system comprising: the detection device comprises a controller and at least one detection station, wherein each detection station comprises an image acquisition device and a plurality of light sources, and the light emitting surfaces of the plurality of light sources face the surface of a battery corresponding to each detection station; the controller is connected with the plurality of light sources and the image acquisition equipment of each detection station.
Further, at least one of the inspection stations comprises: a first inspection station, the plurality of light sources of the first inspection station comprising: each light source of the first light source group is located on a plane which is away from the surface of the first battery corresponding to the first detection station by a first preset distance, and the area of the surface of the first battery is larger than the areas of other surfaces of the battery.
Further, the plurality of light sources of the first inspection station further comprises: each light source of the second light source group is positioned on a plane which is away from the surface of the battery corresponding to the detection station by a second preset distance, and the second preset distance is greater than the first preset distance; the projection of each light source of the second light source on the surface of the battery is coincident with the projection of the corresponding light source of the first light source group on the surface of the battery.
Further, at least one of the inspection stations comprises: a second inspection station, the plurality of light sources of the second inspection station comprising: and each light source of the third light source group is positioned on a plane which is away from the surface of the second battery corresponding to the second detection station by a third preset distance, and the surface of the second battery is any one of the surfaces of the battery, wherein the area of the surface of the second battery is smaller than that of the surface of the first battery.
The invention has the beneficial effects that: the embodiment of the invention provides a battery surface defect detection method and a battery surface defect detection system. The controller is used for controlling the image acquisition equipment to acquire the image of the surface of the battery, and the controller is used for processing the image of the surface of the battery to obtain the information of the surface defects of the battery, so that the accuracy of the detection result is improved, the waste of human resources is reduced, and the detection efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of a detection system according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a method for detecting surface defects of a battery according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart illustrating a method for detecting surface defects of a battery according to an embodiment of the present invention;
FIG. 4a is a schematic diagram of a light source and a battery according to an embodiment of the present invention;
FIG. 4b is a schematic diagram of a light source and a battery according to an embodiment of the present invention;
FIG. 4c is a schematic diagram of a light source and a battery according to an embodiment of the present invention;
FIG. 5 is a schematic flow chart illustrating a method for detecting surface defects of a battery according to an embodiment of the present invention;
FIG. 6a is a schematic diagram of a light source and a battery according to an embodiment of the present invention;
FIG. 6b is a schematic diagram of a structure of a light source and a battery according to an embodiment of the present invention;
FIG. 7 is a schematic flow chart illustrating a method for detecting surface defects of a battery according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a detection system according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of a control device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
Fig. 1 is a schematic structural diagram of a detection system according to an embodiment of the present invention, as shown in fig. 1, the detection system includes: at least one vision inspection system 100, each vision inspection system comprising: the battery detection device comprises a controller 01 and at least one detection station 02, wherein each detection station comprises an image acquisition device 03 and a plurality of light sources 04, the light emitting surfaces of the light sources 04 face the corresponding battery surface of each detection station 02, and the controller 01 is connected with the light sources 04 and the image acquisition device 03 of each detection station.
In fig. 1, a single visual inspection system 100 including one inspection station 02 is illustrated as an example, it should be noted that a plurality of visual inspection systems 100 in the inspection system provided in the embodiment of the present invention may be provided, and each visual inspection system 100 may also include a plurality of inspection stations 02. The application does not specifically limit the number of visual inspection systems and inspection stations.
The image capturing device 03 may be any device having an image capturing function, such as a camera or a video camera. In each detection station 02, the image acquisition device 03 is located at a position away from the battery surface corresponding to the detection station 02 by a preset height, if the image acquisition device acquires the battery surface with the largest area, the preset height range can be 300 mm to 400 mm, and if the image acquisition device acquires the battery surface with the largest area, the preset height range can be 270 mm to 380 mm.
In the embodiment of the invention, when the visual inspection system 100 inspects the defects on the surface of the battery, the controller 01 controls the plurality of light sources 04 to irradiate the surface of the battery corresponding to each inspection station 02, and controls the image acquisition device 03 to acquire the image of the surface of the battery corresponding to each inspection station 02, and the controller 01 processes the image of the surface of the battery acquired by the image acquisition device 03 to obtain the surface defect information of at least one inspection station 002 in each visual inspection system 100, so that the defect information of all the surfaces of the battery can be obtained, and the inspection of the surface defect information of the battery is completed.
Fig. 2 is a schematic flow chart of a method for detecting a battery surface defect according to an embodiment of the present invention, as shown in fig. 2, the method may include:
s101, the controller controls the plurality of light sources to irradiate the surface of the battery corresponding to each detection station, and controls the image acquisition equipment to acquire the image of the surface of the battery corresponding to each detection station.
The surface of the battery corresponding to each detection station is the surface of the battery detected by each detection station, different detection stations can detect different surfaces of the battery, and each detection station is provided with a light source. The controller can control the light source of each detection station to irradiate according to the battery surface corresponding to each detection station.
In a possible implementation manner, when the surface of the battery corresponding to the detection station is a plane and the area is greater than or equal to the preset area, the controller may sequentially control the plurality of light sources to irradiate the surface of the battery corresponding to the detection station, and under irradiation of different light sources, control the image acquisition device to acquire a plurality of images of the surface of the battery.
In another possible implementation manner, when the surface of the battery corresponding to the detection station is an arc surface, that is, has a certain radian, and the area is smaller than the preset area, the controller may control the battery to rotate through the mechanical gripper, so as to change the relative position between the surface of the battery corresponding to the detection station and the light source of the detection station, and also may control the plurality of light sources to irradiate information on the surface of the battery during the rotation of the battery, and control the image acquisition device to acquire images of the surface of the battery, thereby obtaining a plurality of images of the surface of the battery at different angles.
It should be noted that the light source in the embodiment of the present invention may be a light bar, and of course, other types of light sources may also be used, which are not described herein again.
S102, the controller processes the battery surface image acquired by the image acquisition equipment of at least one detection station to obtain surface defect information of at least one detection station in each visual detection system.
Wherein, the battery surface image that the image acquisition equipment of every detection station gathered includes: the image of the battery surface corresponding to the detection station is an image of the battery surface if the battery surface corresponding to the detection station is the battery surface; if the battery surface corresponding to the detection station is a plurality of battery surfaces, the battery surface image comprises images of the plurality of battery surfaces.
In a possible implementation manner, the image acquisition device of each detection station may send the battery surface image corresponding to the detection station to the controller, the controller may receive the battery surface image, the controller may preset a defect identification model of the battery surface corresponding to the detection station, and the controller may process the battery surface image corresponding to the detection station through the defect identification model, so that the battery surface defect information corresponding to the detection station may be obtained.
In the embodiment of the present invention, the defect identification model may be a deep learning model, and may also be other types of defect identification models, which is not specifically limited in the embodiment of the present invention.
In a possible implementation manner, the controller may obtain a sample image of the battery surface corresponding to each detection station, determine defect information corresponding to the sample image in response to a user operation, and perform training according to a preset algorithm to obtain a defect identification model of the battery surface corresponding to the detection station.
It should be noted that each visual inspection system may have one inspection station, two inspection stations, or multiple inspection stations, which is not limited in this embodiment of the present invention. Of course, the number of visual inspection systems is not limited in the embodiments of the present invention.
In summary, the embodiment of the present invention provides a method for detecting a surface defect of a battery, in which a controller controls a plurality of light sources to illuminate a surface of a battery corresponding to each detection station, and controls an image acquisition device to acquire an image of the surface of the battery corresponding to each detection station, and the controller processes the image of the surface of the battery acquired by the image acquisition device to obtain surface defect information of at least one detection station in each visual detection system. The controller is used for controlling the image acquisition equipment to acquire the image of the surface of the battery, and the controller is used for processing the image of the surface of the battery to obtain the information of the surface defects of the battery, so that the accuracy of the detection result is improved, the waste of human resources is reduced, and the detection efficiency is improved.
Optionally, at least one of the inspection stations includes: a first inspection station, the plurality of light sources of the first inspection station comprising: each light source of the first light source group is located on a plane which is away from the surface of the first battery corresponding to the first detection station by a first preset distance, and the area of the surface of the first battery is larger than the area of other surfaces of the battery. The first inspection station is used for inspecting a surface of a first battery.
In the embodiment of the present invention, the first light source group may include four light sources respectively located around the battery, and a first preset distance between a plane formed by the four light sources and the surface of the first battery may be set according to an actual requirement, for example, a value of the first preset distance may be about 50 mm.
In addition, when the battery has a rectangular shape, the battery has a certain length, width and height, and the first battery surface may be a battery surface having the largest area, for example, an upper surface (front surface) and a lower surface (back surface) of the battery.
Fig. 3 is a schematic flow chart of a method for detecting defects on a surface of a battery according to an embodiment of the present invention, as shown in fig. 3, in S101, the controlling a plurality of light sources to irradiate a surface of a battery corresponding to each detection station by a controller, and controlling an image acquisition device to acquire an image of the surface of the battery corresponding to each detection station may include:
s201, the controller controls each light source of the first light source group to irradiate the surface of the first battery, and controls the image acquisition equipment to acquire images of the surface of the first battery, so that a first image of the surface of the first battery is obtained.
The first battery surface may be a surface with the largest area, or a surface with the largest area, and the first battery surface may be a plane.
In a possible implementation manner, the controller may send a working instruction to the first light source group, each light source in the first light source group may illuminate the surface of the first battery according to the received working instruction, and the controller further sends a collecting instruction to the image collecting device, and the image collecting device may collect the first image on the surface of the first battery according to the received collecting instruction.
It should be noted that the first image may be an image of the surface of the first battery captured by the image capturing device when the light sources in the first light source group illuminate the surface of the first battery simultaneously.
As shown in fig. 3, in the step S102, the processing, performed by the controller according to the battery surface image acquired by the image acquisition device, to obtain the surface defect information of at least one inspection station in each visual inspection system may include:
s202, the controller processes the first image according to a preset first defect identification model, and determines first defect information of the surface of the first battery.
The first defect identification model is a model obtained by training according to a preset first surface defect sample, and the surface defect information of at least one detection station comprises: first defect information of a first battery surface.
In the embodiment of the present invention, the first defect identification model may be a deep learning model, and the controller may obtain the first surface defect sample, determine the defect information corresponding to the first surface defect sample in response to the operation of the user, and perform training according to a preset algorithm to obtain the first defect identification model.
For example, if the detection system comprises: the system may include a first vision inspection system that may have a controller and a first inspection station, and a second vision inspection system that may have a controller and a first inspection station. In the first visual detection system, the surface of the battery corresponding to the first detection station can be the front side of the battery, and in the second visual detection system, the surface of the battery corresponding to the first detection station is the back side of the battery. The controller in the first visual inspection system can acquire a first image of the front side of the battery, which is the battery surface corresponding to the first inspection station, and process the first image of the front side of the battery according to a preset first front side defect identification model to obtain first defect information of the front side of the battery. The controller in the first visual inspection system can acquire a first image of the surface of the battery corresponding to the first inspection station, namely the reverse side of the battery, and process the first image of the reverse side of the battery according to a preset first reverse side defect identification model to obtain first defect information of the reverse side of the battery.
Of course, one visual inspection system may also include two first inspection stations, where the two first inspection stations are respectively used to inspect the front side and the back side of the battery, and a controller of the visual inspection system respectively processes the acquired first image of the front side and the acquired first image of the back side of the battery to obtain first defect information of the front side of the battery and first defect information of the back side of the battery.
Optionally, the step S202, the processing the first image by the controller according to a preset first defect identification model to determine the first defect information of the first battery surface may include: and the controller processes the first image according to the first defect identification model and determines the dirty defect information of the surface of the first battery.
The first defect information is stain defect information on the surface of the first battery, correspondingly, the first defect identification model can identify the stain defect information, and the first defect identification model can be a deep learning model.
In the embodiment of the present invention, the stain defect information may be defect information that deformation of the battery does not occur, such as stains, color changes, and light scratches existing on the surface of the battery.
Optionally, the plurality of light sources of the first inspection station further includes: each light source of the second light source group is positioned on a plane which is a second preset distance away from the surface of the battery corresponding to the detection station, and the second preset distance is larger than the first preset distance; the projection of each light source of the second light source on the surface of the battery is coincident with the projection of the corresponding light source of the first light source group on the surface of the battery.
Fig. 4a is a schematic structural diagram of a light source and a battery according to an embodiment of the present invention, fig. 4b is a schematic structural diagram of a light source and a battery according to an embodiment of the present invention, and fig. 4c is a schematic structural diagram of a light source and a battery according to an embodiment of the present invention, in which fig. 4a is a front view, fig. 4b is a left side view, and fig. 4c is a top view.
As shown in fig. 4a, the first preset distance d1 may be 50 mm, the second preset distance d2 may be 80 mm, and a distance between the image capture device of the first detection station and the surface of the battery may range from 300 mm to 400 mm, and optionally may be 350 mm.
As shown in fig. 4a, 4b and 4c, first light source group 11 includes a light source 1101, b light source 1102, c light source 1103 and d light source 1104, second light source group 12 includes e light source 1201 and f light source 1202, battery 13 includes first battery surface 1301, when the battery is in the shape of a rectangular parallelepiped, the battery surface with the largest area has a long side and a short side, the second light source may include two light sources, as shown in fig. 4a, the projection of e light source 1201 coincides with the area where b light source 1102 is located, and the projection of f light source 1202 coincides with the area where d light source 1104 is located.
Optionally, fig. 5 is a schematic flow chart of a method for detecting a defect on a surface of a battery according to an embodiment of the present invention, as shown in fig. 5, in S101, the controlling, by the controller, the plurality of light sources to irradiate the surface of the battery corresponding to each detection station, and the controlling, by the image acquisition device, to acquire an image of the surface of the battery corresponding to each detection station may include:
s301, the controller controls the light sources in the first light source group and the second light source group to sequentially irradiate the surface of the first battery, and controls the image acquisition equipment to acquire images to obtain a second image of the surface of the first battery.
In a possible implementation manner, the controller may control the light source a and the light source e to illuminate the first battery surface, control the image acquisition device to acquire the image to obtain the first sub-image, control the light source b to illuminate the first battery surface, control the image acquisition device to acquire the image to obtain the second sub-image, control the light source c and the light source f to illuminate the first battery surface, control the image acquisition device to acquire the image to obtain the third sub-image, control the light source d to illuminate the first battery surface, control the image acquisition device to acquire the image to obtain the fourth sub-image, and synthesize the first sub-image, the second sub-image, the third sub-image, and the fourth sub-image to obtain the second image of the first battery surface.
Optionally, as shown in fig. 5, in the step S102, the processing, by the controller, according to the battery surface image acquired by the image acquisition device to obtain the surface defect information of at least one inspection station in each visual inspection system may include:
s302, the controller processes the second image according to a preset second defect identification model, and determines second defect information of the surface of the first battery.
Wherein, the second defect recognition model is a model obtained by training according to a preset second surface defect sample, and the surface defect information of at least one detection station further comprises: second defect information of the first battery surface.
In the embodiment of the present invention, the second defect identification model may be a deep learning model, and the controller may obtain the second surface defect sample, determine the defect information corresponding to the second surface defect sample in response to the operation of the user, and perform training according to a preset algorithm to obtain the second defect identification model.
For example, if the detection system comprises: the system may include a first vision inspection system that may have a controller and a first inspection station, and a second vision inspection system that may have a controller and a first inspection station. In the first visual detection system, the surface of the battery corresponding to the first detection station can be the front side of the battery, and in the second visual detection system, the surface of the battery corresponding to the first detection station is the back side of the battery. The controller in the first visual inspection system can acquire a second image of the battery surface corresponding to the first inspection station, namely the front side of the battery, and process the second image of the front side of the battery according to a preset second front side defect identification model to obtain second defect information of the front side of the battery. The controller in the first visual inspection system can acquire a second image of the surface of the battery corresponding to the first inspection station, namely the reverse side of the battery, and process the second image of the reverse side of the battery according to a preset second reverse side defect identification model to obtain second defect information of the reverse side of the battery.
Of course, a vision inspection system may also include two inspection stations, the front second image and the back second image are respectively inspected by the two inspection stations, and the front second image and the back second image are processed by a controller to obtain the second defect information of the front side and the second defect information of the back side of the battery.
Optionally, the step S302 of processing the second image by the controller according to a preset second defect recognition model to determine second defect information of the first battery surface may include: and the controller processes the second image according to the second defect identification model to determine the depth type defect information of the surface of the first battery, wherein the second defect information is the depth type defect information of the surface of the first battery.
The second defect information is depth type defect information of the surface of the first battery, correspondingly, the second defect identification model can identify the depth type defect information, and the second defect identification model can be a deep learning model.
In the embodiment of the present invention, the depth-type defect information may be defect information of battery deformation, such as scratches, pits, bumps, bulges, or wrinkles existing on the surface of the battery.
Optionally, the at least one inspection station comprises: a second inspection station, the plurality of light sources of the second inspection station comprising: and each light source of the third light source group is positioned on a plane which is away from the surface of the second battery corresponding to the second detection station by a third preset distance, and the surface of the second battery is any one of the surfaces of the batteries, wherein the area of the surface of the second battery is smaller than that of the surface of the first battery. The second inspection station is used for inspecting the surface of the second battery.
Fig. 6a is a schematic structural diagram of a position of a light source and a battery according to an embodiment of the present invention, fig. 6b is a schematic structural diagram of a position of a light source and a battery according to an embodiment of the present invention, fig. 6a is a front view, fig. 6b is a top view, a third light source group 21 may include four light sources respectively located around a battery 22, and a third preset distance d3 between a plane formed by the four light sources and a second battery surface 2201 may be set according to actual requirements, for example, a value of the third preset distance d3 may range from 20 mm to 120 mm, preferably 70 mm, and a distance between an image capture device 23 in the second detection station and the second battery surface may range from 270 mm to 380 mm, preferably 330 mm.
In addition, when the battery is rectangular in shape, the battery has a certain length, width and height, and the second battery surface is a surface having a non-largest area among the battery surfaces, for example, a side surface of the battery.
Optionally, fig. 7 is a schematic flow chart of a method for detecting a defect on a surface of a battery according to an embodiment of the present invention, as shown in fig. 7, in S101, the controlling, by the controller, the plurality of light sources to irradiate the surface of the battery corresponding to each detection station, and the controlling, by the image acquisition device, to acquire an image of the surface of the battery corresponding to each detection station may include:
s401, the controller controls each light source of the third light source group to irradiate the surface of the second battery, and controls the image acquisition equipment to sequentially acquire images of the surface of the second battery at least one angle to obtain at least one image of the surface of the second battery.
The second battery surface may be a non-largest surface, i.e. any one of the side surfaces of the battery.
In a possible embodiment, the controller may send a working instruction to the third light source group, each light source in the third light source may illuminate the surface of the second battery according to the received working instruction, the controller controls an angle of the surface of the second battery relative to the image capturing device through the mechanical gripper, and the controller further sends a capturing instruction to the image capturing device, and the image capturing device may receive the capturing instruction to capture at least one image of the surface of the second battery at different angles.
In the embodiment of the invention, the radian exists on the surface of the second battery, and the controller controls the angle of the surface of the second battery relative to the image acquisition equipment through the mechanical gripper, so that the problem of dead angles existing when the surface of the second battery is shot can be avoided.
It should be noted that the at least one image of the second battery surface may be at least one image captured by the image capturing device when the angle of the second battery surface relative to the image capturing device changes when each light source in the third light source group illuminates the first battery surface.
As shown in fig. 7, in the step S102, the processing, performed by the controller according to the battery surface image acquired by the image acquisition device, to obtain the surface defect information of at least one inspection station in each visual inspection system may include:
s402, the controller sequentially processes at least one image according to a preset third defect identification model, and at least one type of defect information of the surface of the second battery is determined.
The third defect identification model is a model obtained by training at least one type of preset surface defect sample, and the surface defect information of at least one detection station further comprises: at least one type of defect information of the second battery surface.
The at least one type of defect information of the second battery surface may include at least one type of information of: the second battery surface is bright spot information, deformation information, convex information at the corner position, and deformation information generated by pressure.
In the embodiment of the present invention, the third defect identification model may be a deep learning model, and the controller may obtain at least one type of surface defect sample, determine defect information corresponding to the at least one type of surface defect sample in response to a user operation, and perform training according to a preset algorithm to obtain the third defect identification model.
It should be noted that, for each second battery surface detected by the second detection station, there is a corresponding third defect identification model, and each third defect identification model is composed of a plurality of sub-defect identification models, and the controller may detect, through each sub-defect identification model, an image of the second battery surface taken at a corresponding angle.
For example, a battery having four second battery faces A, B, C and D, provided with two visual inspection systems E and F, E having a second inspection station E1, controller E2; f has a second inspection station F1, controller F2; e1 may detect at least one image of a and B, respectively, and process it through E2 to obtain at least one type of defect information of a and B, and F1 may detect at least one image of C and D, respectively, and process it through F2 to obtain at least one type of defect information of C and D.
Of course, for the four second battery surfaces A, B, C and D of the battery, four visual detection systems may be provided, each visual detection system has one detection station, or one detection system may be provided, and the detection system has four detection stations, which is not particularly limited in the embodiment of the present invention.
Optionally, the controller sends the surface defect information of at least one inspection station of each vision inspection system to the master control device.
In a possible implementation manner, the main control device may determine, according to the surface defect information of each visual inspection system, a defect area of the surface of the battery acquired by each visual inspection system, and if the defect area of the surface of the battery acquired by each visual inspection system is smaller than a preset threshold, determine that the battery is qualified; on the contrary, if the defect area of one battery surface collected by one visual detection system in at least one visual detection system is larger than or equal to the preset threshold value, the battery is determined to be unqualified.
Of course, a visual inspection system may also be provided to determine the defect area of each battery surface, and if the defect area of each battery surface is smaller than a preset threshold, the battery surface is qualified; otherwise, if the defect area of one battery surface is larger than or equal to the preset threshold, determining that the battery surface is unqualified, sending information whether the battery surface is qualified to the main control equipment by the visual detection system, if the main control equipment detects that the qualified number of the battery surface is larger than the preset threshold, determining that the battery is qualified, and if the main control equipment detects that the qualified number of the battery surface is not larger than the preset threshold, determining that the battery is unqualified.
Fig. 8 is a schematic structural diagram of a detection system according to an embodiment of the present invention, and as shown in fig. 8, the detection system may include a visual detection system a, a visual detection system b, and a master control device c.
The vision inspection system a can comprise a controller a, an inspection station a1 and an inspection station a2, wherein the inspection station a1 comprises an image acquisition device a11 and a plurality of light sources a12, the inspection station a2 comprises an image acquisition device a21 and a plurality of light sources a22, and the controller a is connected with the plurality of light sources a12 and the image acquisition device a11 of each inspection station.
The vision inspection system b may include a controller b, an inspection station b1 and an inspection station b2, the inspection station b1 includes an image capture device b11 and a plurality of light sources b12, the inspection station b2 includes an image capture device b21 and a plurality of light sources b22, and the controller b is associated with the plurality of light sources b12 and the image capture device b11 of each inspection station.
In one possible embodiment, at inspection station a1, controller a controls multiple light sources a12 to illuminate the front surface of the battery simultaneously and controls image acquisition device a11 to acquire images of the front surface, and controller a processes the front surface images to obtain information about the front surface defects such as dirt. The controller a controls the plurality of light sources a12 to sequentially irradiate the front surface of the battery, controls the image acquisition device a11 to acquire images of the front surface, and processes the images of the front surface to obtain depth defect information of the front surface.
The mechanical gripper moves the battery to the detection station a2, the controller a controls the light source a22 to irradiate the side of the battery at the same time, the mechanical gripper adjusts the side angle of the battery, and controls the image acquisition equipment a21 to acquire images of two sides, and the controller a processes the images of the two sides to obtain corresponding defect information of the two sides.
The mechanical gripper moves the battery to a detection station b1, the controller b controls the light sources b12 to irradiate the back side of the battery at the same time, and controls the image acquisition equipment b11 to acquire images of the back side, and the controller b processes the images of the back side to obtain the information of the dirt defects of the back side. The controller b controls the plurality of light sources b12 to sequentially irradiate the back surface of the battery, controls the image acquisition device b11 to acquire an image of the back surface, and processes the image of the back surface to obtain depth defect information of the back surface.
The mechanical gripper moves the battery to the detection station b2, the controller b controls the light source b22 to irradiate the side face of the battery at the same time, the mechanical rotary gripper adjusts the side face angle of the battery, and controls the image acquisition equipment b21 to acquire images of the other two side faces, and the controller b processes the images of the other two side faces to obtain corresponding defect information of the other two side faces.
The vision inspection system a and the vision inspection system b may transmit the defect information of the respective surfaces to the main control device c.
An embodiment of the present invention further provides a detection system, where the detection system includes: at least one vision inspection system, each vision inspection system comprising: the detection device comprises a controller and at least one detection station, wherein each detection station comprises an image acquisition device and a plurality of light sources, and the light emitting surfaces of the plurality of light sources face the surface of a battery corresponding to each detection station; the controller is connected with the plurality of light sources and the image acquisition equipment of each detection station.
Optionally, the at least one inspection station comprises: a first inspection station, the plurality of light sources of the first inspection station comprising: each light source of the first light source group is located on a plane which is away from the surface of the first battery corresponding to the first detection station by a first preset distance, and the area of the surface of the first battery is larger than the area of other surfaces of the battery.
Optionally, the plurality of light sources of the first inspection station further includes: each light source of the second light source group is positioned on a plane which is a second preset distance away from the surface of the battery corresponding to the detection station, and the second preset distance is larger than the first preset distance; the projection of each light source of the second light source on the surface of the battery is coincident with the projection of the corresponding light source of the first light source group on the surface of the battery.
Optionally, the at least one inspection station comprises: a second inspection station, the plurality of light sources of the second inspection station comprising: and each light source of the third light source group is positioned on a plane which is away from the surface of the second battery corresponding to the second detection station by a third preset distance, and the surface of the second battery is any one of the surfaces of the batteries, wherein the area of the surface of the second battery is smaller than that of the surface of the first battery.
The system is used for executing the method provided by the foregoing embodiment, and the implementation principle and technical effect are similar, which are not described herein again.
These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Fig. 9 is a schematic structural diagram of a control device according to an embodiment of the present invention, where the control device is the controller 01 in the visual inspection system in the inspection system shown in fig. 1.
The device includes: a processor 801 and a memory 802.
The memory 802 is used for storing programs, and the processor 801 calls the programs stored in the memory 802 to execute the above-mentioned method embodiments. The specific implementation and technical effects are similar, and are not described herein again.
Optionally, the invention also provides a program product, for example a computer-readable storage medium, comprising a program which, when being executed by a processor, is adapted to carry out the above-mentioned method embodiments.
In the embodiments provided in the present invention, it should be understood that the disclosed system and method can be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, systems or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Claims (6)
1. A battery surface defect detection method is applied to a detection system, and the detection system comprises: at least one vision inspection system, each said vision inspection system comprising: the detection device comprises a controller and at least one detection station, wherein each detection station comprises an image acquisition device and a plurality of light sources, and the light emitting surfaces of the plurality of light sources face the surface of a battery corresponding to each detection station; the controller is connected with the plurality of light sources and the image acquisition equipment of each detection station; the method comprises the following steps:
the controller controls the plurality of light sources to irradiate the surface of the battery corresponding to each detection station and controls the image acquisition equipment to acquire the image of the surface of the battery corresponding to each detection station;
the controller processes the battery surface image acquired by the image acquisition equipment of at least one detection station to obtain surface defect information of at least one detection station in each visual detection system;
wherein at least one of the inspection stations comprises: a first inspection station, the plurality of light sources of the first inspection station comprising: each light source of the first light source group is positioned on a plane which is away from the surface of the first battery corresponding to the first detection station by a first preset distance, and the area of the surface of the first battery is larger than the areas of other surfaces of the battery;
the controller controls the light sources to irradiate the surface of the battery corresponding to each detection station, and controls the image acquisition equipment to acquire the image of the surface of the battery corresponding to each detection station, and the method comprises the following steps:
the controller controls each light source of the first light source group to irradiate the surface of the first battery, and controls the image acquisition equipment to acquire an image of the surface of the first battery to obtain a first image of the surface of the first battery;
correspondingly, the controller processes the battery surface image collected by the image collecting device to obtain the surface defect information of at least one detection station in each visual detection system, and the method comprises the following steps:
the controller processes the first image according to a preset first defect identification model, and determines first defect information of the surface of the first battery; the first defect identification model is a model obtained by training according to a preset first surface defect sample, and the surface defect information of at least one detection station comprises: first defect information of the first battery surface;
the plurality of light sources of the first inspection station further comprises: each light source of the second light source group is positioned on a plane which is away from the surface of the battery corresponding to the detection station by a second preset distance, and the second preset distance is greater than the first preset distance; the projection of each light source of the second light source on the surface of the battery is superposed with the projection of the corresponding light source of the first light source group on the surface of the battery;
the controller controls the light sources to irradiate the surface of the battery corresponding to each detection station, and controls the image acquisition equipment to acquire the image of the surface of the battery corresponding to each detection station, and the method comprises the following steps:
the controller controls each light source in the first light source group and the second light source group to sequentially irradiate the surface of the first battery, and controls the image acquisition equipment to acquire images to obtain a second image of the surface of the first battery;
correspondingly, the controller processes the battery surface image collected by the image collecting device to obtain the surface defect information of at least one detection station in each visual detection system, and the method comprises the following steps:
the controller processes the second image according to a preset second defect identification model to determine second defect information of the surface of the first battery; the second defect recognition model is a model obtained by training according to a preset second surface defect sample, and the surface defect information of at least one detection station further comprises: second defect information of the first battery surface.
2. The method of claim 1, wherein the first surface defect sample is a smudge-like defect sample; the controller processes the first image according to a preset first defect identification model, and determines first defect information of the surface of the first battery, including:
and the controller processes the first image according to the first defect identification model, and determines the dirty defect information of the first battery surface, wherein the first defect information is the dirty defect information of the first battery surface.
3. The method of claim 1, wherein the second surface defect sample is a depth-type defect sample; the controller processes the second image according to a preset second defect identification model, and determines second defect information of the surface of the first battery, including:
and the controller processes the second image according to the second defect identification model to determine depth type defect information of the surface of the first battery, wherein the second defect information is the depth type defect information of the surface of the first battery.
4. The method of claim 1, wherein at least one of the inspection stations comprises: a second inspection station, the plurality of light sources of the second inspection station comprising: each light source of the third light source group is positioned on a plane which is away from the surface of a second battery corresponding to the second detection station by a third preset distance, and the surface of the second battery is any one of the surfaces of the battery, wherein the area of the surface of the second battery is smaller than that of the surface of the first battery;
the controller controls the light sources to irradiate the surface of the battery corresponding to each detection station, and controls the image acquisition equipment to acquire the image of the surface of the battery corresponding to each detection station, and the method comprises the following steps:
the controller controls each light source of the third light source group to irradiate the surface of the second battery, and controls the image acquisition equipment to sequentially acquire images of the surface of the second battery at least one angle to obtain at least one image of the surface of the second battery;
correspondingly, the controller processes the battery surface image collected by the image collecting device to obtain the surface defect information detected by each visual detection system, and the method comprises the following steps:
the controller sequentially processes the at least one image according to a preset third defect identification model to determine at least one type of defect information of the surface of the second battery; the third defect identification model is obtained by training according to at least one type of preset surface defect sample, and the surface defect information of at least one detection station further comprises: at least one type of defect information of the second battery surface.
5. The method of any one of claims 1-4, wherein the detection system further comprises: a master control device; the master control device is connected with the controller of each visual detection system;
the method further comprises the following steps:
the controller sends surface defect information of at least one inspection station of each visual inspection system to the master control equipment.
6. A detection system, characterized in that the detection system comprises: at least one vision inspection system, each said vision inspection system comprising: the detection device comprises a controller and at least one detection station, wherein each detection station comprises an image acquisition device and a plurality of light sources, and the light emitting surfaces of the plurality of light sources face the surface of a battery corresponding to each detection station; the controller is connected with the plurality of light sources and the image acquisition equipment of each detection station;
wherein at least one of the inspection stations comprises: a first inspection station, the plurality of light sources of the first inspection station comprising: each light source of the first light source group is positioned on a plane which is away from the surface of the first battery corresponding to the first detection station by a first preset distance, and the area of the surface of the first battery is larger than the areas of other surfaces of the battery;
the controller controls the light sources to irradiate the surface of the battery corresponding to each detection station, and controls the image acquisition equipment to acquire the image of the surface of the battery corresponding to each detection station, and the method comprises the following steps:
the controller controls each light source of the first light source group to irradiate the surface of the first battery, and controls the image acquisition equipment to acquire an image of the surface of the first battery to obtain a first image of the surface of the first battery;
correspondingly, the controller processes the battery surface image collected by the image collecting device to obtain the surface defect information of at least one detection station in each visual detection system, and the method comprises the following steps:
the controller processes the first image according to a preset first defect identification model, and determines first defect information of the surface of the first battery; the first defect identification model is a model obtained by training according to a preset first surface defect sample, and the surface defect information of at least one detection station comprises: first defect information of the first battery surface;
the plurality of light sources of the first inspection station further comprises: each light source of the second light source group is positioned on a plane which is away from the surface of the battery corresponding to the detection station by a second preset distance, and the second preset distance is greater than the first preset distance; the projection of each light source of the second light source on the surface of the battery is superposed with the projection of the corresponding light source of the first light source group on the surface of the battery;
the controller controls the light sources to irradiate the surface of the battery corresponding to each detection station, and controls the image acquisition equipment to acquire the image of the surface of the battery corresponding to each detection station, and the method comprises the following steps:
the controller controls each light source in the first light source group and the second light source group to sequentially irradiate the surface of the first battery, and controls the image acquisition equipment to acquire images to obtain a second image of the surface of the first battery;
correspondingly, the controller processes the battery surface image collected by the image collecting device to obtain the surface defect information of at least one detection station in each visual detection system, and the method comprises the following steps:
the controller processes the second image according to a preset second defect identification model to determine second defect information of the surface of the first battery; the second defect recognition model is a model obtained by training according to a preset second surface defect sample, and the surface defect information of at least one detection station further comprises: second defect information of the first battery surface.
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| CN112927190A (en) * | 2021-01-29 | 2021-06-08 | 东莞市三姆森光电科技有限公司 | Type-C multi-station multi-defect unified measurement system based on deep learning |
| CN113295697A (en) * | 2021-04-14 | 2021-08-24 | 蔚来汽车科技(安徽)有限公司 | Battery replacement detection method for battery replacement station |
| CN116775256A (en) * | 2022-03-07 | 2023-09-19 | 蔚来汽车科技(安徽)有限公司 | Method, system, computer readable storage medium and power exchange station for detecting abnormal power exchange |
| CN115156093A (en) * | 2022-06-29 | 2022-10-11 | 上海商汤智能科技有限公司 | Battery shell defect detection method, system and device |
| CN115639211B (en) * | 2022-10-20 | 2024-03-19 | 苏州明益信智能设备有限公司 | Automatic high-speed detection equipment for battery cover plate |
| CN117825395A (en) * | 2024-03-06 | 2024-04-05 | 宁德时代新能源科技股份有限公司 | Bare cell defect detection system and method |
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