CN112268514A - Power battery pole piece coating uniformity online metering test system - Google Patents

Power battery pole piece coating uniformity online metering test system Download PDF

Info

Publication number
CN112268514A
CN112268514A CN202010897659.7A CN202010897659A CN112268514A CN 112268514 A CN112268514 A CN 112268514A CN 202010897659 A CN202010897659 A CN 202010897659A CN 112268514 A CN112268514 A CN 112268514A
Authority
CN
China
Prior art keywords
pole piece
laser module
power battery
laser
optical imaging
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010897659.7A
Other languages
Chinese (zh)
Inventor
董俊
马冬
侯金艳
何俊明
马凡
姜铭坤
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anhui Zhongke Deji Intelligent Technology Co ltd
Hefei Institutes of Physical Science of CAS
Original Assignee
Anhui Zhongke Deji Intelligent Technology Co ltd
Hefei Institutes of Physical Science of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Anhui Zhongke Deji Intelligent Technology Co ltd, Hefei Institutes of Physical Science of CAS filed Critical Anhui Zhongke Deji Intelligent Technology Co ltd
Priority to CN202010897659.7A priority Critical patent/CN112268514A/en
Publication of CN112268514A publication Critical patent/CN112268514A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/02Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G01B11/06Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/30Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces
    • G01B11/303Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces using photoelectric detection means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/95Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/956Inspecting patterns on the surface of objects

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The invention discloses a power battery pole piece coating uniformity online metering test system which mainly comprises an optical imaging system, a computer and an image acquisition card, wherein the image acquisition card is used for connecting the optical imaging system and the computer; the optical imaging system is used for generating a light source with uniformity, stability and brightness meeting detection requirements, and comprises a first laser module, a second laser module, an infrared LED module and a binocular camera shooting device; the first laser module and the second laser module are used for detecting the thickness uniformity, and the infrared LED module is used for detecting the defects on the surface of the power battery pole piece; the computer comprises a control unit and an image processing unit; the output end of the control unit is connected with the optical imaging system and is used for setting and optimizing the parameter value of the optical imaging system, calculating the accurate thickness of the pole piece and detecting the defect on the surface of the pole plate. The invention can realize the synchronous detection of the thickness uniformity and the defect of the pole piece of the power battery.

Description

Power battery pole piece coating uniformity online metering test system
Technical Field
The invention relates to the field of optical detection, in particular to an online metering test system for uniformity of a power battery pole piece coating.
Background
In recent years, with the popularization and application development of new energy automobiles, power batteries enter a large-scale practical stage. In the coating process of the power battery pole piece, defects such as holes, scratches and the like are easily generated on the surface, and the thickness of the coating is not uniform, so that the quality and the service life of the battery are seriously influenced. At present, some lithium battery pole piece detection technologies based on machine vision can realize detection of defects such as cavities, scratches and the like, but have higher requirements on image quality of optical imaging; for the thickness measurement of the non-transparent films such as the power battery pole piece, a common online thickness measurement mode is an upper and lower differential laser triangulation method, the method requires accurate synchronization of an upper laser head and a lower laser head, and the widely adopted thickness measurement mode based on the C-shaped frame scanning type thickness measurement design can cause the vibration of the upper beam and the lower beam of the C-shaped frame and even micro deformation in the actual measurement process, so that the distance between the upper laser head and the lower laser head is unstable, and the micron-sized thickness measurement can cause larger deviation. At present, no solution for synchronously detecting the thickness uniformity and the defects of the pole piece of the power battery is available.
Disclosure of Invention
The invention aims to solve the technical problem of providing an online measurement and test system for uniformity of a coating of a pole piece of a power battery, which can realize synchronous detection of thickness uniformity and defect detection of the pole piece of the power battery.
In order to solve the technical problems, the invention adopts a technical scheme that: the on-line measurement and test system for the uniformity of the coating of the pole piece of the power battery mainly comprises an optical imaging system, a computer and an image acquisition card for connecting the optical imaging system and the computer;
the optical imaging system is used for generating a light source with uniformity, stability and brightness meeting detection requirements, and comprises a first laser module, a second laser module, an infrared LED module and a binocular camera shooting device; the binocular camera shooting device adopts two cameras combining a bright field imaging receiving mode and a dark field imaging receiving mode to obtain a surface image of the pole piece to be detected;
the computer comprises a control unit and an image processing unit; the output end of the control unit is connected with the optical imaging system and is used for setting and optimizing the parameter value of the optical imaging system, calculating the accurate thickness of the pole piece and detecting the defect on the surface of the pole plate;
the image acquisition card is used for converting image data acquired by the camera into a data format recognized by a computer, and sending the data format to the image processing unit, and the image processing unit analyzes, processes and recognizes the characteristics of the detected target.
In a preferred embodiment of the present invention, the optical imaging system adopts an in-line C-shaped fixed bracket as a main body structure, and comprises a bracket main body, an upper beam mounted at the upper end of the bracket main body, and a lower beam mounted at the lower end of the bracket main body, wherein the upper beam and the lower beam are located at the same side of the bracket main body;
the first laser module, the infrared LED module and the binocular camera shooting device are arranged on the lower surface of the upper beam and are linearly arranged; the second laser module is arranged on the upper surface of the lower beam.
Furthermore, the optical imaging system further comprises a sliding guide rail arranged between the upper beam and the lower beam, an objective table is arranged on the sliding guide rail, and the pole piece to be measured is fixed on the objective table.
In a preferred embodiment of the present invention, the parameter values set and optimized by the control unit for the optical imaging system include a defect type parameter to be detected, an LED infrared light source parameter, and a binocular camera shooting device parameter, the LED infrared light source parameter includes an irradiation angle and a brightness, and the binocular camera shooting device parameter includes a light and dark area position and a scanning frequency.
Furthermore, the binocular camera shooting device comprises a bright-field camera and a dark-field camera, and the linear array CCD multispectral integrated camera is used for shooting images of different defects on the surface of the lithium battery pole plate.
In a preferred embodiment of the present invention, the first laser module is configured to emit a laser beam to vertically irradiate the upper surface of the electrode to be tested, the second laser module is configured to emit a laser beam to vertically irradiate the lower surface of the electrode to be tested, and the laser beam emitted by the first laser module and the laser beam emitted by the second laser module are on the same straight line and in a vertical direction.
Further, the configuration parameters of the first laser module and the second laser module comprise the wavelength of the laser source, the diameter of a light spot, the scanning frequency, the interval of the light source and the number of the light sources which are completely the same.
Furthermore, the first laser module and the second laser module comprise a plurality of laser sources which are linearly distributed at intervals, the laser sources in the same vertical direction in the first laser module and the second laser module form a group, and each group of light sources synchronously irradiate the same horizontal position of the upper surface and the lower surface of the pole piece, so that the thickness measurement of a plurality of positions of the upper surface and the lower surface of the pole piece can be realized simultaneously.
Further, the spacing of the laser sources is determined by the recognition resolution of the pole pieces.
In a preferred embodiment of the present invention, the computer further comprises a display unit, an execution unit, and an alarm unit, which are connected in sequence, wherein an input end of the display unit is connected with the image processing unit. The detection result can be checked on the terminals such as a mobile phone and a tablet, and on-site early warning and emergency operation can be performed on the unqualified pole pieces, so that the system is more convenient to use and high in intelligent degree.
The invention has the beneficial effects that:
(1) the optical imaging system designed by the invention mainly solves the speed matching and recognition matching problems of two scanning states of power battery pole plate coating thickness uniformity detection and defect detection, and realizes the full-surface detection of the thickness uniformity detection and the defect detection synchronously. The development of the system can reduce the production cost for power battery manufacturers and greatly improve the product quality. Firstly, the detection work and the production equipment can be synchronously carried out, and the detection data can be more accurate for the on-line detection of the polar plate through the full-area detection; secondly, the detection work is automatically detected under the condition of no human intervention, the detection data are uploaded to a remote server in real time, and system software can complete subsequent data error analysis according to the data, so that much field test manpower and material resources can be saved; finally, the quality of the product can be greatly improved, so that the quality data of the product can be obtained at the early stage of production of the power battery, and the quality defect of the product is avoided after the production of the product is finished;
(2) all laser sources in the optical imaging system vertically irradiate the upper surface and the lower surface of the pole piece, are positioned on the same scanning plane during arrangement, do not have scanning blind areas, and have repeated scanning areas between the upper laser source and the lower laser source, so that the same position can be scanned by the plurality of laser sources, and a plurality of thickness measurement values of the same scanning position on the surface of the pole piece are obtained, thereby not only dealing with random disturbance which influences thickness measurement such as vertical vibration of an objective table, and the like, but also providing a more accurate measurement method for the thickness measurement of the pole piece; the detection precision of the upper and lower evenness degrees is less than or equal to +/-0.002 mm (single surface); the control unit optimizes parameters of the deep convolutional neural network and the image acquisition card, a camera, a pole piece and the like during synchronous working, so that good system performance is obtained, the pole plate identification rate is more than or equal to 50m/min, the design scanning width is more than or equal to 650mm, and the defect identification precision is less than or equal to 0.05 mm.
Drawings
FIG. 1 is a block diagram of a preferred embodiment of an online measurement and testing system for uniformity and linearity of pole piece coatings of a power battery according to the present invention;
fig. 2 is a block diagram of the optical imaging system.
Detailed Description
The following detailed description of the preferred embodiments of the present invention, taken in conjunction with the accompanying drawings, will make the advantages and features of the invention easier to understand by those skilled in the art, and thus will clearly and clearly define the scope of the invention.
Referring to fig. 1, an embodiment of the present invention includes:
an online measurement and test system for uniformity of coating of a pole piece of a power battery mainly comprises an optical imaging system, a computer and an image acquisition card connected with the optical imaging system and the computer. The computer comprises a control unit and an image processing unit; the output end of the control unit is connected with the optical imaging system and is used for setting and optimizing the parameter value of the optical imaging system, calculating the accurate thickness of the pole piece and detecting the defect on the surface of the pole plate. The image acquisition card is used for converting image data acquired by the camera into a data format recognized by a computer, and sending the data format to the image processing unit, and the image processing unit analyzes, processes and recognizes the characteristics of the detected target.
The optical imaging system is used for generating a light source with uniformity, stability and brightness meeting detection requirements, and comprises a first laser module, a second laser module, an infrared LED module and a binocular camera shooting device. The first laser module and the second laser module are used for detecting the thickness uniformity, the infrared LED module is used for detecting the defects of the surface of the pole piece of the power battery, and the binocular camera shooting device adopts two cameras with a combination of a bright domain imaging receiving mode and a dark domain imaging receiving mode to obtain the surface image of the pole piece to be detected.
With reference to fig. 2, the optical imaging system adopts an in-line C-shaped fixed bracket as a main structure, and includes a bracket main body, an upper beam mounted at an upper end of the bracket main body, a lower beam mounted at a lower end of the bracket main body, and a sliding guide rail disposed between the upper beam and the lower beam, where the upper beam and the lower beam are located at the same side of the bracket main body. The first laser module, the infrared LED module and the binocular camera shooting device are arranged on the lower surface of the upper beam and are arranged linearly, and the second laser module is arranged on the upper surface of the lower beam. The binocular camera shooting device comprises a bright-field camera and a dark-field camera, preferably, a linear array CCD multispectral integrated camera is adopted and used for shooting images of different defects on the surface of the lithium battery pole plate. The slide rail is provided with an objective table, and the pole piece to be measured is fixed on the objective table to move in a back-and-forth horizontal Z shape, so that the thickness and the defects of different positions on the surface of the pole piece can be given. Preferably, the objective table is a square objective table, and the size of the objective table can be flexibly replaced according to the size of the polar plate to be detected.
Specifically, first laser module is used for launching laser beam vertical irradiation to the pole piece upper surface that awaits measuring, second laser module is used for launching laser beam vertical irradiation to the pole piece lower surface that awaits measuring, and the laser beam of first laser module transmission and the laser beam of second laser module transmission are on same straight line and be in vertical direction. The configuration parameters of the first laser module and the second laser module comprise the same laser source wavelength, spot diameter, scanning frequency, light source interval and light source number. The infrared LED module is used for generating an infrared light source to irradiate the upper surface of the pole piece to be measured at a certain angle, and the two linear array CCD cameras are used for receiving the images of a bright area and a dark area.
The optical imaging system adopts the control unit to set various control parameters including the type parameters of the defects to be detected; LED infrared light source parameters including illumination angle and brightness; the linear array CCD camera parameters comprise light and shade area positions and scanning frequency.
Specifically, the control unit receives polar plate transmission speed information sensed by an encoder on the polar plate transmission device, performs high-precision speed measurement by adopting a built-in innovation self-adaptive Kalman filtering algorithm, and performs searching according to a built-in defect type to be detected, the polar plate transmission speed, an LED infrared light source and a parameter relation dictionary of the linear array CCD camera to obtain and set the current parameter values of the LED infrared light source and the linear array CCD camera.
The parameter relation dictionary is established by transmitting pole piece sample wafers with different defect types (such as wrinkles, pockmark defects or scratch defects) at different speeds, then adjusting parameters of an LED infrared light source and parameters of a linear array CCD camera until acquired defect images meet preset detection conditions, and storing related parameters at the moment.
In actual operation, when the defect detection accuracy of the acquired defect detection image given by a built-in pole piece surface defect recognition model is not lower than a specific threshold value, the acquired defect detection image is considered to meet the preset detection condition, and a group of defect types to be detected, the pole plate transmission speed, the LED infrared light source and the linear array CCD camera parameters are stored in a parameter relation dictionary.
In order to obtain high-efficiency thickness measurement, the first laser module and the second laser module comprise a plurality of laser sources which are linearly distributed at intervals, the laser sources positioned in the same vertical direction in the first laser module and the second laser module form a group, and each group of light sources synchronously irradiate the same horizontal position of the upper surface and the lower surface of the pole piece, so that the thickness measurement of a plurality of positions of the upper surface and the lower surface of the pole piece is realized simultaneously.
Preferably, the thickness measurement precision is also influenced by the stability of the laser module and the reasonable proportion of structural parameters, the laser source wavelength, the spot diameter, the scanning frequency, the light source interval, the number of the light sources and other configurations are also adopted by the control unit, the economic minimum configuration parameters meeting the requirement of the thickness measurement index are calculated and given through a built-in optimization control algorithm, millimeter-sized high-resolution laser sources are selected by default, the light sources are linearly and uniformly arranged at intervals, and the number of the default configurations is 18 (36 in total). The thickness measurement indexes comprise thickness uniformity detection precision, scanning width, polar plate identification rate, resolution and the like.
In order to obtain a high-precision thickness measurement, the objects with different known thicknesses can be placed on an object stage for measurement, compensation offset values under different thicknesses are obtained, the compensation offset values are real thickness-measured thickness, and compensation amount setting is carried out in the control unit. Preferably, the compensation offset can be calculated by adopting a least square method fitting method to give the compensation offset at a finer thickness.
Specifically, when the thickness of the same batch of power battery pole pieces is measured for the first time, the compensation offset calibration needs to be carried out, when the thickness is measured again, the positions of the two laser modules are kept fixed, and then the compensation offset is a fixed value and does not need to be calibrated again.
In order to cope with random disturbance affecting thickness measurement caused by vertical vibration of an object stage and the like, all the laser sources vertically irradiate the upper surface and the lower surface of the pole piece and are located on the same scanning plane during arrangement, no scanning blind area exists, a repeated scanning area is arranged between the upper laser source and the lower laser sources, so that the same position can be scanned by the multiple laser sources, multiple thickness measurement values of the same scanning position of the surface of the pole piece are obtained, on the basis, a final thickness measurement value is given by searching a compensation offset value which is calculated in advance in the control unit, namely the final thickness measurement value is the measurement value plus the compensation offset value, and the measurement value can be a weighted average value given by the multiple measurement values.
The invention can simultaneously measure the thickness of a plurality of positions of the upper surface and the lower surface of the pole piece, and has high thickness measurement efficiency; the provided offset compensation fitting method can calculate and give a refined thickness measurement value, and the detection precision of the upper uniformity and the lower uniformity is less than or equal to +/-0.002 mm (single surface).
Furthermore, a starting position sensor and an end position sensor are arranged on the objective table and correspond to the starting position and the end position of the pole piece. And under the signal identification of the sensor, aligning the starting position point of the pole piece with the corresponding laser source by the sliding guide rail according to the set size of the repeated scanning area, and opening/closing the corresponding laser source in the moving process of the pole piece. The position interval (namely the identification resolution) of each scanning point of the pole piece is determined by the interval of the laser source, and the coordinate of each scanning point is calibrated by adopting a Zhang-friend plane calibration method. The laser source interval is determined by the minimum stepping distance of the sliding guide rail, and the laser source interval is required to be ensured to be the same as the minimum stepping distance when the laser module is configured. The sliding guide rail is controlled by a stepping motor, and the minimum stepping distance is set by adopting a subdivision driving technology.
The image acquisition card is a transmission bridge between the camera and the computer, and in order to ensure the synchronous work of the image acquisition card, the camera, the movement of the pole piece and the like, the image acquisition frequency and the transmission speed parameters are obtained by the optimized calculation of the control unit and are adjusted in real time.
The computer image processing unit is used for verifying the image after the data conversion is finished, and an image processing algorithm is used for: coordinate transformation, image graying, image enhancement, image filtering, image segmentation, edge detection and the like, and then the detection target characteristics are analyzed, processed and identified. Specifically, the defect detection is performed by comprehensively analyzing a plurality of bright-field and dark-field image information obtained from a plurality of irradiation angles. And after the computer image processing unit generates a power battery pole piece surface gray level image, a sample enhanced image and image labeling processing, the computer image processing unit takes the gray level image, the sample enhanced image and the image labeling processing as a sample data set and trains a deep convolution neural network based on a cross entropy function. And inputting the gray level image of the surface of the pole piece of the power battery to be detected into a trained deep convolution neural network to realize the detection of the surface defect of the pole piece of the power battery.
In another embodiment, the computer further comprises a display unit, an execution unit and an alarm unit which are connected in sequence, and the input end of the display unit is connected with the image processing unit.
The display unit is used for carrying out large-screen visual display on the detection condition of the surface of each power battery pole piece, and comprises batch numbers, system numbers, detection time, operator information and the like of the current detection pole pieces, the number of detected pole pieces, the number of pole pieces to be detected, the number of qualified pole pieces and the like. The display unit also supports terminal display of mobile phones, tablets, computers and the like, can give batch numbers of unqualified power batteries by one key, and supports data export.
And the execution unit is used for detecting the operation after the unqualified power battery pole piece. The execution unit can be customized according to the requirements of customers, such as automatic shutdown, providing an abnormal recognition signal, marking a pole plate coating, and the like.
And the alarm unit is used for alarming after detecting the unqualified power battery pole piece. And voice broadcast, large-screen popup window, sound-light alarm and the like are supported.
As a further optimization scheme of the invention, the system can check the detection result on the terminals such as a mobile phone, a tablet and the like, and can carry out on-site early warning and emergency operation on unqualified pole pieces, so that the system is more convenient to use and has high intelligent degree.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A power battery pole piece coating uniformity online metering test system is characterized by mainly comprising an optical imaging system, a computer and an image acquisition card for connecting the optical imaging system and the computer;
the optical imaging system is used for generating a light source with uniformity, stability and brightness meeting detection requirements, and comprises a first laser module, a second laser module, an infrared LED module and a binocular camera shooting device; the binocular camera shooting device adopts two cameras combining a bright field imaging receiving mode and a dark field imaging receiving mode to obtain a surface image of the pole piece to be detected;
the computer comprises a control unit and an image processing unit; the output end of the control unit is connected with the optical imaging system and is used for setting and optimizing the parameter value of the optical imaging system, calculating the accurate thickness of the pole piece and detecting the defect on the surface of the pole plate;
the image acquisition card is used for converting image data acquired by the camera into a data format recognized by a computer, and sending the data format to the image processing unit, and the image processing unit analyzes, processes and recognizes the characteristics of the detected target.
2. The power battery pole piece coating uniformity online metering test system according to claim 1, wherein the optical imaging system adopts an in-line type C-shaped fixed support as a main structure and comprises a support main body, an upper beam installed at the upper end of the support main body and a lower beam installed at the lower end of the support main body, wherein the upper beam and the lower beam are located on the same side of the support main body;
the first laser module, the infrared LED module and the binocular camera shooting device are arranged on the lower surface of the upper beam and are linearly arranged; the second laser module is arranged on the upper surface of the lower beam.
3. The power battery pole piece coating uniformity online metering and testing system according to claim 2, wherein the optical imaging system further comprises a sliding guide rail arranged between the upper beam and the lower beam, a stage is arranged on the sliding guide rail, and the pole piece to be tested is fixed on the stage.
4. The power battery pole piece coating uniformity online metering test system according to claim 1, wherein parameter values set and optimized by the control unit for the optical imaging system comprise defect type parameters to be detected, LED infrared light source parameters and binocular camera shooting device parameters, wherein the LED infrared light source parameters comprise an irradiation angle and brightness, and the binocular camera shooting device parameters comprise a light and dark area position and a scanning frequency.
5. The power battery pole piece coating and linearity online metering test system according to any one of claims 1, 2 or 4, wherein the binocular camera shooting device comprises a bright-field camera and a dark-field camera, and a linear array CCD multispectral integrated camera is adopted for shooting images of different defects on the surface of the lithium battery pole piece.
6. The power battery pole piece coating uniformity online metering test system according to claim 1, wherein the first laser module is used for emitting laser beams to vertically irradiate the upper surface of the pole piece to be tested, the second laser module is used for emitting laser beams to vertically irradiate the lower surface of the pole piece to be tested, and the laser beams emitted by the first laser module and the laser beams emitted by the second laser module are on the same straight line and in the vertical direction.
7. The power battery pole piece coating and linear online metering test system as claimed in any one of claims 1, 2 or 6, wherein the configuration parameters of the first laser module and the second laser module comprise laser source wavelength, spot diameter, scanning frequency, light source interval and number of light sources are completely the same.
8. The power battery pole piece coating consistency online metering test system according to any one of claims 1, 2 or 6, wherein the first laser module and the second laser module comprise a plurality of laser sources which are linearly distributed at intervals, the laser sources in the first laser module and the second laser module which are positioned in the same vertical direction form a group, and each group of the laser sources synchronously irradiate the upper surface and the lower surface of the pole piece at the same horizontal position, so that the thickness measurement of the upper surface and the lower surface of the pole piece at multiple positions is realized.
9. The system of claim 8, wherein the spacing of the laser sources is determined by the recognition resolution of the pole piece.
10. The power battery pole piece coating and linearity online metering test system according to claim 1, wherein the computer further comprises a display unit, an execution unit and an alarm unit which are connected in sequence, and an input end of the display unit is connected with the image processing unit.
CN202010897659.7A 2020-08-31 2020-08-31 Power battery pole piece coating uniformity online metering test system Pending CN112268514A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010897659.7A CN112268514A (en) 2020-08-31 2020-08-31 Power battery pole piece coating uniformity online metering test system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010897659.7A CN112268514A (en) 2020-08-31 2020-08-31 Power battery pole piece coating uniformity online metering test system

Publications (1)

Publication Number Publication Date
CN112268514A true CN112268514A (en) 2021-01-26

Family

ID=74349727

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010897659.7A Pending CN112268514A (en) 2020-08-31 2020-08-31 Power battery pole piece coating uniformity online metering test system

Country Status (1)

Country Link
CN (1) CN112268514A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113533989A (en) * 2021-06-09 2021-10-22 深圳先进技术研究院 Battery detection system and battery detection method
CN113865714A (en) * 2021-08-27 2021-12-31 深圳市新嘉拓自动化技术有限公司 Detection method for detecting transverse temperature distribution of pole piece and early warning of pole piece warping
CN114354648A (en) * 2021-12-28 2022-04-15 深圳市深科达智能装备股份有限公司 Coating detection equipment and coating detection method
CN117490576A (en) * 2023-12-21 2024-02-02 杭州百子尖科技股份有限公司 Battery pole piece detection method, device, system and medium based on machine vision
CN117517326A (en) * 2024-01-04 2024-02-06 中成空间(深圳)智能技术有限公司 Batch battery piece detection method, device and system of flexible photovoltaic module
CN117739875A (en) * 2024-02-19 2024-03-22 湖南沃尔博精密工具有限公司 Photoelectric effect-based cutter coating uniformity detection system and method

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113533989A (en) * 2021-06-09 2021-10-22 深圳先进技术研究院 Battery detection system and battery detection method
CN113533989B (en) * 2021-06-09 2023-08-18 深圳先进技术研究院 Battery detection system and battery detection method
CN113865714A (en) * 2021-08-27 2021-12-31 深圳市新嘉拓自动化技术有限公司 Detection method for detecting transverse temperature distribution of pole piece and early warning of pole piece warping
CN114354648A (en) * 2021-12-28 2022-04-15 深圳市深科达智能装备股份有限公司 Coating detection equipment and coating detection method
CN117490576A (en) * 2023-12-21 2024-02-02 杭州百子尖科技股份有限公司 Battery pole piece detection method, device, system and medium based on machine vision
CN117517326A (en) * 2024-01-04 2024-02-06 中成空间(深圳)智能技术有限公司 Batch battery piece detection method, device and system of flexible photovoltaic module
CN117517326B (en) * 2024-01-04 2024-05-07 中成空间(深圳)智能技术有限公司 Batch battery piece detection method, device and system of flexible photovoltaic module
CN117739875A (en) * 2024-02-19 2024-03-22 湖南沃尔博精密工具有限公司 Photoelectric effect-based cutter coating uniformity detection system and method
CN117739875B (en) * 2024-02-19 2024-04-23 湖南沃尔博精密工具有限公司 Photoelectric effect-based cutter coating uniformity detection system and method

Similar Documents

Publication Publication Date Title
CN112268514A (en) Power battery pole piece coating uniformity online metering test system
CN102673106B (en) Silk screen print positioning equipment and method for photovoltaic solar silicon chip
CN108956645A (en) A kind of the optical mirror slip defect detecting device and method of more vision systems
CN213543477U (en) Power battery pole piece coating uniformity online metering test system
CN201218723Y (en) Optoelectronic non-contact type image detection apparatus
CN108332689A (en) A kind of optical measuring system and method for detection surface roughness and surface damage
CN103076345A (en) Detection method and full-automatic optical detection system for ITO conductive glass
CN110567987A (en) Feeder terminal substrate detection system and method based on automatic vision technology
CN110118777A (en) A kind of control system system integration Smart Verify platform
CN105181713A (en) Detection device used for optical fiber image inverter surface defects
CN114001666A (en) Terahertz scanning imaging device suitable for large-range complex curved surface object
CN109000797A (en) A kind of radium-shine cigarette-brand chromatism measurement method
CN116105604B (en) Steel pipe quality detection system and detection method
CN116593137B (en) Interferometer-based optical lens quality testing method and system
CN108895991A (en) Cold rolled sheet surface roughness detecting line sensor and system
CN112505067A (en) Method for detecting defects of transparent glass after film coating
CN108801463A (en) A kind of radium-shine cigarette-brand color difference measuring device
CN112378797A (en) Full-automatic indentation measuring device and method
CN219608806U (en) Appearance detection equipment for lens cambered surface product
CN208187381U (en) Laser leveler automatic checkout system
CN113933026B (en) Lens surface flaw detection device and method based on transmission and reflection mixed illumination
CN215865741U (en) Film uniformity detection system based on optical diffraction
CN216247731U (en) Optical detection equipment
CN110909653B (en) Method for automatically calibrating screen cabinet of distribution room by indoor robot
CN210893010U (en) Full-size online measuring device for mobile phone glass printing

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination