CN115950488A - Lithium battery full-line production quality detection method, system and platform - Google Patents
Lithium battery full-line production quality detection method, system and platform Download PDFInfo
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- CN115950488A CN115950488A CN202310224018.9A CN202310224018A CN115950488A CN 115950488 A CN115950488 A CN 115950488A CN 202310224018 A CN202310224018 A CN 202310224018A CN 115950488 A CN115950488 A CN 115950488A
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/50—Manufacturing or production processes characterised by the final manufactured product
Abstract
The invention belongs to the technical field of battery production quality detection, and particularly relates to a lithium battery full-line production quality detection method, a lithium battery full-line production quality detection system, a lithium battery full-line production quality detection platform and a storage medium. Respectively acquiring position data and image data corresponding to the lithium battery on a production line; respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data; acquiring inherent data information of the battery cell, and detecting a pole column and height of the lithium battery in real time according to the inherent data information of the battery cell; the welding of the bus bar of the lithium battery is positioned and detected, appearance detection data of the lithium battery module is combined, a device corresponding to the lithium battery is coated with glue and then packaged and stored, and a system, a platform and a storage medium corresponding to the method solve the problem of pain in the industry, replace the detection of workers by eyes, and adopt the technology of optomechanical-electrical soft integration to ensure that the battery is safer. The traditional human eye detection mode can be replaced, the workload is reduced, the working efficiency is improved, and the quality detection quality is improved.
Description
Technical Field
The invention belongs to the technical field of battery production quality detection, and particularly relates to a lithium battery full-line production quality detection method, a lithium battery full-line production quality detection system, a lithium battery full-line production quality detection platform and a storage medium.
Background
In the current stage, in the developed project of detecting the defects on the surface of the battery and the appearance of the lug by machine vision detection, the detection is carried out by human eye identification, the workload of the traditional manual mode detection is large, the time consumption is long, and the identification and detection results are inconsistent, so that the quality detection consistency of the lithium battery is poor.
Therefore, in the current stage, in the developed project for detecting the surface flaws of the battery and the appearance of the tab through machine vision, the detection is performed through human eye identification, the workload of the traditional manual mode detection is large, the time consumption is long, and the identification and detection results are inconsistent, so that the technical problem that the consistency of the quality detection of the lithium battery is poor is caused.
Disclosure of Invention
In order to overcome the defects and difficulties in the prior art, the invention aims to provide a lithium battery full-line production quality detection method, a lithium battery full-line production quality detection system, a lithium battery full-line production quality detection platform and a lithium battery storage medium, so that the problem of industrial pain is solved, the eye detection of workers is replaced, and the battery is safer by adopting the opto-electro-mechanical soft integration technology.
The first purpose of the invention is to provide a lithium battery full-line production quality detection method;
the second purpose of the invention is to provide a lithium battery full-line production quality detection system;
the third purpose of the invention is to provide a lithium battery full-line production quality detection platform;
a fourth object of the present invention is to provide a computer-readable storage medium;
the first object of the present invention is achieved by: the method comprises the following steps:
respectively acquiring position data and image data corresponding to the lithium battery on a production line;
respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
acquiring inherent data information of the battery cell, and detecting a pole column and height of the lithium battery in real time according to the inherent data information of the battery cell;
and positioning and detecting the welding of the bus bar of the lithium battery, combining appearance detection data of the lithium battery module, coating the glue on the device corresponding to the lithium battery, and packaging and warehousing.
Further, the step of respectively acquiring the position data and the image data corresponding to the lithium battery on the production line further comprises the steps of:
starting at least two data acquisition devices according to a system instruction; the data acquisition equipment is a high-definition camera;
the method comprises the steps that a grabbing device is guided to carry out grabbing operation in real time through obtained lithium battery data; wherein the gripping device is a robot or mechanical gripper.
Further, the method comprises the steps of respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data, and further comprising the following steps:
and generating a cell size data set of the lithium battery according to the cell size detection data of the lithium battery.
Further, the cell size data set includes cell station layout, cell length data, and cell thickness data.
Further, the location and the detection the busbar welding of lithium cell combines lithium cell module outward appearance to detect data to with after the corresponding device rubber coating of lithium cell, the packing warehouse entry still includes the step:
detect the full-size of module and the lower casing rubber coating of lithium cell respectively.
Further, the location and the detection the busbar welding of lithium cell combines lithium cell module outward appearance to detect data to with after the corresponding device rubber coating of lithium cell, the packing warehouse entry still includes the step:
putting the lithium battery module into a box, and gluing the module pressing strip.
The second object of the present invention is achieved by: the system specifically comprises:
the data acquisition unit is used for respectively acquiring position data and image data corresponding to the lithium battery on the production line;
the first detection unit is used for respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
the second detection unit is used for acquiring the inherent data information of the battery cell and detecting the pole and the height of the lithium battery in real time according to the inherent data information of the battery cell;
and the third detection unit is used for positioning and detecting bus bar welding of the lithium battery, combining appearance detection data of the lithium battery module, coating glue on devices corresponding to the lithium battery, packaging and warehousing.
Further, the data obtaining unit further includes:
the first acquisition module is used for starting at least two data acquisition devices according to a system instruction; the data acquisition equipment is a high-definition camera;
the second acquisition module is used for guiding the grabbing device to carry out grabbing operation in real time according to the acquired lithium battery data; wherein the gripping device is a robot or mechanical gripper;
and/or, the first detection unit further comprises:
the first generation module is used for generating a battery cell size data set of the lithium battery according to the battery cell size detection data of the lithium battery; the cell size data set comprises cell station layout, cell length data and cell thickness data;
and/or, the third detection unit further comprises:
the first detection module is used for respectively detecting the full size of the module of the lithium battery and the gluing of the lower shell;
and the in-box gluing processing module is used for putting the lithium battery module into a box and gluing the module pressing strips.
The third object of the present invention is achieved by: the method comprises the following steps: a processor, a memory and a control program of a lithium battery full-line production quality detection platform;
the processor executes the control program of the lithium battery all-line production quality detection platform, the control program of the lithium battery all-line production quality detection platform is stored in the memory, and the control program of the lithium battery all-line production quality detection platform realizes the lithium battery all-line production quality detection method.
The fourth object of the present invention is achieved by: the computer readable storage medium stores a control program of the lithium battery all-line production quality detection platform, and the control program of the lithium battery all-line production quality detection platform realizes the lithium battery all-line production quality detection method.
According to the method, position data and image data corresponding to the lithium battery on a production line are respectively obtained; respectively detecting the cell size and the adhesive tape state of the lithium battery according to the image data; acquiring inherent data information of the battery cell, and detecting a pole column and height of the lithium battery in real time according to the inherent data information of the battery cell; the welding of the bus bar of the lithium battery is positioned and detected, appearance detection data of the lithium battery module is combined, a device corresponding to the lithium battery is coated with glue and then packaged and stored, and a system, a platform and a storage medium corresponding to the method solve the problem of pain in the industry, replace the detection of workers by eyes, and adopt the technology of optomechanical-electrical soft integration to ensure that the battery is safer. That is to say, can realize replacing traditional human eye detection mode, still improve work efficiency when reducing work load to and improved quality control quality.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a lithium battery full-line production quality detection method of the present invention;
FIG. 2 is a schematic diagram of a system for detecting the quality of lithium battery production in a full line according to the present invention;
FIG. 3 is a schematic diagram of a lithium battery full-line production quality detection platform architecture according to the present invention;
FIG. 4 is a block diagram of a computer-readable storage medium according to an embodiment of the present invention;
FIG. 5 is a schematic view of a process flow of the lithium battery full-line production quality detection method of the present invention;
FIG. 6 is a schematic diagram of a second process flow of the method for detecting the quality of the lithium battery in the whole production line of the present invention;
the objects, features and advantages of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
For better understanding of the objects, aspects and advantages of the present invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings, and other advantages and capabilities of the present invention will become apparent to those skilled in the art from the description.
The invention is capable of other and different embodiments and its several details are capable of modification in various other respects, all without departing from the spirit and scope of the present invention.
It should be noted that, if directional indications (such as up, down, left, right, front, and back … …) are involved in the embodiment of the present invention, the directional indications are only used to explain the relative position relationship between the components, the motion situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indication is changed accordingly.
In addition, if there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. Secondly, the technical solutions in the embodiments can be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not be within the protection scope of the present invention.
Preferably, the lithium battery full-line production quality detection method is applied to one or more terminals or servers. The terminal is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.
The terminal can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The terminal can be in man-machine interaction with a client in a keyboard mode, a mouse mode, a remote controller mode, a touch panel mode or a voice control device mode.
The invention discloses a method, a system, a platform and a storage medium for detecting the whole production quality of a lithium battery.
Fig. 1 is a flowchart of a lithium battery full-line production quality detection method according to an embodiment of the present invention.
In this embodiment, the lithium battery full-line production quality detection method can be applied to a terminal or a fixed terminal with a display function, and the terminal is not limited to a personal computer, a smart phone, a tablet computer, a desktop computer or an all-in-one machine with a camera, and the like.
The lithium battery full-line production quality detection method can also be applied to a hardware environment formed by a terminal and a server connected with the terminal through a network. Networks include, but are not limited to: a wide area network, a metropolitan area network, or a local area network. The lithium battery full-line production quality detection method provided by the embodiment of the invention can be executed by a server, a terminal or both the server and the terminal.
For example, for a terminal which needs to perform the quality detection of the lithium battery on the whole production line, the function of the lithium battery on the whole production line provided by the method of the present invention can be directly integrated on the terminal, or a client for implementing the method of the present invention can be installed. For another example, the method provided by the present invention may further run on a device such as a server in the form of a Software Development Kit (SDK), and an interface of the lithium battery full-line production quality detection function is provided in the form of the SDK, and the terminal or other devices may implement the lithium battery full-line production quality detection function through the provided interface.
The invention is further elucidated with reference to the drawing.
As shown in fig. 1-6, the invention provides a lithium battery full-line production quality detection method, which specifically comprises the following steps:
s1, respectively acquiring position data and image data corresponding to a lithium battery on a production line;
s2, respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
s3, acquiring inherent data information of the battery cell, and detecting the pole and the height of the lithium battery in real time according to the inherent data information of the battery cell;
and S4, positioning and detecting the bus bar welding of the lithium battery, combining the appearance detection data of the lithium battery module, gluing the device corresponding to the lithium battery, packaging and warehousing.
Respectively obtain position data and image data corresponding with the lithium cell on the production line, still include the step:
s11, starting at least two data acquisition devices according to a system instruction; the data acquisition equipment is a high-definition camera;
s12, the grabbing device is guided to carry out grabbing operation in real time through the acquired lithium battery data; wherein the gripping device is a robot or mechanical gripper.
The method comprises the following steps of respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data, and further comprises the following steps:
and S21, generating a battery cell size data set of the lithium battery according to the battery cell size detection data of the lithium battery.
The cell size data set comprises cell station layout, cell length data and cell thickness data.
The location detects the busbar welding of lithium cell combines lithium cell module outward appearance to detect data, and to with after the corresponding device rubber coating of lithium cell, the packing warehouse entry still includes the step:
s41, detecting the full size of the lithium battery module and gluing the lower shell of the lithium battery module respectively.
The bus bar welding of lithium cell is fixed a position and detected, combines lithium cell module outward appearance detection data to with after the device rubber coating that the lithium cell corresponds, the packing is put in storage, still includes the step:
s42, putting the lithium battery module into a box, and gluing the module pressing strip.
Specifically, as shown in fig. 5 and 6, in the embodiment of the present invention, the detection requirement: each robot is provided with 2 cameras for shooting and positioning at the same time, and the robots are guided to grab; the positioning precision is 0.1mm; the feeding mode is as follows: the manipulator snatchs 4 electric cores once, and electric core transport & displacement & upset are put electric core on the transfer chain.
Device functional requirements, functions: and (4) scanning and measuring the thickness without pressure, recording the maximum size of the thickness of the battery cell, and changing the set value if the maximum size exceeds the set size range. Scanning area: the upper surface and the lower surface need to be scanned; the main parameters are as follows: the equipment precision is 0.01mm; two speed chains are respectively provided with 2D cameras to measure the length of the battery cell at two ends of the battery cell, and two speed chains are respectively provided with 4 3D contourgraphs (2 in the upper and lower directions) to scan the large surface of the upper surface and the large surface of the lower surface of the battery cell to measure the thickness of the battery cell.
The battery cell size measuring station is distributed, 2 robots are arranged, each robot corresponds to 2 speed multiplying chains, each speed multiplying chain is matched with 2 cameras for detection, and 4 speed multiplying chains are provided; the number of batteries is 2 × 4=8, and the number of detection cameras is also 8.
The battery cell is automatically stacked: identifying the direction of the assembly, positioning the battery cell, guiding the robot to automatically take and place for stacking; the positioning precision is 0.1mm; each robot is provided with 2 cameras for shooting and positioning at the same time, and the robots are guided to grab;
the automatic yard of sweeping of electric core: the functions of automatically scanning the code of the battery cell, reading the information of the battery cell and eliminating the defects are realized; two cameras are respectively arranged at two sides of the module, and the camera automatically moves to scan codes and detect bar code information. Minimum unit value precision: 0.05mm. Appointing a code scanning gun: KEYENCE _ SR _1000 and above.
The specific process requirements are as follows:
| process requirements | Specification requirements |
| Code scanning position | Covering the body range of the two-dimension code surface of the battery cell |
| Battery cell bar code | Correct bar code (check: date of manufacture, cell type, PN) |
| Cell storage time | Less than or equal to 30 days |
| Battery core batch | The batch is consistent with the gear issued by the work order |
| Battery cell gear | The batch is consistent with the gear issued by the work order |
The process flow comprises the following steps: reading the two-dimension code of the battery core, comparing the two-dimension code information with data in the MES, automatically placing the battery core which is not matched with the system information or the battery core which can not read the code to a defective product area, and supplementing the distribution quantity with the good product battery core. The electric core two-dimensional code can not identify the electric core which is inconsistent with the identified information, and can not be treated as the same defective product.
Pole addressing and height detection: and two cameras are respectively arranged at two sides of the module to position and address the polar columns.
The specific process requirements are as follows:
| sequence of events | Name (R) | Specification of | Remarks for note |
| 1 | Incoming material | Grouped incoming material | Automatic |
| 2 | Cell pole addressing | The repetition accuracy is less than or equal to 0.2mm | The addressing number satisfies the maximum compatible number of the tray |
| 3 | Discharging | Automatic |
The process requirements and precision are as follows:
| sequence of | Name(s) | Specification of | Remarks to note |
| 1 | Addressing accuracy | Group incoming material | Less than or equal to 0.2mm (repeat 30) Accuracy of sub-addressing result) |
| 2 | Finding a location | Repetition accuracy of less than or equal to 0.2mm | Pole edge or pole center, TBD |
| 3 | Number of addresses | The number is uploaded to MES for monitoring | |
| 4 | Battery cell length recording and alarming | Transferring cell length data, stacking Phases mounted in the same confluence during the process The length requirement of the adjacent cell is less than or equal to If the diameter is 0.4mm, alarming if the diameter exceeds the diameter, manual confirmation interception module |
And (3) bus welding and positioning: the robot is provided with 2 cameras for module positioning, and the robot is guided to weld by matching with polar column addressing data precise positioning. Minimum unit pixel precision: 0.05mm.
And (3) detecting the welded busbar: weld joint detection data are stored locally and can be uploaded to an MES system in real time, and each module weld joint appearance picture needs to correspond to a module bar code. And two sides of the module are respectively provided with a 2D camera and 1 3D contourgraph, and the length, the width, the surplus height, the collapse, the hole burst and other defects of the welding seam are detected.
Gluing and detecting the lower shell: the robot is provided with a camera, the box body is photographed and positioned firstly, the robot is guided to glue, and photographing is carried out after the gluing is finished to detect the length, the width, the distance and the position degree of the glue. The measured value of the Master system is matched to be compared with the inherent value of the Master, and the system has the starting and checking program and functions.
The module automatically enters a box, and 4 Mark points at the side of the shooting box body are positioned; each robot is provided with 2 cameras, the modules and the box body are respectively positioned, and the robots are guided to position; the positioning precision is 0.15mm.
Gluing a module pressing bar: and (4) coating structural adhesive on the large surface of the pressing strip, carrying out visual detection on the quality of the adhesive strip, and transferring the detected unqualified product flow to the next procedure for rechecking and adhesive supplementing. The robot is provided with 1 camera, the box body is photographed and positioned firstly, the robot is guided to glue, and the length, the width, the distance and the position degree of the glue type are detected after the glue is coated.
The upper cover is screwed automatically: positioning the bolt, and guiding the robot to a screwing position; detection precision: plus or minus 0.15mm;2 robots are respectively provided with 2 cameras to take pictures simultaneously, the bolts are positioned, and the robots are guided to the tightening positions. The operation process comprises the following steps: the upper cover of the material rack is grabbed by the manual lifting appliance and assembled into the lower shell, and 8 diagonal bolts are manually screwed in advance. The AGV area is screwed up PACK of lid in advance and is got into automatic station of screwing up, and the robot area is screwed up the axle and is led to the cooperation and send nail equipment voluntarily, screws up case lid set screw according to established order.
The technical requirements are as follows: the position of the upper cover is not deviated when the upper cover collides in the assembling process. The screws are tightened according to given tightening parameters (sequence/position, torque, tightening angle, etc.).
In order to achieve the above object, the present invention further provides a system for detecting the quality of lithium battery in the whole production line, as shown in fig. 2, the system specifically includes:
the data acquisition unit is used for respectively acquiring position data and image data corresponding to the lithium battery on the production line;
the first detection unit is used for respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
the second detection unit is used for acquiring the inherent data information of the battery cell and detecting the pole and the height of the lithium battery in real time according to the inherent data information of the battery cell;
and the third detection unit is used for positioning and detecting bus bar welding of the lithium battery, combining appearance detection data of the lithium battery module, coating glue on devices corresponding to the lithium battery, packaging and warehousing.
The data acquisition unit further includes:
the first acquisition module is used for starting at least two data acquisition devices according to a system instruction; the data acquisition equipment is a high-definition camera;
the second acquisition module is used for guiding the grabbing device to carry out grabbing operation in real time according to the acquired lithium battery data; wherein the gripping device is a robot or mechanical gripper;
and/or, the first detection unit further comprises:
the first generation module is used for generating a battery cell size data set of the lithium battery according to the battery cell size detection data of the lithium battery; the cell size data set comprises cell station layout, cell length data and cell thickness data;
and/or, the third detection unit further comprises:
the first detection module is used for respectively detecting the full size of the module of the lithium battery and the gluing of the lower shell;
and the in-box gluing processing module is used for putting the lithium battery module into a box and gluing the module pressing strips.
In the embodiment of the system scheme of the present invention, specific details of the method steps involved in the lithium battery full-line production quality detection have been described above, and are not described herein again.
In order to achieve the above object, the present invention further provides a platform for detecting the quality of lithium battery in the whole production line, as shown in fig. 3, including: a processor, a memory and a lithium battery full-line production quality detection platform control program;
the processor executes the control program of the lithium battery all-line production quality detection platform, the control program of the lithium battery all-line production quality detection platform is stored in the memory, and the control program of the lithium battery all-line production quality detection platform realizes the steps of the lithium battery all-line production quality detection method, such as:
s1, respectively acquiring position data and image data corresponding to a lithium battery on a production line;
s2, respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
s3, acquiring inherent data information of the battery cell, and detecting the pole and the height of the lithium battery in real time according to the inherent data information of the battery cell;
and S4, positioning and detecting the welding of the bus bar of the lithium battery, combining appearance detection data of the lithium battery module, coating the glue on the device corresponding to the lithium battery, and packaging and warehousing.
The details of the steps have been set forth above and will not be described herein.
In the embodiment of the present invention, the built-in processor of the lithium battery full-line production quality detection platform may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, and includes one or more Central Processing Units (CPUs), a microprocessor, a digital Processing chip, a graphics processor, and a combination of various control chips. The processor is connected with each component by various interfaces and lines, and executes various functions and processes data of the lithium battery full-line production quality detection by running or executing programs or units stored in the memory and calling data stored in the memory;
the memory is used for storing program codes and various data, is installed in a lithium battery full-line production quality detection platform, and realizes high-speed and automatic access of programs or data in the operation process.
The Memory may include a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable Programmable Read-Only Memory (Electrically-Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical disk storage, a magnetic disk storage, a tape storage, or any other medium capable of being used to carry or store data and readable by a computer.
In order to achieve the above object, the present invention further provides a computer readable storage medium, as shown in fig. 4, where the computer readable storage medium stores a control program of an all-line production quality detection platform for lithium batteries, and the control program of the all-line production quality detection platform for lithium batteries implements the steps of the all-line production quality detection method for lithium batteries, for example:
s1, respectively acquiring position data and image data corresponding to a lithium battery on a production line;
s2, respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
s3, acquiring inherent data information of the battery cell, and detecting the pole and the height of the lithium battery in real time according to the inherent data information of the battery cell;
and S4, positioning and detecting the welding of the bus bar of the lithium battery, combining appearance detection data of the lithium battery module, coating the glue on the device corresponding to the lithium battery, and packaging and warehousing.
The details of the steps have been set forth above and will not be described herein.
In describing embodiments of the present invention, it should be noted that any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process, and that the scope of the preferred embodiments of the present invention includes additional implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processing module-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM).
Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
In an embodiment of the present invention, to achieve the above object, the present invention further provides a chip system, where the chip system includes at least one processor, and when a program instruction is executed in the at least one processor, the chip system executes the steps of the method for detecting quality of lithium battery full-line production, for example:
s1, respectively acquiring position data and image data corresponding to a lithium battery on a production line;
s2, respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
s3, acquiring inherent data information of the battery cell, and detecting the pole and the height of the lithium battery in real time according to the inherent data information of the battery cell;
and S4, positioning and detecting the bus bar welding of the lithium battery, combining the appearance detection data of the lithium battery module, gluing the device corresponding to the lithium battery, packaging and warehousing.
The details of the steps have been set forth above and will not be described herein.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
According to the method, position data and image data corresponding to the lithium battery on a production line are respectively obtained; respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data; acquiring inherent data information of the battery cell, and detecting a pole column and height of the lithium battery in real time according to the inherent data information of the battery cell; the welding of the bus bar of the lithium battery is positioned and detected, the appearance detection data of the lithium battery module is combined, the device corresponding to the lithium battery is coated with glue and then packaged and stored, and the system, the platform and the storage medium corresponding to the method solve the problem of pain in the industry, replace the detection of workers by eyes, and adopt the technology of optomechanical-electrical soft integration to ensure that the battery is safer. That is to say, can realize replacing traditional human eye detection mode, still improve work efficiency when having reduced work load to and improved quality control quality.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A lithium battery full-line production quality detection method is characterized by comprising the following steps:
respectively acquiring position data and image data corresponding to the lithium battery on a production line;
respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
acquiring inherent data information of the battery cell, and detecting a pole column and height of the lithium battery in real time according to the inherent data information of the battery cell;
and positioning and detecting the welding of the bus bar of the lithium battery, combining appearance detection data of the lithium battery module, coating the glue on the device corresponding to the lithium battery, and packaging and warehousing.
2. The lithium battery full-line production quality detection method according to claim 1, wherein the step of respectively acquiring position data and image data corresponding to the lithium battery on the production line further comprises the steps of:
starting at least two data acquisition devices according to a system instruction; the data acquisition equipment is a high-definition camera;
the method comprises the steps that a grabbing device is guided to carry out grabbing operation in real time through obtained lithium battery data; wherein the gripping device is a robot or mechanical gripper.
3. The lithium battery full-line production quality detection method according to claim 1, wherein the cell size and the rubberizing state of the lithium battery are respectively detected according to the image data, and the method further comprises the following steps:
and generating a cell size data set of the lithium battery according to the cell size detection data of the lithium battery.
4. The method of claim 3, wherein the cell size data set includes cell station layout, cell length data, and cell thickness data.
5. The lithium battery full-line production quality detection method according to claim 1, wherein the bus bar welding of the lithium battery is positioned and detected, appearance detection data of a lithium battery module is combined, and after gluing is performed on a device corresponding to the lithium battery, the device is packaged and stored in a warehouse, and the method further comprises the following steps:
detect the full size of module and the lower casing rubber coating of lithium cell respectively.
6. The lithium battery full-line production quality detection method according to claim 1 or 5, wherein the bus bar welding of the lithium battery is positioned and detected, the lithium battery module appearance detection data is combined, and after gluing is performed on a device corresponding to the lithium battery, the device is packaged and stored in a warehouse, and the method further comprises the following steps:
putting the lithium battery module into a box, and gluing the module pressing strip.
7. The utility model provides a lithium cell full-line production quality detecting system which characterized in that, the system includes:
the data acquisition unit is used for respectively acquiring position data and image data corresponding to the lithium battery on a production line;
the first detection unit is used for respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
the second detection unit is used for acquiring the inherent data information of the battery cell and detecting the pole and the height of the lithium battery in real time according to the inherent data information of the battery cell;
and the third detection unit is used for positioning and detecting bus bar welding of the lithium battery, combining appearance detection data of the lithium battery module, coating glue on devices corresponding to the lithium battery, packaging and warehousing.
8. The system for detecting the quality of the lithium battery in the whole production line as claimed in claim 7, wherein the data acquisition unit further comprises:
the first acquisition module is used for starting at least two data acquisition devices according to a system instruction; the data acquisition equipment is a high-definition camera;
the second acquisition module is used for guiding the grabbing device to carry out grabbing operation in real time according to the acquired lithium battery data; wherein the gripping device is a robot or mechanical gripper;
and/or, the first detection unit further comprises:
the first generation module is used for generating a battery cell size data set of the lithium battery according to the battery cell size detection data of the lithium battery; the cell size data set comprises cell station layout, cell length data and cell thickness data;
and/or, the third detection unit further comprises:
the first detection module is used for respectively detecting the full size of the module of the lithium battery and the gluing of the lower shell;
and the in-box gluing processing module is used for putting the lithium battery module into a box and gluing the module pressing strips.
9. A lithium battery full-line production quality detection platform is characterized by comprising a processor, a memory and a lithium battery full-line production quality detection platform control program;
the processor executes the lithium battery all-line production quality detection platform control program, the lithium battery all-line production quality detection platform control program is stored in the memory, and the lithium battery all-line production quality detection platform control program realizes the lithium battery all-line production quality detection method according to any one of claims 1 to 6.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a control program of an all-line production quality detection platform for lithium batteries, the control program of the all-line production quality detection platform for lithium batteries implementing the all-line production quality detection method for lithium batteries according to any one of claims 1 to 6.
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