Degassing machine simulation device and method for secondary battery production

Abstract

The present invention relates to a degassing machine simulation device for secondary battery production. The degassing machine simulation device for secondary battery production includes a memory configured to store at least one instruction, and at least one processor configured to execute the at least one instruction stored in the memory. The at least one instruction includes instructions for: executing a device operation part including a three-dimensional (3D) degassing machine associated with production of a secondary battery and a unit for confirming quality of a substance generated by the 3D degassing machine, and a facility operation part including a plurality of adjustment parameters for determining operation of the 3D degassing machine; acquiring at least one of first user behavior information acquired through the device operation part and first user condition information acquired through the facility operation part; determining at least one operation of 3D degassing machine operation and autonomous inspection based on the acquired at least one of the first user behavior information and the first user condition information; and executing the determined operation.

Description

Technical Field

[0001] This invention relates to a degassing machine simulation apparatus and method for secondary battery production, and more specifically, to a degassing machine simulation apparatus and method for training secondary battery production workers. Background Technology

[0002] Recently, with the development of the electric vehicle market, the demand for the development and production of secondary batteries is increasing dramatically. To meet this growing demand, the number of manufacturing plants producing secondary batteries is also gradually increasing. However, the number of skilled workers required for these plants remains insufficient.

[0003] On the other hand, current training for new employees still relies on observing experienced workers, making it difficult to provide extended training during busy secondary battery production schedules. Furthermore, frequent staff turnover makes it difficult to ensure a sufficient number of skilled workers. Even if workers receive training on normal factory operations, they may not be able to immediately address various defects that arise during factory operations. Summary of the Invention

[0004] Technical issues

[0005] In order to solve the problems described above, the object of the present invention is to provide a degassing machine simulation apparatus (system), method, computer program stored in a computer-readable medium, and computer-readable medium storing the computer program for secondary battery production.

[0006] Technical solution

[0007] This invention can be implemented in various ways, including apparatus (system), method, computer program stored in a computer-readable medium, or computer-readable medium storing a computer program.

[0008] A degassing machine simulation device for secondary battery production according to an embodiment of the present invention includes: a memory configured to store at least one instruction; and at least one processor configured to execute the at least one instruction stored in the memory. The at least one instruction includes instructions for: executing a device operating unit and an equipment operation unit, the device operating unit including a three-dimensional degassing machine associated with secondary battery production and a unit for verifying the quality of the material generated by the three-dimensional degassing machine, the equipment operation unit including a plurality of adjustment parameters for determining the operation of the three-dimensional degassing machine; acquiring at least one of first user behavior information acquired through the device operating unit and first user condition information acquired through the equipment operation unit; determining at least one operation of three-dimensional degassing machine operation and autonomous inspection based on the acquired first user behavior information and first user condition information; and executing the determined operation.

[0009] According to one embodiment of the present invention, at least one instruction further includes instructions for performing at least one of degassing, pouch cutting, main sealing, and hot pressing.

[0010] According to one embodiment of the present invention, at least one instruction further includes instructions for checking at least one of the following: mold sealing gap, sealing width, distance between main sealing and degas sealing, and sealing thickness.

[0011] According to an embodiment of the present invention, at least one instruction further includes instructions for: determining one or more mass parameters, said one or more mass parameters being used to determine the mass of the substance generated by the three-dimensional degasser; calculating values ​​corresponding to the determined one or more mass parameters respectively based on the operation of the three-dimensional degasser during its operation; and outputting mass information associated with the mass of the substance generated by the three-dimensional degasser based on the calculated values ​​corresponding to the one or more mass parameters respectively.

[0012] According to one embodiment of the present invention, at least one instruction further includes instructions for: determining one or more defect scenarios among a plurality of defect scenarios associated with the quality of the material generated by the three-dimensional degasser; and modifying at least one of the operation of the three-dimensional degasser and quality information associated with the quality of the material based on the determined one or more defect scenarios.

[0013] According to an embodiment of the present invention, the defect scenarios include at least one of a sealing position defect scenario, a sealing position distortion defect scenario, a first sealing thickness defect scenario, and a second sealing thickness defect scenario. The sealing position defect scenario indicates that the entire y-axis position of the sealing area of ​​the substance deviates from the upper or lower limit of the preset specification. The sealing position distortion defect scenario indicates that the y-axis position of one side of the sealing area of ​​the substance deviates from the upper or lower limit of the preset specification. The first sealing thickness defect scenario indicates that the sealing thickness at least one of the multiple measurement locations of the substance deviates from the upper or lower limit of the preset specification, and the sealing thickness deviation between the multiple measurement locations is below a preset standard value. The second sealing thickness defect scenario indicates that the sealing thickness at least one of the multiple measurement locations of the substance deviates from the upper or lower limit of the preset specification, and the sealing thickness deviation between the multiple measurement locations is greater than the preset standard value.

[0014] According to an embodiment of the present invention, at least one instruction further includes instructions for: executing at least one of a sealing position defect scenario, a sealing position distortion defect scenario, a first sealing thickness defect scenario, and a second sealing thickness defect scenario; acquiring at least one of second user behavior information of touching or dragging at least a portion of the three-dimensional degasser and second user condition information of changing the adjustment parameters of the equipment operating part; calibrating the three-dimensional degasser based on at least one of the acquired second user behavior information and second user condition information; calculating values ​​corresponding to one or more mass parameters respectively associated with the mass of the substance generated by the calibrated three-dimensional degasser; and calibrating the mass information associated with the mass of the substance generated by the calibrated three-dimensional degasser based on the calculated values ​​respectively associated with one or more mass parameters.

[0015] According to one embodiment of the present invention, at least one instruction further includes instructions for: acquiring third user behavior information corresponding to touching or dragging at least a portion of an area that corresponds to confirming the quality of a substance produced by a three-dimensional degasser; and outputting the cause of the substance's defect based on the third user behavior information.

[0016] According to one embodiment of the present invention, at least one instruction further includes instructions for: outputting guidance information, the guidance information including condition information and behavioral information required to resolve one or more defect scenarios.

[0017] According to an embodiment of the present invention, a degassing machine simulation method for secondary battery production executed by at least one processor includes the following steps: an execution device working unit and an equipment operation unit, the device working unit including a three-dimensional degassing machine associated with the production of secondary batteries and a unit for confirming the quality of the material generated by the three-dimensional degassing machine, the equipment operation unit including a plurality of adjustment parameters for determining the operation of the three-dimensional degassing machine; acquiring at least one of first user behavior information acquired by the device working unit and first user condition information acquired by the equipment operation unit; determining at least one operation of three-dimensional degassing machine operation and autonomous inspection based on at least one of the acquired first user behavior information and first user condition information; and executing the determined operation.

[0018] According to an embodiment of the present invention, when the determined work is the operation of a three-dimensional degasser, the steps for performing the determined work include the following steps: performing at least one of the following operations: degassing, pouch cutting, main sealing, and hot pressing.

[0019] According to an embodiment of the present invention, when the determined task is an autonomous inspection, the steps for performing the determined task include the following steps: checking at least one of the following: mold sealing gap, sealing width, distance between main sealing and degassing sealing, and sealing thickness.

[0020] According to an embodiment of the present invention, the method further includes the following steps: determining one or more mass parameters, said one or more mass parameters being used to determine the mass of the substance generated by the three-dimensional degasser; calculating values ​​corresponding to the determined one or more mass parameters based on the operation of the three-dimensional degasser during its operation; and outputting mass information associated with the mass of the substance generated by the three-dimensional degasser based on the calculated values ​​corresponding to the one or more mass parameters.

[0021] According to one embodiment of the present invention, the method further includes the following steps: determining one or more defect scenarios among a plurality of defect scenarios associated with the quality of the material generated by the three-dimensional degasser; and modifying at least one of the operation of the three-dimensional degasser and quality information associated with the quality of the material based on the determined one or more defect scenarios.

[0022] According to an embodiment of the present invention, the defect scenarios include at least one of a sealing position defect scenario, a sealing position distortion defect scenario, a first sealing thickness defect scenario, and a second sealing thickness defect scenario. The sealing position defect scenario indicates that the entire y-axis position of the sealing area of ​​the substance deviates from the upper or lower limit of the preset specification. The sealing position distortion defect scenario indicates that the y-axis position of one side of the sealing area of ​​the substance deviates from the upper or lower limit of the preset specification. The first sealing thickness defect scenario indicates that the sealing thickness at least one of the multiple measurement locations of the substance deviates from the upper or lower limit of the preset specification, and the sealing thickness deviation between the multiple measurement locations is below a preset standard value. The second sealing thickness defect scenario indicates that the sealing thickness at least one of the multiple measurement locations of the substance deviates from the upper or lower limit of the preset specification, and the sealing thickness deviation between the multiple measurement locations is greater than the preset standard value.

[0023] According to an embodiment of the present invention, the method further includes the following steps: executing at least one of a sealing position defect scenario, a sealing position distortion defect scenario, a first sealing thickness defect scenario, and a second sealing thickness defect scenario; acquiring at least one of second user behavior information (touching or dragging at least a portion of the three-dimensional degasser) and second user condition information (changing adjustment parameters of the equipment operating unit); calibrating the three-dimensional degasser based on at least one of the acquired second user behavior information and second user condition information; calculating values ​​corresponding to one or more mass parameters respectively associated with the mass of the substance generated by the calibrated three-dimensional degasser; and calibrating the mass information associated with the mass of the substance generated by the calibrated three-dimensional degasser based on the calculated values ​​respectively associated with one or more mass parameters.

[0024] According to an embodiment of the present invention, after executing at least one of the following defect scenarios—a sealing position defect scenario, a sealing position distortion defect scenario, a first sealing thickness defect scenario, and a second sealing thickness defect scenario—the method further includes the following steps: acquiring third user behavior information corresponding to touching or dragging at least a portion of an area that corresponds to confirming the quality of the substance produced by the three-dimensional degasser; and outputting the cause of the substance's defect based on the third user behavior information.

[0025] According to one embodiment of the present invention, the method further includes the following step: outputting guidance information, which includes condition information and behavioral information required to resolve one or more defect scenarios.

[0026] A computer program is provided for performing the above-described method according to an embodiment of the present invention on a computer and stored in a computer-readable medium.

[0027] The effects of the invention

[0028] According to various embodiments of the present invention, before putting secondary battery production into operation, users can undergo training related to the operation of secondary battery production equipment and the response methods when defects occur through a simulation device. By training users in the above manner, losses caused by defects can be significantly reduced, and the efficiency of secondary battery production operations can be effectively improved.

[0029] According to various embodiments of the present invention, the simulation device can generate defect scenarios based on error information from the actual device to effectively generate optimal training content for the actual working environment.

[0030] According to various embodiments of the present invention, the simulation device can generate defect scenarios with multiple values ​​associated with faults in a secondary battery production device and provide them to the user, thereby enabling the user to resolve fault conditions that may occur in the actual device and effectively learn coping strategies for each condition.

[0031] According to various embodiments of the present invention, users can easily learn the operation methods of the secondary battery production device by simulating each stage according to their proficiency level.

[0032] According to various embodiments of the present invention, users can focus on training scenarios with insufficient proficiency by simply identifying and addressing the deficiencies in training.

[0033] According to various embodiments of the present invention, users can effectively improve their defect response capabilities by training using defect scenarios generated based on faults occurring in actual working environments.

[0034] The effects of this invention are not limited to those mentioned above. Those skilled in the art to which this invention pertains (hereinafter referred to as "skilled persons") can clearly understand other effects not mentioned based on the description of the scope of protection of the invention. Attached Figure Description

[0035] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings, wherein similar reference numerals denote similar constituent elements, but are not limited thereto.

[0036] Figure 1 An illustrative diagram showing a user using a simulation device according to an embodiment of the present invention.

[0037] Figure 2 A functional block diagram illustrating the internal configuration of a simulation device according to an embodiment of the present invention is provided.

[0038] Figure 3 This is an exemplary block diagram illustrating the operation of a simulation device according to an embodiment of the present invention.

[0039] Figure 4This is an example diagram illustrating a display screen displayed or output by the working part of the device according to an embodiment of the present invention.

[0040] Figure 5 This is an example diagram illustrating a display screen displayed or output by the working part of the device according to another embodiment of the present invention.

[0041] Figure 6 This is an example diagram illustrating a display screen displayed or output by the working section of the device according to another embodiment of the present invention.

[0042] Figure 7 This is an illustrative diagram illustrating a scenario where a sealing defect occurs according to an embodiment of the present invention.

[0043] Figure 8 This is an illustrative diagram showing a scenario of a sealing position distortion defect according to an embodiment of the present invention.

[0044] Figure 9 This diagram illustrates an example scenario of a sealing thickness defect where the sealing thickness deviation between multiple measurement locations of the main seal is below a standard value, according to an embodiment of the present invention.

[0045] Figure 10 This diagram illustrates a scenario where, according to an embodiment of the present invention, the seal thickness deviation between multiple measurement locations of the main seal exceeds a standard value, indicating a seal thickness defect.

[0046] Figure 11 An illustrative diagram illustrating a generated defect scenario according to an embodiment of the present invention.

[0047] Figure 12 An illustrative diagram is provided to show the generation and operation capability information and test results of an embodiment of the present invention.

[0048] Figure 13 An illustrative diagram is provided to illustrate a simulation method for secondary battery production according to an embodiment of the present invention.

[0049] Figure 14 The diagram illustrates an example of a degassing machine simulation method for secondary battery production according to an embodiment of the present invention.

[0050] Figure 15 An illustrative diagram is provided to illustrate a method for calculating test results according to an embodiment of the present invention.

[0051] Figure 16 The diagram illustrates an example of a defect scene generation method according to an embodiment of the present invention.

[0052] Figure 17 An illustrative diagram is provided to show a computing device used to perform the above methods and / or embodiments, etc.

[0053] Explanation of reference numerals in the attached figures

[0054] 100: Simulation device

[0055] 110: User

[0056] 120: Equipment Operation Department

[0057] 130: Equipment Working Section Detailed Implementation

[0058] The specific details for implementing the present invention will now be described in detail with reference to the accompanying drawings. However, specific descriptions of well-known functions or configurations will be omitted when it is determined that the following description may unnecessarily obscure the spirit of the invention.

[0059] In the accompanying drawings, the same or corresponding components are given the same reference numerals. Furthermore, in describing the following embodiments, repeated descriptions of the same or corresponding components may be omitted. However, even if the description of a component is omitted, it does not mean that the corresponding component belongs to a particular embodiment.

[0060] The advantages, features, and implementation methods of the embodiments disclosed in this specification can be referred to in conjunction with the appendix. Figure 1 The illustrated embodiments become clear. However, the present invention is not limited to the embodiments disclosed below, and can be implemented through various methods. This embodiment is only intended to enable those skilled in the art to fully understand the scope of the present invention.

[0061] The following is a brief explanation of the terminology used in this specification, and the disclosed embodiments will be described in detail. In this specification, widely used and common terms have been selected as much as possible while considering the functionality of the invention; however, this may vary based on the intent, conventions, or emergence of new technologies of those skilled in the art. Furthermore, in certain cases, terms arbitrarily chosen by the applicant may be used, in which case their meanings will be explained in detail in the corresponding descriptive sections of the invention. Therefore, the terms used in this invention should be defined based on their meanings and the entire content of this specification, and not merely on their names.

[0062] In this specification, unless expressly stated in the context, singular expressions include plural expressions. And, unless expressly stated in the context, plural expressions include singular expressions. Throughout this specification, when a part indicates that it includes another constituent element, it means, unless specifically contrary to this, that the other constituent element is included, and not excluded.

[0063] In this invention, terms such as "comprising" and "including" can indicate the presence of features, steps, operations, elements and / or constituent elements, and such terms do not exclude the addition of one or more other functions, steps, operations, elements, constituent elements and / or combinations thereof.

[0064] In this specification, when referring to a specific constituent element as "combined," "connected," "associated," or "reacting" with any other constituent element, it may mean that the specific constituent element is directly combined, connected, and / or associated or reacts with the other constituent elements, but is not limited thereto. For example, there may be more than one intermediate constituent element between a specific constituent element and other constituent elements. Furthermore, in this specification, the term "and / or" may include each of the more than one listed items or a combination of at least a portion of the more than one listed items.

[0065] In this invention, terms such as "first" and "second" are used only to distinguish specific constituent elements from other constituent elements, and such terms do not limit the aforementioned constituent elements. For example, a "first" constituent element can be used to specify a constituent element that has the same or similar form as a "second" constituent element.

[0066] In this invention, a "secondary battery" refers to a battery made of a substance whose redox process between an electric current and matter can be repeated multiple times. For example, to produce a secondary battery, processes such as mixing, coating, rolling pressing, slitting, notching and drying, lamination, folding and stacking, encapsulation, charging and discharging, degassing, double-side folding / single-side folding, and end-of-line testing can be performed. In this case, additional production equipment (devices) can be used to perform each process. Each piece of production equipment can operate according to user-set or modified adjustment parameters and settings.

[0067] In this invention, "user" refers to a worker who performs secondary battery production and operates secondary battery production equipment, and may include users trained through a simulation device of the secondary battery production equipment. Furthermore, "user account" refers to an ID generated or assigned to each user to enable the use of such a simulation device. Users can log in to the simulation device and perform simulations using their user accounts, but are not limited to this.

[0068] In this invention, "equipment operation unit", "device operation unit" and "quality verification unit" are software programs included in or associated with the simulator device and / or displayed on the input / output device. They refer to devices and / or programs that output images, videos, etc. of three-dimensional model devices, or can receive various inputs from the user and transmit them to the simulator device.

[0069] In this invention, the "three-dimensional model device" serves as a virtual device for realizing actual secondary battery production equipment. It operates by executing, modifying, and / or correcting images, videos, animations, etc., of the virtual device based on user input information (e.g., user input information and / or user behavior information). That is, the "operation of the three-dimensional model device" can include the images, videos, animations, etc., of the virtual device being executed, modified, and / or corrected. For example, the three-dimensional model device can include devices for performing mixing, coating, rolling pressing, slitting, notching and drying, lamination, folding and stacking, encapsulation, charging and discharging, degassing, double-side folding / single-side folding, end-of-line detection, etc. Additionally or alternatively, the three-dimensional model device can also be implemented by a two-dimensional model device. In other words, in this invention, the three-dimensional model device is not limited to a three-dimensional model and can include a two-dimensional model. Therefore, the term "three-dimensional model device" can include terms such as "two-dimensional model device," "animation model device," and "virtual model device."

[0070] In this invention, "user condition information" includes user input for setting or changing at least some of the conditions and / or values ​​in the adjustment parameters, or it can be information generated by any predetermined algorithm based on the corresponding user input.

[0071] In this invention, "user behavior information" includes user input such as touch input, drag input, pinch input, rotation input, etc., performed in at least a portion of the three-dimensional model device, or it can be information generated by any predetermined algorithm based on the corresponding user input.

[0072] In this invention, a "defect scenario" refers to a scenario that includes values, conditions, etc., used to change the operation of the 3D model device to a fault range or to change the quality information of a substance determined through the operation of the 3D model device to a defect range. For example, when a defect scenario occurs during the operation of the simulation device, the operation and quality information of the 3D model device can be changed based on the defect scenario. Furthermore, when the operation and quality information of the 3D model device changed through the defect scenario are corrected to the normal range, it can be determined that the corresponding defect scenario has been resolved.

[0073] In this invention, a "training scenario" can include a scenario for operating secondary battery production equipment. For example, if the secondary battery production equipment is a degasser, the training scenario can include processes such as degassing training, sealing training, and hot pressing training. Furthermore, the training scenario can include training on inspecting and changing the states of the various mechanisms constituting the three-dimensional model device, as well as training on adjusting parameters. The training scenario can also include defect scenarios.

[0074] In this invention, the "mixing process" refers to the process of preparing a slurry by mixing active materials, binders, and other additives with a solvent. For example, to prepare a slurry of a specific quality, the user can determine or adjust the addition ratios of active materials, conductive materials, additives, binders, etc. Furthermore, in this invention, the "coating process" can be the process of coating a foil with a specified amount and shape. For example, to perform coating with a specific quality and shape, the user can determine or adjust the die of the coating apparatus, the slurry temperature, etc.

[0075] In this invention, the "calendering process" refers to the process of pressing the coated electrode to a specified thickness between two rotating upper and lower rollers. For example, to maximize electrode capacity by increasing electrode density through the calendering process, the user can determine or adjust the spacing between the rollers. Furthermore, in this invention, the "slitting process" refers to the process of cutting the electrode to a specified width between two rotating upper and lower blades. For example, the user can determine or adjust various adjustment parameters to maintain a specified electrode width.

[0076] In this invention, the "cutting and drying process" refers to the process of removing moisture after stamping the electrode into a specified shape. For example, to perform stamping to achieve a shape of a specific quality, the user can determine or adjust the cutting height, length, etc. Furthermore, in this invention, the "lamination process" refers to the process of sealing and cutting the electrode and the separation membrane. For example, to perform cutting to a specific quality, the user can determine or adjust the values ​​corresponding to the X-axis, the Y-axis, etc.

[0077] In this invention, the "packaging process" refers to the process of attaching leads and tape to the assembled battery cell and encapsulating it in an aluminum bag. After the battery cell completes the packaging process, it undergoes a charge-discharge process during the activation process, which results in gas generation within the battery cell. The "degassing process" refers to the process of externally expelling the gas generated within the battery cell during the activation process and then resealing it.

[0078] Furthermore, in this invention, the "double-sided folding" process refers to the process of folding the aluminum bag of a completed battery cell twice on both sides or one end, while "single-sided folding" refers to the process of folding the aluminum bag of a completed battery cell once on both sides or one end. The "characteristic inspection process" refers to the process of using a measuring instrument or vision to confirm the thickness, weight, width, length, insulation voltage, and other characteristics of the battery cell before shipment. In the above processes, the user can adjust the conditions, values, etc., of various adjustment parameters or change the setting values ​​corresponding to the device to ensure that the user performs each process with a specific quality within the normal range.

[0079] Figure 1 This diagram illustrates a user 110 using the simulation device 100 according to an embodiment of the present invention. As shown, the simulation device 100, serving as a device for training secondary battery production workers (e.g., user 110), may include an equipment operation unit 120, an equipment working unit 130, etc. For example, user 110 can learn how to use the secondary battery production equipment or train for coping methods when the quality of the produced products is low by operating the simulation device 100, which virtually (e.g., two-dimensional, three-dimensional, etc.) simulates the actual secondary battery production equipment.

[0080] According to one embodiment of the present invention, the device operation unit 120 may include a plurality of adjustment parameters for determining the operation of the three-dimensional model device displayed on the device operation unit 130. The user 110 can perform, modify, and / or correct the operation of the three-dimensional model device by changing at least some of the conditions in the adjustment parameters. That is, the operation of the three-dimensional model device can be appropriately modified or corrected as the adjustment parameters input by the user 110 change.

[0081] The apparatus working unit 130 may include a three-dimensional model apparatus associated with the production of secondary batteries. This three-dimensional model apparatus may include, but is not limited to, three-dimensional models associated with mixing, coating, rolling, slitting, notching and drying, lamination, folding and stacking, encapsulation, charging and discharging, degassing, double-side folding / single-side folding, and characteristic testing equipment used in secondary battery production. It may also include three-dimensional models of any other apparatus used to generate secondary batteries.

[0082] According to one embodiment, user 110 can operate or change the configuration of the three-dimensional model device (at least a portion of the three-dimensional model device) included in the device working section 130 by performing touch input, drag input, pinch input, etc. In this case, user 110 can view or zoom in / out of any area of ​​the three-dimensional model device by changing the view, and can operate or change the configuration of the three-dimensional model device by performing touch input, etc. Although it has been described above that a three-dimensional model device associated with secondary battery production is displayed in the device working section 130, it is not limited to this. Depending on the secondary battery production process, the device associated with a specific process can be implemented or displayed by a two-dimensional model device.

[0083] The device operating unit 130 may include a unit for determining the mass of a substance generated by the three-dimensional model device. After the user changes at least one of a plurality of adjustment parameters in the device operation unit 120, the user can verify the mass of the substance in the device operating unit 130 to learn the change in the mass of the substance caused by adjusting each adjustment parameter.

[0084] At least one of the equipment operation unit 120 and the device working unit 130 may include quality information associated with the quality of the substance generated by the three-dimensional model device. This quality information may be generated based on predetermined criteria and / or algorithms by performing calculations on quality parameters, etc. The user 110 may confirm the quality information of the substance generated in response to changes in adjustment parameters and operation of the three-dimensional model device through at least one of the equipment operation unit 120 and the device working unit 130. Additionally or alternatively, depending on the secondary battery production process, an additional quality confirmation unit for displaying the quality information of the substance may also be separately configured in a specific process.

[0085] According to one embodiment of the present invention, quality information is displayed in association with the three-dimensional model device of the device working unit 130, or it can be confirmed through specific operation of the three-dimensional model device, or it can be additionally displayed in a portion of the screen of the three-dimensional model device, or it can be represented by changes in parameter settings of the equipment operation unit 120. For example, when the quality confirmation button displayed on the device working unit 130 is selected, at least one of the device working unit 130 and the equipment operation unit 120 can display or output quality information. In another example, quality information can be displayed or output through color changes or notifications in at least a portion of the three-dimensional model device. In another example, when the operation of the three-dimensional model device malfunctions or when the material produced in the three-dimensional model device has quality defects, the fault / defect area can be immediately displayed or output on the three-dimensional model device. In yet another example, parameter values ​​associated with the quality of the material generated by the three-dimensional model device can be displayed or output in the equipment operation unit 120. For example, if the secondary battery production equipment is a degassing and sealing device, it is necessary to reseal the degassed battery cells. In this case, the sealing position and sealing thickness are important factors in determining the quality of the material. Factors affecting the sealing position include the location of the sealing unit, while factors affecting the sealing thickness include contamination of the sealing tools, loose bolts, heating rod temperature (sealing temperature), sealing pressure, contact time, sealing stop, feeler gauge, etc. When any of these factors malfunction or parameter values ​​are entered incorrectly, defects such as sealing position and sealing thickness can be displayed or notifications can be output in at least one of the 3D model device and equipment operating parts. To selectively confirm more accurate quality, users can intuitively grasp the location and cause of defects through the quality confirmation process of the 3D model device.

[0086] exist Figure 1 The diagram illustrates a simulation device 100 comprising an equipment operation unit 120 and an equipment working unit 130, but it is not limited thereto. Depending on the type of 3D model device associated with the simulation device 100, the equipment operation unit 120 and the equipment working unit 130 can be of any number, and may also include any number of separate quality verification units. According to the configuration described above, before commencing operations, the user 110 performing secondary battery production can undergo training through the simulation device 100 related to the operation methods of the secondary battery production equipment, methods for handling defects, etc. Therefore, by training the user 110 in the aforementioned manner, not only can losses caused by defects be significantly reduced, but the efficiency of secondary battery production operations can also be effectively improved.

[0087] Figure 2This is a functional block diagram illustrating the internal configuration of a simulation device 100 according to an embodiment of the present invention. As shown, the simulation device 100 (e.g., at least one processor of the simulation device 100) may include a 3D model device working unit 210, a quality determination unit 220, a scene management unit 230, a test execution unit 240, a user management unit 250, etc., but is not limited thereto. The simulation device 100 communicates with the equipment operation unit 120 and the device working unit 130, and can send and receive data and / or information associated with the 3D model device.

[0088] The 3D model device working unit 210 can execute, modify, and / or correct the operation of the 3D model device displayed in the device working unit 130 through user operation. Furthermore, the operation of the equipment operation unit 120 can also be executed, modified, and / or corrected based on the execution, modification, and / or correction of the model device's operation. According to one embodiment, the 3D model device working unit 210 can acquire or receive user behavior information and / or user condition information using information input from a user (e.g., a secondary battery production worker). Subsequently, the 3D model device working unit 210 can use the acquired or received user behavior information and / or user condition information to determine or modify the operation of the 3D model device.

[0089] According to one embodiment of the present invention, user behavior information is generated based on user input, including touching and / or dragging at least a portion of a three-dimensional model device in the working section 130 of the device, and may include information such as changes in the set values ​​of the three-dimensional model device based on user input. For example, when the three-dimensional model device is a degassing and sealing device for secondary battery production, the user can move its position by touching or dragging the entire sealing unit, the lower part of the sealing unit, etc., touch or drag the sealing tool area to remove foreign objects attached to the sealing tool, touch or drag the sealing tool stop area to add or remove shim rings and adjust the height of the sealing tool stop, touch or drag the bolt area to tighten or loosen bolts, touch or drag the feeler gauge area to insert or remove feeler gauges, and touch a specific area of ​​the three-dimensional model device to zoom in or out of that area. In this case, user behavior information based on the sealing unit, sealing tool, sealing tool stop, bolt, feeler gauge, specific area, etc., can be generated.

[0090] According to one embodiment of the present invention, user condition information is information generated as user input based on conditions and / or values ​​of at least a portion of the multiple adjustment parameters included in the equipment operation unit 120. This information may include information such as the amount of change in condition values ​​used to determine the operation of the three-dimensional model device based on user input. For example, when the three-dimensional model device is a degassing and sealing device for secondary battery production, the user can change sealing temperature parameters, sealing pressure parameters, contact time parameters, etc., to specific values ​​through the equipment operation unit 120. In this case, user condition information based on the changed values ​​of the sealing temperature parameters, sealing pressure parameters, and contact time parameters can be generated.

[0091] As described above, when the 3D modeling device operates based on user condition information and / or user behavior information, the quality determination unit 220 can determine or generate quality information related to the quality of the substance generated by the operation of the 3D modeling device. That is, when the 3D modeling device is operating (when animations, videos, etc., of the 3D modeling device are being executed), different quality information can be determined or generated based on the setting values, condition values, etc., of the corresponding 3D modeling device. In other words, the user can change or adjust the quality of the substance generated by the corresponding 3D modeling device by changing adjustment parameters or by setting at least a portion of the 3D modeling device through touch input.

[0092] According to one embodiment, the quality determination unit 220 determines or extracts one or more quality parameters to determine the quality of the substance generated by the three-dimensional model device. During the operation of the three-dimensional simulation device, it can calculate values ​​corresponding to the determined one or more quality parameters based on the operation of the three-dimensional model device. The values ​​corresponding to the quality parameters can be calculated using a predetermined arbitrary algorithm. Furthermore, the quality determination unit 220 can generate quality information related to the quality of the substance generated by the three-dimensional model device based on the calculated values ​​corresponding to the one or more quality parameters. For example, when the three-dimensional model device is a degassing and sealing device for secondary battery production, if the user adjusts the sealing temperature parameter, sealing pressure parameter, and / or contact time parameter, a value corresponding to the sealing thickness can be calculated. In this case, the quality determination unit 220 can generate or output quality information including the calculated sealing thickness.

[0093] According to one embodiment, during or before the operation of the 3D modeling device, a defect scenario associated with a fault in the corresponding 3D modeling device may occur. As described above, when a defect scenario occurs, at least a portion of the setting values, condition values, and quality information of the 3D modeling device may be changed to an abnormal range based on the occurrence of the defect scenario.

[0094] According to one embodiment of the present invention, the scene management unit 230 determines one or more defect scenarios from multiple defect scenarios associated with the malfunction of the 3D model device and multiple defect scenarios associated with the quality of the material. Based on the determined defect scenario, at least one of the following can be modified: the operation of the 3D model device and the quality information associated with the quality of the material. For example, when the 3D model device is a degassing sealing device, the multiple defect scenarios may include sealing position defects, sealing position distortion defects, sealing thickness defects, etc. Sealing thickness defects include sealing thickness defects where the sealing thickness deviation between multiple measurement points of the main seal is below a standard value, and sealing thickness defects where the sealing thickness deviation between multiple measurement points of the main seal is greater than a standard value. The causes of such defects may be different. In this case, the scene management unit 230 can extract one or more from the sealing position defect scenario, sealing position distortion defect scenario, and sealing thickness defect scenario to determine it as a defect scenario, and can modify the adjustment parameters, operation, quality information, etc., of the 3D model device based on the determined defect scenario.

[0095] According to one embodiment of the present invention, when a defective scenario occurs, the user may change or adjust parameters or modify the settings of the 3D model device to resolve the defective scenario. In this case, the scenario management unit 230 receives at least one of user behavior information and user condition information required to resolve one or more determined defective scenarios, and can correct the operation of the modified 3D model device based on at least one of the received user behavior information and user condition information. Furthermore, during the execution of the corrected 3D model device operation, the scenario management unit 230 can calculate values ​​corresponding to multiple quality parameters associated with the quality of the substance generated by the 3D model device based on the executed 3D model device operation, and can correct the quality information associated with the quality of the substance generated by the corrected 3D model device based on the calculated values ​​corresponding to the multiple quality parameters.

[0096] Then, the scenario management unit 230 can use the corrected quality information to determine whether one or more defect scenarios have been resolved. For example, if the quality of the material is within the normal range of the predetermined specification, the scenario management unit 230 can determine that the defect scenario has been resolved, but it is not limited to this. If the values ​​of each quality parameter included in the quality information correspond to the normal range or specific value of the predetermined specification, the scenario management unit 230 can determine that the defect scenario has been resolved. Additionally or alternatively, if the value calculated by providing each quality parameter to an arbitrary algorithm corresponds to the predetermined normal range, the scenario management unit 230 can determine that the defect scenario has been resolved.

[0097] According to one embodiment of the present invention, the setting values, condition values, etc. of the three-dimensional model device that change to a fault range due to a defect scenario can be predetermined according to each defect scenario, but are not limited thereto. For example, a defect scenario can be generated based on error information generated when an actual secondary battery production equipment malfunctions. That is, when an external device (e.g., the actual secondary battery production equipment) associated with the three-dimensional model device malfunctions, the scenario management unit 230 obtains error information associated with the fault and can generate a defect scenario associated with the fault of the three-dimensional model device based on the obtained error information. For example, when a fault occurs in the charge-discharge process, which is a pre-degassing process, the scenario management unit 230 can obtain the various adjustment parameter values ​​and device setting values ​​at the time of the fault as error information. The scenario management unit 230 can generate a defect scenario so that the various adjustment parameter values ​​and device setting values ​​obtained from the external device correspond to the three-dimensional model device. With the configuration described above, the simulation device 100 can generate defect scenarios based on the error information of the actual device to effectively generate the best training content for the actual working environment.

[0098] According to one embodiment, the test execution unit 240 can use corrected quality information to determine whether one or more defect scenarios have been resolved. When it is determined that one or more defect scenarios have been resolved, it can calculate the execution time, loss value, etc., of one or more defect scenarios during the execution of the one or more defect scenarios. For example, the loss value may include material loss value, etc., and can be calculated based on the user's response time, user input value, etc., using a predetermined arbitrary algorithm. Furthermore, the test execution unit 240 can generate operational capability information of the three-dimensional model device of the user account based on the calculated execution time and loss value. Here, the user account refers to the account of the worker using the simulation device 100, and the operational capability information, as information representing the corresponding user's work proficiency, may include work speed, target value proximity, evaluation score, etc. Additionally, when the corresponding user resolves all predetermined types of defect scenarios, the test execution unit 240 can determine whether the user has passed the simulation training based on the operational capability information of each defect scenario.

[0099] User management unit 250 can be used to manage user accounts associated with users utilizing simulation device 100, such as login, modification, and deletion. According to one embodiment, a user can utilize simulation device 100 using their logged-in user account. In this case, user management unit 250 can store and manage information on whether each user account executes each defect scenario and the corresponding operational capabilities for each defect scenario in any database. Scenario management unit 230 can extract information associated with a specific user account stored in the database using the information stored in user management unit 250, and can extract or determine at least one scenario from multiple defect scenarios based on the extracted information. For example, scenario management unit 230 can generate or provide defect scenarios with operation speeds lower than the average operation speed based only on information associated with the user account, but it is not limited to this; defect scenarios can also be extracted or determined using any other benchmark or combination of benchmarks.

[0100] exist Figure 2 Although the various functional configurations included in the analog device 100 are described separately, this is only for the purpose of helping to understand the present invention; a single computing device may also perform more than two functions. Furthermore, in Figure 2 Although the simulation device 100 is shown to be separate from the equipment operation unit 120 and the device working unit 130, this is not a limitation; the equipment operation unit 120 and the device working unit 130 may be included in the simulation device 100. With the configuration described above, the simulation device 100 can generate and provide users with defect scenarios with multiple values ​​associated with faults in secondary battery production equipment. This allows users to resolve potential fault conditions that may occur in actual equipment and effectively learn coping strategies for each situation.

[0101] Figure 3 This is an exemplary block diagram illustrating the operation of a simulation device 100 according to an embodiment of the present invention. As shown in the figure, the simulation device ( Figure 1 The operation of the secondary battery production unit (100) can be guided through a Human-Machine Interface (HMI) process, including steps 310, 320, 330, 340, 350, and 360. In other words, users can train themselves on how to operate the secondary battery production unit through steps 310, 320, 330, 340, 350, and 360. For new users, an additional level test step can be performed before executing the HMI guidance step 310 to assess the unit's operational capabilities before simulation learning.

[0102] HMI guidance step 310 refers to the steps of learning the types of adjustment parameters included in the equipment operation section, the operation methods of the adjustment parameters, etc. For example, work instructions and / or guidance information indicating the types of adjustment parameters, the operation methods of the adjustment parameters, etc., can be displayed or output in the equipment operation section, device operation section, etc. Additionally, certain areas of the screen can be lit up or activated so that the user can perform the work corresponding to the work instructions and / or guidance information. In this case, the user trains the user on how to use the equipment operation section by operating the conditions and / or values ​​of any adjustment parameter corresponding to the work instructions and / or guidance information. When the user touches a button for a predetermined time or enters the correct value corresponding to any parameter according to the work instructions and / or guidance information, the next step can be executed or a button that allows entering the next step (e.g., the next button, etc.) can be displayed or activated.

[0103] Process and equipment guidance step 320 refers to the steps that describe the secondary battery production process or equipment. When the 3D model device is a degassing device, process and equipment guidance step 320 may include descriptions of the degassing process, the main sealing process, and the hot pressing process. Specifically, the degassing process refers to the process of pre-sealing (degassing sealing) the bottom of the hole after creating a vacuum by perforating the gas bag of the battery cell to remove the gas inside the battery cell; the main sealing process refers to the process of cutting the gas bag of the battery cell after the degassing process and resealing the area where the wings will form in the subsequent characteristic testing process; and the hot pressing process refers to the process of pressing the surface of the resealed battery cell under high temperature and high pressure to make its surface smooth.

[0104] Equipment operation training step 330 refers to the step of training the drive of the 3D model device. When the 3D model device is a degassing device, equipment operation training step 330 can be a step that performs at least one of the following: 3D degassing operation step, autonomous inspection step, equipment stop step, battery cell data deletion step, and batch end / batch exchange step. In the 3D degassing operation step, operations such as loading, degassing, pouch cutting, main sealing, weight measurement, insulation voltage measurement, hot pressing, and unloading can be trained by operating the 3D simulation device. The autonomous inspection step, as an operation to confirm the quality of the material produced by the 3D model device, can perform checks on the mold sealing gap, sealing width, distance between the main sealing and degas sealing, and sealing thickness for battery cells that have completed main sealing.

[0105] In equipment operation training step 330, the three-dimensional degassing operation step may be a step that provides the device working unit 130 with guidance information for performing a series of operations such as loading, degassing, pouch cutting, main sealing, weight measurement, insulation voltage measurement, hot pressing, and unloading, and obtains at least one of user behavior information and user condition information to confirm whether the corresponding operation has been performed. Furthermore, in equipment operation training step 330, the autonomous inspection step may be a step that provides the device working unit 130 with guidance information for confirming the quality of mold sealing gap, sealing width, the distance between the main sealing and degas sealing, sealing thickness, etc., and obtains at least one of user condition information and user behavior information to confirm whether the user has checked the mold sealing gap, sealing width, the distance between the main sealing and degas sealing, sealing thickness, etc.

[0106] Condition adjustment training step 340 refers to the step of learning the mass change of the substance generated by the 3D model device based on the values ​​of the adjustment parameters of the equipment operation section and the condition of the device's working section. In equipment operation training step 330, the mass of the substance is confirmed through an autonomous inspection step. In condition adjustment training step 340, the values ​​of the adjustment parameters are adjusted or the mechanism of the 3D model device is inspected and corrected. Subsequently, training is conducted to repeatedly perform some operations of the equipment operation training steps. For example, condition adjustment training step 340 refers to the steps related to degassing and sealing operations, such as learning the overall position adjustment of the sealing unit used to determine the sealing position of the substance, and the position adjustment of the battery cell used to determine the distortion (θ-direction distortion) of the sealing position of the substance. Furthermore, it can refer to the steps of learning to clean the sealing tool, check for bolt loosening, check and adjust the heating rod temperature (sealing temperature), adjust the sealing pressure, adjust the contact time, adjust the height of the sealing tool stop, insert / remove the feeler gauge, and adjust the tilting stop, etc., to determine the sealing thickness of the substance. In condition adjustment training step 340, during each learning session, guidance information is displayed on the screen of the device's operating section, and certain areas of the screen of the device's operating section and / or device's operating section can be illuminated or activated. In this case, the user can learn methods for inputting or operating the settings of the device's operating section and / or the 3D model device corresponding to the guidance information. After the user completes a task, the next step can be executed, or a button to proceed to the next step (e.g., a NEXT button) can be displayed or activated. Furthermore, in condition adjustment training step 340, after adjusting or inputting the settings of the device's operating section or performing corrections by adjusting the mechanism of the device's operating section, the user can return to device operation training step 300 to run the device again, and to confirm the results of the second run, a quality re-confirmation check, similar to the autonomous check, can be performed.

[0107] Defect Case Training Step 350 refers to the steps where the user identifies defects occurring during the operation of the secondary battery production unit and learns how to handle them. For example, in the case of degassing and sealing operations, defects such as sealing position defects, sealing position distortion defects, and sealing thickness defects may occur, and the causes of each defect can be different. Even for the same sealing thickness defect, the corresponding defect solutions may differ depending on the cause. In Defect Case Training Step 350, the type and value of the adjustment parameters required to resolve the defect, the settings of the 3D model device, and the handling procedures of the 3D model device's mechanisms can be displayed or output simultaneously with the occurrence of the defect. The user can handle the defect and train on defect solution methods based on the information displayed above.

[0108] Defect case training step 350 can be a step that allows users to master defect resolution methods by repeatedly processing or resolving individual defect scenarios or combinations thereof from multiple defect scenarios associated with the secondary battery production device. For example, users can directly select one defect scenario from multiple defect scenarios for training, but are not limited to this; they can also train on defect scenarios randomly determined by the simulator device. In this case, defect case training step 350 can display or output guidance information including conditional and behavioral information required to resolve each defect. Specifically, when the user operates specific adjustment parameters or changes the settings of the 3D model device, or operates the 3D model device, the operation of the 3D model device and the quality of the materials associated with the 3D model device can be changed in real time. By confirming the changed quality, users can improve their proficiency in handling defects through repeated training.

[0109] Test Step 360 refers to the steps taken to evaluate a user's operational capabilities by testing their ability to resolve defective scenarios. For example, as a user resolves various defective scenarios, their operational capabilities can be measured or evaluated based on factors such as execution time and loss values. By confirming these capabilities and determining whether the test passed, users can perform additional learning or training for defective scenarios where they have insufficient training. Furthermore, Test Step 360 allows for additional assessment of the user's proficiency improvement by comparing their pre-learning operational capability evaluation score, as measured in the level testing step.

[0110] exist Figure 3 In this process, each step is executed sequentially, but not exclusively; some steps may be omitted. Furthermore, the execution order of each step can be changed, and the steps can be executed repeatedly. For example, after testing step 360, defect case training step 350 can be executed again. With the configuration described above, users can easily learn the operation of the secondary battery production unit by simulating the execution of each step based on their operational proficiency.

[0111] Figure 4 This diagram illustrates an example of a display screen displayed or output by the device working unit 130 according to an embodiment of the present invention. As shown, the device working unit 130 can display or output text, images, videos, etc., including a minimap 410, a 3D model device 420, a user guide 430, and a next button 440, on the display screen. Figure 4 The illustration shows specific areas on the display screen, such as mini-map 410, 3D model device 420, user guide 430, and next button 440, but it is not limited to these. Various texts, images, videos, etc. can be displayed in any area of ​​the display screen, and can also be displayed in overlapping manner.

[0112] Minimap 410 briefly represents the entire degassing unit used in secondary battery production, with rectangles indicating the approximate locations of areas within the entire degassing unit displayed on the 3D model unit 420. If the components displayed on the 3D model unit 420 are changed, the position and size of the rectangles represented by minimap 410 can be changed in real time. For example, this minimap 410 can function as a location guide for the degassing unit.

[0113] The 3D modeling device 420 can realize 3D images, videos, etc., of secondary battery production equipment in a 3D form. The 3D modeling device 420 can operate based on user-inputted condition information and / or user behavior information.

[0114] User guidance 430 includes information required for the operation of the 3D model device 420, conditional information and behavioral information required to resolve defect scenarios, etc., which can guide the user to perform the next action. That is, when the user does not know how to operate the simulation device, the user can also use user guidance 430 to train the user on how to operate the simulation device and how to deal with defects.

[0115] When the user guide 430, as shown above, is used to determine the condition values, setting values, etc. of the 3D model device, or to start the 3D model device 420, the corresponding steps are completed, and the next step (NEXT) button 440 for proceeding to the next step can be activated. By selecting the activated next step (NEXT) button 440 through touch input or the like, the user can perform the training corresponding to the next step.

[0116] Although not illustrated, the device's operating unit 130 can also display a work instruction document, which is a document including the initial settings and condition values ​​of the 3D model device 420. The work instruction document can be predetermined or generated using any algorithm. For example, the simulation device can receive the content of a work instruction document used to start the actual secondary battery production equipment to provide it, or calculate the initial settings and condition values ​​of the 3D model device 420 based on multiple input work instructions to generate a new work instruction document. The 3D model device 420 can be a 3D image, video, or other representation of the secondary battery production equipment in a 3D form. The device's operating unit 130 can also display self-inspection and quality confirmation results via pop-up windows. Depending on requirements, it can also additionally display a toolbox including icons for various tools used to operate the 3D model device (e.g., a wiping cloth for cleaning sealing tools).

[0117] Figure 5 This diagram illustrates an example of a display screen displayed or output by the device working unit 130 according to another embodiment of the present invention. As shown, the device working unit 130 can display or output text, images, videos, etc., including multiple defect scenarios 510, 520, 530, etc., on the display screen. Figure 5The diagram illustrates specific areas of the display screen, such as the first defect scene 510, the second defect scene 520, and the third defect scene 530, but it is not limited to these. Various texts, images, videos, etc., can be displayed in any area of ​​the display screen.

[0118] According to one embodiment of the present invention, each defect scenario may include the content and difficulty of the defect scenario. For example, the first defect scenario 510 may be a low-difficulty sealing position defect, the second defect scenario 520 may be a medium-difficulty sealing thickness defect caused by sealing temperature, and the third defect scenario 530 may be a high-difficulty sealing thickness defect caused by sealing stop. The user can select at least a portion of the multiple defect scenarios 510, 520, and 530 displayed on the display screen through touch input or the like to perform training on the selected defect scenario.

[0119] Additionally or alternatively, one of the multiple defect scenarios 510, 520, and 530 can be determined by a predetermined algorithm, etc. For example, the simulation device can determine the defect scenario or combination of defect scenarios with low job proficiency using the user account (or information associated with the user account) used by the user to perform training. The user's job proficiency can be calculated or determined based on the test results of each defect scenario, but is not limited to this. With the configuration described above, the user can easily identify and handle undertrained defect scenarios, thus focusing training only on defect scenarios with low job proficiency.

[0120] Figure 6 This diagram illustrates an example of a display screen displayed or output by the device operating unit 130 according to another embodiment of the present invention. As shown, the device operating unit 130 can display or output on the display screen sealing position quality confirmation result information 611 for confirming sealing position related defects, position condition adjustment text guidance information 612 including condition information and behavior information for resolving the confirmed sealing position related defects in text form, and position condition adjustment image guidance information 613 including condition information and behavior information for resolving the confirmed sealing position related defects in image form. Furthermore, the device operating unit 130 can display or output on the display screen sealing thickness quality confirmation result information 631 for confirming sealing thickness related defects, thickness condition adjustment text guidance information 632 including condition information and behavior information for resolving the confirmed sealing thickness related defects in text form, and thickness condition adjustment image guidance information 633 including condition information and behavior information for resolving the confirmed sealing thickness related defects in image form. Furthermore, the device working unit 130 can display or output a degassing and sealing model 620 that is virtually implemented by the degassing and sealing device for actual secondary battery production on the display screen. The position condition adjustment image guide 613 and the thickness condition adjustment image guide 633 can be displayed or output in association with the degassing and sealing model 620.

[0121] According to one embodiment of the present invention, the sealing position quality confirmation result can be output as good / defective based on its cause and whether it is defective. When the sealing position quality confirmation result is defective, text guidance information 612 and image guidance information 613 for adjusting the position conditions can be output. Furthermore, the sealing thickness quality confirmation result can be output as good / defective based on its cause and whether it is defective. When the sealing thickness quality confirmation result is defective, text guidance information 631 and image guidance information 633 for adjusting the thickness conditions to resolve the corresponding defect can be output.

[0122] Figure 7 This is an illustrative diagram showing a scenario of a sealing defect occurring according to an embodiment of the present invention. Simulation device ( Figure 1 The device (100) can determine one or more defect scenarios associated with the failure of the three-dimensional degasser, and modify at least one of the following based on the determined defect scenario: the operation of the three-dimensional degasser and quality information associated with the quality of the substance. The multiple defect scenarios may include sealing position defect scenarios. For example, a sealing position defect scenario refers to a scenario where the entire y-axis position of the sealing area 710 of the substance deviates from the upper or lower limit of a preset specification. According to one embodiment, when one or more determined defect scenarios include a sealing position defect scenario, the simulation device can change images, videos, or animations representing points, lines, surfaces, etc., of the sealing position of the substance generated by the three-dimensional degasser included in the device's working unit 130 to a predetermined area.

[0123] When a sealing position defect occurs, the device operating unit 130 can issue a notification to allow the user to confirm the quality and guide them to adjust the overall position of the sealing unit's Y-axis positioning guide. The user can respond to the sealing position defect by touching or dragging a specific area displayed on the device operating unit 130's three-dimensional degasser. In other words, the simulation device can understand the cause of the defect by receiving user behavior information from touching or dragging at least a portion of the area corresponding to the quality confirmation of the three-dimensional degasser, and can change the overall position of the sealing unit's Y-axis positioning guide by receiving user behavior information from touching or dragging at least a portion of the area corresponding to the overall Y-axis positioning guide of the sealing unit, thereby correcting the defective substance to normal.

[0124] Furthermore, the simulation device can determine whether a sealing location defect scenario has been resolved based on at least a portion of the calibrated material. For example, when user behavior information is generated based on performing touch input, drag input, etc., on a predetermined area in a predetermined sequence, the simulation device can determine that the sealing location defect scenario has been resolved. Also, when user condition information changes to a specified value, the simulation device can determine that the sealing location defect scenario has been resolved. If the scenario is determined to be resolved, it means that the predetermined area of ​​the sealing location defect can disappear from the image, video, and / or animation of the three-dimensional degasser or material, and the corresponding material's quality parameters displayed in the device's working section 130 can be corrected to normal.

[0125] Figure 8 This is an illustrative diagram showing a scenario of a sealing position distortion defect according to an embodiment of the present invention. Simulation device ( Figure 1 The device (100) can determine one or more defect scenarios associated with the failure of the three-dimensional degasser, and modify at least one of the following based on the determined defect scenarios: the operation of the three-dimensional degasser and quality information associated with the quality of the substance. The multiple defect scenarios may include a sealing position distortion defect scenario. For example, a sealing position distortion defect scenario refers to a scenario where the sealing area 810 of the substance is distorted along the θ direction because the y-axis position on one side of the sealing area 810 is greater than the upper limit or less than the lower limit of a preset specification. That is, in a sealing position distortion defect scenario, although the mold sealing gap on one side of the sealing area 810 is within the specification, the mold sealing gap on the other side may be greater than the upper limit or less than the lower limit of the specification. According to one embodiment, when the determined defect scenarios include a sealing position distortion defect scenario, the simulation device can change images, videos, and animations representing points, lines, surfaces, etc., of the sealing area of ​​the substance generated by the three-dimensional degasser included in the device's working unit 130 to a predetermined area.

[0126] When such a sealing position distortion defect occurs, the device operating unit 130 can issue a notification to allow the user to confirm the quality and guide them to adjust the y-axis positioning guide side of the sealing unit. The user can address the sealing position distortion defect by touching or dragging a specific area displayed on the three-dimensional degasser of the device operating unit 130. In other words, the simulation device can understand the cause of the defect by receiving user behavior information from touching or dragging at least a portion of the area corresponding to the quality confirmation of the three-dimensional degasser, and can adjust the y-axis positioning guide side of the sealing unit by receiving user behavior information from touching or dragging at least a portion of the area corresponding to the y-axis positioning guide side of the sealing unit, thereby correcting the defective substance to normal.

[0127] Furthermore, the simulation device can determine whether the sealing position distortion defect scenario has been resolved based on at least a portion of the calibrated material. For example, when user behavior information is generated based on performing touch input, drag input, etc., on a predetermined area in a predetermined sequence, the simulation device can determine that the sealing position distortion defect scenario has been resolved. Also, when user condition information changes to a predetermined value, the simulation device can determine that the sealing position distortion defect scenario has been resolved. If the scenario is determined to be resolved, it means that the predetermined area of ​​the sealing position distortion defect can disappear from the image, video, and / or animation of the three-dimensional degasser or material, and the corresponding material's quality parameters displayed in the device's working section 130 can be corrected to normal.

[0128] Figure 9 This diagram illustrates a scenario where the seal thickness deviation between multiple measurement locations of the main seal in an embodiment of the present invention is below a standard value, indicating a seal thickness defect. Simulation device ( Figure 1 The device (100) can determine one or more defect scenarios associated with the failure of the three-dimensional degasser, and modify at least one of the following based on the determined defect scenarios: the operation of the three-dimensional degasser and quality information associated with the quality of the substance. The multiple defect scenarios may include sealing thickness defect scenarios where the sealing thickness deviation between multiple measurement locations of the main seal is below a standard value. For example, a sealing thickness defect scenario where the sealing thickness deviation between multiple measurement locations of the main seal is below a standard value refers to a scenario where the sealing thickness at at least one of the multiple thickness measurement locations 910, 920, and 930 of the substance deviates from the upper or lower limit of a preset specification, and the sealing thickness deviation between the measurement locations of the main seal is below a preset standard value. According to one embodiment, when the determined defect scenarios include sealing thickness defect scenarios with deviations below a standard value, the simulation device can change images, videos, and animations representing points, lines, surfaces, etc., of the sealing thickness of the substance generated by the three-dimensional degasser included in the device's working unit 130 to a predetermined area.

[0129] When a sealing thickness defect occurs where the deviation is below the standard value, the device operating unit 130 can issue a notification to allow the user to confirm the quality and guide them to adjust the adjustment parameters (e.g., sealing temperature, sealing pressure, contact time) associated with the sealing thickness adjustment of the equipment operating unit 120. The user can address the sealing thickness defect scenario by touching or dragging a specific area of ​​the three-dimensional degasser displayed on the device operating unit 130 and changing the adjustment parameters of the equipment operating unit 120. In other words, the simulation device can understand the cause of the defect by receiving user behavior information from the user touching or dragging at least a portion of the area corresponding to the quality confirmation of the three-dimensional degasser, and can receive user condition information regarding changes in the adjustment parameters associated with the sealing thickness adjustment to correct the defective substance to normal. For example, when the sealing thickness is less than the lower limit of the specification, the sealing thickness can be increased by decreasing the sealing temperature parameter setting, the sealing pressure parameter setting, or the contact time parameter setting. Furthermore, when the sealing thickness is greater than the upper limit of the specification, the sealing thickness can be decreased by increasing the sealing temperature parameter setting, the sealing pressure parameter setting, or the contact time parameter setting.

[0130] Furthermore, the simulation device can determine whether a sealing thickness defect scenario with a deviation below the standard value has been resolved based on at least a portion of the calibrated material. For example, when user behavior information is generated based on performing touch input, drag input, etc., on a predetermined area in a predetermined sequence, the simulation device can determine that a sealing thickness defect scenario with a deviation below the standard value has been resolved. Also, when user condition information changes to a specified value, the simulation device can determine that a sealing thickness defect scenario with a deviation below the standard value has been resolved. If the defect scenario is determined to be resolved, it means that the predetermined area of ​​the sealing thickness defect can disappear from the image, video, and / or animation of the three-dimensional degasser or material, and the corresponding material's quality parameters displayed in the device's working section 130 can be corrected to normal.

[0131] Figure 10 This diagram illustrates a scenario where the seal thickness deviation between multiple measurement locations of the main seal in an embodiment of the present invention exceeds a standard value, representing a seal thickness defect. Simulation device ( Figure 1The device (100) can determine one or more defect scenarios associated with the failure of the three-dimensional degasser, and modify at least one of the following based on the determined defect scenarios: the operation of the three-dimensional degasser and quality information associated with the quality of the substance. The multiple defect scenarios may include sealing thickness defect scenarios where the sealing thickness deviation between multiple measurement locations of the main seal is greater than a standard value. For example, a sealing thickness defect scenario where the deviation is greater than a standard value refers to a scenario where the sealing thickness at at least one of the multiple thickness measurement locations 1010, 1020, and 1030 of the substance deviates from the upper or lower limit of a preset specification, and the sealing thickness deviation between the measurement locations of the main seal is greater than a preset standard value. According to one embodiment, when one or more determined defect scenarios include sealing thickness defect scenarios where the deviation is greater than a standard value, the simulation device can change images, videos, and animations representing the sealing thickness of the substance generated by the three-dimensional degasser included in the device's working unit 130, such as points, lines, and surfaces, to a predetermined area.

[0132] When a sealing thickness defect occurs with a deviation greater than the standard value, the device operating unit 130 can issue a notification to allow the user to confirm the quality and guide them to clean the sealing tool. The user can address the sealing thickness defect by touching or dragging a specific area displayed on the three-dimensional degassing machine of the device operating unit 130. In other words, the simulation device can understand the cause of the defect by receiving user behavior information from touching or dragging at least a portion of the area corresponding to the quality confirmation of the three-dimensional sealing machine, and can remove foreign matter attached to the sealing tool by receiving user behavior information from touching or dragging at least a portion of the area corresponding to the sealing tool, thereby correcting the defective material to normal. Then, the simulation device can determine whether the sealing thickness defect with a deviation greater than the standard value has been resolved based on at least a portion of the corrected material. For example, when user behavior information is generated based on performing touch input, drag input, etc., on a predetermined area in a predetermined order, the simulation device can determine that the sealing thickness defect has been resolved. Furthermore, when user condition information changes to a specified value, the simulation device can determine that the sealing thickness defect has been resolved. If the defect scenario is determined to be resolved, it means that the predetermined area of ​​the sealing thickness defect can be removed from the image, video and / or animation of the 3D packaging machine or the material, and the corresponding material quality parameters displayed in the working section 130 of the device can be corrected to normal.

[0133] However, even if cleaning the sealing tool fails to correct the material to normal, the simulation device allows the user to confirm the quality and guides them to perform at least one of the following actions: adjusting the height of the sealing tool stop in the equipment operation unit 120 and inserting / removing the feeler gauge. The simulation device can determine the cause of the defect by receiving user behavior information from touching or dragging at least a portion of an area corresponding to the quality confirmation of the three-dimensional degasser. Based on the cause of the defect, it can receive user behavior information from touching or dragging at least a portion of the sealing tool stop and the feeler gauge to adjust the height of the sealing tool stop or insert or remove the feeler gauge from the sealing tool, thereby correcting the defective material to normal.

[0134] For example, when the sealing thickness at either the left or right measuring point is less than the lower limit of the specification, a gasket can be added to the stop of the sealing tool on one side, or a feeler gauge can be removed from the sealing tool on one side to increase the sealing thickness on that side. Conversely, when the sealing thickness at either the left or right measuring point is greater than the upper limit of the specification, a gasket can be removed from the stop of the sealing tool on one side, or a feeler gauge can be inserted into the sealing tool on one side to decrease the sealing thickness on that side. Furthermore, when the sealing thickness at the center measuring point deviates significantly from the sealing thickness at the two measuring points on either side, gaskets can be added or removed, or feeler gauges can be removed or inserted, to reduce the deviation between the center and the two measuring points, thereby correcting the sealing thickness.

[0135] Furthermore, the simulation device can determine whether a sealing thickness defect scenario has been resolved based on at least a portion of the calibrated material. For example, when user behavior information is generated based on touch input, drag input, etc., performed on a predetermined area in a predetermined sequence, the simulation device can determine that the sealing thickness defect scenario has been resolved. Also, when user condition information changes to a specified value, the simulation device can determine that the sealing thickness defect scenario has been resolved. If the scenario is determined to be resolved, it means that the predetermined area of ​​the sealing thickness defect can disappear from the image, video, and / or animation of the three-dimensional degasser or material, and the corresponding material's quality parameters displayed in the device's working section 130 can be corrected to normal.

[0136] exist Figures 7 to 10 The illustration shows an image, video, and / or animation representing a portion of a three-dimensional degasser displayed in the device's working section 130, but is not limited thereto. The device's working section 130 may include images, videos, and / or animations of the same shape as an actual degasser. With the configuration described above, users can effectively train in advance on methods for dealing with problems that may occur during the degassing process, and the simulation device can effectively determine whether a problem has been resolved based on the user's input or received actions.

[0137] exist Figures 7 to 10Although the document describes scenarios such as sealing position defects, sealing position distortion defects, sealing thickness defects with deviations below the standard value, and sealing thickness defects with deviations greater than the standard value, multiple defect scenarios may also include other defect scenarios that may occur in the degasser.

[0138] Furthermore, in Figures 7 to 10 The document describes that sealing position defect scenario, sealing position torsion defect scenario, sealing thickness defect scenario with deviation below the standard value, and sealing thickness defect scenario with deviation greater than the standard value are driven individually, but are not limited to these; two or more defect scenarios can also occur in combination.

[0139] Figure 11 The diagram illustrates the generation of a defect scenario 1122 according to an embodiment of the present invention. As shown, the simulation device 100 communicates with an external device 1110 (e.g., a secondary battery production equipment), a defect scenario database (DB) 1120, etc., and can receive and receive data and / or information required to generate the defect scenario 1122.

[0140] According to one embodiment, when the external device 1110 malfunctions, the simulation device 100 can receive or acquire error information 1112 associated with the malfunction of the external device 1110. The error information 1112 may include the operating information of the external device 1110 at the time of the malfunction and the amount of mass change of the substance generated by the external device 1110. In this case, the simulation device 100 can determine the values ​​of the condition values, set values, and / or mass parameters of the three-dimensional model device (e.g., a three-dimensional degasser) corresponding to the corresponding error information 1112, and can generate a defect scenario 1122 having the determined values ​​of the condition values, set values, and / or mass parameters of the three-dimensional model device. The defect scenario 1122 generated in the above manner can be stored in a defect scenario database 1120 for management. For example, the simulation device 100 can utilize any algorithm and / or a learned machine learning model for generating the defect scenario 1122 to determine the values ​​of the condition values, set values, and / or mass parameters of the three-dimensional model device corresponding to the error information 1112, and generate the defect scenario 1122.

[0141] According to one embodiment, the processor converts the operating information of the external device 1110 into a first set of parameters associated with the operation of the three-dimensional model device, and converts the mass change of the substance generated by the external device 1110 into a second set of parameters associated with the mass information of the substance generated by the three-dimensional model device. Furthermore, the processor uses the converted first and second sets of parameters to determine the fault category occurring in the external device 1110, and can generate a defect scenario based on the determined category, the first set of parameters, and the second set of parameters.

[0142] exist Figure 11 The description outlines the generation of defect scenarios when external device 1110 malfunctions, but is not limited to this. For example, defect scenarios can be predetermined by any user. In another example, defect scenarios can also be randomly determined within a predetermined abnormal range, generating setpoints, condition values, and quality information associated with the 3D model device. Through the configuration described above, users can train their skills using defect scenarios generated based on malfunctions occurring in actual working environments to effectively improve their ability to handle defects.

[0143] Figure 12 This diagram illustrates the generation of operational capability information 1230 and test results 1240 according to an embodiment of the present invention. As described above, when a defective scenario occurs, the simulation device 100 can receive user condition information 1210, user behavior information 1220, etc. from the user, and determine whether the defective scenario has been resolved based on the received user condition information 1210, user behavior information 1220, etc.

[0144] According to one embodiment, when a defect scenario is determined to be resolved, the simulation device 100 can calculate the execution time and loss value of the defect scenario during its execution, and generate operational capability information 1230 of the 3D model device for the user account based on the calculated execution time and loss value. In this case, test results 1240 can also be output along with the operational capability information 1230. For example, a user associated with a corresponding user account can perform tests for any defect scenario. When all defect scenarios associated with a specific 3D model device are resolved according to a predetermined benchmark, the simulation device 100 can determine that the corresponding user has passed the simulation test of the specific 3D model device.

[0145] Figure 13 This diagram illustrates an embodiment of a simulation method S1300 for secondary battery production according to the present invention. The simulation method S1300 for secondary battery production can be executed by a processor (e.g., at least one processor of a simulation device). As shown, the simulation method S1300 for secondary battery production can be started (S1310) by outputting a device operating unit, an equipment operation unit, and a quality verification unit from the processor. The device operating unit includes a three-dimensional model device associated with secondary battery production, the equipment operation unit includes multiple adjustment parameters for determining the operation of the three-dimensional model device, and the quality verification unit includes quality information associated with the quality of the material generated by the three-dimensional model device.

[0146] The processor can acquire at least one of first user behavior information acquired through the device operating unit and first user condition information acquired through the device operation unit (S1320). The first user condition information may include information associated with the value corresponding to at least one of a plurality of adjustment parameters.

[0147] The processor can determine the operation of the 3D model device based on at least one of the acquired first user behavior information and first user condition information (S1330). Furthermore, the processor can determine the operation of the 3D model device included in the determined work execution unit (S1340). When the first user behavior information is received, the processor determines whether the received first user behavior information corresponds to the predetermined working conditions of the 3D model device. If it determines that the first user behavior information corresponds to the predetermined working conditions of the 3D model device, then the operation of the 3D model device can be permitted.

[0148] According to one embodiment, the processor can determine one or more mass parameters for determining the mass of a substance generated by a three-dimensional modeling device. During the execution of the three-dimensional modeling device, values ​​corresponding to the determined mass parameters can be calculated based on the operation of the three-dimensional modeling device. Furthermore, the processor can generate mass information associated with the mass of the substance generated by the three-dimensional modeling device based on the calculated values ​​corresponding to the mass parameters.

[0149] According to one embodiment, a processor can determine one or more defect scenarios from multiple defect scenarios associated with a fault in a 3D model device, and can modify at least one of the following based on the determined defect scenario: the operation of the 3D model device and quality information associated with the mass of a substance. Then, the processor can receive at least one of second user behavior information and second user condition information for resolving the determined defect scenario, and can correct the modified operation of the 3D model device based on the received second user behavior information and second user condition information. Furthermore, during the execution of the corrected operation of the 3D model device, the processor can calculate values ​​corresponding to multiple quality parameters associated with the mass of the substance generated by the 3D model device based on the executed operation of the 3D model device. In this case, the processor can correct the quality information associated with the mass of the substance generated by the corrected 3D model device based on the calculated values ​​corresponding to the multiple quality parameters, and can use the corrected quality information to determine whether one or more defect scenarios have been resolved.

[0150] Figure 14This diagram illustrates an embodiment of a degassing machine simulation method S1400 for secondary battery production according to an embodiment of the present invention. The degassing machine simulation method S1400 for secondary battery production can be executed by a processor (e.g., at least one processor of a simulation device). As shown, the degassing machine simulation method S1400 for secondary battery production can be started (S1410) by the processor executing a device working unit and an equipment operation unit. The device working unit includes a three-dimensional degassing machine associated with secondary battery production and tools for verifying the quality of the material generated by the three-dimensional degassing machine. The equipment operation unit includes multiple adjustment parameters for determining the operation of the three-dimensional degassing machine.

[0151] The processor can acquire at least one of the first user behavior information obtained through the device operating unit and the first user condition information obtained through the equipment operation unit (S1420). Furthermore, the processor can determine at least one of the following operations based on the acquired first user behavior information and first user condition information: operation of the three-dimensional degasser, autonomous inspection, and equipment shutdown (S1430). The processor can also perform operations associated with the three-dimensional degasser based on the determined operation (S1440). The operation of the three-dimensional degasser may include loading, degassing, pouchcutting, main sealing, weight measurement, insulation voltage measurement, hot pressing, and unloading. The autonomous inspection may include checking the mold sealing gap, sealing width, distance between the main seal and the degas sealing, and sealing thickness.

[0152] According to one embodiment, the processor can change the adjustment parameters displayed on the device operation section based on the first user behavior information. Furthermore, when the processor receives the first user behavior information and the first user condition information, if it determines that the received first user behavior information and the first user condition information correspond to predetermined user behavior and user condition inputs, then the operation of the three-dimensional degasser can be permitted.

[0153] Furthermore, the processor can determine one or more mass parameters for determining the mass of the substance produced by the three-dimensional degasser, and calculate values ​​corresponding to the determined mass parameters based on the operation of the three-dimensional degasser during its execution. Then, the processor can generate mass information associated with the mass of the substance produced by the three-dimensional degasser based on the calculated values ​​corresponding to the one or more mass parameters.

[0154] According to one embodiment, the processor can determine more than one defect scenario from multiple defect scenarios associated with the failure of the three-dimensional degasser, and can modify at least one of the following based on the determined defect scenario: the operation of the three-dimensional degasser and the quality information associated with the mass of the substance. For example, the multiple defect scenarios may include a sealing position defect scenario, a sealing position distortion defect scenario, a sealing thickness defect scenario with a deviation below a standard value, and a sealing thickness defect scenario with a deviation greater than a standard value. In this case, each defect scenario can be resolved using arbitrary user condition information and user behavior information input by the user.

[0155] Figure 15 This diagram illustrates a test result calculation method S1500 according to an embodiment of the present invention. The test result calculation method S1500 can be executed by a processor (e.g., at least one processor of a simulation device). As shown, the test result calculation method S1500 can be initiated (S1510) by the processor receiving at least one of second user behavior information and second user condition information for resolving one or more determined defect scenarios.

[0156] As described above, the processor can correct the operation of the modified 3D model based on at least one of the received second user behavior information and second user condition information (S1520). Furthermore, during the execution of the corrected 3D model device, the processor can calculate values ​​corresponding to multiple mass parameters associated with the mass of the substance generated by the 3D model device, based on the operation of the executed 3D model device (S1530). In this case, the processor can correct the mass information associated with the mass of the substance generated by the corrected 3D model device based on the calculated values ​​corresponding to the multiple mass parameters (S1540).

[0157] Then, the processor can use the corrected quality information and / or the set values ​​and condition values ​​of the 3D model device to determine whether more than one defect scenario has been resolved (S1550). When it is determined that the defect scenario has not been resolved, the processor can use the information input by the user to generate or obtain second user behavior information, second user condition information, etc.

[0158] When it is determined that more than one defect scenario has been resolved, the processor can calculate the execution time and loss value of more than one defect scenario during the execution of more than one defect scenario (step S1560). Furthermore, the processor can generate operational capability information of the 3D model device of the user account based on the calculated execution time and loss value (step S1570). The operational capability information may include, but is not limited to, execution speed, accuracy, etc., calculated based on execution time, loss value, etc., and may also include the user's test score, test pass / fail status, etc. In this case, each user performing secondary battery production can be assigned a user account, and the operational capability information generated based on the corresponding user's defect scenario execution time, loss value, etc., is stored or managed in association with the corresponding user account.

[0159] Figure 16 This diagram illustrates an embodiment of a defect scene generation method S1600 according to the present invention. The defect scene generation method S1600 can be executed by a processor (e.g., at least one processor of a simulation device). As shown, when an external device associated with the 3D model device malfunctions, the defect scene generation method S1600 can be initiated (S1610) by the processor acquiring error information associated with the malfunction.

[0160] The processor can generate a defect scenario associated with the fault of the 3D model device based on the acquired error information (S1620). The error information may include the values ​​and setpoints of various adjustment parameters of the corresponding production equipment when a fault occurs in the actual secondary battery production equipment associated with the 3D model device. For example, when the mass of the material produced by the secondary battery production equipment deviates from the predetermined normal range, a fault can be identified. If a fault is identified, the processor can acquire the error information associated with the fault and generate a defect scenario associated with the fault of the 3D model device based on the acquired error information.

[0161] Figure 17 This diagram illustrates a computing device 1700 for performing the methods and / or embodiments described above. According to one embodiment, the computing device 1700 may be implemented by hardware and / or software configured to interact with a user. The computing device 1700 may include the aforementioned simulation device (…). Figure 1(100). For example, computing device 1700 may be configured to support virtual reality (VR), augmented reality (AR), or mixed reality (MR) environments, but is not limited thereto. Computing device 1700 may include laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframe servers, etc., but is not limited thereto. The constituent elements, connection relationships, and functions of the computing device 1700 described above are merely examples and do not limit the description in this specification and / or the disclosed examples of the present invention.

[0162] The computing device 1700 includes a processor 1710, a memory 1720, a storage device 1730, a communication device 1740, a high-speed interface 1750 connected to the memory 1720 and a high-speed expansion port, and a low-speed interface 1760 connected to a low-speed bus and a storage device. The components 1710, 1720, 1730, 1740, 1750, and 1760 can be connected via various buses and can be mounted on the same mainboard or connected in other suitable ways. The processor 1710 can process computer program instructions by performing basic arithmetic, logic, and input / output operations. For example, the processor 1710 can process instructions stored in the memory 1720, storage device 1730, etc., and / or instructions executed within the computing device 1700, and can display graphic information on an external input / output device 1770, such as a display device, combined with the high-speed interface 1750.

[0163] The communication device 1740 can provide configuration or functions for communication between the input / output device 1770 and the computing device 1700 via a network, and can provide configuration or functions to support communication between the input / output device 1770 and / or the computing device 1700 and other external devices. For example, requests or data generated by the processor of an external device according to arbitrary program code can be transmitted to the computing device 1700 via the network under the control of the communication device 1740. Conversely, control signals or instructions provided under the control of the processor 1710 of the computing device 1700 can be transmitted to other external devices via the communication device 1740 and the network.

[0164] exist Figure 17The diagram illustrates a computing device 1700 including a processor 1710, a memory 1720, etc., but it is not limited to these. The computing device 1700 can be implemented using multiple memories, multiple processors, and / or multiple buses, etc. Furthermore, in Figure 17 Although it is described that only one computing device 1700 exists, it is not limited to this. Multiple computing devices can interact with each other and perform the work required to implement the above-described method.

[0165] The memory 1720 can be used to store information within the computing device 1700. According to one embodiment of the present invention, the memory 1720 may be composed of volatile memory cells or multiple memory cells. Additionally or alternatively, the memory 1720 may be composed of non-volatile memory cells or multiple memory cells. Furthermore, the memory 1720 may be composed of other types of computer-readable media such as a magnetic disk or optical disk. Additionally, the memory 1720 may store an operating system and at least one program code and / or instructions.

[0166] Storage device 1730 can be one or more high-capacity storage devices for storing data for computing device 1700. For example, storage device 1730 can be a semiconductor storage device such as a hard disk, a portable hard disk, an optical disk, an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory device, or a computer-readable medium including CD-ROMs and DVD-ROMs, or it can be configured to include the aforementioned computer-readable media. Furthermore, computer programs can be tangibly embodied in such computer-readable media.

[0167] The high-speed interface 1750 and the low-speed interface 1760 can be tools for interacting with the input / output device 1770. For example, the input device can be a camera, keyboard, microphone, mouse, etc., including an audio sensor and / or an image sensor, and the output device can include a display, speaker, or haptic feedback device. In another example, the high-speed interface 1750 and the low-speed interface 1760 can be tools for interfacing with devices such as touchscreens that integrate input and output configurations or functions.

[0168] According to one embodiment, high-speed interface 1750 can manage bandwidth-intensive operations of computing device 1700, while low-speed interface 1760 can manage lower bandwidth-intensive operations than high-speed interface 1750; however, this functional allocation is merely exemplary. According to one embodiment, high-speed interface 1750 can be combined with a high-speed expansion port capable of housing memory 1720, input / output device 1770, and various expansion cards (not shown). Furthermore, low-speed interface 1760 can be combined with storage device 1730 and low-speed expansion port. Additionally, low-speed expansion port, which may include multiple communication ports (e.g., USB, Bluetooth, Ethernet, wireless Ethernet), can be combined with one or more input / output devices 1770 such as a keyboard, pointing device, or scanner, or can be combined with network devices such as routers or switches via network adapters.

[0169] The computing device 1700 can be implemented in various different forms. For example, the computing device 1700 can be implemented using a standard server, or a combination of such standard servers. Alternatively or additionally, the computing device 1700 can be implemented as a portion of a rack server system, or it can be implemented as a personal computer such as a laptop computer. In this case, the components of the computing device 1700 can be combined with other components within any mobile device (not shown). This computing device 1700 includes one or more other computing devices, or can communicate with one or more other computing devices.

[0170] exist Figure 17 The diagram illustrates that the input / output device 1770 is not included in the computing device 1700, but is not limited thereto, and can be configured as a single device together with the computing device 1700. Furthermore, in Figure 17 In the illustration, the high-speed interface 1750 and / or the low-speed interface 1760 are shown as components independent of the processor 1710, but are not limited thereto. The high-speed interface 1750 and / or the low-speed interface 1760 may be configured to be included in the processor.

[0171] The methods and / or multiple embodiments described above can be implemented by digital electronic circuits, computer hardware, firmware, software, and / or combinations thereof. Multiple embodiments of the present invention are executed by a data processing apparatus, for example, by one or more programmable processors and / or one or more computing devices, or by a computer-readable medium and / or a computer program stored on the computer-readable medium. The computer program described above can be written in any type of programming language, including compiled or interpreted languages, and can be distributed in any form, such as as an independent executable program, module, or subroutine. The computer program can be distributed through a single computing device, multiple computing devices connected by the same network, and / or multiple computing devices distributed by multiple different network connections.

[0172] The methods and / or embodiments described above can be executed by one or more processors configured to operate based on input data or generate output data, thereby running one or more computer programs for processing, storing, and / or managing arbitrary functions, etc. For example, the methods and / or embodiments of the present invention can be executed by dedicated logic circuits such as Field Programmable Gate Arrays (FPGAs) or Application Specific Integrated Circuits (ASICs), and the apparatus and / or system for executing the methods and / or embodiments of the present invention can be implemented by dedicated logic circuits such as Field Programmable Gate Arrays or Application Specific Integrated Circuits.

[0173] The processors running computer programs may include general-purpose or special-purpose microprocessors and / or processors of any type of digital computing device. The processors may receive instructions and / or data from read-only memory and random access memory, respectively, or may receive instructions and / or data from read-only memory and random access memory. In this invention, the components of the computing device for executing methods and / or embodiments may include one or more processors for executing instructions and one or more memories for storing instructions and / or data.

[0174] According to one embodiment, a computing device can send and receive data with one or more mass storage devices for storing data. For example, the computing device can receive data from a magnetic disc or optical disc, and / or transfer data to a magnetic disc or optical disc. Computer-readable media suitable for storing instructions and / or data associated with computer programs may include, but are not limited to, any form of non-volatile memory, including, semiconductor storage devices such as erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), and flash memory devices. For example, computer-readable media may include magnetic discs such as internal hard disks or external hard disks, photomagnetic discs, CD-ROMs, and DVD-ROMs.

[0175] To provide interaction with the user, the computing device may include display devices (e.g., cathode ray tubes (CRTs), liquid crystal displays (LCDs), etc.) for providing or displaying information to the user, and pointing devices (e.g., keyboards, mice, trackballs, etc.) for the user to provide input and / or instructions to the computing device, but is not limited thereto. That is, the computing device may also include any type of other device for providing interaction with the user. For example, to interact with the user, the computing device may provide sensory feedback of any form, including visual feedback, auditory feedback, and / or tactile feedback. In this regard, the user can provide input to the computing device through various gestures such as vision, sound, and movement.

[0176] In this invention, multiple embodiments can be implemented in a computing device that includes back-end components (e.g., a data server), middleware components (e.g., an application server), and / or front-end components. In this case, the components can be connected via any form or medium of digital data communication, such as a communication network. According to one embodiment, the communication network can consist of wired networks such as Ethernet, Power Line Communication, telephone line communication devices, and RS-serial communication, mobile communication networks, Wireless Local Area Networks (WLANs), Wi-Fi, Bluetooth, and ZigBee, or combinations thereof. For example, the communication network may include Local Area Networks (LANs), Wide Area Networks (WANs), etc.

[0177] In this specification, the computing device based on the exemplary embodiments may include a user device, a user interface (UI) device, a user terminal, or a client device, implemented using hardware and / or software that interacts with a user. For example, the computing device may include a portable computing device such as a laptop. Additionally or alternatively, the computing device may include personal digital assistants (PDAs), tablet PCs, game consoles, wearable devices, Internet of Things (IoT) devices, virtual reality (VR) devices, augmented reality (AR) devices, etc., but is not limited thereto. The computing device may also include other types of devices that interact with a user. Furthermore, the computing device may include portable communication devices suitable for wireless communication (e.g., mobile phones, smartphones, wireless cellular phones, etc.) that use networks such as mobile communication networks. The computing device may use wireless communication technologies and / or protocols such as radio frequency (RF), microwave frequency (MWF), and / or infrared ray frequency (IRF) to communicate wirelessly with a network server.

[0178] In this invention, the various embodiments, including detailed descriptions of specific structures and functions, are merely examples. Therefore, the embodiments of this invention are not limited to the above content and can be implemented through various methods. Furthermore, the terminology used in this invention is only for describing some embodiments and should not be construed as limiting the embodiments. For example, unless otherwise expressly indicated in the context, singular expressions include plural expressions.

[0179] In this specification, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. Furthermore, terms as defined in commonly used dictionaries should be interpreted as having the same meaning as they have in the context of the relevant art.

[0180] While this specification describes some embodiments of the invention, it should be understood that those skilled in the art can make various modifications and alterations without departing from the scope of the invention. Furthermore, such modifications and alterations also fall within the scope of the appended claims.

Claims

1. A degassing machine simulation device for secondary battery production, comprising: The memory is configured to store at least one instruction; as well as At least one processor is configured to execute the at least one instruction stored in the memory. The at least one instruction includes instructions for the following: The device operating unit includes a three-dimensional degasser associated with the production of secondary batteries and a unit for verifying the quality of the material generated by the three-dimensional degasser. The equipment operating unit includes multiple adjustment parameters for determining the operation of the three-dimensional degasser. Acquire at least one of the first user behavior information obtained through the device working part and the first user condition information obtained through the device operation part; Based on at least one of the first user behavior information and the first user condition information, determine at least one of the three-dimensional degasser operation and autonomous inspection functions. Perform the assigned tasks; The defect scenario is executed to change at least one of the operation of the three-dimensional degasser and the quality information of the substance to an abnormal range. The defect scenario includes at least one of the following: sealing position defect scenario, sealing position distortion defect scenario, first sealing thickness defect scenario, and second sealing thickness defect scenario. Acquire at least one of the following: second user behavior information (touching or dragging at least a portion of the three-dimensional degasser) and second user condition information (changing the adjustment parameters of the equipment's operating part); Based on at least one of the acquired second user behavior information and second user condition information, at least one of the operation of the three-dimensional degasser that was changed to the abnormal range and the quality information of the substance will be corrected to normal; Calculate the value of one or more mass parameters that are associated with the mass of the substance produced by the corrected three-dimensional degasser; The quality information associated with the quality of the substance generated by the corrected three-dimensional degasser is corrected based on the calculated values ​​corresponding to one or more quality parameters.

2. The degassing machine simulation device for secondary battery production according to claim 1, wherein, The at least one instruction further includes instructions for the following: Perform at least one of the following operations: degassing, bag cutting, main sealing, and hot pressing.

3. The degassing machine simulation device for secondary battery production according to claim 1, wherein, The at least one instruction further includes instructions for the following: Check at least one of the following: mold sealing gap, sealing width, distance between the main seal and the degassing seal, and sealing thickness.

4. The degassing machine simulation device for secondary battery production according to claim 1, wherein, The at least one instruction further includes instructions for the following: One or more quality parameters are determined, wherein the one or more quality parameters are used to determine the mass of the substance generated by the three-dimensional degasser; During the operation of the three-dimensional degasser, values ​​corresponding to one or more determined mass parameters are calculated based on the operation of the three-dimensional degasser. Based on the calculated values ​​corresponding to one or more mass parameters, output mass information associated with the mass of the substance generated by the three-dimensional degasser.

5. The degassing machine simulation device for secondary battery production according to claim 1, wherein, The at least one instruction further includes instructions for the following: One or more defect scenarios are identified from among multiple defect scenarios associated with the mass of the substance generated by the three-dimensional degasser; Based on one or more identified defect scenarios, at least one of the following should be changed: the operation of the three-dimensional degasser and the quality information associated with the quality of the substance.

6. The degassing machine simulation device for secondary battery production according to claim 5, wherein, The defect scenarios include at least one of the following: the sealing position defect scenario, the sealing position distortion defect scenario, the first sealing thickness defect scenario, and the second sealing thickness defect scenario. The sealing position defect scenario indicates that the entire y-axis position of the sealing area of ​​the substance deviates from the upper or lower limit of the preset specification. The sealing position distortion defect scenario indicates that the y-axis position of one side of the sealing area of ​​the substance deviates from the upper or lower limit of the preset specification. The first sealing thickness defect scenario indicates that the sealing thickness at least one of the multiple measurement locations of the substance deviates from the upper or lower limit of the preset specification, and the sealing thickness deviation between the multiple measurement locations is below the preset standard value. The second sealing thickness defect scenario indicates that the sealing thickness at least one of the multiple measurement locations of the substance deviates from the upper or lower limit of the preset specification, and the sealing thickness deviation between the multiple measurement locations is greater than the preset standard value.

7. The degassing machine simulation device for secondary battery production according to claim 1, wherein, The at least one instruction further includes instructions for the following: Acquire third-party user behavior information for at least a portion of the area corresponding to the touch or drag and confirmation of the mass of the substance produced by the three-dimensional degasser; The cause of the substance's defect is output based on the third user behavior information.

8. The degassing machine simulation device for secondary battery production according to claim 7, wherein, The at least one instruction further includes instructions for the following: Output guidance information, which includes conditional and behavioral information required to resolve the one or more defect scenarios.

9. A degassing machine simulation method for secondary battery production, executed by at least one processor, wherein, The method includes the following steps: The device operating unit includes a three-dimensional degasser associated with the production of secondary batteries and a unit for verifying the quality of the material generated by the three-dimensional degasser. The equipment operating unit includes multiple adjustment parameters for determining the operation of the three-dimensional degasser. Acquire at least one of the first user behavior information obtained through the device working part and the first user condition information obtained through the device operation part; Based on at least one of the first user behavior information and the first user condition information, determine at least one of the three-dimensional degasser operation and autonomous inspection functions. Perform the assigned tasks; The defect scenario is executed to change at least one of the operation of the three-dimensional degasser and the quality information of the substance to an abnormal range. The defect scenario includes at least one of the following: sealing position defect scenario, sealing position distortion defect scenario, first sealing thickness defect scenario, and second sealing thickness defect scenario. Acquire at least one of the following: second user behavior information (touching or dragging at least a portion of the three-dimensional degasser) and second user condition information (changing the adjustment parameters of the equipment's operating part); Based on at least one of the acquired second user behavior information and second user condition information, at least one of the operation of the three-dimensional degasser that was changed to the abnormal range and the quality information of the substance will be corrected to normal; Calculate the value of one or more mass parameters that are associated with the mass of the substance produced by the corrected three-dimensional degasser; The quality information associated with the quality of the substance generated by the corrected three-dimensional degasser is corrected based on the calculated values ​​corresponding to one or more quality parameters.

10. The degassing machine simulation method for secondary battery production according to claim 9, wherein, When the determined work is the operation of the three-dimensional degasser, the steps for performing the determined work include the following steps: performing at least one of the following operations: degassing, bag cutting, main sealing, and hot pressing.

11. The degassing machine simulation method for secondary battery production according to claim 9, wherein, When the determined task is an autonomous inspection, the steps for performing the determined task include the following steps: checking at least one of the following: mold sealing gap, sealing width, distance between the main seal and the degassing seal, and sealing thickness.

12. The degassing machine simulation method for secondary battery production according to claim 9, wherein, It also includes the following steps: One or more quality parameters are determined, wherein the one or more quality parameters are used to determine the mass of the substance generated by the three-dimensional degasser; During the operation of the three-dimensional degasser, values ​​corresponding to one or more determined mass parameters are calculated based on the operation of the three-dimensional degasser. as well as Based on the calculated values ​​corresponding to one or more mass parameters, output mass information associated with the mass of the substance generated by the three-dimensional degasser.

13. The degassing machine simulation method for secondary battery production according to claim 9, wherein, It also includes the following steps: One or more defect scenarios are identified from among multiple defect scenarios associated with the mass of the substance generated by the three-dimensional degasser; as well as Based on one or more identified defect scenarios, at least one of the following should be changed: the operation of the three-dimensional degasser and the quality information associated with the quality of the substance.

14. The degassing machine simulation method for secondary battery production according to claim 13, wherein, The defect scenarios include at least one of the following: the sealing position defect scenario, the sealing position distortion defect scenario, the first sealing thickness defect scenario, and the second sealing thickness defect scenario. The sealing position defect scenario indicates that the entire y-axis position of the sealing area of ​​the substance deviates from the upper or lower limit of the preset specification. The sealing position distortion defect scenario indicates that the y-axis position of one side of the sealing area of ​​the substance deviates from the upper or lower limit of the preset specification. The first sealing thickness defect scenario indicates that the sealing thickness at least one of the multiple measurement locations of the substance deviates from the upper or lower limit of the preset specification, and the sealing thickness deviation between the multiple measurement locations is below the preset standard value. The second sealing thickness defect scenario indicates that the sealing thickness at least one of the multiple measurement locations of the substance deviates from the upper or lower limit of the preset specification, and the sealing thickness deviation between the multiple measurement locations is greater than the preset standard value.

15. The degassing machine simulation method for secondary battery production according to claim 9, wherein, After executing at least one of the following defect scenarios: sealing position defect scenario, sealing position distortion defect scenario, first sealing thickness defect scenario, and second sealing thickness defect scenario, the method further includes the following steps: Acquire third-party user behavior information corresponding to at least a portion of an area where touching or dragging corresponds to confirming the mass of the substance produced by the three-dimensional degasser; and The cause of the substance's defect is output based on the third user behavior information.

16. The degassing machine simulation method for secondary battery production according to claim 9, wherein, It also includes the following steps: Output guidance information, which includes conditional and behavioral information required to resolve the one or more defect scenarios.

17. A computer program product stored in a computer-readable medium for performing the method according to any one of claims 9 to 16 on a computer.

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