Virtual reality-based simulation method and device for secondary battery production

Abstract

The present invention relates to a VR-based simulation device for secondary battery production. The VR-based simulation device for secondary battery production includes a memory configured to store at least one instruction and at least one processor configured to execute at least one instruction stored in the memory. The at least one instruction includes instructions for receiving a user’s gaze direction and gaze position identified from an HMD, displaying content associated with a secondary battery production device corresponding to the received gaze direction and gaze position based on an area on the display of the HMD, acquiring user action information indicating a user’s motion determined from at least one of the HMD and a controller associated with the HMD, and executing content associated with a secondary battery production device based on the acquired user action information.

Description

Technology Field

[0001] The present invention relates to a VR-based simulation method and apparatus for secondary battery production, and more specifically, to a VR-based simulation method and apparatus for training secondary battery production workers. Background Technology

[0003] Due to the recent growth of the electric vehicle market, the demand for the development and production of secondary batteries is increasing rapidly. In response to this growing demand, the number of production plants for secondary batteries is also rising. However, there is a significant shortage of skilled workers to operate these secondary battery production facilities.

[0004] Meanwhile, training and education for new workers were previously conducted by having them learn by observing experienced workers; however, due to the busy secondary battery production schedule, it was difficult to provide training and education for new workers over an extended period. In addition, there is a problem in securing a sufficient number of skilled workers due to factors such as frequent turnover. Furthermore, even if workers are trained on general factory operation methods, it is not easy to ensure that they can immediately respond to various types of defect situations that may occur during factory operation. The problem to be solved

[0006] The present invention provides a VR-based simulation method for secondary battery production to solve the above-mentioned problems, a computer program stored on a computer-readable medium, a computer-readable medium storing the computer program, and a device (system). means of solving the problem

[0008] The present invention may be implemented in various ways, including a method, an apparatus (system), a computer program stored on a computer-readable medium, or a computer-readable medium on which a computer program is stored.

[0009] A VR-based simulation device for secondary battery production according to one embodiment of the present invention includes a memory configured to store at least one instruction and at least one processor configured to execute at least one instruction stored in the memory. The at least one instruction includes instructions for receiving a user’s gaze direction and gaze position identified from an HMD, displaying content associated with a secondary battery production device corresponding to the received gaze direction and gaze position based on an area on the display of the HMD, acquiring user action information indicating a user’s motion determined from at least one of the HMD and a controller associated with the HMD, and executing content associated with a secondary battery production device based on the acquired user action information.

[0010] According to one embodiment of the present invention, at least one instruction further includes instructions for determining one or more training scenarios among a plurality of training scenarios associated with a secondary battery production device, and for changing content associated with a secondary battery production device based on the determined one or more training scenarios.

[0011] According to one embodiment of the present invention, a plurality of training scenarios include an electrode replacement scenario associated with a secondary battery production device. At least one instruction further includes, when one or more determined training scenarios include an electrode replacement scenario, one or more electrode supply units among a plurality of electrode supply units associated with a secondary battery production device for which electrode replacement is required, one or more electrode supply units for which electrode replacement is required, one or more determined electrode supply units for which electrode replacement is required, one or more determined electrode supply units for which electrodes are operated, one or more obtained first user action information for cutting and connecting electrodes associated with one or more electrode supply units, and a first user action information for determining whether the electrode replacement scenario has been completed based on the obtained first user action information.

[0012] According to one embodiment of the present invention, at least one instruction includes a plurality of training scenarios, which include a separator replacement scenario associated with a secondary battery production device. The at least one instruction further includes, when one or more determined training scenarios include a separator replacement scenario, determining one or more separator supply units among a plurality of separator supply units associated with a secondary battery production device for which separator replacement is required, operating the determined one or more separator supply units, discarding the spent separator associated with the one or more separator supply units, obtaining second user action information for preparing an auto-splice by operating an HMI after inserting a new separator, and determining whether the separator replacement scenario has been completed based on the obtained second user action information.

[0013] According to one embodiment of the present invention, a plurality of training scenarios include a stacking tape replacement scenario associated with a secondary battery production device. At least one instruction further includes, when one or more determined training scenarios include a stacking tape replacement scenario, one or more tape supply units among a plurality of tape supply units associated with a secondary battery production device for which tape replacement is required, one or more tape supply units for which tape replacement is required, one or more determined tape supply units for which tape is removed from one or more tape supply units and a new tape is inserted, and third user action information for which the stacking tape replacement scenario is determined based on the acquired third user action information.

[0014] According to one embodiment of the present invention, a plurality of training scenarios include a quality verification scenario for a material produced by a secondary battery production device. At least one instruction further includes, when one or more determined training scenarios include a quality verification scenario, a fourth user action information for determining at least some of the dimensions, cutting state, and sealing state of a material produced by the secondary battery production device, and instructions for determining whether the quality verification scenario has been completed based on the acquired fourth user action information.

[0015] According to one embodiment of the present invention, a plurality of training scenarios include a screening scenario for screening defective materials. At least one instruction further includes, when one or more determined training scenarios include a screening scenario, a mono cell from a stack cell generated by a secondary battery production device, an insulation resistance of the extracted mono cell, an electrode surface condition inspection, and a fifth user action information for measuring whether there is a gap between the electrode and the separator and whether there is a shoulder line defect, and a fifth user action information for determining whether the screening scenario has been completed based on the acquired fifth user action information.

[0016] According to one embodiment of the present invention, a plurality of training scenarios include a disconnection action scenario. At least one instruction further includes, when one or more determined training scenarios include a disconnection action scenario, a sixth user action information for determining a disconnection location associated with a secondary battery production device, removing a disconnected electrode at the determined disconnection location and connecting a new electrode, and determining whether the disconnection action scenario has been completed based on the acquired sixth user action information.

[0017] According to one embodiment of the present invention, at least one instruction further comprises instructions for determining whether at least some of a plurality of training scenarios associated with a secondary battery production device have been completed by a user, and if it is determined that at least some of the plurality of training scenarios have been completed, calculating user operational capability information corresponding to at least some of the completed training scenarios, and displaying the calculated user operational capability information together with content associated with the secondary battery production device.

[0018] According to one embodiment of the present invention, at least one command further includes commands for determining whether a user satisfies a guide condition based on the user's gaze direction and gaze position, and, if it is determined that the user satisfies the guide condition, displaying user guide information associated with one or more determined training scenarios together with content associated with a secondary battery production device.

[0019] According to one embodiment of the present invention, a VR-based simulation method for secondary battery production performed by at least one processor comprises: receiving a user’s gaze direction and gaze position identified from an HMD; displaying content associated with a secondary battery production device corresponding to the received gaze direction and gaze position based on an area on the display of the HMD; obtaining user action information indicating a user’s motion determined from at least one of an HMD and a controller associated with the HMD; and executing content associated with a secondary battery production device based on the obtained user action information.

[0020] According to one embodiment of the present invention, the method further includes the step of determining one or more training scenarios among a plurality of training scenarios associated with a secondary battery production device, and the step of changing content associated with the secondary battery production device based on the determined one or more training scenarios.

[0021] According to one embodiment of the present invention, a plurality of training scenarios include an electrode replacement scenario associated with a secondary battery production device. The method further comprises, when one or more determined training scenarios include an electrode replacement scenario, a step of determining one or more electrode supply units among a plurality of electrode supply units associated with a secondary battery production device for which electrode replacement is required; a step of obtaining first user action information for operating the determined one or more electrode supply units and cutting and connecting an electrode associated with the one or more electrode supply units; and a step of determining whether the electrode replacement scenario is completed based on the obtained first user action information.

[0022] According to one embodiment of the present invention, a plurality of training scenarios include a separator replacement scenario associated with a secondary battery production device. The method further comprises, when one or more determined training scenarios include a separator replacement scenario, a step of determining one or more separator supply units among a plurality of separator supply units associated with a secondary battery production device for which separator replacement is required; a step of obtaining second user behavior information by operating the determined one or more separator supply units, discarding the spent separator associated with the one or more separator supply units, and preparing an auto-splice by operating an HMI after inserting a new separator; and a step of determining whether the separator replacement scenario has been completed based on the obtained second user behavior information.

[0023] According to one embodiment of the present invention, a plurality of training scenarios include a stacking tape replacement scenario associated with a secondary battery production device. The method further comprises, when one or more determined training scenarios include a stacking tape replacement scenario, a step of determining one or more tape supply units among a plurality of tape supply units associated with a secondary battery production device for which tape replacement is required; a step of obtaining third user action information for operating the determined one or more tape supply units, removing a depleted tape from one or more tape supply units, and inserting a new tape; and a step of determining whether the stacking tape replacement scenario is completed based on the obtained third user action information.

[0024] According to one embodiment of the present invention, a plurality of training scenarios include a quality verification scenario for a material produced by a secondary battery production device. The method further comprises, when one or more determined training scenarios include a quality verification scenario, a step of obtaining fourth user behavior information that determines at least some of the dimensions, cutting state, and sealing state of a material produced by the secondary battery production device, and a step of determining whether the quality verification scenario is completed based on the obtained fourth user behavior information.

[0025] According to one embodiment of the present invention, a plurality of training scenarios include a screening scenario for screening defective materials. The method further includes, when one or more determined training scenarios include a screening scenario, a step of extracting a mono cell from a stack cell generated by a secondary battery production device, measuring the insulation resistance of the extracted mono cell, performing an electrode surface condition inspection, and obtaining fifth user behavior information that measures whether there is a gap between the electrode and the separator and whether there is a shoulder line defect, and a step of determining whether the screening scenario is completed based on the obtained fifth user behavior information.

[0026] According to one embodiment of the present invention, a plurality of training scenarios include a disconnection action scenario. The method further comprises, when one or more determined training scenarios include a disconnection action scenario, a step of determining a disconnection location associated with a secondary battery production device, a step of obtaining sixth user action information for removing a disconnected electrode at the determined disconnection location and connecting a new electrode, and a step of determining whether the disconnection action scenario is completed based on the obtained sixth user action information.

[0027] According to one embodiment of the present invention, the method further comprises the steps of: determining whether at least some of a plurality of training scenarios associated with a secondary battery production device have been completed by a user; when it is determined that at least some of the plurality of training scenarios have been completed, calculating user operational capability information corresponding to at least some of the completed training scenarios; and displaying the calculated user operational capability information together with content associated with the secondary battery production device.

[0028] According to one embodiment of the present invention, the method further includes the step of determining whether a user satisfies a guide condition based on the user's gaze direction and gaze position, and, if it is determined that the user satisfies the guide condition, the step of displaying user guide information associated with one or more determined training scenarios together with content associated with a secondary battery production device.

[0029] A computer program stored on a computer-readable medium is provided to execute the above-described method according to one embodiment of the present invention on a computer. Effects of the invention

[0031] In various embodiments of the present invention, a user performing secondary battery production can perform training related to the operation method of the secondary battery production device and the method of dealing with defects through a simulation device before being put into work. By training the user in this way, losses caused by defects can be significantly reduced, thereby effectively improving the efficiency of the secondary battery production work.

[0032] In various embodiments of the present invention, by generating failure scenarios based on error information from an actual device, the simulation device can effectively generate training content optimized for the actual work environment.

[0033] In various embodiments of the present invention, the simulation device may generate and provide to the user training scenarios and / or failure scenarios having various values ​​associated with a secondary battery production device, thereby enabling the user to effectively learn response measures for each malfunction situation by training on how to operate the device or by independently resolving malfunction situations that may occur in the actual device.

[0034] In various embodiments of the present invention, the user can perform the necessary training in advance to operate or run a secondary battery production device using a virtual VR-based simulation device, and accordingly, when the new worker is introduced into the actual production process, the losses that may occur due to the new worker can be significantly reduced.

[0035] In various embodiments of the present invention, even when a user does not know how to respond to a training scenario, the user can effectively perform training by using user guide information.

[0036] In various embodiments of the present invention, the user can simply identify and process training scenarios with insufficient training, thereby enabling intensive training only on training scenarios with low work proficiency.

[0037] The effects of the present invention are not limited to those mentioned above, and other unmentioned effects will be clearly understood by a person skilled in the art to which the present invention pertains (referred to as "person skilled in the art") from the description in the claims. Brief explanation of the drawing

[0039] Embodiments of the present invention will be described with reference to the accompanying drawings described below, wherein similar reference numerals indicate similar elements, but are not limited thereto. FIG. 1 is a drawing showing an example of a user using a VR-based simulation device according to an embodiment of the present invention. FIG. 2 is a functional block diagram showing the internal configuration of a simulation device according to one embodiment of the present invention. FIG. 3 is a diagram showing an example of a simulation device according to an embodiment of the present invention extracting a training scenario and providing content. FIG. 4 is a diagram showing an example of operation capability information and test results being generated according to an embodiment of the present invention. FIG. 5 is a drawing showing an example of a display screen in which VR-based content is displayed according to an embodiment of the present invention. FIG. 6 is a drawing showing an example of a display screen on which user guide information is displayed according to an embodiment of the present invention. FIG. 7 is a drawing showing an example of a display screen on which operational capability information is displayed according to an embodiment of the present invention. FIG. 8 is a diagram showing an example of a failure scenario being generated according to an embodiment of the present invention. FIG. 9 is a diagram showing an example of a VR-based simulation method for producing a secondary battery according to an embodiment of the present invention. FIG. 10 is a diagram showing an example of a method for calculating test results according to one embodiment. FIG. 11 is a diagram showing an example of a method for generating a failure scenario according to an embodiment of the present invention. FIG. 12 shows an exemplary computing device for carrying out the above-described method and / or embodiments, etc. Specific details for implementing the invention

[0040] Hereinafter, specific details for implementing the present invention will be described in detail with reference to the attached drawings. However, in the following description, specific descriptions regarding widely known functions or configurations will be omitted if there is a risk of unnecessarily obscuring the essence of the present invention.

[0041] In the attached drawings, identical or corresponding components are assigned the same reference numerals. Additionally, in the description of the following embodiments, the description of identical or corresponding components may be omitted. However, even if a description of a component is omitted, it is not intended that such component is not included in any embodiment.

[0042] The advantages and features of the embodiments disclosed in this specification, and the methods for achieving them, will become clear by referring to the embodiments described below in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below but may be implemented in various different forms, and these embodiments are provided merely to fully inform a person skilled in the art of the scope of the invention.

[0043] The terms used in this specification will be briefly explained, and the disclosed embodiments will be described in detail. The terms used in this specification have been selected to be as widely used as possible, taking into account their functions in the present invention; however, these terms may vary depending on the intent of those skilled in the relevant field, case law, or the emergence of new technologies. Additionally, in specific cases, terms may be arbitrarily selected by the applicant, and in such cases, their meanings will be described in detail in the relevant description of the invention. Therefore, the terms used in this invention should be defined not merely by their names, but based on their meanings and the overall content of the present invention.

[0044] In this specification, singular expressions include plural expressions unless the context clearly specifies them as singular. Additionally, plural expressions include singular expressions unless the context clearly specifies them as plural. Throughout the specification, when a part is described as including a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components.

[0045] In the present invention, terms such as 'comprising', 'comprising', etc. may indicate the presence of features, steps, actions, elements and / or components, but do not exclude the addition of one or more other functions, steps, actions, elements, components and / or combinations thereof.

[0046] In the present invention, where a specific component is described as being 'combined,' 'combined,' 'connected,' 'associated,' or 'reacted' to any other component, the specific component may be directly combined, combined, connected, and / or associated with, or reacted to the other component, but is not limited thereto. For example, one or more intermediate components may exist between the specific component and the other component. Additionally, in the present invention, "and / or" may include each of the one or more listed items or a combination of at least some of the one or more items.

[0047] In the present invention, terms such as 'first', 'second', etc., are used to distinguish a specific component from another component, and the components described above are not limited by these terms. For example, the 'first' component may be used to refer to an element of the same or similar form as the 'second' component.

[0048] In the present invention, 'secondary battery' may refer to a battery made using a material capable of repeating the oxidation-reduction process between the current and the material multiple times. For example, to produce a secondary battery, processes such as mixing, coating, roll pressing, slitting, notching and drying, lamination, folding and stacking, lamination and stacking, packaging, charging and discharging, degassing, and characteristic testing may be performed. In this case, separate production equipment (devices) may be used to perform each process. Here, each production equipment may be operated by adjustment parameters, set values, etc., set or modified by the user.

[0049] In the present invention, the term "user" may refer to a worker who performs secondary battery production and operates secondary battery production equipment, and may include a user who trains through a simulation device for secondary battery production equipment (e.g., a VR-based simulation device). Additionally, the term "user account" is an ID created or assigned to each user to enable the use of such a simulation device, and the user may log in to the simulation device and perform a simulation using the user account, but is not limited thereto.

[0050] In the present invention, the 'virtual secondary battery production device' is a virtual device that implements an actual secondary battery production device in VR, and can operate such as by executing, changing, and / or correcting images, videos, animations, etc. of the virtual device based on information input by a user (e.g., user input information and / or user action information). That is, the 'operation of the virtual secondary battery production device' may include images, videos, animations, etc. of the virtual device that are executed, changed, and / or corrected. For example, the virtual secondary battery production device may include devices for performing each of the following: mixing, coating, roll pressing, slitting, notching and drying, lamination, folding and stacking, lamination and stacking, packaging, charging and discharging, degassing, and characteristic inspection.

[0051] In the present invention, 'user behavior information' may include user input that sets or changes conditions and / or values, etc., of at least some of the adjustment parameters, or may include information generated by any predetermined algorithm based on said user input. Additionally, the user behavior information may include user inputs such as touch input, drag input, pinch input, and rotation input performed on at least some area of ​​a virtual secondary battery production device, or may be information generated by any predetermined algorithm based on said user input.

[0052] In the present invention, a 'training scenario' may include a simulation scenario for operating a secondary battery production device. For example, if the secondary battery production device is an L&S device, the training scenario may include an electrode replacement scenario, a separator replacement scenario, a stacking tape replacement scenario, a quality verification scenario, a sorting scenario, a disconnection response scenario, etc. Here, the training scenario may include a defect scenario.

[0053] In the present invention, a 'defect scenario' may be a simulation scenario that includes values, conditions, etc., for changing the operation of a secondary battery production device to a malfunction range or changing the quality information of a material determined by the operation of the secondary battery production device to a defect range. For example, if a defect scenario occurs during the operation of the simulation device, the operation of the secondary battery production device, quality information, etc., may be changed based on the generated defect scenario. Furthermore, if the operation of the secondary battery production device, quality information, etc., changed by the defect scenario are corrected to a normal range, the defect scenario may be determined to be resolved.

[0054] In the present invention, the 'mixing process' may be a process of preparing a slurry by mixing an active material, a binder, and other additives with a solvent. For example, the user may determine or adjust the ratio of the active material, conductive material, additives, binder, etc., to prepare a slurry of a specific quality. Additionally, in the present invention, the 'coating process' may be a process of applying the slurry onto a foil in a specific amount and shape. For example, the user may determine or adjust the die of a coater device, the slurry temperature, etc., to perform a coating having a specific amount and shape.

[0055] In the present invention, the 'rolling process' may be a process of passing a coated electrode between two rotating upper and lower rolls to press it to a uniform thickness. For example, the user may determine or adjust the spacing between the rolls, etc., to increase electrode density through the rolling process and maximize the capacity of the battery. Additionally, in the present invention, the 'slitting process' may be a process of passing an electrode between two rotating upper and lower knives to cut the electrode to a uniform width. For example, the user may determine or adjust various adjustment parameters to maintain a uniform electrode width.

[0056] In the present invention, the 'notching and drying process' may be a process of removing moisture after punching the electrode into a specific shape. For example, the user may determine or adjust the cutting height, length, etc., to perform punching into a shape of a specific quality. Additionally, in the present invention, the 'lamination process' may be a process of sealing and cutting the electrode and the separator. For example, the user may determine or adjust values ​​corresponding to the x-axis, values ​​corresponding to the y-axis, etc., to perform cutting of a specific quality. Additionally, in the present invention, the 'stacking process' may be a process of creating a stacked cell by stacking the cells on which lamination has been performed. Here, the 'L&S process' may be a combination of the lamination process and the stacking process.

[0057] In the present invention, the 'packaging process' may be a process of attaching leads and tapes to a completed cell and packaging it in an aluminum pouch, and the 'degassing process' may be a process of removing gas from within the cell to prevent air ingress and electrolyte leakage. Additionally, in the present invention, the 'characteristic inspection process' may be a process of verifying characteristics such as the thickness, weight, and insulation voltage of the cell using a measuring instrument before shipment. In the case of such processes, the user may adjust the conditions and values ​​of various adjustment parameters or change the setting values ​​corresponding to the device so that each process can be performed with specific quality within a normal range.

[0058] In the present invention, a 'mono-cell' can be formed by sequentially stacking an anode, a separator, a cathode, and a separator. That is, a mono-cell can be formed by arranging electrodes (anode and / or cathode) and separators alternately and attaching each layer. Such a mono-cell can be included in an electrode assembly included in a secondary battery.

[0059] FIG. 1 is a diagram illustrating an example of a user using a VR (virtual reality)-based simulation device according to an embodiment of the present invention. As illustrated, the user can use the simulation device by using a head-mounted display (HMD) (110) and two controllers (120_1, 120_2). Here, the simulation device (not shown) is a device for training a secondary battery production worker (e.g., user), and may be a device for communicating with the HMD (110), controllers (120), etc., to acquire user behavior information, and providing VR-based content (e.g., images, videos, animations, etc.) that is executed or changed according to the acquired user behavior information. For example, the user can use a simulation device that implements an actual secondary battery production device in VR to learn how to use the secondary battery production device or to train methods to respond when quality degradation of the produced product occurs.

[0060] According to one embodiment, the simulation device receives the user’s gaze direction and gaze position identified from the HMD (110) and can display content associated with a secondary battery production device corresponding to the received gaze direction and gaze position based on an area on the display of the HMD (110). Here, the HMD (110) may be a display device worn on the head and may include various components such as, for example, one or more camera sensors, a gyroscope sensor, an accelerometer sensor, a microphone, a speaker, a button using a touch panel, an input / output port, and a vibrator for vibration. That is, the HMD (110) may estimate the user’s head movement and / or gaze direction using such various sensors, or estimate the user’s gaze position and gaze depth using a camera sensor that tracks the user’s eye movement. Additionally, the content associated with the secondary battery production device may refer to content that implements an actual secondary battery production plant and / or facility in virtual reality. That is, the user may be provided with a sensation similar to performing work in an actual secondary battery production plant through the content output through the HMD (110). Additionally, content related to the secondary battery production device according to the user's head movement and / or gaze direction may be output or displayed together on a separate monitor (130).

[0061] According to one embodiment, the simulation device can acquire user behavior information representing a user's motion determined from a controller (120) associated with an HMD (110), and can execute content associated with a secondary battery production device based on the acquired user behavior information. Here, the controller (120) may include various components such as a gyroscope sensor, an accelerometer sensor, a button using a touch panel, an input / output port, and a vibrator for vibration to track and reflect the hand movements, shapes, etc. of a user using content associated with a VR-based secondary battery production device, but is not limited thereto. That is, the controller (120) can estimate the user's motion using these various sensors, and the simulation device can acquire user behavior information representing the user's motion and execute content associated with a secondary battery production device, such as by operating a VR-based secondary battery production device.

[0062] According to one embodiment, a user can train or learn methods for operating a secondary battery production device, methods for dealing with defects, etc., by using VR-based content associated with a secondary battery production device. For example, when a simulation device receives input from a user to set and / or change condition values ​​of at least some of a plurality of adjustment parameters (e.g., a plurality of adjustment parameters included in the equipment operation part within the content) for operating a virtual secondary battery production device, or receives input to set and / or change the setting values ​​of the virtual secondary battery production device by performing physical measures on the virtual secondary battery production device, the simulation device may operate the virtual secondary battery production device according to the corresponding condition values ​​and / or setting values. That is, the simulation device may correct the operation of the virtual secondary battery production device, etc., according to the condition values ​​and / or setting values, and may modify the material (e.g., mono cell, etc.) and / or quality information of the material (e.g., quality information included in the quality verification part within the content) generated according to the corrected operation.

[0063] According to one embodiment, the simulation device determines one or more quality parameters for determining the quality of a material produced by a virtual secondary battery production device, and while the operation of the virtual secondary battery production device is being executed, it can calculate a value corresponding to each of the one or more quality parameters determined based on the operation of the virtual secondary battery production device being executed. Then, the simulation device can generate and display quality information related to the quality of the material produced by the virtual secondary battery production device based on the value corresponding to each of the one or more quality parameters calculated. That is, the user can correct the operation of the virtual secondary battery production device by changing the condition values ​​of at least some of the multiple adjustment parameters or by changing the setting values, and in this case, the simulation device can adaptively calculate and display quality information according to the corrected operation of the virtual secondary battery production device.

[0064] Although FIG. 1 illustrates a single user using the simulation device, it is not limited thereto, and multiple users may use the simulation device simultaneously. With such a configuration, a user performing secondary battery production can perform training related to the operation method of the secondary battery production device and the method of dealing with defects through the simulation device before being put into work. By training the user in this way, losses due to defects are significantly reduced, and the efficiency of the secondary battery production work can be effectively improved.

[0065] FIG. 2 is a functional block diagram showing the internal configuration of a simulation device (200) according to an embodiment of the present invention. As illustrated, the simulation device (200) may include, but is not limited to, a scenario management unit (210), a test execution unit (220), a user management unit (230), etc. The simulation device (200) may communicate with an HMD (110), a controller (120), a monitor (130), etc., and may exchange data and / or information related to VR-based content.

[0066] According to one embodiment, the scenario management unit (210) determines one or more training scenarios among a plurality of training scenarios associated with a secondary battery production device and can change content associated with the secondary battery production device based on the determined one or more training scenarios. For example, if the secondary battery production device is an L&S device, the plurality of training scenarios may include an electrode replacement scenario, a separator replacement scenario, a stacking tape replacement scenario, a quality check scenario, a sorting scenario, a wire breakage response scenario, etc. In this case, the scenario management unit (210) determines a training scenario by extracting at least one of the electrode replacement scenario, the separator replacement scenario, the stacking tape replacement scenario, the quality check scenario, the sorting scenario, and the wire breakage response scenario, and can change the adjustment parameters, operation, quality information, etc. of the virtual secondary battery production device according to the extracted or determined training scenario.

[0067] According to one embodiment, when a training scenario occurs, the user may change adjustment parameters or change the settings of a virtual secondary battery production device to resolve the generated training scenario. In this case, the scenario management unit (210) receives user behavior information for resolving one or more determined training scenarios and can correct the operation of the virtual secondary battery production device that has been changed based on the received user behavior information. Additionally, while the operation of the corrected virtual secondary battery production device is being executed, the scenario management unit (210) can calculate a value corresponding to each of a plurality of quality parameters associated with the quality of the material produced by the virtual secondary battery production device based on the operation of the virtual secondary battery production device being executed, and correct quality information associated with the quality of the material produced by the corrected virtual secondary battery production device based on the value corresponding to each of the calculated plurality of quality parameters.

[0068] According to one embodiment, the scenario management unit (210) may determine that a training scenario is resolved when a user performs actions corresponding to each training scenario in a predetermined order with an accuracy greater than a predetermined standard. For example, when a separator replacement scenario occurs, the user may perform actions in sequence such as i) checking the location of the unwinder with the depleted separator on the HMI (human machine interface) associated with the secondary battery production device, ii) removing the depleted separator, and iii) inserting a new separator and then operating the HMI to prepare for the next auto splice. In this case, the scenario management unit (210) may determine whether the training scenario is resolved based on user behavior information, such as whether a series of actions were performed in a predetermined order and whether cutting, etc., were performed with high accuracy.

[0069] Additionally or alternatively, the scenario management unit (210) may determine whether one or more training scenarios have been resolved using corrected quality information associated with a virtual secondary battery production device. For example, if the quality of the material is within a predetermined normal range, the scenario management unit (210) may determine that the training scenario has been resolved, but is not limited thereto; if the value of each quality parameter included in the quality information corresponds to a predetermined normal range or a specific value, the scenario management unit (210) may determine that the training scenario has been resolved. Additionally or alternatively, if the value calculated by providing each quality parameter to an arbitrary algorithm corresponds to a predetermined normal range, the scenario management unit (210) may determine that the training scenario has been resolved.

[0070] According to one embodiment, the scenario management unit (210) determines one or more defect scenarios among a plurality of defect scenarios associated with a secondary battery production device, and may change content associated with the secondary battery production device based on the determined one or more defect scenarios. For example, if the virtual secondary battery production device is an L&S device, the defect scenarios may include, but are not limited to, an x-axis alignment defect scenario, a y-axis alignment defect scenario, a cutting defect scenario, etc. associated with a mono cell generated by the L&S device. In this case, the scenario management unit (210) may determine a defect scenario by extracting at least one of the associated x-axis alignment defect scenario, y-axis alignment defect scenario, and cutting defect scenario, and may change the adjustment parameters, operation, quality information, etc. of the virtual secondary battery production device according to the extracted or determined defect scenario.

[0071] According to one embodiment, the setting values, condition values, etc. of a virtual secondary battery production device that are changed to the range of malfunction by a failure scenario may be predetermined for each failure scenario, but are not limited thereto. For example, a failure scenario may be generated based on error information that occurs when an actual secondary battery production device malfunctions. That is, when a malfunction occurs in an external device (e.g., an actual secondary battery production device) associated with the virtual secondary battery production device, the scenario management unit (210) may acquire error information associated with the malfunction and generate a failure scenario associated with the malfunction of the virtual secondary battery production device based on the acquired error information. For example, when a malfunction occurs in an L&S device, the scenario management unit (210) may acquire the values ​​of each adjustment parameter and the setting values ​​of the L&S device at the time of the malfunction as error information. The scenario management unit (210) may generate a failure scenario by changing the values ​​of each adjustment parameter and the setting values ​​of the device acquired in this way to correspond to the virtual secondary battery production device. With this configuration, a failure scenario is generated based on error information from the actual device, so the simulation device (200) can effectively generate training content optimized for the actual work environment.

[0072] According to one embodiment, the test execution unit (220) determines whether one or more training scenarios (or one or more defective scenarios) have been resolved, and if it is determined that one or more training scenarios have been resolved, it can calculate the execution time of one or more training scenarios, the value of the error procedure converted into a score, etc., while the one or more training scenarios are being executed. For example, the execution time for each training item can be converted into a score by comparing it with the standard time, and the value can be calculated through a predetermined arbitrary algorithm based on the number of error procedures converted into a score by comparing it with the existing correct procedure. In addition, the test execution unit (220) can generate operational capability information for a virtual secondary battery production device of a user account by verifying the calculated execution time and error procedure. Here, the user account may refer to the account of a worker using the simulation device (200), and the operational capability information is information indicating the work proficiency of the user, and may include work speed, evaluation score, etc. Additionally, the test execution unit (220) may determine whether the user has passed the simulation training based on operational capability information for each training scenario if the user has solved all predetermined types of training scenarios.

[0073] The user management unit (230) can perform management such as registration, modification, and deletion of user accounts associated with a user using the simulation device (200). According to one embodiment, the user can use the simulation device (200) using their registered user account. In this case, the user management unit (230) can store and manage information on whether each training scenario (or bad scenario) for each user account has been resolved, and information on operational capability corresponding to each training scenario, in an arbitrary database. Using the information stored by the user management unit (230), the scenario management unit (210) can extract information associated with a specific user account stored in the database and extract or determine at least one scenario among a plurality of training scenarios based on the extracted information. For example, the scenario management unit (210) may extract and generate or provide only training scenarios where the work speed is lower than the average work speed based on the information associated with the user account, but is not limited thereto, and training scenarios may be extracted or determined by other arbitrary criteria or a combination of arbitrary criteria.

[0074] In FIG. 2, each functional component included in the simulation device (200) is described separately, but this is merely to aid in understanding the invention, and one computational device may perform two or more functions. With such a configuration, the simulation device (200) can generate and provide to the user training scenarios and / or failure scenarios having various values ​​related to the secondary battery production device, and accordingly, the user can effectively learn countermeasures for each failure situation by training on how to operate the device or by resolving failure situations that may occur in the actual device on their own.

[0075] FIG. 3 is a diagram illustrating an example in which a simulation device (200) according to an embodiment of the present invention extracts a training scenario (312) and provides content (322). As described above, the simulation device (200) can determine one or more training scenarios (312) among a plurality of training scenarios associated with a secondary battery production device, and can change the content (322) associated with the secondary battery production device based on the determined one or more training scenarios (312). As illustrated, the simulation device (200) can extract one or more training scenarios (312) from a training scenario DB (310) and provide content (322) corresponding to the extracted training scenario (312) to an HMD (320).

[0076] According to one embodiment, a plurality of training scenarios may include an electrode replacement scenario associated with a secondary battery production device (e.g., an L&S device). When the electrode replacement scenario is determined as a training scenario, the simulation device (200) may determine one or more electrode supply units among a plurality of electrode supply units associated with the secondary battery production device for which electrode replacement is required, and create or change content. When the electrode replacement scenario occurs, the user may move to the determined electrode supply unit unwinder and operate or set the corresponding electrode supply unit using an HMI, etc. associated with the virtual secondary battery production device. For example, the user may stop the operation of the electrode supply unit by manually selecting the virtual HMI, etc. Then, the user may prepare for an auto splice by performing actions such as cutting the electrode and attaching a connecting tape.

[0077] In this case, the simulation device may acquire first user action information by operating one or more determined electrode supply units, cutting and connecting electrodes associated with one or more electrode supply units, and determine whether the electrode replacement scenario has been completed based on the acquired first user action information. For example, the simulation device may determine that the electrode replacement scenario is completed if the user cuts electrodes in a predetermined order at one or more determined electrode supply units and attaches connecting tapes. In this case, cutting accuracy, connection accuracy, etc., may be calculated or determined.

[0078] Additionally or alternatively, multiple training scenarios may include a separator replacement scenario associated with a secondary battery production device. When a separator replacement scenario is determined as a training scenario, the simulation device (200) may determine one or more separator supply units among the multiple separator supply units associated with the secondary battery production device for which separator replacement is required, and create or modify content. When a separator replacement scenario occurs, the user may move to the determined separator supply unit unwinder and operate or set the corresponding separator supply unit using an HMI, etc. associated with a virtual secondary battery production device. For example, the user may perform actions such as discarding the depleted separator after the auto-splice is completed, inserting a new separator, and manually operating the virtual HMI, etc. to prepare for the next separator auto-splice. Then, the user may perform actions such as cutting the separator and attaching a connecting tape, and restarting the separator supply unit to remove the depleted separator.

[0079] The simulation device can acquire second user action information by operating one or more determined membrane supply units, discarding depleted membranes associated with one or more membrane supply units, inserting a new membrane, and operating an HMI to prepare for an auto splice, and can determine whether the membrane replacement scenario is completed based on the acquired second user action information. For example, the simulation device can determine that the membrane replacement scenario is completed if the user performs the action of discarding depleted membranes in a predetermined order from one or more determined membrane supply units, inserting a new membrane, and manually operating a virtual HMI, etc., to prepare for the next membrane auto splice. In this case, cutting accuracy, connection accuracy, etc., may be calculated or determined.

[0080] Additionally or alternatively, multiple training scenarios may include a stacking tape replacement scenario associated with a secondary battery production device. When the stacking tape replacement scenario is determined as a training scenario, the simulation device (200) may determine one or more tape supply units among the multiple tape supply units associated with the secondary battery production device that require tape replacement, and create or change content. When the stacking tape replacement scenario occurs, the user may move to the determined tape supply unit and operate or configure the tape supply unit using an HMI, etc. associated with the virtual secondary battery production device. For example, the user may stop the operation of the tape supply unit by touching and selecting the virtual HMI, etc. Then, the user may perform the operation of removing the depleted tape from the tape supply unit and inserting a new tape, and the operation of restarting the equipment after checking the cutting quality by operating the HMI.

[0081] The simulation device can acquire third user action information regarding the operation of one or more determined tape feeders, the removal of an exhausted tape from one or more tape feeders, and the insertion of a new tape, and determine whether the stacking tape replacement scenario is completed based on the acquired third user action information. For example, the simulation device can determine that the stacking tape replacement scenario is completed if the user removes a tape from one or more determined tape feeders in a predetermined order and inserts a new tape, and then performs the action of reading the tape and the action of restarting the tape feeders via the HMI.

[0082] Additionally or alternatively, multiple training scenarios may include quality verification scenarios for materials (e.g., mono cells, stack cells, etc.) produced by the secondary battery production device. When a quality verification scenario is determined as a training scenario, the user can determine at least some of the dimensions, cutting condition, and sealing condition of the material produced by the secondary battery production device. For example, the user can take a sample from the mono cell vision inspection unit and check the dimensions, surface, cutting condition, sealing condition, etc. of the mono cell using a loupe tool, etc. In another example, the user can take a sample from the stack cell appearance inspection unit and check tabs, tapes, separators, electrode protrusions, etc. of the appearance. In this case, the user can input the dimensions, condition, etc. of the checked material through a separate input window, etc.

[0083] The simulation device acquires fourth user behavior information that determines at least some of the dimensions, cutting state, and sealing state of a material produced by a secondary battery production device, and can determine whether a quality verification scenario has been completed based on the acquired fourth user behavior information. For example, the simulation device can determine whether a quality verification scenario has been completed based on whether the user checks the surfaces of mono cells, stack cells, etc., in a predetermined order, whether a predetermined specific tool is used, and the accuracy of input values, states, etc.

[0084] Additionally or alternatively, multiple training scenarios may include a sorting scenario for sorting out defective materials. When the sorting scenario is determined as a training scenario, the user can determine whether each mono-cell generated by the secondary battery production device is defective. For example, the user may perform actions such as removing tape from a stacked cell generated by the secondary battery production device to extract a mono-cell, measuring the insulation resistance of the extracted mono-cell, determining whether the mono-cell is defective based on the gap between the electrode and the separator and the shoulder line defects, and reintroducing good products into the stacking equipment. In this case, the user can determine whether the measured insulation resistance and defect status of each mono-cell are defective by comparing them with the work standard document within the simulator.

[0085] The simulation device can extract a mono cell from a stack cell generated by a secondary battery production device, measure the insulation resistance of the extracted mono cell, perform an electrode surface condition inspection, and obtain fifth user action information that measures whether there is a gap between the electrode and the separator and whether there is a shoulder line defect, and determine whether the sorting scenario is completed based on the obtained fifth user action information. For example, the simulation device can determine that the sorting scenario is completed when the user performs actions such as extracting a mono cell in a predetermined order, measuring the insulation resistance of the extracted mono cell, performing an electrode surface condition inspection, measuring whether there is a gap between the electrode and the separator and whether there is a shoulder line defect, and determining whether there is a defect in the mono cell based on the measured values.

[0086] Additionally or alternatively, multiple training scenarios may include a disconnection response scenario. If the disconnection response scenario is determined as a training scenario, the simulation device can determine the disconnection location associated with a virtual secondary battery production device. In this case, the user may perform actions such as verifying the disconnection location (e.g., joining section, path-line, cutter section, etc.) by checking the HMI, operating the virtual secondary battery production device to remove the disconnected electrode, reading a new electrode to reconnect it, checking the electrode cutting status to determine if there is an abnormality, and restarting the equipment.

[0087] The simulation device acquires sixth user action information, which involves removing a disconnected electrode at a determined disconnection location and connecting a new electrode, and can determine whether the disconnection action scenario is completed based on the acquired sixth user action information. For example, the simulation device can determine that the disconnection action scenario is completed if the user performs actions such as removing a disconnected electrode and connecting a new electrode in a predetermined order.

[0088] In FIG. 3, it is described that a single training scenario occurs and is processed by the user, but this is not limited thereto, and multiple training scenarios may occur simultaneously in combination. With such a configuration, the user can perform the necessary training in advance to operate or run a secondary battery production device using a virtual VR-based simulation device, and accordingly, when the new worker is introduced into the actual production process, the loss that may occur can be significantly reduced.

[0089] FIG. 4 is a diagram showing an example in which operational capability information (420) and test results (430) are generated according to an embodiment of the present invention. As described above, when a training scenario (or a bad scenario) occurs, the simulation device (200) receives user behavior information (410), etc. from a user (an HMD, controller, etc. associated with the user), and can determine whether the training scenario has been resolved based on the received user behavior information (410), etc.

[0090] According to one embodiment, when the simulation device (200) determines that the training scenario has been resolved, it calculates the execution time and error procedure conversion value of the training scenario during the execution of the training scenario, and generates operational capability information (420) for a virtual secondary battery production device of a user account based on the calculated execution time and error procedure conversion value. Here, the user's training score may be calculated using an arbitrary algorithm based on the user's sequence of operations, operation accuracy, etc., but is not limited thereto.

[0091] According to one embodiment, test results (430) may be output along with operational capability information (420). For example, a user associated with the corresponding user account may perform a test for any training scenario, and if all training scenarios associated with a specific secondary battery production device are solved according to predetermined criteria, the simulation device (200) may determine that the user has passed the simulation test for the secondary battery production device.

[0092] FIG. 5 is a diagram showing an example of a display screen (500) on which VR-based content is displayed according to an embodiment of the present invention. As described above, content related to a secondary battery production device corresponding to the user's gaze direction and gaze position may be displayed on the display screen (500) of the HMD. In this case, the content may also be displayed together on any display device (e.g., a monitor) associated with the HMD.

[0093] According to one embodiment, the content may include VR videos, animations, etc., implemented in virtual reality of a factory, facility, etc., including a secondary battery production device. In the illustrated example, the content may include images, etc., representing user hand movements sensed using a controller and an HMI (e.g., facility operating part) (510) that includes a plurality of adjustment parameters capable of determining or adjusting the operation of a secondary battery production device (e.g., L&S device). The user can experience a virtual secondary battery production facility using a VR device composed of an HMD and a controller.

[0094] According to one embodiment, a user can execute or change the operation of a secondary battery production device by changing or adjusting the condition values ​​of at least some of the multiple adjustment parameters included in the HMI (510). For example, the user can execute or change the operation of the secondary battery production device by selecting an area corresponding to an icon, etc., that can change the condition values ​​of at least some of the multiple adjustment parameters, using touch input (520), etc. That is, the operation of the virtual secondary battery production device can be adaptively changed or corrected by changes in the adjustment parameters input by the user.

[0095] According to one embodiment, the simulation device may change the operation of a virtual secondary battery production device or change quality information generated by the changed operation of the virtual secondary battery production device based on each condition value of the adjustment parameter entered by the user. Additionally or alternatively, the user may change the setting value of the virtual secondary battery production device by performing physical actions such as touching or dragging the virtual secondary battery production device. In this case, the simulation device may change the operation of the virtual secondary battery production device or change quality information generated by the changed operation of the virtual secondary battery production device based on the setting value changed by the user.

[0096] FIG. 6 is a diagram showing an example of a display screen (600) on which user guide information (610) according to an embodiment of the present invention is displayed. As described above, content related to a secondary battery production device corresponding to the user's gaze direction and gaze position may be displayed on the display screen (600) of the HMD. In this case, the content may also be displayed together on any display device (e.g., a monitor) associated with the HMD.

[0097] As described, when a disconnection scenario occurs, the user can perform the action of removing the disconnected electrode at the disconnection location and connecting a new electrode. For example, the user can select a cutter knife tool via touch input or the like, and then use the tool to remove the disconnected electrode and connect a new electrode. In this case, user guide information (610) to guide the user on the necessary actions and / or a line (620) for removing the electrode, etc., may be displayed on the display screen (600).

[0098] According to one embodiment, the simulation device can determine whether the user satisfies the guide condition based on the user's gaze direction and gaze position. For example, the simulation device may determine that the guide condition is satisfied if the user is within a predetermined distance of a disconnection position associated with the disconnected electrode, but is not limited thereto. In another example, the simulation device may determine that the guide condition is satisfied if the user gazes at the disconnection position for a predetermined period of time.

[0099] If it is determined that the user satisfies the guide conditions, the simulation device may display user guide information (610) associated with one or more determined training scenarios along with content associated with the secondary battery production device. In the illustrated example, the user guide information (610) may include a guidance message such as, "Use a utility knife to cut the severed electrode end in a straight line along the indicated dotted line." With this configuration, the user can effectively perform training using the user guide information (610) even if they do not know how to respond to the training scenario.

[0100] FIG. 7 is a diagram showing an example of a display screen (700) in which operational capability information (710) according to an embodiment of the present invention is displayed. As described above, content related to a secondary battery production device corresponding to the user's gaze direction and gaze position may be displayed on the display screen (700) of the HMD. In this case, the content may also be displayed together on any display device (e.g., a monitor) associated with the HMD.

[0101] According to one embodiment, the simulation device determines whether at least some of a plurality of training scenarios associated with a secondary battery production device have been completed by a user, and if it is determined that at least some of the plurality of training scenarios have been completed, it can calculate user operational capability information (710) corresponding to at least some of the completed plurality of training scenarios. In this case, the calculated user operational capability information (710) may be displayed together with content associated with the secondary battery production device, but is not limited thereto.

[0102] In the illustrated example, operational capability information (710) may include the time taken, procedure results, misoperation procedures, and evaluation scores. For example, each training scenario may consist of multiple procedures, and the simulation device may determine whether the user performs the multiple procedures in a predetermined order with an accuracy greater than a predetermined standard. If the user performs the procedures out of order or with an accuracy lower than a predetermined standard, the simulation device may determine that the procedure is a misoperation procedure. Then, the simulation device may calculate and provide an evaluation score for the user's specific training scenario using the total time taken, the number of misoperation procedures, etc. With this configuration, the user can simply identify and process training scenarios that are lacking in training, thereby allowing them to focus on training only the training scenarios with low work proficiency.

[0103] FIG. 8 is a diagram showing an example of how a defect scenario (822) is generated according to an embodiment of the present invention. As illustrated, the simulation device (200) communicates with an external device (e.g., a secondary battery production device, etc.) (810), a defect scenario DB (820), etc., and can exchange data and / or information necessary for generating the defect scenario (822).

[0104] According to one embodiment, if a malfunction occurs in an external device (810), the simulation device (200) may receive or obtain error information (812) associated with the malfunction that occurred from the external device (810). Here, the error information (812) may include operation information of the external device (810) at the time the malfunction occurred and the amount of change in quality of the material generated by the external device (810). In this case, the simulation device (200) may determine the values ​​of each quality parameter of the condition value, setting value, and / or quality information of a virtual secondary battery production device to correspond to the error information (812), and may generate a defect scenario (822) having the determined values ​​of the condition value, setting value, and / or quality parameter of the virtual secondary battery production device. The defect scenario (822) thus generated may be stored and managed in a defect scenario DB (820). For example, the simulation device (200) can generate a defect scenario (822) by using any algorithm and / or a learned machine learning model to determine the value of each quality parameter of the condition value, setting value and / or quality information of a virtual secondary battery production device to correspond to error information (812).

[0105] According to one embodiment, the simulation device (200) can convert operation information of an external device (810) into a first set of parameters associated with the operation of a virtual secondary battery production device, and convert the amount of change in quality of a material generated by the external device (810) into a second set of parameters associated with quality information associated with the quality of a material generated by the virtual secondary battery production device. Then, the simulation device (200) can determine the category of a malfunction that occurred in the external device (810) using the converted first set of parameters and the second set of parameters, and generate a defect scenario based on the determined category, the first set of parameters, and the second set of parameters.

[0106] In FIG. 8, it is described that a failure scenario is generated when an external device (810) malfunctions, but this is not limited thereto, and for example, the failure scenario can be predetermined by any user. In another example, the failure scenario may be generated by randomly determining setting values, condition values, quality information, etc. associated with a virtual secondary battery production device within a predetermined abnormal range. With such a configuration, the user can effectively improve their ability to respond to failures by training using a failure scenario generated based on a malfunction that occurred in an actual work environment.

[0107] FIG. 9 is a diagram illustrating an example of a VR-based simulation method (900) for producing a secondary battery according to an embodiment of the present invention. The VR-based simulation method (900) for producing a secondary battery may be performed by a processor (e.g., at least one processor of a simulation device). As illustrated, the VR-based simulation method (900) for producing a secondary battery may be initiated by the processor receiving the user's gaze direction and gaze position identified from the HMD (S910).

[0108] The processor can display content associated with a secondary battery production device corresponding to the received gaze direction and gaze position based on the area on the display of the HMD (S920). In this case, the content can be displayed together on any monitor (display device) associated with the HMD.

[0109] The processor can obtain user behavior information representing a user motion determined from at least one of the HMD and the controller associated with the HMD (S930). Additionally, the processor can execute content associated with the secondary battery production device based on the obtained user behavior information (S940). According to one embodiment, the processor determines one or more training scenarios among a plurality of training scenarios associated with the secondary battery production device, and can change content associated with the secondary battery production device based on the determined one or more training scenarios.

[0110] FIG. 10 is a diagram illustrating an example of a test result calculation method (1000) according to one embodiment. The test result calculation method (1000) may be performed by a processor (e.g., at least one processor of a simulation device). As illustrated, the test result calculation method (1000) may have a processor determine whether at least some of a plurality of training scenarios associated with a secondary battery production device have been completed by a user (S1010).

[0111] When the processor determines that at least some of the multiple training scenarios have been completed, it can calculate user operation capability information corresponding to at least some of the completed multiple training scenarios (S1020). Additionally, the processor can display the calculated user operation capability information together with content associated with the secondary battery production device (S1030). For example, the processor can calculate operation capability information, etc. by inputting the user's operation sequence, operation accuracy, response time, etc., into any algorithm, machine learning model, etc., but is not limited thereto.

[0112] FIG. 11 is a diagram illustrating an example of a method for generating a failure scenario (1100) according to an embodiment of the present invention. The method for generating a failure scenario (1100) may be performed by a processor (e.g., at least one processor of a simulation device). As illustrated, the method for generating a failure scenario (1100) may be initiated by the processor obtaining error information associated with a malfunction when a malfunction occurs in an external device associated with a virtual secondary battery production device (S1110).

[0113] The processor can generate a failure scenario associated with a malfunction of a virtual secondary battery production device based on acquired error information (S1120). Here, the error information may include the values ​​and setting values ​​of each adjustment parameter of the production equipment in the event that the actual secondary battery production equipment associated with the virtual secondary battery production device malfunctions. For example, if the quality of the material produced by the secondary battery production equipment deviates from a predetermined normal range, it may be determined that a malfunction has occurred. If it is determined that a malfunction has occurred, the processor acquires error information associated with the malfunction and can generate a failure scenario associated with a malfunction of the virtual secondary battery production device based on the acquired error information.

[0114] FIG. 12 illustrates an exemplary computing device (1200) for performing the method and / or embodiment described above. According to one embodiment, the computing device (1200) may be implemented using hardware and / or software configured to interact with a user. Here, the computing device (1200) may include the simulation device (200 of FIG. 2) described above. For example, the computing device (1200) may be configured to support a virtual reality (VR), augmented reality (AR), or mixed reality (MR) environment, but is not limited thereto. The computing device (1200) may include, but is not limited to, a laptop, desktop, workstation, personal digital assistant, server, blade server, mainframe, etc. The components of the computing device (1200) described above, their connections, and their functions are intended to be exemplary and are not intended to limit the embodiments of the invention described and / or claimed herein.

[0115] The computing device (1200) includes a processor (1210), memory (1220), storage device (1230), communication device (1240), a high-speed interface (1250) connected to the memory (1220) and a high-speed expansion port, and a low-speed interface (1260) connected to the low-speed bus and storage device. Each of the components (1210, 1220, 1230, 1240 and 1250) may be interconnected using various buses and may be mounted on the same main board or connected in other suitable ways. The processor (1210) may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input / output operations. For example, the processor (1210) can process instructions stored in memory (1220), storage device (1230), etc., and / or instructions executed within a computing device (1200) to display graphic information on an external input / output device (1270), such as a display device coupled to a high-speed interface (1250).

[0116] The communication device (1240) may provide a configuration or function for the input / output device (1270) and the computing device (1200) to communicate with each other via a network, and may provide a configuration or function to support the input / output device (1270) and / or the computing device (1200) communicating with other external devices, etc. For example, a request or data generated by the processor of an external device according to any program code may be transmitted to the computing device (1200) via a network under the control of the communication device (1240). Conversely, a control signal or command provided under the control of the processor (1210) of the computing device (1200) may be transmitted to another external device via the communication device (1240) and the network.

[0117] In FIG. 12, the computing device (1200) is depicted as including one processor (1210), one memory (1220), etc., but is not limited thereto, and the computing device (1200) may be implemented using multiple memories, multiple processors and / or multiple buses, etc. Additionally, in FIG. 12, it is described as having one computing device (1200), but is not limited thereto, and multiple computing devices may interact and perform operations necessary to execute the method described above.

[0118] Memory (1220) can store information within a computing device (1200). According to one embodiment, memory (1220) may be composed of a volatile memory unit or a plurality of memory units. Additionally or alternatively, memory (1220) may be composed of a non-volatile memory unit or a plurality of memory units. Furthermore, memory (1220) may be composed of other forms of computer-readable media, such as a magnetic disk or an optical disk. Additionally, memory (1220) may store an operating system and at least one program code and / or instruction.

[0119] The storage device (1230) may be one or more mass storage devices for storing data for the computing device (1200). For example, the storage device (1230) may be a computer-readable medium including a magnetic disc such as a hard disk or removable disk, an optical disc, a semiconductor memory device such as an EPROM (Erasable Programmable Read-Only Memory), an EEPROM (Electrically Erasable PROM), or a flash memory device, or may be configured to include such a computer-readable medium. Additionally, a computer program may be tangibly implemented on such a computer-readable medium.

[0120] The high-speed interface (1250) and the low-speed interface (1260) may be means for interaction with an input / output device (1270). For example, the input device may include a device such as a camera including an audio sensor and / or an image sensor, a keyboard, a microphone, a mouse, etc., and the output device may include a device such as a display, a speaker, a haptic feedback device, etc. In another example, the high-speed interface (1250) and the low-speed interface (1260) may be means for interfacing with a device in which the configuration or function for performing input and output is integrated into one, such as a touchscreen, etc.

[0121] According to one embodiment, the high-speed interface (1250) manages bandwidth-intensive operations for the computing device (1200), while the low-speed interface (1260) may manage less bandwidth-intensive operations than the high-speed interface (1250), but such function assignments are merely exemplary. According to one embodiment, the high-speed interface (1250) may be coupled to high-speed expansion ports capable of accommodating memory (1220), an input / output device (1270), and various expansion cards (not shown). Additionally, the low-speed interface (1260) may be coupled to a storage device (1230) and a low-speed expansion port. Furthermore, the low-speed expansion port, which may include various communication ports (e.g., USB, Bluetooth, Ethernet, wireless Ethernet), may be coupled to one or more input / output devices (1270), such as a keyboard, a pointing device, or a scanner, or to a networking device such as a router or a switch via a network adapter, etc.

[0122] The computing device (1200) may be implemented in a number of different forms. For example, the computing device (1200) may be implemented as a standard server or as a group of such standard servers. Additionally or alternatively, the computing device (1200) may be implemented as part of a rack server system or as a personal computer such as a laptop computer. In this case, components from the computing device (1200) may be combined with other components within any mobile device (not shown). The computing device (1200) may include one or more other computing devices or be configured to communicate with one or more other computing devices.

[0123] In FIG. 12, the input / output device (1270) is depicted as not being included in the computing device (1200), but is not limited thereto and may be configured as a single device with the computing device (1200). Additionally, in FIG. 12, the high-speed interface (1250) and / or low-speed interface (1260) are depicted as elements configured separately from the processor (1210), but is not limited thereto and the high-speed interface (1250) and / or low-speed interface (1260) may be configured to be included in the processor.

[0124] The methods and / or various embodiments described above may be realized in digital electronic circuits, computer hardware, firmware, software, and / or combinations thereof. Various embodiments of the present invention may be executed by a data processing device, for example, one or more programmable processors and / or one or more computing devices, or implemented as a computer program stored on a computer-readable medium and / or on a computer-readable medium. The computer program described above may be written in any form of programming language, including a compiled language or an interpreted language, and may be distributed in any form, such as a standalone program, a module, or a subroutine. The computer program may be distributed through a single computing device, a plurality of computing devices connected through the same network, and / or a plurality of computing devices distributed to be connected through a plurality of different networks.

[0125] The above-described methods and / or various embodiments may be performed by one or more processors configured to execute one or more computer programs that process, store, and / or manage any functions, functions, etc. by operating based on input data or generating output data. For example, the methods and / or various embodiments of the present invention may be performed by special-purpose logic circuits such as a Field Programmable Gate Array (FPGA) or an Application Specific Integrated Circuit (ASIC), and an apparatus and / or system for performing the methods and / or embodiments of the present invention may be implemented as a special-purpose logic circuit such as an FPGA or an ASIC.

[0126] One or more processors executing a computer program may include one or more processors of a general-purpose or special-purpose microprocessor and / or any type of digital computing device. The processor may receive instructions and / or data from each of read-only memory and random access memory, or receive instructions and / or data from read-only memory and random access memory. In the present invention, components of a computing device performing the methods and / or embodiments may include one or more processors for executing instructions and one or more memories for storing instructions and / or data.

[0127] According to one embodiment, a computing device may exchange data with one or more mass storage devices for storing data. For example, the computing device may receive and / or receive data from a magnetic disc or an optical disc, and may transfer data to a magnetic disc or an optical disc. A computer-readable medium suitable for storing instructions and / or data associated with a computer program may include, but is not limited to, any form of non-volatile memory including semiconductor memory devices such as EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable PROM), and flash memory devices. For example, the computer-readable medium may include magnetic discs such as internal hard disks or removable disks, photomagnetic discs, CD-ROMs, and DVD-ROMs.

[0128] To provide interaction with a user, the computing device may include, but is not limited to, a display device for providing or displaying information to the user (e.g., CRT (Cathode Ray Tube), LCD (Liquid Crystal Display), etc.) and a pointing device (e.g., keyboard, mouse, trackball, etc.) on which the user can provide input and / or commands, etc. on the computing device. That is, the computing device may further include any other type of device for providing interaction with the user. For example, the computing device may provide any form of sensory feedback to the user for interaction with the user, including visual feedback, auditory feedback and / or tactile feedback. In this regard, the user may provide input to the computing device through various gestures such as visual, vocal, and motion.

[0129] In the present invention, various embodiments may be implemented in a computing device comprising back-end components (e.g., data servers), middleware components (e.g., application servers), and / or front-end components. In this case, the components may be interconnected by any form or medium of digital data communication, such as a communication network. According to one embodiment, the communication network may be composed of a wired network such as Ethernet, Power Line Communication, telephone line communication devices, and RS-serial communication, a mobile communication network, a Wireless LAN (WLAN), a wireless network such as Wi-Fi, Bluetooth, and ZigBee, or a combination thereof. For example, the communication network may include a Local Area Network (LAN), a Wide Area Network (WAN), etc.

[0130] A computing device based on the exemplary embodiments described herein may be implemented using hardware and / or software configured to interact with a user, including a user device, a user interface (UI) device, a user terminal, or a client device. For example, the computing device may include a portable computing device such as a laptop computer. Additionally or alternatively, the computing device may include, but is not limited to, Personal Digital Assistants (PDAs), tablet PCs, game consoles, wearable devices, Internet of Things (IoT) devices, Virtual Reality (VR) devices, Augmented Reality (AR) devices, etc. The computing device may further include other types of devices configured to interact with a user. Additionally, the computing device may include a portable communication device suitable for wireless communication over a network such as a mobile communication network (e.g., a mobile phone, a smartphone, a wireless cellular phone, etc.). A computing device may be configured to communicate wirelessly with a network server using wireless communication technologies and / or protocols such as radio frequency (RF), microwave frequency (MWF) and / or infrared frequency (IRF).

[0131] Various embodiments of the present invention, including specific structural and functional details, are exemplary. Accordingly, the embodiments of the present invention are not limited to those described above and may be implemented in various other forms. Furthermore, the terms used in the present invention are intended to describe some embodiments and are not to be interpreted as limiting the embodiments. For example, singular words and the above may be interpreted to include plural forms unless the context clearly indicates otherwise.

[0132] In this invention, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which such concepts belong. Furthermore, commonly used terms, such as those defined in advance, should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology.

[0133] Although the present invention has been described in relation to some embodiments, various modifications and changes may be made without departing from the scope of the invention as understood by a person skilled in the art to which the invention pertains. Furthermore, such modifications and changes should be considered to fall within the scope of the claims appended to this specification. Explanation of the symbols

[0135] 110: HMD 120: Controller 130: Monitor

Claims

Claim 1 A VR (virtual reality)-based simulation device for secondary battery production, comprising: a memory configured to store at least one set of instructions; and at least one processor configured to execute the at least one set of instructions stored in the memory, wherein the at least one set of instructions includes instructions for receiving a user’s gaze direction and gaze position identified from a head-mounted display (HMD), displaying content associated with a secondary battery production device corresponding to the received gaze direction and gaze position based on an area on the display of the HMD, acquiring user behavior information representing the user’s motion determined from at least one of the HMD and a controller associated with the HMD, executing the content associated with the secondary battery production device based on the acquired user behavior information, determining one or more training scenarios among a plurality of training scenarios associated with the secondary battery production device, and changing the content associated with the secondary battery production device based on the determined one or more training scenarios. Claim 2 delete Claim 3 A VR-based simulation device for secondary battery production according to claim 1, wherein the plurality of training scenarios include an electrode replacement scenario associated with the secondary battery production device, and the at least one command further includes commands for determining one or more electrode supply units among a plurality of electrode supply units associated with the secondary battery production device where electrode replacement is required when the determined one or more training scenarios include the electrode replacement scenario, operating the determined one or more electrode supply units, obtaining first user action information for cutting and connecting an electrode associated with the one or more electrode supply units, and determining whether the electrode replacement scenario has been completed based on the obtained first user action information. Claim 4 A VR-based simulation device for secondary battery production according to claim 1, wherein the at least one instruction comprises: the plurality of training scenarios including a separator replacement scenario associated with the secondary battery production device; and the at least one instruction further comprises instructions for determining, when the determined one or more training scenarios include the separator replacement scenario, one or more separator supply units among the plurality of separator supply units associated with the secondary battery production device for which separator replacement is required, operating the determined one or more separator supply units, discarding the spent separator associated with the one or more separator supply units, and obtaining second user action information for preparing an auto splice by operating an HMI after inserting a new separator, and determining whether the separator replacement scenario has been completed based on the obtained second user action information. Claim 5 A VR-based simulation device for secondary battery production according to claim 1, wherein the plurality of training scenarios include a stacking tape replacement scenario associated with the secondary battery production device, and the at least one instruction further includes instructions for determining one or more tape supply units among a plurality of tape supply units associated with the secondary battery production device where tape replacement is required when the determined one or more training scenarios include the stacking tape replacement scenario, operating the determined one or more tape supply units, obtaining third user action information for removing a depleted tape from the one or more tape supply units and inserting a new tape, and determining whether the stacking tape replacement scenario has been completed based on the obtained third user action information. Claim 6 A VR-based simulation device for secondary battery production according to claim 1, wherein the plurality of training scenarios include a quality verification scenario for a material produced by the secondary battery production device, and the at least one command further includes commands for acquiring fourth user action information for determining at least some of the dimensions, cutting state, and sealing state of a material produced by the secondary battery production device when the one or more determined training scenarios include the quality verification scenario, and commands for determining whether the quality verification scenario has been completed based on the acquired fourth user action information. Claim 7 A VR-based simulation device for secondary battery production according to claim 1, wherein the plurality of training scenarios include a screening scenario for screening defective materials, and the at least one command further includes commands for extracting a mono-cell from a stacked cell generated by the secondary battery production device, measuring the insulation resistance of the extracted mono-cell, performing an electrode surface condition inspection, obtaining fifth user behavior information for measuring the gap between the electrode and the separator and whether there is a shoulder line defect, and determining whether the screening scenario has been completed based on the obtained fifth user behavior information when the determined one or more training scenarios include the screening scenario. Claim 8 A VR-based simulation device for secondary battery production according to claim 1, wherein the plurality of training scenarios include a disconnection action scenario, and the at least one command further includes commands for determining a disconnection location associated with the secondary battery production device when the determined one or more training scenarios include the disconnection action scenario, obtaining sixth user action information for removing the disconnected electrode at the determined disconnection location and connecting a new electrode, and determining whether the disconnection action scenario has been completed based on the obtained sixth user action information. Claim 9 A VR-based simulation device for secondary battery production according to claim 1, wherein the at least one command further comprises commands for determining whether at least a portion of a plurality of training scenarios associated with the secondary battery production device has been completed by the user, and, if it is determined that at least a portion of the plurality of training scenarios has been completed, calculating user operational capability information corresponding to at least a portion of the completed plurality of training scenarios, and displaying the calculated user operational capability information together with content associated with the secondary battery production device. Claim 10 A VR-based simulation device for secondary battery production according to claim 1, wherein the at least one command further comprises commands for determining whether the user satisfies a guide condition based on the user's gaze direction and gaze position, and, if the user is determined to satisfy the guide condition, displaying user guide information associated with one or more determined training scenarios together with content associated with the secondary battery production device. Claim 11 A VR-based simulation method for secondary battery production performed by at least one processor, comprising: receiving a user’s gaze direction and gaze position identified from an HMD; displaying content associated with a secondary battery production device corresponding to the received gaze direction and gaze position based on an area on the display of the HMD; obtaining user behavior information representing the user’s motion determined from at least one of the HMD and a controller associated with the HMD; executing the content associated with the secondary battery production device based on the obtained user behavior information; determining one or more training scenarios among a plurality of training scenarios associated with the secondary battery production device; and changing the content associated with the secondary battery production device based on the one or more determined training scenarios. Claim 12 delete Claim 13 A VR-based simulation method for secondary battery production according to claim 11, wherein the plurality of training scenarios include an electrode replacement scenario associated with the secondary battery production device, and the method further comprises: a step of determining one or more electrode supply units among a plurality of electrode supply units associated with the secondary battery production device for which electrode replacement is required when the determined one or more training scenarios include the electrode replacement scenario; a step of obtaining first user action information for operating the determined one or more electrode supply units and cutting and connecting an electrode associated with the one or more electrode supply units; and a step of determining whether the electrode replacement scenario has been completed based on the obtained first user action information. Claim 14 A VR-based simulation method for secondary battery production according to claim 11, wherein the plurality of training scenarios include a separator replacement scenario associated with the secondary battery production device, and the method further comprises: a step of determining one or more separator supply units among a plurality of separator supply units associated with the secondary battery production device for which separator replacement is required when the one or more determined training scenarios include the separator replacement scenario; a step of obtaining second user behavior information by operating the one or more determined separator supply units, discarding the spent separator associated with the one or more separator supply units, and preparing an auto splice by operating an HMI after inserting a new separator; and a step of determining whether the separator replacement scenario has been completed based on the second user behavior information obtained. Claim 15 A VR-based simulation method for secondary battery production according to claim 11, wherein the plurality of training scenarios include a stacking tape replacement scenario associated with the secondary battery production device, and the method further comprises: a step of determining one or more tape supply units among a plurality of tape supply units associated with the secondary battery production device for which tape replacement is required when the determined one or more training scenarios include the stacking tape replacement scenario; a step of obtaining third user action information for operating the determined one or more tape supply units, removing a depleted tape from the one or more tape supply units, and inserting a new tape; and a step of determining whether the stacking tape replacement scenario is completed based on the obtained third user action information. Claim 16 A VR-based simulation method for secondary battery production according to claim 11, wherein the plurality of training scenarios include a quality verification scenario for a material produced by the secondary battery production device, and the method further comprises: a step of obtaining fourth user behavior information that determines at least some of the dimensions, cutting state, and sealing state of a material produced by the secondary battery production device when the one or more determined training scenarios include the quality verification scenario; and a step of determining whether the quality verification scenario has been completed based on the obtained fourth user behavior information. Claim 17 A VR-based simulation method for secondary battery production according to claim 11, wherein the plurality of training scenarios include a screening scenario for screening defective materials, and the method further comprises the steps of: extracting a mono cell from a stack cell generated by the secondary battery production device, measuring the insulation resistance of the extracted mono cell, performing an electrode surface condition inspection, and obtaining fifth user behavior information for measuring the gap between the electrode and the separator and whether there is a shoulder line defect, when the one or more determined training scenarios include the screening scenario; and determining whether the screening scenario has been completed based on the obtained fifth user behavior information. Claim 18 A VR-based simulation method for secondary battery production according to claim 11, wherein the plurality of training scenarios include a disconnection action scenario, and the method further comprises: a step of determining a disconnection location associated with the secondary battery production device when the one or more determined training scenarios include the disconnection action scenario; a step of obtaining sixth user action information for removing a disconnected electrode at the determined disconnection location and connecting a new electrode; and a step of determining whether the disconnection action scenario is completed based on the obtained sixth user action information. Claim 19 A VR-based simulation method for secondary battery production according to claim 11, further comprising: a step of determining whether at least some of a plurality of training scenarios associated with the secondary battery production device have been completed by the user; a step of calculating user operation capability information corresponding to at least some of the completed plurality of training scenarios when it is determined that at least some of the plurality of training scenarios have been completed; and a step of displaying the calculated user operation capability information together with content associated with the secondary battery production device. Claim 20 A VR-based simulation method for secondary battery production according to claim 11, further comprising: a step of determining whether the user satisfies the guide conditions based on the user's gaze direction and gaze position; and a step of, if the user is determined to satisfy the guide conditions, displaying user guide information associated with one or more determined training scenarios together with content associated with the secondary battery production device. Claim 21 A computer program stored on a computer-readable medium for executing a method according to any one of paragraphs 11, 13 through 20 on a computer.

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