Roller press simulation device and method for producing secondary battery

Abstract

This invention relates to a roller press simulation device for producing secondary batteries. The roller press simulation device for producing secondary batteries includes: a memory configured to store at least one instruction; and at least one processor configured to execute the at least one instruction stored in the memory. The at least one instruction includes instructions for: executing a device action unit, an equipment operation unit, a main operation panel, and a quality confirmation unit. The device action unit includes a 3D roller press associated with the production of secondary batteries. The equipment operation unit includes multiple adjustment parameters for determining the operation of the 3D roller press. The main operation panel includes multiple buttons for driving the 3D roller press. The quality confirmation unit includes quality information associated with the quality of the material produced by the 3D roller press. The device action unit acquires at least one of first user behavior information obtained through the device action unit, button operation information obtained through the main operation panel, and first user condition information obtained through the equipment operation unit. The device action unit determines the operation of the 3D roller press based on at least one of the acquired first user behavior information, button operation information, and first user condition information. The device action unit executes the operation of the 3D roller press based on the determined operation.

Description

Technical Field

[0001] This invention relates to a roller press simulation device and method for producing secondary batteries, and more specifically, to a roller press simulation device and method for training operators in secondary battery production. Background Technology

[0002] Recently, with the growth of the electric vehicle market, the demand for the development and production of secondary batteries has increased dramatically. To meet this increased demand, the number of manufacturing plants for secondary batteries has also increased. However, there is a significant shortage of skilled operators to start up these secondary battery manufacturing plants.

[0003] On the other hand, in the past, training and education for newly hired operators was typically conducted through a learn-by-doing approach, having them observe and learn from experienced operators. However, the busy production schedule for secondary batteries makes it impossible to provide extended training and education for new operators. Furthermore, frequent operator turnover makes it difficult to ensure a sufficient number of skilled operators. Moreover, even with training, operators cannot immediately handle the various types of adverse situations that may occur during factory startup, even with standard factory operating methods. Summary of the Invention

[0004] Technical issues

[0005] The present invention provides a roller press simulation device (system), method for producing secondary batteries, a computer program stored in a computer-readable medium, and a computer-readable medium storing the computer program for solving the problems described above.

[0006] Technical solution

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

[0008] A roller press simulation device for producing secondary batteries according to an embodiment of the present invention includes: a memory configured to store at least one instruction; and at least one processor configured to execute the at least one instruction stored in the memory. The at least one instruction includes instructions for: executing a device action unit, an equipment operation unit, a main operation panel, and a quality confirmation unit; the device action unit includes a 3D roller press associated with the production of secondary batteries; the equipment operation unit includes multiple adjustment parameters for determining the operation of the 3D roller press; the main operation panel includes multiple buttons for driving the 3D roller press; the quality confirmation unit includes quality information associated with the quality of the material produced by the 3D roller press; obtaining at least one of first user behavior information obtained through the device action unit, button operation information obtained through the main operation panel, and first user condition information obtained through the equipment operation unit; determining the operation of the 3D roller press based on at least one of the obtained first user behavior information, button operation information, and first user condition information; and executing the operation of the 3D roller press based on the determined operation.

[0009] According to one embodiment of the present invention, at least one instruction further includes an instruction for changing the adjustment parameters displayed in the device operation unit based on first user behavior information obtained through the device operation unit.

[0010] According to an embodiment of the present invention, at least one instruction further includes instructions for: executing a 3D roller press training scenario based on the operation process of the 3D roller press; executing at least one of the following: driving the 3D roller press with animation according to the 3D roller press training scenario, displaying a user behavior guidance image on the device action unit, displaying a button operation guidance image on the main operation panel, and displaying a user condition input guidance image on the equipment operation unit; obtaining at least one of first user behavior information, button operation information, and first user condition information; and changing at least one of the device action unit, equipment operation unit, and main operation panel based on at least one of the obtained first user behavior information, button operation information, and first user condition information.

[0011] According to an embodiment of the present invention, the 3D roller press training scenario includes at least one of the following: work instruction confirmation training steps, edge position control (EPC) adjustment training steps, tension adjustment training steps, roll gap adjustment training steps, back pressure adjustment training steps, and quality confirmation training steps.

[0012] According to an embodiment of the present invention, at least one instruction further includes instructions for: determining one or more quality parameters for determining the quality of the material generated by the 3D roller press; calculating values ​​corresponding to the determined one or more quality parameters based on the executed operation of the 3D roller press during the execution of the operation of the 3D roller press; and generating quality information associated with the quality of the material generated by the 3D roller press and displaying it in the quality confirmation unit based on the calculated values ​​corresponding to the one or more quality parameters.

[0013] According to one embodiment of the present invention, at least one instruction further includes instructions for: determining one or more case training scenarios among a plurality of case training scenarios associated with the quality of the material produced by the 3D roller press; and changing at least one of the operation of the 3D roller press and quality information associated with the quality of the material based on the determined one or more case training scenarios.

[0014] According to an embodiment of the present invention, the case training scenario includes at least one of the following: a total thickness defect scenario where the total thickness of the material exceeds the upper or lower limit of the specification; an operator-direction thickness defect scenario where the operator-direction thickness of the material exceeds the upper or lower limit of the specification; an equipment-direction thickness defect scenario where the equipment-direction thickness of the material exceeds the upper or lower limit of the specification; and a side thickness defect scenario where the side thickness of the material exceeds the upper or lower limit of the specification.

[0015] According to an embodiment of the present invention, at least one instruction further includes instructions for: executing at least one of a total thickness defect scenario, an operator-direction thickness defect scenario, an equipment-direction thickness defect scenario, and a side thickness defect scenario; obtaining at least one of second user behavior information for dragging at least a portion of the 3D roller press and second user condition information for changing adjustment parameters of the equipment operating unit; correcting the 3D roller press based on at least one of the obtained second user behavior information and second user condition information; calculating values ​​corresponding to one or more quality parameters, said quality parameters being associated with the quality of the material generated by the corrected 3D roller press; correcting quality information associated with the quality of the material generated by the corrected 3D roller press based on the calculated values ​​corresponding to the one or more quality parameters and displaying it in the quality confirmation unit.

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

[0017] According to an embodiment of the present invention, a simulation method for a rolling mill for producing secondary batteries, executed by at least one processor, includes the following steps: an execution device action unit, an equipment operation unit, a main operation panel, and a quality confirmation unit. The device action unit includes a 3D rolling mill associated with the production of secondary batteries. The equipment operation unit includes multiple adjustment parameters for determining the operation of the 3D rolling mill. The main operation panel includes multiple buttons for driving the 3D rolling mill. The quality confirmation unit includes quality information associated with the quality of the material produced by the 3D rolling mill. The method further includes the following steps: obtaining at least one of first user behavior information obtained through the device action unit, button operation information obtained through the main operation panel, and first user condition information obtained through the equipment operation unit; determining the operation of the 3D rolling mill based on at least one of the obtained first user behavior information, button operation information, and first user condition information; and executing the operation of the 3D rolling mill based on the determined operation.

[0018] According to one embodiment of the present invention, it further includes the step of changing the adjustment parameters displayed on the device operation unit based on first user behavior information obtained through the device operation unit.

[0019] According to an embodiment of the present invention, the method further includes: executing a 3D roller press training scenario based on the operation process of the 3D roller press; executing at least one of the following steps: driving the 3D roller press with animation according to the 3D roller press training scenario, displaying a user behavior guidance image on the device action unit, displaying a button operation guidance image on the main operation panel, and displaying a user condition input guidance image on the equipment operation unit; obtaining at least one of first user behavior information, the button operation information, and first user condition information; and changing at least one of the device action unit, the equipment operation unit, and the main operation panel based on at least one of the obtained first user behavior information, button operation information, and first user condition information.

[0020] According to an embodiment of the present invention, the 3D roller press training scenario includes at least one of the following: work instruction confirmation training steps, edge position control (EPC) adjustment training steps, tension adjustment training steps, roll gap adjustment training steps, back pressure adjustment training steps, and quality confirmation training steps.

[0021] According to one embodiment of the present invention, the method further includes: determining one or more quality parameters for determining the quality of the material generated by the 3D roller press; calculating values ​​corresponding to the determined one or more quality parameters based on the executed operation of the 3D roller press during the operation of the 3D roller press; and generating quality information associated with the quality of the material generated by the 3D roller press based on the calculated values ​​corresponding to the one or more quality parameters and displaying it in the quality confirmation unit.

[0022] According to one embodiment of the present invention, the method further includes: determining one or more case training scenarios among a plurality of case training scenarios associated with the quality of the material generated by the 3D roller press; and changing at least one of the operation of the 3D roller press and quality information associated with the quality of the material based on the determined one or more case training scenarios.

[0023] According to an embodiment of the present invention, the case training scenarios include at least one of the following: a total thickness defect scenario where the total thickness of the material exceeds the upper or lower limit of the specification; an operator-direction thickness defect scenario where the thickness of the material in the operator direction exceeds the upper or lower limit of the specification; an equipment-direction thickness defect scenario where the thickness of the material in the equipment direction exceeds the upper or lower limit of the specification; and a side thickness defect scenario where the side thickness of the material exceeds the upper or lower limit of the specification.

[0024] According to an embodiment of the present invention, the method further includes: the steps of performing at least one of a total thickness defect scenario, an operator-direction thickness defect scenario, an equipment-direction thickness defect scenario, and a side thickness defect scenario; the steps of obtaining at least one of second user behavior information for dragging at least a portion of the 3D roller press and second user condition information for changing adjustment parameters of the equipment operating unit; the steps of correcting the 3D roller press based on at least one of the obtained second user behavior information and second user condition information; the steps of calculating values ​​corresponding to one or more quality parameters, said quality parameters being associated with the quality of the material generated by the corrected 3D roller press; and the steps of correcting quality information associated with the quality of the material generated by the corrected 3D roller press and displaying it in the quality confirmation unit based on the calculated values ​​corresponding to the one or more quality parameters.

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

[0026] The present invention provides a computer program stored in a computer-readable medium, wherein the computer program is used to perform the above-described method according to an embodiment of the present invention in a computer.

[0027] The effects of the invention

[0028] In various embodiments of the present invention, users performing secondary battery production can undergo training related to the operation of the secondary battery production equipment and the response methods when malfunctions occur through a simulation device before engaging in business. By training users in this way, losses caused by malfunctions can be significantly reduced, thereby effectively improving the efficiency of secondary battery production operations.

[0029] In various embodiments of the present invention, adverse scenarios are generated based on error information in the actual device, thereby enabling the simulation device to effectively generate training content optimized for the actual working environment.

[0030] In various embodiments of the present invention, the simulation device can generate adverse scenarios with a variety of values ​​associated with malfunctions in a secondary battery production device and provide them to the user, thereby enabling the user not only to resolve malfunctions that may occur in the actual device, but also to effectively learn the corresponding solutions for each situation.

[0031] In various embodiments of the present invention, users can easily learn the operation method of a secondary battery production device by performing simulations in different steps according to their operational proficiency.

[0032] In various embodiments of the present invention, users can easily identify and address poorly trained scenarios, thereby enabling focused training only on poorly trained scenarios with low proficiency.

[0033] In various embodiments of the present invention, users can train using adverse scenarios generated based on erroneous operations that occur in real-world work environments, thereby effectively improving their ability to respond to adverse situations.

[0034] The effects of the present invention are not limited to those mentioned above. Those skilled in the art to which this invention pertains ("Skilled Persons") can clearly understand other effects not mentioned from the description of the claims. Attached Figure Description

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

[0036] Figure 1 This is a diagram illustrating an example of a user using a simulation device according to an embodiment of the present invention.

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

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

[0039] Figure 4 This is a diagram illustrating an example of a display screen shown or output by the device's operating section according to an embodiment of the present invention.

[0040] Figure 5 This is a diagram illustrating an example of a display screen shown or output in the device's operating section according to another embodiment of the present invention.

[0041] Figure 6 This is a diagram illustrating an example of a display screen shown or output in the device's operating section according to yet another embodiment of the present invention.

[0042] Figure 7 This is a diagram illustrating an example of a display screen shown or output in the operating section of a device associated with a 3D roller press according to an embodiment of the present invention.

[0043] Figure 8 The figure illustrates an example of a display screen shown or output on the main operation panel associated with a 3D roller press according to an embodiment of the present invention.

[0044] Figure 9 This figure illustrates an example of a display screen shown or output in a quality verification unit associated with a 3D roller press according to an embodiment of the present invention.

[0045] Figure 10 The figure illustrates an example of a scenario where a total thickness defect occurs according to an embodiment of the present invention.

[0046] Figure 11 The figure illustrates an example of a scenario where thickness defects occur in the operator direction (OS direction) according to an embodiment of the present invention.

[0047] Figure 12 The figure illustrates an example of a scenario where a thickness defect occurs in the device direction (DS direction) according to an embodiment of the present invention.

[0048] Figure 13 The figure illustrates an example of a scenario where a side thickness defect occurs according to an embodiment of the present invention.

[0049] Figure 14 The figure illustrates an example of generating an undesirable scene according to an embodiment of the present invention.

[0050] Figure 15 The figure illustrates an example of generating operational capability information and test results according to an embodiment of the present invention.

[0051] Figure 16 The figure illustrates an example of a simulation method for producing secondary batteries according to an embodiment of the present invention.

[0052] Figure 17 The figure illustrates an example of a simulation method for a roller press used in the production of secondary batteries according to an embodiment of the present invention.

[0053] Figure 18 A diagram illustrating an example of a test result calculation method according to an embodiment of the present invention.

[0054] Figure 19 The figure illustrates an example of an adverse scene generation method according to an embodiment of the present invention.

[0055] Figure 20 An exemplary computing device is shown for performing the methods and / or embodiments described above.

[0056] Explanation of reference numerals in the attached figures

[0057] 100: Simulation device

[0058] 110: User

[0059] 120: Equipment Operation Department

[0060] 130: Main Control Panel

[0061] 140: Device Action Section

[0062] 150: Quality Assurance Department Detailed Implementation

[0063] Hereinafter, specific embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, if there is any concern that the following description may unnecessarily obscure the essence of the present invention, specific descriptions of known functions or configurations will be omitted.

[0064] In the accompanying drawings, the same or corresponding constituent elements are given the same reference numerals. Furthermore, in the following description of embodiments, repeated descriptions of the same or corresponding constituent elements may be omitted. However, even if the description of a constituent element is omitted, it does not mean that such a constituent element is not included in a particular embodiment.

[0065] The following detailed description of embodiments with reference to the accompanying drawings will make the advantages, features, and methods of achieving these advantages and features of the present invention more apparent. However, the present invention is not limited to the embodiments disclosed below and can be implemented in a variety of different ways. These embodiments are only intended to enable those skilled in the art to fully understand the scope of the present invention.

[0066] The terminology used in this specification is briefly explained, and the disclosed embodiments are described in detail. The terminology used in this specification has been chosen as much as possible to reflect both its function in this invention and its widespread use; however, this may vary depending on the intent of those skilled in the art, precedents, or the emergence of new technologies. Furthermore, in certain cases, terms arbitrarily chosen by the applicant may be used, in which case their meanings will be described in detail in the relevant description section of the invention. Therefore, the terminology used in this invention is not simply the name of a term, but should be defined based on its meaning and its content within the overall scope of this invention.

[0067] In this specification, a singular expression includes a plural expression unless explicitly specified in the context. Conversely, a plural expression includes a singular expression unless explicitly specified in the context. Throughout the specification, when it is stated that a part includes a certain constituent element, this means that other constituent elements are included, and are not excluded, unless specifically stated otherwise.

[0068] In this invention, terms such as "comprising" or "including" may indicate the presence of features, steps, actions, elements and / or constituent elements, but do not exclude the addition of other functions, steps, actions, elements, constituent elements and / or combinations thereof.

[0069] In this invention, when referring to a specific constituent element being "combined," "linked," "associated," or "reacted" with any other constituent element, the specific constituent element may be directly combined, linked, and / or associated with or reacted with other constituent elements, but is not limited thereto. For example, there may be more than one intermediate constituent element between the specific constituent element and other constituent elements. Furthermore, in this invention, "and / or" may include a combination of each or at least a portion of each of the more than one listed items.

[0070] In this invention, terms such as "first" and "second" are used to distinguish specific constituent elements from other constituent elements, and the constituent elements are not limited by such terms. For example, a "first" constituent element can be used to refer to an element with the same or similar form as a "second" constituent element.

[0071] In this invention, a "secondary battery" can refer to a battery made using materials that can undergo repeated redox processes between current and matter. For example, to produce a secondary battery, processes such as mixing, coating, rolling, slitting, notching and drying, lamination, folding and stacking, encapsulation, charging and discharging, degassing, and characteristic testing can be performed. In this case, separate production equipment (devices) can be used to perform each process. Each piece of production equipment can be operated by adjusting parameters and setting values ​​that are set or changed by the user.

[0072] In this invention, "user" can refer to an operator who performs the production of secondary batteries and runs the secondary battery production equipment, and may include users who are trained through a simulation device of the secondary battery production equipment. Furthermore, "user account" is an ID generated or assigned to each user in a manner that enables the use of such a simulation device. Users can log in to the simulation device using their user account and perform simulations, but are not limited to this.

[0073] In this invention, "equipment operation unit", "device operation unit" and "quality verification unit" are software programs included in the simulator device or displayed on the input / output device and / or input / output device associated with the simulator device. They can refer to devices and / or programs used to output images or videos of 3D model devices, or to receive various inputs from users and transmit them to the simulator device.

[0074] In this invention, the "3D model device" serves as a virtual device for realizing actual secondary battery production equipment. It can perform actions by executing, modifying, and / or correcting images, videos, animations, etc., of the virtual device based on user input information (e.g., user input information and / or user behavior information and / or button operation information). That is, the "actions of the 3D model device" can include the images, videos, animations, etc., of the virtual device being executed, modified, and / or corrected. For example, the 3D model device can include devices for performing mixing, coating, rolling pressing, slitting, notching and drying, lamination, folding and stacking, encapsulation, charging and discharging, degassing, characteristic detection, etc. Additionally or alternatively, the 3D model device can be implemented as a 2D model device. In other words, in this invention, the 3D model device is not limited to a three-dimensional model but can include a two-dimensional model. Therefore, the terms 3D model device can include 2D model device, animation model device, virtual model device, etc.

[0075] In this invention, "user condition information" can be user input including at least some conditions and / or values ​​for setting or changing adjustment parameters, or information generated based on the user input by any predetermined algorithm.

[0076] In this invention, "user behavior information" can be user input such as touch input, drag input, pinch input, rotation input, etc., performed in at least a portion of the 3D model device, or information generated by any predetermined algorithm based on the user input.

[0077] In this invention, a "defect scenario" can be a scenario that includes values, conditions, etc., used to change the operation of the 3D model device to a range of malfunction or to change the quality information of a substance determined by the operation of the 3D model device to a defective range. For example, if a defect scenario occurs during the operation of the simulation device, the operation and quality information of the 3D model device can be changed based on the defect scenario. Furthermore, if the operation and quality information of the 3D model device changed due to the defect scenario are corrected to the normal range, it can be determined that the defect scenario has been resolved.

[0078] In this invention, a "training scenario" can include scenarios for operating secondary battery production equipment. For example, when the secondary battery production equipment is a roll press, the training scenario can include training steps for confirming work instructions, edge position control (EPC) adjustment, tension adjustment, roll gap adjustment, back pressure adjustment, and quality confirmation. The training scenario can also include defective scenarios.

[0079] In this invention, the "mixing process" can be the process of mixing active materials, binders, and other additives with a solvent to prepare a slurry. For example, the user can determine or adjust the proportions of active materials, conductive materials, additives, binders, etc., to prepare a slurry of a specific quality. Furthermore, in this invention, the "coating process" can be the process of applying the slurry onto a foil in a predetermined amount and shape. For example, the user can determine or adjust the die, slurry temperature, etc., to perform coating with a specific quality in terms of amount and shape.

[0080] In this invention, the "rolling process" can be a process in which the electrode to be coated is passed between two rotating upper and lower rollers and pressed to a predetermined thickness. For example, the user can determine or adjust the spacing between the rollers to increase electrode density and maximize battery capacity through the rolling process. Furthermore, in this invention, the "cutting process" can be a process in which the electrode is passed between two rotating upper and lower blades to cut the electrode with a constant width. For example, the user can determine or adjust various adjustment parameters to maintain a constant electrode width.

[0081] In this invention, the "grooving and drying process" can be a process of removing moisture after punching the electrode into a predetermined shape. For example, the user can determine or adjust the cutting height, length, etc., to perform punching to achieve a specific quality shape. Furthermore, in this invention, the "lamination process" can be a process of sealing and cutting the separation membrane. For example, the user can determine or adjust the values ​​corresponding to the x-axis, the y-axis, etc., to perform cutting to achieve a specific quality.

[0082] In this invention, the "packaging process" can be the process of attaching leads and tape to the assembled battery cells and packaging them in an aluminum bag. The "degassing process" can be the process of removing gas from the battery cells to prevent internal air inflow and electrolyte leakage. Furthermore, in this invention, the "characteristic testing process" can be the process of using a measuring instrument to determine the thickness, weight, insulation voltage, and other characteristics of the battery cells before they leave the factory. With such processes, users can adjust various adjustment parameters, conditions, values, etc., or change the settings corresponding to the device to perform each process with specific quality within a normal range.

[0083] Figure 1 This diagram illustrates an example of a user 110 using a simulation device 100 according to an embodiment of the present invention. As shown, the simulation device 100, serving as a device for training secondary battery production operators (e.g., user 110), may include an equipment operation unit 120, a main operation panel 130, a device operation unit 140, a quality verification unit 150, etc. For example, user 110 can learn how to use secondary battery production equipment by operating the simulation device 100, which virtually (e.g., 2D, 3D) simulates the actual secondary battery production equipment, or train themselves on how to handle problems such as low product quality.

[0084] According to one embodiment, the device operation unit 120 may include multiple adjustment parameters for determining the operation of the 3D model device displayed on the device operation unit 140, and the user 110 may change at least some of the conditions in the adjustment parameters to execute, modify, and / or correct the operation of the 3D model device. That is, the operation of the 3D model device can be adaptively changed or corrected according to changes in the adjustment parameters input by the user 110.

[0085] The main control panel 130 may include a plurality of buttons for driving the 3D model device, which is displayed on the device action section 140. The user 100 performs, modifies, and / or corrects the actions of the 3D model device by operating at least some of the buttons.

[0086] The device actuation unit 140 may include a 3D model device associated with the production of secondary batteries. This 3D model device may include, but is not limited to, 3D models associated with equipment used in secondary battery production such as mixers, coaters, slitters, roll presses, lamination devices, and L&S (lamination & stack) devices; it may include 3D models of any other device used for secondary battery production. According to one embodiment, user 110 can operate or change the configuration of the 3D model device (at least a portion of the 3D model device) included in the device actuation unit 140 by performing touch, drag, or pinch inputs. In this case, user 110 can select or zoom in / out of any area of ​​the 3D model device by switching views, and operate or change the configuration of the 3D model device by performing touch inputs. While it is described as displaying a 3D model device associated with the production of secondary batteries in the device operation unit 140, it is not limited to this. A device associated with a specific process can be realized in 2D model device according to the production process of secondary batteries and displayed.

[0087] The quality verification unit 150 may include quality information associated with the quality of the material generated by the 3D modeling device. This quality information can be generated by performing calculations on quality parameters, etc., based on pre-determined benchmarks and / or algorithms. That is, the user 110 can verify the quality information of the material generated in response to changes in adjustment parameters or operation of buttons and / or the 3D modeling device through the quality verification unit 150. Alternatively or additionally, depending on the secondary battery production process, the quality verification unit 150 for a specific process may be included in the device operation unit 140. In this case, the quality information may be displayed in association with the 3D modeling device of the device operation unit 140, or verified by a specific action of the 3D modeling device, or additionally displayed on a portion of the screen of the 3D modeling device. For example, when a button for quality verification is selected on the device operation unit 140, quality information may be displayed or output. In other examples, quality information may be displayed or output through color changes, etc., of at least a portion of the 3D modeling device.

[0088] exist Figure 1Although the simulation device 100 is shown as including an equipment operation unit 120 and a quality verification unit 150, it is not limited to this. The number of equipment operation unit 120 and quality verification unit 150 can be determined according to the type of 3D model device associated with the simulation device 100. With the configuration described above, the user 110 who performs secondary battery production can perform training related to the operation method of the secondary battery production equipment and the response method when defects occur through the simulation device 100 before starting business. By training the user 110 in this way, losses caused by defects can be significantly reduced, and the efficiency of secondary battery production operations can be effectively improved.

[0089] Figure 2 This is a functional block diagram illustrating the internal configuration of a simulation device 100 according to an embodiment of the present invention. As shown, the simulation device 100 (e.g., at least one processor of the simulation device 100) may include a 3D model device action unit 210, a quality determination unit 220, a scene management unit 230, a test execution unit 240, a user management unit 250, etc., but is not limited thereto. The simulation device 100 can communicate with the device operation unit 120, the main operation panel 130, the device action unit 140, and the quality confirmation unit 150, and send and receive data and / or information associated with the 3D model device.

[0090] The 3D model device action unit 210 can execute, modify, and / or correct the actions of the 3D model device displayed on the device action unit 140 based on user operations. Simultaneously, it executes, modifies, and / or corrects the actions of the equipment operation unit 120 based on the execution, modification, and / or correction of the model device's actions. According to one embodiment, the 3D model device action unit 210 can obtain or receive user behavior information, button operation information, and / or user condition information using information input by a user (e.g., a secondary battery production operator). Then, the 3D model device action unit 210 can determine or modify the actions of the 3D model device using the obtained or received user behavior information, button operation information, and / or user condition information.

[0091] According to one embodiment, user behavior information is generated based on user input from at least a portion of the 3D model device included in the touch and / or drag device action unit 140, and may include information such as changes in the set values ​​of the 3D model device based on user input. For example, when the 3D model device is a roller press for secondary battery production, the user can adjust the EPC by dragging the EPC control dial of the roller press, adjust the roll gap by dragging the main roller, and zoom in or out of a specific area of ​​the roller press by touching it. In this case, user behavior information based on the EPC control dial, the main roller, the specific area, etc., can be generated.

[0092] According to one embodiment, the user condition information is generated based on user input that changes the conditions and / or values ​​of at least a portion of the multiple adjustment parameters included in the equipment operation unit 120. This information may include information related to the amount of change in the condition values ​​used to determine the operation of the 3D model device based on the user input. For example, if the 3D model device is a roller press for producing secondary batteries, the user can change the roll gap parameters, back pressure parameters, etc., to specific values ​​through the equipment operation unit 120. In this case, user condition information based on the changed roll gap parameter and back pressure parameter values ​​can be generated.

[0093] According to one embodiment, the button operation information is generated based on user input from touching at least a portion of the buttons included in the main operation panel 130, and may include information for driving the 3D model device based on user input. For example, when the 3D model device is a rolling mill device for producing secondary batteries, during rolling mill operation preparation training, the user can touch specific buttons on the main operation panel 130, and in such cases, touch-based button operation information can be generated.

[0094] As described above, when the 3D modeling device is operated based on user condition information, button operation information, and / or user behavior information, the quality determination unit 220 can determine or generate quality information related to the quality of the substance generated by the operation of the 3D modeling device. That is, when the 3D modeling device is operating (in the case of executing animations, videos, etc., of the 3D modeling device operating), quality information can be determined or generated in different ways based on the setting values, condition values, etc., of the 3D modeling device. In other words, the user can change or adjust the quality of the substance generated by the 3D modeling device by changing adjustment parameters or setting at least a portion of the 3D modeling device through touch input or other means.

[0095] According to one embodiment, the quality determination unit 220 can determine or extract one or more quality parameters for determining the quality of a substance generated by a 3D modeling device, and during the execution of the operation of the 3D modeling device, can calculate values ​​corresponding to each of the one or more quality parameters determined based on the executed operation of the 3D modeling device. The values ​​corresponding to the quality parameters can be calculated using any pre-determined algorithm. Furthermore, the quality determination unit 220 can generate quality information associated with the quality of the substance generated by the 3D modeling device based on the calculated values ​​corresponding to each of the one or more quality parameters. For example, when the 3D modeling device is a roller press for producing secondary batteries, if the user adjusts the roll gap parameters and / or back pressure parameters, a value corresponding to the thickness of the substance (at least one of total thickness, equipment direction thickness, operator direction thickness, and side thickness) can be calculated. In this case, the quality determination unit 220 can generate or output quality information including the calculated thickness.

[0096] According to one embodiment, during or before the operation of the 3D model device, an undesirable scenario associated with the malfunction of the 3D model device may occur. As described above, in the event of an undesirable scenario, at least a portion of the setting values, condition values, and corresponding quality information of the 3D model device will change to an abnormal range based on the undesirable scenario.

[0097] According to one embodiment, the scene management unit 230 can identify one or more defective scenarios from multiple defective scenarios associated with malfunctions of the 3D model device, and modify at least one of the actions of the 3D model device and quality information associated with the quality of the material based on the identified defective scenario. For example, when the 3D model device is a roller press device, the multiple defective scenarios may include total thickness defects, operator-direction thickness defects, equipment-direction thickness defects, and side thickness defects, etc. In this case, the scene management unit 230 can extract at least one of total thickness defects, operator-direction thickness defects, equipment-direction thickness defects, and side thickness defects to determine the defective scenario, and modify the adjustment parameters, actions, quality information, etc. of the 3D model device according to the extracted or determined defective scenario.

[0098] According to one embodiment, in the event of an adverse scenario, the user can change or adjust parameters or switch the settings of the 3D model device to resolve the adverse scenario. In this case, the scenario management unit 230 can receive at least one of user behavior information and user condition information for resolving one or more determined adverse scenarios, and correct the changed operation of the 3D model device based on at least one of the received user behavior information and user condition information. Furthermore, during the execution of the corrected operation of the 3D model device, the scenario management unit 230 can calculate values ​​corresponding to multiple quality parameters associated with the quality of the substance generated by the 3D model device based on the executed operation of the 3D model device, and correct the quality information associated with the quality of the substance generated by the corrected 3D model device based on the calculated values ​​corresponding to the multiple quality parameters.

[0099] Then, the scenario management unit 230 can use the corrected quality information to determine whether one or more defective scenarios have been resolved. For example, if the quality of the material is within the normal range of a predetermined specification, the scenario management unit 230 can determine that the defective scenario has been resolved. However, it is not limited to this; if the values ​​of each quality parameter included in the quality information correspond to a predetermined normal range or a specific value, the scenario management unit 230 can determine that the defective scenario has been resolved. Additionally or alternatively, if the values ​​obtained by providing each quality parameter to any algorithm are within a predetermined normal range, the scenario management unit 230 can also determine that the defective scenario has been resolved.

[0100] According to one embodiment, the setting values ​​and condition values ​​of the 3D model device, which are changed from adverse scenarios to the scope of misoperation, can be determined in advance according to different adverse scenarios, but are not limited to this. For example, adverse scenarios can be generated based on error information generated when a misoperation occurs in actual secondary battery production equipment. That is, when a misoperation occurs in an external device (e.g., actual secondary battery production equipment) associated with the 3D model device, the scenario management unit 230 can obtain error information associated with the misoperation and generate an adverse scenario associated with the misoperation of the 3D model device based on the obtained error information. For example, when a coating machine, which is a preprocessor to the rolling process, malfunctions, the scenario management unit 230 can obtain the values ​​of various adjustment parameters and the setting values ​​of the coating machine at the time of the misoperation as error information. The scenario management unit 230 can change the values ​​of various adjustment parameters and the device setting values ​​obtained from the external device in this way to correspond to the 3D model device, thereby generating an adverse scenario. With such a configuration, by generating adverse scenarios based on error information in the actual device, the simulation device 100 can effectively generate training content most suitable for the working environment.

[0101] According to one embodiment, the test execution unit 240 can use corrected quality information to determine whether one or more defective scenarios have been resolved. If one or more defective scenarios are resolved, the test execution unit 240 can calculate the processing time, loss value, etc., of one or more defective scenarios during their processing. For example, the loss value may include material loss value, etc., and is calculated using a pre-determined arbitrary algorithm based on the user's response time, user input value, etc. Furthermore, the test execution unit 240 can generate operational capability information for the 3D model device for a user account based on the calculated processing time and loss value. Here, the user account may refer to the account of the operator using the simulation device 100, and the operational capability information, as information representing the user's work proficiency, may include work speed, target value proximity, evaluation score, etc. Moreover, if the user resolves all pre-determined types of defective scenarios, the test execution unit 240 can determine whether the user's simulation training has passed based on the operational capability information for each defective scenario.

[0102] User management unit 250 can perform management tasks such as logging in, modifying, and deleting user accounts associated with users utilizing simulation device 100. According to one embodiment, a user can use their logged-in user account to use simulation device 100. In this case, user management unit 250 can store and manage information such as the resolution status of each defective scenario for each user account and the corresponding operational capabilities for each defective scenario in any database. Using the information stored by user management unit 250, scenario management unit 230 can extract information associated with a specific user account stored in the database and extract or determine at least one scenario from a plurality of defective scenarios based on the extracted information. For example, scenario management unit 230 can extract only defective scenarios where the operation speed is lower than the average operation speed based on information associated with the user account, and cause them to occur or provide them to the user, but it is not limited to this; defective scenarios can also be extracted or determined using any other arbitrary criteria or any combination of criteria.

[0103] exist Figure 2 Although the various functional configurations included in the analog device 100 are described in a differentiated manner, this is only to aid in understanding the invention; more than two functions can also be executed in a single computing device. Furthermore, in Figure 2Although the simulation device 100 is shown separately from the equipment operation unit 120, main operation panel 130, equipment operation unit 140, and quality verification unit 150, this is not a limitation. The equipment operation unit 120, main operation panel 130, equipment operation unit 140, and quality verification unit 150 may be included in the simulation device 100. With this configuration, the simulation device 100 can generate and provide users with adverse scenarios having multiple values ​​associated with malfunctions in secondary battery production equipment. This allows users to not only resolve potential malfunctions that may occur in actual equipment but also effectively learn corresponding solutions for each scenario.

[0104] Figure 3 This is a block diagram illustrating an example of the operation of a simulation device 100 according to an embodiment of the present invention. As shown in the figure, the simulation device ( Figure 1 Step 100 can be performed through a Human-Machine Interface (HMI) process, including steps 310, 320, 330, 340, and 350. In other words, users can train themselves on how to operate the secondary battery production equipment through steps 310, 320, 330, 340, and 350.

[0105] HMI guidance step 310 can be a step to learn the various types of adjustment parameters included in the equipment operation section, and the operation methods for these adjustment parameters. For example, a work instruction manual indicating the types of adjustment parameters and their operation methods can be displayed or output in the equipment operation section, device action section, etc. Furthermore, a portion of the screen can be illuminated or activated so that the user can perform the operation corresponding to the work instruction manual. In this case, the user can operate any adjustment parameter condition and / or value corresponding to the work instruction manual to train the user on how to use the equipment operation section. If the user touches any button or enters the correct value corresponding to any parameter within a pre-specified time according to the work instruction manual, the next step can be performed, or a button that allows progress to the next step (e.g., the NEXT button) can be displayed or activated.

[0106] Equipment guidance step 320 may describe the secondary battery production process or equipment steps. When the 3D model device is a roll forming device, it may include descriptions of the roll forming process, descriptions of the uncoiler and its components (chuck, sensors, EPC, etc.), descriptions of the rolls and their components (upper, lower, back pressure cylinder, roll cleaner, cooling, safety sensors, etc.), descriptions of the roll crown principle, descriptions of the principle and monitoring of the automatic thickness gauge, descriptions of the rewinder and its components (chuck, contact roll, etc.), descriptions of the manual thickness gauge, and descriptions of safety items.

[0107] The condition adjustment step 330 can be a step where the user learns how to set initial values ​​for the equipment operation section, device action section, and quality confirmation section before starting the secondary battery production unit. For example, a work instruction manual representing the initial values ​​for the equipment operation section, device action section, and quality confirmation section can be displayed or output in the equipment operation section and device action section. Furthermore, a portion of the screen can be illuminated or activated so that the user can perform the work corresponding to the work instruction manual. In this case, the user can learn how to set initial values ​​by confirming the settings (e.g., EPC, tension, roll gap, back pressure, etc.) of the 3D model device corresponding to the work instruction manual through touch input. When the user completes the initial value setting according to the work instruction manual, they can proceed to the next step, or a button for proceeding to the next step (e.g., a NEXT button) can be displayed and activated.

[0108] The condition adjustment step 330 can be a step based on the execution training scenario of the operation process of the secondary battery production unit. For example, in the case of a roller press, it can be a process of confirming the work instruction, adjusting EPC, adjusting tension, adjusting roll gap, adjusting back pressure, and training on quality confirmation. The 3D model device is driven according to the equipment's training scenario, and guidance images are displayed or output on the type of adjustment parameters, the values ​​of the adjustment parameters, the 3D model device, and buttons, etc., for operations performed for confirmation and adjustment. Users can train the operation process of the secondary battery production unit based on the information displayed as described above.

[0109] Case training step 340 can be a step for users to learn how to identify defects that occur during the operation of a secondary battery production unit and how to take corrective measures. For example, in the case of a roller press, defects such as total thickness defects, operator-direction thickness defects, equipment-direction thickness defects, side thickness defects, and compound defects involving two or more thickness defects may occur. Along with the occurrence of the defect, the type of adjustment parameters required to resolve it, the values ​​of the adjustment parameters, and the settings of the 3D model unit can be displayed or output. Users can handle defects and train their defect resolution methods based on the information displayed in this way.

[0110] Case training step 340 allows users to repeatedly process or resolve multiple defect scenarios or combinations thereof associated with the secondary battery production equipment to familiarize themselves with defect resolution procedures. For example, a user can directly select one defect scenario from multiple scenarios for training, but is not limited to this; they can also train on defect scenarios arbitrarily determined by the simulator device. In this case, case training step 340 can display or output guidance information, including conditional and behavioral information, required to resolve each defect according to the defect scenario. Specifically, when the user operates specific adjustment parameters or changes the settings of the 3D model device, the actions of the 3D model device and the quality of the materials associated with the 3D model device can be changed in real time. The quality changes in this manner can be confirmed, and users can resolve defects and improve their proficiency in handling defects through repeated training.

[0111] Test step 350 can be a step to evaluate a user's operational ability by testing the user's process of resolving adverse scenarios. For example, when a user resolves various adverse scenarios, the user's operational ability can be measured or evaluated based on the time taken to resolve each adverse scenario, the loss value, etc. The user can confirm such operational ability and whether the test was passed, and then add more adverse scenarios that were not adequately learned or trained.

[0112] Although Figure 3 The diagram illustrates the sequential execution of each step, but is not limited to this; some steps may be omitted. Furthermore, the order of the steps can be changed, and they can be repeated. For example, case training step 340 can be re-executed after test step 350. With this configuration, users can easily learn the operation of a secondary battery production unit through simulations performed step-by-step according to their skill level.

[0113] Figure 4 This is a diagram illustrating an example of a display screen displayed or output by the device action unit 140 according to an embodiment of the present invention. As shown, the device action unit 140 can display or output text, images, videos, etc., including a small map 410, a 3D model device 420, a user guide 430, a next button 440, a work instruction book 450, and a toolbar 460, on the display screen. Figure 4 Although the small map 410, 3D model device 420, user guide 430, NEXT button 440, operation guide 450, toolbar 460, etc. are displayed in specific areas on the display screen, they are not limited to this. Text, images, videos, etc. can be displayed in any area of ​​the display screen, and can also be displayed in overlapping manner.

[0114] The minimap 410 roughly displays the entire rolling mill assembly used for producing secondary batteries, and uses rectangles to indicate the approximate locations of areas within the rolling mill assembly displayed on the 3D model assembly 420. If the equipment displayed on the 3D model assembly 420 changes, the position and size of the rectangles displayed on the minimap 410 can also be changed in real time. For example, the minimap can function as a location guide for the rolling mill assembly.

[0115] The 3D model device 420 can represent three-dimensional images and videos of secondary battery production equipment in 3D form. For example, the 3D model device 420 can perform actions based on user-inputted condition information and / or user behavior information.

[0116] User guidance 430 includes information needed to make the 3D model device 420 move, conditional information needed to resolve adverse scenarios, and behavioral information, which can be used to guide the user's next action. That is, the user can use user guidance 430 to train the simulation device on how to operate and how to deal with adverse scenarios, even if they do not know how the simulation device operates.

[0117] When the user guide 430, displayed in this manner, is used to determine the condition values, settings, etc. of the 3D model device, or to run the 3D model device 420, this step is completed, and the NEXT button 440 for proceeding to the next step can be activated. The user can select the activated NEXT button 440 by touch input or the like, and perform training corresponding to the next step.

[0118] The work instruction 450, as a document including the initial settings and condition values ​​of the 3D model device 420, can be predetermined or generated by any algorithm. For example, the simulation device can receive and provide the content of a work instruction used to run actual secondary battery production equipment, or it can calculate the initial settings and condition values ​​of the 3D model device 420 based on multiple input work instructions, thereby generating a new work instruction. When the 3D model device is a rolling mill device, the work instruction can include specification information, such as the positive / negative electrode to be produced, PJT name, version, tension (unwinder, unloader, rewinder), etc. The work instruction 450 can be continuously displayed on the device's operating section, or it can be displayed on the 3D model device in a pop-up format by user operation.

[0119] Toolbar 460 displays various tool icons for operating the 3D model device. When the 3D model device is a roller press, the tool icons may include work instructions, rulers, knives, tape, and non-woven fabric, etc. When the user selects the work instruction icon, as described above, a work instruction containing the specifications of the material produced by the 3D model device can be displayed in a pop-up format. The user can input adjustment parameters for the equipment operation unit based on the specifications recorded in the work instruction.

[0120] Figure 5 This diagram illustrates an example of a display screen displayed or output by the device operation unit 140 according to another embodiment of the present invention. As shown, the device operation unit 140 can display or output text, images, videos, etc., including multiple adverse scenes 510, 520, 530, etc., on the display screen. Figure 5 Although the first defective scene 510, the second defective scene 520, the third defective scene 530, etc. are shown in specific areas on the display screen, they are not limited to this. Text, images, videos, etc. can be displayed in any area of ​​the display screen.

[0121] According to one embodiment, each defect scenario can include the content and difficulty level of the defect scenario. For example, the first defect scenario 510 can be a total thickness defect with a difficulty level of 0, the second defect scenario 520 can be an OS thickness defect with a difficulty level of 0, and the third defect scenario 530 can be a composite defect with a difficulty level of 0. Users can select at least a portion of the multiple defect scenarios 510, 520, and 530 displayed on the screen by means of touch input or other methods, and perform training on the selected defect scenarios.

[0122] Alternatively or additionally, one of the multiple defective scenarios 510, 520, and 530 can be determined using a pre-specified algorithm. For example, the simulation device can determine defective scenarios or combinations of defective scenarios indicating low proficiency based on the user's account (or information associated with the user account) during training. The user's proficiency can be calculated or determined by the test results for each different defective scenario, but is not limited to this. With this configuration, the user can easily identify and address undertrained defective scenarios, allowing for focused training only on defective scenarios indicating low proficiency.

[0123] Figure 6 This is a diagram illustrating an example of a display screen displayed or output by the device action unit 140 according to another embodiment of the present invention. As shown, the device action unit 140 can display or output text, images, videos, etc., associated with guidance information 610, 620, 630 on the display screen. The guidance information 610, 620, 630 includes conditional information and behavioral information required to resolve each defect. Figure 6Although the information is displayed in specific areas of the display screen, such as the first guidance information 610, the second guidance information 620, and the third guidance information 630, it is not limited to this. Text, images, videos, etc. can be displayed in any area of ​​the display screen.

[0124] According to one embodiment, guidance information 610, 620, and 630 may include defects, corrective measures, and changes in quality based on variations in the settings and / or condition values ​​of the 3D model device. For example, first guidance information 610 may include corrective measures and changes in quality associated with total thickness defects; second guidance information 620 may include corrective measures and changes in quality associated with OS thickness defects; and third guidance information 630 may include corrective measures and changes in quality associated with composite defects. Users can identify defects and corresponding corrective measures, adjust the conditions and / or values ​​of parameters, or perform training by adjusting the settings of the 3D model device to generate a substance with quality within the normal range.

[0125] exist Figure 6 Although it is described as displaying or outputting guidance information 610, 620, 630 on the device action unit 140, it is not limited to this, and the guidance information can be displayed on an additional display device.

[0126] Figure 7 This diagram illustrates an example of a display screen in an equipment operation unit 120 associated with a 3D roller press, according to an embodiment of the present invention. According to one embodiment, a roller press can refer to a device that presses electrodes coated during a coating process for secondary battery production between two rotating upper and lower rollers to a specified thickness. The roller press may include multiple rolls, etc. In the rolling process performed by such a roller press, it is important to uniformly roll to the thickness specified in the work instruction to produce a superior material. The equipment operation unit 120 may include multiple areas 710 for inputting text such as material information (electrode type, version information, etc.) and specification information (roll gap, back pressure, etc.) recorded in the work instruction, and multiple areas 720 for displaying images of buttons that need to be touched when operating the roller press. During the operation of the simulation device of the present invention, multiple overlapping screens with separate layouts may be additionally displayed in the equipment operation unit 120. When a user clicks a button area, the color of the corresponding button may change or a new screen may pop up and be displayed.

[0127] According to one embodiment, multiple adjustment parameters used to determine the operation of the 3D roller press device may include EPC, tension, roll gap, back pressure, etc. Here, EPC can be a parameter used to control the position of the rollers, tension can be a parameter used to control the tension of the material passing through the rollers, roll gap can be a parameter used to adjust the interval between the upper and lower rollers, and back pressure can be a parameter used to adjust the pressure applied by the rollers to the material.

[0128] Figure 8 This figure illustrates an example of a display screen on a main operation panel 130 associated with a 3D roller press, according to an embodiment of the present invention. According to one embodiment, the main operation panel 130 for operating the roller press may include a plurality of button images 810. Each of these button images may display a button name. When a user touches a button image with any button name, during the touch, the color, shape, or image of a portion of the button image changes, allowing the user to recognize that the button's state is changing. When the user touches a button image for a preset time or longer, the color, shape, or image of the corresponding button changes, allowing the user to recognize that the button's state has changed. Simultaneously, the main operation panel 130 may include one or more lever images. The lever image displays a lever name nearby, and when the user drags the lever image, the lever may rotate in the direction the user is dragging.

[0129] Figure 9 This figure illustrates an example of a display screen in a quality verification unit 150 associated with a 3D roller press, according to an embodiment of the present invention. According to one embodiment, quality information associated with the quality of a material produced by the 3D roller press can be displayed or output in the quality verification unit 150. The quality verification unit 150 may include a graph area 910 that displays quality information associated with the quality of the material (e.g., thickness information measured at multiple locations of the produced material) as a graph, and a table area 920 that displays quality information associated with the quality of the corresponding material as numerical values.

[0130] For example, simulator devices ( Figure 1The 100 in the model can determine one or more quality parameters used to determine the quality of the material produced by the 3D roller press. During the operation of the 3D roller press, values ​​corresponding to the determined quality parameters can be calculated based on the operation of the 3D roller press. Then, the simulation device can generate and output quality information related to the quality of the material produced by the 3D roller press based on the calculated values ​​corresponding to the one or more quality parameters. In the example shown, the quality confirmation unit can include quality information (or quality parameters) for confirming various thickness defects, etc. Such thickness defects can be determined by images, videos, animations, etc. of the 3D roller press displayed on the device operation unit 140, or by setting values ​​of adjustment parameters displayed on the device operation unit 120. At the same time, when the quality parameters of the quality confirmation unit 150 are changed, the images, videos, animations, etc. of the 3D roller press in the device operation unit 140 can be changed accordingly, or the adjustment parameter values ​​displayed on the device operation unit 120 can also be changed.

[0131] According to one embodiment, when the user changes the roll gap setting or tension setting of the equipment operation unit 120, the quality parameter values ​​of the quality confirmation unit 150 can be changed or adjusted. The user can confirm the real-time changes in the operation and quality information of the 3D roller press by adjusting multiple adjustment parameters or by touch input or drag input.

[0132] Figure 10 A diagram illustrating an example of a scenario where a total thickness defect occurs according to an embodiment of the present invention. Simulation device ( Figure 1 The method (100) identifies one or more defective scenarios among multiple defective scenarios associated with malfunctions of the 3D roller press, and modifies at least one of the following based on the identified defective scenario: the operation of the 3D roller press and quality information associated with the quality of the material. These multiple defective scenarios may include a total thickness defective scenario. For example, a total thickness defective scenario could refer to a scenario where the total thickness of the material exceeds the upper or lower limit of the specification set in the work instruction.

[0133] According to one embodiment, when one or more defect scenarios are identified, including a total thickness defect scenario, the simulation device can change the upper roll 1010 and / or lower roll 1020 of the 3D roller press included in the device action unit 140 to a predetermined area (e.g., an image, video, animation, etc. representing points, lines, or surfaces of the upper or lower roll). That is, when a total thickness defect scenario occurs, the roll gap between the upper roll 1010 and the lower roll 1020 can be changed by moving the image of the lower roll 1020 to a predetermined area 1030 using animation. When the roll gap between the upper and lower rolls is changed in this way, the thickness of the material 1040 between the upper and lower rolls can be changed.

[0134] When such a total thickness defect occurs, the user can address the defect by touching or dragging a specific area of ​​the 3D roller press displayed on the device's operating unit 140. Simultaneously, the user can also address the defect by changing the adjustment parameters (e.g., total roll gap) associated with the total thickness adjustment in the equipment operation unit 120. In other words, the simulation device receives user behavior information (such as the user touching or dragging at least a portion of the area corresponding to the lower roller of the 3D roller press) or user condition information (such as changing the setting value of the adjustment parameter corresponding to the total roll gap) from the equipment operation unit, thereby correcting the defective material to normal.

[0135] Then, the simulation device can determine whether the total thickness defect scenario has been resolved based on at least a portion of the calibrated material. For example, when user behavior information is generated based on touch input, drag input, etc., to a predetermined area in a predetermined sequence, the simulation device can determine that the total thickness defect scenario has been resolved. Simultaneously, when user condition information changes to a predetermined value, the simulation device can determine that the total thickness defect scenario has been resolved. When the defect scenario is determined to be resolved, the predetermined area representing the total thickness defect can be removed from the image, video, and / or animation of the 3D roller press, and the quality parameters of the corresponding material displayed in the quality verification unit 150 can be corrected and changed to normal.

[0136] exist Figure 10 The image, video, and / or animation representing a portion of the 3D roller press are shown on the device's motion unit 140, but this is not the only possibility. The device's motion unit 140 may include images, videos, and / or animations of the same shape as the actual roller press. With this configuration, users can effectively train in advance on how to handle potential problems during the roller pressing process, and the simulation device can effectively determine whether a problem has been resolved based on the input or received user actions.

[0137] Figure 11 This diagram illustrates an example of a scenario where thickness defects occur in the operator's direction (OS direction) according to an embodiment of the present invention. Simulation device ( Figure 1 The method (100) identifies one or more defective scenarios among multiple defective scenarios associated with malfunctions of the 3D roller press, and modifies at least one of the following based on the identified defective scenario: the operation of the 3D roller press and quality information associated with the quality of the material. These multiple defective scenarios may include operator-direction (OS) thickness defects. For example, an operator-direction thickness defective scenario could refer to a scenario where the thickness of the material in the operator-direction exceeds the upper limit or lower limit of the specification set in the work instruction.

[0138] According to one embodiment, when one or more defective scenarios include a thickness defect scenario in the operator direction, the simulation device can change the upper roll 1110 and / or lower roll 1120 of the 3D roller press included in the device action unit 140 to a predetermined area (e.g., an image, video, animation, etc. representing points, lines, or surfaces of the upper or lower rolls). That is, when a thickness defect scenario in the operator direction occurs, the roll gap between the upper roll 1110 and the lower roll 1120 in the operator direction can be changed by moving the image of the lower roll 1120 to a predetermined area 1130 using animation. When the roll gap in the operator direction between the upper and lower rolls is changed in this way, the thickness of the material 1140 passing between the upper and lower rolls in the operator direction can be changed.

[0139] When a scenario of undesirable thickness in the operator's direction occurs, the user can address the issue by touching or dragging a specific area of ​​the 3D roller press displayed on the device's action unit 140. Simultaneously, the user can also address the undesirable thickness in the operator's direction by changing adjustment parameters (e.g., operator's direction roller gap) associated with the operator's direction thickness adjustment in the equipment operation unit 120. In other words, the simulation device receives user behavior information (such as the user touching or dragging at least a portion of the area corresponding to the lower roller of the 3D roller press) or user condition information (such as changing the setting value of the adjustment parameter corresponding to the operator's direction roller gap) from the equipment operation unit, thereby correcting the defective material to normal.

[0140] Then, the simulation device can determine whether the operator orientation thickness defect scenario has been resolved based on at least a portion of the calibrated material. For example, when user behavior information is generated based on touch input, drag input, etc., to a predetermined area in a predetermined sequence, the simulation device can determine that the operator orientation thickness defect scenario has been resolved. Simultaneously, when user condition information changes to a predetermined value, the simulation device can determine that the operator orientation thickness defect scenario has been resolved. When the defect scenario is determined to be resolved, the predetermined area representing the operator orientation thickness defect can be removed from the image, video, and / or animation of the 3D roller press, and the quality parameters of the corresponding material displayed in the quality verification unit 150 can be corrected and changed to normal.

[0141] exist Figure 11 The image, video, and / or animation representing a portion of the 3D roller press are shown on the device's motion unit 140, but this is not the only possibility. The device's motion unit 140 may include images, videos, and / or animations of the same shape as the actual roller press. With this configuration, users can effectively train in advance on how to handle potential problems during the roller pressing process, and the simulation device can effectively determine whether a problem has been resolved based on the input or received user actions.

[0142] Figure 12 This diagram illustrates an example of a scenario where a thickness defect occurs in the device direction (DS direction) according to an embodiment of the present invention. Simulation device ( Figure 1 The method (100) identifies one or more defective scenarios among multiple defective scenarios associated with malfunctions of the 3D roller press, and modifies at least one of the following based on the identified defective scenario: the operation of the 3D roller press and quality information associated with the quality of the material. These multiple defective scenarios may include equipment direction (DS direction) thickness defective scenarios. For example, an equipment direction thickness defective scenario could refer to a scenario where the thickness of the material in the equipment direction exceeds the upper limit or is less than the lower limit specified in the work instruction, thus exceeding the upper or lower limit of the specification.

[0143] According to one embodiment, when one or more defect scenarios are identified, including a thickness defect scenario in the equipment direction, the simulation device can change the upper roll 1210 and / or lower roll 1220 of the 3D roller press included in the device actuation unit 140 to a predetermined area (e.g., an image, video, animation, etc. representing points, lines, or surfaces of the upper or lower rolls). That is, when a thickness defect scenario in the equipment direction occurs, the roll gap between the upper roll 1210 and the lower roll 1220 in the equipment direction can be changed by moving the image of the lower roll 1220 to a predetermined area 1230 using animation. When the roll gap in the equipment direction between the upper and lower rolls is changed in this way, the thickness of the material 1240 passing between the upper and lower rolls in the equipment direction can be changed.

[0144] When a defective thickness occurs in the equipment orientation, the user can address the defect by touching or dragging a specific area of ​​the 3D roller press displayed on the device operation unit 140. Simultaneously, the user can also address the defective thickness by changing the adjustment parameters (e.g., the equipment orientation roll gap) associated with the equipment orientation thickness adjustment in the device operation unit 120. In other words, the simulation device receives user behavior information (such as the user touching or dragging at least a portion of the area corresponding to the lower roller of the 3D roller press) or user condition information (such as the user changing the setting value of the adjustment parameter corresponding to the equipment orientation roll gap) from the device operation unit, thereby correcting the defective material to normal.

[0145] Then, the simulation device can determine whether the equipment orientation thickness defect scenario has been resolved based on at least a portion of the calibrated material. For example, when user behavior information is generated based on touch input, drag input, etc., to a predetermined area in a predetermined sequence, the simulation device can determine that the equipment orientation thickness defect scenario has been resolved. Similarly, when user condition information changes to a predetermined value, the simulation device can determine that the equipment orientation thickness defect scenario has been resolved. When the defect scenario is determined to be resolved, the predetermined area representing the equipment orientation thickness defect can be removed from the image, video, and / or animation of the 3D roller press, and the quality parameters of the corresponding material displayed in the quality verification unit 150 can be corrected and changed to normal.

[0146] exist Figure 12 The image, video, and / or animation representing a portion of the 3D roller press are shown on the device's motion unit 140, but this is not the only possibility. The device's motion unit 140 may include images, videos, and / or animations of the same shape as the actual roller press. With this configuration, users can effectively train in advance on how to handle potential problems during the roller pressing process, and the simulation device can effectively determine whether a problem has been resolved based on the input or received user actions.

[0147] Figure 13The figure illustrates an example of a scenario where a side thickness defect occurs according to an embodiment of the present invention. Simulation device ( Figure 1 The method (100) identifies one or more defective scenarios among multiple defective scenarios associated with malfunctions of the 3D roller press, and modifies at least one of the following based on the identified defective scenario: the operation of the 3D roller press and quality information associated with the quality of the material. These multiple defective scenarios may include side thickness defective scenarios. For example, a side thickness defective scenario may refer to a scenario where the side thickness of the material exceeds the upper limit or lower limit of the specification set in the work instruction.

[0148] According to one embodiment, when one or more defect scenarios are identified, including a side thickness defect scenario, the simulation device can change the upper roll 1310 and / or lower roll 1320 of the 3D roller press included in the device actuation unit 140 to a predetermined area (e.g., an image, video, animation, etc. representing points, lines, or surfaces of the upper or lower roll). That is, when a side thickness defect scenario occurs, the roll gap between the sides of the upper roll 1210 and the lower roll 1220 can be changed by moving the side image of the lower roll 1320 to a predetermined area 1330 with animation. When the side roll gap between the upper and lower rolls is changed in this way, the side thickness of the material 1340 passing between the upper and lower rolls can be changed.

[0149] When a side thickness defect occurs, the user can address it by touching or dragging a specific area of ​​the 3D roller press displayed on the device's operating unit 140. Simultaneously, the user can also address the side thickness defect by changing adjustment parameters (e.g., back pressure) associated with the side thickness adjustment in the device operation unit 120. In other words, the simulation device receives user behavior information (such as the user touching or dragging at least a portion of the area corresponding to the lower roller of the 3D roller press) or user condition information (such as changing the setting value of the adjustment parameter corresponding to the back pressure) from the device operation unit, thereby correcting a defective material to normal.

[0150] Then, the simulation device can determine whether the side thickness defect scenario has been resolved based on at least a portion of the calibrated material. For example, when user behavior information is generated based on touch input, drag input, etc., to a predetermined area in a predetermined sequence, the simulation device can determine that the side thickness defect scenario has been resolved. Simultaneously, when user condition information changes to a predetermined value, the simulation device can determine that the side thickness defect scenario has been resolved. When the defect scenario is determined to be resolved, the predetermined area representing the side thickness defect can be removed from the image, video, and / or animation of the 3D roller press, and the quality parameters of the corresponding material displayed in the quality verification unit 150 can be corrected and changed to normal.

[0151] exist Figure 13 The image, video, and / or animation representing a portion of the 3D roller press are shown on the device's motion unit 140, but this is not the only possibility. The device's motion unit 140 may include images, videos, and / or animations of the same shape as the actual roller press. With this configuration, users can effectively train in advance on how to handle potential problems during the roller pressing process, and the simulation device can effectively determine whether a problem has been resolved based on the input or received user actions.

[0152] Figures 10 to 13 The document has already described scenarios with poor total thickness, thickness in the operator's direction, thickness in the equipment direction, and thickness on the side, but multiple scenarios may also include other defects that may occur in the roller press.

[0153] at the same time, Figures 10 to 13 The document has already described how to drive a single defect scenario in the total thickness defect scenario, operator direction thickness scenario, equipment direction thickness scenario, and side thickness defect scenario, but it is not limited to this and two or more defect scenarios can occur in combination.

[0154] Figure 14 The figure illustrates an example of generating a defective scenario 1422 according to an embodiment of the present invention. As shown, the simulation device 100 can communicate with external devices (e.g., secondary battery production equipment, etc.) 1410, a defective scenario database (DB) 1420, etc., and can receive and receive data and / or information required to generate the defective scenario 1422.

[0155] According to one embodiment, in the event of a malfunction in the external device 1410, the simulation device 100 can receive or obtain error information 1412 associated with the malfunction in the external device 1410. The error information 1412 may include operational information of the external device 1410 at the time of the malfunction and the amount of quality change of the substance generated in the external device 1410. In this case, the simulation device 100 can determine the values ​​of condition values, set values, and / or quality parameters of the 3D model device (e.g., a 3D roller press) to correspond to the error information 1412, and can generate a defective scenario 1422 having the determined values ​​of the condition values, set values, and / or quality parameters of the 3D model device. The defective scenario 1422 generated in this manner can be stored in a defective scenario DB 1420 and managed. For example, the simulation device 100 can use any algorithm and / or a machine learning model learned for generating defective scene 1422 to determine the values ​​of the condition values, set values ​​and / or quality information of the 3D model device so as to correspond to the error information 1412 and generate defective scene 1422.

[0156] According to one embodiment, the processor can convert the operation information of the external device 1410 into a first set of parameters associated with the action of the 3D model device, and convert the quality change of the substance generated by the external device 1310 into a second set of parameters associated with quality information related to the quality of the substance generated by the 3D model device. The processor can then use the converted first and second sets of parameters to determine the category of the malfunction occurring in the external device 1410, and generate an adverse scenario based on the determined category, the first set of parameters, and the second set of parameters.

[0157] exist Figure 14 Although described as generating a defective scenario in the event of a malfunction in external device 1410, this is not limited to this. For example, the defective scenario can be determined in advance by any user. In other examples, defective scenarios can also be generated by randomly determining setpoints, condition values, quality information, etc., associated with the 3D model device within a pre-determined range of anomalies. With such a configuration, users can train their system using defective scenarios generated based on malfunctions occurring in actual working environments, thereby effectively improving their ability to respond to defects.

[0158] Figure 15 This is a diagram illustrating an example of generating operational capability information 1530 and test results 1540 according to an embodiment of the present invention. As described above, in the event of an adverse scenario, the simulation device 100 can receive user condition information 1510, user behavior information 1520, etc. from the user, and determine whether the adverse scenario has been resolved based on the received user condition information 1510, user behavior information 1520, etc.

[0159] According to one embodiment, when a defective scenario is determined to be resolved, the simulation device 100 can calculate the duration and loss value of the defective scenario during its execution, and generate operational capability information 1530 for the 3D model device of the user account based on the calculated duration and loss value. In this case, test results 1540 can also be output along with the operational capability information 1530. For example, a user associated with this user account can perform tests for any defective scenario, and when all defective scenarios associated with a specific 3D model device are resolved according to a pre-specified benchmark, the simulation device 100 can determine that the user has passed the simulation test for the specific 3D model device.

[0160] Figure 16This is a diagram illustrating an example of a simulation method 1600 for producing secondary batteries according to an embodiment of the present invention. The simulation method 1600 for producing secondary batteries can be executed by a processor (e.g., at least one processor of a simulation device). As shown, the simulation method 1600 for producing secondary batteries can be started by the processor outputting a device operation unit, an equipment operation unit, and a quality verification unit. The device operation unit includes a 3D model device associated with the production of secondary batteries, the equipment operation unit includes multiple adjustment parameters for verifying the operation of the 3D model device, and the quality verification unit includes quality information associated with the quality of the material generated by the 3D model device (S1610).

[0161] The processor can obtain at least one of the first user behavior information obtained through the device action unit and the first user condition information obtained through the device operation unit (S1620). The first user condition information may include information associated with the value corresponding to at least one of the plurality of adjustment parameters.

[0162] The processor can determine the action of the 3D model device based on at least one of the obtained first user behavior information and first user condition information (S1630). Furthermore, the processor can execute the action of the 3D model device included in the device action unit based on the determined action (S1640). Upon receiving the first user behavior information, the processor can determine whether the received first user behavior information corresponds to a pre-determined action condition of the 3D model device, and if it determines that the first user behavior information corresponds to the pre-determined action condition of the 3D model device, allow the 3D model device to operate.

[0163] According to one embodiment, the processor can determine one or more quality parameters for determining the quality of a substance generated by a 3D modeling device, and during the execution of actions of the 3D modeling device, calculate values ​​corresponding to the determined one or more quality parameters based on the executed actions of the 3D modeling device. Furthermore, the processor can generate quality information associated with the quality of the substance generated by the 3D modeling device based on the calculated values ​​corresponding to the one or more quality parameters.

[0164] According to one embodiment, a processor can identify one or more defective scenarios associated with malfunctions of a 3D modeling device, and modify at least one of the following based on the identified defective scenario: the operation of the 3D modeling device and quality information associated with the quality of a substance. The processor can then receive at least one of second user behavior information and second user condition information for resolving the identified defective scenario, and correct the modified operation of the 3D modeling device based on the received second user behavior information and second user condition information. Furthermore, during the execution of the corrected operation of the 3D modeling device, the processor can calculate values ​​corresponding to multiple quality parameters associated with the quality of the substance generated by the 3D modeling device based on the executed operation of the 3D modeling device. In this case, the processor can correct the quality information associated with the quality of the substance generated by the corrected 3D modeling device based on the calculated values ​​corresponding to the multiple quality parameters, and use the corrected quality information to determine whether one or more defective scenarios have been resolved.

[0165] Figure 17 This is a diagram illustrating an example of a simulation method 1700 for producing a secondary battery using a roller press, according to an embodiment of the present invention. The simulation method 1700 for producing a secondary battery using a roller press can be executed by a processor (e.g., at least one processor of a simulation device). As shown, the simulation method 1700 for producing a secondary battery using a roller press can be initiated by the processor in a manner including (S1710) a device operation unit for a 3D roller press associated with the production of secondary batteries, a device operation unit including multiple adjustment parameters for determining the operation of the 3D roller press, a main operation panel including multiple buttons for operating the 3D roller press, and a quality confirmation unit including quality information associated with the quality of the material produced by the 3D roller press.

[0166] The processor can obtain at least one of the following: first user behavior information obtained through the device action unit, button operation information obtained through the main operation panel, and first user condition information obtained through the device operation unit (S1720). Furthermore, the processor can determine the operation of the 3D roller press based on at least one of the obtained first user behavior information, button operation information, and first user condition information (S1730). And, based on the determined operation, the processor performs an action that presses the coated electrode between the rotating rollers associated with the 3D roller press to a predetermined thickness (S1740).

[0167] According to one embodiment, the processor can change the adjustment parameters displayed in the device operation section based on first user behavior information. Furthermore, when receiving button operation information and determining that the received button operation information corresponds to a predetermined button operation, the processor can allow the 3D roller press to operate.

[0168] According to one embodiment, the processor can drive the 3D roller press with animation based on the 3D roller press training scene, or display a user behavior guidance image on the device action unit to guide user behavior, or display a button operation guidance image on the main operation panel to guide button operation, or display a user condition input guidance image on the device operation unit to guide user condition input.

[0169] Furthermore, the processor can determine one or more quality parameters for determining the quality of the material produced by the 3D roller press, and during the execution of the 3D roller press operation, it can calculate values ​​corresponding to the determined one or more quality parameters based on the executed 3D roller press operation. Then, the processor can generate quality information associated with the quality of the material produced by the 3D roller press based on the calculated values ​​corresponding to the one or more quality parameters.

[0170] According to one embodiment, the processor can determine one or more defect scenarios associated with a malfunction of the 3D roller press, and based on the determined defect scenario, modify at least one of the following: the operation of the 3D roller press and quality information associated with the material quality. For example, the multiple defect scenarios may include a total thickness defect scenario, an operator-direction thickness defect scenario, an equipment-direction thickness defect scenario, and a side thickness defect scenario, etc. In this case, each defect scenario can be resolved using arbitrary user condition information and user behavior information input by the user.

[0171] Figure 18 This is a diagram illustrating an example of a test result calculation method 1800 according to an embodiment of the present invention. The test result calculation method 1800 can be executed by a processor (e.g., at least one processor of a simulation device). As shown, the test result calculation method 1800 can begin (S1810) by the processor receiving at least one of second user behavior information and second user condition information for resolving one or more identified adverse scenarios.

[0172] As described above, the processor can correct the modified operation of the 3D model device based on at least one of the received second user behavior information and second user condition information (S1820). Furthermore, during the execution of the corrected operation of the 3D model device, the processor can calculate values ​​corresponding to multiple quality parameters based on the executed operation of the 3D model device, the multiple quality parameters being associated with the quality of the substance generated by the 3D model device (S1830). In this case, the processor can correct the quality information associated with the quality of the substance generated by the corrected 3D model device based on the calculated values ​​corresponding to the multiple quality parameters (S1840).

[0173] Then, the processor can use the corrected quality information and / or the settings and condition values ​​of the 3D model device to determine whether one or more defective scenarios have been resolved (S1850). If it is determined that the defective scenario has not been resolved, the processor can use the information input by the user to regenerate or obtain second user behavior information, second user condition information, etc.

[0174] If one or more defective scenarios are resolved, the processor can calculate the execution time and loss value of one or more defective scenarios during the period of handling the defective scenarios (S1860). Furthermore, the processor can generate operational capability information for the 3D model device specific to the user account based on the calculated execution time and loss value (S1870). While the operational capability information may include, but is not limited to, parameters such as execution speed and accuracy calculated using execution time and loss value, it may also include the user's test score and test pass / fail status. In this case, each user performing secondary battery production can be assigned a user account, and the operational capability information generated based on the user's defective scenario execution time and loss value can be stored or managed in association with that user account.

[0175] Figure 19 This is a diagram illustrating an example of a defective scene generation method 1900 according to an embodiment of the present invention. The defective scene generation method 1900 can be executed by a processor (e.g., at least one processor of a simulation device). As shown, the defective scene generation method 1900 can begin (S1910) by the processor obtaining error information associated with a malfunction in an external device associated with a 3D model device.

[0176] The processor can generate a malfunction scenario associated with the malfunction of the 3D model device based on the obtained error information (S1920). The error information may include the values ​​and setpoints of various adjustment parameters of the actual secondary battery production equipment associated with the 3D model device when a malfunction occurs. For example, if the quality of the material produced by the secondary battery production equipment exceeds a predetermined normal range, a malfunction can be determined. In the case of a determined malfunction, the processor can obtain error information associated with the malfunction and generate a malfunction scenario associated with the malfunction of the 3D model device based on the obtained error information.

[0177] Figure 20 An exemplary computing device 2000 is shown for performing the methods and / or embodiments described above. According to one embodiment, the computing device 2000 may use hardware and / or software configured to interact with a user. The computing device 2000 may include the analog device described above. Figure 1(100 in the original text). For example, computing device 2000 can be configured to support virtual reality (VR), augmented reality (AR), or mixed reality (MR) environments, but is not limited thereto. Computing device 2000 may include laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, etc., but is not limited thereto. The constituent elements of computing device 2000, their connection relationships, and their functions described above are merely illustrative and are not intended to limit the embodiments of the invention described in this specification and / or claimed.

[0178] The computing device 2000 includes a processor 2010, a memory 2020, a storage device 2030, a communication device 2040, a high-speed interface 2050 connected to a high-speed expansion port, and a low-speed interface 2060 connected to a low-speed bus and storage device. These components 2010, 2020, 2030, 2040, and 2050 can be interconnected using various buses and can be mounted on a main board or otherwise installed and connected in a suitable manner. The processor 2010 can be configured to process computer program commands by performing basic arithmetic, logic, and input / output calculations. For example, the processor 2010 can process instructions stored in the memory 2020, storage device 2030, etc., and / or instructions executed within the computing device 2000, and display graphical information on an external input / output device 2070, such as a display device, coupled to the high-speed interface 2050.

[0179] The communication device 2040 can provide configurations or functions for enabling communication between the input / output device 2070 and the computing device 2000 via a network, and can also provide configurations or functions for supporting communication between the input / output device 2070 and / or the computing device 2000 and other external devices. For example, requests or data generated by the processor of an external device according to arbitrary program code can be transmitted to the computing device 2000 via the network under the control of the communication device 2040. Conversely, control signals or instructions provided under the control of the processor 2010 of the computing device 2000 can be transmitted to other external devices via the communication device 2040 and the network.

[0180] exist Figure 20Although the computing device 2000 is shown as including a processor 2010, a memory 2020, etc., it is not limited to this; the computing device 2000 can be implemented using multiple memories, multiple processors, and / or multiple buses, etc. Furthermore, in Figure 20 Although it is described as having a computing device 2000, it is not limited to this. Multiple computing devices can interact and perform actions for performing the above methods.

[0181] The memory 2020 may store information within the computing device 2000. According to one embodiment, the memory 2020 may include volatile memory cells or multiple memory cells. Alternatively or additionally, the memory 2020 may include non-volatile memory cells or multiple memory cells. Furthermore, the memory 2020 may include computer-readable media of other forms, such as a magnetic disk or optical disk. Additionally, an operating system and at least one program code and / or instructions may be stored in the memory 2020.

[0182] Storage device 2030 can be one or more high-capacity storage devices for storing data for computing device 2000. For example, storage device 2030 can be a computer-readable medium including, or can be configured to include, semiconductor storage devices such as hard disks, magnetic discs, optical discs, EPROMs (Erasable Programmable Read-Only Memory), EEPROMs (Electrically Erasable PROMs), flash memory devices, CD-ROMs, and DVD-ROMs. Furthermore, computer programs can be embodied in such computer-readable media.

[0183] The high-speed interface 2050 and the low-speed interface 2060 can be tools for interacting with the input / output device 2070. For example, the input device may include a camera, keyboard, microphone, mouse, etc., containing an audio sensor and / or an image sensor, and the output device may include a display, speaker, haptic feedback device, etc. In other examples, the high-speed interface 2050 and the low-speed interface 2060 can be tools for interfacing with devices such as touchscreens that integrate input and output configuration or functions.

[0184] According to one embodiment, the high-speed interface 2050 manages bandwidth-intensive operations of the computing device 2000, while the low-speed interface 2060 manages bandwidth-intensive operations less than those of the high-speed interface 2050. This functional allocation is merely illustrative. According to one embodiment, the high-speed interface 2050 can be combined with a high-speed expansion port, which can accommodate a memory 2020, an input / output device 2070, and various expansion cards (not shown). Furthermore, the low-speed interface 2060 can be combined with a storage device 2030 and a low-speed expansion port. In addition, the low-speed expansion port, which may include various communication ports (e.g., USB, Bluetooth, Ethernet, Wireless Ethernet), can be combined with network devices such as routers and switches via one or more input / output devices 2070, such as a keyboard, pointing device, scanner, or network adapter.

[0185] The computing device 2000 can be implemented in different forms. For example, the computing device 2000 can be implemented as a standard server, or as a group of such standard servers. Alternatively or additionally, the computing device 2000 can be implemented as part of a rack server system, or as a personal computer such as a laptop computer. In this case, the components of the computing device 2000 can be combined with other components within any mobile device (not shown). Such a computing device 2000 can include or communicate with more than one other computing device.

[0186] exist Figure 20 Although shown as not included in the computing device 2000 by way of input / output device 2070, it is not limited thereto and can be configured as a device with the computing device 2000. Furthermore, in Figure 20 Although the high-speed interface 2050 and / or low-speed interface 2060 are shown as separate components of the processor 2010, this is not a limitation, and the high-speed interface 2050 and / or low-speed interface 2060 may be included in the processor.

[0187] The methods and / or various embodiments described above can be implemented using digital electronic circuits, computer hardware, firmware, software, and / or combinations thereof. Various embodiments of the present invention can be executed by a data processing apparatus, such as one or more programmable processors and / or one or more computing devices, or implemented as a computer-readable medium and / or a computer program stored on a computer-readable medium. The computer program described above can be written in any form of programming language, whether compiled or interpreted, and can be distributed as an independent executable program, module, subroutine, etc. The computer program can be distributed via a single computing device, multiple computing devices connected to the same network, and / or multiple computing devices distributed via multiple different network connections.

[0188] The methods and / or various embodiments described above can be executed by one or more processors configured to perform actions based on input data or generate output data, thereby executing one or more computer programs to process, store, and / or manage arbitrary functions, etc. For example, the methods and / or various embodiments of the present invention can be executed by dedicated logic circuits such as FPGAs (Field Programmable Gate Arrays) or ASICs (Application Specific Integrated Circuits), and the apparatus and / or system for executing the methods and / or embodiments of the present invention can be implemented as dedicated logic circuits such as FPGAs or ASICs.

[0189] 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 read-only memory and random access memory, respectively, or from both read-only memory and random access memory. In this invention, the components of a computing device for executing methods and / or embodiments may include one or more processors for executing instructions and one or more memories for storing instructions and / or data.

[0190] According to one embodiment, a computing device can send and receive data with one or more mass storage devices for storing data. For example, the computing device can receive and / or transfer data from a magnetic disc or optical disc, and transfer data to a magnetic disc or optical disc. Computer-readable media suitable for storing instructions and / or data associated with computer programs may include, but are not limited to, non-volatile memories of any form including semiconductor storage devices, such as EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable PROM), and flash memory devices. For example, computer-readable media may include magnetic discs such as internal hard disks or external hard disks, photomagnetic discs, CD-ROMs, and DVD-ROMs.

[0191] To provide interaction with the user, a computing device may include, but is not limited to, display devices for providing or displaying information to the user (e.g., CRT (Cathode Ray Tube), LCD (Liquid Crystal Display), etc.) and indicating devices for the user to input and / or provide instructions to the computing device (e.g., keyboard, mouse, trackball, etc.). That is, the computing device may also include any other type of device for providing interaction with the user. For example, the computing device may provide the user with any form of sensory feedback, including visual feedback, auditory feedback, and / or tactile feedback, to interact with the user. In this regard, the user can provide input to the computing device through various gestures such as vision, speech, and movement.

[0192] In this invention, multiple embodiments can be implemented in a computing device that includes back-end components (e.g., a data server), middleware components (e.g., an application server), and / or front-end components. In this case, the components can be interconnected via any form or medium of digital data communication, such as a communication network. According to one embodiment, the communication network may include wired networks such as Ethernet, power line communication, telephone line communication devices, and RS-serial communication; wireless networks such as mobile communication networks, WLAN (Wireless LAN), Wi-Fi, Bluetooth, and ZigBee; or combinations thereof. For example, the communication network may include a LAN (Local Area Network), a WAN (Wide Area Network), etc.

[0193] The computing device based on the exemplary embodiments described herein can 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, PDAs (Personal Digital Assistants), tablet PCs, game consoles, wearable devices, IoT (Internet of Things) devices, VR (virtual reality) devices, AR (augmented reality) devices, etc. The computing device may also include other types of devices configured to interact with a user. Furthermore, the computing device may include portable communication devices (e.g., mobile phones, smartphones, wireless cellular phones, etc.) suitable for wireless communication via networks such as mobile communication networks. The computing device is capable of communicating wirelessly with a web server using wireless communication technologies and / or protocols such as radio frequency (RF), microwave frequency (MWF), and / or infrared ray frequency (IRF).

[0194] In this invention, various embodiments, including specific structural and functional details, are illustrative. Therefore, the embodiments of this invention are not limited to the above description and can be implemented in many different forms. Furthermore, the terminology used in this invention is used to describe some embodiments and should not be construed as limiting the embodiments. For example, unless explicitly stated in the context, singular words and the above content can be interpreted to include plural forms.

[0195] In this invention, unless defined differently, all terms used in this specification, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. Furthermore, terms as commonly used as those defined in dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant technical context.

[0196] While the invention has been described in connection with a subset of embodiments in this specification, various modifications and variations can be made without departing from the scope of the invention as understood by one of ordinary skill in the art. Furthermore, such modifications and variations should be considered to fall within the scope of the appended claims.

Claims

1. A roller press simulation device for producing secondary batteries, wherein, The simulation device includes: The memory is configured to store at least one instruction; and At least one processor is configured to execute the at least one instruction stored in the memory. The at least one instruction includes instructions for the following: The device includes an actuator, an equipment operation unit, a main control panel, and a quality verification unit. The actuator includes a 3D roller press associated with the production of secondary batteries. The equipment operation unit includes multiple adjustment parameters for determining the operation of the 3D roller press. The main control panel includes multiple buttons for driving the 3D roller press. The quality verification unit includes quality information associated with the quality of the material produced by the 3D roller press. The device obtains at least one of the following: first user behavior information obtained through the device action unit, button operation information obtained through the main operation panel, and first user condition information obtained through the device operation unit. The action of the 3D roller press is determined based on at least one of the obtained first user behavior information, button operation information, and first user condition information; The actions of the 3D roller press are performed based on the determined actions; Perform at least one defective scenario associated with the malfunction of the 3D roll press, the at least one defective scenario including at least one of the following: total thickness defective scenario, operator-direction thickness defective scenario, equipment-direction thickness defective scenario, and side thickness defective scenario; Obtain at least one of the following: second user behavior information for dragging at least a portion of the 3D roller press and second user condition information for changing the adjustment parameters of the equipment operating unit; The 3D roller press is corrected in the animation based on at least one of the obtained second user behavior information and second user condition information; Calculate values ​​corresponding to one or more quality parameters, said quality parameters being associated with the quality of the material produced by the calibrated 3D roller press; and The quality information associated with the quality of the material produced by the corrected 3D roller press is corrected based on the calculated values ​​corresponding to the one or more quality parameters, and the corrected quality information is displayed in the quality confirmation section.

2. The roller press simulation device for producing secondary batteries according to claim 1, wherein, The at least one instruction further includes instructions for the following: The adjustment parameters displayed on the device operation unit are changed based on the first user behavior information obtained through the device operation unit.

3. The roller press simulation device for producing secondary batteries according to claim 1, wherein, The at least one instruction further includes instructions for the following: Execute a 3D roller press training scenario based on the operation process of the 3D roller press; Perform at least one of the following: drive the 3D roller press with animation according to the 3D roller press training scenario, display a user behavior guidance image on the device action section, display a button operation guidance image on the main operation panel, and display a user condition input guidance image on the device operation section; Obtain at least one of the first user behavior information, the button operation information, and the first user condition information; Based on at least one of the obtained first user behavior information, button operation information, and first user condition information, at least one of the device action unit, the device operation unit, and the main operation panel is modified.

4. The roller press simulation device for producing secondary batteries according to claim 3, wherein, The 3D roller press training scenario includes at least one of the following: work instruction confirmation training steps, edge position control (EPC) adjustment training steps, tension adjustment training steps, roll gap adjustment training steps, back pressure adjustment training steps, and quality confirmation training steps.

5. The roller press simulation device for producing secondary batteries according to claim 1, wherein, The at least one instruction further includes instructions for the following: Determine one or more quality parameters for determining the quality of the material produced by the 3D roller press; During the execution of the 3D roller press, values ​​corresponding to the determined one or more quality parameters are calculated based on the executed 3D roller press. Based on the calculated values ​​corresponding to the one or more quality parameters, quality information associated with the quality of the material produced by the 3D roller press is generated and displayed in the quality confirmation section.

6. The roller press simulation device for producing secondary batteries according to claim 1, wherein, The at least one instruction further includes instructions for the following: More than one case training scenario is determined from a plurality of case training scenarios associated with the quality of the material produced by the 3D roller press; Based on one or more identified case training scenarios, change at least one of the following: the operation of the 3D roller press and quality information associated with the quality of the material.

7. The roller press simulation device for producing secondary batteries according to claim 6, wherein, The case training scenarios include at least one of the following: a total thickness defect scenario where the total thickness of the material exceeds the upper or lower limit of the specification; an operator-direction thickness defect scenario where the thickness of the material in the operator direction exceeds the upper or lower limit of the specification; an equipment-direction thickness defect scenario where the thickness of the material in the equipment direction exceeds the upper or lower limit of the specification; and a side thickness defect scenario where the side thickness of the material exceeds the upper or lower limit of the specification.

8. The roller press simulation device for producing secondary batteries according to claim 1, wherein, The at least one instruction further includes instructions for the following: Output guidance information, which includes conditional and behavioral information required to resolve one or more adverse scenarios.

9. A simulation method for a roller press for producing secondary batteries, said method being executed by at least one processor, wherein, The simulation method for the roller press used to produce secondary batteries includes: The process includes the steps of an execution device action unit, an equipment operation unit, a main operation panel, and a quality confirmation unit. The device action unit includes a 3D roller press associated with the production of secondary batteries. The equipment operation unit includes multiple adjustment parameters for determining the operation of the 3D roller press. The main operation panel includes multiple buttons for driving the 3D roller press. The quality confirmation unit includes quality information associated with the quality of the material produced by the 3D roller press. The step of obtaining at least one of the following: first user behavior information obtained through the device action unit, button operation information obtained through the main operation panel, and first user condition information obtained through the device operation unit; The steps for determining the operation of the 3D roller press based on at least one of the obtained first user behavior information, button operation information, and first user condition information; The steps for performing the actions of the 3D roller press based on the determined actions; Perform at least one defective scenario associated with the malfunction of the 3D roll press, the at least one defective scenario including at least one of the following: total thickness defective scenario, operator-direction thickness defective scenario, equipment-direction thickness defective scenario, and side thickness defective scenario; Obtain at least one of the following: second user behavior information for dragging at least a portion of the 3D roller press and second user condition information for changing the adjustment parameters of the equipment operating unit; The 3D roller press is corrected in the animation based on at least one of the obtained second user behavior information and second user condition information; Calculate values ​​corresponding to one or more quality parameters, said quality parameters being associated with the quality of the material produced by the calibrated 3D roller press; and The quality information associated with the quality of the material produced by the corrected 3D roller press is corrected based on the calculated values ​​corresponding to the one or more quality parameters, and the corrected quality information is displayed in the quality confirmation section.

10. The simulation method for a roller press for producing secondary batteries according to claim 9, wherein, Also includes: The step of changing the adjustment parameters displayed on the device operation unit based on the first user behavior information obtained through the device operation unit.

11. The simulation method for a roller press for producing secondary batteries according to claim 9, wherein, Also includes: The steps for executing a 3D roller press training scenario based on the operation process of the 3D roller press; Perform at least one of the following steps: drive the 3D roller press with animation according to the 3D roller press training scenario, display a user behavior guidance image on the device action section, display a button operation guidance image on the main operation panel, and display a user condition input guidance image on the device operation section; The step of obtaining at least one of the first user behavior information, the button operation information, and the first user condition information; and The step of changing at least one of the device action unit, the device operation unit, and the main operation panel based on at least one of the obtained first user behavior information, button operation information, and first user condition information.

12. The simulation method for a roller press for producing secondary batteries according to claim 11, wherein, The 3D roller press training scenario includes at least one of the following: work instruction confirmation training steps, edge position control (EPC) adjustment training steps, tension adjustment training steps, roll gap adjustment training steps, back pressure adjustment training steps, and quality confirmation training steps.

13. The simulation method for a roller press for producing secondary batteries according to claim 9, wherein, Also includes: The step of determining one or more quality parameters for determining the quality of the material produced by the 3D roller press; During the execution of the 3D roller press, the steps of calculating values ​​corresponding to the determined one or more quality parameters based on the executed actions of the 3D roller press; and The step of generating quality information associated with the quality of the material produced by the 3D roller press based on the calculated values ​​corresponding to the one or more quality parameters and displaying it in the quality confirmation section.

14. The simulation method for a roller press for producing secondary batteries according to claim 9, wherein, Also includes: The step of determining more than one case training scenario among multiple case training scenarios associated with the quality of the material produced by the 3D roller press; and Based on one or more identified case training scenarios, the steps of changing at least one of the following: the operation of the 3D roller press and quality information associated with the quality of the material.

15. The simulation method for a roller press for producing secondary batteries according to claim 14, wherein, The case training scenarios include At least one of the following scenarios: the total thickness of the material exceeds the upper or lower limit of the specification; the thickness of the material in the operator direction exceeds the upper or lower limit of the specification; the thickness of the material in the equipment direction exceeds the upper or lower limit of the specification; and the thickness of the material in the side surface exceeds the upper or lower limit of the specification.

16. The simulation method for a roller press for producing secondary batteries according to claim 9, wherein, Also includes: The step of outputting guidance information includes conditional and behavioral information required to resolve one or more adverse scenarios.

17. A computer program product stored on a computer-readable medium, wherein, The computer program product is used to execute the method according to any one of claims 9 to 16 in a computer.

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