Stirrer simulation device and method for producing secondary batteries
By simulating the mixing equipment and methods in the secondary battery production process, the problem of operator shortage was solved, production efficiency and responsiveness were improved, and the equipment was adapted to the actual working environment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- LG ENERGY SOLUTION LTD
- Filing Date
- 2022-07-19
- Publication Date
- 2026-06-19
AI Technical Summary
There is a shortage of skilled operators in secondary battery production plants, and it is difficult to provide them with long-term training and education, which makes it difficult for new employees to cope with various types of adverse situations in the production process.
A mixer simulation apparatus and method for producing secondary batteries are provided. The computer program is stored on a computer-readable medium to simulate the secondary battery production process, including training scenarios and troubleshooting scenarios, to help operators become familiar with equipment operation and deal with adverse situations.
Simulation training significantly reduces losses caused by adverse conditions, improves production efficiency, enhances operators' ability to cope, and helps them adapt to the actual working environment.
Smart Images

Figure CN116848568B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a mixer simulation apparatus and method for producing secondary batteries, and more specifically, to a mixer simulation apparatus 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 operate these secondary battery manufacturing plants.
[0003] On the other hand, the traditional method of training and educating new operators involves observing and learning from experienced operators. However, the busy production schedule for secondary batteries makes it impossible to provide extended training for new operators. Furthermore, frequent operator turnover makes it difficult to ensure a sufficient number of skilled operators. Even when operators are trained using standard factory operating methods, it is difficult for them to immediately handle the various types of adverse situations that may occur during factory startup. Summary of the Invention
[0004] Technical issues
[0005] The present invention provides a mixer simulation apparatus (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] This invention can be implemented in a variety of ways, including apparatus (system), method, computer program stored in a computer-readable medium or computer-readable medium storing a computer program.
[0008] An embodiment of the present invention provides a simulation apparatus for producing secondary batteries, comprising: 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 performing the following operations: executing an apparatus operating unit comprising a mixer model apparatus associated with the production of secondary batteries; executing an equipment operation unit comprising multiple adjustment parameters and quality information associated with quality, the multiple adjustment parameters being used to determine the operation of the mixer model apparatus, the quality information being associated with the quality of the material produced by the mixer model apparatus; obtaining at least one of first user condition information and first user behavior information input through at least one of the equipment operation unit and the mixer model apparatus; determining the operation of the mixer model apparatus based on the obtained first user condition information and first user behavior information; and, based on the determined operation, performing operations associated with the mixer model apparatus, including metering, mixing, and transferring of multiple raw materials.
[0009] According to one embodiment of the present invention, at least one instruction further includes instructions for performing the following operations: executing a training scenario based on the operation process of the mixer model device; and displaying guidance information for the operation of the equipment operating unit according to the training scenario.
[0010] According to one embodiment of the present invention, the training scenarios include at least one of the following: raw material name and setting value input training, insulating liquid setting training, adhesive liquid setting training, pre-dispersion liquid setting training, slurry setting training, tank cleaning training, and troubleshooting training.
[0011] According to one embodiment of the present invention, the insulating liquid setting training includes at least one of the following: semi-automatic insulating liquid setting detail training, semi-automatic insulating liquid mixing detail training, automatic insulating liquid mixing detail training, and insulating liquid transfer detail training.
[0012] According to one embodiment of the present invention, the adhesive liquid setting training includes at least one of the following: adhesive liquid semi-automatic setting detail training, adhesive liquid semi-automatic mixing detail training, adhesive liquid automatic mixing detail training, and adhesive liquid transfer detail training.
[0013] According to an embodiment of the present invention, the pre-dispersion setting training includes at least one of the following: pre-dispersion semi-automatic setting detail training, pre-dispersion semi-automatic mixing detail training, pre-dispersion automatic mixing detail training, and pre-dispersion transfer detail training.
[0014] According to one embodiment of the present invention, the slurry setting training includes at least one of the following: slurry semi-automatic setting detail training, slurry semi-automatic mixing detail training, slurry mixing detail training, and slurry transfer detail training.
[0015] According to one embodiment of the present invention, tank cleaning training includes at least one of setpoint input detail training and semi-automatic cleaning detail training.
[0016] According to an embodiment of the present invention, the troubleshooting scenarios include at least one of the following scenarios: valve alarm scenario, overflow scenario, adhesive liquid exchange scenario, slurry transfer scenario, active substance exchange scenario, set value check scenario, main mixer overheating scenario, and piping blockage scenario.
[0017] According to an embodiment of the present invention, at least one instruction further includes instructions for performing the following operations: executing at least one troubleshooting scenario among valve alarm scenario, overflow scenario, binder liquid exchange scenario, slurry transfer scenario, active substance type exchange scenario, setpoint check scenario, main mixer overheating scenario, and piping blockage scenario; changing at least a portion of the mixer model device and equipment operating unit to an abnormal range based on the executed troubleshooting scenario; obtaining at least one of second user behavior information and second user condition information through at least one of the mixer model device and equipment operating unit; and changing at least one of the mixer model device and equipment operating unit that has been changed to an abnormal range to a normal range based on at least one of the obtained second user behavior information and second user condition information.
[0018] An embodiment of the present invention provides a mixer simulation method for producing secondary batteries, executed by at least one processor, comprising the following steps: executing a device operation unit including a mixer model apparatus associated with the production of secondary batteries; executing a device operation unit including multiple adjustment parameters and quality information, the multiple adjustment parameters being used to determine the operation of the mixer model apparatus, the quality information being associated with the quality of the material produced by the mixer model apparatus; obtaining at least one of first user condition information and first user behavior information input through at least one of the device operation unit and the mixer model apparatus; determining the operation of the mixer model apparatus based on the obtained first user condition information and first user behavior information; and, based on the determined operation, performing metering, mixing, and transferring of multiple raw materials associated with the mixer model apparatus.
[0019] According to one embodiment of the present invention, the method further includes the following steps: executing a training scenario based on the operation process of a mixer model device; and displaying guidance information for the operation of the equipment operating unit according to the training scenario.
[0020] According to one embodiment of the present invention, the training scenarios include at least one of the following: raw material name and setting value input training, insulating liquid setting training, adhesive liquid setting training, pre-dispersion liquid setting training, slurry setting training, tank cleaning training, and troubleshooting training.
[0021] According to one embodiment of the present invention, the insulating liquid setting training includes at least one of the following: semi-automatic insulating liquid setting detail training, semi-automatic insulating liquid mixing detail training, automatic insulating liquid mixing detail training, and insulating liquid transfer detail training.
[0022] According to one embodiment of the present invention, the adhesive liquid setting training includes at least one of the following: adhesive liquid semi-automatic setting detail training, adhesive liquid semi-automatic mixing detail training, adhesive liquid automatic mixing detail training, and adhesive liquid transfer detail training.
[0023] According to an embodiment of the present invention, the pre-dispersion setting training includes at least one of the following: pre-dispersion semi-automatic setting detail training, pre-dispersion semi-automatic mixing detail training, pre-dispersion automatic mixing detail training, and pre-dispersion transfer detail training.
[0024] According to one embodiment of the present invention, the slurry setting training includes at least one of the following: slurry semi-automatic setting detail training, slurry semi-automatic mixing detail training, slurry mixing detail training, and slurry transfer detail training.
[0025] According to one embodiment of the present invention, tank cleaning training includes at least one of setpoint input detail training and semi-automatic cleaning detail training.
[0026] According to an embodiment of the present invention, the troubleshooting scenarios include at least one of the following scenarios: valve alarm scenario, overflow scenario, adhesive liquid exchange scenario, slurry transfer scenario, active substance exchange scenario, set value check scenario, main mixer overheating scenario, and piping blockage scenario.
[0027] According to an embodiment of the present invention, the method further includes the following steps: executing at least one troubleshooting scenario among valve alarm scenario, overflow scenario, adhesive liquid exchange scenario, slurry transfer scenario, active substance type exchange scenario, setpoint check scenario, main mixer overheating scenario, and piping blockage scenario; changing at least a portion of the mixer model device and equipment operation unit to an abnormal range based on the executed troubleshooting scenario; obtaining at least one of second user behavior information and second user condition information through at least one of the mixer model device and equipment operation unit; and changing at least one of the mixer model device and equipment operation unit that has been changed to an abnormal range to a normal range based on the obtained second user behavior information and second user condition information.
[0028] The present invention provides a computer program stored in a computer-readable medium for executing the method described in an embodiment of the present invention in a computer.
[0029] The effects of the invention
[0030] 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.
[0031] In various embodiments of the present invention, troubleshooting 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.
[0032] In various embodiments of the present invention, users can easily learn the operation methods of the secondary battery production device through phased simulations based on their operational proficiency.
[0033] In various embodiments of the present invention, users can easily identify and address poorly trained scenarios, thereby enabling focused training only on scenarios where task proficiency is low.
[0034] In various embodiments of the present invention, users are trained using troubleshooting scenarios generated from misoperations occurring in real-world work environments, thereby effectively improving their ability to respond to problems.
[0035] 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
[0036] 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.
[0037] Figure 1 This is a diagram illustrating an example of a user using a simulation device according to an embodiment of the present invention.
[0038] Figure 2 This is a functional block diagram illustrating the internal structure of a simulation device according to an embodiment of the present invention.
[0039] Figure 3 This is a block diagram illustrating an example of a simulation device operating according to an embodiment of the present invention.
[0040] Figure 4 This is a diagram illustrating an example of a display screen displayed or output on the working section of a device according to an embodiment of the present invention.
[0041] Figure 5This is a diagram illustrating an example of a display screen shown or output on a manual display unit according to an embodiment of the present invention.
[0042] Figure 6 This is a diagram illustrating an example of a display screen shown or output in the equipment operation section associated with a mixer apparatus according to an embodiment of the present invention.
[0043] Figure 7 This is a diagram illustrating an example of a display screen shown or output in the equipment operation section associated with a mixer apparatus according to another embodiment of the present invention.
[0044] Figure 8 This is a diagram illustrating an example of a display screen shown or output in the equipment operation section associated with a mixer apparatus according to another embodiment of the present invention.
[0045] Figure 9 This is a diagram illustrating an example of a valve alarm scenario according to an embodiment of the present invention.
[0046] Figure 10 This is a diagram illustrating an example of a mixer simulation method for producing secondary batteries according to an embodiment of the present invention.
[0047] Figure 11 This is a diagram illustrating an exemplary computing device for performing the methods and / or embodiments described above.
[0048] Explanation of reference numerals in the attached figures
[0049] 100: Simulation device
[0050] 110: User
[0051] 120: Manual Display Section
[0052] 130: Equipment Operation Department
[0053] 140: Equipment Working Section Detailed Implementation
[0054] 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 well-known functions or structures will be omitted.
[0055] 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.
[0056] Referring to the accompanying drawings and the embodiments described below will make the advantages, features, and methods of achieving the embodiments disclosed herein more apparent. However, the invention is not limited to the embodiments disclosed below and can be implemented in many different ways. These embodiments are merely intended to enable those skilled in the art to fully understand the scope of the invention.
[0057] 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 to reflect the functionality of the invention, and to the extent possible, widely used and common terms. 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 the invention.
[0058] In this specification, any statement relating to the singular includes any statement relating to the plural, unless explicitly specified as singular in the context. Similarly, any statement relating to the plural includes any statement relating to the singular, unless explicitly specified as plural in the context. Throughout the specification, when it is stated that a part includes a certain constituent element, this means that other constituent elements may be included, rather than excluded, unless specifically stated otherwise.
[0059] In this invention, terms such as “comprising” or “including” may indicate the presence of features, steps, operations, elements and / or constituent elements, but these do not exclude the addition of other functions, steps, operations, elements, constituent elements and / or combinations thereof.
[0060] 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 more than one listed item or at least a portion of more than one item.
[0061] 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.
[0062] In this invention, a "secondary battery" can refer to a battery made using a substance 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, double-side folding, and characteristic testing can be performed. In this case, additional production equipment (devices) can be used to perform each process. Each piece of production equipment can operate according to adjustment parameters and set values set or changed by the user.
[0063] In this invention, "user" can refer to an operator who performs the production of secondary batteries and operates 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.
[0064] In this invention, the terms "equipment operation unit," "device operation unit," and "quality verification unit" refer to software programs included in or associated with the simulator device or input / output devices and / or displayed on input / output devices. These can refer to devices and / or programs used to output images or videos of model devices, or to receive various inputs from users and transmit them to the simulator device. The equipment operation unit and the quality verification unit can be configured separately, or one of the equipment operation unit and the quality verification unit can simultaneously include both functions.
[0065] In this invention, the "model device" is a virtual device that realizes actual secondary battery production equipment using 3D or 2D models. It can operate by executing, modifying, and / or correcting images, videos, animations, etc., of the model device based on user input information (e.g., user input information and / or user behavior information). That is, the "operation of the model device" can include the images, videos, animations, etc., of the model device being executed, modified, and / or corrected. For example, the model device can include devices for performing mixing, coating, roll pressing, slitting, notching and drying, lamination, folding and stacking, encapsulation, charging and discharging, degassing, double-side folding, characteristic detection, etc.
[0066] In this invention, "user condition information" may include user input that sets or changes at least some of the conditions and / or values of the adjustment parameters of the device operation unit, or information generated by any algorithm predetermined based on the user input.
[0067] In this invention, "user behavior information" may include user input such as touch input, drag input, pinch input, rotation input, etc., performed in at least a portion of the model device and / or the operating part of the device, or information generated by any algorithm predetermined based on the user input.
[0068] In this invention, a "trouble scenario" can include scenarios such as values and conditions used to change the operation of the model device to a range of malfunction or to change the quality information of a substance determined by the operation of the model device to a range of defects. For example, if a trouble scenario occurs during the operation of the simulation device, the operation and quality information of the model device can be changed based on the occurrence of the trouble scenario. Furthermore, if the operation and quality information of the model device, which were changed due to the trouble scenario, are corrected to the normal range, it can be determined that the trouble scenario has been resolved. For example, if the secondary battery production equipment is a mixer, the trouble scenario can include valve alarm scenarios, overflow scenarios, binder liquid exchange scenarios, slurry transfer scenarios, active material exchange scenarios, setpoint check scenarios, main mixer overheating scenarios, piping blockage scenarios, etc.
[0069] In this invention, a "training scenario" can include scenarios for operating secondary battery production equipment. Each training scenario can include multiple detailed training exercises. For example, when the secondary battery production equipment is a mixer, the training scenario can include training on inputting raw material names and settings, training on setting insulating liquids, training on setting adhesive liquids, training on setting pre-dispersion liquids, training on setting slurry, training on tank cleaning, etc. Insulating liquid setting training can include detailed training on semi-automatic setting of insulating liquids, detailed training on semi-automatic mixing of insulating liquids, detailed training on automatic mixing of insulating liquids, detailed training on transferring insulating liquids, etc. Adhesive liquid setting training can include detailed training on semi-automatic setting of adhesive liquids, detailed training on semi-automatic mixing of adhesive liquids, detailed training on automatic mixing of adhesive liquids, detailed training on transferring adhesive liquids, etc. Pre-dispersion liquid setting training can include detailed training on semi-automatic setting of pre-dispersion liquids, detailed training on semi-automatic mixing of pre-dispersion liquids, detailed training on automatic mixing of pre-dispersion liquids, detailed training on transferring pre-dispersion liquids, etc. Slurry setting training can include detailed training on semi-automatic setting of slurry ... Tank cleaning training can include detailed training on setpoint inputs and detailed training on semi-automatic cleaning.
[0070] In this invention, the "mixing process" can be a process of mixing active materials, pre-dispersion liquid, binder, and other additives with a solvent to prepare a homogeneous slurry for coating. In this invention, the "coating process" can be a process of coating a specified amount and shape of slurry onto a foil. Furthermore, in this invention, the "rolling process" can be a process of pressing the coated electrode between two rotating upper and lower rollers to a specified 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.
[0071] In this invention, the "slitting process" can be a process in which the electrode is cut to a predetermined width by passing it between two rotating upper and lower blades. For example, the user can determine or adjust various adjustment parameters to maintain a predetermined electrode width. Furthermore, in this invention, the "cutting and drying process" can be a process in which the electrode is punched into a predetermined shape and then moisture is removed. For example, the user can determine or adjust the cutting height, length, etc., to perform punching to achieve a shape of a specific quality.
[0072] In this invention, the "lamination process" can be a process of sealing and cutting the electrodes and separation membrane. For example, the user can determine or adjust the values corresponding to the x-axis, the values corresponding to the y-axis, etc., to perform a specific quality cut. Furthermore, in this invention, the "packaging process" can be a process of attaching leads and tape to the assembled battery cell and packaging it in an aluminum bag, and the "degassing process" can be a process of resealing after removing gas from the battery cell.
[0073] In this invention, the "double-sided folding process" can be a process of double-folding the side wings of a battery cell, and the "specific inspection process" can be a process of using a measuring instrument to determine the thickness, weight, length, width, insulation voltage, and other characteristics of the battery cell before it leaves the factory. In such a process, the user can adjust the conditions, values, etc., of various adjustment parameters or change the setting values corresponding to the device so that each process can be performed with specific quality within the normal range.
[0074] 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 a manual display unit 120, an equipment operation unit 130, and a device operation unit 140, etc. For example, user 110 may operate the simulation device 100, which is a 2D or 3D model device that actually implements a device used for secondary battery production, to learn how to use the device, or to train on how to deal with problems such as reduced product quality.
[0075] According to one embodiment, the device operation unit 130 may include multiple adjustment parameters used to determine the operation of the model device displayed on the device working unit 140. The user 110 can change at least some of the conditions among the multiple adjustment parameters to perform, modify, and / or correct the operation of the model device. That is, the operation of the model device can be adaptively changed or corrected according to changes in the adjustment parameters input by the user 110. Furthermore, the user can perform touch input, drag input, pinch input, rotation input, etc., on at least a portion of the device operation unit 130 to operate the model device of the device working unit 140, or change the structure of the model device. In this case, the user 110 can use the operation of the device operation unit 130 to confirm or zoom in / out on any area of the model device, and perform touch input on the device operation unit 130 to operate the model device or change its structure.
[0076] The device working unit 140 may include a model device associated with the production of secondary batteries. This model device may include, but is not limited to, 3D or 2D model devices associated with equipment used in secondary battery production such as mixers, coaters, slitters, roll presses, lamination units, and lamination and stacking (L&S) units. It may also include 3D or 2D model devices of any other equipment used for secondary battery production. The user 110 can perform touch, drag, and pinch inputs on the model device (at least a portion of the model device) included in the device working unit 140 to operate the model device or change its structure. That is, the user 110 can directly operate at least a portion of the model device, confirm or zoom in / out on any area of the model device, and perform touch inputs to operate the model device or change its structure.
[0077] The equipment operation unit 130 may include quality information associated with the quality of the material generated by the model device. This quality information may be generated by performing calculations on quality parameters, etc., based on predetermined standards and / or algorithms. That is, the user 110 can determine the quality information generated in response to changes in adjustment parameters or operation of the model device through the equipment operation unit 130. Alternatively, depending on the secondary battery production process, an additional quality verification unit, different from the equipment operation unit 130, may be independently constructed in a specific process.
[0078] The equipment operation unit 130 can display the driving status of the model device in the device operation unit 140. In the equipment operation unit 130, quality information can be displayed in an area associated with the model device in the device operation unit 140 or confirmed through specific operations. For example, by selecting the quality confirmation button displayed on the equipment operation unit 130, quality information can be displayed or output. In another example, if an malfunction occurs during the operation of the model device or the quality of the material produced in the model device is poor, an malfunction / poor quality indicator can be immediately displayed or output in the area of the equipment operation unit 130 corresponding to the area where the malfunction / poor quality occurred. In yet another example, quality information can also be displayed or output by changing the color or setting value of at least a portion of the equipment operation unit and / or the model device. For example, in the case where the secondary battery production equipment is a mixer, the driving status of the model device and the quality of the material produced by the model device are determined based on the adjustment parameters set in the equipment operation unit 130 and simultaneously displayed on the model device and the equipment operation unit 130. If the setting value of the adjustment parameter input to the equipment operation unit 130 is incorrect, the equipment operation unit 130 outputs an input error. If at least one of the driving state of the model device and the substance generated by the model device is malfunctioning due to the adjustment parameter of the equipment operation unit 130, the equipment operation unit 130 displays the malfunction type. Users can monitor the model device or the equipment operation unit 130 to intuitively understand the malfunction of the model device.
[0079] The manual display unit 120 can display instruction manuals and work instructions for the model device of the equipment operation unit 130 and the device working unit 140. The manual display unit 120 can be a separate component of this simulation device. Users can operate and / or monitor at least one of the equipment operation unit 130 and the device working unit 140 while reviewing the instruction information in the manual display unit 120, thereby learning how to input adjustment parameters for the equipment operation unit 130 and how to use the model device of the device working unit 140. In this example, although the instruction information is shown in a manual display unit 120 that is separately configured from the device working unit 140, this is not a limitation. Alternatively, in a specific process, the instruction information may be displayed in a portion of the device working unit 140 according to the secondary battery production process.
[0080] exist Figure 1Although the simulation device 100 is shown in a configuration that includes a manual display unit 120 and an equipment operation unit 130 but excludes a quality verification unit, it is not limited to this configuration. The manual display unit 120, equipment operation unit 130, and quality verification unit can be determined in any number or omitted depending on the type of model device associated with the simulation device 100, and more than one function can be implemented in a single component. With this structure, the user 110 performing secondary battery production can undergo training related to the operation methods of the secondary battery production equipment and the handling methods in case of defects through the simulation device 100 before commencing operations. Through such training, the user 110 can significantly reduce losses caused by defects and effectively improve the efficiency of secondary battery production operations.
[0081] Figure 2 This is a functional block diagram illustrating the internal structure 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 model device operating unit 210, a quality determination unit 220, a scene management unit 230, a user management unit 240, etc., but is not limited thereto. The simulation device 100 can communicate with the device operation unit 130 and the device operating unit 140, and send and receive data and / or information related to the model device.
[0082] The model device operating unit 210 can execute, modify, and / or correct the operation of the model device and equipment operation unit 130 displayed on the device operating unit 140 according to the user's operation. According to one embodiment, the model device operating unit 210 can obtain or receive user behavior information and / or user condition information using information input by the user (e.g., a secondary battery production operator). Then, the model device operating unit 210 can use the obtained or received user behavior information and / or user condition information to determine or modify the operation of the model device and equipment operation unit 130.
[0083] According to one embodiment, user behavior information, generated based on user input such as touching at least a portion of the model device included in the equipment operation unit 130 and / or the device working unit 140, may include information such as changes in the set values of the model device based on user input. For example, in the case where the model device is a mixer for producing secondary batteries, operations such as raw material metering and mixing, and slurry transfer can be performed by touching at least a portion of the equipment operation unit 130 (multiple button areas), and in this case, such user behavior information based on the touch area can be generated.
[0084] According to one embodiment, user condition information, generated from user input that modifies the conditions and / or values of at least a portion of the multiple adjustment parameters included in the equipment operation unit 130, may include information such as the amount of change in condition values used to determine the operation of the model device based on user input. For example, if the model device is a mixer for producing secondary batteries, the user can change the type of raw materials, the metering setting for different raw materials, the rotation speed of the mixer, the rotation time, etc., to set values through the equipment operation unit 130. In this case, user condition information based on the changed set values can be generated.
[0085] As described above, when the operation of the model device is performed based on user condition information and / or user behavior information, the quality determination unit 220 can determine or generate quality information related to the quality of the substance generated by the operation of the model device. That is, when the model device is operating (such as when animation, images, color changes, etc., are performed by the model device), quality information can be determined or generated in different ways based on the setting values, condition values, etc. of the model device. In other words, the user can change or adjust the parameters, or set at least a portion of the device operation unit 130 and / or the model device through touch input, thereby changing or adjusting the quality of the substance generated by the model device.
[0086] According to one embodiment, the quality determination unit 220 can determine or extract one or more quality parameters for determining the quality of the substance generated by the model device, and during the operation of the model device, can calculate values corresponding to each of the one or more quality parameters determined based on the operation of the model device. The values corresponding to the quality parameters can be calculated using any predetermined algorithm. Furthermore, the quality determination unit 220 can generate quality information associated with the quality of the substance generated by the model device based on the values corresponding to the calculated one or more quality parameters. For example, by adjusting the rotational speed of the mixer, the current value, and at least one value in the cooling water, mixer overheating can be calculated. In this case, the quality determination unit 220 can generate or output quality information related to the overheating of the main mixer.
[0087] According to one embodiment, the scenario management unit 230 can determine one or more training scenarios from multiple operating training scenarios for the model device, and change the operation of the equipment operation unit and the model device based on the determined training scenarios. For example, when the model device is a mixer, the multiple operating training scenarios may include training on inputting raw material names and settings, training on setting insulating liquids, training on setting adhesive liquids, training on setting pre-dispersion liquids, training on setting slurry, training on tank cleaning, etc., and each training may include multiple detailed trainings.
[0088] According to one embodiment, a troubleshooting scenario associated with the malfunction of the model device may occur during operation of the model device or before the model device is operated. In the event of such a troubleshooting scenario, at least a portion of the model device's setpoints, condition values, and corresponding quality information can be changed to an abnormal range based on the occurrence of the troubleshooting scenario. For example, in the case of a mixer device for producing secondary batteries, in a setpoint detection scenario, the name or metering setpoint of at least one of a plurality of raw materials may be incorrectly recorded within an abnormal range.
[0089] According to one embodiment, the scenario management unit 230 can determine one or more of a plurality of troubleshooting scenarios associated with malfunction of the model device, and modify at least one of the following based on the determined troubleshooting scenario: the operation of the model device and quality information associated with the quality of the material. For example, if the model device is a mixer, the plurality of troubleshooting scenarios may include a valve alarm scenario, an overflow scenario, a binder liquid exchange scenario, a slurry transfer scenario, an active substance exchange scenario, a setpoint check scenario, a main mixer overheating scenario, a piping blockage scenario, etc.
[0090] According to one embodiment, in the event of a troubleshooting scenario, a user can operate the device operation unit 130 and / or the model device based on guidance information output on the manual display unit 120 to change its settings in order to resolve the troubleshooting 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 troubleshooting scenarios, and correct the modified model device based on the received user behavior information and user condition information, calculate the values corresponding to multiple quality parameters associated with the quality of the substance generated by the model device, and correct the quality information associated with the quality of the substance generated by the corrected model device based on the calculated values corresponding to the multiple quality parameters.
[0091] Then, the scenario management unit 230 can use the corrected quality information to determine whether one or more troubleshooting scenarios have been resolved. For example, if at least one of user behavior information and user condition information is input in a predetermined order, the scenario management unit 230 can determine that the troubleshooting scenario has been resolved, but it is not limited to this. If the quality of the material is within a predetermined normal range, the scenario management unit 230 can determine that the troubleshooting scenario has been resolved. Additionally or alternatively, if the values of each quality parameter included in the quality information are within a predetermined normal range or a specific value, the scenario management unit 230 can determine that the troubleshooting scenario has been resolved. 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 troubleshooting scenario has been resolved.
[0092] According to one embodiment, the setting values, condition values, etc., of the model device that are changed to the scope of misoperation by the troubleshooting scenario can be predetermined according to different troubleshooting scenarios, but are not limited thereto. For example, troubleshooting 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 (such as actual secondary battery production equipment) associated with the model device, the scenario management unit 230 can obtain error information associated with the misoperation and generate a troubleshooting scenario associated with the misoperation of the model device based on the obtained error information. For example, when a misoperation occurs in the device supplying raw materials in the mixing process, the scenario management unit 230 can obtain the values of each adjustment parameter and the setting value of the device at the time of the misoperation as error information. The scenario management unit 230 can change the values of each adjustment parameter and the setting value of the device obtained from the external device in a manner corresponding to the model device to generate a troubleshooting scenario. With such a structure, by generating troubleshooting scenarios based on error information in the actual device, the simulation device 100 can effectively generate training content optimized for the actual working environment.
[0093] User management unit 240 can perform management tasks such as login, modification, and deletion of 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 240 can store and manage the progress of each training scenario for each user account in any database. Using the information stored by user management unit 240, 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 training scenarios based on the extracted information. For example, scenario management unit 230 can activate training scenarios sequentially according to a prescribed training schedule based on information associated with the user account, and users who have completed all prescribed training schedules can select any training scenario and detailed training. Furthermore, scenario management unit 230 can generate or provide training scenarios to the user only by extracting those with a work speed lower than the average work speed, but is not limited to this; it can also extract or determine training scenarios using any other criteria or any combination of criteria.
[0094] exist Figure 2 Although the various functional structures included in the analog device 100 are described separately, this is only for the purpose of aiding understanding the invention; more than two functions can also be executed in a single computing device. Furthermore, in Figure 2 Although the simulation device 100 is shown separately from the equipment operation unit 130 and the equipment working unit 140, this is not a limitation; the equipment operation unit 130 and the equipment working unit 140 may be included in the simulation device 100. With this structure, the simulation device 100 can generate and provide troubleshooting scenarios with various values associated with malfunctions in secondary battery production equipment. This allows the user to not only resolve potential malfunctions that may occur in actual equipment but also effectively learn coping strategies for each situation.
[0095] 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 The 100) may include training steps such as raw material name and setting value input 310, insulating liquid setting training step 320, adhesive liquid setting training step 330, pre-dispersion liquid setting training step 340, slurry setting training step 350, tank cleaning training step 360, and troubleshooting training step 370.
[0096] The raw material name and setpoint input training step 310 can be a step to learn the process of inputting raw material names into the equipment operation unit 130 and setting metering values for different raw materials. For example, the user can learn to operate the equipment operation unit 130 and input the raw material names and metering setpoints recorded in the work instructions (work log) according to the guidance information and work instructions included in the manual display unit 120. That is, during the execution of the raw material name and setpoint input training step 310, the guidance information required for the raw material name and setpoint input training is displayed on the manual display unit 120. The user can learn the process of inputting adjustment parameters or setting model devices of the equipment operation unit 130 by confirming the work instructions according to the instructions displayed on the manual display unit 120.
[0097] It can also light up or activate a portion of the screen so that the user can perform the work corresponding to the work instructions. If the user accurately enters all the raw material names and settings, any button (such as the confirmation button or the completion button) can be displayed or activated in the equipment operation section 130, and the next step can be performed, or the button that allows the user to enter the next step (such as the next step start button) can be displayed or activated.
[0098] The insulating liquid setting training step 320 can be a process of learning the preparation steps before preparing the insulating liquid for insulating coating, including inputting the mixer settings. The insulating liquid setting training step can include detailed training on semi-automatic insulating liquid setting, semi-automatic insulating liquid mixing, automatic insulating liquid mixing, and insulating liquid transfer. In this insulating liquid setting training step 320, the user can learn the following process: operate the equipment operation unit 130 according to the insulating liquid-related guidance information and work instructions included in the manual display unit 120, input the metering settings (raw material name, input quantity, input sequence) and mixing settings (rotation speed, mixing time) recorded in the work instructions (work log), mix the input raw materials, and transfer the mixed insulating liquid to the storage tank. That is, during the execution of the insulating liquid setting training step 320, the manual display unit 120 displays the guidance information required for the insulating liquid setting training. The user can check the work instructions (work log) according to the instructions displayed on the manual display unit 120, and learn to input the adjustment parameters of the equipment operation unit 130 required for the preparation of the insulating liquid and carry out the entire process of mixing and transferring.
[0099] It can also light up or activate a portion of the screen so that the user can perform the work corresponding to the work instructions. If the user accurately enters all the raw material names and settings, any button (such as the confirmation button or the completion button) can be displayed or activated in the equipment operation section 130, and the user can proceed to the next step or enable the button that allows the user to enter the next step (such as the next step start button) to be displayed or activated.
[0100] The binder setting training step 330 can be a process of learning the preparation and input of mixer settings before the binder is added to the anode main mixer. The binder setting training step 330 can include detailed training on semi-automatic binder setting, semi-automatic binder mixing, automatic binder mixing, and binder transfer. In this binder setting training step 330, the user can learn the following process: operate the equipment operation unit 130 according to the binder-related guidance information and operation instructions included in the manual display unit 120, input the metering settings (raw material name, input amount, input sequence) and mixing settings (rotation speed, mixing time) recorded in the operation instructions (operation log), mix the added raw materials, and transfer the mixed binder to the storage tank. That is, during the execution of the adhesive liquid setting training step 330, the manual display unit 120 displays the guidance information required for the adhesive liquid setting training. The user can check the work instructions (work log) according to the instructions displayed on the manual display unit 120, and learn to input the adjustment parameters of the equipment operation unit 130 required for the preparation of the adhesive liquid and carry out the entire process of mixing and transferring.
[0101] It can also light up or activate a portion of the screen so that the user can perform the work corresponding to the work instructions. If the user accurately enters all the raw material names and settings, any button (such as the confirmation button or the completion button) can be displayed or activated in the equipment operation section 130, and the user can proceed to the next step or enable the button that allows the user to enter the next step (such as the next step start button) to be displayed or activated.
[0102] The pre-dispersion setting training step 340 can be a step of learning the process of inputting mixer setting values before preparing a pre-dispersion by premixing conductive materials, binders, and dispersants to improve the dispersibility of the anode slurry. The pre-dispersion setting training step 340 can include training on semi-automatic pre-dispersion setting details, semi-automatic pre-dispersion mixing details, automatic pre-dispersion mixing details, and pre-dispersion transfer details. In this pre-dispersion setting training step 340, the user can learn the following process: operate the equipment operation unit 130 according to the pre-dispersion related guidance information and work instructions included in the manual display unit 120, and input the metering setting values (raw material name, input amount, input sequence) and mixing setting values (rotation speed, mixing time) recorded in the work instructions (work log) to mix the input raw materials and transfer the mixed pre-dispersion to the storage tank. That is, during the execution of the pre-dispersion setting training step 340, the manual display unit 120 displays the guidance information required for the pre-dispersion setting training. The user can check the work instructions (work log) according to the instructions displayed on the manual display unit 120, and learn to input the adjustment parameters of the equipment operation unit 130 required for the preparation of the pre-dispersion and carry out the entire process of mixing and transferring.
[0103] It can also light up or activate a portion of the screen so that the user can perform operations corresponding to the work instructions. If the user accurately enters all the raw material names and settings, any button (such as the confirmation button or the completion button) can be displayed or activated in the equipment operation section 130, and the user can proceed to the next step or have the button that allows the user to enter the next step (such as the next step start button) displayed or activated.
[0104] The slurry setting training step 350 can be a step of learning the process of inputting mixer setting values before preparing a slurry, which is a mixture of powdered and solution-state materials uniformly dispersed in a solvent. The slurry setting training step 350 can include detailed training on semi-automatic slurry setting, semi-automatic slurry mixing, automatic slurry mixing, and slurry transfer. In this slurry setting training step 350, the user can learn the following process: operate the equipment operation unit 130 according to the slurry-related guidance information and operation instructions included in the manual display unit 120, and input the metering setting values (raw material name, input amount, input sequence) and mixing setting values (rotation speed, mixing time) recorded in the operation instructions (operation log) to mix the input raw materials and transfer the mixed slurry to the storage tank. That is, during the execution of the slurry setting training step 350, the manual display unit 120 displays the guidance information required for the slurry setting training. The user can check the work instructions (work log) according to the instructions displayed on the manual display unit 120, and learn to input the adjustment parameters of the equipment operation unit 130 required for slurry preparation and carry out the entire process of mixing and transferring.
[0105] It can also light up or activate a portion of the screen so that the user can perform operations corresponding to the work instructions. If the user accurately enters all the raw material names and settings, any button (such as the confirmation button or the completion button) can be displayed or activated in the equipment operation section 130, and the user can proceed to the next step or have the button that allows the user to enter the next step (such as the next step start button) displayed or activated.
[0106] Tank cleaning training step 360 can be a step of learning the process of inputting setting values for cleaning storage tanks containing adhesive liquids, pre-dispersion liquids, slurries, etc. by spraying solvent (NMP) into them. Tank cleaning training step 360 can include detailed training on setting value input and detailed training on semi-automatic cleaning. In tank cleaning training step 360, the user can learn to operate the equipment operation unit 130, input the cleaning setting values recorded in the work instruction (work log), and perform the storage tank cleaning process using solvent, based on the tank cleaning related guidance information and work instructions included in the manual display unit 120. That is, during the execution of tank cleaning training step 360, the manual display unit 120 displays the guidance information required for tank cleaning training. The user can check the work instruction (work log) based on the instructions displayed on the manual display unit 120 while learning the entire process of inputting the adjustment parameters of the equipment operation unit 130 required for tank cleaning or operating the model device.
[0107] It can also light up or activate a portion of the screen so that the user can perform operations corresponding to the work instructions. If the user accurately enters all the raw material names and settings, any button (such as the confirmation button or the completion button) can be displayed or activated in the equipment operation section 130, and the user can proceed to the next step or have the button that allows the user to enter the next step (such as the next step start button) displayed or activated.
[0108] Troubleshooting training step 370 can be a series of steps for users to learn how to identify and handle troubleshooting issues that occur during the operation of the secondary battery production unit. Troubleshooting training step 370 may include detailed steps for valve alarms, overflows, binder fluid exchange, slurry transfer, active material exchange, setpoint checks, main mixer overheating, and piping blockages. When troubleshooting training occurs, the manual display can show or output guidance information such as the conditions (types of adjustment parameters, values of adjustment parameters) and actions (buttons to be operated) required to resolve the problem. Users can handle the problem and learn troubleshooting methods based on the guidance information displayed in this way.
[0109] In troubleshooting training step 370, multiple troubleshooting scenarios or combinations thereof can be repeatedly processed or resolved to familiarize the user with the troubleshooting method. For example, multiple troubleshooting scenarios can be activated sequentially and the user can train on multiple troubleshooting scenarios in sequence, but this is not a limitation. The user can either directly select one of the multiple troubleshooting scenarios for training, or train on any troubleshooting scenario arbitrarily determined by the simulator device.
[0110] Figure 3 The training steps 310 (raw material name and setting value input), 320 (insulating liquid setting), 330 (adhesive liquid setting), 340 (pre-dispersion liquid setting), 350 (slurry setting), and 360 (problem-solving training) can be performed sequentially according to the schedule, and the next training step is activated after the completion of one previous training step. Furthermore, the multiple detailed training steps constituting each training step can also be activated sequentially.
[0111] Figure 4This is an example of a display screen displayed or output in the device working unit 140 according to an embodiment of the present invention. As shown, the device working unit 140 can display or output a model device 410 simulating a mixer device for producing secondary batteries in 2D on the display screen. The model device 410 may include text, images, videos, etc., and can operate based on user condition information and / or user behavior information input by the user. The model device may include multiple raw material storage tank images 421, 422, 423 for storing raw materials, a main mixer image 430, multiple metering pipe images 441, 442, 443 connecting the multiple raw material storage tank images 421, 422, 423 to the main mixer image 430, multiple metering valve images 451, 452, 453 superimposed on the multiple metering pipe images 441, 442, 443, a slurry storage tank image 460 for storing the mixed slurry, a transfer pipe image 470 connecting the main mixer image 430 to the slurry storage tank image 460, and a transfer valve image 480 superimposed on the transfer pipe image 470.
[0112] Images 421, 422, and 423 of the raw material storage tank display the upper and lower sections in different colors based on the remaining amount of raw material in the tank. This allows the user to monitor the water level of the raw material in the tank. When raw material is metered and moved from the raw material storage tank to the main mixer, or when slurry is transferred from the main mixer to the slurry storage tank, the colors of the metering valve images, metering piping images, transfer valve images, and transfer piping images can be changed to preset colors. For example, when the raw material or slurry is not moving, the piping image is gray, while when the raw material or slurry is moving, the color of the piping image can change to red. Furthermore, the colors of the valves associated with the piping can also be displayed differently when the valve is open and closed. Additionally, when the main mixer is agitating, the main mixer image color can be changed to preset colors. For example, when the main mixer is agitating, the main mixer image color can change to green, and the rotation speed of the main mixer can be displayed in text or as an animation of the main mixer rotating. If a metering valve malfunctions, the colors of the metering piping image and the metering valve image can be changed to other preset colors. If a transfer valve malfunctions, the colors of the transfer piping image and the transfer valve image can also be changed to other preset colors.
[0113] Figure 5This diagram illustrates a display screen displayed or output on the manual display unit 120 according to an embodiment of the present invention. As shown, the manual display unit 120 may display or output training process information 510, equipment operation screen example 520, work instructions 530, work instruction related explanations 540, remarks 550, etc. on the display screen. Although it is shown in a way that the training process information 510, equipment operation screen example 520, work instructions 530, work instruction related explanations 540, remarks 550, etc. are displayed in a specific area of the display screen, it is not limited thereto, and text, images, videos, etc. can be displayed in any area of the display screen.
[0114] The Training Process Information area 510 can display or output the training steps and detailed training steps currently being performed by the user. The Equipment Operation Section Screen Example area 520 can display or output images of the equipment operation section, allowing the user to identify the area of the equipment operation section that needs to be operated. The Work Instructions area 530 can sequentially display or output the work content that the user needs to perform. The Work Instruction Related Explanation area 540 can display or output explanatory content related to the work instructions. The Remarks area 550 can display or output information that requires attention during the work. The Equipment Operation Section Screen Example 520, Work Instructions 530, Work Instruction Related Explanation 540, and Remarks 550 display or output interconnected information.
[0115] Users can refer to the device operation section screen example 520 displayed on the manual display section 120 and perform touch input or text input on at least a part of the device operation section 130 based on the work instructions 530 to perform training for each training scenario.
[0116] Figure 6 This diagram illustrates an example of a display screen shown or output in the equipment operation unit 130 associated with a mixer apparatus according to an embodiment of the present invention. As shown, the equipment operation unit 120 can display training scenario names 610 corresponding to multiple training scenarios and progress information 620 for each different training scenario according to different users. The training scenario names may include training for inputting raw material names and settings, training for setting insulating liquids, training for setting adhesive liquids, training for setting pre-dispersion liquids, training for setting slurry, training for tank cleaning, training for troubleshooting, etc. The progress information 620 for each training scenario may be displayed as whether it has ended or as a percentage reflecting the progress of detailed training steps. If any training scenario name is selected, the detailed training names 630 corresponding to multiple detailed trainings constituting the training scenario (e.g., training scenario name #3) and progress information 640 for each different detailed training can be displayed. The progress information 640 for each different detailed training can be displayed as whether the training has ended or as a percentage.
[0117] Figure 7 This diagram illustrates an example of a display screen shown or output in a device operation unit 130 associated with a mixer apparatus according to another embodiment of the present invention. According to one embodiment, the mixer apparatus may refer to an apparatus for mixing solvents with active materials, binders, and other additives used in the production of secondary batteries to prepare a slurry. The device operation unit 130 may be displayed on the screen in a manner similar to the model apparatus of the device operation unit 140, simulating a mixer apparatus used in the production of secondary batteries.
[0118] The mixer simulation area displayed in the equipment operation unit 130 may, similar to the model device, include multiple raw material storage tank images 721, 722, 723 for storing raw materials, a main mixer image 730, multiple metering pipe images 741, 742, 743 connecting the multiple raw material storage tank images 721, 722, 723 to the main mixer image 730, multiple metering valve images 751, 752, 753 superimposed on the multiple metering pipe images 741, 742, 743, a slurry storage tank image 760 for storing the mixed slurry, a transfer pipe image 770 connecting the main mixer image 730 to the slurry storage tank image 760, and a transfer valve image 780 superimposed on the transfer pipe image 770.
[0119] In images 721, 722, and 723 of the raw material storage tank, the remaining amount of raw material in the tank can be marked visually or numerically. When raw material is metered and moved from the raw material storage tank to the main mixer, or when slurry is transferred from the main mixer to the slurry storage tank, the colors of the metering valve images, metering piping images, transfer valve images, and transfer piping images can be changed to other preset colors. For example, when the raw material or slurry is not moving, the piping image is gray, while when the raw material or slurry is moving, the piping image can be changed to green. Furthermore, the valve images associated with the piping can also be displayed in different colors depending on whether the valve is open or closed. Additionally, when the main mixer is agitating, the main mixer image color can be changed to other preset colors. For example, when the main mixer is agitating, the main mixer image color can be changed to green, and the rotation speed of the main mixer can be displayed in text. If a metering valve malfunctions, the colors of the metering piping image and the metering valve image can be changed to other preset colors. If a transfer valve malfunctions, the colors of the transfer piping image and the transfer valve image can be changed to other preset colors.
[0120] Figure 8This diagram illustrates an example of a display screen shown or output in the equipment operation unit 130 associated with a mixer apparatus according to another embodiment of the present invention. The equipment operation unit 130 may display an adjustment parameter input area 810 for inputting information about the substances used in the mixing process in text form, and a button area 820 that needs to be touched to operate the mixer model apparatus. Alternatively or selectively, such a button area 820 may also be displayed in the device operation unit 140. The adjustment parameter input area 810 serves as a screen for the user to input material names, codes, setting values, etc., in text form while viewing the work instructions. If the user accurately inputs the material names, codes, setting values, etc., an additional indicator (e.g., a confirmation indicator) may be displayed to indicate accuracy.
[0121] In any button in the button area, the text displayed on that button can change whenever touch input is made (e.g., changing to "Wait" <-> "Run" each time it is touched). The color of any button in the button area can also change whenever touch input is made (e.g., changing to black <-> green or red when the start / stop button is activated). In the device operation unit 130, during the operation of the simulation device of the present invention, multiple screens with separate layouts can also be displayed overlay. If the user clicks on a button area, the color of that button can be changed or a new screen can be displayed.
[0122] Figure 9 This is a diagram illustrating an example of a valve alarm scenario according to an embodiment of the present invention. Simulation device ( Figure 1 (100) can identify one or more troubleshooting scenarios associated with malfunction of the mixer unit, and based on the identified troubleshooting scenario, modify at least one of the following: the operation of the mixer model unit and quality information associated with the quality of the material. The multiple troubleshooting scenarios may include valve alarm scenarios caused by valve malfunction. For example, a valve alarm scenario may refer to a scenario used to train response methods in the event that a valve malfunction during automatic mixing of slurry causes automatic mixing to stop.
[0123] According to one embodiment, when one or more troubleshooting scenarios include a valve alarm scenario, the simulation device can change predetermined areas (e.g., piping images, valve images) in the mixer simulation area of the equipment operation unit 130 and the mixer model device of the equipment operation unit 140 to predetermined states (images, videos, colors, animations), and can selectively issue audible alarms according to the type of troubleshooting scenario. For example, when a transfer valve misoperation occurs, the color of the transfer piping image 911 in the mixer simulation area of the equipment operation unit 130 can be changed from green to gray, and the color of the transfer valve image 912 can be changed from green to blue. Furthermore, the colors of the transfer piping image 921 and the transfer valve image 922 of the mixer model device can be changed to colors different from those during normal operation.
[0124] In the event of a valve alarm scenario, the user can operate the buttons displayed in the button area of the equipment operation unit 130, change the adjustment parameters in the adjustment parameter input area displayed on the equipment operation unit 130, or touch or drag a specific area of the mixer model device displayed on the device working unit 140, based on the guidance information or work instructions (work log) displayed on the manual display unit 120, thereby performing valve alarm training for the valve alarm scenario. In other words, if the user inputs at least one of the user condition information and user behavior information from the equipment operation unit 130 and the device working unit 140 in a predetermined order, the simulation device can determine that the valve alarm scenario has ended.
[0125] Similarly, if a storage tank overflow scenario is executed when a mixed insulating liquid, adhesive liquid, pre-dispersed liquid, etc., is transferred to the storage tank, the simulation device can change the predetermined areas (e.g., storage tank image, piping image, valve image) in the mixer simulation area of the equipment operation unit 130 and the mixer model device of the device working unit 140 to a predetermined state (image, video, color, animation) according to the storage tank overflow scenario, and can issue an audible alarm. The user can operate the operation buttons displayed in the button area of the equipment operation unit 130, change the adjustment parameters in the adjustment parameter input area displayed on the equipment operation unit 130, or touch or drag a specific area of the mixer model device displayed on the device working unit 140 based on the guidance information or work instructions (work log) displayed on the manual display unit 120, thereby performing storage tank overflow training for the storage tank overflow scenario. In other words, if the user inputs at least one of user condition information and user behavior information from the equipment operation unit 130 and the device working unit 140 in a predetermined order, the simulation device can determine that the storage tank overflow scenario has ended.
[0126] Furthermore, if at least one of the following scenarios is executed: an adhesive exchange scenario in which the remaining adhesive liquid in the piping and storage tank is discharged and discarded during simple adhesive cleaning; a slurry transfer scenario in which the slurry after mixing is transferred from the slurry mixer to the storage tank; an active substance exchange scenario in which the active substance is discharged; a setpoint check scenario in which the setpoint is confirmed to be accurately entered; a main mixer overheating scenario in which the temperature rises above a critical value during the mixing process of the main mixer; or a piping blockage scenario in which the transfer piping is blocked, the simulation device can change the mixer simulation area of the equipment operation unit 130 and the predetermined areas (such as: storage tank image, piping image, valve image, main mixer image, etc.) in the mixer model device of the device operation unit 140 to a predetermined state (image, video, color, animation) according to the executed scenario, and can issue an audible alarm. Users can operate the operation buttons displayed on the button area of the equipment operation unit 130, change the adjustment parameters in the adjustment parameter input area displayed on the equipment operation unit 130, or touch or drag specific areas of the mixer model device displayed on the device working unit 140, based on the guidance information or work instructions (work log) displayed on the manual display unit 120, thereby performing troubleshooting training corresponding to the scenario being performed. In other words, when the user inputs at least one of user condition information and user behavior information from the equipment operation unit 130 and the device working unit 140 in a predetermined order, the simulation device can determine that the troubleshooting scenario has ended.
[0127] Figure 10 This figure illustrates an example of a mixer simulation method S1000 for producing secondary batteries according to an embodiment of the present invention. The simulation method S1000 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 S1000 for producing secondary batteries can be started by the processor outputting a device operating unit and an equipment operation unit. The device operating unit includes a mixer model device associated with the production of secondary batteries, and the equipment operation unit includes multiple adjustment parameters for determining the operation of the mixer model device, information associated with the operating state of the mixer model device, and quality information associated with the quality of the material produced by the mixer model device (S1010). In one embodiment, a manual display unit can also be output, which includes instruction manuals and work instructions for the mixer model device in the equipment operation unit 130 and the device operating unit 140. The manual display unit can also be output by an additional processor different from the processor of the simulation device.
[0128] The processor can obtain at least one of the following information: first user behavior information and first user condition information, obtained through at least one of the equipment operation unit and the mixer model device (S1020). The first user condition information may include information associated with a value corresponding to at least one of a plurality of adjustment parameters. For example, the adjustment parameters may include at least one of the following: raw material name, raw material code name, raw material set value, main mixer rotation speed, and mixing time. The first user behavior information may include touch input performed in at least a portion of the equipment operation unit, or information generated based on the user input according to a predetermined arbitrary algorithm. For example, the first user behavior information may include raw material metering start / end touch input, mixing start / end touch input, slurry transfer start / end touch input, main mixer rotation control input, etc.
[0129] The processor can determine the operation of at least one mixer model device in the following processes: raw material metering, mixing of the metered raw materials, and transfer of the mixed material, based on at least one of the obtained first user behavior information and first user condition information (S1030).
[0130] Furthermore, the processor can perform the work of the mixer model device and the equipment operation unit included in the device operation unit based on the determined work (S1040).
[0131] If the determined task is raw material metering, the processor performs at least one of the following changes: a status change of the metering piping image of the equipment operating unit and a status change of the metering piping image of the mixer model device. If the determined task is mixing the metered materials, the processor performs at least one of the following changes: a status change of the main mixer image of the equipment operating unit, a change of the mixer speed value of the equipment operating unit, and a status change of the main mixer image of the mixer model device. If the determined task is the transfer of the mixed substance (insulating liquid, adhesive liquid, pre-dispersed liquid, slurry, etc.), the processor performs at least one of the following changes: a status change of the transfer piping image of the equipment operating unit and a status change of the transfer piping image of the mixer model device.
[0132] Upon receiving the first user behavior information, the processor determines whether the received first user behavior information corresponds to the predetermined operating conditions of the mixer model device, and if it determines that the first user behavior information corresponds to the predetermined operating conditions of the mixer model device, the operation of the mixer model device may be permitted.
[0133] According to one embodiment, the processor can determine one or more quality parameters for determining the quality of the substance generated by the mixer model apparatus, and during the execution of the mixer model apparatus's operation, calculate values corresponding to the determined one or more quality parameters based on the executed operation of the mixer model apparatus. Furthermore, the processor can generate known state information of the mixer model apparatus and quality information associated with the quality of the substance generated by the mixer model apparatus based on the calculated values corresponding to the one or more quality parameters.
[0134] According to one embodiment, the processor can determine one or more troubleshooting scenarios associated with malfunctions of the mixer model device, and based on the determined troubleshooting scenario, change at least one of the following: the operating state of the mixer model device, quality information associated with the quality of the material, and the operating state of the equipment operating unit. For example, the multiple troubleshooting scenarios may include valve alarm scenarios, overflow scenarios, binder liquid exchange scenarios, slurry transfer scenarios, active substance exchange scenarios, setpoint check scenarios, main mixer overheating scenarios, piping blockage scenarios, etc. If a troubleshooting scenario is executed, the image or color of a portion of the equipment operating unit or the mixer model device may be changed depending on the scenario.
[0135] After executing a troubleshooting scenario, the processor can receive at least one of the following: second user behavior information and second user condition information, used to resolve the troubleshooting scenario. Based on the received second user behavior information and second user condition information, the processor corrects the modified operating state of the mixer simulation device and the quality information associated with the quality of the substance. Furthermore, during the execution of the corrected operation of the mixer model device, the processor can calculate the values corresponding to multiple quality parameters associated with the quality of the substance generated by the mixer model device based on the executed operation of the mixer model device. In this case, the processor can correct the quality information associated with the corrected quality of the substance generated by the mixer model device based on the calculated values corresponding to the multiple quality parameters, and use the corrected quality information to determine whether one or more troubleshooting scenarios have been resolved.
[0136] That is, if a troubleshooting scenario is executed, the user can operate the adjustment parameters of the device operation unit or operate the operation buttons based on the guidance information displayed on the manual display unit. The processor can obtain second user condition information based on the user's operation of the adjustment parameters and second user behavior information based on the user's operation of the operation buttons to determine whether the troubleshooting scenario has been resolved.
[0137] Figure 11An exemplary computing device 1100 is shown for performing the methods and / or embodiments described above. According to one embodiment, the computing device 1100 may be implemented using hardware and / or software configured to interact with a user. The computing device 1100 may include the aforementioned simulation device (…). Figure 1 (1100). For example, computing device 1100 can be configured to support virtual reality (VR), augmented reality (AR), or mixed reality (MR) environments, but is not limited thereto. Computing device 1100 may include laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, etc., but is not limited thereto. The constituent elements of computing device 1100, 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.
[0138] The computing device 1100 includes a processor 1110, a memory 1120, a storage device 1130, a communication device 1140, a high-speed interface 1150 connected to a high-speed expansion port, and a low-speed interface 1160 connected to a low-speed bus and storage device. These components (1110, 1120, 1130, 1140, 1150, and 1160) can be interconnected using various buses and can be mounted on the same mainboard or otherwise appropriately mounted and connected. The processor 1110 can perform basic arithmetic, logical, and input / output operations to process computer program instructions. For example, the processor 1110 can process instructions stored in the memory 1120, storage device 1130, etc., and / or instructions executed within the computing device 1100, and display graphical information on an external input / output device 1170, such as a display device, coupled to the high-speed interface 1150.
[0139] The communication device 1140 can provide a structure or function via a network for enabling communication between the input / output device 1170 and the computing device 1100, and can also provide a structure or function for supporting communication between the input / output device 1170 and / or the computing device 1100 and other external devices. For example, under the control of the communication device 1140, requests or data generated by the processor of an external device according to arbitrary program code can be transmitted to the computing device 1100 via the network. Conversely, control signals or instructions provided under the control of the processor 1110 of the computing device 1100 can be transmitted to other external devices via the communication device 1140 and the network 1120.
[0140] exist Figure 11 Although the computing device 1100 is shown as including a processor 1110, a memory 1120, etc., it is not limited to this; the computing device 1100 can be implemented using multiple memories, multiple processors, and / or multiple buses, etc. Furthermore, in Figure 11 Although it is described as having one computing device 1100, it is not limited to this. Multiple computing devices can interact and perform work for performing the above methods.
[0141] The memory 1120 can store information within the computing device 1100. According to one embodiment, the memory 1120 may be composed of volatile memory cells or multiple memory cells. Alternatively or additionally, the memory 1120 may be composed of non-volatile memory cells or multiple memory cells. Furthermore, the memory 1120 may include other forms of computer-readable media 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 1120.
[0142] Storage device 1130 can be one or more high-capacity storage devices for storing data for computing device 1100. For example, storage device 1130 can be a computer-readable medium including, or comprising, semiconductor storage devices such as hard disks, magnetic discs (e.g., portable hard disks), 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.
[0143] High-speed interface 1150 and low-speed interface 1160 can be means of interacting with input / output device 1170. For example, input devices may include devices such as cameras, keyboards, microphones, and mice containing audio and / or image sensors, and output devices may include devices such as displays, speakers, and haptic feedback devices. In other examples, high-speed interface 1150 and low-speed interface 1160 may be units for interfacing with devices that integrate input and output structures or functions, such as touchscreens.
[0144] According to one embodiment, high-speed interface 1150 manages bandwidth-intensive operations of computing device 1100, while low-speed interface 1160 manages bandwidth-intensive operations less than those of high-speed interface 1150. This functional allocation is merely illustrative. According to one embodiment, high-speed interface 1150 can be combined with a high-speed expansion port, which can accommodate memory 1120, input / output device 1170, and various expansion cards (not shown). Furthermore, low-speed interface 1160 can be combined with storage device 1130 and low-speed expansion port. In addition, 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 1170 or network adapters, such as keyboards, pointing devices, scanners, etc.
[0145] The computing device 1100 can be implemented in a variety of different forms. For example, the computing device 1100 can be implemented by a standard server, or by a group of such standard servers. Alternatively or additionally, the computing device 1100 can be implemented as part of a rack server system, or by a personal computer such as a laptop computer. In this case, the components from the computing device 1100 can be combined with other components within any mobile device (not shown). Such a computing device 1100 can include or communicate with more than one other computing device.
[0146] exist Figure 11 Although shown as not included in the computing device 1100 by way of input / output device 1170, it is not limited thereto and can be configured as a device with the computing device 1100. Furthermore, in Figure 11Although the high-speed interface 1150 and / or low-speed interface 1160 are shown as separate components of the processor 1110, this is not a limitation. The high-speed interface 1150 and / or low-speed interface 1160 may be included in the processor.
[0147] 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 by a computer-readable medium and / or a computer program stored on a computer-readable medium. The computer program described above can be a compiled or analyzed language defined as an arbitrary programming language, and can be distributed as an independently executable program, module, subroutine, or any other form. The computer program can be distributed via a single computing device, multiple computing devices connected via the same network, and / or multiple computing devices distributed via multiple different network connections.
[0148] The methods and / or various embodiments described above can be executed by one or more processors, which perform operations or generate output data based on input data, thereby executing one or more computer programs that 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 by dedicated logic circuits such as FPGAs or ASICs.
[0149] 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, 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.
[0150] According to one embodiment, a computing device can send and receive data with one or more mass storage devices for storing data. For example, the computing device can receive data from a magnetic disc or optical disc, and / or transfer data to a magnetic disc or optical disc. Computer-readable media suitable for storing instructions and / or data associated with computer programs may include, but are not limited to, 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.
[0151] 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.
[0152] 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 through 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.
[0153] The computing device based on the exemplary embodiments described in this specification 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 PDAs (Personal Digital Assistants), tablet PCs, game consoles, wearable devices, IoT (Internet of Things) devices, VR (virtual reality) devices, AR (augmented reality) devices, etc., but is not limited thereto. 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 suitable for wireless communication via networks such as mobile communication networks (e.g., telephones, smartphones, wireless cellular phones, etc.). The computing device can wirelessly communicate with a network server using wireless communication technologies and / or protocols such as radio frequency (RF), microwave frequency (MWF), and / or infrared ray frequency (IRF).
[0154] 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.
[0155] 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.
[0156] 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 mixer simulation device for producing secondary batteries, comprising: The memory is configured to store at least one instruction; as well as At least one processor is configured to execute the at least one instruction stored in the memory. The at least one instruction includes instructions for performing the following operations: The apparatus working section includes a mixer model unit associated with the production of secondary batteries; An equipment operation unit is executed, which includes multiple adjustment parameters and quality information. The multiple adjustment parameters are used to determine the operation of the mixer model device, and the quality information is related to the quality of the substance produced by the mixer model device. Obtain at least one of first user condition information and first user behavior information input through at least one of the equipment operation unit and the mixer model device; The operation of the mixer model device is determined based on at least one of the obtained first user condition information and first user behavior information; Based on the determined work, the work of metering, mixing and transferring multiple raw materials associated with the mixer model device is performed; Perform at least one troubleshooting scenario, which includes at least one of the following scenarios: valve alarm scenario, overflow scenario, binder liquid exchange scenario, slurry transfer scenario, active substance exchange scenario, set value check scenario, main mixer overheating scenario, and piping blockage scenario. Based on the troubleshooting scenario implemented, at least a portion of the area of the mixer model device and the equipment operating unit will be changed to an abnormal range; The system obtains at least one of the following: second user behavior information (information on touching or dragging at least a portion of the mixer model device) and second user condition information (information on changing one of the plurality of adjustment parameters of the device's operating unit); Based on at least one of the obtained second user behavior information and second user condition information, at least one of the operation of the mixer model device that has changed to the abnormal range and the quality information of the substance is corrected to the normal range. Calculate the value of each of one or more quality parameters associated with the quality of the substance produced by the calibrated mixer model device; as well as The quality information associated with the quality of the substance produced by the corrected mixer model device is corrected based on the value corresponding to each of the calculated one or more quality parameters.
2. The mixer simulation device for producing secondary batteries according to claim 1, wherein, The at least one instruction further includes instructions for performing the following operations: Execute a training scenario based on the operation process of the aforementioned mixer model device; and Based on the training scenario, display guidance information for the operation of the equipment's operating unit.
3. The mixer simulation device for producing secondary batteries according to claim 2, wherein, The training scenarios include at least one of the following: raw material name and setting value input training, insulating liquid setting training, adhesive liquid setting training, pre-dispersion liquid setting training, slurry setting training, tank cleaning training, and troubleshooting training.
4. The mixer simulation device for producing secondary batteries according to claim 3, wherein, The insulating liquid setting training includes at least one of the following: semi-automatic insulating liquid setting details training, semi-automatic insulating liquid mixing details training, automatic insulating liquid mixing details training, and insulating liquid transfer details training.
5. The mixer simulation device for producing secondary batteries according to claim 3, wherein, The adhesive setting training includes at least one of the following: adhesive semi-automatic setting detail training, adhesive semi-automatic mixing detail training, adhesive automatic mixing detail training, and adhesive transfer detail training.
6. The mixer simulation device for producing secondary batteries according to claim 3, wherein, The pre-dispersion setting training includes at least one of the following: pre-dispersion semi-automatic setting detail training, pre-dispersion semi-automatic mixing detail training, pre-dispersion automatic mixing detail training, and pre-dispersion transfer detail training.
7. The mixer simulation device for producing secondary batteries according to claim 3, wherein, The slurry setting training includes at least one of the following: slurry semi-automatic setting detail training, slurry semi-automatic mixing detail training, slurry mixing detail training, and slurry transfer detail training.
8. The mixer simulation device for producing secondary batteries according to claim 3, wherein, The tank cleaning training includes at least one of the following: setpoint input detail training and semi-automatic cleaning detail training.
9. A method for simulating a mixer in the production of secondary batteries, the method being executed by at least one processor, the method comprising the following steps: The apparatus working section includes a mixer model unit associated with the production of secondary batteries; An equipment operation unit is executed, which includes multiple adjustment parameters and quality information. The multiple adjustment parameters are used to determine the operation of the mixer model device, and the quality information is related to the quality of the substance produced by the mixer model device. Obtain at least one of first user condition information and first user behavior information input through at least one of the equipment operation unit and the mixer model device; The operation of the mixer model device is determined based on at least one of the obtained first user condition information and first user behavior information; Based on the determined work, the work of metering, mixing and transferring multiple raw materials associated with the mixer model device is performed; Perform at least one troubleshooting scenario, which includes at least one of the following scenarios: valve alarm scenario, overflow scenario, binder liquid exchange scenario, slurry transfer scenario, active substance exchange scenario, set value check scenario, main mixer overheating scenario, and piping blockage scenario. Based on the troubleshooting scenario implemented, at least a portion of the area of the mixer model device and the equipment operating unit will be changed to an abnormal range; The system obtains at least one of the following: second user behavior information (information on touching or dragging at least a portion of the mixer model device) and second user condition information (information on changing one of the plurality of adjustment parameters of the device's operating unit); Based on at least one of the obtained second user behavior information and second user condition information, at least one of the operation of the mixer model device that has changed to the abnormal range and the quality information of the substance is corrected to the normal range. Calculate the value of each of one or more quality parameters associated with the quality of the substance produced by the calibrated mixer model device; as well as The quality information associated with the quality of the substance produced by the corrected mixer model device is corrected based on the value corresponding to each of the calculated one or more quality parameters.
10. The mixer simulation method for producing secondary batteries according to claim 9, wherein, It also includes the following steps: Execute a training scenario based on the operation process of the aforementioned mixer model device; as well as Based on the training scenario, display guidance information for the operation of the equipment's operating unit.
11. The stirrer simulation method for producing secondary batteries according to claim 10, wherein, The training scenarios include at least one of the following: raw material name and setting value input training, insulating liquid setting training, adhesive liquid setting training, pre-dispersion liquid setting training, slurry setting training, tank cleaning training, and troubleshooting training.
12. The stirrer simulation method for producing secondary batteries according to claim 11, wherein, The insulating liquid setting training includes at least one of the following: semi-automatic insulating liquid setting details training, semi-automatic insulating liquid mixing details training, automatic insulating liquid mixing details training, and insulating liquid transfer details training.
13. The stirrer simulation method for producing secondary batteries according to claim 11, wherein, The adhesive setting training includes at least one of the following: adhesive semi-automatic setting detail training, adhesive semi-automatic mixing detail training, adhesive automatic mixing detail training, and adhesive transfer detail training.
14. The stirrer simulation method for producing secondary batteries according to claim 11, wherein, The pre-dispersion setting training includes at least one of the following: pre-dispersion semi-automatic setting detail training, pre-dispersion semi-automatic mixing detail training, pre-dispersion automatic mixing detail training, and pre-dispersion transfer detail training.
15. The mixer simulation method for producing secondary batteries according to claim 11, wherein, The slurry setting training includes at least one of the following: slurry semi-automatic setting detail training, slurry semi-automatic mixing detail training, slurry mixing detail training, and slurry transfer detail training.
16. The mixer simulation method for producing secondary batteries according to claim 11, wherein, The tank cleaning training includes at least one of the following: setpoint input detail training and semi-automatic cleaning detail training.
17. A computer program product stored on a computer-readable medium for performing the method according to any one of claims 9 to 16 in a computer.