Equipment migration support device and equipment migration support method

Abstract

To provide a facility transition support system and facility transition support method capable of properly supporting transition of a production facility.SOLUTION: A facility transition support method of supporting transition of a production facility creates learning data 19 on the basis of information on a component, first information to be used in a production facility (model AB) from which transition is made, and second information to be used in a production facility to which the transition is made (model C) (ST1), produces a learning model 20 on the basis of the learning data 19 (ST2), and uses the produced learning model 20 to create second information, which is used in the production facility to which the transition is made, on the basis of the information on the component and the first information to be used in the production facility from which the transition is made (ST4).SELECTED DRAWING: Figure 4

Description

[Technical field]

[0001] The present invention relates to a facility transfer support device and a facility transfer support method for supporting the transfer of production facilities. [Background technology]

[0002] In a component mounting device, which is a production facility that mounts components on a board, component mounting operations are controlled based on component data including information about the shape of the components and operation parameters related to component pickup by a nozzle, component shape recognition, and component mounting on a board. This component data is created for each component, and when changing the model of the production facility, component data that is compatible with the new model is created (for example, see Patent Document 1). Patent Document 1 describes a system that automatically generates component data from information about the shape of the components and the specifications of the new model. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2018 / 146818 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in conventional technologies including Patent Document 1, component data is corrected according to individual differences between devices even for the same model to improve production stability and mounting accuracy, so there is no guarantee that component data automatically generated from the specifications of the production equipment is optimal. Also, there are various situations when transferring production equipment, such as updating production equipment to a new model and changing to the same model at another factory, and there is room for further improvement in order to appropriately support the transfer of production equipment in response to various cases.

[0005] Therefore, an object of the present invention is to provide an equipment transfer support device and an equipment transfer support method that can appropriately support the transfer of production equipment. [Means for solving the problem]

[0006] The equipment transfer support device of the present invention is an equipment transfer support device that supports the transfer of production equipment, and includes: information on parts; images of the parts captured by a camera of the production equipment before the transfer; The model of the production equipment before the transition is different from that of the equipment before the transition. A learning data creation unit that creates learning data based on images of the parts captured by a camera of the production equipment after the transition, a learning unit that generates a learning model based on the learning data, and a learning unit that uses the generated learning model to calculate the model based on information about the parts and operation parameters of the production equipment used in the production equipment before the transition. The model of the production equipment before the transition is different from that of the equipment before the transition. and an information creation unit that creates operating parameters of the production equipment to be used in the production equipment after the transfer.

[0007] The equipment transfer support method of the present invention is an equipment transfer support method for supporting the transfer of production equipment, comprising: The model of the production equipment before the transition is different from that of the equipment before the transition. Based on an image of the part captured by a camera of the production equipment after the transition, learning data is created, a learning model is generated based on the learning data, and a learning model is generated from information on the part and an operation parameter of the production equipment used in the production equipment before the transition using the generated learning model. The model of the production equipment before the transition is different from that of the equipment before the transition. and creating operational parameters of the production facility to be used in the post-transition production facility. Effect of the Invention

[0008] According to the present invention, it is possible to appropriately support the transfer of production facilities. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a configuration explanatory diagram of a component mounting system according to an embodiment of the present invention; [Diagram 2] FIG. 1 is a block diagram showing the configuration of an information processing system of a management computer (facility migration support device) according to an embodiment of the present invention. [Diagram 3] FIG. 1 is a diagram illustrating the configuration of component data used in a component mounting system according to an embodiment of the present invention; [Figure 4] FIG. 1 is an explanatory diagram of a first embodiment of an equipment migration support method according to the present invention; [Diagram 5] FIG. 2 is an explanatory diagram of a second embodiment of the facility migration support method according to the present invention; [Figure 6] FIG. 3 is an explanatory diagram of a third embodiment of the facility migration support method according to the present invention; DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] An embodiment of the present invention will be described with reference to the drawings. First, the configuration of a component mounting system 1 will be described with reference to FIG. 1. The component mounting system 1 has a function of mounting components on a board to produce a mounted board. In this embodiment, a plurality of (three in this case) component mounting lines 4A-4C are connected to a management computer 3 via a communication network 2. Work in each of the component mounting lines 4A-4C is managed by the management computer 3. The number of component mounting lines 4A-4C is not limited to three, and may be one, two, or four or more.

[0011] The management computer 3 has a function of creating data and parameters necessary for the operation of the production equipment of each of the component mounting lines 4A to 4C, and transmitting them to each of the production equipment. In addition, data such as operation status, work history, and image data is transmitted from each of the production equipment to the management computer 3. In addition, the management computer 3 has a function of creating operation parameters, component data, production data, image data, and the like used by the production equipment of the component mounting lines 4A to 4C. Note that the component mounting system 1 may include a line management computer for each of the component mounting lines 4A to 4C, and data may be transmitted and received between the management computer 3 and each of the production equipment via the line management computer.

[0012] In FIG. 1, component mounting lines 4A to 4C have the same configuration, and here, component mounting line 4A will be described. Component mounting line 4A is configured by connecting board supply device M1, board transfer device M2, solder printing device M3, component mounting devices M4A and M5A, reflow device M6, and board removal device M7. Boards supplied from board supply device M1 are carried into solder printing device M3 via board transfer device M2. Solder printing device M3 performs a solder printing operation to screen-print solder for component bonding on the board. After solder printing, the boards are sequentially delivered to component mounting devices M4A and M5A. Component mounting devices M4A and M5A perform a component mounting operation to mount components on the boards after solder printing.

[0013] The component mounting devices M4A and M5A use a nozzle on the mounting head to vacuum pick up the components supplied by the feeder, take an image of the state of the components held by the nozzle with a component recognition camera, and mount the components at the mounting position on the board at a specified mounting angle. The component mounting devices M4A and M5A are also equipped with multiple sensors to monitor operational mistakes and operational errors during component mounting operations, such as the suction operation in which the nozzle picks up the components and the component recognition operation in which the component recognition camera takes an image of the picked-up components and recognizes them. The component mounting devices M4A and M5A are also equipped with a head camera, which takes an image of the components supplied by the feeder after component replenishment, and performs confirmation of the supplied components, etc. The image of the components taken by the head camera is sent to the management computer 3.

[0014] After the components are mounted on the board, it is carried into the reflow device M6. The reflow device M6 heats the board according to a specified heating profile, melting and solidifying the solder used to join the components. This solders the components to the board, completing the mounting of the board with the components mounted on it. The mounted board is then collected by the board collection device M7.

[0015] 1, component mounting line 4B is equipped with component mounting devices M4B and M5B. Component mounting line 4C is equipped with component mounting devices M4C and M5C. In this example, component mounting devices M4A and M5A of component mounting line 4A and component mounting devices M4B and M5B of component mounting line 4B are the same model (hereinafter referred to as "model AB"). Moreover, component mounting devices M4C and M5C of component mounting line 4C are a different model from model AB (hereinafter referred to as "model C").

[0016] Hereinafter, unless there is a need to distinguish between them, the component mounting devices M4A, M5A, M4B, M5B, M4C, M5C will be simply referred to as "component mounting device M45." Note that the multiple component mounting devices M45 provided in each of the component mounting lines 4A to 4C do not need to be the same model. For example, the component mounting line 4B may be configured such that the component mounting device M4B is model AB and the component mounting device M5B is model C.

[0017] 1, component mounting system 1 includes, as production equipment, offline camera device 5 that is not connected to component mounting lines 4A-4C. Offline camera device 5 includes an offline camera having the same function as the head camera included in component mounting device M45. In offline camera device 5, prior to the production of a mounted board, an image of new components to be mounted on the board is captured by the offline camera. The image captured by the offline camera is transmitted to management computer 3 and used to create various information used in the production equipment of component mounting lines 4A-4C.

[0018] Next, the configuration of the information processing system of the management computer 3 will be described with reference to Fig. 2. Here, the configuration related to the function of supporting equipment migration to change the model of production equipment such as the component mounting device M45 will be described among the multiple functions provided in the management computer 3. That is, the management computer 3 (equipment migration support device) has a function of creating post-migration operating parameters or component images based on component information, operating parameters, or component images that have been used in production in the component mounting lines 4A to 4C.

[0019] The management computer 3 includes a processing unit 10, a storage unit 15 as a storage device, an input unit 23, a display unit 24, and a communication unit 25. The processing unit 10 is a data processing device such as a CPU, and includes a learning data creation unit 11, a learning unit 12, an input data creation unit 13, and an information creation unit 14 as internal processing units. The management computer 3 does not need to be configured as a single computer, and may be configured as a plurality of devices. For example, all or part of the storage unit and processing unit may be provided in a cloud via a server.

[0020] The input unit 23 is an input device such as a keyboard, a touch panel, a mouse, etc., and is used when inputting operation commands and data. The display unit 24 is a display device such as a liquid crystal panel, and in addition to displaying various data stored in the storage unit 15, displays various information such as an operation screen and an input screen for operation by the input unit 23. The communication unit 25 is a communication interface, and transmits and receives data between the production equipment (component mounting device M45) constituting the component mounting lines 4A to 4C and the offline camera device 5 via the communication network 2.

[0021] 2, the storage unit 15 stores a production data library 16, a component library 17, image data 18, learning data 19, a learning model 20, input data 21, output data 22, etc. The production data library 16 stores production data used in the production of mounted boards by the component mounting device M45 for each production model name of the mounted board. The production data specifies, for each component to be mounted, the name of the component to be mounted on the mounted board, a component code for associating the component with component data in the component library 17, the mounting position and mounting angle of the component on the mounted board, etc.

[0022] 2, component library 17 stores a plurality of component data items that associate the type of component with operation parameters for precisely controlling various operations for mounting the component in component mounting device M45. The component data items are associated with production data in production data library 16 by component codes. That is, even for components with the same component name, component library 17 stores different component data items that correspond to the production model name and mounting position of the mounted board to be produced, and the model of component mounting device M45.

[0023] An example of part data 30 included in the part library 17 will now be described with reference to Fig. 3. The part data 30 is associated with the production data by a "part code" 31 included in the part data 30 and a part code included in the production data. The part data 30 is made up of part information 32 and operation parameters 33. Furthermore, the part information 32 is made up of a shape diagram 34, size data 35, and part parameters 36.

[0024] Images, numbers, terms, etc. are entered in the blank spaces for each item. Note that "numbers" as used here are not limited to numerical data, but also include the selection results of options expressed quantitatively and qualitatively, such as yes / no, cheap / expensive, high / medium / low speed, etc. The shape diagram 34 illustrates the external shape of the target part. The size data 35 shows size information of the part in question, i.e., external dimensions, number of leads, lead pitch, lead length, lead width, part height, etc., as numerical data.

[0025] 3, part parameters 36 are attribute information about the part, and include part attributes 37, which are information about the part itself, and tape information 38, which is information about the carrier tape for feeding the part by a feeder. The part attributes 37 indicate the polarity, polarity mark, mark position, part type, shape type, and price information of the part. The tape information 38 includes the tape material of the carrier tape, the tape width indicating the width dimension of the carrier tape, the feed interval indicating the tape feed pitch, and color and material information, which is information related to the characteristics when the carrier tape is the subject of image recognition.

[0026] The operation parameters 33 are machine parameters that define the operation mode when the component is the target of component mounting work by the component mounting device M45. In the example shown here, the operation parameters 33 include a model 33a (model AB, model C) that indicates the type of the component mounting device M45, and a nozzle setting 33b that indicates the type of nozzle to be used. Furthermore, the operation parameters 33 include a speed parameter 33c, recognition 33d, gap 33e, suction 33f, placement 33g, etc.

[0027] In Fig. 3, the speed parameters 33c include the pickup speed when the nozzle picks up the components, the mounting speed when the mounting head transports the components, and the tape feed speed when the feeder feeds the carrier tape. The recognition parameters 33d are parameters that define the manner of component recognition, and include the camera type indicating the type of component recognition camera used, the lighting mode indicating the lighting form when capturing images, and the recognition speed that is the nozzle movement speed when capturing images. The recognition speed can be set to high speed, medium speed, or low speed. Note that the speed-related parameters may be numerical values ​​(1 to 100%) or options (high speed, medium speed, low speed, etc.).

[0028] Gap 33e includes the suction gap when the nozzle picks up a component and the mounting gap when the held component is mounted on the board. Suction 33f specifies the pickup position offset, which indicates the offset amount when the nozzle picks up a component, and the pickup angle. Placement 33g specifies the pressure load when the nozzle places the held component on the board.

[0029] In this way, the operation parameters 33 include nozzle parameters (nozzle settings 33b) related to the nozzle that picks up the component, pickup parameters related to pickup when the nozzle picks up the component (pickup speed, pickup gap, pickup 33f), recognition parameters (recognition 33d) for recognizing the shape of the component, mounting parameters for mounting the component (mounting speed, mounting gap, placement 33g), etc. Note that the component parameters 36 and operation parameters 33 shown in the component data 30 in Fig. 3 are examples of the relevant items, and various parameters other than the items shown here are set as necessary.

[0030] For example, these include the pickup hold time, which is the time the nozzle is in contact with the component when picking up a component; the mounting hold time, which is the time the component is in contact with the board when mounting it on the board; the component recognition count, which is the number of times a component is recognized by the recognition camera; pickup check ON / OFF, which determines whether a check is performed to see if a component has been picked up; thickness variation tolerance, which sets the tolerance when measuring component thickness; component pickup status detection ON / OFF, which determines whether the component pickup status is detected; simultaneous component pickup and mounting ON / OFF, which determines whether components are picked up or mounted simultaneously; component pickup position automatic learning ON / OFF, which determines whether the component pickup position is automatically set; the component pickup retries, which determines whether pickup is attempted again when pickup fails; and the recognition retries, which determines whether recognition is attempted again when a component cannot be recognized.

[0031] 2, image data 18 stores a plurality of pieces of image information in which images of components captured by the offline camera of offline camera device 5 and the head camera of component mounting device M45 are associated with information for identifying the images, such as the component name, the device that captured the image, and the image capture date and time. Learning data creation unit 11 creates learning data 19, which will be described later, based on component data 30 stored in component library 17 and the image information stored in image data 18. The created learning data 19 is stored in storage unit 15.

[0032] The learning unit 12 uses the learning data 19 as teacher data to generate a learning model 20 (described later) by a learning algorithm using machine learning or the like. As the learning algorithm, a neural network (including deep learning using a multi-layered neural network), genetic programming, a decision tree, a Bayesian network, a support vector machine (SVM), or the like may be used. The generated learning model 20 is stored in the storage unit 15.

[0033] 2, an input data creation unit 13 creates input data 21 (described later) for an information creation unit 14 to create (estimate) output data 22 (described later) using a learning model 20. The created input data 21 and output data 22 are stored in a storage unit 15.

[0034] Next, a first embodiment of an equipment migration support method for supporting the migration of production equipment by an equipment migration support device (management computer 3) will be described with reference to Fig. 4. Here, an example will be described in which the production equipment before migration is a component mounting device M45 of model AB, the production equipment after migration is a component mounting device M45 of model C, and the post-migration operating parameters 33 are created (estimated) using machine learning.

[0035] 4, first, learning data creation unit 11 creates learning data 19 based on component data 30 of the same component that has a history of being used in both model AB and model C, among component data 30 that is included in component library 17 and has a history of being used in production (ST1: learning data creation step). In FIG. 4, components with component names "E" and "F" have a history of being mounted on boards for both model AB and model C. Hereinafter, the component with component name "E" will be referred to as "component E", etc.

[0036] The learning data creation unit 11 creates multiple pieces of teacher data (e.g., 1000 pieces) in which common part information 32 for the same part in the part data 30, operation parameters 33 for models AB, and operation parameters 33 for model C are associated with each other, and stores the data as learning data 19. That is, the learning data creation unit 11 creates the learning data 19 based on the part information (part information 32), first information (operation parameters 33 for models AB) used in the production equipment before the transfer (model AB), and second information (operation parameters 33 for model C) used in the production equipment after the transfer (model C).

[0037] 4, teacher data in which the part information 32 of part E is associated with the operation parameters 33 for model AB and the operation parameters 33 for model C is created as learning data 19. Also, teacher data in which the part information 32 of part F is associated with the operation parameters 33 for model AB and the operation parameters 33 for model C is created as learning data 19.

[0038] 4, next, the learning unit 12 generates a learning model 20 by machine learning based on the created learning data 19 (ST2: learning model generation step). The created learning model 20 is stored in the storage unit 15. In addition, the input data creation unit 13 creates input data 21 based on the part data 30 of a part that has been used in model AB but has not been used in model C and is scheduled to be transferred to model C, among the part data 30 included in the part library 17 (ST3: input data creation step).

[0039] 4, part G corresponds to a part that has a history of use in model AB, but has no history of use in model C. In other words, part library 17 does not include part data 30 for mounting part G in model C, and part G is a part that is scheduled to be transferred to model C. Therefore, input data creation unit 13 creates input data 21 that associates part information 32 of part G with operation parameters 33 for model AB based on part data 30 for mounting part G in model AB, and stores the input data in storage unit 15.

[0040] 4, the information creation unit 14 then creates (estimates) operation parameters 33 of the parts to be migrated to model C using the learning model 20 based on the input data 21 (ST4: information creation step). Furthermore, the information creation unit 14 creates part data 30 from the part information 32 of the input data 21 and the created post-migration operation parameters 33, and stores the part data 30 in the storage unit 15 as output data 22. In FIG. 4, the information creation unit 14 creates operation parameters 33 for model C using the learning model 20 from the part information 32 of part G and operation parameters 33 for model AB (input data 21), and creates part data 30 (output data 22) from the part information 32 of part G and the created operation parameters 33 for model C.

[0041] In this way, the information creation unit 14 uses the generated learning model 20 to create second information (operation parameters 33 for model C) to be used in the post-migration production equipment (model C) from the part information (part information 32) and the first information (operation parameters 33 for model AB) to be used in the pre-migration production equipment (model AB). In other words, the learning model 20 is a calculation formula or a calculation method for creating (estimating) the second information from the part information and the first information. In this embodiment, the pre-migration production equipment (model AB) and the post-migration production equipment (model C) are component mounting devices M45 that mount components on a board, and the first information and the second information include the operation parameters 33 of the production equipment. This makes it possible to appropriately support the migration of the production equipment.

[0042] In the first example of the equipment migration support method of this embodiment, the production equipment before migration and the production equipment after migration may be the same model. Even if the model is the same, different operation parameters 33 may be used depending on the number of years of use of the equipment, the location where it is installed, and the presence or absence of options. Therefore, the migration of the production equipment may be between an old equipment (e.g., model AB) before migration and a new equipment (model AB) after migration.

[0043] The transfer of production equipment may be a transfer between factories. Furthermore, the format of the operation parameters 33 may be different between the production equipment before the transfer and the production equipment after the transfer. In this case, the learning unit 12 may learn including the difference in format, and generate a learning model 20 that creates the post-transfer operation parameters 33 in a predetermined format. Furthermore, the learning data creation unit 11 may create learning data 19 in which the difference in format is converted.

[0044] Next, a second embodiment of the equipment migration support method will be described with reference to Fig. 5. Here, an example will be described in which the production equipment before migration is a component mounting device M45 of model AB, and the production equipment after migration is a component mounting device M45 of model C, and machine learning is used to create (estimate) images of components after migration. Hereinafter, the same steps as those in the first embodiment of the equipment migration support method described in Fig. 4 are given the same reference numerals, and detailed descriptions will be omitted.

[0045] First, in a learning data creation step (ST1), the learning data creation unit 11 creates learning data 19 based on image information of parts of the same part type captured by the head camera of model AB and the head camera of model C, which is included in image data 18. Specifically, the learning data creation unit 11 creates a plurality of pieces of teacher data (e.g., 1000 pieces) in which part information 32, image information from model AB, and image information from model C are associated with each other. In FIG. 5, image information of parts E and F captured by model AB and model C is included in image data 18. Thus, teacher data is created for parts E and F in which image information from model AB and image information from model C are associated with part information 32.

[0046] 5, next, in a learning model creation step (ST2), the learning unit 12 generates a learning model 20 by machine learning based on the created learning data 19. Also, in an input data creation step (ST3), the input data creation unit 13 creates input data 21 based on imaging information of a part included in image data 18 that has been imaged with model AB but has not been imaged with model C and is scheduled to be transferred to model C. In FIG. 5, the input data 21 is created in which part information 32 of part G is associated with an image captured with model AB.

[0047] Next, in an information creation step (ST4), the information creation unit 14 creates (estimates) captured images of the parts to be transferred to model C using the learning model 20 based on the input data 21. Furthermore, the information creation unit 14 creates image information from the part information 32 of the input data 21 and the created captured images after transfer, and stores the image information in the storage unit 15 as output data 22. In FIG. 5, the information creation unit 14 creates (estimates) an image captured by model C using the learning model 20 from the part information 32 of part G and the captured images by model AB, and creates image information from the part information 32 of part G and the captured images by the created model.

[0048] From the created captured image, recognition parameters (recognition 33d) for recognizing the shape of a part included in part data 30 of part G to be used in model C after the transfer are created. Note that the learning data creation unit 11 may create learning data 19 including the recognition parameters included in part data 30 in addition to image information of the part, the learning unit 12 may generate a learning model 20 that creates (estimates) the recognition parameters in addition to the captured image of the part, and the information creation unit 14 may create the recognition parameters in addition to image information of the part after the transfer.

[0049] Thus, in the second embodiment of the equipment migration support method, the pre-migration production equipment (model AB) and the post-migration production equipment (model C) are each equipped with a camera (head camera), the first information is an image (captured image) of the part captured by the camera of the pre-migration production equipment, and the second information is an image (captured image) of the part captured by the camera of the post-migration production equipment. This makes it possible to appropriately support the migration of the production equipment.

[0050] The production equipment before and after the transfer may be of the same model. For example, the production equipment may be updated (transferred) between the same models. Also, from an image (first information) captured by component mounting device M4A (model AB) on component mounting line 4A, a captured image (second information) estimated to be obtained by capturing an image by downstream component mounting device M5A (model AB) may be created.

[0051] Next, a third embodiment of the equipment migration support method will be described with reference to Fig. 6. Here, an example will be described in which the production equipment before migration is offline camera device 5, the production equipment after migration is component mounting device M45 of model C, and images of components after migration are created (estimated) using machine learning. The third embodiment of the equipment migration support method differs from the second embodiment of the equipment migration support method described in Fig. 5 in that the production equipment before migration is offline camera device 5, and the first information is an image of the component captured by the offline camera of offline camera device 5 (captured image). A detailed description will be omitted below.

[0052] In the third embodiment, an image (second information) that is estimated to be obtained by imaging a new component in the component mounting device M45 is created (estimated) from existing imaging information (first information, second information) by the offline camera device 5 and the component mounting device M45 and an image (first information) of a new component captured by the offline camera device 5. This makes it possible to estimate an image of the new component captured by the component mounting device M45 without stopping production in the component mounting lines 4A to 4C, and thus makes it possible to appropriately support the transition of production facilities.

[0053] As described above, the management computer 3 of this embodiment is an equipment migration support device that supports the migration of production equipment, and includes a learning data creation unit 11 that creates learning data 19 based on part information (part information 32), first information (operation parameters 33, captured images) used in the production equipment before the migration, and second information (operation parameters 33, captured images) used in the production equipment after the migration, a learning unit 12 that generates a learning model 20 based on the learning data 19, and an information creation unit 14 that uses the generated learning model 20 to create the second information to be used in the production equipment after the migration from the part information and the first information used in the production equipment before the migration.

[0054] In this way, by creating a learning model 20 corresponding to the production equipment before and after the transition, and using the compatible learning model 20 to create second information after the transition (operation parameters 33, captured images), it is possible to appropriately support the transition of production equipment. [Industrial Applicability]

[0055] INDUSTRIAL APPLICABILITY The facility transfer assistance device and facility transfer assistance method of the present invention have the effect of being able to appropriately assist the transfer of production facilities, and are useful in the field of mounting components on boards. [Explanation of symbols]

[0056] 3 Management computer (equipment migration support device) 5. Offline camera equipment (production equipment) M4A, M4B, M4C, M5A, M5B, M5C Component mounting equipment (production equipment)

Claims

1. An equipment transfer support device that supports the transfer of production equipment, a learning data creation unit that creates learning data based on information about the parts, images of the parts captured by a camera of the production equipment before the transition, and images of the parts captured by a camera of a production equipment after the transition that is a different model from the model of the production equipment before the transition; A learning unit that generates a learning model based on the learning data; an information creation unit that uses the generated learning model to create operational parameters of production equipment used in the post-migration production equipment of a model different from that of the pre-migration production equipment, from information on the parts and operational parameters of the production equipment used in the pre-migration production equipment.

2. the production equipment before the transfer and the production equipment after the transfer, which is a model different from the model of the production equipment before the transfer, are component mounting devices that mount components on a board, 2. The equipment transfer support device according to claim 1, wherein the operation parameters of the production equipment include at least any one of a nozzle parameter related to a nozzle that picks up the component, a pickup parameter related to pickup when picking up the component with the nozzle, a recognition parameter for recognizing a shape of the component, and a mounting parameter for mounting the component.

3. 2 . The equipment transfer assistance device according to claim 1 , wherein the pre-transfer production equipment is an offline camera, and the post-transfer production equipment of a model different from that of the pre-transfer production equipment is a component mounting device.

4. A method for supporting the transition of a production facility, comprising: Creating learning data based on information about the parts, images of the parts captured by a camera in the production equipment before the transition, and images of the parts captured by a camera in a production equipment after the transition that is a different model from the model of the production equipment before the transition; generating a learning model based on the learning data; an equipment migration support method including: using the generated learning model to create operational parameters of production equipment used in the post-migration production equipment, the production equipment being a different model from the pre-migration production equipment, from information on the parts and operational parameters of the production equipment used in the pre-migration production equipment.

5. The equipment transfer support method according to claim 4 , wherein the pre-transfer production equipment is an offline camera, and the post-transfer production equipment of a model different from that of the pre-transfer production equipment is a component mounting device.

6. the production equipment before the transfer and the production equipment after the transfer, which is a model different from the model of the production equipment before the transfer, are component mounting devices that mount components on a board, 5. The equipment transfer support method according to claim 4, wherein the operation parameters include at least any of a nozzle parameter related to a nozzle that picks up the component, a pickup parameter related to pickup when picking up the component with the nozzle, a recognition parameter for recognizing a shape of the component, and a mounting parameter for mounting the component.

Images