Manufacturing site management methods and manufacturing site management systems
The method and system improve manufacturing site safety by determining appropriate component placement and danger through image processing and outputting guidance, addressing risks of contact and falling injuries.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- KK TOSHIBA
- Filing Date
- 2024-10-11
- Publication Date
- 2026-04-23
AI Technical Summary
In manufacturing sites, improper storage and placement of components can lead to injuries from contact or falling, and the presence of dangerous components poses safety risks.
A method and system that utilizes image acquisition, component and worker information processing, and determination steps to identify appropriate placement and danger, outputting information to improve safety, with optional robot intervention.
Enhances safety by ensuring proper component placement, identifying dangerous components, and guiding workers and robots to avoid hazards, thereby reducing injury risks.
Smart Images

Figure 2026068892000001_ABST
Abstract
Description
Technical Field
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[0001] Embodiments of the present invention relate to a manufacturing site management method and a manufacturing site management system.
Background Art
[0002] In a manufacturing site, if the storage location and storage method of members are not appropriate, the operator may be injured by contacting the members and falling or the members may fall and contact the operator. Also, when dangerous members are placed, the operator may be injured by contacting the dangerous members. In a manufacturing site, it is required to improve safety.
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] The problem to be solved by the present invention is to provide a manufacturing site management method and a manufacturing site management system that can improve the safety of a manufacturing site.
Means for Solving the Problems
[0005] The manufacturing site management method according to the embodiment comprises an acquisition step, a determination step, and an output step. In the acquisition step, an image of the manufacturing site is acquired, and based on the image, component information regarding the state of components in the manufacturing site and worker information regarding the state of workers in the manufacturing site are acquired. In the determination step, based on the component information and worker information, it is determined whether the location of the component is appropriate, whether the way the component is placed is appropriate, and whether the component is dangerous. In the output step, information is output based on the determination result. In the output step, if it is determined that the location of the component is inappropriate, location information regarding the appropriate location of the component is output. In the output step, if it is determined that the way the component is placed is inappropriate, placement information regarding the appropriate way of placing the component is output. In the output step, if it is determined that the component is dangerous, danger information regarding the dangerousness of the component is output. [Brief explanation of the drawing]
[0006] [Figure 1] This is a block diagram schematically representing a manufacturing site management system according to an embodiment. [Figure 2] This is an explanatory diagram showing an example of an image acquired by a camera in a manufacturing site management system according to the embodiment. [Figure 3] This is a flowchart illustrating the manufacturing site management method according to the embodiment. [Figure 4] This is a flowchart showing the acquisition process of the manufacturing site management method according to the embodiment. [Figure 5] This is an explanatory diagram illustrating an example of storage location information output in a manufacturing site management method and manufacturing site management system according to an embodiment. [Figure 6] This is an explanatory diagram showing an example of placement information output in a manufacturing site management method and manufacturing site management system according to an embodiment. [Figure 7] This is an explanatory diagram showing an example of hazard information output in a manufacturing site management method and manufacturing site management system according to an embodiment. [Modes for carrying out the invention]
[0007] Each embodiment of the present invention will be described below with reference to the drawings. Drawings are schematic or conceptual, and the relationships between the thickness and width of each part, as well as the ratios of the sizes of different parts, are not necessarily identical to those of reality. Even when representing the same part, the dimensions and ratios may differ between drawings. In this specification and in each figure, elements similar to those described above are denoted by the same reference numerals with respect to previously shown figures, and detailed explanations are omitted as appropriate.
[0008] Figure 1 is a block diagram schematically representing a manufacturing site management system according to an embodiment. Figure 2 is an explanatory diagram showing an example of an image acquired by a camera in the manufacturing site management system according to this embodiment. As shown in Figure 1, the manufacturing site management system 100 according to this embodiment includes a camera 10, a control device 20, and a notification device 30. The manufacturing site management system 100 is capable of executing the manufacturing site management method described later.
[0009] Camera 10 acquires images of the manufacturing site. Camera 10 is electrically connected to the control device 20. Camera 10 outputs the acquired images to the control device 20. The images may be still images or moving images. Camera 10 includes, for example, a CCD (Charge-Coupled Device) image sensor or a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor. Camera 10 may also include a thermograph. Camera 10 may, for example, acquire still images at predetermined intervals and output them to the control device 20. Camera 10 may, for example, continuously acquire moving images and output them to the control device 20. Camera 10 may, for example, create still images from moving images and output them to the control device 20. The control device 20 may, for example, create still images from acquired moving images and perform information acquisition and judgment.
[0010] The control device 20 is capable of performing various calculations in the manufacturing site management system 100 and the manufacturing site management method. The control device 20 includes, for example, a CPU (Central Processing Unit). The control device 20 may, for example, perform all calculations in a single area, or it may be divided into multiple areas for each executable calculation.
[0011] The control device 20 acquires material information and worker information based on images acquired by the camera 10. Material information is information about the state of materials in the manufacturing site. Worker information is information about the state of workers in the manufacturing site. Material information and worker information are collected, for example, by performing image processing on images acquired by the camera 10. For image processing to collect material information and worker information, for example, a convolutional neural network (CNN) and YOLO can be used.
[0012] Component information includes, for example, information about the component's shape, size, inclination, temperature, position, residence time, center of gravity, movement state, and transport method. Information about the component's shape, size, inclination, position, and center of gravity can be obtained, for example, by performing image processing on an image. Information about the component's temperature can be obtained, for example, based on images acquired by a camera 10 including a thermograph. The residence time of a component can be obtained, for example, based on the number of consecutive images (frames in the case of a video) in which the component is in the same position. Information about the component's movement state can be obtained, for example, based on the presence or absence of workers or carts near the component. Information about the transport method of a component can be obtained, for example, based on the type of workers or carts near the component.
[0013] The component information includes information obtained from pre-entered component master information. The control device 20 identifies a component based on information such as its shape and size, and obtains information about the appropriate location and method of placement of the component included in the component master information. The control device 20 may also obtain information such as the name of the component, its shape, its temperature, and its properties included in the component master information. The control device 20 may also compare a master image of a component previously stored in the control device 20 with an image obtained by the camera 10, and identify the component from the master image with a high matching rate.
[0014] Worker information includes, for example, information about the worker's position, skeletal structure, and movements. Information about the worker's position, skeletal structure, and movements can be obtained, for example, by image processing on an image. Information about whether a worker is walking or carrying something can be obtained, for example, based on information about changes in the worker's skeletal structure.
[0015] The worker information may include, for example, information obtained from pre-entered worker master information. The control device 20 may, for example, identify a worker from information about the worker's skeleton and obtain information such as the worker's name and the terminal number of the notification device 30 that the worker possesses, which are included in the worker master information. The control device 20 may, for example, compare master images of the worker's face and whole body that have been stored in the control device 20 in advance with images obtained by the camera 10 and identify the worker from the master images with a high matching rate.
[0016] As shown in FIG. 2, the camera 10 acquires an image of a manufacturing site divided into a plurality of sections by at least one of lines and colors, for example. The control device 20 identifies a plurality of sections at the manufacturing site by at least one of the lines and colors included in the image, thereby specifying the positions of the members and the operator. In this example, the camera 10 has acquired an image of the manufacturing site MS divided into six sections, sections S1 to S6. Then, the control device 20 identifies sections S1 to S6 to specify that two members P1 are in section S5, four members P2 are in section S6, and the operator W is in section S1.
[0017] The control device 20 determines whether the placement of the members is appropriate based on the member information and the operator information. For example, the control device 20 determines that the placement of the member is appropriate when the current placement (position) of the member matches the appropriate placement of the member. For example, when the current placement of the member does not match the appropriate placement of the member, the control device 20 determines that the placement of the member is not appropriate. For example, when the member is placed on a passageway, the control device 20 determines that the placement of the member is not appropriate. For example, when the member has been placed in a temporary storage area for a predetermined time or longer (for example, four hours or longer), the control device 20 determines that the placement of the member is not appropriate. For example, when the time the member has been placed in the temporary storage area exceeds the lead time of the process, the control device 20 may determine that the placement of the member is not appropriate. Further, for example, when the member has been placed in the temporary storage area for a predetermined time or longer and when the time the member has been placed in the temporary storage area exceeds the lead time of the process, the control device 20 may determine that the placement of the member is not appropriate. In this case, the control device 20 determines whether the member has been placed in the temporary storage area for a predetermined time or longer based on the member information for a past predetermined period.
[0018] Based on the member information and the operator information, the control device 20 determines whether the way of placing the member is appropriate. For example, when the current way of placing the member matches the appropriate way of placing the member, the control device 20 determines that the way of placing the member is appropriate. For example, when the current way of placing the member does not match the appropriate way of placing the member, the control device 20 determines that the way of placing the member is not appropriate. For example, when the balance of the placed members is poor, the control device 20 determines that the way of placing the members is not appropriate. For example, when the members are stacked high (for example, three or more levels), the control device 20 determines that the way of placing the members is not appropriate. For example, when the members are placed so as to protrude from the placement location, the control device 20 determines that the way of placing the members is not appropriate. For example, when the members are in contact with other members, the control device 20 determines that the way of placing the members is not appropriate.
[0019] Based on the member information and the operator information, the control device 20 determines whether the member is dangerous. For example, when at least any one of the shape, temperature, property, and size of the member is dangerous, the control device 20 determines that the member is dangerous. For example, when none of the shape, temperature, property, and size of the member is dangerous, the control device 20 determines that the member is not dangerous. For example, when the member is sharp or has burrs, the control device 20 determines that the shape of the member is dangerous. For example, when the temperature of the member is high (for example, 40°C or higher) or the temperature of the member is low (for example, 0°C or lower), the control device 20 determines that the temperature of the member is dangerous. For example, when the member contains harmful chemical substances, the control device 20 determines that the property of the member is dangerous. For example, when the member is large enough to block the operator's view, the control device 20 determines that the size of the member is dangerous.
[0020] For example, based on preset conditions, the control device 20 determines whether the placement location of the member is appropriate, whether the way of placing the member is appropriate, and whether the member is dangerous.
[0021] The control device 20 may, for example, determine whether the location of the component is appropriate, whether the way the component is placed is appropriate, and whether the component is dangerous, based on past performance. In other words, the control device 20 may, for example, change (feed back) the criteria for determination based on past performance. Past performance includes, for example, performance data of the location of the component, the way the component is placed, and the condition of the component when no worker was injured, and performance data of the location of the component, the way the component is placed, and the condition of the component when a worker was injured.
[0022] The control device 20 may, for example, determine whether the location of a component is appropriate, whether the way of placing the component is appropriate, and whether the component is dangerous, based on a model created by machine learning. The model is created by machine learning based, for example, on training data about the location of the component, the way of placing the component, and the condition of the component when the worker was not injured, and on training data about the location of the component, the way of placing the component, and the condition of the component when the worker was injured.
[0023] The control device 20 outputs information based on the determination result. More specifically, if the control device 20 determines that the location of the component is not appropriate, it outputs location information. If the control device 20 determines that the location of the component is appropriate, it does not output location information. Location information is information about the appropriate location for the component. As described above, location information is included, for example, in pre-entered component master information and is acquired as part of the component information.
[0024] The control device 20 outputs placement information if it determines that the placement of the components is inappropriate. The control device 20 does not output placement information if it determines that the placement of the components is appropriate. The placement information is information about the proper placement of the components. As described above, the placement information is included, for example, in the pre-entered component master information and is acquired as part of the component information.
[0025] The control device 20 outputs hazard information if it determines that a component is hazardous. The control device 20 does not output hazard information if it determines that a component is not hazardous. Hazard information is information about whether a component is hazardous. Hazard information may be information to inform the worker that there is a hazardous component, or information to encourage the worker to move away from the hazardous component.
[0026] The notification device 30 is capable of notifying information output from the control device 20. The notification device 30 is electrically connected to the control device 20. The notification device 30 may be, for example, a display that visually notifies information using text or diagrams, or a speaker that audibly notifies information using sound. The notification device 30 may be, for example, an information terminal carried by a worker such as a tablet, smartphone, or smartwatch, or a display or speaker installed in the manufacturing site.
[0027] The control device 20 may, for example, notify information to an information terminal held by a worker near a component that has been determined to be in an inappropriate location or placement, or a component that has been determined to be dangerous; or it may notify information to a display or speaker near a worker near a component that has been determined to be in an inappropriate location or placement, or a component that has been determined to be dangerous; or it may notify information to a display or speaker near a component that has been determined to be in an inappropriate location or placement, or a component that has been determined to be dangerous. The control device 20 may, for example, notify information to a specific information terminal, such as the information terminal of the person in charge of the manufacturing site.
[0028] The notification device 30 can be provided as needed and is optional. The control device 20 may, for example, output information to a robot transporting materials, causing the robot to place materials that have been determined to be in an inappropriate location in an appropriate location, to place materials that have been determined to be placed in an inappropriate manner in an appropriate manner, to have the robot reduce the danger of materials that have been determined to be dangerous, or to guide the robot so that workers do not approach materials that have been determined to be dangerous.
[0029] Figure 3 is a flowchart illustrating the manufacturing site management method according to this embodiment. As shown in Figure 3, the manufacturing site management method according to the embodiment includes steps S101 to S108. Steps S101 and S102 correspond to the acquisition process. Steps S103, S105, and S107 correspond to the determination process. Steps S104, S106, and S108 correspond to the output process.
[0030] The control device 20 first acquires an image of the manufacturing site (step S101). The image is acquired by the camera 10. At this time, the control device 20 acquires an image of the manufacturing site that is divided into multiple sections by, for example, lines and colors.
[0031] The control device 20 then acquires component information and worker information based on the image (step S102). At this time, the control device 20 identifies the location of the component and the worker by identifying multiple sections in the manufacturing site using, for example, at least one of the lines and colors included in the image. The component information and worker information are as described above.
[0032] The control device 20 then determines whether the placement of the components is appropriate based on the component information and worker information (step S103). At this time, the control device 20 may determine whether the placement of the components is appropriate based on pre-set conditions, based on past performance, or based on a model created by machine learning.
[0033] If the control device 20 determines that the placement of the component is inappropriate (step S103: No), it outputs placement information (step S104). If the control device 20 determines that the placement of the component is appropriate (step S103: Yes), it does not output placement information. The placement information is as described above.
[0034] The control device 20 then determines whether the placement of the components is appropriate based on the component information and the worker information (step S105). At this time, the control device 20 may determine whether the placement of the components is appropriate based on pre-set conditions, based on past performance, or based on a model created by machine learning.
[0035] If the control device 20 determines that the placement of the components is inappropriate (step S105: No), it outputs placement information (step S106). If the control device 20 determines that the placement of the components is appropriate (step S105: Yes), it does not output placement information. The placement information is as described above.
[0036] The control device 20 then determines whether the component is dangerous or not based on the component information and worker information (step S107). At this time, the control device 20 may determine whether the component is dangerous or not based on pre-set conditions, based on past performance, or based on a model created by machine learning.
[0037] If the control device 20 determines that the component is dangerous (step S107: Yes), it outputs hazard information (step S108). If the control device 20 determines that the component is not dangerous (step S107: No), it does not output hazard information. The hazard information is as described above.
[0038] The control device 20 notifies the worker of information such as location information, placement information, and hazard information by outputting such information to the notification device 30, for example. The control device 20 may also operate a robot that transports materials by outputting information to it, for example.
[0039] Steps S103, S105, and S107 may be performed in any order. Steps S103, S105, and S107 may also be performed simultaneously.
[0040] Figure 4 is a flowchart showing the acquisition process of the manufacturing site management method according to the embodiment. As shown in Figure 4, the acquisition process of the manufacturing site management method according to the embodiment includes steps S201 to S204.
[0041] The control device 20 first determines whether or not an object is included in the image (step S201). Object detection in the image is performed, for example, by image processing. For example, a convolutional neural network and YOLO can be used as image processing for object detection. If an object is included in the image (step S201: Yes), the control device 20 determines whether or not the object included in the image is a component (step S202). The determination of whether or not an object included in the image is a component is performed, for example, by image processing. For example, a convolutional neural network and YOLO can be used as image processing for determining whether or not an object is a component.
[0042] If the control device 20 determines that an object in the image is a component (step S202: Yes), it obtains component information from the object (component) in the image (step S203). The acquisition of component information is as described above.
[0043] If the control device determines that the object in the image is not a component (step S202: No), the control device 20 obtains worker information from the object (worker) in the image (step S204). The acquisition of worker information is as described above.
[0044] If the image does not contain an object (step S201: No), the control device 20 does not perform steps S202 to S204. In other words, if the image does not contain an object (step S201: No), the control device 20 does not acquire component information and worker information.
[0045] Figure 5 is an explanatory diagram showing an example of storage location information output in the manufacturing site management method and manufacturing site management system according to the embodiment. As shown in Figure 5, the notification device 30 notifies the location information. In the example in Figure 5, the notification device 30 displays the following location information: "Component A is in the 'aisle'. Please be careful. Move component A to 'storage area X'."
[0046] Figure 6 is an explanatory diagram showing an example of placement information output in the manufacturing site management method and manufacturing site management system according to the embodiment. As shown in Figure 6, the notification device 30 provides information on placement. In the example in Figure 6, the notification device 30 displays the following information regarding placement: "There is a risk of component A falling. Please be careful. Place component A without overlapping it."
[0047] Figure 7 is an explanatory diagram showing an example of hazard information output in the manufacturing site management method and manufacturing site management system according to the embodiment. As shown in Figure 7, the notification device 30 notifies of danger information. In the example in Figure 7, the notification device 30 displays the danger information: "There is a 'high temperature' component A nearby. Please be careful."
[0048] The following describes the effects and benefits of the manufacturing site management method and manufacturing site management system according to the embodiment.
[0049] In manufacturing environments, improper placement or storage of components can lead to workers being injured by contact with components, causing them to fall or by components falling and injuring them. Furthermore, dangerous components can injure workers upon contact. Improving safety in manufacturing environments is therefore essential.
[0050] In contrast, the manufacturing site management method and manufacturing site management system according to the embodiment determine whether the location of a component is appropriate, whether the way the component is placed is appropriate, and whether the component is dangerous, based on component information and worker information. Based on the determination results, information such as location information, placement information, and danger information is output, thereby informing workers of the appropriate location and placement of components, as well as the presence of dangerous components. Furthermore, robots can be used to place components in appropriate locations, place components in appropriate ways, reduce the danger of components, and guide workers to avoid approaching components. This improves safety at the manufacturing site.
[0051] Furthermore, in the manufacturing site management method and manufacturing site management system according to the embodiment, multiple sections in the manufacturing site can be identified by at least one of the lines and colors contained in the image, and the positions of the components and workers can be identified more accurately. This further improves the safety of the manufacturing site.
[0052] Furthermore, in the manufacturing site management method and manufacturing site management system according to the embodiment, the criteria for judgment can be updated based on past performance by determining whether the location of the components is appropriate, whether the way the components are placed is appropriate, and whether the components are dangerous, based on past performance. This further improves the safety of the manufacturing site.
[0053] Furthermore, the manufacturing site management method and manufacturing site management system according to the embodiment can determine whether the location of a component is appropriate, whether the way of placing the component is appropriate, and whether the component is dangerous, based on a model created by machine learning. This allows for determination based on criteria that are more conducive to improving safety. As a result, safety at the manufacturing site can be further improved.
[0054] Furthermore, the manufacturing site management method and manufacturing site management system according to the embodiment can inform workers of information such as the appropriate place and method of placing materials, and the presence of dangerous materials. This can improve safety at the manufacturing site.
[0055] The embodiment may include the following configurations.
[0056] (Composition 1) An acquisition step involves acquiring images of the manufacturing site, and based on the images, acquiring component information regarding the condition of components in the manufacturing site and worker information regarding the condition of workers in the manufacturing site. A determination step, based on the aforementioned member information and the aforementioned worker information, to determine whether the location of the member is appropriate, whether the way the member is placed is appropriate, and whether the member is dangerous. Based on the judgment result, an output process outputs information, Equipped with, In the output process, If it is determined that the location where the aforementioned component is placed is not appropriate, the system outputs location information for an appropriate location for the component. If it is determined that the placement of the aforementioned member is not appropriate, the system outputs information on the appropriate placement of the member. A manufacturing site management method that outputs hazard information regarding the hazardous nature of a component if it is determined that the component is dangerous.
[0057] (Configuration 2) The manufacturing site management method according to Configuration 1, wherein in the acquisition step, an image of the manufacturing site divided into multiple sections by at least one of lines and colors is acquired, and the location of the component and the location of the worker are identified by identifying the multiple sections in the manufacturing site by at least one of the lines and colors included in the image.
[0058] (Composition 3) The manufacturing site management method according to configuration 1 or 2, wherein in the determination step, the method determines, based on past performance, whether the location of the component is appropriate, whether the way of placing the component is appropriate, and whether the component is dangerous.
[0059] (Composition 4) The manufacturing site management method according to configuration 1 or 2, wherein in the determination step, it is determined, based on a model created by machine learning, whether the location of the component is appropriate, whether the way of placing the component is appropriate, and whether the component is dangerous.
[0060] (Composition 5) A manufacturing site management method according to any one of configurations 1 to 4, wherein the information is notified to the worker during the output process.
[0061] (Composition 6) A camera that acquires images of the manufacturing site, A control device that, based on the aforementioned image, acquires component information regarding the state of components at the manufacturing site and worker information regarding the state of workers at the manufacturing site, determines whether the location of the components is appropriate, whether the way the components are placed is appropriate, and whether the components are dangerous, and outputs information based on the determination result, Equipped with, The control device is If it is determined that the location where the aforementioned component is placed is not appropriate, the system outputs location information for an appropriate location for the component. If it is determined that the placement of the aforementioned member is not appropriate, the system outputs information on the appropriate placement of the member. A manufacturing site management system that outputs hazard information regarding the hazardous nature of a component if it is determined that the component is hazardous.
[0062] (Composition 7) The camera acquires the image of the manufacturing site, which is divided into multiple sections by at least one of lines and colors. The manufacturing site management system according to configuration 6, wherein the control device identifies the location of the component and the location of the worker by identifying the plurality of sections in the manufacturing site using at least one of the lines and colors included in the image.
[0063] (Composition 8) The manufacturing site management system according to configuration 6 or 7, wherein the control device determines, based on past performance, whether the location of the component is appropriate, whether the way the component is placed is appropriate, and whether the component is dangerous.
[0064] (Composition 9) The manufacturing site management system according to configuration 6 or 7, wherein the control device determines, based on a model created by machine learning, whether the location of the component is appropriate, whether the way the component is placed is appropriate, and whether the component is dangerous.
[0065] (Composition 10) A manufacturing site management system according to any one of configurations 6 to 9, further comprising a notification device for notifying the worker of the aforementioned information.
[0066] As described above, according to the embodiment, it is possible to provide a manufacturing site management method and a manufacturing site management system that can improve safety at the manufacturing site.
[0067] The embodiments of the present invention have been illustrated above, but these embodiments are presented as examples only and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims of the invention and its equivalents. [Explanation of Symbols]
[0068] 10: Camera 20: Control device 30: Notification device 100: Manufacturing Site Management System MS: Manufacturing site P1, P2: Components S1~S6: Sections W: Worker
Claims
1. An acquisition step involves acquiring images of the manufacturing site, and based on the images, acquiring component information regarding the condition of components in the manufacturing site and worker information regarding the condition of workers in the manufacturing site. A determination step, based on the aforementioned member information and the aforementioned worker information, to determine whether the location of the member is appropriate, whether the way the member is placed is appropriate, and whether the member is dangerous. Based on the judgment result, an output process outputs information, Equipped with, In the output process, If it is determined that the location where the aforementioned component is placed is not appropriate, the system outputs location information for an appropriate location for the component. If it is determined that the placement of the aforementioned member is not appropriate, the system outputs information on the appropriate placement of the member. A manufacturing site management method that outputs hazard information regarding the hazardous nature of a component if it is determined that the component is dangerous.
2. The manufacturing site management method according to claim 1, wherein in the acquisition step, an image of the manufacturing site divided into a plurality of sections by at least one of lines and colors is acquired, and the location of the component and the location of the worker are identified by identifying the plurality of sections in the manufacturing site by at least one of the lines and colors included in the image.
3. The manufacturing site management method according to claim 1, wherein in the determination step, the method determines, based on past performance, whether the location of the component is appropriate, whether the way of placing the component is appropriate, and whether the component is dangerous.
4. The manufacturing site management method according to claim 1, wherein in the determination step, the method determines, based on a model created by machine learning, whether the location of the component is appropriate, whether the way of placing the component is appropriate, and whether the component is dangerous.
5. A manufacturing site management method according to any one of claims 1 to 4, wherein the information is communicated to the worker during the output process.
6. A camera that acquires images of the manufacturing site, A control device that, based on the aforementioned image, acquires component information regarding the state of components at the manufacturing site and worker information regarding the state of workers at the manufacturing site, determines whether the location of the components is appropriate, whether the way the components are placed is appropriate, and whether the components are dangerous, and outputs information based on the determination result, Equipped with, The control device is If it is determined that the location where the aforementioned component is placed is not appropriate, the system outputs location information for an appropriate location for the component. If it is determined that the placement of the aforementioned member is not appropriate, the system outputs information on the appropriate placement of the member. A manufacturing site management system that outputs hazard information regarding the hazardous nature of a component if it is determined that the component is hazardous.
7. The camera acquires the image of the manufacturing site, which is divided into multiple sections by at least one of lines and colors. The manufacturing site management system according to claim 6, wherein the control device identifies the location of the component and the location of the worker by identifying the plurality of sections in the manufacturing site using at least one of the lines and colors included in the image.
8. The manufacturing site management system according to claim 6, wherein the control device determines, based on past performance, whether the location of the component is appropriate, whether the way of placing the component is appropriate, and whether the component is dangerous.
9. The manufacturing site management system according to claim 6, wherein the control device determines, based on a model created by machine learning, whether the location of the component is appropriate, whether the way the component is placed is appropriate, and whether the component is dangerous.
10. A manufacturing site management system according to any one of claims 6 to 9, further comprising a notification device for notifying the worker of the aforementioned information.
Citation Information
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