Vehicle production management system and method thereof

Abstract

The present invention relates to a vehicle production management system including a function of managing a plurality of robots for transporting a vehicle body and a component in a vehicle production system including a plurality of units for assembling the component, the system including: a work organizing section configured to organize a plurality of units for assembling the component; the planning module is used for establishing a movement plan of the vehicle body between the units and an assembly plan in each unit, or modifying the established plan; a robot control unit for establishing a movement path of the plurality of robots or modifying the established path according to the plan established by the work organization unit; and a digital twin verification section for implementing the production scene in the virtual environment based on the plan established by the work organization section and the movement path established by the robot control section, verifying the production efficiency and the movement path of the robot in the implemented virtual production scene, and when an abnormality occurs as a result of the verification, verifying the production efficiency and the movement path of the robot in the virtual production scene. The feedback is provided to the work organization unit or the robot control unit.

Description

Technical Field

[0001] The present disclosure relates to a vehicle production management system, and more particularly, to a vehicle production management system that uses a robot that transports a vehicle body or a component, such as an autonomous mobile robot (AMR) or an automatic guided vehicle (AGV), obtains a route of the robot in a robot routing system, implements a virtual environment to verify robot operation through an optimal route, and changes the route of the robot when problems such as manufacturing equipment failure, component quality problems, and work delays occur. Background Art

[0002] Smart factory, a smart manufacturing technology that applies recent ICT technologies such as AI, robots, IoT, and big data to existing production processes (assembly, logistics, inspection, etc.), is a technology that consists of multiple units and vehicle parts are assembled in each unit.

[0003] In the case of an autonomous mobile robot (AMR) that is a robot capable of transporting a vehicle body or a component, the robot selects one of the predefined routes and moves from a starting point to a destination by using its own autonomous driving function. In this case, there are limitations in the scene for testing the real movement of the AMR, and there is a problem that it cannot adapt to the diversity of the production plan established every day.

[0004] In a conventional robot route management system, the routes of the robot are predefined, one of the defined routes is selected, and by using the autonomous driving function of the robot, the robot moves from the starting point to the end point. Therefore, it is important to set the defined route, and for this purpose, movement scenarios for various robots are created and checked in advance, and the derived optimal route is loaded into the actual operating system of the robot.

[0005] However, there are limitations on testable scenarios before the robot moves in the robot route management system. For example, the limited movement scenarios cannot adapt to the diversity of production plans established every day, and this can cause problems with the setting of the robot's predefined routes, such as overlapping of the robot's movement routes during actual movement in the system or excessive waiting time of the robot. Because they are not recognizable until after the robot moves in the robot route management system, it is difficult to solve these problems in advance.

[0006] In addition, the robot route management system operates multiple robots at the same time, and the predefined route is not defined by comprehensive judgment of all robots, but is a route optimized for each robot based on the combination of the robot's starting point and destination. Therefore, when multiple robots are actually operated, problems that have not been verified in advance will occur.

[0007] Furthermore, in order to check whether there are any problems with the robot's moving route, the system controlling each robot is checked through a simulator that can be tested indiscriminately in a virtual environment. However, conventional simulators have the ability to check the operation of a robot by virtually implementing or replacing an actual robot in the system. This check is virtually performed with exactly the same algorithm as the actual system, and therefore the execution time is the same as in reality, so there is a time constraint.

[0008] For example, to check the robot's route to support an 8-hour production plan by using a simulator, the same 8 hours as in reality are spent.

[0009] In addition, in order to identify problems with the movement routes of AMRs in smart factories, a simulator is needed that can test the AMR control system (ACS) that controls each AMR indiscriminately in a virtual environment. However, existing simulators perform tests virtually, but with exactly the same algorithms as the actual system, and therefore there are time constraints.

[0010] Therefore, a method has emerged to pre-verify the route of a robot in a virtual environment and apply the route to an actual system by implementing a virtual reality method that indiscriminately converts physical objects and the real world into a digital world.

[0011] The above contents described as background technology are only intended to enhance the understanding of the background of the present disclosure and should not be regarded as admitting that the contents correspond to the prior art known to those skilled in the art. Summary of the invention

[0012] Technical issues

[0013] The present disclosure aims to propose a vehicle production management system that uses a robot that transports a car body or parts (such as an autonomous mobile robot (AMR) or an automatic guided vehicle (AGV)) to obtain the robot's route in a robot routing system, implements a virtual environment to verify the robot operation through the optimal route, and changes the robot's route when problems such as manufacturing equipment failure, part quality problems, and work delays occur.

[0014] Technical Solution

[0015] As a means for solving the above-mentioned technical problems, the present disclosure provides a vehicle production management system, including the function of managing multiple robots, which transport vehicle bodies and parts in a vehicle production system composed of multiple units for assembling parts. The vehicle production management system includes: a work organization department, configured to establish a movement plan of the vehicle body between units and an assembly plan in each unit, or modify the established plan; a robot control department, configured to establish a movement route of multiple robots according to the plan established by the work organization department, or modify the established route; and a digital twin verification department, configured to implement a production scenario in a virtual environment based on the plan established by the work organization department and the movement route established by the robot control department, so as to verify the production efficiency and the movement route of the robot in the implemented virtual production scenario, and when an abnormality occurs as a result of the verification, the abnormality is fed back to the work organization department or the robot control department.

[0016] The vehicle production management system may further include: a production execution unit configured to receive the movement plan and assembly plan established or modified by the work organization unit, and generate a production signal so that the vehicle is produced according to the established or modified movement plan and assembly plan.

[0017] Each robot can be a robot for transporting a car body or a component.

[0018] When an abnormality occurs as a result of the verification of the virtual production scenario conducted by the digital twin verification department, the work organization department may modify the established plan.

[0019] When an abnormality occurs as a result of verification of the virtual production scenario performed by the digital twin verification section, the robot control section may modify the established movement route.

[0020] The digital twin verification department can verify the production efficiency, and when the production efficiency is below the preset reference efficiency, the anomaly will be fed back to the work organization department.

[0021] The digital twin verification unit can verify the robot's movement route, and when the robot is in a collision or deadlock state, it will feedback the abnormality to the robot control unit.

[0022] When no abnormality occurs as a result of verification of the production efficiency and the movement route of the robot, the digital twin verification unit can verify the achievement of the planned production volume.

[0023] When an abnormality occurs as a result of verification of the planned production volume, the digital twin verification unit can feed back the abnormality to the work organization unit or the robot control unit.

[0024] The vehicle production management system may further include: a field problem collection unit configured to collect field problems related to equipment, quality or work occurring in the vehicle production system, and transmit the field problems to the work organization unit to modify the established plan based on the collected field problems.

[0025] The vehicle production management system may further include: a virtual problem generating unit configured to generate virtual problems related to equipment, quality or work that can occur in the vehicle production system, and transmit the virtual problems to the work organizing unit to modify the established plan based on the generated virtual problems.

[0026] Live or virtual problems can include manufacturing equipment failures, quality issues with parts, and work delays.

[0027] The work organization department can modify the previously established plan for the movement of car bodies between cells and the assembly plan in each cell based on field problems occurring in the vehicle production system that are related to equipment, quality, or work.

[0028] The work organization department can modify the previously established movement plan of the car bodies between cells and the assembly plan in each cell based on virtual problems related to equipment, quality or work that can occur in the vehicle production system.

[0029] As a method for solving the above-mentioned technical problems, the present disclosure provides a vehicle production management method, including the function of managing multiple robots, which transport vehicle bodies and parts in a vehicle production system composed of multiple units for assembling parts. The vehicle production management method includes: a work organization department establishes a movement plan for the vehicle body between units and an assembly plan in each unit, or modifies the established plan; a robot control department establishes movement routes for multiple robots according to the established plan, or modifies the established routes; a digital twin verification department implements a production scenario in a virtual environment based on the plan established by the work organization department and the movement route established by the robot control department, and verifies the production efficiency and the movement route of the robot in the implemented virtual production scenario; and when an abnormality occurs as a result of the verification, the digital twin verification department feeds back the abnormality to the work organization department or the robot control department.

[0030] The vehicle production management method may further include: collecting, by the on-site problem collecting unit, on-site problems related to equipment, quality or work occurring in the vehicle production system, and transmitting the on-site problems to the work organizing unit to modify the established plan based on the collected on-site problems.

[0031] The vehicle production management method may further include: generating, by a virtual problem generating unit, virtual problems related to equipment, quality or work that can occur in the vehicle production system, and transmitting the virtual problems to the work organizing unit to modify the established plan based on the generated virtual problems.

[0032] Beneficial Effects

[0033] According to the vehicle production management system of the present disclosure, a robot that transports car bodies or parts (such as an autonomous mobile robot (AMR) or an automatic guided vehicle (AGV)) can be used to obtain the robot's route in a robot routing system to implement a virtual environment to verify the robot operation through the optimal route, and change the robot's route when problems such as manufacturing equipment failure, part quality problems, and work delays occur.

[0034] Effects that can be obtained from the present disclosure are not limited to the above-mentioned effects, and other effects that are not mentioned will be clearly understood from the following description by those skilled in the art to which the present disclosure pertains. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a block diagram illustrating components of the vehicle production management system of the present disclosure.

[0036] Figure 2 is a block diagram showing a production scenario implementation environment in a virtual environment of a digital twin verification unit.

[0037] Figure 3 It shows that according to Figure 1 A flowchart of how the vehicle production management system operates.

[0038] Figure 4 It shows that when a live problem or a virtual problem occurs, Figure 1 A flowchart of how the vehicle production management system operates. DETAILED DESCRIPTION

[0039] The specific structure or function description of the embodiments of the present disclosure disclosed in this specification or application is merely shown for the purpose of illustrating the embodiments according to the present disclosure, and the embodiments according to the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described in this specification or application.

[0040] Because the embodiments according to the present disclosure can be changed differently and can take various forms, specific embodiments are shown in the drawings and described in detail in this specification or application. However, this is not intended to limit the embodiments according to the concepts of the present disclosure to a specific disclosed form, but should be understood to include all modifications, equivalents or substitutes included in the spirit and technical scope of the present disclosure.

[0041] Unless otherwise defined, all terms (including technical or scientific terms) used herein have the same meaning as that commonly understood by those skilled in the art to which the present disclosure belongs. Unless otherwise explicitly defined herein, terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning of these terms in the context of the relevant technology, and not interpreted in an idealized or overly formal sense.

[0042] Hereinafter, the present disclosure will be described in detail by describing preferred embodiments of the present disclosure with reference to the accompanying drawings. The same reference numerals presented in each of the drawings represent the same components.

[0043] In the case of the present disclosure, the production plan for the day and the defined movement route of the robot are collected in advance, and the production scenario is implemented in a virtual environment through the digital twin to pre-verify the operation of the robot's route for the same day's production, and the expected problems found by the robot's operation simulation are virtually applied and verified within the same system. In addition, by using the digital twin for pre-verification of the system, the difference between the production plan and the expected production due to the robot's operation error is pre-identified and used for related work.

[0044] Figure 1 is a block diagram illustrating components of the vehicle production management system of the present disclosure. Figure 1 Components relevant to this embodiment are primarily shown, and it will be apparent that an actual system may include fewer or more components to be implemented.

[0045] refer to Figure 1 , the vehicle production management system according to the embodiment may include a work organization part 200 , a robot control part 210 , a digital twin verification part 300 , a production execution part 400 , a field problem collection part 100 , and a virtual problem generation part 110 .

[0046] The vehicle production management system of the present disclosure is composed of a plurality of units, each unit having a function of assembling components, and is provided with a robot capable of transporting vehicle bodies and components between the plurality of units.

[0047] First, the work organization department 200 is composed of an optimal work organization system and an advanced planning and scheduling (APS), and can establish a movement plan of the car body between units and an assembly plan in each unit, or can modify the established plan. Specifically, the optimal work organization system constituting the work organization department 200 can optimally allocate the type of work assigned to the workers according to the production situation. For example, when there are 100 tasks required for the assembly of a finished vehicle, tasks 1 to 10 can be assigned to unit 1, and tasks 11 to 20 can be assigned to unit 2 according to the current production situation. In addition, the APS constituting the work organization department 200 can establish the best weekly and daily assembly plan by reflecting the customer order situation and the production constraints. For example, the APS can establish a weekly and daily assembly plan by calculating the route (assembly route) of the finished vehicle on the day by considering the time of supplying parts.

[0048] Furthermore, in the vehicle production management system, when an abnormality occurs as a result of the verification of the virtual production scenario implemented in the digital twin verification section 300, the work organization section 200 can modify the established plan. Rerouting as a process of reestablishing the assembly route can be performed in the optimal work organization system or the 3D integrated control system constituting the work organization section 200, and as Figure 4 As shown, the 3D integrated control system may include a field problem collection unit 100, a virtual problem generation unit 110, and a work organization unit 200. Here, when there are no field problems related to equipment, quality, or work occurring in the vehicle production system, or when no virtual problems related to equipment, quality, or work occurring in the vehicle production system are created, as shown in FIG. Figure 3 As shown, rerouting is performed in the optimal work organization system, and when there are on-site problems and virtual problems, rerouting for abnormalities can be performed in the 3D integrated control system. The 3D integrated control system can perform rerouting for abnormalities as a function of the work organization unit 200, and can monitor various situations occurring in the factory in 3D and issue instructions to perform necessary tasks. For example, when assembly is delayed or equipment is damaged, the situation can be collected in real time and notified to the relevant system.

[0049] Next, in the work organization unit 200, the robot control unit 210 can establish a movement route for multiple robots according to the established plan, or modify the established route. In addition, when an abnormality (such as a field problem or a virtual problem) occurs as a result of the verification of the virtual production scene implemented in the digital twin verification unit 300, the robot control unit 210 can modify the established movement route so that the robot can immediately respond to the abnormality.

[0050] In addition, the robot control unit 210 can comprehensively control the movement of the robot, identify the position of the robot currently transporting the body and parts, and determine the occurrence of deadlock when a deadlock occurs between multiple robots. When it is determined that a deadlock has occurred between multiple robots, the deadlock can be resolved by giving priority to the movement of each robot according to rules (such as a predetermined moving route). Here, the digital twin verification unit 300 verifies the movement route of the robot so that when the robot collides or is in a deadlock, the abnormality can be fed back to the robot control unit 210. The above-mentioned determination of the occurrence of deadlock by the robot control unit 210 can be carried out by identifying the position of the robot currently transporting the body and parts, but the digital twin verification unit 300 can implement the production scenario in a virtual environment and verify the movement routes of multiple robots established or modified in the robot control unit 210 to determine whether the robot is in a collision or deadlock state.

[0051] Here, each robot may be a robot that transports a vehicle body or a component. Here, the robot that transports a vehicle body or a component may refer to an autonomous mobile robot (AMR) or an automatic guided vehicle (AGV). Specifically, an AGV is a robot that can send and receive signals through a guided production line or another device for route guidance, and an AMR (as an automation solution equipped with technologies such as autonomous driving and AI) refers to a robot that can form a map of the interior of a workstation by itself and can make decisions by itself, rather than interacting with a separate device when setting a route.

[0052] Next, the digital twin verification unit 300 can implement the production scenario in the virtual environment based on the plan established by the work organization unit 200 and the movement route established by the robot control unit 210, and can verify the production efficiency and the movement route of the robot in the implemented virtual production scenario, and when an abnormality occurs as a result of the verification, the abnormality can be fed back to the work organization unit 200 or the robot control unit 210. The vehicle production management system in the actual factory can be virtually verified and simulated by implementing the production scenario in the virtual environment by the digital twin verification unit 300. For example, the movement routes of multiple robots can be predicted in the vehicle production management system, and the assembly process of the components in each unit can be virtually verified.

[0053] In addition, after the work is completed, the digital twin verification unit 300 verifies the production efficiency, and when the production efficiency is below the preset reference efficiency, an abnormality can be fed back to the work organization unit 200. The work organization unit 200 establishes a reference efficiency before the work is performed on the day, and when the production efficiency after the work is completed is above the preset reference efficiency, the system is stopped, and when the production efficiency is below the reference efficiency, the abnormality is fed back to the work organization unit 200, so that the reference efficiency is set higher, or the assembly plan is modified later.

[0054] Therefore, when no abnormality occurs as a result of verification of the production efficiency and the movement route of the robot, the digital twin verification section 300 verifies the realization of the planned production volume, and when an abnormality occurs as a result of verification of the planned production volume, the abnormality can be fed back to the work organization section 200 or the robot control section 210. When an abnormality occurs as a result of the planned production volume, the digital twin verification section 300 can reroute the movement plan of the vehicle body between units, and the assembly plan in each unit in the optimal work organization system or 3D integrated control system constituting the work organization section 200, and can feed back the abnormality to the robot control section 210 so that the movement routes of the multiple robots can be modified, thereby verifying the operation of the robot through the optimal route, and changing the route of the robot when problems such as manufacturing equipment failure, quality problems of parts, and work delays occur.

[0055] Figure 2 is a block diagram showing a production scenario implementation environment in a virtual environment of the digital twin verification unit 300 .

[0056] like Figure 2 As shown, the digital twin verification unit 300 can implement a production scenario in a virtual environment based on the production plan of the work organization unit 200 and the moving route of the robot control unit 210, verify the moving route and production efficiency of the robot in the implemented virtual production scenario, and when an abnormality occurs as a result of the verification, the abnormality can be fed back to the work organization unit 200 or the robot control unit 210. Digital twin is a technology that creates a model of a real vehicle in a virtual space, simulates the model, and then links the data obtained by the simulation with the vehicle to innovate products and production processes at the same time.

[0057] More specifically, in the digital twin verification section 300, the implementation of the production scenario in the virtual environment can be performed using a total of three layers. First, there is an area of ​​application software used by users. Application software can be used to optimize production / logistics operations, verify the impact of production factors, verify equipment / robot teaching, analyze production line workers, and verify the assemblability of parts. The domain can be expanded by the diversity of the areas of application software used by users.

[0058] Second, there is an area for building digital models and simulations of virtual environments. The simulator can perform 3D modeling by interacting with the digital element library (AAS / digital assets) and the digital twin model. The simulator implements data integration, real-time update, spatiotemporal alignment matching, and structural analysis techniques. In addition, visualization techniques can be implemented through 3D visualization and AR / VR technologies, and multidimensional modeling techniques can be implemented through multidimensional object extraction, automatic 3D modeling recognition, and 3D model synthesis. Asset management in the digital element library (AAS / digital assets) enables asset search operations, asset compression, and asset sharing.

[0059] Third, there are various data links required for simulation, intelligent platforms and infrastructure areas for managing artificial intelligence algorithms. Specifically, it can include cloud and engine computing, sensors, networks and interconnection APIs, and requires data links with IoT, virtual object connections, wired and wireless communications, data connection technology through soft sensing, sleep / space / object analysis, correlation / causality analysis, and analysis technology through intelligent systems.

[0060] Next, the production execution unit 400 can receive the movement plan and assembly plan established or modified in the work organization unit 200, and can generate a production signal so that the vehicle is produced according to the established or modified movement plan and assembly plan. The production execution unit 400 is configured as a manufacturing execution system (MES) and can generate an actual production line work signal. After obtaining the latest production line information, the production execution unit 400 can control the operation of the robot by receiving the final production plan (such as indicating necessary tasks or operating equipment).

[0061] In addition, the field problem collection unit 100 can collect field problems related to equipment, quality or work that occur in the vehicle production system, and can transmit the field problems to the work organization unit 200 to modify the established plan based on the collected field problems. The field problem collection unit 100 can be used to collect problems when they actually occur on site. This is to collect problems when they actually occur on site, and to change the best route selection when abnormal situations occur. Therefore, real-time information is collected from the site, and when the information is outside the predefined range, or when the robot is in a collision or deadlock state, the abnormality can be fed back to the robot control unit 210.

[0062] Likewise, the virtual problem generating unit 110 can generate virtual problems related to equipment, quality, or work that can occur in the vehicle production system, and can transmit the virtual problems to the work organizing unit 200 to modify the established plan based on the generated virtual problems. It is assumed that a problem is generated independently of the occurrence of a field problem, and in this case, a production line problem can be virtually generated, and the abnormality can be fed back to the work organizing unit 200 so that the robot can operate in the optimal path when the abnormal situation occurs.

[0063] Therefore, the work organization department 200 can modify the previously established plan for the movement of the vehicle body between units and the assembly plan in each unit based on on-site problems related to equipment, quality or work occurring in the vehicle production system, and can therefore quickly respond to on-site problems and virtual problems by changing the robot's route when problems such as manufacturing equipment failures, component quality problems and work delays occur.

[0064] Here, on-site problems or virtual problems may include manufacturing equipment failures, component quality problems, and work delays, and may include various parameters that affect production. For example, when the actual work is delayed compared to the construction method / organization, the production path of each unit needs to be changed, and when there is a collision or deadlock between robots, the robot for the task needs to be changed or the moving route needs to be recalculated. In addition, when a problem with the quality of the components of the vehicle is found, the vehicle needs to be disassembled, repaired, and reinserted, and the production route of each unit needs to be changed. In addition, when an abnormality is found in the equipment of each unit, there will be a situation where the production route of the unit needs to be changed because the unit cannot be used. Therefore, by implementing a virtual environment of the digital twin before reflecting the digital twin in the actual work place, the simulation can be performed by arbitrarily set parameters. It is obvious to those skilled in the art that the roles of the work organization unit 200, the robot control unit 210, the digital twin verification unit 300, the production execution unit 400, the on-site problem collection unit 100, and the virtual problem generation unit 110 described so far are not limited to the above roles, and can be shared with each other or performed independently in different systems.

[0065] Reference Figure 3 and Figure 4 A vehicle production management method according to an embodiment based on the vehicle production management system described above is described.

[0066] Figure 3 is a flow chart showing how the vehicle production management system operates without live problems and virtual problems. Figure 4 It shows that when a live problem or a virtual problem occurs, Figure 1 A flowchart of how the vehicle production management system operates.

[0067] refer to Figure 3, first, in S10, the optimal work organization system constituting the work organization section 200 may transmit the work organization candidate group to the APS. Next, in S11, the APS may establish a movement plan of the vehicle body between units and an assembly plan in each unit, and may transmit the established plan back to the optimal work organization system. Next, in S12, the optimal work organization system may transmit the movement plan of the vehicle body between units and the assembly plan in each unit to the robot control section 210, and in S13, the robot control section 210 may establish a movement route of multiple robots according to the plan established in the work organization section 200, and may transmit the movement route to the digital twin verification section 300. Next, in S14, the digital twin verification section 300 may verify the production efficiency and the movement route of the robot in the implemented virtual production scenario based on the plan established by the work organization section 200 and the movement route established by the robot control section 210, and may feed back the result of the virtual verification to each of the work organization section 200 and the robot control section 210.

[0068] refer to Figure 4 , Figure 4 A situation in which a live problem occurs or a virtual problem is created is shown. First, the AI ​​keeper is a system that automatically decides whether to continue by judging the quality results of the work performed in each unit. For example, when an assembly quality problem occurs, this can be identified by a visual camera, and a stop signal can be generated to prevent the vehicle from continuing to the next process. In addition, the intelligent logistics system is a system that integrates and manages logistics information within the factory, and can calculate the supply sequence of parts required for each time period. The worker progress management system is a system that monitors the work progress of workers. During monitoring, in the event that the worker's work is delayed compared to the expected working time, a signal of work delay can be transmitted to the relevant system.

[0069] At the same time, in S20, problems related to equipment, quality or work occurring in the vehicle production system, on-site problems, or virtual problems related to equipment, quality or work occurring in the vehicle production system can be manually input into the 3D integrated control system by workers, and in S21 and S22, the 3D integrated control system can receive input on-site problems or virtual problems from the intelligent logistics system or the worker progress management system.

[0070] Next, at S23, the 3D integrated control system may transmit the route information of the finished vehicle modified according to the anomalies caused by the on-site problems and the virtual problems to the production execution part 400. Next, at S24, the production execution part 400 may request the digital twin verification part 300 to perform virtual verification of the modified route result. Next, at S25, the digital twin verification part 300 may transmit the modified route information to the robot control part 210, and may request the work organization part 200 to establish the optimal movement route of the robot according to the established plan.

[0071] Next, at S26 , the robot control part 210 transmits the optimal movement routes of the plurality of robots to the digital twin verification part 300 according to the plan established by the work organization part 200 .

[0072] Next, in S27, the digital twin verification unit 300 can verify the production efficiency and the movement routes of the robots in the virtual production scene based on the optimal movement routes of multiple robots transmitted by the robot control unit 210, and when an abnormality occurs as a result of the verification of the movement routes, the abnormality can be fed back to the robot control unit 210.

[0073] Next, at S28 , the digital twin verification unit 300 may feed back the verification results of the production efficiency and the movement route of the robot in the implemented virtual production scenario to the production execution unit 400 .

[0074] Meanwhile, at S29 , the digital twin verification section 300 may calculate a production volume forecast for the day, and notify the calculated volume while feeding back the virtual verification result to the 3D integrated control system.

[0075] Likewise, in S29 , the production execution unit 400 may also feed back the virtual verification result to the 3D integrated control system.

[0076] Finally, according to the vehicle production management system of the present invention, a robot that transports car bodies or parts (such as an autonomous mobile robot (AMR) or an automatic guided vehicle (AGV)) is used to obtain the robot's route in a robot routing system to implement a virtual environment to verify the robot operation through the optimal route, and it is feasible to change the robot's route when problems such as manufacturing equipment failure, part quality problems, and work delays occur.

[0077] While the present disclosure has been shown and described with respect to specific embodiments thereof, it will be apparent to those skilled in the art that various improvements and modifications may be made to the present disclosure without departing from the technical spirit of the present disclosure as provided by the appended claims.

[0078] <Description of Reference Numbers in the Drawings>

[0079] 100 On-site Problem Collection Department

[0080] 110 Virtual Question Generation Department

[0081] 200 Work Organization Department

[0082] 210 Robot Control Department

[0083] 300 Digital Twin Verification Department

[0084] 400 Production Execution Department.

Claims

1. A vehicle production management system, comprising a function of managing a plurality of robots that transport vehicle bodies and components in a vehicle production system consisting of a plurality of units for assembling components, the vehicle production management system comprising: A work organization unit configured to establish a movement plan of the vehicle body between the units and an assembly plan in each of the units, or to modify the established plan; a robot control unit configured to establish movement routes of the plurality of robots according to the plan established by the work organization unit, or to modify the established routes; as well as The digital twin verification unit is configured to implement a production scenario in a virtual environment based on the plan established by the work organization unit and the movement route established by the robot control unit, verify the production efficiency and the movement route of the robot in the implemented virtual production scenario, and when an abnormality occurs as a result of the verification, feed back the abnormality to the work organization unit or the robot control unit.

2. The vehicle production management system according to claim 1, further comprising: The production execution unit is configured to receive the movement plan and the assembly plan established or modified by the work organization unit, and generate a production signal so that a vehicle is produced according to the established or modified movement plan and the assembly plan.

3. The vehicle production management system according to claim 1, wherein: Each of the robots is a robot for transporting the vehicle body or the components.

4. The vehicle production management system according to claim 1, wherein: When an abnormality occurs as a result of verification of the virtual production scenario performed by the digital twin verification section, the work organization section modifies the established plan.

5. The vehicle production management system according to claim 1, wherein: When an abnormality occurs as a result of verification of the virtual production scenario performed by the digital twin verification section, the robot control section modifies the established movement route.

6. The vehicle production management system according to claim 1, wherein: The digital twin verification unit verifies the production efficiency, and when the production efficiency is below a preset reference efficiency, feeds back the abnormality to the work organization unit.

7. The vehicle production management system according to claim 1, wherein: The digital twin verification unit verifies the moving route of the robot, and when the robot is in a collision or deadlock state, feeds back the abnormality to the robot control unit.

8. The vehicle production management system according to claim 1, wherein: When no abnormality occurs as a result of verification of the production efficiency and the moving route of the robot, the digital twin verification unit verifies the achievement of a planned production volume.

9. The vehicle production management system according to claim 8, wherein: When an abnormality occurs as a result of verification of the planned production volume, the digital twin verification unit feeds back the abnormality to the work organization unit or the robot control unit.

10. The vehicle production management system according to claim 1, further comprising: A field problem collection section is configured to collect field problems related to equipment, quality or work occurring in the vehicle production system and transmit the field problems to the work organization section to modify the established plan based on the collected field problems.

11. The vehicle production management system according to claim 1, further comprising: A virtual problem generating section is configured to generate virtual problems related to equipment, quality or work that can occur in the vehicle production system, and transmit the virtual problems to the work organizing section to modify the established plan based on the generated virtual problems.

12. The vehicle production management system according to claim 10 or claim 11, wherein: Field or virtual problems include manufacturing equipment failures, quality issues with said parts, and work delays.

13. The vehicle production management system according to claim 10, wherein: The work organization section modifies a previously established movement plan of the vehicle body between the units and the assembly plan in each of the units based on the on-site problems related to equipment, quality, or work occurring in the vehicle production system.

14. The vehicle production management system according to claim 11, wherein: The work organization section modifies a previously established movement plan of the vehicle body between the cells and the assembly plan in each of the cells based on the virtual problem related to equipment, quality, or work that can occur in the vehicle production system.

15. A vehicle production management method, comprising the function of managing a plurality of robots that transport vehicle bodies and components in a vehicle production system consisting of a plurality of units for assembling components, the vehicle production management method comprising: The work organization department establishes a movement plan of the vehicle body between the units and an assembly plan in each unit, or modifies the established plan; The robot control unit establishes movement routes of the plurality of robots according to the established plan, or modifies the established routes; Implementing a production scenario in a virtual environment by a digital twin verification unit based on the plan established by the work organization unit and the movement route established by the robot control unit, and verifying production efficiency and the movement route of the robot in the implemented virtual production scenario; and When an abnormality occurs as a result of the verification, the digital twin verification unit feeds back the abnormality to the work organization unit or the robot control unit.

16. The vehicle production management method according to claim 15, further comprising: Field problems related to equipment, quality or work occurring in the vehicle production system are collected by a field problem collecting section and transmitted to the work organizing section to modify the established plan based on the collected field problems.

17. The vehicle production management method according to claim 15, further comprising: A virtual problem related to equipment, quality or work that can occur in the vehicle production system is generated by a virtual problem generating section, and the virtual problem is transmitted to the work organizing section to modify the established plan based on the generated virtual problem.

Images