Logistics transportation digital twin system applied to modularized clean room

Abstract

To provide a physical distribution transport digital twin system applied to a modularized clean room.SOLUTION: A three dimensional model computing module for constructing a three dimensional model of a modularized clean room and an automated guided vehicle, wherein the modularized clean room comprises a plurality of clean rooms, and each clean room comprises a plurality of partition panels; a perception data processing module for generating corresponding clean room perception data and operation perception data by perceiving clean room parameters of the modularized clean room and operation parameters of the automated guided vehicle; A digital twin module for generating a three dimensional operation result, and a visual display module for visualizing and displaying the three dimensional operation result.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a digital twin system, and more particularly to a logistics transportation digital twin system applied to a modular clean room. [Background technology]

[0002] In modern manufacturing, cleanroom technology plays a vital role in maintaining a highly purified production environment and ensuring product quality and safety in industries such as semiconductors, pharmaceuticals, biotechnology, and food. In particular, cell factories require extremely high sterility in the cell product manufacturing process, as any microbial contamination could result in the disposal of the entire product lot and potentially affect the therapeutic effect. Due to the characteristics of cell products, only a single product can be produced at a time to avoid cross-contamination. With the increasing demand for flexible manufacturing and customization in industry, traditional cleanroom designs and logistics systems face many challenges when operating multiple production lines simultaneously, including: 1. Fixed design lacks flexibility: Traditional clean rooms use fixed partition designs, which cannot be quickly adjusted to meet different product needs. When production schedules change or are down, the space cannot be flexibly rearranged, resulting in reduced production efficiency. 2. Difficulty in interoperating multiple cleanrooms: In the CDMO (Contract Development and Manufacturing Organization) model, cell factories need to operate multiple cleanrooms simultaneously, and each cleanroom may meet different customer needs. Traditional technologies lack effective digital twin simulation and prediction capabilities, making it difficult to evaluate the interoperability of multiple cleanrooms and identify bottlenecks in logistics. 3. High risk of cross-infection: When multiple clean rooms are operating at the same time, the transportation of materials and equipment is usually carried out by automated guided vehicles (AGVs). When the AGVs enter different clean rooms, they may carry microbial contamination, thereby affecting production yield and product quality. 4. Decrease in logistics transportation efficiency: Existing logistics systems generally use fixed route operation and lack digital twin technology for real-time vehicle dispatch and optimization. When multiple production lines are operating simultaneously, AGV routes are prone to overlapping and congestion, resulting in transportation delays. 5. Lack of real-time monitoring and control mechanisms: Many systems still rely on manual periodic inspections to monitor cleanroom conditions, which does not provide real-time information on air quality, logistics flow, and equipment operation, making it difficult to quickly identify and control contamination sources.

[0003] To solve the above problems, the prior art combines cleanroom planning with digital twin technology, but the prior art still has further drawbacks. 1. Time-consuming cleaning and disinfection operations affect production: After each production batch, comprehensive cleaning and disinfection is required to ensure a sterile environment. This cleaning and disinfection procedure is time-consuming and energy-consuming, which limits production schedules and makes it difficult to flexibly respond to production demands. 2. Digital twin technology is limited to a single cleanroom: While existing digital twin technologies can monitor the status of production equipment in real time, most of them are limited to a single cleanroom and lack the simulation and analysis capabilities to integrate the operations of multiple cleanrooms. 3. Lack of dimension in simulation analysis: When multiple cleanrooms are operated simultaneously, factors such as air flow, logistics routes, and equipment operating status must be considered simultaneously. When existing systems handle multi-dimensional parameters, it is difficult to perform effective simulation and optimization. 4. Insufficient logistics transportation management across clean rooms: Traditional AGV systems cannot fully consider the demand for material transportation between different clean rooms, causing route overlaps and transportation bottlenecks, thereby reducing overall production efficiency. 5. Insufficient digitalization of cleaning and disinfection processes: With known technologies, cleaning and disinfection work still relies on manual operation and recording, and digital twin technology cannot be used to predict cleaning and disinfection time and allocate resources, making production management more difficult.

[0004] Therefore, it is necessary to provide a system that can quickly adjust factory schedules and logistics transportation arrangements according to production line demand, while at the same time preventing cross-infection of raw materials and contaminants and properly managing production issues caused by equipment downtime, thereby ensuring production efficiency and product quality. Summary of the Invention

[0005] In view of this, the present invention provides a logistics transportation digital twin system applied to a modular clean room, thereby solving the above-mentioned known problems.

[0006] The present invention provides a logistics transportation digital twin system applicable to a modularized clean room, comprising: a 3D model computing module for constructing 3D models of a modularized clean room and an automated guided vehicle, the modularized clean room comprising a plurality of clean rooms, each of which is rapidly assembled with a plurality of partitions to form an interior space and an exterior area; a sensing data processing module connected to the 3D model computing module for sensing clean room parameters of the modularized clean rooms and operating parameters of the automated guided vehicles to generate corresponding clean room sensing data and operating sensing data; a digital twin module connected to the 3D model computing module and the sensing data processing module for performing simulation calculations on the clean room sensing data and operating sensing data in correspondence with the 3D model to generate 3D calculation results; and a visual display module connected to the digital twin module for visualizing and displaying the 3D calculation results.

[0007] Here, the logistics transportation digital twin system applied to the modular clean room is further connected to a manufacturing execution system, which monitors, tracks and records the production process, and collects and organizes the clean room detection data and the operation detection data in real time, so as to effectively manage and control the production process.

[0008] Here, the logistics transportation digital twin system applied to the modular clean room is applied to a cell factory. The cell factory is a contract development and manufacturing organization (CDMO) cell factory, and each of the partitions is a movable partition, and the internal space of each of the clean rooms is an airtight space. Positive pressure and laminar flow are maintained in the airtight space, so that the internal space of the clean room reaches a predetermined cleanliness class.

[0009] Here, when the cell factory allocates a shutdown, maintenance, or production schedule, the clean room quickly removes the movable partition to match a specific one of the clean rooms to the shutdown, maintenance, or production schedule based on the shutdown or production schedule.

[0010] The detection data processing module further includes at least one sensing device for detecting the operating status of the modularized clean room and the automated guided vehicle, which is installed on one of the partitions and located at the boundary between the internal space and the external area, thereby real-timely monitoring the cleanliness of the internal space, the logistics trends in the external area, and the operating trajectory of the automated guided vehicle.

[0011] Here, the digital twin module further includes a data computing and analysis unit for performing analysis based on the clean room sensing data and the driving sensing data, and predicting the transport behavior of the automated guided vehicle in the modular clean room through a machine learning model, thereby generating an optimized transport route for the automated guided vehicle.

[0012] Here, the digital twin module further includes a clean room operation simulation unit for simulating dynamic changes in airflow in the internal space of the clean room, contamination diffusion routes, and transportation routes of the automated guided vehicle in the external area of ​​the clean room, and optimizing the transportation routes through a machine learning model to provide an optimized transportation route.

[0013] Here, the internal space is adapted to a highly clean production environment, and the external area is adapted to a material transport area and equipment storage area.

[0014] The automated guided vehicle is disposed in the exterior area of ​​the modularized clean room and is used to deliver materials or equipment to the interior space through a docking window. The automated guided vehicle further comprises a main body and an internal chamber installed in the main body. The internal chamber comprises a connecting member corresponding to the docking window and for delivering an object to the interior area through the docking window.

[0015] wherein each docking window further comprises a first docking window and a second docking window, the items further include a first item and a second item, the automated transport device is for transporting the first item into the interior space through the first docking window and the second item into the exterior space through the second docking window, and the geometric shape of the first docking window is different from the geometric shape of the second docking window.

[0016] Here, the clean room parameters further include one or more of personnel parameters, equipment parameters, material parameters, and environmental parameters.

[0017] Here, the 3D model calculation module, the detection data processing module and the digital twin module further synchronize data via wireless communication or wired communication, thereby providing real-time operation monitoring.

[0018] As described above, the present invention provides a digital twin system for logistics transportation applied to modular cleanrooms, which comprehensively resolves the problems of conventional technologies, such as rigid production schedules, difficulty in linking multiple cleanrooms, reduced logistics efficiency, and insufficient supervision, and fully utilizes its technological advantages and innovative features. By combining modular cleanroom design with digital twin technology, the present invention enables rapid adjustment of spatial layout according to production line needs, significantly improving production schedule flexibility and space utilization, and making factory layout more flexible and adaptable. The system's built-in digital twin simulation function for multiple cleanrooms can instantly analyze the interconnection effects and logistics bottlenecks between multiple cleanrooms, thereby improving the collaborative efficiency of parallel production across multiple production lines and meeting high-demand production patterns such as CDMO. Furthermore, through intelligent AGV dispatching and digital twin logistics simulation, the system can instantly optimize logistics routes, intelligently avoiding AGV route overlaps and congestion, significantly improving the overall efficiency of logistics dispatching and achieving a highly efficient and smooth production process. Furthermore, the present invention breaks through the limitation of conventional technologies that can only monitor a single production area and integrates the collaborative simulation of multiple clean rooms with real-time logistics dispatching to achieve intelligent management of the entire process from production to logistics. This not only effectively improves production efficiency, but also significantly reduces the risk of cross-contamination and production interruptions caused by logistics bottlenecks, ensuring production stability and reliability. Finally, the present invention's real-time data analysis and smart dispatching capabilities enable it to quickly respond to diverse production demands and realize data-driven optimized decision-making, thereby comprehensively improving the reliability, flexibility, and operational efficiency of clean room production environments. [Brief explanation of the drawings]

[0019] [Figure 1]FIG. 1 is a functional block diagram of a logistics transportation digital twin system applied to a modular clean room based on a specific embodiment of the present invention. [Figure 2] FIG. 1 is a functional block diagram of a logistics transportation digital twin system applied to a modular clean room based on a specific embodiment of the present invention. [Figure 3] FIG. 1 is a functional block diagram of a logistics transportation digital twin system applied to a modular clean room based on a specific embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0020] To make the advantages, spirit, and labeling of the present invention more easily and clearly understood, specific examples will be described and examined in detail below with reference to the accompanying drawings. It should be noted that these specific examples are merely representative examples of the present invention, and the specific methods, devices, conditions, materials, etc. exemplified do not limit the present invention or the corresponding specific examples. Furthermore, the components in the drawings are used only to represent their relative positions and are not drawn to scale. Furthermore, the step numbers of the present invention are merely used to distinguish between different steps and do not represent the order of the steps. The above will be explained in advance.

[0021] Please refer to FIG. 1. FIG. 1 is a functional block diagram of a logistics transportation digital twin system 1 applied to a modularized clean room according to a specific embodiment of the present invention. This specific embodiment provides a logistics transportation digital twin system 1 applied to a modularized clean room. The system 1 includes a 3D model computing module 11, a sensing data processing module 12, a digital twin module 13, and a visual display module 14. The 3D model computing module 11 is for constructing a 3D model (not shown) of a modularized clean room (not shown) and an automated guided vehicle (not shown). In this specific embodiment, the modularized clean room includes multiple clean rooms, each of which includes multiple partitions for rapid assembly to form an interior space and an exterior area. The sensing data processing module 12 is connected to the 3D model computing module 11. The sensing data processing module 12 is for sensing clean room parameters of the modularized clean room and operating parameters of the automated guided vehicle to generate corresponding clean room sensing data and operating sensing data. In this specific embodiment, the cleanroom parameters may further include one or more of personnel parameters, equipment parameters, material parameters, and environmental parameters. For example, the environmental parameters may include data such as temperature, humidity, airflow, and particle concentration to instantly reflect the environmental conditions of the cleanroom. However, in actual applications, the types and quantities of cleanroom parameters are not limited to those described above and can be expanded and configured according to user needs, production line needs, or application scenarios. The digital twin module 13 is connected to the 3D model calculation module 11 and the detection data processing module 12. The digital twin module 13 maps the obtained cleanroom detection data and operational detection data to the 3D model and performs simulation calculations to generate 3D calculation results, which can simulate the logistics transportation and human-machine interaction situations in the actual space, and provide predictive analysis and abnormality warnings.The visual display module 14 is connected to the digital twin module 13 and instantly displays the three-dimensional calculation results of the above simulation using a graphical user interface, allowing users to observe the transportation status, personnel flow, equipment layout, and environmental changes within the modularized clean room through the display interface.

[0022] In this specific embodiment, the 3D model calculation module 11, the sensing data processing module 12, the digital twin module 13, and the visual display module 14 are further synchronized via wireless communication (Wi-Fi, Zigbee, 5G) or wired communication (Ethernet, RS-485) to provide real-time operational monitoring capabilities and support decision-making analysis and operation optimization. In practical application, the 3D model calculation module 11, the sensing data processing module 12, the digital twin module 13, and the visual display module 14 of the logistics transportation digital twin system 1 applied to the modularized cleanroom may be integrated into the central processing unit of a computer system or cloud system, or into an integrated chip, to facilitate system deployment and rapid installation at multiple locations.

[0023] Furthermore, in this specific embodiment, the logistics and transportation digital twin system applied to the modular cleanroom may be further connected to a manufacturing execution system (MES). The MES monitors, tracks, and records the production process, and collects and organizes various production data, including the cleanroom detection data and the operation detection data, in real time, to effectively manage and control the entire production process. Furthermore, data synchronization and simulation interaction with the digital twin module 13 may further integrate and process various production-related data, including, but not limited to, work slip progress, equipment (machine) operation status, quality inspection records, personnel shift information, material usage information, and environmental monitoring parameters. This allows for instant understanding of the entire manufacturing process and intelligent decision-making support. The data integration and visualization simulation capabilities provided by this system not only improve the transparency and response speed of the entire manufacturing process, but also enable immediate recognition of potential production line bottlenecks and abnormal conditions, effectively enhancing the system's early warning capability and decision-making efficiency, thereby achieving the goal of data-driven smart manufacturing.

[0024] In this specific embodiment, the logistics and transportation digital twin system 1 applied to a modular clean room can be applied to a cell factory. The cell factory may also be a contract development and manufacturing organization (CDMO) cell factory. Furthermore, each partition plate may be a movable partition plate. The partition plate material may be stainless steel, aluminum alloy, high-pressure laminate (HPL), or other composite materials. Each partition plate can be quickly attached or detached via connecting members such as sealing strips, tenons, or connecting clips. The interior space of each clean room may be an airtight space, and a positive pressure and laminar flow are maintained in the airtight space to ensure that the interior space of the clean room reaches a predetermined cleanliness class. The predetermined cleanliness class may be Class 4 (compliant with ISO8 standards). In practice, the materials and connecting members of the partition plates are not limited to these and may be adjusted and designed according to user needs and production needs or specifications.

[0025] The modular clean room can be assembled using movable partitions, improving the space utilization efficiency within the cell factory and allowing for quick and flexible planning of the space required for each schedule according to production demand. The use of multiple partitions to quickly assemble multiple internal areas improves the overall flexibility and production efficiency of the cell factory. Furthermore, in this specific embodiment, the partitions, which are capable of quick assembly and disassembly, allow each clean room to be an independent and isolated space. Therefore, when the modular clean room digital twin system 1 provided by the present invention is applied to a CDMO cell factory, even if equipment in the cell factory requires downtime and maintenance, it can adjust the number of clean rooms or move clean rooms to different locations to accommodate downtime, maintenance, or production schedules, depending on the length and circumstances of the equipment downtime and maintenance period. Furthermore, the layout of each clean room and the traffic flow of automated transport equipment within the cell factory can be adjusted according to the need for independence or rotational downtime of the equipment within each clean room, or based on real-time schedules. In this way, when a cell factory faces a need for shutdown, the modular cleanroom logistics transportation digital twin system 1 provided by the present invention can not only effectively avoid the well-known situation where the entire factory has to be shut down, resulting in production line stagnation, but also, according to the adjusted production line route, the cleanroom modules in the cell factory can be moved to the appropriate position or quickly removed, and then the allocation of the internal production lines can be immediately adjusted.By combining modular cleanroom design with digital twin technology, the present invention can quickly adjust the spatial layout according to production line demand, significantly improving the flexibility of the production schedule and space utilization rate, and making the factory layout more flexible and adaptable.The system has a built-in digital twin simulation function for multiple clean rooms, allowing for real-time analysis of the interconnectedness and logistics bottlenecks between multiple clean rooms, thereby improving the collaborative efficiency of parallel production on multiple production lines and meeting high-demand production formats such as CDMO.

[0026] In one embodiment, rails may be pre-installed within the logistics transportation digital twin system applied to a modular clean room, allowing the automated transport equipment to be transported along the pre-installed rails. The rails may be magnetic strips or actual rails to ensure that the automated transport equipment travels along a fixed route. In another embodiment, the automated transport equipment may be driven by a non-rail driving method, such as laser light route guidance, visual recognition, or positioning using a map of the CDMO cell factory set up within the system, allowing the automated transport equipment to move freely within the CDMO cell factory without relying on physical rails. This allows for flexible schedules and changes in the equipment layout within the CDMO cell factory, making it possible to adapt to more complex and diverse production environments. In this specific embodiment, integration with the digital twin module 13 allows the automated transport equipment to be transported and dispatched via remote control, and also allows for real-time monitoring of the operating status, power status, etc. of each automated transport equipment. This not only improves transportation efficiency, but also allows for monitoring whether the automated transport equipment's transportation route and schedule are correct, thereby achieving highly efficient and accurate automated transportation of raw materials and waste materials. Through smart AGV dispatching and digital twin logistics simulation, the system can instantly optimize logistics routes, intelligently avoid AGV route overlaps and congestion problems, significantly improve the overall efficiency of logistics dispatching, and realize a highly efficient and smooth production process.

[0027] In this invention, the automated transport equipment includes automated guided vehicles (AGVs), robotic dogs, and other smart mobility equipment with automatic navigation capabilities, such as autonomous mobile robots (AMRs) and bionic robots with multi-legged locomotion mechanisms, to meet the logistics needs of different production sites. To ensure efficient transportation of materials and waste, the automated transport equipment can automatically select the most appropriate driving mode and route based on the dispatch strategy of a logistics transportation digital twin system. Furthermore, to withstand the corrosive environment caused by hydrogen peroxide (H2O2) or other acidic or alkaline chemicals commonly used in production line cleaning and disinfection, the structural components and housing of the automated transport equipment must be made of acid- and alkali-resistant materials. Specifically, Type 316 stainless steel has excellent corrosion resistance to hydrogen peroxide at a volume concentration of 30% or more and can be used to manufacture the structural components and housing. Furthermore, an anodized aluminum alloy may be used, which is suitable for coating the surface of the housing because the corrosion resistance is significantly improved by the formation of a surface oxide layer, thereby ensuring stable operation of the automated transport device over the long term even in harsh environments.

[0028] FIG. 2 is a functional block diagram of a logistics transportation digital twin system 2 applied to a modular cleanroom according to a specific embodiment of the present invention. The difference between this specific embodiment and the previous specific embodiments is that the detection data processing module 12 in the logistics transportation digital twin system 2 applied to the modular cleanroom of this specific embodiment can further include at least one sensing device 121. The sensing device 121 detects the operating status of the modular cleanroom and the automated guided vehicle. The at least one sensing device is installed on the partition and positioned at the boundary between the internal space and the external area to instantly monitor the cleanliness of the internal space, the logistics trends in the external area, and the driving trajectory of the automated guided vehicle. In practice, the sensing device 121 may further include one or more of a camera, a temperature sensor, a humidity sensor, an air quality sensor, a particulate concentration sensor, a personnel and equipment tracking sensor, and an automated guided vehicle position and operating status sensor. The above sensing device further monitors cleanroom video, air quality, air velocity, temperature and humidity, equipment operating status, and logistics delivery data. In addition, the other modules, models and corresponding functions in the logistics transportation digital twin system 2 applied to the modularized clean room of this specific embodiment are generally the same as the corresponding modules in the above-mentioned specific embodiment, so their explanation will be omitted.

[0029] The logistics transportation digital twin system 2 applied to the modular cleanroom of the present invention may have other embodiments in addition to the above-mentioned embodiments. Please refer to FIG. 3. FIG. 3 is a functional block diagram of the logistics transportation digital twin system 3 applied to the modular cleanroom according to a specific embodiment of the present invention. The difference between this specific embodiment and the previous specific embodiments is that the digital twin module 13 in the logistics transportation digital twin system 3 applied to the modular cleanroom of this specific embodiment may further include a data computing and analysis unit 131 and a cleanroom operation simulation unit 132. In this specific embodiment, the data computing and analysis unit 131 may perform analysis based on the cleanroom detection data and the operation detection data, and predict the transportation behavior of the automated guided vehicle in the modular cleanroom using a machine learning model to generate an optimized transportation route for the automated guided vehicle. The cleanroom operation simulation unit 132 may simulate the dynamic changes in airflow in the interior space of the cleanroom, the contamination diffusion route, and the transportation route of the automated guided vehicle in the external area of ​​the cleanroom, and optimize the transportation route using a machine learning model to provide an optimized transportation route. In practice, the visual display module 14 may also provide an operating interface for computers, mobile phones, and tablets, allowing users to instantly monitor and manually set the optimized transportation route. Note that the other modules, models, and corresponding functions in the logistics transportation digital twin system 3 applied to the modularized cleanroom of this specific embodiment are substantially the same as the corresponding modules in the aforementioned specific embodiment, and therefore will not be described here.

[0030] In another specific embodiment of the present invention, the interior space is adapted to a high-cleanliness production environment, and the exterior area is adapted to a material transportation area and an equipment storage area. An automated guided vehicle is disposed in the exterior area of ​​the modular clean room and is used to deliver materials or equipment into the interior space through the docking windows. The automated guided vehicle further comprises a main body and an interior chamber. The interior chamber is installed within the main body. The interior chamber has a connecting member corresponding to the docking windows and for delivering an object into the interior area through the docking windows. Each docking window further comprises a first docking window and a second docking window, respectively, and the items further include a first item and a second item. The automated transport device is for transporting the first item into the interior space through the first docking window and the second item to the exterior area through the second docking window, and further, the geometrical outline of the first docking window is different from the geometrical outline of the second docking window.

[0031] In another embodiment, when an automated transporter is applied to a cell factory, the internal cabin of the automated transporter can maintain laminar airflow and positive pressure to ensure cleanliness and safety during transport of goods (e.g., raw materials). Sterilization equipment, such as hydrogen peroxide sterilization or ultraviolet disinfection equipment, may be further installed in the internal cabin of the automated transporter to prevent and reduce the probability of cross-contamination. Furthermore, the automated transporter can be docked with various types of specialized equipment, such as an isolator, a restricted access barrier system (RABS), a biosafety cabinet (BSC), or a material airlock (MAL). This allows the automated transporter to further separate raw materials and waste.

[0032] In another embodiment, to further ensure the production environment within the cell factory, the automatic transport device may further include a particle monitoring function that can instantly monitor the particle count in the surrounding area to ensure that the cleanliness of the environment during operation meets standards. The automatic transport device system also includes a smart scheduling function that can automatically allocate transport tasks according to the power supply of the equipment and the sterilization state of the internal cabin, thereby improving transport efficiency within the cell factory.

[0033] In another embodiment, the logistics transportation digital twin system applied to the modular cleanroom may include a first automated transport device and a second automated transport device, each of which transports a different type of specific item. For example, the first automated transport device transports a first item (e.g., raw materials) and is dedicated to entering the interior space through a first docking window, while the second automated transport device transports a second item (e.g., waste) and is used to transport it to the exterior area through a second docking window. The logistics transportation digital twin system applied to the modular cleanroom of the present invention can not only effectively improve the accurate transportation of materials, but also effectively reduce the risk of cross-contamination.

[0034] As described above, the present invention provides a digital twin system for logistics transportation applied to modular cleanrooms, which comprehensively resolves the problems of conventional technologies, such as rigid production schedules, difficulty in linking multiple cleanrooms, reduced logistics efficiency, and insufficient supervision, and fully utilizes its technological advantages and innovative features. By combining modular cleanroom design with digital twin technology, the present invention enables rapid adjustment of spatial layout according to production line needs, significantly improving production schedule flexibility and space utilization, and making factory layout more flexible and adaptable. The system's built-in digital twin simulation function for multiple cleanrooms can instantly analyze the interconnection effects and logistics bottlenecks between multiple cleanrooms, thereby improving the collaborative efficiency of parallel production across multiple production lines and meeting high-demand production patterns such as CDMO. Furthermore, through intelligent AGV dispatching and digital twin logistics simulation, the system can instantly optimize logistics routes, intelligently avoiding AGV route overlaps and congestion, significantly improving the overall efficiency of logistics dispatching and achieving a highly efficient and smooth production process. Furthermore, the present invention breaks through the limitation of conventional technologies that can only monitor a single production area and integrates the collaborative simulation of multiple clean rooms with real-time logistics dispatching to achieve intelligent management of the entire process from production to logistics. This not only effectively improves production efficiency, but also significantly reduces the risk of cross-contamination and production interruptions caused by logistics bottlenecks, ensuring production stability and reliability. Finally, the present invention's real-time data analysis and smart dispatching capabilities enable it to quickly respond to diverse production demands and realize data-driven optimized decision-making, thereby comprehensively improving the reliability, flexibility, and operational efficiency of clean room production environments.

[0035] The detailed description of the preferred specific embodiments above is intended to more clearly explain the features and spirit of the present invention, and the preferred specific embodiments disclosed above are not intended to limit the scope of the present invention. On the contrary, the intention is to include all modifications and equivalent structures within the scope of the claims to be filed by the present invention. Therefore, the scope of the claims to be filed by the present invention should be interpreted in the broadest possible manner based on the above description so as to include all possible modifications and equivalent structures. [Explanation of symbols]

[0036] 1, 2, 3 Logistics Transportation Digital Twin System Applied to Modular Cleanroom 11 3D model calculation module 12. Detection data processing module 121 Sensing Device 13 Digital Twin Module 131 Data Computing and Analysis Unit 132 Cleanroom Operation Simulation Unit 14 Visual Display Module

Claims

1. A logistics transportation digital twin system applied to a modular clean room, the system comprising: A three-dimensional model calculation module for constructing a three-dimensional model of a modularized clean room and an automated guided vehicle, wherein the modularized clean room comprises a plurality of clean rooms, each of which comprises a plurality of partitions for rapid assembly to form an interior space and an exterior area; a sensing data processing module connected to the three-dimensional model calculation module, for sensing clean room parameters of the modularized clean room and operation parameters of the automatic guided vehicle to generate corresponding clean room sensing data and operation sensing data; a digital twin module connected to the three-dimensional model calculation module and the detection data processing module, for generating three-dimensional calculation results by performing simulation calculations on the clean room detection data and the operation detection data in correspondence with the three-dimensional model; and A logistics transportation digital twin system applied to a modularized clean room, comprising a visual display module connected to the digital twin module for visualizing and displaying the three-dimensional calculation results.

2. 2. The logistics transportation digital twin system applied to the modular cleanroom according to claim 1, further connected to a manufacturing execution system for effectively managing and controlling the production process by monitoring, tracking, and recording the production process and collecting and organizing the cleanroom detection data and the operation detection data in real time.

3. A logistics transportation digital twin system applicable to a modular clean room as described in claim 1, which is applicable to a cell factory, wherein each of the partition plates is a movable partition plate, the internal space of each of the clean rooms is an airtight space, and the airtight space is maintained at a positive pressure and a laminar flow, thereby enabling the internal space of the clean room to reach a predetermined cleanliness class.

4. A logistics and transportation digital twin system applied to a modular clean room as described in claim 3, wherein when the cell factory assigns a shutdown, maintenance, or production schedule, the clean room matches a specific one of the clean rooms to the shutdown, maintenance, or production schedule by quickly removing the movable partition based on the shutdown or production schedule.

5. The sensor data processing module includes:

4. A logistics transportation digital twin system applicable to a modular clean room as described in claim 3, further comprising at least one sensing device for detecting the operating status of the modular clean room and the automated guided vehicle, the sensing device being installed on one of the partition plates and positioned at the boundary between the internal space and the external area, thereby instantly monitoring the cleanliness of the internal space, the logistics trends in the external area, and the operating trajectory of the automated guided vehicle.

6. The digital twin module comprises:

2. The logistics transportation digital twin system applicable to the modular clean room according to claim 1, further comprising a data calculation and analysis unit for performing analysis based on the clean room detection data and the driving detection data, and predicting the transportation behavior of the automated guided vehicle in the modular clean room using a machine learning model, thereby generating an optimized transportation route for the automated guided vehicle.

7. The digital twin module comprises:

2. The logistics transportation digital twin system applied to the modular clean room described in claim 1, further comprising a clean room operation simulation unit for simulating dynamic changes in airflow in the internal space of the clean room, contamination diffusion routes, and transportation routes of the automated guided vehicle in the external area of ​​the clean room, and optimizing the transportation routes using a machine learning model to provide an optimized transportation route.

8. The logistics transportation digital twin system applied to a modular clean room according to claim 1, wherein the internal space is applied to a high-cleanliness production environment, and the external area is applied to a material transportation area and an equipment storage area.

9. The automated guided vehicle is disposed in the external area of ​​the modularized clean room and is used to send materials or equipment into the internal space through a docking window, and the automated guided vehicle The main body, and A logistics transportation digital twin system applied to a modular clean room as described in claim 8, further comprising an internal chamber installed within the main body, the internal chamber corresponding to the docking window and equipped with a connecting member for sending objects into the internal space through the docking window.

10. 10. The logistics transportation digital twin system applied to a modular clean room as described in claim 9, wherein each docking window further comprises a first docking window and a second docking window, the items further include a first item and a second item, and an automated transport device is for transporting the first item to the interior space through the first docking window and the second item to the exterior area through the second docking window, and further, the geometric outline of the first docking window is different from the geometric outline of the second docking window.

11. The logistics transportation digital twin system applied to a modular clean room according to claim 1 , wherein the clean room parameters further include one or more of personnel parameters, equipment parameters, material parameters, and environmental parameters.

12. The logistics transportation digital twin system applied to the modularized clean room of claim 1, wherein the 3D model calculation module, the detection data processing module, the digital twin module, and the visual display module further synchronize data via wireless communication or wired communication, thereby providing real-time operation monitoring.

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