An aviation industry meta-universe platform construction system and method

Abstract

This invention relates to the fields of industrial digitalization and computer science technology, specifically to a system and method for constructing a metaverse platform for the aviation industry; a digital twin model is constructed through an industrial metaverse modeling sub-platform, and the digital twin model is identified by a non-fungible token and published to a blockchain node; application scenarios of digital aircraft, digital factories, and digital supply chains in the metaverse space are constructed through an industrial metaverse interaction sub-platform; virtual mission images are constructed through an industrial metaverse application sub-platform to achieve human-computer interaction; and human-computer interaction is conducted through blockchain, providing a big data sharing platform for the aviation industry, reducing the difficulty of digital twin modeling, and improving the retrieval efficiency of human-computer interaction.

Description

Technical Field

[0001] This invention relates to the fields of industrial digitalization and computer science technology, and more specifically, to a system and method for constructing a metaverse platform for the aerospace industry. Background Technology

[0002] As a product of the highly developed digital information technology, the Industrial Metaverse is a new industrial ecosystem that deeply integrates emerging information technologies with the real industrial economy. By integrating technologies such as artificial intelligence, digital twins, extended reality (virtual reality / augmented reality / mixed reality, VR / AR / MR), blockchain, the Internet of Things, and cloud computing, it enables seamless connections between people, machines, things, and systems, achieving the integration of digital technology with real-world industry and promoting the efficient development of the real industry.

[0003] In promoting the digital transformation and intelligent aviation construction in the aviation industry, a variety of emerging information technologies have been introduced, such as artificial intelligence technology, digital twin technology, extended reality technology, blockchain technology, Internet of Things technology, and next-generation communication technology (5G, etc.). These technologies have achieved good application results in local and single-point applications such as product quality inspection and equipment fault diagnosis. However, the aviation industry has prominent characteristics such as complex research and development objects (aircraft involve millions of parts), complex research and development process (aircraft research and development involves more than a dozen specialties), and complex supply chain (aircraft research and development involves hundreds of suppliers). The application of any single technology or single system is difficult to meet the digital transformation needs of the whole aircraft, factory and supply chain. There are still common problems such as: (1) lack of multi-level digital twin modeling platforms and tools, low integration of various models and low degree of cyber-physical integration; (2) lack of multi-technology integrated application system, low integration of complex scenario technologies and no prominent application effect; (3) lack of intelligent interaction tools and platforms, and problems such as multiple levels of menu nesting, slow information retrieval and low efficiency in the traditional human-computer interaction mode. Summary of the Invention

[0004] This invention addresses the aforementioned problems of difficult digital twin modeling, low technical integration, and low human-computer interaction efficiency. It proposes an aviation industry metaverse platform construction system and method. The system constructs digital twin models through an industrial metaverse modeling sub-platform, identifies these models using non-fungible tokens, and publishes them to blockchain nodes. An industrial metaverse interaction sub-platform constructs application scenarios for digital aircraft, digital factories, and digital supply chains within the metaverse space. An industrial metaverse application sub-platform constructs virtual mission avatars to achieve human-computer interaction. Human-computer interaction is conducted via blockchain, providing the aviation industry with a big data sharing platform, reducing the difficulty of digital twin modeling, and improving the retrieval efficiency of human-computer interaction.

[0005] The specific implementation details of this invention are as follows:

[0006] An aviation industry metaverse platform construction system includes an industrial metaverse modeling sub-platform, an industrial metaverse application sub-platform, and an industrial metaverse interaction sub-platform connected in sequence.

[0007] The industrial metaverse modeling sub-platform is used to construct digital twin models and identify the digital twin models according to non-fungible tokens; the digital twin models include park models, factory models, workshop models, production line models, equipment models, and product models;

[0008] The industrial metaverse application sub-platform is used to construct digital aircraft, digital factories, and digital supply chains in the metaverse space according to the product dimension, production organization dimension, and value dimension of the digital twin model, respectively.

[0009] The industrial metaverse interaction sub-platform is used to construct aviation character images based on an artificial intelligence engine and to facilitate human-computer interaction based on an intelligent voice engine, an intelligent search engine, and virtual reality devices.

[0010] To better realize the present invention, the industrial metaverse modeling sub-platform further includes a digital twin modeling module and a blockchain module;

[0011] The digital twin modeling module is used to construct model tool components in the metaverse space, construct a digital twin model based on the tool components, and identify the digital twin model based on a non-fungible token; the tool components include processing tool components, scene rendering tool components, data access tool components, and model integration tool components;

[0012] The blockchain module is used to store the digital twin model to the blockchain node in a distributed storage manner.

[0013] To better realize the present invention, the digital twin modeling module further includes a model processing component, a scene rendering component, an IOTDB data interface, a data middle platform data interface, a mechanism model interface, and a twin model management and publishing component;

[0014] The model processing component first imports the established CAD model; then merges triangular faces, deletes invisible features and faces, and generates a lightweight model; finally, it performs texture mapping and material rendering, converts the lightweight model into a 3D model in glTF format, and imports it into a 3D model library.

[0015] The scene rendering component first assembles the 3D model into different levels of 3D models according to the spatial topology of the model; then it adds skyboxes, ambient light, shadows, roads and their ancillary facilities, and vegetation landscapes to form a 3D virtual scene; finally, it arranges and dynamically loads the 3D models of different levels according to the relationship from largest to smallest, based on the park, factory, workshop, production line, and equipment; when at the park level, it loads the 3D models of the park and factory levels; when at the factory level, it only loads the workshop, production line, and equipment of the current factory.

[0016] The IOTDB data interface is used to obtain device status and operating parameters from the Internet of Things time series database, and associate them with the corresponding device virtual model and scene in the form of virtual Andon and head-up display;

[0017] The data interface of the data platform is used to obtain production operation, product quality, and plan execution data and information from the data platform, and associate them with the corresponding virtual scene in the form of 3D dashboards and 3D charts; the data platform includes data maintenance platforms for ERP, MES, PDM, OA, HR, and CPM business systems;

[0018] The mechanism model interface is used to uniformly obtain mechanism models from users according to the FMI 2.0 protocol; the mechanism models include CAE simulation models, logistics simulation models, and scientific computing models;

[0019] The twin model management and publishing component is used to associate the 3D model, the IOTDB data interface, and the mechanism model with digital twin models at different levels and publish them.

[0020] To better realize the present invention, the industrial metaverse application sub-platform further includes a digital aircraft application module, a digital factory application module, and a digital supply chain application module.

[0021] The digital aircraft application module is used to associate digital twin models at different levels with xBOM in the metaverse space according to product dimensions and aircraft development process, to build a data history archive of the entire aircraft development process, and to deliver physical and digital aircraft simultaneously.

[0022] The product dimensions include in-process, semi-finished, and finished products; the different levels of digital twin models include part digital twin models, component digital twin models, sub-component digital twin models, segment digital twin models, and complete aircraft digital twin models; the xBOM includes engineering BOM, manufacturing BOM, and assembly BOM; the data history archive includes aircraft design process archive, manufacturing process archive, assembly process archive, and flight test process archive.

[0023] The digital factory application module is used to organize digital twin models of different levels in the metaverse space according to the production organization dimension, production organization relationship and hierarchy, to reproduce the aircraft production process; the aircraft production process includes equipment operating status and parameters, workshop logistics process, production planning and execution process, and production process disturbance and handling process.

[0024] The digital supply chain application module is used to organize digital twin models of the supply chain at different value chain stages in the metaverse space according to value dimensions and value chain relationships, and to manage the value flow of aircraft; the value chain relationships include order value chain, planning value chain, procurement value chain, production value chain, and delivery value chain.

[0025] To better realize the present invention, the industrial metaverse interaction sub-platform further includes an artificial intelligence engine module and a digital human interaction module;

[0026] The artificial intelligence engine module is used to build intelligent voice question answering tool components, intelligent process search tool components, knowledge reasoning tool components, and robotic process automation tool components;

[0027] The digital human interaction module is used to construct a metaverse entrance in a human-like manner and establish relationships between different application scenarios, business systems, and users; the human-like manner includes cartoon character images and simulated character images.

[0028] To better realize the present invention, the digital human interaction module further includes a digital human modeling component, a digital avatar component, a digital assistant component, and a digital tour guide component;

[0029] The human modeling component is used to create different characters in the form of cartoon characters and simulated characters, and to conduct voice dialogue, search, and reasoning based on an artificial intelligence engine; the different characters include digital avatars, digital assistants, and digital tour guides;

[0030] The digital avatar component is used to create a uniquely identified digital avatar based on the virtual character's image, replacing the user in performing virtual roaming, scene transitions, human-to-human interactions, and virtual operations within the metaverse scene. The virtual roaming allows the digital avatar to naturally enter scenes such as factories, workshops, production lines, and equipment from the park. The scene transitions refer to the digital avatar quickly jumping to the corresponding virtual workshop or other metaverse scenes via a scene selection menu. Human-to-human interactions refer to communication and dialogue between digital avatars with different identities. The virtual operations refer to the virtual operation of the digital avatar on different levels of digital twin models within the metaverse scene, such as digital twin devices and digital twin products.

[0031] The digital assistant component is used to create a uniquely identified digital assistant based on the virtual character image. By associating with the user's employee ID, it automatically obtains the user's job title and responsibilities information, and integrates data from business systems such as OA, CPM, HR, and finance. Based on artificial intelligence engines such as RPA and knowledge reasoning, it assists users in handling transactional tasks such as daily arrangements, meeting appointments, plan nodes and progress feedback, leave requests, expense reimbursements, report statistics, and document processing.

[0032] The digital tour guide component is used to create digital tour guides based on the virtual character image; the novel human-computer interaction method refers to realizing the system's keyboard and mouse operation, interface navigation, and process search through intelligent question and answer.

[0033] To better realize this invention, a method for constructing an aviation industry metaverse platform is further proposed, which is based on the above-mentioned aviation industry metaverse platform construction system. The construction of the digital twin model specifically includes the following steps:

[0034] Step A1: Based on the physical objects in the aviation industry production site, construct a 3D model of the physical objects using methods such as map surveying, 3D modeling, model simplification, and importing third-party models, and submit it to the digital twin modeling module;

[0035] Step A2: Lighten the 3D model of the entity object according to the model processing component, and render the lightweight 3D model with texture mapping and material rendering, and save it to the geometry model library in glTF format; the lightweight processing includes triangulation, face merging and deletion, feature deletion, PMI information deletion, and component merging;

[0036] Step A3: Call the scene rendering component to assemble the lightweight 3D model according to the spatial position relationship, perform environment rendering, scene arrangement, and dynamic loading operations to form a 3D virtual scene library of park, workshop, production line, and product.

[0037] Step A4: Based on the IOTDB database established in the aviation industry production process, call the corresponding data interface component to obtain the equipment status and operating parameters, and associate the equipment status and operating parameters in the IOTDB database with the corresponding virtual equipment in the 3D virtual scene according to the code development component;

[0038] Step A5: Obtain data information from the data platform according to the data platform data interface, and associate the data information with the virtual factory, virtual workshop, virtual production line, virtual equipment and virtual products corresponding to the 3D virtual scene through low-code development components;

[0039] Step A6: According to the FMI2.0 protocol, unify the input and output formats of the mechanism model, and use FMU format data interaction to co-simulate the mechanism model;

[0040] Step A7: Based on the twin model management and rapid deployment components, integrate virtual scenes, data, and mechanism models to create and deploy digital twin models at different levels.

[0041] To better realize this invention, further, a digital aircraft, a digital factory, and a digital supply chain are constructed, specifically including the following steps:

[0042] Step B1: Use blockchain NFT technology to identify digital twin models of different entities;

[0043] Step B2: Link digital twin models of different levels and states to xBOM, integrate data history archives of the entire aircraft development process, and build digital aircraft applications;

[0044] Step B3: Combine different production organization relationships and digital twin models at different levels to build digital factory applications;

[0045] Step B4: Combine digital twin models of the supply chain at different value chain stages to build digital supply chain applications;

[0046] Step B5: Integrate digital aircraft applications, digital factory applications, and digital supply chain applications to build an industrial metaverse application sub-platform, which will reproduce physical aircraft, physical factories, and physical supply chains in the metaverse space.

[0047] To better realize the present invention, the human-computer interaction of the industrial metaverse interaction sub-platform further includes the following steps:

[0048] Step C1: Create virtual character images for different roles based on the digital human modeling components;

[0049] Step C2: Build an artificial intelligence engine that includes intelligent voice question answering, intelligent search, knowledge reasoning, and robotic process automation;

[0050] Step C3: Based on the digital avatar component and the virtual character image, create a uniquely identified digital avatar to replace the metaverse scene for virtual roaming, scene transitions, human-to-human interaction, and virtual operations. Also, create a uniquely identified digital assistant through the digital assistant component and the virtual character image. Obtain the user's job title and responsibilities information through the associated user ID and integrate business system data. Create a digital guide through the digital tour guide component and the virtual character image. Based on an artificial intelligence engine, construct a human-computer interaction system that replaces the system's keyboard and mouse operations, interface transitions, and process searches with intelligent question-and-answer functionality.

[0051] The present invention has the following beneficial effects:

[0052] (1) This invention constructs an industrial metaverse modeling sub-platform, an industrial metaverse interaction sub-platform, and an industrial metaverse application sub-platform, and uses blockchain to conduct human-computer interaction, providing a big data sharing platform for the aviation industry, reducing the difficulty of digital twin modeling, and improving the retrieval efficiency of human-computer interaction.

[0053] (2) This invention supports technical personnel in various professional fields to quickly build their own digital twin models, and solves the problems of difficulty in digital twin modeling and lack of tools and methods; to a certain extent, it solves the problems of low technology integration and lack of application effectiveness.

[0054] (3) This invention supports intelligent voice question answering, digital human interaction, and rapid information retrieval, and solves the problems of multiple nested menu levels and low information retrieval efficiency in the traditional human-computer interaction mode. Attached Figure Description

[0055] Figure 1 This is a schematic diagram of the structure of the aviation industry metaverse platform construction method provided by the present invention.

[0056] Figure 2 This is a schematic diagram of the structure of the digital twin modeling module provided by the present invention.

[0057] Figure 3 A schematic diagram of the structure of the digital human interaction module provided by the present invention.

[0058] Figure 4 This is a schematic diagram illustrating the construction process of the industrial metaverse modeling sub-platform provided by the present invention.

[0059] Figure 5 This is a schematic diagram illustrating the construction process of the industrial metaverse application sub-platform provided by the present invention.

[0060] Figure 6 This is a schematic diagram illustrating the construction process of the industrial metaverse interaction sub-platform provided by the present invention. Detailed Implementation

[0061] To more clearly illustrate the technical solutions of the embodiments of the present invention, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments, and therefore should not be regarded as a limitation on the scope of protection. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "set up," "connected," and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0063] Example 1:

[0064] This embodiment proposes a metaverse platform construction system for the aviation industry, such as... Figure 1 The diagram shows the industrial metaverse modeling sub-platform, the industrial metaverse application sub-platform, and the industrial metaverse interaction sub-platform, which are connected in sequence.

[0065] The industrial metaverse modeling sub-platform is used to construct digital twin models and identify the digital twin models according to non-fungible tokens; the digital twin models include park models, factory models, workshop models, production line models, equipment models, and product models;

[0066] The industrial metaverse application sub-platform is used to construct digital aircraft, digital factories, and digital supply chains in the metaverse space according to the product dimension, production organization dimension, and value dimension of the digital twin model, respectively.

[0067] The industrial metaverse interaction sub-platform is used to construct aviation character images based on an artificial intelligence engine and to facilitate human-computer interaction based on an intelligent voice engine, an intelligent search engine, and virtual reality devices.

[0068] To better realize the present invention, the industrial metaverse modeling sub-platform further includes a digital twin modeling module and a blockchain module;

[0069] The digital twin modeling module is used to construct model tool components in the metaverse space, construct a digital twin model based on the tool components, and identify the digital twin model based on a non-fungible token; the tool components include processing tool components, scene rendering tool components, data access tool components, and model integration tool components;

[0070] The blockchain module is used to store the digital twin model to the blockchain node in a distributed storage manner.

[0071] Working principle: This embodiment constructs a digital twin model through the industrial metaverse modeling sub-platform, identifies the digital twin model using non-fungible tokens, and publishes it to blockchain nodes; through the industrial metaverse interaction sub-platform, it constructs application scenarios of digital aircraft, digital factories, and digital supply chains in the metaverse space; through the industrial metaverse application sub-platform, it constructs virtual mission images to realize human-computer interaction; and through blockchain-based human-computer interaction, it provides a big data sharing platform for the aviation industry, reduces the difficulty of digital twin modeling, and improves the retrieval efficiency of human-computer interaction.

[0072] Example 2:

[0073] This embodiment is based on the above embodiment 1, such as... Figure 2 As shown, the industrial metaverse modeling sub-platform includes a digital twin modeling module and a blockchain module;

[0074] The digital twin modeling module is used to construct model tool components in the metaverse space, construct a digital twin model based on the tool components, and identify the digital twin model based on a non-fungible token; the tool components include processing tool components, scene rendering tool components, data access tool components, and model integration tool components;

[0075] The blockchain module is used to store the digital twin model to the blockchain node in a distributed storage manner.

[0076] The digital twin modeling module includes a model processing component, a scene rendering component, an IOTDB data interface, a data platform data interface, a mechanism model interface, and a twin model management and publishing component.

[0077] The model processing component first imports the established CAD model; then merges triangular faces, deletes invisible features and faces, and generates a lightweight model; finally, it performs texture mapping and material rendering, converts the lightweight model into a 3D model in glTF format, and imports it into a 3D model library.

[0078] The scene rendering component first assembles the 3D model into different levels of 3D models according to the spatial topology of the model; then it adds skyboxes, ambient light, shadows, roads and their ancillary facilities, and vegetation landscapes to form a 3D virtual scene; finally, it arranges and dynamically loads the 3D models of different levels according to the relationship from largest to smallest, based on the park, factory, workshop, production line, and equipment; when at the park level, it loads the 3D models of the park and factory levels; when at the factory level, it only loads the workshop, production line, and equipment of the current factory.

[0079] The IOTDB data interface is used to obtain device status and operating parameters from the Internet of Things time series database, and associate them with the corresponding device virtual model and scene in the form of virtual Andon and head-up display;

[0080] The data interface of the data platform is used to obtain production operation, product quality, and plan execution data and information from the data platform, and associate them with the corresponding virtual scene in the form of 3D dashboards and 3D charts; the data platform includes data maintenance platforms for ERP, MES, PDM, OA, HR, and CPM business systems;

[0081] The mechanism model interface is used to uniformly obtain mechanism models from users according to the FMI 2.0 protocol; the mechanism models include CAE simulation models, logistics simulation models, and scientific computing models;

[0082] The twin model management and publishing component is used to associate the 3D model, the IOTDB data interface, and the mechanism model with digital twin models at different levels and publish them.

[0083] Working principle: The digital twin modeling module of this embodiment provides basic tools and components for modeling various digital twin models in the metaverse space, such as model processing, scene rendering, data access, and model integration. This enables technical personnel from different professional fields to easily create and publish their own digital twin models based on this module. The various digital twin models include product digital twins, production system digital twins, and supply chain digital twins. The blockchain module of this embodiment is used for asset confirmation, pricing, and trading of models, data, algorithms, and APPs in the metaverse space, as well as distributed storage of metaverse system data, ensuring the security and reliability of the system and data.

[0084] The model processing component is used for importing, lightweighting, format conversion, and model library management of mainstream CAD models. First, it imports CAD models created by software such as CATIA, PRO / E, and AutoCAD. Then, it merges triangles and faces, deletes invisible features and faces, and generates a lightweight model. Finally, it performs texture mapping and material rendering, converts the model to FBX format, and imports it into the 3D model library for unified management.

[0085] The scene rendering component is used to organize the processed 3D models according to their spatial relationships, render the environment, and arrange the scene. First, based on the spatial topology of the models, the 3D models are assembled into different levels of 3D models such as equipment, production lines, workshops, factories, and parks. Then, skyboxes, ambient light, shadows, roads and their ancillary facilities, vegetation, and landscapes are added to form a 3D virtual scene. Finally, the constructed 3D models of different levels are arranged and dynamically loaded according to the relationship from largest to smallest: park, factory, workshop, production line, and equipment. When at the park level, the 3D models of the park and factory levels are loaded; when at the factory level, only the workshops, production lines, and equipment of the current factory are loaded.

[0086] The IOTDB data interface is used to obtain device status and operating parameters from the IOTDB and associate them with the corresponding device virtual model and scene in the form of virtual Andon, Head-Up Display (HUD), etc.; the IOTDB refers to the Internet of Things time-series database.

[0087] The data interface of the data platform is used to obtain data and information such as production operations, product quality, and plan execution from the data platform, and associate them with the corresponding virtual scene in the form of 3D dashboards, 3D charts, etc.; the data platform refers to the unified management and consistency maintenance platform for data of business systems such as ERP, MES, PDM, OA, HR, CPM, etc.

[0088] The mechanism model interface is used to support the access and unified management of user-built mechanism models; the mechanism models include, but are not limited to, CAE simulation models, logistics simulation models, scientific computing models, etc.; the access and unified management of the mechanism models are implemented based on the FMI 2.0 standard.

[0089] The twin model management and publishing component is used to associate 3D models, data interfaces, and mechanism models into digital twin models of different levels and publish them.

[0090] The other parts of this embodiment are the same as those in Embodiment 1 above, so they will not be described again.

[0091] Example 3:

[0092] This embodiment is based on any one of Embodiments 1-2 above, such as Figure 3 As shown, the industrial metaverse interaction sub-platform includes an artificial intelligence engine module and a digital human interaction module;

[0093] The artificial intelligence engine module is used to build intelligent voice question answering tool components, intelligent process search tool components, knowledge reasoning tool components, and robotic process automation tool components;

[0094] The digital human interaction module is used to construct a metaverse entrance in a human-like manner and establish relationships between different application scenarios, business systems, and users; the human-like manner includes cartoon character images and simulated character images.

[0095] Furthermore, the digital human interaction module includes a digital human modeling component, a digital avatar component, a digital assistant component, and a digital tour guide component;

[0096] The human modeling component is used to create different characters in the form of cartoon characters and simulated characters, and to conduct voice dialogue, search, and reasoning based on an artificial intelligence engine; the different characters include digital avatars, digital assistants, and digital tour guides;

[0097] The digital avatar component is used to create a uniquely identified digital avatar based on the virtual character's image, replacing the user in performing virtual roaming, scene transitions, human-to-human interactions, and virtual operations within the metaverse scene. The virtual roaming allows the digital avatar to naturally enter scenes such as factories, workshops, production lines, and equipment from the park. The scene transitions refer to the digital avatar quickly jumping to the corresponding virtual workshop or other metaverse scenes via a scene selection menu. Human-to-human interactions refer to communication and dialogue between digital avatars with different identities. The virtual operations refer to the virtual operation of the digital avatar on different levels of digital twin models within the metaverse scene, such as digital twin devices and digital twin products.

[0098] The digital assistant component is used to create a uniquely identified digital assistant based on the virtual character image. By associating with the user's employee ID, it automatically obtains the user's job title and responsibilities information, and integrates data from business systems such as OA, CPM, HR, and finance. Based on artificial intelligence engines such as RPA and knowledge reasoning, it assists users in handling transactional tasks such as daily arrangements, meeting appointments, plan nodes and progress feedback, leave requests, expense reimbursements, report statistics, and document processing.

[0099] The digital tour guide component is used to create digital tour guides based on the virtual character image; the novel human-computer interaction method refers to realizing the system's keyboard and mouse operation, interface navigation, and process search through intelligent question and answer.

[0100] Working principle: The digital human modeling component provided in this embodiment is used to create different characters in the form of cartoon characters and simulated characters, and with the assistance of an artificial intelligence engine, realize some human functions, such as voice dialogue, search, reasoning, etc.; the different characters include but are not limited to digital avatars, digital assistants, digital tour guides, etc.

[0101] The digital avatar component provided in this embodiment creates a unique digital avatar for each user based on the virtual character image created by the digital human modeling component. This avatar replaces the user in carrying out activities such as virtual roaming, scene switching, human-to-human interaction, and virtual operation in the metaverse scene. The virtual roaming allows the digital avatar to naturally enter scenes such as factories, workshops, production lines, and equipment from the park. The scene switching refers to the digital avatar being able to quickly jump to the corresponding virtual workshop or other metaverse scene through the scene selection menu. The human-to-human interaction refers to the communication and dialogue between digital avatars with different identities. The virtual operation refers to the virtual operation of the digital avatar on different levels of digital twin models in the metaverse scene, such as digital twin devices and digital twin products.

[0102] The digital assistant component provided in this embodiment creates a unique digital assistant for each user based on the virtual character image created by the digital human modeling component. By associating with the user's employee ID, it automatically obtains the user's job title and responsibilities information, and integrates data from business systems such as OA, CPM, HR, and finance. Based on artificial intelligence engines such as RPA and knowledge reasoning, it assists users in handling transactional tasks such as daily arrangements, meeting appointments, plan nodes and progress feedback, leave requests, expense reimbursements, report statistics, and document processing.

[0103] The digital tour guide component provided in this embodiment creates a digital tour guide for the application system based on the virtual character image created by the digital human modeling component. Based on artificial intelligence engines such as intelligent voice question answering, intelligent search, and knowledge reasoning, it provides users with a new human-computer interaction method. The new human-computer interaction method refers to realizing the system's keyboard and mouse operation, interface navigation, process search, and other functions through intelligent question answering.

[0104] The other parts of this embodiment are the same as any one of the above embodiments 1-2, so they will not be described again.

[0105] Example 4:

[0106] This embodiment is based on any one of embodiments 1-3 above, such as Figure 4 As shown, the construction of the industrial metaverse modeling sub-platform specifically includes the following steps:

[0107] Step A1: Based on physical objects such as parks, factories, workshops, production lines, equipment, and products in the aerospace industry production site in the physical world, construct 3D models of the physical objects through map surveying, 3D modeling, model simplification, and importing third-party models, and submit them to the digital twin modeling module.

[0108] Step A2: Use the model processing component to perform lightweight processing on the submitted 3D model, such as triangulation, face merging and deletion, feature deletion, PMI information deletion, and component merging; after the lightweight 3D model is textured and material rendered, it is saved as a glTF file and stored in the geometry model library.

[0109] Step A3: Using the scene rendering component, the processed glTF model is assembled according to its spatial position, and the environment is rendered, the scene is arranged, and dynamically loaded to form a 3D virtual scene library of parks, workshops, production lines, and products.

[0110] Step A4: Based on the IOTDB established by the aerospace industry production process in the physical world, obtain the equipment status and operating parameters through the corresponding data interface components, and associate the equipment status and operating parameters in the IOTDB with the corresponding virtual devices in the three-dimensional virtual scene through the code development components, so as to realize the virtual-real synchronization and visualization monitoring of equipment status and operating parameters.

[0111] Step A5: Obtain product information, production plans, operational data, abnormal data, quality data, and other data and information from the data platform through the data platform data interface, and use low-code development components to associate the data and information with the corresponding virtual factories, virtual workshops, virtual production lines, virtual equipment, and virtual products in the 3D virtual scene to achieve data linkage and visual monitoring;

[0112] Step A6: Adopt the unified functional module interface standard FMI2.0 to standardize the input and output formats of the mechanism models developed by technical personnel in various professional fields using different simulation tools, and use the FMU format to perform data interaction and collaborative simulation of the mechanism models;

[0113] Step A7: Based on the twin model management and rapid deployment component, integrate virtual scenes, data, and mechanism models to create and deploy digital twin models at different levels.

[0114] The other parts of this embodiment are the same as any one of the embodiments 1-3 above, so they will not be described again.

[0115] Example 5:

[0116] This embodiment is based on any one of embodiments 1-4 above, such as Figure 5 As shown, the construction of the Industrial Metaverse Application Sub-platform includes the following steps:

[0117] Step B1 involves using blockchain NFT technology to uniquely identify, confirm ownership of, and publish data assets such as models, data, algorithms, and apps created by different entities, and then pricing and trading these assets in the form of virtual currency.

[0118] Step B2 links digital twin models of aircraft products at different levels and in different states to the xBOM, forming a data history archive of the entire aircraft development process. This archive covers models and data generated during the aircraft design, manufacturing, assembly, and flight testing processes, thus constructing digital aircraft applications. Different levels include parts, components, sub-components, sections, and the complete aircraft. Different states include in-process, semi-finished products, and finished products. The xBOM includes engineering BOM, manufacturing BOM, and assembly BOM, etc.

[0119] Step B3 involves organizing digital twin models of production systems with different production organizational relationships and levels to achieve aircraft production process reproduction, real-time production status monitoring, production simulation and predictive optimization, and to build digital factory applications.

[0120] Step B4 involves organizing the digital twin models of the supply chain at different value chain stages to achieve control over the aircraft value stream and build digital supply chain applications. These different value chain stages include order placement, planning, procurement, production, and delivery.

[0121] Step B5 integrates digital aircraft, digital factory, and digital supply chain applications to build an industrial metaverse application sub-platform, enabling the reproduction of physical aircraft, physical factories, and physical supply chains in the metaverse space.

[0122] The other parts of this embodiment are the same as any one of the embodiments 1-4 above, so they will not be described again.

[0123] Example 6:

[0124] This embodiment is based on any one of the embodiments 1-5 above, such as Figure 6 As shown, the construction of the industrial metaverse interaction sub-platform includes the following steps:

[0125] Step C1 involves creating cartoon and simulated human figures for different roles, such as digital avatars, digital assistants, and digital tour guides, using digital human modeling components. With the assistance of an artificial intelligence engine, these figures can perform some human functions, such as voice dialogue, search, and reasoning.

[0126] Step C2 involves building an artificial intelligence engine that includes intelligent voice question answering, intelligent search, knowledge reasoning, and robotic process automation (RPA) to provide algorithm, model, and computing power support for digital human applications.

[0127] Step C3 involves creating a unique digital avatar for each user based on the virtual avatar created by the digital human modeling component. This avatar replaces the user in activities such as virtual roaming, scene transitions, human-to-human interaction, and virtual operations within the metaverse scene. The digital assistant component, also based on the virtual avatar created by the digital human modeling component, creates a unique digital assistant for each user. By linking the user's employee ID, it automatically obtains the user's job title and responsibilities, and integrates data from business systems such as OA, CPM, HR, and finance. Based on AI engines such as RPA and knowledge reasoning, it assists users in handling daily tasks such as scheduling, meeting appointments, project milestones and progress feedback, leave requests, expense reimbursements, report statistics, and document processing. Finally, the digital guide component, based on the virtual avatar created by the digital human modeling component, creates a digital guide for the application system. Based on an AI engine, it constructs a new type of human-computer interaction that replaces keyboard and mouse operations, interface transitions, and process searches through intelligent question answering.

[0128] The other parts of this embodiment are the same as any one of the above embodiments 1-5, so they will not be described again.

[0129] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Any simple modifications or equivalent changes made to the above embodiments based on the technical essence of the present invention shall fall within the protection scope of the present invention.

Claims

1. A metaverse platform construction system for the aviation industry, characterized in that, It includes the Industrial Metaverse Modeling Sub-Platform, the Industrial Metaverse Application Sub-Platform, and the Industrial Metaverse Interaction Sub-Platform, which are connected in sequence. The industrial metaverse modeling sub-platform is used to construct digital twin models and identify the digital twin models according to non-fungible tokens; the digital twin models include park models, factory models, workshop models, production line models, equipment models, and product models; The industrial metaverse application sub-platform is used to construct digital aircraft, digital factories, and digital supply chains in the metaverse space according to the product dimension, production organization dimension, and value dimension of the digital twin model, respectively. The industrial metaverse interaction sub-platform is used to construct aviation character images based on an artificial intelligence engine and to enable human-computer interaction based on an intelligent voice engine, an intelligent search engine, and virtual reality devices. The industrial metaverse modeling sub-platform includes a digital twin modeling module and a blockchain module; The digital twin modeling module is used to construct model tool components in the metaverse space, construct a digital twin model based on the tool components, and identify the digital twin model based on a non-fungible token; the tool components include processing tool components, scene rendering tool components, data access tool components, and model integration tool components; The blockchain module is used to store the digital twin model to the blockchain node in a distributed storage manner; The digital twin modeling module includes a model processing component, a scene rendering component, an IOTDB data interface, a data platform data interface, a mechanism model interface, and a twin model management and publishing component. The model processing component is used to generate lightweight models and import them into a 3D model library. The scene rendering component is used to assemble the 3D model into different levels of 3D models according to the spatial topology of the model, and to arrange and dynamically load them. The IOTDB data interface is used to obtain device status and operating parameters from the Internet of Things time series database, and associate them with the corresponding device virtual model and scene in the form of virtual Andon and head-up display; The data interface of the data platform is used to obtain production operation, product quality, and plan execution data and information from the data platform, and associate them with the corresponding virtual scene in the form of 3D dashboards and 3D charts; the data platform includes data maintenance platforms for ERP, MES, PDM, OA, HR, and CPM business systems; The mechanism model interface is used to uniformly obtain mechanism models from users according to the FMI 2.0 protocol; the mechanism models include CAE simulation models, logistics simulation models, and scientific computing models; The twin model management and publishing component is used to associate the 3D model, the IOTDB data interface, and the mechanism model with digital twin models at different levels and publish them.

2. The aviation industry metaverse platform construction system according to claim 1, characterized in that, The Industrial Metaverse Application Sub-platform includes a Digital Aircraft Application Module, a Digital Factory Application Module, and a Digital Supply Chain Application Module. The digital aircraft application module is used to associate digital twin models at different levels with xBOM in the metaverse space according to product dimensions and aircraft development process, to build a data history archive of the entire aircraft development process, and to deliver physical and digital aircraft simultaneously. The product dimensions include in-process, semi-finished, and finished products; the different levels of digital twin models include part digital twin models, component digital twin models, sub-component digital twin models, segment digital twin models, and complete aircraft digital twin models; the digital factory application module is used to organize digital twin models of different levels in the metaverse space according to the production organization dimension, production organization relationship, and hierarchy to reproduce the aircraft production process. The aircraft production process includes equipment operating status and parameters, workshop logistics process, production planning and execution process, and production process disturbance and handling process; The digital supply chain application module is used to organize digital twin models of the supply chain at different value chain stages in the metaverse space according to value dimensions and value chain relationships, and to manage the value flow of aircraft; the value chain relationships include order value chain, planning value chain, procurement value chain, production value chain, and delivery value chain.

3. The aviation industry metaverse platform construction system according to claim 2, characterized in that, The xBOM includes engineering BOM, manufacturing BOM, and assembly BOM; the data history archive includes aircraft design process archive, manufacturing process archive, assembly process archive, and flight test process archive.

4. The aviation industry metaverse platform construction system according to claim 1, characterized in that, The industrial metaverse interaction sub-platform includes an artificial intelligence engine module and a digital human interaction module; The artificial intelligence engine module is used to build intelligent voice question answering tool components, intelligent process search tool components, knowledge reasoning tool components, and robotic process automation tool components; The digital human interaction module is used to construct a metaverse entrance in a human-like manner and establish relationships between different application scenarios, business systems, and users; the human-like manner includes cartoon character images and simulated character images.

5. The aviation industry metaverse platform construction system according to claim 4, characterized in that, The digital human interaction module includes a digital human modeling component, a digital avatar component, a digital assistant component, and a digital tour guide component; The digital human modeling component is used to create different characters in the form of cartoon characters and simulated characters, and to perform voice dialogue, search, and reasoning based on an artificial intelligence engine; the different characters include digital avatars, digital assistants, and digital tour guides. The digital avatar component is used to create a uniquely identified digital avatar based on the virtual character's image, replacing virtual roaming, scene switching, human-to-human interaction, and virtual operation in the metaverse scene; the virtual roaming enables the digital avatar to enter the factory, workshop, production line, and equipment scene from the park in a natural way; The scene jump refers to the digital avatar being able to quickly jump to the corresponding virtual workshop or other metaverse scene through the scene selection menu; the human-to-human interaction refers to the communication and dialogue between digital avatars with different identities; the virtual operation refers to the virtual operation of the digital avatar on different levels of digital twin models in the metaverse scene. The digital assistant component is used to create a uniquely identified digital assistant based on the virtual character image, automatically obtain job and responsibility information by associating with the user's employee number, integrate business system data, and assist in handling transactional work based on an artificial intelligence engine; The digital tour guide component is used to create a digital tour guide based on the virtual character image; The new human-computer interaction method means that the system's keyboard and mouse operations, interface navigation, and process search are realized through intelligent question and answer.

6. A method for constructing an aviation industry metaverse platform, implemented based on the aviation industry metaverse platform construction system described in claim 1, characterized in that, The construction of the digital twin model specifically includes the following steps: Step A1: Based on the physical objects in the aviation industry production site, construct a 3D model of the physical objects using methods such as map surveying, 3D modeling, model simplification, and importing third-party models, and submit it to the digital twin modeling module; Step A2: Lightweight process the 3D model of the entity object according to the model processing component, and save it to the 3D model library in glTF format; Step A3: Call the scene rendering component to assemble the lightweight 3D model according to the spatial position relationship, perform environment rendering, scene arrangement, and dynamic loading operations to form a 3D virtual scene library of park, workshop, production line, and product. Step A4: Based on the IOTDB database established in the aviation industry production process, call the corresponding data interface component to obtain the equipment status and operating parameters, and associate the equipment status and operating parameters in the IOTDB database with the corresponding virtual equipment in the 3D virtual scene according to the code development component; Step A5: Obtain data information from the data platform according to the data platform data interface, and associate the data information with the virtual factory, virtual workshop, virtual production line, virtual equipment and virtual products corresponding to the 3D virtual scene through low-code development components; Step A6: According to the FMI2.0 protocol, unify the input and output formats of the mechanism model, and use FMU format data interaction to co-simulate the mechanism model; Step A7: Based on the twin model management and rapid deployment components, integrate virtual scenes, data, and mechanism models to create and deploy digital twin models at different levels.

7. The method for constructing an aviation industry metaverse platform according to claim 6, characterized in that, The model processing component described in step A2 first imports the established CAD model; then merges triangular faces, deletes invisible features and faces, and generates a lightweight model; finally, it performs texture mapping and material rendering, converts the lightweight model into a 3D model in glTF format, and imports it into a 3D model library.

8. The method for constructing an aviation industry metaverse platform according to claim 6, characterized in that, In step A3, the scene rendering component first assembles the 3D model into different levels of 3D models according to the spatial topology of the model; then it adds skyboxes, ambient light, shadows, roads and their ancillary facilities, and vegetation landscapes to form a 3D virtual scene; finally, it arranges and dynamically loads the 3D models of different levels according to the relationship from largest to smallest, such as park, factory, workshop, production line, and equipment; when it is at the park level, it loads the 3D models of the park and factory levels; when it is at the factory level, it only loads the workshop, production line, and equipment of the current factory.

9. A method for constructing an aviation industry metaverse platform according to claim 6, characterized in that, The lightweighting process includes triangulation, merging and deleting facets, feature deletion, PMI information deletion, and component merging.

10. A method for constructing an aviation industry metaverse platform according to claim 6, characterized in that, Building digital aircraft, digital factories, and digital supply chains involves the following steps: Step B1: Use blockchain NFT technology to identify digital twin models of different entities; Step B2: Link digital twin models of different levels and states to xBOM, integrate data history archives of the entire aircraft development process, and build digital aircraft applications; Step B3: Combine different production organization relationships and digital twin models at different levels to build digital factory applications; Step B4: Combine digital twin models of the supply chain at different stages of the value chain to build digital supply chain applications; Step B5: Integrate digital aircraft applications, digital factory applications, and digital supply chain applications to build an industrial metaverse application sub-platform, which will reproduce physical aircraft, physical factories, and physical supply chains in the metaverse space.

11. A method for constructing an aviation industry metaverse platform according to claim 6, characterized in that, The human-computer interaction based on the aforementioned industrial metaverse interaction sub-platform specifically includes the following steps: Step C1: Create virtual character images for different roles based on the digital human modeling components; Step C2: Build an artificial intelligence engine that includes intelligent voice question answering, intelligent search, knowledge reasoning, and robotic process automation; Step C3: Based on the digital avatar component and the virtual character image, create a uniquely identified digital avatar to replace the metaverse scene for virtual roaming, scene transitions, human-to-human interaction, and virtual operations. Also, create a uniquely identified digital assistant through the digital assistant component and the virtual character image. Obtain the user's job title and responsibilities information through the associated user ID and integrate business system data. Create a digital guide through the digital tour guide component and the virtual character image. Based on an artificial intelligence engine, construct a human-computer interaction system that replaces the system's keyboard and mouse operations, interface transitions, and process searches with intelligent question-and-answer functionality.

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