Metacosm multi-platform embedded collaborative making system and method based on cloud ecology
Through the metacosmic multi-platform embedded collaborative production system based on the cloud ecosystem, the bottlenecks of data interoperability and team collaboration efficiency between multiple software are solved, cross-platform and multi-user real-time collaboration is realized, iterative efficiency is improved, and iterative is characterized by global optimization and strong adaptability.
Patent Information
- Application Number
- CN202510142673.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-10
- Publication Date
- 2025-05-30
AI Technical Summary
The prior art has bottlenecks in data interoperability and team collaboration efficiency among multiple softwares. Especially in the context of the rise of the meta-universe concept, a system that can achieve cross-platform and multi-user real-time collaboration is needed.
The metacosmic multi-platform embedded collaborative production system based on the cloud ecosystem includes cloud infrastructure layer, multi-platform adaptation layer, real-time collaborative working platform, data security mechanism, cross-platform embedded API and metadata management system, real-time data exchange, real-time collaboration and functional expansion.
It realizes cross-domain model integration, is universal and generalized, reduces management costs, supports real-time collaboration among multiple people, improves iteration efficiency, and has the characteristics of global optimization and strong adaptability.
Smart Images

Figure CN120069821A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of a metaverse multi-platform embedded collaborative production system and method based on a cloud ecosystem, and more particularly to a metaverse multi-platform embedded collaborative production system and method based on a cloud ecosystem. Background Art
[0002] Rooted in the need for more efficient and collaborative content creation and simulation platforms, especially in the context of the rise of the Metaverse concept. The following are the key background elements of the technology:
[0003] 1. Industry Requirements: With the growth of the demand for real-time content in industries such as digital entertainment, architectural design, manufacturing, and film production, data interoperability between different software and team collaboration efficiency in traditional workflows have become bottlenecks. This technology aims to solve these problems.
[0004] 2. Technology Integration: Providing an open scene description standard that enables seamless sharing and editing of 3D scene data between different applications is the basis for realizing multi-tool collaborative work.
[0005] 3. Evolution: Based on the real-time collaboration experience in a virtual reality environment, this concept has been further extended, adding more production environment-oriented functions.
[0006] 4. Real-time Collaboration and Digital Twin: Its core value lies in the real-time collaboration ability it provides, enabling team members around the world to work in the same shared virtual space, which is particularly crucial for building and maintaining digital twins of complex projects. Digital twin technology has wide applications in fields such as manufacturing, urban planning, and the Internet of Things, helping to optimize designs, predict maintenance, etc. by simulating real-world systems.
[0007] 5. AI Integration: In addition to powerful graphics processing capabilities, it also deeply integrates AI functions, such as using AI to generate interactive virtual avatars and leveraging AI to accelerate simulations and automate tasks.
[0008] 6. Ecosystem Construction: To promote the wide application of the application, an extensive ecosystem has been actively built to ensure that every link of production is incorporated, guaranteeing compatibility and interoperability with existing creation tools.
[0009] In summary, this technology was born under industry requirements, technological innovation, and forward-looking insights into future work methods. It represents an important advancement in content creation and simulation technology, aiming to promote digital transformation and the practical application of the Metaverse concept. Summary of the Invention
[0010] (1) Technical Problems to be Solved
[0011] In view of the deficiencies of the prior art, the present invention provides a metaverse multi-platform embedded collaborative production system and method based on the cloud ecosystem, which solves the problems raised in the above background art.
[0012] (II) Technical Solution
[0013] To achieve the above object, the present invention provides the following technical solution: A metaverse multi-platform embedded collaborative production system and method based on the cloud ecosystem, including:
[0014] (1) Cloud infrastructure layer, integrating public cloud and private cloud resources, providing elastic and scalable storage and computing services for the system;
[0015] (2) Multi-platform adaptation layer, with cross-platform interfaces, supporting seamless access and data exchange of different operating systems, devices, and application software;
[0016] (3) Real-time collaborative work platform, using a unified communication protocol to achieve real-time interaction and collaboration of multiple users in the metaverse environment, including but not limited to functions such as 3D model editing, scene construction, and animation production;
[0017] (4) Data security and privacy protection mechanism, adopting encryption technology and access control policies to ensure the security of cross-platform data transmission and storage;
[0018] (5) Cross-platform embedded API set, allowing the integration of third-party applications and services to expand the system functions and application scenarios;
[0019] (6) Metadata management and indexing system, supporting the efficient organization, retrieval, and version control of metaverse assets.
[0020] Preferably:
[0021] (1) Real-time lighting and rendering engine, supporting high-quality visual feedback during real-time preview and editing;
[0022] (2) User interface adaptive module, automatically adjusting the interface layout and interaction mode according to different devices and user preferences.
[0023] Preferably:
[0024] (1) Through the multi-platform adaptation layer, access 3D content and users from different sources;
[0025] (2) On the real-time collaborative work platform, assign tasks to participating users to achieve cross-platform instant editing and review;
[0026] (3) Utilize the intelligent resource scheduling module to automatically adjust cloud resources according to the workload to ensure the efficient operation of the system;
[0027] (4) Implement data security measures to ensure the confidentiality and integrity of data during transmission and storage;
[0028] (5) Utilize cross-platform embedded APIs to integrate external services and tools, expanding the functional set of collaborative creation;
[0029] (6) Finally, through the metadata management and indexing system, complete the archiving, version control, and cross-platform sharing of works.
[0030] According to the above method, it also includes analyzing user behavior using machine learning models to optimize the user experience and system performance.
[0031] (III) Advantageous Effects
[0032] Compared with the prior art, the present invention provides a cloud-ecosystem-based metaverse multi-platform embedded collaborative production system and method, having the following advantageous effects:
[0033] 1. The cloud-ecosystem-based metaverse multi-platform embedded collaborative production system and method solve complex problems through cross-domain model fusion. The fused model has generality and generalization, showing characteristics that individual basic models do not possess. It does not require separate management of sub-models, greatly reducing management costs. It does not depend on the prerequisite conditions of other models and allows real-time collaboration among multiple people, greatly improving the iteration efficiency. Generally speaking, this method has the characteristics of global optimization and strong self-adaptability, and has good results in solving complex problems, which is beneficial to the industrial application and innovation of large models. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Figure 1 It is a schematic diagram of the access and collaboration of the present invention based on a general cloud platform. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0036] Please refer to Figure 1 , the present invention provides a technical solution: a cloud-ecosystem-based metaverse multi-platform embedded collaborative production system and method, including:
[0037] (1) Cloud infrastructure layer, integrating public cloud and private cloud resources, providing elastic and scalable storage and computing services for the system;
[0038] (2) Multi-platform adaptation layer, with cross-platform interfaces, supporting seamless access and data exchange for different operating systems, devices, and application software;
[0039] (3) Real-time collaborative work platform, using unified communication protocols to enable real-time interaction and collaboration among multiple users in the metaverse environment, including but not limited to functions such as 3D model editing, scene construction, and animation production;
[0040] (4) Data security and privacy protection mechanism, adopting encryption technology and access control strategies to ensure the security of cross-platform data transmission and storage;
[0041] (5) Cross-platform embedded API set, allowing third-party applications and services to be integrated to expand the system functions and application scenarios;
[0042] (6) Metadata management and indexing system, supporting the efficient organization, retrieval, and version control of metaverse assets.
[0043] 1. Real-time collaboration ecosystem: It constructs a collaborative environment for multiple users and multiple applications, allowing multiple creators to work simultaneously in a shared scene. This ecosystem promotes efficient communication among interdisciplinary teams. No matter where they are, they can view and edit the same project in real time, reducing version conflicts and communication delays.
[0044] 2. Interoperability based on unified format: By adopting unified standards as the scene description and data exchange format, seamless integration between different creation software is achieved. This means that users can easily import, export, and synchronize content among multiple tools, maintaining the continuity and consistency of the workflow.
[0045] 3. Unified tool management: Integrating powerful tools in related fields, this application provides a professional and complete production system, improving efficiency and productivity, simplifying the operation process to significantly enhance work efficiency, enabling team members to focus on more valuable tasks.
[0046] 4. Digital twin and simulation: Omniverse supports the construction of highly accurate digital twin models, which can simulate real-world systems and environments, used for urban planning, architectural design, production line simulation in manufacturing, etc., helping enterprises with decision-making optimization, risk assessment, and training.
[0047] 5. Cloud-native and API support: Users can manage project files in the cloud, including engineering, materials, etc., and can also develop customized applications and services using APIs and SDKs. This not only reduces the dependence on local hardware but also promotes remote work and the development of large-scale distributed projects.
[0048] Through these technical solutions, this application aims to break the boundaries of traditional workflows and create an open, efficient, and highly integrated platform that serves a wide range of fields, from entertainment media to industrial design and then to scientific research.
[0049] 1. To solve the problem of 3D universe production, material production, modeling, model texturing, and virtual engine scene production are required. The following software are selected respectively: image editing software, material production software, texturing software, large model production software, and motion capture software.
[0050] 2. Use image editing software, material production software, and texturing software to achieve the effects of different integrated models. It includes 3D modeling, animation, and rendering, and is widely used in fields such as architectural visualization, film and television animation, game development, and design visualization.
[0051] 3. The large model production software completes the virtual scene production, covering all the core functions of the Unreal Engine, such as character animation, scene editor, physics engine, sound system, etc. At the same time, it also integrates commonly used tools for developers, such as code editors, resource managers, and version control systems, etc.
[0052] 4. Adopt a unified file format across platforms to promote the efficient exchange and interoperability of digital content creation. It is also a comprehensive framework for describing, organizing, simulating, and sharing 3D scene data. Its core features and uses are as follows:
[0053] a. Scene description language: Provides a powerful and flexible way to describe complex 3D scenes, including geometric shapes, lighting, materials, animations, camera paths, etc. This description method enables content to be losslessly exchanged between different software and platforms.
[0054] b. Hierarchical and extensible: Organizes scene data in a hierarchical manner, allowing artists and developers to build and modify complex scenes through reuse and override. In addition, it also supports custom extensions, facilitating the integration of specific workflows or tool features.
[0055] c. Real-time rendering and preview: Tightly integrated with modern real-time rendering engines, supports real-time viewing of scene changes during the editing process, which is crucial for visual effects, game development, and immersive experience design.
[0056] d. Multi-user collaboration: Supports parallel editing and version control of scenes, which is especially important for large team projects and can promote efficient cooperation among team members.
[0057] Cross-platform compatibility: Designed to be used across platforms, ensuring compatibility on operating systems such as Windows, macOS, Linux, etc., facilitating use in different working environments.
[0058] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. Metaverse multi-platform embedded collaborative production system and method based on cloud ecology, including: (1) Cloud infrastructure layer, which integrates public cloud and private cloud resources to provide elastic and scalable storage and computing services for the system; (2) Multi-platform adaptation layer, with cross-platform interfaces, supporting seamless access and data exchange between different operating systems, devices, and application software; (3) A real-time collaborative work platform that uses a unified communication protocol to enable real-time interaction and collaboration among multiple users in a metaverse environment, including but not limited to 3D model editing, scene construction, animation production, and other functions; (4) Data security and privacy protection mechanism, using encryption technology and access control strategies to ensure the security of cross-platform data transmission and storage; (5) A cross-platform embedded API set that allows third-party applications and services to be integrated to expand system functionality and application scenarios; (6) Metadata management and indexing system to support efficient organization, retrieval, and version control of Metaverse assets.
2. The cloud-based metaverse multi-platform embedded collaborative production system and method according to claim 1 is characterized by: (1) Real-time lighting and rendering engine, supporting real-time preview and high-quality visual feedback during editing; (2) User interface adaptation module, which automatically adjusts the interface layout and interaction mode according to different devices and user preferences.
3. The cloud-based metaverse multi-platform embedded collaborative production system and method according to claim 1 is characterized by: (1) Access 3D content and users from different sources through a multi-platform adaptation layer; (2) Assign tasks to participating users on a real-time collaborative work platform to achieve instant editing and review across platforms; (3) Using the intelligent resource scheduling module, cloud resources are automatically adjusted according to workload to ensure efficient operation of the system; (4) Implement data security measures to ensure the confidentiality and integrity of data during transmission and storage; (5) Leverage cross-platform embedded APIs to integrate external services and tools and expand the collaborative creation feature set; (6) Finally, the work can be archived, versioned and shared across platforms through the metadata management and indexing system.
4. The method according to claim 1 also includes using a machine learning model to analyze user behavior and optimize user experience and system performance.