Industrial Equipment Rendering Service for Multi-Format Metaverse Output
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems lack an efficient and flexible method for generating high-quality renderings of industrial equipment for use in interactive virtual environments, particularly within metaverse platforms, without requiring complex user interactions or specialized software.
Innovation Solution
A Rendering as a Service (RaaS) platform that allows users to select 3D models of industrial equipment, choose rendering options, and generate renderings in various formats, including universal scene description files or image files, for use in metaverse platforms, with options for light sources, viewpoints, and camera movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual conversion of 3D models is performed, then rendering quality can be controlled, but operation complexity and time consumption increase
Solution Approach 1:
The system enables automatic rendering where the 3D model itself serves as the input for generating the rendering. The rendering system automatically processes the 3D model data and generates appropriate renderings without requiring manual conversion operations, thus maintaining rendering quality while reducing operation complexity
Solution Approach 2:
The patent replaces manual conversion processes with automated computational rendering. Instead of requiring users to manually convert 3D models between different formats or representations, the system uses computer-generated rendering based on the 3D model data, eliminating the need for manual intervention while maintaining or improving rendering quality
2Adaptability or versatility
If manual conversion of 3D models is performed, then rendering format flexibility can be achieved, but time consumption increases
Solution Approach 1:
The system replaces manual conversion operations with automated computational rendering that can handle multiple formats. The rendering system automatically processes 3D model data and generates renderings in various formats (e.g., image formats, 3D view formats) without requiring manual intervention, thus achieving format flexibility while reducing time consumption
Solution Approach 2:
The system allows users to specify rendering parameters such as desired format, resolution, and viewing角度, and automatically adjusts the rendering process accordingly. By changing parameters programmatically rather than manually converting files, the system achieves versatile format output with reduced time consumption
3Ease of operation
If automated rendering is implemented, then operation simplicity improves, but rendering quality control becomes more difficult
Solution Approach 1:
The rendering system incorporates feedback mechanisms that allow users to review and adjust rendering outputs. Users can access generated renderings, evaluate their quality, and make adjustments to parameters such as lighting, resolution, or viewing角度. This feedback loop maintains rendering quality control while preserving operational simplicity
Solution Approach 2:
The system provides dynamic control over rendering parameters, allowing users to adjust settings based on their specific needs. Rather than fixed automated rendering, the system adapts to user requirements in real-time, maintaining quality control while keeping the interface simple and user-friendly
4Adaptability or versatility
If 3D models are obtained from remote data sources, then system versatility improves, but data acquisition complexity increases
Solution Approach 1:
The system uses remote data sources as intermediaries to obtain 3D model data. Instead of requiring users to manually acquire and process 3D models from various sources, the system interfaces with remote data sources that provide standardized 3D model data, simplifying the data acquisition process while maintaining system versatility
Solution Approach 2:
The rendering system is designed to work with 3D models from multiple remote data sources and formats. By implementing universal interfaces and standardized data handling, the system can acquire 3D model data from various sources without requiring users to manage the complexity of different data formats or acquisition methods
Data Source
AI summary
A method for generating a rendering of industrial equipment for use in an interactive virtual environment within a metaverse platform, the method comprising receiving, from the metaverse platform, a render request identifying a three-dimensional (3D) model of the industrial equipment to be rendered, generating and communicating to the metaverse platform, a virtual object request based on the render request, the virtual object request requesting virtual object data associated with the 3D model to be rendered, receiving, from the metaverse platform, virtual object data based on the virtual object request, wherein the virtual object data is in a first format, and generating and transmitting, to the metaverse platform and based on the virtual object data, a 3D model rendering for use in representing the industrial equipment in the interactive virtual environment within the metaverse platform, wherein the 3D model rendering is generated in a second format different than the first format.


