T/CSPSTC 32-2019 in English
VALIDSpecfication for 3D digital model of home products
- Issued on:2019-10-14
- Implemented on:2019-11-15
- File Format:PDF
- Delivery:Via email within 5 business days
$418.00
| Standard No: | T/CSPSTC 32-2019 |
| Document status: | VALID |
| Title in English: | Specfication for 3D digital model of home products |
| Title in Chinese: | 家居产品三维数字化模型技术规范 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 5 business days |
| Issued on: | 2019-10-14 |
| Implemented on: | 2019-11-15 |
| Professional Classification: | T/-Social Organization Standard |
| Related Keywords: | model data
digital model fine model typical applications precision model data standard core framework model type number |
| Related Topics: | Digitizing
household three dimensional 3D standard 3D model componentization jpg 3D model reflection Automatic 3D Product Inspection Ultrasound 3D model "Digitizing Digital 3D model Digital mapping technology based on real-life 3D models 3D model modeling standards Three-dimensional solid model parametric modeling technology Large-scale aquatic products t/cspstc44-2019 |
Introduction
Analysis of the Standard Core Framework
| Model Type | Number of Faces Required | Accuracy (mm) | Typical Applications |
|---|---|---|---|
| Precision Model Data | >300,000 Faces | <1 | High-precision Display, Product R&D |
| Simplified Model Data | 0-300,000 Faces | <3 | VR/AR Applications, Real-time Rendering |
| GLTF Data | ≤300,000 faces | - | Web3D display |
Detailed explanation of key technical indicators
1. Geometric data quality
The model's topological structure is required to be complete without broken faces, and the bottom center coordinates must be [0,0,0]. Accuracy testing requires more than 5 sets of comparative measurements using equipment such as a coordinate measuring instrument.
2. Texture Data Specifications
- Resolution: ≥1024×1024 pixels for fine model, ≥512×512 pixels for simple model
- Color uniformity: ≥95% for fine model, ≥80% for simple model
- Gamma correction: set to 2.2
Implementation and Application Suggestions
Case: Red Star Macalline Design Cloud Platform
After adopting this standard, the model review pass rate increased by 40%, and the key improvements include:
- Establish an automated quality inspection process to automatically detect the rationality of UV unfolding
- Material separation uses an edge detection algorithm to ensure cutting accuracy
- Develop a GLTF conversion plug-in to ensure real-time rendering performance
Standard Evolution Analysis
This standard connects the 3D model data of the home furnishing industry with the GB/T 24356 standard in the construction field for the first time. The innovations include:
- Proposes a standardized operating process for material separation
- Clarifies the LOD (Level of Detail) classification under different application scenarios
- Introduces point cloud data as a reverse engineering benchmark
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