T/HCPA 022-2025 Specification for Terminology of Digital Twin Systems in Intangible Cultural Heritage
T/HCPA 022-2025 Specification for Terminology of Digital Twin Systems in Intangible Cultural Heritage
Basic Information
Scope
This standard applies to the planning, construction, operation, maintenance, and research of digital twin systems for intangible cultural heritage, covering aspects such as cultural heritage protection, digital collection, data management, interactive experiences, educational inheritance, technical architecture, and policies and regulations. The main technical content can be summarized as follows: I. Core Objectives Establish a standardized terminology system for digital twin systems of intangible cultural heritage to unify technical language and promote cross-field collaboration (such as cultural heritage protection, digital technology, and educational inheritance), ensuring the standardization and compatibility of system development, application, and research. II. Key Technical Areas The standard covers the entire life cycle of digital twin systems of intangible cultural heritage and includes 10 major technical modules: Basic Concepts Define core terms of intangible cultural heritage (such as intangible cultural heritage classification, inheritors, cultural sustainability, and cultural ecology). Digital Technologies and Tools Key technologies: digital twin, virtual reconstruction, 3D modeling, VR/AR, and sensing technology. Data Management and Storage Full-process data management: collection, processing, analysis, cloud storage, and digital archiving (in accordance with the OAIS international standard). Interactive Experiences and Display Interactive experience design, multimedia display, and social media dissemination. Digital Inheritance and Education Virtual education platforms, intangible cultural heritage knowledge maps, online certification, and digital tool resources. Technical Architecture and Maintenance System architecture (such as OAIS and knowledge management systems), stability assurance, and technical support. Analysis and Smart Applications Big data analysis, machine learning, AI applications, and simulation