【摘要】 群体智能基于人机智能涌现，为文化遗产资源与服务数智化转型提供人机协同新范式。本文旨在借群体智能赋能，实现文化遗产智慧数据生成与场景服务的动态耦合，推动其数据与服务协同升级。首先，通过文献分析，梳理群体智能在智慧数据生成与场景化服务中的应用现状；其次，探讨其赋能下智慧数据“数据—学习—智慧”的生成路径，并解析其构成要素，继而围绕需求、服务与技术三个维度，阐述文化遗产智慧数据场景化服务模式逻辑；最后，以非物质文化遗产传统工艺领域预防性保护场景为案例，展示群体智能在工艺濒危与市场质量风险预警及智能决策服务中的应用效能，以期发挥群体智能在“隐性知识显性化、AI黑箱破解、跨主体协同增效”方面的作用，为数智时代文化遗产智慧化发展提供理论参考。更多还原

【Abstract】 Driven by the emergence of human-AI intelligence, collective intelligence provides a new human-machine collaboration paradigm for the digital and intelligent transformation of cultural heritage. This study aims to achieve dynamic coupling between the generation of cultural heritage smart data and scenario-based services using collective intelligence empowerment, thereby promoting the synergistic upgrading of data and services. First, through a literature analysis, this study synthesizes the use of swarm intelligence in smart data generation and scenario-based services in the cultural heritage field. Second, it investigates the “data-learning-intelligence” generation path of smart data under the empowerment of swarm intelligence and analyzes the constituent elements of such data. Third, using the dimensions of demand, service, and technology, it elaborates on the logic of the scenario-based service model for cultural heritage smart data. Finally, using the preventive protection scenarios of traditional crafts under intangible cultural heritage as a case study, this study demonstrates the effectiveness of swarm intelligence in early warning of craft endangerment, market quality risk assessment, and intelligent decision-making services. This study aims to demonstrate the efficacy of swarm intelligence in “externalizing tacit knowledge, breaking through AI black boxes, and enhancing cross-subject collaboration,” to provide theoretical references for the intelligent development of cultural heritage in the digital-intelligent age.更多还原