摘要
随着基础模型、区块链与元宇宙等技术的迅速发展,新时代博物馆建设面临藏品数字化、服务通融性和智能化管理上的需求和挑战.为此,文中基于平行系统与ACP理论,构建虚实互动的平行博物馆系统,设计平行博物馆系统的体系框架、系统平台与基本方法,旨在实现博物馆的智能化建设和管理.基于数字化采集、场景工程、多模态人机交互、博物馆文博大模型和数字资产管理等子系统构建平行博物馆的系统功能,通过基于场景工程的任务构建、基于人类反馈的知识强化模型以及基于分布式自治组织的数据资源治理提供技术支撑,利用博物馆文物研究与保护、博物馆展览和博物馆运营管理等服务提升博物馆典型业务和服务场景的运行效果.最后,介绍平行博物馆系统的应用场景及案例.
With the development of foundation models,blockchain and metaverse,museum construction in the new era faces the challenges of collection digitization,service integration and intelligent management.The parallel museum system is constructed with virtual-real interactions.Its framework,platform and methods are designed based on parallel systems and ACP theory to realize the intelligent construction and management of museums.The subsystems of the digital collection,scene engineering,multimodal human-computer interaction,the big model of the museum and digital asset management are utilized.The parallel museum system is built with the scenarios-engineering-based task construction,human-feedback-based knowledge enhancement model and decentralized-autonomous-organizations-based data resource management.The museum services of heritage research,heritage conservation,exhibition and management are utilized to improve the operation of typical museum tasks and scenarios.Finally,application scenarios and cases of parallel museum systems are introduced.
作者
鲁越
郭超
潘晴
倪清桦
李华飙
王春法
王飞跃
LU Yue;GUO Chao;PAN Qing;NI Qinghua;LI Huabiao;WANG Chunfa;WANG Fei-Yue(School of Control Science and Engineering,Shandong University,Jinan 250061;The State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190;National Museum of China,Beijing 100006;Faculty of Innovation Engineering,Macao University of Science and Technology,Macao 999078)
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2023年第7期575-589,共15页
Pattern Recognition and Artificial Intelligence
