1.澳门科技大学创新工程学院,澳门 999078
2.中国科学院大学人工智能学院,北京 100049
3.中国科学院自动化研究所多模态人工智能系统全国重点实验室,北京 100190
4.沈阳工业大学信息科学与工程学院,辽宁 沈阳 110870
5.中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京 100190
[ "倪清桦(1999- ),女,澳门科技大学创新工程学院博士生,主要研究方向为平行智能、决策科学、数字孪生等。" ]
[ "林飞(1994- ),男,澳门科技大学博士生,主要研究方向为平行系统、大语言模型、多模态感知、生成式人工智能。" ]
[ "赵宸(1996- ),男,中国科学院大学人工智能学院博士生,主要研究方向为平行智能、智能交通系统、多模态大模型等。" ]
[ "黄峻(1998- ),男,澳门科技大学博士生,主要研究方向为平行智能、自动驾驶轨迹预测规划、提示工程。" ]
[ "刘宇航(1999- ),男,中国科学院自动化研究所多模态人工智能系统全国重点实验室博士生,主要研究方向为平行传感、三维场景理解、多模态智能体。" ]
[ "葛琳(1982- ),男,高级工程师,澳门科技大学创新工程学院博士生,主要研究方向为人工智能、复杂系统、平行医学、智能设备。" ]
[ "鲁越(1994- ),男,沈阳工业大学信息科学与工程学院专任教师,主要研究方向为机器学习、小样本学习、机器人系统。" ]
[ "马思吉(1999- ),男,澳门科技大学创新工程学院博士生,主要研究方向为智慧期刊、区块链、多模态智能体。" ]
[ "王飞跃(1961- ),男,博士,中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任,澳门科技大学特聘教授,主要研究方向为平行系统的方法与应用、社会计算、平行智能、知识自动化。" ]
收稿:2025-12-22,
修回:2026-03-20,
录用:2026-03-23,
纸质出版:2026-03-15
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Ni Qinghua,Lin Fei,Zhao Chen,et al.Parallel Olympic Forest Park: a metaverse park integrating smart ecology and healthy living[J].Chinese Journal of Intelligent Science and Technology,2026,08(01):105-116.
倪清桦,林飞,赵宸等.平行奥森:智慧生态与健康生活共融的元宇宙公园[J].智能科学与技术学报,2026,08(01):105-116. DOI: 10.11959/j.issn.2096-6652.202608.
Ni Qinghua,Lin Fei,Zhao Chen,et al.Parallel Olympic Forest Park: a metaverse park integrating smart ecology and healthy living[J].Chinese Journal of Intelligent Science and Technology,2026,08(01):105-116. DOI: 10.11959/j.issn.2096-6652.202608.
奥林匹克森林公园(以下简称奥森)作为全球城市公园设计的典范,不仅是我国生态文明建设成果的展示窗口,也是城市居民健康生活的重要场所。为进一步挖掘奥森的生态价值,智能化地满足公众对健康生活的追求,提出了平行奥森框架。该框架基于ACP(artificial systems,computational experiments,parallel execution)方法,通过描述智能构建数字奥森,利用预测智能分析生态系统变化,引导智能规划健康活动,最终实现奥森的智慧管理和价值拓展。在此基础上,构建了平行奥森的元宇宙系统架构,融合场景工程、多智能体建模与多模态大语言模型,作为连接虚拟推演与现实执行的工程化载体。进一步,探讨了平行奥森框架在生态资源监控、健康活动促进、自然教育等方面的应用,并分析了其对传统公园运营模式的潜在影响。未来,虚拟与现实世界的融合将为生态保护和健康生活方式的创新发展提供新思路,持续推动城市公园的可持续发展。
As a model of urban park design worldwide
the Olympic Forest Park (OFP) serves as a paradigm of China's ecological civilization and a vital hub for urban well-being. To maximize the park's ecological value and address the growing public demand for healthy lifestyles
the "Parallel OFP" framework was proposed. Grounded in the ACP (artificial systems
computational experiments
and parallel execution) methodology
Parallel OFP utilized descriptive intelligence for digital modeling
predictive intelligence for ecosystem analysis
and prescriptive intelligence for operational guidance
greatly facilitating the smart management and value expansion of OFP. On this basis
we construct a metaverse architecture integrating scenario engineering
multi-agent modeling
and multi-modal large language models was constructed to serve as the operational backbone bridging virtual simulation and physical execution. The deployment of Parallel OFP was discussed in ecological monitoring
health promotion
and environmental education
highlighting its potential to transform traditional management paradigms. Ultimately
by fusing the artificial and physical realms
Parallel OFP aims to drive innovation in ecological conservation and promote healthier lifestyles
contributing to the sustainable development of urban parks.
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