【摘要】 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。更多还原

【Abstract】 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.更多还原