智能科学与技术学报2026，Vol.8Issue(1)：117-130,14.DOI:10.11959/j.issn.2096-6652.202609
平行澳门野外观测站:全域智能观测与应急管理自主系统
Parallel Macao field observatory:autonomous systems for global intelligent observation and emergency management
摘要
Abstract
The Macao national observation and research station for coastal ecological environment(Macao field station)played a critical role in advancing research on coastal ecological environments and climate change.Its primary research focused include monitoring and modeling coastal environmental processes,investigating the mechanisms and environ-mental impacts of pollutant migration and transformation across multiple environmental media,developing theories and technologies for the prevention and control of compound environmental pollution,and exploring regulatory mechanisms and ecological restoration strategies for coastal environments under climate change.However,traditional environmental monitoring systems faced several persistent challenges,such as difficulties in acquiring and integrating large-scale multi-modal data,the complexity of environmental process modeling,limitations in sensing equipment,and insufficient capac-ity for large-scale data processing and analytics.Furthermore,existing disaster early-warning and emergency management systems often struggle to respond effectively to rapidly evolving emergencies.To address these issues,a parallel-intelligence-driven framework for holistic intelligent observation and emergency management was proposed,grounded in the ACP(artificial societies,computational experiments,and parallel execution)method and large language models.The system constructed artificial models of ecological observation and emergency scenarios,evaluated response strategies through computational experiments,and enabled dynamic coordination of monitoring and emergency actions via parallel execution.By integrating key technologies such as parallel sensing,holistic perception,cloud-edge collaborative comput-ing,coordinated control among biological humans,digital humans,and robots,and social radar,the proposed system es-tablished a comprehensive observation and emergency-management architecture that satisfied the requirements of secu-rity,safety,sustainability,sensitivity,serviceability,and intelligence(6S).This framework substantially enhanced the sci-entific rigor,foresight,and responsiveness of coastal ecological monitoring and disaster emergency management,provid-ing robust technical support and scientific foundations for environmental governance and risk mitigation.关键词
澳门野外科学观测站/平行智能/ACP方法/大语言模型/平行传感/全域感知Key words
Macao field observation and research station/parallel intelligence/ACP method/large language models/par-allel sensing/holistic perception分类
信息技术与安全科学引用本文复制引用
黄峻,Joseph Hun-Wei Lee,倪清桦,林飞,田永林,刘宇航,吕宜生,伍乃骐,Thales S.W.Theseus..平行澳门野外观测站:全域智能观测与应急管理自主系统[J].智能科学与技术学报,2026,8(1):117-130,14.基金项目
澳门特别行政区科学技术发展基金资助项目(No.0093/2023/RIA2,No.0157/2024/RIA2,No.0145/2023/RIA3) （No.0093/2023/RIA2,No.0157/2024/RIA2,No.0145/2023/RIA3）
北京市自然科学基金-怀柔创新联合基金资助项目(No.L245025) （No.L245025）
平行生态立项(No.DeSCII-0028-0123-2025)The Science and Technology Development Fund,Macao Special Administrative Region(SAR)(No.0093/2023/RIA2,No.0157/2024/RIA2,No.0145/2023/RIA3),Beijing Municipal Natural Science Foundation-Huairou Innovation Joint Fund(No.L245025),The"Agentic/Autonomous Intelligence and Robotics for Parallel Ecology"Project(No.DeSCII-0028-0123-2025) （No.DeSCII-0028-0123-2025）
