Core Insights - The article discusses the successful deployment and testing of the "Three-body Computing Constellation," which focuses on water environment monitoring and has achieved significant advancements in space-based artificial intelligence applications [1][2]. Group 1: Technological Achievements - The Three-body Computing Constellation has successfully completed a full-link capability verification involving satellite payload operation, on-orbit data processing, inter-satellite collaboration, and model computation [1]. - A total of 10 artificial intelligence models have been deployed and validated in orbit, including the largest parameter models globally, such as the 8 billion parameter space-based remote sensing model and the 8 billion parameter space-based astronomical time-domain model [2]. - The overall on-orbit computing power of the constellation has reached 5 petaflops (5POPS), capable of supporting the deployment and inference of models with up to 140 billion parameters, making it the largest space computing constellation in the world [5]. Group 2: Applications and Innovations - The deployed AI models have successfully executed multiple on-orbit tasks, including infrastructure surveys in challenging weather conditions, demonstrating the practical applications of space-based AI [2][3]. - The astronomical research capabilities have been enhanced through the deployment of a space-based astronomical time-domain model, which significantly reduces data transmission volume and processing time while maintaining a high event identification accuracy of 99% [3]. - The integration of a space-based distributed operating system has allowed for unified management and scheduling of computing resources, enhancing the efficiency of constellation operations [4]. Group 3: Future Prospects - The Three-body Computing Constellation aims to drive innovation in space research paradigms, particularly in areas such as deep space exploration and smart city development, by leveraging advanced AI capabilities [1][2]. - The successful inter-satellite networking and ground-satellite integration mark a significant step towards breaking down barriers between satellite networks and terrestrial internet [3].

来源：科技日报 科技日报记者 江耘 通讯员 陈航 2月初，三体计算星座开展了面向水环境监测的三星协同在轨智能处理试验，通过地表要素提取模型在 水面结冰的情况下提取出了关键水体，验证了"卫星载荷工作—在轨数据处理—星间协同传输—在轨模 型计算—任务结果下传"的全链路能力。12日，记者从浙江的之江实验室获悉，三体计算星座实现了星 间组网突破，通过在轨协同完成了10个人工智能模型与应用的部署与验证，探索了深空探测、智慧城市 建设、自然资源普查等场景的太空计算创新应用。 三体计算星座是之江实验室协同全球合作伙伴共同打造的千星规模太空计算基础设施，通过"计算上 天、星间互联、模型上天"，推动太空科研范式变革，助力"航天+人工智能"创新发展。2025年5月14 日，三体计算星座首发12颗计算卫星成功发射入轨。 之江实验室计算星座总体部技术总师李超介绍，经过九个月的在轨测试，三体计算星座首发任务已形成 组网、计算、模型部署以及科学载荷在轨验证等四大核心能力。 目前，三体计算星座首发任务实现了所有在轨计算节点的协同运行，整体在轨算力达5P OPS，最大可 支持1400亿参数模型在轨部署与推理，是目前全球算力规模最大的太空计算 ...

"人工智能不能因为缺失算力而缺席太空。"正如中国工程院院士、之江实验室主任王坚所言，这是实验 室打造三体计算星座的初衷。模型的部署与应用正是基于三体计算星座组网与计算能力的突破。首发12 颗计算卫星均搭载了之江实验室研发的星载计算单元，单星最高算力可达744TOPS，即每秒744万亿次 运算。 李超表示，已部署的各模型成功执行多次在轨任务。2024年11月10日，团队对我国西北某地189平方公 里城区开展了体育场、桥梁等基础设施普查试验，通过天基遥感模型，在大雪覆盖条件下，自动识别桥 梁、田径场等设施。 人工智能模型用于太空，还在推动太空科研范式的变革。以天文学研究为例，三体计算星座2颗卫星搭 载了宇宙X射线偏振探测器，通过部署天基天文时域模型，实现对伽马射线暴（GRB）的在轨快速判定 和分类。 该模型将下传数据量从每天几百兆字节减少至几十千字节，仅为传统观测方式的万分之一，处理时间也 从数小时缩短至数秒，且保持了高达99%的事件识别准确率，为在轨天文观测提供了全新技术支撑。 算力上天后，团队展开星地组网、星间组网测试。三体计算星座首发任务实现了所有载荷、地面站的IP 化，打破了卫星网络与地面互联网的壁垒。团 ...

Group 1 - The core viewpoint of the news is the strategic partnership between Beijing Haohan Deep Information Technology Co., Ltd. and Yiyu Aerospace (Beijing) Technology Co., Ltd. to establish a joint laboratory focused on space computing infrastructure and application ecosystem development [1][2] - The collaboration will emphasize high-performance computing on satellites, 6G integrated communication, and intelligent application scenarios, aiming to accelerate the engineering and scaling of space computing capabilities [1] - Yiyu Aerospace will invest in core hardware products such as space servers and satellite computing units, while Haohan Deep will leverage its advantages in data exchange and intelligent data processing to support the integration of ground and space data systems [1] Group 2 - This strategic cooperation signifies a substantial integration of data intelligence and space computing technologies, potentially leading to standardized and scalable applications in space computing systems [2] - The joint laboratory mechanism is expected to create a demonstrative effect for replicable and promotable space computing solutions, contributing to the overall upgrade of China's space computing infrastructure and satellite intelligence industry ecosystem [2]