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 ...