中科天算成立于2024年6月，专注于突破"超算上天"、"AI for Space"核心技术，开展太空智能计算软硬件系统、智能应用服务、实验实训系统的设计研发 与产业生态服务。 文 | 刘婧琼 编辑 | 阿至 封面来源 | 企业提供 36氪获悉，天基智能计算与应用系统提供商北京中科天算科技有限公司（下简称"中科天算"）宣布完成数千万元天使轮融资，本轮融资由格物致知私募基 金和上海未来产业基金联合领投，梅花创投、奇绩创坛跟投，所筹资金将用于天基计算核心技术研发以及首发星的前期工程化准备。 创始人现为中国科学院计算技术研究所博士、天基计算方向带头人，同时兼任CCF容错计算专委副秘书长，深度参与过我国多套卫星互联网系统设计论 证、标准设计、装备研制等工作。中科天算核心成员来自中科院计算所、航天部门、华为、浙江大学、之江实验室等，具备从底层计算架构到空间级系统 工程的完整技术链路。 实际上，中国对于"超算上天"的探索起步更早。 据介绍，早在2019年，创始人带领的天算团队就开始立项探索如何让AI芯片应用到天上，团队在2022将搭载国产高性能AI芯片的极光1000星载智能机发 射上天，目前已在轨稳定运行超过1000天，成 ...

Industry Background - The commercial space industry focuses on market-driven resource allocation and profit generation, distinguishing itself from traditional government-led space activities [7][19] - The global space industry has evolved through three phases: government-led (1950s-1980s), commercialization initiation (1980s-1990s), and the "new space" breakthrough phase (2000s-present), with SpaceX leading the way through reusable rocket technology [1][12] - China began its commercial space development later, accelerating after policy changes in 2014, with significant advancements in satellite internet recognized as a "new infrastructure" by 2020 [1][19] Current Industry Status - The industry exhibits three main characteristics: 1. Collaborative breakthroughs across the supply chain, with a closed loop formed from upstream materials to downstream applications, leading to a global space economy of $415 billion in 2024, with commercial space accounting for 71% [2][36] 2. Focus on core technology advancements, including reusable rockets and low-orbit satellite constellations, with significant projects like the Chinese Starlink GW constellation planning 12,900 satellites [2][3] 3. Active capital investment, with domestic financing exceeding 2.9 billion yuan in 2024, focusing on rocket development and satellite components [2][28] Representative Companies - Blue Star Space focuses on laser communication, achieving a 100% success rate in on-orbit chain construction and establishing China's first mass production base for laser terminals [2] - Geospace Aerospace specializes in intelligent satellite manufacturing, producing 300 satellites annually from its digital factory [2] - Blue Arrow Aerospace has made breakthroughs in liquid oxygen-methane rocket technology, successfully completing vertical takeoff and landing tests [2] Future Trends and Challenges - The future points towards integrated space, air, land, and sea systems (6G vision) and space-based computing to address ground computing bottlenecks, but challenges include space debris management, low approval efficiency, long capital return cycles, and international competition [3][19] - Recommendations include developing space robots, establishing debris removal funds, and promoting international space treaty revisions to help China transition from "catching up" to "keeping pace" in commercial space [3][22] Policy and Market Dynamics - National policies have progressively recognized the strategic value of commercial space, evolving from "encouraging participation" to "building new growth engines" [22][23] - Major cities in China are actively developing commercial space industries, forming regional clusters through policy support and resource integration [24][26] - The market is driven by diverse capital investments, with private capital playing a crucial role in the commercial space sector's growth [27][29]

Core Viewpoint - The "Star Eye Payload," developed by Nanjing University of Aeronautics and Astronautics, is China's first space-based computing device for on-orbit positioning of ground radiation sources, showcasing significant innovation and technical capability in response to national strategic needs [1][2]. Group 1: Project Overview - The "Star Eye Payload" achieved on-orbit identification and positioning of ground radiation sources through signal collection, optical remote sensing imaging, and space-based computing [1]. - The project won first prize at the 20th National Graduate Electronic Design Competition, marking a historic breakthrough for Nanjing University of Aeronautics and Astronautics [1]. Group 2: Technical Innovations - The team integrated three major functions—"RF tracking," "image matching," and "space-based computing"—into a single system called "Three-in-One Detective" [2]. - The payload features a machine learning-based small target detection technology, enhancing its capability to intelligently identify star maps [2]. - A domestic Loongson processor-based cloud system was deployed in the payload, enabling it to perform 100 trillion calculations per second, providing it with significant computational power [2]. Group 3: Development Challenges - The team faced a tight timeline of only 18 months from project approval to launch, requiring extensive testing and validation of hundreds of parameters [2]. - Initial flight tests did not yield successful positioning results, prompting the team to conduct multiple analyses and tests to identify and rectify the issues [3]. - The team encountered severe weather challenges, including a super typhoon, which necessitated arduous travel and working conditions to complete testing tasks [4]. Group 4: Team Composition and Leadership - The "Star Eye Payload" team consists of members from various educational backgrounds, including undergraduates, master's, and doctoral students, showcasing a blend of experience and youth [4]. - Key leadership roles were filled by Professor Li Guangxia as the overall expert and Professor Cheng Jian as the chief designer, both of whom played crucial roles in overcoming project challenges [4].