[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fLq4Ymi4CBmc7cPKX9Rau3iGn7CNpmK7xZ0x0HEOMzy4":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1245,"助力航天员出舱任务 我国空间站首次应用专业领域AI大模型","\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">据中国载人航天工程办公室消息，北京时间2025年8月15日22时47分，经过约6.5小时的出舱活动，神舟二十号乘组航天员陈冬、陈中瑞、王杰密切协同，在空间站机械臂和地面科研人员的配合支持下，圆满完成既定任务，出舱航天员陈冬、王杰已安全返回问天实验舱，出舱活动取得圆满成功。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">与以往不同的是，此次神二十乘组在开展工作时有了一个新的助手，就是由天舟九号货运飞船搭载上行的“悟空AI”大模型。在神二十乘组第三次出舱活动的准备工作中，“悟空AI”大模型就发挥了辅助支撑作用，同时它还为航天员在轨工作提供了智能化、专业化的支持。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“悟空AI”基于国内开源模型开发，结合载人航天飞行任务需求，采用预训练和指令微调技术，构建了专业领域大语言模型和以航天飞行知识规范为核心的知识库。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002F74346c96d7844f62862982306fd6b7ad\u002Ffe7c0c25822a4d70abdc0fd6d574edde~tplv-tt-origin-web_gif.jpeg\" width=\"767\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">中国航天员科研训练中心 邹鹏飞：\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">航天员根据他的需要去询问“悟空AI”，比如说今天有哪些工作，在工作过程中可能有哪些操作的指南性质的、说明性质的知识。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fbb0ce8e2ad634a0bb776ccd483e9ec59\u002F37832d3b8fc40b8a61e83a201adc30ae~tplv-tt-origin-web_gif.jpeg\" width=\"801\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">大模型技术在我国空间站首次应用验证，构建了天地协同的智能问答支持系统，通过地面和在轨两个模型，分别提供专业知识深度解析能力和解决重难点问题。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fae54dd0055a143ceb84bca8eb8d7eca9\u002Fe7859ab6b6d6927404503467cc367f6c~tplv-tt-origin-web_gif.jpeg\" width=\"798\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">中国航天员科研训练中心 邹鹏飞：\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“悟空AI”大模型为航天员在轨的复杂操作和故障处置提供快速有效的信息支持。助力航天员更有效地开展工作，丰富在轨的心理保障，也有助于天地协同效率的提高。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fa264afa863b0406d9f2d3c762bc272d9\u002F9a6fea5aee8567266733383d7f428d45~tplv-tt-origin-web_gif.jpeg\" width=\"799\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">此外，针对载人航天飞行任务专业多元、类型复杂、数据海量等特点，“悟空AI”大模型通过开发场景化数据处理等多种功能，确保响应快速，回答内容严谨正确，后续可拓展增加\u003C\u002Fspan>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">任务规划、数据分析、智能预测\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">等功能。“悟空AI”大模型在轨一个月运行状态稳定，乘组航天员反馈良好，这一成果标志着我国空间站在轨智能化应用取得重要进展。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】央视新闻客户端 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7539144254715658806\u002F?upstream_biz=doubao&source=m_redirect\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7539144254715658806\u002F?upstream_biz=doubao&source=m_redirect\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fec5b390767a54587b654378eb19488fe\u002FAI领域.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fthumbs\u002Fec5b390767a54587b654378eb19488fe\u002FAI领域.jpg",0,1,212,"2025-08-19 18:21",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Adcea463a-4c74-49dc-8ba7-f0c52d88bad6%3A0.wav?Expires=1755603248&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=EMEaDwgF9U14%2F7eUUbvW5EQMdm4%3D",4189564,"dcea463a-4c74-49dc-8ba7-f0c52d88bad6","2025-08-19 18:18","Supporting the astronauts' extravehicular activity mission, China's space station has applied a professional field AI large model for the first time.","\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">According to the China Manned Space Engineering Office, at 22:47 Beijing Time on August 15, 2025, after an extravehicular activity lasting about 6.5 hours, the Shenzhou 20 crew members Chen Dong, Chen Zhongrui, and Wang Jie completed the set tasks in close coordination with the space station's robotic arm and support from ground researchers. The astronauts who went outside, Chen Dong and Wang Jie, have safely returned to the Wentian experimental cabin, and the extravehicular activity was successfully completed.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Unlike previous times, this time the Shenzhou 20 crew had a new assistant, which is the \"Wukong AI\" large model carried aboard by the Tianzhou 9 cargo spacecraft. During the preparation work for the third extravehicular activity of the Shenzhou 20 crew, the \"Wukong AI\" large model played an auxiliary supporting role, and it also provided intelligent and specialized support for the astronauts' on-orbit work.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The \"Wukong AI\" is based on domestic open-source models, combined with the requirements of manned spaceflight missions, and uses pre-training and instruction fine-tuning technology to build a professional domain large language model and a knowledge base centered around aerospace flight knowledge standards.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002F74346c96d7844f62862982306fd6b7ad\u002Ffe7c0c25822a4d70abdc0fd6d574edde~tplv-tt-origin-web_gif.jpeg\" width=\"767\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Zou Pengfei, China Astronaut Research and Training Center:\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Astronauts can ask \"Wukong AI\" according to their needs, for example, what work there is today, and what operational guidelines or explanatory knowledge may be involved during the work process.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fbb0ce8e2ad634a0bb776ccd483e9ec59\u002F37832d3b8fc40b8a61e83a201adc30ae~tplv-tt-origin-web_gif.jpeg\" width=\"801\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The application of large model technology in China's space station has been verified for the first time, building a smart question-and-answer support system for space-ground collaboration. Through two models, one on the ground and one in orbit, they respectively provide professional knowledge depth analysis capabilities and solutions to difficult and key problems.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fae54dd0055a143ceb84bca8eb8d7eca9\u002Fe7859ab6b6d6927404503467cc367f6c~tplv-tt-origin-web_gif.jpeg\" width=\"798\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Zou Pengfei, China Astronaut Research and Training Center:\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The \"Wukong AI\" large model provides rapid and effective information support for complex operations and fault handling by astronauts in orbit. It helps astronauts work more effectively, enriches the psychological support in orbit, and also helps improve the efficiency of space-ground collaboration.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fa264afa863b0406d9f2d3c762bc272d9\u002F9a6fea5aee8567266733383d7f428d45~tplv-tt-origin-web_gif.jpeg\" width=\"799\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">In addition, in response to the characteristics of manned spaceflight missions being professional, diverse, complex, and involving massive data, the \"Wukong AI\" large model develops various functions such as scenario-based data processing to ensure quick responses and rigorous and correct answers. In the future, it can be expanded to add functions such as task planning, data analysis, and intelligent prediction. The \"Wukong AI\" large model has operated stably for one month in orbit, and the crew astronauts have given positive feedback. This achievement marks an important progress in the in-orbit intelligent application of China's space station.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【News Source】CCTV News Client \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7539144254715658806\u002F?upstream_biz=doubao&source=m_redirect\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7539144254715658806\u002F?upstream_biz=doubao&source=m_redirect\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（This article is reprinted by this website to provide readers with more information and news. The content does not constitute investment or consumption advice. If there are any questions about the facts of the article, please verify with the relevant parties. The views of the article are not the views of this website and are for reference only.）\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Aedd7551b-e61f-42fe-9978-9ccb7e7cbf77%3A0.wav?Expires=1774838492&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=IUNuC8I7xdTMio%2BXWgwRKhOwKBU%3D","edd7551b-e61f-42fe-9978-9ccb7e7cbf77",6189978]