[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f29-9-guew54UhpR7cjwkhBI-xUxFEtCgK6Fluo2SjMY":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},1253,"培育“AI超级员工”赋能上海制造 《上海市加快推动“AI+制造”发展的实施方案》公布","\u003Cp class=\"ql-align-justify\">\u003Cstrong style=\"color: rgb(255, 153, 0); font-size: 18px;\">人工智能应用，开始在真正的主战场发力。记者从上海市经信委获悉，《上海市加快推动“AI+制造”发展的实施方案》（以下简称“方案”）昨天正式公布。方案提出，力争通过三年努力，推动3000家制造业企业实现智能化应用，打造10个行业标杆模型，形成100个标杆智能产品，推广100个示范应用场景，发展约5家综合集成服务商，让希望借助AI焕新出发的制造业企业从“有想法”迈向“能实现”。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">上海是人工智能与制造业的“双高地”，更是两者融合创新的沃土。事实上，在此次方案出台前，AI已在制造业研发、检测、运维等场景中率先奔赴，落地应用。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">比如，风电厂在设计时便对AI有着天然需求。在黔、桂、滇等地的山区，地形多变，各处风速、风向变幻无穷，风机选择、点位布局是一个在海量动态参数中实现“多目标寻优”的过程。上海电气引入人工智能算法，将研发设计效率至少提升30%，并实现了“人算”很难企及的更优解。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">又如，在钢铁行业，钢花四溅背后是算法与数据的奔流。质检人员对热轧表面复杂缺陷检测，准确率始终难以突破80%的天花板。华院计算自研的钢铁行业大模型凭借自有算法和多模态理解能力，学习少量样本即能“举一反三”，不仅能理解图片、视频、文字说明，对行业老师傅各种抽象的经验要诀，也能汲取并领悟。这位“学霸”徒弟2020年就在宝武集团小试牛刀，将检测准确率迅速提升至98%。2024年，华院计算正式推出钢铁行业大模型，不仅稳定应用于国内数十家钢厂，更已成功出海，应用于墨西哥阿塞雷罗钢铁。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">这些成功探索，证明了“AI+制造”的巨大价值。为了让更多制造业企业拥抱AI，此次上海制定并发布方案，为未来规模化应用规划了清晰路径。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">工业场景的专业壁垒高，复杂性强，容错率极低。AI要在这一严肃场景打造“靠谱人设”，单纯靠模型难以理解工业场景并自动执行，须依托智能体。为此方案鼓励发展面向垂类领域的工业智能体，实现“小切口”精准赋能。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">当前，工业智能体产品正加速迭代，以单体智能、群体协同、系统集成为特征的智能体矩阵，正在成为推动制造业转型升级的核心驱动力。华院计算等成功案例，都是智能体的成功探索。此次方案将为更多行业打造可复制推广的“AI超级员工”。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">为了促进AI赋能精准落地，方案强调一业一策、分类施策。据记者了解，经前期排摸，本次方案首批聚焦10个行业，包括高端装备、钢铁、集成电路、电子信息、汽车、船舶海工、航空航天、先进材料、时尚消费品、医药制造，率先打造细分领域行业模型。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">工业AI存在“三高”难题，即高准入门槛、高运营成本、高安全风险，这是阻碍制造业企业迈入AI大门的“拦路虎”。这当中，数据决定了工业模型的上限，必须对专业知识进行高水平数据治理，形成工业高质量数据集，才可有效转化为生产力。然而，工业语料分享与流通机制尚未建立。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">知易行难，为突破瓶颈，上海着力构建“技术突破—场景落地—生态协同”闭环体系。不久前闭幕的2025世界人工智能大会暨人工智能全球治理高级别会议上，上海宣布成立三大平台，包括宝信软件的宝联登工业平台、上海联通工业智算云公共服务平台、库帕思工业语料公共服务平台。这三大平台，嫁接了算力、语料、数据治理、智能体、工具调用、智能装备及专业服务商等，旨在大幅降低AI大模型使用门槛，提高应用效率。这一范式，在全国并不多见。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">据上海库帕思科技有限公司首席执行官黄海清介绍，库帕思深度参与上海“模塑申城”中的“5+6”领域及行业语料库建设，其中工业高质量数据集建设最难，但目前规模已达50TB（太字节），还率先建设了钢铁语料库标准及导则。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">据悉，在应用端，受上海各类AI政策、方案及实施意见等叠加鼓舞，上海制造业抢搭AI快车行动尤为积极，市经信委制造业智能专项去年以来支持资金已达2亿元，申请企业数十家，且其中近半数为民营企业。此次新政发布，将持续降低企业转型成本，培育壮大智能化方案服务商，让AI在制造业主战场上遍地开花。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\" class=\"ql-lineHeight-1-75\">【新闻来源】解放日报 记者 李晔 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.shanghai.gov.cn\u002Fnw4411\u002F20250820\u002F7ac4bacd33c44cae8bf2d297198261f6.html\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fwww.shanghai.gov.cn\u002Fnw4411\u002F20250820\u002F7ac4bacd33c44cae8bf2d297198261f6.html\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\u002F0ace1945297846e2b8f1992b3b4f1c90\u002FAI领域.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fthumbs\u002F0ace1945297846e2b8f1992b3b4f1c90\u002FAI领域.jpg",0,1,226,"2025-08-20 19:57",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%3Abf78ebfc-40f8-4c0d-b70c-3917ac2aef33%3A0.wav?Expires=1755695471&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=buokIQsad2iV3sHXKyfQOfzhtuc%3D",8881284,"bf78ebfc-40f8-4c0d-b70c-3917ac2aef33","2025-08-20 19:56","Cultivating \"AI Super Employees\" to Empower Shanghai Manufacturing The Implementation Plan for Accelerating the Development of \"AI+ Manufacturing\" in Shanghai was announced","\u003Cp class=\"ql-align-justify\">\u003Cstrong style=\"color: rgb(255, 153, 0); font-size: 18px;\">Artificial intelligence applications are now starting to exert their power in the real main battlefield. According to a report from the Shanghai Municipal Commission of Economy and Information Technology, the Implementation Plan for Accelerating the Development of \"AI+ Manufacturing\" in Shanghai (hereinafter referred to as the \"Plan\") was officially released yesterday. The plan proposes that through three years of efforts, it is expected to promote 3,000 manufacturing enterprises to achieve intelligent applications, build 10 industry benchmark models, form 100 benchmark smart products, promote 100 demonstration application scenarios, develop about 5 comprehensive integration service providers, and enable manufacturing enterprises hoping to revitalize through AI to move from \"having ideas\" to \"being able to achieve\".\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">Shanghai is the \"dual high ground\" of artificial intelligence and manufacturing, and also a fertile ground for the integration and innovation of the two. In fact, before this plan was issued, AI had already been applied in the fields of R&D, testing, and maintenance in the manufacturing industry.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">For example, wind farms have a natural demand for AI during design. In mountainous areas such as Guizhou, Guangxi, and Yunnan, the terrain is changeable, and the wind speed and direction vary infinitely. The selection of wind turbines and the layout of points is a process of \"multi-objective optimization\" in a massive dynamic parameter environment. Shanghai Electric introduced artificial intelligence algorithms, which at least increased the R&D design efficiency by 30% and achieved a better solution that is hard to reach by \"human calculation\".\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">Another example is in the steel industry, where the splashing of steel flowers is driven by algorithms and data flows. The accuracy rate of quality inspection personnel detecting complex defects on hot-rolled surfaces has always struggled to break through the ceiling of 80%. Hua Yuan Computing's self-developed large model for the steel industry, with its own algorithms and multimodal understanding capabilities, can learn from a small number of samples and \"apply knowledge to similar situations\". It not only understands images, videos, and text descriptions but also absorbs and comprehends various abstract experience techniques from industry experts. This \"academic prodigy\" apprentice made its debut in the Baowu Group in 2020, quickly increasing the detection accuracy rate to 98%. In 2024, Hua Yuan Computing officially launched its large model for the steel industry, which is now stably applied in dozens of steel mills domestically and has successfully expanded to Mexico's ArcelorMittal Steel.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">These successful explorations prove the great value of \"AI + manufacturing.\" To enable more manufacturing enterprises to embrace AI, Shanghai formulated and released this plan, outlining a clear path for future large-scale applications.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">The professional barriers in industrial scenarios are high, the complexity is strong, and the tolerance for errors is extremely low. For AI to establish a \"reliable image\" in this serious scenario, it cannot rely solely on models to understand industrial scenarios and perform automatically; it must rely on intelligent agents. Therefore, the plan encourages the development of industrial intelligent agents tailored for specific industries, achieving \"small cuts\" for precise empowerment.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">Currently, industrial intelligent agent products are accelerating iteration, and the intelligent agent matrix characterized by single-agent intelligence, group collaboration, and system integration is becoming a core driving force for the transformation and upgrading of the manufacturing industry. Successful cases like Hua Yuan Computing are all successful explorations of intelligent agents. This plan will create more replicable and scalable \"AI super employees\" for more industries.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">To promote the accurate implementation of AI empowerment, the plan emphasizes one industry, one strategy, and categorized measures. According to information obtained by the reporter, after preliminary investigation, this plan focuses on the first 10 industries, including high-end equipment, steel, integrated circuits, electronic information, automobiles, shipbuilding and marine engineering, aerospace, advanced materials, fashion consumer goods, and pharmaceutical manufacturing, and will lead the creation of industry models in specific fields.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">Industrial AI faces \"three highs\" challenges, namely high access barriers, high operating costs, and high security risks, which are the \"tigers blocking the way\" preventing manufacturing enterprises from entering the AI door. Among these, data determines the upper limit of industrial models, and high-level data governance of professional knowledge must be carried out to form high-quality industrial data sets, thereby effectively converting into productivity. However, the mechanism for sharing and circulating industrial corpora has not yet been established.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">Knowing is easy, but doing is difficult. To break through the bottleneck, Shanghai is striving to build a closed-loop system of \"technical breakthroughs - scenario implementation - ecological collaboration.\" Recently, at the closing of the 2025 World Artificial Intelligence Conference and the High-Level Meeting on Global Governance of Artificial Intelligence, Shanghai announced the establishment of three platforms, including the Baolian Deng Industrial Platform by Baixin Software, the Shanghai Unicom Industrial Intelligent Computing Cloud Public Service Platform, and the Kupath Industrial Corpus Public Service Platform. These three platforms integrate computing power, corpora, data governance, intelligent agents, tool calls, intelligent equipment, and professional service providers, aiming to significantly reduce the entry barrier for using large AI models and improve application efficiency. This model is rare nationwide.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">According to Huang Haqing, CEO of Shanghai Kupath Technology Co., Ltd., Kupath has deeply participated in the construction of the \"5+6\" fields and industry corpus in Shanghai's \"Modeling the City of XINWEI,\" among which the construction of high-quality industrial data sets is the most challenging, but the current scale has reached 50TB (terabytes), and it has also pioneered the construction of standards and guidelines for the steel corpus.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\">It is reported that on the application side, encouraged by the accumulation of various AI policies, plans, and implementation opinions in Shanghai, the manufacturing industry in Shanghai has been very proactive in catching the AI train. Since last year, the special fund for intelligent manufacturing supported by the Shanghai Municipal Commission of Economy and Information Technology has reached 200 million yuan, with dozens of applying companies, and nearly half of them are private enterprises. The release of this new policy will continue to reduce the cost of enterprise transformation, cultivate and expand intelligent solutions service providers, and make AI bloom throughout the manufacturing industry battlefield.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\" class=\"ql-lineHeight-1-75\">[News Source] Liberation Daily Reporter Li Ye \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.shanghai.gov.cn\u002Fnw4411\u002F20250820\u002F7ac4bacd33c44cae8bf2d297198261f6.html\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fwww.shanghai.gov.cn\u002Fnw4411\u002F20250820\u002F7ac4bacd33c44cae8bf2d297198261f6.html\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 doubts about the facts in the article, please verify with relevant parties. The views in 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%3Ada23f77b-6382-481d-8343-a2d004a94e1d%3A0.wav?Expires=1774838491&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=R02DY6iV8BSCd3te0zIhZm0sUoU%3D","da23f77b-6382-481d-8343-a2d004a94e1d",13777522]