[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fdsPq5pN_beYQxdjrnOvdkbOOjQMRhC5mtHmBOmoKVm4":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},1221,"铁一院携手商汤科技！70年工程经验迎来AI传承新模式","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">中国铁路建设领域正在经历一场知识传承革命。拥有 70 年历史的中铁第一勘察设计院近日与商汤科技达成深度合作，共同推出\"国铁价值工程多模态大模型应用平台\"，这标志着传统铁路工程设计首次拥抱前沿AI技术。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">中铁第一勘察设计院成立于 1953 年，作为中国铁路建设的重要力量，该院在国内外铁路工程领域创造了众多标杆项目。然而，随着行业发展和人员流动，传统的知识传承方式面临严峻挑战。宝贵的工程经验、技术积累和设计数据逐渐流失，如何有效保存和传递这些核心资产成为亟待解决的问题。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">面对这一行业痛点，铁一院选择与商汤科技\"大装置\"团队合作，开发出这套创新性的AI应用平台。该平台的突破性在于首次将多模态大模型技术引入铁路工程设计领域，能够同时处理和理解文本、图纸、表格、公式等多种类型的工程数据。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">平台的技术架构相当先进。它将原本分散在不同格式中的异构数据整合为统一的知识库系统，设计人员可以通过自然语言查询快速检索所需信息。无论是历史工程案例、技术规范还是设计标准，都能在几秒钟内精准定位，大幅提升了信息获取效率。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">更重要的是，该平台具备了智能问答、知识检索和文本自动生成等核心功能。设计人员在遇到技术难题时，可以直接向系统提问，获得基于历史经验和最佳实践的专业建议。同时，系统还能自动生成技术文档和设计说明，显著减少了人工编写和审核的工作量。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">商汤科技为这个项目提供了全方位的技术保障，从底层数据服务到算法模型优化，再到上层应用开发，确保了系统在实际工程环境中的稳定性和准确性。这种深度定制化的解决方案充分考虑了铁路工程设计的专业特点和实际需求。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">铁一院相关专家表示，这一合作成果不仅解决了知识传承难题，更为整个铁路工程设计行业的数字化转型提供了可复制的成功范例。通过AI技术的加持，新一代设计人员能够快速掌握前辈积累的宝贵经验，避免重复性错误，将更多精力投入到创新性设计工作中。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">随着平台在铁一院的成功应用，这一模式有望向更多铁路勘察设计单位推广。这不仅能够提升整个行业的设计效率和质量水平，更为中国铁路的高质量发展注入了新的技术动力。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">在人工智能与传统工程行业深度融合的大趋势下，铁一院与商汤科技的合作开创了行业先河，为其他基础设施建设领域的知识管理和技术传承提供了宝贵的借鉴经验。\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>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】\u003C\u002Fspan>\u003Cspan style=\"color: rgb(187, 187, 187); font-size: 14px;\">AIbase基地 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20503\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20503\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\u002F9ea9cead30d348baa035887a4ad5b6ec\u002FAI领域.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fthumbs\u002F9ea9cead30d348baa035887a4ad5b6ec\u002FAI领域.jpg",0,1,211,"2025-08-14 18:58",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%3A05408bfe-9e49-4329-9b05-054791ff160e%3A0.wav?Expires=1755173658&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=Xtullfr%2FJclEKgkQP%2Bp9Wzxh2Sk%3D",5317746,"05408bfe-9e49-4329-9b05-054791ff160e","2025-08-14 18:50","Iron First Institute partners with SenseTime! 70 years of engineering experience embraces a new model of AI inheritance","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">The Chinese railway construction sector is undergoing a revolution in knowledge inheritance. The China Railway First Survey and Design Institute, which has a history of 70 years, has recently reached a deep collaboration with SenseTime to jointly launch the \"National Railway Value Engineering Multimodal Large Model Application Platform\", marking the first time traditional railway engineering design has embraced cutting-edge AI technology.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The China Railway First Survey and Design Institute was established in 1953. As an important force in China's railway construction, the institute has created many landmark projects in domestic and foreign railway engineering fields. However, with industry development and personnel turnover, traditional methods of knowledge inheritance are facing serious challenges. Valuable engineering experience, technical accumulation, and design data are gradually being lost, and how to effectively preserve and transmit these core assets has become an urgent problem.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Faced with this industry pain point, the Iron First Institute chose to collaborate with SenseTime's \"Big Device\" team to develop this innovative AI application platform. The breakthrough of this platform lies in the first introduction of multimodal large model technology into the field of railway engineering design, which can process and understand various types of engineering data, including text, drawings, tables, formulas, etc.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The technical architecture of the platform is quite advanced. It integrates heterogeneous data scattered in different formats into a unified knowledge base system. Designers can quickly retrieve the information they need through natural language queries. Whether it is historical engineering cases, technical specifications or design standards, they can be accurately located within a few seconds, greatly improving the efficiency of information retrieval.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">More importantly, the platform has core functions such as intelligent Q&A, knowledge retrieval, and text auto-generation. When designers encounter technical difficulties, they can directly ask the system for professional advice based on historical experience and best practices. At the same time, the system can automatically generate technical documents and design descriptions, significantly reducing the workload of manual writing and review.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">SenseTime provides comprehensive technical support for this project, from underlying data services to algorithm model optimization, and then to upper-level application development, ensuring the stability and accuracy of the system in actual engineering environments. This deeply customized solution fully considers the professional characteristics and practical needs of railway engineering design.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Experts from the Iron First Institute stated that this collaborative achievement not only solves the problem of knowledge inheritance, but also provides a replicable successful example for the digital transformation of the entire railway engineering design industry. With the support of AI technology, the new generation of designers can quickly master the valuable experience accumulated by their predecessors, avoid repetitive errors, and focus more on innovative design work.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">With the successful application of the platform in the Iron First Institute, this model is expected to be promoted to more railway survey and design units. This will not only improve the design efficiency and quality level of the entire industry, but also inject new technological power into the high-quality development of China's railways.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">In the context of the deep integration of artificial intelligence and traditional engineering industries, the cooperation between the Iron First Institute and SenseTime has set a precedent in the industry, providing valuable reference experiences for knowledge management and technology inheritance in other infrastructure construction fields.\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>\u003Cspan style=\"color: rgb(187, 187, 187);\">[News Source]\u003C\u002Fspan>\u003Cspan style=\"color: rgb(187, 187, 187); font-size: 14px;\">AIbase Base \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20503\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20503\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（This article is forwarded by this website to provide readers with more information. 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%3Acd3e1b91-e5cf-4a31-93f7-c09c3c127a77%3A0.wav?Expires=1774838496&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=6W7js2xjxvcKIzINH%2FrZwo%2F2gfM%3D","cd3e1b91-e5cf-4a31-93f7-c09c3c127a77",7412978]