相较于通用大模型，"砼真砼知"大模型以"深度专业化"构建核心竞争力。其不仅能实现专家级、可溯源 的智能问答，精准解答混凝土材料研发、设计、工程应用中的复杂问题，更集成四大知识处理工具—— 智能数据提取、数据多维对比、文献综述生成、知识图谱构建，将传统需数日甚至数月完成的文献调 研、数据分析工作压缩至分钟级，极大解放科研与工程人员生产力。 中国工程院院士、东南大学首席教授刘加平介绍："该模型推动混凝土材料研发迈入数据驱动的'第四范 式'，为工程材料领域破解数据、算法、模型关键难题提供了标杆方案，将加速建材产业低碳转型与高 质量发展。" 本报南京2月1日电（记者邹晓菁、苏雁 通讯员孙艳） 1日，"砼真砼知"混凝土材料科学大模型在江苏南京首发。该模型由重大基础设施工程材料全国重点实 验室联合东南大学大数据中心、阿里云计算有限公司共同打造，是国内首个混凝土材料科学大模型。该 成果以"人工智能+混凝土材料"深度融合为核心，打破传统工程材料研发与应用的范式局限，标志着我 国在工程材料智能化领域跻身国际领先行列，为全球基础设施建设数字化、低碳化转型提供"中国方 案"。 来源：光明日报 ...

Core Insights - The "Concrete True Knowledge" model, developed by the National Key Laboratory of Major Infrastructure Engineering Materials in collaboration with Southeast University and Alibaba Cloud, is the first concrete materials science model in China, marking a significant advancement in the field of intelligent engineering materials [3][5] - This model integrates artificial intelligence with concrete materials science, enhancing the accuracy of performance predictions and providing a digital, low-carbon transformation solution for global infrastructure construction [3][5] Group 1 - The model can unify various influencing factors into a computational framework, significantly improving the accuracy of concrete performance predictions [3][5] - It features a "deep specialization" approach, allowing for expert-level, traceable intelligent Q&A, and integrates four knowledge processing tools to streamline literature research and data analysis from days or months to minutes, increasing efficiency by over 90% in design phases [5][6] - The model includes an open intelligent agent platform that offers three core intelligent agents for performance prediction, mix design, and crack risk assessment, filling a technological gap in intelligent concrete design [5][6] Group 2 - The model benefits a wide range of users, from the general public concerned with housing construction to professionals in engineering management and researchers in advanced exploration [6] - It has been applied in major projects, such as the Nanjing High-Speed Railway North Station, where it adjusts concrete performance predictions based on real-time environmental conditions [6] - Future plans include continuous improvement of the model, development of specialized intelligent agents, and integration with production and construction equipment for real-time sensing and automatic adjustments throughout the entire process [6][7]