合木智构喜提“国家高新技术企业”认证！
近日，北京合木智构科技有限公司（AI-structure Copilot 的研发团队）正式通过国家高新技术企业认定！
“国高新”认证不仅是对我们技术实力和创新成果的权威认可，也是对我们坚持“AI+工程设计”路线的莫大鼓励。这份荣誉，离不开每一位使用 AI-structure Copilot 的工程师。正是您在4000多个真实工程项目上的应用与反馈，帮助我们将这款“会干活的AI”逐步打磨成“更懂工程的搭档”。在此，我们向所有用户致以最诚挚的感谢！
荣获“国高新”认定，是我们前进的新起点。回顾过去一年，AI-structure Copilot 围绕工程师的核心需求，在多个方向上持续迭代与升级：
1
识图能力跃迁：攻克CAD图纸前处理难题
针对工程师反馈的“CAD图纸图层不规范、前处理繁琐”等痛点，V0.4.0版本引入深度学习算法，推出了“智能识图”功能，一键识别门窗、阳台等构件信息，效率大幅提升，帮助您轻松应对复杂图层。
构件智能识别操作视频
2
算法升级，更省更合规
最新的V0.4.2版本迎来了剪力墙设计算法的重大升级。我们推出了新的“实验室版”生成式算法，针对性强化了“结构地震变形约束条件” 。实际测试表明，新算法不仅显著提升了“地震变形指标”通过率，同时在材料用量上也有一定程度的降低。
a. 此前算法A的智能设计结果
b. 实验室版算法的智能设计结果
c. 层间位移角对比
图1 实验室版本算法与算法A的比较
3
全平台兼容（Revit + 中望 + AutoCAD）
兼容Revit：2025年12月重磅上线！随着BIM需求逐渐加大，我们推出了专为Revit定制的接口，支持剪力墙智能设计及三维展示，让您的BIM设计更加高效。
兼容Revit平台操作视频
兼容中望CAD：响应国产化需求，我们为中望CAD用户提供专属AI助手，让您无论使用AutoCAD还是中望CAD，都能享受一致的智能设计体验。
兼容中望平台操作视频
4
适配新规，引导新手
适配新国标：v0.3.5 版本针对“3米层高”的住宅新规 ，通过重新训练AI模型，显著提升了结构设计的力学性能合规率。
交互式引导：V0.4.1 版本增加了交互式案例引导功能，帮助新用户在5分钟内快速学会智能设计和结构分析等核心操作，让AI不再有门槛。
交互式案例引导操作视频
5
功能拓展至建筑平面布置一键搞定
建筑户型平面生成与编辑平台：专注于建筑户型空间的智能化划分，融合了大语言模型（LLM）等前沿技术，辅助建筑师实现对平面布局的深度理解、自动生成与精准编辑。
HouseMind操作演示视频
建筑户型平面生成与3D展示平台：实现户型平面生成与 3D 展示一体化，快速完成用户抽象需求到建筑实体空间的转化，提供高效直观的建筑设计数字化解决方案
ChatHouseDiffusion操作演示视频
“国高新”的荣誉，属于每一位与合木智构同行的工程师。
感谢大家陪我们一同探索“AI+工程设计”的广阔前景。未来，我们这支“持证”的AI团队，将继续精研算法，努力让结构设计“更快、更稳、更合规”。
“欢迎大家持续关注我们的工作，多多支持！”——这句话在我们的往期推送中反复出现 ，这代表了我们最诚挚的期盼！
（附：软件下载及试用地址：https://ai-structure.com/#/IntelligentDesign)
温馨提示：为更好使用AI设计工具，请仔细阅读使用说明书(https://ai-structure.com)。
QQ群
AI-structure-交流1群：741840451（已满）
AI-structure-交流2群：1053974604（欢迎加入）
商务问题请联系：
黄盛楠([email protected])
技术问题请联系：
廖文杰([email protected])
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Fei YF, Liao WJ, Zhang S, Yin PF, Han B, Zhao PJ, Chen XY, Lu XZ, Integrated schematic design method for shear wall structures: a practical application of generative adversarial networks, Buildings, 2022, 12(9): 1295. DOI: 10.3390/buildings1209129.
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