AI-structure Copilot建筑户型设计功能更新：HouseMind正式上线

0

引言

我们的AI设计助手 AI-structure Copilot 最近做了一次比较大的功能扩展，有很多更新的内容，今天介绍两个新功能。

(1)建筑户型平面生成与编辑功能HouseMind正式在AI-structure Copilot上线；
(2)所有建筑户型平面设计项目都支持云端存储与管理。

前者解决“如何更好地操作建筑平面智能设计”，后者解决“做完之后成果怎么管、怎么用”。整体目标还是一件事：如何让建筑平面户型方案设计更简单。

1

HouseMind：建筑平面生成与编辑

在做建筑方案阶段，很多时间其实花在反复推敲平面上：怎么分房间、怎么连、怎么调。

HouseMind把这个过程给智能化了，给定外轮廓 + 房间需求，自动生成一个可用的平面方案，同时支持整体及局部修改：

• 改房间类型（比如次卧 → 书房）

• 调整面积

• 修改房间之间的连接关系

• 直接用自然语言描述修改需求

我们力图提供一个“可以一起推方案的工具”，而不是一次性出结果的黑箱。

HouseMind的理论背景介绍参阅：

图1 HouseMind建筑平面生成与编辑页面

2

新增：项目云端存储与管理

之前HouseMind发布的是实验室测试版本，存在一个比较实际的问题是：方案做完之后，不太好管理，比如：修改版本太多记不住；做过的方案容易丢；想回头修改比较麻烦。

这次我们把这些问题都解决了：

• 所有项目自动保存到云端

• 可以随时打开继续修改

• 多个方案可以统一管理和查看

经我们内部测试，这个功能很好地提升了设计项目管理的使用体验。

图2 项目云端存储与管理平台

3

基本使用流程

整体流程还是一如既往的很简单：

(1)新建项目，点击进入生成与编辑页面

(2)设定建筑外轮廓（绘制或上传）

(3)定义房间的类型、面积和连接关系

(4)一键生成平面布局

(5)根据需要持续调整

(6)返回项目列表查看当前项目

一般来说，几分钟就可以得到一个建筑平面布置初版，并可在此后随时修改。

4

结语

这一版更新之后，整体体验上有几个比较明显的变化：

(1)从“能生成”变成“可以持续迭代修改”

建筑平面生成不再是一次出结果的黑箱，而是可以反复修改、推敲的设计助手

(2)从“临时结果”变成“可管理项目”

AI设计的方案可以沉淀下来，以便未来查阅、修改、再利用，而不是用完就没

(3)从“单点功能”变成“一个完整的流程”

“生成 → 修改 → 保存 → 再利用”，打通整个建筑平面设计的流程

AI-structure Copilot的每一次升级，都是课题组在“AI+建筑-结构设计”领域的又一次探索。我们坚信，AI辅助工程师高效高质量设计的目标会逐步转化为现实。欢迎大家对我们的最新版本软件功能进行试用，并多多提供意见和建议。

后续，我们还将不断完善相关产品功能。欢迎大家持续关注我们的工作，多多支持！

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)。

--End--

3分钟视频演示剪力墙结构智能设计完整操作流程

1分钟视频建筑户型平面生成与编辑流程

ai-structure.com联系方式

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(huangshengnan@mail.tsinghua.edu.cn)

技术问题请联系：

廖文杰(liaowj17@tsinghua.org.cn)

ai-structure.com往期文章

1. (20260320)

2. (20260312)

3. (20260305)

4. (20260211)

5. (20260209)

6. (20260123)

7. (20251226)

8. (20251211)

9. (20251210)

10. (20251120)

11. (20251030)

12. (20251027)

13. (20250926)

14. (20250913)

15. (20250912)

16. (20250911)

17. (20250828)

18. (20250723)

19. (20250703)

20. (20250609)

21. (20250606)

22. (20250513)

23. (20250414)

24. (20250314)

25. (20250221)

26. (20250218)

27. (20250212)
    

28. (20250117)
    

29. (20241228)

30. (20241227)
    

31. (2024/12/02)
    

32. (20241104)
    

33. (20241018)
    

34. (20240909)
    

35. (20240830)
    

36. (20240809)
    

37. (20240726)
    

38. (20240712)
    

39. (20240628)
    

40. (20240522)
    

41. (20240520)
    

42. (20240511)

43. (20240419)
    

44. (20240329)

45. (20240315)

46. (20240308)
    

47. (20240219)
    

48. (20240126)
    

49. (20231230)
    

50. (20231222)
    

51. (20231208)
    

52. (20231201)
    

53. (20231103)
    

55. (20231008)
    

56. (20230928)
    

57. (20230915)
    

58. (20230731)
    

59. (20230711)
    

60. (20230519)
    

61. (20230518)
    

62. (20230513)
    

63. (20230508)
    

64. (20230503)
    

相关论文

1. Liao WJ, Lu XZ, Huang YL, Zheng Z, Lin YQ, Automated structural design of shear wall residential buildings using generative adversarial networks, Automation in Construction, 2021, 132: 103931. DOI: 10.1016/j.autcon.2021.103931.
   

2. Lu XZ, Liao WJ, Zhang Y, Huang YL, Intelligent structural design of shear wall residence using physics-enhanced generative adversarial networks, Earthquake Engineering & Structural Dynamics, 2022, 51(7): 1657-1676. DOI: 10.1002/eqe.3632.
   

3. Zhao PJ, Liao WJ, Xue HJ, Lu XZ, Intelligent design method for beam and slab of shear wall structure based on deep learning, Journal of Building Engineering, 2022, 57: 104838. DOI: 10.1016/j.jobe.2022.104838.

4. Liao WJ, Huang YL, Zheng Z, Lu XZ, Intelligent generative structural design method for shear-wall building based on “fused-text-image-to-image” generative adversarial networks, Expert Systems with Applications, 2022, 118530, DOI: 10.1016/j.eswa.2022.118530.

5. 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.

6. Fei YF, Liao WJ, Huang YL, Lu XZ, Knowledge-enhanced generative adversarial networks for schematic design of framed tube structures, Automation in Construction, 2022, 144: 104619. DOI: 10.1016/j.autcon.2022.104619.

7. Zhao PJ, Liao WJ, Huang YL, Lu XZ, Intelligent design of shear wall layout based on attention-enhanced generative adversarial network, Engineering Structures, 2023, 274: 115170. DOI: 10.1016/j.engstruct.2022.115170.

8. Zhao PJ, Liao WJ, Huang YL, Lu XZ, Intelligent beam layout design for frame structure based on graph neural networks, Journal of Building Engineering, 2023, 63, Part A: 105499. DOI: 10.1016/j.jobe.2022.105499.

9. Zhao PJ, Liao WJ, Huang YL, Lu XZ, Intelligent design of shear wall layout based on graph neural networks, Advanced Engineering Informatics, 2023, 55:101886, DOI: 10.1016/j.aei.2023.101886

10. Liao WJ, Wang XY, Fei YF, Huang YL, Xie LL, Lu XZ, Base-isolation design of shear wall structures using physics-rule-co-guided self-supervised generative adversarial networks, Earthquake Engineering & Structural Dynamics, 2023, 52(11): 3281-3303. DOI:10.1002/eqe.3862.

11. Feng YT, Fei YF, Lin YQ, Liao WJ, Lu XZ, Intelligent generative design for shear wall cross-sectional size using rule-embedded generative adversarial network, Journal of Structural Engineering-ASCE, 2023, 149(11). 04023161. DOI:10.1061/JSENDH.STENG-12206.

12. Fei YF, Liao WJ, Lu XZ, Guan H, Knowledge-enhanced graph neural networks for construction material quantity estimation of reinforced concrete buildings, Computer-Aided Civil and Infrastructure Engineering, 2024, 39(4): 518-538. DOI: 10.1111/mice.13094.

13. Zhao PJ, Fei YF, Huang YL, Feng YT, Liao WJ, Lu XZ, Design-condition-informed shear wall layout design based on graph neural networks, Advanced Engineering Informatics, 2023, 58: 102190. DOI: 10.1016/j.aei.2023.102190.

14. Fei YF, Liao WJ, Lu XZ, Taciroglu E, Guan H, Semi-supervised learning method incorporating structural optimization for shear-wall structure design using small and long-tailed datasets, Journal of Building Engineering, 2023, 79: 107873. DOI：10.1016/j.jobe.2023.107873

15. Liao WJ, Lu XZ, Fei YF, Gu Y, Huang YL, Generative AI design for building structures, Automation in Construction, 2024, 157: 105187. DOI: 10.1016/j.autcon.2023.105187

16. Zhao PJ, Liao WJ, Huang YL, Lu XZ, Beam layout design of shear wall structures based on graph neural networks, Automation in Construction, 2024, 158: 105223. DOI: 10.1016/j.autcon.2023.105223

17. Qin SZ, Liao WJ, Huang SN, Hu KG, Tan Z, Gao Y, Lu XZ, AIstructure-Copilot: assistant for generative AI-driven intelligent design of building structures, Smart Construction, 2024, DOI: 10.55092/sc20240001

18. Gu Y, Huang YL, Liao WJ, Lu XZ, Intelligent design of shear wall layout based on diffusion models, Computer-Aided Civil and Infrastructure Engineering, 2024, 39(23):3610-3625. DOI: 10.1111/mice.13236

19. Fei YF, Liao WJ, Zhao PJ, Lu X*, Guan H, Hybrid surrogate model combining physics and data for seismic drift estimation of shear-wall structures, Earthquake Engineering & Structural Dynamics, 2024, 53(10): 3093-3112. DOI: 10.1002/eqe.4151

20. Han J, Lu XZ, Gu Y, Cai Q, Xue HJ, Liao WJ, Optimized data representation and understanding method for the intelligent design of shear wall structures, Engineering Structures, 2024, 315: 118500. DOI: 10.1016/j.engstruct.2024.118500

21. Qin SZ, Guan H, Liao WJ, Gu Y, Zheng Z, Xue HJ, Lu XZ, Intelligent design and optimization system for shear wall structures based on large language models and generative artificial intelligence, Journal of Building Engineering, 2024, 95: 109996. DOI: 10.1016/j.jobe.2024.109996

22. Wang ZH, Yue Y, Chen Y, Liao WJ, Li CS, Hu KG, Tan Z, Lu XZ. Expert experience-embedded evaluation and decision-making method for intelligent design of shear wall structures. Journal of Computing in Civil Engineering-ASCE, 2025, 39(1). DOI: 10.1061/JCCEE5.CPENG-6076

23. Tan Z, Qin SZ, Hu KG, Liao WJ, Gao Y, Lu XZ, Intelligent generation and optimization method for the retrofit design of RC frame structures using buckling-restrained braces, Earthquake Engineering & Structural Dynamics, 2025, 54(2): 530-547. DOI: 10.1002/eqe.4268

24. Yu Y, Chen Y, Liao WJ, Wang ZH, Zhang SL, Kang YJ, Lu XZ, Intelligent generation and interpretability analysis of shear wall structure design by learning from multidimensional to high-dimensional features, Engineering Structures, 2025, 325: 119472. DOI: 10.1016/j.engstruct.2024.119472

25. Qin SZ, Liao WJ, Huang YL, Zhang Shulu, Gu Y, Han J, Lu XZ, Intelligent design for component size generation in reinforced concrete frame structures using heterogeneous graph neural networks, Automation in Construction, 2025, 171: 105967.

26. Xia JK, Liao WJ, Han B, Zhang SL, Lu XZ, Intelligent co-design of shear wall and beam layouts using a graph neural network, Automation in Construction, 2025, 172: 106024.
    

27. Qin SZ, Liao WJ, Tan Z, Hu KG, Gao Y, Lu XZ, Comparative analysis of intelligent retrofit design methods of RC frame structures using buckling-restrained braces. Bulletin of Earthquake Engineering, 2025, DOI: 10.1007/s10518-025-02164-3

28. Liao WJ, Zhang ZL, Liu B, Lu XZ, Liu DF, Liu Q, Duan ZJ, Liu C, Intelligent zoning design of concrete-faced rockfill dams using image-parameter fusion enhanced generative adversarial networks, Engineering Structures, 2025, 339: 120662. DOI: 10.1016/j.engstruct.2025.120662

29. Qin SZ, Fei YF, Liao WJ, Lu XZ*, Leveraging data-driven artificial intelligence in optimization design for building structures: A review, Engineering Structures, 2025, 341: 120810. DOI: 10.1016/j.engstruct.2025.120810

30. Fei YF, Lu XZ, Liao WJ, Guan H, Data enhancement for generative AI design of shear wall structures incorporating structural optimization and diffusion models, Advances in Structural Engineering, 2025, DOI: 10.1177/13694332251353614

31. Gu Y, Qin SZ, Liao WJ, Lu XZ*, Intelligent design of dimensions of reinforced concrete frame structure components using diffusion models, Computers in Industry, 2026, 175: 104428. DOI: 10.1016/j.compind.2025.104428

相关资料

学术报告视频

论文和专利

---End--