![]()
![]()
![]()
引言
![]()
![]()
親愛的新老朋友們,新春佳節(jié)之際,先給大家拜個早年,祝大家新的一年工作順利,萬事如意!
![]()
幸福團圓 ·喜迎年味
在這舉家團圓的日子里,我們也帶給大家一個好消息,AI-structure Copilot再次突破創(chuàng)新,全新功能上線——建筑平面布置,為您的設計工作帶來全新的便捷與高效!該功能可根據(jù)用戶給定的建筑外輪廓和房間數(shù)量的需求,智能生成合理的平面布置方案,旨在幫助設計師快速完成初步設計,大幅提升工作效率。
我們的建筑平面布置產(chǎn)品包括“HouseMind:建筑戶型平面生成與編輯平臺”和“ChatHouseDiffusion:建筑戶型平面生成與3D展示平臺”兩套全新算法。本期將介紹“HouseMind:建筑戶型平面生成與編輯平臺”,下一期內(nèi)容將聚焦于“建筑戶型平面生成與3D展示平臺”。
HouseMind操作演示視頻(一分鐘)
![]()
![]()
![]()
![]()
1. "HouseMind:建筑戶型平面生成與編輯平臺"上線
![]()
![]()
官網(wǎng) (https:// ai-structure.com/#/IntelligentDesignLabs) 已上線新產(chǎn)品——HouseMind:建筑戶型平面生成與編輯平臺(圖1)。該產(chǎn)品專注于建筑戶型空間的智能化劃分,融合了大語言模型(LLM)等前沿技術(shù),輔助建筑師實現(xiàn)對平面布局的深度理解、自動生成與精準編輯。
![]()
圖1 建筑戶型平面生成與編輯平臺
“建筑戶型平面生成與編輯平臺”基于用戶提供的建筑輪廓及設計需求,系統(tǒng)能夠自動完成臥室、起居室、廚房及衛(wèi)生間等功能房間的合理規(guī)劃與排布。同時,它支持根據(jù)用戶指令進行交互式修改,幫助設計師快速推敲戶型方案,顯著提升方案設計階段的工作效率。
![]()
![]()
![]()
2. HouseMind 使用介紹
![]()
![]()
![]()
![]()
2.1 軟件界面介紹
![]()
“建筑戶型平面生成與編輯平臺”系統(tǒng)界面主要分為系統(tǒng)工具欄、頂部工具欄、可視化工作區(qū)、邏輯編輯區(qū)和對話交互區(qū)五個部分,如圖2所示。
![]()
圖2 操作界面
(1)系統(tǒng)工具欄:可切換語言(中文/English)和主題顏色(黑夜/白天)。
(2)頂部工具欄:可通過左側(cè)“生成”和“編輯”兩個主要選項卡進行功能模式切換;同時,可通過右側(cè)功能按鍵完成上傳圖片、手動繪制外輪廓(按照網(wǎng)格捕捉進行正交繪制)、載入示例和下載文件等操作。
(3)可視化工作區(qū):用于顯示當前的戶型輪廓或生成的平面圖,默認框定范圍為14米×14米。
(4)邏輯編輯區(qū):用于用戶進行房間數(shù)量、功能、面積和邏輯關(guān)系等的設置,邏輯關(guān)系越清晰準確,生成的效果越好。其中,關(guān)系氣泡圖以可視化氣泡形式展示房間及其連接關(guān)系,用戶可以拖動房間位置來設置和調(diào)整房間之間的關(guān)系;房間列表可以詳細設置每個房間的類型、面積和方位。
(5)對話交互區(qū):用戶可以輸入自然語言指令,與 AI 進行交互。
![]()
![]()
2.2 設定建筑外輪廓
![]()
用戶可以通過兩種方式設定建筑外輪廓,如圖3所示。
方法一:用戶點擊 “繪制外輪廓” 按鈕,在左側(cè)畫布上點擊鼠標定點,繪制封閉的多邊形。
方法二:用戶點擊 “上傳圖片” 或直接拖拽一張黑色輪廓圖到畫布區(qū)域。
![]()
(a)繪制外輪廓
![]()
(b)上傳圖片
圖3 設定建筑外輪廓
![]()
![]()
2.3 指定房間數(shù)量和連通關(guān)系
![]()
用戶可以在邏輯編輯區(qū)添加房間,設定房間連接關(guān)系,并設定房間方位和大小,如圖4所示。在這里分別設置了客廳、餐廳、主臥、次臥、廚房和衛(wèi)生間六個房間類型。同時,用戶可通過關(guān)系氣泡圖,利用”添加連接“和”刪除連接“功能設置各個房間的連通關(guān)系。
![]()
圖4 指定房間數(shù)量和連通關(guān)系
![]()
![]()
2.4 平面布置生成
![]()
用戶完成建筑外輪廓設定、房間數(shù)量和連通關(guān)系設定后,點擊發(fā)送按鈕,即可完成建筑平面布置的生成,如圖5所示。
![]()
圖5 建筑平面布置生成
![]()
![]()
2.5 根據(jù)用戶需求調(diào)整房間布局
![]()
在完成平面布置生成后,用戶可根據(jù)實際需要,通過“對話交互區(qū)”和“邏輯編輯區(qū)”對生成結(jié)果進行調(diào)整,通過調(diào)整得到符合自己要求的平面布局。
比如,針對圖5已經(jīng)生成的平面布置,首先點擊同步氣泡圖,獲取當前布局的拓撲關(guān)系,然后可以通過下面兩種方式指揮AI開展工作,如圖6所示。
調(diào)整方式一(整體修改):保持“生成”模式,在右側(cè)列表中修改房間屬性(如將“次臥”改為“書房”,將“廚房”面積改小),或在氣泡圖中增刪連線。
調(diào)整方式二(局部修改):點擊“編輯”按鈕進入編輯模式,在右側(cè)列表中修改房間屬性或在底部輸入指令。
![]()
(a)通過“邏輯編輯區(qū)”整體修改設計結(jié)果
![]()
(b)通過“對話交互區(qū)”局部修改生成結(jié)果
圖6 根據(jù)用戶需求調(diào)整房間布局
![]()
![]()
![]()
結(jié)語
![]()
![]()
AI-structure Copilot新增建筑平面智能設計功能,旨在幫助您高效完成建筑平面布置。我們誠邀各位用戶訪問官網(wǎng)進行試用!
后續(xù),我們還將不斷完善相關(guān)產(chǎn)品功能。歡迎大家持續(xù)關(guān)注我們的工作,多多支持!
溫馨提示:為更好地使用AI設計工具,請仔細閱讀使用說明書
![]()
聯(lián)系方式:
用戶交流QQ群
AI-structure-交流1群:741840451
AI-structure-交流2群:1053974604
商務問題請聯(lián)系
黃盛楠:huangshengnan@mail.tsinghua.edu.cn
技術(shù)問題請聯(lián)系
廖文杰:liaowj17@tsinghua.org.cn
![]()
![]()
![]()
![]()
![]()
--End--
3分鐘視頻演示剪力墻結(jié)構(gòu)智能設計完整操作流程
3分鐘視頻演示框架結(jié)構(gòu)智能設計完整操作流程
ai-structure.com往期文章
(20260123)
(20251226)
(20251211)
(20251210)
(20251120)
(20251030)
(20251027)
(20250926)
(20250913)
(20250912)
(20250911)
(20250828)
(20250723)
(20250703)
(20250609)
(20250606)
(20250513)
(20250414)
(20250314)
(20250221)
(20250218)
(20250212)
(20250117)
(20241228)
(20241227)
(2024/12/02)
(20241104)
(20241018)
(20240909)
(20240830)
(20240809)
(20240726)
(20240712)
(20240628)
(20240522)
(20240520)
(20240511)
(20240419)
(20240329)
(20240315)
(20240308)
(20240219)
(20240126)
(20231230)
(20231222)
(20231208)
(20231201)
(20231103)
(20231008)
(20230928)
(20230915)
(20230731)
(20230711)
(20230519)
(20230518)
(20230513)
(20230508)
(20230503)
相關(guān)論文
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
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
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
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
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
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
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
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
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
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
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
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
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.
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.
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/s10518-025-02164-3Liao 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.2025.120662Qin 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.2025.120810Fei 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: 10.1177/13694332251353614Gu 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
![]()
相關(guān)資料
學術(shù)報告視頻
論文和專利
---End--
特別聲明:以上內(nèi)容(如有圖片或視頻亦包括在內(nèi))為自媒體平臺“網(wǎng)易號”用戶上傳并發(fā)布,本平臺僅提供信息存儲服務。
Notice: The content above (including the pictures and videos if any) is uploaded and posted by a user of NetEase Hao, which is a social media platform and only provides information storage services.