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为了使软件使用更加便捷，我们根据用户反馈，持续在进行相关功能的更新和优化，本期更新了： (1) Copilot的前处理功能，新增了图层隔离、图层修改、飘窗识别等实用性功能； (2) 对之前飘窗和阳台部分轴线提取不理想的问题进行了优化调整，协助用户可以更好的更便捷的完成前处理工作 (3) 我们也对算法进行了改进，设计细节效果提升，欢迎试用！ 1.1 参数设置面板优化 根据用户反馈建议，将参数设置面板分成设计信息、图层信息、标准层参数及楼层组装三个类别，使用起来更加一目了然。 （a）原参数设置界面，没有区分具体参数选项 （b）设计信息输入 （c）图层信息输入 1.2 新增图层隔离功能 前一版本用户在进行图层选择的时候容易出现漏选构件的问题，导致影响后面的智能设计。新增加的“图层隔离”这一功能，用户在进行图层信息选择的时候，每完成选取一个图层的动作后，软件将自动关闭该图层，便于用户检查需要选取的构件是否还有遗漏。在用户全部图层选取完成后，点击参数设置里的“确定”按钮，CAD界面将显示全部已经选取的图层里的相关信息，这也是后续我们做结构设计所需要的全部信息。以下30秒视频展示上述操作过程。 1.3 加强用户交互，增加图层修改功能 新一版本在菜单栏中增加了“修改图层”选项，用户在完成空间轮廓提取步骤后，可根据实际需求将框选构件调整成“可布置剪力墙”、“不可布置剪力墙的隔墙”、“门窗”等构件，增加灵活度，用户可根据实际建筑需要做相应的指定。 （a）菜单栏增加“修改图层”选项 1.4 增加飘窗自动识别 新一版本在进行建筑空间识别时，与卧室空间窗构件对应的小空间（2㎡为判断标准）将自动识别为飘窗，后续结构设计中AI将自动进行调整，如果实际建筑中飘窗的面积超过2㎡，请用户自行进行指定。 （a）前一版本对飘窗位置的处理 1.5 新增消息通知功能 新版本增加了消息通知功能，将发布一些软件相关资讯。用户点击菜单栏的消息通知选项，可按需查询相关资讯。 （a）菜单栏中的消息通知选项 本次更新后设计效果也有显著提升，详见下图，具体更多细节且听下回分解。 
我们更新了前处理功能，完善了用户检查和用户交互等实用性功能，同时对飘窗等部分轴线的提取做了特别处理，协助用户可以更便捷的完成前处理工作，更好的开展智能设计。同时，本次更新设计效果也有所提升，欢迎大家试用。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。 QQ群，AI-structure-交流群：741840451 黄盛楠：huangshengnan@mail.tsinghua.edu.cn 廖文杰：liaowj17@tsinghua.org.cn 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, 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, 2023, 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, 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
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