0引言 随着研究的进展，AI设计的算法库越来越丰富，我们将多种算法相互融合，取长补短，在AIstructure-Copilot-V0.3.4版本实现了新的融合算法。同时，为了及时把最新最好的算法提供给用户，我们提供了新算法尝新功能。此外，我们也将前处理部分做了更加精细化的处理，可以使用户操作起来更加顺畅，欢迎大家试用。1新算法尝新功能每次软件升级到新的版本，都可能会引入新的缺陷。特别是对于AI这类发展很快的领域，如何在“算法快速迭代升级”和“性能稳定”取得平衡往往是比较困难的。为了解决这一难题，我们决定同时将稳定版和研发中的测试版的设计结果都提供给用户。这样喜欢稳定的用户还是可以继续使用稳定版的设计结果，喜欢尝新的用户可以看看测试版的设计结果。也欢迎大家及时将发现的测试版的问题反馈给我们。这样我们可以及时调整AI算法。待测试版的算法稳定后，我们将移植测试版的结果到新的稳定版里面。 图1 新增测试版设计结果，第一组为测试版设计结果，第二到四组为稳定版设计结果2算法深度融合，AI设计能力更强大2023年11月以来，AIstructure-Copilot采用生成对抗网络、图神经网络、扩散模型等不同的AI算法进行结构智能设计，可以给出不同的设计方案供用户选择。随着研究的深入，我们算法库里面的算法越来越多，我们综合考虑设计的效果和结果的多样性，将不同算法融合成3套算法，分别生成相应的设计结果供用户选用。3前处理功能持续提升3.1 部分墙体、轴线提取能力提升针对一些复杂图纸，之前的版本对部分轴线和墙体的识别能力不足，需要用户后期手动进行修改调整，AIstructure-Copilot-V0.3.4版本对此进行了升级优化，如图2和图3所示，新的版本识别能力显著增强。 （a）升级优化前 （b）升级优化后图2 复杂图纸部分墙体的提取 （a）升级优化前 （b）升级优化后图3 复杂图纸部分窗轴线的提取3.2 管道井附近墙体提取能力提升在部分隔墙与建筑墙出现偏移时，旧版本在管道井部分会出现构件轴线提取异常的情况，AIstructure-Copilot-V0.3.4版本对此进行了优化处理，如图4所示。 （a）升级优化前 （b）升级优化后图4 管道井部分的构件处理4结语AIstructure-Copilot发展至今，算法不断进化，操作也更加便捷，带给用户更好的使用体验，可以更好的辅助工程师开展工作，欢迎大家试用。这里有彩蛋哦！随着住建部好房子标准的公布，我们的工程师也在加紧对AI进行新标准设计的训练，敬请期待！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--相关论文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. 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