Copilot-v0.2.7技术背景（1）：基于PKPM API的自动化建模和计算分析
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引言
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引言
日前，我们发布更新了AIstructure-Copilot-v0.2.7版本（AIstructure-Copilot-v0.2.7：新增后处理功能，云端完成PKPM结构计算和AIstructure优化），该版本可针对AI初步完成的智能设计结果，自动搭建基于PKPM-API的结构力学分析模型并进行计算分析，同时，根据计算分析结果对AI设计结果进行优化调整。
本篇我们针对该版本基于PKPM-API的自动化建模和计算分析的技术背景进行详细介绍，欢迎大家与我们一同讨论。
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基于PKPM-API的模型自动构建
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基于PKPM-API的模型自动构建
1.1 根据几何与材料信息自动搭建PKPM模型
（1）根据AI设计的结构化数据，对剪力墙和梁构件的几何坐标进行读取、清洗和坐标转化；
（2）调用PKPM自动建模接口创建剪力墙-梁构件的几何与材料属性；
（3）调用PKPM自动生成楼板接口创建楼板构件；
（4）通过读取建筑构件和空间功能信息，与生成的梁和楼板构件进行匹配，基于功能属性进行梁上线荷载以及楼板面荷载赋值；
（5）将多标准层进行楼层组装，完成结构模型自动化构建。
自动搭建的PKPM结构模型效果如下图。
1.2 自动计算并施加荷载
在自动搭建的PKPM结构模型基础上，可自动进行精细化的荷载布置：
（1）通过识别梁与建筑构件的相交信息，根据梁上为建筑墙或者门窗设置梁上线荷载；
（2）通过识别楼板所处空间信息，根据电梯、楼梯、阳台、卫生间等功能设置楼板荷载。
荷载取值图
自动施加的荷载布置效果如下图。
（a）梁荷载布置（未注明的为6.16kN/m）
（b）板荷载布置（kN/m2）
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基于PKPM-API的模型自动分析计算
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基于PKPM-API的模型自动分析计算
在自动搭建了PKPM结构模型并进行了自动的荷载布置后，通过调用PKPM“分析和结果提取”接口，对模型进行计算，并提取相应的力学性能指标。同时，AI会将自动提取的力学性能指标与规范限制进行比较，判断其结果是否满足规范并输出。
（a）调用PKPM-API提取结果指标
（b）将提取结果与规范限制进行比较
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结语
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结语
AIstructure-Copilot-v0.2.7版本基于PKPM-API开展自动化建模和计算分析，根据计算分析结果对AI设计结果进行优化调整，从而能够更好地符合规范要求，欢迎大家试用。也特别感谢北京构力的各位专家在PKPM-API开发方面提供的宝贵协助。
至于AIstructure-Copilot是如何基于PKPM计算结果进行优化的，我们将在后续文案中加以介绍，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。
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