摘要:
管道碳排放自动计算系统对于管道设计阶段的碳排放预测和碳排放减少路径的研究具有重要意义。本文基于碳中和目标的背景，以《建筑碳排放计算标准》为计算依据，首先总结归纳出主要涉及的管道材料及其碳排放因子，根据BIM建模规范，指定相应的计算标准；其次基于Revit模型中管道的计算量、规格、材质等数据，采用碳排放因子方法，并使用C#+RevitApi对Revit进行二次开发实现了自动计算管道碳排放量的功能，该系统能够帮助设计师快速获取较为准确的管道碳排放量，在设计过程中优化了碳排放，证明了该系统具有广泛的应用前景和市场价值。
摘要:
利用三维激光扫描技术辅助房屋尺寸质量检测，可解决传统人工测量方法人力消耗大、检测率低的问题，但采集到的点云数据通常需要手工分割以提取检测平面，效率低下。因此，本研究提出一种基于点云语义分割的建筑尺寸质量检测方法，包括点云数据轻量化、智能平面分割、智能语义识别和尺寸质量检测四个方面。该方法有效实现了房屋点云数据的自动分割，能基于三维点云数据对室内顶底板标高差、门窗洞口尺寸等指标进行自动测算，预期能提高施工阶段质量验收工作的效率以及测量的准确性。
摘要:
北京城市副中心站是北京市未来的交通中心和活力核心，建成后将成为亚洲最大的地下综合交通枢纽，其在建造过程中将BIM技术等现代信息新技术与传统的工程建造技术深度融合，解决了建造过程中的各种难题，实现了智能建造技术创新。本文对北京副中心站建造过程中面临的六大重难点问题进行分析，并基于BIM技术提出解决方案，详细介绍了基于BIM技术的智能策划与智能管理，以及基于BIM技术的智能建造创新应用，尤其是以数字孪生为核心理念的智能化建造平台，最后对本项目实现的目标进行归纳总结，为将来的项目建设和智能建造技术应用提供参考和指导。
摘要:
近年来，随着混凝土3D打印技术的不断发展，打印成品的质量受到越来越多的关注。打印成品的几何特征已成为评估打印质量的重要指标。针对当前3D打印混凝土几何特征提取中存在的诸如流程复杂、精度有限及缺乏评价指标等问题，本文设计了基于机器视觉的混凝土3D打印几何特征自动提取方法。首先，采用摄像头阵列部署方法获取打印成品的原始图像，并对原图像正畸以提高图像质量；其次，通过语义分割模型U-Net提取打印成品的几何特征，并对得到的结果进行优化；最后，通过量化的指标值，对其进行了可视化并评价打印结果。实验证明，本文提出的几何特征自动提取方法具有速度快、精度高等显著优势；此外，系统化的打印评价指标可为混凝土3D打印质量评估提供借鉴参考。
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