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Proceedings of the 2022 European Conference on Computing in Construction最新文献

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A mixed reality application for holographic structural analysis experiments 混合现实在全息结构分析实验中的应用
Pub Date : 2022-07-24 DOI: 10.35490/ec3.2022.206
Mirboland Mahsa, Tasliarmut Fulya, A. Lars, Koch Christian
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引用次数: 0
Investigating energy savings when using iot devices in buildings: a case study in the uk 在建筑物中使用物联网设备时调查节能:英国的案例研究
Pub Date : 2022-07-24 DOI: 10.35490/ec3.2022.179
O. Adole, Feng Haibo, Chen Qian, Borja García de Soto
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引用次数: 0
Decision support system for occupancy-oriented facility management: methodology and first results 面向使用的设施管理决策支持系统:方法和初步结果
Pub Date : 2022-07-24 DOI: 10.35490/ec3.2022.204
Pellegrini Laura, Seghezzi Elena, Tagliabue Lavinia Chiara, Di Giuda Giuseppe Martino, Schievano Marco, Tucci Alessandro
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引用次数: 0
Towards circular cities: directions for a material passport ontology 走向循环城市:物质护照本体的方向
Pub Date : 2022-07-24 DOI: 10.35490/ec3.2022.212
Soman Ranjith K., Kedir Firehiwot Nesro, H. Daniel M.
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引用次数: 1
A process-based framework for digital building logbooks 基于流程的数字建筑日志框架
Pub Date : 2022-07-24 DOI: 10.35490/ec3.2022.183
M. Pedro, Calvetti Diego, Kifokeris Dimosthenis, Kassem Mohamad
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引用次数: 2
IFC-based generation of semantic obstacle maps for autonomous robotic systems 基于ifc的自主机器人系统语义障碍图生成
Pub Date : 2022-07-24 DOI: 10.35490/ec3.2022.161
Gopee Muhammad Anas, Prieto Samuel A., Borja García de Soto
Autonomous Robotic Systems (ARSs) in the construction industry usually have to perform preliminary mapping of construction environments before deployment. For large and complex sites, this can be unpractical and time-consuming, making the avoidance of preliminary mapping a motivation for this study. With Building Information Modeling (BIM), a lot of information is already available about sites. This study proposes a method to make that information available to ARSs to streamline autonomous tasks and remove the need for mapping. This is achieved by automatically generating semantic and color-coded obstacle maps from IFC files. The results are obstacle maps that can be used for autonomous navigation that remove the need for preliminary mapping.
建筑行业中的自主机器人系统(ars)在部署前通常需要对建筑环境进行初步测绘。对于大型和复杂的站点,这可能是不切实际和耗时的,因此避免初步绘图是本研究的动机。有了建筑信息模型(BIM),很多关于场地的信息已经可用。本研究提出了一种方法,使这些信息可用于ars,以简化自主任务并消除对映射的需要。这是通过自动从IFC文件生成语义和颜色编码的障碍图来实现的。结果是可以用于自动导航的障碍物地图,无需预先绘制地图。
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引用次数: 2
Incooperatimg machine learning for rapid blast resilence assessment 用于快速爆炸弹性评估的非合作机器学习
Pub Date : 2022-07-24 DOI: 10.35490/ec3.2022.171
Salem Shady, Torky Islam
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引用次数: 0
Data integration through a bim-gis web platform for the management of diffused university assets 通过bim-gis网络平台进行数据集成,实现高校分散资产的管理
Pub Date : 2022-07-24 DOI: 10.35490/ec3.2022.217
Meschini Silvia, Accardo Daniele, Avena Marco, Seghezzi Elena, Tagliabue Lavinia Chiara, Di Giuda Giuseppe Martino
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引用次数: 1
Exploring lorawan technology for internet of things paradigm application to construction sites 探索lorawan技术在建筑工地的物联网范式应用
Pub Date : 2022-07-24 DOI: 10.35490/ec3.2022.227
Rinaldi Stefano
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引用次数: 0
Optimal ventilation strategies for balancing indoor air quality, comfort and energy use in educational buildings. the IAQ4EDU project. 平衡教育建筑室内空气质量、舒适度和能源使用的最佳通风策略。IAQ4EDU项目。
Pub Date : 2022-07-24 DOI: 10.35490/ec3.2022.151
Gaspar Katia, Gangolells Marta, Casals Miquel, Ferré-Bigorra Jaume, Pujadas Pablo
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引用次数: 1
期刊
Proceedings of the 2022 European Conference on Computing in Construction
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