摘要:
本文结合清华大学与清大东方智能科技有限公司的最新研究成果，介绍了“图智2.0：施工图消防AI审查系统”与现实图审业务运营管理系统的创新实践。将AI审图功能集成到实际消防图审管理流程中，提出了面向全套施工图的消防审查AI机器人解决方案，并在实际消防图审业务中进行了应用。初步实践结果表明，当前AI审图机器人能够自动接收审图任务、执行全自动审查并提交规范化的审查结果。AI审图机器人已初步应用于幼儿园、学校、住宅等多类民用建筑的消防图审项目，提高了审查的客观性与效率；同时，本文提出的AI消防审查解决方案为人工智能技术在消防审查行业的应用提供了有益参考。
摘要:
针对高层建筑施工过程中的庞大内容和复杂的组织关系，本文首先深入分析了二维纸质工艺图纸和文件作为技术交底形式所带来的抽象性、理解困难、规范性差及数据一致性难以保障等问题。基于对高层建筑施工工艺特性和信息集成需求的分析，本文规范化定义了施工工艺的要素和属性，提出了基于工艺结构树的施工工艺信息组织管理方法，并构建了多层级工艺信息模型以实现工艺信息的结构化表达。借鉴制造业的MBD理念，本文以工艺结构树为数据组织核心，结合BIM模型与工艺信息卡片，提出了集成几何设计与施工工艺信息的三维施工工艺结构化表征框架。最后，通过开发交互式作业指导系统并结合实际案例验证，完成了项目主体、工艺和各类资源的有序整合，为智能建造提供了理论与方法支持。
摘要:
轻钢厂房设计包括结构设计、施工图设计、加工图设计及围护面板设计等多个流程，当前各设计流程之间的数据流动并不顺畅。本研究设计了一套轻钢厂房全过程设计系统，消除了各设计流程间的数据流通障碍，符合传统设计流程，并避免了重复建模，提高了轻钢厂房设计效率。
摘要:
建筑工程施工现场人员密集、环境复杂，存在大量危险源和危险区域，违规进入这些区域会带来重大安全隐患甚至引发安全事故。现有的施工现场监控主要依靠专职安全员巡查，存在耗时、耗力、预警不及时等问题。为提高施工现场监控效率，充分利用已有摄像头资源，本文基于双目立体视觉技术和深度学习，提出了一种施工机械危险区域侵入检测方法。首先梳理相关文献，确定危险区域的划分方法；然后通过目标检测算法检测施工人员和机械的像素定位，利用双目立体视觉技术计算人机距离，并改进了人机距离判定方法，根据检测距离判断是否侵入危险区域；最后通过施工现场综合模拟实验验证，结果显示该方法能够准确识别施工人员侵入危险区域的行为，并提供预警信息，有效提高施工现场的监控效率和安全性。
[{"year":"2024","volume":"16","issues":["4","3","2","1"]},{"year":"2023","volume":"15","issues":["6","5","4","3","2","1"]},{"year":"2022","volume":"14","issues":["6","5","4","3","2","1"]},{"year":"2021","volume":"13","issues":["6","5","4","3","2","1"]},{"year":"2020","volume":"12","issues":["6","5","4","3","2","1"]},{"year":"2019","volume":"11","issues":["6","5","4","3","2","1"]},{"year":"2018","volume":"10","issues":["6","5","4","3","2","1"]},{"year":"2017","volume":"9","issues":["6","5","4","3","2","1"]},{"year":"2016","volume":"8","issues":["6","5","4","3","2","1"]},{"year":"2015","volume":"7","issues":["6","5","4","3","2","1"]},{"year":"2014","volume":"6","issues":["6","5","4","3","2","1"]},{"year":"2013","volume":"5","issues":["6","5","4","3","2","1"]},{"year":"2012","volume":"4","issues":["4","3","2","1"]},{"year":"2011","volume":"3","issues":["4","3","2","1"]},{"year":"2010","volume":"2","issues":["4","3","2","1"]},{"year":"2009","volume":"1","issues":["2","1"]}]
