Huaibo Zhu, Ziteng Li and Weihan Chen 的作品 Drawor 施工放线系统

设计师 Huaibo Zhu, Ziteng Li and Weihan Chen 的作品 Drawor 施工放线系统荣获了极具声望的 2025 A' Design Award 铁奖，竞赛类别为机器人、自动装置与自动化设计。

铁机器人· 2025

Drawor 施工放线系统

设计师： Huaibo Zhu, Ziteng Li and Weihan Chen

客户: Beijing Institute of Technology

机器人类别A' Design Award 铁奖获奖者

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验证 #170950 的获奖状态

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关于 Drawor 施工放线系统

Drawor 是一套专为自动化现场放线而设计的施工放线系统。该系统将无人机、放线机器人与全站仪整合于同一数字化工作流程之中。无人机将机器人和全站仪运送至施工现场，随后机器人自动部署设备并启动放线作业。动态双轨技术将全站仪与机载棱镜相互联动，使障碍物不再阻断视线通路。在大幅减少人工作业的同时，实现毫米级精度。该系统专为复杂的施工环境而打造。

荣誉认可

关于A' Design Award 铁奖

Drawor 施工放线系统是 A' Design Award 铁奖得主，这是授予满足人们对设计精良的创作所期待的专业与工业要求的优良设计的声望认可。铁奖得主展现出其创作者的高超技艺、高度专业化、专家级的理解力和创造能力。预计Drawor 施工放线系统将成为一件备受推崇、令人钦佩且被珍爱的创作，既实用又创新。这件赢得 A' Design Award 铁奖的设计整合了行业最佳实践，并拥有与专业知识和才华相结合的称职技术特性。Drawor 施工放线系统因其严谨而受到尊重，旨在提供有助于让世界变得更美好的生活品质改善。

设计幕后

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由设计师提供的致谢、团队成员及技术详情。

独特属性: The Drawor Construction Layout System is an intelligent unmanned solution that combines a drone, layout robot and total station for intelligent digital collaboration. The drone transports the robot to the site, where it deploys the total station and starts the layout. It uses dynamic dual-track parallel technology and drone-mounted prisms to solve visibility issues caused by obstacles during layout, achieving millimetre-level accuracy. It improves layout accuracy/efficiency, cuts costs, and adapts to complex environments.
尺寸与包装: Dimensions (W mm x D mm x H mm)
Layout robot: 697 x 396 x 190
Drone (including propeller): 1041 x 661 x 134
Total station: 125 x 106 x 303
标签: Construction layout, line-marking robot, total station, UAV deployment, unmanned construction, dynamic dual-track technology, digital construction
生产技术: Drawor construction layout system integrates four core technologies: dual-track dynamic measurement, electric permanent magnet suction cup, laser SLAM navigation, and 5G real-time control to achieve millimetre-level accuracy. It adopts advanced materials such as carbon fibre drones and aerospace aluminium alloy robots to improve construction efficiency and measurement accuracy, and supports digital intelligent construction under complex working conditions.
设计挑战: The challenge of this project is to achieve an intelligent and integrated technological breakthrough in the traditional construction layout model while ensuring system stability and feasibility. From a creative point of view, the goal is to break through the limitations of traditional construction layout equipment that operates independently and relies heavily on manual labour, and to design an efficient and precise solution that adapts to complex construction environments.
研究: This study focuses on unmanned and intelligent construction layout and optimises the plan through experiments and field tests. Dynamic dual-track technology breaks through visibility limitations, enables millimetre-level positioning of unmanned aircraft in collaboration with robots, reduces human intervention, enhances adaptability to complex environments, improves accuracy and efficiency, and reduces safety risks.
灵感: The construction industry is currently undergoing a profound change towards unmanned and automated development, and the traditional form of construction layout has been difficult to meet the high requirements of modern engineering for precision, efficiency and safety. Manual layout has the problems of large error and low efficiency, requiring workers to carry and work on multiple equipments at the same time, which is a cumbersome process and difficult to locate accurately in the complex construction environment.
项目周期: The project begins in March 2024 at the BIT campus and ends in February 2025 at the campus.
操作流程: The Drawor system achieves efficient building automation line drawing solution through automated collaboration. Drones accurately deliver laying robots and total stations to the site, and the robots autonomously deploy and initiate the laying process. The dynamic dual track technology ensures real-time linkage between the total station and the drone prism, breaking through line of sight limitations and achieving millimeter level positioning. Reduce manual intervention and improve efficiency and accuracy.
团队成员: Huaibo Zhu
Ziteng Li
Weihan Chen
Tian Yuan