Huaibo Zhu, Ziteng Li and Weihan Chen 嘅作品 Drawor 建築放樣系統

由設計師 Huaibo Zhu, Ziteng Li and Weihan Chen 創作嘅 Drawor 建築放樣系統係備受推崇嘅 2025 A' Design Award 鐵獎得獎作品，獲獎類別為機械人設計。

鐵機械人· 2025

Drawor 建築放樣系統

由 Huaibo Zhu, Ziteng Li and Weihan Chen

客戶: Beijing Institute of Technology

機械人類別嘅 A' Design Award 鐵獎得獎者

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驗證設計 #170950 嘅獲獎狀態

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設計

關於 Drawor 建築放樣系統

Drawor係一套專為自動化現場放樣而設計嘅建築放樣系統。Drawor系統將無人機、放樣機械人同全站儀結合喺同一個數碼工作流程當中。無人機負責將機械人同全站儀運送到施工現場，然後機械人部署設備並開始放樣作業。動態雙軌技術將全站儀同無人機搭載嘅稜鏡連結起來，令障礙物再唔會阻擋視線。系統可達到毫米級精度，同時大幅減少人手工作量，特別適用於複雜嘅施工環境。

榮譽認可

關於A' Design Award 鐵獎

Drawor 建築放樣系統是 A' Design Award 鐵獎得主，這是授予滿足人們對設計精良的創作所期待的專業與工業要求的優良設計的聲望認可。鐵獎得主展現出其創作者的高超技藝、高度專業化、專家級的理解力和創造能力。預計Drawor 建築放樣系統將成為一件備受推崇、令人欽佩且被珍愛的創作，既實用又創新。這件贏得 A' Design Award 鐵獎的設計整合了行業最佳實踐，並擁有與專業知識和才華相結合的稱職技術特性。Drawor 建築放樣系統因其嚴謹而受到尊重，旨在提供有助於讓世界變得更美好的生活品質改善。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性: 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.
尺寸同包裝: 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
標籤: Construction layout, line-marking robot, total station, UAV deployment, unmanned construction, dynamic dual-track technology, digital construction
生產技術: 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.
設計挑戰: 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.
靈感: 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.
項目時長: 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.
團隊成員: Huaibo Zhu
Ziteng Li
Weihan Chen
Tian Yuan