Pavelink Intelligente Stroossebauer vum Yan Zhang and Jialu Hou

D'Wierk Pavelink Intelligente Stroossebauer vum Designer Yan Zhang and Jialu Hou ass en héich geschätzten Gewënner vum prestigiéisen 2025 A' Design Award an Eisen an der Wettbewerbskategorie Futuristescht Design.

EisenFuturistesch· 2025

Pavelink Intelligente Stroossebauer

vum Yan Zhang and Jialu Hou

Client: Shandong University of Art & Design

A' Design Award an Eisen Gewënner an der Kategorie Futuristesch

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Faarwen

Den Design

Iwwer Pavelink Intelligente Stroossebauer

De Pavelink ass eng intelligent, modular Stroossebaumaschinn déi entwéckelt gouf fir d'Effizienz, Sécherheet an Zougänglechkeet an der Infrastrukturentwicklung ze verbesseren. D'Maschinn besteet aus engem Camion-baséierte System dat véier oftrennbar Modulen zitt, déi sech an autonom Kompaktor, Loader, Bulldozer an Excavateur transforméieren. Eng AI-gedriwwen Drone liwwert Echtzäit-Terrainanalysen a optiméiert d'Asphaltéierungsstrategien. Duerch d'Integratioun vun Automatisatioun, modularer Adaptabilitéit a smarter Koordinatioun beschleunegt de PaveLink net nëmmen de Stroossebau, mee hëlleft och Infrastrukturungleechheten ze reduzéieren a mécht sécher a zouverlässeg Stroossen méi zougänglech.

D'Unerkennung

Iwwer den A' Design Award an Eisen

Pavelink Intelligente Stroossebauer ass e Gewënner vum A' Design Award an Eisen, enger prestigiéiser Unerkennung, déi un gutt Designe vergi gëtt, déi déi professionell an industriell Ufuerderunge erfëllen, déi vu gutt gestaltene Kreatioune erwaart ginn. Eisen-Gewënner weisen déi grouss Fäegkeet, déi héich Spezialiséierung, dat Expertewëssen an d'kreativ Kapazitéit vun hire Schëpfer. Et gëtt erwaart, datt Pavelink Intelligente Stroossebauer eng héich geschätzt, bewonnert a beléifte Kreatioun ass, déi praktesch an innovativ ass. Dëst mam Eisen ausgezeechent Design integréiert déi beschte Praktike vun der Industrie a huet kompetent technesch Eegeschaften, déi mat Know-how an Talent verbonne sinn. Pavelink Intelligente Stroossebauer gëtt fir seng Grëndlechkeet respektéiert a ass gestalt, d'Liewensqualitéit ze verbesseren an ze hëllefen, d'Welt zu enger besserer Plaz ze maachen.

Hannert dem Design

Press Kit

Credits, Teammemberen an technesch Detailer vum Designer zur Verfügung gestallt.

Eenzegaarteg Eegeschaften: PaveLink is a next-generation intelligent road builder, designed to enhance efficiency and safety in disaster relief and infrastructure projects. Unlike traditional road machinery, it features a modular architecture, allowing its components to detach and function autonomously for excavation, loading, bulldozing, and compacting. The truck head serves as the central control hub, managing all modules and processing real-time aerial drone data for optimized decision-making. This AI-enhanced system redefines the future of road construction.
Dimensiounen & Verpackung: 17000mm x 4210mm x 3890mm
Tags: Autonomous Road Construction, Modular Heavy Machinery, AI-driven Paving System, Smart Road Builder, IoT in Construction, Disaster Relief Equipment, Smart Construction Technology, Unmanned Machinery, Collaborative Fleet
Produktiounstechnologie: The design follows a human-centered approach, addressing inequalities in infrastructure development while enhancing safety in road construction. A modular design strategy improves efficiency and functionality, integrating cutting-edge technologies such as IoT, autonomous driving, and AI-assisted automation to minimize labor dependency. Powered by electricity, PaveLink utilizes drone inspections and backend data analysis for multi-module collaboration. It is not just an improvement of existing machinery but a new category of heavy machines.
Design Erausfuerderung: PaveLink is not a traditional construction vehicle but a new category of heavy machinery, making it a pioneering design with no direct reference models. The challenge was to integrate multiple functions while ensuring practicality and efficiency. Setting high design standards required continuous validation. Through multiple iterations, expert consultations, and prototype testing with industry partners, we developed a modular and intelligent collaborative system to meet real-world construction demands.
Fuerschung: This research is a collaborative project between academia and industry, exploring how emerging technologies can be integrated into large-scale machinery to solve real-world challenges in infrastructure development and unequal access to construction resources. The study combined academic creativity with industrial expertise, where universities contributed design innovation, and companies provided technical support and operator insights through interviews and feedback. This collaboration ensured PaveLink’s feasibility, advancing smart construction solutions that promote efficiency, safety, and inclusivity in future infrastructure development.
Inspiratioun: Road construction is the backbone of local development, yet many underdeveloped regions, disaster-affected areas, and rugged terrains face immense challenges in building and maintaining roads. High construction complexity and safety risks remain persistent issues. Inspired by emerging technologies, PaveLink integrates AI-driven automation and IoT connectivity to address disparities in infrastructure development, making road construction smarter, faster, and more resilient.
Projetdauer: The project was launched in Shandong in February 2024 and concluded in Shandong in June 2024. It was recognized by the Shandong provincial government and participated in the 14th National Art Exhibition of China in 2024.
Operatiounsablaf: Initially, PaveLink appears as a single truck, with all road-building modules connected. Upon reaching the construction site, the truck head acts as the command center, operated by technicians. The modules detach and transition into autonomous operation, optimizing workflow through AI-coordinated control. Powered by electricity, all units remain linked via cables, receiving real-time power and instructions. Aerial drones detach to provide precise terrain mapping and safety monitoring, ensuring optimal performance in complex environments.
Teammemberen: Yan Zhang
Jialu Hou
Bildnoweis: Project Assistant Lulu Zhang, Wenyi Qin