Pavelink Construtor Rodoviário Inteligente por Yan Zhang and Jialu Hou

O design Pavelink Construtor Rodoviário Inteligente por Yan Zhang and Jialu Hou é um vencedor altamente estimado do prestigioso 2025 A' Design Award de Ferro na Categoria de Competição Design Futurista.

FerroFuturista· 2025

Pavelink Construtor Rodoviário Inteligente

por Yan Zhang and Jialu Hou

Cliente: Shandong University of Art & Design

Vencedor do A' Design Award de Ferro na Categoria Futurista

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O Design

Sobre Pavelink Construtor Rodoviário Inteligente

Pavelink é uma máquina inteligente e modular de construção rodoviária projetada para aprimorar a eficiência, segurança e acessibilidade no desenvolvimento de infraestrutura. Apresenta um sistema baseado em caminhão que reboca quatro módulos destacáveis que se transformam em compactadores, carregadeiras, tratores de esteira e escavadeiras autônomos. Um drone equipado com IA fornece análise de terreno em tempo real, otimizando estratégias de pavimentação. Ao integrar automação, adaptabilidade modular e coordenação inteligente, o Pavelink não apenas acelera a construção rodoviária, mas também ajuda a reduzir as disparidades de infraestrutura, tornando estradas seguras e confiáveis mais acessíveis

O Reconhecimento

Sobre o A' Design Award de Ferro

Pavelink Construtor Rodoviário Inteligente conquistou o A' Design Award de Ferro, um reconhecimento prestigiado atribuído a bons designs que cumprem os requisitos profissionais e industriais esperados de criações bem concebidas. Os vencedores do Ferro demonstram grande habilidade, elevada especialização, compreensão especializada e capacidade criativa dos seus criadores. Espera-se que Pavelink Construtor Rodoviário Inteligente seja uma criação muito considerada, admirada e estimada, prática e inovadora. Este design vencedor do A' Design Award de Ferro integra as melhores práticas do setor e tem características técnicas competentes associadas a conhecimento especializado e talento. Pela sua minúcia, Pavelink Construtor Rodoviário Inteligente merece respeito e destina-se a proporcionar melhorias na qualidade de vida que ajudam a tornar o mundo num lugar melhor.

Por Trás do Design

Kit de Imprensa

Créditos, membros da equipa e detalhes técnicos fornecidos pelo designer.

Propriedades Únicas: 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.
Dimensões e Embalagem: 17000mm x 4210mm x 3890mm
Etiquetas: 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
Tecnologia de Produção: 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.
Desafio de Design: 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.
Pesquisa: 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.
Inspiração: 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.
Duração do Projeto: 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.
Fluxo de Operação: 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.
Membros da Equipa: Yan Zhang
Jialu Hou
Créditos de Imagem: Project Assistant Lulu Zhang, Wenyi Qin