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Pavelink Mpanamboatra Lalana Manan-tsaina by Yan Zhang and Jialu Hou

Pavelink Mpanamboatra Lalana Manan-tsaina by Yan Zhang and Jialu Hou is a highly esteemed winner of the very prestigious 2025 A' Design Award Vy in Famolavolana Ho Avy Competition Category.


VyHo Avy· 2025

Pavelink Mpanamboatra Lalana Manan-tsaina

by Yan Zhang and Jialu Hou

Client: Shandong University of Art & Design

A' Design Award Vy Winner in Ho Avy Category

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Verified Award Winner

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Colors

The Design

About Pavelink Mpanamboatra Lalana Manan-tsaina

Ny Pavelink dia milina manan-tsaina sy modular hanaovana lalana noforonina hanatsarana ny fahombiazana, ny fiarovana, ary ny fahafahana miditra amin'ny fampandrosoana fotodrafitrasa. Manana rafitra miendrika kamiao mitarika maody efatra azo esorina izay miova ho mpanery, mpamaky, bulldozer ary excavateur mahaleotena. Ny drone mandeha amin'ny AI manome famakafakana tany amin'ny fotoana tena izy, manatsara ny paikady fametrahana lalana. Amin'ny alalan'ny fampidirana ny automatisation, ny fahaiza-mampifanaraka modular, ary ny fandrindrana manan-tsaina, ny PaveLink dia tsy manafaingana ny fanorenana lalana ihany fa manampy amin'ny fampihenana ny tsy fitovian'ny fotodrafitrasa, ka mahatonga ny lalana azo antoka sy azo itokisana ho mora kokoa.

The Recognition

About the A' Design Award Vy

Nandresy ny A' Design Award Vy ny famolavolana Pavelink Mpanamboatra Lalana Manan-tsaina, fankasitrahana malaza omena ny famolavolana tsara izay mahafeno ny fepetra ara-barotra sy ara-indostria andrasana amin'ny famoronana natao tsara. Ny mpandresy Vy dia mampiseho fahaiza-manao lehibe, fahaizana manokana ambony, fahatakarana manam-pahaizana ary fahaizana mamorona an'ireo mpamorona azy. Andrasana ho famoronana ankasitrahana be, ankafizina ary tiana izay azo ampiharina sady vaovao ny famolavolana Pavelink Mpanamboatra Lalana Manan-tsaina. Ity famolavolana nandresy ny A' Design Award Vy ity dia mampiray ny fomba fanao tsara indrindra amin'ny indostria ary manana toetra ara-teknika mahomby mifandray amin'ny fahalalana sy ny talenta. Ny famolavolana Pavelink Mpanamboatra Lalana Manan-tsaina dia hajaina noho ny fitandremany ary natao hanome fanatsarana ny kalitaon'ny fiainana izay manampy hahatonga ny tontolo ho toerana tsara kokoa.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties
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.
Dimensions & Packaging
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
Production Technology
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 Challenge
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.
Research
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.
Inspiration
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.
Project Duration
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.
Operation Flow
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.
Team Members
Yan Zhang
Jialu Hou
Image Credits
Project Assistant Lulu Zhang, Wenyi Qin

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