Pavelink Adeiladwr Ffyrdd Deallus gan Yan Zhang and Jialu Hou

Mae Pavelink Adeiladwr Ffyrdd Deallus gan Yan Zhang and Jialu Hou yn enillydd uchel ei barch o'r 2025 Gwobr Haearn A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Dyfodolaidd.

HaearnDyfodolaidd· 2025

Pavelink Adeiladwr Ffyrdd Deallus

gan Yan Zhang and Jialu Hou

Cleient: Shandong University of Art & Design

Enillydd Gwobr Haearn A' Design Award yn y Categori Dyfodolaidd

71,246

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #168268

Gweld yn A' Design Award Datganiad i'r Wasg Bathodyn Gwobr

Lliwiau

Y Dyluniad

Am Pavelink Adeiladwr Ffyrdd Deallus

Mae Pavelink yn beiriant deallus, modiwlaidd ar gyfer adeiladu ffyrdd sydd wedi'i gynllunio i wella effeithlonrwydd, diogelwch a hygyrchedd mewn datblygiad seilwaith. Mae'n cynnwys system ar ffurf lorri sy'n tynnu pedwar modiwl datodadwy sy'n trawsnewid yn gywasgwyr, llwythwyr, byldosers a chloddwyr ymreolaethol. Mae drôn wedi'i bweru gan AI yn darparu dadansoddiad tir amser real, gan optimeiddio strategaethau pafio. Trwy integreiddio awtomeiddio, addasadwyedd modiwlaidd, a chydlynu clyfar, mae PaveLink nid yn unig yn cyflymu adeiladu ffyrdd ond hefyd yn helpu i leihau anghydraddoldebau seilwaith, gan wneud ffyrdd diogel a dibynadwy yn fwy hygyrch

Y Gydnabyddiaeth

Am y Gwobr Haearn A' Design Award

Mae Pavelink Adeiladwr Ffyrdd Deallus yn enillydd Gwobr Haearn A' Design Award, cydnabyddiaeth fawreddog a roddir i ddyluniadau da sydd yn bodloni'r gofynion proffesiynol a diwydiannol a ddisgwylir gan greadigaethau wedi'u dylunio'n dda. Mae enillwyr Haearn yn dangos medrusrwydd mawr, arbenigedd uchel, dealltwriaeth arbenigol a gallu creadigol eu crewyr. Disgwylir i Pavelink Adeiladwr Ffyrdd Deallus fod yn greadigaeth uchel ei bri, a edmygir ac a anwylir, sydd yn ymarferol ac yn arloesol. Mae'r dyluniad buddugol hwn o Wobr Haearn A' Design Award yn integreiddio arferion gorau'r diwydiant ac mae ganddo nodweddion technegol cymwys wedi'u cysylltu â gwybodaeth ymarferol a dawn. Parchir Pavelink Adeiladwr Ffyrdd Deallus am ei drylwyredd ac fe'i dyluniwyd i ddarparu gwelliannau ansawdd bywyd sydd yn helpu i wneud y byd yn lle gwell.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw: 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.
Dimensiynau a Phecynnu: 17000mm x 4210mm x 3890mm
Tagiau: 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
Technoleg Cynhyrchu: 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.
Her Dylunio: 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.
Ymchwil: 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.
Ysbrydoliaeth: 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.
Hyd y Prosiect: 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.
Llif Gweithrediad: 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.
Aelodau'r Tîm: Yan Zhang
Jialu Hou
Cydnabyddiaeth Delweddau: Project Assistant Lulu Zhang, Wenyi Qin