Umdwebo Pavelink Umakhi Womgwaqo Ohlakaniphile ngu-Yan Zhang and Jialu Hou ungumnqobi ohlonishwa kakhulu womklomelo odumile we-2025 Umklomelo Wensimbi we-A' Design Award Esigabeni Somncintiswano se-Okwesikhathi Esizayo.
InsimbiOkwesikhathi Esizayo· 2025
Pavelink Umakhi Womgwaqo Ohlakaniphile
Iklayenti: Shandong University of Art & Design
Umnqobi we-Umklomelo Wensimbi we-A' Design Award Esigabeni se-Okwesikhathi Esizayo
Umnqobi Womklomelo Oqinisekisiwe
Qinisekisa Isimo Somklomelo se-#168268Ukuklama
Mayelana ne-Pavelink Umakhi Womgwaqo Ohlakaniphile
I-PaveLink ngumshini wokwakha imigwaqo ohlakaniphile, onezingxenye ezihlukanayo oklanyelwe ukwenza ngcono ukusebenza kahle, ukuphepha, nokufinyeleleka ekuthuthukisweni kwengqalasizinda. Uqukethe uhlelo olwakhiwe ngeloli ehudula izingxenye ezine ezihlukanayo eziguquka zibe iziminyanisi ezizimele, izilayishi, amabhuludoza, nemishini yokumba. Indiza ehanjiswa ubuhlakani bokwenziwa inikeza ukuhlaziywa kwesimo somhlaba ngesikhathi sangempela, ukwenza ngcono amasu okuphavula. Ngokuhlanganisa ukuzenzakalelayo, ukuguquguquka kwezingxenye, nokuxhumana okuhlakaniphile, i-PaveLink ayisheshisi kuphela ukwakhiwa kwemigwaqo kodwa futhi isiza ekunciphiseni ukungalingani kwengqalasizinda, yenze imigwaqo ephephile nethembekile ibe lula ukuyifinyelelela
Ukuqashelwa
Mayelana ne-Umklomelo Wensimbi we-A' Design Award
Pavelink Umakhi Womgwaqo Ohlakaniphile iwinile uMklomelo Wensimbi we-A' Design Award, ukwaziswa okuhloniphekile okunikezwa imiklamo emihle ehlangabezana nezidingo zobungcweti nezemboni ezilindelekile ezimpahleni ezihlelwe kahle. Abawinile beNsimbi babonisa ikhono elikhulu, ubungcweti obuphezulu, ukuqonda kochwepheshe namandla okudala abadali babo. Pavelink Umakhi Womgwaqo Ohlakaniphile ilindeleke ukuba ibe yinto exatshwa kakhulu, edunyiswayo nethandwayo esebenzayo nenezinto ezintsha. Lo mklamo owinile uMklomelo Wensimbi we-A' Design Award uhlanganisa izindlela ezinhle kakhulu zemboni futhi unezimfanelo zobuchwepheshe ezifanelekile ezihlanganiswe nolwazi nethalente. Pavelink Umakhi Womgwaqo Ohlakaniphile iyahlonishwa ngenxa yokucophelela kwayo futhi ihlelelwe ukulethela izinguquko zomgangatho wempilo ezisiza ukwenza umhlaba ube yindawo engcono.
Ngemuva Kokuklama
Iphakheji Yabezindaba
Ama-credit, amalungu eqembu nemininingwane yobuchwepheshe ehlinzekwe ngumklami.
- Izici Ezihlukile
- 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.
- Izilinganiso Nokupakisha
- 17000mm x 4210mm x 3890mm
- Amathegi
- 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
- Ubuchwepheshe Bokukhiqiza
- 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.
- Inselele Yokudweba
- 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.
- Ucwaningo
- 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.
- Ugqozi
- 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.
- Ubude Bephrojekthi
- 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.
- Ukuhamba Kokusebenza
- 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.
- Amalungu Eqembu
- Yan Zhang
Jialu Hou - Amakhredithi Ezithombe
- Project Assistant Lulu Zhang, Wenyi Qin
Okuxhasiwe
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