XCMG competition spotlights AI projects for smarter construction machinery
International companies and universities have won awards for AI projects focused on electric mining equipment, predictive maintenance and automated earthwork monitoring at a competition co-organized by XCMG.
- More than 2750 teams registered for the competition.
- VA Erzberg GmbH won first prize for an electric mining truck project.
- SmartFleet UZ is designed to predict equipment failures and support operators.
- TerraSight AI monitors earthwork progress and moved earth automatically.
- Agreements were signed for six Open Challenge projects and four commercialization projects.
International projects take top awards
The AI + Construction Machinery division of the 15th China Innovation and Entrepreneurship Competition ended in Xuzhou on October 30. The event attracted participants from more than 20 countries and regions, with more than 2750 teams registering and over 1600 projects submitted. After preliminary rounds and semifinals, 106 projects reached the final.
Austria’s VA Erzberg GmbH won first prize in the Customer Co-creation category for its electric mining truck project. Fortescue Trading Shanghai received second prize in the same category for a project based on practical mining experience that aims to optimize the full life cycle of next-generation zero-emission mining equipment.
In the Professional Contest, Uzbekistan’s Urgench State University won third prize in the AI + Product team category for SmartFleet UZ. The AI platform is designed to predict equipment failures and support operators of UzXCMG construction machinery.
AI systems target products and worksites
Indonesia’s Manado State Polytechnic received third prize in the AI + Worksite Scenarios team category for TerraSight AI. The system automatically monitors earthwork progress and the amount of earth moved.
RWTH Aachen received an Excellence Award in the AI + Product team category for a solution that adapts autonomous dump trucks to different operating scenarios. The range of winning projects covers both equipment development and the use of AI to improve how machinery is operated and monitored.
XCMG Group and XCMG Machinery chairman Yang Dongsheng said the competition was intended to turn real industry needs into innovation challenges and connect partners working to solve technical problems in construction machinery. He identified embodied intelligence as an important area of development and said XCMG would use its innovation platforms, testing resources and industry funding to bring AI innovation to worksites and serve customers worldwide.
Agreements link competition projects to commercialization
At the closing ceremony, agreements were signed for six projects selected in the Open Challenge competition area, along with four commercialization projects. XCMG said it will continue connecting competition teams with funding sources, industry and research partners, talent and suppliers to help bring their innovations to market.
For users and the construction machinery market, the competition provides a route from research and industry challenges to equipment and worksite applications. The projects recognized at the event show how participating organizations are applying AI to reduce equipment downtime, support autonomous operations, monitor earthmoving and develop electric mining equipment. According to XCMG, its continued support is intended to help these solutions progress beyond the competition.
