Chang Sha Wan Bao·2026-01-23 11:01Core Viewpoint - The delivery of the unmanned mining truck, developed by Zoomlion and Xidi Zhijia, marks the beginning of a new era in green smart mining operations, leveraging "green power + full-stack intelligence" solutions [1][3]. Group 1: Product and Technology - The unmanned mining truck is based on the world's largest hybrid wide-body truck ZT160HEV, designed specifically for high-intensity, long-cycle mining environments, excelling in load capacity, energy efficiency, and safety [5]. - The truck features a fully autonomous and controllable technology system, capable of high-level path planning, dynamic lane planning, automatic parking, and collaborative operations, enabling all-weather, unmanned operations [3][5]. - Compared to manned mining trucks, the unmanned version achieves breakthroughs in operational safety, economic efficiency, stability, and organizational efficiency, significantly reducing the impact of adverse weather on production [5]. Group 2: Operational Efficiency and Performance - The project team successfully completed the assembly, debugging, and production processes in just 30 days, overcoming extreme weather challenges, and achieving a new speed for large-scale deliveries in the industry [3]. - The 40 unmanned mining trucks are currently operating in stripping projects, working 18 hours continuously, which has led to a 10% increase in transportation efficiency and a 15% increase in output [5]. - The unmanned operation reduces safety risks by minimizing the number of frontline workers, significantly lowers labor costs, and maximizes lifecycle value through systematic intelligent control [5]. Group 3: Service and Strategic Direction - Zoomlion not only provides high-end intelligent equipment but also has established a comprehensive service guarantee system, including dedicated parts storage and rapid technical support tailored for extreme weather conditions [7]. - The company is committed to the development path of "large-scale, green, and intelligent" mining machinery, actively promoting a transition from traditional manual operations to data-driven, system-optimized smart operations [7].